New York Islanders | |
GP: 31 | W: 15 | L: 11 | OTL: 5 | P: 35 GF: 92 | GA: 88 | PP%: 15.38% | PK%: 86.59% DG: Stephane Dion | Morale : 99 | Moyenne d’équipe : 73 Prochains matchs #454 vs New Jersey Devils |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Evgeni Malkin (C) | X | 100.00 | 99 | 90 | 60 | 83 | 77 | 87 | 85 | 99 | 91 | 99 | 99 | 73 | 86 | 99 | 99 | 25 | 99 | 82 | 0 | 38 | 2 | 8,250,000$ | ||||
2 | Milan Michalek (A) | X | X | 100.00 | 26 | 2 | 99 | 80 | 81 | 80 | 78 | 99 | 87 | 99 | 96 | 74 | 82 | 99 | 99 | 24 | 99 | 80 | 0 | 39 | 1 | 6,400,000$ | |||
3 | Nikita Filatov | X | X | 100.00 | 37 | 2 | 99 | 83 | 73 | 83 | 85 | 99 | 55 | 99 | 99 | 64 | 82 | 86 | 87 | 34 | 99 | 79 | 0 | 34 | 6 | 6,800,000$ | |||
4 | Sam Steel | X | 100.00 | 76 | 41 | 74 | 84 | 76 | 79 | 81 | 91 | 85 | 83 | 81 | 72 | 68 | 56 | 69 | 69 | 99 | 74 | 0 | 26 | 2 | 2,600,000$ | ||||
5 | Jesper Boqvist | X | X | X | 100.00 | 80 | 39 | 72 | 87 | 76 | 79 | 82 | 87 | 87 | 81 | 79 | 75 | 73 | 67 | 65 | 63 | 99 | 74 | 0 | 25 | 3 | 2,900,000$ | ||
6 | Yevgeni Svechnikov | X | X | 100.00 | 92 | 50 | 73 | 86 | 78 | 84 | 84 | 80 | 53 | 73 | 73 | 77 | 71 | 59 | 62 | 60 | 99 | 73 | 0 | 28 | 3 | 2,500,000$ | |||
7 | Trevor Zegras | X | X | X | 100.00 | 78 | 37 | 73 | 87 | 73 | 84 | 84 | 89 | 85 | 83 | 76 | 75 | 68 | 46 | 55 | 80 | 99 | 73 | 0 | 23 | 2 | 2,100,000$ | ||
8 | Mark McNeill | X | X | X | 100.00 | 96 | 57 | 73 | 88 | 79 | 84 | 84 | 68 | 87 | 67 | 71 | 75 | 66 | 76 | 78 | 40 | 99 | 72 | 0 | 30 | 1 | 2,500,000$ | ||
9 | Brayden Schenn | X | X | 100.00 | 65 | 30 | 85 | 89 | 78 | 84 | 84 | 73 | 87 | 66 | 65 | 74 | 73 | 98 | 99 | 38 | 99 | 72 | 0 | 33 | 1 | 500,001$ | |||
10 | Oliver Wahlstrom | X | 100.00 | 69 | 29 | 86 | 87 | 79 | 86 | 84 | 76 | 53 | 65 | 76 | 75 | 71 | 51 | 75 | 69 | 99 | 71 | 0 | 24 | 3 | 1,500,000$ | ||||
11 | Marko Dano | X | X | X | 100.00 | 72 | 33 | 79 | 88 | 81 | 82 | 84 | 67 | 89 | 58 | 67 | 74 | 73 | 75 | 70 | 52 | 99 | 69 | 0 | 29 | 2 | 900,000$ | ||
12 | Hendrix Lapierre (R) | X | 100.00 | 76 | 43 | 67 | 86 | 75 | 72 | 74 | 84 | 79 | 77 | 72 | 67 | 66 | 45 | 55 | 75 | 99 | 69 | 0 | 22 | 5 | 1,450,000$ | ||||
13 | Martin Gernat | X | 100.00 | 38 | 1 | 99 | 85 | 77 | 86 | 84 | 98 | 59 | 93 | 89 | 61 | 67 | 72 | 76 | 30 | 99 | 75 | 0 | 30 | 3 | 3,400,000$ | ||||
14 | Jake Bean | X | 100.00 | 59 | 16 | 92 | 82 | 76 | 86 | 84 | 85 | 56 | 87 | 85 | 75 | 71 | 54 | 59 | 66 | 99 | 74 | 0 | 26 | 2 | 3,600,000$ | ||||
15 | Tyler Myers (A) | X | 100.00 | 61 | 30 | 86 | 87 | 83 | 84 | 84 | 64 | 59 | 60 | 67 | 74 | 74 | 99 | 99 | 27 | 99 | 72 | N | 0 | 34 | 6 | 2,200,000$ | |||
16 | Ben Harpur | X | 100.00 | 94 | 55 | 68 | 81 | 83 | 85 | 85 | 51 | 57 | 51 | 51 | 82 | 58 | 69 | 77 | 46 | 99 | 72 | 0 | 29 | 2 | 2,100,000$ | ||||
17 | Lukas Cormier (R) | X | 100.00 | 69 | 32 | 76 | 85 | 71 | 81 | 81 | 85 | 50 | 77 | 76 | 64 | 71 | 58 | 78 | 65 | 99 | 72 | 0 | 22 | 3 | 1,850,000$ | ||||
18 | Jake Sanderson | X | 100.00 | 70 | 30 | 82 | 78 | 74 | 77 | 77 | 73 | 63 | 74 | 72 | 77 | 70 | 53 | 79 | 83 | 99 | 71 | 0 | 22 | 4 | 1,750,000$ | ||||
19 | Alexander Alexeyev | X | 100.00 | 82 | 38 | 73 | 81 | 80 | 78 | 80 | 64 | 57 | 65 | 60 | 82 | 63 | 55 | 51 | 68 | 99 | 71 | 0 | 24 | 2 | 2,150,000$ | ||||
20 | Connor Timmins | X | 100.00 | 64 | 23 | 88 | 85 | 76 | 84 | 84 | 66 | 57 | 70 | 62 | 80 | 63 | 58 | 75 | 66 | 99 | 71 | 0 | 25 | 3 | 1,700,000$ | ||||
21 | Colton White | X | 100.00 | 69 | 34 | 80 | 81 | 77 | 85 | 85 | 57 | 54 | 56 | 56 | 81 | 55 | 53 | 58 | 49 | 99 | 69 | 0 | 28 | 3 | 1,750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Joshua Bailey | X | 100.00 | 45 | 12 | 98 | 85 | 75 | 79 | 80 | 66 | 88 | 66 | 63 | 70 | 65 | 99 | 99 | 27 | 99 | 68 | N | 0 | 36 | 3 | 1,499,999$ | |||
2 | Justin Sourdif (R) | X | X | 100.00 | 71 | 31 | 75 | 75 | 73 | 69 | 69 | 82 | 79 | 75 | 73 | 68 | 69 | 47 | 59 | 72 | 99 | 67 | 0 | 22 | 1 | 500,000$ | |||
3 | Jake Virtanen | X | X | 100.00 | 84 | 50 | 73 | 79 | 79 | 82 | 83 | 57 | 50 | 55 | 63 | 82 | 68 | 68 | 70 | 64 | 99 | 67 | 0 | 29 | 2 | 1,300,000$ | |||
4 | Brayden Yager (R) | X | 100.00 | 62 | 32 | 74 | 82 | 70 | 75 | 75 | 75 | 76 | 70 | 70 | 68 | 70 | 42 | 59 | 82 | 99 | 66 | 0 | 19 | 3 | 650,000$ | ||||
5 | Yegor Sokolov | X | X | 100.00 | 82 | 44 | 74 | 73 | 85 | 71 | 74 | 68 | 53 | 62 | 70 | 67 | 71 | 68 | 75 | 56 | 99 | 66 | 0 | 24 | 1 | 600,000$ | |||
6 | Jordan Dumais (R) | X | 100.00 | 64 | 26 | 79 | 78 | 69 | 72 | 72 | 81 | 57 | 76 | 75 | 67 | 72 | 38 | 43 | 64 | 99 | 66 | 0 | 20 | 1 | 925,000$ | ||||
7 | Mikhail Shalagin | X | X | 100.00 | 84 | 48 | 64 | 87 | 77 | 67 | 71 | 72 | 49 | 59 | 74 | 63 | 70 | 55 | 57 | 53 | 99 | 65 | 0 | 24 | 2 | 850,000$ | |||
8 | Pavel Novak (R) | X | X | 100.00 | 73 | 37 | 70 | 82 | 72 | 69 | 71 | 68 | 49 | 62 | 67 | 73 | 65 | 50 | 54 | 70 | 99 | 65 | 0 | 22 | 2 | 715,000$ | |||
9 | Matthew Wood (R) | X | X | 100.00 | 71 | 36 | 70 | 76 | 74 | 66 | 66 | 68 | 76 | 67 | 68 | 69 | 68 | 36 | 38 | 82 | 99 | 64 | 0 | 19 | 3 | 650,000$ | |||
10 | Matias Maccelli (R) | X | 100.00 | 67 | 31 | 76 | 88 | 72 | 72 | 74 | 68 | 52 | 60 | 65 | 66 | 65 | 50 | 42 | 58 | 99 | 64 | 0 | 23 | 1 | 700,000$ | ||||
11 | Red Savage (R) | X | X | 100.00 | 76 | 43 | 65 | 84 | 74 | 72 | 74 | 68 | 78 | 66 | 66 | 66 | 66 | 40 | 48 | 62 | 99 | 64 | 0 | 21 | 3 | 700,000$ | |||
12 | Ludwig Persson (R) | X | X | 100.00 | 72 | 38 | 70 | 75 | 74 | 66 | 66 | 71 | 78 | 69 | 71 | 65 | 70 | 54 | 38 | 65 | 99 | 64 | 0 | 20 | 1 | 500,000$ | |||
13 | Joel Ratkovic Berndtsson (R) | X | X | 100.00 | 66 | 29 | 75 | 78 | 72 | 65 | 65 | 63 | 53 | 63 | 66 | 62 | 69 | 40 | 39 | 58 | 99 | 60 | 0 | 20 | 2 | 500,000$ | |||
14 | William Villeneuve (R) | X | 100.00 | 73 | 29 | 83 | 78 | 75 | 82 | 82 | 77 | 61 | 77 | 73 | 73 | 69 | 52 | 73 | 72 | 99 | 71 | 0 | 22 | 1 | 925,000$ | ||||
15 | Brandt Clarke (R) | X | 100.00 | 71 | 34 | 76 | 77 | 75 | 72 | 72 | 83 | 60 | 79 | 74 | 71 | 71 | 58 | 71 | 86 | 99 | 70 | 0 | 21 | 2 | 650,000$ | ||||
16 | Jeremie Poirier (R) | X | 100.00 | 76 | 40 | 76 | 75 | 75 | 81 | 81 | 81 | 58 | 73 | 72 | 64 | 69 | 50 | 65 | 71 | 99 | 69 | 0 | 22 | 1 | 650,000$ | ||||
17 | Aleksi Heimosalmi (R) | X | 100.00 | 77 | 39 | 68 | 84 | 71 | 72 | 74 | 67 | 50 | 70 | 66 | 74 | 63 | 36 | 44 | 70 | 99 | 67 | 0 | 21 | 3 | 1,050,000$ | ||||
18 | Will Weber | X | 100.00 | 70 | 36 | 79 | 67 | 82 | 70 | 73 | 51 | 54 | 47 | 47 | 76 | 50 | 93 | 99 | 17 | 99 | 66 | 0 | 35 | 1 | 1,499,999$ | ||||
19 | Miguel Tourigny (R) | X | 100.00 | 65 | 31 | 75 | 77 | 68 | 79 | 79 | 74 | 50 | 69 | 70 | 60 | 71 | 50 | 62 | 53 | 99 | 66 | 0 | 22 | 2 | 500,000$ | ||||
20 | Matthew Robertson (R) | X | 100.00 | 66 | 30 | 84 | 74 | 79 | 75 | 78 | 58 | 55 | 61 | 60 | 70 | 64 | 54 | 67 | 67 | 99 | 65 | 0 | 23 | 2 | 700,000$ | ||||
21 | Michael Sauer | X | 100.00 | 12 | 1 | 99 | 87 | 78 | 88 | 84 | 40 | 53 | 43 | 40 | 79 | 48 | 96 | 95 | 39 | 99 | 64 | N | 0 | 37 | 3 | 1,225,000$ | |||
22 | Donovan Sebrango (R) | X | 100.00 | 71 | 35 | 79 | 78 | 75 | 74 | 74 | 58 | 56 | 64 | 64 | 67 | 66 | 50 | 54 | 65 | 99 | 64 | 0 | 22 | 1 | 500,000$ | ||||
23 | Mattias Karlsson | X | 100.00 | 66 | 34 | 81 | 84 | 82 | 62 | 71 | 57 | 59 | 47 | 64 | 60 | 71 | 99 | 99 | 1 | 99 | 63 | 0 | 39 | 1 | 1,499,999$ | ||||
24 | Riley Heidt (R) | X | X | 85.05 | 73 | 31 | 81 | 83 | 75 | 78 | 78 | 81 | 78 | 77 | 72 | 68 | 72 | 45 | 60 | 75 | 99 | 69 | 0 | 19 | 3 | 925,000$ | |||
MOYENNE D’ÉQUIPE | 100.00 | 70 | 34 | 80 | 84 | 77 | 82 | 83 | 79 | 69 | 75 | 75 | 74 | 70 | 68 | 75 | 54 | 99 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kristers Gudlevskis | 100.00 | 84 | 87 | 83 | 81 | 93 | 99 | 99 | 99 | 99 | 82 | 83 | 82 | 82 | 44 | 99 | 75 | 0 | 32 | 1 | 4,400,000$ | |
2 | Matej Tomek | 100.00 | 83 | 87 | 81 | 80 | 91 | 99 | 99 | 99 | 99 | 79 | 82 | 51 | 53 | 54 | 99 | 71 | 0 | 28 | 3 | 2,375,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Sebastien Cossa (R) | 100.00 | 83 | 87 | 84 | 87 | 90 | 93 | 93 | 93 | 91 | 82 | 85 | 39 | 49 | 82 | 99 | 69 | 0 | 21 | 3 | 1,200,000$ | |
2 | Justin Peters | 100.00 | 75 | 73 | 75 | 80 | 83 | 94 | 83 | 84 | 88 | 81 | 76 | 76 | 76 | 46 | 99 | 68 | 0 | 38 | 1 | 1,499,999$ | |
3 | Timo Pielmeier | 100.00 | 79 | 83 | 79 | 80 | 82 | 75 | 75 | 75 | 75 | 72 | 70 | 92 | 95 | 40 | 99 | 66 | N | 0 | 35 | 3 | 1,000,000$ |
MOYENNE D’ÉQUIPE | 100.00 | 84 | 87 | 82 | 81 | 92 | 99 | 99 | 99 | 99 | 81 | 83 | 67 | 68 | 49 | 99 | 73 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jack Capuano | 88 | 92 | 92 | 88 | 99 | 99 | 39 | USA | 55 | 4 | 1,000,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Trevor Zegras | New York Islanders | C/LW/RW | 31 | 8 | 17 | 25 | 1 | 14 | 0 | 34 | 27 | 130 | 50 | 74 | 6.15% | 12 | 456 | 14.73 | 0 | 8 | 8 | 12 | 65 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 51.52% | 33 | 24 | 7 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 |
2 | Sam Steel | New York Islanders | C | 31 | 12 | 13 | 25 | -2 | 26 | 0 | 32 | 33 | 153 | 36 | 71 | 7.84% | 17 | 535 | 17.28 | 4 | 1 | 5 | 11 | 65 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 52.27% | 551 | 29 | 10 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
3 | Evgeni Malkin | New York Islanders | C | 31 | 5 | 18 | 23 | -1 | 14 | 0 | 72 | 38 | 103 | 29 | 67 | 4.85% | 10 | 493 | 15.93 | 0 | 3 | 3 | 5 | 73 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 53.07% | 505 | 17 | 11 | 0 | 0 | 0.93 | 0 | 3 | 0 | 0 | 0 | 2 | 1 | 1 |
4 | Milan Michalek | New York Islanders | LW/RW | 31 | 12 | 9 | 21 | 2 | 2 | 0 | 10 | 32 | 85 | 25 | 57 | 14.12% | 15 | 500 | 16.14 | 1 | 1 | 2 | 7 | 72 | 0 | 0 | 0 | 0 | 22 | 3 | 1 | 44.83% | 29 | 11 | 5 | 0 | 0 | 0.84 | 1 | 3 | 0 | 0 | 0 | 0 | 4 | 0 |
5 | Jesper Boqvist | New York Islanders | C/LW/RW | 31 | 7 | 13 | 20 | 1 | 6 | 0 | 41 | 20 | 49 | 25 | 27 | 14.29% | 9 | 462 | 14.92 | 3 | 3 | 6 | 8 | 66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.43% | 35 | 2 | 9 | 0 | 0 | 0.86 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 |
6 | Oliver Wahlstrom | New York Islanders | RW | 31 | 9 | 8 | 17 | -1 | 0 | 0 | 29 | 42 | 93 | 23 | 66 | 9.68% | 13 | 459 | 14.83 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 42 | 1 | 0 | 41.67% | 24 | 16 | 7 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
7 | Hendrix Lapierre | New York Islanders | C | 31 | 8 | 8 | 16 | -2 | 28 | 0 | 33 | 27 | 87 | 30 | 59 | 9.20% | 11 | 413 | 13.35 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 45.45% | 33 | 14 | 6 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Nikita Filatov | New York Islanders | LW/RW | 24 | 5 | 8 | 13 | 1 | 0 | 0 | 13 | 26 | 82 | 27 | 46 | 6.10% | 13 | 354 | 14.76 | 1 | 1 | 2 | 5 | 54 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 38.71% | 31 | 16 | 1 | 0 | 0 | 0.73 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Yevgeni Svechnikov | New York Islanders | LW/RW | 31 | 6 | 6 | 12 | 4 | 6 | 0 | 36 | 34 | 85 | 17 | 43 | 7.06% | 14 | 479 | 15.47 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 1 | 82 | 0 | 1 | 34.48% | 29 | 15 | 10 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Marko Dano | New York Islanders | C/LW/RW | 31 | 4 | 7 | 11 | 3 | 2 | 0 | 34 | 35 | 34 | 10 | 19 | 11.76% | 12 | 490 | 15.82 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 73 | 0 | 1 | 52.95% | 474 | 13 | 10 | 2 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
11 | Mark McNeill | New York Islanders | C/LW/RW | 31 | 2 | 7 | 9 | -1 | 12 | 0 | 51 | 42 | 33 | 14 | 21 | 6.06% | 9 | 446 | 14.40 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 64 | 0 | 0 | 54.71% | 510 | 3 | 10 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Martin Gernat | New York Islanders | D | 31 | 4 | 5 | 9 | 2 | 0 | 0 | 3 | 14 | 51 | 22 | 26 | 7.84% | 17 | 488 | 15.77 | 2 | 1 | 3 | 8 | 76 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0% | 0 | 23 | 12 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Jake Bean | New York Islanders | D | 31 | 2 | 4 | 6 | 2 | 2 | 0 | 15 | 21 | 37 | 19 | 20 | 5.41% | 33 | 483 | 15.59 | 1 | 1 | 2 | 5 | 77 | 0 | 0 | 0 | 0 | 12 | 1 | 0 | 0% | 0 | 12 | 21 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
14 | Brayden Schenn | New York Islanders | C/LW | 31 | 5 | 1 | 6 | 7 | 2 | 0 | 21 | 12 | 28 | 10 | 16 | 17.86% | 9 | 389 | 12.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 57.58% | 33 | 2 | 4 | 2 | 0 | 0.31 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
15 | Ben Harpur | New York Islanders | D | 31 | 0 | 5 | 5 | 6 | 20 | 0 | 34 | 37 | 21 | 11 | 10 | 0% | 38 | 472 | 15.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 0% | 0 | 2 | 20 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
16 | Jake Sanderson | New York Islanders | D | 26 | 0 | 5 | 5 | 2 | 2 | 0 | 19 | 20 | 22 | 9 | 8 | 0% | 19 | 361 | 13.92 | 0 | 0 | 0 | 2 | 52 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0% | 0 | 4 | 9 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
17 | Tyler Myers | New York Islanders | D | 31 | 0 | 4 | 4 | -9 | 0 | 0 | 9 | 23 | 23 | 4 | 2 | 0% | 32 | 463 | 14.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 59 | 0 | 0 | 0% | 0 | 5 | 14 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Colton White | New York Islanders | D | 31 | 0 | 4 | 4 | -5 | 2 | 0 | 16 | 19 | 16 | 5 | 7 | 0% | 43 | 421 | 13.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 87 | 0 | 0 | 0% | 0 | 2 | 9 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Alexander Alexeyev | New York Islanders | D | 31 | 1 | 3 | 4 | 7 | 18 | 0 | 24 | 14 | 15 | 8 | 8 | 6.67% | 33 | 375 | 12.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 1 | 11 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Lukas Cormier | New York Islanders | D | 31 | 0 | 4 | 4 | -4 | 4 | 0 | 11 | 11 | 11 | 2 | 5 | 0% | 5 | 219 | 7.09 | 0 | 0 | 0 | 1 | 63 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 7 | 10 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Connor Timmins | New York Islanders | D | 31 | 1 | 1 | 2 | 7 | 0 | 0 | 18 | 18 | 11 | 10 | 1 | 9.09% | 42 | 459 | 14.83 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 59 | 0 | 1 | 0% | 0 | 2 | 15 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 639 | 91 | 150 | 241 | 20 | 160 | 0 | 555 | 545 | 1169 | 386 | 653 | 7.78% | 406 | 9229 | 14.44 | 12 | 19 | 31 | 65 | 705 | 0 | 0 | 0 | 8 | 596 | 14 | 10 | 52.47% | 2287 | 220 | 211 | 4 | 0 | 0.52 | 2 | 10 | 0 | 0 | 0 | 10 | 13 | 15 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kristers Gudlevskis | New York Islanders | 18 | 8 | 6 | 3 | 0.926 | 2.74 | 1006 | 4 | 0 | 46 | 622 | 247 | 1 | 2 | 0.700 | 10 | 16 | 15 | 4 | 2 | 0 |
2 | Matej Tomek | New York Islanders | 16 | 7 | 5 | 2 | 0.932 | 2.55 | 872 | 2 | 0 | 37 | 548 | 206 | 2 | 1 | 0 | 0 | 15 | 16 | 4 | 1 | 1 |
Statistiques d’équipe totales ou en moyenne | 34 | 15 | 11 | 5 | 0.929 | 2.65 | 1878 | 6 | 0 | 83 | 1170 | 453 | 3 | 3 | 10 | 31 | 31 | 8 | 3 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev | New York Islanders | D | 24 | 1990-09-04 | No | 214 Lbs | 6 ft7 | No | No | Free Agent | No | No | 2 | 2024-08-23 | Pro Only | 2,150,000$ | 1,294,503$ | 2,150,000$ | 1,294,503$ | No | 2,150,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Ben Harpur | New York Islanders | D | 29 | 1985-10-05 | No | 228 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | Pro Only | 2,100,000$ | 1,264,398$ | 2,100,000$ | 1,264,398$ | No | 2,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Brayden Schenn | New York Islanders | C/LW | 33 | 1981-08-07 | No | 212 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro Only | 500,001$ | 301,048$ | 500,001$ | 301,048$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Colton White | New York Islanders | D | 28 | 1986-10-20 | No | 206 Lbs | 6 ft2 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 1,750,000$ | 1,053,665$ | 1,750,000$ | 1,053,665$ | No | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Connor Timmins | New York Islanders | D | 25 | 1989-09-07 | No | 195 Lbs | 6 ft3 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 1,700,000$ | 1,023,560$ | 1,700,000$ | 1,023,560$ | No | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Evgeni Malkin | New York Islanders | C | 38 | 1976-08-06 | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro Only | 8,250,000$ | 4,967,277$ | 8,250,000$ | 4,967,277$ | No | 8,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Hendrix Lapierre | New York Islanders | C | 22 | 1992-09-19 | Yes | 192 Lbs | 6 ft3 | No | No | Free Agent | No | No | 5 | 2024-08-23 | Pro Only | 1,450,000$ | 873,037$ | 1,450,000$ | 873,037$ | No | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Jake Bean | New York Islanders | D | 26 | 1988-09-26 | No | 199 Lbs | 6 ft2 | No | No | Trade | 2024-03-03 | No | No | 2 | Pro Only | 3,600,000$ | 2,167,539$ | 3,600,000$ | 2,167,539$ | No | 3,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Jake Sanderson | New York Islanders | D | 22 | 1992-08-31 | No | 196 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro Only | 1,750,000$ | 1,053,665$ | 1,750,000$ | 1,053,665$ | No | 1,750,000$ | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Jesper Boqvist | New York Islanders | C/LW/RW | 25 | 1989-09-19 | No | 197 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro Only | 2,900,000$ | 1,746,073$ | 2,900,000$ | 1,746,073$ | No | 2,900,000$ | 2,900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Kristers Gudlevskis | New York Islanders | G | 32 | 1982-10-05 | No | 204 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro Only | 4,400,000$ | 2,649,215$ | 4,400,000$ | 2,649,215$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Lukas Cormier | New York Islanders | D | 22 | 1992-10-04 | Yes | 182 Lbs | 6 ft0 | No | No | Free Agent | 2024-07-10 | No | No | 3 | 2024-08-23 | Pro Only | 1,850,000$ | 1,113,874$ | 1,850,000$ | 1,113,874$ | No | 1,850,000$ | 1,850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
Mark McNeill | New York Islanders | C/LW/RW | 30 | 1985-02-22 | No | 232 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro Only | 2,500,000$ | 1,505,236$ | 2,500,000$ | 1,505,236$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Marko Dano | New York Islanders | C/LW/RW | 29 | 1985-10-14 | No | 238 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro Only | 900,000$ | 541,885$ | 900,000$ | 541,885$ | No | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Martin Gernat | New York Islanders | D | 30 | 1985-04-11 | No | 204 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | Pro Only | 3,400,000$ | 2,047,120$ | 3,400,000$ | 2,047,120$ | No | 3,400,000$ | 3,400,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Matej Tomek | New York Islanders | G | 28 | 1986-10-20 | No | 198 Lbs | 6 ft3 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 2,375,000$ | 1,429,974$ | 2,375,000$ | 1,429,974$ | No | 2,375,000$ | 2,375,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Milan Michalek | New York Islanders | LW/RW | 39 | 1975-08-06 | No | 235 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 6,400,000$ | 3,853,403$ | 6,400,000$ | 3,853,403$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nikita Filatov | New York Islanders | LW/RW | 34 | 1980-08-06 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 6 | Pro Only | 6,800,000$ | 4,094,241$ | 6,800,000$ | 4,094,241$ | No | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | |||
Oliver Wahlstrom | New York Islanders | RW | 24 | 1990-09-04 | No | 223 Lbs | 6 ft1 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 1,500,000$ | 903,141$ | 1,500,000$ | 903,141$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Sam Steel | New York Islanders | C | 26 | 1988-09-19 | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 2,600,000$ | 1,565,445$ | 2,600,000$ | 1,565,445$ | No | 2,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Trevor Zegras | New York Islanders | C/LW/RW | 23 | 1991-10-04 | No | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 2,100,000$ | 1,264,398$ | 2,100,000$ | 1,264,398$ | No | 2,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tyler Myers (contrat à 1 volet) | New York Islanders | D | 34 | 1980-08-06 | No | 229 Lbs | 6 ft6 | Yes | No | Trade | 2024-03-16 | No | No | 6 | 2024-08-23 | Pro Only | 2,200,000$ | 1,324,607$ | 2,200,000$ | 1,324,607$ | No | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | - | - | - | - | Yes | Yes | Yes | Yes | Yes | - | - | - | - | |
Yevgeni Svechnikov | New York Islanders | LW/RW | 28 | 1986-10-20 | No | 212 Lbs | 6 ft4 | No | No | Free Agent | 2024-03-03 | No | No | 3 | 2024-08-23 | Pro Only | 2,500,000$ | 1,505,236$ | 2,500,000$ | 1,505,236$ | No | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 28.30 | 207 Lbs | 6 ft3 | 2.74 | 2,855,435$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
65,675,001$ | 51,875,000$ | 30,175,000$ | 12,200,000$ | 10,450,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nikita Filatov | Mark McNeill | Yevgeni Svechnikov | 25 | 1 | 3 | 1 |
2 | Jesper Boqvist | Evgeni Malkin | Milan Michalek | 25 | 1 | 2 | 2 |
3 | Trevor Zegras | Sam Steel | Brayden Schenn | 25 | 1 | 2 | 2 |
4 | Hendrix Lapierre | Marko Dano | Oliver Wahlstrom | 25 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jake Bean | Connor Timmins | 25 | 1 | 3 | 1 | |
2 | Jake Sanderson | Alexander Alexeyev | 25 | 1 | 3 | 1 | |
3 | Martin Gernat | Ben Harpur | 25 | 1 | 3 | 1 | |
4 | Tyler Myers | Colton White | 25 | 1 | 3 | 1 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nikita Filatov | Evgeni Malkin | Milan Michalek | 50 | 1 | 0 | 4 |
2 | Trevor Zegras | Sam Steel | Jesper Boqvist | 50 | 1 | 0 | 4 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jake Bean | Martin Gernat | 51 | 1 | 0 | 4 | |
2 | Lukas Cormier | Jake Sanderson | 49 | 1 | 0 | 4 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Mark McNeill | Yevgeni Svechnikov | 50 | 1 | 4 | 0 |
2 | Marko Dano | Yevgeni Svechnikov | 50 | 1 | 4 | 0 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colton White | Ben Harpur | 55 | 1 | 4 | 0 |
2 | Tyler Myers | Connor Timmins | 45 | 1 | 4 | 0 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Mark McNeill | 50 | 1 | 4 | 0 | Ben Harpur | Colton White | 50 | 1 | 4 | 0 |
2 | Marko Dano | 50 | 1 | 4 | 0 | Tyler Myers | Alexander Alexeyev | 50 | 1 | 4 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Evgeni Malkin | Nikita Filatov | 50 | 1 | 1 | 3 |
2 | Sam Steel | Jesper Boqvist | 50 | 1 | 1 | 3 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Martin Gernat | Jake Sanderson | 50 | 1 | 2 | 2 |
2 | Jake Bean | Connor Timmins | 50 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nikita Filatov | Evgeni Malkin | Milan Michalek | Martin Gernat | Jake Bean |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Brayden Schenn | Marko Dano | Yevgeni Svechnikov | Alexander Alexeyev | Connor Timmins |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Sam Steel, Hendrix Lapierre, Oliver Wahlstrom | Oliver Wahlstrom, Hendrix Lapierre | Oliver Wahlstrom |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Lukas Cormier, Tyler Myers, Ben Harpur | Connor Timmins | Jake Bean, Lukas Cormier |
Tirs de pénalité |
---|
Evgeni Malkin, Milan Michalek, Nikita Filatov, Jesper Boqvist, Brayden Schenn |
Gardien |
---|
#1 : Matej Tomek, #2 : Kristers Gudlevskis |
Lignes d’attaque personnalisées en prolongation |
---|
Evgeni Malkin, Nikita Filatov, Milan Michalek, Jesper Boqvist, Trevor Zegras, Sam Steel, Sam Steel, Mark McNeill , Yevgeni Svechnikov, Oliver Wahlstrom, Hendrix Lapierre |
Lignes de défense personnalisées en prolongation |
---|
Martin Gernat, Lukas Cormier, Jake Bean, Jake Sanderson, Tyler Myers |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Anaheim Ducks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 1 | 1 | 0 | 37 | 12 | 8 | 17 | 0 | 38 | 10 | 6 | 21 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 22 | 14 | 20 | 8 | 17 | 8 |
2 | Boston Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 3 | 0 | 74 | 21 | 28 | 25 | 0 | 70 | 22 | 12 | 27 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 43 | 25 | 42 | 17 | 34 | 16 |
3 | Buffalo Sabres | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 6 | 3 | 1 | 0 | 80 | 36 | 23 | 21 | 0 | 78 | 27 | 12 | 37 | 6 | 3 | 50.00% | 6 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 49 | 31 | 39 | 16 | 31 | 14 |
4 | Calgary Flames | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 39 | 14 | 13 | 12 | 0 | 39 | 15 | 2 | 22 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 23 | 14 | 19 | 7 | 17 | 9 |
5 | Carolina Hurricanes | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 71 | 24 | 21 | 26 | 0 | 66 | 21 | 14 | 36 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 47 | 29 | 39 | 17 | 33 | 17 |
6 | Chicago Blackhawks | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 1 | 2 | 1 | 78 | 36 | 20 | 20 | 2 | 83 | 25 | 16 | 42 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 45 | 26 | 42 | 17 | 35 | 17 |
7 | Colorado Avalanche | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 75 | 25 | 27 | 23 | 0 | 73 | 33 | 16 | 34 | 1 | 1 | 100.00% | 8 | 2 | 75.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 43 | 26 | 43 | 18 | 33 | 15 |
8 | Edmonton Oilers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 1 | 42 | 11 | 15 | 12 | 4 | 44 | 14 | 8 | 15 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 23 | 14 | 22 | 9 | 18 | 7 |
9 | Florida Panthers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 14 | 5 | 14 | 0 | 38 | 16 | 4 | 12 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 19 | 11 | 25 | 9 | 15 | 7 |
10 | Los Angeles Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 33 | 9 | 12 | 12 | 0 | 34 | 16 | 6 | 20 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 22 | 14 | 20 | 8 | 16 | 7 |
11 | Minnesota Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 38 | 15 | 6 | 17 | 0 | 38 | 18 | 6 | 20 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 21 | 12 | 21 | 8 | 16 | 8 |
12 | New York Rangers | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 2 | 1 | 37 | 10 | 11 | 15 | 3 | 35 | 16 | 6 | 22 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 24 | 15 | 21 | 9 | 18 | 9 |
13 | Ottawa Senators | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 1 | 45 | 18 | 11 | 15 | 6 | 49 | 16 | 4 | 17 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 22 | 12 | 24 | 9 | 18 | 8 |
14 | Philadelphia Flyers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 0 | 72 | 28 | 21 | 23 | 0 | 70 | 28 | 10 | 37 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 43 | 26 | 43 | 17 | 33 | 16 |
15 | Pittsburgh Penguins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 75 | 26 | 30 | 16 | 3 | 77 | 35 | 6 | 47 | 7 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 44 | 25 | 42 | 17 | 34 | 18 |
16 | San Jose Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 13 | 11 | 14 | 0 | 39 | 9 | 6 | 15 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 22 | 13 | 21 | 9 | 16 | 7 |
17 | St-Louis Blues | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 0 | 3 | 2 | 1 | 72 | 25 | 27 | 19 | 1 | 84 | 27 | 4 | 34 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 39 | 24 | 47 | 18 | 33 | 16 |
18 | Toronto Maple Leafs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 5 | 0 | 1 | 0 | 34 | 16 | 12 | 6 | 0 | 33 | 6 | 2 | 17 | 6 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 22 | 13 | 19 | 8 | 17 | 9 |
19 | Vancouver Canucks | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 5 | 1 | 2 | 0 | 86 | 35 | 27 | 22 | 5 | 71 | 16 | 4 | 31 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 47 | 30 | 41 | 16 | 35 | 17 |
20 | Washington Capitals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 33 | 11 | 8 | 14 | 0 | 45 | 14 | 4 | 13 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 18 | 11 | 23 | 8 | 17 | 7 |
21 | Winnipeg Jets | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 77 | 30 | 25 | 22 | 0 | 69 | 22 | 18 | 36 | 6 | 2 | 33.33% | 9 | 0 | 100.00% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 42 | 24 | 41 | 18 | 37 | 17 |
Total | 31 | 11 | 11 | 0 | 3 | 3 | 1 | 2 | 92 | 88 | 4 | 14 | 8 | 2 | 0 | 1 | 2 | 1 | 0 | 49 | 32 | 17 | 17 | 3 | 9 | 0 | 2 | 1 | 0 | 2 | 43 | 56 | -13 | 35 | 0.565 | 92 | 150 | 242 | 3 | 0 | 35 | 27 | 26 | 5 | 1169 | 429 | 361 | 365 | 24 | 1173 | 406 | 166 | 555 | 78 | 12 | 15.38% | 82 | 11 | 86.59% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 689 | 419 | 665 | 273 | 531 | 260 | |
_Since Last GM Reset | 31 | 11 | 11 | 0 | 3 | 3 | 1 | 2 | 92 | 88 | 4 | 14 | 8 | 2 | 0 | 1 | 2 | 1 | 0 | 49 | 32 | 17 | 17 | 3 | 9 | 0 | 2 | 1 | 0 | 2 | 43 | 56 | -13 | 35 | 0.565 | 92 | 150 | 242 | 3 | 0 | 35 | 27 | 26 | 5 | 1169 | 429 | 361 | 365 | 24 | 1173 | 406 | 166 | 555 | 78 | 12 | 15.38% | 82 | 11 | 86.59% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 689 | 419 | 665 | 273 | 531 | 260 | |
_Vs Conference | 31 | 11 | 11 | 0 | 3 | 3 | 1 | 2 | 92 | 88 | 4 | 14 | 8 | 2 | 0 | 1 | 2 | 1 | 0 | 49 | 32 | 17 | 17 | 3 | 9 | 0 | 2 | 1 | 0 | 2 | 43 | 56 | -13 | 35 | 0.565 | 92 | 150 | 242 | 3 | 0 | 35 | 27 | 26 | 5 | 1169 | 429 | 361 | 365 | 24 | 1173 | 406 | 166 | 555 | 78 | 12 | 15.38% | 82 | 11 | 86.59% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 689 | 419 | 665 | 273 | 531 | 260 | |
_Vs Division | 15 | 7 | 5 | 0 | 0 | 1 | 1 | 1 | 46 | 37 | 9 | 7 | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 29 | 16 | 13 | 8 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 17 | 21 | -4 | 18 | 0.600 | 46 | 80 | 126 | 2 | 0 | 21 | 12 | 12 | 2 | 554 | 204 | 170 | 175 | 12 | 561 | 201 | 74 | 265 | 44 | 6 | 13.64% | 36 | 5 | 86.11% | 0 | 500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% | 334 | 203 | 322 | 132 | 254 | 126 |
Total pour les joueurs | ||||||||||||
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Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
31 | 35 | L1 | 92 | 150 | 242 | 1169 | 1173 | 406 | 166 | 555 | 3 | 0 |
Tous les matchs | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
31 | 11 | 11 | 3 | 3 | 1 | 2 | 92 | 88 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 8 | 2 | 1 | 2 | 1 | 0 | 49 | 32 |
Matchs extérieurs | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
17 | 3 | 9 | 2 | 1 | 0 | 2 | 43 | 56 |
Derniers 10 matchs | |||||
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W | L | OTW | OTL | SOW | SOL |
3 | 6 | 0 | 1 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
78 | 12 | 15.38% | 82 | 11 | 86.59% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
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429 | 361 | 365 | 24 | 35 | 27 | 26 | 5 |
Mises en jeu | ||||||||
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Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
500 | 909 | 55.01% | 474 | 892 | 53.14% | 226 | 453 | 49.89% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
689 | 419 | 665 | 273 | 531 | 260 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
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Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 5000 | 5000 | 5000 | 4000 | 1000 |
Prix des billets | 62 | 37 | 25 | 22 | 155 |
Assistance | 68,289 | 67,515 | 67,639 | 53,736 | 13,093 |
Attendance PCT | 97.56% | 96.45% | 96.63% | 95.96% | 93.52% |
Revenu | |||||
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Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
27 | 19305 - 96.53% | 1,217,413$ | 17,043,779$ | 20000 | 90 |
Dépenses | ||||
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Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
26,384,561$ | 65,675,001$ | 65,675,001$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
65,675,001$ | 25,986,641$ | 0$ | 23 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
32,870,145$ | 115 | 349,084$ | 40,144,660$ |
Total de l’équipe estimé | ||
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Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
43,063,590$ | 87,865,026$ | 87,513,563$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
65,675,001$ | 19,324,999$ | 85,000,000$ | 10,675,001$ |
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
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Année | R1 | R2 | R3 | |
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2025 | NYI | BOS NYI | ||
2026 | NYI | NYI NYR | NYI | |
2027 | NYI | NYI | NYI | |
2028 | NYI | NYI | NYI | |
2029 | NYI | NYI | NYI | |
Choix au repêchage conditionnel |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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