 | Marlies |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Joël Durocher | Morale : 90 | Moyenne d’équipe : 55 |
|
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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 | Jimmy Vesey | X | 100.00 | 62 | 45 | 95 | 77 | 70 | 53 | 52 | 53 | 30 | 46 | 60 | 56 | 66 | 91 | 79 | 0 | 90 | 57 | 0 | 32 | 1 | 1,000,000$ | ||||
| 2 | Valtteri Puustinen (R) | X | 100.00 | 57 | 45 | 90 | 80 | 51 | 50 | 40 | 51 | 30 | 44 | 58 | 65 | 65 | 85 | 72 | 0 | 90 | 56 | 0 | 26 | 2 | 900,000$ | ||||
| 3 | Lucas Condotta | X | 100.00 | 57 | 45 | 95 | 73 | 75 | 50 | 40 | 47 | 30 | 40 | 54 | 61 | 50 | 87 | 74 | 0 | 90 | 55 | 0 | 27 | 1 | 775,000$ | ||||
| 4 | Andreas Athanasiou | X | 100.00 | 52 | 45 | 95 | 77 | 63 | 50 | 40 | 47 | 30 | 40 | 54 | 65 | 50 | 90 | 77 | 0 | 90 | 55 | X | 0 | 31 | 2 | 2,250,000$ | |||
| 5 | Jesse Ylonen | X | 100.00 | 50 | 45 | 89 | 77 | 67 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 71 | 0 | 90 | 53 | 0 | 25 | 5 | 900,000$ | ||||
| 6 | Tim Washe (R) | X | 100.00 | 50 | 45 | 95 | 74 | 79 | 50 | 40 | 45 | 30 | 40 | 50 | 57 | 50 | 83 | 70 | 0 | 90 | 53 | 0 | 24 | 5 | 3,000,000$ | ||||
| 7 | Alexander Nylander | X | 100.00 | 50 | 45 | 90 | 75 | 69 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 74 | 0 | 90 | 53 | 0 | 27 | 5 | 900,000$ | ||||
| 8 | Oskar Lindblom | X | 100.00 | 50 | 45 | 95 | 77 | 63 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 76 | 0 | 90 | 53 | 0 | 29 | 2 | 2,800,000$ | ||||
| 9 | German Rubtsov (R) | X | 100.00 | 50 | 45 | 95 | 79 | 59 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 3 | 750,000$ | ||||
| 10 | Tyler Benson | X | 100.00 | 50 | 45 | 95 | 77 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 2 | 850,000$ | ||||
| 11 | Justin Richards (R) | X | 100.00 | 50 | 45 | 95 | 77 | 59 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 73 | 0 | 90 | 52 | 0 | 27 | 3 | 750,000$ | ||||
| 12 | Hunter McKown (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 80 | 69 | 0 | 90 | 52 | 0 | 23 | 1 | 2,650,000$ | ||||
| 13 | Jacob Moverare (R) | X | 100.00 | 60 | 45 | 89 | 77 | 70 | 50 | 59 | 52 | 30 | 52 | 53 | 64 | 66 | 86 | 74 | 0 | 90 | 62 | 0 | 27 | 4 | 775,000$ | ||||
| 14 | Marc Staal | X | 100.00 | 50 | 45 | 84 | 76 | 72 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 97 | 85 | 0 | 90 | 58 | 0 | 38 | 2 | 1,200,000$ | ||||
| 15 | Caleb Jones | X | 100.00 | 57 | 45 | 92 | 77 | 58 | 52 | 40 | 45 | 30 | 40 | 50 | 56 | 50 | 87 | 75 | 0 | 90 | 57 | 0 | 28 | 2 | 1,500,000$ | ||||
| 16 | Mattias Norlinder (R) | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 56 | 0 | 25 | 3 | 900,000$ | ||||
| 17 | Filip Roos (R) | X | 100.00 | 50 | 45 | 95 | 77 | 63 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 74 | 0 | 90 | 56 | 0 | 26 | 1 | 825,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Fredrik Karlstrom (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 4 | 775,000$ | ||||
| 2 | Chase Bradley (R) | X | 100.00 | 50 | 45 | 95 | 78 | 52 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 52 | 0 | 23 | 6 | 900,000$ | ||||
| 3 | Arnaud Durandeau (R) | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 74 | 0 | 90 | 52 | 0 | 26 | 2 | 2,000,000$ | ||||
| 4 | Brandon Gignac (R) | X | 100.00 | 50 | 45 | 95 | 80 | 48 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 75 | 0 | 90 | 52 | 0 | 27 | 3 | 750,000$ | ||||
| 5 | Jon Merrill | X | 100.00 | 59 | 45 | 87 | 76 | 67 | 59 | 85 | 49 | 30 | 45 | 54 | 67 | 50 | 93 | 81 | 0 | 90 | 64 | 0 | 33 | 5 | 995,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 52 | 45 | 93 | 77 | 63 | 51 | 43 | 46 | 30 | 41 | 52 | 57 | 52 | 86 | 74 | 0 | 90 | 55 | ||||||||||
| 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 | Joel Blomqvist (R) | 100.00 | 70 | 50 | 71 | 88 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 83 | 73 | 0 | 90 | 62 | 0 | 23 | 5 | 975,000$ | |
| 2 | Michael Dipietro (R) | 100.00 | 70 | 40 | 40 | 86 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 82 | 69 | 0 | 90 | 57 | 0 | 26 | 1 | 850,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Hugo Alnefelt (R) | 100.00 | 70 | 40 | 40 | 81 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 80 | 67 | 0 | 90 | 57 | 0 | 24 | 4 | 850,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 43 | 50 | 85 | 67 | 67 | 67 | 67 | 67 | 67 | 67 | 82 | 70 | 0 | 90 | 59 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Manny Malhotra | 65 | 65 | 65 | 65 | 77 | 82 | 86 | CAN | 45 | 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Nylander | Marlies (TOR) | LW | 27 | 1998-03-02 | SWE | No | 192 Lbs | 6 ft1 | No | No | Trade | 2025-03-30 | 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 | - | - | - | - | - | ||
| Andreas Athanasiou | Marlies (TOR) | RW | 31 | 1994-08-06 | CAN | No | 190 Lbs | 6 ft2 | No | Yes | Assign Manually | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 2,250,000$ | 0$ | 0$ | No | 2,250,000$ | - | - | - | - | - | - | - | - | 2,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | ||
| Arnaud Durandeau | Marlies (TOR) | LW | 26 | 1999-01-14 | CAN | Yes | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Brandon Gignac | Marlies (TOR) | LW | 27 | 1997-11-07 | CAN | Yes | 170 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | 2025-09-11 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
| Caleb Jones | Marlies (TOR) | D | 28 | 1997-06-06 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 1,500,000$ | 0$ | 0$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | ||
| Chase Bradley | Marlies (TOR) | LW | 23 | 2002-01-09 | USA | Yes | 180 Lbs | 5 ft11 | No | No | Prospect | No | No | 6 | 2025-10-05 | 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$ | 900,000$ | 900,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien NHL | ||
| Filip Roos | Marlies (TOR) | D | 26 | 1999-01-05 | SWE | Yes | 190 Lbs | 6 ft4 | No | No | Trade | 2025-11-14 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Fredrik Karlstrom | Marlies (TOR) | C | 27 | 1998-01-12 | SWE | Yes | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2025-09-11 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | ||
| German Rubtsov | Marlies (TOR) | C | 27 | 1998-06-27 | RUS | Yes | 178 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-09-11 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Hugo Alnefelt | Marlies (TOR) | G | 24 | 2001-06-04 | SWE | Yes | 177 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2025-09-11 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | 850,000$ | - | - | - | - | - | - | 850,000$ | 850,000$ | 850,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Hunter McKown | Marlies (TOR) | C | 23 | 2002-08-18 | USA | Yes | 205 Lbs | 6 ft1 | No | No | Trade | 2025-03-20 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 2,650,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Jacob Moverare | Marlies (TOR) | D | 27 | 1998-08-31 | SWE | Yes | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2025-09-11 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | ||
| Jesse Ylonen | Marlies (TOR) | RW | 25 | 1999-10-03 | FIN | No | 200 Lbs | 6 ft1 | No | No | Trade | 2025-03-20 | 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 | |
| Jimmy Vesey | Marlies (TOR) | LW | 32 | 1993-05-26 | USA | No | 200 Lbs | 6 ft2 | No | No | Trade | 2025-01-12 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Joel Blomqvist | Marlies (TOR) | G | 23 | 2002-01-10 | FIN | Yes | 200 Lbs | 6 ft3 | No | No | Trade | 2025-09-18 | No | No | 5 | 2025-09-18 | False | False | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | 975,000$ | 975,000$ | 975,000$ | - | - | - | - | - | 975,000$ | 975,000$ | 975,000$ | 975,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Jon Merrill | Marlies (TOR) | D | 33 | 1992-02-03 | USA | No | 204 Lbs | 6 ft3 | No | No | Trade | 2026-01-11 | No | No | 5 | 2025-09-11 | False | False | Pro & Farm | 995,000$ | 0$ | 0$ | No | 995,000$ | 995,000$ | 995,000$ | 995,000$ | - | - | - | - | - | 995,000$ | 995,000$ | 995,000$ | 995,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Justin Richards | Marlies (TOR) | C | 27 | 1998-03-17 | USA | Yes | 190 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | 2025-09-11 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Lucas Condotta | Marlies (TOR) | LW | 27 | 1997-11-06 | CAN | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Marc Staal | Marlies (TOR) | D | 38 | 1987-01-13 | CAN | No | 208 Lbs | 6 ft4 | No | No | Trade | 2025-06-08 | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Mattias Norlinder | Marlies (TOR) | D | 25 | 2000-04-12 | SWE | Yes | 185 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2025-11-19 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | 775,000$ | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Michael Dipietro | Marlies (TOR) | G | 26 | 1999-06-09 | CAN | Yes | 200 Lbs | 6 ft0 | No | No | Trade | 2025-03-20 | No | No | 1 | 2025-09-11 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Oskar Lindblom | Marlies (TOR) | RW | 29 | 1996-08-15 | SWE | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 2,800,000$ | 0$ | 0$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 2,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Tim Washe | Marlies (TOR) | C | 24 | 2001-08-25 | USA | Yes | 215 Lbs | 6 ft3 | No | No | Trade | 2025-11-18 | No | No | 5 | 2025-09-25 | False | False | Pro & Farm | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Tyler Benson | Marlies (TOR) | RW | 27 | 1998-03-15 | CAN | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Valtteri Puustinen | Marlies (TOR) | LW | 26 | 1999-06-04 | FIN | Yes | 183 Lbs | 5 ft9 | No | No | Trade | 2025-03-20 | No | No | 2 | 2025-09-11 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 25 | 27.12 | 194 Lbs | 6 ft1 | 2.96 | 1,232,800$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 30 | 0 | 1 | 4 | |||
| 2 | Andreas Athanasiou | 30 | 1 | 1 | 3 | ||
| 3 | Lucas Condotta | Jesse Ylonen | 25 | 1 | 1 | 3 | |
| 4 | 15 | 1 | 1 | 3 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jacob Moverare | 35 | 1 | 3 | 1 | ||
| 2 | Marc Staal | 35 | 1 | 3 | 1 | ||
| 3 | Filip Roos | 30 | 1 | 4 | 0 | ||
| 4 | Jacob Moverare | 0 | 0 | 5 | 0 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 55 | 0 | 0 | 5 | |||
| 2 | Andreas Athanasiou | 45 | 0 | 0 | 5 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jacob Moverare | 55 | 0 | 4 | 1 | ||
| 2 | Marc Staal | 45 | 0 | 4 | 1 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 0 | 4 | 1 | ||
| 2 | 45 | 0 | 4 | 1 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jacob Moverare | 55 | 1 | 4 | 0 | |
| 2 | Marc Staal | 45 | 1 | 4 | 0 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 0 | 5 | 0 | Jacob Moverare | 55 | 0 | 5 | 0 | ||
| 2 | 45 | 0 | 5 | 0 | Marc Staal | 45 | 0 | 5 | 0 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 0 | 2 | 3 | ||
| 2 | 45 | 0 | 2 | 3 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jacob Moverare | 55 | 0 | 3 | 2 | |
| 2 | Marc Staal | 45 | 0 | 3 | 2 | |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Jacob Moverare | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Jacob Moverare | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Andreas Athanasiou, Lucas Condotta, | Andreas Athanasiou, Lucas Condotta | Andreas Athanasiou |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Filip Roos | , | |
| Tirs de pénalité |
|---|
| , , , , Andreas Athanasiou |
| 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 |
| 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 | 45 | 25 |
| 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$ | 3,082,000$ | 3,082,000$ | 2,500,000$0$ |
| 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
Husky
Igloos
Marmots
Rockets
Smirnoff Ice
TigersCats
Warriors
Xpress
Barracudas
Bayou
Chiwawa
Outlaws
Predateurs
Raptors
Sags
Scorpions
Snowbirds
Spartans
Supreme
Thugs
Twins
Vandals
Vipers
Wolves
