| Inferno | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Marc-Antoine Belanger | Morale : 40 | Moyenne d’équipe : 62 |
|
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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 | Nicolas Deslauriers | X | 100.00 | 90 | 90 | 61 | 66 | 74 | 69 | 36 | 55 | 50 | 56 | 53 | 55 | 45 | 93 | 62 | 0 | 40 | 66 | 0 | 35 | 2 | 2,000,000$ | ||||
| 2 | Avery Hayes (R) | X | 100.00 | 67 | 66 | 74 | 75 | 58 | 71 | 38 | 55 | 51 | 51 | 75 | 56 | 51 | 58 | 62 | 0 | 40 | 65 | 0 | 24 | 2 | 830,000$ | ||||
| 3 | Jiri Kulich | X | 100.00 | 54 | 50 | 81 | 75 | 69 | 81 | 34 | 58 | 74 | 54 | 65 | 56 | 37 | 60 | 64 | 0 | 40 | 65 | 0 | 22 | 1 | 950,000$ | ||||
| 4 | Phil Kessel | X | 100.00 | 43 | 53 | 88 | 83 | 66 | 60 | 55 | 60 | 37 | 54 | 54 | 50 | 43 | 99 | 67 | 0 | 40 | 64 | 0 | 39 | 1 | 6,000,000$ | ||||
| 5 | Jesper Fast | X | 100.00 | 61 | 52 | 90 | 65 | 68 | 60 | 55 | 55 | 44 | 52 | 52 | 62 | 40 | 91 | 64 | 0 | 40 | 64 | 0 | 35 | 2 | 3,000,000$ | ||||
| 6 | Jacob Melanson | X | 100.00 | 90 | 73 | 71 | 68 | 69 | 69 | 55 | 55 | 50 | 58 | 56 | 56 | 48 | 59 | 57 | 0 | 40 | 63 | 0 | 23 | 1 | 852,500$ | ||||
| 7 | Sacha Boisvert (R) | X | 100.00 | 60 | 58 | 55 | 71 | 68 | 74 | 30 | 55 | 53 | 52 | 59 | 51 | 34 | 54 | 58 | 0 | 40 | 61 | 0 | 20 | 3 | 950,000$ | ||||
| 8 | Nikita Chibrikov | X | 100.00 | 62 | 50 | 55 | 63 | 55 | 74 | 33 | 55 | 35 | 50 | 51 | 54 | 32 | 61 | 54 | 0 | 40 | 59 | 0 | 23 | 1 | 867,500$ | ||||
| 9 | Laurent Dauphin | X | 100.00 | 48 | 51 | 82 | 63 | 64 | 60 | 55 | 55 | 62 | 50 | 50 | 50 | 30 | 82 | 49 | 0 | 40 | 57 | 0 | 31 | 1 | 750,000$ | ||||
| 10 | Sean Farrell | X | 100.00 | 36 | 50 | 90 | 72 | 53 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 62 | 49 | 0 | 40 | 57 | 0 | 25 | 2 | 775,000$ | ||||
| 11 | James Malatesta | X | 100.00 | 77 | 50 | 90 | 63 | 57 | 60 | 55 | 55 | 32 | 50 | 50 | 50 | 30 | 58 | 51 | 0 | 40 | 57 | 0 | 23 | 1 | 862,500$ | ||||
| 12 | Colin Miller | X | 100.00 | 69 | 51 | 86 | 70 | 70 | 74 | 38 | 55 | 40 | 58 | 51 | 59 | 33 | 88 | 64 | 0 | 40 | 67 | 0 | 34 | 3 | 1,700,000$ | ||||
| 13 | Sebastien Aho | X | 100.00 | 55 | 51 | 90 | 72 | 62 | 60 | 55 | 57 | 30 | 52 | 51 | 69 | 40 | 78 | 63 | 0 | 40 | 66 | 0 | 30 | 1 | 750,000$ | ||||
| 14 | Tristan Luneau | X | 100.00 | 56 | 50 | 90 | 72 | 72 | 77 | 30 | 55 | 38 | 50 | 70 | 65 | 55 | 60 | 74 | 0 | 40 | 66 | 0 | 22 | 1 | 870,000$ | ||||
| 15 | Jacob Larsson | X | 100.00 | 54 | 52 | 55 | 67 | 72 | 60 | 55 | 75 | 30 | 50 | 50 | 50 | 30 | 76 | 86 | 0 | 40 | 64 | 0 | 29 | 2 | 750,000$ | ||||
| 16 | Seamus Casey | X | 100.00 | 45 | 50 | 90 | 72 | 57 | 83 | 30 | 55 | 36 | 50 | 50 | 53 | 30 | 58 | 56 | 0 | 40 | 61 | 0 | 22 | 2 | 950,000$ | ||||
| 17 | Daniil Misyul | X | 100.00 | 53 | 50 | 90 | 63 | 71 | 60 | 55 | 55 | 33 | 50 | 50 | 50 | 30 | 59 | 53 | 0 | 40 | 59 | 0 | 26 | 1 | 867,500$ | ||||
| 18 | Brady Keeper | X | 100.00 | 38 | 45 | 55 | 63 | 72 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 58 | 54 | 0 | 40 | 57 | 0 | 30 | 2 | 775,000$ | ||||
| 19 | Mitch Reinke | X | 100.00 | 38 | 45 | 55 | 63 | 60 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 58 | 54 | 0 | 40 | 56 | 0 | 30 | 2 | 750,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 58 | 55 | 76 | 69 | 65 | 67 | 46 | 57 | 41 | 52 | 55 | 55 | 37 | 69 | 60 | 0 | 40 | 62 | ||||||||||
| 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 | Nico Daws | 100.00 | 68 | 38 | 92 | 86 | 63 | 56 | 63 | 64 | 50 | 66 | 50 | 66 | 58 | 0 | 40 | 64 | 0 | 26 | 1 | 775,000$ | |
| 2 | Marcus Hogberg | 100.00 | 68 | 36 | 65 | 90 | 55 | 55 | 62 | 55 | 50 | 52 | 50 | 78 | 56 | 0 | 40 | 60 | 0 | 32 | 2 | 775,000$ | |
| 3 | Laurent Brossoit | 100.00 | 68 | 34 | 65 | 83 | 55 | 55 | 61 | 55 | 50 | 52 | 50 | 87 | 56 | 0 | 40 | 59 | N | 0 | 33 | 2 | 3,300,000$ |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 68 | 36 | 74 | 86 | 58 | 55 | 62 | 58 | 50 | 57 | 50 | 77 | 57 | 0 | 40 | 61 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Avery Hayes | Inferno (BIR) | C | 24 | 2002-10-10 | CAN | Yes | 180 Lbs | 5 ft10 | No | No | Prospect | No | No | 2 | 2026-08-19 | False | False | Pro & Farm | 830,000$ | 830,000$ | 0$ | 0$ | No | 830,000$ | - | - | - | - | - | - | - | - | 830,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Brady Keeper | Inferno (BIR) | D | 30 | 1996-06-05 | CAN | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Colin Miller | Inferno (BIR) | D | 34 | 1992-10-29 | CAN | No | 200 Lbs | 6 ft1 | No | No | Trade | 2025-10-01 | No | No | 3 | 2024-10-10 | False | False | Pro & Farm | 1,700,000$ | 1,700,000$ | 0$ | 0$ | No | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Daniil Misyul | Inferno (BIR) | D | 26 | 2000-10-20 | CAN | No | 176 Lbs | 6 ft3 | No | No | Prospect | No | No | 1 | 2025-08-29 | False | False | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jacob Larsson | Inferno (BIR) | D | 29 | 1997-04-29 | CAN | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Jacob Melanson | Inferno (BIR) | C | 23 | 2003-04-22 | CAN | No | 207 Lbs | 6 ft0 | No | No | Prospect | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 852,500$ | 852,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| James Malatesta | Inferno (BIR) | RW | 23 | 2003-05-31 | CAN | No | 193 Lbs | 5 ft9 | No | No | Prospect | No | No | 1 | 2024-08-08 | False | False | Pro & Farm | 862,500$ | 862,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jesper Fast | Inferno (BIR) | RW | 35 | 1991-12-02 | CAN | No | 191 Lbs | 6 ft1 | No | No | Trade | 2025-03-26 | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jiri Kulich | Inferno (BIR) | C | 22 | 2004-04-14 | CAN | No | 193 Lbs | 6 ft1 | No | No | Trade | 2025-01-04 | No | No | 1 | 2024-08-08 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Laurent Brossoit | Inferno (BIR) | G | 33 | 1993-03-23 | CAN | No | 203 Lbs | 6 ft3 | Yes | No | Assign Manually | 2024-08-09 | No | No | 2 | 2026-09-17 | False | False | Pro & Farm | 3,300,000$ | 3,300,000$ | 0$ | 0$ | No | 3,300,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Laurent Dauphin | Inferno (BIR) | LW | 31 | 1995-03-27 | CAN | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Marcus Hogberg | Inferno (BIR) | G | 32 | 1994-11-25 | CAN | No | 232 Lbs | 6 ft5 | No | No | Trade | 2025-08-07 | No | No | 2 | 2025-08-29 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Mitch Reinke | Inferno (BIR) | D | 30 | 1996-02-04 | CAN | No | 181 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Nico Daws | Inferno (BIR) | G | 26 | 2000-12-22 | CAN | No | 205 Lbs | 6 ft4 | No | No | Trade | 2025-03-26 | No | No | 1 | 2025-08-29 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Nicolas Deslauriers | Inferno (BIR) | LW | 35 | 1991-02-22 | CAN | No | 218 Lbs | 6 ft1 | No | No | Trade | 2026-09-29 | No | No | 2 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Nikita Chibrikov | Inferno (BIR) | RW | 23 | 2003-02-16 | CAN | No | 170 Lbs | 5 ft10 | No | No | Trade | 2025-01-04 | No | No | 1 | 2024-08-08 | False | False | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Phil Kessel | Inferno (BIR) | RW | 39 | 1987-10-02 | CAN | No | 208 Lbs | 5 ft11 | No | No | Trade | 2025-03-26 | No | No | 1 | False | False | Pro & Farm | 6,000,000$ | 6,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Sacha Boisvert | Inferno (BIR) | C | 20 | 2006-03-17 | CAN | Yes | 176 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 3 | 2026-08-19 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | - | - | - | - | - | - | - | 950,000$ | 950,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Seamus Casey | Inferno (BIR) | D | 22 | 2004-01-08 | CAN | No | 181 Lbs | 5 ft10 | No | No | Prospect | No | No | 2 | 2025-07-22 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Sean Farrell | Inferno (BIR) | C | 25 | 2001-11-02 | CAN | No | 175 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | 2026-09-03 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Sebastien Aho | Inferno (BIR) | D | 30 | 1996-02-17 | CAN | No | 176 Lbs | 6 ft0 | No | No | Trade | 2025-03-26 | No | No | 1 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Tristan Luneau | Inferno (BIR) | D | 22 | 2004-01-12 | CAN | No | 211 Lbs | 6 ft1 | No | No | Prospect | No | No | 1 | 2024-08-08 | False | False | Pro & Farm | 870,000$ | 870,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 27.91 | 193 Lbs | 6 ft1 | 1.64 | 1,368,182$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Laurent Dauphin | 34 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | Brady Keeper | Mitch Reinke | 30 | 1 | 2 | 2 | |
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Laurent Dauphin | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | Brady Keeper | Mitch Reinke | 49 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Laurent Dauphin | 49 | 1 | 2 | 2 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Brady Keeper | Mitch Reinke | 49 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | Brady Keeper | Mitch Reinke | 49 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Laurent Dauphin | 49 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Brady Keeper | Mitch Reinke | 49 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Laurent Dauphin | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Laurent Dauphin | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Brady Keeper, Mitch Reinke, | Brady Keeper | Mitch Reinke, |
| Tirs de pénalité |
|---|
| , , Laurent Dauphin, , |
| 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 | RI |
| 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 | 0 | 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 | 0 |
| Assistance | 0% | 0% |
| Assistance PCT | 0% | 0% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité de l’aréna | Popularité de l’équipe | 0 | 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$ | 0$ | 0$ | 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 |
|---|
