Cabaret Lady Mary Ann | |
GP: 53 | W: 1 | L: 52 | OTL: 0 | P: 2 GF: 128 | GA: 320 | PP%: 12.86% | PK%: 73.97% DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d’équipe : 47 Prochains matchs #823 vs Sharks |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joachim Blichfeld | X | X | 100.00 | 75 | 69 | 90 | 66 | 69 | 63 | 63 | 63 | 50 | 58 | 65 | 64 | 62 | 44 | 44 | 0 | 50 | 59 | 0 | 23 | 1 | 736,666$ | |||
2 | Michael Eyssimont | X | X | 100.00 | 65 | 67 | 59 | 69 | 67 | 72 | 75 | 63 | 79 | 60 | 62 | 59 | 59 | 44 | 44 | 0 | 50 | 59 | 0 | 25 | 2 | 750,000$ | |||
3 | Josh Dunne | X | 100.00 | 75 | 80 | 64 | 78 | 80 | 51 | 50 | 55 | 69 | 47 | 58 | 62 | 55 | 44 | 44 | 0 | 50 | 57 | 0 | 22 | 3 | 925,000$ | ||||
4 | Cody McLeod | X | 100.00 | 64 | 75 | 39 | 61 | 75 | 59 | 63 | 51 | 50 | 43 | 46 | 65 | 44 | 80 | 82 | 0 | 50 | 55 | 0 | 37 | 2 | 750,000$ | ||||
5 | Jack Dugan | X | 100.00 | 74 | 70 | 82 | 62 | 70 | 47 | 44 | 59 | 50 | 58 | 56 | 63 | 53 | 44 | 44 | 0 | 50 | 55 | 0 | 23 | 1 | 525,000$ | ||||
6 | Francis Perron | X | 100.00 | 62 | 62 | 82 | 60 | 62 | 58 | 60 | 49 | 49 | 49 | 47 | 62 | 47 | 51 | 51 | 0 | 50 | 53 | 0 | 25 | 4 | 600,000$ | ||||
7 | Joseph LaBate | X | X | 100.00 | 69 | 81 | 42 | 61 | 81 | 59 | 62 | 49 | 61 | 46 | 47 | 58 | 45 | 45 | 45 | 0 | 50 | 53 | 0 | 28 | 3 | 600,000$ | |||
8 | Lukas Rousek | X | X | 100.00 | 73 | 63 | 96 | 70 | 63 | 40 | 38 | 49 | 50 | 47 | 46 | 60 | 44 | 44 | 44 | 0 | 50 | 51 | 0 | 22 | 4 | 830,000$ | |||
9 | Par Lindholm | X | X | 100.00 | 73 | 67 | 98 | 63 | 67 | 43 | 44 | 43 | 55 | 35 | 41 | 63 | 41 | 57 | 58 | 0 | 50 | 50 | 0 | 30 | 2 | 700,000$ | |||
10 | Fredrik Olofsson (R) | X | 100.00 | 31 | 40 | 40 | 40 | 71 | 29 | 29 | 31 | 40 | 30 | 30 | 40 | 35 | 32 | 30 | 0 | 50 | 35 | 0 | 25 | 4 | 600,000$ | ||||
11 | Leevi Aaltonen (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 5 | 0 | 20 | 4 | 560,000$ | ||||
12 | Ian McCoshen | X | 100.00 | 78 | 80 | 72 | 60 | 80 | 54 | 57 | 46 | 25 | 37 | 39 | 63 | 37 | 50 | 50 | 0 | 50 | 56 | 0 | 26 | 4 | 600,000$ | ||||
13 | Nick Cicek (R) | X | 100.00 | 74 | 76 | 68 | 63 | 76 | 51 | 51 | 53 | 25 | 49 | 42 | 61 | 40 | 44 | 44 | 0 | 50 | 55 | 0 | 21 | 4 | 600,000$ | ||||
14 | Nick Boka | X | 100.00 | 64 | 75 | 38 | 61 | 75 | 41 | 40 | 46 | 25 | 31 | 46 | 55 | 44 | 44 | 44 | 0 | 50 | 50 | 0 | 24 | 7 | 600,000$ | ||||
15 | Jordan Subban (R) | X | 100.00 | 30 | 40 | 40 | 40 | 51 | 27 | 27 | 30 | 40 | 29 | 29 | 40 | 34 | 32 | 30 | 0 | 50 | 35 | 0 | 26 | 3 | 600,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Nikola Pasic (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 5 | 0 | 20 | 4 | 560,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 57 | 59 | 57 | 54 | 62 | 44 | 44 | 43 | 42 | 39 | 41 | 51 | 40 | 41 | 41 | 0 | 50 | 46 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mikhail Berdin | 100.00 | 54 | 53 | 66 | 63 | 52 | 58 | 60 | 62 | 61 | 61 | 30 | 44 | 44 | 0 | 50 | 56 | 0 | 23 | 3 | 758,333$ | |
2 | Michael McNiven | 100.00 | 44 | 45 | 56 | 76 | 42 | 46 | 50 | 51 | 48 | 48 | 30 | 44 | 44 | 0 | 50 | 50 | 0 | 24 | 2 | 682,222$ | |
Rayé | |||||||||||||||||||||||
1 | Ken Appleby (R) | HO | 44 | 42 | 53 | 85 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 49 | 0 | 26 | 0 | 0$ | |
2 | Isaiah Saville (R) | 100.00 | 44 | 40 | 50 | 74 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 48 | 0 | 21 | 4 | 849,667$ | |
3 | Filip Lindberg (R) | 100.00 | 44 | 40 | 50 | 71 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 47 | 0 | 22 | 4 | 925,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 46 | 44 | 55 | 74 | 46 | 47 | 49 | 52 | 49 | 49 | 39 | 44 | 44 | 0 | 50 | 50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Eyssimont | Cabaret Lady Mary Ann (Que) | C/LW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 9 | 3 | 1 | 11.11% | 0 | 41 | 20.69 | 1 | 0 | 1 | 2 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 9 | 3 | 1 | 11.11% | 0 | 41 | 20.69 | 1 | 0 | 1 | 2 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 moyen 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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Cody McLeod (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | LW | 37 | 1984-06-26 | No | 204 Lbs | 6 ft2 | No | No | Yes | 2 | Pro & Farm | 750,000$ | 260,526$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Filip Lindberg | Cabaret Lady Mary Ann (Que) | G | 22 | 1999-01-31 | Yes | 194 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 925,000$ | 321,316$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | Lien | ||||||
Francis Perron | Cabaret Lady Mary Ann (Que) | LW | 25 | 1996-04-18 | No | 166 Lbs | 6 ft0 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Lien | ||||||
Fredrik Olofsson | Cabaret Lady Mary Ann (Que) | LW | 25 | 1996-05-27 | Yes | 204 Lbs | 6 ft2 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Lien | ||||||
Ian McCoshen (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | D | 26 | 1995-08-05 | No | 218 Lbs | 6 ft3 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Lien | ||||||
Isaiah Saville | Cabaret Lady Mary Ann (Que) | G | 21 | 2000-09-21 | Yes | 196 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 849,667$ | 295,147$ | 0$ | 0$ | No | 849,667$ | 849,667$ | 849,667$ | Lien | ||||||
Jack Dugan | Cabaret Lady Mary Ann (Que) | LW | 23 | 1998-03-24 | No | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 525,000$ | 182,368$ | 0$ | 0$ | No | Lien | |||||||||
Joachim Blichfeld | Cabaret Lady Mary Ann (Que) | LW/RW | 23 | 1998-07-17 | No | 180 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 736,666$ | 255,895$ | 0$ | 0$ | No | Lien | |||||||||
Jordan Subban (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | D | 26 | 1995-05-03 | Yes | 175 Lbs | 5 ft9 | No | No | Yes | 3 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | Lien | |||||||
Joseph LaBate (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | C/LW | 28 | 1993-04-16 | No | 210 Lbs | 6 ft5 | No | No | Yes | 3 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | Lien | |||||||
Josh Dunne | Cabaret Lady Mary Ann (Que) | C | 22 | 1998-12-08 | No | 210 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 925,000$ | 321,316$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien | |||||||
Ken Appleby (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | G | 26 | 1995-04-09 | Yes | 210 Lbs | 6 ft4 | No | No | Yes | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
Leevi Aaltonen | Cabaret Lady Mary Ann (Que) | C | 20 | 2001-01-24 08:27:20 | Yes | 176 Lbs | 5 ft9 | No | No | No | 4 | Pro & Farm | 560,000$ | 194,526$ | 0$ | 0$ | No | 560,000$ | 560,000$ | 560,000$ | |||||||
Lukas Rousek | Cabaret Lady Mary Ann (Que) | LW/RW | 22 | 1999-04-20 | No | 172 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 830,000$ | 288,316$ | 0$ | 0$ | No | 830,000$ | 830,000$ | 830,000$ | Lien | ||||||
Michael Eyssimont | Cabaret Lady Mary Ann (Que) | C/LW | 25 | 1996-09-09 | No | 181 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 750,000$ | 260,526$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Michael McNiven | Cabaret Lady Mary Ann (Que) | G | 24 | 1997-07-08 | No | 203 Lbs | 6 ft1 | No | No | Yes | 2 | Pro & Farm | 682,222$ | 236,982$ | 0$ | 0$ | No | 682,222$ | Lien | ||||||||
Mikhail Berdin | Cabaret Lady Mary Ann (Que) | G | 23 | 1998-02-28 | No | 163 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 758,333$ | 263,421$ | 0$ | 0$ | No | 758,333$ | 758,333$ | Lien | |||||||
Nick Boka | Cabaret Lady Mary Ann (Que) | D | 24 | 1997-09-08 | No | 209 Lbs | 6 ft1 | No | No | Yes | 7 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | 600,000$ | 600,000$ | 600,000$ | Lien | |||
Nick Cicek | Cabaret Lady Mary Ann (Que) | D | 21 | 2000-05-29 | Yes | 201 Lbs | 6 ft3 | Yes | No | No | 4 | Pro & Farm | 600,000$ | 208,421$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Lien | ||||||
Nikola Pasic | Cabaret Lady Mary Ann (Que) | C | 20 | 2000-10-16 08:28:42 | Yes | 187 Lbs | 5 ft10 | No | No | No | 4 | Pro & Farm | 560,000$ | 194,526$ | 0$ | 0$ | No | 560,000$ | 560,000$ | 560,000$ | |||||||
Par Lindholm (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | C/LW | 30 | 1991-10-05 | No | 183 Lbs | 6 ft0 | No | No | Yes | 2 | Pro & Farm | 700,000$ | 243,158$ | 0$ | 0$ | No | 700,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
21 | 24.43 | 192 Lbs | 6 ft1 | 3.10 | 654,852$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
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 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 43 | 49 | 36 | 0 | 50 | 684 | 640 | 608 | 0 | 59 | 23 | 2 | 19 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
2 | Baby Hawks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 43 | 49 | 36 | 0 | 35 | 684 | 640 | 608 | 0 | 78 | 29 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
3 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 43 | 49 | 36 | 0 | 43 | 684 | 640 | 608 | 0 | 54 | 12 | 2 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
4 | Bruins | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 22 | -13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 9 | 18 | 27 | 0 | 0 | 43 | 49 | 36 | 0 | 114 | 684 | 640 | 608 | 0 | 277 | 69 | 20 | 81 | 9 | 0 | 0.00% | 10 | 4 | 60.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
5 | Caroline | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 43 | 49 | 36 | 0 | 71 | 684 | 640 | 608 | 0 | 117 | 45 | 4 | 37 | 8 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
6 | Chiefs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 43 | 49 | 36 | 0 | 59 | 684 | 640 | 608 | 0 | 42 | 8 | 2 | 17 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
7 | Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 8 | 16 | 24 | 0 | 0 | 43 | 49 | 36 | 0 | 80 | 684 | 640 | 608 | 0 | 131 | 29 | 4 | 31 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
8 | Cougars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 43 | 49 | 36 | 0 | 54 | 684 | 640 | 608 | 0 | 176 | 55 | 4 | 43 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
9 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 43 | 49 | 36 | 0 | 73 | 684 | 640 | 608 | 0 | 174 | 42 | 6 | 54 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
10 | Heat | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 15 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 43 | 49 | 36 | 0 | 75 | 684 | 640 | 608 | 0 | 152 | 28 | 6 | 43 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
11 | Jayhawks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 43 | 49 | 36 | 0 | 70 | 684 | 640 | 608 | 0 | 118 | 29 | 4 | 35 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
12 | Las Vegas | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 43 | 49 | 36 | 0 | 37 | 684 | 640 | 608 | 0 | 82 | 18 | 2 | 17 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
13 | Manchots | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 43 | 49 | 36 | 0 | 84 | 684 | 640 | 608 | 0 | 103 | 29 | 13 | 25 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
14 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 43 | 49 | 36 | 0 | 23 | 684 | 640 | 608 | 0 | 76 | 23 | 4 | 21 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
15 | Minnesota | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 43 | 49 | 36 | 0 | 44 | 684 | 640 | 608 | 0 | 73 | 23 | 4 | 19 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
16 | Monarchs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 43 | 49 | 36 | 0 | 91 | 684 | 640 | 608 | 0 | 115 | 28 | 2 | 46 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
17 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 43 | 49 | 36 | 0 | 63 | 684 | 640 | 608 | 0 | 113 | 33 | 4 | 31 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
18 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 43 | 49 | 36 | 0 | 29 | 684 | 640 | 608 | 0 | 62 | 20 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
19 | Oceanics | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 43 | 49 | 36 | 0 | 37 | 684 | 640 | 608 | 0 | 64 | 19 | 4 | 21 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
20 | Oil Kings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 43 | 49 | 36 | 0 | 84 | 684 | 640 | 608 | 0 | 118 | 30 | 9 | 31 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
21 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 9 | 18 | 27 | 1 | 0 | 43 | 49 | 36 | 0 | 90 | 684 | 640 | 608 | 0 | 130 | 49 | 8 | 25 | 11 | 1 | 9.09% | 4 | 1 | 75.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
22 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 43 | 49 | 36 | 0 | 57 | 684 | 640 | 608 | 0 | 128 | 35 | 12 | 36 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
23 | Seattle | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 17 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 43 | 49 | 36 | 0 | 66 | 684 | 640 | 608 | 0 | 132 | 41 | 4 | 22 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
24 | Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 43 | 49 | 36 | 0 | 42 | 684 | 640 | 608 | 0 | 78 | 18 | 0 | 16 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
25 | Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 43 | 49 | 36 | 0 | 36 | 684 | 640 | 608 | 0 | 84 | 22 | 2 | 36 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
26 | Sound Tigers | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 17 | -12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 43 | 49 | 36 | 0 | 109 | 684 | 640 | 608 | 0 | 236 | 57 | 4 | 68 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
27 | Spiders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 43 | 49 | 36 | 0 | 66 | 684 | 640 | 608 | 0 | 137 | 37 | 13 | 41 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
28 | Stars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 43 | 49 | 36 | 0 | 63 | 684 | 640 | 608 | 0 | 133 | 45 | 8 | 46 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
29 | Thunder | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 16 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 43 | 49 | 36 | 0 | 108 | 684 | 640 | 608 | 0 | 174 | 38 | 15 | 57 | 11 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
30 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 43 | 49 | 36 | 0 | 79 | 684 | 640 | 608 | 0 | 151 | 37 | 4 | 48 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
Total | 53 | 1 | 52 | 0 | 0 | 0 | 0 | 0 | 128 | 320 | -192 | 24 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | 62 | 137 | -75 | 29 | 1 | 28 | 0 | 0 | 0 | 0 | 0 | 66 | 183 | -117 | 2 | 0.019 | 128 | 248 | 376 | 3 | 0 | 43 | 49 | 36 | 0 | 1932 | 684 | 640 | 608 | 0 | 3567 | 971 | 166 | 1026 | 140 | 18 | 12.86% | 73 | 19 | 73.97% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 | |
_Since Last GM Reset | 53 | 1 | 52 | 0 | 0 | 0 | 0 | 0 | 128 | 320 | -192 | 24 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | 62 | 137 | -75 | 29 | 1 | 28 | 0 | 0 | 0 | 0 | 0 | 66 | 183 | -117 | 2 | 0.019 | 128 | 248 | 376 | 3 | 0 | 43 | 49 | 36 | 0 | 1932 | 684 | 640 | 608 | 0 | 3567 | 971 | 166 | 1026 | 140 | 18 | 12.86% | 73 | 19 | 73.97% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 | |
_Vs Conference | 25 | 0 | 25 | 0 | 0 | 0 | 0 | 0 | 58 | 157 | -99 | 11 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 29 | 66 | -37 | 14 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 29 | 91 | -62 | 0 | 0.000 | 58 | 111 | 169 | 1 | 0 | 43 | 49 | 36 | 0 | 897 | 684 | 640 | 608 | 0 | 1716 | 477 | 69 | 472 | 61 | 6 | 9.84% | 33 | 9 | 72.73% | 0 | 490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% | 725 | 465 | 1842 | 411 | 611 | 239 |
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 |
53 | 2 | L41 | 128 | 248 | 376 | 1932 | 3567 | 971 | 166 | 1026 | 3 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
53 | 1 | 52 | 0 | 0 | 0 | 0 | 128 | 320 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 0 | 24 | 0 | 0 | 0 | 0 | 62 | 137 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
29 | 1 | 28 | 0 | 0 | 0 | 0 | 66 | 183 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 10 | 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 |
---|---|---|---|---|---|---|
140 | 18 | 12.86% | 73 | 19 | 73.97% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
684 | 640 | 608 | 0 | 43 | 49 | 36 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
490 | 1597 | 30.68% | 722 | 2561 | 28.19% | 290 | 909 | 31.90% |
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 |
725 | 465 | 1842 | 411 | 611 | 239 |
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 | 45,462 | 23,070 |
Assistance PCT | 94.71% | 96.13% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
17 | 2856 - 95.18% | 80,718$ | 1,937,220$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
713,307$ | 1,050,189$ | 1,050,189$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
5,527$ | 713,307$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
1,372,198$ | 66 | 5,527$ | 364,782$ |
# | 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 |
---|