![](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 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 14 | RW | 100.00 | 53 | 55 | 69 | 75 | 63 | 84 | 90 | 63 | 48 | 51 | 87 | 90 | 55 | 88 | 36 | 67 | 50 | 71 | 23 | 1,900,000$/3yrs | |||
![]() | 0 | D | 100.00 | 96 | 56 | 75 | 79 | 63 | 82 | 70 | 70 | 25 | 83 | 77 | 51 | 65 | 41 | 37 | 30 | 50 | 74 | 28 | 1,000,000$/2yrs | |||
![]() | 63 | D | 100.00 | 47 | 42 | 68 | 97 | 34 | 92 | 96 | 70 | 25 | 76 | 55 | 58 | 93 | 66 | 53 | 1 | 50 | 66 | 34 | 739,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 34 | C | 100.00 | 80 | 45 | 70 | 92 | 75 | 85 | 92 | 63 | 80 | 55 | 96 | 63 | 59 | 38 | 40 | 67 | 50 | 76 | 22 | 1,900,000$/5yrs | |||
![]() | 61 | RW | 100.00 | 90 | 76 | 72 | 95 | 70 | 80 | 87 | 76 | 79 | 72 | 54 | 56 | 91 | 63 | 55 | 1 | 50 | 75 | 34 | 1,500,000$/2yrs | |||
![]() | 28 | LW | 100.00 | 58 | 38 | 85 | 65 | 50 | 81 | 85 | 92 | 86 | 59 | 83 | 80 | 79 | 66 | 98 | 3 | 50 | 74 | 33 | 614,000$/1yrs | |||
![]() | 82 | LW | 100.00 | 64 | 42 | 80 | 57 | 93 | 79 | 50 | 83 | 73 | 86 | 62 | 64 | 57 | 66 | 66 | 19 | 50 | 73 | 31 | 1,150,000$/2yrs | |||
![]() | 6 | C | 100.00 | 85 | 47 | 74 | 72 | 88 | 64 | 74 | 81 | 85 | 75 | 50 | 69 | 70 | 93 | 36 | 55 | 50 | 73 | 25 | 552,000$/3yrs | |||
![]() | 37 | LW | 100.00 | 65 | 57 | 67 | 76 | 96 | 95 | 62 | 79 | 79 | 42 | 67 | 74 | 49 | 72 | 43 | 9 | 50 | 72 | 34 | 1,000,000$/1yrs | |||
![]() | 80 | RW | 100.00 | 38 | 50 | 61 | 96 | 54 | 83 | 88 | 66 | 66 | 87 | 44 | 46 | 43 | 96 | 69 | 33 | 50 | 69 | 29 | 694,000$/1yrs | |||
![]() | 84 | LW | 100.00 | 71 | 63 | 64 | 56 | 51 | 96 | 50 | 69 | 59 | 89 | 84 | 43 | 62 | 92 | 88 | 25 | 50 | 68 | 30 | 1,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 72 | 57 | 83 | 74 | 42 | 62 | 89 | 86 | 89 | 50 | 65 | 56 | 71 | 93 | 88 | 72 | 50 | 67 | 22 | 840,000$/4yrs | |||
![]() | 23 | LW | 100.00 | 93 | 59 | 61 | 81 | 93 | 63 | 50 | 85 | 89 | 62 | 47 | 30 | 92 | 93 | 57 | 73 | 50 | 66 | 22 | 750,000$/5yrs | |||
![]() | 0 | LW | 100.00 | 53 | 66 | 68 | 69 | 66 | 67 | 71 | 68 | 87 | 36 | 64 | 88 | 88 | 80 | 55 | 61 | 50 | 65 | 24 | 750,000$/1yrs | |||
![]() | 64 | D | 100.00 | 71 | 55 | 70 | 99 | 98 | 67 | 85 | 72 | 25 | 70 | 55 | 55 | 80 | 42 | 83 | 49 | 50 | 75 | 25 | 1,300,000$/3yrs | |||
![]() | 48 | D | 100.00 | 44 | 55 | 87 | 61 | 94 | 70 | 50 | 72 | 25 | 71 | 60 | 87 | 82 | 49 | 58 | 15 | 50 | 70 | 33 | 800,000$/1yrs | |||
![]() | 51 | D | 100.00 | 73 | 37 | 83 | 60 | 90 | 64 | 50 | 98 | 25 | 51 | 37 | 76 | 86 | 98 | 99 | 4 | 50 | 67 | 35 | 1,150,000$/2yrs | |||
![]() | 16 | D | 100.00 | 56 | 54 | 68 | 75 | 62 | 77 | 81 | 91 | 25 | 44 | 65 | 49 | 75 | 48 | 61 | 2 | 50 | 67 | 34 | 404,000$/1yrs | |||
![]() | 4 | D | 100.00 | 86 | 35 | 84 | 76 | 81 | 50 | 55 | 85 | 25 | 43 | 43 | 67 | 70 | 78 | 95 | 76 | 50 | 66 | 20 | 800,000$/4yrs | |||
![]() | 12 | D | 100.00 | 58 | 60 | 67 | 57 | 55 | 52 | 52 | 56 | 25 | 45 | 67 | 86 | 61 | 98 | 86 | 67 | 50 | 60 | 23 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 51 | 79 | 84 | 82 | 78 | 70 | 99 | 52 | 71 | 93 | 96 | 43 | 88 | 54 | 50 | 76 | 24 | 1,504,000$/1yrs |
![]() | 70 | 100.00 | 92 | 74 | 87 | 71 | 59 | 52 | 73 | 72 | 66 | 99 | 71 | 79 | 87 | 21 | 50 | 74 | 31 | 1,675,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 41 | 100.00 | 56 | 74 | 63 | 71 | 68 | 88 | 92 | 90 | 64 | 53 | 64 | 50 | 75 | 44 | 50 | 72 | 25 | 1,227,500$/3yrs |
![]() | 40 | 100.00 | 71 | 71 | 58 | 77 | 78 | 54 | 74 | 71 | 85 | 52 | 77 | 64 | 80 | 12 | 50 | 69 | 34 | 1,000,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Gavin Flewelling |
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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 |
# | 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 |
---|
Player Name | POS | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bradley Filice ![]() | LW | 34 | 1,000,000$ | 1,000,000$ | |||||||
Brennan Knapp ![]() | C | 22 | 840,000$ | 840,000$ | 840,000$ | 840,000$ | 840,000$ | ||||
Carter Chilson ![]() | LW | 24 | 750,000$ | 750,000$ | |||||||
Damon Colclough ![]() | C | 25 | 552,000$ | 552,000$ | 552,000$ | 552,000$ | |||||
Dominic Burry ![]() | D | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Ernest Champlin ![]() | LW | 31 | 1,150,000$ | 1,150,000$ | 1,150,000$ | ||||||
Fyodor Romantsev ![]() | LW | 33 | 614,000$ | 614,000$ | |||||||
Gosta Jorgensen ![]() | D | 23 | 0$ | 0$ | |||||||
John Kaukinen ![]() | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Kearney OMulhill ![]() | RW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Loren Seeberg ![]() | G | 34 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Luis Henrich ![]() | G | 24 | 1,504,000$ | 1,504,000$ | |||||||
Martin Carlin ![]() | D | 33 | 800,000$ | 800,000$ | |||||||
Milan Radon ![]() | RW | 29 | 694,000$ | 694,000$ | |||||||
Norman Dobrescu ![]() | LW | 22 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||
Oleg Kremzer ![]() | D | 35 | 1,150,000$ | 1,150,000$ | 1,150,000$ | ||||||
Oralbay Karimov ![]() | D | 34 | 739,000$ | 739,000$ | |||||||
Ray Miinanen ![]() | G | 25 | 1,227,500$ | 1,227,500$ | 1,227,500$ | 1,227,500$ | |||||
Sergio Bazzani ![]() | G | 31 | 1,675,000$ | 1,675,000$ | 1,675,000$ | ||||||
Steven Pinsonneault ![]() | C | 22 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||
Tai Danxiang ![]() | D | 34 | 404,000$ | 404,000$ | |||||||
Ted Duca ![]() | RW | 23 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Val Cuming ![]() | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ||||
Vesa-Pekka Kuru ![]() | LW | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ |
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 |
2,449,950$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | New Orleans | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
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$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,449,950$ | 2,449,950$ | 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$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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