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Full Scoreboard »» |
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Full Scoreboard »» |
| Ontario Reign 0-0-0, 0pts · 15th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matej Blumel (R) | 0 | LW | 100.00 | 63 | 39 | 86 | 66 | 77 | 72 | 85 | 64 | 36 | 66 | 67 | 63 | 66 | 63 | 62 | 0 | 32 | 75 | 25 | 950,000$/1yrs | |||
MacKenzie MacEachern | 62 | LW/RW | 100.00 | 76 | 41 | 64 | 58 | 77 | 70 | 79 | 66 | 39 | 61 | 60 | 70 | 61 | 73 | 70 | 0 | 24 | 73 | 32 | 1,250,000$/1yrs | |||
Jani Nyman (R) | 0 | LW/RW | 100.00 | 67 | 33 | 91 | 65 | 84 | 74 | 71 | 61 | 59 | 61 | 67 | 53 | 64 | 61 | 60 | 0 | 29 | 73 | 21 | 923,333$/1yrs | |||
Tomas Nosek | 9 | C/LW | 100.00 | 76 | 33 | 93 | 55 | 83 | 73 | 77 | 54 | 80 | 59 | 55 | 67 | 55 | 81 | 81 | 0 | 26 | 70 | 33 | 1,000,000$/2yrs | |||
Alex Turcotte | 0 | C | 100.00 | 65 | 34 | 89 | 58 | 71 | 74 | 85 | 58 | 77 | 64 | 60 | 55 | 59 | 66 | 65 | 0 | 26 | 70 | 25 | 900,000$/1yrs | |||
Tristan Broz (R) | 0 | C/LW | 100.00 | 66 | 39 | 81 | 61 | 70 | 67 | 86 | 59 | 69 | 59 | 61 | 62 | 60 | 59 | 57 | 0 | 27 | 70 | 23 | 925,000$/2yrs | |||
Max Jones | 0 | LW | 100.00 | 86 | 39 | 80 | 56 | 86 | 70 | 72 | 54 | 55 | 56 | 59 | 57 | 57 | 72 | 70 | 0 | 25 | 69 | 28 | 1,000,000$/1yrs | |||
Jaret Anderson-Dolan | 0 | C | 100.00 | 70 | 40 | 75 | 56 | 76 | 65 | 84 | 62 | 71 | 57 | 55 | 65 | 56 | 64 | 62 | 0 | 30 | 69 | 26 | 800,000$/1yrs | |||
Alex Jefferies (R) | 0 | LW | 100.00 | 63 | 39 | 86 | 59 | 75 | 66 | 86 | 60 | 37 | 59 | 57 | 63 | 58 | 61 | 60 | 0 | 29 | 69 | 24 | 900,000$/3yrs | |||
Cameron Lund (R) | 0 | C/LW/RW | 100.00 | 61 | 39 | 87 | 61 | 77 | 67 | 89 | 57 | 66 | 59 | 60 | 62 | 60 | 59 | 58 | 0 | 29 | 69 | 21 | 941,667$/3yrs | |||
Mason Primeau (R) | 57 | C | 100.00 | 69 | 41 | 76 | 52 | 91 | 62 | 65 | 63 | 50 | 52 | 51 | 66 | 52 | 64 | 62 | 0 | 27 | 67 | 24 | 800,000$/1yrs | |||
Cole Beaudoin (R) | 0 | C | 100.00 | 52 | 38 | 96 | 58 | 77 | 64 | 84 | 54 | 62 | 57 | 57 | 62 | 57 | 59 | 59 | 0 | 24 | 67 | 20 | 942,500$/3yrs | |||
Trevor Janicke (R) | 0 | RW | 100.00 | 58 | 38 | 95 | 52 | 76 | 61 | 69 | 62 | 38 | 52 | 50 | 65 | 51 | 62 | 62 | 0 | 29 | 66 | 25 | 800,000$/1yrs | |||
Nikolas Brouillard | 93 | D | 100.00 | 70 | 38 | 74 | 56 | 58 | 68 | 88 | 53 | 30 | 62 | 53 | 70 | 57 | 72 | 69 | 0 | 19 | 71 | 31 | 900,000$/1yrs | |||
Corey Schueneman | 0 | D | 100.00 | 63 | 39 | 86 | 53 | 76 | 66 | 87 | 51 | 30 | 59 | 52 | 70 | 55 | 72 | 70 | 0 | 26 | 70 | 30 | 900,000$/1yrs | |||
Matt Kiersted | 3 | D | 100.00 | 68 | 39 | 78 | 54 | 71 | 65 | 86 | 51 | 30 | 60 | 50 | 67 | 55 | 66 | 64 | 0 | 24 | 69 | 28 | 850,000$/1yrs | |||
Dennis Cesana | 0 | D | 100.00 | 63 | 38 | 86 | 48 | 70 | 63 | 69 | 47 | 30 | 54 | 50 | 67 | 52 | 66 | 65 | 0 | 24 | 66 | 28 | 800,000$/2yrs | |||
Luke Prokop (R) | 6 | D | 100.00 | 61 | 40 | 88 | 48 | 91 | 62 | 79 | 47 | 30 | 54 | 51 | 63 | 52 | 59 | 58 | 0 | 25 | 65 | 23 | 800,000$/2yrs | |||
Colin Swoyer | 0 | D | 100.00 | 65 | 39 | 83 | 49 | 72 | 61 | 72 | 46 | 30 | 54 | 46 | 67 | 50 | 66 | 64 | 0 | 21 | 65 | 28 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Lukas Rousek | 10 | RW | 100.00 | 67 | 39 | 79 | 58 | 74 | 67 | 83 | 62 | 49 | 64 | 53 | 65 | 59 | 65 | 62 | 0 | 20 | 70 | 27 | 925,000$/1yrs | |||
Otto Koivula | 21 | LW | 100.00 | 73 | 41 | 69 | 55 | 92 | 66 | 80 | 62 | 67 | 57 | 55 | 66 | 56 | 66 | 63 | 0 | 20 | 69 | 27 | 800,000$/1yrs | |||
Roni Hirvonen (R) | 0 | C | 100.00 | 64 | 38 | 84 | 57 | 68 | 64 | 79 | 59 | 64 | 55 | 56 | 62 | 55 | 59 | 58 | 0 | 20 | 67 | 24 | 850,000$/2yrs | |||
Bear Hughes (R) | 0 | C | 100.00 | 61 | 38 | 86 | 57 | 70 | 65 | 89 | 54 | 65 | 57 | 56 | 65 | 56 | 63 | 61 | 0 | 20 | 67 | 24 | 800,000$/1yrs | |||
Kristian Vesalainen | 93 | LW/RW | 100.00 | 72 | 33 | 95 | 57 | 83 | 70 | 60 | 56 | 55 | 48 | 51 | 61 | 58 | 65 | 64 | 0 | 20 | 66 | 26 | ||||
Kai Schwindt | 20 | LW | 100.00 | 57 | 38 | 91 | 59 | 75 | 63 | 60 | 55 | 41 | 47 | 49 | 60 | 56 | 54 | 53 | 0 | 20 | 63 | 22 | ||||
Noel Hoefenmayer | 2 | D | 100.00 | 67 | 39 | 80 | 55 | 75 | 66 | 76 | 53 | 30 | 61 | 54 | 66 | 57 | 65 | 62 | 0 | 20 | 70 | 27 | 800,000$/1yrs | |||
Reilly Walsh | 22 | D | 100.00 | 66 | 39 | 81 | 55 | 72 | 66 | 82 | 52 | 30 | 61 | 53 | 66 | 57 | 64 | 63 | 0 | 20 | 70 | 27 | ||||
Nikolai Knyzhov | 0 | D | 100.00 | 65 | 40 | 83 | 47 | 89 | 63 | 77 | 47 | 30 | 52 | 51 | 67 | 52 | 66 | 64 | 0 | 24 | 65 | 28 | 900,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hunter Shepard | 0 | 100.00 | 66 | 75 | 67 | 82 | 63 | 75 | 69 | 66 | 75 | 72 | 70 | 72 | 73 | 0 | 22 | 75 | 30 | 900,000$/1yrs |
Malcolm Subban | 30 | 100.00 | 63 | 64 | 65 | 85 | 56 | 75 | 67 | 63 | 75 | 71 | 68 | 76 | 75 | 0 | 25 | 73 | 32 | 950,000$/1yrs |
| Scratches | ||||||||||||||||||||
Mads Sogaard | 40 | 100.00 | 66 | 64 | 65 | 85 | 54 | 73 | 66 | 66 | 73 | 73 | 68 | 63 | 63 | 0 | 27 | 72 | 25 | 950,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joel Quenneville | 77 | 81 | 86 | 75 | 95 | 89 | 49 | CAN | 67 | 1 | 1,000,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Jefferies | LW | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Alex Turcotte | C | 25 | 900,000$ | 900,000$ | |||||||
| Bear Hughes | C | 24 | 800,000$ | 800,000$ | |||||||
| Cameron Lund | C/LW/RW | 21 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
| Cole Beaudoin | C | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Colin Swoyer | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Corey Schueneman | D | 30 | 900,000$ | 900,000$ | UFA | ||||||
| Dennis Cesana | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Hunter Shepard | G | 30 | 900,000$ | 900,000$ | UFA | ||||||
| Jani Nyman | LW/RW | 21 | 923,333$ | 923,333$ | RFA | ||||||
| Jaret Anderson-Dolan | C | 26 | 800,000$ | 800,000$ | |||||||
| Kai Schwindt | LW | 22 | 0$ | RFA | |||||||
| Kristian Vesalainen | LW/RW | 26 | 0$ | ||||||||
| Lukas Rousek | RW | 27 | 925,000$ | 925,000$ | UFA | ||||||
| Luke Prokop | D | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| MacKenzie MacEachern | LW/RW | 32 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Mads Sogaard | G | 25 | 950,000$ | 950,000$ | |||||||
| Malcolm Subban | G | 32 | 950,000$ | 950,000$ | UFA | ||||||
| Mason Primeau | C | 24 | 800,000$ | 800,000$ | |||||||
| Matej Blumel | LW | 25 | 950,000$ | 950,000$ | |||||||
| Matt Kiersted | D | 28 | 850,000$ | 850,000$ | UFA | ||||||
| Max Jones | LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Nikolai Knyzhov | D | 28 | 900,000$ | 900,000$ | UFA | ||||||
| Nikolas Brouillard | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
| Noel Hoefenmayer | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Otto Koivula | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Reilly Walsh | D | 27 | 0$ | UFA | |||||||
| Roni Hirvonen | C | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Tomas Nosek | C/LW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Trevor Janicke | RW | 25 | 800,000$ | 800,000$ | |||||||
| Tristan Broz | C/LW | 23 | 925,000$ | 925,000$ | 925,000$ |
| Forward Lines | |||||||
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| Goalies | |||||||
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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 |
| 2,088,250$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Ontario | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,088,250$ | 2,088,250$ | 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$ | 14 | 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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