![](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: Joe Larson | League Rank:7th | Arena: Wabanaki Arena |
Conference: Northern Conference | Conference Rank:3rd | Capacity:17,000 |
Division: North East USA | Division Rank:1st | Total Player Salaries:41,768,262$ |
Captain: Charlie Esau | Last 10: 0-0-0 | Bank Account:50,050,160$ |
Coach: | Home: 0-0-0 | |
All-Time Record: 91 W - 51 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
97 | ![]() | C | 100.00 | 63 | 65 | 82 | 92 | 84 | 88 | 78 | 80 | 95 | 77 | 93 | 99 | 71 | 96 | 71 | 44 | 85 | 27 | 1,753,000$/3yrs | ||||
87 | ![]() | C | 100.00 | 76 | 47 | 74 | 91 | 93 | 99 | 51 | 72 | 98 | 70 | 85 | 77 | 47 | 82 | 97 | 18 | 80 | 32 | 1,429,000$/3yrs | ||||
22 | ![]() | RW | 100.00 | 47 | 64 | 96 | 95 | 58 | 66 | 69 | 70 | 88 | 78 | 99 | 96 | 77 | 77 | 78 | 43 | 79 | 27 | 1,443,000$/1yrs | ||||
61 | ![]() | LW | 100.00 | 82 | 47 | 81 | 96 | 76 | 85 | 81 | 91 | 55 | 46 | 93 | 86 | 95 | 52 | 82 | 1 | 79 | 34 | 1,384,000$/1yrs | ||||
19 | ![]() | LW | 100.00 | 79 | 50 | 70 | 85 | 92 | 68 | 88 | 98 | 69 | 93 | 72 | 42 | 42 | 91 | 83 | 63 | 79 | 22 | 900,000$/2yrs | ||||
12 | ![]() | C | 100.00 | 90 | 61 | 91 | 64 | 82 | 75 | 59 | 72 | 78 | 81 | 86 | 86 | 89 | 48 | 57 | 29 | 78 | 30 | 2,923,297$/4yrs | ||||
68 | ![]() | LW | 100.00 | 70 | 51 | 62 | 86 | 73 | 96 | 50 | 78 | 66 | 65 | 99 | 87 | 65 | 77 | 56 | 1 | 77 | 37 | 2,888,991$/2yrs | ||||
9 | ![]() | C | 100.00 | 88 | 53 | 96 | 98 | 65 | 76 | 88 | 68 | 97 | 47 | 78 | 84 | 52 | 36 | 46 | 20 | 77 | 32 | 2,450,809$/3yrs | ||||
5 | ![]() | RW | 100.00 | 63 | 47 | 78 | 89 | 88 | 87 | 50 | 84 | 65 | 55 | 93 | 83 | 85 | 91 | 64 | 34 | 76 | 29 | 960,000$/3yrs | ||||
0 | ![]() | C | 100.00 | 61 | 54 | 66 | 61 | 60 | 92 | 52 | 88 | 99 | 51 | 99 | 90 | 95 | 35 | 81 | 32 | 73 | 29 | 2,152,232$/4yrs | ||||
37 | ![]() | D | 100.00 | 72 | 68 | 89 | 78 | 44 | 84 | 96 | 91 | 25 | 83 | 79 | 99 | 58 | 62 | 79 | 24 | 79 | 30 | 1,209,000$/3yrs | ||||
7 | ![]() | D | 100.00 | 97 | 45 | 77 | 94 | 62 | 88 | 50 | 78 | 25 | 71 | 52 | 96 | 93 | 35 | 75 | 57 | 76 | 24 | 1,597,000$/3yrs | ||||
33 | ![]() | D | 100.00 | 83 | 52 | 95 | 91 | 56 | 75 | 87 | 75 | 25 | 73 | 51 | 85 | 94 | 81 | 66 | 29 | 76 | 30 | 2,888,991$/3yrs | ||||
17 | ![]() | LW | 100.00 | 96 | 64 | 80 | 85 | 62 | 87 | 73 | 94 | 86 | 86 | 68 | 91 | 67 | 44 | 86 | 22 | 82 | 31 | 2,990,570$/3yrs | ||||
8 | ![]() | RW | 100.00 | 52 | 49 | 77 | 81 | 60 | 86 | 94 | 83 | 70 | 98 | 83 | 47 | 41 | 95 | 86 | 34 | 78 | 29 | 2,647,145$/4yrs | ||||
0 | ![]() | RW | 100.00 | 38 | 45 | 81 | 61 | 76 | 88 | 56 | 65 | 61 | 72 | 97 | 99 | 76 | 51 | 99 | 1 | 74 | 34 | 1,828,579$/1yrs | ||||
11 | ![]() | D | 100.00 | 67 | 56 | 90 | 99 | 71 | 99 | 95 | 77 | 25 | 82 | 73 | 86 | 70 | 85 | 98 | 20 | 83 | 30 | 2,767,798$/1yrs | ||||
28 | ![]() | D | 100.00 | 42 | 58 | 90 | 90 | 97 | 96 | 50 | 97 | 25 | 71 | 59 | 84 | 66 | 48 | 91 | 12 | 77 | 32 | 979,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 43 | 49 | 98 | 62 | 99 | 99 | 56 | 66 | 25 | 78 | 36 | 92 | 45 | 67 | 68 | 23 | 75 | 31 | 1,630,843$/3yrs | ||||
31 | ![]() | D | 100.00 | 37 | 48 | 89 | 85 | 74 | 76 | 57 | 72 | 25 | 86 | 51 | 87 | 88 | 60 | 73 | 28 | 71 | 30 | 579,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 41 | 53 | 84 | 89 | 40 | 99 | 50 | 74 | 25 | 81 | 76 | 88 | 54 | 50 | 94 | 6 | 70 | 34 | 979,000$/1yrs | ||||
TEAM AVERAGE | 100.00 | 66 | 54 | 83 | 84 | 72 | 86 | 68 | 80 | 58 | 74 | 77 | 85 | 70 | 65 | 78 | 26 | 77 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41 | ![]() | 100.00 | 90 | 85 | 90 | 93 | 60 | 67 | 84 | 63 | 90 | 75 | 70 | 60 | 36 | 73 | 80 | 21 | 1,000,000$/2yrs |
13 | ![]() | 100.00 | 79 | 61 | 79 | 91 | 68 | 97 | 93 | 64 | 69 | 87 | 65 | 72 | 88 | 1 | 79 | 37 | 2,387,007$/3yrs |
TEAM AVERAGE | 100.00 | 85 | 73 | 85 | 92 | 64 | 82 | 89 | 64 | 80 | 81 | 68 | 66 | 62 | 37 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Joe Larson |
---|
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 | 23 |
Contracts | 48/55 |
LTIR Players | 0 |
Mighty Moose Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Abel Skipper ![]() | RW | 27 | 1,443,000$ | 1,443,000$ | |||||||
Alexis Pitsadiotis ![]() | D | 30 | 1,209,000$ | 1,209,000$ | 1,209,000$ | 1,209,000$ | |||||
Charlie Esau ![]() | D | 30 | 2,767,798$ | 2,767,798$ | |||||||
Chet Macintyre ![]() | RW | 29 | 2,647,145$ | 2,647,145$ | 2,647,145$ | 2,647,145$ | 2,647,145$ | ||||
Christophe Prybysh ![]() | D | 32 | 979,000$ | 979,000$ | |||||||
David-Alexandre Williams ![]() | LW | 31 | 2,990,570$ | 2,990,570$ | 2,990,570$ | 2,990,570$ | |||||
Drake Bourgeault ![]() | D | 30 | 2,888,991$ | 2,888,991$ | 2,888,991$ | 2,888,991$ | |||||
Fox OCallahan ![]() | C | 27 | 1,753,000$ | 1,753,000$ | 1,753,000$ | 1,753,000$ | |||||
Ian Cacic ![]() | D | 30 | 579,000$ | 579,000$ | |||||||
J.T. Haggart ![]() | G | 37 | 2,387,007$ | 2,387,007$ | 2,387,007$ | 2,387,007$ | |||||
Johnathon Vreeland ![]() | D | 24 | 1,597,000$ | 1,597,000$ | 1,597,000$ | 1,597,000$ | |||||
Juha-Pekka Kaukola ![]() | LW | 34 | 1,384,000$ | 1,384,000$ | |||||||
Lloyd Mceachern ![]() | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Luca Syvapuro ![]() | C | 29 | 2,152,232$ | 2,152,232$ | 2,152,232$ | 2,152,232$ | 2,152,232$ | ||||
Lucien Rossall ![]() | D | 31 | 1,630,843$ | 1,630,843$ | 1,630,843$ | 1,630,843$ | |||||
Macgregor Yorke ![]() | D | 34 | 979,000$ | 979,000$ | |||||||
Marco Rutherford ![]() | G | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Riordan Winstone ![]() | C | 32 | 2,450,809$ | 2,450,809$ | 2,450,809$ | 2,450,809$ | |||||
Ryland Tuazon ![]() | C | 30 | 2,923,297$ | 2,923,297$ | 2,923,297$ | 2,923,297$ | 2,923,297$ | ||||
Stephan Bhatia ![]() | C | 32 | 1,429,000$ | 1,429,000$ | 1,429,000$ | 1,429,000$ | |||||
Tadeas Sprynar ![]() | LW | 37 | 2,888,991$ | 2,888,991$ | 2,888,991$ | ||||||
Vilho Metsala ![]() | RW | 29 | 960,000$ | 960,000$ | 960,000$ | 960,000$ | |||||
Zhambolat Ainabayev ![]() | RW | 34 | 1,828,579$ | 1,828,579$ | |||||||
TOTAL | 41,768,262$ | 31,807,885$ | 27,018,894$ | 7,722,674$ | 0$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ahti Survo ![]() | LW | 37 | 545,622$ | 545,622$ | |||||||
Artyom Vadeyev ![]() | G | 20 | 1,654,865$ | 1,654,865$ | 1,654,865$ | 1,654,865$ | |||||
Corbin Henke ![]() | D | 21 | 1,070,000$ | 1,070,000$ | |||||||
Denys Husev ![]() | C | 25 | 270,000$ | 270,000$ | |||||||
Donovan Valcourt ![]() | D | 23 | 1,408,000$ | 1,408,000$ | 1,408,000$ | 1,408,000$ | 1,408,000$ | ||||
Egil Wainikka ![]() | C | 29 | 1,100,864$ | 1,100,864$ | 1,100,864$ | 1,100,864$ | |||||
Francis Henri ![]() | LW | 28 | 740,000$ | 740,000$ | |||||||
Izaak Holzer ![]() | LW | 20 | 1,785,000$ | 1,785,000$ | 1,785,000$ | 1,785,000$ | |||||
Josiah Hilts ![]() | RW | 27 | 915,000$ | 915,000$ | 915,000$ | ||||||
Jovin Coish ![]() | D | 29 | 1,193,087$ | 1,193,087$ | 1,193,087$ | 1,193,087$ | |||||
Kalervo Saksala ![]() | RW | 35 | 914,000$ | 914,000$ | |||||||
Lennox Henry ![]() | RW | 27 | 775,000$ | 775,000$ | |||||||
Lovell Bastien ![]() | C | 28 | 304,000$ | 304,000$ | |||||||
Mack Albertyn ![]() | D | 32 | 514,000$ | 514,000$ | 514,000$ | 514,000$ | |||||
Mitchell Grainger ![]() | LW | 32 | 200,000$ | 200,000$ | |||||||
Nicke Hautajoki ![]() | LW | 29 | 499,000$ | 499,000$ | 499,000$ | 499,000$ | |||||
Oskar Borjesson ![]() | C | 31 | 1,787,012$ | 1,787,012$ | 1,787,012$ | ||||||
Rhyse Ronning ![]() | D | 34 | 534,000$ | 534,000$ | |||||||
Romeo Basran ![]() | G | 37 | 1,672,500$ | 1,672,500$ | |||||||
Sebastien Whitson ![]() | C | 23 | 409,579$ | 409,579$ | 409,579$ | ||||||
Stephan Audet ![]() | RW | 34 | 1,014,000$ | 1,014,000$ | |||||||
Timm Blessing ![]() | C | 35 | 469,000$ | 469,000$ | |||||||
Torin Mulcair ![]() | LW | 35 | 754,000$ | 754,000$ | |||||||
Trace Micklem ![]() | D | 23 | 1,089,000$ | 1,089,000$ | 1,089,000$ | 1,089,000$ | 1,089,000$ | ||||
Yulian Bezrukavnikov ![]() | RW | 28 | 200,000$ | 200,000$ | |||||||
TOTAL | 21,817,529 $ | 12,355,407$ | 9,243,816$ | 2,497,000$ | 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 |
41,768,262$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wabanaki Arena | |
City | Maine | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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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 | |||||
---|---|---|---|---|---|
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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 |
41,768,262$ | 41,768,262$ | 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$ | 50,050,160$ | 50,050,160$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
31 yrs | LW | 96 | 64 | 80 | 85 | 62 | 87 | 73 | 94 | 86 | 86 | 68 | 91 | 67 | 44 | 86 | 22 | 82 | |
34 yrs | LW | 82 | 47 | 81 | 96 | 76 | 85 | 81 | 91 | 55 | 46 | 93 | 86 | 95 | 52 | 82 | 1 | 79 | |
22 yrs | LW | 79 | 50 | 70 | 85 | 92 | 68 | 88 | 98 | 69 | 93 | 72 | 42 | 42 | 91 | 83 | 63 | 79 | |
37 yrs | LW | 70 | 51 | 62 | 86 | 73 | 96 | 50 | 78 | 66 | 65 | 99 | 87 | 65 | 77 | 56 | 1 | 77 | |
28 yrs | LW | 71 | 46 | 70 | 76 | 63 | 91 | 86 | 81 | 57 | 82 | 74 | 57 | 99 | 35 | 46 | 41 | 75 | |
35 yrs | LW | 71 | 42 | 75 | 58 | 92 | 82 | 73 | 68 | 70 | 59 | 87 | 68 | 62 | 49 | 69 | 1 | 72 | |
29 yrs | LW | 86 | 43 | 86 | 85 | 69 | 79 | 59 | 93 | 67 | 67 | 52 | 50 | 97 | 40 | 85 | 30 | 71 | |
20 yrs | LW | 66 | 35 | 76 | 66 | 45 | 50 | 50 | 68 | 90 | 78 | 75 | 88 | 47 | 48 | 39 | 74 | 68 | |
32 yrs | LW | 58 | 65 | 68 | 70 | 79 | 52 | 67 | 82 | 51 | 45 | 83 | 76 | 70 | 45 | 68 | 17 | 66 | |
37 yrs | LW | 71 | 67 | 88 | 74 | 25 | 71 | 86 | 72 | 60 | 94 | 37 | 32 | 45 | 99 | 52 | 2 | 65 | |
Center | |||||||||||||||||||
27 yrs | C | 63 | 65 | 82 | 92 | 84 | 88 | 78 | 80 | 95 | 77 | 93 | 99 | 71 | 96 | 71 | 44 | 85 | |
32 yrs | C | 76 | 47 | 74 | 91 | 93 | 99 | 51 | 72 | 98 | 70 | 85 | 77 | 47 | 82 | 97 | 18 | 80 | |
30 yrs | C | 90 | 61 | 91 | 64 | 82 | 75 | 59 | 72 | 78 | 81 | 86 | 86 | 89 | 48 | 57 | 29 | 78 | |
32 yrs | C | 88 | 53 | 96 | 98 | 65 | 76 | 88 | 68 | 97 | 47 | 78 | 84 | 52 | 36 | 46 | 20 | 77 | |
31 yrs | C | 63 | 38 | 78 | 89 | 70 | 97 | 79 | 80 | 68 | 56 | 89 | 37 | 49 | 81 | 36 | 20 | 73 | |
29 yrs | C | 61 | 54 | 66 | 61 | 60 | 92 | 52 | 88 | 99 | 51 | 99 | 90 | 95 | 35 | 81 | 32 | 73 | |
35 yrs | C | 38 | 39 | 97 | 78 | 95 | 76 | 50 | 92 | 94 | 88 | 48 | 33 | 87 | 64 | 43 | 7 | 72 | |
28 yrs | C | 69 | 42 | 74 | 63 | 87 | 71 | 96 | 71 | 65 | 67 | 71 | 51 | 85 | 72 | 58 | 36 | 71 | |
29 yrs | C | 91 | 60 | 83 | 66 | 80 | 99 | 93 | 75 | 95 | 39 | 45 | 44 | 97 | 70 | 57 | 32 | 70 | |
25 yrs | C | 54 | 36 | 89 | 54 | 91 | 57 | 86 | 60 | 86 | 47 | 45 | 89 | 60 | 96 | 45 | 55 | 67 | |
23 yrs | C | 31 | 33 | 84 | 61 | 60 | 54 | 50 | 57 | 59 | 38 | 79 | 55 | 36 | 44 | 53 | 65 | 56 | |
Right Wing | |||||||||||||||||||
27 yrs | RW | 47 | 64 | 96 | 95 | 58 | 66 | 69 | 70 | 88 | 78 | 99 | 96 | 77 | 77 | 78 | 43 | 79 | |
29 yrs | RW | 52 | 49 | 77 | 81 | 60 | 86 | 94 | 83 | 70 | 98 | 83 | 47 | 41 | 95 | 86 | 34 | 78 | |
29 yrs | RW | 63 | 47 | 78 | 89 | 88 | 87 | 50 | 84 | 65 | 55 | 93 | 83 | 85 | 91 | 64 | 34 | 76 | |
27 yrs | RW | 63 | 48 | 82 | 93 | 81 | 83 | 50 | 94 | 75 | 56 | 89 | 81 | 87 | 61 | 98 | 40 | 76 | |
27 yrs | RW | 73 | 59 | 64 | 90 | 75 | 98 | 50 | 81 | 83 | 91 | 52 | 55 | 45 | 82 | 75 | 39 | 75 | |
34 yrs | RW | 38 | 45 | 81 | 61 | 76 | 88 | 56 | 65 | 61 | 72 | 97 | 99 | 76 | 51 | 99 | 1 | 74 | |
34 yrs | RW | 66 | 52 | 96 | 67 | 98 | 97 | 71 | 62 | 89 | 58 | 38 | 85 | 72 | 96 | 71 | 9 | 73 | |
35 yrs | RW | 53 | 52 | 70 | 62 | 57 | 75 | 56 | 61 | 89 | 70 | 94 | 72 | 84 | 81 | 96 | 7 | 69 | |
28 yrs | RW | 52 | 39 | 84 | 96 | 81 | 71 | 50 | 94 | 60 | 40 | 44 | 84 | 71 | 98 | 81 | 34 | 68 | |
Defense | |||||||||||||||||||
30 yrs | D | 67 | 56 | 90 | 99 | 71 | 99 | 95 | 77 | 25 | 82 | 73 | 86 | 70 | 85 | 98 | 20 | 83 | |
30 yrs | D | 72 | 68 | 89 | 78 | 44 | 84 | 96 | 91 | 25 | 83 | 79 | 99 | 58 | 62 | 79 | 24 | 79 | |
32 yrs | D | 42 | 58 | 90 | 90 | 97 | 96 | 50 | 97 | 25 | 71 | 59 | 84 | 66 | 48 | 91 | 12 | 77 | |
24 yrs | D | 97 | 45 | 77 | 94 | 62 | 88 | 50 | 78 | 25 | 71 | 52 | 96 | 93 | 35 | 75 | 57 | 76 | |
30 yrs | D | 83 | 52 | 95 | 91 | 56 | 75 | 87 | 75 | 25 | 73 | 51 | 85 | 94 | 81 | 66 | 29 | 76 | |
31 yrs | D | 43 | 49 | 98 | 62 | 99 | 99 | 56 | 66 | 25 | 78 | 36 | 92 | 45 | 67 | 68 | 23 | 75 | |
29 yrs | D | 44 | 65 | 59 | 76 | 91 | 77 | 69 | 77 | 25 | 53 | 70 | 99 | 62 | 49 | 43 | 29 | 74 | |
23 yrs | D | 69 | 47 | 65 | 88 | 93 | 94 | 70 | 75 | 25 | 39 | 53 | 66 | 70 | 51 | 93 | 63 | 72 | |
30 yrs | D | 37 | 48 | 89 | 85 | 74 | 76 | 57 | 72 | 25 | 86 | 51 | 87 | 88 | 60 | 73 | 28 | 71 | |
34 yrs | D | 97 | 63 | 62 | 68 | 84 | 92 | 50 | 76 | 25 | 66 | 62 | 59 | 87 | 54 | 49 | 4 | 70 | |
34 yrs | D | 41 | 53 | 84 | 89 | 40 | 99 | 50 | 74 | 25 | 81 | 76 | 88 | 54 | 50 | 94 | 6 | 70 | |
23 yrs | D | 79 | 37 | 91 | 71 | 83 | 93 | 53 | 88 | 25 | 46 | 35 | 56 | 95 | 58 | 54 | 60 | 68 | |
32 yrs | D | 49 | 55 | 67 | 72 | 75 | 88 | 66 | 70 | 25 | 82 | 39 | 53 | 69 | 34 | 83 | 14 | 66 | |
21 yrs | D | 82 | 64 | 67 | 70 | 52 | 84 | 50 | 74 | 25 | 71 | 57 | 46 | 78 | 35 | 35 | 75 | 65 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
21 yrs | G | 90 | 85 | 90 | 93 | 60 | 67 | 84 | 63 | 90 | 75 | 70 | 60 | 36 | 73 | 50 | 80 | |
37 yrs | G | 79 | 61 | 79 | 91 | 68 | 97 | 93 | 64 | 69 | 87 | 65 | 72 | 88 | 1 | 50 | 79 | |
37 yrs | G | 67 | 62 | 98 | 85 | 72 | 75 | 62 | 85 | 63 | 74 | 56 | 88 | 35 | 1 | 50 | 74 | |
20 yrs | G | 89 | 75 | 53 | 75 | 89 | 74 | 59 | 91 | 62 | 50 | 87 | 64 | 87 | 78 | 50 | 72 |
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 |
---|