 | Husky |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: René-Karl Poirier | Morale : 90 | Moyenne d’équipe : 58 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Erik Haula | X | 100.00 | 79 | 48 | 80 | 82 | 58 | 74 | 83 | 57 | 83 | 52 | 63 | 68 | 67 | 94 | 86 | 0 | 90 | 67 | 0 | 34 | 5 | 1,250,000$ | ||||
| 2 | Mark Kastelic | X | 100.00 | 99 | 75 | 48 | 75 | 86 | 54 | 74 | 54 | 84 | 52 | 57 | 68 | 66 | 86 | 74 | 0 | 90 | 65 | 0 | 26 | 2 | 1,000,000$ | ||||
| 3 | Cole Koepke | X | 100.00 | 99 | 48 | 89 | 78 | 70 | 56 | 88 | 55 | 30 | 48 | 61 | 71 | 66 | 86 | 74 | 0 | 90 | 64 | 0 | 27 | 1 | 825,000$ | ||||
| 4 | Marc Gatcomb (R) | X | 100.00 | 99 | 48 | 87 | 79 | 66 | 50 | 47 | 54 | 30 | 42 | 67 | 62 | 66 | 85 | 72 | 0 | 90 | 60 | 0 | 26 | 4 | 900,000$ | ||||
| 5 | Ryan Winterton (R) | X | 100.00 | 68 | 45 | 92 | 79 | 56 | 54 | 40 | 47 | 30 | 44 | 50 | 55 | 50 | 81 | 69 | 0 | 90 | 54 | 0 | 22 | 1 | 900,000$ | ||||
| 6 | Alexandre Fortin (R) | X | 100.00 | 50 | 45 | 95 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 73 | 0 | 90 | 53 | 0 | 27 | 1 | 800,000$ | ||||
| 7 | Jayden Halbgewachs (R) | X | 100.00 | 50 | 45 | 95 | 80 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 73 | 0 | 90 | 53 | 0 | 28 | 5 | 800,000$ | ||||
| 8 | MacKenzie MacEachern | X | 100.00 | 50 | 45 | 95 | 77 | 66 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 90 | 77 | 0 | 90 | 53 | 0 | 31 | 1 | 800,000$ | ||||
| 9 | Semyon Der-Arguchintsev (R) | X | 100.00 | 50 | 45 | 95 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 82 | 69 | 0 | 90 | 52 | 0 | 25 | 1 | 800,000$ | ||||
| 10 | Nikolay Goldobin | X | 100.00 | 50 | 45 | 95 | 76 | 62 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 52 | 0 | 29 | 3 | 800,000$ | ||||
| 11 | Erik Gustafsson | X | 100.00 | 56 | 45 | 86 | 84 | 56 | 68 | 72 | 58 | 30 | 62 | 54 | 55 | 67 | 93 | 83 | 0 | 90 | 64 | 0 | 33 | 2 | 1,400,000$ | ||||
| 12 | Alexander Alexeyev | X | 100.00 | 56 | 45 | 95 | 72 | 82 | 67 | 40 | 45 | 30 | 40 | 50 | 60 | 50 | 85 | 75 | 0 | 90 | 60 | 0 | 25 | 4 | 950,000$ | ||||
| 13 | Maxwell Crozier (R) | X | 100.00 | 58 | 45 | 95 | 76 | 64 | 70 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 75 | 0 | 90 | 58 | 0 | 25 | 1 | 850,000$ | ||||
| 14 | Austin Strand (R) | X | 100.00 | 50 | 45 | 95 | 74 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 74 | 0 | 90 | 56 | 0 | 28 | 5 | 800,000$ | ||||
| 15 | Nicolas Meloche | X | 100.00 | 50 | 45 | 95 | 74 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 73 | 0 | 90 | 56 | 0 | 28 | 5 | 800,000$ | ||||
| 16 | Brady Keeper (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 74 | 0 | 90 | 56 | 0 | 28 | 5 | 800,000$ | ||||
| 17 | Victor Mete | X | 100.00 | 50 | 45 | 95 | 77 | 48 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 73 | 0 | 90 | 55 | 0 | 27 | 2 | 850,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 63 | 47 | 90 | 77 | 63 | 55 | 50 | 48 | 36 | 44 | 53 | 58 | 55 | 86 | 75 | 0 | 90 | 58 | ||||||||||
| 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 | Mads Sogaard (R) | 100.00 | 70 | 50 | 60 | 94 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 84 | 71 | 0 | 90 | 62 | 0 | 24 | 5 | 900,000$ | |
| 2 | Spencer Martin | 100.00 | 70 | 50 | 60 | 85 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 89 | 78 | 0 | 90 | 62 | 0 | 30 | 5 | 900,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Kaapo Kahkonen | 100.00 | 70 | 50 | 60 | 91 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 88 | 75 | 0 | 90 | 62 | 0 | 29 | 3 | 1,250,000$ | |
| 2 | Akira Schmid (R) | 100.00 | 70 | 50 | 60 | 86 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 84 | 72 | 0 | 90 | 61 | 0 | 25 | 2 | 1,025,000$ | |
| 3 | Trent Miner (R) | 100.00 | 70 | 50 | 60 | 83 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 83 | 70 | 0 | 90 | 61 | 0 | 24 | 5 | 900,000$ | |
| 4 | Chris Driedger | 100.00 | 70 | 40 | 40 | 90 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 89 | 76 | 0 | 90 | 58 | 0 | 31 | 1 | 850,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 48 | 57 | 88 | 69 | 69 | 69 | 69 | 69 | 69 | 69 | 86 | 74 | 0 | 90 | 61 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Glen Gulutzan | 65 | 65 | 65 | 65 | 86 | 77 | 68 | CAN | 54 | 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 |
|---|
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Akira Schmid | Husky (MTL) | G | 25 | 2000-05-12 | CHE | Yes | 205 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 1,025,000$ | 0$ | 0$ | No | 1,025,000$ | - | - | - | - | - | - | - | - | 1,025,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | ||
| Alexander Alexeyev | Husky (MTL) | D | 25 | 1999-11-15 | RUS | No | 213 Lbs | 6 ft4 | No | No | Trade | 2025-03-29 | No | No | 4 | 2025-09-11 | False | False | Pro & Farm | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | 950,000$ | - | - | - | - | - | - | 950,000$ | 950,000$ | 950,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
| Alexandre Fortin | Husky (MTL) | LW | 27 | 1997-10-12 | CAN | Yes | 172 Lbs | 6 ft0 | No | No | Trade | 2025-04-02 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Austin Strand | Husky (MTL) | D | 28 | 1997-02-17 | CAN | Yes | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | ||
| Brady Keeper | Husky (MTL) | D | 28 | 1996-10-12 | CAN | Yes | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
| Chris Driedger | Husky (MTL) | G | 31 | 1994-05-18 | CAN | No | 208 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Cole Koepke | Husky (MTL) | LW | 27 | 1998-05-17 | USA | No | 203 Lbs | 6 ft1 | No | No | Trade | 2025-09-15 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Erik Gustafsson | Husky (MTL) | D | 33 | 1992-03-14 | SWE | No | 189 Lbs | 6 ft1 | No | No | Trade | 2026-01-04 | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 1,400,000$ | 0$ | 0$ | No | 1,400,000$ | - | - | - | - | - | - | - | - | 1,400,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Erik Haula | Husky (MTL) | C | 34 | 1991-03-23 | FIN | No | 191 Lbs | 5 ft11 | No | No | Trade | 2025-03-26 | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 1,250,000$ | 0$ | 0$ | No | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | - | - | - | - | - | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Jayden Halbgewachs | Husky (MTL) | LW | 28 | 1997-03-22 | CAN | Yes | 160 Lbs | 5 ft8 | No | No | N/A | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
| Kaapo Kahkonen | Husky (MTL) | G | 29 | 1996-08-16 | FIN | No | 217 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-09-11 | False | False | Pro & Farm | 1,250,000$ | 0$ | 0$ | No | 1,250,000$ | 1,250,000$ | - | - | - | - | - | - | - | 1,250,000$ | 1,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
| MacKenzie MacEachern | Husky (MTL) | LW | 31 | 1994-03-09 | USA | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Mads Sogaard | Husky (MTL) | G | 24 | 2000-12-13 | DNK | Yes | 196 Lbs | 6 ft7 | No | No | N/A | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | ||
| Marc Gatcomb | Husky (MTL) | RW | 26 | 1999-07-22 | CAN | Yes | 195 Lbs | 6 ft2 | No | No | Draft | No | No | 4 | 2025-10-07 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | ||
| Mark Kastelic | Husky (MTL) | C | 26 | 1999-03-11 | USA | No | 226 Lbs | 6 ft4 | No | No | Trade | 2025-05-01 | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Maxwell Crozier | Husky (MTL) | D | 25 | 2000-04-19 | CAN | Yes | 197 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Nicolas Meloche | Husky (MTL) | D | 28 | 1997-07-18 | CAN | No | 211 Lbs | 6 ft3 | No | No | Trade | 2025-04-02 | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Nikolay Goldobin | Husky (MTL) | RW | 29 | 1995-10-07 | RUS | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Ryan Winterton | Husky (MTL) | C | 22 | 2003-09-04 | CAN | Yes | 175 Lbs | 6 ft2 | No | No | Trade | 2026-01-17 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Semyon Der-Arguchintsev | Husky (MTL) | C | 25 | 2000-09-15 | RUS | Yes | 173 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Spencer Martin | Husky (MTL) | G | 30 | 1995-06-08 | CAN | No | 191 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 5 | 2026-01-09 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | ||
| Trent Miner | Husky (MTL) | G | 24 | 2001-02-05 | CAN | Yes | 185 Lbs | 6 ft1 | No | No | Prospect | No | No | 5 | 2025-10-07 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | ||
| Victor Mete | Husky (MTL) | D | 27 | 1998-06-07 | CAN | No | 187 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 23 | 27.48 | 195 Lbs | 6 ft2 | 3.00 | 919,565$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Cole Koepke | 35 | 1 | 2 | 2 | ||
| 2 | MacKenzie MacEachern | 30 | 1 | 2 | 2 | ||
| 3 | Jayden Halbgewachs | Semyon Der-Arguchintsev | Alexandre Fortin | 25 | 1 | 2 | 2 |
| 4 | Alexandre Fortin | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Alexander Alexeyev | Maxwell Crozier | 35 | 1 | 2 | 2 | |
| 2 | Brady Keeper | Nicolas Meloche | 30 | 1 | 2 | 2 | |
| 3 | Austin Strand | Victor Mete | 25 | 1 | 2 | 2 | |
| 4 | Alexander Alexeyev | Maxwell Crozier | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Cole Koepke | 55 | 1 | 2 | 2 | ||
| 2 | MacKenzie MacEachern | 45 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Alexander Alexeyev | Maxwell Crozier | 55 | 1 | 2 | 2 | |
| 2 | Brady Keeper | Nicolas Meloche | 45 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | Cole Koepke | 45 | 1 | 2 | 2 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Alexander Alexeyev | Maxwell Crozier | 55 | 1 | 2 | 2 |
| 2 | Brady Keeper | Nicolas Meloche | 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 | Alexander Alexeyev | Maxwell Crozier | 55 | 1 | 2 | 2 | |
| 2 | 45 | 1 | 2 | 2 | Brady Keeper | Nicolas Meloche | 45 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | Cole Koepke | 45 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Alexander Alexeyev | Maxwell Crozier | 55 | 1 | 2 | 2 |
| 2 | Brady Keeper | Nicolas Meloche | 45 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Cole Koepke | Alexander Alexeyev | Maxwell Crozier | ||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Cole Koepke | Alexander Alexeyev | Maxwell Crozier | ||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jayden Halbgewachs, Semyon Der-Arguchintsev, MacKenzie MacEachern | Jayden Halbgewachs, Semyon Der-Arguchintsev | MacKenzie MacEachern |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Austin Strand, Victor Mete, Brady Keeper | Austin Strand | Victor Mete, Brady Keeper |
| Tirs de pénalité |
|---|
| , , Cole Koepke, , MacKenzie MacEachern |
| Gardien |
|---|
| #1 : , #2 : Mads Sogaard |
| 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 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0% | 0% |
| Assistance PCT | 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$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 2,115,000$ | 2,115,000$ | 1,000,000$0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 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 |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
Bandits
CoolFm
Farmers
Goons
Grizzlies
Hunters
Igloos
Marlies
Marmots
Rockets
Smirnoff Ice
TigersCats
Warriors
Xpress
Barracudas
Bayou
Chiwawa
Outlaws
Predateurs
Raptors
Sags
Scorpions
Snowbirds
Spartans
Supreme
Thugs
Twins
Vandals
Vipers
Wolves
