 | Les Wolves de Chicago |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Nicolas Leclerc | Morale : 1 | Moyenne d’équipe : 60 |
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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 | Jack Drury | 0 | X | 100.00 | 57 | 37 | 78 | 63 | 67 | 84 | 87 | 61 | 86 | 60 | 60 | 65 | 63 | 64 | 65 | 74 | 53 | 61 | 0 | 23 | 1 | 925,000$ | ||||
| 2 | Brandon Baddock | 0 | X | 100.00 | 85 | 80 | 76 | 55 | 87 | 72 | 81 | 56 | 54 | 57 | 58 | 59 | 56 | 67 | 69 | 42 | 57 | 60 | 0 | 28 | 1 | 700,000$ | ||||
| 3 | Noel Gunler | 0 | X | 100.00 | 67 | 38 | 90 | 59 | 76 | 89 | 67 | 61 | 62 | 59 | 60 | 58 | 60 | 62 | 64 | 74 | 55 | 60 | 0 | 21 | 2 | 862,500$ | ||||
| 4 | Jamieson Rees (R) | 0 | X | 100.00 | 58 | 41 | 71 | 61 | 67 | 85 | 83 | 59 | 70 | 63 | 58 | 55 | 56 | 62 | 64 | 74 | 56 | 59 | 0 | 22 | 1 | 839,167$ | ||||
| 5 | Ryan Suzuki | 0 | X | 100.00 | 61 | 37 | 86 | 61 | 70 | 74 | 75 | 60 | 67 | 61 | 59 | 57 | 60 | 62 | 64 | 80 | 56 | 59 | 0 | 22 | 1 | 863,333$ | ||||
| 6 | Blake Murray (R) | 0 | X | X | 100.00 | 69 | 38 | 94 | 57 | 78 | 67 | 62 | 56 | 65 | 58 | 55 | 57 | 56 | 62 | 64 | 49 | 56 | 57 | 0 | 22 | 1 | 791,667$ | |||
| 7 | Tuukka Tieksola (R) | 0 | X | 100.00 | 60 | 36 | 89 | 62 | 60 | 67 | 69 | 58 | 62 | 60 | 57 | 53 | 58 | 62 | 64 | 59 | 56 | 57 | 0 | 22 | 1 | 823,333$ | ||||
| 8 | Brennan Saulnier | 0 | X | 100.00 | 59 | 47 | 60 | 57 | 68 | 67 | 73 | 56 | 64 | 57 | 58 | 54 | 57 | 70 | 72 | 35 | 56 | 57 | 0 | 29 | 1 | 700,000$ | ||||
| 9 | Brett McKenzie | 0 | X | X | 100.00 | 68 | 39 | 89 | 57 | 78 | 65 | 72 | 56 | 53 | 55 | 54 | 58 | 54 | 65 | 67 | 55 | 55 | 57 | 0 | 26 | 1 | 700,000$ | |||
| 10 | Blade Jenkins | 0 | X | X | 100.00 | 67 | 37 | 95 | 54 | 76 | 66 | 74 | 53 | 56 | 52 | 54 | 55 | 59 | 63 | 65 | 56 | 42 | 56 | 0 | 23 | 1 | 700,000$ | |||
| 11 | Bryce Misley | 0 | X | X | 100.00 | 65 | 41 | 73 | 51 | 74 | 63 | 60 | 53 | 50 | 52 | 57 | 55 | 54 | 63 | 65 | 59 | 49 | 54 | 0 | 24 | 1 | 700,000$ | |||
| 12 | Caleb Jones | 0 | X | 100.00 | 74 | 35 | 85 | 68 | 76 | 89 | 83 | 65 | 30 | 72 | 62 | 64 | 53 | 67 | 69 | 57 | 56 | 66 | 0 | 26 | 1 | 775,000$ | ||||
| 13 | Dylan Coghlan | 0 | X | 100.00 | 71 | 40 | 91 | 67 | 82 | 81 | 75 | 66 | 30 | 69 | 64 | 65 | 52 | 65 | 67 | 42 | 44 | 65 | 0 | 25 | 1 | 850,000$ | ||||
| 14 | Christian Jaros | 0 | X | 100.00 | 76 | 72 | 87 | 59 | 88 | 78 | 71 | 58 | 30 | 60 | 56 | 61 | 48 | 65 | 66 | 54 | 44 | 62 | 0 | 27 | 1 | 700,000$ | ||||
| 15 | Tyler Kleven | 0 | X | 100.00 | 64 | 37 | 80 | 61 | 86 | 85 | 60 | 59 | 30 | 68 | 50 | 56 | 46 | 60 | 61 | 74 | 57 | 60 | 0 | 21 | 2 | 916,667$ | ||||
| 16 | Anttoni Honka (R) | 0 | X | 100.00 | 57 | 37 | 90 | 59 | 66 | 70 | 72 | 58 | 30 | 63 | 54 | 55 | 47 | 63 | 65 | 64 | 55 | 58 | 0 | 22 | 2 | 836,667$ | ||||
| 17 | Clifford Watson | 0 | X | 100.00 | 69 | 39 | 84 | 58 | 78 | 66 | 61 | 57 | 30 | 56 | 50 | 55 | 45 | 69 | 71 | 58 | 39 | 58 | 0 | 29 | 1 | 700,000$ | ||||
| 18 | Ronan Seeley (R) | 0 | X | 100.00 | 61 | 36 | 95 | 56 | 70 | 68 | 72 | 55 | 30 | 59 | 53 | 54 | 46 | 61 | 63 | 49 | 35 | 57 | 0 | 21 | 2 | 810,000$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Alexander Pashin (R) | 0 | X | 100.00 | 59 | 35 | 92 | 54 | 60 | 75 | 68 | 53 | 57 | 54 | 55 | 51 | 54 | 61 | 63 | 49 | 19 | 54 | 0 | 21 | 2 | 826,667$ | ||||
| 2 | Ville Koivunen (R) | 0 | X | X | X | 100.00 | 56 | 36 | 94 | 51 | 65 | 77 | 60 | 50 | 57 | 51 | 50 | 52 | 50 | 60 | 62 | 73 | 19 | 52 | 0 | 20 | 3 | 805,833$ | ||
| 3 | Chaz Reddekopp | 0 | X | 100.00 | 78 | 73 | 69 | 55 | 87 | 62 | 63 | 54 | 30 | 53 | 50 | 56 | 45 | 65 | 67 | 55 | 20 | 58 | 0 | 26 | 1 | 700,000$ | ||||
| 4 | Christian Kasastul | 0 | X | 100.00 | 61 | 38 | 85 | 57 | 70 | 63 | 62 | 58 | 30 | 59 | 53 | 56 | 45 | 65 | 67 | 53 | 20 | 57 | 0 | 26 | 1 | 700,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 66 | 43 | 84 | 58 | 74 | 73 | 70 | 57 | 49 | 59 | 56 | 57 | 53 | 64 | 66 | 58 | 45 | 58 | |||||||||||
| 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 | Pyotr Kochetkov | 0 | 100.00 | 83 | 82 | 83 | 84 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 64 | 71 | 74 | 39 | 78 | 0 | 24 | 2 | 2,000,000$ | |
| 2 | David Hrenak | 0 | 100.00 | 75 | 65 | 66 | 79 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 54 | 57 | 71 | 0 | 25 | 1 | 700,000$ | |
| Rayé | ||||||||||||||||||||||||
| 1 | Colton Point | 0 | 100.00 | 63 | 68 | 69 | 93 | 62 | 61 | 63 | 62 | 61 | 63 | 62 | 64 | 71 | 56 | 29 | 65 | 0 | 25 | 1 | 700,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 74 | 72 | 73 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 64 | 71 | 61 | 42 | 71 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ulf Samuelsson | 69 | 73 | 78 | 62 | 87 | 81 | 60 | SWE | 58 | 2 | 800,000$ |
| 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 | 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 | Salaire moyen | Salaire moyen restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Pashin | Les Wolves de Chicago (CAR) | RW | 21 | 2002-07-28 10:22:51 | Yes | 173 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 826,667$ | 177,143$ | 750,000$ | 160,714$ | 0$ | 0$ | No | 826,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Anttoni Honka | Les Wolves de Chicago (CAR) | D | 22 | 2000-10-05 10:26:10 | Yes | 180 Lbs | 6 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 836,667$ | 179,286$ | 750,000$ | 160,714$ | 0$ | 0$ | No | 836,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Blade Jenkins | Les Wolves de Chicago (CAR) | C/LW | 23 | 2000-08-11 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Blake Murray | Les Wolves de Chicago (CAR) | C/LW | 22 | 2001-07-05 10:28:58 | Yes | 188 Lbs | 7 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 791,667$ | 169,643$ | 750,000$ | 160,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Brandon Baddock | Les Wolves de Chicago (CAR) | LW | 28 | 1995-03-29 | No | 218 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Brennan Saulnier | Les Wolves de Chicago (CAR) | C | 29 | 1993-12-29 | No | 170 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Brett McKenzie | Les Wolves de Chicago (CAR) | LW/RW | 26 | 1997-03-12 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Bryce Misley | Les Wolves de Chicago (CAR) | LW/RW | 24 | 1999-09-05 | No | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Caleb Jones | Les Wolves de Chicago (CAR) | D | 26 | 1997-06-06 | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
| Chaz Reddekopp | Les Wolves de Chicago (CAR) | D | 26 | 1997-01-01 | No | 219 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Christian Jaros | Les Wolves de Chicago (CAR) | D | 27 | 1996-04-02 | No | 222 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Christian Kasastul | Les Wolves de Chicago (CAR) | D | 26 | 1997-04-09 | No | 198 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Clifford Watson | Les Wolves de Chicago (CAR) | D | 29 | 1993-12-21 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Colton Point | Les Wolves de Chicago (CAR) | G | 25 | 1998-03-04 | No | 235 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| David Hrenak | Les Wolves de Chicago (CAR) | G | 25 | 1998-05-05 | No | 192 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Dylan Coghlan | Les Wolves de Chicago (CAR) | D | 25 | 1998-02-19 | No | 208 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 182,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
| Jack Drury | Les Wolves de Chicago (CAR) | C | 23 | 2000-02-03 | No | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 198,214$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Jamieson Rees | Les Wolves de Chicago (CAR) | C | 22 | 2001-02-26 10:03:32 | Yes | 180 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 839,167$ | 179,822$ | 750,000$ | 160,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Noel Gunler | Les Wolves de Chicago (CAR) | RW | 21 | 2001-10-07 | No | 176 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 862,500$ | 184,821$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 862,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Pyotr Kochetkov | Les Wolves de Chicago (CAR) | G | 24 | 1999-06-25 | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,000,000$ | 428,571$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Ronan Seeley | Les Wolves de Chicago (CAR) | D | 21 | 2002-08-02 10:31:57 | Yes | 185 Lbs | 7 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 810,000$ | 173,571$ | 750,000$ | 160,714$ | 0$ | 0$ | No | 810,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Ryan Suzuki | Les Wolves de Chicago (CAR) | C | 22 | 2001-05-28 | No | 176 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 863,333$ | 185,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Tuukka Tieksola | Les Wolves de Chicago (CAR) | RW | 22 | 2001-06-22 10:34:27 | Yes | 180 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 823,333$ | 176,428$ | 750,000$ | 160,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Tyler Kleven | Les Wolves de Chicago (CAR) | D | 21 | 2002-01-10 16:42:13 | No | 193 Lbs | 7 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 916,667$ | 196,429$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 916,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Ville Koivunen | Les Wolves de Chicago (CAR) | C/LW/RW | 20 | 2003-06-13 10:37:32 | Yes | 183 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 805,833$ | 172,678$ | 750,000$ | 160,714$ | 0$ | 0$ | No | 805,833$ | 805,833$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 25 | 24.00 | 192 Lbs | 6 ft4 | 1.32 | 825,033$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brandon Baddock | Noel Gunler | Blade Jenkins | 40 | 1 | 2 | 2 |
| 2 | Brett McKenzie | Jamieson Rees | Tuukka Tieksola | 30 | 1 | 2 | 2 |
| 3 | Blake Murray | Ryan Suzuki | Jack Drury | 20 | 1 | 2 | 2 |
| 4 | Jamieson Rees | Jack Drury | Ryan Suzuki | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Caleb Jones | Dylan Coghlan | 40 | 1 | 2 | 2 | |
| 2 | Christian Jaros | Tyler Kleven | 30 | 1 | 2 | 2 | |
| 3 | Anttoni Honka | Clifford Watson | 20 | 1 | 2 | 2 | |
| 4 | Ronan Seeley | Caleb Jones | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brandon Baddock | Ryan Suzuki | Jack Drury | 60 | 1 | 2 | 2 |
| 2 | Brett McKenzie | Jamieson Rees | Tuukka Tieksola | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Caleb Jones | Dylan Coghlan | 60 | 1 | 2 | 2 | |
| 2 | Christian Jaros | Tyler Kleven | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ryan Suzuki | Tuukka Tieksola | 60 | 1 | 2 | 2 |
| 2 | Jamieson Rees | Brett McKenzie | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Caleb Jones | Dylan Coghlan | 60 | 1 | 2 | 2 |
| 2 | Christian Jaros | Tyler Kleven | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Brett McKenzie | 60 | 1 | 2 | 2 | Caleb Jones | Dylan Coghlan | 60 | 1 | 2 | 2 |
| 2 | Jamieson Rees | 40 | 1 | 2 | 2 | Christian Jaros | Tyler Kleven | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ryan Suzuki | Brandon Baddock | 60 | 1 | 2 | 2 |
| 2 | Jamieson Rees | Brett McKenzie | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Caleb Jones | Dylan Coghlan | 60 | 1 | 2 | 2 |
| 2 | Christian Jaros | Tyler Kleven | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brandon Baddock | Jack Drury | Jamieson Rees | Caleb Jones | Dylan Coghlan |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brandon Baddock | Jack Drury | Jamieson Rees | Caleb Jones | Dylan Coghlan |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Ryan Suzuki, Brett McKenzie, Tuukka Tieksola | Ryan Suzuki, Brett McKenzie | Ryan Suzuki |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Anttoni Honka, Caleb Jones, Ronan Seeley | Anttoni Honka | Anttoni Honka, Caleb Jones |
| Tirs de pénalité |
|---|
| Brett McKenzie, Brandon Baddock, Tuukka Tieksola, Jamieson Rees, Ryan Suzuki |
| Gardien |
|---|
| #1 : , #2 : Pyotr Kochetkov |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Brandon Baddock, Noel Gunler, Jack Drury, Jamieson Rees, Ryan Suzuki, Brett McKenzie, Brett McKenzie, Tuukka Tieksola, Blake Murray, Bryce Misley, Blade Jenkins |
| Lignes de défense personnalisées en prolongation |
|---|
| Caleb Jones, Dylan Coghlan, Christian Jaros, Tyler Kleven, Anttoni Honka |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 |
| 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% | 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 |
| 5 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 2,062,584$ | 1,645,000$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 6 | 0$ | 0$ |
| # | 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 |
|---|
| Total | 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 |
| # | 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 |
|---|
Adirondack Phantoms
Barracuda
Belleville
Bridgeport Sound Tigers
Comets
Crunch de Syracuse
Gulls
Harford Wolf Pack
Hershey Bears
Monsters
Moose
Providence Bruins
Reign
Tuckson Roadrunners
Wilkes-Barre/Scranton Penguins
Canucks d'abbotsford
Checkers 
Coachella Valley Firebirds
Condors
Eagles 
Grand Rapids Griffins
Iowa 
Milwaukee Admirals
Rochester Americans
Rocket 
Rockford IceHogs
Texas Stars
Thunderbirds
Toronto Marlies
Wranglers
