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![](images/NJHL.png)
GP | W | L | OT | Pts |
---|---|---|---|---|
0 | 0 | 0 | 0 | 0 |
GM: Gabriel Bossé | League Rank:22nd | Arena: Rimouski Arena |
Conference: Eastern Conference | Conference Rank:11st | Capacity:3,000 |
Division: North East Division | Division Rank:3rd | Total Player Salaries:2,522,740$ |
Captain: Roch Fingland | Last 10: 0-0-0 | |
Coach: Vernon Kay | Home: 0-0-0 | |
All-Time Record: 83 W - 58 L - 19 OTL | Away: 0-0-0 | |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 51 | 44 | 71 | 81 | 98 | 54 | 83 | 92 | 50 | 89 | 56 | 76 | 86 | 70 | 81 | 56 | 50 | 76 | 23 | 1,432,286$/4yrs | |||
![]() | 0 | LW | 100.00 | 67 | 41 | 89 | 88 | 90 | 61 | 66 | 96 | 54 | 63 | 73 | 86 | 86 | 42 | 80 | 71 | 50 | 76 | 22 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 52 | 56 | 88 | 96 | 85 | 94 | 73 | 90 | 89 | 80 | 45 | 40 | 50 | 51 | 44 | 78 | 50 | 76 | 20 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 99 | 35 | 69 | 72 | 71 | 85 | 65 | 86 | 63 | 56 | 71 | 96 | 91 | 80 | 52 | 66 | 50 | 75 | 22 | 1,990,999$/4yrs | |||
![]() | 0 | RW | 100.00 | 97 | 65 | 71 | 78 | 51 | 71 | 92 | 77 | 48 | 75 | 77 | 55 | 65 | 29 | 56 | 72 | 50 | 72 | 22 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 95 | 50 | 54 | 89 | 96 | 82 | 52 | 76 | 59 | 59 | 90 | 26 | 58 | 82 | 60 | 75 | 50 | 70 | 19 | 800,000$/2yrs | |||
![]() | 95 | RW | 100.00 | 89 | 60 | 57 | 93 | 54 | 55 | 64 | 88 | 68 | 63 | 81 | 58 | 70 | 56 | 37 | 68 | 50 | 69 | 22 | 2,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 54 | 93 | 79 | 54 | 63 | 65 | 95 | 25 | 84 | 60 | 70 | 55 | 47 | 61 | 67 | 50 | 70 | 22 | 1,998,999$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 63 | 41 | 78 | 83 | 63 | 66 | 60 | 83 | 83 | 98 | 38 | 71 | 40 | 82 | 84 | 1 | 50 | 72 | 36 | 469,000$/1yrs | |||
![]() | 0 | C | 100.00 | 32 | 46 | 73 | 95 | 60 | 82 | 90 | 79 | 70 | 69 | 60 | 60 | 45 | 80 | 63 | 75 | 50 | 72 | 21 | 402,000$/1yrs | |||
![]() | 20 | C | 100.00 | 31 | 36 | 91 | 73 | 63 | 61 | 94 | 86 | 98 | 70 | 84 | 38 | 56 | 74 | 97 | 48 | 50 | 71 | 24 | 330,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 35 | 52 | 69 | 82 | 67 | 69 | 79 | 67 | 84 | 85 | 57 | 60 | 61 | 53 | 43 | 40 | 50 | 70 | 28 | 812,420$/2yrs | |||
![]() | 0 | LW | 100.00 | 95 | 62 | 75 | 70 | 56 | 88 | 72 | 80 | 89 | 51 | 65 | 67 | 60 | 90 | 87 | 43 | 50 | 70 | 26 | 725,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 96 | 32 | 92 | 82 | 90 | 89 | 54 | 80 | 62 | 52 | 62 | 42 | 50 | 68 | 73 | 61 | 50 | 70 | 23 | 1,569,398$/4yrs | |||
![]() | 0 | LW | 100.00 | 79 | 47 | 75 | 88 | 53 | 77 | 50 | 83 | 76 | 82 | 74 | 30 | 75 | 75 | 85 | 73 | 50 | 69 | 21 | 490,000$/2yrs | |||
![]() | 0 | C | 100.00 | 96 | 49 | 74 | 52 | 29 | 77 | 76 | 88 | 81 | 44 | 53 | 89 | 68 | 47 | 77 | 70 | 50 | 66 | 22 | 329,000$/2yrs | |||
![]() | 26 | D | 100.00 | 78 | 35 | 89 | 63 | 72 | 73 | 65 | 91 | 25 | 72 | 35 | 81 | 97 | 70 | 78 | 26 | 50 | 71 | 31 | 684,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 36 | 88 | 99 | 63 | 65 | 55 | 73 | 25 | 63 | 53 | 81 | 91 | 62 | 55 | 47 | 50 | 71 | 26 | 1,990,999$/4yrs | |||
![]() | 0 | D | 100.00 | 48 | 65 | 81 | 80 | 52 | 68 | 59 | 72 | 25 | 83 | 62 | 96 | 68 | 62 | 47 | 26 | 50 | 70 | 30 | 509,000$/1yrs | |||
![]() | 8 | D | 100.00 | 66 | 58 | 78 | 66 | 80 | 72 | 50 | 92 | 25 | 39 | 48 | 90 | 87 | 74 | 79 | 62 | 50 | 69 | 22 | 458,000$/3yrs | |||
![]() | 3 | D | 100.00 | 37 | 82 | 67 | 79 | 57 | 92 | 58 | 69 | 25 | 72 | 62 | 79 | 48 | 37 | 63 | 15 | 50 | 68 | 32 | 1,228,085$/4yrs | |||
![]() | 0 | D | 100.00 | 47 | 37 | 68 | 94 | 77 | 55 | 64 | 67 | 25 | 48 | 45 | 86 | 84 | 84 | 77 | 50 | 50 | 66 | 25 | 320,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 79 | 87 | 74 | 69 | 97 | 61 | 86 | 67 | 54 | 65 | 68 | 54 | 59 | 68 | 50 | 74 | 21 | 1,540,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 50 | 97 | 54 | 67 | 73 | 97 | 91 | 55 | 80 | 73 | 88 | 89 | 42 | 1 | 50 | 74 | 36 | 1,148,199$/1yrs |
![]() | 0 | 100.00 | 87 | 59 | 50 | 73 | 84 | 53 | 60 | 48 | 91 | 91 | 68 | 73 | 63 | 68 | 50 | 70 | 22 | 1,600,000$/4yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Vernon Kay | 89 | 44 | 84 | 69 | 71 | 64 | 95 | CAN | 48 | 1 | 550,000$ |
General Manager | Gabriel Bossé |
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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 |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MPG | 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 |
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Player Name | POS | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexis Doucet ![]() | D | 25 | 320,000$ | 320,000$ | 320,000$ | 320,000$ | |||||
Andy Self ![]() | RW | 28 | 812,420$ | 812,420$ | 812,420$ | ||||||
Austen Hollman ![]() | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Bryan Stickley ![]() | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Carl-Johan Paakkala ![]() | G | 21 | 1,540,000$ | 1,540,000$ | |||||||
Coy Hillis ![]() | C | 24 | 330,000$ | 330,000$ | |||||||
David Ethell ![]() | LW | 21 | 490,000$ | 490,000$ | 490,000$ | ||||||
Didier Theriault ![]() | LW | 26 | 725,000$ | 725,000$ | |||||||
Edward Krook ![]() | D | 26 | 1,990,999$ | 1,990,999$ | 1,990,999$ | 1,990,999$ | 1,990,999$ | ||||
Eric Stymiest ![]() | D | 32 | 1,228,085$ | 1,228,085$ | 1,228,085$ | 1,228,085$ | 1,228,085$ | ||||
Fernando Langlois ![]() | D | 22 | 1,998,999$ | 1,998,999$ | 1,998,999$ | 1,998,999$ | 1,998,999$ | ||||
Isiah Bruton ![]() | RW | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jacobus Adriaanse ![]() | C | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jari-Henri Hakkinen ![]() | G | 36 | 1,148,199$ | 1,148,199$ | |||||||
Jesse Podloski ![]() | RW | 22 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Jindrich Bojko ![]() | G | 22 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||
Kerby Shapley ![]() | D | 30 | 509,000$ | 509,000$ | |||||||
Leyman Shaeffer ![]() | C | 21 | 402,000$ | 402,000$ | |||||||
Pehr Tormi ![]() | C | 22 | 329,000$ | 329,000$ | 329,000$ | ||||||
Peyton Fennell ![]() | D | 31 | 684,000$ | 684,000$ | 684,000$ | ||||||
Roch Fingland ![]() | LW | 23 | 1,432,286$ | 1,432,286$ | 1,432,286$ | 1,432,286$ | 1,432,286$ | ||||
Russell Midensky ![]() | LW | 36 | 469,000$ | 469,000$ | |||||||
Wendel Mackaness ![]() | RW | 22 | 1,990,999$ | 1,990,999$ | 1,990,999$ | 1,990,999$ | 1,990,999$ | ||||
Yaroslav Kalyayev ![]() | D | 22 | 458,000$ | 458,000$ | 458,000$ | 458,000$ | |||||
Yefim Rezuk ![]() | LW | 23 | 1,569,398$ | 1,569,398$ | 1,569,398$ | 1,569,398$ | 1,569,398$ |
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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,522,740$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Rimouski | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
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 |
40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,522,740$ | 2,522,740$ | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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