![](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: Keith Evans | League Rank:24th | Arena: Armed Forces Ice Palace |
Conference: Northern Conference | Conference Rank:12nd | Capacity:17,000 |
Division: North East USA | Division Rank:4th | Total Player Salaries:38,090,366$ |
Captain: Ed Zandbeek | Last 10: 0-0-0 | Bank Account:40,868,614$ |
Coach: Julian Weiss | Home: 0-0-0 | |
All-Time Record: 98 W - 51 L - 11 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20 | ![]() | RW | 100.00 | 86 | 40 | 87 | 88 | 77 | 72 | 79 | 94 | 77 | 91 | 81 | 41 | 36 | 91 | 96 | 1 | 79 | 36 | 1,459,000$/1yrs | ||||
13 | ![]() | C | 100.00 | 95 | 53 | 75 | 57 | 77 | 76 | 71 | 93 | 60 | 87 | 88 | 64 | 53 | 47 | 47 | 1 | 77 | 35 | 1,419,000$/1yrs | ||||
10 | ![]() | RW | 100.00 | 55 | 68 | 96 | 83 | 95 | 95 | 70 | 74 | 72 | 51 | 74 | 77 | 39 | 83 | 71 | 6 | 76 | 37 | 1,204,000$/1yrs | ||||
37 | ![]() | LW | 100.00 | 81 | 55 | 63 | 60 | 71 | 85 | 56 | 88 | 75 | 73 | 90 | 84 | 46 | 94 | 75 | 72 | 75 | 20 | 2,030,000$/3yrs | ||||
12 | ![]() | C | 100.00 | 87 | 38 | 98 | 59 | 34 | 71 | 52 | 96 | 97 | 54 | 84 | 92 | 68 | 68 | 46 | 1 | 71 | 36 | 1,354,000$/1yrs | ||||
63 | ![]() | D | 100.00 | 91 | 63 | 86 | 76 | 73 | 96 | 91 | 99 | 25 | 78 | 76 | 49 | 39 | 79 | 65 | 16 | 80 | 32 | 1,019,000$/3yrs | ||||
42 | ![]() | D | 100.00 | 76 | 70 | 76 | 57 | 55 | 67 | 88 | 99 | 25 | 86 | 56 | 99 | 72 | 85 | 89 | 14 | 76 | 33 | 999,000$/1yrs | ||||
11 | ![]() | RW | 100.00 | 69 | 51 | 88 | 82 | 78 | 94 | 93 | 99 | 66 | 99 | 42 | 99 | 51 | 75 | 44 | 7 | 85 | 33 | 3,007,666$/5yrs | ||||
26 | ![]() | LW | 100.00 | 79 | 36 | 76 | 79 | 79 | 91 | 94 | 69 | 71 | 56 | 88 | 71 | 50 | 79 | 39 | 32 | 77 | 29 | 2,100,000$/2yrs | ||||
22 | ![]() | LW | 100.00 | 82 | 41 | 89 | 98 | 72 | 73 | 50 | 96 | 91 | 53 | 99 | 54 | 60 | 80 | 52 | 28 | 75 | 29 | 3,500,000$/5yrs | ||||
24 | ![]() | LW | 100.00 | 41 | 46 | 96 | 99 | 55 | 99 | 53 | 91 | 56 | 71 | 73 | 64 | 74 | 50 | 79 | 45 | 74 | 27 | 2,500,700$/2yrs | ||||
3 | ![]() | LW | 100.00 | 59 | 58 | 92 | 66 | 50 | 72 | 50 | 96 | 68 | 73 | 86 | 89 | 42 | 51 | 41 | 69 | 73 | 22 | 800,000$/2yrs | ||||
9 | ![]() | RW | 100.00 | 65 | 65 | 66 | 71 | 37 | 76 | 72 | 96 | 94 | 54 | 94 | 85 | 83 | 62 | 98 | 12 | 72 | 33 | 2,500,000$/3yrs | ||||
54 | ![]() | C | 100.00 | 35 | 59 | 77 | 88 | 98 | 63 | 82 | 84 | 99 | 60 | 72 | 39 | 96 | 81 | 56 | 15 | 72 | 33 | 1,100,000$/3yrs | ||||
12 | ![]() | RW | 100.00 | 52 | 60 | 94 | 58 | 63 | 94 | 50 | 90 | 85 | 88 | 84 | 30 | 52 | 55 | 74 | 32 | 72 | 30 | 2,200,000$/3yrs | ||||
51 | ![]() | C | 100.00 | 56 | 46 | 62 | 80 | 88 | 64 | 50 | 85 | 94 | 46 | 83 | 85 | 92 | 37 | 40 | 1 | 71 | 35 | 519,000$/1yrs | ||||
8 | ![]() | C | 100.00 | 35 | 51 | 80 | 51 | 33 | 70 | 88 | 92 | 92 | 40 | 95 | 94 | 55 | 72 | 42 | 3 | 69 | 36 | 1,500,000$/2yrs | ||||
93 | ![]() | D | 100.00 | 89 | 46 | 67 | 58 | 91 | 64 | 53 | 69 | 25 | 63 | 71 | 85 | 37 | 36 | 81 | 5 | 72 | 36 | 2,100,000$/2yrs | ||||
90 | ![]() | D | 100.00 | 32 | 69 | 87 | 62 | 53 | 92 | 50 | 87 | 25 | 70 | 63 | 93 | 72 | 90 | 51 | 1 | 68 | 35 | 650,000$/1yrs | ||||
43 | ![]() | D | 100.00 | 57 | 59 | 60 | 60 | 71 | 70 | 74 | 98 | 25 | 65 | 34 | 73 | 64 | 37 | 43 | 1 | 67 | 35 | 1,200,000$/1yrs | ||||
60 | ![]() | D | 100.00 | 74 | 49 | 84 | 55 | 44 | 72 | 54 | 87 | 25 | 47 | 40 | 94 | 80 | 64 | 98 | 14 | 64 | 32 | 244,000$/1yrs | ||||
TEAM AVERAGE | 100.00 | 66 | 53 | 81 | 71 | 66 | 79 | 68 | 90 | 64 | 67 | 75 | 74 | 60 | 67 | 63 | 18 | 74 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 100.00 | 81 | 74 | 56 | 79 | 82 | 86 | 99 | 85 | 95 | 82 | 95 | 56 | 71 | 19 | 82 | 32 | 2,010,000$/1yrs |
31 | ![]() | 100.00 | 80 | 87 | 73 | 81 | 91 | 87 | 85 | 78 | 92 | 69 | 87 | 66 | 51 | 65 | 82 | 22 | 1,000,000$/2yrs |
0 | ![]() | 100.00 | 53 | 88 | 73 | 75 | 86 | 86 | 88 | 64 | 83 | 83 | 81 | 54 | 58 | 51 | 78 | 24 | 1,675,000$/1yrs |
TEAM AVERAGE | 100.00 | 71 | 83 | 67 | 78 | 86 | 86 | 91 | 76 | 90 | 78 | 88 | 59 | 60 | 45 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Julian Weiss | 93 | 29 | 94 | 97 | 37 | 99 | 66 | USA | 44 | 3 | 2,500,000$ |
General Manager | Keith Evans |
---|
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 | 24 |
Contracts | 53/55 |
LTIR Players | 0 |
Militia Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Abram Zhmudsky ![]() | RW | 36 | 1,459,000$ | 1,459,000$ | |||||||
Amadeus Helm ![]() | RW | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Andrew Wiewel ![]() | G | 32 | 2,010,000$ | 2,010,000$ | |||||||
Carl-Luc Alzner ![]() | D | 35 | 1,200,000$ | 1,200,000$ | |||||||
Cortney OClerkin ![]() | C | 36 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Dennis Kendal ![]() | RW | 30 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | |||||
Donald Cloud ![]() | C | 33 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Ed Zandbeek ![]() | D | 33 | 999,000$ | 999,000$ | |||||||
Ezra Baskerville ![]() | C | 35 | 519,000$ | 519,000$ | |||||||
Freddie Frizzell ![]() | RW | 37 | 1,204,000$ | 1,204,000$ | |||||||
Leon Campaner ![]() | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Luca Connelley ![]() | D | 36 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Marten Gronvall ![]() | LW | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||
Melvin Hertz ![]() | D | 32 | 1,019,000$ | 1,019,000$ | 1,019,000$ | 1,019,000$ | |||||
Nicolas Milliner ![]() | RW | 33 | 3,007,666$ | 3,007,666$ | 3,007,666$ | 3,007,666$ | 3,007,666$ | 3,007,666$ | |||
Odell Kell ![]() | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Pavel Boyko ![]() | C | 35 | 1,419,000$ | 1,419,000$ | |||||||
Pierre-Anthony Back ![]() | G | 24 | 1,675,000$ | 1,675,000$ | |||||||
Polikarp Zlotsky ![]() | LW | 20 | 2,030,000$ | 2,030,000$ | 2,030,000$ | 2,030,000$ | |||||
Pyotr Pakholkov ![]() | D | 32 | 244,000$ | 244,000$ | |||||||
Robin Zenisek ![]() | D | 35 | 650,000$ | 650,000$ | |||||||
Ron Lebar ![]() | C | 36 | 1,354,000$ | 1,354,000$ | |||||||
Usevalad Skshynetski ![]() | LW | 27 | 2,500,700$ | 2,500,700$ | 2,500,700$ | ||||||
Vladilen Misin ![]() | LW | 29 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
TOTAL | 38,090,366$ | 25,357,366$ | 15,356,666$ | 6,507,666$ | 6,507,666$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrey Korobkin ![]() | D | 33 | 600,000$ | 600,000$ | 600,000$ | 600,000$ | |||||
Angus Nilsson ![]() | RW | 22 | 730,000$ | 730,000$ | 730,000$ | 730,000$ | |||||
Anton Alekhin ![]() | LW | 30 | 800,000$ | 800,000$ | |||||||
Conny Ericsson ![]() | D | 32 | 764,000$ | 764,000$ | 764,000$ | 764,000$ | |||||
Ennis Huskinson ![]() | RW | 31 | 834,000$ | 834,000$ | 834,000$ | ||||||
Gabryel Blacklock ![]() | RW | 31 | 734,000$ | 734,000$ | |||||||
Genadz Bubnow ![]() | D | 21 | 326,000$ | 326,000$ | |||||||
Gotz Lichtenberg ![]() | G | 20 | 0$ | 0$ | |||||||
Grayson Waldrep ![]() | LW | 20 | 296,000$ | 296,000$ | |||||||
Ivan Peshekhonov ![]() | G | 22 | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||||
Jared Whiteley ![]() | RW | 30 | 514,000$ | 514,000$ | 514,000$ | 514,000$ | |||||
Jean-Rene Deeg ![]() | C | 29 | 211,750$ | 213,000$ | 200,000$ | 200,000$ | |||||
Jeffrey Mitton ![]() | C | 25 | 903,000$ | 903,000$ | |||||||
Jim Gloeckner ![]() | G | 25 | 1,751,000$ | 1,751,000$ | |||||||
Jonah Lakovic ![]() | LW | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Korey Maciag ![]() | C | 26 | 1,138,000$ | 1,138,000$ | |||||||
Lazlo Sergent ![]() | D | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Lorenzo Porritt ![]() | RW | 33 | 879,000$ | 879,000$ | |||||||
Luigi Kinnunen ![]() | LW | 27 | 460,000$ | 460,000$ | |||||||
Magnus Sjodahl ![]() | D | 20 | 1,325,000$ | 1,325,000$ | |||||||
Manuel Albertazzi ![]() | D | 25 | 264,000$ | 264,000$ | |||||||
Nichlas Bjorklund ![]() | D | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Patrice Desrosiers ![]() | C | 29 | 710,000$ | 710,000$ | 710,000$ | ||||||
Philip Salenius ![]() | D | 31 | 359,000$ | 359,000$ | 359,000$ | 359,000$ | |||||
Remi Northey ![]() | RW | 26 | 863,000$ | 863,000$ | 863,000$ | 863,000$ | |||||
River Mcquinston ![]() | RW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Roland Deichmann ![]() | D | 27 | 550,000$ | 550,000$ | 550,000$ | ||||||
Russ Berlin ![]() | RW | 30 | 1,054,000$ | 1,054,000$ | 1,054,000$ | ||||||
Terry Vasey ![]() | LW | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Vilpas Gripenberg ![]() | LW | 28 | 293,000$ | 293,000$ | |||||||
TOTAL | 24,360,000 $ | 15,178,000$ | 7,730,000$ | 0$ | 0$ | 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 |
38,090,366$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Armed Forces Ice Palace | |
City | Massachusetts | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
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 | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
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 |
38,090,366$ | 38,090,366$ | 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$ | 40,868,614$ | 40,868,614$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
29 yrs | LW | 79 | 36 | 76 | 79 | 79 | 91 | 94 | 69 | 71 | 56 | 88 | 71 | 50 | 79 | 39 | 32 | 77 | |
20 yrs | LW | 81 | 55 | 63 | 60 | 71 | 85 | 56 | 88 | 75 | 73 | 90 | 84 | 46 | 94 | 75 | 72 | 75 | |
29 yrs | LW | 82 | 41 | 89 | 98 | 72 | 73 | 50 | 96 | 91 | 53 | 99 | 54 | 60 | 80 | 52 | 28 | 75 | |
27 yrs | LW | 41 | 46 | 96 | 99 | 55 | 99 | 53 | 91 | 56 | 71 | 73 | 64 | 74 | 50 | 79 | 45 | 74 | |
30 yrs | LW | 40 | 58 | 90 | 84 | 93 | 72 | 79 | 62 | 92 | 63 | 76 | 55 | 36 | 83 | 52 | 27 | 73 | |
28 yrs | LW | 73 | 38 | 73 | 92 | 67 | 77 | 50 | 91 | 53 | 73 | 69 | 79 | 81 | 65 | 57 | 31 | 73 | |
22 yrs | LW | 59 | 58 | 92 | 66 | 50 | 72 | 50 | 96 | 68 | 73 | 86 | 89 | 42 | 51 | 41 | 69 | 73 | |
25 yrs | LW | 93 | 64 | 87 | 63 | 42 | 68 | 73 | 98 | 78 | 74 | 42 | 94 | 76 | 87 | 71 | 45 | 72 | |
27 yrs | LW | 99 | 47 | 76 | 63 | 68 | 85 | 71 | 62 | 73 | 97 | 41 | 51 | 72 | 79 | 76 | 41 | 71 | |
28 yrs | LW | 86 | 55 | 97 | 63 | 58 | 72 | 72 | 88 | 95 | 39 | 55 | 74 | 71 | 72 | 43 | 36 | 68 | |
20 yrs | LW | 58 | 54 | 86 | 67 | 62 | 59 | 71 | 80 | 77 | 51 | 64 | 67 | 67 | 68 | 40 | 71 | 66 | |
Center | |||||||||||||||||||
35 yrs | C | 95 | 53 | 75 | 57 | 77 | 76 | 71 | 93 | 60 | 87 | 88 | 64 | 53 | 47 | 47 | 1 | 77 | |
26 yrs | C | 63 | 44 | 75 | 73 | 99 | 99 | 50 | 82 | 71 | 86 | 64 | 38 | 87 | 68 | 84 | 41 | 74 | |
25 yrs | C | 53 | 51 | 82 | 71 | 97 | 95 | 53 | 61 | 72 | 66 | 64 | 85 | 92 | 35 | 80 | 45 | 73 | |
33 yrs | C | 35 | 59 | 77 | 88 | 98 | 63 | 82 | 84 | 99 | 60 | 72 | 39 | 96 | 81 | 56 | 15 | 72 | |
36 yrs | C | 87 | 38 | 98 | 59 | 34 | 71 | 52 | 96 | 97 | 54 | 84 | 92 | 68 | 68 | 46 | 1 | 71 | |
29 yrs | C | 38 | 47 | 65 | 58 | 90 | 59 | 61 | 92 | 99 | 76 | 60 | 73 | 35 | 38 | 62 | 33 | 71 | |
35 yrs | C | 56 | 46 | 62 | 80 | 88 | 64 | 50 | 85 | 94 | 46 | 83 | 85 | 92 | 37 | 40 | 1 | 71 | |
36 yrs | C | 35 | 51 | 80 | 51 | 33 | 70 | 88 | 92 | 92 | 40 | 95 | 94 | 55 | 72 | 42 | 3 | 69 | |
29 yrs | C | 61 | 58 | 78 | 55 | 80 | 77 | 80 | 99 | 99 | 45 | 40 | 73 | 62 | 54 | 90 | 29 | 69 | |
Right Wing | |||||||||||||||||||
33 yrs | RW | 69 | 51 | 88 | 82 | 78 | 94 | 93 | 99 | 66 | 99 | 42 | 99 | 51 | 75 | 44 | 7 | 85 | |
36 yrs | RW | 86 | 40 | 87 | 88 | 77 | 72 | 79 | 94 | 77 | 91 | 81 | 41 | 36 | 91 | 96 | 1 | 79 | |
37 yrs | RW | 55 | 68 | 96 | 83 | 95 | 95 | 70 | 74 | 72 | 51 | 74 | 77 | 39 | 83 | 71 | 6 | 76 | |
31 yrs | RW | 79 | 68 | 82 | 90 | 75 | 80 | 74 | 76 | 80 | 50 | 93 | 64 | 37 | 39 | 39 | 26 | 75 | |
26 yrs | RW | 99 | 36 | 60 | 79 | 63 | 66 | 87 | 66 | 89 | 71 | 72 | 74 | 59 | 82 | 81 | 46 | 74 | |
33 yrs | RW | 35 | 63 | 71 | 99 | 70 | 77 | 83 | 67 | 92 | 74 | 78 | 61 | 72 | 62 | 70 | 5 | 74 | |
33 yrs | RW | 65 | 65 | 66 | 71 | 37 | 76 | 72 | 96 | 94 | 54 | 94 | 85 | 83 | 62 | 98 | 12 | 72 | |
30 yrs | RW | 52 | 60 | 94 | 58 | 63 | 94 | 50 | 90 | 85 | 88 | 84 | 30 | 52 | 55 | 74 | 32 | 72 | |
30 yrs | RW | 77 | 38 | 82 | 82 | 58 | 81 | 54 | 87 | 59 | 67 | 87 | 64 | 53 | 55 | 85 | 26 | 72 | |
31 yrs | RW | 35 | 51 | 83 | 98 | 81 | 79 | 95 | 87 | 85 | 40 | 56 | 66 | 60 | 36 | 45 | 21 | 72 | |
26 yrs | RW | 82 | 37 | 72 | 82 | 62 | 92 | 50 | 97 | 64 | 48 | 86 | 59 | 35 | 80 | 75 | 46 | 71 | |
30 yrs | RW | 89 | 49 | 78 | 74 | 80 | 55 | 50 | 85 | 63 | 41 | 91 | 29 | 60 | 52 | 73 | 26 | 64 | |
22 yrs | RW | 31 | 39 | 72 | 51 | 58 | 51 | 59 | 83 | 51 | 36 | 85 | 55 | 41 | 58 | 52 | 70 | 57 | |
Defense | |||||||||||||||||||
32 yrs | D | 91 | 63 | 86 | 76 | 73 | 96 | 91 | 99 | 25 | 78 | 76 | 49 | 39 | 79 | 65 | 16 | 80 | |
33 yrs | D | 76 | 70 | 76 | 57 | 55 | 67 | 88 | 99 | 25 | 86 | 56 | 99 | 72 | 85 | 89 | 14 | 76 | |
31 yrs | D | 61 | 65 | 72 | 80 | 91 | 55 | 78 | 74 | 25 | 79 | 46 | 80 | 78 | 70 | 86 | 20 | 74 | |
25 yrs | D | 56 | 44 | 95 | 74 | 78 | 87 | 50 | 96 | 25 | 75 | 77 | 54 | 92 | 63 | 40 | 53 | 74 | |
23 yrs | D | 45 | 62 | 93 | 78 | 78 | 71 | 50 | 94 | 25 | 76 | 43 | 95 | 92 | 62 | 45 | 67 | 73 | |
32 yrs | D | 55 | 46 | 74 | 90 | 83 | 90 | 84 | 90 | 25 | 49 | 48 | 72 | 93 | 94 | 91 | 19 | 73 | |
36 yrs | D | 89 | 46 | 67 | 58 | 91 | 64 | 53 | 69 | 25 | 63 | 71 | 85 | 37 | 36 | 81 | 5 | 72 | |
27 yrs | D | 85 | 41 | 67 | 86 | 71 | 80 | 61 | 63 | 25 | 87 | 50 | 72 | 57 | 65 | 59 | 40 | 72 | |
22 yrs | D | 84 | 62 | 62 | 72 | 92 | 81 | 81 | 82 | 25 | 35 | 69 | 57 | 33 | 95 | 52 | 70 | 70 | |
35 yrs | D | 32 | 69 | 87 | 62 | 53 | 92 | 50 | 87 | 25 | 70 | 63 | 93 | 72 | 90 | 51 | 1 | 68 | |
35 yrs | D | 57 | 59 | 60 | 60 | 71 | 70 | 74 | 98 | 25 | 65 | 34 | 73 | 64 | 37 | 43 | 1 | 67 | |
33 yrs | D | 39 | 53 | 99 | 90 | 70 | 67 | 50 | 88 | 25 | 59 | 43 | 69 | 46 | 52 | 84 | 18 | 66 | |
32 yrs | D | 74 | 49 | 84 | 55 | 44 | 72 | 54 | 87 | 25 | 47 | 40 | 94 | 80 | 64 | 98 | 14 | 64 | |
21 yrs | D | 66 | 42 | 71 | 58 | 47 | 81 | 50 | 94 | 25 | 52 | 61 | 83 | 72 | 35 | 75 | 65 | 64 | |
20 yrs | D | 93 | 58 | 82 | 62 | 25 | 75 | 50 | 92 | 25 | 46 | 54 | 75 | 34 | 62 | 95 | 80 | 62 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
32 yrs | G | 81 | 74 | 56 | 79 | 82 | 86 | 99 | 85 | 95 | 82 | 95 | 56 | 71 | 19 | 50 | 82 | |
22 yrs | G | 80 | 87 | 73 | 81 | 91 | 87 | 85 | 78 | 92 | 69 | 87 | 66 | 51 | 65 | 50 | 82 | |
24 yrs | G | 53 | 88 | 73 | 75 | 86 | 86 | 88 | 64 | 83 | 83 | 81 | 54 | 58 | 51 | 50 | 78 | |
25 yrs | G | 75 | 64 | 66 | 71 | 83 | 60 | 75 | 90 | 64 | 95 | 79 | 37 | 61 | 50 | 50 | 74 | |
22 yrs | G | 82 | 51 | 50 | 80 | 78 | 71 | 88 | 97 | 69 | 66 | 49 | 78 | 30 | 69 | 50 | 73 | |
20 yrs | G | 46 | 71 | 50 | 68 | 74 | 73 | 70 | 67 | 46 | 88 | 73 | 58 | 60 | 83 | 50 | 65 |
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 |
---|
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 |
---|