New York Islanders | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Stephane Dion | Morale : 99 | Moyenne d’équipe : 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 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 | 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$ | ||
7 | 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$ | ||
8 | 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$ | |||
9 | 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$ | ||||
10 | 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$ | ||||
11 | 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$ | ||||
12 | 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$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | 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$ | |||
2 | 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$ | ||||
3 | 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$ | ||
4 | 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$ | ||||
5 | Tyler Myers | 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$ | |||
6 | 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$ | ||||
7 | 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$ | ||||
8 | 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$ | ||||
9 | 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$ | ||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | 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$ | |||
2 | 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$ | |||
3 | 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$ | |||
4 | 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$ | ||||
5 | 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$ | |||
6 | 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$ | |||
7 | 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$ | |||
8 | 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$ | ||||
9 | 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$ | ||||
10 | 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$ | ||||
11 | 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$ | ||||
12 | 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$ | ||||
13 | 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$ | ||||
14 | 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$ | ||||
15 | Nicolas Mattinen | X | 100.00 | 71 | 36 | 80 | 69 | 85 | 77 | 79 | 52 | 54 | 50 | 53 | 70 | 55 | 50 | 54 | 42 | 99 | 63 | 0 | 26 | 2 | 700,000$ | ||||
16 | Riley Heidt (R) | X | X | 100.00 | 73 | 31 | 81 | 83 | 75 | 78 | 78 | 81 | 78 | 77 | 72 | 68 | 72 | 45 | 60 | 75 | 99 | 69 | 0 | 19 | 3 | 925,000$ | |||
17 | 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$ | ||||
18 | 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$ | |||
19 | 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$ | ||||
20 | 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$ | |||
21 | 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$ | |||
22 | Ethan Del Mastro (R) | X | 100.00 | 76 | 40 | 75 | 77 | 79 | 79 | 79 | 76 | 54 | 75 | 67 | 65 | 66 | 56 | 67 | 66 | 99 | 68 | 0 | 21 | 3 | 950,000$ | ||||
23 | 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$ | ||||
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$ | |
Rayé | |||||||||||||||||||||||
1 | 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$ | |
2 | 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$ |
Équipe Mineure | |||||||||||||||||||||||
1 | 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$ | |
2 | 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$ | |
MOYENNE D’ÉQUIPE | 100.00 | 82 | 86 | 81 | 80 | 89 | 91 | 91 | 91 | 91 | 78 | 78 | 75 | 77 | 46 | 99 | 71 |
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 |
---|
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 |
---|
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 18:52:07 | No | 214 Lbs | 6 ft7 | No | No | Free Agent | No | No | 2 | 2024-08-23 | Pro Only | 2,150,000$ | 2,150,000$ | 2,150,000$ | 2,150,000$ | No | 2,150,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Ben Harpur | New York Islanders | D | 29 | 1985-10-05 15:01:49 | No | 228 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | Pro Only | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | 2,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Brayden Schenn | New York Islanders | C/LW | 33 | 1981-08-07 02:38:02 | No | 212 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro Only | 500,001$ | 500,001$ | 500,001$ | 500,001$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Colton White | New York Islanders | D | 28 | 1986-10-20 09:32:13 | No | 206 Lbs | 6 ft2 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | No | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Connor Timmins | New York Islanders | D | 25 | 1989-09-07 20:46:12 | No | 195 Lbs | 6 ft3 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Evgeni Malkin | New York Islanders | C | 38 | 1976-08-06 20:38:02 | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro Only | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | No | 8,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Hendrix Lapierre | New York Islanders | C | 22 | 1992-09-19 18:57:23 | Yes | 192 Lbs | 6 ft3 | No | No | Free Agent | No | No | 5 | 2024-08-23 | Pro Only | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | 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 15:27:16 | No | 199 Lbs | 6 ft2 | No | No | Trade | 2024-03-03 | No | No | 2 | Pro Only | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | No | 3,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Jake Sanderson | New York Islanders | D | 22 | 1992-08-31 22:01:47 | No | 196 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro Only | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 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 14:33:13 | No | 197 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro Only | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | No | 2,900,000$ | 2,900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Kristers Gudlevskis | New York Islanders | G | 32 | 1982-10-05 15:33:41 | No | 204 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro Only | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Lukas Cormier | New York Islanders | D | 22 | 1992-10-04 11:31:30 | Yes | 182 Lbs | 6 ft0 | No | No | Free Agent | 2024-07-10 | No | No | 3 | 2024-08-23 | Pro Only | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | No | 1,850,000$ | 1,850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
Mark McNeill | New York Islanders | C/LW/RW | 30 | 1985-02-22 13:32:19 | No | 232 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro Only | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Marko Dano | New York Islanders | C/LW/RW | 29 | 1985-10-14 11:02:01 | No | 238 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro Only | 900,000$ | 900,000$ | 900,000$ | 900,000$ | No | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Martin Gernat | New York Islanders | D | 30 | 1985-04-11 06:08:28 | No | 204 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | Pro Only | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | No | 3,400,000$ | 3,400,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Matej Tomek | New York Islanders | G | 28 | 1986-10-20 09:33:38 | No | 198 Lbs | 6 ft3 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 2,375,000$ | 2,375,000$ | 2,375,000$ | 2,375,000$ | No | 2,375,000$ | 2,375,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Milan Michalek | New York Islanders | LW/RW | 39 | 1975-08-06 14:38:02 | No | 235 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nikita Filatov | New York Islanders | LW/RW | 34 | 1980-08-06 20:38:02 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 6 | Pro Only | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | 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 17:58:09 | No | 223 Lbs | 6 ft1 | No | No | Free Agent | No | No | 3 | 2024-08-23 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Sam Steel | New York Islanders | C | 26 | 1988-09-19 10:09:24 | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | No | 2,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Timo Pielmeier | New York Islanders | G | 35 | 1979-09-04 17:30:18 | No | 184 Lbs | 6 ft0 | Yes | No | Free Agent | No | No | 3 | 2024-09-02 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | ||
Trevor Zegras | New York Islanders | C/LW/RW | 23 | 1991-10-04 05:55:21 | No | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | 2,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tyler Myers (contrat à 1 volet) | New York Islanders | D | 34 | 1980-08-06 20:38:02 | No | 229 Lbs | 6 ft6 | Yes | No | Trade | 2024-03-16 | No | No | 6 | 2024-08-23 | Pro Only | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 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 09:25:55 | No | 212 Lbs | 6 ft4 | No | No | Free Agent | 2024-03-03 | No | No | 3 | 2024-08-23 | Pro Only | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | No | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
24 | 28.58 | 206 Lbs | 6 ft3 | 2.75 | 2,778,125$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
66,675,001$ | 52,875,000$ | 31,175,000$ | 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 | 25 | 1 | 2 | 2 | |
2 | Trevor Zegras | 25 | 1 | 2 | 2 | ||
3 | Jesper Boqvist | Sam Steel | Brayden Schenn | 25 | 1 | 2 | 2 |
4 | Evgeni Malkin | Milan Michalek | 25 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jake Sanderson | 25 | 1 | 3 | 1 | ||
2 | Jake Bean | 25 | 1 | 3 | 1 | ||
3 | Martin Gernat | Ben Harpur | 25 | 1 | 3 | 1 | |
4 | 25 | 1 | 3 | 1 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nikita Filatov | Jesper Boqvist | Milan Michalek | 50 | 1 | 0 | 4 |
2 | Trevor Zegras | Evgeni Malkin | 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 | Sam Steel | Jake Sanderson | 49 | 1 | 0 | 4 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Mark McNeill | 50 | 1 | 4 | 0 | |
2 | 50 | 1 | 4 | 0 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 4 | 0 | ||
2 | Ben Harpur | 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 | 50 | 1 | 4 | 0 | ||
2 | 50 | 1 | 4 | 0 | Ben Harpur | 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 | Jesper Boqvist | Trevor Zegras | 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 | 50 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nikita Filatov | Evgeni Malkin | Milan Michalek | Martin Gernat | Jake Sanderson |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Mark McNeill | Jake Bean |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Brayden Schenn, Mark McNeill , Sam Steel | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jake Bean, , Ben Harpur | , Jake Sanderson |
Tirs de pénalité |
---|
Evgeni Malkin, Milan Michalek, Nikita Filatov, Jesper Boqvist, Brayden Schenn |
Gardien |
---|
#1 : , #2 : Kristers Gudlevskis |
Lignes d’attaque personnalisées en prolongation |
---|
Evgeni Malkin, Nikita Filatov, , Milan Michalek, Trevor Zegras, , , Mark McNeill , , Jesper Boqvist, Sam Steel |
Lignes de défense personnalisées en prolongation |
---|
Martin Gernat, , Jake Bean, Jake Sanderson, |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
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 |
0 | 0 | 0 | 0 | 0 | 0 |
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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 5000 | 5000 | 5000 | 4000 | 1000 |
Prix des billets | 59 | 34 | 21 | 20 | 145 |
Assistance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0% | 0$ | 0$ | 20000 | 90 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 66,675,001$ | 65,925,001$ | 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 |
---|---|---|---|---|
0$ | 0$ | 0$ | 24 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 69,043,065$ | 69,043,065$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 85,000,000$ | 85,000,000$ | -55,000,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
---|
Année | R1 | R2 | R3 | |
---|---|---|---|---|
2025 | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|