 | Wolves |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Julie Coulombe | Morale : 40 | Moyenne d'Équipe : 64 |
| 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 | Alexandre Grenier (R) | X | 100.00 | 71 | 33 | 75 | 73 | 82 | 82 | 76 | 73 | 72 | 76 | 70 | 73 | 70 | 72 | 63 | 40 | 40 | 72 | 0 | 25 | 1 | 995,000$ | ||||
| 2 | Martin Hanzal | X | 100.00 | 68 | 42 | 63 | 74 | 66 | 82 | 74 | 76 | 71 | 75 | 76 | 69 | 68 | 76 | 66 | 23 | 40 | 72 | 0 | 29 | 1 | 975,000$ | ||||
| 3 | Max Friberg (R) | X | 100.00 | 65 | 31 | 79 | 74 | 73 | 76 | 75 | 73 | 74 | 78 | 71 | 75 | 66 | 61 | 56 | 41 | 40 | 72 | 0 | 24 | 1 | 850,000$ | ||||
| 4 | Shawn Matthias | X | 100.00 | 85 | 37 | 80 | 71 | 80 | 76 | 76 | 69 | 70 | 71 | 75 | 70 | 71 | 72 | 57 | 25 | 40 | 72 | 0 | 28 | 1 | 850,000$ | ||||
| 5 | Kyle Rau (R) | X | 100.00 | 68 | 21 | 84 | 71 | 67 | 83 | 75 | 74 | 76 | 75 | 71 | 71 | 67 | 60 | 56 | 40 | 40 | 71 | 0 | 24 | 1 | 800,000$ | ||||
| 6 | Vladimir Zharkov | X | 100.00 | 69 | 34 | 74 | 72 | 73 | 77 | 74 | 74 | 75 | 79 | 73 | 65 | 66 | 64 | 54 | 26 | 40 | 71 | 0 | 28 | 1 | 975,000$ | ||||
| 7 | Sebastian Aho (R) | X | 100.00 | 56 | 33 | 81 | 80 | 60 | 74 | 60 | 78 | 70 | 69 | 73 | 58 | 89 | 48 | 43 | 73 | 40 | 68 | 0 | 19 | 1 | 500,000$ | ||||
| 8 | Lawson Crouse (R) | X | 100.00 | 81 | 44 | 71 | 69 | 74 | 57 | 83 | 74 | 55 | 68 | 73 | 67 | 52 | 50 | 42 | 76 | 40 | 67 | 0 | 19 | 1 | 500,000$ | ||||
| 9 | Thomas Spelling (R) | X | 100.00 | 61 | 31 | 76 | 77 | 67 | 68 | 69 | 78 | 57 | 62 | 68 | 54 | 70 | 49 | 46 | 36 | 40 | 65 | 0 | 23 | 2 | 500,000$ | ||||
| 10 | Victor Olofsson (R) | X | 100.00 | 55 | 28 | 79 | 72 | 72 | 73 | 68 | 73 | 65 | 59 | 74 | 57 | 71 | 45 | 43 | 65 | 40 | 65 | 0 | 20 | 2 | 600,000$ | ||||
| 11 | Eric Robinson (R) | X | 100.00 | 54 | 30 | 73 | 70 | 63 | 66 | 66 | 64 | 59 | 58 | 74 | 44 | 65 | 47 | 47 | 55 | 40 | 61 | 0 | 21 | 1 | 500,000$ | ||||
| 12 | Matthew Highmore (R) | X | 100.00 | 68 | 21 | 78 | 56 | 66 | 66 | 68 | 66 | 70 | 69 | 65 | 43 | 65 | 43 | 43 | 58 | 40 | 61 | 0 | 20 | 1 | 500,000$ | ||||
| 13 | Adam Brooks (R) | X | 100.00 | 65 | 35 | 69 | 48 | 75 | 56 | 58 | 63 | 65 | 70 | 76 | 40 | 63 | 42 | 43 | 65 | 40 | 61 | 0 | 20 | 2 | 500,000$ | ||||
| 14 | Michael Stone (R) | X | 100.00 | 70 | 36 | 81 | 76 | 79 | 76 | 68 | 73 | 58 | 69 | 64 | 71 | 65 | 65 | 48 | 34 | 40 | 71 | 0 | 26 | 1 | 975,000$ | ||||
| 15 | Jeffrey Foss | X | 100.00 | 73 | 32 | 75 | 74 | 72 | 66 | 71 | 73 | 64 | 71 | 64 | 71 | 62 | 72 | 66 | 25 | 40 | 70 | 0 | 28 | 1 | 800,000$ | ||||
| 16 | Joe Morrow (R) | X | 100.00 | 67 | 25 | 74 | 79 | 66 | 68 | 75 | 78 | 47 | 79 | 65 | 71 | 55 | 63 | 55 | 41 | 40 | 70 | 0 | 24 | 1 | 600,000$ | ||||
| 17 | Anton Lindholm (R) | X | 100.00 | 69 | 30 | 82 | 65 | 66 | 64 | 70 | 68 | 47 | 66 | 55 | 86 | 52 | 49 | 46 | 53 | 40 | 69 | 0 | 21 | 1 | 650,000$ | ||||
| 18 | Jeff Petry | X | 100.00 | 72 | 43 | 77 | 74 | 72 | 65 | 70 | 63 | 51 | 67 | 59 | 68 | 65 | 63 | 60 | 24 | 40 | 68 | 0 | 29 | 2 | 900,000$ | ||||
| 19 | Jakub Zboril (R) | X | 100.00 | 66 | 41 | 77 | 69 | 67 | 64 | 66 | 65 | 42 | 68 | 60 | 68 | 52 | 43 | 42 | 70 | 40 | 65 | 0 | 19 | 1 | 500,000$ | ||||
| 20 | Jalen Chatfield (R) | X | 100.00 | 79 | 51 | 64 | 61 | 85 | 73 | 51 | 51 | 30 | 64 | 50 | 65 | 41 | 44 | 44 | 71 | 40 | 65 | 0 | 20 | 2 | 500,000$ | ||||
| 21 | Samuel Girard (R) | X | 100.00 | 49 | 27 | 76 | 74 | 56 | 50 | 60 | 73 | 33 | 82 | 54 | 60 | 46 | 40 | 40 | 76 | 40 | 61 | 0 | 18 | 2 | 500,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Liam O'Brien (R) | X | 100.00 | 76 | 56 | 71 | 67 | 79 | 51 | 85 | 52 | 63 | 59 | 53 | 41 | 54 | 47 | 50 | 47 | 40 | 58 | 0 | 22 | 2 | 500,000$ | ||||
| 2 | Fredrik Olofsson (R) | X | 100.00 | 68 | 42 | 55 | 58 | 65 | 50 | 73 | 64 | 56 | 66 | 55 | 49 | 51 | 42 | 43 | 53 | 40 | 57 | 0 | 20 | 1 | 600,000$ | ||||
| 3 | Wade Allison (R) | X | 100.00 | 52 | 29 | 73 | 61 | 59 | 57 | 64 | 63 | 56 | 55 | 69 | 41 | 58 | 43 | 42 | 58 | 40 | 57 | 0 | 19 | 2 | 500,000$ | ||||
| 4 | Kevin Stenlund (R) | X | 100.00 | 61 | 31 | 57 | 53 | 70 | 54 | 60 | 60 | 57 | 61 | 55 | 48 | 49 | 44 | 42 | 51 | 40 | 55 | 0 | 20 | 1 | 500,000$ | ||||
| 5 | Kieffer Bellows (R) | X | 100.00 | 56 | 24 | 76 | 44 | 71 | 62 | 62 | 55 | 58 | 57 | 68 | 34 | 63 | 40 | 40 | 72 | 40 | 55 | 0 | 18 | 2 | 500,000$ | ||||
| 6 | Zachary Senyshyn (R) | X | 100.00 | 43 | 33 | 71 | 67 | 48 | 54 | 56 | 57 | 59 | 57 | 51 | 47 | 69 | 41 | 41 | 62 | 40 | 54 | 0 | 19 | 1 | 500,000$ | ||||
| 7 | Joona Koppanen (R) | X | 100.00 | 57 | 31 | 49 | 49 | 61 | 39 | 63 | 47 | 42 | 56 | 46 | 44 | 50 | 40 | 40 | 66 | 40 | 48 | 0 | 18 | 2 | 500,000$ | ||||
| 8 | Dylan Coghlan (R) | X | 100.00 | 50 | 29 | 81 | 51 | 56 | 58 | 64 | 49 | 33 | 60 | 44 | 64 | 39 | 40 | 40 | 79 | 40 | 56 | 0 | 18 | 2 | 500,000$ | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 65 | 34 | 73 | 67 | 69 | 65 | 68 | 66 | 58 | 67 | 64 | 59 | 60 | 52 | 48 | 52 | 40 | 64 | ||||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Laurent Brossoit | 100.00 | 82 | 72 | 73 | 79 | 78 | 71 | 72 | 83 | 73 | 73 | 87 | 57 | 54 | 45 | 40 | 74 | 0 | |
| 2 | Ebbe Siönäs | 100.00 | 48 | 72 | 56 | 61 | 56 | 60 | 66 | 73 | 76 | 68 | 58 | 46 | 44 | 50 | 40 | 63 | 0 | |
| Rayé | ||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 100.00 | 65 | 72 | 65 | 70 | 67 | 66 | 69 | 78 | 75 | 71 | 73 | 52 | 49 | 48 | 40 | 69 | |||
| Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ron Wilson | 83 | 81 | 64 | 66 | 55 | 71 | 49 | USA | 57 | 1 | 500,000$ |
| 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 | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap 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 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Brooks | Wolves (Veg) | C | 20 | 1996-01-01 | Yes | 181 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Alexandre Grenier | Wolves (Veg) | RW | 25 | 1991-01-01 | Yes | 200 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 995,000$ | 995,000$ | 0$ | 0$ | No | ||||||||||
| Anton Lindholm | Wolves (Veg) | D | 21 | 1995-01-01 | Yes | 191 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | ||||||||||
| Dylan Coghlan | Wolves (Veg) | D | 18 | 1998-01-01 | Yes | 190 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Ebbe Siönäs | Wolves (Veg) | G | 21 | 1995-01-01 | No | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Eric Robinson | Wolves (Veg) | LW | 21 | 1995-01-01 | Yes | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Fredrik Olofsson | Wolves (Veg) | LW | 20 | 1996-01-01 | Yes | 204 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Jakub Zboril | Wolves (Veg) | D | 19 | 1997-01-01 | Yes | 200 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Jalen Chatfield | Wolves (Veg) | D | 20 | 1996-01-01 | Yes | 187 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Jeff Petry | Wolves (Veg) | D | 29 | 1987-01-01 | No | 196 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | |||||||||
| Jeffrey Foss | Wolves (Veg) | D | 28 | 1988-01-01 | No | 205 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | ||||||||||
| Joe Morrow | Wolves (Veg) | D | 24 | 1992-01-01 | Yes | 199 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Joona Koppanen | Wolves (Veg) | C | 18 | 1998-01-01 | Yes | 205 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Kevin Stenlund | Wolves (Veg) | C | 20 | 1996-01-01 | Yes | 209 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Kieffer Bellows | Wolves (Veg) | LW | 18 | 1998-01-01 | Yes | 194 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Kyle Rau | Wolves (Veg) | C | 24 | 1992-01-01 | Yes | 178 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | ||||||||||
| Laurent Brossoit | Wolves (Veg) | G | 23 | 1993-01-01 | No | 202 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | ||||||||||
| Lawson Crouse | Wolves (Veg) | LW | 19 | 1997-01-01 | Yes | 220 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Liam O'Brien | Wolves (Veg) | C | 22 | 1994-01-01 | Yes | 214 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Martin Hanzal | Wolves (Veg) | C | 29 | 1987-01-01 | No | 226 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | ||||||||||
| Matthew Highmore | Wolves (Veg) | C | 20 | 1996-01-01 | Yes | 188 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Max Friberg | Wolves (Veg) | RW | 24 | 1992-01-01 | Yes | 200 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | ||||||||||
| Michael Stone | Wolves (Veg) | D | 26 | 1990-01-01 | Yes | 207 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | ||||||||||
| Samuel Girard | Wolves (Veg) | D | 18 | 1998-01-01 | Yes | 170 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Sebastian Aho | Wolves (Veg) | C | 19 | 1997-01-01 | Yes | 176 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Shawn Matthias | Wolves (Veg) | LW | 28 | 1988-01-01 | No | 216 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | ||||||||||
| Thomas Spelling | Wolves (Veg) | RW | 23 | 1993-01-01 | Yes | 176 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Victor Olofsson | Wolves (Veg) | RW | 20 | 1996-01-01 | Yes | 181 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 650,000$ | |||||||||
| Vladimir Zharkov | Wolves (Veg) | RW | 28 | 1988-01-01 | No | 205 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | ||||||||||
| Wade Allison | Wolves (Veg) | RW | 19 | 1997-01-01 | Yes | 205 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Zachary Senyshyn | Wolves (Veg) | RW | 19 | 1997-01-01 | Yes | 192 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 31 | 22.03 | 197 Lbs | 6 ft1 | 1.35 | 645,806$ |
| 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 : |
| 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 |
| Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
| 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 Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| Temps Avec la Rondelle | |||||
|---|---|---|---|---|---|
| En Zone Offensive | Contrôle en Zone Offensive | En Zone Défensive | Contrôle en Zone Défensive | En Zone Neutre | Contrôle en Zone Neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe Visiteuse | Score | Équipe Locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des Billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenus | |||||
|---|---|---|---|---|---|
| Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité | Popularité de l'Équipe | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
| 0$ | 2,002,000$ | 1,674,500$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 0$ | 0 | 0$ | 0$ |
| Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Admirals
Barracuda
Condors
Griffins
Heat
Icehogs
Marlies
Monsters
Moose
Phantoms
Reign
Rocket
Senators
Bears
Comets
Crunch
Devils
Eagles
Little Stars
Penguins
Punishers
Rampage
Sound Tigers
Thunderbirds
Wolfpack