Saguenéens | |
GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8 GF: 17 | GA: 8 | PP%: 17.65% | PK%: 70.00% DG: Nicolas Gagnon | Morale : 90 | Moyenne d’équipe : 59 Prochains matchs #62 vs Vipers |
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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 | Warren Foegele | X | 100.00 | 70 | 48 | 79 | 84 | 71 | 70 | 99 | 66 | 30 | 61 | 70 | 69 | 70 | 88 | 79 | 0 | 90 | 67 | 0 | 28 | 5 | 3,750,000$ | ||||
2 | Patrik Laine | X | 100.00 | 51 | 45 | 87 | 82 | 83 | 76 | 40 | 63 | 30 | 52 | 75 | 58 | 70 | 85 | 77 | 0 | 90 | 64 | 0 | 26 | 2 | 5,500,000$ | ||||
3 | Thomas Bordeleau | X | 100.00 | 55 | 45 | 77 | 86 | 49 | 75 | 40 | 62 | 83 | 55 | 68 | 65 | 69 | 82 | 74 | 0 | 90 | 63 | 0 | 22 | 5 | 900,000$ | ||||
4 | Jonny Brodzinski | X | 100.00 | 59 | 45 | 91 | 80 | 67 | 56 | 69 | 59 | 80 | 59 | 59 | 56 | 68 | 90 | 78 | 0 | 90 | 63 | 0 | 31 | 3 | 950,000$ | ||||
5 | Josh Doan | X | 100.00 | 53 | 45 | 95 | 86 | 59 | 62 | 40 | 63 | 30 | 56 | 71 | 70 | 69 | 82 | 71 | 0 | 90 | 62 | 0 | 22 | 4 | 1,200,000$ | ||||
6 | Justin Bailey | X | 100.00 | 75 | 45 | 92 | 77 | 80 | 56 | 71 | 55 | 30 | 53 | 57 | 70 | 66 | 88 | 76 | 0 | 90 | 62 | 0 | 29 | 1 | 900,000$ | ||||
7 | Matt Martin | X | 100.00 | 99 | 60 | 74 | 75 | 79 | 50 | 69 | 51 | 30 | 46 | 56 | 66 | 65 | 94 | 81 | 0 | 90 | 61 | 0 | 35 | 1 | 1,025,000$ | ||||
8 | James Malatesta (R) | X | 100.00 | 93 | 48 | 88 | 80 | 55 | 51 | 40 | 53 | 30 | 48 | 58 | 61 | 66 | 80 | 67 | 0 | 90 | 58 | 0 | 21 | 3 | 1,025,000$ | ||||
9 | Landon Slaggert | X | 100.00 | 64 | 45 | 90 | 81 | 55 | 56 | 40 | 53 | 30 | 52 | 54 | 73 | 66 | 81 | 69 | 0 | 90 | 58 | 0 | 22 | 4 | 925,000$ | ||||
10 | Samuel Laberge | X | 98.00 | 50 | 45 | 95 | 75 | 72 | 50 | 40 | 45 | 30 | 40 | 50 | 60 | 50 | 87 | 74 | 0 | 90 | 54 | 0 | 27 | 4 | 800,000$ | ||||
11 | Daniil Miromanov | X | 100.00 | 52 | 45 | 86 | 81 | 72 | 86 | 40 | 60 | 30 | 54 | 65 | 72 | 68 | 86 | 81 | 0 | 90 | 66 | 0 | 27 | 5 | 900,000$ | ||||
12 | Jon Merrill | X | 100.00 | 58 | 45 | 82 | 78 | 68 | 53 | 78 | 53 | 30 | 49 | 58 | 67 | 66 | 92 | 80 | 0 | 90 | 64 | 0 | 32 | 1 | 1,025,000$ | ||||
13 | Marc Staal | X | 100.00 | 66 | 45 | 84 | 76 | 72 | 58 | 42 | 51 | 30 | 49 | 54 | 77 | 65 | 97 | 85 | 0 | 90 | 64 | 0 | 37 | 3 | 1,200,000$ | ||||
14 | Adam Boqvist | X | 100.00 | 52 | 45 | 95 | 83 | 55 | 76 | 42 | 57 | 30 | 61 | 54 | 63 | 67 | 83 | 75 | 0 | 90 | 62 | 0 | 24 | 2 | 2,500,000$ | ||||
15 | Gavin Bayreuther (A) | X | 100.00 | 50 | 45 | 95 | 82 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 78 | 0 | 90 | 57 | 0 | 30 | 2 | 950,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Ben Meyers | X | 90.88 | 80 | 45 | 88 | 78 | 60 | 51 | 40 | 50 | 75 | 47 | 54 | 66 | 65 | 85 | 72 | 0 | 90 | 60 | 0 | 25 | 4 | 925,000$ | ||||
2 | Matthew Phillips (R) | X | 82.05 | 51 | 45 | 95 | 82 | 40 | 51 | 40 | 52 | 30 | 51 | 53 | 63 | 65 | 86 | 73 | 0 | 90 | 55 | 0 | 26 | 1 | 700,000$ | ||||
3 | Luke Philp | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 76 | 0 | 90 | 53 | 0 | 28 | 2 | 775,000$ | ||||
4 | Rocco Grimaldi | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 90 | 77 | 0 | 90 | 53 | 0 | 31 | 1 | 982,000$ | ||||
5 | Isak Rosen (R) | X | 100.00 | 50 | 45 | 95 | 79 | 52 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 81 | 68 | 0 | 90 | 52 | 0 | 21 | 4 | 1,200,000$ | ||||
6 | Tanner Laczynski (R) | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 1 | 950,000$ | ||||
7 | Gabriel Landeskog | X | 100.00 | 50 | 45 | 95 | 74 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 91 | 78 | 0 | 90 | 52 | 0 | 31 | 4 | 900,000$ | ||||
8 | Alexander Chmelevski | X | 100.00 | 50 | 45 | 95 | 77 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 71 | 0 | 90 | 52 | 0 | 25 | 1 | 750,000$ | ||||
9 | Nathan Smith (R) | X | 100.00 | 50 | 45 | 95 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 71 | 0 | 90 | 52 | 0 | 25 | 5 | 800,000$ | ||||
MOYENNE D’ÉQUIPE | 98.75 | 60 | 46 | 90 | 80 | 63 | 57 | 48 | 52 | 36 | 48 | 57 | 62 | 61 | 87 | 75 | 0 | 90 | 59 |
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 | Matthew Murray (R) | 100.00 | 79 | 50 | 60 | 85 | 79 | 79 | 79 | 79 | 79 | 75 | 70 | 85 | 72 | 0 | 90 | 66 | 0 | 26 | 2 | 775,000$ | |
2 | Kevin Mandolese (R) | 100.00 | 70 | 50 | 76 | 83 | 70 | 70 | 70 | 70 | 70 | 70 | 99 | 82 | 70 | 0 | 90 | 62 | 0 | 24 | 2 | 775,000$ | |
Rayé | |||||||||||||||||||||||
1 | Josef Korenar (R) | 100.00 | 70 | 40 | 40 | 83 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 84 | 71 | 0 | 90 | 57 | 0 | 26 | 1 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 73 | 47 | 59 | 84 | 71 | 71 | 71 | 71 | 71 | 70 | 78 | 84 | 71 | 0 | 90 | 62 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Drew Bannister | 73 | 87 | 76 | 95 | 84 | 78 | 72 | CAN | 50 | 1 | 1,500,000$ |
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 | Matthew Phillips | Saguenéens (CHI) | C | 4 | 1 | 3 | 4 | 4 | 0 | 0 | 1 | 14 | 20 | 3 | 8 | 5.00% | 3 | 65 | 16.45 | 0 | 0 | 0 | 4 | 7 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 38.46% | 65 | 0 | 0 | 0 | 0 | 1.22 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 |
2 | Ben Meyers | Saguenéens (CHI) | LW | 4 | 1 | 3 | 4 | 2 | 2 | 0 | 6 | 8 | 8 | 1 | 7 | 12.50% | 0 | 56 | 14.07 | 1 | 0 | 1 | 2 | 7 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 63.64% | 11 | 0 | 0 | 0 | 0 | 1.42 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
3 | Samuel Laberge | Saguenéens (CHI) | C | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 5 | 6 | 3 | 7 | 0% | 1 | 58 | 14.58 | 0 | 0 | 0 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 42.59% | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
Statistiques d’équipe totales ou en moyenne | 12 | 2 | 6 | 8 | 9 | 2 | 0 | 8 | 27 | 34 | 7 | 22 | 5.88% | 4 | 180 | 15.03 | 1 | 0 | 1 | 8 | 22 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 42.31% | 130 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 |
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 | Pays | 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 | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 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 |
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Adam Boqvist | Saguenéens (CHI) | D | 24 | 2000-08-15 | SWE | No | 189 Lbs | 6 ft0 | No | No | Trade | 2025-01-09 | No | No | 2 | 2025-03-16 | False | False | Pro & Farm | 2,500,000$ | 2,410,714$ | 0$ | 0$ | No | 2,500,000$ | - | - | - | - | - | - | - | - | 2,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Alexander Chmelevski | Saguenéens (CHI) | RW | 25 | 1999-06-09 | USA | No | 188 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 750,000$ | 723,214$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Ben Meyers | Saguenéens (CHI) | LW | 25 | 1998-11-15 | USA | No | 194 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | 2025-03-16 | False | False | Pro & Farm | 925,000$ | 891,964$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Daniil Miromanov | Saguenéens (CHI) | D | 27 | 1997-07-11 | RUS | No | 207 Lbs | 6 ft4 | No | No | Trade | 2025-01-14 | No | No | 5 | 2025-03-16 | False | False | Pro & Farm | 900,000$ | 867,857$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
Gabriel Landeskog | Saguenéens (CHI) | LW | 31 | 1992-11-23 | SWE | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2025-03-16 | False | False | Pro & Farm | 900,000$ | 867,857$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Gavin Bayreuther | Saguenéens (CHI) | D | 30 | 1994-05-12 | USA | No | 196 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2025-03-16 | False | False | Pro & Farm | 950,000$ | 916,071$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Isak Rosen | Saguenéens (CHI) | RW | 21 | 2003-03-15 | SWE | Yes | 173 Lbs | 6 ft0 | No | No | Trade | 2025-04-11 | No | No | 4 | 2025-03-16 | False | False | Pro & Farm | 1,200,000$ | 1,157,143$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
James Malatesta | Saguenéens (CHI) | LW | 21 | 2003-05-31 | CAN | Yes | 191 Lbs | 5 ft9 | No | No | Assign Manually | No | No | 3 | 2025-04-04 | False | False | Pro & Farm | 1,025,000$ | 988,393$ | 0$ | 0$ | No | 1,025,000$ | 1,025,000$ | - | - | - | - | - | - | - | 1,025,000$ | 1,025,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Jon Merrill | Saguenéens (CHI) | D | 32 | 1992-02-03 | USA | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 1,025,000$ | 988,393$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Jonny Brodzinski | Saguenéens (CHI) | C | 31 | 1993-06-19 | USA | No | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2025-03-16 | False | False | Pro & Farm | 950,000$ | 916,071$ | 0$ | 0$ | No | 950,000$ | 950,000$ | - | - | - | - | - | - | - | 950,000$ | 950,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Josef Korenar | Saguenéens (CHI) | G | 26 | 1998-01-31 | CZE | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 750,000$ | 723,214$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Josh Doan | Saguenéens (CHI) | RW | 22 | 2002-02-01 | USA | No | 183 Lbs | 6 ft1 | No | No | Trade | 2025-04-11 | No | No | 4 | 2025-03-16 | False | False | Pro & Farm | 1,200,000$ | 1,157,143$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
Justin Bailey | Saguenéens (CHI) | RW | 29 | 1995-07-01 | USA | No | 214 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 900,000$ | 867,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Kevin Mandolese | Saguenéens (CHI) | G | 24 | 2000-08-22 | CAN | Yes | 180 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | 2025-03-16 | False | False | Pro & Farm | 775,000$ | 747,321$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Landon Slaggert | Saguenéens (CHI) | LW | 22 | 2002-06-25 | USA | No | 180 Lbs | 6 ft0 | No | No | Trade | 2025-03-28 | No | No | 4 | 2025-03-16 | False | False | Pro & Farm | 925,000$ | 891,964$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
Luke Philp | Saguenéens (CHI) | C | 28 | 1995-11-06 | CAN | No | 181 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | 2025-03-16 | False | False | Pro & Farm | 775,000$ | 747,321$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Marc Staal | Saguenéens (CHI) | D | 37 | 1987-01-13 | CAN | No | 208 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | 2025-03-16 | False | False | Pro & Farm | 1,200,000$ | 1,157,143$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | - | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Matt Martin | Saguenéens (CHI) | LW | 35 | 1989-05-08 | CAN | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 1,025,000$ | 988,393$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Matthew Murray | Saguenéens (CHI) | G | 26 | 1998-02-02 | CAN | Yes | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2025-03-16 | False | False | Pro & Farm | 775,000$ | 747,321$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Matthew Phillips | Saguenéens (CHI) | C | 26 | 1998-04-06 | CAN | Yes | 160 Lbs | 5 ft8 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 700,000$ | 675,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Nathan Smith | Saguenéens (CHI) | RW | 25 | 1998-10-19 | USA | Yes | 177 Lbs | 6 ft0 | No | No | N/A | No | No | 5 | 2025-03-16 | False | False | Pro & Farm | 800,000$ | 771,429$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Patrik Laine | Saguenéens (CHI) | RW | 26 | 1998-04-19 | FIN | No | 215 Lbs | 6 ft5 | No | No | Trade | 2025-03-30 | No | No | 2 | 2025-03-16 | False | False | Pro & Farm | 5,500,000$ | 5,303,571$ | 0$ | 0$ | No | 5,500,000$ | - | - | - | - | - | - | - | - | 5,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
Rocco Grimaldi | Saguenéens (CHI) | LW | 31 | 1993-02-08 | USA | No | 180 Lbs | 5 ft6 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 982,000$ | 946,929$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Samuel Laberge | Saguenéens (CHI) | C | 27 | 1997-04-10 | CAN | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2025-03-16 | False | False | Pro & Farm | 800,000$ | 771,429$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Tanner Laczynski | Saguenéens (CHI) | C | 27 | 1997-06-01 | USA | Yes | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2025-03-16 | False | False | Pro & Farm | 950,000$ | 916,071$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Thomas Bordeleau | Saguenéens (CHI) | RW | 22 | 2002-01-03 | USA | No | 175 Lbs | 5 ft10 | No | No | Trade | 2025-03-28 | No | No | 5 | 2025-03-16 | False | False | Pro & Farm | 900,000$ | 867,857$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
Warren Foegele | Saguenéens (CHI) | RW | 28 | 1996-04-01 | CAN | No | 204 Lbs | 6 ft2 | No | No | Trade | 2025-01-12 | No | No | 5 | 2025-03-16 | False | False | Pro & Farm | 3,750,000$ | 3,616,071$ | 0$ | 0$ | No | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | - | - | - | - | - | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
27 | 26.96 | 193 Lbs | 6 ft1 | 2.70 | 1,253,037$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Samuel Laberge | 25 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Samuel Laberge, , | Samuel Laberge, |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , , , Samuel Laberge |
Gardien |
---|
#1 : , #2 : |
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 |
1 | Raptors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 5 | 5 | 7 | 0 | 31 | 45 | 47 | 54 | 0 | 23 | 8 | 14 | 26 | 3 | 2 | 66.67% | 5 | 2 | 60.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
2 | Scorpions | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 5 | 5 | 7 | 0 | 42 | 45 | 47 | 54 | 0 | 31 | 13 | 10 | 21 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
3 | Snowbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 5 | 5 | 7 | 0 | 29 | 45 | 47 | 54 | 0 | 20 | 12 | 6 | 15 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
4 | Supreme | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 5 | 5 | 7 | 0 | 44 | 45 | 47 | 54 | 0 | 29 | 11 | 14 | 19 | 2 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
Total | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 8 | 1.000 | 17 | 33 | 50 | 0 | 0 | 5 | 5 | 7 | 0 | 146 | 45 | 47 | 54 | 0 | 103 | 44 | 44 | 81 | 17 | 3 | 17.65% | 20 | 6 | 70.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 | |
_Since Last GM Reset | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 8 | 1.000 | 17 | 33 | 50 | 0 | 0 | 5 | 5 | 7 | 0 | 146 | 45 | 47 | 54 | 0 | 103 | 44 | 44 | 81 | 17 | 3 | 17.65% | 20 | 6 | 70.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 | |
_Vs Conference | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 8 | 1.000 | 17 | 33 | 50 | 0 | 0 | 5 | 5 | 7 | 0 | 146 | 45 | 47 | 54 | 0 | 103 | 44 | 44 | 81 | 17 | 3 | 17.65% | 20 | 6 | 70.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 | |
_Vs Division | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 8 | 1.000 | 17 | 33 | 50 | 0 | 0 | 5 | 5 | 7 | 0 | 146 | 45 | 47 | 54 | 0 | 103 | 44 | 44 | 81 | 17 | 3 | 17.65% | 20 | 6 | 70.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
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 |
4 | 8 | W4 | 17 | 33 | 50 | 146 | 103 | 44 | 44 | 81 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 8 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 5 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 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 |
---|---|---|---|---|---|---|
17 | 3 | 17.65% | 20 | 6 | 70.00% | 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 |
---|---|---|---|---|---|---|---|
45 | 47 | 54 | 0 | 5 | 5 | 7 | 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 |
70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% |
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 |
98 | 72 | 97 | 26 | 43 | 21 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 80 | 30 |
Assistance | 2,000 | 1,000 |
Assistance PCT | 100.00% | 100.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
40 | 3000 - 100.00% | 228,000$ | 228,000$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
174,400$ | 3,383,200$ | 3,383,200$ | 1,500,000$0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 120,828$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
9,120,000$ | 108 | 43,600$ | 4,708,800$ |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matthew Phillips | 4 | 1 | 3 | 4 | 4 | 0 | 1 | 14 | 20 | 5.00% | 3 | 65 | 16.45 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 38.46% | 0 | 1.22 | 0 | 0 |
2 | Ben Meyers | 4 | 1 | 3 | 4 | 2 | 2 | 6 | 8 | 8 | 12.50% | 0 | 56 | 14.07 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 63.64% | 0 | 1.42 | 0 | 0 |
3 | Samuel Laberge | 4 | 0 | 0 | 0 | 3 | 0 | 1 | 5 | 6 | 0% | 1 | 58 | 14.58 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 42.59% | 0 | 0 | 0 | 0 |
# | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
49 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 8 | 17 | 33 | 50 | 0 | 0 | 5 | 5 | 7 | 0 | 146 | 45 | 47 | 54 | 0 | 103 | 44 | 44 | 81 | 17 | 3 | 17.65% | 20 | 6 | 70.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
Total Saison régulière | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 8 | 17 | 33 | 50 | 0 | 0 | 5 | 5 | 7 | 0 | 146 | 45 | 47 | 54 | 0 | 103 | 44 | 44 | 81 | 17 | 3 | 17.65% | 20 | 6 | 70.00% | 0 | 70 | 150 | 46.67% | 60 | 129 | 46.51% | 28 | 58 | 48.28% | 98 | 72 | 97 | 26 | 43 | 21 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Séries éliminatoires | 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 | 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 |
# | 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 |
---|