 | Monsters |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Vincent Attic | Morale : 40 | Moyenne d’équipe : 63 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Carl Grundstrom (A) | X | X | 100.00 | 81 | 38 | 87 | 69 | 74 | 82 | 83 | 65 | 56 | 64 | 62 | 63 | 59 | 71 | 70 | 0 | 40 | 66 | 0 | 28 | 3 | 1,499,999$ | ||||
| 2 | Adam Edstrom | X | 100.00 | 77 | 53 | 90 | 67 | 99 | 74 | 76 | 63 | 55 | 60 | 61 | 64 | 62 | 65 | 68 | 0 | 40 | 65 | 0 | 25 | 1 | 925,000$ | |||||
| 3 | Jonathan Lekkerimaki | X | 100.00 | 61 | 35 | 95 | 66 | 67 | 87 | 77 | 68 | 55 | 59 | 67 | 58 | 66 | 62 | 64 | 0 | 40 | 64 | 0 | 22 | 2 | 925,000$ | |||||
| 4 | Carson Meyer | X | 100.00 | 60 | 39 | 83 | 64 | 69 | 84 | 75 | 63 | 59 | 62 | 61 | 60 | 63 | 69 | 71 | 0 | 40 | 63 | 0 | 29 | 3 | 1,499,999$ | |||||
| 5 | Brennan Othmann | X | 100.00 | 70 | 42 | 71 | 66 | 73 | 79 | 80 | 64 | 57 | 60 | 62 | 61 | 66 | 63 | 65 | 0 | 40 | 63 | 0 | 23 | 1 | 925,000$ | |||||
| 6 | Sam Lipkin | X | 100.00 | 70 | 40 | 82 | 57 | 79 | 70 | 78 | 56 | 53 | 54 | 55 | 58 | 56 | 63 | 65 | 0 | 40 | 60 | 0 | 23 | 2 | 925,000$ | |||||
| 7 | Michael Milne | X | 100.00 | 72 | 39 | 74 | 58 | 69 | 76 | 78 | 57 | 52 | 54 | 55 | 53 | 56 | 64 | 66 | 0 | 40 | 59 | 0 | 23 | 2 | 925,000$ | |||||
| 8 | Parker Wotherspoon | X | 100.00 | 76 | 54 | 85 | 66 | 75 | 90 | 85 | 63 | 30 | 75 | 55 | 80 | 49 | 69 | 70 | 0 | 40 | 67 | 0 | 29 | 3 | 1,499,999$ | |||||
| 9 | Matthew Robertson | X | 100.00 | 77 | 42 | 78 | 67 | 88 | 84 | 85 | 64 | 30 | 66 | 59 | 68 | 49 | 65 | 67 | 0 | 40 | 66 | 0 | 25 | 2 | 1,499,999$ | |||||
| 10 | Ville Ottavainen | X | 100.00 | 82 | 43 | 72 | 62 | 91 | 82 | 83 | 61 | 30 | 60 | 53 | 59 | 46 | 64 | 66 | 0 | 40 | 62 | 0 | 24 | 1 | 925,000$ | |||||
| 11 | Ville Heinola | X | 100.00 | 62 | 39 | 84 | 65 | 71 | 82 | 72 | 64 | 30 | 63 | 52 | 57 | 48 | 65 | 67 | 0 | 40 | 61 | 0 | 25 | 2 | 1,499,999$ | |||||
| 12 | Riley Stillman | X | 100.00 | 75 | 64 | 62 | 59 | 82 | 72 | 77 | 58 | 30 | 55 | 53 | 57 | 46 | 68 | 70 | 0 | 40 | 60 | 0 | 28 | 1 | 1,100,000$ | |||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Daniil But (R) | X | 100.00 | 76 | 42 | 79 | 67 | 90 | 87 | 86 | 68 | 61 | 64 | 66 | 63 | 62 | 61 | 65 | 0 | 40 | 66 | 0 | 21 | 3 | 925,000$ | |||||
| 2 | Gavin Hayes | X | 100.00 | 64 | 37 | 93 | 59 | 73 | 82 | 80 | 56 | 54 | 58 | 57 | 55 | 59 | 62 | 64 | 0 | 40 | 60 | 0 | 22 | 2 | 925,000$ | |||||
| 3 | Josh Davies | X | 100.00 | 60 | 42 | 59 | 54 | 69 | 66 | 65 | 53 | 50 | 51 | 52 | 55 | 53 | 62 | 64 | 0 | 40 | 56 | 0 | 22 | 2 | 1,499,999$ | |||||
| 4 | Albert Johansson | X | 100.00 | 69 | 35 | 90 | 66 | 73 | 86 | 87 | 64 | 30 | 67 | 57 | 70 | 51 | 65 | 67 | 0 | 40 | 65 | 0 | 25 | 0 | 0$ | |||||
| 5 | Harrison Brunicke | X | 100.00 | 71 | 42 | 73 | 67 | 84 | 83 | 63 | 65 | 30 | 60 | 61 | 64 | 53 | 60 | 62 | 0 | 40 | 63 | 0 | 20 | 2 | 925,000$ | |||||
| 6 | Tobias Bjornfot | X | 100.00 | 67 | 38 | 90 | 63 | 74 | 80 | 82 | 58 | 30 | 60 | 59 | 63 | 49 | 65 | 67 | 0 | 40 | 63 | 0 | 25 | 2 | 1,499,999$ | |||||
| 7 | Charlie Wright | X | 100.00 | 64 | 36 | 95 | 55 | 73 | 62 | 72 | 54 | 30 | 53 | 51 | 56 | 45 | 63 | 65 | 0 | 40 | 58 | 0 | 22 | 2 | 925,000$ | |||||
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 42 | 81 | 63 | 78 | 79 | 78 | 61 | 43 | 60 | 58 | 61 | 55 | 65 | 66 | 0 | 40 | 62 | |||||||||||
| 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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nikita Tolopilo | 100.00 | 76 | 86 | 82 | 98 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 66 | 75 | 0 | 40 | 67 | 0 | 26 | 3 | 1,499,999$ | ||
| Rayé | ||||||||||||||||||||||||
| 1 | Owen Flores (R) | 100.00 | 72 | 71 | 68 | 76 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 62 | 67 | 0 | 40 | 65 | 0 | 22 | 3 | 925,000$ | ||
| MOYENNE D’ÉQUIPE | 100.00 | 74 | 79 | 75 | 87 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 64 | 71 | 0 | 40 | 66 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mike Vellucci | 64 | 62 | 65 | 68 | 90 | 84 | 56 | USA | 60 | 3 | 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 | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Edstrom | Monsters (CBJ) | C | 25 | 2000-10-12 | SWE | No | 232 Lbs | 201 CM | No | No | Prospect | No | No | 1 | 2024-05-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Albert Johansson | Monsters (CBJ) | D | 25 | 2001-01-04 | SWE | No | 195 Lbs | 183 CM | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
| Brennan Othmann | Monsters (CBJ) | LW | 23 | 2003-01-05 | CAN | No | 192 Lbs | 183 CM | No | No | Prospect | No | No | 1 | 2024-05-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Carl Grundstrom | Monsters (CBJ) | LW/RW | 28 | 1997-12-01 | SWE | No | 200 Lbs | 183 CM | No | No | Assign Manually | Yes | No | 3 | 2024-07-17 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Carson Meyer | Monsters (CBJ) | RW | 29 | 1997-08-18 | USA | No | 184 Lbs | 180 CM | No | No | Assign Manually | Yes | No | 3 | 2024-07-22 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Charlie Wright | Monsters (CBJ) | D | 22 | 2003-10-22 | CAN | No | 179 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Daniil But | Monsters (CBJ) | LW | 21 | 2005-02-15 | RUS | Yes | 203 Lbs | 196 CM | No | No | Prospect | No | No | 3 | 2026-05-24 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 924,000$ | 924,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Gavin Hayes | Monsters (CBJ) | LW | 22 | 2004-05-14 | USA | No | 177 Lbs | 185 CM | No | No | Prospect | No | No | 2 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Harrison Brunicke | Monsters (CBJ) | D | 20 | 2006-05-08 | CAN | No | 201 Lbs | 191 CM | No | No | Trade | 2026-05-24 | No | No | 2 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Jonathan Lekkerimaki | Monsters (CBJ) | RW | 22 | 2004-07-24 | SWE | No | 172 Lbs | 180 CM | No | No | Trade | 2026-05-24 | No | No | 2 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Josh Davies | Monsters (CBJ) | LW | 22 | 2004-03-24 | CAN | No | 197 Lbs | 175 CM | No | No | Free Agent | No | No | 2 | 2025-07-19 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | - | - | - | - | - | - | - | - | 1,499,999$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Matthew Robertson | Monsters (CBJ) | D | 25 | 2001-03-09 | CAN | No | 210 Lbs | 193 CM | No | No | Free Agent | No | No | 2 | 2025-07-19 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | - | - | - | - | - | - | - | - | 1,499,999$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Michael Milne | Monsters (CBJ) | LW | 23 | 2002-09-21 | CAN | No | 185 Lbs | 180 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Nikita Tolopilo | Monsters (CBJ) | G | 26 | 2000-04-06 | BLR | No | 229 Lbs | 198 CM | No | No | Assign Manually | No | No | 3 | 2024-07-17 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Owen Flores | Monsters (CBJ) | G | 22 | 2004-05-09 | USA | Yes | 176 Lbs | 188 CM | No | No | Prospect | No | No | 3 | 2026-05-24 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 924,000$ | 924,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Parker Wotherspoon | Monsters (CBJ) | D | 29 | 1997-08-24 | CAN | No | 190 Lbs | 185 CM | No | No | Assign Manually | Yes | No | 3 | 2024-07-22 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | 1,499,999$ | 1,499,999$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Riley Stillman | Monsters (CBJ) | D | 28 | 1998-03-09 | CAN | No | 207 Lbs | 188 CM | No | No | N/A | Yes | No | 1 | False | False | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Sam Lipkin | Monsters (CBJ) | LW | 23 | 2003-01-03 | USA | No | 192 Lbs | 188 CM | No | No | Prospect | No | No | 2 | 2025-06-01 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Tobias Bjornfot | Monsters (CBJ) | D | 25 | 2001-04-06 | SWE | No | 200 Lbs | 183 CM | No | No | Free Agent | No | No | 2 | 2025-07-19 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | - | - | - | - | - | - | - | - | 1,499,999$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ville Heinola | Monsters (CBJ) | D | 25 | 2001-03-02 | FIN | No | 181 Lbs | 183 CM | No | No | Free Agent | No | No | 2 | 2025-07-19 | False | False | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | 1,499,999$ | - | - | - | - | - | - | - | - | 1,499,999$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ville Ottavainen | Monsters (CBJ) | D | 24 | 2002-08-12 | FIN | No | 210 Lbs | 196 CM | No | No | Prospect | No | No | 1 | 2024-05-23 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 24.24 | 196 Lbs | 188 CM | 2.00 | 1,108,333$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Carl Grundstrom | 40 | 0 | 1 | 4 | ||
| 2 | Adam Edstrom | Carson Meyer | 30 | 1 | 2 | 2 | |
| 3 | Brennan Othmann | Michael Milne | 20 | 1 | 2 | 2 | |
| 4 | Michael Milne | Carson Meyer | 10 | 1 | 2 | 2 | |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Parker Wotherspoon | Ville Ottavainen | 40 | 1 | 2 | 2 | |
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Ville Heinola | 20 | 1 | 2 | 2 | ||
| 4 | Parker Wotherspoon | 10 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Carl Grundstrom | 60 | 0 | 0 | 5 | ||
| 2 | Adam Edstrom | Carson Meyer | 40 | 0 | 0 | 5 | |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Parker Wotherspoon | Ville Ottavainen | 60 | 1 | 1 | 3 | |
| 2 | 40 | 1 | 1 | 3 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Carl Grundstrom | 60 | 1 | 4 | 0 | |
| 2 | Adam Edstrom | 40 | 1 | 4 | 0 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Parker Wotherspoon | Ville Ottavainen | 60 | 1 | 4 | 0 |
| 2 | 40 | 1 | 4 | 0 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 0 | 5 | 0 | Parker Wotherspoon | Ville Ottavainen | 60 | 1 | 4 | 0 | |
| 2 | Adam Edstrom | 40 | 0 | 5 | 0 | 40 | 1 | 4 | 0 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Carl Grundstrom | 60 | 1 | 2 | 2 | |
| 2 | Adam Edstrom | 40 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Parker Wotherspoon | Ville Ottavainen | 60 | 1 | 2 | 2 |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Carl Grundstrom | Parker Wotherspoon | Ville Ottavainen | ||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Carl Grundstrom | Parker Wotherspoon | Ville Ottavainen | ||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , Carson Meyer, | , Carson Meyer | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , Ville Heinola, | , Ville Heinola | |
| Tirs de pénalité |
|---|
| , , Carl Grundstrom, Adam Edstrom, |
| Gardien |
|---|
| #1 : Nikita Tolopilo, #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 |
| 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 | 3000 | 2000 |
| Prix des billets | 25 | 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 |
| 41 | 0 - 0% | 0$ | 0$ | 5000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 2,327,500$ | 2,327,500$ | 500,000$0$ |
| 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$ | 0 | 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 |
|---|
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