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Lake Erie Lake Erie 55-17-2, 112pts · 2nd in Conference Ouest |
Lake Erie | |
GP: 74 | W: 55 | L: 17 | OTL: 2 | P: 112 GF: 196 | GA: 114 | PP%: 38.35% | PK%: 83.87% DG: Andrew Beer | Morale : 99 | Moyenne d’équipe : N/A |
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Priority | Type | Description |
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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 |
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1 | Joseph Veleno | X | 100.00 | 79 | 54 | 90 | 82 | 71 | 66 | 98 | 70 | 76 | 65 | 68 | 72 | 25 | 64 | 64 | 72 | 98 | 0 | 0 | 23 | 1 | 825,000$ | ||||
2 | Mark Kastelic | X | X | 100.00 | 85 | 99 | 72 | 72 | 86 | 48 | 85 | 64 | 76 | 58 | 58 | 66 | 25 | 59 | 59 | 64 | 91 | 0 | 0 | 24 | 2 | 835,000$ | |||
3 | Filip Zadina | X | X | 100.00 | 71 | 42 | 91 | 80 | 68 | 65 | 69 | 73 | 35 | 62 | 71 | 70 | 25 | 65 | 65 | 70 | 99 | 0 | 0 | 23 | 2 | 1,825,000$ | |||
4 | Raphael Lavoie (R) | X | X | 100.00 | 74 | 75 | 73 | 68 | 75 | 78 | 82 | 64 | 80 | 57 | 68 | 64 | 65 | 44 | 44 | 67 | 95 | 0 | 0 | 23 | 1 | 874,125$ | |||
5 | Oskar Olausson (R) | X | 100.00 | 72 | 68 | 82 | 66 | 68 | 67 | 69 | 59 | 50 | 51 | 63 | 62 | 60 | 44 | 44 | 62 | 87 | 0 | 0 | 20 | 2 | 894,167$ | ||||
6 | Nikita Chibrikov (R) | X | X | 100.00 | 67 | 62 | 78 | 61 | 62 | 70 | 72 | 62 | 50 | 60 | 61 | 60 | 58 | 44 | 44 | 62 | 99 | 0 | 0 | 20 | 1 | 545,000$ | |||
7 | Rem Pitlick | X | 100.00 | 75 | 70 | 86 | 75 | 70 | 79 | 82 | 68 | 50 | 65 | 65 | 69 | 62 | 59 | 59 | 69 | 99 | 0 | 0 | 26 | 2 | 1,100,000$ | ||||
8 | Calle Rosen | X | 100.00 | 76 | 69 | 92 | 70 | 69 | 73 | 78 | 55 | 25 | 51 | 40 | 67 | 38 | 61 | 62 | 57 | 97 | 0 | 0 | 29 | 1 | 762,500$ | ||||
9 | Ilya Solovyov (R) | X | 100.00 | 78 | 77 | 80 | 66 | 77 | 73 | 80 | 48 | 25 | 38 | 42 | 62 | 40 | 44 | 44 | 54 | 82 | 0 | 0 | 23 | 1 | 828,333$ | ||||
10 | Colin Miller | X | 100.00 | 85 | 45 | 83 | 79 | 71 | 67 | 80 | 63 | 25 | 49 | 50 | 71 | 25 | 72 | 73 | 63 | 96 | 0 | 0 | 30 | 1 | 1,850,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 76 | 66 | 83 | 72 | 72 | 69 | 80 | 63 | 49 | 56 | 59 | 66 | 42 | 56 | 56 | 64 | 94 | 0 |
Priority | Type | Description |
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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 |
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Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 | 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 |
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1 | Joseph Veleno | Lake Erie (COL) | C | 74 | 29 | 56 | 85 | 0 | 52 | 30 | 26 | 51 | 195 | 66 | 128 | 14.87% | 27 | 1445 | 19.53 | 22 | 42 | 64 | 54 | 214 | 1 | 0 | 1 | 6 | 226 | 9 | 1 | 59.19% | 1627 | 45 | 64 | 0 | 2 | 1.18 | 0 | 1 | 1 | 2 | 3 | 11 | 19 | 8 |
2 | Filip Zadina | Lake Erie (COL) | LW/RW | 74 | 33 | 39 | 72 | 0 | 11 | 5 | 35 | 21 | 256 | 78 | 168 | 12.89% | 19 | 1374 | 18.58 | 25 | 30 | 55 | 55 | 212 | 0 | 0 | 0 | 4 | 150 | 6 | 1 | 41.22% | 131 | 73 | 68 | 1 | 1 | 1.05 | 0 | 2 | 0 | 0 | 1 | 19 | 9 | 11 |
3 | Rem Pitlick | Lake Erie (COL) | RW | 74 | 27 | 37 | 64 | -2 | 132 | 70 | 32 | 23 | 165 | 48 | 98 | 16.36% | 14 | 1457 | 19.69 | 19 | 27 | 46 | 41 | 213 | 0 | 1 | 1 | 4 | 218 | 10 | 5 | 52.08% | 96 | 51 | 69 | 0 | 0 | 0.88 | 0 | 1 | 4 | 2 | 8 | 11 | 7 | 11 |
4 | Raphael Lavoie | Lake Erie (COL) | C/RW | 74 | 19 | 37 | 56 | -5 | 155 | 95 | 35 | 43 | 153 | 47 | 85 | 12.42% | 10 | 1107 | 14.96 | 17 | 27 | 44 | 31 | 183 | 0 | 0 | 0 | 3 | 116 | 4 | 2 | 62.03% | 748 | 34 | 45 | 0 | 1 | 1.01 | 0 | 1 | 10 | 5 | 4 | 7 | 6 | 3 |
5 | Mark Kastelic | Lake Erie (COL) | C/RW | 74 | 20 | 35 | 55 | -5 | 375 | 185 | 42 | 13 | 168 | 49 | 110 | 11.90% | 11 | 1085 | 14.66 | 12 | 30 | 42 | 29 | 167 | 0 | 0 | 0 | 2 | 76 | 5 | 0 | 55.07% | 69 | 29 | 49 | 0 | 0 | 1.01 | 0 | 1 | 10 | 14 | 13 | 7 | 4 | 9 |
6 | Nikita Chibrikov | Lake Erie (COL) | LW/RW | 74 | 18 | 22 | 40 | 2 | 126 | 90 | 38 | 22 | 111 | 41 | 64 | 16.22% | 17 | 1247 | 16.86 | 10 | 16 | 26 | 28 | 183 | 0 | 0 | 0 | 4 | 130 | 7 | 2 | 48.39% | 93 | 29 | 46 | 0 | 0 | 0.64 | 0 | 1 | 4 | 4 | 10 | 3 | 6 | 10 |
7 | Calle Rosen | Lake Erie (COL) | D | 74 | 11 | 17 | 28 | -1 | 137 | 105 | 25 | 30 | 54 | 15 | 20 | 20.37% | 47 | 1853 | 25.04 | 9 | 10 | 19 | 17 | 237 | 0 | 0 | 0 | 2 | 222 | 4 | 3 | 25.00% | 8 | 1 | 145 | 0 | 0 | 0.30 | 0 | 0 | 8 | 4 | 9 | 3 | 6 | 5 |
8 | Colin Miller | Lake Erie (COL) | D | 74 | 5 | 22 | 27 | -3 | 84 | 20 | 51 | 30 | 81 | 31 | 41 | 6.17% | 54 | 1843 | 24.91 | 5 | 15 | 20 | 14 | 236 | 0 | 0 | 0 | 1 | 195 | 1 | 0 | 0.00% | 2 | 8 | 162 | 0 | 0 | 0.29 | 0 | 0 | 1 | 2 | 1 | 6 | 7 | 7 |
9 | Oskar Olausson | Lake Erie (COL) | RW | 74 | 7 | 6 | 13 | -5 | 81 | 55 | 26 | 15 | 215 | 86 | 147 | 3.26% | 24 | 1499 | 20.26 | 4 | 4 | 8 | 6 | 84 | 0 | 0 | 0 | 2 | 50 | 2 | 1 | 41.88% | 117 | 50 | 38 | 1 | 0 | 0.17 | 0 | 1 | 3 | 7 | 1 | 4 | 6 | 5 |
10 | Ilya Solovyov | Lake Erie (COL) | D | 74 | 4 | 6 | 10 | 0 | 262 | 180 | 18 | 21 | 30 | 7 | 13 | 13.33% | 28 | 1470 | 19.87 | 4 | 4 | 8 | 8 | 196 | 0 | 0 | 0 | 2 | 197 | 1 | 0 | 0.00% | 2 | 4 | 99 | 0 | 0 | 0.14 | 0 | 0 | 7 | 10 | 19 | 1 | 1 | 3 |
Statistiques d’équipe totales ou en moyenne | 740 | 173 | 277 | 450 | -19 | 1415 | 835 | 328 | 269 | 1428 | 468 | 874 | 12.11% | 251 | 14384 | 19.44 | 127 | 205 | 332 | 283 | 1929 | 1 | 1 | 2 | 30 | 1584 | 49 | 15 | 57.55% | 2893 | 324 | 785 | 2 | 4 | 0.63 | 0 | 8 | 48 | 50 | 69 | 72 | 71 | 72 |
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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
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Calle Rosen | Lake Erie (COL) | D | 29 | 1994-02-01 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 762,500$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Colin Miller | Lake Erie (COL) | D | 30 | 1992-10-29 | No | 194 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,850,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Filip Zadina | Lake Erie (COL) | LW/RW | 23 | 1999-11-27 | No | 189 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,825,000$ | 0$ | 0$ | No | 1,825,000$ | Lien / Lien NHL | |||||||||
Ilya Solovyov | Lake Erie (COL) | D | 23 | 2000-07-20 | Yes | 207 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 828,333$ | 0$ | 0$ | No | Lien | ||||||||||
Joseph Veleno | Lake Erie (COL) | C | 23 | 2000-01-13 | No | 191 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 825,000$ | 0$ | 0$ | No | Lien | ||||||||||
Mark Kastelic | Lake Erie (COL) | C/RW | 24 | 1999-03-10 | No | 222 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 835,000$ | 0$ | 0$ | No | 835,000$ | Lien / Lien NHL | |||||||||
Nikita Chibrikov | Lake Erie (COL) | LW/RW | 20 | 2003-02-16 | Yes | 170 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 545,000$ | 0$ | 0$ | No | Lien | ||||||||||
Oskar Olausson | Lake Erie (COL) | RW | 20 | 2002-10-11 | Yes | 180 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 894,167$ | 0$ | 0$ | No | 894,167$ | Lien / Lien NHL | |||||||||
Raphael Lavoie | Lake Erie (COL) | C/RW | 23 | 2000-09-25 | Yes | 196 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 874,125$ | 0$ | 0$ | No | Lien | ||||||||||
Rem Pitlick | Lake Erie (COL) | RW | 26 | 1997-04-02 | No | 196 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | 1,100,000$ | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
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10 | 24.10 | 193 Lbs | 6 ft1 | 1.40 | 1,033,913$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Filip Zadina | Joseph Veleno | Rem Pitlick | 40 | 1 | 2 | 2 |
2 | Nikita Chibrikov | Raphael Lavoie | Mark Kastelic | 30 | 1 | 2 | 2 |
3 | Oskar Olausson | 20 | 1 | 2 | 2 | ||
4 | Rem Pitlick | Joseph Veleno | Filip Zadina | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
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Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Colin Miller | Calle Rosen | 40 | 1 | 2 | 2 | |
2 | Ilya Solovyov | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Colin Miller | Calle Rosen | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Filip Zadina | Joseph Veleno | Rem Pitlick | 60 | 1 | 2 | 2 |
2 | Nikita Chibrikov | Raphael Lavoie | Mark Kastelic | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
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Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 | |
2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Joseph Veleno | Rem Pitlick | 60 | 1 | 2 | 2 |
2 | Filip Zadina | Raphael Lavoie | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 |
2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Joseph Veleno | 60 | 1 | 2 | 2 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 |
2 | Rem Pitlick | 40 | 1 | 2 | 2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Joseph Veleno | Rem Pitlick | 60 | 1 | 2 | 2 |
2 | Filip Zadina | Raphael Lavoie | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 |
2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Filip Zadina | Joseph Veleno | Rem Pitlick | Colin Miller | Calle Rosen |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Filip Zadina | Joseph Veleno | Rem Pitlick | Colin Miller | Calle Rosen |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Oskar Olausson, Mark Kastelic, Nikita Chibrikov | Oskar Olausson, Mark Kastelic | Nikita Chibrikov |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ilya Solovyov, Colin Miller, Calle Rosen | Ilya Solovyov | Colin Miller, Calle Rosen |
Tirs de pénalité |
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Joseph Veleno, Rem Pitlick, Filip Zadina, Raphael Lavoie, Mark Kastelic |
Gardien |
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#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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Albany | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 30 | 72 | 86 | 8 | 49 | 374 | 605 | 663 | 27 | 28 | 5 | 39 | 14 | 11 | 6 | 54.55% | 7 | 2 | 71.43% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
2 | Binghamton | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 30 | 72 | 86 | 8 | 51 | 374 | 605 | 663 | 27 | 40 | 11 | 59 | 14 | 4 | 2 | 50.00% | 12 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
3 | Bridgeport | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.333 | 6 | 9 | 15 | 0 | 1 | 30 | 72 | 86 | 8 | 84 | 374 | 605 | 663 | 27 | 38 | 18 | 62 | 19 | 11 | 4 | 36.36% | 11 | 3 | 72.73% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
4 | Charlotte Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 30 | 72 | 86 | 8 | 50 | 374 | 605 | 663 | 27 | 30 | 13 | 48 | 21 | 13 | 4 | 30.77% | 9 | 2 | 77.78% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
5 | Chicago | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 6 | 1.000 | 10 | 17 | 27 | 0 | 1 | 30 | 72 | 86 | 8 | 70 | 374 | 605 | 663 | 27 | 39 | 12 | 169 | 24 | 17 | 7 | 41.18% | 17 | 1 | 94.12% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
6 | Chicago Wolf | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 30 | 72 | 86 | 8 | 49 | 374 | 605 | 663 | 27 | 32 | 10 | 68 | 15 | 8 | 3 | 37.50% | 4 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
7 | Grand Rapids | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 30 | 72 | 86 | 8 | 41 | 374 | 605 | 663 | 27 | 31 | 8 | 95 | 17 | 6 | 4 | 66.67% | 10 | 4 | 60.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
8 | Hamilton | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 30 | 72 | 86 | 8 | 39 | 374 | 605 | 663 | 27 | 33 | 12 | 43 | 10 | 9 | 4 | 44.44% | 14 | 3 | 78.57% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
9 | Hartford | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 30 | 72 | 86 | 8 | 33 | 374 | 605 | 663 | 27 | 35 | 11 | 50 | 13 | 3 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
10 | Hersey | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 30 | 72 | 86 | 8 | 40 | 374 | 605 | 663 | 27 | 38 | 11 | 43 | 14 | 12 | 2 | 16.67% | 10 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
11 | Hershey | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 30 | 72 | 86 | 8 | 22 | 374 | 605 | 663 | 27 | 29 | 10 | 52 | 6 | 8 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
12 | Houston | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 0.500 | 5 | 6 | 11 | 0 | 1 | 30 | 72 | 86 | 8 | 60 | 374 | 605 | 663 | 27 | 63 | 24 | 45 | 24 | 16 | 4 | 25.00% | 15 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
13 | Iowa | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 30 | 72 | 86 | 8 | 48 | 374 | 605 | 663 | 27 | 31 | 8 | 75 | 16 | 12 | 5 | 41.67% | 5 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
14 | Lowell | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 30 | 72 | 86 | 8 | 51 | 374 | 605 | 663 | 27 | 28 | 3 | 63 | 15 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
15 | Manchester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 7 | 10 | 17 | 0 | 1 | 30 | 72 | 86 | 8 | 44 | 374 | 605 | 663 | 27 | 33 | 15 | 87 | 14 | 11 | 5 | 45.45% | 11 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
16 | Manitoba | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 6 | 0.750 | 10 | 17 | 27 | 0 | 2 | 30 | 72 | 86 | 8 | 85 | 374 | 605 | 663 | 27 | 73 | 15 | 76 | 27 | 19 | 7 | 36.84% | 13 | 2 | 84.62% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
17 | Milwaukee | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 30 | 72 | 86 | 8 | 47 | 374 | 605 | 663 | 27 | 27 | 7 | 34 | 6 | 9 | 4 | 44.44% | 7 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
18 | Norfolk | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 30 | 72 | 86 | 8 | 62 | 374 | 605 | 663 | 27 | 35 | 10 | 88 | 11 | 12 | 6 | 50.00% | 9 | 1 | 88.89% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
19 | Peroria | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 30 | 72 | 86 | 8 | 39 | 374 | 605 | 663 | 27 | 33 | 11 | 50 | 9 | 9 | 4 | 44.44% | 10 | 2 | 80.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
20 | Philadelphie | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 30 | 72 | 86 | 8 | 50 | 374 | 605 | 663 | 27 | 34 | 9 | 28 | 13 | 13 | 7 | 53.85% | 9 | 2 | 77.78% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
21 | Portland | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 30 | 72 | 86 | 8 | 52 | 374 | 605 | 663 | 27 | 35 | 13 | 48 | 8 | 11 | 6 | 54.55% | 4 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
22 | Providence | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 3 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 6 | 1.000 | 9 | 15 | 24 | 0 | 2 | 30 | 72 | 86 | 8 | 67 | 374 | 605 | 663 | 27 | 47 | 11 | 114 | 24 | 16 | 7 | 43.75% | 12 | 1 | 91.67% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
23 | Quad City | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 6 | 0.750 | 12 | 19 | 31 | 1 | 0 | 30 | 72 | 86 | 8 | 94 | 374 | 605 | 663 | 27 | 62 | 24 | 88 | 21 | 24 | 9 | 37.50% | 14 | 6 | 57.14% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
24 | Rochester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 2 | 30 | 72 | 86 | 8 | 38 | 374 | 605 | 663 | 27 | 30 | 7 | 55 | 7 | 9 | 4 | 44.44% | 5 | 0 | 100.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
25 | Rochester | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0.750 | 3 | 5 | 8 | 0 | 1 | 30 | 72 | 86 | 8 | 39 | 374 | 605 | 663 | 27 | 37 | 14 | 46 | 7 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 1 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
26 | Rockford Icehogs | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 30 | 72 | 86 | 8 | 53 | 374 | 605 | 663 | 27 | 30 | 9 | 80 | 11 | 11 | 4 | 36.36% | 10 | 3 | 70.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
27 | Springfield | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 6 | 0.600 | 12 | 21 | 33 | 0 | 0 | 30 | 72 | 86 | 8 | 126 | 374 | 605 | 663 | 27 | 157 | 44 | 85 | 40 | 26 | 8 | 30.77% | 14 | 4 | 71.43% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
28 | Syracuse | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 30 | 72 | 86 | 8 | 52 | 374 | 605 | 663 | 27 | 30 | 10 | 97 | 20 | 13 | 4 | 30.77% | 13 | 2 | 84.62% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
29 | Toronto | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 12 | 20 | 0 | 1 | 30 | 72 | 86 | 8 | 54 | 374 | 605 | 663 | 27 | 27 | 8 | 103 | 15 | 11 | 5 | 45.45% | 9 | 1 | 88.89% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
30 | Wilkes Barre | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 30 | 72 | 86 | 8 | 31 | 374 | 605 | 663 | 27 | 36 | 10 | 49 | 11 | 4 | 2 | 50.00% | 7 | 3 | 57.14% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
31 | Worchester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 30 | 72 | 86 | 8 | 41 | 374 | 605 | 663 | 27 | 32 | 11 | 50 | 13 | 9 | 5 | 55.56% | 10 | 3 | 70.00% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
Total | 74 | 47 | 17 | 0 | 7 | 2 | 1 | 0 | 196 | 114 | 82 | 37 | 24 | 9 | 0 | 2 | 1 | 1 | 0 | 100 | 58 | 42 | 37 | 23 | 8 | 0 | 5 | 1 | 0 | 0 | 96 | 56 | 40 | 112 | 0.757 | 196 | 331 | 527 | 1 | 15 | 30 | 72 | 86 | 8 | 1661 | 374 | 605 | 663 | 27 | 1253 | 384 | 2089 | 479 | 352 | 135 | 38.35% | 310 | 50 | 83.87% | 1 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 | |
_Since Last GM Reset | 74 | 47 | 17 | 0 | 7 | 2 | 1 | 0 | 196 | 114 | 82 | 37 | 24 | 9 | 0 | 2 | 1 | 1 | 0 | 100 | 58 | 42 | 37 | 23 | 8 | 0 | 5 | 1 | 0 | 0 | 96 | 56 | 40 | 112 | 0.757 | 196 | 331 | 527 | 1 | 15 | 30 | 72 | 86 | 8 | 1661 | 374 | 605 | 663 | 27 | 1253 | 384 | 2089 | 479 | 352 | 135 | 38.35% | 310 | 50 | 83.87% | 1 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 | |
_Vs Conference | 39 | 25 | 9 | 0 | 3 | 1 | 1 | 0 | 107 | 63 | 44 | 19 | 14 | 3 | 0 | 1 | 0 | 1 | 0 | 58 | 31 | 27 | 20 | 11 | 6 | 0 | 2 | 1 | 0 | 0 | 49 | 32 | 17 | 59 | 0.756 | 107 | 177 | 284 | 1 | 6 | 30 | 72 | 86 | 8 | 872 | 374 | 605 | 663 | 27 | 705 | 223 | 1001 | 261 | 201 | 75 | 37.31% | 155 | 28 | 81.94% | 0 | 706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% | 1208 | 698 | 2298 | 530 | 950 | 471 |
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 |
74 | 112 | W2 | 196 | 331 | 527 | 1661 | 1253 | 384 | 2089 | 479 | 1 | 15 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 47 | 17 | 7 | 2 | 1 | 0 | 196 | 114 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 24 | 9 | 2 | 1 | 1 | 0 | 100 | 58 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 23 | 8 | 5 | 1 | 0 | 0 | 96 | 56 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
7 | 2 | 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 |
---|---|---|---|---|---|---|
352 | 135 | 38.35% | 310 | 50 | 83.87% | 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 |
---|---|---|---|---|---|---|---|
374 | 605 | 663 | 27 | 30 | 72 | 86 | 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 |
706 | 1274 | 55.42% | 618 | 1075 | 57.49% | 560 | 996 | 56.22% |
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 |
1208 | 698 | 2298 | 530 | 950 | 471 |
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 | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
10,417,491$ | 10,339,125$ | 10,339,125$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 10,417,491$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 78,327$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|