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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Denis Malgin | X | 100.00 | 70 | 45 | 92 | 83 | 51 | 55 | 78 | 58 | 30 | 50 | 66 | 61 | 68 | 86 | 74 | 0 | 90 | 61 | 0 | ||||
2 | Darren Raddysh (R) | X | 100.00 | 74 | 45 | 90 | 79 | 63 | 69 | 40 | 52 | 30 | 48 | 56 | 58 | 66 | 87 | 77 | 0 | 90 | 58 | 0 | ||||
3 | Frederik Gauthier | X | 100.00 | 50 | 45 | 95 | 71 | 96 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 55 | 0 | ||||
4 | Nolan Foote (R) | X | 100.00 | 51 | 45 | 95 | 76 | 70 | 50 | 40 | 47 | 30 | 40 | 54 | 55 | 50 | 82 | 69 | 0 | 90 | 54 | 0 | ||||
5 | Nail Yakupov | X | 100.00 | 50 | 45 | 95 | 76 | 62 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 90 | 77 | 0 | 90 | 53 | 0 | ||||
6 | Nolan Patrick | X | 100.00 | 50 | 45 | 95 | 76 | 71 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 53 | 0 | ||||
7 | Tyler Ennis | X | 100.00 | 50 | 45 | 95 | 80 | 40 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 94 | 81 | 0 | 90 | 52 | 0 | ||||
8 | Cale Fleury (R) | X | 100.00 | 78 | 45 | 92 | 75 | 65 | 55 | 40 | 47 | 30 | 44 | 50 | 57 | 50 | 84 | 72 | 0 | 90 | 59 | 0 | ||||
9 | Dan Renouf | X | 100.00 | 50 | 45 | 95 | 76 | 62 | 50 | 40 | 45 | 30 | 40 | 50 | 57 | 50 | 88 | 76 | 0 | 90 | 57 | 0 | ||||
10 | Lassi Thomson (R) | X | 100.00 | 50 | 45 | 90 | 77 | 56 | 50 | 40 | 45 | 30 | 40 | 50 | 58 | 50 | 82 | 70 | 0 | 90 | 56 | 0 | ||||
11 | Trevor Murphy (R) | X | 100.00 | 50 | 45 | 95 | 78 | 47 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 56 | 0 | ||||
Rayé | ||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 57 | 45 | 94 | 77 | 62 | 53 | 43 | 47 | 30 | 42 | 52 | 56 | 53 | 87 | 74 | 0 | 90 | 56 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Oscar Dansk | 100.00 | 70 | 40 | 40 | 89 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 86 | 73 | 0 | 90 | 58 | 0 | |
2 | Michael McNiven (R) | 100.00 | 70 | 40 | 40 | 86 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 84 | 71 | 0 | 90 | 58 | 0 | |
Rayé | ||||||||||||||||||||
1 | Malcolm Subban | 82.73 | 70 | 40 | 40 | 91 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 88 | 76 | 0 | 90 | 59 | 0 | |
MOYENNE D'ÉQUIPE | 94.00 | 70 | 40 | 40 | 89 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 86 | 73 | 0 | 90 | 58 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 65 | 65 | 65 | 65 | 87 | 77 | 66 | CAN | 53 | 3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darren Raddysh | Vipers (ANA) | RW | 12 | 9 | 6 | 15 | 4 | 0 | 0 | 15 | 7 | 66 | 17 | 45 | 13.64% | 9 | 241 | 20.11 | 3 | 3 | 6 | 11 | 26 | 1 | 0 | 1 | 3 | 9 | 1 | 0 | 28.57% | 7 | 20 | 11 | 0 | 0 | 1.24 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 1 |
2 | Nolan Foote | Vipers (ANA) | C | 14 | 6 | 3 | 9 | -2 | 0 | 0 | 7 | 12 | 30 | 2 | 27 | 20.00% | 1 | 206 | 14.78 | 0 | 0 | 0 | 1 | 24 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 36.48% | 159 | 5 | 4 | 0 | 0 | 0.87 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 |
3 | Tyler Ennis | Vipers (ANA) | LW | 12 | 2 | 6 | 8 | 3 | 4 | 0 | 6 | 5 | 16 | 7 | 18 | 12.50% | 0 | 175 | 14.66 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 6 | 5 | 3 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
4 | Nolan Patrick | Vipers (ANA) | C | 14 | 5 | 1 | 6 | 2 | 0 | 0 | 5 | 11 | 12 | 2 | 8 | 41.67% | 1 | 181 | 12.96 | 0 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 41.18% | 102 | 6 | 2 | 0 | 0 | 0.66 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
5 | Filip Zadina | Anaheim Icehawks | LW | 7 | 1 | 4 | 5 | 4 | 0 | 0 | 6 | 11 | 19 | 4 | 12 | 5.26% | 4 | 101 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 50.00% | 8 | 3 | 1 | 0 | 0 | 0.99 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 |
6 | Nail Yakupov | Vipers (ANA) | RW | 12 | 2 | 2 | 4 | -1 | 2 | 0 | 15 | 13 | 18 | 7 | 9 | 11.11% | 3 | 193 | 16.14 | 0 | 0 | 0 | 1 | 24 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 9 | 5 | 5 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
7 | Frederik Gauthier | Vipers (ANA) | C | 12 | 4 | 0 | 4 | 0 | 2 | 0 | 6 | 17 | 20 | 3 | 10 | 20.00% | 1 | 210 | 17.52 | 2 | 0 | 2 | 5 | 26 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 43.54% | 209 | 1 | 4 | 0 | 0 | 0.38 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Paul Cotter | Anaheim Icehawks | RW | 4 | 0 | 3 | 3 | 1 | 4 | 0 | 9 | 2 | 12 | 5 | 12 | 0.00% | 0 | 86 | 21.73 | 0 | 0 | 0 | 3 | 7 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 46.43% | 28 | 3 | 1 | 0 | 0 | 0.69 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Lassi Thomson | Vipers (ANA) | D | 14 | 0 | 3 | 3 | -1 | 7 | 5 | 2 | 0 | 5 | 2 | 1 | 0.00% | 4 | 202 | 14.47 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 1 | 3 | 6 | 0 | 0 | 0.30 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
10 | Derrick Pouliot | Anaheim Icehawks | D | 10 | 1 | 2 | 3 | 5 | 11 | 5 | 7 | 12 | 17 | 8 | 5 | 5.88% | 8 | 246 | 24.64 | 0 | 0 | 0 | 1 | 28 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 2 | 14 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
11 | Cale Fleury | Vipers (ANA) | D | 5 | 0 | 2 | 2 | 4 | 0 | 0 | 5 | 2 | 5 | 0 | 4 | 0.00% | 4 | 112 | 22.48 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Dan Renouf | Vipers (ANA) | D | 12 | 0 | 2 | 2 | 3 | 5 | 5 | 4 | 4 | 10 | 4 | 3 | 0.00% | 4 | 225 | 18.81 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.18 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
13 | Denis Malgin | Vipers (ANA) | RW | 6 | 1 | 1 | 2 | -3 | 4 | 0 | 8 | 7 | 14 | 0 | 7 | 7.14% | 2 | 99 | 16.56 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 60.00% | 10 | 4 | 2 | 0 | 0 | 0.40 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Trevor Murphy | Vipers (ANA) | D | 7 | 0 | 2 | 2 | -1 | 0 | 0 | 3 | 5 | 3 | 2 | 2 | 0.00% | 2 | 132 | 18.89 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 66.67% | 3 | 0 | 3 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
15 | Spencer Foo | Anaheim Icehawks | LW | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 1 | 32 | 16.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 143 | 31 | 37 | 68 | 20 | 39 | 15 | 98 | 109 | 248 | 63 | 165 | 12.50% | 44 | 2448 | 17.12 | 5 | 3 | 8 | 24 | 206 | 1 | 0 | 1 | 5 | 99 | 6 | 1 | 40.77% | 542 | 58 | 67 | 0 | 0 | 0.56 | 0 | 5 | 2 | 0 | 1 | 8 | 8 | 7 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Malcolm Subban | Vipers (ANA) | 13 | 7 | 4 | 1 | 0.875 | 3.02 | 676 | 0 | 1 | 34 | 271 | 150 | 0 | 0 | 1.000 | 6 | 12 | 13 | 1 | 1 | 1 |
2 | Michael McNiven | Vipers (ANA) | 1 | 0 | 0 | 0 | 0.842 | 4.19 | 43 | 0 | 0 | 3 | 19 | 9 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 14 | 7 | 4 | 1 | 0.872 | 3.08 | 720 | 0 | 1 | 37 | 290 | 159 | 0 | 0 | 1.000 | 6 | 13 | 13 | 1 | 1 | 1 |
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 | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Status | Type | Salaire Actuel | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cale Fleury | Vipers (ANA) | D | 24 | 1998-11-19 | Yes | 204 Lbs | 6 ft1 | No | No | No | 1 | Avec Restriction | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Dan Renouf | Vipers (ANA) | D | 29 | 1994-06-01 | No | 198 Lbs | 6 ft1 | No | No | No | 2 | Sans Restriction | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Darren Raddysh | Vipers (ANA) | RW | 27 | 1996-02-28 | Yes | 200 Lbs | 6 ft1 | No | No | No | 5 | Avec Restriction | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
Denis Malgin | Vipers (ANA) | RW | 26 | 1997-01-18 | No | 182 Lbs | 5 ft9 | No | No | No | 4 | Avec Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Frederik Gauthier | Vipers (ANA) | C | 28 | 1995-04-26 | No | 239 Lbs | 6 ft5 | No | No | No | 3 | Sans Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Lassi Thomson | Vipers (ANA) | D | 23 | 2000-09-24 | Yes | 190 Lbs | 6 ft0 | No | No | No | 2 | Avec Restriction | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | |
Malcolm Subban (Sur la Masse Salariale) | Vipers (ANA) | G | 29 | 1993-12-21 | No | 215 Lbs | 6 ft2 | No | No | No | 1 | Sans Restriction | Pro & Farm | 1,250,000$ | 0$ | 0$ | Yes | |
Michael McNiven | Vipers (ANA) | G | 26 | 1997-07-09 | Yes | 199 Lbs | 6 ft1 | No | No | No | 1 | Avec Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Nail Yakupov | Vipers (ANA) | RW | 29 | 1993-10-12 | No | 195 Lbs | 5 ft11 | No | No | No | 4 | Sans Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Nolan Foote | Vipers (ANA) | C | 22 | 2000-11-29 | Yes | 196 Lbs | 6 ft3 | No | No | No | 3 | Avec Restriction | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
Nolan Patrick | Vipers (ANA) | C | 25 | 1998-09-19 | No | 201 Lbs | 6 ft2 | No | No | No | 1 | Avec Restriction | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
Oscar Dansk | Vipers (ANA) | G | 29 | 1994-02-28 | No | 204 Lbs | 6 ft3 | No | No | No | 4 | Sans Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Trevor Murphy | Vipers (ANA) | D | 27 | 1995-10-12 | Yes | 180 Lbs | 5 ft10 | No | No | No | 1 | Avec Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Tyler Ennis | Vipers (ANA) | LW | 33 | 1989-10-06 | No | 160 Lbs | 5 ft9 | No | No | No | 1 | Sans Restriction | Pro & Farm | 1,000,000$ | 0$ | 0$ | No |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
14 | 26.93 | 197 Lbs | 6 ft1 | 2.36 | 875,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Darren Raddysh | Frederik Gauthier | 35 | 1 | 2 | 2 | |
2 | Nail Yakupov | Nolan Foote | 30 | 1 | 2 | 2 | |
3 | Tyler Ennis | Nolan Patrick | 25 | 1 | 2 | 2 | |
4 | Darren Raddysh | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | 35 | 1 | 2 | 2 | |||
2 | Dan Renouf | 30 | 1 | 2 | 2 | ||
3 | Lassi Thomson | 25 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Darren Raddysh | Frederik Gauthier | 55 | 1 | 2 | 2 | |
2 | Nail Yakupov | Nolan Foote | 45 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | 55 | 1 | 2 | 2 | |||
2 | Dan Renouf | 45 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Darren Raddysh | 45 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Dan Renouf | 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 | Dan Renouf | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Darren Raddysh | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Dan Renouf | 45 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Darren Raddysh | Frederik Gauthier |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Darren Raddysh | Frederik Gauthier |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Nolan Patrick, Tyler Ennis, Frederik Gauthier | Nolan Patrick, Tyler Ennis | Frederik Gauthier |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Lassi Thomson, Dan Renouf, | Lassi Thomson | Dan Renouf, |
Tirs de Pénalité |
---|
, , , Darren Raddysh, Frederik Gauthier |
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 |
Ligue | 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 |
1 | Barracudas | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 8 | 13 | 25 | 4 | 48 | 68 | 115 | 177 | 17 | 37 | 11 | 18 | 29 | 7 | 2 | 28.57% | 9 | 4 | 55.56% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
2 | Bayou | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 8 | 13 | 25 | 4 | 45 | 68 | 115 | 177 | 17 | 33 | 9 | 2 | 31 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
3 | Outlaws | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 8 | 13 | 25 | 4 | 22 | 68 | 115 | 177 | 17 | 24 | 9 | 4 | 7 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
4 | Predateurs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 10 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 8 | 13 | 25 | 4 | 72 | 68 | 115 | 177 | 17 | 72 | 23 | 38 | 39 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 1 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
5 | Rockets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 8 | 13 | 25 | 4 | 8 | 68 | 115 | 177 | 17 | 18 | 5 | 2 | 18 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
6 | Snowbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 8 | 13 | 25 | 4 | 41 | 68 | 115 | 177 | 17 | 31 | 12 | 2 | 14 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
7 | Supreme | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 8 | 13 | 25 | 4 | 28 | 68 | 115 | 177 | 17 | 38 | 15 | 8 | 9 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
Total | 14 | 5 | 4 | 0 | 3 | 1 | 1 | 0 | 50 | 43 | 7 | 7 | 3 | 3 | 0 | 0 | 0 | 1 | 0 | 25 | 23 | 2 | 7 | 2 | 1 | 0 | 3 | 1 | 0 | 0 | 25 | 20 | 5 | 19 | 0.679 | 50 | 89 | 139 | 0 | 1 | 8 | 13 | 25 | 4 | 371 | 68 | 115 | 177 | 17 | 346 | 100 | 105 | 207 | 38 | 8 | 21.05% | 40 | 10 | 75.00% | 1 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 | |
9 | Twins | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 5 | 10 | 0 | 0 | 8 | 13 | 25 | 4 | 37 | 68 | 115 | 177 | 17 | 34 | 5 | 12 | 18 | 2 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
10 | Vandals | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 8 | 13 | 25 | 4 | 22 | 68 | 115 | 177 | 17 | 23 | 4 | 4 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
11 | Wolves | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 8 | 13 | 25 | 4 | 48 | 68 | 115 | 177 | 17 | 36 | 7 | 15 | 21 | 9 | 3 | 33.33% | 5 | 0 | 100.00% | 0 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
_Since Last GM Reset | 14 | 5 | 4 | 0 | 3 | 1 | 1 | 0 | 50 | 43 | 7 | 7 | 3 | 3 | 0 | 0 | 0 | 1 | 0 | 25 | 23 | 2 | 7 | 2 | 1 | 0 | 3 | 1 | 0 | 0 | 25 | 20 | 5 | 19 | 0.679 | 50 | 89 | 139 | 0 | 1 | 8 | 13 | 25 | 4 | 371 | 68 | 115 | 177 | 17 | 346 | 100 | 105 | 207 | 38 | 8 | 21.05% | 40 | 10 | 75.00% | 1 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 | |
_Vs Conference | 13 | 4 | 4 | 0 | 3 | 1 | 1 | 0 | 48 | 43 | 5 | 7 | 3 | 3 | 0 | 0 | 0 | 1 | 0 | 25 | 23 | 2 | 6 | 1 | 1 | 0 | 3 | 1 | 0 | 0 | 23 | 20 | 3 | 17 | 0.654 | 48 | 86 | 134 | 0 | 0 | 8 | 13 | 25 | 4 | 363 | 68 | 115 | 177 | 17 | 328 | 95 | 103 | 189 | 36 | 8 | 22.22% | 39 | 10 | 74.36% | 1 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 | |
_Vs Division | 11 | 4 | 3 | 0 | 2 | 1 | 1 | 0 | 39 | 34 | 5 | 6 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 21 | 18 | 3 | 5 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 18 | 16 | 2 | 15 | 0.682 | 39 | 68 | 107 | 0 | 0 | 8 | 13 | 25 | 4 | 294 | 68 | 115 | 177 | 17 | 259 | 68 | 93 | 166 | 32 | 7 | 21.88% | 34 | 9 | 73.53% | 1 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
14 | 19 | OTW1 | 50 | 89 | 139 | 371 | 346 | 100 | 105 | 207 | 0 | 1 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 5 | 4 | 3 | 1 | 1 | 0 | 50 | 43 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 3 | 3 | 0 | 0 | 1 | 0 | 25 | 23 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 2 | 1 | 3 | 1 | 0 | 0 | 25 | 20 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 3 | 1 | 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 |
---|---|---|---|---|---|---|
38 | 8 | 21.05% | 40 | 10 | 75.00% | 1 |
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 |
---|---|---|---|---|---|---|---|
68 | 115 | 177 | 17 | 8 | 13 | 25 | 4 |
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 |
98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% |
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 |
302 | 193 | 313 | 121 | 231 | 109 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2024-04-06 | 10 | Outlaws | 3 | Vipers | 2 | L | Sommaire du Match | |||
2 - 2024-04-07 | 17 | Vipers | 4 | Predateurs | 3 | W | X | Sommaire du Match | ||
5 - 2024-04-10 | 43 | Vipers | 4 | Vandals | 3 | W | X | Sommaire du Match | ||
6 - 2024-04-11 | 48 | Twins | 4 | Vipers | 5 | W | X | X | Sommaire du Match | |
7 - 2024-04-12 | 59 | Vipers | 2 | Rockets | 0 | W | Sommaire du Match | |||
8 - 2024-04-13 | 79 | Vipers | 1 | Bayou | 2 | L | X | Sommaire du Match | ||
9 - 2024-04-14 | 93 | Wolves | 1 | Vipers | 3 | W | Sommaire du Match | |||
11 - 2024-04-16 | 115 | Snowbirds | 5 | Vipers | 4 | L | Sommaire du Match | |||
12 - 2024-04-17 | 128 | Vipers | 6 | Wolves | 2 | W | Sommaire du Match | |||
13 - 2024-04-18 | 140 | Vipers | 3 | Barracudas | 6 | L | Sommaire du Match | |||
15 - 2024-04-20 | 153 | Predateurs | 7 | Vipers | 4 | L | Sommaire du Match | |||
17 - 2024-04-22 | 172 | Bayou | 1 | Vipers | 4 | W | Sommaire du Match | |||
19 - 2024-04-24 | 196 | Barracudas | 2 | Vipers | 3 | W | Sommaire du Match | |||
20 - 2024-04-25 | 211 | Vipers | 5 | Supreme | 4 | W | X | Sommaire du Match | ||
21 - 2024-04-26 | 216 | Vipers | - | Twins | - | |||||
22 - 2024-04-27 | 236 | Vipers | - | Hunters | - | |||||
23 - 2024-04-28 | 247 | Goons | - | Vipers | - | |||||
25 - 2024-04-30 | 265 | Husky | - | Vipers | - | |||||
26 - 2024-05-01 | 279 | Vipers | - | Twins | - | |||||
28 - 2024-05-03 | 293 | Vipers | - | Wolves | - | |||||
29 - 2024-05-04 | 309 | Bandits | - | Vipers | - | |||||
30 - 2024-05-05 | 322 | Vipers | - | Saguenéens | - | |||||
32 - 2024-05-07 | 337 | Snowbirds | - | Vipers | - | |||||
34 - 2024-05-09 | 360 | Xpress | - | Vipers | - | |||||
35 - 2024-05-10 | 376 | Vipers | - | TigersCats | - | |||||
36 - 2024-05-11 | 387 | Vipers | - | Barracudas | - | |||||
38 - 2024-05-13 | 403 | Twins | - | Vipers | - | |||||
40 - 2024-05-15 | 418 | Vipers | - | Husky | - | |||||
41 - 2024-05-16 | 431 | Spartans | - | Vipers | - | |||||
43 - 2024-05-18 | 450 | Chiwawa | - | Vipers | - | |||||
44 - 2024-05-19 | 466 | Vipers | - | Snowbirds | - | |||||
45 - 2024-05-20 | 483 | Vipers | - | Grizzlies | - | |||||
46 - 2024-05-21 | 493 | Vipers | - | Marlies | - | |||||
47 - 2024-05-22 | 496 | Outlaws | - | Vipers | - | |||||
49 - 2024-05-24 | 522 | Scorpions | - | Vipers | - | |||||
51 - 2024-05-26 | 543 | CoolFm | - | Vipers | - | |||||
52 - 2024-05-27 | 556 | Vipers | - | Goons | - | |||||
53 - 2024-05-28 | 576 | TigersCats | - | Vipers | - | |||||
55 - 2024-05-30 | 593 | Vipers | - | CoolFm | - | |||||
57 - 2024-06-01 | 601 | Vipers | - | Outlaws | - | |||||
58 - 2024-06-02 | 619 | Bayou | - | Vipers | - | |||||
60 - 2024-06-04 | 641 | Vipers | - | Chiwawa | - | |||||
61 - 2024-06-05 | 645 | Raptors | - | Vipers | - | |||||
62 - 2024-06-06 | 660 | Vipers | - | Raptors | - | |||||
63 - 2024-06-07 | 675 | Vipers | - | Spartans | - | |||||
64 - 2024-06-08 | 682 | Igloos | - | Vipers | - | |||||
67 - 2024-06-11 | 710 | Smirnoff Ice | - | Vipers | - | |||||
68 - 2024-06-12 | 725 | Vipers | - | Warriors | - | |||||
69 - 2024-06-13 | 740 | Hunters | - | Vipers | - | |||||
71 - 2024-06-15 | 758 | Vipers | - | Xpress | - | |||||
72 - 2024-06-16 | 771 | Predateurs | - | Vipers | - | |||||
73 - 2024-06-17 | 787 | Vipers | - | Igloos | - | |||||
74 - 2024-06-18 | 805 | Warriors | - | Vipers | - | |||||
75 - 2024-06-19 | 814 | Vipers | - | Farmers | - | |||||
77 - 2024-06-21 | 834 | Supreme | - | Vipers | - | |||||
78 - 2024-06-22 | 853 | Vipers | - | Outlaws | - | |||||
79 - 2024-06-23 | 864 | Farmers | - | Vipers | - | |||||
82 - 2024-06-26 | 887 | Vipers | - | Smirnoff Ice | - | |||||
83 - 2024-06-27 | 897 | Thugs | - | Vipers | - | |||||
85 - 2024-06-29 | 915 | Marlies | - | Vipers | - | |||||
86 - 2024-06-30 | 927 | Vipers | - | Rockets | - | |||||
88 - 2024-07-02 | 947 | Rockets | - | Vipers | - | |||||
89 - 2024-07-03 | 960 | Vipers | - | Vandals | - | |||||
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
90 - 2024-07-04 | 969 | Vipers | - | Bayou | - | |||||
91 - 2024-07-05 | 985 | Saguenéens | - | Vipers | - | |||||
93 - 2024-07-07 | 1009 | Marmots | - | Vipers | - | |||||
95 - 2024-07-09 | 1026 | Vipers | - | Predateurs | - | |||||
96 - 2024-07-10 | 1040 | Vipers | - | Marmots | - | |||||
97 - 2024-07-11 | 1051 | Vandals | - | Vipers | - | |||||
100 - 2024-07-14 | 1073 | Barracudas | - | Vipers | - | |||||
103 - 2024-07-17 | 1099 | Grizzlies | - | Vipers | - | |||||
105 - 2024-07-19 | 1115 | Vipers | - | Scorpions | - | |||||
107 - 2024-07-21 | 1131 | Vandals | - | Vipers | - | |||||
109 - 2024-07-23 | 1150 | Wolves | - | Vipers | - | |||||
110 - 2024-07-24 | 1155 | Vipers | - | Thugs | - | |||||
112 - 2024-07-26 | 1170 | Vipers | - | Bandits | - |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 14,000 | 6,975 |
Assistance PCT | 100.00% | 99.64% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
31 | 2996 - 99.88% | 101,936$ | 713,550$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
419,073$ | 1,225,000$ | 1,225,000$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 239,863$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
3,160,007$ | 93 | 19,690$ | 1,831,170$ |
Ligue | 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 |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45 | 82 | 30 | 32 | 0 | 8 | 4 | 2 | 6 | 276 | 277 | -1 | 41 | 18 | 17 | 0 | 4 | 0 | 0 | 2 | 141 | 130 | 11 | 41 | 12 | 15 | 0 | 4 | 4 | 2 | 4 | 135 | 147 | -12 | 90 | 276 | 473 | 749 | 4 | 1 | 40 | 103 | 123 | 12 | 2279 | 546 | 795 | 915 | 55 | 2274 | 722 | 571 | 1178 | 247 | 53 | 21.46% | 197 | 39 | 80.20% | 6 | 720 | 1489 | 48.35% | 696 | 1432 | 48.60% | 638 | 1315 | 48.52% | 1837 | 1231 | 1925 | 634 | 1209 | 587 |
46 | 82 | 33 | 28 | 0 | 5 | 10 | 3 | 3 | 313 | 301 | 12 | 41 | 15 | 13 | 0 | 2 | 9 | 1 | 1 | 150 | 153 | -3 | 41 | 18 | 15 | 0 | 3 | 1 | 2 | 2 | 163 | 148 | 15 | 95 | 313 | 525 | 838 | 1 | 2 | 65 | 119 | 121 | 12 | 2317 | 588 | 842 | 855 | 52 | 2333 | 784 | 490 | 1345 | 254 | 57 | 22.44% | 196 | 51 | 73.98% | 11 | 698 | 1522 | 45.86% | 682 | 1555 | 43.86% | 636 | 1341 | 47.43% | 1807 | 1164 | 1866 | 659 | 1302 | 642 |
47 | 14 | 5 | 4 | 0 | 3 | 1 | 1 | 0 | 50 | 43 | 7 | 7 | 3 | 3 | 0 | 0 | 0 | 1 | 0 | 25 | 23 | 2 | 7 | 2 | 1 | 0 | 3 | 1 | 0 | 0 | 25 | 20 | 5 | 19 | 50 | 89 | 139 | 0 | 1 | 8 | 13 | 25 | 4 | 371 | 68 | 115 | 177 | 17 | 346 | 100 | 105 | 207 | 38 | 8 | 21.05% | 40 | 10 | 75.00% | 1 | 98 | 219 | 44.75% | 101 | 222 | 45.50% | 78 | 197 | 39.59% | 302 | 193 | 313 | 121 | 231 | 109 |
Total Saison Régulière | 178 | 68 | 64 | 0 | 16 | 15 | 6 | 9 | 639 | 621 | 18 | 89 | 36 | 33 | 0 | 6 | 9 | 2 | 3 | 316 | 306 | 10 | 89 | 32 | 31 | 0 | 10 | 6 | 4 | 6 | 323 | 315 | 8 | 204 | 639 | 1087 | 1726 | 5 | 4 | 113 | 235 | 269 | 28 | 4967 | 1202 | 1752 | 1947 | 124 | 4953 | 1606 | 1166 | 2730 | 539 | 118 | 21.89% | 433 | 100 | 76.91% | 18 | 1516 | 3230 | 46.93% | 1479 | 3209 | 46.09% | 1352 | 2853 | 47.39% | 3947 | 2589 | 4105 | 1415 | 2743 | 1339 |
Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45 | 19 | 10 | 9 | 0 | 0 | 0 | 0 | 0 | 74 | 77 | -3 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 35 | 31 | 4 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 39 | 46 | -7 | 20 | 74 | 127 | 201 | 0 | 0 | 17 | 25 | 29 | 3 | 607 | 125 | 210 | 257 | 15 | 681 | 212 | 194 | 288 | 69 | 17 | 24.64% | 68 | 16 | 76.47% | 1 | 171 | 395 | 43.29% | 208 | 428 | 48.60% | 165 | 316 | 52.22% | 356 | 201 | 500 | 157 | 300 | 150 |
Total Séries | 19 | 10 | 9 | 0 | 0 | 0 | 0 | 0 | 74 | 77 | -3 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 35 | 31 | 4 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 39 | 46 | -7 | 20 | 74 | 127 | 201 | 0 | 0 | 17 | 25 | 29 | 3 | 607 | 125 | 210 | 257 | 15 | 681 | 212 | 194 | 288 | 69 | 17 | 24.64% | 68 | 16 | 76.47% | 1 | 171 | 395 | 43.29% | 208 | 428 | 48.60% | 165 | 316 | 52.22% | 356 | 201 | 500 | 157 | 300 | 150 |