![](images/LogoTeams/Pro/0.png)
![](images/LogoTeams/Pro/22.png)
![](images/LogoTeams/Pro/7.png)
![](images/LogoTeams/Pro/3.png)
![](images/LogoTeams/Pro/21.png)
![](images/LogoTeams/Pro/8.png)
![](images/LogoTeams/Pro/13.png)
![](images/LogoTeams/Pro/9.png)
![](images/LogoTeams/Pro/15.png)
![](images/LogoTeams/Pro/23.png)
![](images/LogoTeams/Pro/14.png)
![](images/LogoTeams/Pro/17.png)
![](images/LogoTeams/Pro/1.png)
![](images/LogoTeams/Pro/19.png)
![](images/LogoTeams/Pro/18.png)
![](images/LogoTeams/Pro/6.png)
![](images/LogoTeams/Pro/12.png)
![](images/LogoTeams/Pro/11.png)
![](images/LogoTeams/Pro/4.png)
![](images/LogoTeams/Pro/10.png)
![](images/LogoTeams/Pro/16.png)
![](images/LogoTeams/Pro/20.png)
![](images/LogoTeams/Pro/2.png)
![](images/LogoTeams/Pro/24.png)
![](images/LogoTeams/Pro/5.png)
![](images/NJHL.png)
GP | W | L | OT | Pts |
---|---|---|---|---|
0 | 0 | 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 70 | LW | 100.00 | 37 | 32 | 61 | 91 | 70 | 81 | 86 | 83 | 88 | 89 | 57 | 68 | 93 | 84 | 79 | 67 | 50 | 76 | 21 | 800,000$/2yrs | |||
![]() | 56 | LW | 100.00 | 53 | 55 | 75 | 83 | 71 | 89 | 87 | 88 | 67 | 53 | 44 | 98 | 65 | 97 | 84 | 18 | 50 | 74 | 32 | 1,100,000$/1yrs | |||
![]() | 79 | LW | 100.00 | 41 | 51 | 85 | 63 | 62 | 92 | 73 | 83 | 81 | 96 | 71 | 44 | 84 | 87 | 57 | 78 | 50 | 74 | 21 | 800,000$/2yrs | |||
![]() | 82 | C | 100.00 | 64 | 61 | 71 | 97 | 93 | 84 | 63 | 80 | 71 | 39 | 94 | 45 | 72 | 88 | 58 | 1 | 50 | 72 | 37 | 989,000$/1yrs | |||
![]() | 65 | RW | 100.00 | 84 | 69 | 92 | 65 | 57 | 72 | 73 | 71 | 85 | 68 | 89 | 38 | 54 | 37 | 52 | 1 | 50 | 70 | 37 | 914,000$/1yrs | |||
![]() | 28 | D | 100.00 | 34 | 61 | 72 | 68 | 72 | 86 | 84 | 90 | 25 | 72 | 75 | 90 | 36 | 86 | 84 | 65 | 50 | 74 | 22 | 900,000$/2yrs | |||
![]() | 22 | D | 100.00 | 54 | 38 | 63 | 74 | 84 | 98 | 59 | 71 | 25 | 84 | 43 | 87 | 74 | 97 | 76 | 45 | 50 | 73 | 26 | 728,000$/3yrs | |||
![]() | 2 | D | 100.00 | 96 | 37 | 65 | 55 | 62 | 58 | 85 | 94 | 25 | 86 | 52 | 78 | 76 | 74 | 82 | 50 | 50 | 71 | 25 | 872,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 52 | C | 100.00 | 78 | 45 | 62 | 93 | 71 | 69 | 61 | 77 | 79 | 70 | 89 | 66 | 50 | 43 | 98 | 46 | 50 | 74 | 27 | 648,000$/1yrs | |||
![]() | 80 | C | 100.00 | 45 | 42 | 83 | 95 | 76 | 79 | 50 | 90 | 96 | 57 | 42 | 97 | 80 | 41 | 44 | 6 | 50 | 73 | 33 | 1,220,000$/2yrs | |||
![]() | 90 | LW | 100.00 | 78 | 50 | 83 | 88 | 95 | 69 | 87 | 56 | 70 | 48 | 65 | 78 | 70 | 53 | 78 | 29 | 50 | 73 | 29 | 679,000$/1yrs | |||
![]() | 87 | C | 100.00 | 44 | 62 | 83 | 62 | 57 | 67 | 58 | 62 | 90 | 86 | 93 | 94 | 80 | 53 | 81 | 61 | 50 | 73 | 22 | 1,950,000$/3yrs | |||
![]() | 88 | RW | 100.00 | 76 | 66 | 67 | 74 | 75 | 73 | 85 | 62 | 95 | 61 | 97 | 46 | 50 | 46 | 55 | 43 | 50 | 72 | 27 | 585,000$/2yrs | |||
![]() | 84 | RW | 100.00 | 73 | 60 | 82 | 63 | 80 | 84 | 58 | 65 | 99 | 82 | 55 | 51 | 97 | 50 | 92 | 30 | 50 | 71 | 29 | 424,000$/1yrs | |||
![]() | 53 | LW | 100.00 | 34 | 65 | 74 | 86 | 50 | 64 | 91 | 84 | 56 | 65 | 53 | 65 | 37 | 52 | 97 | 35 | 50 | 67 | 29 | 206,000$/1yrs | |||
![]() | 59 | RW | 100.00 | 77 | 45 | 67 | 76 | 91 | 60 | 72 | 58 | 82 | 50 | 85 | 35 | 77 | 44 | 75 | 58 | 50 | 66 | 23 | ||||
![]() | 16 | D | 100.00 | 65 | 62 | 63 | 93 | 74 | 85 | 85 | 81 | 25 | 74 | 48 | 71 | 49 | 78 | 80 | 76 | 50 | 75 | 20 | 1,700,000$/5yrs | |||
![]() | 14 | D | 100.00 | 93 | 41 | 67 | 62 | 81 | 62 | 50 | 67 | 25 | 80 | 69 | 90 | 52 | 35 | 36 | 52 | 50 | 73 | 24 | 1,212,000$/3yrs | |||
![]() | 6 | D | 100.00 | 92 | 39 | 94 | 91 | 70 | 92 | 69 | 83 | 25 | 58 | 48 | 61 | 76 | 46 | 61 | 29 | 50 | 73 | 30 | 904,000$/3yrs | |||
![]() | 8 | D | 100.00 | 68 | 70 | 78 | 80 | 74 | 54 | 50 | 79 | 25 | 83 | 63 | 91 | 48 | 98 | 95 | 1 | 50 | 73 | 35 | 1,300,000$/1yrs | |||
![]() | 12 | D | 100.00 | 49 | 64 | 73 | 91 | 93 | 62 | 50 | 60 | 25 | 67 | 62 | 81 | 79 | 42 | 41 | 13 | 50 | 71 | 33 | 389,000$/1yrs | |||
![]() | 18 | D | 100.00 | 92 | 63 | 65 | 73 | 59 | 93 | 50 | 89 | 25 | 62 | 73 | 63 | 43 | 68 | 51 | 18 | 50 | 71 | 32 | 654,000$/3yrs | |||
![]() | 26 | D | 100.00 | 60 | 58 | 76 | 53 | 70 | 60 | 89 | 97 | 25 | 39 | 68 | 55 | 69 | 94 | 52 | 7 | 50 | 64 | 34 | 279,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 38 | 100.00 | 73 | 66 | 63 | 83 | 52 | 72 | 80 | 65 | 83 | 71 | 52 | 76 | 91 | 30 | 50 | 71 | 30 | 1,325,000$/1yrs |
![]() | 32 | 100.00 | 83 | 67 | 74 | 66 | 64 | 53 | 77 | 82 | 66 | 82 | 60 | 93 | 49 | 58 | 50 | 71 | 24 | 1,497,500$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 35 | 100.00 | 52 | 92 | 89 | 71 | 88 | 58 | 82 | 69 | 80 | 51 | 80 | 56 | 40 | 1 | 50 | 73 | 34 | 1,530,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Julian Trudel | 61 | 32 | 89 | 49 | 98 | 77 | 61 | CAN | 47 | 1 | 200,000$ |
General Manager | Alexander Phillips |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andres Hisey ![]() | C | 37 | 989,000$ | 989,000$ | |||||||
Atley Hebert ![]() | G | 24 | 1,497,500$ | 1,497,500$ | 1,497,500$ | 1,497,500$ | |||||
Callen Dreeshen ![]() | D | 24 | 1,212,000$ | 1,212,000$ | 1,212,000$ | 1,212,000$ | |||||
Carsen Makowsky ![]() | LW | 29 | 206,000$ | 206,000$ | |||||||
Daxton Wentworth ![]() | D | 33 | 389,000$ | 389,000$ | |||||||
Dermot Bourne ![]() | RW | 27 | 585,000$ | 585,000$ | 585,000$ | ||||||
Dominik Mireault ![]() | G | 34 | 1,530,000$ | 1,530,000$ | |||||||
Dru Pearkes ![]() | C | 27 | 648,000$ | 648,000$ | |||||||
Igor Karsenev ![]() | LW | 32 | 1,100,000$ | 1,100,000$ | |||||||
Igor Zheldakov ![]() | D | 20 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||
Jaki Krabbe ![]() | RW | 23 | 0$ | 0$ | |||||||
Johnathon Strachan ![]() | G | 30 | 1,325,000$ | 1,325,000$ | |||||||
Johnny Leclair ![]() | D | 25 | 872,000$ | 872,000$ | 872,000$ | ||||||
Johnny Weinberger ![]() | D | 35 | 1,300,000$ | 1,300,000$ | |||||||
Keeley Lamp ![]() | D | 32 | 654,000$ | 654,000$ | 654,000$ | 654,000$ | |||||
Killian Cathcart ![]() | RW | 29 | 424,000$ | 424,000$ | |||||||
Leon Kwok ![]() | LW | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Miihkali Haataja ![]() | C | 22 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | |||||
Nils Lehman ![]() | LW | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Oskar Dudrov ![]() | D | 30 | 904,000$ | 904,000$ | 904,000$ | 904,000$ | |||||
Pierre-Yves Foligno ![]() | RW | 37 | 914,000$ | 914,000$ | |||||||
Ruslan Sarvarov ![]() | C | 33 | 1,220,000$ | 1,220,000$ | 1,220,000$ | ||||||
Tikhon Lemyasev ![]() | D | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tom Arpagaus ![]() | D | 34 | 279,000$ | 279,000$ | |||||||
Vince Herriot ![]() | LW | 29 | 679,000$ | 679,000$ | |||||||
Zane Haddix ![]() | D | 26 | 728,000$ | 728,000$ | 728,000$ | 728,000$ |
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 |
2,360,550$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Traverse City | |
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 |
2,360,550$ | 2,360,550$ | 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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