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Full Scoreboard »» |
Ontario Reign Team Overall:65 0-0-0, 0pts · 8th in Conférence Ouest |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 31 | 67 | 33 | 89 | 74 | 65 | 82 | 80 | 73 | 84 | 71 | 66 | 63 | 75 | 78 | 73 | 0 | 40 | 73 | 100.00 | 5,000,000$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 27 | 62 | 35 | 91 | 69 | 76 | 87 | 83 | 67 | 88 | 66 | 64 | 86 | 63 | 69 | 68 | 0 | 40 | 72 | 100.00 | 1,000,000$/1yrs | ||
![]() | 0 | LW | 100.00 | 28 | 76 | 38 | 91 | 68 | 70 | 84 | 83 | 66 | 59 | 64 | 71 | 63 | 69 | 68 | 70 | 0 | 40 | 72 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | LW/RW | 100.00 | 25 | 89 | 36 | 79 | 68 | 82 | 86 | 77 | 67 | 53 | 68 | 67 | 66 | 68 | 65 | 70 | 0 | 40 | 72 | 100.00 | 850,000$/1yrs | ||
![]() | 0 | C | 100.00 | 23 | 70 | 39 | 92 | 63 | 80 | 79 | 83 | 62 | 80 | 66 | 63 | 79 | 66 | 65 | 67 | 0 | 40 | 71 | 100.00 | 863,333$/2yrs | ||
![]() | 0 | C | 100.00 | 22 | 72 | 40 | 88 | 67 | 85 | 87 | 90 | 65 | 78 | 67 | 63 | 64 | 72 | 63 | 68 | 0 | 40 | 71 | 100.00 | 1,713,333$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 28 | 67 | 38 | 81 | 66 | 80 | 85 | 79 | 64 | 75 | 65 | 67 | 68 | 64 | 69 | 73 | 0 | 40 | 71 | 100.00 | 737,500$/3yrs | ||
![]() | 0 | LW/RW | 100.00 | 24 | 86 | 35 | 87 | 66 | 73 | 79 | 86 | 62 | 58 | 63 | 66 | 57 | 63 | 65 | 67 | 0 | 40 | 70 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 25 | 59 | 39 | 93 | 66 | 81 | 80 | 82 | 64 | 77 | 63 | 67 | 62 | 65 | 67 | 69 | 0 | 40 | 70 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 22 | 76 | 39 | 73 | 60 | 79 | 84 | 87 | 60 | 65 | 58 | 62 | 57 | 61 | 64 | 65 | 0 | 40 | 67 | 100.00 | 806,667$/1yrs | ||
![]() | 0 | C | 100.00 | 22 | 63 | 36 | 93 | 64 | 69 | 81 | 75 | 63 | 71 | 62 | 59 | 58 | 64 | 63 | 65 | 0 | 40 | 67 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | C | 100.00 | 21 | 67 | 38 | 93 | 56 | 80 | 79 | 74 | 57 | 76 | 58 | 59 | 62 | 56 | 63 | 64 | 0 | 40 | 66 | 100.00 | 925,000$/3yrs | ||
![]() | 0 | D | 100.00 | 35 | 55 | 35 | 88 | 71 | 76 | 95 | 94 | 68 | 30 | 77 | 55 | 57 | 51 | 89 | 77 | 0 | 40 | 72 | 100.00 | 6,350,000$/1yrs | ||
![]() | 0 | D | 100.00 | 33 | 74 | 39 | 87 | 70 | 68 | 76 | 73 | 64 | 30 | 70 | 58 | 68 | 52 | 74 | 76 | 0 | 40 | 71 | 100.00 | 750,000$/1yrs | ||
![]() | 0 | D | 100.00 | 23 | 78 | 43 | 88 | 67 | 92 | 81 | 89 | 66 | 30 | 65 | 59 | 62 | 53 | 64 | 66 | 0 | 40 | 71 | 100.00 | 1,425,000$/2yrs | ||
![]() | 0 | D | 100.00 | 28 | 72 | 35 | 88 | 64 | 73 | 88 | 90 | 65 | 30 | 71 | 55 | 83 | 49 | 71 | 69 | 0 | 40 | 71 | 100.00 | 2,300,000$/2yrs | ||
![]() | 0 | D | 100.00 | 25 | 72 | 36 | 84 | 67 | 79 | 95 | 89 | 65 | 30 | 73 | 56 | 67 | 50 | 67 | 66 | 0 | 40 | 71 | 100.00 | 874,125$/1yrs | ||
![]() | 0 | D | 100.00 | 25 | 74 | 39 | 86 | 63 | 86 | 82 | 72 | 64 | 30 | 66 | 58 | 63 | 51 | 64 | 67 | 0 | 40 | 69 | 100.00 | 735,000$/1yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 23 | 58 | 37 | 84 | 59 | 67 | 84 | 85 | 58 | 62 | 61 | 59 | 56 | 57 | 63 | 65 | 0 | 40 | 66 | 100.00 | 756,667$/2yrs | ||
![]() | 0 | C | 100.00 | 21 | 62 | 38 | 79 | 63 | 69 | 78 | 69 | 62 | 77 | 61 | 57 | 64 | 66 | 62 | 63 | 0 | 40 | 66 | 100.00 | 2,475,000$/2yrs | ||
![]() | 0 | C/LW | 100.00 | 22 | 73 | 35 | 85 | 56 | 66 | 76 | 85 | 57 | 64 | 58 | 59 | 60 | 63 | 62 | 64 | 0 | 40 | 66 | 100.00 | 880,000$/1yrs | ||
![]() | 0 | LW/RW | 100.00 | 24 | 67 | 36 | 81 | 56 | 80 | 77 | 79 | 55 | 61 | 54 | 57 | 59 | 56 | 64 | 66 | 0 | 40 | 65 | 100.00 | 910,833$/2yrs | ||
![]() | 0 | C/LW | 100.00 | 24 | 69 | 39 | 85 | 54 | 78 | 77 | 67 | 55 | 51 | 58 | 54 | 57 | 53 | 65 | 67 | 0 | 40 | 64 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | C/LW | 100.00 | 23 | 63 | 37 | 92 | 55 | 72 | 68 | 88 | 54 | 61 | 55 | 56 | 57 | 58 | 63 | 65 | 0 | 40 | 64 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 28 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 1,400,000$/1yrs | ||
![]() | 0 | D | 100.00 | 23 | 73 | 40 | 87 | 65 | 80 | 87 | 76 | 63 | 30 | 70 | 58 | 75 | 51 | 63 | 67 | 0 | 40 | 70 | 100.00 | 1,302,500$/1yrs | ||
![]() | 0 | LWD | 100.00 | 22 | 65 | 42 | 67 | 58 | 74 | 69 | 76 | 57 | 30 | 58 | 57 | 56 | 45 | 66 | 68 | 0 | 40 | 65 | 100.00 | 768,333$/1yrs | ||
![]() | 0 | D | 100.00 | 27 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 725,000$/1yrs | ||
TEAM AVERAGE | 100.00 |
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 | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 28 | 74 | 75 | 77 | 74 | 74 | 73 | 70 | 83 | 0 | 40 | 67 | 850,000$/1yrs | ||||||||
![]() | 0 | 100.00 | 21 | 75 | 78 | 77 | 75 | 75 | 74 | 62 | 67 | 0 | 40 | 67 | 925,000$/3yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 22 | 75 | 86 | 83 | 75 | 75 | 74 | 63 | 69 | 0 | 40 | 67 | 966,667$/2yrs | ||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Bouchard | 71 | 68 | 69 | 65 | 74 | 69 | 78 | CAN | 48 | 1 | 525,000$ |
General Manager |
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Priority | Type | Description |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie | C/LW | 23 | 700,000$ | 700,000$ | 700,000$ | ||||||
Alex Biega | D | 33 | 750,000$ | 750,000$ | |||||||
Alex Turcotte | C | 21 | 2,475,000$ | 2,475,000$ | 2,475,000$ | ||||||
Arnaud Durandeau | LW | 23 | 756,667$ | 756,667$ | 756,667$ | ||||||
Austin Strand | D | 25 | 735,000$ | 735,000$ | |||||||
Brett Howden | C | 23 | 863,333$ | 863,333$ | 863,333$ | ||||||
Cal Foote | D | 23 | 1,425,000$ | 1,425,000$ | 1,425,000$ | ||||||
Carl Grundstrom | LW/RW | 24 | 925,000$ | 925,000$ | |||||||
| 0$ | 0$ | |||||||||
Cody Glass | C | 22 | 1,713,333$ | 1,713,333$ | |||||||
David Gustafsson | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
David Kampf | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Dylan DeMelo | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Gabriel Fontaine | C/LW | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Gabriel Fortier | C/LW | 22 | 880,000$ | 880,000$ | |||||||
Jack Kopacka | LW/RW | 24 | 910,833$ | 910,833$ | 910,833$ | ||||||
Joakim Ryan | D | 27 | 725,000$ | 725,000$ | |||||||
Jonathan Aspirot | LW/D | 22 | 768,333$ | 768,333$ | |||||||
Jonny Brodzinski | C/RW | 28 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Jordan Weal | C/LW/RW | 28 | 1,400,000$ | 1,400,000$ | |||||||
Keith Yandle | D | 35 | 6,350,000$ | 6,350,000$ | |||||||
| 0$ | 0$ | |||||||||
| 0$ | 0$ | |||||||||
Marcus Pettersson | D | 25 | 874,125$ | 874,125$ | |||||||
Michael Amadio | C/LW/RW | 25 | 700,000$ | 700,000$ | |||||||
Nathan Walker | LW | 28 | 700,000$ | 700,000$ | 700,000$ | ||||||
Paul Cotter | C/LW | 22 | 806,667$ | 806,667$ | |||||||
Sammy Blais | LW/RW | 25 | 850,000$ | 850,000$ | |||||||
Tyler Johnson | C | 31 | 5,000,000$ | 5,000,000$ | |||||||
Tyler Madden | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Urho Vaakanainen | D | 23 | 1,302,500$ | 1,302,500$ |
Forward Lines | |||||||
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2nd Power Play Unit | |||||||
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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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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 |
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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 | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
41,652,460$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | 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$ | 15$ | $ | $ | $ |
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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
41,652,460$ | 40,939,960$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 10 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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