![](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 |
GM: Matt Heitto | League Rank:16th | Arena: The Back Forty |
Conference: Southern Conference | Conference Rank:10th | Capacity:17,000 |
Division: Mid West | Division Rank:3rd | Total Player Salaries:43,129,000$ |
Captain: Joe Sjoblom | Last 10: 0-0-0 | Bank Account:44,566,982$ |
Coach: Kris Lemieux | Home: 0-0-0 | |
All-Time Record: 86 W - 57 L - 17 OTL | Away: 0-0-0 | |
# | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | RW | 100.00 | 96 | 50 | 86 | 91 | 87 | 67 | 83 | 96 | 93 | 67 | 80 | 95 | 62 | 63 | 50 | 15 | 84 | 33 | 4,013,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 47 | 49 | 82 | 95 | 99 | 69 | 61 | 76 | 99 | 99 | 84 | 72 | 46 | 95 | 48 | 33 | 82 | 28 | 1,335,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 74 | 52 | 80 | 67 | 93 | 83 | 50 | 91 | 93 | 82 | 84 | 99 | 85 | 44 | 71 | 62 | 81 | 24 | 2,085,000$/1yrs | ||||
0 | ![]() | C | 100.00 | 41 | 47 | 76 | 88 | 95 | 95 | 73 | 77 | 97 | 90 | 80 | 43 | 51 | 78 | 76 | 75 | 79 | 20 | 2,460,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 96 | 69 | 72 | 72 | 94 | 83 | 90 | 75 | 72 | 72 | 47 | 94 | 95 | 83 | 42 | 4 | 78 | 36 | 1,689,000$/1yrs | ||||
0 | ![]() | C | 100.00 | 96 | 35 | 94 | 64 | 74 | 86 | 87 | 67 | 84 | 70 | 66 | 97 | 78 | 35 | 64 | 54 | 78 | 24 | 1,677,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 97 | 64 | 97 | 61 | 84 | 65 | 75 | 63 | 54 | 92 | 77 | 98 | 61 | 91 | 74 | 41 | 78 | 27 | 2,913,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 96 | 56 | 86 | 74 | 32 | 78 | 67 | 66 | 90 | 86 | 76 | 98 | 83 | 95 | 70 | 1 | 76 | 36 | 2,813,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 99 | 56 | 60 | 99 | 99 | 83 | 70 | 75 | 25 | 84 | 80 | 99 | 93 | 76 | 68 | 22 | 87 | 30 | 3,000,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 66 | 63 | 72 | 92 | 99 | 67 | 89 | 67 | 25 | 89 | 81 | 66 | 56 | 99 | 68 | 40 | 81 | 28 | 815,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 83 | 44 | 61 | 99 | 92 | 81 | 91 | 78 | 25 | 74 | 64 | 74 | 62 | 86 | 95 | 34 | 80 | 29 | 880,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 94 | 42 | 77 | 66 | 76 | 55 | 78 | 92 | 25 | 72 | 45 | 91 | 64 | 57 | 36 | 1 | 74 | 35 | 1,164,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 70 | 37 | 75 | 91 | 64 | 65 | 92 | 95 | 25 | 49 | 54 | 83 | 62 | 41 | 51 | 56 | 72 | 23 | 1,513,000$/4yrs | ||||
0 | ![]() | D | 100.00 | 76 | 43 | 82 | 95 | 50 | 69 | 79 | 75 | 25 | 48 | 51 | 99 | 35 | 84 | 34 | 72 | 72 | 21 | 1,720,000$/1yrs | ||||
0 | ![]() | RW | 100.00 | 92 | 46 | 66 | 95 | 92 | 94 | 90 | 68 | 56 | 95 | 56 | 97 | 39 | 46 | 93 | 6 | 84 | 34 | 3,200,000$/1yrs | ||||
0 | ![]() | LW | 100.00 | 85 | 58 | 61 | 86 | 78 | 95 | 59 | 94 | 53 | 60 | 85 | 96 | 61 | 93 | 37 | 12 | 78 | 34 | 3,013,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 88 | 44 | 82 | 63 | 62 | 94 | 91 | 69 | 93 | 86 | 46 | 83 | 36 | 98 | 94 | 59 | 77 | 23 | 1,913,000$/4yrs | ||||
0 | ![]() | LW | 100.00 | 84 | 44 | 54 | 78 | 78 | 97 | 50 | 75 | 87 | 92 | 89 | 55 | 49 | 71 | 59 | 64 | 77 | 22 | 900,000$/2yrs | ||||
TEAM AVERAGE | 100.00 | 82 | 50 | 76 | 82 | 80 | 79 | 76 | 78 | 62 | 78 | 69 | 86 | 62 | 74 | 63 | 36 | 79 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 100.00 | 57 | 95 | 50 | 85 | 86 | 56 | 91 | 94 | 95 | 90 | 79 | 30 | 85 | 67 | 80 | 22 | 3,313,000$/5yrs |
0 | ![]() | 100.00 | 92 | 77 | 51 | 80 | 58 | 54 | 96 | 82 | 81 | 87 | 68 | 52 | 85 | 14 | 76 | 33 | 2,713,000$/2yrs |
TEAM AVERAGE | 100.00 | 75 | 86 | 51 | 83 | 72 | 55 | 94 | 88 | 88 | 89 | 74 | 41 | 85 | 41 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Kris Lemieux | 64 | 95 | 87 | 48 | 34 | 70 | 57 | CAN | 66 | 1 | 613,000$ |
General Manager | Matt Heitto |
---|
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 |
---|
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 |
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 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 47,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
Contracts | 40/55 |
LTIR Players | 0 |
Razorbacks Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrien Karygiannis ![]() | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Aki-Ville Lallo ![]() | LW | 27 | 2,913,000$ | 2,913,000$ | 2,913,000$ | 2,913,000$ | |||||
Barron Dowler ![]() | G | 22 | 3,313,000$ | 3,313,000$ | 3,313,000$ | 3,313,000$ | 3,313,000$ | 3,313,000$ | |||
Chris Neurauter ![]() | C | 28 | 1,335,000$ | 1,335,000$ | |||||||
Craig Lythgoe ![]() | D | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Daniil Mirnov ![]() | RW | 23 | 1,913,000$ | 1,913,000$ | 1,913,000$ | 1,913,000$ | 1,913,000$ | ||||
Dayn Yablonski ![]() | D | 23 | 1,513,000$ | 1,513,000$ | 1,513,000$ | 1,513,000$ | 1,513,000$ | ||||
Dolf Imseng ![]() | D | 28 | 815,000$ | 815,000$ | 815,000$ | 815,000$ | |||||
Hugh Byerly ![]() | C | 36 | 2,813,000$ | 2,813,000$ | |||||||
Joe Sjoblom ![]() | C | 20 | 2,460,000$ | 2,460,000$ | 2,460,000$ | ||||||
Jordie Daley ![]() | RW | 33 | 4,013,000$ | 4,013,000$ | 4,013,000$ | ||||||
Joska Laatikainen ![]() | G | 33 | 2,713,000$ | 2,713,000$ | 2,713,000$ | ||||||
Leighton Tendler ![]() | C | 24 | 1,677,000$ | 1,677,000$ | |||||||
Ludvik Kemppainen ![]() | RW | 36 | 1,689,000$ | 1,689,000$ | |||||||
Randal Plaitis ![]() | D | 29 | 880,000$ | 880,000$ | |||||||
Rietrikki Keveri ![]() | RW | 34 | 3,200,000$ | 3,200,000$ | |||||||
Robert Haag ![]() | LW | 34 | 3,013,000$ | 3,013,000$ | 3,013,000$ | ||||||
Sergey Voyevodin ![]() | D | 21 | 1,720,000$ | 1,720,000$ | |||||||
Thomas Gillman ![]() | LW | 24 | 2,085,000$ | 2,085,000$ | |||||||
Yulian Mozgo ![]() | D | 35 | 1,164,000$ | 1,164,000$ | |||||||
TOTAL | 43,129,000$ | 26,566,000$ | 13,467,000$ | 6,739,000$ | 3,313,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adler OFlannery ![]() | LW | 29 | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | |||||
Adrien Flood ![]() | D | 29 | 765,800$ | 765,800$ | 765,800$ | 765,800$ | |||||
Arsen Komlev ![]() | D | 32 | 674,000$ | 674,000$ | 674,000$ | 674,000$ | |||||
Bernt-Erik Takkinen ![]() | LW | 34 | 1,113,000$ | 1,113,000$ | 1,113,000$ | ||||||
Coltyn Bergevin ![]() | D | 22 | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | |||
Conrad Montebruno ![]() | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Curt Daae ![]() | D | 27 | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||||
Darcy Piecharka ![]() | LW | 20 | 0$ | 0$ | |||||||
Darren Schmautz ![]() | D | 28 | 579,000$ | 579,000$ | 579,000$ | ||||||
Francois Prigione ![]() | D | 21 | 1,080,000$ | 1,080,000$ | |||||||
Haden Skiffington ![]() | C | 21 | 282,000$ | 282,000$ | 282,000$ | 282,000$ | |||||
Jaxson Parker ![]() | D | 28 | 1,613,000$ | 1,613,000$ | 1,613,000$ | ||||||
Jean-Daniel Desormeaux ![]() | G | 25 | 1,213,000$ | 1,213,000$ | 1,213,000$ | 1,213,000$ | |||||
Jeff Biagi ![]() | LW | 27 | 515,000$ | 515,000$ | 515,000$ | ||||||
Jesse Reino ![]() | G | 23 | 1,913,000$ | 1,913,000$ | 1,913,000$ | 1,913,000$ | 1,913,000$ | ||||
Kim Norrman ![]() | RW | 26 | 977,000$ | 977,000$ | |||||||
Radford Bostrom ![]() | RW | 35 | 484,000$ | 484,000$ | |||||||
Roy Sehovic ![]() | RW | 20 | 512,000$ | 512,000$ | 512,000$ | 512,000$ | |||||
Thurman Laplante ![]() | C | 35 | 904,000$ | 904,000$ | |||||||
Winston Derksen ![]() | D | 22 | 1,213,000$ | 1,213,000$ | 1,213,000$ | 1,213,000$ | |||||
Yakov Gaydey ![]() | RW | 33 | 1,213,000$ | 1,213,000$ | 1,213,000$ | ||||||
TOTAL | 21,276,800 $ | 17,831,800$ | 10,198,800$ | 3,726,000$ | 1,813,000$ | 0$ | 0$ | 0$ |
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 |
43,129,000$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | The Back Forty | |
City | Saint Paul | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
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$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
43,129,000$ | 43,129,000$ | 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$ | 44,566,982$ | 44,566,982$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
24 yrs | LW | 74 | 52 | 80 | 67 | 93 | 83 | 50 | 91 | 93 | 82 | 84 | 99 | 85 | 44 | 71 | 62 | 81 | |
27 yrs | LW | 97 | 64 | 97 | 61 | 84 | 65 | 75 | 63 | 54 | 92 | 77 | 98 | 61 | 91 | 74 | 41 | 78 | |
34 yrs | LW | 85 | 58 | 61 | 86 | 78 | 95 | 59 | 94 | 53 | 60 | 85 | 96 | 61 | 93 | 37 | 12 | 78 | |
22 yrs | LW | 84 | 44 | 54 | 78 | 78 | 97 | 50 | 75 | 87 | 92 | 89 | 55 | 49 | 71 | 59 | 64 | 77 | |
34 yrs | LW | 99 | 43 | 83 | 60 | 88 | 74 | 82 | 81 | 91 | 86 | 61 | 51 | 67 | 34 | 35 | 6 | 76 | |
22 yrs | LW | 40 | 46 | 61 | 91 | 71 | 64 | 75 | 92 | 47 | 94 | 70 | 78 | 61 | 81 | 29 | 69 | 76 | |
27 yrs | LW | 77 | 50 | 93 | 98 | 84 | 60 | 89 | 79 | 81 | 46 | 89 | 39 | 78 | 65 | 77 | 40 | 73 | |
29 yrs | LW | 64 | 60 | 86 | 76 | 72 | 97 | 52 | 62 | 78 | 60 | 56 | 99 | 49 | 90 | 65 | 30 | 72 | |
20 yrs | LW | 91 | 39 | 55 | 95 | 57 | 72 | 50 | 56 | 58 | 56 | 39 | 79 | 90 | 68 | 50 | 77 | 63 | |
Center | |||||||||||||||||||
28 yrs | C | 47 | 49 | 82 | 95 | 99 | 69 | 61 | 76 | 99 | 99 | 84 | 72 | 46 | 95 | 48 | 33 | 82 | |
20 yrs | C | 41 | 47 | 76 | 88 | 95 | 95 | 73 | 77 | 97 | 90 | 80 | 43 | 51 | 78 | 76 | 75 | 79 | |
24 yrs | C | 96 | 35 | 94 | 64 | 74 | 86 | 87 | 67 | 84 | 70 | 66 | 97 | 78 | 35 | 64 | 54 | 78 | |
36 yrs | C | 96 | 56 | 86 | 74 | 32 | 78 | 67 | 66 | 90 | 86 | 76 | 98 | 83 | 95 | 70 | 1 | 76 | |
35 yrs | C | 59 | 62 | 82 | 58 | 68 | 83 | 70 | 66 | 58 | 94 | 84 | 61 | 86 | 40 | 47 | 8 | 73 | |
21 yrs | C | 61 | 45 | 85 | 91 | 81 | 93 | 80 | 76 | 94 | 33 | 64 | 25 | 57 | 90 | 48 | 64 | 68 | |
Right Wing | |||||||||||||||||||
34 yrs | RW | 92 | 46 | 66 | 95 | 92 | 94 | 90 | 68 | 56 | 95 | 56 | 97 | 39 | 46 | 93 | 6 | 84 | |
33 yrs | RW | 96 | 50 | 86 | 91 | 87 | 67 | 83 | 96 | 93 | 67 | 80 | 95 | 62 | 63 | 50 | 15 | 84 | |
36 yrs | RW | 96 | 69 | 72 | 72 | 94 | 83 | 90 | 75 | 72 | 72 | 47 | 94 | 95 | 83 | 42 | 4 | 78 | |
23 yrs | RW | 88 | 44 | 82 | 63 | 62 | 94 | 91 | 69 | 93 | 86 | 46 | 83 | 36 | 98 | 94 | 59 | 77 | |
26 yrs | RW | 34 | 59 | 96 | 60 | 70 | 73 | 50 | 88 | 71 | 79 | 80 | 84 | 90 | 81 | 64 | 54 | 72 | |
33 yrs | RW | 38 | 64 | 65 | 76 | 63 | 86 | 50 | 89 | 93 | 53 | 96 | 81 | 51 | 52 | 77 | 6 | 72 | |
35 yrs | RW | 73 | 58 | 67 | 60 | 67 | 62 | 94 | 70 | 51 | 62 | 77 | 70 | 87 | 92 | 90 | 1 | 69 | |
20 yrs | RW | 64 | 55 | 64 | 89 | 77 | 90 | 56 | 57 | 45 | 60 | 71 | 34 | 34 | 79 | 75 | 77 | 65 | |
Defense | |||||||||||||||||||
30 yrs | D | 99 | 56 | 60 | 99 | 99 | 83 | 70 | 75 | 25 | 84 | 80 | 99 | 93 | 76 | 68 | 22 | 87 | |
28 yrs | D | 66 | 63 | 72 | 92 | 99 | 67 | 89 | 67 | 25 | 89 | 81 | 66 | 56 | 99 | 68 | 40 | 81 | |
29 yrs | D | 83 | 44 | 61 | 99 | 92 | 81 | 91 | 78 | 25 | 74 | 64 | 74 | 62 | 86 | 95 | 34 | 80 | |
22 yrs | D | 41 | 56 | 90 | 89 | 77 | 86 | 50 | 89 | 25 | 79 | 71 | 68 | 58 | 86 | 50 | 67 | 76 | |
35 yrs | D | 94 | 42 | 77 | 66 | 76 | 55 | 78 | 92 | 25 | 72 | 45 | 91 | 64 | 57 | 36 | 1 | 74 | |
22 yrs | D | 43 | 60 | 57 | 78 | 92 | 76 | 92 | 89 | 25 | 77 | 61 | 66 | 94 | 56 | 41 | 68 | 74 | |
27 yrs | D | 96 | 69 | 92 | 96 | 48 | 58 | 77 | 98 | 25 | 49 | 64 | 80 | 88 | 63 | 46 | 36 | 73 | |
23 yrs | D | 70 | 37 | 75 | 91 | 64 | 65 | 92 | 95 | 25 | 49 | 54 | 83 | 62 | 41 | 51 | 56 | 72 | |
28 yrs | D | 48 | 41 | 97 | 97 | 89 | 68 | 51 | 69 | 25 | 82 | 47 | 76 | 49 | 84 | 67 | 44 | 72 | |
21 yrs | D | 76 | 43 | 82 | 95 | 50 | 69 | 79 | 75 | 25 | 48 | 51 | 99 | 35 | 84 | 34 | 72 | 72 | |
32 yrs | D | 73 | 36 | 84 | 88 | 47 | 82 | 91 | 60 | 25 | 50 | 76 | 58 | 56 | 35 | 53 | 11 | 70 | |
21 yrs | D | 66 | 41 | 59 | 72 | 50 | 81 | 70 | 95 | 25 | 85 | 56 | 85 | 92 | 87 | 73 | 68 | 70 | |
29 yrs | D | 52 | 38 | 87 | 77 | 56 | 66 | 87 | 92 | 25 | 53 | 43 | 91 | 35 | 65 | 77 | 32 | 69 | |
28 yrs | D | 37 | 44 | 53 | 66 | 60 | 93 | 63 | 75 | 25 | 47 | 74 | 59 | 87 | 89 | 73 | 40 | 64 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
22 yrs | G | 57 | 95 | 50 | 85 | 86 | 56 | 91 | 94 | 95 | 90 | 79 | 30 | 85 | 67 | 50 | 80 | |
33 yrs | G | 92 | 77 | 51 | 80 | 58 | 54 | 96 | 82 | 81 | 87 | 68 | 52 | 85 | 14 | 50 | 76 | |
23 yrs | G | 89 | 89 | 86 | 72 | 69 | 50 | 74 | 90 | 57 | 67 | 67 | 86 | 60 | 65 | 50 | 74 | |
25 yrs | G | 53 | 81 | 76 | 70 | 63 | 96 | 52 | 78 | 68 | 52 | 64 | 91 | 89 | 52 | 50 | 69 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
3 | ![]() | ![]() ![]() | ![]() | ||
4 | ![]() | ![]() ![]() | ![]() | ![]() ![]() ![]() | ![]() ![]() ![]() |
5 | ![]() | ![]() | ![]() ![]() ![]() | ![]() | |
6 | ![]() | ![]() | ![]() | ![]() | |
7 | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Pick | Current Stats | |||
---|---|---|---|---|---|---|---|
Diederik Van Der Loo (RW) | ![]() | 2 | Round: 3, Pick: 49 | GP: 0 G: 0 A:0 Pts: 0 | 49 | ||
Niko-Markus Tukia (LW) | ![]() | 2 | Round: 3, Pick: 57 | GP: 0 G: 0 A:0 Pts: 0 | 57 | ||
Olaf Brieger (LW) | ![]() | 2 | Round: 4, Pick: 81 | GP: 0 G: 0 A:0 Pts: 0 | 81 | ||
Rene Pietila (D) | ![]() | 2 | Round: 2, Pick: 43 | GP: 0 G: 0 A:0 Pts: 0 | 43 | ||
Uuno Piili (RW) | ![]() | 2 | Round: 4, Pick: 92 | GP: 0 G: 0 A:0 Pts: 0 | 92 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
3 | ![]() | ![]() ![]() | ![]() | ||
4 | ![]() | ![]() ![]() | ![]() | ![]() ![]() ![]() | ![]() ![]() ![]() |
5 | ![]() | ![]() | ![]() ![]() ![]() | ![]() | |
6 | ![]() | ![]() | ![]() | ![]() | |
7 | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Pick | Current Stats | |||
---|---|---|---|---|---|---|---|
Diederik Van Der Loo (RW) | ![]() | 2 | Round: 3, Pick: 49 | GP: 0 G: 0 A:0 Pts: 0 | 49 | ||
Niko-Markus Tukia (LW) | ![]() | 2 | Round: 3, Pick: 57 | GP: 0 G: 0 A:0 Pts: 0 | 57 | ||
Olaf Brieger (LW) | ![]() | 2 | Round: 4, Pick: 81 | GP: 0 G: 0 A:0 Pts: 0 | 81 | ||
Rene Pietila (D) | ![]() | 2 | Round: 2, Pick: 43 | GP: 0 G: 0 A:0 Pts: 0 | 43 | ||
Uuno Piili (RW) | ![]() | 2 | Round: 4, Pick: 92 | GP: 0 G: 0 A:0 Pts: 0 | 92 |