Toronto Marlies | |
GP: 10 | W: 2 | L: 6 | OTL: 2 | P: 6 GF: 26 | GA: 44 | PP%: 18.75% | PK%: 87.50% DG: Nick Fournier | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #155 vs Rockford IceHogs |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Wayne Simmonds | X | X | 100.00 | 40 | 35 | 40 | 63 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 88 | 76 | 11 | 50 | 0 | 0 | 36 | 3 | 1,999,999$ | |||
2 | Derek Stepan | X | X | 100.00 | 40 | 35 | 40 | 64 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 84 | 73 | 11 | 47 | 0 | 0 | 34 | 3 | 750,000$ | |||
3 | Jonathan Dahlen | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 2 | 750,000$ | ||||
4 | Jacob Perreault (R) | X | 100.00 | 62 | 42 | 68 | 60 | 71 | 76 | 77 | 59 | 60 | 58 | 57 | 56 | 59 | 62 | 64 | 80 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
5 | Wade Allison | X | 100.00 | 78 | 60 | 77 | 62 | 81 | 84 | 82 | 59 | 57 | 56 | 61 | 63 | 59 | 68 | 69 | 61 | 41 | 0 | 0 | 26 | 2 | 925,000$ | ||||
6 | Logan Hutsko (R) | X | 100.00 | 40 | 35 | 40 | 61 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 64 | 66 | 11 | 50 | 0 | 0 | 25 | 1 | 892,500$ | ||||
7 | Filip Cederqvist (R) | X | 100.00 | 74 | 40 | 84 | 58 | 83 | 78 | 80 | 57 | 54 | 56 | 56 | 59 | 55 | 64 | 66 | 53 | 50 | 0 | 0 | 24 | 1 | 850,000$ | ||||
8 | Josh Doan (R) | X | 100.00 | 64 | 37 | 88 | 69 | 74 | 86 | 76 | 67 | 60 | 66 | 72 | 63 | 69 | 62 | 68 | 76 | 43 | 0 | 0 | 22 | 1 | 925,000$ | ||||
9 | Logan Morrison (R) | X | 100.00 | 61 | 36 | 95 | 63 | 70 | 82 | 72 | 62 | 71 | 60 | 58 | 66 | 63 | 62 | 64 | 53 | 50 | 0 | 0 | 22 | 1 | 870,000$ | ||||
10 | Stephen Halliday (R) | X | 100.00 | 77 | 39 | 94 | 62 | 86 | 71 | 60 | 58 | 74 | 65 | 50 | 61 | 54 | 63 | 64 | 62 | 50 | 0 | 0 | 22 | 1 | 950,000$ | ||||
11 | Viktor Neuchev (R) | X | 100.00 | 64 | 37 | 95 | 58 | 73 | 79 | 70 | 56 | 62 | 59 | 57 | 55 | 58 | 61 | 63 | 66 | 50 | 0 | 0 | 20 | 1 | 870,000$ | ||||
12 | Danny DeKeyser | X | 100.00 | 40 | 35 | 40 | 62 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 76 | 72 | 11 | 47 | 0 | 0 | 34 | 3 | 999,999$ | ||||
13 | Nikita Novikov (R) | X | 100.00 | 74 | 41 | 79 | 59 | 83 | 63 | 71 | 56 | 30 | 60 | 53 | 58 | 46 | 61 | 63 | 49 | 50 | 0 | 0 | 21 | 1 | 867,500$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 58 | 39 | 68 | 60 | 61 | 78 | 80 | 52 | 44 | 52 | 51 | 52 | 47 | 65 | 64 | 43 | 48 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kevin Poulin | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 73 | 87 | 11 | 50 | 0 | 0 | 34 | 3 | 750,000$ | |
2 | Landon Bow | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 1 | 700,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 49 | 56 | 11 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Danny DeKeyser | Toronto Marlies (TOR) | D | 34 | 1990-03-07 | USA | No | 183 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 999,999$ | 881,442$ | 0$ | 0$ | No | 999,999$ | 999,999$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Derek Stepan | Toronto Marlies (TOR) | C/RW | 34 | 1990-06-18 | USA | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Filip Cederqvist | Toronto Marlies (TOR) | LW | 24 | 2000-08-23 | SWE | Yes | 196 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 749,227$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jacob Perreault | Toronto Marlies (TOR) | RW | 22 | 2002-04-15 | USA | Yes | 192 Lbs | 5 ft11 | No | No | Trade | 2024-01-02 | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Jonathan Dahlen | Toronto Marlies (TOR) | LW | 26 | 1997-12-20 | SWE | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Josh Doan | Toronto Marlies (TOR) | RW | 22 | 2002-02-01 | USA | Yes | 183 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Kevin Poulin | Toronto Marlies (TOR) | G | 34 | 1990-04-12 | CAN | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Landon Bow | Toronto Marlies (TOR) | G | 29 | 1995-08-24 | CAN | No | 220 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Logan Hutsko | Toronto Marlies (TOR) | RW | 25 | 1999-01-11 | USA | Yes | 172 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 892,500$ | 786,688$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Logan Morrison | Toronto Marlies (TOR) | C | 22 | 2002-07-09 | CAN | Yes | 179 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 870,000$ | 766,856$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Nikita Novikov | Toronto Marlies (TOR) | D | 21 | 2003-07-25 | RUS | Yes | 196 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 867,500$ | 764,652$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Stephen Halliday | Toronto Marlies (TOR) | C | 22 | 2002-07-02 | CAN | Yes | 213 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 950,000$ | 837,371$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Viktor Neuchev | Toronto Marlies (TOR) | LW | 20 | 2003-10-25 | RUS | Yes | 165 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 870,000$ | 766,856$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Wade Allison | Toronto Marlies (TOR) | RW | 26 | 1997-10-14 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Wayne Simmonds | Toronto Marlies (TOR) | LW/RW | 36 | 1988-07-27 | CAN | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,999,999$ | 1,762,886$ | 0$ | 0$ | No | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
15 | 26.47 | 191 Lbs | 6 ft1 | 1.67 | 935,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 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 | Bakersfield Condors | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 13 | 7 | 4 | 3 | 34 | 93 | 105 | 75 | 14 | 60 | 23 | 0 | 27 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
2 | Belleville Senators | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 13 | 7 | 4 | 3 | 27 | 93 | 105 | 75 | 14 | 59 | 14 | 2 | 31 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
3 | Bridgeport Islanders | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 13 | 7 | 4 | 3 | 36 | 93 | 105 | 75 | 14 | 45 | 18 | 4 | 42 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
4 | Calgary Wranglers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 13 | 7 | 4 | 3 | 45 | 93 | 105 | 75 | 14 | 56 | 13 | 0 | 24 | 1 | 1 | 100.00% | 0 | 0 | 0% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
5 | Colorado Eagles | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 13 | 7 | 4 | 3 | 50 | 93 | 105 | 75 | 14 | 95 | 35 | 0 | 37 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
6 | Providence Bruins | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 14 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 13 | 7 | 4 | 3 | 80 | 93 | 105 | 75 | 14 | 148 | 37 | 8 | 61 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
7 | Rochester Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 4 | 3 | 8 | 93 | 105 | 75 | 14 | 29 | 8 | 2 | 9 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
Total | 10 | 0 | 6 | 0 | 1 | 1 | 1 | 1 | 26 | 44 | -18 | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 12 | 18 | -6 | 6 | 0 | 4 | 0 | 0 | 0 | 1 | 1 | 14 | 26 | -12 | 6 | 0.300 | 26 | 49 | 75 | 0 | 0 | 13 | 7 | 4 | 3 | 280 | 93 | 105 | 75 | 14 | 492 | 148 | 16 | 231 | 16 | 3 | 18.75% | 8 | 1 | 87.50% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 | |
_Since Last GM Reset | 10 | 0 | 6 | 0 | 1 | 1 | 1 | 1 | 26 | 44 | -18 | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 12 | 18 | -6 | 6 | 0 | 4 | 0 | 0 | 0 | 1 | 1 | 14 | 26 | -12 | 6 | 0.300 | 26 | 49 | 75 | 0 | 0 | 13 | 7 | 4 | 3 | 280 | 93 | 105 | 75 | 14 | 492 | 148 | 16 | 231 | 16 | 3 | 18.75% | 8 | 1 | 87.50% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 | |
_Vs Conference | 6 | 0 | 4 | 0 | 0 | 1 | 1 | 0 | 14 | 27 | -13 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 14 | -7 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 13 | -6 | 3 | 0.250 | 14 | 25 | 39 | 0 | 0 | 13 | 7 | 4 | 3 | 151 | 93 | 105 | 75 | 14 | 281 | 77 | 16 | 143 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 | |
_Vs Division | 1 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 13 | 7 | 4 | 3 | 36 | 93 | 105 | 75 | 14 | 45 | 18 | 4 | 42 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% | 174 | 119 | 323 | 70 | 117 | 51 |
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 |
10 | 6 | SOW1 | 26 | 49 | 75 | 280 | 492 | 148 | 16 | 231 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 0 | 6 | 1 | 1 | 1 | 1 | 26 | 44 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 2 | 1 | 1 | 0 | 0 | 12 | 18 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 0 | 4 | 0 | 0 | 1 | 1 | 14 | 26 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 6 | 1 | 1 | 1 | 1 |
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 |
---|---|---|---|---|---|---|
16 | 3 | 18.75% | 8 | 1 | 87.50% | 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 |
---|---|---|---|---|---|---|---|
93 | 105 | 75 | 14 | 13 | 7 | 4 | 3 |
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 |
93 | 218 | 42.66% | 112 | 307 | 36.48% | 67 | 151 | 44.37% |
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 |
174 | 119 | 323 | 70 | 117 | 51 |
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 | 7,758 | 3,925 |
Assistance PCT | 96.98% | 98.13% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
32 | 2921 - 97.36% | 97,470$ | 389,878$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
167,416$ | 1,402,500$ | 1,015,202$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
7,229$ | 167,416$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
3,119,024$ | 171 | 7,229$ | 1,236,159$ |
# | 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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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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