![](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: Gavin Flewelling | League Rank:11st | Arena: Hard Rock Place |
Conference: Southern Conference | Conference Rank:7th | Capacity:17,000 |
Division: South East | Division Rank:3rd | Total Player Salaries:46,378,000$ |
Captain: Wes Pushka | Last 10: 0-0-0 | Bank Account:51,864,286$ |
Coach: | Home: 0-0-0 | |
All-Time Record: 87 W - 55 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
88 | ![]() | RW | 100.00 | 58 | 62 | 66 | 89 | 99 | 99 | 74 | 97 | 61 | 74 | 93 | 81 | 41 | 69 | 71 | 38 | 84 | 27 | 1,733,000$/1yrs | ||||
97 | ![]() | LW | 100.00 | 95 | 42 | 75 | 63 | 76 | 78 | 75 | 93 | 95 | 99 | 93 | 54 | 40 | 45 | 55 | 33 | 81 | 28 | 1,605,000$/2yrs | ||||
68 | ![]() | C | 100.00 | 87 | 60 | 67 | 93 | 70 | 91 | 87 | 89 | 59 | 92 | 53 | 58 | 48 | 60 | 55 | 13 | 79 | 32 | 1,019,000$/1yrs | ||||
25 | ![]() | C | 100.00 | 82 | 35 | 82 | 56 | 69 | 96 | 85 | 72 | 83 | 91 | 90 | 61 | 84 | 91 | 38 | 2 | 79 | 36 | 1,604,000$/1yrs | ||||
10 | ![]() | LW | 100.00 | 85 | 43 | 96 | 66 | 31 | 96 | 85 | 86 | 82 | 84 | 88 | 47 | 57 | 58 | 83 | 40 | 76 | 26 | 1,323,000$/3yrs | ||||
19 | ![]() | RW | 100.00 | 49 | 53 | 68 | 82 | 88 | 95 | 80 | 74 | 98 | 59 | 79 | 69 | 41 | 37 | 67 | 26 | 76 | 30 | 984,000$/1yrs | ||||
87 | ![]() | LW | 100.00 | 51 | 57 | 76 | 82 | 73 | 96 | 58 | 71 | 75 | 92 | 89 | 36 | 44 | 70 | 66 | 34 | 74 | 29 | 1,539,000$/1yrs | ||||
44 | ![]() | D | 100.00 | 92 | 56 | 70 | 94 | 97 | 97 | 61 | 70 | 25 | 64 | 45 | 99 | 89 | 81 | 41 | 39 | 82 | 28 | 3,000,000$/4yrs | ||||
21 | ![]() | D | 100.00 | 97 | 66 | 69 | 60 | 79 | 76 | 85 | 88 | 25 | 58 | 51 | 99 | 41 | 34 | 58 | 32 | 78 | 29 | 1,179,000$/1yrs | ||||
17 | ![]() | D | 100.00 | 81 | 55 | 87 | 85 | 81 | 85 | 87 | 92 | 25 | 60 | 46 | 75 | 51 | 98 | 55 | 77 | 77 | 20 | 1,545,000$/2yrs | ||||
95 | ![]() | RW | 100.00 | 99 | 55 | 74 | 90 | 91 | 89 | 81 | 88 | 62 | 64 | 69 | 99 | 52 | 43 | 71 | 45 | 82 | 27 | 3,600,000$/5yrs | ||||
55 | ![]() | C | 100.00 | 45 | 35 | 84 | 61 | 91 | 83 | 83 | 66 | 84 | 78 | 93 | 85 | 70 | 43 | 84 | 68 | 79 | 22 | 2,800,000$/5yrs | ||||
39 | ![]() | LW | 100.00 | 45 | 49 | 81 | 66 | 94 | 78 | 59 | 82 | 82 | 97 | 90 | 76 | 84 | 64 | 87 | 36 | 79 | 28 | 3,000,000$/4yrs | ||||
0 | ![]() | RW | 100.00 | 31 | 46 | 87 | 52 | 91 | 81 | 60 | 92 | 89 | 94 | 78 | 89 | 54 | 55 | 57 | 79 | 79 | 19 | 900,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 92 | 31 | 74 | 97 | 79 | 90 | 69 | 83 | 88 | 76 | 71 | 57 | 51 | 80 | 59 | 83 | 79 | 19 | 1,000,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 52 | 46 | 59 | 97 | 90 | 97 | 64 | 82 | 75 | 91 | 58 | 64 | 66 | 57 | 97 | 59 | 78 | 25 | 1,232,000$/3yrs | ||||
58 | ![]() | C | 100.00 | 88 | 58 | 80 | 63 | 94 | 99 | 70 | 81 | 85 | 69 | 72 | 57 | 97 | 67 | 51 | 46 | 77 | 27 | 978,000$/3yrs | ||||
56 | ![]() | C | 100.00 | 63 | 61 | 69 | 65 | 82 | 92 | 89 | 91 | 96 | 52 | 90 | 58 | 42 | 55 | 96 | 38 | 76 | 28 | 2,300,000$/4yrs | ||||
92 | ![]() | RW | 100.00 | 55 | 62 | 71 | 80 | 95 | 97 | 62 | 63 | 93 | 72 | 87 | 57 | 78 | 89 | 98 | 71 | 76 | 22 | 2,300,000$/5yrs | ||||
46 | ![]() | LW | 100.00 | 35 | 59 | 62 | 78 | 66 | 96 | 61 | 91 | 59 | 59 | 88 | 93 | 91 | 67 | 38 | 43 | 74 | 27 | 903,000$/3yrs | ||||
78 | ![]() | D | 100.00 | 67 | 58 | 93 | 72 | 96 | 98 | 81 | 99 | 25 | 61 | 75 | 99 | 71 | 45 | 34 | 51 | 83 | 26 | 3,500,000$/5yrs | ||||
26 | ![]() | D | 100.00 | 99 | 37 | 61 | 92 | 81 | 77 | 79 | 74 | 25 | 81 | 72 | 52 | 52 | 76 | 39 | 33 | 77 | 28 | 684,000$/2yrs | ||||
2 | ![]() | D | 100.00 | 87 | 52 | 91 | 74 | 93 | 76 | 78 | 73 | 25 | 79 | 40 | 66 | 44 | 41 | 98 | 27 | 76 | 29 | 1,650,000$/3yrs | ||||
47 | ![]() | D | 100.00 | 67 | 45 | 77 | 60 | 75 | 99 | 96 | 71 | 25 | 65 | 48 | 93 | 34 | 73 | 50 | 39 | 76 | 28 | 2,200,000$/3yrs | ||||
TEAM AVERAGE | 100.00 | 71 | 51 | 76 | 76 | 83 | 90 | 75 | 82 | 64 | 75 | 73 | 72 | 59 | 62 | 65 | 44 | 78 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 100.00 | 80 | 77 | 99 | 89 | 98 | 99 | 71 | 73 | 94 | 94 | 80 | 62 | 48 | 31 | 87 | 29 | 3,000,000$/4yrs |
0 | ![]() | 100.00 | 64 | 75 | 83 | 80 | 95 | 73 | 95 | 83 | 53 | 91 | 63 | 55 | 49 | 69 | 79 | 21 | 800,000$/2yrs |
TEAM AVERAGE | 100.00 | 72 | 76 | 91 | 85 | 97 | 86 | 83 | 78 | 74 | 93 | 72 | 59 | 49 | 50 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Gavin Flewelling |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MPG | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 47,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 26 |
Contracts | 49/55 |
LTIR Players | 0 |
Blues Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Flatley ![]() | C | 25 | 1,232,000$ | 1,232,000$ | 1,232,000$ | 1,232,000$ | |||||
Arvi-Antti Ahokari ![]() | D | 29 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | |||||
Bill Brelih ![]() | LW | 26 | 1,323,000$ | 1,323,000$ | 1,323,000$ | 1,323,000$ | |||||
Bryce Bruha ![]() | G | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Cliff Deruelle ![]() | C | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Curtis Gordic ![]() | D | 20 | 1,545,000$ | 1,545,000$ | 1,545,000$ | ||||||
Daniel Weber ![]() | C | 22 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | |||
Duma Dodrescu ![]() | RW | 27 | 1,733,000$ | 1,733,000$ | |||||||
Errol Merwin ![]() | RW | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Frederic Marini ![]() | D | 26 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||
Hampus Ollilainen ![]() | LW | 27 | 903,000$ | 903,000$ | 903,000$ | 903,000$ | |||||
Ignaty Falbush ![]() | D | 29 | 1,179,000$ | 1,179,000$ | |||||||
Ikki Miyamae ![]() | D | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Jooel Tuomisalo ![]() | RW | 27 | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | |||
Kaarl Kontturi ![]() | C | 27 | 978,000$ | 978,000$ | 978,000$ | 978,000$ | |||||
Kalle-Veikko Kekalainen ![]() | C | 32 | 1,019,000$ | 1,019,000$ | |||||||
Libor Hill ![]() | D | 28 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | |||||
Loughlin Dowe ![]() | RW | 22 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | |||
Maxym Pansegrau ![]() | LW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Mikhail Tsvetkov ![]() | D | 28 | 684,000$ | 684,000$ | 684,000$ | ||||||
Phil Lawless ![]() | LW | 29 | 1,539,000$ | 1,539,000$ | |||||||
Robert Sisma ![]() | C | 36 | 1,604,000$ | 1,604,000$ | |||||||
Sampa Paunonen ![]() | G | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Vintila Dragan ![]() | RW | 30 | 984,000$ | 984,000$ | |||||||
Wes Pushka ![]() | LW | 28 | 1,605,000$ | 1,605,000$ | 1,605,000$ | ||||||
Wesley Groulx ![]() | C | 28 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||
TOTAL | 46,378,000$ | 38,320,000$ | 31,786,000$ | 23,500,000$ | 12,200,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 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$ | ||||||
TOTAL | 24,499,500 $ | 17,994,500$ | 9,269,500$ | 4,290,000$ | 2,650,000$ | 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 |
46,378,000$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Hard Rock Place | |
City | Memphis | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
46,378,000$ | 46,378,000$ | 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$ | 51,864,286$ | 51,864,286$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
28 yrs | LW | 95 | 42 | 75 | 63 | 76 | 78 | 75 | 93 | 95 | 99 | 93 | 54 | 40 | 45 | 55 | 33 | 81 | |
28 yrs | LW | 45 | 49 | 81 | 66 | 94 | 78 | 59 | 82 | 82 | 97 | 90 | 76 | 84 | 64 | 87 | 36 | 79 | |
26 yrs | LW | 85 | 43 | 96 | 66 | 31 | 96 | 85 | 86 | 82 | 84 | 88 | 47 | 57 | 58 | 83 | 40 | 76 | |
29 yrs | LW | 51 | 57 | 76 | 82 | 73 | 96 | 58 | 71 | 75 | 92 | 89 | 36 | 44 | 70 | 66 | 34 | 74 | |
27 yrs | LW | 35 | 59 | 62 | 78 | 66 | 96 | 61 | 91 | 59 | 59 | 88 | 93 | 91 | 67 | 38 | 43 | 74 | |
33 yrs | LW | 58 | 38 | 85 | 65 | 50 | 81 | 85 | 92 | 86 | 59 | 83 | 80 | 79 | 66 | 98 | 3 | 74 | |
31 yrs | LW | 64 | 42 | 80 | 57 | 93 | 79 | 50 | 83 | 73 | 86 | 62 | 64 | 57 | 66 | 66 | 19 | 73 | |
34 yrs | LW | 65 | 57 | 67 | 76 | 96 | 95 | 62 | 79 | 79 | 42 | 67 | 74 | 49 | 72 | 43 | 9 | 72 | |
30 yrs | LW | 71 | 63 | 64 | 56 | 51 | 96 | 50 | 69 | 59 | 89 | 84 | 43 | 62 | 92 | 88 | 25 | 68 | |
22 yrs | LW | 93 | 59 | 61 | 81 | 93 | 63 | 50 | 85 | 89 | 62 | 47 | 30 | 92 | 93 | 57 | 73 | 66 | |
24 yrs | LW | 53 | 66 | 68 | 69 | 66 | 67 | 71 | 68 | 87 | 36 | 64 | 88 | 88 | 80 | 55 | 61 | 65 | |
Center | |||||||||||||||||||
32 yrs | C | 87 | 60 | 67 | 93 | 70 | 91 | 87 | 89 | 59 | 92 | 53 | 58 | 48 | 60 | 55 | 13 | 79 | |
36 yrs | C | 82 | 35 | 82 | 56 | 69 | 96 | 85 | 72 | 83 | 91 | 90 | 61 | 84 | 91 | 38 | 2 | 79 | |
22 yrs | C | 45 | 35 | 84 | 61 | 91 | 83 | 83 | 66 | 84 | 78 | 93 | 85 | 70 | 43 | 84 | 68 | 79 | |
19 yrs | C | 92 | 31 | 74 | 97 | 79 | 90 | 69 | 83 | 88 | 76 | 71 | 57 | 51 | 80 | 59 | 83 | 79 | |
25 yrs | C | 52 | 46 | 59 | 97 | 90 | 97 | 64 | 82 | 75 | 91 | 58 | 64 | 66 | 57 | 97 | 59 | 78 | |
27 yrs | C | 88 | 58 | 80 | 63 | 94 | 99 | 70 | 81 | 85 | 69 | 72 | 57 | 97 | 67 | 51 | 46 | 77 | |
22 yrs | C | 80 | 45 | 70 | 92 | 75 | 85 | 92 | 63 | 80 | 55 | 96 | 63 | 59 | 38 | 40 | 67 | 76 | |
28 yrs | C | 63 | 61 | 69 | 65 | 82 | 92 | 89 | 91 | 96 | 52 | 90 | 58 | 42 | 55 | 96 | 38 | 76 | |
25 yrs | C | 85 | 47 | 74 | 72 | 88 | 64 | 74 | 81 | 85 | 75 | 50 | 69 | 70 | 93 | 36 | 55 | 73 | |
22 yrs | C | 72 | 57 | 83 | 74 | 42 | 62 | 89 | 86 | 89 | 50 | 65 | 56 | 71 | 93 | 88 | 72 | 67 | |
Right Wing | |||||||||||||||||||
27 yrs | RW | 58 | 62 | 66 | 89 | 99 | 99 | 74 | 97 | 61 | 74 | 93 | 81 | 41 | 69 | 71 | 38 | 84 | |
27 yrs | RW | 99 | 55 | 74 | 90 | 91 | 89 | 81 | 88 | 62 | 64 | 69 | 99 | 52 | 43 | 71 | 45 | 82 | |
19 yrs | RW | 31 | 46 | 87 | 52 | 91 | 81 | 60 | 92 | 89 | 94 | 78 | 89 | 54 | 55 | 57 | 79 | 79 | |
30 yrs | RW | 49 | 53 | 68 | 82 | 88 | 95 | 80 | 74 | 98 | 59 | 79 | 69 | 41 | 37 | 67 | 26 | 76 | |
22 yrs | RW | 55 | 62 | 71 | 80 | 95 | 97 | 62 | 63 | 93 | 72 | 87 | 57 | 78 | 89 | 98 | 71 | 76 | |
34 yrs | RW | 90 | 76 | 72 | 95 | 70 | 80 | 87 | 76 | 79 | 72 | 54 | 56 | 91 | 63 | 55 | 1 | 75 | |
23 yrs | RW | 53 | 55 | 69 | 75 | 63 | 84 | 90 | 63 | 48 | 51 | 87 | 90 | 55 | 88 | 36 | 67 | 71 | |
29 yrs | RW | 38 | 50 | 61 | 96 | 54 | 83 | 88 | 66 | 66 | 87 | 44 | 46 | 43 | 96 | 69 | 33 | 69 | |
Defense | |||||||||||||||||||
26 yrs | D | 67 | 58 | 93 | 72 | 96 | 98 | 81 | 99 | 25 | 61 | 75 | 99 | 71 | 45 | 34 | 51 | 83 | |
28 yrs | D | 92 | 56 | 70 | 94 | 97 | 97 | 61 | 70 | 25 | 64 | 45 | 99 | 89 | 81 | 41 | 39 | 82 | |
29 yrs | D | 97 | 66 | 69 | 60 | 79 | 76 | 85 | 88 | 25 | 58 | 51 | 99 | 41 | 34 | 58 | 32 | 78 | |
20 yrs | D | 81 | 55 | 87 | 85 | 81 | 85 | 87 | 92 | 25 | 60 | 46 | 75 | 51 | 98 | 55 | 77 | 77 | |
28 yrs | D | 99 | 37 | 61 | 92 | 81 | 77 | 79 | 74 | 25 | 81 | 72 | 52 | 52 | 76 | 39 | 33 | 77 | |
29 yrs | D | 87 | 52 | 91 | 74 | 93 | 76 | 78 | 73 | 25 | 79 | 40 | 66 | 44 | 41 | 98 | 27 | 76 | |
28 yrs | D | 67 | 45 | 77 | 60 | 75 | 99 | 96 | 71 | 25 | 65 | 48 | 93 | 34 | 73 | 50 | 39 | 76 | |
25 yrs | D | 71 | 55 | 70 | 99 | 98 | 67 | 85 | 72 | 25 | 70 | 55 | 55 | 80 | 42 | 83 | 49 | 75 | |
28 yrs | D | 96 | 56 | 75 | 79 | 63 | 82 | 70 | 70 | 25 | 83 | 77 | 51 | 65 | 41 | 37 | 30 | 74 | |
33 yrs | D | 44 | 55 | 87 | 61 | 94 | 70 | 50 | 72 | 25 | 71 | 60 | 87 | 82 | 49 | 58 | 15 | 70 | |
35 yrs | D | 73 | 37 | 83 | 60 | 90 | 64 | 50 | 98 | 25 | 51 | 37 | 76 | 86 | 98 | 99 | 4 | 67 | |
34 yrs | D | 56 | 54 | 68 | 75 | 62 | 77 | 81 | 91 | 25 | 44 | 65 | 49 | 75 | 48 | 61 | 2 | 67 | |
34 yrs | D | 47 | 42 | 68 | 97 | 34 | 92 | 96 | 70 | 25 | 76 | 55 | 58 | 93 | 66 | 53 | 1 | 66 | |
20 yrs | D | 86 | 35 | 84 | 76 | 81 | 50 | 55 | 85 | 25 | 43 | 43 | 67 | 70 | 78 | 95 | 76 | 66 | |
23 yrs | D | 58 | 60 | 67 | 57 | 55 | 52 | 52 | 56 | 25 | 45 | 67 | 86 | 61 | 98 | 86 | 67 | 60 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
29 yrs | G | 80 | 77 | 99 | 89 | 98 | 99 | 71 | 73 | 94 | 94 | 80 | 62 | 48 | 31 | 50 | 87 | |
21 yrs | G | 64 | 75 | 83 | 80 | 95 | 73 | 95 | 83 | 53 | 91 | 63 | 55 | 49 | 69 | 50 | 79 | |
24 yrs | G | 51 | 79 | 84 | 82 | 78 | 70 | 99 | 52 | 71 | 93 | 96 | 43 | 88 | 54 | 50 | 76 | |
31 yrs | G | 92 | 74 | 87 | 71 | 59 | 52 | 73 | 72 | 66 | 99 | 71 | 79 | 87 | 21 | 50 | 74 | |
25 yrs | G | 56 | 74 | 63 | 71 | 68 | 88 | 92 | 90 | 64 | 53 | 64 | 50 | 75 | 44 | 50 | 72 | |
34 yrs | G | 71 | 71 | 58 | 77 | 78 | 54 | 74 | 71 | 85 | 52 | 77 | 64 | 80 | 12 | 50 | 69 |
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 | |||
---|---|---|---|---|---|---|---|
Ivan Luks (RW) | ![]() | 2 | Round: 2, Pick: 38 | GP: 0 G: 0 A:0 Pts: 0 |
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 | |||
---|---|---|---|---|---|---|---|
Ivan Luks (RW) | ![]() | 2 | Round: 2, Pick: 38 | GP: 0 G: 0 A:0 Pts: 0 |