![](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: Kieran Green | League Rank:12nd | Arena: The Dock |
Conference: Southern Conference | Conference Rank:8th | Capacity:17,000 |
Division: Mid West | Division Rank:2nd | Total Player Salaries:33,154,500$ |
Captain: Johnny Rusty | Last 10: 0-0-0 | Bank Account:40,573,650$ |
Coach: Denis Zorn | Home: 0-0-0 | |
All-Time Record: 85 W - 56 L - 19 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9 | ![]() | RW | 100.00 | 68 | 69 | 86 | 92 | 83 | 68 | 84 | 75 | 74 | 97 | 98 | 90 | 51 | 35 | 97 | 39 | 85 | 27 | 1,828,000$/1yrs | ||||
23 | ![]() | RW | 100.00 | 51 | 44 | 72 | 87 | 63 | 76 | 87 | 65 | 82 | 97 | 84 | 99 | 65 | 52 | 95 | 28 | 81 | 31 | 1,224,000$/1yrs | ||||
11 | ![]() | C | 100.00 | 42 | 53 | 67 | 70 | 94 | 93 | 82 | 65 | 80 | 76 | 91 | 99 | 77 | 69 | 45 | 32 | 80 | 28 | 1,295,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 86 | 54 | 87 | 66 | 92 | 99 | 70 | 99 | 58 | 76 | 54 | 71 | 38 | 49 | 63 | 34 | 78 | 27 | 980,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 79 | 63 | 78 | 93 | 57 | 86 | 70 | 80 | 93 | 75 | 91 | 39 | 55 | 90 | 78 | 17 | 75 | 32 | 1,149,000$/3yrs | ||||
22 | ![]() | LW | 100.00 | 34 | 45 | 80 | 62 | 60 | 65 | 71 | 93 | 97 | 87 | 87 | 79 | 81 | 99 | 94 | 28 | 75 | 29 | 3,000,000$/3yrs | ||||
21 | ![]() | C | 100.00 | 85 | 48 | 88 | 49 | 90 | 61 | 58 | 92 | 95 | 55 | 91 | 79 | 54 | 81 | 76 | 76 | 74 | 20 | 2,275,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 71 | 55 | 68 | 74 | 88 | 95 | 79 | 90 | 77 | 40 | 98 | 50 | 65 | 55 | 99 | 24 | 74 | 31 | 989,000$/1yrs | ||||
19 | ![]() | LW | 100.00 | 88 | 64 | 83 | 83 | 67 | 85 | 61 | 85 | 70 | 50 | 77 | 80 | 69 | 85 | 54 | 7 | 73 | 33 | 999,000$/1yrs | ||||
2 | ![]() | D | 100.00 | 92 | 53 | 92 | 67 | 99 | 97 | 94 | 63 | 25 | 76 | 80 | 95 | 64 | 61 | 51 | 38 | 86 | 27 | 1,533,000$/3yrs | ||||
5 | ![]() | D | 100.00 | 99 | 60 | 80 | 99 | 54 | 75 | 68 | 98 | 25 | 81 | 77 | 65 | 77 | 49 | 83 | 23 | 80 | 31 | 854,000$/2yrs | ||||
6 | ![]() | D | 100.00 | 83 | 61 | 80 | 95 | 52 | 91 | 62 | 69 | 25 | 78 | 72 | 89 | 97 | 70 | 63 | 58 | 76 | 24 | 1,740,000$/3yrs | ||||
16 | ![]() | C | 100.00 | 49 | 69 | 60 | 87 | 84 | 79 | 83 | 75 | 99 | 65 | 85 | 78 | 52 | 75 | 38 | 9 | 77 | 33 | 1,350,000$/1yrs | ||||
18 | ![]() | RW | 100.00 | 68 | 42 | 69 | 89 | 79 | 79 | 47 | 94 | 86 | 83 | 99 | 37 | 75 | 68 | 81 | 40 | 76 | 28 | 3,900,000$/4yrs | ||||
0 | ![]() | RW | 100.00 | 36 | 45 | 94 | 86 | 63 | 58 | 91 | 95 | 83 | 94 | 60 | 37 | 77 | 65 | 59 | 49 | 74 | 26 | 573,000$/1yrs | ||||
7 | ![]() | LW | 100.00 | 54 | 41 | 95 | 74 | 58 | 76 | 78 | 62 | 62 | 95 | 67 | 67 | 76 | 54 | 89 | 19 | 73 | 31 | 579,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 98 | 64 | 93 | 60 | 64 | 95 | 78 | 89 | 93 | 83 | 38 | 44 | 48 | 94 | 79 | 9 | 73 | 34 | 469,000$/1yrs | ||||
4 | ![]() | D | 100.00 | 37 | 46 | 92 | 76 | 96 | 75 | 86 | 91 | 25 | 83 | 64 | 54 | 64 | 65 | 96 | 19 | 77 | 32 | 654,000$/2yrs | ||||
67 | ![]() | D | 100.00 | 90 | 68 | 85 | 60 | 89 | 71 | 78 | 65 | 25 | 85 | 69 | 71 | 86 | 87 | 81 | 27 | 77 | 30 | 644,000$/3yrs | ||||
0 | ![]() | D | 100.00 | 75 | 51 | 70 | 67 | 89 | 86 | 50 | 99 | 25 | 56 | 66 | 73 | 42 | 63 | 44 | 44 | 72 | 27 | 1,399,500$/4yrs | ||||
TEAM AVERAGE | 100.00 | 69 | 55 | 81 | 77 | 76 | 81 | 74 | 82 | 65 | 77 | 77 | 70 | 66 | 68 | 73 | 31 | 77 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
39 | ![]() | 100.00 | 57 | 99 | 75 | 86 | 99 | 53 | 99 | 91 | 91 | 66 | 96 | 62 | 36 | 30 | 82 | 29 | 1,915,000$/2yrs |
34 | ![]() | 100.00 | 64 | 87 | 71 | 80 | 87 | 95 | 62 | 82 | 77 | 84 | 50 | 75 | 84 | 64 | 79 | 22 | 2,400,000$/4yrs |
0 | ![]() | 100.00 | 54 | 56 | 93 | 69 | 87 | 48 | 61 | 92 | 73 | 71 | 78 | 53 | 77 | 3 | 70 | 37 | 1,405,000$/1yrs |
TEAM AVERAGE | 100.00 | 58 | 81 | 80 | 78 | 91 | 65 | 74 | 88 | 80 | 74 | 75 | 63 | 66 | 32 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Denis Zorn | 74 | 50 | 61 | 98 | 59 | 66 | 64 | GER | 48 | 2 | 550,000$ |
General Manager | Kieran Green |
---|
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 | 23 |
Contracts | 48/55 |
LTIR Players | 0 |
Dockheads Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.C. Westren ![]() | C | 28 | 1,295,000$ | 1,295,000$ | 1,295,000$ | ||||||
Aiden Wourms ![]() | RW | 26 | 573,000$ | 573,000$ | |||||||
Albert Zamuner ![]() | D | 30 | 644,000$ | 644,000$ | 644,000$ | 644,000$ | |||||
Bedrich Visek ![]() | RW | 31 | 1,224,000$ | 1,224,000$ | |||||||
Ben Moes ![]() | D | 27 | 1,399,500$ | 1,399,500$ | 1,399,500$ | 1,399,500$ | 1,399,500$ | ||||
Brantley Langevin ![]() | RW | 28 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | ||||
Bronson Landrum ![]() | LW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Caden Boteler ![]() | G | 22 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | ||||
Cooper Fornataro ![]() | G | 29 | 1,915,000$ | 1,915,000$ | 1,915,000$ | ||||||
Dayton Clement ![]() | C | 33 | 1,350,000$ | 1,350,000$ | |||||||
Eric Picklyk ![]() | D | 31 | 854,000$ | 854,000$ | 854,000$ | ||||||
Harper Frick ![]() | D | 27 | 1,533,000$ | 1,533,000$ | 1,533,000$ | 1,533,000$ | |||||
Hartley OCurry ![]() | C | 20 | 2,275,000$ | 2,275,000$ | 2,275,000$ | 2,275,000$ | |||||
Johnny Rusty ![]() | D | 32 | 654,000$ | 654,000$ | 654,000$ | ||||||
Joran De Haan ![]() | D | 24 | 1,740,000$ | 1,740,000$ | 1,740,000$ | 1,740,000$ | |||||
Leimo Ali ![]() | RW | 27 | 980,000$ | 980,000$ | 980,000$ | 980,000$ | |||||
Maitland Cable ![]() | C | 34 | 469,000$ | 469,000$ | |||||||
Niall Topping ![]() | LW | 31 | 989,000$ | 989,000$ | |||||||
Rawley Boney ![]() | RW | 27 | 1,828,000$ | 1,828,000$ | |||||||
Tavish Duhatschek ![]() | LW | 31 | 579,000$ | 579,000$ | 579,000$ | 579,000$ | |||||
Timothe Bauman ![]() | C | 32 | 1,149,000$ | 1,149,000$ | 1,149,000$ | 1,149,000$ | |||||
Timothy Pham ![]() | LW | 33 | 999,000$ | 999,000$ | |||||||
Willy Welsford ![]() | G | 37 | 1,405,000$ | 1,405,000$ | |||||||
TOTAL | 33,154,500$ | 24,317,500$ | 19,599,500$ | 7,699,500$ | 0$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adalbert Berlin ![]() | C | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
Adel Ferrantino ![]() | C | 20 | 844,507$ | 844,507$ | 844,507$ | 844,507$ | 844,507$ | 844,507$ | |||
Akke Pyoriainen ![]() | D | 31 | 449,000$ | 449,000$ | |||||||
Bohdan Palamarchuk ![]() | D | 22 | 335,500$ | 353,000$ | 318,000$ | 282,000$ | |||||
Bruce Jomphe ![]() | LW | 22 | 0$ | 0$ | |||||||
Christian Cannan ![]() | D | 31 | 359,000$ | 359,000$ | |||||||
Connie Leather ![]() | D | 20 | 466,000$ | 490,000$ | 442,000$ | 392,000$ | |||||
Deimantas Dainys ![]() | LW | 27 | 1,330,000$ | 1,330,000$ | 1,330,000$ | 1,330,000$ | |||||
Easton Jamieson ![]() | C | 24 | 205,500$ | 200,000$ | |||||||
Emilio Mabry ![]() | RW | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Francois Walrod ![]() | LW | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Gennady Oginsky ![]() | RW | 34 | 1,700,000$ | 1,700,000$ | |||||||
Graeme Bourdeau ![]() | G | 25 | 1,050,000$ | 1,050,000$ | 1,050,000$ | ||||||
Ivan Nekhrist ![]() | D | 31 | 739,000$ | 739,000$ | 739,000$ | ||||||
Kirill Karpyuk ![]() | RW | 20 | 1,960,000$ | 1,960,000$ | 1,960,000$ | ||||||
Linus Smeds ![]() | G | 31 | 1,365,000$ | 1,365,000$ | |||||||
Marv Plaisance ![]() | D | 31 | 644,000$ | 644,000$ | |||||||
Oskar Carlsson ![]() | C | 24 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||
Rylan Meunier ![]() | LW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Thor Souchotte ![]() | C | 36 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Thornton Upchurch ![]() | RW | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tony Delaurentis ![]() | RW | 20 | 256,000$ | 256,000$ | 256,000$ | 256,000$ | |||||
Tylor Rebelo ![]() | G | 28 | 1,510,000$ | 1,510,000$ | 1,510,000$ | 1,510,000$ | 1,510,000$ | ||||
Vsevolod Kaiturov ![]() | LW | 34 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Yevheniy Yakovenko ![]() | D | 20 | 320,000$ | 320,000$ | 320,000$ | 320,000$ | |||||
York Kiki ![]() | RW | 24 | 408,500$ | 430,000$ | 387,000$ | 344,000$ | |||||
TOTAL | 24,599,507 $ | 19,756,507$ | 9,478,507$ | 5,054,507$ | 844,507$ | 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 |
33,154,500$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | The Dock | |
City | Minnesota | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 95$ | 50$ | 35$ | 15$ | 240$ |
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 |
33,154,500$ | 33,154,500$ | 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$ | 40,573,650$ | 40,573,650$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
34 yrs | LW | 75 | 62 | 68 | 80 | 60 | 67 | 93 | 68 | 74 | 97 | 45 | 81 | 51 | 91 | 59 | 8 | 75 | |
29 yrs | LW | 34 | 45 | 80 | 62 | 60 | 65 | 71 | 93 | 97 | 87 | 87 | 79 | 81 | 99 | 94 | 28 | 75 | |
31 yrs | LW | 71 | 55 | 68 | 74 | 88 | 95 | 79 | 90 | 77 | 40 | 98 | 50 | 65 | 55 | 99 | 24 | 74 | |
31 yrs | LW | 54 | 41 | 95 | 74 | 58 | 76 | 78 | 62 | 62 | 95 | 67 | 67 | 76 | 54 | 89 | 19 | 73 | |
33 yrs | LW | 88 | 64 | 83 | 83 | 67 | 85 | 61 | 85 | 70 | 50 | 77 | 80 | 69 | 85 | 54 | 7 | 73 | |
22 yrs | LW | 80 | 46 | 86 | 82 | 48 | 96 | 61 | 66 | 50 | 93 | 81 | 44 | 87 | 85 | 48 | 65 | 73 | |
23 yrs | LW | 62 | 40 | 86 | 70 | 81 | 86 | 53 | 68 | 56 | 61 | 67 | 92 | 35 | 98 | 92 | 62 | 71 | |
27 yrs | LW | 86 | 51 | 71 | 57 | 82 | 70 | 50 | 61 | 75 | 45 | 98 | 99 | 35 | 99 | 78 | 47 | 70 | |
22 yrs | LW | 52 | 60 | 72 | 76 | 52 | 58 | 71 | 70 | 89 | 74 | 61 | 44 | 49 | 89 | 60 | 68 | 65 | |
Center | |||||||||||||||||||
28 yrs | C | 42 | 53 | 67 | 70 | 94 | 93 | 82 | 65 | 80 | 76 | 91 | 99 | 77 | 69 | 45 | 32 | 80 | |
33 yrs | C | 49 | 69 | 60 | 87 | 84 | 79 | 83 | 75 | 99 | 65 | 85 | 78 | 52 | 75 | 38 | 9 | 77 | |
32 yrs | C | 79 | 63 | 78 | 93 | 57 | 86 | 70 | 80 | 93 | 75 | 91 | 39 | 55 | 90 | 78 | 17 | 75 | |
20 yrs | C | 85 | 48 | 88 | 49 | 90 | 61 | 58 | 92 | 95 | 55 | 91 | 79 | 54 | 81 | 76 | 76 | 74 | |
28 yrs | C | 40 | 54 | 91 | 62 | 99 | 61 | 69 | 68 | 97 | 97 | 45 | 76 | 92 | 59 | 69 | 39 | 74 | |
36 yrs | C | 94 | 62 | 76 | 65 | 94 | 75 | 50 | 89 | 74 | 79 | 39 | 82 | 56 | 70 | 55 | 6 | 73 | |
34 yrs | C | 98 | 64 | 93 | 60 | 64 | 95 | 78 | 89 | 93 | 83 | 38 | 44 | 48 | 94 | 79 | 9 | 73 | |
24 yrs | C | 59 | 49 | 87 | 71 | 75 | 99 | 93 | 66 | 63 | 71 | 61 | 37 | 33 | 77 | 87 | 52 | 71 | |
24 yrs | C | 54 | 34 | 95 | 85 | 93 | 61 | 58 | 87 | 92 | 73 | 43 | 56 | 75 | 92 | 44 | 50 | 71 | |
20 yrs | C | 46 | 46 | 55 | 65 | 58 | 70 | 75 | 69 | 63 | 60 | 62 | 55 | 50 | 55 | 75 | 74 | 63 | |
Right Wing | |||||||||||||||||||
27 yrs | RW | 68 | 69 | 86 | 92 | 83 | 68 | 84 | 75 | 74 | 97 | 98 | 90 | 51 | 35 | 97 | 39 | 85 | |
31 yrs | RW | 51 | 44 | 72 | 87 | 63 | 76 | 87 | 65 | 82 | 97 | 84 | 99 | 65 | 52 | 95 | 28 | 81 | |
27 yrs | RW | 86 | 54 | 87 | 66 | 92 | 99 | 70 | 99 | 58 | 76 | 54 | 71 | 38 | 49 | 63 | 34 | 78 | |
28 yrs | RW | 68 | 42 | 69 | 89 | 79 | 79 | 47 | 94 | 86 | 83 | 99 | 37 | 75 | 68 | 81 | 40 | 76 | |
21 yrs | RW | 33 | 45 | 82 | 71 | 86 | 72 | 50 | 83 | 91 | 84 | 88 | 67 | 60 | 90 | 30 | 67 | 75 | |
26 yrs | RW | 36 | 45 | 94 | 86 | 63 | 58 | 91 | 95 | 83 | 94 | 60 | 37 | 77 | 65 | 59 | 49 | 74 | |
34 yrs | RW | 79 | 50 | 83 | 93 | 61 | 75 | 89 | 83 | 58 | 69 | 46 | 81 | 89 | 76 | 82 | 9 | 74 | |
20 yrs | RW | 51 | 61 | 84 | 62 | 68 | 90 | 66 | 63 | 86 | 78 | 93 | 51 | 42 | 47 | 82 | 71 | 72 | |
21 yrs | RW | 43 | 64 | 86 | 53 | 38 | 87 | 50 | 88 | 54 | 93 | 89 | 89 | 85 | 30 | 89 | 69 | 72 | |
24 yrs | RW | 72 | 64 | 89 | 58 | 61 | 64 | 50 | 80 | 88 | 57 | 86 | 87 | 64 | 98 | 44 | 60 | 70 | |
20 yrs | RW | 41 | 60 | 59 | 74 | 25 | 59 | 85 | 63 | 50 | 46 | 77 | 86 | 80 | 78 | 35 | 81 | 61 | |
Defense | |||||||||||||||||||
27 yrs | D | 92 | 53 | 92 | 67 | 99 | 97 | 94 | 63 | 25 | 76 | 80 | 95 | 64 | 61 | 51 | 38 | 86 | |
31 yrs | D | 99 | 60 | 80 | 99 | 54 | 75 | 68 | 98 | 25 | 81 | 77 | 65 | 77 | 49 | 83 | 23 | 80 | |
32 yrs | D | 37 | 46 | 92 | 76 | 96 | 75 | 86 | 91 | 25 | 83 | 64 | 54 | 64 | 65 | 96 | 19 | 77 | |
30 yrs | D | 90 | 68 | 85 | 60 | 89 | 71 | 78 | 65 | 25 | 85 | 69 | 71 | 86 | 87 | 81 | 27 | 77 | |
24 yrs | D | 83 | 61 | 80 | 95 | 52 | 91 | 62 | 69 | 25 | 78 | 72 | 89 | 97 | 70 | 63 | 58 | 76 | |
31 yrs | D | 97 | 57 | 68 | 64 | 98 | 75 | 86 | 63 | 25 | 64 | 36 | 60 | 44 | 43 | 83 | 23 | 74 | |
27 yrs | D | 75 | 51 | 70 | 67 | 89 | 86 | 50 | 99 | 25 | 56 | 66 | 73 | 42 | 63 | 44 | 44 | 72 | |
31 yrs | D | 50 | 59 | 83 | 90 | 55 | 99 | 75 | 85 | 25 | 56 | 65 | 60 | 98 | 80 | 64 | 27 | 72 | |
31 yrs | D | 52 | 35 | 91 | 84 | 76 | 59 | 73 | 88 | 25 | 69 | 51 | 77 | 74 | 36 | 84 | 25 | 70 | |
20 yrs | D | 94 | 40 | 80 | 70 | 55 | 59 | 56 | 90 | 25 | 62 | 59 | 69 | 63 | 59 | 97 | 75 | 66 | |
22 yrs | D | 85 | 35 | 57 | 70 | 36 | 92 | 52 | 67 | 25 | 79 | 46 | 73 | 39 | 52 | 61 | 66 | 64 | |
31 yrs | D | 54 | 39 | 76 | 86 | 61 | 77 | 61 | 75 | 25 | 60 | 49 | 51 | 90 | 52 | 57 | 23 | 63 | |
20 yrs | D | 45 | 32 | 84 | 52 | 41 | 67 | 68 | 75 | 25 | 62 | 63 | 55 | 91 | 66 | 88 | 81 | 60 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
29 yrs | G | 57 | 99 | 75 | 86 | 99 | 53 | 99 | 91 | 91 | 66 | 96 | 62 | 36 | 30 | 50 | 82 | |
22 yrs | G | 64 | 87 | 71 | 80 | 87 | 95 | 62 | 82 | 77 | 84 | 50 | 75 | 84 | 64 | 50 | 79 | |
28 yrs | G | 75 | 55 | 79 | 69 | 75 | 99 | 67 | 89 | 62 | 68 | 91 | 66 | 71 | 39 | 50 | 74 | |
31 yrs | G | 60 | 72 | 72 | 68 | 88 | 55 | 58 | 86 | 90 | 75 | 54 | 76 | 96 | 17 | 50 | 72 | |
37 yrs | G | 54 | 56 | 93 | 69 | 87 | 48 | 61 | 92 | 73 | 71 | 78 | 53 | 77 | 3 | 50 | 70 | |
25 yrs | G | 54 | 54 | 68 | 79 | 55 | 84 | 60 | 64 | 83 | 76 | 71 | 96 | 36 | 48 | 50 | 68 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 | |||
---|---|---|---|---|---|---|---|
Carlos Gosselin (RW) | ![]() | 2 | Round: 3, Pick: 52 | GP: 0 G: 0 A:0 Pts: 0 | 52 | ||
Gleb Zazulenko (G) | ![]() | 2 | Round: 3, Pick: 53 | GP:0 W:0, SV%:0, GAA:0 | 53 | ||
Norman Krichew (D) | ![]() | 2 | Round: 5, Pick: 119 | GP: 0 G: 0 A:0 Pts: 0 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 | |||
---|---|---|---|---|---|---|---|
Carlos Gosselin (RW) | ![]() | 2 | Round: 3, Pick: 52 | GP: 0 G: 0 A:0 Pts: 0 | 52 | ||
Gleb Zazulenko (G) | ![]() | 2 | Round: 3, Pick: 53 | GP:0 W:0, SV%:0, GAA:0 | 53 | ||
Norman Krichew (D) | ![]() | 2 | Round: 5, Pick: 119 | GP: 0 G: 0 A:0 Pts: 0 |