 | Monsters |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Mathieu Haman | Morale : 14 | Moyenne d’équipe : 62 |
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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 | Justin Danforth | 0 | X | X | 100.00 | 66 | 35 | 86 | 67 | 64 | 81 | 82 | 65 | 71 | 63 | 68 | 66 | 63 | 69 | 70 | 36 | 57 | 64 | X | 0 | 30 | 1 | 975,000$ | ||
| 2 | Liam Foudy | 0 | X | X | 100.00 | 64 | 36 | 95 | 72 | 78 | 80 | 77 | 67 | 63 | 61 | 62 | 69 | 65 | 62 | 63 | 82 | 64 | 64 | X | 0 | 23 | 1 | 762,500$ | ||
| 3 | Brendan Perlini | 0 | X | X | 100.00 | 77 | 41 | 82 | 65 | 86 | 85 | 72 | 64 | 59 | 58 | 66 | 62 | 65 | 67 | 69 | 72 | 44 | 63 | X | 0 | 27 | 1 | 700,000$ | ||
| 4 | Carson Meyer | 0 | X | 100.00 | 71 | 39 | 73 | 66 | 69 | 83 | 82 | 63 | 66 | 67 | 59 | 62 | 65 | 67 | 66 | 47 | 65 | 63 | 0 | 26 | 1 | 775,000$ | ||||
| 5 | Josh Dunne | 0 | X | 100.00 | 79 | 43 | 69 | 58 | 89 | 86 | 79 | 59 | 71 | 58 | 59 | 63 | 57 | 65 | 67 | 42 | 73 | 62 | X | 0 | 24 | 1 | 775,000$ | |||
| 6 | Tyler Angle | 0 | X | X | 100.00 | 57 | 36 | 86 | 65 | 64 | 80 | 86 | 63 | 61 | 58 | 62 | 59 | 66 | 63 | 65 | 49 | 76 | 61 | X | 0 | 22 | 1 | 850,833$ | ||
| 7 | Mikael Pyyhtia | 0 | X | X | 100.00 | 55 | 34 | 65 | 64 | 68 | 85 | 60 | 67 | 62 | 72 | 50 | 56 | 59 | 61 | 62 | 60 | 66 | 60 | 0 | 21 | 2 | 897,500$ | |||
| 8 | Christopher Wilkie | 0 | X | X | X | 100.00 | 63 | 38 | 82 | 59 | 72 | 78 | 69 | 58 | 52 | 60 | 57 | 56 | 59 | 66 | 68 | 45 | 76 | 58 | X | 0 | 27 | 1 | 700,000$ | |
| 9 | Hunter McKown | 0 | X | 100.00 | 62 | 36 | 79 | 62 | 78 | 80 | 61 | 59 | 73 | 60 | 50 | 58 | 55 | 60 | 61 | 43 | 76 | 58 | 0 | 21 | 1 | 950,000$ | ||||
| 10 | Evan Weinger | 0 | X | X | 100.00 | 61 | 38 | 86 | 56 | 73 | 77 | 86 | 52 | 53 | 56 | 57 | 54 | 56 | 65 | 67 | 55 | 68 | 57 | X | 0 | 26 | 1 | 700,000$ | ||
| 11 | Christopher Brown | 0 | X | X | 100.00 | 61 | 37 | 93 | 52 | 70 | 76 | 65 | 53 | 58 | 54 | 55 | 52 | 56 | 66 | 68 | 54 | 55 | 55 | X | 0 | 27 | 1 | 700,000$ | ||
| 12 | Marcus Bjork | 0 | X | 100.00 | 77 | 40 | 75 | 65 | 89 | 84 | 74 | 66 | 30 | 67 | 61 | 62 | 52 | 66 | 68 | 42 | 77 | 66 | 0 | 25 | 1 | 775,000$ | ||||
| 13 | David Jiricek (R) (A) | 0 | X | 100.00 | 77 | 40 | 80 | 65 | 86 | 85 | 70 | 63 | 30 | 64 | 58 | 66 | 49 | 60 | 62 | 90 | 57 | 65 | 0 | 19 | 3 | 918,333$ | ||||
| 14 | Billy Sweezey | 0 | X | 100.00 | 83 | 42 | 64 | 61 | 79 | 83 | 85 | 60 | 30 | 62 | 58 | 63 | 49 | 67 | 69 | 37 | 43 | 64 | X | 0 | 27 | 1 | 762,500$ | |||
| 15 | Tim Berni | 0 | X | 100.00 | 73 | 38 | 81 | 64 | 73 | 84 | 88 | 63 | 30 | 60 | 52 | 65 | 50 | 63 | 65 | 49 | 65 | 64 | X | 0 | 23 | 1 | 700,000$ | |||
| 16 | Jake Christiansen (A) | 0 | X | 100.00 | 63 | 40 | 80 | 61 | 73 | 88 | 87 | 63 | 30 | 64 | 59 | 62 | 50 | 64 | 66 | 43 | 76 | 63 | 0 | 24 | 1 | 775,000$ | ||||
| 17 | Samuel Knazko | 0 | X | 100.00 | 65 | 37 | 90 | 59 | 77 | 81 | 69 | 60 | 30 | 61 | 58 | 62 | 49 | 61 | 63 | 65 | 54 | 61 | 0 | 21 | 2 | 847,500$ | ||||
| 18 | Stanislav Svozil | 0 | X | 100.00 | 56 | 34 | 65 | 67 | 71 | 85 | 60 | 65 | 30 | 74 | 50 | 55 | 48 | 59 | 60 | 68 | 68 | 60 | 0 | 20 | 3 | 825,000$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Trey Fix-Wolansky (C) | 0 | X | 100.00 | 62 | 37 | 75 | 67 | 66 | 89 | 84 | 66 | 62 | 65 | 67 | 61 | 68 | 64 | 66 | 48 | 73 | 64 | 0 | 24 | 1 | 775,000$ | ||||
| 2 | Cole McWard | 0 | X | 100.00 | 62 | 35 | 83 | 61 | 76 | 85 | 60 | 64 | 30 | 50 | 69 | 56 | 61 | 61 | 62 | 44 | 28 | 59 | 0 | 22 | 1 | 922,500$ | ||||
| 3 | Corson Ceulemans (R) | 0 | X | 100.00 | 71 | 40 | 84 | 55 | 80 | 65 | 61 | 52 | 30 | 53 | 54 | 56 | 45 | 60 | 62 | 83 | 27 | 57 | 0 | 20 | 3 | 925,000$ | ||||
| 4 | Dawson Barteaux | 0 | X | 100.00 | 65 | 38 | 92 | 53 | 74 | 62 | 66 | 55 | 30 | 53 | 52 | 54 | 45 | 62 | 64 | 52 | 20 | 56 | 0 | 23 | 1 | 700,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 67 | 38 | 80 | 62 | 75 | 81 | 74 | 61 | 48 | 61 | 58 | 60 | 56 | 64 | 65 | 55 | 59 | 61 | |||||||||||
| 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 | Dereck Baribeau | 0 | 100.00 | 69 | 70 | 69 | 96 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 63 | 69 | 44 | 66 | 70 | X | 0 | 24 | 1 | 700,000$ |
| 2 | Jet Greaves | 0 | 100.00 | 74 | 67 | 68 | 71 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 62 | 67 | 58 | 70 | 70 | 0 | 22 | 1 | 758,333$ | |
| Rayé | ||||||||||||||||||||||||
| 1 | Dillon Kelley | 0 | 100.00 | 61 | 65 | 66 | 93 | 60 | 59 | 61 | 60 | 59 | 61 | 60 | 68 | 76 | 36 | 60 | 64 | X | 0 | 29 | 1 | 700,000$ |
| MOYENNE D’ÉQUIPE | 100.00 | 68 | 67 | 68 | 87 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 64 | 71 | 46 | 65 | 68 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Trent Vogelhuber | 67 | 71 | 76 | 67 | 63 | 62 | 88 | Usa | 35 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Billy Sweezey | Monsters (CBJ) | D | 27 | 1996-02-06 | No | 205 Lbs | 6 ft2 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 762,500$ | 163,393$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Brendan Perlini | Monsters (CBJ) | C/LW | 27 | 1996-04-27 | No | 211 Lbs | 6 ft3 | No | Yes | Assign Manually | No | No | 1 | 2023-12-27 | False | False | Farm Only | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
| Carson Meyer | Monsters (CBJ) | RW | 26 | 1997-08-18 | No | 184 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Christopher Brown | Monsters (CBJ) | LW/RW | 27 | 1996-02-22 | No | 179 Lbs | 6 ft0 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Christopher Wilkie | Monsters (CBJ) | C/LW/RW | 27 | 1996-07-10 | No | 190 Lbs | 6 ft0 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Cole McWard | Monsters (CBJ) | D | 22 | 2001-06-09 10:54:28 | No | 185 Lbs | 7 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 922,500$ | 197,679$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Corson Ceulemans | Monsters (CBJ) | D | 20 | 2003-05-05 15:33:21 | Yes | 188 Lbs | 7 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 925,000$ | 198,214$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| David Jiricek | Monsters (CBJ) | D | 19 | 2003-11-28 16:47:46 | Yes | 191 Lbs | 5 ft5 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 918,333$ | 196,786$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 918,333$ | 918,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Dawson Barteaux | Monsters (CBJ) | D | 23 | 2000-01-12 | 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 | ||
| Dereck Baribeau | Monsters (CBJ) | G | 24 | 1999-01-22 | No | 218 Lbs | 6 ft6 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Dillon Kelley | Monsters (CBJ) | G | 29 | 1994-09-02 | No | 216 Lbs | 6 ft5 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Evan Weinger | Monsters (CBJ) | C/RW | 26 | 1997-04-18 | No | 193 Lbs | 6 ft0 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Hunter McKown | Monsters (CBJ) | C | 21 | 2002-08-18 16:29:46 | No | 185 Lbs | 7 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 203,571$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Jake Christiansen | Monsters (CBJ) | D | 24 | 1999-09-12 | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Jet Greaves | Monsters (CBJ) | G | 22 | 2001-03-30 | No | 170 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 758,333$ | 162,500$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Josh Dunne | Monsters (CBJ) | C | 24 | 1998-12-08 | No | 210 Lbs | 6 ft4 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Justin Danforth | Monsters (CBJ) | C/RW | 30 | 1993-03-15 | No | 180 Lbs | 5 ft9 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 975,000$ | 208,929$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
| Liam Foudy | Monsters (CBJ) | C/RW | 23 | 2000-02-04 | No | 187 Lbs | 6 ft2 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 762,500$ | 163,393$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
| Marcus Bjork | Monsters (CBJ) | D | 25 | 1997-11-24 17:02:14 | No | 191 Lbs | 7 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Mikael Pyyhtia | Monsters (CBJ) | C/LW | 21 | 2001-12-17 16:33:28 | No | 182 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 897,500$ | 192,321$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 897,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Samuel Knazko | Monsters (CBJ) | D | 21 | 2002-08-07 16:55:14 | No | 186 Lbs | 7 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 847,500$ | 181,607$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 847,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Stanislav Svozil | Monsters (CBJ) | D | 20 | 2003-01-17 16:57:54 | No | 183 Lbs | 6 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 825,000$ | 176,786$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 825,000$ | 825,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Tim Berni | Monsters (CBJ) | D | 23 | 2000-02-11 | No | 181 Lbs | 6 ft0 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
| Trey Fix-Wolansky | Monsters (CBJ) | RW | 24 | 1999-05-26 | No | 186 Lbs | 5 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Tyler Angle | Monsters (CBJ) | C/LW | 22 | 2000-09-30 | No | 172 Lbs | 5 ft11 | No | Yes | N/A | No | No | 1 | False | False | Pro & Farm | 850,833$ | 182,321$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 25 | 23.88 | 190 Lbs | 6 ft4 | 1.32 | 794,800$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brendan Perlini | Liam Foudy | Justin Danforth | 40 | 1 | 2 | 2 |
| 2 | Tyler Angle | Josh Dunne | Carson Meyer | 30 | 1 | 2 | 2 |
| 3 | Christopher Wilkie | Mikael Pyyhtia | Evan Weinger | 20 | 1 | 2 | 2 |
| 4 | Justin Danforth | Hunter McKown | Liam Foudy | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Marcus Bjork | David Jiricek | 40 | 1 | 2 | 2 | |
| 2 | Tim Berni | Billy Sweezey | 30 | 1 | 2 | 2 | |
| 3 | Jake Christiansen | Samuel Knazko | 20 | 1 | 2 | 2 | |
| 4 | Stanislav Svozil | Marcus Bjork | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brendan Perlini | Liam Foudy | Mikael Pyyhtia | 60 | 1 | 2 | 2 |
| 2 | Tyler Angle | Josh Dunne | Carson Meyer | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Marcus Bjork | David Jiricek | 60 | 1 | 2 | 2 | |
| 2 | Tim Berni | Billy Sweezey | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Mikael Pyyhtia | Josh Dunne | 60 | 1 | 2 | 2 |
| 2 | Carson Meyer | Brendan Perlini | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Marcus Bjork | David Jiricek | 60 | 1 | 2 | 2 |
| 2 | Tim Berni | Billy Sweezey | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Brendan Perlini | 60 | 1 | 2 | 2 | Marcus Bjork | David Jiricek | 60 | 1 | 2 | 2 |
| 2 | Carson Meyer | 40 | 1 | 2 | 2 | Tim Berni | Billy Sweezey | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Josh Dunne | Justin Danforth | 60 | 1 | 2 | 2 |
| 2 | Carson Meyer | Brendan Perlini | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Marcus Bjork | David Jiricek | 60 | 1 | 2 | 2 |
| 2 | Tim Berni | Billy Sweezey | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brendan Perlini | Liam Foudy | Justin Danforth | Marcus Bjork | David Jiricek |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brendan Perlini | Liam Foudy | Justin Danforth | Marcus Bjork | David Jiricek |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Mikael Pyyhtia, Christopher Wilkie, Hunter McKown | Mikael Pyyhtia, Christopher Wilkie | Hunter McKown |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jake Christiansen, Samuel Knazko, Stanislav Svozil | Jake Christiansen | Samuel Knazko, Stanislav Svozil |
| Tirs de pénalité |
|---|
| Mikael Pyyhtia, Justin Danforth, Carson Meyer, Brendan Perlini, Josh Dunne |
| Gardien |
|---|
| #1 : Dereck Baribeau, #2 : Jet Greaves |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Liam Foudy, Justin Danforth, Carson Meyer, Brendan Perlini, Josh Dunne, Tyler Angle, Tyler Angle, Mikael Pyyhtia, Christopher Wilkie, Hunter McKown, Evan Weinger |
| Lignes de défense personnalisées en prolongation |
|---|
| Marcus Bjork, David Jiricek, Tim Berni, Billy Sweezey, Jake Christiansen |
| 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$ | 1,986,999$ | 1,540,000$ | 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
Chicago Wolves
Comets
Crunch de Syracuse
Gulls
Harford Wolf Pack
Hershey Bears
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
