![]() | Wolves |
| GP: 76 | W: 45 | L: 25 | OTL: 6 | P: 96 GF: 259 | GA: 221 | PP%: 17.40% | PK%: 83.72% DG: Yves Jobidon | Morale : 90 | Moyenne d’équipe : 59 Prochains matchs #1189 vs Chiwawa |
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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 | Eeli Tolvanen | X | 100.00 | 99 | 48 | 87 | 85 | 51 | 72 | 98 | 63 | 30 | 52 | 73 | 72 | 80 | 85 | 76 | 0 | 90 | 67 | 0 | 26 | 3 | 1,900,000$ | ||||
| 2 | Kyle MacLean (R) (A) | X | 100.00 | 76 | 45 | 90 | 78 | 63 | 50 | 98 | 51 | 78 | 47 | 54 | 59 | 65 | 85 | 72 | 0 | 90 | 62 | 0 | 26 | 3 | 800,000$ | ||||
| 3 | Fedor Svechkov (R) | X | 100.00 | 59 | 45 | 88 | 82 | 58 | 64 | 63 | 58 | 67 | 54 | 63 | 57 | 68 | 82 | 72 | 0 | 90 | 62 | 0 | 22 | 5 | 1,000,000$ | ||||
| 4 | Cole Schwindt (R) | X | 100.00 | 68 | 45 | 95 | 77 | 70 | 50 | 51 | 53 | 81 | 54 | 52 | 58 | 66 | 83 | 70 | 0 | 90 | 60 | 0 | 24 | 3 | 840,000$ | ||||
| 5 | Tye Kartye | X | 100.00 | 99 | 48 | 76 | 79 | 63 | 50 | 76 | 53 | 30 | 49 | 58 | 61 | 66 | 83 | 70 | 0 | 90 | 60 | 0 | 24 | 5 | 1,200,000$ | ||||
| 6 | Ryan Johansen | X | 100.00 | 50 | 45 | 80 | 79 | 80 | 50 | 40 | 45 | 83 | 40 | 50 | 55 | 50 | 91 | 82 | 0 | 90 | 57 | 0 | 33 | 4 | 800,000$ | ||||
| 7 | Clark Bishop | X | 100.00 | 54 | 45 | 95 | 76 | 65 | 50 | 40 | 47 | 30 | 40 | 54 | 65 | 50 | 89 | 76 | 0 | 90 | 55 | 0 | 29 | 1 | 775,000$ | ||||
| 8 | Arshdeep Bains (R) | X | 100.00 | 65 | 45 | 95 | 78 | 56 | 53 | 40 | 47 | 30 | 40 | 54 | 57 | 50 | 84 | 72 | 0 | 90 | 54 | 0 | 24 | 2 | 800,000$ | ||||
| 9 | Cal Clutterbuck (C) | X | 100.00 | 50 | 45 | 84 | 77 | 71 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 96 | 85 | 0 | 90 | 54 | 0 | 37 | 1 | 1,400,000$ | ||||
| 10 | Jacob Gaucher (R) | X | 100.00 | 50 | 45 | 95 | 78 | 63 | 50 | 40 | 45 | 30 | 40 | 50 | 62 | 50 | 84 | 71 | 0 | 90 | 54 | 0 | 24 | 4 | 3,000,000$ | ||||
| 11 | Damien Giroux (R) | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 74 | 0 | 90 | 52 | 0 | 25 | 5 | 800,000$ | ||||
| 12 | Egor Zamula | X | 100.00 | 54 | 45 | 92 | 81 | 65 | 69 | 76 | 56 | 30 | 56 | 56 | 69 | 67 | 85 | 76 | 0 | 90 | 65 | 0 | 25 | 3 | 1,000,000$ | ||||
| 13 | Victor Mancini (R) | X | 100.00 | 74 | 45 | 86 | 78 | 80 | 64 | 40 | 57 | 30 | 56 | 58 | 59 | 67 | 82 | 71 | 0 | 90 | 63 | 0 | 23 | 5 | 800,000$ | ||||
| 14 | Hunter Drew (R) | X | 100.00 | 50 | 45 | 95 | 77 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 56 | 0 | 26 | 5 | 800,000$ | ||||
| 15 | Nick Cicek (R) | X | 100.00 | 50 | 45 | 95 | 80 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 82 | 70 | 0 | 90 | 56 | 0 | 25 | 5 | 800,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 63 | 45 | 90 | 79 | 64 | 55 | 55 | 50 | 43 | 46 | 55 | 60 | 59 | 85 | 74 | 0 | 90 | 58 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | James Reimer | 100.00 | 75 | 58 | 80 | 87 | 75 | 74 | 74 | 75 | 75 | 71 | 70 | 96 | 88 | 0 | 90 | 67 | 0 | 37 | 4 | 1,100,000$ | |
| 2 | Laurent Brossoit | 100.00 | 70 | 40 | 40 | 91 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 90 | 82 | 0 | 90 | 59 | 0 | 32 | 1 | 1,200,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 73 | 49 | 60 | 89 | 70 | 70 | 70 | 70 | 70 | 68 | 68 | 93 | 85 | 0 | 90 | 63 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pascal Vincent | 65 | 65 | 65 | 65 | 87 | 77 | 66 | CAN | 55 | 1 | 400,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Egor Zamula | Wolves (STL) | D | 69 | 17 | 48 | 65 | 11 | 52 | 0 | 99 | 144 | 140 | 36 | 87 | 12.14% | 106 | 1460 | 21.17 | 9 | 7 | 16 | 54 | 99 | 0 | 1 | 1 | 0 | 88 | 1 | 0 | 0% | 3 | 0 | 0 | 0 | 0 | 0.89 | 1 | 3 | 0 | 0 | 0 | 12 | 6 | 3 |
| 2 | Ryan Johansen | Wolves (STL) | C | 53 | 15 | 15 | 30 | 5 | 18 | 0 | 35 | 132 | 82 | 20 | 52 | 18.29% | 5 | 888 | 16.77 | 0 | 3 | 3 | 15 | 67 | 0 | 0 | 0 | 0 | 73 | 2 | 1 | 67.14% | 1132 | 0 | 0 | 1 | 0 | 0.68 | 0 | 3 | 0 | 0 | 0 | 4 | 8 | 5 |
| Statistiques d’équipe totales ou en moyenne | 122 | 32 | 63 | 95 | 16 | 70 | 0 | 134 | 276 | 222 | 56 | 139 | 14.41% | 111 | 2349 | 19.26 | 9 | 10 | 19 | 69 | 166 | 0 | 1 | 1 | 0 | 161 | 3 | 1 | 66.96% | 1135 | 0 | 0 | 1 | 0 | 0.81 | 1 | 6 | 0 | 0 | 0 | 16 | 14 | 8 | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Arshdeep Bains | Wolves (STL) | C | 24 | 2001-01-09 | CAN | Yes | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Cal Clutterbuck | Wolves (STL) | LW | 37 | 1987-11-18 | CAN | No | 215 Lbs | 5 ft11 | No | No | Waiver | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,400,000$ | 168,519$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Clark Bishop | Wolves (STL) | C | 29 | 1996-03-29 | CAN | No | 197 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 775,000$ | 93,287$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Cole Schwindt | Wolves (STL) | LW | 24 | 2001-04-25 | CAN | Yes | 182 Lbs | 6 ft2 | No | No | Trade | 2025-10-24 | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 840,000$ | 101,111$ | 0$ | 0$ | No | 840,000$ | 840,000$ | - | - | - | - | - | - | - | 840,000$ | 840,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL |
| Damien Giroux | Wolves (STL) | RW | 25 | 2000-03-03 | CAN | Yes | 179 Lbs | 5 ft10 | No | No | N/A | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Eeli Tolvanen | Wolves (STL) | LW | 26 | 1999-04-22 | FIN | No | 191 Lbs | 5 ft10 | No | No | Trade | 2026-01-17 | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 1,900,000$ | 228,704$ | 0$ | 0$ | No | 1,900,000$ | 1,900,000$ | - | - | - | - | - | - | - | 1,900,000$ | 1,900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL |
| Egor Zamula | Wolves (STL) | D | 25 | 2000-03-30 | RUS | No | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 1,000,000$ | 120,370$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Fedor Svechkov | Wolves (STL) | RW | 22 | 2003-04-05 | SWE | Yes | 187 Lbs | 6 ft0 | No | No | Trade | 2025-11-21 | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 1,000,000$ | 120,370$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL |
| Hunter Drew | Wolves (STL) | D | 26 | 1998-10-21 | CAN | Yes | 191 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Jacob Gaucher | Wolves (STL) | C | 24 | 2001-03-09 | USA | Yes | 185 Lbs | 6 ft3 | No | No | Trade | 2025-11-21 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 3,000,000$ | 361,111$ | 0$ | 0$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL |
| James Reimer | Wolves (STL) | G | 37 | 1988-03-15 | CAN | No | 205 Lbs | 6 ft3 | No | No | Trade | 2026-01-05 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 1,100,000$ | 132,407$ | 0$ | 0$ | No | 1,100,000$ | 1,100,000$ | 1,100,000$ | - | - | - | - | - | - | 1,100,000$ | 1,100,000$ | 1,100,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL |
| Kyle MacLean | Wolves (STL) | C | 26 | 1999-04-29 | USA | Yes | 190 Lbs | 6 ft1 | No | No | Trade | 2025-10-24 | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL |
| Laurent Brossoit | Wolves (STL) | G | 32 | 1993-03-23 | CAN | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,200,000$ | 144,444$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Nick Cicek | Wolves (STL) | D | 25 | 2000-05-29 | CAN | Yes | 201 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Ryan Johansen | Wolves (STL) | C | 33 | 1992-07-31 | CAN | No | 218 Lbs | 6 ft3 | No | No | Assign Manually | 2024-12-05 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL |
| Tye Kartye | Wolves (STL) | RW | 24 | 2001-04-30 | CAN | No | 202 Lbs | 5 ft11 | No | No | N/A | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 1,200,000$ | 144,444$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Victor Mancini | Wolves (STL) | D | 23 | 2002-05-26 | USA | Yes | 229 Lbs | 6 ft3 | No | No | Draft | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 96,296$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 17 | 27.18 | 198 Lbs | 6 ft1 | 3.47 | 1,118,529$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , , , |
| 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 |
| 1 | Bandits | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 90 | 90 | 73 | 6 | 118 | 894 | 932 | 876 | 34 | 83 | 21 | 26 | 59 | 18 | 2 | 11.11% | 13 | 2 | 84.62% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 2 | Barracudas | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 90 | 90 | 73 | 6 | 75 | 894 | 932 | 876 | 34 | 50 | 18 | 20 | 50 | 11 | 2 | 18.18% | 10 | 1 | 90.00% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 3 | Bayou | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 90 | 90 | 73 | 6 | 70 | 894 | 932 | 876 | 34 | 76 | 19 | 28 | 37 | 9 | 2 | 22.22% | 14 | 3 | 78.57% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 4 | Chiwawa | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 90 | 90 | 73 | 6 | 34 | 894 | 932 | 876 | 34 | 16 | 7 | 16 | 24 | 1 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 5 | CoolFm | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 5 | 6 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 6 | 1.000 | 11 | 19 | 30 | 0 | 1 | 90 | 90 | 73 | 6 | 92 | 894 | 932 | 876 | 34 | 96 | 23 | 44 | 72 | 18 | 4 | 22.22% | 22 | 3 | 86.36% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 6 | Farmers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.333 | 5 | 9 | 14 | 1 | 0 | 90 | 90 | 73 | 6 | 99 | 894 | 932 | 876 | 34 | 98 | 17 | 42 | 92 | 14 | 2 | 14.29% | 20 | 1 | 95.00% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 7 | Goons | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 11 | 20 | 31 | 1 | 0 | 90 | 90 | 73 | 6 | 110 | 894 | 932 | 876 | 34 | 75 | 27 | 37 | 79 | 12 | 5 | 41.67% | 15 | 3 | 80.00% | 1 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 8 | Grizzlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 90 | 90 | 73 | 6 | 66 | 894 | 932 | 876 | 34 | 67 | 19 | 19 | 50 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 1 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 9 | Hunters | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 15 | 13 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 | 8 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 5 | 0.833 | 15 | 29 | 44 | 0 | 0 | 90 | 90 | 73 | 6 | 106 | 894 | 932 | 876 | 34 | 123 | 38 | 38 | 76 | 13 | 3 | 23.08% | 18 | 4 | 77.78% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 10 | Husky | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 90 | 90 | 73 | 6 | 118 | 894 | 932 | 876 | 34 | 116 | 25 | 39 | 89 | 11 | 1 | 9.09% | 17 | 4 | 76.47% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 11 | Igloos | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 0.667 | 12 | 23 | 35 | 0 | 0 | 90 | 90 | 73 | 6 | 128 | 894 | 932 | 876 | 34 | 103 | 21 | 36 | 61 | 13 | 3 | 23.08% | 16 | 3 | 81.25% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 12 | Marlies | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 8 | 6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 6 | 1.000 | 14 | 28 | 42 | 0 | 0 | 90 | 90 | 73 | 6 | 113 | 894 | 932 | 876 | 34 | 86 | 34 | 30 | 94 | 20 | 6 | 30.00% | 15 | 2 | 86.67% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 13 | Marmots | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 90 | 90 | 73 | 6 | 89 | 894 | 932 | 876 | 34 | 53 | 16 | 42 | 66 | 9 | 0 | 0.00% | 19 | 3 | 84.21% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 14 | Outlaws | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 90 | 90 | 73 | 6 | 81 | 894 | 932 | 876 | 34 | 70 | 27 | 19 | 55 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 1 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 15 | Predateurs | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 90 | 90 | 73 | 6 | 95 | 894 | 932 | 876 | 34 | 66 | 12 | 12 | 42 | 13 | 1 | 7.69% | 6 | 2 | 66.67% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 16 | Raptors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 90 | 90 | 73 | 6 | 66 | 894 | 932 | 876 | 34 | 56 | 11 | 28 | 57 | 13 | 3 | 23.08% | 13 | 2 | 84.62% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 17 | Rockets | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 6 | 1.000 | 13 | 26 | 39 | 0 | 0 | 90 | 90 | 73 | 6 | 102 | 894 | 932 | 876 | 34 | 105 | 36 | 39 | 76 | 13 | 3 | 23.08% | 15 | 1 | 93.33% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 18 | Sags | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 90 | 90 | 73 | 6 | 54 | 894 | 932 | 876 | 34 | 31 | 7 | 10 | 23 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 19 | Scorpions | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 9 | 13 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 90 | 90 | 73 | 6 | 92 | 894 | 932 | 876 | 34 | 91 | 31 | 24 | 72 | 19 | 2 | 10.53% | 11 | 2 | 81.82% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 20 | Smirnoff Ice | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 2 | 0.333 | 11 | 21 | 32 | 0 | 1 | 90 | 90 | 73 | 6 | 85 | 894 | 932 | 876 | 34 | 107 | 31 | 36 | 71 | 8 | 1 | 12.50% | 18 | 1 | 94.44% | 1 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 21 | Snowbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 90 | 90 | 73 | 6 | 68 | 894 | 932 | 876 | 34 | 75 | 23 | 31 | 48 | 3 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 22 | Spartans | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 90 | 90 | 73 | 6 | 107 | 894 | 932 | 876 | 34 | 102 | 20 | 23 | 77 | 11 | 1 | 9.09% | 9 | 3 | 66.67% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 23 | Supreme | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 90 | 90 | 73 | 6 | 76 | 894 | 932 | 876 | 34 | 84 | 29 | 26 | 41 | 12 | 3 | 25.00% | 12 | 2 | 83.33% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 24 | Thugs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 90 | 90 | 73 | 6 | 78 | 894 | 932 | 876 | 34 | 76 | 21 | 20 | 36 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 1 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 25 | TigersCats | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 90 | 90 | 73 | 6 | 108 | 894 | 932 | 876 | 34 | 107 | 31 | 32 | 81 | 22 | 5 | 22.73% | 15 | 6 | 60.00% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 26 | Twins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 90 | 90 | 73 | 6 | 74 | 894 | 932 | 876 | 34 | 62 | 14 | 28 | 43 | 10 | 0 | 0.00% | 13 | 2 | 84.62% | 1 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 27 | Vandals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 90 | 90 | 73 | 6 | 70 | 894 | 932 | 876 | 34 | 38 | 11 | 14 | 48 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 28 | Vipers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 90 | 90 | 73 | 6 | 80 | 894 | 932 | 876 | 34 | 61 | 21 | 32 | 39 | 16 | 2 | 12.50% | 10 | 2 | 80.00% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 29 | Warriors | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 7 | 8 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 8 | 0.800 | 15 | 28 | 43 | 0 | 1 | 90 | 90 | 73 | 6 | 171 | 894 | 932 | 876 | 34 | 112 | 31 | 49 | 136 | 18 | 4 | 22.22% | 22 | 2 | 90.91% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| 30 | Xpress | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.333 | 12 | 24 | 36 | 0 | 0 | 90 | 90 | 73 | 6 | 102 | 894 | 932 | 876 | 34 | 131 | 44 | 32 | 67 | 15 | 2 | 13.33% | 15 | 5 | 66.67% | 0 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | |
| Total | 76 | 39 | 25 | 0 | 5 | 4 | 1 | 2 | 259 | 221 | 38 | 38 | 17 | 13 | 0 | 3 | 3 | 1 | 1 | 125 | 116 | 9 | 38 | 22 | 12 | 0 | 2 | 1 | 0 | 1 | 134 | 105 | 29 | 96 | 0.632 | 259 | 488 | 747 | 3 | 4 | 90 | 90 | 73 | 6 | 2727 | 894 | 932 | 876 | 34 | 2416 | 685 | 872 | 1861 | 362 | 63 | 17.40% | 393 | 64 | 83.72% | 6 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | ||
| _Since Last GM Reset | 76 | 39 | 25 | 0 | 5 | 4 | 1 | 2 | 259 | 221 | 38 | 38 | 17 | 13 | 0 | 3 | 3 | 1 | 1 | 125 | 116 | 9 | 38 | 22 | 12 | 0 | 2 | 1 | 0 | 1 | 134 | 105 | 29 | 96 | 0.632 | 259 | 488 | 747 | 3 | 4 | 90 | 90 | 73 | 6 | 2727 | 894 | 932 | 876 | 34 | 2416 | 685 | 872 | 1861 | 362 | 63 | 17.40% | 393 | 64 | 83.72% | 6 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | ||
| _Vs Conference | 30 | 16 | 7 | 0 | 2 | 3 | 0 | 2 | 102 | 87 | 15 | 15 | 7 | 5 | 0 | 0 | 2 | 0 | 1 | 49 | 49 | 0 | 15 | 9 | 2 | 0 | 2 | 1 | 0 | 1 | 53 | 38 | 15 | 41 | 0.683 | 102 | 192 | 294 | 1 | 1 | 90 | 90 | 73 | 6 | 1120 | 894 | 932 | 876 | 34 | 954 | 271 | 331 | 692 | 149 | 20 | 13.42% | 146 | 22 | 84.93% | 3 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | ||
| _Vs Division | 14 | 8 | 3 | 0 | 0 | 2 | 0 | 1 | 46 | 38 | 8 | 7 | 3 | 2 | 0 | 0 | 2 | 0 | 0 | 20 | 21 | -1 | 7 | 5 | 1 | 0 | 0 | 0 | 0 | 1 | 26 | 17 | 9 | 19 | 0.679 | 46 | 86 | 132 | 1 | 1 | 90 | 90 | 73 | 6 | 545 | 894 | 932 | 876 | 34 | 423 | 122 | 153 | 314 | 70 | 7 | 10.00% | 66 | 11 | 83.33% | 2 | 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% | 1915 | 1389 | 1809 | 520 | 866 | 431 | ||
| 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 |
| 76 | 96 | W1 | 259 | 488 | 747 | 2727 | 2416 | 685 | 872 | 1861 | 3 | 4 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 76 | 39 | 25 | 5 | 4 | 1 | 2 | 259 | 221 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 38 | 17 | 13 | 3 | 3 | 1 | 1 | 125 | 116 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 38 | 22 | 12 | 2 | 1 | 0 | 1 | 134 | 105 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 6 | 3 | 0 | 1 | 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 |
|---|---|---|---|---|---|---|
| 362 | 63 | 17.40% | 393 | 64 | 83.72% | 6 |
| 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 |
|---|---|---|---|---|---|---|---|
| 894 | 932 | 876 | 34 | 90 | 90 | 73 | 6 |
| 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 |
| 1518 | 2771 | 54.78% | 1388 | 2592 | 53.55% | 621 | 1135 | 54.71% |
| 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 |
| 1915 | 1389 | 1809 | 520 | 866 | 431 |
| 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 |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 75,818 | 37,934 |
| Assistance PCT | 99.76% | 99.83% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité de l’aréna | Popularité de l’équipe |
| 3 | 2993 - 99.78% | 101,768$ | 3,867,168$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 2,081,106$ | 1,901,500$ | 1,901,500$ | 400,000$0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 1,729,226$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 305,303$ | 13 | 21,310$ | 277,030$ |
| # | 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 |
|---|