Cabaret Lady Mary Ann | |
GP: 82 | W: 1 | L: 80 | OTL: 1 | P: 3 GF: 198 | GA: 487 | PP%: 17.57% | PK%: 73.95% DG: Pierre-Luc Chartrand | Morale : 50 | Moyenne d’équipe : 47 |
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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 | Leon Gawanke | X | 100.00 | 75 | 69 | 90 | 67 | 69 | 61 | 63 | 56 | 25 | 49 | 49 | 63 | 47 | 44 | 44 | 0 | 50 | 58 | 0 | 22 | 2 | 796,667$ | ||||
13 | 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$ | ||||
14 | 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$ | ||||
15 | 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$ | ||||
16 | 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$ | ||||
2 | Ethan Prow | X | 100.00 | 75 | 66 | 96 | 65 | 66 | 62 | 63 | 58 | 25 | 54 | 48 | 63 | 46 | 44 | 44 | 0 | 50 | 58 | 0 | 28 | 4 | 600,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 59 | 60 | 61 | 55 | 62 | 46 | 46 | 45 | 40 | 40 | 42 | 52 | 41 | 41 | 41 | 0 | 50 | 47 |
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 | 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 | 44 | 42 | 52 | 77 | 44 | 45 | 46 | 50 | 46 | 46 | 41 | 44 | 44 | 0 | 50 | 49 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$ | 0$ | 0$ | No | 750,000$ | Lien | |||||||||
Ethan Prow (contrat à 1 volet) | Cabaret Lady Mary Ann (Que) | D | 28 | 1992-11-17 | No | 182 Lbs | 5 ft11 | No | No | Yes | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | 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$ | 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$ | 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$ | 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$ | 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$ | 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$ | 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$ | 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$ | 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$ | 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$ | 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$ | 0$ | 0$ | No | 560,000$ | 560,000$ | 560,000$ | ||||||||
Leon Gawanke | Cabaret Lady Mary Ann (Que) | D | 22 | 1999-05-31 | No | 186 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 796,667$ | 0$ | 0$ | No | 796,667$ | Lien | |||||||||
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$ | 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$ | 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$ | 0$ | 0$ | No | 682,222$ | 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$ | 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$ | 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$ | 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$ | 0$ | 0$ | No | 700,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
22 | 24.55 | 192 Lbs | 6 ft1 | 3.09 | 654,101$ |
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 |
---|
, , , , |
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 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 69 | 75 | 54 | 0 | 96 | 1067 | 956 | 946 | 3 | 121 | 37 | 2 | 39 | 7 | 2 | 28.57% | 0 | 0 | 0.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
2 | Baby Hawks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 69 | 75 | 54 | 0 | 77 | 1067 | 956 | 946 | 3 | 132 | 52 | 0 | 44 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
3 | Bears | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 20 | -16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | -12 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 69 | 75 | 54 | 0 | 113 | 1067 | 956 | 946 | 3 | 173 | 51 | 13 | 51 | 8 | 1 | 12.50% | 4 | 2 | 50.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
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 | 69 | 75 | 54 | 0 | 114 | 1067 | 956 | 946 | 3 | 277 | 69 | 20 | 81 | 9 | 0 | 0.00% | 10 | 4 | 60.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
5 | Caroline | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 17 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 69 | 75 | 54 | 0 | 99 | 1067 | 956 | 946 | 3 | 175 | 64 | 8 | 53 | 9 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
6 | Chiefs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 69 | 75 | 54 | 0 | 91 | 1067 | 956 | 946 | 3 | 102 | 29 | 4 | 34 | 7 | 2 | 28.57% | 2 | 1 | 50.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
7 | Chill | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 69 | 75 | 54 | 0 | 82 | 1067 | 956 | 946 | 3 | 165 | 50 | 6 | 48 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
8 | 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 | 69 | 75 | 54 | 0 | 80 | 1067 | 956 | 946 | 3 | 131 | 29 | 4 | 31 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
9 | Cougars | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 24 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | -10 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 69 | 75 | 54 | 0 | 100 | 1067 | 956 | 946 | 3 | 243 | 80 | 8 | 56 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
10 | Crunch | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 23 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 12 | 22 | 34 | 0 | 0 | 69 | 75 | 54 | 0 | 148 | 1067 | 956 | 946 | 3 | 308 | 84 | 30 | 87 | 6 | 3 | 50.00% | 6 | 2 | 66.67% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
11 | 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 | 69 | 75 | 54 | 0 | 75 | 1067 | 956 | 946 | 3 | 152 | 28 | 6 | 43 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
12 | 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 | 69 | 75 | 54 | 0 | 70 | 1067 | 956 | 946 | 3 | 118 | 29 | 4 | 35 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
13 | Las Vegas | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 69 | 75 | 54 | 0 | 82 | 1067 | 956 | 946 | 3 | 141 | 32 | 8 | 32 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
14 | Manchots | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 15 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 69 | 75 | 54 | 0 | 114 | 1067 | 956 | 946 | 3 | 167 | 46 | 13 | 42 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
15 | Marlies | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 27 | -16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 11 | 20 | 31 | 0 | 0 | 69 | 75 | 54 | 0 | 120 | 1067 | 956 | 946 | 3 | 276 | 88 | 24 | 76 | 9 | 3 | 33.33% | 12 | 3 | 75.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
16 | Minnesota | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 69 | 75 | 54 | 0 | 88 | 1067 | 956 | 946 | 3 | 143 | 50 | 12 | 28 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
17 | 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 | 69 | 75 | 54 | 0 | 91 | 1067 | 956 | 946 | 3 | 115 | 28 | 2 | 46 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
18 | Monsters | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 69 | 75 | 54 | 0 | 98 | 1067 | 956 | 946 | 3 | 183 | 55 | 4 | 47 | 9 | 3 | 33.33% | 3 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
19 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 69 | 75 | 54 | 0 | 69 | 1067 | 956 | 946 | 3 | 119 | 43 | 2 | 43 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
20 | Oceanics | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 69 | 75 | 54 | 0 | 68 | 1067 | 956 | 946 | 3 | 131 | 36 | 8 | 38 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
21 | 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 | 69 | 75 | 54 | 0 | 84 | 1067 | 956 | 946 | 3 | 118 | 30 | 9 | 31 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
22 | Phantoms | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 20 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 11 | 21 | 32 | 1 | 0 | 69 | 75 | 54 | 0 | 125 | 1067 | 956 | 946 | 3 | 197 | 70 | 20 | 37 | 16 | 2 | 12.50% | 5 | 1 | 80.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
23 | Rocket | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 13 | 21 | -8 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 12 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0.125 | 13 | 26 | 39 | 0 | 0 | 69 | 75 | 54 | 0 | 134 | 1067 | 956 | 946 | 3 | 250 | 70 | 16 | 79 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
24 | 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 | 69 | 75 | 54 | 0 | 66 | 1067 | 956 | 946 | 3 | 132 | 41 | 4 | 22 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
25 | Senators | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 20 | -12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 8 | 16 | 24 | 0 | 0 | 69 | 75 | 54 | 0 | 104 | 1067 | 956 | 946 | 3 | 221 | 64 | 6 | 67 | 15 | 3 | 20.00% | 2 | 1 | 50.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
26 | Sharks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 14 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 69 | 75 | 54 | 0 | 76 | 1067 | 956 | 946 | 3 | 163 | 44 | 8 | 60 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
27 | 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 | 69 | 75 | 54 | 0 | 109 | 1067 | 956 | 946 | 3 | 236 | 57 | 4 | 68 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
28 | Spiders | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | -13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 69 | 75 | 54 | 0 | 92 | 1067 | 956 | 946 | 3 | 197 | 56 | 15 | 54 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
29 | 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 | 69 | 75 | 54 | 0 | 63 | 1067 | 956 | 946 | 3 | 133 | 45 | 8 | 46 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
30 | Thunder | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 21 | -12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 69 | 75 | 54 | 0 | 135 | 1067 | 956 | 946 | 3 | 244 | 61 | 15 | 73 | 16 | 2 | 12.50% | 5 | 2 | 60.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
31 | Wolf Pack | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 69 | 75 | 54 | 0 | 107 | 1067 | 956 | 946 | 3 | 235 | 60 | 10 | 62 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
Total | 82 | 1 | 80 | 0 | 0 | 0 | 0 | 1 | 198 | 487 | -289 | 41 | 0 | 40 | 0 | 0 | 0 | 0 | 1 | 104 | 237 | -133 | 41 | 1 | 40 | 0 | 0 | 0 | 0 | 0 | 94 | 250 | -156 | 3 | 0.018 | 198 | 380 | 578 | 3 | 0 | 69 | 75 | 54 | 0 | 2970 | 1067 | 956 | 946 | 3 | 5498 | 1578 | 293 | 1553 | 222 | 39 | 17.57% | 119 | 31 | 73.95% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 | |
_Since Last GM Reset | 82 | 1 | 80 | 0 | 0 | 0 | 0 | 1 | 198 | 487 | -289 | 41 | 0 | 40 | 0 | 0 | 0 | 0 | 1 | 104 | 237 | -133 | 41 | 1 | 40 | 0 | 0 | 0 | 0 | 0 | 94 | 250 | -156 | 3 | 0.018 | 198 | 380 | 578 | 3 | 0 | 69 | 75 | 54 | 0 | 2970 | 1067 | 956 | 946 | 3 | 5498 | 1578 | 293 | 1553 | 222 | 39 | 17.57% | 119 | 31 | 73.95% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 | |
_Vs Conference | 36 | 0 | 35 | 0 | 0 | 0 | 0 | 1 | 89 | 217 | -128 | 18 | 0 | 17 | 0 | 0 | 0 | 0 | 1 | 51 | 106 | -55 | 18 | 0 | 18 | 0 | 0 | 0 | 0 | 0 | 38 | 111 | -73 | 1 | 0.014 | 89 | 170 | 259 | 1 | 0 | 69 | 75 | 54 | 0 | 1326 | 1067 | 956 | 946 | 3 | 2397 | 706 | 123 | 664 | 92 | 15 | 16.30% | 50 | 13 | 74.00% | 0 | 754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% | 1124 | 720 | 2857 | 636 | 942 | 367 |
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 |
82 | 3 | L14 | 198 | 380 | 578 | 2970 | 5498 | 1578 | 293 | 1553 | 3 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 1 | 80 | 0 | 0 | 0 | 1 | 198 | 487 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 0 | 40 | 0 | 0 | 0 | 1 | 104 | 237 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 1 | 40 | 0 | 0 | 0 | 0 | 94 | 250 |
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 |
---|---|---|---|---|---|---|
222 | 39 | 17.57% | 119 | 31 | 73.95% | 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 |
---|---|---|---|---|---|---|---|
1067 | 956 | 946 | 3 | 69 | 75 | 54 | 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 |
754 | 2481 | 30.39% | 1089 | 3953 | 27.55% | 432 | 1414 | 30.55% |
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 |
1124 | 720 | 2857 | 636 | 942 | 367 |
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 | 78,017 | 39,500 |
Assistance PCT | 95.14% | 96.34% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 2866 - 95.54% | 81,051$ | 3,323,095$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
1,097,856$ | 1,054,023$ | 1,054,023$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
5,547$ | 1,097,856$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 5,547$ | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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