![](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)
![](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 Spenrath | League Rank:13rd | Arena: The Sin Bin |
Conference: Southern Conference | Conference Rank:9th | Capacity:17,000 |
Division: South West | Division Rank:4th | Total Player Salaries:33,442,995$ |
Captain: Steve Banga | Last 10: 0-0-0 | Bank Account:55,821,294$ |
Coach: Hunter Loiselle | Home: 0-0-0 | |
All-Time Record: 72 W - 77 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
93 | ![]() | LW | 100.00 | 91 | 41 | 86 | 59 | 91 | 88 | 89 | 72 | 49 | 89 | 93 | 98 | 57 | 50 | 36 | 73 | 84 | 21 | 1,000,000$/2yrs | ||||
7 | ![]() | LW | 100.00 | 77 | 61 | 61 | 93 | 88 | 97 | 73 | 58 | 65 | 89 | 90 | 73 | 35 | 89 | 34 | 61 | 81 | 23 | 3,100,000$/4yrs | ||||
23 | ![]() | RW | 100.00 | 37 | 40 | 89 | 91 | 73 | 96 | 63 | 86 | 81 | 95 | 87 | 63 | 56 | 70 | 86 | 1 | 80 | 35 | 1,764,000$/1yrs | ||||
92 | ![]() | RW | 100.00 | 84 | 62 | 80 | 99 | 94 | 99 | 93 | 73 | 62 | 63 | 84 | 42 | 69 | 57 | 59 | 44 | 79 | 27 | 1,303,000$/3yrs | ||||
89 | ![]() | C | 100.00 | 81 | 60 | 90 | 59 | 57 | 95 | 95 | 76 | 73 | 82 | 51 | 99 | 68 | 57 | 37 | 50 | 78 | 26 | 1,839,995$/4yrs | ||||
19 | ![]() | C | 100.00 | 83 | 39 | 84 | 57 | 67 | 94 | 79 | 76 | 61 | 79 | 82 | 89 | 49 | 45 | 35 | 78 | 78 | 20 | 800,000$/2yrs | ||||
8 | ![]() | D | 100.00 | 96 | 64 | 91 | 80 | 99 | 67 | 91 | 85 | 25 | 71 | 77 | 79 | 95 | 66 | 89 | 37 | 83 | 28 | 1,015,000$/1yrs | ||||
44 | ![]() | D | 100.00 | 98 | 66 | 70 | 94 | 66 | 96 | 87 | 80 | 25 | 67 | 70 | 66 | 39 | 84 | 89 | 18 | 79 | 31 | 1,079,000$/3yrs | ||||
52 | ![]() | D | 100.00 | 91 | 36 | 74 | 78 | 97 | 69 | 52 | 86 | 25 | 86 | 66 | 76 | 36 | 49 | 84 | 44 | 77 | 26 | 818,000$/1yrs | ||||
5 | ![]() | D | 100.00 | 89 | 60 | 58 | 69 | 75 | 63 | 73 | 96 | 25 | 75 | 64 | 87 | 57 | 39 | 56 | 10 | 75 | 34 | 1,000,000$/1yrs | ||||
91 | ![]() | C | 100.00 | 50 | 55 | 77 | 82 | 99 | 73 | 79 | 97 | 79 | 93 | 81 | 99 | 38 | 84 | 66 | 39 | 85 | 27 | 3,600,000$/5yrs | ||||
79 | ![]() | LW | 100.00 | 93 | 61 | 90 | 64 | 89 | 99 | 63 | 78 | 79 | 91 | 69 | 63 | 94 | 68 | 36 | 12 | 79 | 32 | 1,850,000$/1yrs | ||||
39 | ![]() | C | 100.00 | 86 | 67 | 93 | 93 | 96 | 88 | 77 | 84 | 80 | 84 | 53 | 38 | 58 | 93 | 84 | 39 | 78 | 27 | 2,125,000$/4yrs | ||||
37 | ![]() | RW | 100.00 | 74 | 61 | 57 | 65 | 52 | 78 | 87 | 95 | 93 | 88 | 72 | 84 | 70 | 61 | 50 | 69 | 78 | 22 | 900,000$/2yrs | ||||
18 | ![]() | RW | 100.00 | 80 | 57 | 77 | 98 | 33 | 93 | 86 | 79 | 77 | 86 | 68 | 44 | 39 | 72 | 67 | 20 | 75 | 31 | 1,500,000$/1yrs | ||||
15 | ![]() | LW | 100.00 | 43 | 59 | 64 | 93 | 76 | 69 | 64 | 86 | 80 | 76 | 45 | 78 | 34 | 82 | 54 | 29 | 72 | 29 | 449,000$/2yrs | ||||
77 | ![]() | D | 100.00 | 62 | 40 | 85 | 85 | 94 | 64 | 94 | 99 | 25 | 88 | 78 | 58 | 75 | 69 | 57 | 41 | 82 | 28 | 2,750,000$/5yrs | ||||
82 | ![]() | D | 100.00 | 95 | 39 | 94 | 68 | 80 | 89 | 64 | 64 | 25 | 80 | 47 | 95 | 69 | 35 | 75 | 56 | 78 | 24 | 2,650,000$/4yrs | ||||
TEAM AVERAGE | 100.00 | 78 | 54 | 79 | 79 | 79 | 84 | 78 | 82 | 57 | 82 | 71 | 74 | 58 | 65 | 61 | 40 | 79 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31 | ![]() | 100.00 | 71 | 95 | 73 | 90 | 82 | 82 | 74 | 79 | 71 | 95 | 66 | 65 | 52 | 6 | 81 | 34 | 2,700,000$/1yrs |
1 | ![]() | 100.00 | 92 | 74 | 95 | 69 | 61 | 63 | 56 | 70 | 98 | 81 | 98 | 39 | 46 | 8 | 76 | 35 | 1,200,000$/1yrs |
TEAM AVERAGE | 100.00 | 82 | 85 | 84 | 80 | 72 | 73 | 65 | 75 | 85 | 88 | 82 | 52 | 49 | 7 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Hunter Loiselle | 87 | 77 | 69 | 62 | 99 | 37 | 75 | CAN | 36 | 1 | 400,000$ |
General Manager | Matt Spenrath |
---|
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 | 20 |
Contracts | 42/55 |
LTIR Players | 0 |
Voltage Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Antoni Petherbridge ![]() | LW | 23 | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | 3,100,000$ | ||||
Barnabas Vilezsal ![]() | RW | 27 | 1,303,000$ | 1,303,000$ | 1,303,000$ | 1,303,000$ | |||||
Clifford Nickles ![]() | C | 26 | 1,839,995$ | 1,839,995$ | 1,839,995$ | 1,839,995$ | 1,839,995$ | ||||
Cole Mcure ![]() | C | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dominic Saunderson ![]() | D | 28 | 1,015,000$ | 1,015,000$ | |||||||
Esra Rhine ![]() | RW | 31 | 1,500,000$ | 1,500,000$ | |||||||
Glynn Forsyth ![]() | LW | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Gore Tenney ![]() | LW | 29 | 449,000$ | 449,000$ | 449,000$ | ||||||
Innis Knox ![]() | G | 34 | 2,700,000$ | 2,700,000$ | |||||||
Kalervo Kivonen ![]() | D | 31 | 1,079,000$ | 1,079,000$ | 1,079,000$ | 1,079,000$ | |||||
Leon Christensen ![]() | RW | 35 | 1,764,000$ | 1,764,000$ | |||||||
Leonard Mcchesney ![]() | D | 34 | 1,000,000$ | 1,000,000$ | |||||||
Luca Almond ![]() | D | 26 | 818,000$ | 818,000$ | |||||||
Marly Ruttan ![]() | C | 27 | 2,125,000$ | 2,125,000$ | 2,125,000$ | 2,125,000$ | 2,125,000$ | ||||
Mathys Nemeth ![]() | RW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
R.J. Upton ![]() | LW | 32 | 1,850,000$ | 1,850,000$ | |||||||
Rhyse Andison ![]() | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||
Rio Pelchat ![]() | G | 35 | 1,200,000$ | 1,200,000$ | |||||||
Steve Banga ![]() | C | 27 | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | |||
Vladimir Khokhlachev ![]() | D | 24 | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | ||||
TOTAL | 33,442,995$ | 21,595,995$ | 18,446,995$ | 16,064,995$ | 6,350,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bradford Tribe ![]() | C | 28 | 1,225,000$ | 1,225,000$ | 1,225,000$ | ||||||
Cayden Macguigan ![]() | G | 22 | 0$ | 0$ | |||||||
Dean Rausse ![]() | D | 33 | 885,000$ | 885,000$ | |||||||
Elias Dansereau ![]() | C | 20 | 634,000$ | 634,000$ | 634,000$ | 634,000$ | |||||
Fitch Lennie ![]() | RW | 23 | 1,282,000$ | 1,282,000$ | 1,282,000$ | ||||||
Fraser Claveau ![]() | LW | 22 | 1,156,000$ | 1,156,000$ | |||||||
Grayson Jambrosich ![]() | D | 32 | 679,000$ | 679,000$ | |||||||
Horst Horcic ![]() | D | 22 | 1,313,000$ | 1,313,000$ | 1,313,000$ | 1,313,000$ | 1,313,000$ | ||||
Ivan Mlachnev ![]() | RW | 30 | 844,000$ | 844,000$ | 844,000$ | ||||||
Jason Johans ![]() | LW | 24 | 582,000$ | 582,000$ | 582,000$ | 582,000$ | |||||
Karl Pyy ![]() | G | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kuno Watter ![]() | RW | 21 | 1,465,000$ | 1,465,000$ | |||||||
Liam Casselman ![]() | D | 31 | 1,250,000$ | 1,250,000$ | |||||||
Maximilian Holm ![]() | G | 32 | 1,355,000$ | 1,355,000$ | |||||||
Micael Abraham ![]() | LW | 25 | 1,475,000$ | 1,475,000$ | 1,475,000$ | ||||||
Mikhail Balanovich ![]() | C | 20 | 610,220$ | 610,220$ | 610,220$ | 610,220$ | |||||
Rem Godin ![]() | LW | 24 | 932,000$ | 932,000$ | 932,000$ | 932,000$ | |||||
Stig Rosenqvist ![]() | C | 22 | 1,527,000$ | 1,527,000$ | 1,527,000$ | ||||||
Tomas Koch ![]() | D | 29 | 774,000$ | 774,000$ | 774,000$ | 774,000$ | |||||
Vaidas Indrisiunas ![]() | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Valentin Sekirko ![]() | D | 25 | 438,000$ | 438,000$ | 438,000$ | 438,000$ | |||||
Xander Henry ![]() | C | 27 | 1,225,000$ | 1,225,000$ | 1,225,000$ | ||||||
Yohann Gaudet ![]() | D | 21 | 1,815,000$ | 1,815,000$ | |||||||
TOTAL | 23,266,220 $ | 14,661,220$ | 6,283,220$ | 1,313,000$ | 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 |
33,442,995$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | The Sin Bin | |
City | Las Vegas | ||
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$ | 55$ | 30$ | 18$ | 190$ |
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 |
33,442,995$ | 33,442,995$ | 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$ | 55,821,294$ | 55,821,294$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
21 yrs | LW | 91 | 41 | 86 | 59 | 91 | 88 | 89 | 72 | 49 | 89 | 93 | 98 | 57 | 50 | 36 | 73 | 84 | |
23 yrs | LW | 77 | 61 | 61 | 93 | 88 | 97 | 73 | 58 | 65 | 89 | 90 | 73 | 35 | 89 | 34 | 61 | 81 | |
32 yrs | LW | 93 | 61 | 90 | 64 | 89 | 99 | 63 | 78 | 79 | 91 | 69 | 63 | 94 | 68 | 36 | 12 | 79 | |
25 yrs | LW | 51 | 56 | 70 | 83 | 69 | 99 | 59 | 94 | 77 | 82 | 48 | 82 | 64 | 37 | 84 | 52 | 76 | |
24 yrs | LW | 61 | 62 | 65 | 87 | 76 | 93 | 80 | 90 | 89 | 80 | 42 | 34 | 79 | 59 | 87 | 57 | 73 | |
24 yrs | LW | 47 | 50 | 72 | 69 | 79 | 80 | 57 | 96 | 95 | 86 | 56 | 50 | 55 | 52 | 34 | 52 | 72 | |
29 yrs | LW | 43 | 59 | 64 | 93 | 76 | 69 | 64 | 86 | 80 | 76 | 45 | 78 | 34 | 82 | 54 | 29 | 72 | |
22 yrs | LW | 40 | 34 | 91 | 69 | 87 | 74 | 66 | 85 | 59 | 68 | 82 | 33 | 41 | 35 | 81 | 69 | 69 | |
Center | |||||||||||||||||||
27 yrs | C | 50 | 55 | 77 | 82 | 99 | 73 | 79 | 97 | 79 | 93 | 81 | 99 | 38 | 84 | 66 | 39 | 85 | |
27 yrs | C | 86 | 67 | 93 | 93 | 96 | 88 | 77 | 84 | 80 | 84 | 53 | 38 | 58 | 93 | 84 | 39 | 78 | |
26 yrs | C | 81 | 60 | 90 | 59 | 57 | 95 | 95 | 76 | 73 | 82 | 51 | 99 | 68 | 57 | 37 | 50 | 78 | |
20 yrs | C | 83 | 39 | 84 | 57 | 67 | 94 | 79 | 76 | 61 | 79 | 82 | 89 | 49 | 45 | 35 | 78 | 78 | |
23 yrs | C | 69 | 48 | 72 | 92 | 95 | 60 | 71 | 83 | 56 | 72 | 69 | 71 | 44 | 66 | 53 | 61 | 75 | |
28 yrs | C | 59 | 44 | 63 | 62 | 59 | 99 | 89 | 92 | 78 | 66 | 88 | 54 | 62 | 83 | 53 | 33 | 74 | |
27 yrs | C | 76 | 61 | 81 | 83 | 99 | 91 | 52 | 89 | 90 | 51 | 66 | 49 | 57 | 99 | 96 | 39 | 73 | |
20 yrs | C | 91 | 45 | 76 | 62 | 87 | 62 | 73 | 70 | 82 | 61 | 64 | 75 | 77 | 76 | 80 | 74 | 71 | |
22 yrs | C | 74 | 46 | 72 | 78 | 73 | 52 | 87 | 67 | 88 | 78 | 68 | 27 | 86 | 29 | 75 | 65 | 69 | |
20 yrs | C | 37 | 28 | 87 | 94 | 31 | 51 | 55 | 72 | 63 | 60 | 37 | 39 | 84 | 45 | 64 | 78 | 56 | |
Right Wing | |||||||||||||||||||
35 yrs | RW | 37 | 40 | 89 | 91 | 73 | 96 | 63 | 86 | 81 | 95 | 87 | 63 | 56 | 70 | 86 | 1 | 80 | |
27 yrs | RW | 84 | 62 | 80 | 99 | 94 | 99 | 93 | 73 | 62 | 63 | 84 | 42 | 69 | 57 | 59 | 44 | 79 | |
22 yrs | RW | 74 | 61 | 57 | 65 | 52 | 78 | 87 | 95 | 93 | 88 | 72 | 84 | 70 | 61 | 50 | 69 | 78 | |
21 yrs | RW | 86 | 44 | 57 | 82 | 85 | 80 | 75 | 93 | 75 | 51 | 80 | 73 | 71 | 54 | 66 | 78 | 75 | |
31 yrs | RW | 80 | 57 | 77 | 98 | 33 | 93 | 86 | 79 | 77 | 86 | 68 | 44 | 39 | 72 | 67 | 20 | 75 | |
30 yrs | RW | 87 | 35 | 90 | 96 | 51 | 91 | 65 | 86 | 71 | 99 | 46 | 45 | 50 | 34 | 86 | 21 | 75 | |
23 yrs | RW | 83 | 38 | 71 | 61 | 81 | 71 | 79 | 84 | 91 | 42 | 70 | 95 | 82 | 64 | 74 | 64 | 73 | |
Defense | |||||||||||||||||||
28 yrs | D | 96 | 64 | 91 | 80 | 99 | 67 | 91 | 85 | 25 | 71 | 77 | 79 | 95 | 66 | 89 | 37 | 83 | |
28 yrs | D | 62 | 40 | 85 | 85 | 94 | 64 | 94 | 99 | 25 | 88 | 78 | 58 | 75 | 69 | 57 | 41 | 82 | |
31 yrs | D | 98 | 66 | 70 | 94 | 66 | 96 | 87 | 80 | 25 | 67 | 70 | 66 | 39 | 84 | 89 | 18 | 79 | |
24 yrs | D | 95 | 39 | 94 | 68 | 80 | 89 | 64 | 64 | 25 | 80 | 47 | 95 | 69 | 35 | 75 | 56 | 78 | |
26 yrs | D | 91 | 36 | 74 | 78 | 97 | 69 | 52 | 86 | 25 | 86 | 66 | 76 | 36 | 49 | 84 | 44 | 77 | |
21 yrs | D | 59 | 43 | 89 | 85 | 77 | 95 | 50 | 77 | 25 | 78 | 66 | 92 | 37 | 95 | 74 | 70 | 76 | |
31 yrs | D | 42 | 36 | 80 | 86 | 69 | 61 | 86 | 71 | 25 | 89 | 75 | 72 | 87 | 58 | 61 | 20 | 76 | |
32 yrs | D | 76 | 66 | 74 | 92 | 92 | 68 | 67 | 68 | 25 | 72 | 51 | 79 | 34 | 64 | 64 | 15 | 76 | |
29 yrs | D | 88 | 68 | 62 | 88 | 76 | 84 | 50 | 69 | 25 | 76 | 74 | 81 | 65 | 40 | 80 | 36 | 76 | |
34 yrs | D | 89 | 60 | 58 | 69 | 75 | 63 | 73 | 96 | 25 | 75 | 64 | 87 | 57 | 39 | 56 | 10 | 75 | |
22 yrs | D | 82 | 37 | 94 | 96 | 90 | 71 | 50 | 68 | 25 | 55 | 72 | 77 | 34 | 53 | 44 | 69 | 74 | |
33 yrs | D | 66 | 62 | 63 | 91 | 31 | 87 | 74 | 83 | 25 | 62 | 62 | 64 | 96 | 81 | 82 | 18 | 66 | |
25 yrs | D | 46 | 44 | 72 | 58 | 83 | 54 | 50 | 92 | 25 | 80 | 56 | 60 | 36 | 55 | 59 | 44 | 63 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
34 yrs | G | 71 | 95 | 73 | 90 | 82 | 82 | 74 | 79 | 71 | 95 | 66 | 65 | 52 | 6 | 50 | 81 | |
35 yrs | G | 92 | 74 | 95 | 69 | 61 | 63 | 56 | 70 | 98 | 81 | 98 | 39 | 46 | 8 | 50 | 76 | |
22 yrs | G | 86 | 89 | 76 | 94 | 72 | 54 | 70 | 91 | 59 | 63 | 97 | 76 | 47 | 67 | 50 | 75 | |
32 yrs | G | 71 | 88 | 50 | 83 | 87 | 68 | 61 | 81 | 73 | 59 | 56 | 93 | 40 | 18 | 50 | 72 | |
22 yrs | G | 46 | 71 | 66 | 65 | 60 | 65 | 94 | 71 | 89 | 52 | 83 | 73 | 72 | 64 | 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 | |||
---|---|---|---|---|---|---|---|
Brantt Mackaness (RW) | ![]() | 2 | Round: 5, Pick: 117 | GP: 0 G: 0 A:0 Pts: 0 | |||
Jason Krouse (RW) | ![]() | 2 | Round: 5, Pick: 113 | GP: 0 G: 0 A:0 Pts: 0 | |||
Zander Klersy (G) | ![]() | 2 | Round: 4, Pick: 85 | GP:0 W:0, SV%:0, GAA: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 | |||
---|---|---|---|---|---|---|---|
Brantt Mackaness (RW) | ![]() | 2 | Round: 5, Pick: 117 | GP: 0 G: 0 A:0 Pts: 0 | |||
Jason Krouse (RW) | ![]() | 2 | Round: 5, Pick: 113 | GP: 0 G: 0 A:0 Pts: 0 | |||
Zander Klersy (G) | ![]() | 2 | Round: 4, Pick: 85 | GP:0 W:0, SV%:0, GAA:0 |