Atlantic City Aces | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: | Morale : 40 | Moyenne d’équipe : 60 Prochains matchs #1 vs Greensboro Generals |
|
|
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 | Nigel Berry | X | 100.00 | 93 | 59 | 87 | 80 | 76 | 62 | 77 | 57 | 72 | 54 | 57 | 78 | 25 | 70 | 72 | 66 | 40 | 65 | 0 | 29 | 1 | 1,661,994$ | ||||
2 | Chris Cupit (R) | X | 100.00 | 77 | 74 | 85 | 76 | 74 | 75 | 78 | 63 | 50 | 56 | 65 | 66 | 62 | 45 | 45 | 66 | 40 | 63 | 0 | 23 | 3 | 1,425,483$ | ||||
3 | Miles Strymbiski | X | 100.00 | 72 | 65 | 89 | 70 | 65 | 64 | 64 | 65 | 80 | 65 | 58 | 67 | 55 | 57 | 57 | 64 | 40 | 62 | 0 | 33 | 4 | 1,040,504$ | ||||
4 | Tor Soderberg (R) | X | 100.00 | 61 | 41 | 87 | 78 | 70 | 56 | 64 | 66 | 25 | 55 | 70 | 57 | 25 | 46 | 46 | 66 | 40 | 60 | 0 | 22 | 4 | 954,083$ | ||||
5 | Hayes Watson | X | 100.00 | 75 | 70 | 88 | 65 | 70 | 58 | 57 | 62 | 78 | 59 | 61 | 64 | 58 | 44 | 44 | 63 | 40 | 59 | 0 | 28 | 1 | 750,000$ | ||||
6 | Nathan Mery | X | 100.00 | 85 | 99 | 67 | 69 | 90 | 48 | 68 | 55 | 25 | 49 | 47 | 70 | 25 | 62 | 62 | 58 | 40 | 59 | 0 | 30 | 4 | 1,403,232$ | ||||
7 | Nick Shoop (R) | X | 100.00 | 75 | 74 | 77 | 67 | 74 | 56 | 56 | 58 | 50 | 51 | 61 | 63 | 58 | 44 | 44 | 62 | 40 | 58 | 0 | 25 | 2 | 925,000$ | ||||
8 | Ollie MacLeod (R) | X | 100.00 | 76 | 72 | 85 | 69 | 72 | 63 | 65 | 57 | 50 | 54 | 56 | 63 | 53 | 44 | 44 | 61 | 40 | 58 | 0 | 29 | 4 | 973,898$ | ||||
9 | Rich Meeks (R) | X | 100.00 | 67 | 60 | 84 | 62 | 60 | 74 | 78 | 58 | 73 | 49 | 63 | 59 | 60 | 45 | 45 | 61 | 40 | 58 | 0 | 32 | 1 | 750,000$ | ||||
10 | Bennie Hartfield | X | 100.00 | 74 | 70 | 84 | 68 | 70 | 59 | 60 | 56 | 70 | 60 | 47 | 62 | 45 | 44 | 44 | 57 | 40 | 57 | 0 | 31 | 1 | 750,000$ | ||||
11 | Norman Pufahl (R) | X | 100.00 | 74 | 74 | 74 | 64 | 74 | 73 | 79 | 51 | 50 | 47 | 50 | 61 | 48 | 44 | 44 | 56 | 40 | 56 | 0 | 23 | 2 | 905,000$ | ||||
12 | Mario Singer (R) | X | 100.00 | 76 | 70 | 89 | 77 | 70 | 65 | 68 | 57 | 25 | 48 | 51 | 63 | 48 | 44 | 44 | 60 | 40 | 61 | 0 | 20 | 3 | 971,961$ | ||||
13 | Lars Willhite | X | 100.00 | 75 | 68 | 90 | 63 | 68 | 79 | 87 | 52 | 25 | 46 | 42 | 62 | 40 | 45 | 45 | 56 | 40 | 60 | 0 | 31 | 1 | 750,000$ | ||||
14 | Erik Tresierra (R) | X | 100.00 | 79 | 74 | 89 | 61 | 74 | 70 | 75 | 50 | 25 | 44 | 41 | 63 | 39 | 44 | 44 | 54 | 40 | 59 | 0 | 31 | 2 | 762,500$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Alexy Nedelec | X | 100.00 | 74 | 76 | 69 | 68 | 76 | 59 | 61 | 54 | 50 | 47 | 57 | 62 | 54 | 44 | 44 | 58 | 40 | 57 | 0 | 27 | 1 | 750,000$ | ||||
2 | Ron Blair (R) | X | 100.00 | 72 | 64 | 91 | 66 | 64 | 61 | 64 | 53 | 66 | 50 | 51 | 60 | 48 | 44 | 44 | 57 | 40 | 56 | 0 | 25 | 1 | 750,000$ | ||||
3 | David Sicard (R) | X | 100.00 | 70 | 60 | 94 | 65 | 60 | 58 | 59 | 55 | 69 | 44 | 61 | 60 | 58 | 44 | 44 | 60 | 40 | 56 | 0 | 23 | 1 | 750,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 75 | 69 | 84 | 69 | 71 | 64 | 68 | 57 | 52 | 52 | 55 | 64 | 47 | 48 | 48 | 60 | 40 | 59 |
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 | Cody Varga | 100.00 | 64 | 68 | 68 | 76 | 65 | 62 | 83 | 66 | 65 | 64 | 92 | 68 | 71 | 68 | 40 | 67 | 0 | 34 | 2 | 1,236,211$ | |
2 | Luca Soukiala | 100.00 | 63 | 66 | 65 | 81 | 65 | 60 | 69 | 60 | 65 | 63 | 43 | 56 | 56 | 64 | 40 | 63 | 0 | 27 | 1 | 1,120,888$ | |
Rayé | |||||||||||||||||||||||
1 | Michel Riemer | 100.00 | 53 | 54 | 68 | 84 | 52 | 55 | 53 | 58 | 54 | 54 | 30 | 46 | 46 | 54 | 40 | 56 | 0 | 23 | 2 | 863,279$ | |
MOYENNE D’ÉQUIPE | 100.00 | 60 | 63 | 67 | 80 | 61 | 59 | 68 | 61 | 61 | 60 | 55 | 57 | 58 | 62 | 40 | 62 |
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 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexy Nedelec | Atlantic City Aces (HOU) | LW | 27 | 1997-04-10 | No | 205 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Bennie Hartfield | Atlantic City Aces (HOU) | C | 31 | 1993-07-28 | No | 187 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Chris Cupit | Atlantic City Aces (HOU) | LW | 23 | 2000-11-29 | Yes | 195 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 3 | 2024-07-23 | False | False | Pro & Farm | 1,425,483$ | 0$ | 0$ | No | 1,425,483$ | 1,425,483$ | - | - | - | - | - | - | - | 1,425,483$ | 1,425,483$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Cody Varga | Atlantic City Aces (HOU) | G | 34 | 1990-08-07 | No | 195 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 1,236,211$ | 0$ | 0$ | No | 1,236,211$ | - | - | - | - | - | - | - | - | 1,236,211$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
David Sicard | Atlantic City Aces (HOU) | C | 23 | 2001-03-23 | Yes | 170 Lbs | 5 ft8 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Erik Tresierra | Atlantic City Aces (HOU) | D | 31 | 1993-03-12 | Yes | 203 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | - | - | - | - | - | - | - | - | 762,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Hayes Watson | Atlantic City Aces (HOU) | C | 28 | 1996-07-22 | No | 183 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Lars Willhite | Atlantic City Aces (HOU) | D | 31 | 1993-02-15 | No | 189 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Luca Soukiala | Atlantic City Aces (HOU) | G | 27 | 1996-08-16 | No | 215 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 1,120,888$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Mario Singer | Atlantic City Aces (HOU) | D | 20 | 2004-02-15 | Yes | 190 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2024-07-23 | False | False | Pro & Farm | 971,961$ | 0$ | 0$ | No | 971,961$ | 971,961$ | - | - | - | - | - | - | - | 971,961$ | 971,961$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Michel Riemer | Atlantic City Aces (HOU) | G | 23 | 2000-12-22 | No | 205 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 863,279$ | 0$ | 0$ | No | 863,279$ | - | - | - | - | - | - | - | - | 863,279$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Miles Strymbiski | Atlantic City Aces (HOU) | C | 33 | 1990-10-01 | No | 180 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 1,040,504$ | 0$ | 0$ | No | 1,040,504$ | 1,040,504$ | 1,040,504$ | - | - | - | - | - | - | 1,040,504$ | 1,040,504$ | 1,040,504$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Nathan Mery | Atlantic City Aces (HOU) | LW | 30 | 1994-03-25 | No | 233 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 1,403,232$ | 0$ | 0$ | No | 1,403,232$ | 1,403,232$ | 1,403,232$ | - | - | - | - | - | - | 1,403,232$ | 1,403,232$ | 1,403,232$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Nick Shoop | Atlantic City Aces (HOU) | LW | 25 | 1999-01-11 | Yes | 205 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Nigel Berry | Atlantic City Aces (HOU) | C | 29 | 1995-02-02 | No | 211 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 1,661,994$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Norman Pufahl | Atlantic City Aces (HOU) | RW | 23 | 2001-01-11 | Yes | 205 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 905,000$ | 0$ | 0$ | No | 905,000$ | - | - | - | - | - | - | - | - | 905,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Ollie MacLeod | Atlantic City Aces (HOU) | LW | 29 | 1995-02-13 | Yes | 198 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 973,898$ | 0$ | 0$ | No | 973,898$ | 973,898$ | 973,898$ | - | - | - | - | - | - | 973,898$ | 973,898$ | 973,898$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Rich Meeks | Atlantic City Aces (HOU) | C | 32 | 1992-05-05 | Yes | 170 Lbs | 5 ft8 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Ron Blair | Atlantic City Aces (HOU) | C | 25 | 1999-07-30 | Yes | 170 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Tor Soderberg | Atlantic City Aces (HOU) | RW | 22 | 2002-01-23 | Yes | 192 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 954,083$ | 0$ | 0$ | No | 954,083$ | 954,083$ | 954,083$ | - | - | - | - | - | - | 954,083$ | 954,083$ | 954,083$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 27.30 | 195 Lbs | 6 ft1 | 2.05 | 974,702$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
---|
, , , , , , , , , , |
Lignes de défense personnalisées en prolongation |
---|
, , , , |
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 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 6000 | 4500 |
Prix des billets | 39 | 20 |
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 |
36 | 0 - 0% | 0$ | 0$ | 10500 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
0$ | 1,949,402$ | 1,949,402$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
13,444$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 145 | 13,444$ | 1,949,380$ |
# | 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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