| Nailers | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Denis Tremblay | Morale : 40 | Moyenne d’équipe : 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 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 | Oliver Wahlstrom | X | 100.00 | 57 | 81 | 71 | 73 | 74 | 70 | 50 | 59 | 51 | 58 | 58 | 59 | 50 | 67 | 59 | 0 | 40 | 65 | 0 | 25 | 2 | 874,125$ | ||||
| 2 | Bokondji Imama | X | 100.00 | 86 | 73 | 55 | 67 | 74 | 60 | 40 | 55 | 50 | 51 | 55 | 55 | 44 | 67 | 58 | 0 | 40 | 64 | 0 | 29 | 2 | 750,000$ | ||||
| 3 | Juha Jaaska | X | 100.00 | 62 | 58 | 81 | 72 | 69 | 69 | 43 | 55 | 56 | 64 | 52 | 54 | 43 | 59 | 61 | 0 | 40 | 63 | N | 0 | 27 | 5 | 850,000$ | |||
| 4 | Andre Lee | X | 100.00 | 73 | 59 | 79 | 67 | 83 | 69 | 44 | 55 | 50 | 58 | 55 | 56 | 45 | 57 | 59 | 0 | 40 | 63 | N | 0 | 25 | 2 | 775,000$ | |||
| 5 | Josh Dunne | X | 100.00 | 75 | 58 | 55 | 67 | 81 | 72 | 30 | 55 | 44 | 50 | 50 | 55 | 30 | 67 | 55 | 0 | 40 | 63 | 0 | 27 | 5 | 775,000$ | ||||
| 6 | Jeff Malott | X | 100.00 | 64 | 58 | 74 | 67 | 84 | 75 | 36 | 55 | 36 | 50 | 51 | 54 | 32 | 67 | 59 | 0 | 40 | 62 | 0 | 29 | 4 | 775,000$ | ||||
| 7 | Samuel Honzek (R) | X | 100.00 | 59 | 50 | 79 | 66 | 76 | 77 | 30 | 55 | 35 | 50 | 50 | 55 | 31 | 53 | 54 | 0 | 40 | 61 | 0 | 21 | 4 | 950,000$ | ||||
| 8 | Nikita Grebenkin (R) | X | 100.00 | 67 | 50 | 82 | 67 | 75 | 74 | 32 | 55 | 36 | 50 | 50 | 51 | 31 | 54 | 53 | 0 | 40 | 61 | 0 | 22 | 2 | 875,000$ | ||||
| 9 | Waltteri Merela | X | 100.00 | 67 | 50 | 89 | 63 | 78 | 60 | 55 | 55 | 46 | 50 | 50 | 53 | 40 | 62 | 54 | 0 | 40 | 61 | 0 | 27 | 4 | 775,000$ | ||||
| 10 | Vitali Kravtsov | X | 100.00 | 57 | 51 | 90 | 63 | 73 | 60 | 55 | 59 | 45 | 51 | 59 | 53 | 49 | 64 | 60 | 0 | 40 | 61 | 0 | 26 | 1 | 875,000$ | ||||
| 11 | Matt Luff | X | 100.00 | 59 | 50 | 90 | 63 | 72 | 60 | 55 | 55 | 45 | 53 | 53 | 51 | 41 | 70 | 58 | 0 | 40 | 60 | 0 | 28 | 4 | 775,000$ | ||||
| 12 | Radim Zohorna | X | 100.00 | 62 | 52 | 80 | 63 | 89 | 60 | 55 | 55 | 46 | 53 | 55 | 50 | 45 | 70 | 59 | 0 | 40 | 60 | 0 | 29 | 3 | 750,000$ | ||||
| 13 | Jacob Quillan (R) | X | 100.00 | 57 | 50 | 90 | 67 | 71 | 70 | 30 | 55 | 37 | 50 | 50 | 50 | 30 | 55 | 53 | 0 | 36 | 58 | 0 | 23 | 1 | 875,000$ | ||||
| 14 | Sam Rinzel (R) | X | 100.00 | 56 | 50 | 90 | 74 | 74 | 88 | 35 | 63 | 35 | 70 | 51 | 61 | 32 | 53 | 68 | 0 | 40 | 69 | 0 | 21 | 3 | 925,000$ | ||||
| 15 | Jake Bean | X | 100.00 | 55 | 51 | 90 | 73 | 69 | 80 | 70 | 64 | 40 | 59 | 58 | 65 | 50 | 71 | 65 | 0 | 40 | 69 | N | 0 | 27 | 5 | 1,750,000$ | |||
| 16 | Ville Heinola | X | 100.00 | 52 | 50 | 89 | 72 | 64 | 74 | 40 | 55 | 40 | 55 | 51 | 62 | 33 | 66 | 58 | 0 | 40 | 64 | 0 | 24 | 3 | 775,000$ | ||||
| 17 | Lukas Cormier | X | 100.00 | 47 | 50 | 90 | 63 | 61 | 60 | 55 | 57 | 31 | 65 | 50 | 50 | 30 | 58 | 63 | 0 | 40 | 61 | 0 | 23 | 1 | 775,000$ | ||||
| 18 | Donovan Sebrango (R) | X | 100.00 | 45 | 50 | 90 | 67 | 77 | 75 | 30 | 55 | 36 | 50 | 50 | 50 | 30 | 55 | 54 | 0 | 40 | 60 | 0 | 23 | 1 | 775,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 61 | 55 | 81 | 67 | 75 | 70 | 44 | 57 | 42 | 55 | 53 | 55 | 38 | 62 | 58 | 0 | 40 | 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 gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nikita Tolopilo (R) | 100.00 | 68 | 36 | 77 | 90 | 55 | 55 | 62 | 69 | 50 | 52 | 50 | 57 | 57 | 0 | 40 | 61 | N | 0 | 25 | 2 | 950,000$ |
| 2 | Trent Miner (R) | 100.00 | 68 | 37 | 81 | 73 | 55 | 55 | 62 | 64 | 50 | 52 | 50 | 56 | 57 | 0 | 40 | 59 | N | 0 | 24 | 3 | 775,000$ |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 68 | 37 | 79 | 82 | 55 | 55 | 62 | 67 | 50 | 52 | 50 | 57 | 57 | 0 | 40 | 60 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | 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 | Salaire restant | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andre Lee | Nailers (SF ) | LW | 25 | 2000-07-26 | CAN | No | 206 Lbs | 6 ft5 | Yes | No | Assign Manually | No | No | 2 | 2025-10-01 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Bokondji Imama | Nailers (SF ) | LW | 29 | 1996-08-03 | CAN | No | 221 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Donovan Sebrango | Nailers (SF ) | D | 23 | 2002-01-12 | CAN | Yes | 221 Lbs | 6 ft2 | No | No | Prospect | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jacob Quillan | Nailers (SF ) | C | 23 | 2002-02-02 | CAN | Yes | 204 Lbs | 6 ft1 | No | No | Trade | 2025-10-29 | No | No | 1 | 2025-07-22 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
| Jake Bean | Nailers (SF ) | D | 27 | 1998-06-09 | CAN | No | 191 Lbs | 6 ft1 | Yes | No | Assign Manually | No | No | 5 | 2025-10-01 | False | False | Pro & Farm | 1,750,000$ | 1,750,000$ | 0$ | 0$ | No | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | - | - | - | - | - | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Jeff Malott | Nailers (SF ) | LW | 29 | 1996-08-07 | CAN | No | 208 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 4 | 2024-10-25 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Josh Dunne | Nailers (SF ) | C | 27 | 1998-12-08 | CAN | No | 211 Lbs | 6 ft4 | No | No | N/A | No | No | 5 | 2025-09-03 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Juha Jaaska | Nailers (SF ) | LW | 27 | 1998-02-09 | CAN | No | 210 Lbs | 6 ft0 | Yes | No | Assign Manually | No | No | 5 | 2025-10-01 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | 850,000$ | 850,000$ | - | - | - | - | - | 850,000$ | 850,000$ | 850,000$ | 850,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Lukas Cormier | Nailers (SF ) | D | 23 | 2002-03-27 | CAN | No | 185 Lbs | 5 ft11 | No | No | Trade | 2024-10-28 | No | No | 1 | 2024-08-08 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Matt Luff | Nailers (SF ) | RW | 28 | 1997-05-05 | CAN | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2024-08-22 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Nikita Grebenkin | Nailers (SF ) | C | 22 | 2003-05-02 | CAN | Yes | 210 Lbs | 6 ft2 | No | No | Draft | No | No | 2 | 2025-07-22 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Nikita Tolopilo | Nailers (SF ) | G | 25 | 2000-04-06 | CAN | Yes | 229 Lbs | 6 ft6 | Yes | No | Assign Manually | No | No | 2 | 2025-10-01 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Oliver Wahlstrom | Nailers (SF ) | RW | 25 | 2000-06-13 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2024-08-22 | False | False | Pro & Farm | 874,125$ | 874,125$ | 0$ | 0$ | No | 874,125$ | - | - | - | - | - | - | - | - | 874,125$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Radim Zohorna | Nailers (SF ) | C | 29 | 1996-04-29 | CAN | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Sam Rinzel | Nailers (SF ) | D | 21 | 2004-06-25 | CAN | Yes | 177 Lbs | 6 ft4 | No | No | Prospect | No | No | 3 | 2025-07-22 | False | False | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Samuel Honzek | Nailers (SF ) | LW | 21 | 2004-11-12 | CAN | Yes | 186 Lbs | 6 ft4 | No | No | Prospect | No | No | 4 | 2025-07-22 | False | False | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | 950,000$ | - | - | - | - | - | - | 950,000$ | 950,000$ | 950,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Trent Miner | Nailers (SF ) | G | 24 | 2001-02-05 | CAN | Yes | 185 Lbs | 6 ft1 | Yes | No | Assign Manually | No | No | 3 | 2025-10-01 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Ville Heinola | Nailers (SF ) | D | 24 | 2001-03-02 | CAN | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2025-09-03 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Vitali Kravtsov | Nailers (SF ) | C | 26 | 1999-12-23 | CAN | No | 186 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Waltteri Merela | Nailers (SF ) | LW | 27 | 1998-07-06 | CAN | No | 210 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-10-25 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 20 | 25.25 | 202 Lbs | 6 ft3 | 2.85 | 869,956$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Vitali Kravtsov | 34 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Radim Zohorna | 26 | 1 | 2 | 2 | ||
| 4 | Radim Zohorna | Vitali Kravtsov | 10 | 1 | 2 | 2 | |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Vitali Kravtsov | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Vitali Kravtsov | 51 | 1 | 2 | 2 | |
| 2 | 49 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
| 2 | Vitali Kravtsov | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Vitali Kravtsov | 51 | 1 | 2 | 2 | |
| 2 | 49 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Vitali Kravtsov | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Vitali Kravtsov | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Radim Zohorna | , | Radim Zohorna |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , Vitali Kravtsov, , , |
| Gardien |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| 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 | 0 | 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 | 0 |
| 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 | 0 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 0$ | 0$ | 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 |
|---|
