 | Roadrunners |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Cody Friesen | Morale : 50 | Moyenne d’équipe : 59 |
|
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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 | 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 | Berkly Catton (R) | X | X | 100.00 | 57 | 50 | 86 | 84 | 64 | 63 | 83 | 67 | 49 | 62 | 60 | 62 | 75 | 52 | 52 | 65 | 50 | 63 | 0 | 20 | 3 | 942,500$ | ||||
| 2 | Samuel Helenius | X | 100.00 | 92 | 99 | 74 | 71 | 89 | 50 | 70 | 62 | 59 | 58 | 59 | 68 | 25 | 56 | 57 | 64 | 50 | 63 | 0 | 23 | 2 | 1,340,000$ | |||||
| 3 | Filip Bystedt | X | X | 100.00 | 82 | 79 | 89 | 67 | 79 | 56 | 54 | 65 | 80 | 64 | 63 | 68 | 60 | 44 | 44 | 66 | 50 | 62 | 0 | 24 | 2 | 1,341,000$ | ||||
| 4 | Arshdeep Bains | X | 100.00 | 73 | 43 | 87 | 79 | 67 | 53 | 77 | 64 | 30 | 62 | 56 | 69 | 25 | 48 | 48 | 64 | 50 | 62 | 0 | 25 | 3 | 1,403,000$ | |||||
| 5 | Ty Mueller (R) | X | X | 100.00 | 72 | 67 | 85 | 63 | 67 | 78 | 82 | 62 | 78 | 57 | 62 | 63 | 59 | 44 | 44 | 64 | 50 | 61 | 0 | 23 | 2 | 1,331,000$ | ||||
| 6 | Danila Klimovich (A) | X | 100.00 | 74 | 75 | 72 | 62 | 75 | 74 | 78 | 59 | 50 | 51 | 63 | 63 | 60 | 44 | 44 | 62 | 50 | 60 | 0 | 23 | 2 | 1,347,000$ | |||||
| 7 | Xavier Parent (R) | X | X | 100.00 | 62 | 60 | 65 | 59 | 60 | 78 | 83 | 62 | 50 | 56 | 63 | 58 | 60 | 44 | 44 | 62 | 50 | 59 | 0 | 25 | 1 | 1,024,000$ | ||||
| 8 | Olivier Nadeau (R) | X | 100.00 | 77 | 72 | 88 | 63 | 72 | 67 | 70 | 57 | 50 | 51 | 59 | 64 | 56 | 44 | 44 | 62 | 50 | 59 | 0 | 23 | 2 | 1,286,000$ | |||||
| 9 | Caedan Bankier | X | 100.00 | 78 | 72 | 91 | 62 | 72 | 75 | 81 | 54 | 68 | 47 | 56 | 64 | 53 | 44 | 44 | 60 | 50 | 58 | 0 | 23 | 2 | 1,281,000$ | |||||
| 10 | Riley Heidt (R) | X | 100.00 | 70 | 64 | 84 | 58 | 64 | 79 | 86 | 52 | 65 | 53 | 47 | 59 | 45 | 44 | 44 | 56 | 50 | 56 | 0 | 21 | 3 | 918,333$ | |||||
| 11 | Carson Golder | X | 100.00 | 79 | 76 | 86 | 59 | 76 | 36 | 34 | 47 | 50 | 45 | 44 | 62 | 42 | 44 | 44 | 52 | 50 | 51 | 0 | 24 | 2 | 1,041,000$ | |||||
| 12 | Ryan Ufko (R) | X | 100.00 | 67 | 41 | 89 | 71 | 64 | 63 | 85 | 74 | 25 | 72 | 51 | 71 | 25 | 45 | 45 | 65 | 50 | 65 | 0 | 23 | 2 | 1,298,000$ | |||||
| 13 | Theo Lindstein (R) | X | 100.00 | 65 | 42 | 89 | 75 | 71 | 68 | 91 | 63 | 25 | 50 | 53 | 75 | 25 | 45 | 45 | 63 | 50 | 65 | 0 | 21 | 3 | 918,333$ | |||||
| 14 | Kevin Korchinski | X | 100.00 | 61 | 41 | 90 | 71 | 69 | 62 | 83 | 60 | 25 | 51 | 47 | 73 | 25 | 57 | 57 | 60 | 50 | 63 | 0 | 22 | 1 | 918,333$ | |||||
| 15 | Ronnie Attard | X | 100.00 | 77 | 77 | 77 | 61 | 77 | 59 | 61 | 51 | 25 | 46 | 41 | 63 | 39 | 46 | 46 | 53 | 50 | 58 | 0 | 27 | 2 | 1,188,000$ | |||||
| 16 | Chase Pietila (R) | X | 100.00 | 72 | 72 | 71 | 57 | 72 | 52 | 54 | 47 | 25 | 39 | 40 | 59 | 38 | 44 | 44 | 50 | 50 | 54 | 0 | 22 | 2 | 1,263,000$ | |||||
| 17 | Andrej Sustr (R) | X | 100.00 | 75 | 86 | 50 | 57 | 86 | 36 | 35 | 44 | 25 | 34 | 39 | 60 | 37 | 44 | 44 | 47 | 50 | 52 | 0 | 35 | 1 | 750,000$ | |||||
| 18 | Bryce Montgomery (R) | X | 100.00 | 71 | 80 | 49 | 56 | 80 | 40 | 39 | 46 | 25 | 37 | 39 | 58 | 37 | 44 | 44 | 47 | 50 | 52 | 0 | 24 | 2 | 1,288,000$ | |||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Nick Abruzzese | X | 100.00 | 72 | 63 | 94 | 64 | 63 | 70 | 72 | 66 | 80 | 66 | 62 | 64 | 59 | 45 | 45 | 65 | 50 | 62 | 0 | 27 | 0 | 0$ | |||||
| MOYENNE D’ÉQUIPE | 100.00 | 72 | 66 | 80 | 65 | 72 | 61 | 69 | 58 | 47 | 53 | 53 | 64 | 44 | 46 | 46 | 59 | 50 | 59 | |||||||||||
| 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 | Sebastian Cossa | 100.00 | 50 | 40 | 50 | 91 | 63 | 60 | 63 | 60 | 62 | 56 | 30 | 44 | 44 | 57 | 50 | 59 | 0 | 23 | 1 | 863,333$ | ||
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 50 | 40 | 50 | 91 | 63 | 60 | 63 | 60 | 62 | 56 | 30 | 44 | 44 | 57 | 50 | 59 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mike Grier | 62 | 45 | 45 | 53 | 47 | 48 | 48 | USA | 50 | 3 | 750,000$ |
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrej Sustr | Roadrunners (ARZ) | D | 35 | 1990-11-29 | CZE | Yes | 220 Lbs | 6 ft7 | No | No | Draft | No | No | 1 | 2026-10-27 | False | False | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
| Arshdeep Bains | Roadrunners (ARZ) | LW | 25 | 2001-01-09 | CAN | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2026-11-05 | False | False | Pro & Farm | 1,403,000$ | 1,403,000$ | 0$ | 0$ | No | 1,403,000$ | 1,403,000$ | - | - | - | - | - | - | - | 1,403,000$ | 1,403,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
| Berkly Catton | Roadrunners (ARZ) | C/LW | 20 | 2006-01-14 | CAN | Yes | 179 Lbs | 5 ft10 | No | No | Draft | No | No | 3 | 2026-10-27 | False | False | Pro & Farm | 942,500$ | 942,500$ | 0$ | 0$ | No | 942,500$ | 942,500$ | - | - | - | - | - | - | - | 942,500$ | 942,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
| Bryce Montgomery | Roadrunners (ARZ) | D | 24 | 2002-06-10 | USA | Yes | 210 Lbs | 6 ft4 | No | No | Prospect | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,288,000$ | 1,288,000$ | 0$ | 0$ | No | 1,288,000$ | - | - | - | - | - | - | - | - | 1,288,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Caedan Bankier | Roadrunners (ARZ) | C | 23 | 2003-01-26 | CAN | No | 192 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,281,000$ | 1,281,000$ | 0$ | 0$ | No | 1,281,000$ | - | - | - | - | - | - | - | - | 1,281,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Carson Golder | Roadrunners (ARZ) | RW | 24 | 2002-06-20 | USA | No | 200 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 2 | 2025-10-17 | False | False | Pro & Farm | 1,041,000$ | 1,041,000$ | 0$ | 0$ | No | 1,041,000$ | - | - | - | - | - | - | - | - | 1,041,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Chase Pietila | Roadrunners (ARZ) | D | 22 | 2004-03-03 | USA | Yes | 190 Lbs | 6 ft2 | No | No | Draft | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,263,000$ | 1,263,000$ | 0$ | 0$ | No | 1,263,000$ | - | - | - | - | - | - | - | - | 1,263,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Danila Klimovich | Roadrunners (ARZ) | RW | 23 | 2003-01-09 | BLR | No | 202 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,347,000$ | 1,347,000$ | 0$ | 0$ | No | 1,347,000$ | - | - | - | - | - | - | - | - | 1,347,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Filip Bystedt | Roadrunners (ARZ) | C/LW | 24 | 2002-04-04 | SWE | No | 210 Lbs | 6 ft3 | No | No | Prospect | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,341,000$ | 1,341,000$ | 0$ | 0$ | No | 1,341,000$ | - | - | - | - | - | - | - | - | 1,341,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Kevin Korchinski | Roadrunners (ARZ) | D | 22 | 2004-06-21 | CAN | No | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 918,333$ | 918,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Nick Abruzzese | Roadrunners (ARZ) | C | 27 | 1999-06-04 | USA | No | 178 Lbs | 5 ft10 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
| Olivier Nadeau | Roadrunners (ARZ) | RW | 23 | 2003-01-15 | CAN | Yes | 197 Lbs | 6 ft1 | No | No | Prospect | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,286,000$ | 1,286,000$ | 0$ | 0$ | No | 1,286,000$ | - | - | - | - | - | - | - | - | 1,286,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Riley Heidt | Roadrunners (ARZ) | C | 21 | 2005-03-25 | CAN | Yes | 179 Lbs | 5 ft11 | No | No | Draft | No | No | 3 | 2026-10-27 | False | False | Pro & Farm | 918,333$ | 918,333$ | 0$ | 0$ | No | 918,333$ | 918,333$ | - | - | - | - | - | - | - | 918,333$ | 918,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
| Ronnie Attard | Roadrunners (ARZ) | D | 27 | 1999-03-20 | USA | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | 2025-10-17 | False | False | Pro & Farm | 1,188,000$ | 1,188,000$ | 0$ | 0$ | No | 1,188,000$ | - | - | - | - | - | - | - | - | 1,188,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Ryan Ufko | Roadrunners (ARZ) | D | 23 | 2003-05-07 | USA | Yes | 174 Lbs | 6 ft0 | No | No | Prospect | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,298,000$ | 1,298,000$ | 0$ | 0$ | No | 1,298,000$ | - | - | - | - | - | - | - | - | 1,298,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Samuel Helenius | Roadrunners (ARZ) | C | 23 | 2002-11-26 | USA | No | 225 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,340,000$ | 1,340,000$ | 0$ | 0$ | No | 1,340,000$ | - | - | - | - | - | - | - | - | 1,340,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Sebastian Cossa | Roadrunners (ARZ) | G | 23 | 2002-11-21 | ONT | No | 220 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 863,333$ | 863,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Theo Lindstein | Roadrunners (ARZ) | D | 21 | 2005-01-05 | SWE | Yes | 197 Lbs | 6 ft0 | No | No | Draft | No | No | 3 | 2026-10-27 | False | False | Pro & Farm | 918,333$ | 918,333$ | 0$ | 0$ | No | 918,333$ | 918,333$ | - | - | - | - | - | - | - | 918,333$ | 918,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
| Ty Mueller | Roadrunners (ARZ) | C/RW | 23 | 2003-02-26 | CAN | Yes | 185 Lbs | 5 ft11 | No | No | Draft | No | No | 2 | 2025-10-22 | False | False | Pro & Farm | 1,331,000$ | 1,331,000$ | 0$ | 0$ | No | 1,331,000$ | - | - | - | - | - | - | - | - | 1,331,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Xavier Parent | Roadrunners (ARZ) | LW/RW | 25 | 2001-03-23 | CAN | Yes | 170 Lbs | 5 ft8 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,024,000$ | 1,024,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 20 | 23.90 | 195 Lbs | 6 ft2 | 1.90 | 1,087,092$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | Ty Mueller | Samuel Helenius | Danila Klimovich | 30 | 1 | 2 | 2 |
| 3 | Filip Bystedt | 20 | 1 | 2 | 2 | ||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Kevin Korchinski | 40 | 1 | 2 | 2 | ||
| 2 | Ryan Ufko | Ronnie Attard | 30 | 1 | 2 | 2 | |
| 3 | Kevin Korchinski | 20 | 1 | 2 | 2 | ||
| 4 | Kevin Korchinski | 10 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Samuel Helenius | 60 | 1 | 2 | 2 | ||
| 2 | Ty Mueller | Filip Bystedt | Danila Klimovich | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Ronnie Attard | Kevin Korchinski | 60 | 1 | 2 | 2 | |
| 2 | Ryan Ufko | 40 | 1 | 2 | 2 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ty Mueller | Samuel Helenius | 60 | 1 | 2 | 2 |
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Kevin Korchinski | Ryan Ufko | 60 | 1 | 2 | 2 |
| 2 | Ronnie Attard | 40 | 1 | 2 | 2 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | Kevin Korchinski | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | Ryan Ufko | Ronnie Attard | 40 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ty Mueller | 60 | 1 | 2 | 2 | |
| 2 | Samuel Helenius | 40 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ronnie Attard | 60 | 1 | 2 | 2 | |
| 2 | Kevin Korchinski | Ryan Ufko | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ty Mueller | Kevin Korchinski | |||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ty Mueller | Kevin Korchinski | |||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Samuel Helenius, Ty Mueller, | , Ty Mueller | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , Kevin Korchinski, Ronnie Attard | Ronnie Attard, | |
| Tirs de pénalité |
|---|
| Samuel Helenius, Filip Bystedt, , , Ty Mueller |
| Gardien |
|---|
| #1 : Sebastian Cossa, #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 | 2000 | 1000 |
| Prix des billets | 25 | 10 |
| 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 |
| 43 | 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$ | 2,174,182$ | 2,174,182$ | 750,000$0$ |
| 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 |
|---|
Barracuda
Bruins
Canucks
Comets
Condors
Crunch
Gulls
IceHogs
Monsters
Rocket
Senators
Wild
Wolf Pack
Wolves
Admirals
Americans
Bears
Checkers
Eagles
Griffins
Heat
Islanders
Marlies
Moose
Phantoms
Reign
Stars
Thunderbirds
