| Seattle Monsters | |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: A.J. Wells | Morale : 90 | Moyenne d’équipe : N/A |
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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 | Anthony Beauvillier | 72 | X | X | X | 100.00 | 74 | 35 | 93 | 79 | 73 | 86 | 88 | 76 | 63 | 74 | 75 | 79 | 78 | 75 | 75 | 0 | 90 | 0 | 0 | 28 | 2 | 2,750,000$ | ||
| 2 | Adam Gaudette | 81 | X | X | X | 100.00 | 73 | 42 | 84 | 83 | 74 | 85 | 93 | 74 | 78 | 72 | 75 | 75 | 70 | 74 | 74 | 0 | 90 | 0 | 0 | 29 | 2 | 2,000,000$ | ||
| 3 | David Perron | 57 | X | X | X | 100.00 | 72 | 46 | 81 | 79 | 75 | 88 | 90 | 79 | 59 | 74 | 74 | 79 | 76 | 82 | 82 | 0 | 90 | 0 | 0 | 37 | 1 | 4,000,000$ | ||
| 4 | Pius Suter (A) | 24 | X | X | X | 100.00 | 75 | 35 | 92 | 80 | 75 | 88 | 83 | 79 | 81 | 77 | 77 | 82 | 76 | 76 | 76 | 0 | 90 | 0 | 0 | 29 | 2 | 4,000,000$ | ||
| 5 | Anthony Duclair | 11 | X | X | X | 100.00 | 72 | 35 | 91 | 88 | 73 | 85 | 88 | 75 | 58 | 73 | 74 | 77 | 82 | 76 | 75 | 0 | 90 | 0 | 0 | 30 | 3 | 3,500,000$ | ||
| 6 | Joel Kiviranta | 94 | X | X | X | 100.00 | 78 | 35 | 92 | 82 | 73 | 85 | 79 | 74 | 68 | 73 | 75 | 81 | 71 | 74 | 74 | 0 | 90 | 0 | 0 | 30 | 1 | 1,250,000$ | ||
| 7 | Garnet Hathaway | 21 | X | X | X | 100.00 | 93 | 77 | 74 | 79 | 83 | 78 | 90 | 73 | 73 | 74 | 74 | 84 | 65 | 78 | 76 | 0 | 90 | 0 | 0 | 34 | 2 | 2,400,000$ | ||
| 8 | Yakov Trenin | 13 | X | X | X | 100.00 | 86 | 50 | 85 | 75 | 82 | 80 | 84 | 72 | 80 | 73 | 73 | 82 | 71 | 74 | 73 | 0 | 90 | 0 | 0 | 29 | 3 | 3,500,000$ | ||
| 9 | Jonny Brodzinski | 64 | X | X | X | 100.00 | 66 | 43 | 84 | 70 | 80 | 77 | 78 | 66 | 68 | 68 | 68 | 68 | 66 | 70 | 70 | 0 | 90 | 0 | 0 | 32 | 1 | 787,500$ | ||
| 10 | Ridly Greig | 71 | X | X | X | 100.00 | 77 | 64 | 81 | 79 | 75 | 80 | 80 | 79 | 75 | 76 | 75 | 78 | 73 | 73 | 73 | 0 | 90 | 0 | 0 | 23 | 4 | 3,250,000$ | ||
| 11 | Martin Pospisil | 76 | X | X | X | 100.00 | 85 | 75 | 73 | 78 | 83 | 90 | 80 | 77 | 74 | 77 | 73 | 81 | 68 | 75 | 75 | 0 | 90 | 0 | 0 | 26 | 4 | 1,000,000$ | ||
| 12 | Owen Beck | 62 | X | X | X | 100.00 | 73 | 57 | 82 | 82 | 76 | 80 | 80 | 73 | 75 | 71 | 70 | 74 | 70 | 71 | 71 | 0 | 90 | 0 | 0 | 22 | 2 | 853,333$ | ||
| 13 | Adam Boqvist | 2 | X | 100.00 | 67 | 35 | 92 | 79 | 72 | 83 | 80 | 77 | 30 | 74 | 71 | 79 | 55 | 74 | 75 | 0 | 90 | 0 | 0 | 25 | 1 | 850,000$ | ||||
| 14 | Henri Jokiharju | 20 | X | 100.00 | 74 | 37 | 89 | 80 | 75 | 87 | 85 | 77 | 30 | 74 | 71 | 83 | 52 | 77 | 75 | 0 | 90 | 0 | 0 | 26 | 3 | 3,000,000$ | ||||
| 15 | Timothy Liljegren | 37 | X | 100.00 | 72 | 42 | 85 | 77 | 76 | 87 | 81 | 76 | 30 | 76 | 71 | 81 | 52 | 75 | 75 | 0 | 90 | 0 | 0 | 26 | 1 | 3,000,000$ | ||||
| 16 | Tyler Myers (C) | 5 | X | 100.00 | 79 | 72 | 74 | 77 | 87 | 89 | 92 | 76 | 30 | 76 | 72 | 85 | 52 | 85 | 80 | 0 | 90 | 0 | 0 | 36 | 2 | 3,000,000$ | ||||
| 17 | Matthew Kessel | 51 | X | 100.00 | 74 | 60 | 80 | 78 | 76 | 80 | 80 | 72 | 50 | 71 | 66 | 79 | 60 | 71 | 71 | 0 | 90 | 0 | 0 | 25 | 1 | 800,000$ | ||||
| 18 | Connor Clifton | 75 | X | 100.00 | 86 | 67 | 76 | 78 | 84 | 80 | 80 | 77 | 30 | 75 | 70 | 84 | 52 | 75 | 75 | 0 | 90 | 0 | 0 | 30 | 1 | 3,333,333$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Andrew Copp (A) | 18 | X | X | X | 100.00 | 76 | 35 | 92 | 78 | 80 | 87 | 89 | 75 | 84 | 74 | 74 | 85 | 68 | 77 | 77 | 0 | 90 | 0 | 0 | 31 | 2 | 5,625,000$ | ||
| 2 | Trent Frederic | 10 | X | 100.00 | 80 | 64 | 79 | 78 | 81 | 79 | 83 | 78 | 78 | 74 | 74 | 84 | 62 | 75 | 75 | 0 | 90 | 0 | 0 | 28 | 8 | 3,850,000$ | ||||
| 3 | Dylan McIlrath | 52 | X | 100.00 | 88 | 82 | 64 | 72 | 86 | 79 | 79 | 65 | 30 | 67 | 63 | 76 | 51 | 77 | 72 | 0 | 90 | 0 | 0 | 33 | 2 | 800,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 77 | 52 | 83 | 79 | 78 | 83 | 84 | 75 | 59 | 73 | 72 | 80 | 65 | 75 | 75 | 0 | 90 | 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 |
| # | 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 | Elvis Merzlikins | 90 | 100.00 | 87 | 85 | 85 | 83 | 87 | 87 | 87 | 87 | 87 | 87 | 87 | 83 | 83 | 0 | 90 | 0 | 0 | 31 | 2 | 5,400,000$ | |
| 2 | Alex Nedeljkovic | 33 | 100.00 | 86 | 85 | 85 | 80 | 86 | 86 | 86 | 86 | 86 | 86 | 86 | 79 | 77 | 0 | 90 | 0 | 0 | 30 | 3 | 2,500,000$ | |
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 87 | 85 | 85 | 82 | 87 | 87 | 87 | 87 | 87 | 87 | 87 | 81 | 80 | 0 | 90 | 0 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Muse | 77 | 80 | 80 | 83 | 78 | 86 | 87 | USA | 43 | 3 | 2,500,000$ |
| 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 |
|---|
| 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 | 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Boqvist | Seattle Monsters | D | 25 | 2000-08-15 | SWE | No | 179 Lbs | 5 ft11 | No | No | Trade | 2025-11-12 | No | No | 1 | 2025-09-29 | False | False | Pro & Farm | 850,000$ | 850,000$ | 157,857$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Adam Gaudette | Seattle Monsters | C/LW/RW | 29 | 1996-10-03 | USA | No | 170 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2025-07-01 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 371,429$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Alex Nedeljkovic | Seattle Monsters | G | 30 | 1996-01-07 | USA | No | 189 Lbs | 6 ft0 | No | No | Trade | 2026-01-22 | No | No | 3 | 2026-03-07 | False | False | Pro & Farm | 2,500,000$ | 2,500,000$ | 464,286$ | No | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Andrew Copp | Seattle Monsters | C/LW/RW | 31 | 1994-07-08 | USA | No | 206 Lbs | 6 ft1 | No | No | Trade | 2026-02-27 | No | No | 2 | False | False | Pro & Farm | 5,625,000$ | 5,625,000$ | 1,044,643$ | No | 5,625,000$ | - | - | - | - | - | - | - | - | 5,625,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Anthony Beauvillier | Seattle Monsters | C/LW/RW | 28 | 1997-06-08 | CAN | No | 182 Lbs | 5 ft11 | No | No | Trade | 2026-03-12 | No | No | 2 | 2025-07-03 | False | False | Pro & Farm | 2,750,000$ | 2,750,000$ | 510,714$ | No | 2,750,000$ | - | - | - | - | - | - | - | - | 2,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Anthony Duclair | Seattle Monsters | C/LW/RW | 30 | 1995-08-26 | CAN | No | 197 Lbs | 5 ft11 | No | No | Trade | 2025-10-29 | No | No | 3 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 650,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Connor Clifton | Seattle Monsters | D | 30 | 1995-04-28 | USA | No | 195 Lbs | 5 ft11 | No | No | Trade | 2025-07-04 | No | No | 1 | False | False | Pro & Farm | 3,333,333$ | 3,333,333$ | 619,048$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| David Perron | Seattle Monsters | C/LW/RW | 37 | 1988-05-28 | CAN | No | 200 Lbs | 6 ft0 | No | No | Trade | 2024-10-07 | No | No | 1 | False | False | Pro & Farm | 4,000,000$ | 4,000,000$ | 742,857$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Dylan McIlrath | Seattle Monsters | D | 33 | 1992-04-20 | CAN | No | 231 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 800,000$ | 800,000$ | 148,571$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Elvis Merzlikins | Seattle Monsters | G | 31 | 1994-04-13 | LVA | No | 185 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,400,000$ | 5,400,000$ | 1,002,857$ | No | 5,400,000$ | - | - | - | - | - | - | - | - | 5,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Garnet Hathaway | Seattle Monsters | C/LW/RW | 34 | 1991-11-23 | USA | No | 212 Lbs | 6 ft2 | No | No | Trade | 2024-12-31 | No | No | 2 | False | False | Pro & Farm | 2,400,000$ | 2,400,000$ | 445,714$ | No | 2,400,000$ | - | - | - | - | - | - | - | - | 2,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Henri Jokiharju | Seattle Monsters | D | 26 | 1999-06-17 | FIN | No | 199 Lbs | 6 ft0 | No | No | Trade | 2026-03-07 | No | No | 3 | 2025-06-30 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 557,143$ | No | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Joel Kiviranta | Seattle Monsters | C/LW/RW | 30 | 1996-03-23 | FIN | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2025-08-09 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 232,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jonny Brodzinski | Seattle Monsters | C/LW/RW | 32 | 1993-06-19 | USA | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 787,500$ | 787,500$ | 146,250$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Martin Pospisil | Seattle Monsters | C/LW/RW | 26 | 1999-11-19 | SVK | No | 173 Lbs | 6 ft2 | No | No | Trade | 2026-03-13 | No | No | 4 | 2025-07-31 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 185,714$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL |
| Matthew Kessel | Seattle Monsters | D | 25 | 2000-06-23 | USA | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 800,000$ | 148,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Owen Beck | Seattle Monsters | C/LW/RW | 22 | 2004-02-03 | CAN | No | 191 Lbs | 6 ft0 | No | No | Trade | 2026-03-08 | No | No | 2 | False | False | Pro & Farm | 853,333$ | 853,333$ | 158,476$ | No | 853,333$ | - | - | - | - | - | - | - | - | 853,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Pius Suter | Seattle Monsters | C/LW/RW | 29 | 1996-05-24 | CHE | No | 176 Lbs | 5 ft11 | No | No | Trade | 2025-03-06 | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 4,000,000$ | 4,000,000$ | 742,857$ | No | 4,000,000$ | - | - | - | - | - | - | - | - | 4,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Ridly Greig | Seattle Monsters | C/LW/RW | 23 | 2002-08-08 | CAN | No | 181 Lbs | 6 ft0 | No | No | Trade | 2026-01-21 | No | No | 4 | 2025-01-11 | False | False | Pro & Farm | 3,250,000$ | 3,250,000$ | 603,571$ | No | 3,250,000$ | 3,250,000$ | 3,250,000$ | - | - | - | - | - | - | 3,250,000$ | 3,250,000$ | 3,250,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL |
| Timothy Liljegren | Seattle Monsters | D | 26 | 1999-04-30 | SWE | No | 198 Lbs | 6 ft0 | No | No | Trade | 2025-10-29 | No | No | 1 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 557,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Trent Frederic | Seattle Monsters | C | 28 | 1998-02-11 | USA | No | 203 Lbs | 6 ft2 | No | No | Trade | 2026-01-22 | No | No | 8 | 2025-06-27 | False | False | Pro & Farm | 3,850,000$ | 3,850,000$ | 715,000$ | No | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | - | - | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | - | - | No | No | No | No | No | No | No | - | - | Lien / Lien NHL |
| Tyler Myers | Seattle Monsters | D | 36 | 1990-02-01 | CAN | No | 229 Lbs | 6 ft8 | No | No | Trade | 2026-02-14 | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 557,143$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Yakov Trenin | Seattle Monsters | C/LW/RW | 29 | 1997-01-13 | RUS | No | 201 Lbs | 6 ft2 | No | No | Trade | 2024-10-15 | No | No | 3 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 650,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 23 | 29.13 | 196 Lbs | 6 ft1 | 2.30 | 2,671,703$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 61,449,166$ | 49,428,333$ | 22,600,000$ | 9,600,000$ | 3,850,000$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Joel Kiviranta | Ridly Greig | Anthony Beauvillier | 40 | 2 | 1 | 2 |
| 2 | Anthony Duclair | David Perron | Yakov Trenin | 30 | 1 | 2 | 2 |
| 3 | Garnet Hathaway | Pius Suter | Martin Pospisil | 20 | 1 | 2 | 2 |
| 4 | Adam Gaudette | Owen Beck | Jonny Brodzinski | 10 | 2 | 1 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Adam Boqvist | Matthew Kessel | 40 | 2 | 2 | 1 | |
| 2 | Timothy Liljegren | Connor Clifton | 30 | 2 | 2 | 1 | |
| 3 | Henri Jokiharju | Tyler Myers | 20 | 2 | 2 | 1 | |
| 4 | Connor Clifton | Tyler Myers | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Anthony Duclair | Ridly Greig | Joel Kiviranta | 60 | 2 | 2 | 1 |
| 2 | Anthony Beauvillier | David Perron | Pius Suter | 40 | 2 | 1 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Matthew Kessel | Timothy Liljegren | 60 | 1 | 3 | 1 | |
| 2 | Adam Boqvist | Henri Jokiharju | 40 | 1 | 3 | 1 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Anthony Beauvillier | Martin Pospisil | 60 | 1 | 1 | 3 |
| 2 | Owen Beck | Ridly Greig | 40 | 1 | 1 | 3 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Connor Clifton | Matthew Kessel | 60 | 1 | 1 | 3 |
| 2 | Adam Boqvist | Henri Jokiharju | 40 | 2 | 1 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Anthony Beauvillier | 60 | 1 | 2 | 2 | Connor Clifton | Tyler Myers | 60 | 1 | 2 | 2 |
| 2 | Martin Pospisil | 40 | 1 | 2 | 2 | Adam Boqvist | Henri Jokiharju | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Anthony Beauvillier | Martin Pospisil | 60 | 1 | 2 | 2 |
| 2 | Ridly Greig | Anthony Duclair | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Connor Clifton | Tyler Myers | 60 | 1 | 2 | 2 |
| 2 | Adam Boqvist | Henri Jokiharju | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Martin Pospisil | Anthony Beauvillier | Ridly Greig | Henri Jokiharju | Timothy Liljegren |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Martin Pospisil | Owen Beck | Ridly Greig | Timothy Liljegren | Tyler Myers |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Anthony Beauvillier, Anthony Duclair, Yakov Trenin | Adam Gaudette, Anthony Duclair | Yakov Trenin |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Timothy Liljegren, Matthew Kessel, Adam Boqvist | Timothy Liljegren | Matthew Kessel, Adam Boqvist |
| Tirs de pénalité |
|---|
| Anthony Beauvillier, Martin Pospisil, Ridly Greig, Anthony Duclair, Joel Kiviranta |
| Gardien |
|---|
| #1 : Alex Nedeljkovic, #2 : Elvis Merzlikins |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Anthony Beauvillier, Martin Pospisil, Pius Suter, Anthony Duclair, Joel Kiviranta, David Perron, David Perron, Ridly Greig, Garnet Hathaway, Yakov Trenin, Owen Beck |
| Lignes de défense personnalisées en prolongation |
|---|
| Connor Clifton, Tyler Myers, Adam Boqvist, Henri Jokiharju, Timothy Liljegren |
| 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 | 6000 | 5000 | 2000 | 4000 | 1000 |
| Prix des billets | 100 | 60 | 35 | 25 | 200 |
| 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 |
| 83 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
| Dépenses | ||||
|---|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
| 0$ | 61,449,166$ | 61,436,666$ | 2,500,000$0$ | 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$ | 23 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 13 | 0$ | 0$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 0$ | 71,583,781$ | 71,583,781$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 0$ | 100,500,000$ | 100,500,000$ | -50,500,000$ |
| 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 |
|---|---|---|---|---|---|---|
| Aron Dahlqvist | Seattle Monsters | 2025 | 172 | |||
| Ashton Schultz | Seattle Monsters | 2025 | 181 | |||
| Brandon Svoboda | Seattle Monsters | 2023 | 109 | 2025-10-23 | ||
| Carter Sanderson | Seattle Monsters | 2025 | 188 | |||
| Cole McKinney | Seattle Monsters | 2025 | 27 | |||
| Colin Ralph | Seattle Monsters | 2024 | 107 | 2024-12-31 | ||
| Eddie Genborg | Seattle Monsters | 2025 | 70 | 2026-01-22 | ||
| Ethan Procyszyn | Seattle Monsters | 2024 | 133 | 2025-06-18 | ||
| Gabriel Chiarot | Seattle Monsters | 2025 | 171 | |||
| Herman Träff | Seattle Monsters | 2024 | 91 | |||
| Jakob Ihs-Wozniak | Seattle Monsters | 2025 | 35 | 2025-11-12 | ||
| Jesse Kiiskinen | Seattle Monsters | 2023 | 76 | 2026-02-26 | ||
| Kaden Pitre | Seattle Monsters | 2024 | 163 | |||
| Kevin Bicker | Seattle Monsters | 2023 | 196 | |||
| Leo Sahlin Wallenius | Seattle Monsters | 2024 | 36 | 2026-02-26 | ||
| Liam Arnsby | Seattle Monsters | 0 | 0 | |||
| Luke Coughlin | Seattle Monsters | 2023 | 193 | |||
| Matteo Mann | Seattle Monsters | 2023 | 192 | |||
| Mikhail Fyodorov | Seattle Monsters | 2025 | 136 | |||
| Owen Beckner | Seattle Monsters | 2023 | 206 | 2026-02-14 | ||
| Sam O'Reilly | Seattle Monsters | 2024 | 22 | 2026-01-22 | ||
| Spencer Gill | Seattle Monsters | 2024 | 77 | 2026-01-22 | ||
| Tory Pitner | Seattle Monsters | 2024 | 172 | |||
| Vinzenz Rohrer | Seattle Monsters | 0 | 0 | 2025-11-12 | ||
| William Moore | Seattle Monsters | 2025 | 34 | 2025-10-29 | ||
| Yegor Rimashevskiy | Seattle Monsters | 2023 | 191 | |||
| Yegor Yegorov | Seattle Monsters | 2023 | 224 | |||
| Zaccharya Wisdom | Seattle Monsters | 2023 | 190 |
| Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 2026 | SEA | SAC | UTA MTL OTT | BAL | JAX MIN | ||
| 2027 | SEA | CGY OTT SEA | VEG SEA | SEA | |||
| 2028 | SEA | SEA | SEA | ||||
| 2029 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
| 2030 | SEA | SEA | SEA | SEA | SEA | SEA | SEA |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anthony Duclair | 664 | 100 | 196 | 296 | -80 | 64 | 404 | 816 | 1192 | 8.39% | 68 | 9887 | 14.89 | 20 | 44 | 64 | 172 | 0 | 0 | 0 | 0 | 24 | 4 | 38.14% | 0 | 0.60 | 0 | 8 |
| 2 | Ridly Greig | 632 | 100 | 168 | 268 | -68 | 200 | 824 | 944 | 1184 | 8.45% | 88 | 11129 | 17.61 | 8 | 48 | 56 | 96 | 0 | 0 | 0 | 24 | 8 | 4 | 48.09% | 0 | 0.48 | 16 | 32 |
| 3 | David Perron | 627 | 101 | 149 | 250 | -37 | 180 | 529 | 652 | 1007 | 10.03% | 69 | 9177 | 14.64 | 12 | 21 | 33 | 91 | 0 | 0 | 0 | 0 | 9 | 8 | 41.48% | 4 | 0.54 | 0 | 0 |
| 4 | Pius Suter | 611 | 101 | 146 | 247 | -69 | 94 | 324 | 776 | 1080 | 9.35% | 86 | 8730 | 14.29 | 15 | 28 | 43 | 164 | 0 | 0 | 0 | 0 | 14 | 4 | 48.40% | 0 | 0.57 | 4 | 4 |
| 5 | Connor Clifton | 664 | 36 | 196 | 232 | -140 | 856 | 1596 | 440 | 392 | 9.18% | 844 | 13201 | 19.88 | 4 | 8 | 12 | 24 | 0 | 0 | 0 | 12 | 4 | 0 | 0% | 0 | 0.35 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Elvis Merzlikins | 309 | 165 | 118 | 17 | 0.896 | 2.90 | 18179 | 34 | 15 | 877 | 8418 | 0 | 13 | 5 | 0.913 | 92 |
| 2 | Alex Nedeljkovic | 456 | 160 | 272 | 24 | 0.887 | 3.08 | 27396 | 16 | 16 | 1408 | 12492 | 0 | 4 | 12 | 0.833 | 120 |
| 3 | John Gibson | 60 | 22 | 29 | 2 | 0.889 | 3.10 | 3330 | 2 | 1 | 172 | 1548 | 0 | 2 | 1 | 0 | 0 |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2024 | 164 | 60 | 72 | 12 | 13 | 7 | 0 | 0 | 494 | 533 | -39 | 82 | 34 | 36 | 6 | 4 | 2 | 0 | 0 | 248 | 255 | -7 | 82 | 26 | 36 | 6 | 9 | 5 | 0 | 0 | 246 | 278 | -32 | 165 | 494 | 890 | 1384 | 1 | 6 | 189 | 142 | 150 | 13 | 4646 | 1523 | 1532 | 1527 | 64 | 4859 | 1477 | 1098 | 3113 | 462 | 107 | 23.16% | 475 | 109 | 77.05% | 3 | 2574 | 5333 | 48.27% | 2664 | 5651 | 47.14% | 1288 | 2638 | 48.82% | 3754 | 2592 | 4085 | 1212 | 2106 | 1029 |
| 2025 | 166 | 52 | 78 | 0 | 8 | 8 | 14 | 6 | 409 | 504 | -95 | 83 | 27 | 38 | 0 | 5 | 4 | 6 | 3 | 210 | 246 | -36 | 83 | 25 | 40 | 0 | 3 | 4 | 8 | 3 | 199 | 258 | -59 | 162 | 409 | 724 | 1133 | 4 | 8 | 137 | 141 | 109 | 31 | 4084 | 1242 | 1391 | 1368 | 148 | 4594 | 1357 | 1149 | 3122 | 422 | 62 | 14.69% | 518 | 99 | 80.89% | 3 | 2365 | 4947 | 47.81% | 2710 | 5547 | 48.86% | 1191 | 2467 | 48.28% | 3826 | 2640 | 4152 | 1227 | 2119 | 1032 |
| 2025 | 166 | 52 | 78 | 0 | 8 | 8 | 14 | 6 | 409 | 504 | -95 | 83 | 27 | 38 | 0 | 5 | 4 | 6 | 3 | 210 | 246 | -36 | 83 | 25 | 40 | 0 | 3 | 4 | 8 | 3 | 199 | 258 | -59 | 162 | 409 | 724 | 1133 | 4 | 8 | 137 | 141 | 109 | 31 | 4084 | 1242 | 1391 | 1368 | 148 | 4594 | 1357 | 1149 | 3122 | 422 | 62 | 14.69% | 518 | 99 | 80.89% | 3 | 2365 | 4947 | 47.81% | 2710 | 5547 | 48.86% | 1191 | 2467 | 48.28% | 3826 | 2640 | 4152 | 1227 | 2119 | 1032 |
| Total Saison régulière | 496 | 164 | 228 | 12 | 29 | 23 | 28 | 12 | 1312 | 1541 | -229 | 248 | 88 | 112 | 6 | 14 | 10 | 12 | 6 | 668 | 747 | -79 | 248 | 76 | 116 | 6 | 15 | 13 | 16 | 6 | 644 | 794 | -150 | 489 | 1312 | 2338 | 3650 | 9 | 22 | 463 | 424 | 368 | 75 | 12814 | 4007 | 4314 | 4263 | 360 | 14047 | 4191 | 3396 | 9357 | 1306 | 231 | 17.69% | 1511 | 307 | 79.68% | 9 | 7304 | 15227 | 47.97% | 8084 | 16745 | 48.28% | 3670 | 7572 | 48.47% | 11408 | 7874 | 12390 | 3667 | 6345 | 3095 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2024 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 20 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 10 | 16 | 26 | 0 | 0 | 4 | 3 | 3 | 0 | 131 | 49 | 42 | 40 | 0 | 162 | 43 | 36 | 101 | 17 | 1 | 5.88% | 16 | 2 | 87.50% | 0 | 62 | 163 | 38.04% | 85 | 190 | 44.74% | 29 | 80 | 36.25% | 107 | 71 | 129 | 39 | 63 | 29 |
| Total Séries éliminatoires | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 20 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 10 | 16 | 26 | 0 | 0 | 4 | 3 | 3 | 0 | 131 | 49 | 42 | 40 | 0 | 162 | 43 | 36 | 101 | 17 | 1 | 5.88% | 16 | 2 | 87.50% | 0 | 62 | 163 | 38.04% | 85 | 190 | 44.74% | 29 | 80 | 36.25% | 107 | 71 | 129 | 39 | 63 | 29 |
| # | 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 | David Perron | 5 | 1 | 2 | 3 | -3 | 4 | 3 | 4 | 7 | 14.29% | 0 | 98 | 19.63 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0.61 | 0 | 0 |
| 2 | Seth Jones | 5 | 0 | 2 | 2 | -4 | 4 | 11 | 4 | 7 | 0% | 7 | 100 | 20.16 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0.40 | 0 | 0 |
| 3 | Brandon Carlo | 5 | 1 | 1 | 2 | -3 | 2 | 16 | 10 | 5 | 20.00% | 4 | 99 | 19.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0.40 | 0 | 0 |
| 4 | Yakov Trenin | 5 | 2 | 0 | 2 | 0 | 0 | 1 | 5 | 4 | 50.00% | 0 | 54 | 10.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 0 | 0.74 | 0 | 0 |
| 5 | Jaden Schwartz | 5 | 0 | 2 | 2 | -1 | 0 | 4 | 9 | 6 | 0% | 1 | 56 | 11.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0.71 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Elvis Merzlikins | 5 | 1 | 4 | 0 | 0.877 | 4.00 | 300 | 2 | 0 | 20 | 162 | 0 | 0 | 0 | 0 | 0 |