![](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: Casey Schuhmacher | League Rank:9th | Arena: Hollywood Coliseum |
Conference: Southern Conference | Conference Rank:5th | Capacity:17,000 |
Division: South West | Division Rank:2nd | Total Player Salaries:38,563,500$ |
Captain: Vladimir Zayev | Last 10: 0-0-0 | Bank Account:43,827,061$ |
Coach: Linus Sodergren | Home: 0-0-0 | |
All-Time Record: 67 W - 78 L - 15 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
91 | ![]() | RW | 100.00 | 79 | 37 | 61 | 71 | 68 | 99 | 91 | 81 | 79 | 93 | 76 | 94 | 89 | 98 | 47 | 17 | 83 | 31 | 3,500,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 72 | 68 | 82 | 73 | 54 | 99 | 88 | 83 | 85 | 99 | 62 | 83 | 47 | 99 | 65 | 20 | 81 | 32 | 1,044,000$/1yrs | ||||
7 | ![]() | LW | 100.00 | 80 | 48 | 97 | 76 | 89 | 95 | 69 | 67 | 87 | 68 | 87 | 81 | 91 | 90 | 68 | 3 | 80 | 36 | 2,500,000$/1yrs | ||||
17 | ![]() | C | 100.00 | 92 | 68 | 92 | 85 | 65 | 97 | 75 | 80 | 99 | 67 | 97 | 63 | 74 | 97 | 68 | 25 | 80 | 31 | 2,500,000$/1yrs | ||||
27 | ![]() | RW | 100.00 | 83 | 57 | 65 | 81 | 87 | 96 | 88 | 77 | 79 | 45 | 87 | 93 | 78 | 89 | 59 | 74 | 79 | 20 | 1,000,000$/2yrs | ||||
0 | ![]() | LW | 100.00 | 79 | 55 | 80 | 67 | 99 | 93 | 91 | 63 | 97 | 53 | 84 | 72 | 97 | 77 | 40 | 40 | 78 | 27 | 983,000$/1yrs | ||||
95 | ![]() | C | 100.00 | 68 | 51 | 84 | 92 | 69 | 78 | 95 | 74 | 68 | 84 | 59 | 80 | 43 | 93 | 63 | 25 | 78 | 29 | 719,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 86 | 41 | 84 | 97 | 78 | 67 | 91 | 60 | 49 | 82 | 58 | 82 | 89 | 99 | 89 | 44 | 77 | 26 | 1,008,000$/1yrs | ||||
0 | ![]() | RW | 100.00 | 86 | 64 | 83 | 90 | 99 | 79 | 63 | 91 | 68 | 76 | 55 | 58 | 64 | 68 | 62 | 39 | 77 | 27 | 735,000$/3yrs | ||||
97 | ![]() | C | 100.00 | 54 | 67 | 67 | 86 | 82 | 86 | 77 | 83 | 82 | 76 | 48 | 81 | 37 | 46 | 54 | 21 | 76 | 30 | 764,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 78 | 53 | 95 | 97 | 92 | 79 | 70 | 90 | 25 | 65 | 56 | 94 | 88 | 47 | 79 | 11 | 82 | 34 | 1,239,000$/1yrs | ||||
85 | ![]() | D | 100.00 | 97 | 35 | 78 | 66 | 99 | 83 | 57 | 89 | 25 | 80 | 56 | 84 | 80 | 90 | 48 | 43 | 79 | 26 | 1,800,000$/1yrs | ||||
78 | ![]() | D | 100.00 | 76 | 68 | 96 | 95 | 98 | 80 | 89 | 60 | 25 | 66 | 76 | 52 | 51 | 84 | 46 | 4 | 78 | 34 | 1,000,000$/3yrs | ||||
73 | ![]() | D | 100.00 | 78 | 35 | 83 | 79 | 85 | 60 | 95 | 69 | 25 | 73 | 45 | 88 | 44 | 87 | 97 | 12 | 76 | 33 | 1,300,000$/2yrs | ||||
3 | ![]() | D | 100.00 | 92 | 48 | 80 | 84 | 50 | 98 | 83 | 78 | 25 | 62 | 74 | 60 | 86 | 87 | 74 | 4 | 75 | 34 | 1,044,000$/1yrs | ||||
62 | ![]() | D | 100.00 | 98 | 68 | 96 | 67 | 51 | 64 | 50 | 85 | 25 | 86 | 64 | 99 | 38 | 93 | 74 | 54 | 75 | 25 | 1,537,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 99 | 37 | 64 | 59 | 69 | 96 | 87 | 83 | 98 | 83 | 65 | 64 | 38 | 55 | 48 | 1 | 78 | 36 | 1,500,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 47 | 47 | 80 | 57 | 99 | 95 | 72 | 94 | 93 | 94 | 39 | 67 | 47 | 74 | 41 | 68 | 77 | 22 | 1,813,000$/4yrs | ||||
0 | ![]() | LW | 100.00 | 84 | 66 | 78 | 87 | 73 | 63 | 68 | 70 | 52 | 54 | 95 | 98 | 40 | 68 | 35 | 36 | 74 | 28 | 1,450,000$/1yrs | ||||
47 | ![]() | LW | 100.00 | 78 | 69 | 74 | 94 | 75 | 89 | 71 | 77 | 54 | 60 | 53 | 76 | 36 | 45 | 73 | 2 | 73 | 35 | 1,300,000$/2yrs | ||||
48 | ![]() | D | 100.00 | 74 | 51 | 74 | 89 | 84 | 88 | 50 | 95 | 25 | 73 | 58 | 85 | 84 | 44 | 45 | 10 | 77 | 32 | 3,050,000$/4yrs | ||||
56 | ![]() | D | 100.00 | 96 | 54 | 92 | 81 | 87 | 79 | 53 | 98 | 25 | 45 | 71 | 62 | 38 | 79 | 81 | 33 | 73 | 28 | 850,000$/2yrs | ||||
52 | ![]() | D | 100.00 | 47 | 55 | 61 | 95 | 74 | 96 | 50 | 89 | 25 | 55 | 57 | 84 | 60 | 61 | 55 | 65 | 71 | 22 | 800,000$/2yrs | ||||
TEAM AVERAGE | 100.00 | 79 | 54 | 80 | 81 | 79 | 85 | 75 | 80 | 57 | 71 | 66 | 78 | 63 | 77 | 61 | 28 | 77 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | ![]() | 100.00 | 65 | 99 | 99 | 73 | 64 | 99 | 59 | 98 | 93 | 98 | 50 | 88 | 75 | 36 | 85 | 29 | 1,985,000$/2yrs |
1 | ![]() | 100.00 | 97 | 99 | 67 | 82 | 96 | 70 | 78 | 56 | 62 | 67 | 92 | 64 | 96 | 25 | 77 | 30 | 1,602,500$/2yrs |
33 | ![]() | 100.00 | 64 | 92 | 81 | 83 | 95 | 56 | 80 | 54 | 91 | 72 | 84 | 50 | 47 | 41 | 77 | 28 | 1,540,000$/3yrs |
TEAM AVERAGE | 100.00 | 75 | 97 | 82 | 79 | 85 | 75 | 72 | 69 | 82 | 79 | 75 | 67 | 73 | 34 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Linus Sodergren | 48 | 91 | 92 | 52 | 78 | 77 | 58 | SWE | 47 | 3 | 1,000,000$ |
General Manager | Casey Schuhmacher |
---|
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 | 26 |
Contracts | 51/55 |
LTIR Players | 0 |
Dynasty Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Sipula ![]() | G | 30 | 1,602,500$ | 1,602,500$ | 1,602,500$ | ||||||
Andrew Blenman ![]() | D | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Anton Lebed ![]() | RW | 27 | 735,000$ | 735,000$ | 735,000$ | 735,000$ | |||||
Blair Kuntz ![]() | D | 34 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Braydon Trinh ![]() | LW | 27 | 983,000$ | 983,000$ | |||||||
Darian Chalmers ![]() | D | 26 | 1,800,000$ | 1,800,000$ | |||||||
Dru Delisle ![]() | RW | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Eyck Eismann ![]() | D | 34 | 1,044,000$ | 1,044,000$ | |||||||
J.T. Macleish ![]() | G | 29 | 1,985,000$ | 1,985,000$ | 1,985,000$ | ||||||
Jaiden Moar ![]() | C | 31 | 2,500,000$ | 2,500,000$ | |||||||
Kaj Spets ![]() | D | 25 | 1,537,000$ | 1,537,000$ | 1,537,000$ | 1,537,000$ | |||||
Kjell Van Der Kooi ![]() | C | 22 | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | 1,813,000$ | ||||
Laurent Presswood ![]() | D | 34 | 1,239,000$ | 1,239,000$ | |||||||
Lee Metcalfe ![]() | LW | 36 | 2,500,000$ | 2,500,000$ | |||||||
Magnus Pimm ![]() | G | 28 | 1,540,000$ | 1,540,000$ | 1,540,000$ | 1,540,000$ | |||||
Marc-Antoine Sookro ![]() | D | 28 | 850,000$ | 850,000$ | 850,000$ | ||||||
Marcos Pendlebury ![]() | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Misko Bureau ![]() | D | 32 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | ||||
Pablo Lipp ![]() | LW | 35 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Pyotr Zarubayev ![]() | C | 30 | 764,000$ | 764,000$ | 764,000$ | ||||||
Randy Meritie ![]() | C | 32 | 1,044,000$ | 1,044,000$ | |||||||
Romeo Rocca ![]() | LW | 28 | 1,450,000$ | 1,450,000$ | |||||||
Sacha Taverner ![]() | LW | 36 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Valentin Midyushko ![]() | C | 29 | 719,000$ | 719,000$ | 719,000$ | ||||||
Vladimir Zayev ![]() | RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Wade OCuirneen ![]() | RW | 26 | 1,008,000$ | 1,008,000$ | |||||||
TOTAL | 38,563,500$ | 24,995,500$ | 13,175,000$ | 4,863,000$ | 0$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anatoliy Potochnyak ![]() | D | 27 | 664,000$ | 664,000$ | 664,000$ | ||||||
Beauregard Pantall ![]() | D | 24 | 537,000$ | 537,000$ | 537,000$ | 537,000$ | |||||
Billy Fonteyne ![]() | LW | 26 | 998,354$ | 998,354$ | 998,354$ | 998,354$ | 998,354$ | ||||
Brendyn Ellis ![]() | C | 20 | 512,000$ | 512,000$ | 512,000$ | 512,000$ | |||||
Bruno-Carl Young ![]() | RW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Dennis Wilks ![]() | RW | 21 | 1,865,000$ | 1,865,000$ | |||||||
Duncan Dorowicz ![]() | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dunmore Heckman ![]() | RW | 27 | 953,000$ | 953,000$ | |||||||
Feliks Pirttijarvi ![]() | G | 26 | 1,267,500$ | 1,267,500$ | 1,267,500$ | 1,267,500$ | |||||
Gennady Plyakin ![]() | RW | 32 | 674,000$ | 674,000$ | 674,000$ | ||||||
Geordie Mcgee ![]() | LW | 27 | 493,000$ | 493,000$ | 493,000$ | ||||||
Gino Genua ![]() | LW | 24 | 1,770,000$ | 1,770,000$ | 1,770,000$ | ||||||
Gregory Wieman ![]() | D | 23 | 860,587$ | 860,587$ | 860,587$ | ||||||
Jerry Malmkvist ![]() | LW | 21 | 1,255,000$ | 1,255,000$ | |||||||
Kory Ellis ![]() | D | 22 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||
Leo Panas ![]() | C | 30 | 1,654,865$ | 1,654,865$ | 1,654,865$ | 1,654,865$ | |||||
Mace Purpur ![]() | RW | 21 | 304,000$ | 304,000$ | |||||||
Mack Macdiarmid ![]() | LW | 36 | 1,414,000$ | 1,414,000$ | |||||||
Mark Uglov ![]() | D | 26 | 288,000$ | 288,000$ | |||||||
Nigel Hagen ![]() | G | 26 | 1,365,000$ | 1,365,000$ | |||||||
Reece Leinweber ![]() | D | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Timothee Braun ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Torsten Orsa ![]() | C | 30 | 1,200,000$ | 1,200,000$ | |||||||
Vladimir Aleksandrov ![]() | D | 20 | 234,000$ | 234,000$ | 234,000$ | 234,000$ | |||||
Yakov Shukayev ![]() | C | 23 | 314,000$ | 314,000$ | 314,000$ | 314,000$ | |||||
TOTAL | 23,923,306 $ | 15,279,306$ | 8,317,719$ | 3,798,354$ | 1,300,000$ | 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 |
38,563,500$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Hollywood Coliseum | |
City | Los Angeles | ||
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 |
38,563,500$ | 38,563,500$ | 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$ | 43,827,061$ | 43,827,061$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
36 yrs | LW | 80 | 48 | 97 | 76 | 89 | 95 | 69 | 67 | 87 | 68 | 87 | 81 | 91 | 90 | 68 | 3 | 80 | |
36 yrs | LW | 99 | 37 | 64 | 59 | 69 | 96 | 87 | 83 | 98 | 83 | 65 | 64 | 38 | 55 | 48 | 1 | 78 | |
27 yrs | LW | 79 | 55 | 80 | 67 | 99 | 93 | 91 | 63 | 97 | 53 | 84 | 72 | 97 | 77 | 40 | 40 | 78 | |
21 yrs | LW | 52 | 39 | 81 | 76 | 95 | 66 | 75 | 66 | 64 | 69 | 80 | 89 | 48 | 67 | 48 | 72 | 75 | |
24 yrs | LW | 58 | 51 | 58 | 56 | 73 | 65 | 76 | 72 | 79 | 81 | 97 | 77 | 92 | 47 | 58 | 62 | 74 | |
28 yrs | LW | 84 | 66 | 78 | 87 | 73 | 63 | 68 | 70 | 52 | 54 | 95 | 98 | 40 | 68 | 35 | 36 | 74 | |
27 yrs | LW | 61 | 45 | 98 | 74 | 67 | 74 | 93 | 76 | 84 | 54 | 85 | 61 | 59 | 49 | 75 | 44 | 73 | |
35 yrs | LW | 78 | 69 | 74 | 94 | 75 | 89 | 71 | 77 | 54 | 60 | 53 | 76 | 36 | 45 | 73 | 2 | 73 | |
26 yrs | LW | 75 | 56 | 91 | 63 | 70 | 62 | 69 | 68 | 98 | 93 | 52 | 73 | 34 | 86 | 90 | 48 | 73 | |
36 yrs | LW | 97 | 53 | 59 | 95 | 41 | 62 | 73 | 66 | 60 | 69 | 67 | 95 | 73 | 83 | 77 | 3 | 71 | |
Center | |||||||||||||||||||
32 yrs | C | 72 | 68 | 82 | 73 | 54 | 99 | 88 | 83 | 85 | 99 | 62 | 83 | 47 | 99 | 65 | 20 | 81 | |
31 yrs | C | 92 | 68 | 92 | 85 | 65 | 97 | 75 | 80 | 99 | 67 | 97 | 63 | 74 | 97 | 68 | 25 | 80 | |
29 yrs | C | 68 | 51 | 84 | 92 | 69 | 78 | 95 | 74 | 68 | 84 | 59 | 80 | 43 | 93 | 63 | 25 | 78 | |
22 yrs | C | 47 | 47 | 80 | 57 | 99 | 95 | 72 | 94 | 93 | 94 | 39 | 67 | 47 | 74 | 41 | 68 | 77 | |
30 yrs | C | 54 | 67 | 67 | 86 | 82 | 86 | 77 | 83 | 82 | 76 | 48 | 81 | 37 | 46 | 54 | 21 | 76 | |
30 yrs | C | 54 | 39 | 98 | 84 | 57 | 99 | 69 | 77 | 71 | 47 | 97 | 72 | 78 | 85 | 69 | 21 | 74 | |
30 yrs | C | 82 | 43 | 60 | 71 | 95 | 63 | 82 | 85 | 64 | 74 | 61 | 62 | 63 | 60 | 62 | 29 | 73 | |
23 yrs | C | 60 | 41 | 81 | 57 | 56 | 53 | 58 | 80 | 65 | 80 | 95 | 39 | 35 | 77 | 46 | 63 | 66 | |
20 yrs | C | 40 | 51 | 81 | 81 | 49 | 60 | 61 | 89 | 79 | 62 | 83 | 26 | 92 | 68 | 50 | 76 | 64 | |
Right Wing | |||||||||||||||||||
31 yrs | RW | 79 | 37 | 61 | 71 | 68 | 99 | 91 | 81 | 79 | 93 | 76 | 94 | 89 | 98 | 47 | 17 | 83 | |
20 yrs | RW | 83 | 57 | 65 | 81 | 87 | 96 | 88 | 77 | 79 | 45 | 87 | 93 | 78 | 89 | 59 | 74 | 79 | |
26 yrs | RW | 86 | 41 | 84 | 97 | 78 | 67 | 91 | 60 | 49 | 82 | 58 | 82 | 89 | 99 | 89 | 44 | 77 | |
27 yrs | RW | 86 | 64 | 83 | 90 | 99 | 79 | 63 | 91 | 68 | 76 | 55 | 58 | 64 | 68 | 62 | 39 | 77 | |
22 yrs | RW | 33 | 49 | 65 | 64 | 55 | 83 | 90 | 91 | 49 | 82 | 93 | 91 | 54 | 86 | 33 | 70 | 76 | |
27 yrs | RW | 79 | 61 | 69 | 98 | 39 | 86 | 82 | 96 | 59 | 96 | 60 | 34 | 90 | 89 | 78 | 46 | 74 | |
21 yrs | RW | 75 | 34 | 88 | 50 | 75 | 62 | 80 | 88 | 90 | 72 | 89 | 34 | 75 | 83 | 61 | 67 | 71 | |
22 yrs | RW | 74 | 59 | 77 | 91 | 80 | 84 | 65 | 62 | 90 | 44 | 54 | 66 | 59 | 69 | 79 | 67 | 69 | |
32 yrs | RW | 92 | 63 | 82 | 91 | 50 | 85 | 70 | 69 | 94 | 78 | 38 | 30 | 82 | 62 | 77 | 22 | 68 | |
21 yrs | RW | 81 | 57 | 71 | 51 | 40 | 81 | 66 | 86 | 75 | 55 | 35 | 89 | 41 | 45 | 97 | 72 | 64 | |
Defense | |||||||||||||||||||
34 yrs | D | 78 | 53 | 95 | 97 | 92 | 79 | 70 | 90 | 25 | 65 | 56 | 94 | 88 | 47 | 79 | 11 | 82 | |
26 yrs | D | 97 | 35 | 78 | 66 | 99 | 83 | 57 | 89 | 25 | 80 | 56 | 84 | 80 | 90 | 48 | 43 | 79 | |
34 yrs | D | 76 | 68 | 96 | 95 | 98 | 80 | 89 | 60 | 25 | 66 | 76 | 52 | 51 | 84 | 46 | 4 | 78 | |
32 yrs | D | 74 | 51 | 74 | 89 | 84 | 88 | 50 | 95 | 25 | 73 | 58 | 85 | 84 | 44 | 45 | 10 | 77 | |
33 yrs | D | 78 | 35 | 83 | 79 | 85 | 60 | 95 | 69 | 25 | 73 | 45 | 88 | 44 | 87 | 97 | 12 | 76 | |
34 yrs | D | 92 | 48 | 80 | 84 | 50 | 98 | 83 | 78 | 25 | 62 | 74 | 60 | 86 | 87 | 74 | 4 | 75 | |
25 yrs | D | 98 | 68 | 96 | 67 | 51 | 64 | 50 | 85 | 25 | 86 | 64 | 99 | 38 | 93 | 74 | 54 | 75 | |
22 yrs | D | 88 | 62 | 59 | 82 | 87 | 78 | 76 | 67 | 25 | 49 | 67 | 82 | 36 | 79 | 87 | 65 | 75 | |
28 yrs | D | 96 | 54 | 92 | 81 | 87 | 79 | 53 | 98 | 25 | 45 | 71 | 62 | 38 | 79 | 81 | 33 | 73 | |
27 yrs | D | 69 | 39 | 67 | 89 | 89 | 64 | 89 | 61 | 25 | 76 | 52 | 60 | 96 | 84 | 58 | 41 | 72 | |
22 yrs | D | 75 | 53 | 61 | 78 | 93 | 57 | 70 | 66 | 25 | 63 | 58 | 76 | 80 | 91 | 68 | 71 | 72 | |
22 yrs | D | 47 | 55 | 61 | 95 | 74 | 96 | 50 | 89 | 25 | 55 | 57 | 84 | 60 | 61 | 55 | 65 | 71 | |
23 yrs | D | 66 | 64 | 56 | 54 | 87 | 59 | 81 | 72 | 25 | 94 | 65 | 55 | 46 | 92 | 72 | 56 | 70 | |
27 yrs | D | 86 | 67 | 96 | 75 | 71 | 54 | 70 | 63 | 25 | 45 | 62 | 70 | 36 | 85 | 72 | 36 | 69 | |
20 yrs | D | 85 | 58 | 55 | 69 | 56 | 88 | 50 | 81 | 25 | 68 | 64 | 57 | 34 | 92 | 39 | 84 | 67 | |
24 yrs | D | 52 | 64 | 57 | 75 | 91 | 60 | 55 | 68 | 25 | 62 | 71 | 62 | 66 | 34 | 65 | 54 | 67 | |
26 yrs | D | 63 | 39 | 77 | 90 | 29 | 57 | 87 | 61 | 25 | 59 | 36 | 86 | 51 | 59 | 86 | 46 | 64 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
29 yrs | G | 65 | 99 | 99 | 73 | 64 | 99 | 59 | 98 | 93 | 98 | 50 | 88 | 75 | 36 | 50 | 85 | |
30 yrs | G | 97 | 99 | 67 | 82 | 96 | 70 | 78 | 56 | 62 | 67 | 92 | 64 | 96 | 25 | 50 | 77 | |
28 yrs | G | 64 | 92 | 81 | 83 | 95 | 56 | 80 | 54 | 91 | 72 | 84 | 50 | 47 | 41 | 50 | 77 | |
26 yrs | G | 58 | 66 | 80 | 83 | 56 | 87 | 94 | 65 | 62 | 60 | 49 | 95 | 94 | 43 | 50 | 71 | |
26 yrs | G | 72 | 84 | 78 | 70 | 81 | 73 | 66 | 61 | 50 | 61 | 62 | 64 | 98 | 46 | 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 |
---|