![](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: Mike Bell | League Rank:21st | Arena: Round Table Arena |
Conference: Northern Conference | Conference Rank:9th | Capacity:17,000 |
Division: North East USA | Division Rank:3rd | Total Player Salaries:36,487,000$ |
Captain: Glynn Simpson | Last 10: 0-0-0 | Bank Account:40,493,409$ |
Coach: Lucas Berthet | Home: 0-0-0 | |
All-Time Record: 80 W - 62 L - 18 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28 | ![]() | RW | 100.00 | 99 | 37 | 77 | 77 | 83 | 99 | 79 | 81 | 91 | 99 | 81 | 91 | 55 | 45 | 59 | 24 | 87 | 30 | 2,374,000$/1yrs | ||||
7 | ![]() | RW | 100.00 | 84 | 69 | 63 | 62 | 65 | 97 | 93 | 89 | 90 | 96 | 86 | 92 | 57 | 99 | 72 | 4 | 85 | 34 | 1,819,000$/1yrs | ||||
12 | ![]() | C | 100.00 | 94 | 63 | 89 | 99 | 80 | 72 | 72 | 89 | 73 | 96 | 98 | 63 | 58 | 57 | 57 | 40 | 84 | 27 | 1,938,000$/3yrs | ||||
21 | ![]() | LW | 100.00 | 85 | 42 | 82 | 77 | 87 | 92 | 51 | 82 | 85 | 90 | 82 | 96 | 47 | 69 | 55 | 15 | 83 | 32 | 1,829,000$/1yrs | ||||
99 | ![]() | C | 100.00 | 39 | 38 | 55 | 94 | 97 | 88 | 79 | 82 | 80 | 92 | 99 | 66 | 84 | 57 | 66 | 65 | 83 | 22 | 1,000,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 99 | 53 | 67 | 99 | 57 | 99 | 64 | 85 | 54 | 86 | 54 | 91 | 87 | 69 | 65 | 40 | 79 | 27 | 1,463,000$/2yrs | ||||
78 | ![]() | RW | 100.00 | 83 | 59 | 92 | 87 | 86 | 91 | 91 | 64 | 78 | 50 | 95 | 69 | 51 | 81 | 79 | 49 | 78 | 26 | 1,347,000$/1yrs | ||||
88 | ![]() | LW | 100.00 | 78 | 43 | 67 | 86 | 93 | 91 | 67 | 75 | 73 | 87 | 84 | 40 | 84 | 35 | 80 | 80 | 78 | 20 | 900,000$/2yrs | ||||
47 | ![]() | C | 100.00 | 70 | 29 | 72 | 92 | 91 | 93 | 80 | 60 | 64 | 76 | 81 | 60 | 32 | 58 | 97 | 67 | 77 | 21 | 2,065,000$/1yrs | ||||
0 | ![]() | RW | 100.00 | 52 | 40 | 59 | 71 | 98 | 78 | 65 | 71 | 57 | 84 | 93 | 88 | 32 | 48 | 82 | 69 | 77 | 22 | 900,000$/2yrs | ||||
19 | ![]() | LW | 100.00 | 37 | 35 | 88 | 65 | 91 | 97 | 71 | 86 | 54 | 85 | 86 | 48 | 94 | 49 | 44 | 1 | 76 | 35 | 1,649,000$/1yrs | ||||
89 | ![]() | LW | 100.00 | 85 | 50 | 76 | 64 | 51 | 85 | 77 | 77 | 84 | 51 | 99 | 94 | 58 | 53 | 59 | 25 | 75 | 30 | 1,209,000$/1yrs | ||||
8 | ![]() | C | 100.00 | 49 | 36 | 73 | 91 | 83 | 67 | 96 | 81 | 58 | 49 | 65 | 98 | 42 | 38 | 52 | 4 | 74 | 35 | 789,000$/1yrs | ||||
28 | ![]() | D | 100.00 | 89 | 69 | 93 | 87 | 95 | 61 | 50 | 93 | 25 | 76 | 81 | 72 | 94 | 79 | 59 | 25 | 79 | 29 | 1,700,000$/1yrs | ||||
2 | ![]() | D | 100.00 | 93 | 39 | 91 | 61 | 75 | 89 | 83 | 83 | 25 | 50 | 59 | 96 | 52 | 62 | 38 | 15 | 77 | 32 | 1,309,000$/1yrs | ||||
32 | ![]() | D | 100.00 | 70 | 98 | 74 | 76 | 76 | 64 | 84 | 64 | 25 | 58 | 67 | 94 | 63 | 99 | 86 | 2 | 76 | 35 | 769,000$/1yrs | ||||
93 | ![]() | D | 100.00 | 63 | 68 | 93 | 93 | 84 | 93 | 67 | 98 | 25 | 41 | 56 | 70 | 43 | 40 | 88 | 16 | 75 | 33 | 1,602,000$/1yrs | ||||
16 | ![]() | C | 100.00 | 83 | 61 | 89 | 60 | 55 | 99 | 96 | 69 | 99 | 50 | 65 | 46 | 56 | 90 | 75 | 40 | 70 | 27 | 2,875,000$/3yrs | ||||
56 | ![]() | RW | 100.00 | 83 | 60 | 67 | 63 | 59 | 89 | 65 | 76 | 58 | 41 | 79 | 92 | 39 | 51 | 81 | 14 | 69 | 32 | 1,400,000$/2yrs | ||||
86 | ![]() | D | 100.00 | 69 | 49 | 89 | 85 | 94 | 94 | 96 | 68 | 25 | 91 | 71 | 79 | 44 | 72 | 96 | 38 | 83 | 27 | 2,900,000$/5yrs | ||||
92 | ![]() | D | 100.00 | 90 | 55 | 94 | 86 | 77 | 89 | 54 | 98 | 25 | 89 | 49 | 81 | 65 | 92 | 72 | 27 | 79 | 30 | 2,000,000$/3yrs | ||||
2 | ![]() | D | 100.00 | 99 | 97 | 89 | 77 | 84 | 81 | 61 | 75 | 25 | 86 | 76 | 64 | 86 | 91 | 78 | 37 | 78 | 28 | 840,000$/3yrs | ||||
TEAM AVERAGE | 100.00 | 77 | 54 | 79 | 80 | 80 | 87 | 75 | 79 | 58 | 74 | 78 | 77 | 60 | 65 | 70 | 32 | 78 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33 | ![]() | 100.00 | 64 | 79 | 89 | 80 | 77 | 98 | 94 | 80 | 63 | 90 | 80 | 38 | 55 | 14 | 81 | 32 | 1,810,000$/1yrs |
TEAM AVERAGE | 100.00 | 64 | 79 | 89 | 80 | 77 | 98 | 94 | 80 | 63 | 90 | 80 | 38 | 55 | 14 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Lucas Berthet | 56 | 41 | 90 | 29 | 52 | 74 | 79 | FRA | 54 | 3 | 1,000,000$ |
General Manager | Mike Bell |
---|
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 | 23 |
Contracts | 49/55 |
LTIR Players | 0 |
Knights Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Bruton ![]() | C | 21 | 2,065,000$ | 2,065,000$ | |||||||
Culley Sprouse ![]() | RW | 34 | 1,819,000$ | 1,819,000$ | |||||||
Davide Mock ![]() | D | 28 | 840,000$ | 840,000$ | 840,000$ | 840,000$ | |||||
Felix-Andre Kert ![]() | C | 27 | 2,875,000$ | 2,875,000$ | 2,875,000$ | 2,875,000$ | |||||
Floyd Holst ![]() | RW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Glynn Simpson ![]() | D | 27 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | |||
Ingemar Sjoberg ![]() | G | 32 | 1,810,000$ | 1,810,000$ | |||||||
Jonny Roman ![]() | LW | 30 | 1,209,000$ | 1,209,000$ | |||||||
Kodi Lapalme ![]() | D | 29 | 1,700,000$ | 1,700,000$ | |||||||
Leonard Ananin ![]() | RW | 30 | 2,374,000$ | 2,374,000$ | |||||||
Lew Voyce ![]() | D | 33 | 1,602,000$ | 1,602,000$ | |||||||
Marty Epton ![]() | D | 35 | 769,000$ | 769,000$ | |||||||
Olin Wylde ![]() | RW | 26 | 1,347,000$ | 1,347,000$ | |||||||
Pietari Nordlund ![]() | C | 35 | 789,000$ | 789,000$ | |||||||
Reinhold Lahdo ![]() | LW | 32 | 1,829,000$ | 1,829,000$ | |||||||
Stefan Gordon ![]() | RW | 27 | 1,463,000$ | 1,463,000$ | 1,463,000$ | ||||||
Timothy Chisholm ![]() | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Toby Hornbrook ![]() | D | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Tomas Rydval ![]() | C | 27 | 1,938,000$ | 1,938,000$ | 1,938,000$ | 1,938,000$ | |||||
Trafim Zaleski ![]() | RW | 32 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Uno Thun ![]() | LW | 35 | 1,649,000$ | 1,649,000$ | |||||||
Vilppu Lavinen ![]() | D | 32 | 1,309,000$ | 1,309,000$ | |||||||
Yefim Sazonov ![]() | LW | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
TOTAL | 36,487,000$ | 16,216,000$ | 10,553,000$ | 2,900,000$ | 2,900,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Albert Brkljaca ![]() | G | 25 | 1,365,000$ | 1,365,000$ | 1,365,000$ | 1,365,000$ | |||||
Anthony Heintze ![]() | C | 32 | 900,000$ | 900,000$ | |||||||
Brayden Calkins ![]() | D | 20 | 935,000$ | 935,000$ | 935,000$ | 935,000$ | |||||
Bryan Weiss ![]() | C | 22 | 600,000$ | 600,000$ | 600,000$ | 600,000$ | |||||
Damien Mosienko ![]() | D | 20 | 1,470,000$ | 1,470,000$ | |||||||
E.J. Makin ![]() | C | 31 | 699,000$ | 699,000$ | 699,000$ | ||||||
Fitzgerald Foot ![]() | G | 20 | 1,187,500$ | 1,187,500$ | 1,187,500$ | ||||||
Grant Giliati ![]() | RW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Gunner Zol ![]() | C | 37 | 929,000$ | 929,000$ | |||||||
Haywood Vyse ![]() | RW | 35 | 1,044,000$ | 1,044,000$ | |||||||
Holger Hammargren ![]() | LW | 36 | 404,000$ | 404,000$ | |||||||
Jean-Daniel Angotti ![]() | D | 32 | 404,000$ | 404,000$ | 404,000$ | 404,000$ | |||||
Jessey Partridge ![]() | RW | 20 | 0$ | 0$ | |||||||
Jonas Drbohlav ![]() | G | 36 | 1,596,026$ | 1,596,026$ | 1,596,026$ | ||||||
Justin Marcil ![]() | LW | 20 | 0$ | 0$ | |||||||
Kolby Whitecotton ![]() | D | 22 | 1,956,500$ | 1,956,500$ | 1,956,500$ | 1,956,500$ | 1,956,500$ | ||||
Lachlan Zilligen ![]() | D | 28 | 659,000$ | 659,000$ | 659,000$ | 659,000$ | |||||
Lev Gonchar ![]() | D | 33 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Lindell Reynolds ![]() | LW | 34 | 1,129,000$ | 1,129,000$ | |||||||
Motoichi Marugo ![]() | LW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Olin Bryenton ![]() | D | 31 | 359,000$ | 359,000$ | 359,000$ | ||||||
Remy Stellick ![]() | D | 35 | 704,000$ | 704,000$ | |||||||
Rico Suellentrop ![]() | G | 22 | 2,499,999$ | 2,499,999$ | 2,499,999$ | 2,499,999$ | 2,499,999$ | ||||
Ruslan Pohe ![]() | C | 20 | 1,030,000$ | 1,030,000$ | |||||||
Vili-Antti Nevakivi ![]() | LW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||
Vinny Menzies ![]() | RW | 26 | 672,000$ | 672,000$ | 672,000$ | 672,000$ | |||||
Ziggy Lundy ![]() | D | 28 | 419,000$ | 419,000$ | 419,000$ | 419,000$ | |||||
Zmitser Lukashew ![]() | LW | 32 | 700,000$ | 700,000$ | |||||||
TOTAL | 27,562,025 $ | 19,252,025$ | 12,510,499$ | 5,956,499$ | 1,500,000$ | 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 |
36,487,000$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Round Table Arena | |
City | New York 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$ | 60$ | 35$ | 20$ | 145$ |
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 |
36,487,000$ | 36,487,000$ | 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$ | 40,493,409$ | 40,493,409$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
32 yrs | LW | 85 | 42 | 82 | 77 | 87 | 92 | 51 | 82 | 85 | 90 | 82 | 96 | 47 | 69 | 55 | 15 | 83 | |
20 yrs | LW | 78 | 43 | 67 | 86 | 93 | 91 | 67 | 75 | 73 | 87 | 84 | 40 | 84 | 35 | 80 | 80 | 78 | |
35 yrs | LW | 37 | 35 | 88 | 65 | 91 | 97 | 71 | 86 | 54 | 85 | 86 | 48 | 94 | 49 | 44 | 1 | 76 | |
30 yrs | LW | 85 | 50 | 76 | 64 | 51 | 85 | 77 | 77 | 84 | 51 | 99 | 94 | 58 | 53 | 59 | 25 | 75 | |
34 yrs | LW | 83 | 41 | 71 | 54 | 84 | 77 | 87 | 70 | 99 | 55 | 68 | 99 | 51 | 42 | 99 | 2 | 75 | |
23 yrs | LW | 72 | 61 | 81 | 80 | 90 | 66 | 78 | 75 | 59 | 46 | 75 | 69 | 44 | 67 | 56 | 64 | 71 | |
32 yrs | LW | 43 | 50 | 97 | 66 | 70 | 95 | 60 | 61 | 75 | 71 | 91 | 46 | 66 | 40 | 73 | 20 | 70 | |
36 yrs | LW | 73 | 62 | 91 | 91 | 68 | 54 | 72 | 96 | 65 | 47 | 61 | 67 | 36 | 74 | 94 | 1 | 69 | |
28 yrs | LW | 46 | 42 | 90 | 95 | 61 | 80 | 61 | 68 | 87 | 57 | 78 | 53 | 91 | 49 | 61 | 40 | 69 | |
20 yrs | LW | 94 | 29 | 55 | 80 | 68 | 88 | 69 | 71 | 88 | 38 | 65 | 29 | 55 | 68 | 54 | 82 | 65 | |
Center | |||||||||||||||||||
27 yrs | C | 94 | 63 | 89 | 99 | 80 | 72 | 72 | 89 | 73 | 96 | 98 | 63 | 58 | 57 | 57 | 40 | 84 | |
22 yrs | C | 39 | 38 | 55 | 94 | 97 | 88 | 79 | 82 | 80 | 92 | 99 | 66 | 84 | 57 | 66 | 65 | 83 | |
21 yrs | C | 70 | 29 | 72 | 92 | 91 | 93 | 80 | 60 | 64 | 76 | 81 | 60 | 32 | 58 | 97 | 67 | 77 | |
31 yrs | C | 66 | 56 | 68 | 59 | 75 | 91 | 92 | 81 | 76 | 61 | 67 | 92 | 53 | 55 | 45 | 14 | 75 | |
32 yrs | C | 87 | 63 | 77 | 60 | 80 | 80 | 84 | 85 | 80 | 83 | 46 | 54 | 46 | 54 | 73 | 15 | 74 | |
35 yrs | C | 49 | 36 | 73 | 91 | 83 | 67 | 96 | 81 | 58 | 49 | 65 | 98 | 42 | 38 | 52 | 4 | 74 | |
22 yrs | C | 73 | 62 | 88 | 96 | 54 | 85 | 76 | 70 | 92 | 82 | 65 | 31 | 52 | 49 | 59 | 66 | 73 | |
37 yrs | C | 75 | 42 | 77 | 82 | 69 | 65 | 74 | 75 | 58 | 81 | 81 | 45 | 63 | 90 | 78 | 1 | 72 | |
27 yrs | C | 83 | 61 | 89 | 60 | 55 | 99 | 96 | 69 | 99 | 50 | 65 | 46 | 56 | 90 | 75 | 40 | 70 | |
20 yrs | C | 37 | 60 | 71 | 64 | 88 | 69 | 76 | 78 | 74 | 49 | 47 | 72 | 57 | 79 | 87 | 82 | 66 | |
Right Wing | |||||||||||||||||||
30 yrs | RW | 99 | 37 | 77 | 77 | 83 | 99 | 79 | 81 | 91 | 99 | 81 | 91 | 55 | 45 | 59 | 24 | 87 | |
34 yrs | RW | 84 | 69 | 63 | 62 | 65 | 97 | 93 | 89 | 90 | 96 | 86 | 92 | 57 | 99 | 72 | 4 | 85 | |
27 yrs | RW | 99 | 53 | 67 | 99 | 57 | 99 | 64 | 85 | 54 | 86 | 54 | 91 | 87 | 69 | 65 | 40 | 79 | |
26 yrs | RW | 83 | 59 | 92 | 87 | 86 | 91 | 91 | 64 | 78 | 50 | 95 | 69 | 51 | 81 | 79 | 49 | 78 | |
22 yrs | RW | 52 | 40 | 59 | 71 | 98 | 78 | 65 | 71 | 57 | 84 | 93 | 88 | 32 | 48 | 82 | 69 | 77 | |
33 yrs | RW | 33 | 68 | 90 | 68 | 72 | 79 | 70 | 93 | 74 | 43 | 96 | 94 | 40 | 59 | 55 | 8 | 74 | |
35 yrs | RW | 97 | 61 | 86 | 58 | 93 | 93 | 66 | 83 | 59 | 38 | 96 | 60 | 94 | 80 | 98 | 1 | 73 | |
26 yrs | RW | 46 | 36 | 80 | 82 | 83 | 67 | 81 | 86 | 73 | 45 | 75 | 64 | 98 | 97 | 69 | 41 | 70 | |
32 yrs | RW | 83 | 60 | 67 | 63 | 59 | 89 | 65 | 76 | 58 | 41 | 79 | 92 | 39 | 51 | 81 | 14 | 69 | |
20 yrs | RW | 92 | 47 | 80 | 76 | 49 | 89 | 83 | 58 | 57 | 45 | 62 | 77 | 64 | 49 | 68 | 80 | 68 | |
Defense | |||||||||||||||||||
27 yrs | D | 69 | 49 | 89 | 85 | 94 | 94 | 96 | 68 | 25 | 91 | 71 | 79 | 44 | 72 | 96 | 38 | 83 | |
30 yrs | D | 90 | 55 | 94 | 86 | 77 | 89 | 54 | 98 | 25 | 89 | 49 | 81 | 65 | 92 | 72 | 27 | 79 | |
29 yrs | D | 89 | 69 | 93 | 87 | 95 | 61 | 50 | 93 | 25 | 76 | 81 | 72 | 94 | 79 | 59 | 25 | 79 | |
28 yrs | D | 99 | 97 | 89 | 77 | 84 | 81 | 61 | 75 | 25 | 86 | 76 | 64 | 86 | 91 | 78 | 37 | 78 | |
32 yrs | D | 93 | 39 | 91 | 61 | 75 | 89 | 83 | 83 | 25 | 50 | 59 | 96 | 52 | 62 | 38 | 15 | 77 | |
35 yrs | D | 70 | 98 | 74 | 76 | 76 | 64 | 84 | 64 | 25 | 58 | 67 | 94 | 63 | 99 | 86 | 2 | 76 | |
28 yrs | D | 75 | 46 | 88 | 63 | 97 | 73 | 73 | 99 | 25 | 82 | 66 | 67 | 38 | 89 | 50 | 32 | 76 | |
33 yrs | D | 63 | 68 | 93 | 93 | 84 | 93 | 67 | 98 | 25 | 41 | 56 | 70 | 43 | 40 | 88 | 16 | 75 | |
33 yrs | D | 69 | 69 | 87 | 72 | 76 | 82 | 54 | 90 | 25 | 54 | 96 | 64 | 99 | 57 | 46 | 16 | 73 | |
35 yrs | D | 47 | 46 | 60 | 88 | 70 | 76 | 59 | 68 | 25 | 88 | 75 | 64 | 54 | 68 | 55 | 1 | 73 | |
31 yrs | D | 86 | 62 | 76 | 84 | 62 | 61 | 79 | 64 | 25 | 67 | 61 | 64 | 55 | 87 | 42 | 24 | 70 | |
22 yrs | D | 46 | 37 | 51 | 57 | 71 | 70 | 87 | 82 | 25 | 70 | 60 | 96 | 49 | 67 | 39 | 68 | 70 | |
32 yrs | D | 82 | 81 | 90 | 65 | 48 | 85 | 75 | 50 | 25 | 85 | 53 | 55 | 82 | 57 | 89 | 13 | 68 | |
20 yrs | D | 80 | 60 | 62 | 79 | 70 | 77 | 50 | 85 | 25 | 52 | 65 | 58 | 58 | 65 | 95 | 76 | 67 | |
28 yrs | D | 65 | 40 | 70 | 71 | 27 | 68 | 62 | 67 | 25 | 86 | 64 | 52 | 59 | 82 | 89 | 38 | 64 | |
20 yrs | D | 70 | 33 | 74 | 85 | 26 | 59 | 65 | 66 | 25 | 68 | 38 | 88 | 85 | 94 | 50 | 81 | 62 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
32 yrs | G | 64 | 79 | 89 | 80 | 77 | 98 | 94 | 80 | 63 | 90 | 80 | 38 | 55 | 14 | 50 | 81 | |
22 yrs | G | 80 | 83 | 73 | 96 | 74 | 66 | 76 | 82 | 60 | 67 | 57 | 77 | 86 | 68 | 50 | 76 | |
36 yrs | G | 61 | 76 | 52 | 83 | 75 | 48 | 75 | 90 | 51 | 98 | 99 | 53 | 44 | 5 | 50 | 71 | |
25 yrs | G | 67 | 69 | 88 | 70 | 62 | 50 | 94 | 55 | 63 | 70 | 87 | 97 | 84 | 53 | 50 | 69 | |
20 yrs | G | 58 | 50 | 77 | 62 | 48 | 72 | 60 | 79 | 57 | 58 | 66 | 53 | 82 | 77 | 50 | 62 |
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 |
---|