Toronto Marlies | |
GP: 25 | W: 7 | L: 14 | OTL: 4 | P: 18 GF: 52 | GA: 101 | PP%: 11.76% | PK%: 84.00% DG: Nick Fournier | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #404 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$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 57 | 39 | 67 | 60 | 59 | 80 | 81 | 52 | 45 | 52 | 51 | 52 | 47 | 65 | 64 | 42 | 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$ | 701,030$ | 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$ | 525,773$ | 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$ | 595,876$ | 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$ | 648,454$ | 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$ | 525,773$ | 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$ | 648,454$ | 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$ | 525,773$ | 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$ | 490,722$ | 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$ | 625,670$ | 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$ | 609,897$ | 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$ | 665,979$ | 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$ | 609,897$ | 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$ | 648,454$ | 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$ | 1,402,061$ | 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 |
---|---|---|---|---|---|
14 | 26.86 | 191 Lbs | 6 ft1 | 1.71 | 939,821$ |
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 | Abbotsford Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 22 | 15 | 11 | 6 | 20 | 197 | 221 | 194 | 25 | 73 | 21 | 2 | 27 | 8 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
2 | 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 | 22 | 15 | 11 | 6 | 34 | 197 | 221 | 194 | 25 | 60 | 23 | 0 | 27 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
3 | 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 | 22 | 15 | 11 | 6 | 27 | 197 | 221 | 194 | 25 | 59 | 14 | 2 | 31 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
4 | 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 | 22 | 15 | 11 | 6 | 36 | 197 | 221 | 194 | 25 | 45 | 18 | 4 | 42 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
5 | 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 | 22 | 15 | 11 | 6 | 45 | 197 | 221 | 194 | 25 | 56 | 13 | 0 | 24 | 1 | 1 | 100.00% | 0 | 0 | 0% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
6 | Charlotte Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 22 | 15 | 11 | 6 | 39 | 197 | 221 | 194 | 25 | 27 | 11 | 4 | 31 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
7 | Chicago Wolves | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 22 | 15 | 11 | 6 | 9 | 197 | 221 | 194 | 25 | 40 | 8 | 2 | 13 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
8 | Coachella Valley Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 22 | 15 | 11 | 6 | 12 | 197 | 221 | 194 | 25 | 45 | 10 | 4 | 14 | 0 | 0 | 0% | 2 | 0 | 100.00% | 1 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
9 | 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 | 22 | 15 | 11 | 6 | 50 | 197 | 221 | 194 | 25 | 95 | 35 | 0 | 37 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
10 | Hershey Bears | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 22 | 15 | 11 | 6 | 38 | 197 | 221 | 194 | 25 | 37 | 10 | 2 | 28 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
11 | Laval Rocket | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 22 | 15 | 11 | 6 | 48 | 197 | 221 | 194 | 25 | 53 | 19 | 4 | 41 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
12 | LeHigh Valley Phantoms | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 22 | 15 | 11 | 6 | 24 | 197 | 221 | 194 | 25 | 63 | 10 | 2 | 33 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
13 | Manitoba Moose | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 22 | 15 | 11 | 6 | 58 | 197 | 221 | 194 | 25 | 62 | 15 | 2 | 25 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
14 | Milwaukee Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 22 | 15 | 11 | 6 | 28 | 197 | 221 | 194 | 25 | 45 | 9 | 4 | 10 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
15 | 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 | 22 | 15 | 11 | 6 | 80 | 197 | 221 | 194 | 25 | 148 | 37 | 8 | 61 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
16 | Rochester Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 22 | 15 | 11 | 6 | 21 | 197 | 221 | 194 | 25 | 56 | 26 | 8 | 20 | 5 | 1 | 20.00% | 4 | 2 | 50.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
17 | Rockford IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 22 | 15 | 11 | 6 | 36 | 197 | 221 | 194 | 25 | 40 | 9 | 2 | 34 | 4 | 2 | 50.00% | 1 | 0 | 100.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
18 | Utica Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 22 | 15 | 11 | 6 | 18 | 197 | 221 | 194 | 25 | 86 | 27 | 5 | 28 | 10 | 0 | 0.00% | 0 | 0 | 0% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
Total | 25 | 3 | 14 | 0 | 2 | 2 | 2 | 2 | 52 | 101 | -49 | 12 | 3 | 5 | 0 | 1 | 2 | 0 | 1 | 29 | 45 | -16 | 13 | 0 | 9 | 0 | 1 | 0 | 2 | 1 | 23 | 56 | -33 | 18 | 0.360 | 52 | 99 | 151 | 0 | 0 | 22 | 15 | 11 | 6 | 623 | 197 | 221 | 194 | 25 | 1090 | 315 | 55 | 526 | 51 | 6 | 11.76% | 25 | 4 | 84.00% | 1 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 | |
_Since Last GM Reset | 25 | 3 | 14 | 0 | 2 | 2 | 2 | 2 | 52 | 101 | -49 | 12 | 3 | 5 | 0 | 1 | 2 | 0 | 1 | 29 | 45 | -16 | 13 | 0 | 9 | 0 | 1 | 0 | 2 | 1 | 23 | 56 | -33 | 18 | 0.360 | 52 | 99 | 151 | 0 | 0 | 22 | 15 | 11 | 6 | 623 | 197 | 221 | 194 | 25 | 1090 | 315 | 55 | 526 | 51 | 6 | 11.76% | 25 | 4 | 84.00% | 1 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 | |
_Vs Conference | 16 | 2 | 8 | 0 | 1 | 2 | 2 | 1 | 32 | 64 | -32 | 9 | 2 | 4 | 0 | 0 | 2 | 0 | 1 | 19 | 35 | -16 | 7 | 0 | 4 | 0 | 1 | 0 | 2 | 0 | 13 | 29 | -16 | 13 | 0.406 | 32 | 59 | 91 | 0 | 0 | 22 | 15 | 11 | 6 | 398 | 197 | 221 | 194 | 25 | 676 | 195 | 43 | 353 | 32 | 2 | 6.25% | 18 | 3 | 83.33% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 | |
_Vs Division | 6 | 0 | 6 | 0 | 1 | 1 | 0 | 0 | 13 | 25 | -12 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 2 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 5 | 12 | -7 | 3 | 0.250 | 13 | 24 | 37 | 0 | 0 | 22 | 15 | 11 | 6 | 125 | 197 | 221 | 194 | 25 | 271 | 73 | 15 | 144 | 16 | 1 | 6.25% | 5 | 1 | 80.00% | 0 | 194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% | 398 | 271 | 851 | 177 | 277 | 114 |
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 |
25 | 18 | SOW1 | 52 | 99 | 151 | 623 | 1090 | 315 | 55 | 526 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 3 | 14 | 2 | 2 | 2 | 2 | 52 | 101 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 3 | 5 | 1 | 2 | 0 | 1 | 29 | 45 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 0 | 9 | 1 | 0 | 2 | 1 | 23 | 56 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 5 | 0 | 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 |
---|---|---|---|---|---|---|
51 | 6 | 11.76% | 25 | 4 | 84.00% | 1 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
197 | 221 | 194 | 25 | 22 | 15 | 11 | 6 |
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 |
194 | 492 | 39.43% | 272 | 704 | 38.64% | 144 | 371 | 38.81% |
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 |
398 | 271 | 851 | 177 | 277 | 114 |
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 | 23,091 | 11,699 |
Assistance PCT | 96.21% | 97.49% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
24 | 2899 - 96.64% | 96,728$ | 1,160,731$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
418,643$ | 1,315,750$ | 955,202$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
6,782$ | 418,643$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
2,321,462$ | 136 | 6,782$ | 922,352$ |
# | 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 |
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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 |
---|