![](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: Kris Nissen | League Rank:1st | Arena: Los Muertos Arena |
Conference: Southern Conference | Conference Rank:1st | Capacity:17,000 |
Division: South West | Division Rank:1st | Total Player Salaries:33,540,999$ |
Captain: Niclas Saarelainen | Last 10: 0-0-0 | Bank Account:60,668,248$ |
Coach: | Home: 0-0-0 | |
All-Time Record: 94 W - 53 L - 13 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23 | ![]() | C | 100.00 | 65 | 58 | 73 | 90 | 93 | 93 | 74 | 90 | 93 | 79 | 74 | 93 | 74 | 66 | 55 | 73 | 84 | 21 | 2,360,000$/1yrs | ||||
22 | ![]() | LW | 100.00 | 48 | 37 | 74 | 91 | 80 | 89 | 73 | 94 | 79 | 80 | 85 | 78 | 47 | 43 | 60 | 77 | 81 | 20 | 1,000,000$/2yrs | ||||
11 | ![]() | C | 100.00 | 86 | 55 | 54 | 83 | 97 | 81 | 80 | 73 | 93 | 68 | 67 | 99 | 34 | 70 | 62 | 70 | 80 | 21 | 800,000$/2yrs | ||||
19 | ![]() | RW | 100.00 | 62 | 57 | 92 | 99 | 83 | 99 | 77 | 96 | 74 | 56 | 99 | 35 | 57 | 80 | 84 | 44 | 79 | 27 | 1,528,000$/1yrs | ||||
40 | ![]() | RW | 100.00 | 87 | 35 | 76 | 92 | 63 | 99 | 70 | 99 | 90 | 67 | 67 | 50 | 80 | 56 | 97 | 43 | 77 | 27 | 828,000$/2yrs | ||||
12 | ![]() | RW | 100.00 | 32 | 54 | 89 | 79 | 86 | 67 | 56 | 85 | 73 | 70 | 94 | 93 | 87 | 82 | 68 | 65 | 76 | 23 | 3,750,000$/4yrs | ||||
95 | ![]() | LW | 100.00 | 93 | 53 | 78 | 97 | 58 | 75 | 88 | 60 | 55 | 69 | 59 | 97 | 89 | 86 | 33 | 67 | 75 | 22 | 1,000,000$/4yrs | ||||
88 | ![]() | C | 100.00 | 43 | 35 | 69 | 59 | 28 | 83 | 83 | 87 | 94 | 79 | 84 | 87 | 74 | 88 | 66 | 73 | 73 | 20 | 1,625,000$/2yrs | ||||
2 | ![]() | D | 100.00 | 82 | 41 | 58 | 94 | 96 | 89 | 90 | 96 | 25 | 56 | 69 | 62 | 49 | 43 | 68 | 78 | 80 | 20 | 900,000$/2yrs | ||||
10 | ![]() | D | 100.00 | 70 | 56 | 61 | 98 | 99 | 88 | 76 | 86 | 25 | 65 | 36 | 83 | 97 | 92 | 42 | 43 | 79 | 27 | 1,040,000$/3yrs | ||||
3 | ![]() | D | 100.00 | 87 | 66 | 87 | 77 | 66 | 94 | 92 | 97 | 25 | 53 | 52 | 76 | 87 | 37 | 96 | 36 | 77 | 28 | 1,500,000$/2yrs | ||||
7 | ![]() | D | 100.00 | 77 | 45 | 67 | 93 | 83 | 72 | 50 | 96 | 25 | 68 | 54 | 83 | 87 | 91 | 76 | 6 | 74 | 34 | 940,000$/2yrs | ||||
85 | ![]() | C | 100.00 | 79 | 66 | 75 | 88 | 95 | 94 | 51 | 94 | 93 | 68 | 61 | 67 | 70 | 82 | 34 | 27 | 78 | 30 | 1,700,000$/4yrs | ||||
38 | ![]() | LW | 100.00 | 38 | 39 | 59 | 73 | 72 | 96 | 92 | 97 | 51 | 81 | 78 | 58 | 70 | 63 | 63 | 65 | 76 | 22 | 3,500,000$/5yrs | ||||
43 | ![]() | RW | 100.00 | 56 | 42 | 93 | 71 | 90 | 99 | 88 | 83 | 69 | 61 | 84 | 38 | 73 | 40 | 35 | 47 | 75 | 26 | 2,500,000$/4yrs | ||||
13 | ![]() | C | 100.00 | 96 | 59 | 61 | 93 | 55 | 68 | 90 | 99 | 76 | 57 | 88 | 30 | 57 | 44 | 49 | 27 | 72 | 29 | 320,000$/2yrs | ||||
0 | ![]() | LW | 100.00 | 92 | 56 | 62 | 91 | 53 | 71 | 50 | 97 | 84 | 58 | 79 | 47 | 43 | 62 | 86 | 25 | 69 | 31 | 900,000$/2yrs | ||||
5 | ![]() | D | 100.00 | 95 | 49 | 82 | 93 | 35 | 99 | 86 | 82 | 25 | 80 | 72 | 62 | 65 | 66 | 61 | 45 | 78 | 26 | 1,999,999$/5yrs | ||||
TEAM AVERAGE | 100.00 | 72 | 50 | 73 | 87 | 74 | 86 | 76 | 90 | 64 | 68 | 72 | 69 | 69 | 66 | 63 | 51 | 77 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 100.00 | 75 | 62 | 76 | 67 | 99 | 62 | 99 | 99 | 76 | 60 | 58 | 34 | 97 | 39 | 78 | 28 | 2,750,000$/4yrs |
35 | ![]() | 100.00 | 96 | 92 | 61 | 81 | 78 | 47 | 74 | 93 | 84 | 85 | 61 | 57 | 39 | 6 | 79 | 36 | 2,600,000$/2yrs |
TEAM AVERAGE | 100.00 | 86 | 77 | 69 | 74 | 89 | 55 | 87 | 96 | 80 | 73 | 60 | 46 | 68 | 23 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Kris Nissen |
---|
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 | 20 |
Contracts | 43/55 |
LTIR Players | 0 |
Muertos Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akio Nishiwaki ![]() | D | 26 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||
Dalen Palmateer ![]() | C | 21 | 2,360,000$ | 2,360,000$ | |||||||
Dillan Dewhurst ![]() | RW | 27 | 828,000$ | 828,000$ | 828,000$ | ||||||
Donavon Sorley ![]() | LW | 22 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||
Elie Van Der Male ![]() | C | 20 | 1,625,000$ | 1,625,000$ | 1,625,000$ | ||||||
Gordon Huey ![]() | D | 34 | 940,000$ | 940,000$ | 940,000$ | ||||||
Hale Labrecque ![]() | RW | 23 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||
John-Michael Mcdonough ![]() | C | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Kevin Elson ![]() | RW | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Kody Schutz ![]() | LW | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Lars-Bjorn Sundholm ![]() | G | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||
Lazar Kisfaludy ![]() | LW | 31 | 900,000$ | 900,000$ | 900,000$ | ||||||
Luke Vanni ![]() | D | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Mattias Lenander ![]() | C | 29 | 320,000$ | 320,000$ | 320,000$ | ||||||
Niclas Saarelainen ![]() | RW | 27 | 1,528,000$ | 1,528,000$ | |||||||
Onni Tuomanen ![]() | D | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Par Mellgren ![]() | G | 36 | 2,600,000$ | 2,600,000$ | 2,600,000$ | ||||||
Quinn Mccann ![]() | D | 27 | 1,040,000$ | 1,040,000$ | 1,040,000$ | 1,040,000$ | |||||
Torrey Birdsell ![]() | C | 30 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||
Zayden Rankine ![]() | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
TOTAL | 33,540,999$ | 29,652,999$ | 18,239,999$ | 17,199,999$ | 5,499,999$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ake Ostlin ![]() | RW | 28 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Artem Ivalahti ![]() | RW | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Benito Buckley ![]() | D | 22 | 377,000$ | 377,000$ | 377,000$ | 377,000$ | |||||
Crister Karlsen ![]() | C | 24 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | ||||
Dave Karrys ![]() | D | 23 | 646,500$ | 646,500$ | 646,500$ | 646,500$ | 646,500$ | ||||
David Hutchings ![]() | LW | 21 | 200,000$ | 200,000$ | 200,000$ | 200,000$ | |||||
Dicky Money ![]() | D | 22 | 1,330,000$ | 1,330,000$ | 1,330,000$ | 1,330,000$ | 1,330,000$ | ||||
Dustin Tousignant ![]() | G | 26 | 200,000$ | 200,000$ | 200,000$ | 200,000$ | 200,000$ | ||||
Feng Xingyi ![]() | LW | 22 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||
Francois-Xavier Barnhart ![]() | C | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
Gareth Mccrary ![]() | D | 34 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Hannu-Petteri Hatinen ![]() | RW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||
Ignaty Zhilkin ![]() | C | 33 | 349,000$ | 349,000$ | 349,000$ | ||||||
Joel Tetley ![]() | D | 20 | 412,000$ | 412,000$ | 412,000$ | 412,000$ | |||||
Johnathan Jonas ![]() | LW | 23 | 224,000$ | 224,000$ | 224,000$ | 224,000$ | |||||
Maksim Voronin ![]() | RW | 26 | 887,000$ | 887,000$ | 887,000$ | ||||||
Pelle Jonson ![]() | D | 20 | 1,225,000$ | 1,225,000$ | 1,225,000$ | 1,225,000$ | |||||
Semyon Pashkov ![]() | LW | 22 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | 500,000$ | ||||
Spencer Osburn ![]() | D | 27 | 343,000$ | 343,000$ | 343,000$ | ||||||
Stan Krowina ![]() | G | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ||||
Steele Fitsell ![]() | LW | 36 | 1,234,000$ | 1,234,000$ | |||||||
Tord Tourula ![]() | G | 21 | 1,395,000$ | 1,395,000$ | |||||||
Yannick Berard ![]() | LW | 27 | 758,000$ | 758,000$ | 758,000$ | ||||||
TOTAL | 19,855,500 $ | 17,226,500$ | 12,789,500$ | 9,426,500$ | 2,800,000$ | 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 |
33,540,999$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Los Muertos Arena | |
City | Tucson | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 95$ | 55$ | 30$ | 20$ | 195$ |
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 |
33,540,999$ | 33,540,999$ | 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$ | 60,668,248$ | 60,668,248$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
20 yrs | LW | 48 | 37 | 74 | 91 | 80 | 89 | 73 | 94 | 79 | 80 | 85 | 78 | 47 | 43 | 60 | 77 | 81 | |
22 yrs | LW | 38 | 39 | 59 | 73 | 72 | 96 | 92 | 97 | 51 | 81 | 78 | 58 | 70 | 63 | 63 | 65 | 76 | |
27 yrs | LW | 37 | 41 | 93 | 58 | 99 | 94 | 60 | 99 | 76 | 99 | 43 | 58 | 74 | 35 | 90 | 49 | 76 | |
22 yrs | LW | 44 | 45 | 94 | 71 | 77 | 91 | 60 | 85 | 49 | 93 | 56 | 77 | 88 | 50 | 63 | 68 | 75 | |
22 yrs | LW | 93 | 53 | 78 | 97 | 58 | 75 | 88 | 60 | 55 | 69 | 59 | 97 | 89 | 86 | 33 | 67 | 75 | |
36 yrs | LW | 68 | 40 | 79 | 72 | 67 | 92 | 88 | 62 | 76 | 41 | 63 | 87 | 39 | 71 | 43 | 1 | 70 | |
21 yrs | LW | 75 | 49 | 81 | 94 | 78 | 95 | 50 | 90 | 72 | 48 | 64 | 47 | 55 | 58 | 79 | 75 | 70 | |
22 yrs | LW | 83 | 40 | 43 | 57 | 93 | 88 | 88 | 96 | 58 | 53 | 55 | 50 | 51 | 39 | 59 | 63 | 70 | |
31 yrs | LW | 92 | 56 | 62 | 91 | 53 | 71 | 50 | 97 | 84 | 58 | 79 | 47 | 43 | 62 | 86 | 25 | 69 | |
23 yrs | LW | 30 | 55 | 77 | 62 | 49 | 53 | 50 | 56 | 89 | 91 | 37 | 94 | 48 | 41 | 69 | 58 | 64 | |
Center | |||||||||||||||||||
21 yrs | C | 65 | 58 | 73 | 90 | 93 | 93 | 74 | 90 | 93 | 79 | 74 | 93 | 74 | 66 | 55 | 73 | 84 | |
21 yrs | C | 86 | 55 | 54 | 83 | 97 | 81 | 80 | 73 | 93 | 68 | 67 | 99 | 34 | 70 | 62 | 70 | 80 | |
30 yrs | C | 79 | 66 | 75 | 88 | 95 | 94 | 51 | 94 | 93 | 68 | 61 | 67 | 70 | 82 | 34 | 27 | 78 | |
24 yrs | C | 93 | 61 | 58 | 73 | 73 | 86 | 50 | 83 | 97 | 85 | 81 | 57 | 55 | 84 | 62 | 57 | 75 | |
20 yrs | C | 43 | 35 | 69 | 59 | 28 | 83 | 83 | 87 | 94 | 79 | 84 | 87 | 74 | 88 | 66 | 73 | 73 | |
29 yrs | C | 96 | 59 | 61 | 93 | 55 | 68 | 90 | 99 | 76 | 57 | 88 | 30 | 57 | 44 | 49 | 27 | 72 | |
33 yrs | C | 78 | 60 | 79 | 80 | 39 | 68 | 86 | 72 | 85 | 68 | 46 | 98 | 88 | 47 | 41 | 8 | 71 | |
22 yrs | C | 40 | 60 | 64 | 61 | 83 | 76 | 84 | 91 | 97 | 62 | 79 | 43 | 89 | 52 | 90 | 60 | 71 | |
Right Wing | |||||||||||||||||||
27 yrs | RW | 62 | 57 | 92 | 99 | 83 | 99 | 77 | 96 | 74 | 56 | 99 | 35 | 57 | 80 | 84 | 44 | 79 | |
27 yrs | RW | 87 | 35 | 76 | 92 | 63 | 99 | 70 | 99 | 90 | 67 | 67 | 50 | 80 | 56 | 97 | 43 | 77 | |
23 yrs | RW | 32 | 54 | 89 | 79 | 86 | 67 | 56 | 85 | 73 | 70 | 94 | 93 | 87 | 82 | 68 | 65 | 76 | |
26 yrs | RW | 56 | 42 | 93 | 71 | 90 | 99 | 88 | 83 | 69 | 61 | 84 | 38 | 73 | 40 | 35 | 47 | 75 | |
25 yrs | RW | 90 | 40 | 69 | 79 | 95 | 60 | 64 | 88 | 72 | 77 | 66 | 49 | 35 | 92 | 67 | 56 | 73 | |
26 yrs | RW | 42 | 37 | 78 | 92 | 75 | 94 | 65 | 69 | 72 | 43 | 75 | 91 | 42 | 76 | 49 | 50 | 72 | |
20 yrs | RW | 55 | 45 | 84 | 83 | 73 | 70 | 78 | 75 | 72 | 77 | 92 | 25 | 47 | 56 | 53 | 73 | 72 | |
28 yrs | RW | 56 | 59 | 67 | 61 | 62 | 53 | 50 | 71 | 96 | 90 | 59 | 90 | 92 | 83 | 90 | 36 | 69 | |
Defense | |||||||||||||||||||
20 yrs | D | 82 | 41 | 58 | 94 | 96 | 89 | 90 | 96 | 25 | 56 | 69 | 62 | 49 | 43 | 68 | 78 | 80 | |
27 yrs | D | 70 | 56 | 61 | 98 | 99 | 88 | 76 | 86 | 25 | 65 | 36 | 83 | 97 | 92 | 42 | 43 | 79 | |
26 yrs | D | 95 | 49 | 82 | 93 | 35 | 99 | 86 | 82 | 25 | 80 | 72 | 62 | 65 | 66 | 61 | 45 | 78 | |
28 yrs | D | 87 | 66 | 87 | 77 | 66 | 94 | 92 | 97 | 25 | 53 | 52 | 76 | 87 | 37 | 96 | 36 | 77 | |
34 yrs | D | 81 | 57 | 91 | 57 | 71 | 82 | 87 | 62 | 25 | 68 | 61 | 82 | 83 | 43 | 93 | 4 | 74 | |
34 yrs | D | 77 | 45 | 67 | 93 | 83 | 72 | 50 | 96 | 25 | 68 | 54 | 83 | 87 | 91 | 76 | 6 | 74 | |
20 yrs | D | 89 | 57 | 60 | 90 | 82 | 68 | 76 | 78 | 25 | 53 | 32 | 76 | 81 | 81 | 98 | 76 | 73 | |
27 yrs | D | 90 | 53 | 82 | 59 | 50 | 86 | 79 | 99 | 25 | 74 | 45 | 69 | 51 | 47 | 59 | 43 | 71 | |
22 yrs | D | 69 | 63 | 86 | 90 | 62 | 72 | 66 | 89 | 25 | 66 | 58 | 54 | 62 | 53 | 40 | 67 | 71 | |
22 yrs | D | 93 | 43 | 86 | 89 | 54 | 88 | 83 | 72 | 25 | 45 | 36 | 54 | 47 | 35 | 80 | 69 | 68 | |
23 yrs | D | 79 | 61 | 63 | 95 | 52 | 74 | 78 | 88 | 25 | 39 | 45 | 66 | 48 | 35 | 50 | 66 | 67 | |
20 yrs | D | 35 | 37 | 60 | 54 | 74 | 91 | 74 | 64 | 25 | 79 | 56 | 50 | 53 | 73 | 49 | 78 | 66 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
36 yrs | G | 96 | 92 | 61 | 81 | 78 | 47 | 74 | 93 | 84 | 85 | 61 | 57 | 39 | 6 | 50 | 79 | |
28 yrs | G | 75 | 62 | 76 | 67 | 99 | 62 | 99 | 99 | 76 | 60 | 58 | 34 | 97 | 39 | 50 | 78 | |
22 yrs | G | 94 | 50 | 91 | 99 | 71 | 49 | 48 | 80 | 74 | 92 | 74 | 94 | 53 | 64 | 50 | 75 | |
26 yrs | G | 62 | 56 | 96 | 81 | 57 | 58 | 64 | 94 | 87 | 86 | 82 | 60 | 34 | 44 | 50 | 74 | |
21 yrs | G | 77 | 63 | 93 | 64 | 97 | 77 | 80 | 62 | 69 | 50 | 89 | 84 | 29 | 74 | 50 | 73 |
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 |
---|