

























GP | W | L | OT | Pts |
---|---|---|---|---|
0 | 0 | 0 | 0 | 0 |
GM: Wes Oddan | League Rank:17th | Arena: Chicoutimi Arena |
Conference: Eastern Conference | Conference Rank:6th | Capacity:3,000 |
Division: North East Division | Division Rank:2nd | Total Player Salaries:3,205,848$ |
Captain: Stanley Winchester | Last 10: 0-0-0 | |
Coach: Viktor Davoyan | Home: 0-0-0 | |
All-Time Record: 160 W - 123 L - 37 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 11 | C | 100.00 | 85 | 37 | 83 | 82 | 80 | 75 | 52 | 72 | 83 | 94 | 36 | 99 | 94 | 73 | 89 | 58 | 50 | 76 | 24 | 1,998,875$/2yrs | |||
![]() | 16 | C | 100.00 | 65 | 61 | 82 | 65 | 99 | 74 | 67 | 88 | 58 | 54 | 80 | 99 | 52 | 33 | 77 | 73 | 50 | 76 | 21 | 800,000$/2yrs | |||
![]() | 25 | C | 100.00 | 95 | 55 | 80 | 95 | 82 | 77 | 52 | 65 | 60 | 73 | 61 | 88 | 45 | 51 | 83 | 55 | 50 | 75 | 25 | 700,000$/1yrs | |||
![]() | 10 | RW | 100.00 | 84 | 51 | 75 | 91 | 85 | 84 | 62 | 95 | 81 | 55 | 41 | 87 | 54 | 82 | 96 | 61 | 50 | 75 | 24 | 1,855,500$/3yrs | |||
![]() | 81 | RW | 100.00 | 99 | 36 | 59 | 80 | 64 | 67 | 88 | 67 | 89 | 70 | 72 | 78 | 59 | 82 | 81 | 39 | 50 | 74 | 28 | 1,167,631$/1yrs | |||
![]() | 18 | LW | 100.00 | 90 | 51 | 67 | 87 | 77 | 86 | 66 | 71 | 80 | 74 | 76 | 46 | 84 | 68 | 95 | 15 | 50 | 74 | 32 | 719,000$/1yrs | |||
![]() | 76 | LW | 100.00 | 92 | 40 | 85 | 74 | 82 | 67 | 52 | 59 | 62 | 65 | 95 | 92 | 70 | 71 | 46 | 56 | 50 | 74 | 24 | 1,997,550$/2yrs | |||
![]() | 90 | RW | 100.00 | 93 | 56 | 54 | 87 | 83 | 80 | 75 | 70 | 60 | 36 | 92 | 72 | 45 | 37 | 34 | 56 | 50 | 72 | 24 | 1,888,975$/1yrs | |||
![]() | 56 | RW | 100.00 | 38 | 46 | 78 | 77 | 77 | 88 | 61 | 64 | 48 | 72 | 73 | 59 | 80 | 69 | 95 | 47 | 50 | 69 | 26 | 700,000$/1yrs | |||
![]() | 22 | D | 100.00 | 91 | 56 | 75 | 85 | 64 | 85 | 64 | 80 | 25 | 91 | 73 | 73 | 78 | 40 | 67 | 1 | 50 | 76 | 36 | 1,998,975$/1yrs | |||
![]() | 59 | D | 100.00 | 61 | 30 | 84 | 72 | 93 | 96 | 57 | 79 | 25 | 55 | 70 | 86 | 49 | 90 | 85 | 79 | 50 | 74 | 20 | 900,000$/2yrs | |||
![]() | 2 | D | 100.00 | 43 | 38 | 92 | 64 | 79 | 99 | 60 | 78 | 25 | 48 | 72 | 99 | 34 | 53 | 60 | 18 | 50 | 72 | 32 | 1,279,494$/1yrs | |||
![]() | 82 | D | 100.00 | 48 | 40 | 97 | 81 | 92 | 74 | 56 | 58 | 25 | 44 | 78 | 94 | 82 | 36 | 37 | 11 | 50 | 72 | 33 | 1,800,000$/1yrs | |||
![]() | 55 | D | 100.00 | 88 | 43 | 60 | 85 | 48 | 66 | 74 | 61 | 25 | 75 | 61 | 76 | 43 | 61 | 93 | 67 | 50 | 69 | 23 | 1,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 53 | 39 | 83 | 80 | 99 | 68 | 77 | 70 | 64 | 70 | 81 | 93 | 48 | 67 | 48 | 63 | 50 | 77 | 23 | 1,700,000$/5yrs | |||
![]() | 72 | C | 100.00 | 50 | 52 | 60 | 74 | 99 | 74 | 53 | 74 | 60 | 76 | 97 | 98 | 41 | 57 | 73 | 5 | 50 | 77 | 34 | 1,720,000$/1yrs | |||
![]() | 79 | RW | 100.00 | 87 | 65 | 85 | 92 | 51 | 68 | 61 | 64 | 54 | 60 | 85 | 67 | 74 | 37 | 55 | 43 | 50 | 69 | 26 | ||||
![]() | 36 | C | 100.00 | 37 | 34 | 71 | 88 | 56 | 75 | 75 | 78 | 74 | 72 | 82 | 25 | 64 | 92 | 58 | 49 | 50 | 68 | 26 | 700,000$/1yrs | |||
![]() | 38 | C | 100.00 | 91 | 46 | 63 | 90 | 45 | 76 | 48 | 67 | 99 | 81 | 60 | 28 | 93 | 64 | 62 | 48 | 50 | 66 | 26 | 700,000$/1yrs | |||
![]() | 57 | LW | 100.00 | 45 | 41 | 64 | 91 | 50 | 76 | 53 | 88 | 71 | 60 | 40 | 82 | 37 | 64 | 34 | 4 | 50 | 66 | 34 | 700,000$/1yrs | |||
![]() | 48 | LW | 100.00 | 69 | 36 | 62 | 66 | 70 | 52 | 64 | 75 | 77 | 58 | 68 | 66 | 58 | 66 | 97 | 58 | 50 | 65 | 23 | 700,000$/1yrs | |||
![]() | 58 | LW | 100.00 | 65 | 63 | 58 | 77 | 81 | 54 | 51 | 64 | 63 | 44 | 82 | 84 | 47 | 43 | 59 | 62 | 50 | 65 | 23 | 700,000$/1yrs | |||
![]() | 84 | LW | 100.00 | 37 | 51 | 59 | 72 | 32 | 62 | 48 | 59 | 87 | 87 | 88 | 43 | 62 | 42 | 57 | 73 | 50 | 63 | 22 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 43 | 67 | 61 | 75 | 75 | 68 | 76 | 87 | 74 | 88 | 89 | 63 | 58 | 73 | 73 | 62 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
![]() | 29 | D | 100.00 | 87 | 63 | 65 | 93 | 73 | 66 | 50 | 80 | 25 | 50 | 46 | 85 | 71 | 82 | 44 | 51 | 50 | 71 | 24 | 700,000$/1yrs | |||
![]() | 61 | D | 100.00 | 37 | 50 | 57 | 84 | 49 | 56 | 64 | 66 | 25 | 44 | 55 | 85 | 44 | 69 | 49 | 66 | 50 | 60 | 22 | 700,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 74 | 100.00 | 52 | 76 | 74 | 99 | 95 | 76 | 65 | 58 | 89 | 61 | 85 | 52 | 30 | 65 | 50 | 74 | 22 | 1,297,500$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 1 | 100.00 | 83 | 58 | 63 | 86 | 95 | 84 | 63 | 54 | 73 | 89 | 76 | 51 | 42 | 6 | 50 | 75 | 33 | 1,935,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Viktor Davoyan | 43 | 98 | 62 | 87 | 66 | 52 | 64 | RUS | 40 | 1 | 400,000$ |
General Manager | Wes Oddan |
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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 |
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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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Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|
Abel Sznajder ![]() | D | 33 | 1,800,000$ | 1,800,000$ | |||||||
Anders Fahlen ![]() | LW | 22 | 700,000$ | 700,000$ | |||||||
Arno Rech ![]() | C | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Daemon Marion ![]() | G | 22 | 1,297,500$ | 1,297,500$ | 1,297,500$ | ||||||
Dru Mahovlich ![]() | C | 34 | 1,720,000$ | 1,720,000$ | |||||||
Ellerry Bauder ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Ilkka-Petteri Paasi ![]() | D | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Jeoffrey Jeannin ![]() | C | 26 | 700,000$ | 700,000$ | |||||||
Jerry Malmkvist ![]() | LW | 23 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||
Johnny Randell ![]() | LW | 34 | 700,000$ | 700,000$ | |||||||
K.C. Bachman ![]() | D | 32 | 1,279,494$ | 1,279,494$ | |||||||
Kolter Galbraith ![]() | LW | 32 | 719,000$ | 719,000$ | |||||||
Krister Theander ![]() | C | 26 | 700,000$ | 700,000$ | |||||||
Leland Matyas ![]() | D | 36 | 1,998,975$ | 1,998,975$ | |||||||
Matvey Gaydamakin ![]() | RW | 26 | 0$ | 0$ | |||||||
Maximilian Federmann ![]() | D | 24 | 700,000$ | 700,000$ | |||||||
Mikki Juutinen ![]() | RW | 24 | 1,855,500$ | 1,855,500$ | 1,855,500$ | 1,855,500$ | |||||
Premysl Pecha ![]() | D | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Remi Northey ![]() | RW | 28 | 1,167,631$ | 1,167,631$ | |||||||
Sauat Akchulakov ![]() | LW | 23 | 700,000$ | 700,000$ | |||||||
Shayne Maclaverty ![]() | LW | 23 | 700,000$ | 700,000$ | |||||||
Shayne Van ![]() | RW | 26 | 700,000$ | 700,000$ | |||||||
Stanley Winchester ![]() | C | 24 | 1,998,875$ | 1,998,875$ | 1,998,875$ | ||||||
Svyatoslav Nikushkin ![]() | G | 33 | 1,935,000$ | 1,935,000$ | 1,935,000$ | ||||||
Svyatoslav Petrakov ![]() | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Tony Villeneuve ![]() | D | 22 | 700,000$ | 700,000$ | |||||||
Tyrel Lambert ![]() | RW | 24 | 1,888,975$ | 1,888,975$ | |||||||
Viktor Lovyagin ![]() | LW | 24 | 1,997,550$ | 1,997,550$ | 1,997,550$ |
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 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,205,848$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Chicoutimi | |
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 |
3,205,848$ | 3,205,848$ | 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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