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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:2,684,532$ |
Captain: Brenden Campbell | Last 10: 0-0-0 | |
Coach: Mehdi Winberg | Home: 0-0-0 | |
All-Time Record: 84 W - 55 L - 21 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 49 | LW | 100.00 | 96 | 58 | 60 | 66 | 70 | 76 | 53 | 85 | 87 | 54 | 74 | 100 | 79 | 79 | 39 | 61 | 50 | 73 | 23 | 1,890,000$/1yrs | |||
![]() | 76 | LW | 100.00 | 90 | 40 | 82 | 74 | 82 | 65 | 50 | 59 | 62 | 65 | 94 | 89 | 70 | 71 | 46 | 65 | 50 | 73 | 22 | 1,997,550$/4yrs | |||
![]() | 54 | RW | 100.00 | 92 | 44 | 68 | 87 | 74 | 73 | 60 | 92 | 95 | 41 | 52 | 89 | 52 | 76 | 49 | 43 | 50 | 72 | 26 | 1,567,500$/1yrs | |||
![]() | 10 | RW | 100.00 | 89 | 48 | 70 | 69 | 75 | 78 | 52 | 94 | 74 | 41 | 92 | 81 | 38 | 67 | 36 | 1 | 50 | 72 | 36 | 1,004,000$/1yrs | |||
![]() | 90 | RW | 100.00 | 90 | 56 | 56 | 86 | 82 | 78 | 73 | 70 | 60 | 36 | 92 | 68 | 45 | 37 | 34 | 65 | 50 | 71 | 22 | 1,888,975$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 27 | LW | 100.00 | 43 | 58 | 66 | 89 | 96 | 83 | 68 | 93 | 57 | 67 | 82 | 52 | 71 | 61 | 75 | 1 | 50 | 75 | 35 | 1,725,840$/1yrs | |||
![]() | 13 | RW | 100.00 | 55 | 63 | 70 | 80 | 58 | 57 | 89 | 99 | 86 | 96 | 44 | 70 | 34 | 40 | 69 | 9 | 50 | 75 | 34 | 429,000$/1yrs | |||
![]() | 11 | C | 100.00 | 83 | 37 | 81 | 79 | 77 | 73 | 50 | 70 | 81 | 92 | 36 | 93 | 93 | 73 | 89 | 65 | 50 | 74 | 22 | 1,998,875$/4yrs | |||
![]() | 25 | C | 100.00 | 93 | 55 | 80 | 94 | 80 | 74 | 50 | 64 | 60 | 72 | 60 | 87 | 45 | 51 | 83 | 61 | 50 | 73 | 23 | 299,000$/3yrs | |||
![]() | 8 | LW | 100.00 | 89 | 51 | 68 | 88 | 76 | 84 | 64 | 69 | 80 | 72 | 76 | 46 | 84 | 68 | 95 | 23 | 50 | 73 | 30 | 719,000$/3yrs | |||
![]() | 18 | C | 100.00 | 37 | 38 | 98 | 94 | 92 | 67 | 65 | 62 | 73 | 88 | 78 | 36 | 40 | 65 | 72 | 26 | 50 | 73 | 30 | 1,115,950$/2yrs | |||
![]() | 79 | RW | 100.00 | 86 | 65 | 82 | 92 | 51 | 67 | 60 | 64 | 54 | 60 | 85 | 66 | 74 | 37 | 55 | 53 | 50 | 69 | 24 | 291,667$/2yrs | |||
![]() | 56 | RW | 100.00 | 39 | 46 | 78 | 77 | 77 | 88 | 61 | 64 | 48 | 74 | 73 | 60 | 80 | 69 | 95 | 58 | 50 | 69 | 24 | 475,000$/3yrs | |||
![]() | 57 | LW | 100.00 | 51 | 41 | 64 | 91 | 54 | 82 | 55 | 88 | 71 | 64 | 44 | 84 | 39 | 64 | 34 | 13 | 50 | 69 | 32 | 589,000$/3yrs | |||
![]() | 16 | C | 100.00 | 38 | 34 | 71 | 88 | 57 | 77 | 76 | 78 | 72 | 73 | 84 | 25 | 64 | 92 | 58 | 57 | 50 | 68 | 24 | 297,500$/3yrs | |||
![]() | 37 | LW | 100.00 | 66 | 35 | 90 | 93 | 56 | 79 | 65 | 66 | 65 | 67 | 38 | 75 | 45 | 88 | 57 | 54 | 50 | 68 | 24 | 302,000$/1yrs | |||
![]() | 26 | C | 100.00 | 93 | 46 | 63 | 90 | 47 | 80 | 50 | 67 | 97 | 83 | 62 | 30 | 93 | 64 | 62 | 60 | 50 | 68 | 24 | 308,000$/3yrs | |||
![]() | 48 | LW | 100.00 | 70 | 36 | 62 | 65 | 71 | 55 | 65 | 75 | 77 | 59 | 69 | 67 | 58 | 66 | 97 | 67 | 50 | 66 | 21 | 312,500$/3yrs | |||
![]() | 58 | LW | 100.00 | 64 | 63 | 58 | 77 | 81 | 53 | 50 | 63 | 63 | 44 | 83 | 84 | 46 | 43 | 59 | 71 | 50 | 65 | 21 | 234,000$/3yrs | |||
![]() | 84 | LW | 100.00 | 39 | 51 | 59 | 72 | 34 | 66 | 50 | 58 | 87 | 89 | 90 | 45 | 62 | 42 | 57 | 79 | 50 | 64 | 20 | 358,000$/3yrs | |||
![]() | 44 | D | 100.00 | 82 | 77 | 94 | 59 | 72 | 90 | 57 | 85 | 25 | 57 | 49 | 95 | 76 | 65 | 83 | 1 | 50 | 75 | 35 | 1,997,775$/1yrs | |||
![]() | 46 | D | 100.00 | 70 | 61 | 67 | 84 | 77 | 61 | 50 | 97 | 25 | 68 | 52 | 81 | 49 | 79 | 79 | 19 | 50 | 71 | 32 | 444,000$/2yrs | |||
![]() | 2 | D | 100.00 | 86 | 63 | 65 | 93 | 73 | 66 | 50 | 80 | 25 | 50 | 45 | 85 | 71 | 82 | 44 | 62 | 50 | 71 | 22 | 229,000$/3yrs | |||
![]() | 4 | D | 100.00 | 41 | 49 | 62 | 88 | 96 | 58 | 50 | 90 | 25 | 67 | 46 | 80 | 85 | 59 | 80 | 27 | 50 | 69 | 29 | 308,750$/1yrs | |||
![]() | 45 | D | 100.00 | 65 | 49 | 86 | 96 | 72 | 75 | 63 | 68 | 25 | 38 | 39 | 77 | 34 | 74 | 55 | 5 | 50 | 68 | 35 | 644,000$/1yrs | |||
![]() | 61 | D | 100.00 | 39 | 50 | 57 | 85 | 53 | 60 | 66 | 66 | 25 | 46 | 54 | 87 | 44 | 69 | 49 | 75 | 50 | 62 | 20 | 343,000$/3yrs | |||
![]() | 34 | D | 100.00 | 90 | 54 | 55 | 82 | 32 | 82 | 50 | 69 | 25 | 53 | 36 | 69 | 76 | 48 | 65 | 87 | 50 | 62 | 19 | 947,600$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 67 | 76 | 54 | 92 | 91 | 98 | 66 | 70 | 74 | 76 | 53 | 65 | 47 | 65 | 50 | 76 | 22 | 1,988,500$/4yrs |
![]() | 30 | 100.00 | 75 | 76 | 76 | 79 | 51 | 84 | 54 | 75 | 92 | 73 | 52 | 74 | 92 | 60 | 50 | 74 | 23 | 2,090,000$/4yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Mehdi Winberg | 54 | 60 | 90 | 38 | 93 | 89 | 70 | SWE | 64 | 1 | 750,000$ |
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 |
---|
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 | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksandr Krutikov ![]() | RW | 34 | 429,000$ | 429,000$ | |||||||
Anders Fahlen ![]() | LW | 20 | 358,000$ | 358,000$ | 358,000$ | 358,000$ | |||||
Brenden Campbell ![]() | D | 35 | 1,997,775$ | 1,997,775$ | |||||||
Brinley Terrins ![]() | RW | 36 | 1,004,000$ | 1,004,000$ | |||||||
Burke Shively ![]() | D | 29 | 308,750$ | 308,750$ | |||||||
Burl Mckeoron ![]() | RW | 26 | 1,567,500$ | 1,567,500$ | |||||||
Derek Bhungal ![]() | G | 23 | 2,090,000$ | 2,090,000$ | 2,090,000$ | 2,090,000$ | 2,090,000$ | ||||
Ellerry Bauder ![]() | C | 23 | 299,000$ | 299,000$ | 299,000$ | 299,000$ | |||||
Georghiu Dragoi ![]() | D | 32 | 444,000$ | 444,000$ | 444,000$ | ||||||
Glenn Manion ![]() | D | 35 | 644,000$ | 644,000$ | |||||||
Jeoffrey Jeannin ![]() | C | 24 | 308,000$ | 324,000$ | 291,000$ | 260,000$ | |||||
Johnny Randell ![]() | LW | 32 | 589,000$ | 589,000$ | 589,000$ | 589,000$ | |||||
Kolter Galbraith ![]() | LW | 30 | 719,000$ | 719,000$ | 719,000$ | 719,000$ | |||||
Krister Theander ![]() | C | 24 | 297,500$ | 313,000$ | 282,000$ | 250,000$ | |||||
Matvey Gaydamakin ![]() | RW | 24 | 291,667$ | 282,000$ | 250,000$ | ||||||
Maximilian Federmann ![]() | D | 22 | 229,000$ | 229,000$ | 229,000$ | 229,000$ | |||||
Nicolas Adcock ![]() | LW | 23 | 1,890,000$ | 1,890,000$ | |||||||
Otto Vanousek ![]() | LW | 24 | 302,000$ | 302,000$ | |||||||
Paeng Jeong-U ![]() | LW | 35 | 1,725,840$ | 1,725,840$ | |||||||
Patrick Ehn ![]() | C | 30 | 1,115,950$ | 1,115,950$ | 1,115,950$ | ||||||
Patrick Richter ![]() | G | 22 | 1,988,500$ | 1,988,500$ | 1,988,500$ | 1,988,500$ | 1,988,500$ | ||||
Sauat Akchulakov ![]() | LW | 21 | 312,500$ | 329,000$ | 296,000$ | 263,000$ | |||||
Shayne Maclaverty ![]() | LW | 21 | 234,000$ | 245,000$ | 221,000$ | 200,000$ | |||||
Shayne Van ![]() | RW | 24 | 475,000$ | 475,000$ | 475,000$ | 475,000$ | |||||
Stanley Winchester ![]() | C | 22 | 1,998,875$ | 1,998,875$ | 1,998,875$ | 1,998,875$ | 1,998,875$ | ||||
Tony Villeneuve ![]() | D | 20 | 343,000$ | 343,000$ | 343,000$ | 343,000$ | |||||
Tristan Berger ![]() | D | 19 | 947,600$ | 947,600$ | |||||||
Tyrel Lambert ![]() | RW | 22 | 1,888,975$ | 1,888,975$ | 1,888,975$ | 1,888,975$ | |||||
Viktor Lovyagin ![]() | LW | 22 | 1,997,550$ | 1,997,550$ | 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 |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,684,532$ | 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 |
2,684,532$ | 2,679,598$ | 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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