![](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/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: Michael Green | League Rank:3rd | Arena: Queen Annes Revenge |
Conference: Southern Conference | Conference Rank:2nd | Capacity:17,000 |
Division: South East | Division Rank:1st | Total Player Salaries:44,803,000$ |
Captain: Ignaty Otlesnov | Last 10: 0-0-0 | Bank Account:46,692,593$ |
Coach: Ryan Laplante | Home: 0-0-0 | |
All-Time Record: 89 W - 60 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
81 | ![]() | C | 100.00 | 58 | 42 | 88 | 85 | 66 | 70 | 74 | 89 | 93 | 97 | 96 | 90 | 50 | 50 | 69 | 1 | 84 | 37 | 1,944,000$/1yrs | ||||
19 | ![]() | C | 100.00 | 91 | 37 | 94 | 95 | 66 | 99 | 64 | 83 | 83 | 84 | 97 | 71 | 91 | 76 | 62 | 7 | 84 | 35 | 2,094,000$/1yrs | ||||
10 | ![]() | C | 100.00 | 95 | 55 | 61 | 66 | 93 | 66 | 78 | 72 | 90 | 93 | 98 | 76 | 47 | 51 | 45 | 56 | 81 | 24 | 3,750,000$/4yrs | ||||
0 | ![]() | RW | 100.00 | 59 | 39 | 71 | 72 | 99 | 65 | 72 | 75 | 92 | 76 | 94 | 99 | 93 | 77 | 91 | 16 | 80 | 31 | 1,319,000$/2yrs | ||||
24 | ![]() | RW | 100.00 | 50 | 31 | 58 | 84 | 70 | 60 | 90 | 89 | 85 | 85 | 77 | 93 | 28 | 54 | 37 | 64 | 79 | 21 | 1,715,000$/1yrs | ||||
34 | ![]() | LW | 100.00 | 59 | 58 | 83 | 88 | 71 | 88 | 65 | 87 | 87 | 62 | 81 | 83 | 85 | 78 | 86 | 72 | 77 | 20 | 1,000,000$/2yrs | ||||
78 | ![]() | RW | 100.00 | 76 | 63 | 66 | 70 | 82 | 90 | 79 | 93 | 57 | 61 | 73 | 82 | 29 | 71 | 52 | 64 | 76 | 22 | 1,800,000$/4yrs | ||||
71 | ![]() | RW | 100.00 | 72 | 64 | 70 | 73 | 52 | 76 | 74 | 73 | 86 | 88 | 96 | 53 | 89 | 82 | 37 | 50 | 74 | 24 | 1,687,000$/2yrs | ||||
55 | ![]() | LW | 100.00 | 46 | 30 | 81 | 70 | 50 | 63 | 56 | 91 | 88 | 78 | 74 | 94 | 50 | 87 | 48 | 87 | 72 | 19 | 800,000$/2yrs | ||||
16 | ![]() | C | 100.00 | 62 | 35 | 88 | 52 | 61 | 68 | 82 | 83 | 86 | 52 | 90 | 87 | 48 | 80 | 49 | 63 | 72 | 22 | 1,800,000$/4yrs | ||||
57 | ![]() | LW | 100.00 | 45 | 33 | 61 | 52 | 77 | 53 | 84 | 90 | 78 | 81 | 71 | 68 | 46 | 38 | 55 | 68 | 71 | 21 | 800,000$/2yrs | ||||
18 | ![]() | D | 100.00 | 92 | 43 | 69 | 60 | 86 | 82 | 78 | 77 | 25 | 74 | 44 | 94 | 35 | 36 | 43 | 37 | 77 | 27 | 1,100,000$/3yrs | ||||
12 | ![]() | D | 100.00 | 93 | 41 | 69 | 58 | 67 | 62 | 86 | 99 | 25 | 88 | 42 | 98 | 59 | 70 | 42 | 22 | 76 | 30 | 939,000$/1yrs | ||||
14 | ![]() | D | 100.00 | 80 | 45 | 94 | 60 | 69 | 94 | 52 | 98 | 25 | 82 | 44 | 91 | 70 | 75 | 45 | 24 | 75 | 30 | 974,000$/2yrs | ||||
82 | ![]() | C | 100.00 | 76 | 58 | 79 | 91 | 78 | 97 | 62 | 91 | 91 | 80 | 95 | 40 | 86 | 79 | 50 | 3 | 80 | 36 | 3,950,000$/2yrs | ||||
21 | ![]() | RW | 100.00 | 93 | 57 | 67 | 56 | 54 | 85 | 55 | 95 | 97 | 99 | 86 | 94 | 48 | 39 | 61 | 30 | 80 | 28 | 4,250,000$/4yrs | ||||
70 | ![]() | LW | 100.00 | 86 | 50 | 67 | 62 | 95 | 73 | 86 | 90 | 68 | 78 | 68 | 72 | 48 | 56 | 81 | 41 | 77 | 27 | 693,000$/1yrs | ||||
42 | ![]() | D | 100.00 | 53 | 57 | 62 | 60 | 99 | 78 | 63 | 89 | 25 | 85 | 55 | 98 | 47 | 54 | 83 | 14 | 77 | 33 | 1,980,000$/3yrs | ||||
15 | ![]() | D | 100.00 | 64 | 44 | 81 | 94 | 85 | 80 | 74 | 97 | 25 | 57 | 77 | 60 | 64 | 63 | 68 | 65 | 77 | 22 | 1,999,000$/4yrs | ||||
4 | ![]() | D | 100.00 | 92 | 57 | 64 | 63 | 32 | 93 | 84 | 80 | 25 | 65 | 75 | 92 | 50 | 99 | 86 | 66 | 72 | 22 | 3,270,000$/5yrs | ||||
0 | ![]() | D | 100.00 | 49 | 60 | 70 | 56 | 61 | 99 | 71 | 84 | 25 | 70 | 41 | 97 | 72 | 44 | 57 | 3 | 71 | 35 | 2,300,000$/2yrs | ||||
44 | ![]() | D | 100.00 | 40 | 56 | 83 | 84 | 27 | 99 | 61 | 90 | 25 | 72 | 55 | 99 | 67 | 46 | 34 | 20 | 69 | 31 | 889,000$/3yrs | ||||
TEAM AVERAGE | 100.00 | 70 | 48 | 74 | 71 | 70 | 79 | 72 | 87 | 63 | 78 | 74 | 83 | 59 | 64 | 58 | 40 | 76 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
27 | ![]() | 100.00 | 65 | 56 | 97 | 74 | 99 | 87 | 72 | 94 | 99 | 89 | 93 | 77 | 47 | 47 | 83 | 26 | 2,050,000$/2yrs |
30 | ![]() | 100.00 | 67 | 91 | 70 | 79 | 68 | 75 | 86 | 72 | 80 | 78 | 88 | 55 | 43 | 73 | 77 | 20 | 900,000$/2yrs |
32 | ![]() | 100.00 | 63 | 60 | 72 | 99 | 93 | 83 | 66 | 68 | 77 | 92 | 82 | 78 | 78 | 74 | 77 | 21 | 800,000$/2yrs |
TEAM AVERAGE | 100.00 | 65 | 69 | 80 | 84 | 87 | 82 | 75 | 78 | 85 | 86 | 88 | 70 | 56 | 65 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Ryan Laplante | 35 | 52 | 99 | 94 | 69 | 91 | 33 | CAN | 51 | 3 | 800,000$ |
General Manager | Michael 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 |
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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 | 25 |
Contracts | 43/55 |
LTIR Players | 0 |
Privateers Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Dumont ![]() | G | 26 | 2,050,000$ | 2,050,000$ | 2,050,000$ | ||||||
Antonio Macphedron ![]() | LW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Cameron Lodewyks ![]() | C | 24 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||
Carl Stiles ![]() | D | 22 | 1,999,000$ | 1,999,000$ | 1,999,000$ | 1,999,000$ | 1,999,000$ | ||||
Chris Touhey ![]() | D | 31 | 889,000$ | 889,000$ | 889,000$ | 889,000$ | |||||
Danny Gourlie ![]() | LW | 27 | 693,000$ | 693,000$ | |||||||
Dominick Maclellan ![]() | RW | 21 | 1,715,000$ | 1,715,000$ | |||||||
Fernando Zanette ![]() | D | 27 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Guillaume Hanley ![]() | C | 37 | 1,944,000$ | 1,944,000$ | |||||||
Herb Edmond ![]() | RW | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||
Ignaty Otlesnov ![]() | D | 33 | 1,980,000$ | 1,980,000$ | 1,980,000$ | 1,980,000$ | |||||
Jean-Daniel Dhaliwal ![]() | G | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jessie Burgdoerfer ![]() | D | 30 | 974,000$ | 974,000$ | 974,000$ | ||||||
Kaiden Sabey ![]() | C | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||
Kerby Daviault ![]() | RW | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||
Logan Getliffe ![]() | LW | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Maddison Bilcke ![]() | RW | 24 | 1,687,000$ | 1,687,000$ | 1,687,000$ | ||||||
Olaf Patalong ![]() | G | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Oleg Svitov ![]() | D | 35 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
Ragnvald Myntti ![]() | RW | 31 | 1,319,000$ | 1,319,000$ | 1,319,000$ | ||||||
Ristian Vuojarvi ![]() | C | 35 | 2,094,000$ | 2,094,000$ | |||||||
Rong Zilei ![]() | LW | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Spencer Lafortune ![]() | D | 22 | 3,270,000$ | 3,270,000$ | 3,270,000$ | 3,270,000$ | 3,270,000$ | 3,270,000$ | |||
Zackary Nowry ![]() | C | 36 | 3,950,000$ | 3,950,000$ | 3,950,000$ | ||||||
Zander Fish ![]() | D | 30 | 939,000$ | 939,000$ | |||||||
TOTAL | 44,803,000$ | 37,418,000$ | 20,838,000$ | 16,869,000$ | 3,270,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alfred Rice ![]() | D | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Coleman Macnab ![]() | G | 21 | 1,675,000$ | 1,675,000$ | |||||||
Daniil Glebov ![]() | LW | 21 | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | ||||
Edouard Devlin ![]() | C | 26 | 903,000$ | 903,000$ | 903,000$ | ||||||
Frank Babic ![]() | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Gabe Kulchar ![]() | LW | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Gregory Lacombe ![]() | LW | 29 | 1,734,000$ | 1,734,000$ | 1,734,000$ | ||||||
Helge Welin ![]() | D | 28 | 257,000$ | 257,000$ | |||||||
Helmer Lager ![]() | RW | 36 | 734,000$ | 734,000$ | |||||||
Jody Sonntag ![]() | C | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kari-Petteri Malmborg ![]() | D | 31 | 534,000$ | 534,000$ | |||||||
Luke Stutzel ![]() | LW | 29 | 293,000$ | 293,000$ | |||||||
Martin-Olivier Rondeau ![]() | RW | 21 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Olli-Ville Arrak ![]() | G | 37 | 1,650,000$ | 1,650,000$ | |||||||
Shawn Scremin ![]() | D | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Steve Buckley ![]() | D | 28 | 454,000$ | 454,000$ | |||||||
Vasily Vodennikov ![]() | D | 34 | 750,000$ | 750,000$ | 750,000$ | ||||||
Vsevolod Boyarshinov ![]() | C | 33 | 1,199,000$ | 1,199,000$ | |||||||
TOTAL | 17,333,000 $ | 10,537,000$ | 3,350,000$ | 1,550,000$ | 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 |
44,803,000$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Queen Annes Revenge | |
City | Port City | ||
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$ | 35$ | 25$ | 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 |
44,803,000$ | 44,803,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 46,692,593$ | 46,692,593$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
27 yrs | LW | 86 | 50 | 67 | 62 | 95 | 73 | 86 | 90 | 68 | 78 | 68 | 72 | 48 | 56 | 81 | 41 | 77 | |
20 yrs | LW | 59 | 58 | 83 | 88 | 71 | 88 | 65 | 87 | 87 | 62 | 81 | 83 | 85 | 78 | 86 | 72 | 77 | |
19 yrs | LW | 46 | 30 | 81 | 70 | 50 | 63 | 56 | 91 | 88 | 78 | 74 | 94 | 50 | 87 | 48 | 87 | 72 | |
21 yrs | LW | 45 | 33 | 61 | 52 | 77 | 53 | 84 | 90 | 78 | 81 | 71 | 68 | 46 | 38 | 55 | 68 | 71 | |
29 yrs | LW | 35 | 66 | 67 | 54 | 86 | 90 | 55 | 61 | 65 | 95 | 95 | 38 | 92 | 63 | 46 | 34 | 70 | |
29 yrs | LW | 41 | 35 | 87 | 60 | 52 | 81 | 76 | 67 | 83 | 63 | 83 | 69 | 48 | 54 | 95 | 33 | 69 | |
24 yrs | LW | 31 | 67 | 75 | 59 | 74 | 81 | 57 | 80 | 90 | 40 | 65 | 92 | 65 | 86 | 85 | 58 | 67 | |
21 yrs | LW | 39 | 39 | 67 | 55 | 83 | 87 | 50 | 88 | 72 | 43 | 92 | 48 | 62 | 70 | 40 | 67 | 66 | |
22 yrs | LW | 63 | 30 | 91 | 82 | 56 | 60 | 66 | 73 | 56 | 55 | 42 | 89 | 89 | 94 | 44 | 72 | 66 | |
Center | |||||||||||||||||||
37 yrs | C | 58 | 42 | 88 | 85 | 66 | 70 | 74 | 89 | 93 | 97 | 96 | 90 | 50 | 50 | 69 | 1 | 84 | |
35 yrs | C | 91 | 37 | 94 | 95 | 66 | 99 | 64 | 83 | 83 | 84 | 97 | 71 | 91 | 76 | 62 | 7 | 84 | |
24 yrs | C | 95 | 55 | 61 | 66 | 93 | 66 | 78 | 72 | 90 | 93 | 98 | 76 | 47 | 51 | 45 | 56 | 81 | |
36 yrs | C | 76 | 58 | 79 | 91 | 78 | 97 | 62 | 91 | 91 | 80 | 95 | 40 | 86 | 79 | 50 | 3 | 80 | |
21 yrs | C | 89 | 57 | 89 | 79 | 71 | 74 | 57 | 96 | 80 | 82 | 47 | 78 | 83 | 87 | 86 | 68 | 75 | |
26 yrs | C | 67 | 64 | 64 | 84 | 66 | 99 | 50 | 83 | 77 | 83 | 58 | 71 | 40 | 65 | 94 | 47 | 74 | |
22 yrs | C | 62 | 35 | 88 | 52 | 61 | 68 | 82 | 83 | 86 | 52 | 90 | 87 | 48 | 80 | 49 | 63 | 72 | |
33 yrs | C | 94 | 68 | 80 | 64 | 73 | 63 | 71 | 62 | 60 | 67 | 64 | 93 | 79 | 61 | 39 | 6 | 71 | |
Right Wing | |||||||||||||||||||
28 yrs | RW | 93 | 57 | 67 | 56 | 54 | 85 | 55 | 95 | 97 | 99 | 86 | 94 | 48 | 39 | 61 | 30 | 80 | |
31 yrs | RW | 59 | 39 | 71 | 72 | 99 | 65 | 72 | 75 | 92 | 76 | 94 | 99 | 93 | 77 | 91 | 16 | 80 | |
21 yrs | RW | 50 | 31 | 58 | 84 | 70 | 60 | 90 | 89 | 85 | 85 | 77 | 93 | 28 | 54 | 37 | 64 | 79 | |
22 yrs | RW | 76 | 63 | 66 | 70 | 82 | 90 | 79 | 93 | 57 | 61 | 73 | 82 | 29 | 71 | 52 | 64 | 76 | |
36 yrs | RW | 59 | 66 | 72 | 75 | 93 | 65 | 50 | 71 | 60 | 75 | 81 | 93 | 49 | 63 | 36 | 1 | 74 | |
24 yrs | RW | 72 | 64 | 70 | 73 | 52 | 76 | 74 | 73 | 86 | 88 | 96 | 53 | 89 | 82 | 37 | 50 | 74 | |
21 yrs | RW | 41 | 48 | 68 | 60 | 72 | 54 | 74 | 59 | 57 | 89 | 73 | 56 | 67 | 67 | 98 | 67 | 66 | |
Defense | |||||||||||||||||||
33 yrs | D | 53 | 57 | 62 | 60 | 99 | 78 | 63 | 89 | 25 | 85 | 55 | 98 | 47 | 54 | 83 | 14 | 77 | |
27 yrs | D | 92 | 43 | 69 | 60 | 86 | 82 | 78 | 77 | 25 | 74 | 44 | 94 | 35 | 36 | 43 | 37 | 77 | |
22 yrs | D | 64 | 44 | 81 | 94 | 85 | 80 | 74 | 97 | 25 | 57 | 77 | 60 | 64 | 63 | 68 | 65 | 77 | |
30 yrs | D | 93 | 41 | 69 | 58 | 67 | 62 | 86 | 99 | 25 | 88 | 42 | 98 | 59 | 70 | 42 | 22 | 76 | |
30 yrs | D | 80 | 45 | 94 | 60 | 69 | 94 | 52 | 98 | 25 | 82 | 44 | 91 | 70 | 75 | 45 | 24 | 75 | |
31 yrs | D | 74 | 37 | 63 | 92 | 67 | 76 | 84 | 98 | 25 | 53 | 55 | 82 | 39 | 41 | 61 | 24 | 73 | |
22 yrs | D | 92 | 57 | 64 | 63 | 32 | 93 | 84 | 80 | 25 | 65 | 75 | 92 | 50 | 99 | 86 | 66 | 72 | |
24 yrs | D | 38 | 53 | 76 | 75 | 97 | 58 | 68 | 61 | 25 | 81 | 48 | 91 | 76 | 81 | 72 | 51 | 72 | |
34 yrs | D | 71 | 62 | 84 | 98 | 29 | 66 | 59 | 75 | 25 | 85 | 72 | 59 | 58 | 53 | 90 | 12 | 71 | |
35 yrs | D | 49 | 60 | 70 | 56 | 61 | 99 | 71 | 84 | 25 | 70 | 41 | 97 | 72 | 44 | 57 | 3 | 71 | |
20 yrs | D | 60 | 62 | 72 | 55 | 55 | 65 | 90 | 81 | 25 | 79 | 70 | 85 | 91 | 35 | 33 | 80 | 70 | |
31 yrs | D | 40 | 56 | 83 | 84 | 27 | 99 | 61 | 90 | 25 | 72 | 55 | 99 | 67 | 46 | 34 | 20 | 69 | |
28 yrs | D | 60 | 55 | 66 | 83 | 67 | 56 | 50 | 68 | 25 | 71 | 71 | 83 | 58 | 85 | 76 | 32 | 68 | |
28 yrs | D | 75 | 51 | 95 | 60 | 63 | 86 | 52 | 95 | 25 | 72 | 51 | 54 | 66 | 78 | 78 | 35 | 67 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
26 yrs | G | 65 | 56 | 97 | 74 | 99 | 87 | 72 | 94 | 99 | 89 | 93 | 77 | 47 | 47 | 50 | 83 | |
20 yrs | G | 67 | 91 | 70 | 79 | 68 | 75 | 86 | 72 | 80 | 78 | 88 | 55 | 43 | 73 | 50 | 77 | |
21 yrs | G | 63 | 60 | 72 | 99 | 93 | 83 | 66 | 68 | 77 | 92 | 82 | 78 | 78 | 74 | 50 | 77 | |
37 yrs | G | 74 | 83 | 51 | 93 | 55 | 71 | 81 | 83 | 62 | 87 | 89 | 48 | 57 | 1 | 50 | 74 | |
21 yrs | G | 57 | 65 | 50 | 83 | 70 | 82 | 51 | 94 | 69 | 81 | 94 | 83 | 69 | 76 | 50 | 70 |
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 |
---|