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 | Chandler Stephenson | 0 | X | 100.00 | 44 | 34 | 72 | 44 | 60 | 58 | 84 | 72 | 63 | 83 | 77 | 74 | 64 | 52 | 51 | 0 | 50 | 80 | 0 | ||||
2 | Joonas Donskoi | 0 | X | 100.00 | 40 | 34 | 72 | 33 | 49 | 68 | 67 | 72 | 40 | 84 | 82 | 69 | 81 | 59 | 52 | 0 | 50 | 80 | 0 | ||||
3 | Oskar Lindblom (R) | 0 | X | X | 100.00 | 69 | 26 | 76 | 47 | 47 | 65 | 76 | 61 | 30 | 76 | 79 | 76 | 63 | 46 | 50 | 0 | 47 | 77 | 0 | |||
4 | Marko Dano | 0 | X | X | X | 100.00 | 84 | 34 | 65 | 43 | 65 | 39 | 73 | 67 | 34 | 79 | 81 | 56 | 62 | 47 | 42 | 0 | 50 | 73 | 0 | ||
5 | Seth Griffith | 0 | X | 100.00 | 53 | 33 | 64 | 45 | 39 | 52 | 77 | 61 | 34 | 78 | 76 | 70 | 71 | 52 | 46 | 0 | 50 | 73 | 0 | ||||
6 | Tomas Hyka (R) | 0 | X | 100.00 | 46 | 22 | 89 | 53 | 27 | 55 | 74 | 59 | 30 | 71 | 76 | 57 | 64 | 49 | 38 | 0 | 47 | 69 | 0 | ||||
7 | Brandon Manning | 0 | X | 100.00 | 76 | 50 | 54 | 47 | 78 | 65 | 72 | 84 | 31 | 82 | 75 | 70 | 59 | 53 | 63 | 0 | 50 | 85 | 0 | ||||
8 | Robert Bortuzzo | 0 | X | 100.00 | 82 | 50 | 63 | 48 | 87 | 52 | 64 | 82 | 26 | 80 | 73 | 76 | 59 | 55 | 54 | 0 | 50 | 81 | 0 | ||||
9 | Matt Irwin | 0 | X | 100.00 | 72 | 34 | 74 | 48 | 73 | 50 | 82 | 82 | 25 | 81 | 73 | 67 | 65 | 58 | 45 | 0 | 47 | 80 | 0 | ||||
Rayé | |||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 63 | 35 | 70 | 45 | 58 | 56 | 74 | 71 | 35 | 79 | 77 | 68 | 65 | 52 | 49 | 0 | 49 | 78 |
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 | Malcolm Subban | 100.00 | 84 | 75 | 72 | 79 | 87 | 87 | 90 | 87 | 90 | 58 | 84 | 42 | 66 | 0 | 50 | 84 | 0 | |
2 | Jared Coreau | 100.00 | 82 | 91 | 68 | 83 | 81 | 84 | 86 | 84 | 87 | 63 | 73 | 42 | 61 | 0 | 50 | 82 | 0 | |
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 83 | 83 | 70 | 81 | 84 | 86 | 88 | 86 | 89 | 61 | 79 | 42 | 64 | 0 | 50 | 83 |
Nom du Coach | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chandler Stephenson | Diabotins (HEL) | C | 74 | 46 | 98 | 144 | 46 | 44 | 0 | 49 | 202 | 321 | 127 | 184 | 14.33% | 107 | 1763 | 23.83 | 11 | 25 | 36 | 60 | 249 | 0 | 3 | 3 | 6 | 187 | 6 | 1 | 57.32% | 2111 | 74 | 69 | 0 | 3 | 1.63 | 2 | 6 | 0 | 0 | 0 | 4 | 7 | 3 |
2 | Marko Dano | Diabotins (HEL) | C/LW/RW | 74 | 51 | 68 | 119 | 37 | 48 | 0 | 187 | 97 | 311 | 110 | 189 | 16.40% | 53 | 1614 | 21.82 | 11 | 12 | 23 | 52 | 224 | 2 | 1 | 3 | 3 | 84 | 5 | 1 | 45.68% | 243 | 88 | 25 | 2 | 3 | 1.47 | 2 | 5 | 0 | 0 | 0 | 4 | 7 | 3 |
3 | Brandon Manning | Diabotins (HEL) | D | 74 | 39 | 65 | 104 | 34 | 126 | 10 | 312 | 131 | 322 | 129 | 139 | 12.11% | 154 | 1986 | 26.84 | 9 | 13 | 22 | 86 | 333 | 1 | 1 | 2 | 11 | 157 | 2 | 1 | 45.45% | 11 | 100 | 51 | 0 | 3 | 1.05 | 0 | 0 | 0 | 2 | 0 | 6 | 3 | 2 |
4 | Oskar Lindblom | Diabotins (HEL) | LW/RW | 74 | 44 | 59 | 103 | 54 | 22 | 0 | 89 | 154 | 243 | 79 | 129 | 18.11% | 83 | 1673 | 22.62 | 11 | 15 | 26 | 52 | 247 | 2 | 1 | 3 | 8 | 209 | 2 | 3 | 44.46% | 704 | 43 | 58 | 0 | 4 | 1.23 | 1 | 6 | 0 | 0 | 0 | 0 | 1 | 4 |
5 | Robert Bortuzzo | Diabotins (HEL) | D | 74 | 35 | 67 | 102 | 47 | 75 | 5 | 272 | 123 | 240 | 95 | 114 | 14.58% | 161 | 1783 | 24.10 | 7 | 20 | 27 | 53 | 278 | 1 | 1 | 2 | 3 | 167 | 1 | 3 | 50.00% | 8 | 52 | 72 | 0 | 4 | 1.14 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 7 |
6 | Matt Irwin | Diabotins (HEL) | D | 74 | 25 | 51 | 76 | 38 | 30 | 0 | 174 | 125 | 196 | 91 | 96 | 12.76% | 119 | 1571 | 21.23 | 3 | 6 | 9 | 39 | 215 | 1 | 1 | 2 | 5 | 211 | 3 | 0 | 58.33% | 12 | 57 | 50 | 0 | 2 | 0.97 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 8 |
7 | Tomas Hyka | Diabotins (HEL) | RW | 74 | 30 | 33 | 63 | -25 | 4 | 0 | 87 | 217 | 286 | 95 | 192 | 10.49% | 161 | 1702 | 23.00 | 2 | 5 | 7 | 13 | 150 | 0 | 0 | 0 | 1 | 32 | 0 | 0 | 37.38% | 709 | 76 | 74 | 0 | 4 | 0.74 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Seth Griffith | Diabotins (HEL) | LW | 74 | 22 | 34 | 56 | 32 | 44 | 0 | 91 | 128 | 196 | 60 | 115 | 11.22% | 74 | 1519 | 20.53 | 3 | 4 | 7 | 17 | 206 | 0 | 2 | 2 | 5 | 124 | 1 | 0 | 42.51% | 287 | 31 | 53 | 0 | 3 | 0.74 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Joonas Donskoi | Diabotins (HEL) | RW | 11 | 9 | 14 | 23 | 16 | 6 | 0 | 2 | 18 | 37 | 9 | 20 | 24.32% | 4 | 222 | 20.25 | 1 | 3 | 4 | 6 | 36 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 42.11% | 19 | 7 | 5 | 0 | 1 | 2.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Stats d'équipe Total ou en Moyenne | 603 | 301 | 489 | 790 | 279 | 399 | 15 | 1263 | 1195 | 2152 | 795 | 1178 | 13.99% | 916 | 13836 | 22.95 | 58 | 103 | 161 | 378 | 1941 | 7 | 10 | 17 | 43 | 1196 | 20 | 9 | 49.83% | 4104 | 528 | 457 | 2 | 27 | 1.14 | 5 | 22 | 0 | 2 | 1 | 16 | 21 | 28 |
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 | Jared Coreau | Diabotins (HEL) | 74 | 22 | 45 | 7 | 0.905 | 3.67 | 4442 | 4 | 4 | 272 | 2853 | 1559 | 1 | 1 | 0.727 | 22 | 74 | 0 | 10 | 5 | 2 |
Stats d'équipe Total ou en Moyenne | 74 | 22 | 45 | 7 | 0.905 | 3.67 | 4442 | 4 | 4 | 272 | 2853 | 1559 | 1 | 1 | 0.727 | 22 | 74 | 0 | 10 | 5 | 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 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Manning | Diabotins (HEL) | D | 28 | 1990-06-04 | No | 205 Lbs | 185 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 975,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Chandler Stephenson | Diabotins (HEL) | C | 24 | 1994-04-22 | No | 203 Lbs | 183 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Jared Coreau | Diabotins (HEL) | G | 26 | 1991-11-05 | No | 220 Lbs | 198 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 612,500$ | 0$ | 0$ | No | Lien |
Joonas Donskoi | Diabotins (HEL) | RW | 26 | 1992-04-13 | No | 190 Lbs | 183 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 1,900,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Malcolm Subban | Diabotins (HEL) | G | 24 | 1993-12-21 | No | 200 Lbs | 188 CM | No | No | No | 2 | Avec Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien |
Marko Dano | Diabotins (HEL) | C/LW/RW | 23 | 1994-11-30 | No | 212 Lbs | 180 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Matt Irwin | Diabotins (HEL) | D | 30 | 1987-11-29 | No | 207 Lbs | 185 CM | No | No | No | 1 | Sans Restriction | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Oskar Lindblom | Diabotins (HEL) | LW/RW | 22 | 1996-08-15 | Yes | 191 Lbs | 185 CM | No | No | No | 2 | Contrat d'Entrée | Pro & Farm | 1,137,500$ | 0$ | 0$ | No | Lien |
Robert Bortuzzo | Diabotins (HEL) | D | 29 | 1989-03-18 | No | 216 Lbs | 193 CM | No | No | No | 1 | Sans Restriction | Pro & Farm | 1,380,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Seth Griffith | Diabotins (HEL) | LW | 25 | 1993-01-04 | No | 190 Lbs | 175 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 625,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Tomas Hyka | Diabotins (HEL) | RW | 25 | 1993-03-23 | Yes | 160 Lbs | 180 CM | No | No | No | 2 | Avec Restriction | Pro & Farm | 710,000$ | 0$ | 0$ | No | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
11 | 25.64 | 199 Lbs | 185 CM | 1.27 | 978,636$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Oskar Lindblom | Chandler Stephenson | Marko Dano | 40 | 1 | 2 | 2 |
2 | Seth Griffith | Chandler Stephenson | Tomas Hyka | 30 | 1 | 2 | 2 |
3 | Marko Dano | Oskar Lindblom | Seth Griffith | 20 | 1 | 2 | 2 |
4 | Tomas Hyka | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Brandon Manning | Robert Bortuzzo | 40 | 1 | 2 | 2 | |
2 | Matt Irwin | Brandon Manning | 30 | 1 | 2 | 2 | |
3 | Robert Bortuzzo | Matt Irwin | 20 | 1 | 2 | 2 | |
4 | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Oskar Lindblom | Chandler Stephenson | Marko Dano | 60 | 1 | 2 | 2 |
2 | Seth Griffith | Chandler Stephenson | Tomas Hyka | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Brandon Manning | Robert Bortuzzo | 60 | 1 | 2 | 2 | |
2 | Matt Irwin | Brandon Manning | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Chandler Stephenson | Oskar Lindblom | 60 | 1 | 2 | 2 |
2 | Marko Dano | Seth Griffith | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Brandon Manning | Robert Bortuzzo | 60 | 1 | 2 | 2 |
2 | Matt Irwin | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Chandler Stephenson | 60 | 1 | 2 | 2 | Brandon Manning | Robert Bortuzzo | 60 | 1 | 2 | 2 |
2 | Oskar Lindblom | 40 | 1 | 2 | 2 | Matt Irwin | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Chandler Stephenson | Oskar Lindblom | 60 | 1 | 2 | 2 |
2 | Marko Dano | Seth Griffith | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Brandon Manning | Robert Bortuzzo | 60 | 1 | 2 | 2 |
2 | Matt Irwin | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Oskar Lindblom | Chandler Stephenson | Marko Dano | Brandon Manning | Robert Bortuzzo |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Oskar Lindblom | Chandler Stephenson | Marko Dano | Brandon Manning | Robert Bortuzzo |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Tomas Hyka, Marko Dano, Seth Griffith | Tomas Hyka, Marko Dano | Seth Griffith |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Robert Bortuzzo, Matt Irwin, Brandon Manning | Robert Bortuzzo | Matt Irwin, Brandon Manning |
Tirs de Pénalité |
---|
Chandler Stephenson, Oskar Lindblom, Marko Dano, Seth Griffith, Tomas Hyka |
Gardien |
---|
#1 : Jared Coreau, #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 | Barbarians | 5 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 10 | 19 | -9 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 0.200 | 10 | 18 | 28 | 0 | 0 | 76 | 110 | 103 | 8 | 130 | 700 | 689 | 735 | 58 | 207 | 77 | 32 | 86 | 3 | 2 | 66.67% | 16 | 1 | 93.75% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
2 | Barracuda | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 76 | 110 | 103 | 8 | 81 | 700 | 689 | 735 | 58 | 102 | 36 | 16 | 65 | 12 | 3 | 25.00% | 8 | 3 | 62.50% | 1 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
3 | Benchwarmers | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 11 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 4 | 0.667 | 15 | 26 | 41 | 0 | 0 | 76 | 110 | 103 | 8 | 82 | 700 | 689 | 735 | 58 | 113 | 35 | 18 | 55 | 14 | 4 | 28.57% | 9 | 2 | 77.78% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
4 | Caribou | 5 | 0 | 2 | 0 | 0 | 1 | 0 | 2 | 13 | 25 | -12 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | -2 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 7 | 17 | -10 | 3 | 0.300 | 13 | 23 | 36 | 0 | 0 | 76 | 110 | 103 | 8 | 178 | 700 | 689 | 735 | 58 | 177 | 61 | 18 | 104 | 22 | 5 | 22.73% | 10 | 6 | 40.00% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
5 | Casse-Tete | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 19 | -16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 16 | -14 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 76 | 110 | 103 | 8 | 80 | 700 | 689 | 735 | 58 | 113 | 49 | 2 | 46 | 9 | 1 | 11.11% | 1 | 0 | 100.00% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
6 | Chevalier | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 7 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 7 | 0.875 | 11 | 19 | 30 | 0 | 0 | 76 | 110 | 103 | 8 | 102 | 700 | 689 | 735 | 58 | 145 | 54 | 20 | 75 | 7 | 2 | 28.57% | 10 | 2 | 80.00% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
7 | Evil Saints | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 24 | -16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 76 | 110 | 103 | 8 | 138 | 700 | 689 | 735 | 58 | 167 | 77 | 22 | 59 | 8 | 1 | 12.50% | 11 | 1 | 90.91% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
8 | Giants | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 9 | 26 | -17 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 15 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 1 | 0.125 | 9 | 15 | 24 | 0 | 0 | 76 | 110 | 103 | 8 | 132 | 700 | 689 | 735 | 58 | 171 | 62 | 26 | 67 | 18 | 3 | 16.67% | 13 | 6 | 53.85% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
9 | Hooligans | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 15 | -3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 6 | 0.750 | 12 | 23 | 35 | 0 | 0 | 76 | 110 | 103 | 8 | 125 | 700 | 689 | 735 | 58 | 174 | 75 | 22 | 65 | 11 | 3 | 27.27% | 11 | 1 | 90.91% | 1 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
10 | Hybrides | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 6 | 13 | -7 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0.125 | 6 | 8 | 14 | 0 | 0 | 76 | 110 | 103 | 8 | 111 | 700 | 689 | 735 | 58 | 141 | 52 | 28 | 77 | 18 | 2 | 11.11% | 14 | 1 | 92.86% | 1 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
11 | Jardiniers | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 10 | -2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 5 | 0.625 | 8 | 13 | 21 | 0 | 0 | 76 | 110 | 103 | 8 | 107 | 700 | 689 | 735 | 58 | 186 | 41 | 27 | 79 | 25 | 4 | 16.00% | 11 | 1 | 90.91% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
12 | Leftovers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 76 | 110 | 103 | 8 | 78 | 700 | 689 | 735 | 58 | 120 | 46 | 19 | 53 | 15 | 4 | 26.67% | 7 | 1 | 85.71% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
13 | Pirates | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.200 | 12 | 18 | 30 | 1 | 0 | 76 | 110 | 103 | 8 | 136 | 700 | 689 | 735 | 58 | 161 | 60 | 18 | 101 | 19 | 2 | 10.53% | 9 | 4 | 55.56% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
14 | Remparts | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0 | 133 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 72 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0 | 61 | 8 | 1.000 | 133 | 234 | 367 | 0 | 4 | 76 | 110 | 103 | 8 | 149 | 700 | 689 | 735 | 58 | 68 | 22 | 20 | 69 | 3 | 3 | 100.00% | 10 | 0 | 100.00% | 2 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
15 | Requins | 5 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 12 | 24 | -12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.200 | 12 | 19 | 31 | 0 | 0 | 76 | 110 | 103 | 8 | 137 | 700 | 689 | 735 | 58 | 215 | 60 | 30 | 80 | 24 | 7 | 29.17% | 15 | 3 | 80.00% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
16 | Royaux | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 22 | -12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | -9 | 4 | 0.500 | 10 | 16 | 26 | 0 | 0 | 76 | 110 | 103 | 8 | 95 | 700 | 689 | 735 | 58 | 180 | 60 | 39 | 77 | 20 | 5 | 25.00% | 17 | 5 | 70.59% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
17 | St Johns | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 12 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 6 | -3 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 76 | 110 | 103 | 8 | 130 | 700 | 689 | 735 | 58 | 202 | 68 | 32 | 59 | 8 | 2 | 25.00% | 16 | 4 | 75.00% | 2 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
Total | 74 | 17 | 45 | 0 | 3 | 3 | 2 | 4 | 294 | 297 | -3 | 37 | 9 | 21 | 0 | 1 | 2 | 1 | 3 | 157 | 138 | 19 | 37 | 8 | 24 | 0 | 2 | 1 | 1 | 1 | 137 | 159 | -22 | 51 | 0.345 | 294 | 506 | 800 | 1 | 4 | 76 | 110 | 103 | 8 | 2160 | 700 | 689 | 735 | 58 | 2874 | 1019 | 437 | 1329 | 257 | 57 | 22.18% | 212 | 49 | 76.89% | 7 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 | |
19 | Werewolves | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 18 | -12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 76 | 110 | 103 | 8 | 94 | 700 | 689 | 735 | 58 | 130 | 49 | 32 | 52 | 8 | 3 | 37.50% | 16 | 6 | 62.50% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
20 | Zombie | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 76 | 110 | 103 | 8 | 75 | 700 | 689 | 735 | 58 | 102 | 35 | 16 | 60 | 13 | 1 | 7.69% | 8 | 2 | 75.00% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
_Since Last GM Reset | 74 | 17 | 45 | 0 | 3 | 3 | 2 | 4 | 294 | 297 | -3 | 37 | 9 | 21 | 0 | 1 | 2 | 1 | 3 | 157 | 138 | 19 | 37 | 8 | 24 | 0 | 2 | 1 | 1 | 1 | 137 | 159 | -22 | 51 | 0.345 | 294 | 506 | 800 | 1 | 4 | 76 | 110 | 103 | 8 | 2160 | 700 | 689 | 735 | 58 | 2874 | 1019 | 437 | 1329 | 257 | 57 | 22.18% | 212 | 49 | 76.89% | 7 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 | |
_Vs Conference | 36 | 13 | 18 | 0 | 2 | 0 | 1 | 2 | 218 | 128 | 90 | 18 | 7 | 9 | 0 | 0 | 0 | 0 | 2 | 117 | 66 | 51 | 18 | 6 | 9 | 0 | 2 | 0 | 1 | 0 | 101 | 62 | 39 | 34 | 0.472 | 218 | 377 | 595 | 1 | 4 | 76 | 110 | 103 | 8 | 1076 | 700 | 689 | 735 | 58 | 1410 | 469 | 212 | 628 | 137 | 32 | 23.36% | 101 | 22 | 78.22% | 5 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 | |
_Vs Division | 21 | 4 | 10 | 0 | 2 | 0 | 0 | 1 | 46 | 77 | -31 | 11 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 24 | 39 | -15 | 10 | 2 | 4 | 0 | 2 | 0 | 0 | 0 | 22 | 38 | -16 | 13 | 0.310 | 46 | 74 | 120 | 1 | 0 | 76 | 110 | 103 | 8 | 562 | 700 | 689 | 735 | 58 | 820 | 264 | 97 | 381 | 84 | 16 | 19.05% | 46 | 10 | 78.26% | 0 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
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 |
74 | 51 | W1 | 294 | 506 | 800 | 2160 | 2874 | 1019 | 437 | 1329 | 1 | 4 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 17 | 45 | 3 | 3 | 2 | 4 | 294 | 297 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 9 | 21 | 1 | 2 | 1 | 3 | 157 | 138 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 8 | 24 | 2 | 1 | 1 | 1 | 137 | 159 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 5 | 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 |
---|---|---|---|---|---|---|
257 | 57 | 22.18% | 212 | 49 | 76.89% | 7 |
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 |
---|---|---|---|---|---|---|---|
700 | 689 | 735 | 58 | 76 | 110 | 103 | 8 |
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 |
685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% |
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 |
1501 | 928 | 1855 | 605 | 1127 | 546 |
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 de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
4 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
837,466$ | 1,076,500$ | 556,250$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
6,645$ | 837,466$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 19 | 6,645$ | 126,255$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 84 | 18 | 41 | 0 | 6 | 2 | 6 | 11 | 241 | 311 | -70 | 42 | 11 | 14 | 0 | 4 | 2 | 5 | 6 | 150 | 141 | 9 | 42 | 7 | 27 | 0 | 2 | 0 | 1 | 5 | 91 | 170 | -79 | 36 | 241 | 362 | 603 | 1 | 1 | 82 | 71 | 76 | 18 | 2085 | 691 | 636 | 692 | 129 | 2854 | 1054 | 261 | 1583 | 264 | 50 | 18.94% | 129 | 17 | 86.82% | 2 | 512 | 1366 | 37.48% | 503 | 1658 | 30.34% | 374 | 1112 | 33.63% | 1633 | 1015 | 2267 | 663 | 1245 | 591 |
2017 | 84 | 16 | 52 | 0 | 5 | 5 | 0 | 6 | 136 | 447 | -311 | 42 | 9 | 22 | 0 | 4 | 4 | 0 | 3 | 77 | 232 | -155 | 42 | 7 | 30 | 0 | 1 | 1 | 0 | 3 | 59 | 215 | -156 | 32 | 136 | 242 | 378 | 2 | 4 | 32 | 48 | 51 | 11 | 1805 | 555 | 582 | 635 | 58 | 2485 | 933 | 516 | 1474 | 282 | 42 | 14.89% | 262 | 40 | 84.73% | 7 | 698 | 1366 | 51.10% | 820 | 1580 | 51.90% | 526 | 1172 | 44.88% | 1702 | 985 | 2001 | 721 | 1391 | 691 |
2017 | 84 | 38 | 31 | 0 | 4 | 5 | 3 | 3 | 330 | 313 | 17 | 42 | 23 | 12 | 0 | 1 | 2 | 2 | 2 | 163 | 133 | 30 | 42 | 15 | 19 | 0 | 3 | 3 | 1 | 1 | 167 | 180 | -13 | 76 | 330 | 538 | 868 | 2 | 2 | 118 | 110 | 95 | 7 | 2769 | 922 | 936 | 895 | 37 | 2461 | 912 | 419 | 1510 | 307 | 81 | 26.38% | 209 | 46 | 77.99% | 18 | 814 | 1783 | 45.65% | 606 | 1483 | 40.86% | 566 | 1216 | 46.55% | 1942 | 1312 | 1935 | 638 | 1205 | 591 |
2018 | 74 | 17 | 45 | 0 | 3 | 3 | 2 | 4 | 294 | 297 | -3 | 37 | 9 | 21 | 0 | 1 | 2 | 1 | 3 | 157 | 138 | 19 | 37 | 8 | 24 | 0 | 2 | 1 | 1 | 1 | 137 | 159 | -22 | 51 | 294 | 506 | 800 | 1 | 4 | 76 | 110 | 103 | 8 | 2160 | 700 | 689 | 735 | 58 | 2874 | 1019 | 437 | 1329 | 257 | 57 | 22.18% | 212 | 49 | 76.89% | 7 | 685 | 1362 | 50.29% | 781 | 1676 | 46.60% | 591 | 1151 | 51.35% | 1501 | 928 | 1855 | 605 | 1127 | 546 |
Total Saison Régulière | 326 | 89 | 169 | 0 | 18 | 15 | 11 | 24 | 1001 | 1368 | -367 | 163 | 52 | 69 | 0 | 10 | 10 | 8 | 14 | 547 | 644 | -97 | 163 | 37 | 100 | 0 | 8 | 5 | 3 | 10 | 454 | 724 | -270 | 195 | 1001 | 1648 | 2649 | 6 | 11 | 308 | 339 | 325 | 44 | 8819 | 2868 | 2843 | 2957 | 282 | 10674 | 3918 | 1633 | 5896 | 1110 | 230 | 20.72% | 812 | 152 | 81.28% | 34 | 2709 | 5877 | 46.09% | 2710 | 6397 | 42.36% | 2057 | 4651 | 44.23% | 6780 | 4242 | 8060 | 2629 | 4969 | 2421 |
Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 22 | -19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | -15 | 0 | 3 | 3 | 6 | 0 | 0 | 0 | 3 | 0 | 0 | 77 | 29 | 21 | 23 | 4 | 169 | 58 | 14 | 64 | 10 | 2 | 20.00% | 7 | 4 | 42.86% | 0 | 16 | 64 | 25.00% | 25 | 104 | 24.04% | 9 | 49 | 18.37% | 67 | 39 | 128 | 32 | 57 | 25 |
2016 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 4 | 0 | 94 | 20 | 47 | 23 | 4 | 150 | 57 | 15 | 70 | 21 | 2 | 9.52% | 5 | 0 | 100.00% | 0 | 6 | 87 | 6.90% | 18 | 91 | 19.78% | 6 | 46 | 13.04% | 66 | 39 | 129 | 33 | 51 | 23 |
2017 | 16 | 9 | 7 | 0 | 0 | 0 | 0 | 0 | 47 | 54 | -7 | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 28 | 20 | 8 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 19 | 34 | -15 | 18 | 47 | 80 | 127 | 0 | 0 | 19 | 12 | 13 | 3 | 546 | 182 | 189 | 163 | 12 | 574 | 213 | 86 | 238 | 86 | 24 | 27.91% | 43 | 8 | 81.40% | 0 | 161 | 398 | 40.45% | 126 | 361 | 34.90% | 83 | 224 | 37.05% | 359 | 243 | 411 | 130 | 223 | 105 |
Total Séries | 24 | 9 | 15 | 0 | 0 | 0 | 0 | 0 | 55 | 86 | -31 | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 33 | 32 | 1 | 12 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 22 | 54 | -32 | 18 | 55 | 91 | 146 | 0 | 0 | 19 | 16 | 17 | 3 | 717 | 231 | 257 | 209 | 20 | 893 | 328 | 115 | 372 | 117 | 28 | 23.93% | 55 | 12 | 78.18% | 0 | 183 | 549 | 33.33% | 169 | 556 | 30.40% | 98 | 319 | 30.72% | 493 | 322 | 670 | 195 | 332 | 154 |