Pittsburgh Penguins | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Martin Coulombe | Morale : 99 | Moyenne d’équipe : 72 #4 vs St-Louis Blues |
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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 | Jori Lehtera (A) | X | X | 100.00 | 80 | 48 | 72 | 85 | 76 | 83 | 83 | 94 | 86 | 92 | 85 | 65 | 68 | 97 | 97 | 22 | 99 | 78 | 0 | 34 | 4 | 4,500,000$ | |||
2 | Mark Stone (C) | X | 100.00 | 49 | 11 | 97 | 88 | 76 | 82 | 82 | 90 | 52 | 82 | 83 | 61 | 71 | 90 | 98 | 29 | 99 | 75 | 0 | 30 | 1 | 3,750,000$ | ||||
3 | Zach Stepan | X | 100.00 | 86 | 43 | 72 | 88 | 71 | 81 | 82 | 89 | 86 | 85 | 81 | 72 | 71 | 61 | 70 | 45 | 99 | 75 | 0 | 29 | 2 | 3,700,000$ | ||||
4 | Michael Dal Colle | X | X | 100.00 | 79 | 39 | 75 | 85 | 76 | 82 | 82 | 78 | 88 | 76 | 78 | 69 | 71 | 64 | 71 | 62 | 99 | 72 | 0 | 27 | 1 | 2,000,000$ | |||
5 | Aleksi Heponiemi | X | 100.00 | 79 | 36 | 73 | 86 | 69 | 77 | 80 | 89 | 86 | 81 | 79 | 72 | 71 | 48 | 49 | 62 | 99 | 72 | 0 | 24 | 2 | 2,600,000$ | ||||
6 | Jan Drozg | X | X | 100.00 | 77 | 36 | 76 | 87 | 74 | 78 | 80 | 86 | 54 | 79 | 81 | 67 | 73 | 55 | 59 | 53 | 99 | 72 | 0 | 24 | 2 | 2,200,000$ | |||
7 | Andre Burakovsky | X | X | X | 100.00 | 53 | 13 | 97 | 85 | 77 | 85 | 82 | 83 | 87 | 74 | 75 | 69 | 73 | 63 | 80 | 58 | 99 | 71 | 0 | 28 | 3 | 1,100,000$ | ||
8 | Timo Meier | X | X | X | 100.00 | 84 | 46 | 72 | 78 | 82 | 81 | 82 | 76 | 86 | 71 | 74 | 72 | 71 | 80 | 76 | 74 | 99 | 71 | 0 | 26 | 2 | 1,900,000$ | ||
9 | Evander Kane | X | 100.00 | 79 | 36 | 77 | 87 | 70 | 85 | 84 | 71 | 61 | 63 | 73 | 71 | 80 | 84 | 90 | 39 | 99 | 71 | N | 0 | 32 | 3 | 3,550,000$ | |||
10 | Phillip Danault | X | X | 100.00 | 81 | 45 | 76 | 86 | 72 | 83 | 83 | 73 | 88 | 71 | 67 | 71 | 63 | 86 | 85 | 57 | 99 | 71 | 0 | 30 | 1 | 1,000,000$ | |||
11 | Brett Connolly | X | X | 100.00 | 52 | 13 | 91 | 88 | 75 | 83 | 83 | 65 | 55 | 64 | 69 | 86 | 68 | 76 | 78 | 46 | 99 | 70 | N | 0 | 31 | 8 | 2,800,000$ | ||
12 | Mathieu Joseph | X | X | 100.00 | 80 | 39 | 74 | 83 | 72 | 79 | 80 | 73 | 54 | 70 | 73 | 72 | 71 | 70 | 74 | 59 | 99 | 69 | 0 | 26 | 5 | 1,500,000$ | |||
13 | Michael Del Zotto | X | 100.00 | 49 | 15 | 96 | 85 | 76 | 86 | 85 | 99 | 62 | 93 | 91 | 74 | 74 | 80 | 91 | 42 | 99 | 78 | 0 | 33 | 6 | 5,200,000$ | ||||
14 | Ryan Merkley | X | 100.00 | 77 | 34 | 76 | 77 | 71 | 81 | 82 | 89 | 57 | 83 | 79 | 71 | 71 | 56 | 74 | 73 | 99 | 73 | 0 | 23 | 3 | 2,000,000$ | ||||
15 | Callan Foote | X | 100.00 | 86 | 47 | 75 | 70 | 82 | 82 | 82 | 75 | 57 | 77 | 71 | 74 | 67 | 62 | 71 | 75 | 99 | 72 | 0 | 24 | 4 | 1,700,000$ | ||||
16 | Tommy Vannelli | X | 100.00 | 65 | 28 | 79 | 83 | 75 | 82 | 82 | 75 | 54 | 79 | 77 | 71 | 68 | 60 | 63 | 49 | 99 | 71 | 0 | 28 | 3 | 2,100,000$ | ||||
17 | Jared Cowen (A) | X | 100.00 | 48 | 9 | 99 | 87 | 84 | 83 | 83 | 47 | 56 | 46 | 53 | 84 | 64 | 89 | 99 | 38 | 99 | 70 | 0 | 32 | 7 | 3,800,000$ | ||||
18 | Nathan McIver | X | 100.00 | 99 | 99 | 31 | 84 | 79 | 68 | 68 | 42 | 56 | 40 | 50 | 78 | 60 | 99 | 99 | 22 | 99 | 70 | 0 | 38 | 1 | 500,001$ | ||||
19 | Pierre-Olivier Joseph | X | 100.00 | 83 | 39 | 70 | 80 | 71 | 81 | 81 | 66 | 57 | 68 | 64 | 75 | 67 | 56 | 61 | 74 | 99 | 70 | 0 | 24 | 2 | 1,500,000$ | ||||
20 | Ian White | X | 100.00 | 29 | 13 | 98 | 83 | 73 | 87 | 81 | 67 | 76 | 66 | 64 | 79 | 69 | 99 | 99 | 9 | 99 | 69 | 0 | 39 | 1 | 2,950,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Joni Ikonen | X | X | 100.00 | 76 | 35 | 78 | 87 | 75 | 78 | 80 | 74 | 86 | 64 | 74 | 69 | 73 | 56 | 60 | 63 | 99 | 69 | 0 | 24 | 1 | 1,250,000$ | |||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Quinton Byfield (R) | X | 100.00 | 81 | 43 | 74 | 70 | 82 | 69 | 72 | 85 | 79 | 75 | 77 | 75 | 73 | 55 | 66 | 91 | 99 | 70 | 0 | 21 | 1 | 925,000$ | ||||
2 | Linus Omark | X | 100.00 | 35 | 1 | 98 | 89 | 68 | 80 | 77 | 76 | 55 | 69 | 77 | 53 | 67 | 99 | 99 | 7 | 99 | 68 | 0 | 37 | 2 | 500,001$ | ||||
3 | Arthur Kaliyev (R) | X | X | 100.00 | 76 | 39 | 75 | 76 | 78 | 76 | 78 | 75 | 54 | 65 | 75 | 70 | 73 | 44 | 50 | 68 | 99 | 67 | 0 | 22 | 2 | 950,000$ | |||
4 | Raphael Lavoie (R) | X | X | 100.00 | 74 | 37 | 75 | 67 | 77 | 72 | 72 | 79 | 77 | 71 | 71 | 66 | 70 | 51 | 63 | 71 | 99 | 66 | 0 | 22 | 2 | 650,000$ | |||
5 | Veeti Miettinen (R) | X | 100.00 | 78 | 35 | 69 | 82 | 68 | 68 | 72 | 77 | 54 | 67 | 75 | 67 | 71 | 58 | 56 | 58 | 99 | 66 | 0 | 21 | 5 | 1,250,000$ | ||||
6 | Kent Johnson (R) | X | 100.00 | 70 | 34 | 73 | 78 | 71 | 69 | 74 | 73 | 77 | 71 | 69 | 72 | 66 | 30 | 33 | 83 | 99 | 65 | 0 | 20 | 1 | 650,000$ | ||||
7 | German Rubtsov | X | 100.00 | 76 | 43 | 63 | 68 | 74 | 66 | 68 | 62 | 77 | 60 | 60 | 74 | 60 | 74 | 75 | 70 | 99 | 64 | 0 | 25 | 3 | 800,000$ | ||||
8 | Ryan Kesler | X | 100.00 | 74 | 54 | 84 | 84 | 75 | 80 | 79 | 47 | 87 | 44 | 46 | 74 | 66 | 99 | 99 | 12 | 99 | 63 | 0 | 39 | 1 | 1,499,999$ | ||||
9 | Lawson Crouse (R) | X | 100.00 | 90 | 49 | 73 | 77 | 80 | 80 | 81 | 50 | 53 | 49 | 57 | 75 | 68 | 61 | 67 | 63 | 99 | 63 | 0 | 27 | 1 | 800,000$ | ||||
10 | Tristen Robins (R) | X | 100.00 | 68 | 32 | 76 | 67 | 72 | 67 | 67 | 75 | 59 | 69 | 70 | 67 | 70 | 45 | 52 | 73 | 99 | 63 | 0 | 21 | 2 | 650,000$ | ||||
11 | Brandon Coe (R) | X | 100.00 | 70 | 36 | 74 | 69 | 74 | 65 | 65 | 70 | 54 | 70 | 69 | 62 | 69 | 49 | 58 | 64 | 99 | 63 | 0 | 21 | 3 | 500,000$ | ||||
12 | Nolan Foote (R) | X | 100.00 | 73 | 39 | 71 | 68 | 80 | 65 | 68 | 62 | 50 | 55 | 61 | 71 | 63 | 51 | 59 | 76 | 99 | 62 | 0 | 22 | 3 | 700,000$ | ||||
13 | Bowen Byram (R) | X | 100.00 | 78 | 39 | 73 | 72 | 74 | 72 | 77 | 74 | 53 | 74 | 74 | 74 | 71 | 60 | 73 | 83 | 99 | 69 | 0 | 22 | 1 | 925,000$ | ||||
14 | Jesse Blacker | X | 100.00 | 37 | 7 | 99 | 87 | 75 | 85 | 82 | 58 | 50 | 57 | 62 | 77 | 62 | 83 | 94 | 23 | 99 | 68 | 0 | 32 | 2 | 1,499,999$ | ||||
15 | Jordan Spence (R) | X | 100.00 | 69 | 34 | 78 | 69 | 72 | 77 | 77 | 78 | 54 | 74 | 67 | 65 | 67 | 56 | 78 | 64 | 99 | 67 | 0 | 22 | 3 | 650,000$ | ||||
16 | Gianni Fairbrother (R) | X | 100.00 | 70 | 37 | 75 | 67 | 73 | 71 | 74 | 68 | 50 | 70 | 62 | 72 | 60 | 56 | 65 | 59 | 99 | 66 | 0 | 23 | 1 | 500,000$ | ||||
17 | Evan Nause (R) | X | 100.00 | 72 | 34 | 74 | 69 | 72 | 70 | 70 | 68 | 58 | 71 | 66 | 69 | 66 | 75 | 86 | 26 | 99 | 66 | 0 | 20 | 3 | 650,000$ | ||||
18 | Kasper Kotkansalo (R) | X | 100.00 | 76 | 38 | 77 | 70 | 78 | 80 | 80 | 48 | 54 | 44 | 44 | 76 | 50 | 52 | 57 | 61 | 99 | 65 | 0 | 24 | 2 | 700,000$ | ||||
19 | Philip Samuelsson | X | 100.00 | 46 | 10 | 99 | 86 | 78 | 83 | 82 | 45 | 56 | 41 | 36 | 68 | 50 | 83 | 93 | 33 | 99 | 64 | N | 0 | 32 | 1 | 550,000$ | |||
20 | Roman Polak | X | 100.00 | 27 | 7 | 98 | 87 | 76 | 74 | 70 | 35 | 56 | 32 | 36 | 78 | 50 | 99 | 99 | 32 | 99 | 63 | N | 0 | 37 | 3 | 1,499,999$ | |||
21 | Linus Lindstrom (R) | X | 96.41 | 81 | 45 | 69 | 87 | 73 | 79 | 79 | 74 | 87 | 69 | 69 | 66 | 65 | 67 | 62 | 56 | 99 | 68 | 0 | 25 | 2 | 800,000$ | ||||
22 | Benjamin King (R) | X | X | 99.29 | 73 | 38 | 72 | 69 | 76 | 65 | 65 | 75 | 73 | 70 | 71 | 64 | 71 | 49 | 63 | 64 | 99 | 64 | 0 | 21 | 3 | 650,000$ | |||
23 | Aaron Ness | X | 100.00 | 58 | 23 | 84 | 77 | 72 | 78 | 79 | 60 | 55 | 57 | 52 | 68 | 50 | 91 | 98 | 36 | 99 | 66 | N | 0 | 33 | 1 | 550,000$ | |||
24 | Ian McCoshen | X | 100.00 | 64 | 31 | 86 | 87 | 79 | 81 | 83 | 51 | 56 | 45 | 51 | 70 | 60 | 63 | 63 | 50 | 99 | 66 | 0 | 28 | 3 | 700,000$ | ||||
25 | Ben Meehan (R) | X | 100.00 | 71 | 34 | 72 | 70 | 71 | 70 | 70 | 65 | 54 | 67 | 69 | 65 | 68 | 47 | 50 | 61 | 99 | 63 | 0 | 22 | 2 | 500,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 71 | 34 | 79 | 84 | 75 | 81 | 81 | 76 | 69 | 73 | 73 | 72 | 70 | 73 | 78 | 50 | 99 | 72 |
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 | Mark Visentin | 98.00 | 83 | 85 | 82 | 81 | 92 | 99 | 99 | 97 | 97 | 74 | 75 | 83 | 81 | 61 | 99 | 74 | N | 0 | 31 | 3 | 5,700,000$ |
2 | Charlie Lindgren | 100.00 | 81 | 87 | 82 | 80 | 90 | 90 | 90 | 90 | 90 | 80 | 81 | 80 | 99 | 43 | 99 | 72 | 0 | 29 | 2 | 1,400,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Ethan Haider (R) | 100.00 | 81 | 85 | 83 | 86 | 90 | 92 | 92 | 92 | 92 | 80 | 81 | 37 | 45 | 64 | 99 | 68 | 0 | 22 | 2 | 1,100,000$ | |
2 | Jakub Dobes (R) | 100.00 | 77 | 77 | 76 | 84 | 78 | 78 | 78 | 78 | 78 | 77 | 78 | 49 | 64 | 64 | 99 | 63 | 0 | 22 | 3 | 500,000$ | |
3 | Dylan Garand (R) | 100.00 | 82 | 85 | 82 | 77 | 85 | 85 | 85 | 85 | 85 | 82 | 85 | 51 | 65 | 73 | 99 | 66 | 0 | 21 | 2 | 925,000$ | |
MOYENNE D’ÉQUIPE | 99.00 | 82 | 86 | 82 | 81 | 91 | 95 | 95 | 94 | 94 | 77 | 78 | 82 | 90 | 52 | 99 | 73 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Hitchcock | 83 | 87 | 98 | 94 | 99 | 99 | 40 | CAN | 71 | 5 | 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 |
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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 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 |
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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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | Pittsburgh Penguins | C | 24 | 1990-09-19 10:51:27 | No | 166 Lbs | 6 ft1 | 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 | - | - | - | - | - | - | - | - | |||
Andre Burakovsky | Pittsburgh Penguins | C/LW/RW | 28 | 1986-10-05 14:16:54 | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro Only | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | No | 1,100,000$ | 1,100,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Brett Connolly | Pittsburgh Penguins | LW/RW | 31 | 1983-08-06 08:38:02 | No | 198 Lbs | 6 ft2 | Yes | No | N/A | No | No | 8 | Pro Only | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | No | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | - | - | Yes | Yes | Yes | Yes | Yes | Yes | Yes | - | - | |||
Callan Foote | Pittsburgh Penguins | D | 24 | 1990-10-04 05:16:41 | No | 229 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | Pro Only | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Charlie Lindgren | Pittsburgh Penguins | G | 29 | 1985-09-04 18:54:27 | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro Only | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | No | 1,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Evander Kane | Pittsburgh Penguins | LW | 32 | 1982-08-07 02:38:02 | No | 177 Lbs | 6 ft0 | Yes | No | N/A | No | No | 3 | Pro Only | 3,550,000$ | 3,550,000$ | 3,550,000$ | 3,550,000$ | No | 3,550,000$ | 3,550,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | |||
Ian White | Pittsburgh Penguins | D | 39 | 1975-08-06 08:38:02 | No | 191 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro Only | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jan Drozg | Pittsburgh Penguins | LW/RW | 24 | 1990-09-19 10:56:30 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | No | 2,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jared Cowen | Pittsburgh Penguins | D | 32 | 1982-08-07 02:38:02 | No | 231 Lbs | 6 ft6 | No | No | N/A | No | No | 7 | Pro Only | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | No | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | - | - | - | No | No | No | No | No | No | - | - | - | |||
Joni Ikonen | Pittsburgh Penguins | C/RW | 24 | 1990-09-19 10:41:25 | No | 194 Lbs | 6 ft2 | No | No | Trade | 2024-03-05 | No | No | 1 | Pro Only | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Jori Lehtera | Pittsburgh Penguins | C/LW | 34 | 1980-12-23 09:33:40 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro Only | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Mark Stone | Pittsburgh Penguins | RW | 30 | 1985-05-13 13:38:23 | No | 207 Lbs | 6 ft2 | No | No | Trade | 2024-03-03 | No | No | 1 | Pro Only | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Mark Visentin | Pittsburgh Penguins | G | 31 | 1983-10-14 10:13:26 | No | 198 Lbs | 6 ft2 | Yes | No | N/A | No | No | 3 | Pro Only | 5,700,000$ | 5,700,000$ | 5,700,000$ | 5,700,000$ | No | 5,700,000$ | 5,700,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | |||
Mathieu Joseph | Pittsburgh Penguins | LW/RW | 26 | 1988-09-27 13:10:08 | No | 189 Lbs | 6 ft1 | No | No | Trade | 2024-01-01 | No | No | 5 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Michael Dal Colle | Pittsburgh Penguins | C/LW | 27 | 1987-10-05 15:26:55 | No | 201 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro Only | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Michael Del Zotto | Pittsburgh Penguins | D | 33 | 1981-08-06 20:38:02 | No | 215 Lbs | 5 ft11 | No | No | N/A | No | No | 6 | Pro Only | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | No | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | |||
Nathan McIver | Pittsburgh Penguins | D | 38 | 1976-08-06 14:38:02 | No | 215 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 500,001$ | 500,001$ | 500,001$ | 500,001$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Phillip Danault | Pittsburgh Penguins | C/LW | 30 | 1984-10-14 12:29:40 | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro Only | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Pierre-Olivier Joseph | Pittsburgh Penguins | D | 24 | 1990-09-19 11:02:53 | No | 171 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Ryan Merkley | Pittsburgh Penguins | D | 23 | 1991-09-07 20:50:22 | No | 179 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro Only | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Timo Meier | Pittsburgh Penguins | C/LW/RW | 26 | 1988-09-27 13:55:51 | No | 236 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | No | 1,900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tommy Vannelli | Pittsburgh Penguins | D | 28 | 1986-10-05 14:14:59 | No | 192 Lbs | 6 ft2 | No | No | Trade | 2024-03-11 | No | No | 3 | Pro Only | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | 2,100,000$ | 2,100,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Zach Stepan | Pittsburgh Penguins | C | 29 | 1985-10-14 13:11:43 | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro Only | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | No | 3,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 28.96 | 198 Lbs | 6 ft2 | 2.91 | 2,552,174$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
58,700,001$ | 47,250,000$ | 33,950,000$ | 19,500,000$ | 13,300,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Timo Meier | Zach Stepan | Michael Dal Colle | 28 | 1 | 1 | 3 |
2 | Jan Drozg | Jori Lehtera | Mark Stone | 28 | 1 | 1 | 3 |
3 | Andre Burakovsky | Aleksi Heponiemi | Mathieu Joseph | 28 | 1 | 1 | 3 |
4 | Evander Kane | Phillip Danault | Brett Connolly | 16 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Michael Del Zotto | Pierre-Olivier Joseph | 27 | 1 | 1 | 3 | |
2 | Ryan Merkley | Callan Foote | 27 | 1 | 2 | 2 | |
3 | Jared Cowen | Tommy Vannelli | 26 | 1 | 2 | 2 | |
4 | Ian White | Nathan McIver | 20 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jan Drozg | Jori Lehtera | Mark Stone | 60 | 1 | 1 | 3 |
2 | Andre Burakovsky | Aleksi Heponiemi | Michael Dal Colle | 40 | 1 | 1 | 3 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Michael Del Zotto | Ryan Merkley | 60 | 1 | 1 | 3 | |
2 | Callan Foote | Tommy Vannelli | 40 | 1 | 1 | 3 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Phillip Danault | Brett Connolly | 60 | 1 | 2 | 2 |
2 | Timo Meier | Mathieu Joseph | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jared Cowen | Nathan McIver | 60 | 1 | 3 | 1 |
2 | Callan Foote | Ian White | 40 | 1 | 3 | 1 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Phillip Danault | 60 | 1 | 3 | 1 | Jared Cowen | Nathan McIver | 60 | 1 | 2 | 2 |
2 | Timo Meier | 40 | 1 | 3 | 1 | Callan Foote | Ian White | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Zach Stepan | Timo Meier | 60 | 1 | 2 | 2 |
2 | Jori Lehtera | Mark Stone | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Michael Del Zotto | Pierre-Olivier Joseph | 60 | 1 | 2 | 2 |
2 | Jared Cowen | Tommy Vannelli | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jan Drozg | Jori Lehtera | Mark Stone | Michael Del Zotto | Pierre-Olivier Joseph |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Evander Kane | Phillip Danault | Brett Connolly | Jared Cowen | Nathan McIver |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Evander Kane, Zach Stepan, Timo Meier | Mark Stone, Jori Lehtera | Brett Connolly |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ryan Merkley, Callan Foote, Tommy Vannelli | Michael Del Zotto | Jared Cowen, Nathan McIver |
Tirs de pénalité |
---|
Evander Kane, Michael Dal Colle, Jan Drozg, Andre Burakovsky, Mark Stone |
Gardien |
---|
#1 : Mark Visentin, #2 : Charlie Lindgren |
Lignes d’attaque personnalisées en prolongation |
---|
Zach Stepan, Jori Lehtera, Michael Dal Colle, Mark Stone, Brett Connolly, Aleksi Heponiemi, Aleksi Heponiemi, Jan Drozg, Timo Meier, Phillip Danault , Mathieu Joseph |
Lignes de défense personnalisées en prolongation |
---|
Michael Del Zotto, Ryan Merkley, Callan Foote, Tommy Vannelli, Jared Cowen |
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 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 | 4 | Pittsburgh Penguins | - | St-Louis Blues | - | |||||
3 | 12 | Pittsburgh Penguins | - | St-Louis Blues | - | |||||
5 | 20 | St-Louis Blues | - | Pittsburgh Penguins | - | |||||
7 | 28 | St-Louis Blues | - | Pittsburgh Penguins | - | |||||
9 | 36 | Pittsburgh Penguins | - | St-Louis Blues | - | |||||
11 | 44 | St-Louis Blues | - | Pittsburgh Penguins | - | |||||
13 | 52 | Pittsburgh Penguins | - | St-Louis Blues | - |
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 | 65 | 30 | 13 | 10 | 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$ | 58,700,001$ | 57,500,001$ | 0$ | 2,750,000$ |
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$ | 23 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 14 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 66,866,196$ | 66,866,196$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
---|---|---|---|---|---|---|
Filip Wiberg | Pittsburgh Penguins | 2020 | 91 | |||
Rudger McGroarty | Pittsburgh Penguins | 2022 | 22 | |||
Ryan Chesley | Pittsburgh Penguins | 2022 | 28 |
Année | R1 | R2 | R3 | |
---|---|---|---|---|
2024 | PIT NYR | PIT | DET PIT | |
2025 | PIT | PIT | ||
2026 | PIT | PIT | PIT | |
2027 | PIT | PIT | PIT | |
2028 | PIT | PIT | PIT | |
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 |
---|