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![](images/LogoTeams/Pro/23.png)
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![](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)
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![](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: Kelly Flewelling | League Rank:2nd | Arena: Rogers Place |
Conference: Northern Conference | Conference Rank:1st | Capacity:17,000 |
Division: North West | Division Rank:1st | Total Player Salaries:42,357,500$ |
Captain: Enzo Schultz | Last 10: 0-0-0 | Bank Account:52,413,329$ |
Coach: | Home: 0-0-0 | |
All-Time Record: 74 W - 67 L - 19 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 | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11 | ![]() | RW | 100.00 | 50 | 66 | 80 | 74 | 80 | 87 | 89 | 99 | 69 | 91 | 70 | 99 | 83 | 73 | 48 | 49 | 83 | 26 | 1,352,000$/1yrs | ||||
19 | ![]() | LW | 100.00 | 72 | 37 | 72 | 76 | 86 | 93 | 90 | 72 | 83 | 67 | 73 | 94 | 91 | 37 | 63 | 70 | 80 | 20 | 2,800,000$/4yrs | ||||
55 | ![]() | LW | 100.00 | 79 | 56 | 83 | 87 | 53 | 79 | 79 | 76 | 86 | 89 | 65 | 82 | 90 | 84 | 88 | 67 | 78 | 22 | 800,000$/2yrs | ||||
17 | ![]() | RW | 100.00 | 85 | 37 | 85 | 73 | 84 | 91 | 82 | 81 | 67 | 42 | 88 | 87 | 59 | 89 | 46 | 56 | 77 | 24 | 2,500,000$/4yrs | ||||
18 | ![]() | LW | 100.00 | 51 | 66 | 60 | 95 | 90 | 83 | 93 | 88 | 73 | 72 | 48 | 69 | 56 | 92 | 89 | 55 | 77 | 24 | 1,107,000$/2yrs | ||||
14 | ![]() | RW | 100.00 | 95 | 58 | 78 | 89 | 64 | 72 | 88 | 65 | 85 | 66 | 93 | 61 | 75 | 95 | 49 | 74 | 76 | 20 | 2,015,000$/1yrs | ||||
79 | ![]() | RW | 100.00 | 92 | 56 | 59 | 65 | 80 | 80 | 57 | 76 | 77 | 73 | 77 | 94 | 44 | 67 | 73 | 82 | 75 | 19 | 800,000$/2yrs | ||||
8 | ![]() | D | 100.00 | 56 | 64 | 73 | 65 | 99 | 81 | 56 | 79 | 25 | 80 | 68 | 93 | 59 | 76 | 44 | 42 | 77 | 27 | 813,000$/1yrs | ||||
9 | ![]() | D | 100.00 | 35 | 50 | 93 | 94 | 87 | 90 | 92 | 70 | 25 | 66 | 39 | 94 | 35 | 73 | 96 | 55 | 77 | 25 | 1,107,000$/3yrs | ||||
22 | ![]() | D | 100.00 | 33 | 40 | 90 | 86 | 88 | 85 | 69 | 84 | 25 | 64 | 79 | 74 | 61 | 69 | 58 | 53 | 77 | 25 | 847,000$/3yrs | ||||
4 | ![]() | D | 100.00 | 81 | 58 | 33 | 96 | 73 | 67 | 73 | 68 | 25 | 73 | 56 | 95 | 85 | 60 | 68 | 54 | 75 | 24 | 1,839,000$/1yrs | ||||
3 | ![]() | D | 100.00 | 61 | 44 | 55 | 93 | 66 | 88 | 76 | 65 | 25 | 85 | 45 | 95 | 48 | 53 | 67 | 66 | 75 | 21 | 1,515,000$/1yrs | ||||
10 | ![]() | C | 100.00 | 86 | 57 | 77 | 99 | 99 | 99 | 96 | 90 | 95 | 43 | 83 | 90 | 45 | 64 | 57 | 48 | 85 | 26 | 3,900,000$/5yrs | ||||
21 | ![]() | C | 100.00 | 60 | 63 | 74 | 91 | 84 | 98 | 67 | 97 | 83 | 70 | 63 | 79 | 59 | 50 | 69 | 25 | 79 | 31 | 3,000,000$/3yrs | ||||
27 | ![]() | C | 100.00 | 93 | 33 | 81 | 91 | 61 | 67 | 67 | 94 | 77 | 76 | 74 | 86 | 88 | 92 | 58 | 79 | 78 | 20 | 1,000,000$/2yrs | ||||
13 | ![]() | LW | 100.00 | 73 | 36 | 89 | 76 | 64 | 71 | 50 | 96 | 57 | 75 | 92 | 96 | 54 | 56 | 54 | 56 | 77 | 24 | 4,000,000$/5yrs | ||||
49 | ![]() | C | 100.00 | 71 | 30 | 60 | 89 | 96 | 97 | 72 | 94 | 98 | 76 | 56 | 32 | 93 | 56 | 83 | 68 | 76 | 22 | 1,700,000$/5yrs | ||||
28 | ![]() | C | 100.00 | 50 | 41 | 63 | 98 | 80 | 66 | 94 | 98 | 86 | 52 | 60 | 77 | 65 | 52 | 53 | 41 | 75 | 28 | 530,000$/1yrs | ||||
51 | ![]() | D | 100.00 | 52 | 70 | 92 | 80 | 94 | 91 | 94 | 69 | 25 | 89 | 78 | 64 | 72 | 41 | 96 | 28 | 82 | 30 | 700,000$/4yrs | ||||
6 | ![]() | D | 100.00 | 58 | 36 | 90 | 68 | 80 | 82 | 66 | 73 | 25 | 61 | 76 | 90 | 38 | 49 | 73 | 66 | 73 | 23 | 1,750,000$/4yrs | ||||
77 | ![]() | D | 100.00 | 78 | 31 | 74 | 83 | 44 | 82 | 60 | 77 | 25 | 85 | 61 | 97 | 62 | 27 | 49 | 77 | 72 | 20 | 900,000$/2yrs | ||||
TEAM AVERAGE | 100.00 | 67 | 49 | 74 | 84 | 79 | 83 | 77 | 81 | 59 | 71 | 69 | 83 | 65 | 65 | 66 | 58 | 77 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 100.00 | 70 | 83 | 89 | 65 | 54 | 95 | 77 | 71 | 94 | 76 | 87 | 46 | 89 | 80 | 77 | 20 | 1,945,000$/2yrs |
31 | ![]() | 100.00 | 72 | 74 | 93 | 72 | 56 | 91 | 57 | 97 | 66 | 98 | 89 | 43 | 37 | 5 | 78 | 34 | 2,200,000$/1yrs |
35 | ![]() | 100.00 | 85 | 76 | 69 | 70 | 69 | 99 | 67 | 62 | 98 | 65 | 88 | 47 | 83 | 33 | 76 | 28 | 1,537,500$/1yrs |
TEAM AVERAGE | 100.00 | 76 | 78 | 84 | 69 | 60 | 95 | 67 | 77 | 86 | 80 | 88 | 45 | 70 | 39 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Kelly 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 | 24 |
Contracts | 52/55 |
LTIR Players | 0 |
Blizzard Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Abel Braun ![]() | D | 27 | 813,000$ | 813,000$ | |||||||
Afanasy Mekhnin ![]() | D | 25 | 1,107,000$ | 1,107,000$ | 1,107,000$ | 1,107,000$ | |||||
Albert Guryev ![]() | D | 21 | 1,515,000$ | 1,515,000$ | |||||||
Albin Kahonen ![]() | D | 24 | 1,839,000$ | 1,839,000$ | |||||||
Artyom Kasutin ![]() | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Bogdan Laptev ![]() | LW | 24 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||
Devon Guptill ![]() | C | 28 | 530,000$ | 530,000$ | |||||||
Enzo Schultz ![]() | D | 30 | 700,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | ||||
Fletcher Melindy ![]() | C | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Gleb Kramarev ![]() | G | 28 | 1,537,500$ | 1,537,500$ | |||||||
Hale Jeffs ![]() | LW | 24 | 1,107,000$ | 1,107,000$ | 1,107,000$ | ||||||
Joel Quintal ![]() | RW | 20 | 2,015,000$ | 2,015,000$ | |||||||
Kaiden Simmonds ![]() | C | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Lazarz Zawilinski ![]() | RW | 26 | 1,352,000$ | 1,352,000$ | |||||||
Levi Radmacher ![]() | G | 34 | 2,200,000$ | 2,200,000$ | |||||||
Marcello Kay ![]() | RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Mikhail Pervago ![]() | D | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Nathanael Miller ![]() | LW | 20 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | ||||
Penna Ruhkala ![]() | D | 23 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||
Phillip Saganiuk ![]() | RW | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ramazan Buranbayev ![]() | D | 25 | 847,000$ | 847,000$ | 847,000$ | 847,000$ | |||||
Tony Lamoureux ![]() | C | 26 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | |||
Tor Kronberg ![]() | G | 20 | 1,945,000$ | 1,945,000$ | 1,945,000$ | ||||||
Willem Halward ![]() | C | 22 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||
TOTAL | 42,357,500$ | 30,556,000$ | 24,004,000$ | 19,050,000$ | 9,600,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anatoly Petukhov ![]() | C | 22 | 700,000$ | 700,000$ | |||||||
Anton Roy ![]() | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Cash Courchaine ![]() | C | 23 | 576,000$ | 576,000$ | 576,000$ | ||||||
Enver Mendrelyuk ![]() | LW | 21 | 457,000$ | 457,000$ | |||||||
Frederick Weston ![]() | D | 22 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
Gunnar Lagergren ![]() | D | 30 | 459,000$ | 459,000$ | 459,000$ | 459,000$ | |||||
Hart Crowel ![]() | D | 26 | 760,000$ | 760,000$ | |||||||
Jackson Quinney ![]() | C | 21 | 301,000$ | 301,000$ | |||||||
Jaden Herle ![]() | RW | 22 | 500,000$ | 500,000$ | 500,000$ | ||||||
Jaiden Holmgren ![]() | LW | 24 | 1,097,000$ | 1,097,000$ | 1,097,000$ | 1,097,000$ | |||||
K.C. Bachman ![]() | D | 30 | 1,300,000$ | 1,300,000$ | |||||||
Leonid Veschagin ![]() | C | 29 | 849,000$ | 849,000$ | 849,000$ | ||||||
Louis Stumborg ![]() | LW | 21 | 411,000$ | 411,000$ | 411,000$ | ||||||
Maik Azeyev ![]() | LW | 20 | 1,075,000$ | 1,075,000$ | |||||||
Maksim Ushkov ![]() | D | 24 | 1,302,000$ | 1,302,000$ | 1,302,000$ | 1,302,000$ | |||||
Markos Kuuva ![]() | RW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Mich Soquila ![]() | RW | 22 | 300,000$ | 300,000$ | |||||||
Nate Burridge ![]() | LW | 34 | 669,000$ | 669,000$ | |||||||
Nels Forget ![]() | C | 25 | 442,000$ | 442,000$ | 442,000$ | 442,000$ | |||||
Nerijus Fomenka ![]() | D | 21 | 1,255,000$ | 1,255,000$ | |||||||
Raphael Dupuis ![]() | RW | 22 | 760,000$ | 760,000$ | |||||||
Tadeas Kodera ![]() | RW | 21 | 720,000$ | 720,000$ | |||||||
Teuvo Kuuri ![]() | RW | 22 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
Tobias Westman ![]() | G | 28 | 1,670,000$ | 1,670,000$ | 1,670,000$ | ||||||
Trafim Zuew ![]() | LW | 21 | 200,000$ | 200,000$ | 200,000$ | 200,000$ | |||||
Unto Leukkunen ![]() | D | 21 | 0$ | 0$ | |||||||
Vyacheslav Burdelyov ![]() | C | 23 | 448,000$ | 448,000$ | 448,000$ | ||||||
Zachary Andjelic ![]() | G | 22 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||
Zack Hoggan ![]() | D | 24 | 597,000$ | 597,000$ | 597,000$ | ||||||
TOTAL | 24,847,998 $ | 16,550,998$ | 11,499,998$ | 7,099,998$ | 1,600,000$ | 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 |
42,357,500$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rogers Place | |
City | Edmonton | ||
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 |
42,357,500$ | 40,657,500$ | 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$ | 52,413,329$ | 52,413,329$ |
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 | 72 | 37 | 72 | 76 | 86 | 93 | 90 | 72 | 83 | 67 | 73 | 94 | 91 | 37 | 63 | 70 | 80 | |
22 yrs | LW | 79 | 56 | 83 | 87 | 53 | 79 | 79 | 76 | 86 | 89 | 65 | 82 | 90 | 84 | 88 | 67 | 78 | |
24 yrs | LW | 51 | 66 | 60 | 95 | 90 | 83 | 93 | 88 | 73 | 72 | 48 | 69 | 56 | 92 | 89 | 55 | 77 | |
24 yrs | LW | 73 | 36 | 89 | 76 | 64 | 71 | 50 | 96 | 57 | 75 | 92 | 96 | 54 | 56 | 54 | 56 | 77 | |
24 yrs | LW | 59 | 56 | 67 | 89 | 90 | 82 | 85 | 67 | 73 | 52 | 85 | 71 | 60 | 72 | 84 | 53 | 75 | |
20 yrs | LW | 49 | 55 | 77 | 62 | 87 | 66 | 86 | 77 | 68 | 91 | 43 | 80 | 85 | 54 | 75 | 72 | 73 | |
21 yrs | LW | 88 | 32 | 84 | 85 | 98 | 71 | 57 | 95 | 86 | 42 | 87 | 25 | 67 | 85 | 94 | 64 | 71 | |
21 yrs | LW | 32 | 39 | 65 | 93 | 68 | 87 | 75 | 60 | 68 | 56 | 46 | 92 | 55 | 42 | 64 | 68 | 69 | |
34 yrs | LW | 93 | 51 | 91 | 84 | 48 | 54 | 72 | 76 | 85 | 47 | 63 | 66 | 85 | 44 | 39 | 5 | 67 | |
21 yrs | LW | 89 | 44 | 90 | 61 | 54 | 77 | 50 | 57 | 83 | 90 | 58 | 27 | 82 | 80 | 60 | 74 | 65 | |
Center | |||||||||||||||||||
26 yrs | C | 86 | 57 | 77 | 99 | 99 | 99 | 96 | 90 | 95 | 43 | 83 | 90 | 45 | 64 | 57 | 48 | 85 | |
31 yrs | C | 60 | 63 | 74 | 91 | 84 | 98 | 67 | 97 | 83 | 70 | 63 | 79 | 59 | 50 | 69 | 25 | 79 | |
20 yrs | C | 93 | 33 | 81 | 91 | 61 | 67 | 67 | 94 | 77 | 76 | 74 | 86 | 88 | 92 | 58 | 79 | 78 | |
22 yrs | C | 71 | 30 | 60 | 89 | 96 | 97 | 72 | 94 | 98 | 76 | 56 | 32 | 93 | 56 | 83 | 68 | 76 | |
28 yrs | C | 50 | 41 | 63 | 98 | 80 | 66 | 94 | 98 | 86 | 52 | 60 | 77 | 65 | 52 | 53 | 41 | 75 | |
29 yrs | C | 89 | 56 | 86 | 75 | 98 | 94 | 85 | 79 | 95 | 60 | 49 | 36 | 72 | 54 | 88 | 30 | 74 | |
25 yrs | C | 82 | 63 | 69 | 62 | 96 | 96 | 71 | 65 | 90 | 80 | 56 | 37 | 91 | 75 | 68 | 55 | 72 | |
23 yrs | C | 68 | 33 | 66 | 92 | 72 | 68 | 84 | 70 | 93 | 56 | 84 | 52 | 36 | 64 | 40 | 61 | 72 | |
22 yrs | C | 76 | 36 | 92 | 69 | 84 | 74 | 55 | 65 | 91 | 37 | 80 | 63 | 70 | 69 | 48 | 68 | 68 | |
23 yrs | C | 31 | 48 | 58 | 90 | 58 | 73 | 78 | 58 | 99 | 52 | 84 | 69 | 88 | 53 | 92 | 63 | 68 | |
21 yrs | C | 50 | 51 | 55 | 89 | 44 | 88 | 50 | 71 | 85 | 51 | 34 | 91 | 89 | 41 | 66 | 66 | 64 | |
Right Wing | |||||||||||||||||||
26 yrs | RW | 50 | 66 | 80 | 74 | 80 | 87 | 89 | 99 | 69 | 91 | 70 | 99 | 83 | 73 | 48 | 49 | 83 | |
24 yrs | RW | 85 | 37 | 85 | 73 | 84 | 91 | 82 | 81 | 67 | 42 | 88 | 87 | 59 | 89 | 46 | 56 | 77 | |
20 yrs | RW | 95 | 58 | 78 | 89 | 64 | 72 | 88 | 65 | 85 | 66 | 93 | 61 | 75 | 95 | 49 | 74 | 76 | |
19 yrs | RW | 92 | 56 | 59 | 65 | 80 | 80 | 57 | 76 | 77 | 73 | 77 | 94 | 44 | 67 | 73 | 82 | 75 | |
22 yrs | RW | 88 | 63 | 64 | 70 | 55 | 84 | 68 | 70 | 90 | 75 | 51 | 74 | 73 | 84 | 48 | 63 | 71 | |
22 yrs | RW | 97 | 33 | 66 | 54 | 63 | 81 | 68 | 95 | 91 | 74 | 57 | 52 | 62 | 94 | 53 | 67 | 71 | |
22 yrs | RW | 51 | 43 | 88 | 80 | 58 | 77 | 56 | 92 | 56 | 88 | 51 | 57 | 54 | 88 | 56 | 60 | 70 | |
22 yrs | RW | 33 | 39 | 85 | 51 | 85 | 66 | 56 | 75 | 63 | 86 | 61 | 65 | 84 | 32 | 90 | 63 | 68 | |
22 yrs | RW | 37 | 65 | 86 | 71 | 45 | 84 | 88 | 59 | 94 | 70 | 68 | 37 | 81 | 50 | 37 | 73 | 67 | |
21 yrs | RW | 28 | 52 | 61 | 56 | 52 | 67 | 72 | 79 | 89 | 56 | 64 | 81 | 53 | 50 | 74 | 66 | 64 | |
Defense | |||||||||||||||||||
30 yrs | D | 52 | 70 | 92 | 80 | 94 | 91 | 94 | 69 | 25 | 89 | 78 | 64 | 72 | 41 | 96 | 28 | 82 | |
27 yrs | D | 56 | 64 | 73 | 65 | 99 | 81 | 56 | 79 | 25 | 80 | 68 | 93 | 59 | 76 | 44 | 42 | 77 | |
25 yrs | D | 35 | 50 | 93 | 94 | 87 | 90 | 92 | 70 | 25 | 66 | 39 | 94 | 35 | 73 | 96 | 55 | 77 | |
25 yrs | D | 33 | 40 | 90 | 86 | 88 | 85 | 69 | 84 | 25 | 64 | 79 | 74 | 61 | 69 | 58 | 53 | 77 | |
24 yrs | D | 81 | 58 | 33 | 96 | 73 | 67 | 73 | 68 | 25 | 73 | 56 | 95 | 85 | 60 | 68 | 54 | 75 | |
21 yrs | D | 61 | 44 | 55 | 93 | 66 | 88 | 76 | 65 | 25 | 85 | 45 | 95 | 48 | 53 | 67 | 66 | 75 | |
21 yrs | D | 84 | 44 | 70 | 86 | 83 | 67 | 80 | 59 | 25 | 74 | 73 | 65 | 93 | 59 | 67 | 65 | 74 | |
23 yrs | D | 58 | 36 | 90 | 68 | 80 | 82 | 66 | 73 | 25 | 61 | 76 | 90 | 38 | 49 | 73 | 66 | 73 | |
24 yrs | D | 90 | 44 | 93 | 56 | 57 | 87 | 63 | 59 | 25 | 78 | 56 | 98 | 52 | 68 | 99 | 59 | 73 | |
30 yrs | D | 44 | 38 | 88 | 65 | 79 | 99 | 60 | 78 | 25 | 50 | 72 | 98 | 34 | 53 | 60 | 25 | 72 | |
30 yrs | D | 93 | 41 | 67 | 80 | 90 | 57 | 68 | 72 | 25 | 56 | 60 | 71 | 40 | 67 | 62 | 22 | 72 | |
20 yrs | D | 78 | 31 | 74 | 83 | 44 | 82 | 60 | 77 | 25 | 85 | 61 | 97 | 62 | 27 | 49 | 77 | 72 | |
23 yrs | D | 70 | 37 | 93 | 87 | 30 | 67 | 67 | 100 | 25 | 81 | 64 | 51 | 39 | 87 | 71 | 58 | 71 | |
22 yrs | D | 65 | 39 | 64 | 56 | 66 | 88 | 56 | 87 | 25 | 74 | 48 | 89 | 93 | 35 | 40 | 73 | 69 | |
26 yrs | D | 32 | 41 | 79 | 92 | 78 | 59 | 58 | 66 | 25 | 85 | 34 | 69 | 85 | 97 | 83 | 43 | 66 | |
21 yrs | D | 49 | 51 | 74 | 52 | 85 | 50 | 76 | 57 | 25 | 51 | 35 | 93 | 65 | 39 | 78 | 73 | 65 | |
24 yrs | D | 34 | 38 | 66 | 54 | 65 | 92 | 59 | 76 | 25 | 72 | 38 | 76 | 31 | 55 | 46 | 58 | 63 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
34 yrs | G | 72 | 74 | 93 | 72 | 56 | 91 | 57 | 97 | 66 | 98 | 89 | 43 | 37 | 5 | 50 | 78 | |
20 yrs | G | 70 | 83 | 89 | 65 | 54 | 95 | 77 | 71 | 94 | 76 | 87 | 46 | 89 | 80 | 50 | 77 | |
28 yrs | G | 85 | 76 | 69 | 70 | 69 | 99 | 67 | 62 | 98 | 65 | 88 | 47 | 83 | 33 | 50 | 76 | |
28 yrs | G | 98 | 58 | 64 | 71 | 56 | 52 | 99 | 73 | 90 | 82 | 83 | 96 | 90 | 36 | 50 | 74 | |
22 yrs | G | 64 | 89 | 76 | 70 | 84 | 47 | 56 | 80 | 90 | 84 | 64 | 66 | 47 | 70 | 50 | 74 |
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 | |||
---|---|---|---|---|---|---|---|
Darko Rekelj (C) | ![]() | 2 | Round: 1, Pick: 24 | GP: 0 G: 0 A:0 Pts: 0 | |||
Remy Botelho (G) | ![]() | 2 | Round: 4, Pick: 75 | GP:0 W:0, SV%:0, GAA:0 | |||
Vitaly Petrakov (LW) | ![]() | 2 | Round: 5, Pick: 99 | 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 | |||
---|---|---|---|---|---|---|---|
Darko Rekelj (C) | ![]() | 2 | Round: 1, Pick: 24 | GP: 0 G: 0 A:0 Pts: 0 | |||
Remy Botelho (G) | ![]() | 2 | Round: 4, Pick: 75 | GP:0 W:0, SV%:0, GAA:0 | |||
Vitaly Petrakov (LW) | ![]() | 2 | Round: 5, Pick: 99 | GP: 0 G: 0 A:0 Pts: 0 |