![](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)
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![](images/LogoTeams/Pro/13.png)
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![](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: Noah Dawson | League Rank:19th | Arena: The Palace |
Conference: Southern Conference | Conference Rank:11st | Capacity:17,000 |
Division: South East | Division Rank:4th | Total Player Salaries:37,772,500$ |
Captain: Len Cozart | Last 10: 0-0-0 | Bank Account:44,401,326$ |
Coach: Gail Fraley | Home: 0-0-0 | |
All-Time Record: 92 W - 56 L - 12 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18 | ![]() | C | 100.00 | 97 | 35 | 98 | 88 | 99 | 67 | 89 | 97 | 91 | 72 | 87 | 79 | 83 | 95 | 75 | 11 | 86 | 34 | 3,450,000$/2yrs | ||||
28 | ![]() | LW | 100.00 | 58 | 35 | 95 | 93 | 92 | 99 | 73 | 96 | 67 | 87 | 63 | 58 | 95 | 37 | 86 | 36 | 81 | 28 | 1,165,000$/2yrs | ||||
13 | ![]() | RW | 100.00 | 95 | 44 | 63 | 74 | 68 | 94 | 91 | 90 | 78 | 73 | 99 | 66 | 68 | 96 | 80 | 23 | 81 | 30 | 1,494,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 85 | 54 | 94 | 69 | 92 | 90 | 50 | 96 | 72 | 79 | 87 | 69 | 53 | 46 | 97 | 29 | 80 | 30 | 1,159,000$/3yrs | ||||
90 | ![]() | RW | 100.00 | 97 | 36 | 57 | 89 | 65 | 91 | 83 | 87 | 67 | 60 | 65 | 92 | 84 | 34 | 35 | 63 | 77 | 23 | 2,100,000$/4yrs | ||||
9 | ![]() | C | 100.00 | 73 | 38 | 62 | 78 | 26 | 90 | 71 | 89 | 99 | 91 | 94 | 45 | 96 | 37 | 60 | 34 | 75 | 29 | 1,715,000$/1yrs | ||||
6 | ![]() | D | 100.00 | 66 | 66 | 59 | 74 | 94 | 95 | 91 | 71 | 25 | 52 | 76 | 96 | 92 | 51 | 58 | 14 | 80 | 32 | 1,680,000$/2yrs | ||||
2 | ![]() | D | 100.00 | 83 | 54 | 71 | 76 | 88 | 78 | 95 | 93 | 25 | 59 | 80 | 65 | 83 | 68 | 48 | 1 | 78 | 35 | 834,000$/1yrs | ||||
76 | ![]() | D | 100.00 | 53 | 50 | 67 | 74 | 85 | 98 | 89 | 68 | 25 | 90 | 68 | 84 | 55 | 89 | 87 | 56 | 78 | 24 | 1,800,000$/3yrs | ||||
19 | ![]() | C | 100.00 | 45 | 60 | 84 | 66 | 88 | 94 | 86 | 64 | 92 | 95 | 99 | 92 | 77 | 72 | 77 | 16 | 84 | 32 | 3,650,000$/2yrs | ||||
0 | ![]() | LW | 100.00 | 80 | 42 | 85 | 72 | 64 | 63 | 76 | 87 | 79 | 92 | 86 | 67 | 46 | 50 | 72 | 69 | 78 | 22 | 2,800,000$/5yrs | ||||
17 | ![]() | LW | 100.00 | 52 | 63 | 86 | 77 | 79 | 74 | 92 | 95 | 67 | 47 | 87 | 97 | 91 | 71 | 93 | 8 | 77 | 34 | 1,750,000$/1yrs | ||||
43 | ![]() | LW | 100.00 | 41 | 66 | 65 | 77 | 65 | 80 | 74 | 99 | 59 | 69 | 89 | 94 | 95 | 84 | 82 | 11 | 76 | 33 | 1,700,000$/3yrs | ||||
49 | ![]() | RW | 100.00 | 59 | 39 | 93 | 83 | 58 | 70 | 61 | 60 | 83 | 92 | 96 | 74 | 54 | 42 | 34 | 18 | 76 | 31 | 1,304,000$/2yrs | ||||
44 | ![]() | RW | 100.00 | 45 | 39 | 95 | 80 | 53 | 65 | 50 | 99 | 78 | 82 | 64 | 95 | 63 | 35 | 87 | 9 | 74 | 33 | 699,000$/1yrs | ||||
79 | ![]() | D | 100.00 | 87 | 60 | 92 | 62 | 88 | 73 | 79 | 98 | 25 | 77 | 61 | 92 | 95 | 41 | 75 | 33 | 80 | 29 | 2,500,000$/1yrs | ||||
8 | ![]() | D | 100.00 | 37 | 65 | 73 | 89 | 85 | 72 | 62 | 85 | 25 | 88 | 79 | 78 | 81 | 45 | 77 | 1 | 78 | 36 | 1,800,000$/1yrs | ||||
3 | ![]() | D | 100.00 | 67 | 28 | 91 | 76 | 96 | 88 | 84 | 70 | 25 | 72 | 52 | 81 | 87 | 62 | 68 | 74 | 77 | 20 | 900,000$/2yrs | ||||
7 | ![]() | D | 100.00 | 74 | 58 | 60 | 88 | 88 | 88 | 50 | 92 | 25 | 60 | 53 | 94 | 42 | 58 | 69 | 8 | 76 | 34 | 1,750,000$/1yrs | ||||
TEAM AVERAGE | 100.00 | 68 | 49 | 78 | 78 | 78 | 83 | 76 | 86 | 58 | 76 | 78 | 80 | 76 | 59 | 72 | 27 | 79 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31 | ![]() | 100.00 | 99 | 99 | 92 | 69 | 91 | 99 | 60 | 62 | 98 | 65 | 65 | 70 | 42 | 44 | 83 | 27 | 1,847,500$/2yrs |
0 | ![]() | 100.00 | 86 | 78 | 84 | 66 | 53 | 99 | 99 | 88 | 63 | 96 | 81 | 46 | 60 | 27 | 81 | 29 | 1,675,000$/2yrs |
TEAM AVERAGE | 100.00 | 93 | 89 | 88 | 68 | 72 | 99 | 80 | 75 | 81 | 81 | 73 | 58 | 51 | 36 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Gail Fraley | 47 | 92 | 97 | 82 | 40 | 91 | 79 | USA | 36 | 4 | 2,850,000$ |
General Manager | Noah Dawson |
---|
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 |
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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 |
# | 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 | 21 |
Contracts | 43/55 |
LTIR Players | 0 |
Royals Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Welsford ![]() | C | 29 | 1,715,000$ | 1,715,000$ | |||||||
Andre Schleicher ![]() | D | 29 | 2,500,000$ | 2,500,000$ | |||||||
Anton Vekselberg ![]() | LW | 28 | 1,165,000$ | 1,165,000$ | 1,165,000$ | ||||||
Benito Mathers ![]() | RW | 30 | 1,159,000$ | 1,159,000$ | 1,159,000$ | 1,159,000$ | |||||
Conrade Dole ![]() | D | 36 | 1,800,000$ | 1,800,000$ | |||||||
Elliot Poissant ![]() | D | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Gib Chafin ![]() | RW | 23 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||
Hillel Hopson ![]() | RW | 31 | 1,304,000$ | 1,304,000$ | 1,304,000$ | ||||||
Joe Mckinlay ![]() | C | 34 | 3,450,000$ | 3,450,000$ | 3,450,000$ | ||||||
Justice Nguyen ![]() | D | 34 | 1,750,000$ | 1,750,000$ | |||||||
Karim Hogdal ![]() | G | 29 | 1,675,000$ | 1,675,000$ | 1,675,000$ | ||||||
Keyler Kraftcheck ![]() | D | 24 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | |||||
Klas Aaltio ![]() | LW | 22 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | |||
Len Cozart ![]() | C | 32 | 3,650,000$ | 3,650,000$ | 3,650,000$ | ||||||
Lukas Pressl ![]() | D | 35 | 834,000$ | 834,000$ | |||||||
Milo Volcan ![]() | RW | 30 | 1,494,000$ | 1,494,000$ | 1,494,000$ | ||||||
Phillips Kaleigh ![]() | LW | 34 | 1,750,000$ | 1,750,000$ | |||||||
Randall Sappington ![]() | LW | 33 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||||
Silas Millington ![]() | RW | 33 | 699,000$ | 699,000$ | |||||||
Svyatoslav Mylnikov ![]() | D | 32 | 1,680,000$ | 1,680,000$ | 1,680,000$ | ||||||
Thatcher Goodyear ![]() | G | 27 | 1,847,500$ | 1,847,500$ | 1,847,500$ | ||||||
TOTAL | 37,772,500$ | 26,724,500$ | 9,559,000$ | 4,900,000$ | 2,800,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Amos Rigdon ![]() | C | 23 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
Antoni Keiser ![]() | C | 24 | 373,000$ | 373,000$ | 373,000$ | ||||||
Cedric Winnik ![]() | D | 32 | 1,124,000$ | 1,124,000$ | |||||||
Court Koritzinsky ![]() | D | 22 | 980,000$ | 980,000$ | 980,000$ | 980,000$ | 980,000$ | 980,000$ | |||
Deron Visentin ![]() | D | 21 | 360,000$ | 360,000$ | |||||||
Donnel Bogosian ![]() | D | 32 | 564,000$ | 564,000$ | 564,000$ | ||||||
Helmar Osterdahl ![]() | D | 36 | 789,000$ | 789,000$ | |||||||
Janos Romo ![]() | G | 35 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jeremie Soderberg ![]() | G | 23 | 1,600,000$ | 1,600,000$ | |||||||
Kael Sobkow ![]() | RW | 28 | 1,024,000$ | 1,024,000$ | 1,024,000$ | 1,024,000$ | |||||
Karl Lundkvist ![]() | C | 29 | 610,000$ | 610,000$ | 610,000$ | ||||||
Kerr Rich ![]() | G | 21 | 614,000$ | 614,000$ | 614,000$ | 614,000$ | |||||
Keven Spittel ![]() | RW | 33 | 1,300,000$ | 1,300,000$ | |||||||
London Crossman ![]() | LW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Nate Wojciechowski ![]() | C | 24 | 0$ | 0$ | |||||||
Olavi Lattu ![]() | LW | 20 | 429,000$ | 429,000$ | 429,000$ | ||||||
Pyotr Gach ![]() | LW | 25 | 683,000$ | 683,000$ | |||||||
Simo-Ville Annola ![]() | C | 20 | 412,000$ | 412,000$ | 412,000$ | 412,000$ | |||||
Stanley Berger ![]() | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Timofey Solomonchak ![]() | C | 21 | 399,000$ | 399,000$ | |||||||
Vladilen Pishulin ![]() | LW | 21 | 384,000$ | 384,000$ | 384,000$ | 384,000$ | |||||
Yanik Hetu ![]() | D | 24 | 877,000$ | 877,000$ | |||||||
Yegor Kachkov ![]() | RW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
TOTAL | 17,472,000 $ | 10,340,000$ | 4,464,000$ | 980,000$ | 980,000$ | 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 |
37,772,500$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | The Palace | |
City | Atlanta | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 98$ | 58$ | 33$ | 23$ | 198$ |
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 |
37,772,500$ | 37,772,500$ | 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$ | 44,401,326$ | 44,401,326$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
28 yrs | LW | 58 | 35 | 95 | 93 | 92 | 99 | 73 | 96 | 67 | 87 | 63 | 58 | 95 | 37 | 86 | 36 | 81 | |
22 yrs | LW | 80 | 42 | 85 | 72 | 64 | 63 | 76 | 87 | 79 | 92 | 86 | 67 | 46 | 50 | 72 | 69 | 78 | |
34 yrs | LW | 52 | 63 | 86 | 77 | 79 | 74 | 92 | 95 | 67 | 47 | 87 | 97 | 91 | 71 | 93 | 8 | 77 | |
33 yrs | LW | 41 | 66 | 65 | 77 | 65 | 80 | 74 | 99 | 59 | 69 | 89 | 94 | 95 | 84 | 82 | 11 | 76 | |
25 yrs | LW | 59 | 48 | 88 | 77 | 59 | 99 | 54 | 87 | 80 | 86 | 37 | 79 | 45 | 37 | 76 | 48 | 73 | |
19 yrs | LW | 71 | 50 | 64 | 90 | 60 | 77 | 83 | 84 | 86 | 89 | 48 | 48 | 34 | 68 | 68 | 84 | 73 | |
20 yrs | LW | 73 | 31 | 89 | 89 | 90 | 57 | 50 | 80 | 71 | 79 | 44 | 43 | 44 | 41 | 69 | 71 | 69 | |
21 yrs | LW | 76 | 51 | 69 | 73 | 26 | 76 | 86 | 66 | 84 | 80 | 42 | 83 | 42 | 46 | 65 | 75 | 69 | |
Center | |||||||||||||||||||
34 yrs | C | 97 | 35 | 98 | 88 | 99 | 67 | 89 | 97 | 91 | 72 | 87 | 79 | 83 | 95 | 75 | 11 | 86 | |
32 yrs | C | 45 | 60 | 84 | 66 | 88 | 94 | 86 | 64 | 92 | 95 | 99 | 92 | 77 | 72 | 77 | 16 | 84 | |
29 yrs | C | 73 | 38 | 62 | 78 | 26 | 90 | 71 | 89 | 99 | 91 | 94 | 45 | 96 | 37 | 60 | 34 | 75 | |
23 yrs | C | 62 | 33 | 69 | 92 | 53 | 75 | 72 | 60 | 78 | 81 | 72 | 77 | 62 | 94 | 78 | 58 | 73 | |
24 yrs | C | 71 | 45 | 58 | 88 | 86 | 57 | 82 | 60 | 99 | 57 | 37 | 99 | 55 | 55 | 95 | 57 | 71 | |
29 yrs | C | 50 | 40 | 94 | 88 | 55 | 56 | 92 | 85 | 87 | 60 | 39 | 93 | 84 | 34 | 55 | 37 | 71 | |
21 yrs | C | 76 | 50 | 81 | 65 | 93 | 73 | 50 | 66 | 72 | 88 | 37 | 45 | 44 | 83 | 85 | 74 | 68 | |
20 yrs | C | 40 | 51 | 84 | 75 | 93 | 65 | 50 | 87 | 57 | 53 | 93 | 44 | 50 | 53 | 77 | 76 | 68 | |
24 yrs | C | 81 | 53 | 75 | 84 | 76 | 65 | 62 | 71 | 75 | 68 | 68 | 32 | 53 | 74 | 43 | 54 | 68 | |
Right Wing | |||||||||||||||||||
30 yrs | RW | 95 | 44 | 63 | 74 | 68 | 94 | 91 | 90 | 78 | 73 | 99 | 66 | 68 | 96 | 80 | 23 | 81 | |
30 yrs | RW | 85 | 54 | 94 | 69 | 92 | 90 | 50 | 96 | 72 | 79 | 87 | 69 | 53 | 46 | 97 | 29 | 80 | |
23 yrs | RW | 97 | 36 | 57 | 89 | 65 | 91 | 83 | 87 | 67 | 60 | 65 | 92 | 84 | 34 | 35 | 63 | 77 | |
31 yrs | RW | 59 | 39 | 93 | 83 | 58 | 70 | 61 | 60 | 83 | 92 | 96 | 74 | 54 | 42 | 34 | 18 | 76 | |
33 yrs | RW | 45 | 39 | 95 | 80 | 53 | 65 | 50 | 99 | 78 | 82 | 64 | 95 | 63 | 35 | 87 | 9 | 74 | |
28 yrs | RW | 39 | 38 | 83 | 84 | 84 | 95 | 76 | 93 | 52 | 61 | 67 | 59 | 80 | 84 | 80 | 30 | 74 | |
19 yrs | RW | 73 | 38 | 71 | 93 | 83 | 90 | 83 | 76 | 66 | 45 | 90 | 48 | 53 | 69 | 68 | 82 | 74 | |
33 yrs | RW | 49 | 49 | 68 | 79 | 86 | 59 | 92 | 77 | 97 | 51 | 97 | 48 | 78 | 67 | 69 | 7 | 72 | |
Defense | |||||||||||||||||||
32 yrs | D | 66 | 66 | 59 | 74 | 94 | 95 | 91 | 71 | 25 | 52 | 76 | 96 | 92 | 51 | 58 | 14 | 80 | |
29 yrs | D | 87 | 60 | 92 | 62 | 88 | 73 | 79 | 98 | 25 | 77 | 61 | 92 | 95 | 41 | 75 | 33 | 80 | |
35 yrs | D | 83 | 54 | 71 | 76 | 88 | 78 | 95 | 93 | 25 | 59 | 80 | 65 | 83 | 68 | 48 | 1 | 78 | |
24 yrs | D | 53 | 50 | 67 | 74 | 85 | 98 | 89 | 68 | 25 | 90 | 68 | 84 | 55 | 89 | 87 | 56 | 78 | |
36 yrs | D | 37 | 65 | 73 | 89 | 85 | 72 | 62 | 85 | 25 | 88 | 79 | 78 | 81 | 45 | 77 | 1 | 78 | |
20 yrs | D | 67 | 28 | 91 | 76 | 96 | 88 | 84 | 70 | 25 | 72 | 52 | 81 | 87 | 62 | 68 | 74 | 77 | |
32 yrs | D | 78 | 37 | 71 | 74 | 97 | 86 | 75 | 63 | 25 | 65 | 35 | 89 | 62 | 89 | 81 | 15 | 76 | |
34 yrs | D | 74 | 58 | 60 | 88 | 88 | 88 | 50 | 92 | 25 | 60 | 53 | 94 | 42 | 58 | 69 | 8 | 76 | |
36 yrs | D | 43 | 67 | 67 | 76 | 86 | 66 | 90 | 61 | 25 | 72 | 74 | 91 | 35 | 59 | 84 | 1 | 75 | |
22 yrs | D | 80 | 62 | 69 | 77 | 95 | 57 | 62 | 67 | 25 | 71 | 54 | 76 | 58 | 87 | 48 | 62 | 73 | |
22 yrs | D | 44 | 59 | 75 | 81 | 81 | 54 | 85 | 95 | 25 | 70 | 34 | 95 | 92 | 80 | 70 | 63 | 73 | |
24 yrs | D | 83 | 52 | 72 | 70 | 69 | 93 | 50 | 60 | 25 | 81 | 61 | 48 | 47 | 77 | 87 | 55 | 68 | |
32 yrs | D | 69 | 63 | 74 | 74 | 35 | 79 | 75 | 87 | 25 | 42 | 77 | 65 | 49 | 71 | 63 | 17 | 66 | |
21 yrs | D | 32 | 56 | 74 | 85 | 39 | 89 | 51 | 64 | 25 | 82 | 49 | 71 | 77 | 92 | 75 | 71 | 63 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
27 yrs | G | 99 | 99 | 92 | 69 | 91 | 99 | 60 | 62 | 98 | 65 | 65 | 70 | 42 | 44 | 50 | 83 | |
29 yrs | G | 86 | 78 | 84 | 66 | 53 | 99 | 99 | 88 | 63 | 96 | 81 | 46 | 60 | 27 | 50 | 81 | |
35 yrs | G | 62 | 81 | 75 | 81 | 71 | 94 | 79 | 78 | 57 | 71 | 92 | 87 | 73 | 2 | 50 | 75 | |
23 yrs | G | 59 | 51 | 90 | 67 | 78 | 79 | 74 | 69 | 80 | 90 | 54 | 76 | 57 | 64 | 50 | 74 | |
21 yrs | G | 57 | 64 | 80 | 64 | 80 | 71 | 72 | 46 | 67 | 83 | 51 | 39 | 84 | 73 | 50 | 68 |
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 | |||
---|---|---|---|---|---|---|---|
Joel Vestergren (C) | ![]() | 2 | Round: 5, Pick: 98 | GP: 0 G: 0 A:0 Pts: 0 | |||
Sebastian Dalziel (C) | ![]() | 2 | Round: 4, Pick: 94 | GP: 0 G: 0 A:0 Pts: 0 |
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 | |||
---|---|---|---|---|---|---|---|
Joel Vestergren (C) | ![]() | 2 | Round: 5, Pick: 98 | GP: 0 G: 0 A:0 Pts: 0 | |||
Sebastian Dalziel (C) | ![]() | 2 | Round: 4, Pick: 94 | GP: 0 G: 0 A:0 Pts: 0 |