Kansas City Wranglers | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: | Morale : 40 | Moyenne d’équipe : 70 Prochains matchs #3 vs Minneapolis Saints |
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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 | Brent Andress | X | 100.00 | 73 | 53 | 65 | 86 | 64 | 84 | 87 | 84 | 43 | 83 | 95 | 78 | 37 | 69 | 69 | 86 | 43 | 77 | 0 | 27 | 2 | 6,562,966$ | ||||
2 | Dean Aitkin | X | 100.00 | 73 | 44 | 83 | 80 | 80 | 73 | 84 | 87 | 99 | 74 | 73 | 63 | 63 | 79 | 82 | 74 | 43 | 73 | 0 | 32 | 2 | 3,740,496$ | ||||
3 | Dayton Dupere | X | 100.00 | 85 | 45 | 81 | 80 | 71 | 78 | 90 | 74 | 84 | 76 | 74 | 80 | 25 | 70 | 70 | 77 | 43 | 73 | 0 | 30 | 1 | 3,525,123$ | ||||
4 | Phil Chadney | X | 100.00 | 81 | 44 | 92 | 74 | 67 | 76 | 93 | 79 | 57 | 74 | 85 | 69 | 25 | 62 | 63 | 79 | 43 | 71 | 0 | 25 | 3 | 2,601,727$ | ||||
5 | Boone Geddes | X | 100.00 | 75 | 43 | 90 | 85 | 63 | 73 | 97 | 76 | 80 | 76 | 74 | 65 | 53 | 60 | 60 | 75 | 43 | 71 | 0 | 25 | 1 | 2,392,535$ | ||||
6 | Ed Torpy | X | 100.00 | 73 | 64 | 85 | 84 | 62 | 75 | 90 | 73 | 37 | 74 | 71 | 69 | 25 | 64 | 64 | 74 | 43 | 69 | 0 | 24 | 4 | 2,182,356$ | ||||
7 | Carl O'Manning (R) | X | 100.00 | 75 | 43 | 94 | 74 | 65 | 78 | 66 | 75 | 79 | 75 | 70 | 84 | 25 | 55 | 55 | 75 | 43 | 69 | 0 | 25 | 4 | 1,792,014$ | ||||
8 | Tate Randell | X | 100.00 | 97 | 70 | 77 | 75 | 80 | 61 | 97 | 58 | 32 | 60 | 68 | 79 | 25 | 70 | 72 | 71 | 43 | 67 | 0 | 32 | 4 | 1,613,026$ | ||||
9 | Trey Syme | X | 100.00 | 76 | 44 | 94 | 74 | 75 | 62 | 76 | 60 | 73 | 61 | 64 | 90 | 25 | 59 | 59 | 70 | 43 | 66 | 0 | 25 | 1 | 1,250,752$ | ||||
10 | Anton Tsyva | X | 100.00 | 69 | 43 | 94 | 85 | 76 | 64 | 87 | 66 | 25 | 62 | 60 | 62 | 25 | 65 | 66 | 66 | 43 | 65 | 0 | 27 | 4 | 1,665,501$ | ||||
11 | Rodion Lapakov (R) | X | 100.00 | 82 | 75 | 98 | 63 | 75 | 60 | 60 | 66 | 80 | 56 | 65 | 77 | 62 | 79 | 82 | 67 | 43 | 65 | 0 | 36 | 1 | 750,000$ | ||||
12 | Nicolas Gendron | X | 100.00 | 99 | 99 | 55 | 73 | 84 | 56 | 98 | 58 | 33 | 58 | 58 | 69 | 25 | 72 | 73 | 64 | 43 | 64 | 0 | 33 | 2 | 1,497,077$ | ||||
13 | Timothy Marjamaa | X | 100.00 | 87 | 46 | 87 | 86 | 83 | 78 | 87 | 65 | 25 | 57 | 48 | 88 | 75 | 75 | 75 | 66 | 43 | 75 | 0 | 29 | 3 | 5,185,056$ | ||||
14 | Tim Bellissimo | X | 100.00 | 84 | 56 | 84 | 78 | 79 | 76 | 94 | 57 | 25 | 51 | 48 | 88 | 25 | 87 | 87 | 65 | 43 | 73 | 0 | 37 | 3 | 4,275,362$ | ||||
15 | Timothy Ruhl | X | 100.00 | 84 | 46 | 93 | 79 | 84 | 72 | 87 | 56 | 25 | 50 | 47 | 87 | 25 | 83 | 84 | 64 | 43 | 73 | 0 | 36 | 2 | 3,509,544$ | ||||
16 | Jimmy Radley | X | 100.00 | 71 | 43 | 85 | 82 | 70 | 81 | 98 | 64 | 25 | 54 | 50 | 85 | 25 | 68 | 68 | 65 | 43 | 72 | 0 | 28 | 4 | 4,024,444$ | ||||
17 | Cooper Binkley | X | 100.00 | 71 | 42 | 89 | 78 | 63 | 78 | 86 | 73 | 25 | 65 | 48 | 72 | 25 | 55 | 55 | 64 | 43 | 67 | 0 | 23 | 4 | 1,332,528$ | ||||
18 | Ryan Goree | X | 100.00 | 81 | 78 | 79 | 68 | 76 | 65 | 77 | 61 | 25 | 50 | 48 | 78 | 25 | 58 | 58 | 61 | 43 | 66 | 0 | 31 | 3 | 1,276,112$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 80 | 54 | 85 | 78 | 73 | 72 | 86 | 68 | 48 | 64 | 64 | 77 | 34 | 68 | 69 | 70 | 43 | 70 |
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 | Chance Loik | 100.00 | 76 | 80 | 77 | 71 | 77 | 76 | 83 | 77 | 77 | 76 | 86 | 62 | 63 | 77 | 43 | 73 | 0 | 26 | 2 | 2,998,749$ | |
2 | Moe Brinson | 100.00 | 59 | 54 | 54 | 70 | 65 | 52 | 83 | 62 | 65 | 59 | 95 | 56 | 57 | 63 | 43 | 62 | 0 | 29 | 2 | 942,687$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 68 | 67 | 66 | 71 | 71 | 64 | 83 | 70 | 71 | 68 | 91 | 59 | 60 | 70 | 43 | 68 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Tsyva | Kansas City Wranglers | RW | 27 | 1997-06-07 | No | 200 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 1,665,501$ | 1,665,501$ | 1,665,501$ | No | 1,665,501$ | 1,665,501$ | 1,665,501$ | - | - | - | - | - | - | 1,665,501$ | 1,665,501$ | 1,665,501$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Boone Geddes | Kansas City Wranglers | C | 25 | 1999-05-14 | No | 170 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 2,392,535$ | 2,392,535$ | 2,392,535$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Brent Andress | Kansas City Wranglers | RW | 27 | 1997-03-11 | No | 175 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 6,562,966$ | 6,562,966$ | 6,562,966$ | No | 6,562,966$ | - | - | - | - | - | - | - | - | 6,562,966$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Carl O'Manning | Kansas City Wranglers | LW | 25 | 1999-02-05 | Yes | 170 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 1,792,014$ | 1,792,014$ | 1,792,014$ | No | 1,792,014$ | 1,792,014$ | 1,792,014$ | - | - | - | - | - | - | 1,792,014$ | 1,792,014$ | 1,792,014$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Chance Loik | Kansas City Wranglers | G | 26 | 1998-08-12 | No | 181 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 2,998,749$ | 2,998,749$ | 2,998,749$ | No | 2,998,749$ | - | - | - | - | - | - | - | - | 2,998,749$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Cooper Binkley | Kansas City Wranglers | D | 23 | 2001-01-05 | No | 172 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 1,332,528$ | 1,332,528$ | 1,332,528$ | No | 1,332,528$ | 1,332,528$ | 1,332,528$ | - | - | - | - | - | - | 1,332,528$ | 1,332,528$ | 1,332,528$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Dayton Dupere | Kansas City Wranglers | C | 30 | 1994-05-30 | No | 190 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 3,525,123$ | 3,525,123$ | 3,525,123$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Dean Aitkin | Kansas City Wranglers | C | 32 | 1992-07-31 | No | 218 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 3,740,496$ | 3,740,496$ | 3,740,496$ | No | 3,740,496$ | - | - | - | - | - | - | - | - | 3,740,496$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Ed Torpy | Kansas City Wranglers | LW | 24 | 2000-02-25 | No | 164 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 2,182,356$ | 2,182,356$ | 2,182,356$ | No | 2,182,356$ | 2,182,356$ | 2,182,356$ | - | - | - | - | - | - | 2,182,356$ | 2,182,356$ | 2,182,356$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Jimmy Radley | Kansas City Wranglers | D | 28 | 1996-03-28 | No | 181 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 4,024,444$ | 4,024,444$ | 4,024,444$ | No | 4,024,444$ | 4,024,444$ | 4,024,444$ | - | - | - | - | - | - | 4,024,444$ | 4,024,444$ | 4,024,444$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Moe Brinson | Kansas City Wranglers | G | 29 | 1994-10-19 | No | 185 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 942,687$ | 942,687$ | 942,687$ | No | 942,687$ | - | - | - | - | - | - | - | - | 942,687$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Nicolas Gendron | Kansas City Wranglers | LW | 33 | 1991-02-22 | No | 219 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 1,497,077$ | 1,497,077$ | 1,497,077$ | No | 1,497,077$ | - | - | - | - | - | - | - | - | 1,497,077$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Phil Chadney | Kansas City Wranglers | RW | 25 | 1999-02-16 | No | 183 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2024-07-23 | False | False | Pro & Farm | 2,601,727$ | 2,601,727$ | 2,601,727$ | No | 2,601,727$ | 2,601,727$ | - | - | - | - | - | - | - | 2,601,727$ | 2,601,727$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Rodion Lapakov | Kansas City Wranglers | C | 36 | 1988-05-24 | Yes | 198 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Ryan Goree | Kansas City Wranglers | D | 31 | 1993-06-03 | No | 201 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 3 | 2024-07-23 | False | False | Pro & Farm | 1,276,112$ | 1,276,112$ | 1,276,112$ | No | 1,276,112$ | 1,276,112$ | - | - | - | - | - | - | - | 1,276,112$ | 1,276,112$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Tate Randell | Kansas City Wranglers | RW | 32 | 1991-11-23 | No | 210 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-07-23 | False | False | Pro & Farm | 1,613,026$ | 1,613,026$ | 1,613,026$ | No | 1,613,026$ | 1,613,026$ | 1,613,026$ | - | - | - | - | - | - | 1,613,026$ | 1,613,026$ | 1,613,026$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
Tim Bellissimo | Kansas City Wranglers | D | 37 | 1987-01-12 | No | 209 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 3 | 2024-07-23 | False | False | Pro & Farm | 4,275,362$ | 4,275,362$ | 4,275,362$ | No | 4,275,362$ | 4,275,362$ | - | - | - | - | - | - | - | 4,275,362$ | 4,275,362$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Timothy Marjamaa | Kansas City Wranglers | D | 29 | 1994-10-27 | No | 220 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 3 | 2024-07-23 | False | False | Pro & Farm | 5,185,056$ | 5,185,056$ | 5,185,056$ | No | 5,185,056$ | 5,185,056$ | - | - | - | - | - | - | - | 5,185,056$ | 5,185,056$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Timothy Ruhl | Kansas City Wranglers | D | 36 | 1988-03-21 | No | 225 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2024-07-23 | False | False | Pro & Farm | 3,509,544$ | 3,509,544$ | 3,509,544$ | No | 3,509,544$ | - | - | - | - | - | - | - | - | 3,509,544$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
Trey Syme | Kansas City Wranglers | C | 25 | 1999-01-03 | No | 204 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-07-23 | False | False | Pro & Farm | 1,250,752$ | 1,250,752$ | 1,250,752$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 29.00 | 194 Lbs | 6 ft2 | 2.60 | 2,655,903$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
53,118,055$ | 45,199,645$ | 25,948,126$ | 12,609,869$ | 0$ |
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 | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
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, , , , , , , , , , |
Lignes de défense personnalisées en prolongation |
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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 |
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 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 5900 | 5000 | 2000 | 4000 | 644 |
Prix des billets | 110 | 60 | 35 | 31 | 200 |
Assistance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
42 | 0 - 0% | 0$ | 0$ | 17544 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 53,118,055$ | 53,118,055$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
323,891$ | 0$ | 0$ | 20 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 164 | 323,891$ | 53,118,124$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
54,789,684$ | 10,000,000$ | -44,789,684$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
53,118,124$ | 31,881,876$ | 85,000,000$ | 53,118,124$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
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Année | R1 | R2 | R3 | R4 | R5 |
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2025 | |||||
2026 | |||||
2027 | |||||
2028 | |||||
2029 | |||||
Choix au repêchage conditionnel |
# | 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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