| CLEVELAND Monsters | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Jonathan Brisebois | Morale : 50 | Moyenne d’équipe : 61 |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Eric Staal | X | 100.00 | 61 | 43 | 69 | 65 | 66 | 73 | 77 | 69 | 59 | 65 | 64 | 65 | 65 | 92 | 80 | 0 | 51 | 66 | X | 0 | 41 | 1 | 1,100,000$ | ||||
| 2 | Elmer Soderblom (R) | X | 100.00 | 69 | 40 | 80 | 65 | 92 | 78 | 67 | 68 | 47 | 65 | 63 | 64 | 65 | 57 | 50 | 0 | 50 | 65 | 0 | 24 | 1 | 878,333$ | |||||
| 3 | Emil Heineman (R) | X | 100.00 | 74 | 41 | 80 | 72 | 76 | 74 | 69 | 68 | 41 | 64 | 65 | 64 | 68 | 55 | 50 | 0 | 50 | 65 | 0 | 24 | 1 | 897,500$ | |||||
| 4 | Nikita Nesterenko (R) | X | X | 100.00 | 66 | 41 | 73 | 72 | 77 | 76 | 64 | 67 | 46 | 62 | 63 | 62 | 67 | 56 | 50 | 0 | 50 | 64 | 0 | 24 | 3 | 866,250$ | ||||
| 5 | Tanner Kero (A) | X | X | 100.00 | 59 | 42 | 71 | 69 | 62 | 72 | 71 | 64 | 51 | 63 | 57 | 63 | 64 | 66 | 57 | 0 | 86 | 63 | X | 0 | 33 | 1 | 852,500$ | |||
| 6 | Brett Seney | X | 100.00 | 52 | 46 | 63 | 68 | 52 | 70 | 69 | 64 | 47 | 65 | 58 | 55 | 63 | 59 | 54 | 0 | 50 | 60 | X | 0 | 29 | 1 | 852,500$ | ||||
| 7 | Aidan Dudas | X | 100.00 | 53 | 43 | 68 | 71 | 53 | 65 | 64 | 63 | 42 | 60 | 56 | 53 | 63 | 51 | 50 | 0 | 86 | 59 | X | 0 | 25 | 2 | 935,000$ | ||||
| 8 | Josiah Slavin | X | 100.00 | 58 | 42 | 70 | 63 | 64 | 68 | 66 | 61 | 43 | 56 | 55 | 54 | 60 | 54 | 50 | 0 | 50 | 58 | X | 0 | 27 | 1 | 775,000$ | ||||
| 9 | Dalibor Dvorský (R) | X | 100.00 | 60 | 41 | 67 | 62 | 63 | 58 | 57 | 62 | 42 | 61 | 60 | 55 | 62 | 50 | 50 | 0 | 50 | 58 | 0 | 20 | 2 | 918,333$ | |||||
| 10 | Nolan Allan (R) | X | 100.00 | 68 | 41 | 77 | 71 | 75 | 76 | 67 | 66 | 40 | 63 | 60 | 70 | 66 | 52 | 50 | 0 | 50 | 66 | 0 | 22 | 1 | 825,000$ | |||||
| 11 | Matt Benning | X | 100.00 | 61 | 44 | 71 | 68 | 70 | 76 | 71 | 62 | 40 | 58 | 55 | 70 | 62 | 80 | 61 | 0 | 50 | 65 | X | 0 | 31 | 3 | 1,375,000$ | ||||
| 12 | Cale Fleury (A) | X | 100.00 | 66 | 41 | 72 | 67 | 69 | 67 | 64 | 64 | 40 | 62 | 57 | 68 | 63 | 65 | 51 | 0 | 50 | 64 | X | 0 | 27 | 2 | 890,000$ | ||||
| 13 | Owen Pickering (R) | X | 100.00 | 58 | 40 | 74 | 69 | 77 | 75 | 62 | 64 | 40 | 61 | 61 | 66 | 65 | 51 | 50 | 0 | 50 | 64 | 0 | 21 | 1 | 918,333$ | |||||
| 14 | William Trudeau (R) | X | 100.00 | 65 | 47 | 63 | 67 | 65 | 63 | 62 | 64 | 40 | 60 | 56 | 67 | 63 | 50 | 50 | 0 | 50 | 62 | 0 | 23 | 1 | 856,667$ | |||||
| 15 | Max Szuber (R) | X | 100.00 | 63 | 44 | 65 | 67 | 65 | 64 | 62 | 64 | 40 | 63 | 57 | 67 | 63 | 50 | 50 | 0 | 50 | 62 | 0 | 23 | 1 | 859,167$ | |||||
| 16 | Michael Karow | X | 100.00 | 63 | 47 | 63 | 65 | 66 | 68 | 66 | 62 | 40 | 56 | 53 | 67 | 60 | 54 | 50 | 0 | 50 | 61 | X | 0 | 27 | 1 | 852,500$ | ||||
| 17 | Adam Ginning (R) | X | 100.00 | 63 | 49 | 60 | 64 | 68 | 66 | 65 | 63 | 40 | 59 | 53 | 65 | 60 | 53 | 50 | 0 | 50 | 61 | X | 0 | 25 | 2 | 935,000$ | ||||
| 18 | Luke Prokop (R) | X | 100.00 | 67 | 40 | 69 | 60 | 73 | 61 | 58 | 56 | 40 | 52 | 52 | 64 | 56 | 51 | 50 | 0 | 50 | 59 | 0 | 23 | 1 | 750,000$ | |||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Jeffrey Truchon-Viel | X | 100.00 | 59 | 65 | 72 | 58 | 74 | 87 | 89 | 57 | 53 | 56 | 56 | 55 | 58 | 65 | 63 | 0 | 86 | 61 | X | 0 | 28 | 0 | 0$ | ||||
| 2 | Jacob Melanson (R) | X | 100.00 | 63 | 46 | 62 | 62 | 66 | 63 | 61 | 60 | 42 | 54 | 54 | 56 | 59 | 50 | 50 | 0 | 50 | 57 | 0 | 22 | 1 | 826,111$ | |||||
| 3 | Trevor Kuntar (R) | X | 100.00 | 60 | 53 | 57 | 62 | 64 | 65 | 63 | 61 | 47 | 55 | 54 | 54 | 59 | 52 | 50 | 0 | 50 | 57 | 0 | 24 | 3 | 935,000$ | |||||
| 4 | Jacob Perreault | X | 100.00 | 56 | 45 | 64 | 62 | 65 | 63 | 62 | 59 | 42 | 56 | 53 | 51 | 58 | 51 | 50 | 0 | 50 | 56 | X | 0 | 23 | 2 | 950,000$ | ||||
| 5 | Jake Bischoff | X | 100.00 | 53 | 42 | 70 | 65 | 62 | 71 | 70 | 64 | 40 | 61 | 54 | 61 | 61 | 63 | 59 | 0 | 50 | 61 | X | 0 | 31 | 0 | 0$ | ||||
| 6 | Alex Green | X | 100.00 | 58 | 46 | 67 | 65 | 65 | 64 | 62 | 59 | 40 | 52 | 53 | 60 | 59 | 54 | 50 | 0 | 20 | 58 | X | 0 | 27 | 1 | 852,500$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 61 | 45 | 69 | 66 | 68 | 69 | 66 | 63 | 43 | 60 | 57 | 62 | 62 | 58 | 53 | 0 | 53 | 61 | |||||||||||
| 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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Rasmus Korhonen (R) | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 22 | 61 | X | 0 | 23 | 3 | 935,000$ | |
| 2 | Will Cranley | 100.00 | 59 | 57 | 57 | 63 | 59 | 57 | 56 | 54 | 57 | 59 | 54 | 51 | 50 | 0 | 50 | 53 | X | 0 | 23 | 2 | 926,000$ | |
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 62 | 63 | 62 | 76 | 62 | 60 | 61 | 59 | 60 | 62 | 59 | 56 | 57 | 0 | 36 | 57 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jay Woodcroft | 80 | 77 | 79 | 75 | 74 | 67 | 1 | CAN | 48 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Ginning | CLEVELAND Monsters (CLB) | D | 25 | 2000-01-13 | SWE | Yes | 205 Lbs | 6 ft4 | No | Yes | N/A | No | No | 2 | 2025-10-18 | False | False | Pro & Farm | 935,000$ | 935,000$ | 0$ | 0$ | No | 935,000$ | - | - | - | - | - | - | - | - | 935,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Aidan Dudas | CLEVELAND Monsters (CLB) | LW | 25 | 2000-06-15 | CAN | No | 161 Lbs | 5 ft8 | No | Yes | N/A | No | No | 2 | 2025-10-18 | False | False | Pro & Farm | 935,000$ | 935,000$ | 0$ | 0$ | No | 935,000$ | - | - | - | - | - | - | - | - | 935,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Alex Green | CLEVELAND Monsters (CLB) | D | 27 | 1998-06-18 | USA | No | 197 Lbs | 6 ft2 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 852,500$ | 852,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Brett Seney | CLEVELAND Monsters (CLB) | LW | 29 | 1996-02-29 | CAN | No | 157 Lbs | 5 ft9 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 852,500$ | 852,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Cale Fleury | CLEVELAND Monsters (CLB) | D | 27 | 1998-11-19 | CAN | No | 214 Lbs | 6 ft1 | No | Yes | N/A | No | No | 2 | 2025-10-18 | False | False | Pro & Farm | 890,000$ | 890,000$ | 0$ | 0$ | No | 890,000$ | - | - | - | - | - | - | - | - | 890,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Dalibor Dvorský | CLEVELAND Monsters (CLB) | RW | 20 | 2005-06-15 | SLV | Yes | 201 Lbs | 6 ft1 | No | No | Prospect | No | No | 2 | 2025-07-15 | False | False | Pro & Farm | 918,333$ | 918,333$ | 0$ | 0$ | No | 918,333$ | - | - | - | - | - | - | - | - | 918,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Elmer Soderblom | CLEVELAND Monsters (CLB) | LW | 24 | 2001-07-05 | SWE | Yes | 246 Lbs | 6 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 878,333$ | 878,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Emil Heineman | CLEVELAND Monsters (CLB) | LW | 24 | 2001-11-16 | SWE | Yes | 198 Lbs | 6 ft2 | No | No | Prospect | No | No | 1 | False | False | Pro & Farm | 897,500$ | 897,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Eric Staal | CLEVELAND Monsters (CLB) | C | 41 | 1984-10-29 | CAN | No | 195 Lbs | 6 ft4 | No | Yes | Free Agent | No | No | 1 | 2024-01-21 | False | False | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jacob Melanson | CLEVELAND Monsters (CLB) | RW | 22 | 2003-04-22 | CAN | Yes | 205 Lbs | 6 ft1 | No | No | Prospect | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 826,111$ | 826,111$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jacob Perreault | CLEVELAND Monsters (CLB) | RW | 23 | 2002-04-15 | CAN | No | 196 Lbs | 6 ft0 | No | Yes | N/A | No | No | 2 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | ||
| Jake Bischoff | CLEVELAND Monsters (CLB) | D | 31 | 1994-07-25 | USA | No | 187 Lbs | 6 ft1 | No | Yes | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
| Jeffrey Truchon-Viel | CLEVELAND Monsters (CLB) | LW | 28 | 1997-01-28 | CAN | No | 197 Lbs | 6 ft0 | No | Yes | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
| Josiah Slavin | CLEVELAND Monsters (CLB) | LW | 27 | 1998-12-31 | USA | No | 190 Lbs | 6 ft3 | No | Yes | N/A | No | No | 1 | 2025-10-18 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Luke Prokop | CLEVELAND Monsters (CLB) | D | 23 | 2002-05-06 | CAN | Yes | 220 Lbs | 6 ft6 | No | No | Prospect | No | No | 1 | 2025-08-22 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Matt Benning | CLEVELAND Monsters (CLB) | D | 31 | 1994-05-25 | CAN | No | 203 Lbs | 6 ft1 | No | Yes | N/A | No | No | 3 | False | False | Pro & Farm | 1,375,000$ | 1,375,000$ | 0$ | 0$ | No | 1,375,000$ | 1,375,000$ | - | - | - | - | - | - | - | 1,375,000$ | 1,375,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
| Max Szuber | CLEVELAND Monsters (CLB) | D | 23 | 2002-08-25 | GER | Yes | 190 Lbs | 6 ft3 | No | No | Prospect | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 859,167$ | 859,167$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Michael Karow | CLEVELAND Monsters (CLB) | D | 27 | 1998-12-18 | USA | No | 201 Lbs | 6 ft2 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 852,500$ | 852,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
| Nikita Nesterenko | CLEVELAND Monsters (CLB) | C/LW | 24 | 2001-09-10 | USA | Yes | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-10-18 | False | False | Pro & Farm | 866,250$ | 866,250$ | 0$ | 0$ | No | 866,250$ | 866,250$ | - | - | - | - | - | - | - | 866,250$ | 866,250$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Nolan Allan | CLEVELAND Monsters (CLB) | D | 22 | 2003-04-28 | CAN | Yes | 195 Lbs | 6 ft2 | No | No | Prospect | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Owen Pickering | CLEVELAND Monsters (CLB) | D | 21 | 2004-01-27 | CAN | Yes | 200 Lbs | 6 ft5 | No | No | Prospect | No | No | 1 | False | False | Pro & Farm | 918,333$ | 918,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Rasmus Korhonen | CLEVELAND Monsters (CLB) | G | 23 | 2002-10-22 | FIN | Yes | 194 Lbs | 6 ft5 | No | Yes | N/A | No | No | 3 | 2025-10-18 | False | False | Pro & Farm | 935,000$ | 935,000$ | 0$ | 0$ | No | 935,000$ | 935,000$ | - | - | - | - | - | - | - | 935,000$ | 935,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Tanner Kero | CLEVELAND Monsters (CLB) | C/LW | 33 | 1992-07-24 | USA | No | 185 Lbs | 6 ft0 | No | Yes | Free Agent | No | No | 1 | 2024-01-21 | False | False | Pro & Farm | 852,500$ | 852,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Trevor Kuntar | CLEVELAND Monsters (CLB) | C | 24 | 2001-06-20 | USA | Yes | 196 Lbs | 6 ft0 | No | No | Prospect | No | No | 3 | 2025-10-18 | False | False | Pro & Farm | 935,000$ | 935,000$ | 0$ | 0$ | No | 935,000$ | 935,000$ | - | - | - | - | - | - | - | 935,000$ | 935,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Will Cranley | CLEVELAND Monsters (CLB) | G | 23 | 2002-02-26 | CAN | No | 183 Lbs | 6 ft4 | No | Yes | N/A | No | No | 2 | False | False | Pro & Farm | 926,000$ | 926,000$ | 0$ | 0$ | No | 926,000$ | - | - | - | - | - | - | - | - | 926,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| William Trudeau | CLEVELAND Monsters (CLB) | D | 23 | 2002-10-11 | CAN | Yes | 205 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 856,667$ | 856,667$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 26 | 25.77 | 197 Lbs | 6 ft2 | 1.46 | 836,988$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Emil Heineman | 40 | 0 | 2 | 3 | ||
| 2 | Elmer Soderblom | 30 | 0 | 3 | 2 | ||
| 3 | Tanner Kero | Brett Seney | 20 | 0 | 4 | 1 | |
| 4 | 10 | 1 | 3 | 1 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 40 | 0 | 3 | 2 | |||
| 2 | William Trudeau | 30 | 0 | 4 | 1 | ||
| 3 | Max Szuber | Michael Karow | 20 | 0 | 4 | 1 | |
| 4 | 10 | 0 | 2 | 3 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brett Seney | Elmer Soderblom | 60 | 0 | 0 | 5 | |
| 2 | 40 | 0 | 0 | 5 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 60 | 0 | 1 | 4 | |||
| 2 | Max Szuber | 40 | 0 | 1 | 4 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Elmer Soderblom | 60 | 0 | 4 | 1 | |
| 2 | 40 | 0 | 4 | 1 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | William Trudeau | 60 | 0 | 4 | 1 | |
| 2 | Max Szuber | 40 | 0 | 4 | 1 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Brett Seney | 60 | 0 | 5 | 0 | 60 | 0 | 5 | 0 | ||
| 2 | Emil Heineman | 40 | 0 | 5 | 0 | Max Szuber | 40 | 0 | 5 | 0 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Emil Heineman | 60 | 0 | 2 | 3 | |
| 2 | Elmer Soderblom | Tanner Kero | 40 | 0 | 3 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 0 | 3 | 2 | ||
| 2 | William Trudeau | 40 | 0 | 3 | 2 | |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Emil Heineman | Elmer Soderblom | |||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Emil Heineman | Elmer Soderblom | |||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Brett Seney, , | Brett Seney, | Brett Seney |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Max Szuber, Michael Karow, William Trudeau | Max Szuber | Michael Karow, William Trudeau |
| Tirs de pénalité |
|---|
| Elmer Soderblom, , , , Tanner Kero |
| Gardien |
|---|
| #1 : , #2 : Will Cranley |
| 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 |
| 36 | 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$ | 2,176,169$ | 2,176,169$ | 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 |
|---|