*** Vos line up début saison Samedi 4 octobre 16h00 ***
Last update: 2026-05-20 16:13:55
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rasmus Asplund | 0 | C | 100.00 | 56 | 55 | 70 | 66 | 68 | 69 | 66 | 66 | 71 | 67 | 63 | 65 | 55 | 67 | 61 | 0 | 50 | 68 | 28 | 775,000$/1yrs | |||
Alexander Nylander | 0 | LW | 100.00 | 58 | 56 | 73 | 66 | 74 | 69 | 65 | 67 | 56 | 63 | 68 | 61 | 55 | 67 | 61 | 0 | 50 | 68 | 28 | 775,000$/1yrs | |||
Drake Caggiula | 0 | LW | 100.00 | 58 | 58 | 68 | 62 | 63 | 67 | 65 | 65 | 56 | 65 | 64 | 66 | 57 | 72 | 64 | 0 | 50 | 67 | 31 | 775,000$/1yrs | |||
Justin Hryckowian | 0 | C | 100.00 | 57 | 57 | 71 | 67 | 70 | 66 | 64 | 64 | 56 | 65 | 60 | 64 | 55 | 62 | 57 | 0 | 50 | 66 | 25 | 950,000$/4yrs | |||
Justin Bailey | 0 | C | 100.00 | 61 | 57 | 76 | 65 | 78 | 67 | 68 | 61 | 55 | 60 | 63 | 64 | 54 | 69 | 63 | 0 | 50 | 66 | 30 | 775,000$/1yrs | |||
Tanner Laczynski | 0 | C | 100.00 | 57 | 55 | 71 | 64 | 73 | 65 | 62 | 63 | 56 | 64 | 61 | 62 | 55 | 67 | 61 | 0 | 50 | 66 | 28 | 775,000$/2yrs | |||
Oliver Wahlstrom | 0 | RW | 100.00 | 68 | 59 | 85 | 67 | 77 | 56 | 66 | 58 | 56 | 61 | 59 | 64 | 63 | 63 | 61 | 0 | 50 | 65 | 25 | 1,000,000$/1yrs | |||
James Hamblin | 0 | C | 100.00 | 58 | 52 | 76 | 61 | 64 | 62 | 62 | 62 | 71 | 61 | 61 | 66 | 56 | 63 | 59 | 0 | 50 | 65 | 27 | 775,000$/2yrs | |||
Martin Frk | 0 | RW | 100.00 | 53 | 63 | 62 | 60 | 67 | 65 | 64 | 65 | 52 | 62 | 64 | 59 | 54 | 71 | 62 | 0 | 50 | 65 | 32 | 775,000$/1yrs | |||
Jonathan Lekkerimaki (R) | 0 | RW | 100.00 | 61 | 54 | 79 | 68 | 65 | 59 | 59 | 59 | 54 | 59 | 62 | 60 | 62 | 57 | 56 | 0 | 50 | 64 | 21 | 1,393,333$/3yrs | |||
Xavier Bourgault | 0 | RW | 100.00 | 54 | 56 | 70 | 62 | 64 | 67 | 65 | 59 | 55 | 58 | 58 | 63 | 58 | 57 | 55 | 0 | 50 | 63 | 23 | 1,167,500$/2yrs | |||
Jason Polin | 0 | RW | 100.00 | 56 | 55 | 72 | 58 | 71 | 64 | 62 | 57 | 56 | 57 | 58 | 63 | 55 | 63 | 59 | 0 | 50 | 62 | 26 | 775,000$/2yrs | |||
Jeremie Poirier | 0 | D | 100.00 | 56 | 57 | 66 | 63 | 69 | 66 | 64 | 63 | 40 | 65 | 59 | 64 | 60 | 58 | 56 | 0 | 50 | 65 | 23 | 833,333$/2yrs | |||
Billy Sweezey | 0 | D | 100.00 | 57 | 54 | 64 | 57 | 70 | 68 | 66 | 60 | 40 | 60 | 59 | 68 | 54 | 69 | 62 | 0 | 50 | 65 | 30 | 775,000$/2yrs | |||
Cole McWard | 0 | D | 100.00 | 55 | 57 | 69 | 62 | 69 | 68 | 66 | 62 | 40 | 63 | 59 | 66 | 54 | 60 | 56 | 0 | 50 | 65 | 24 | 775,000$/2yrs | |||
Artyom Levshunov (R) | 0 | D | 100.00 | 57 | 49 | 68 | 69 | 75 | 66 | 60 | 61 | 39 | 64 | 58 | 64 | 52 | 54 | 53 | 0 | 50 | 65 | 20 | 4,225,000$/3yrs | |||
3Lias Pettersson | 0 | D | 100.00 | 57 | 47 | 73 | 65 | 69 | 58 | 59 | 56 | 39 | 59 | 60 | 65 | 55 | 55 | 55 | 0 | 50 | 63 | 22 | 918,333$/3yrs | |||
Ben Harpur | 0 | D | 100.00 | 56 | 54 | 67 | 56 | 74 | 59 | 59 | 55 | 40 | 55 | 55 | 61 | 54 | 69 | 61 | 0 | 50 | 61 | 31 | 750,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Roni Hirvonen | 0 | C | 100.00 | 55 | 55 | 68 | 59 | 61 | 66 | 64 | 58 | 70 | 57 | 58 | 63 | 54 | 56 | 54 | 0 | 50 | 62 | 24 | 856,667$/1yrs | |||
Cross Hanas | 0 | LW | 100.00 | 55 | 56 | 67 | 59 | 66 | 66 | 64 | 58 | 55 | 57 | 58 | 64 | 58 | 56 | 54 | 0 | 50 | 62 | 24 | 925,000$/1yrs | |||
Hunter Haight (R) | 0 | C | 100.00 | 52 | 52 | 65 | 61 | 60 | 65 | 63 | 57 | 52 | 55 | 59 | 59 | 51 | 52 | 50 | 0 | 50 | 61 | 22 | 918,333$/3yrs | |||
Oliver Kapanen (R) | 0 | C | 100.00 | 58 | 38 | 89 | 70 | 69 | 49 | 52 | 51 | 59 | 58 | 53 | 59 | 81 | 53 | 56 | 0 | 50 | 60 | 22 | 1,208,333$/3yrs | |||
Austin Rueschhoff | 26 | RW | 100.00 | 55 | 56 | 57 | 56 | 56 | 59 | 58 | 56 | 54 | 55 | 56 | 57 | 54 | 57 | 55 | 0 | 50 | 59 | 28 | 775,000$/2yrs | |||
Bryce McConnell-Barker (R) | 0 | C | 100.00 | 52 | 52 | 64 | 54 | 66 | 66 | 63 | 54 | 52 | 54 | 54 | 62 | 51 | 51 | 49 | 0 | 50 | 59 | 21 | 918,333$/3yrs | |||
Quinn Hutson | 0 | RW | 100.00 | 54 | 38 | 64 | 60 | 60 | 67 | 52 | 50 | 48 | 55 | 50 | 58 | 51 | 52 | 56 | 0 | 50 | 58 | 24 | 875,000$/4yrs | |||
Lassi Thomson | 0 | D | 100.00 | 56 | 54 | 58 | 56 | 57 | 59 | 58 | 56 | 50 | 55 | 55 | 57 | 54 | 58 | 56 | 0 | 50 | 59 | 25 | 775,000$/2yrs | |||
Case McCarthy (R) | 0 | D | 100.00 | 54 | 54 | 70 | 55 | 68 | 57 | 57 | 54 | 40 | 54 | 55 | 61 | 54 | 60 | 56 | 0 | 50 | 59 | 25 | 775,000$/1yrs | |||
Jesse Pulkkinen (R) | 0 | D | 100.00 | 51 | 51 | 68 | 53 | 76 | 53 | 53 | 51 | 38 | 51 | 52 | 56 | 51 | 52 | 50 | 0 | 50 | 56 | 21 | 975,000$/3yrs | |||
| 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 |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hunter Shepard | 0 | 100.00 | 74 | 72 | 73 | 59 | 70 | 65 | 67 | 69 | 60 | 69 | 62 | 74 | 64 | 0 | 50 | 71 | 30 | 775,000$/1yrs |
Olivier Rodrigue | 0 | 100.00 | 70 | 73 | 73 | 59 | 68 | 61 | 68 | 75 | 63 | 69 | 66 | 63 | 57 | 0 | 50 | 71 | 25 | 775,000$/2yrs |
| Scratches | ||||||||||||||||||||
Cal Petersen | 0 | 100.00 | 66 | 69 | 69 | 63 | 69 | 59 | 66 | 68 | 62 | 69 | 73 | 74 | 63 | 0 | 50 | 69 | 31 | 5,000,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Guy Boucher | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 58 | 4 | 0$ |
| General Manager |
|---|
| 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 |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
|---|
| 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 |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
3Lias Pettersson | D | 22 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Alexander Nylander ![]() | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Artyom Levshunov | D | 20 | 4,225,000$ | 4,225,000$ | 4,225,000$ | 4,225,000$ | RFA | ||||
Austin Rueschhoff ![]() | RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Ben Harpur ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Billy Sweezey ![]() | D | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Bryce McConnell-Barker | C | 21 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Cal Petersen ![]() | G | 31 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Case McCarthy ![]() | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Cole McWard | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Cross Hanas | LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Drake Caggiula ![]() | LW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Hunter Haight | C | 22 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Hunter Shepard ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
James Hamblin ![]() | C | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jason Polin ![]() | RW | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jeremie Poirier | D | 23 | 833,333$ | 833,333$ | 775,000$ | RFA | |||||
Jesse Pulkkinen | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jonathan Lekkerimaki | RW | 21 | 1,393,333$ | 1,393,333$ | 1,393,333$ | 1,393,333$ | RFA | ||||
Justin Bailey ![]() | C | 30 | 775,000$ | 775,000$ | UFA | ||||||
Justin Hryckowian ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | |||
Lassi Thomson ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Martin Frk ![]() | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Oliver Kapanen | C | 22 | 1,208,333$ | 1,208,333$ | 1,208,333$ | 1,208,333$ | RFA | ||||
Oliver Wahlstrom ![]() | RW | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Olivier Rodrigue ![]() | G | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Quinn Hutson | RW | 24 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | |||
Rasmus Asplund ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Roni Hirvonen | C | 24 | 856,667$ | 856,667$ | RFA | ||||||
Tanner Laczynski ![]() | C | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Xavier Bourgault | RW | 23 | 1,167,500$ | 1,167,500$ | 775,000$ | RFA |
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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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | nan | 9.57 |
| 2nd Period | nan | 20.31 |
| 3rd Period | nan | 30.68 |
| Overtime | nan | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | nan | 0.64 |
| 2nd Period | nan | 1.65 |
| 3rd Period | nan | 2.67 |
| Overtime | nan | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,453,915$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Grand Rapids | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 36$ | 16$ | $ | $ | $ |
| Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,453,915$ | 3,453,915$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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