![]() | Heat |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Ray Whiddon | Morale : 50 | Moyenne d’équipe : 59 |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Brown | X | X | 100.00 | 65 | 42 | 97 | 74 | 68 | 63 | 58 | 72 | 39 | 67 | 64 | 84 | 25 | 76 | 76 | 62 | 73 | 67 | 0 | 31 | 2 | 2,800,000$ | ||||
2 | Benoit-Olivier Groulx | X | 100.00 | 88 | 45 | 86 | 71 | 75 | 62 | 71 | 67 | 65 | 61 | 58 | 77 | 25 | 54 | 54 | 61 | 84 | 64 | 0 | 25 | 2 | 1,340,000$ | |||||
3 | Ruslan Iskhakov | X | 100.00 | 63 | 53 | 89 | 67 | 56 | 81 | 86 | 66 | 80 | 64 | 67 | 56 | 59 | 48 | 48 | 60 | 88 | 63 | 0 | 25 | 1 | 925,000$ | |||||
4 | Oskar Steen | X | X | 100.00 | 87 | 45 | 97 | 68 | 65 | 53 | 79 | 66 | 25 | 52 | 58 | 66 | 25 | 54 | 53 | 58 | 73 | 61 | 0 | 27 | 1 | 1,074,000$ | ||||
5 | Ryan Suzuki (R) | X | 100.00 | 74 | 67 | 91 | 69 | 70 | 64 | 65 | 61 | 78 | 58 | 61 | 61 | 59 | 48 | 47 | 60 | 85 | 61 | 0 | 24 | 2 | 1,243,000$ | |||||
6 | Curtis Douglas | X | 100.00 | 75 | 94 | 37 | 67 | 95 | 71 | 76 | 51 | 66 | 52 | 46 | 59 | 45 | 47 | 47 | 52 | 87 | 58 | 0 | 25 | 2 | 1,066,000$ | |||||
7 | Tyler Angle | X | 100.00 | 69 | 62 | 84 | 64 | 63 | 67 | 70 | 56 | 70 | 50 | 58 | 59 | 54 | 45 | 45 | 58 | 53 | 57 | 0 | 24 | 2 | 1,061,000$ | |||||
8 | Jermaine Loewen | X | X | 100.00 | 81 | 81 | 77 | 65 | 81 | 55 | 58 | 45 | 50 | 43 | 44 | 60 | 42 | 47 | 47 | 50 | 83 | 54 | 0 | 27 | 1 | 888,000$ | ||||
9 | Bokondji Imama | X | 100.00 | 70 | 80 | 43 | 66 | 80 | 68 | 74 | 47 | 50 | 45 | 44 | 56 | 44 | 48 | 48 | 49 | 51 | 54 | 0 | 29 | 1 | 914,000$ | |||||
10 | Shakir Mukhamadullin (R) | X | 100.00 | 73 | 69 | 87 | 70 | 70 | 56 | 56 | 55 | 25 | 50 | 45 | 60 | 44 | 46 | 45 | 55 | 60 | 58 | 0 | 22 | 1 | 1,294,167$ | |||||
11 | Dmitri Samorukov | X | 100.00 | 73 | 69 | 91 | 65 | 69 | 74 | 82 | 45 | 25 | 34 | 40 | 56 | 39 | 47 | 47 | 50 | 57 | 57 | 0 | 26 | 2 | 1,082,000$ | |||||
12 | William Villeneuve (R) | X | 100.00 | 68 | 66 | 78 | 66 | 67 | 66 | 70 | 51 | 25 | 49 | 39 | 57 | 38 | 45 | 45 | 52 | 43 | 57 | 0 | 23 | 1 | 817,778$ | |||||
Rayé | ||||||||||||||||||||||||||||||
1 | Aku Raty | X | 100.00 | 75 | 70 | 87 | 68 | 73 | 65 | 65 | 68 | 50 | 69 | 68 | 64 | 59 | 48 | 48 | 61 | 88 | 64 | 0 | 24 | 0 | 0$ | |||||
2 | Oskar Back | X | X | 100.00 | 82 | 76 | 94 | 67 | 78 | 74 | 79 | 61 | 74 | 66 | 54 | 65 | 48 | 48 | 48 | 57 | 87 | 63 | 0 | 25 | 0 | 0$ | ||||
3 | Cole Clayton | X | 100.00 | 77 | 76 | 84 | 66 | 77 | 63 | 67 | 51 | 25 | 45 | 42 | 63 | 39 | 47 | 46 | 51 | 55 | 59 | 0 | 25 | 0 | 0$ | |||||
4 | Robin Salo | X | 100.00 | 72 | 67 | 91 | 65 | 67 | 69 | 74 | 50 | 25 | 44 | 40 | 57 | 39 | 48 | 48 | 50 | 76 | 58 | 0 | 26 | 0 | 0$ | |||||
MOYENNE D’ÉQUIPE | 100.00 | 75 | 66 | 82 | 67 | 72 | 66 | 71 | 57 | 48 | 53 | 52 | 63 | 43 | 50 | 50 | 55 | 71 | 60 |
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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Portillo | 100.00 | 62 | 47 | 59 | 85 | 67 | 67 | 64 | 69 | 66 | 64 | 30 | 46 | 46 | 58 | 88 | 63 | 0 | 24 | 1 | 875,000$ | ||
2 | Felix Sandstrom | 100.00 | 47 | 50 | 63 | 75 | 45 | 46 | 49 | 52 | 46 | 48 | 30 | 47 | 46 | 47 | 83 | 51 | 0 | 28 | 2 | 1,585,000$ | ||
3 | Keith Kinkaid | 100.00 | 46 | 49 | 61 | 76 | 44 | 45 | 50 | 53 | 46 | 47 | 30 | 44 | 44 | 48 | 29 | 50 | 0 | 36 | 2 | 800,000$ | ||
Rayé | ||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 52 | 49 | 61 | 79 | 52 | 53 | 54 | 58 | 53 | 53 | 30 | 46 | 45 | 51 | 67 | 55 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|
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 |
---|
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 | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aku Raty | ![]() | RW | 24 | 2001-07-05 | FIN | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Benoit-Olivier Groulx | ![]() | C | 25 | 2000-02-05 | FRA | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,340,000$ | 1,340,000$ | 0$ | 0$ | No | 1,340,000$ | - | - | - | - | - | - | - | - | 1,340,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Bokondji Imama | ![]() | LW | 29 | 1996-08-02 | QUE | No | 214 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 914,000$ | 914,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Cole Clayton | ![]() | D | 25 | 2000-02-29 | AB | No | 209 Lbs | 6 ft2 | No | No | Trade | 2025-01-31 | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Connor Brown | ![]() | LW/RW | 31 | 1994-01-14 | ONT | No | 186 Lbs | 6 ft0 | No | No | Trade | 2025-09-03 | No | No | 2 | 2024-09-16 | False | False | Pro & Farm | 2,800,000$ | 2,800,000$ | 0$ | 0$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 2,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
Curtis Douglas | ![]() | C | 25 | 2000-03-06 | ONT | No | 248 Lbs | 6 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,066,000$ | 1,066,000$ | 0$ | 0$ | No | 1,066,000$ | - | - | - | - | - | - | - | - | 1,066,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Dmitri Samorukov | ![]() | D | 26 | 1999-06-16 | RUS | No | 181 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,082,000$ | 1,082,000$ | 0$ | 0$ | No | 1,082,000$ | - | - | - | - | - | - | - | - | 1,082,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Erik Portillo | ![]() | G | 24 | 2000-09-03 | SWE | No | 198 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Felix Sandstrom | ![]() | G | 28 | 1997-01-12 | SWE | No | 191 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,585,000$ | 1,585,000$ | 0$ | 0$ | No | 1,585,000$ | - | - | - | - | - | - | - | - | 1,585,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jermaine Loewen | ![]() | LW/RW | 27 | 1998-01-18 | JAM | No | 216 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 888,000$ | 888,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Keith Kinkaid | ![]() | G | 36 | 1989-07-03 | USA | No | 186 Lbs | 6 ft3 | No | No | Trade | 2024-12-03 | No | No | 2 | 2024-10-16 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
Oskar Back | ![]() | C/RW | 25 | 2000-03-12 | SWE | No | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
Oskar Steen | ![]() | C/RW | 27 | 1998-03-09 | SWE | No | 187 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,074,000$ | 1,074,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Robin Salo | ![]() | D | 26 | 1998-10-13 | FIN | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
Ruslan Iskhakov | ![]() | C | 25 | 2000-07-22 | RUS | No | 152 Lbs | 5 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ryan Suzuki | ![]() | C | 24 | 2001-05-28 | ONT | Yes | 180 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,243,000$ | 1,243,000$ | 0$ | 0$ | No | 1,243,000$ | - | - | - | - | - | - | - | - | 1,243,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Shakir Mukhamadullin | ![]() | D | 22 | 2002-10-01 | RUS | Yes | 178 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,294,167$ | 1,294,167$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Tyler Angle | ![]() | C | 24 | 2000-09-30 | ONT | No | 172 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,061,000$ | 1,061,000$ | 0$ | 0$ | No | 1,061,000$ | - | - | - | - | - | - | - | - | 1,061,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
William Villeneuve | ![]() | D | 23 | 2002-03-20 | QUE | Yes | 175 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 817,778$ | 817,778$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
19 | 26.11 | 192 Lbs | 6 ft2 | 1.21 | 934,997$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Benoit-Olivier Groulx | 40 | 1 | 2 | 2 | ||
2 | Jermaine Loewen | Tyler Angle | 30 | 1 | 2 | 2 | |
3 | Ruslan Iskhakov | Oskar Steen | 20 | 1 | 2 | 2 | |
4 | Benoit-Olivier Groulx | 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 | Benoit-Olivier Groulx | 60 | 1 | 2 | 2 | ||
2 | Jermaine Loewen | Tyler Angle | 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 | Benoit-Olivier Groulx | 60 | 1 | 2 | 2 | |
2 | Jermaine Loewen | 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 | Benoit-Olivier Groulx | 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 | Benoit-Olivier Groulx | 60 | 1 | 2 | 2 | |
2 | Jermaine Loewen | 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 |
Benoit-Olivier Groulx |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Benoit-Olivier Groulx |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ruslan Iskhakov, Oskar Steen, Benoit-Olivier Groulx | Ruslan Iskhakov, Oskar Steen | Ruslan Iskhakov |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , Benoit-Olivier Groulx, , Ruslan Iskhakov |
Gardien |
---|
#1 : Erik Portillo, #2 : Felix Sandstrom |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
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 |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
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 |
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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 50 | 30 |
Assistance | 0% | 0% |
Assistance PCT | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
46 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
0$ | 1,776,495$ | 1,776,495$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 0$ | 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 |
---|