![](images/LogoTeams/Pro/0.png)
![](images/LogoTeams/Pro/22.png)
![](images/LogoTeams/Pro/7.png)
![](images/LogoTeams/Pro/3.png)
![](images/LogoTeams/Pro/21.png)
![](images/LogoTeams/Pro/8.png)
![](images/LogoTeams/Pro/13.png)
![](images/LogoTeams/Pro/9.png)
![](images/LogoTeams/Pro/15.png)
![](images/LogoTeams/Pro/23.png)
![](images/LogoTeams/Pro/14.png)
![](images/LogoTeams/Pro/17.png)
![](images/LogoTeams/Pro/1.png)
![](images/LogoTeams/Pro/19.png)
![](images/LogoTeams/Pro/18.png)
![](images/LogoTeams/Pro/6.png)
![](images/LogoTeams/Pro/12.png)
![](images/LogoTeams/Pro/11.png)
![](images/LogoTeams/Pro/4.png)
![](images/LogoTeams/Pro/10.png)
![](images/LogoTeams/Pro/16.png)
![](images/LogoTeams/Pro/20.png)
![](images/LogoTeams/Pro/2.png)
![](images/LogoTeams/Pro/24.png)
![](images/LogoTeams/Pro/5.png)
![](images/NJHL.png)
GP | W | L | OT | Pts |
---|---|---|---|---|
0 | 0 | 0 | 0 | 0 |
# | Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C | 100.00 | 65 | 69 | 71 | 71 | 81 | 61 | 90 | 79 | 67 | 99 | 95 | 65 | 41 | 58 | 47 | 41 | 79 | 27 | 1,583,000$/2yrs | ||||
90 | ![]() | C | 100.00 | 81 | 47 | 74 | 90 | 60 | 97 | 89 | 89 | 81 | 45 | 58 | 84 | 30 | 58 | 30 | 77 | 75 | 20 | 800,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 44 | 54 | 82 | 68 | 53 | 58 | 69 | 84 | 76 | 83 | 83 | 84 | 85 | 93 | 45 | 32 | 72 | 30 | 899,000$/3yrs | ||||
0 | ![]() | LW | 100.00 | 53 | 49 | 90 | 69 | 57 | 96 | 54 | 84 | 59 | 88 | 80 | 48 | 55 | 93 | 78 | 42 | 72 | 27 | 1,098,000$/3yrs | ||||
0 | ![]() | RW | 100.00 | 35 | 40 | 80 | 71 | 79 | 87 | 50 | 65 | 84 | 50 | 69 | 94 | 35 | 81 | 82 | 65 | 69 | 22 | 2,100,000$/4yrs | ||||
0 | ![]() | D | 100.00 | 96 | 49 | 77 | 99 | 96 | 82 | 74 | 69 | 25 | 52 | 81 | 64 | 91 | 72 | 78 | 11 | 78 | 33 | 964,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 86 | 32 | 86 | 72 | 60 | 70 | 79 | 88 | 25 | 83 | 69 | 98 | 67 | 69 | 93 | 74 | 76 | 21 | 1,000,000$/2yrs | ||||
0 | ![]() | D | 100.00 | 75 | 63 | 91 | 97 | 79 | 62 | 53 | 81 | 25 | 55 | 35 | 99 | 96 | 69 | 38 | 43 | 74 | 26 | 970,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 38 | 38 | 91 | 93 | 34 | 58 | 58 | 91 | 25 | 63 | 47 | 93 | 94 | 97 | 42 | 59 | 63 | 24 | 1,000,000$/2yrs | ||||
0 | ![]() | RW | 100.00 | 62 | 62 | 67 | 88 | 94 | 93 | 58 | 80 | 84 | 66 | 90 | 83 | 96 | 93 | 93 | 72 | 79 | 22 | 1,000,000$/2yrs | ||||
0 | ![]() | C | 100.00 | 88 | 34 | 82 | 69 | 95 | 91 | 61 | 79 | 80 | 75 | 82 | 55 | 50 | 54 | 86 | 56 | 77 | 24 | 2,220,000$/5yrs | ||||
0 | ![]() | C | 100.00 | 70 | 69 | 86 | 82 | 93 | 76 | 90 | 64 | 94 | 81 | 71 | 36 | 76 | 56 | 65 | 38 | 76 | 28 | 693,000$/1yrs | ||||
74 | ![]() | LW | 100.00 | 84 | 54 | 64 | 77 | 71 | 61 | 89 | 88 | 93 | 51 | 77 | 80 | 42 | 77 | 46 | 24 | 74 | 30 | 579,000$/3yrs | ||||
0 | ![]() | RW | 100.00 | 36 | 43 | 72 | 55 | 77 | 81 | 71 | 87 | 80 | 87 | 39 | 58 | 67 | 56 | 78 | 63 | 69 | 23 | 336,000$/1yrs | ||||
0 | ![]() | D | 100.00 | 44 | 64 | 89 | 67 | 51 | 92 | 88 | 94 | 25 | 71 | 72 | 70 | 95 | 80 | 84 | 15 | 74 | 33 | 529,000$/1yrs | ||||
TEAM AVERAGE | 100.00 | 64 | 51 | 80 | 78 | 72 | 78 | 72 | 81 | 62 | 70 | 70 | 74 | 68 | 74 | 66 | 47 | 74 |
# | Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 100.00 | 61 | 81 | 55 | 87 | 64 | 61 | 78 | 69 | 53 | 58 | 66 | 84 | 88 | 65 | 67 | 22 | 1,300,000$/2yrs |
0 | ![]() | 100.00 | 58 | 56 | 67 | 91 | 79 | 98 | 69 | 81 | 94 | 90 | 55 | 96 | 92 | 20 | 78 | 32 | 1,850,000$/2yrs |
0 | ![]() | 100.00 | 60 | 96 | 70 | 67 | 66 | 61 | 59 | 94 | 92 | 88 | 59 | 70 | 33 | 50 | 75 | 25 | 2,100,000$/3yrs |
TEAM AVERAGE | 100.00 | 60 | 78 | 64 | 82 | 70 | 73 | 69 | 81 | 80 | 79 | 60 | 83 | 71 | 45 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Georges Sandhu | 51 | 85 | 38 | 62 | 71 | 95 | 72 | CAN | 65 | 2 | 600,000$ |
General Manager | Clarke Stepaniuk |
---|
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 | 18 |
Contracts | 39/55 |
LTIR Players | 0 |
Stormbreakers Roster | Pos | Age | Cap Hit | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brady Europe ![]() | C | 27 | 1,583,000$ | 1,583,000$ | 1,583,000$ | ||||||
Brooks Goupil ![]() | C | 24 | 2,220,000$ | 2,220,000$ | 2,220,000$ | 2,220,000$ | 2,220,000$ | 2,220,000$ | |||
Carmen Mcmullen ![]() | G | 22 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Corbin Brossoit ![]() | G | 32 | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||||
Jerri Narmala ![]() | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Keli Parayko ![]() | D | 26 | 970,000$ | 970,000$ | |||||||
Louis Perruccio ![]() | RW | 23 | 336,000$ | 336,000$ | |||||||
Marten Shamblin ![]() | G | 25 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | |||||
Pauli-Johannes Ponniainen ![]() | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Per-Axel Ekengren ![]() | RW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Rafael Jewitt ![]() | C | 30 | 899,000$ | 899,000$ | 899,000$ | 899,000$ | |||||
Ronald Duco ![]() | D | 33 | 529,000$ | 529,000$ | |||||||
Sam Webber ![]() | C | 28 | 693,000$ | 693,000$ | |||||||
Shang Jianlian ![]() | RW | 22 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||
Steven Gibb ![]() | LW | 27 | 1,098,000$ | 1,098,000$ | 1,098,000$ | 1,098,000$ | |||||
Vilpo Paakkinen ![]() | D | 33 | 964,000$ | 964,000$ | |||||||
Wray Flamand ![]() | C | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Yuvenaly Panchishny ![]() | LW | 30 | 579,000$ | 579,000$ | 579,000$ | 579,000$ | |||||
TOTAL | 21,021,000$ | 17,529,000$ | 8,996,000$ | 4,320,000$ | 2,220,000$ | 0$ | 0$ | 0$ |
Non-Roster | Pos | Age | Cap Hit | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bassanio Langman ![]() | D | 25 | 211,000$ | 211,000$ | |||||||
Carlos Donlon ![]() | D | 20 | 1,219,000$ | 1,219,000$ | 1,219,000$ | ||||||
Dustin Van Buskirk ![]() | RW | 22 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | ||||
Edric Macrury ![]() | RW | 34 | 804,000$ | 804,000$ | |||||||
Germaine Goodhew ![]() | RW | 31 | 1,249,000$ | 1,249,000$ | 1,249,000$ | ||||||
Israel Swenson ![]() | LW | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jake Mcadie ![]() | RW | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||
Moses Schira ![]() | RW | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Nevin Wakaluk ![]() | G | 30 | 1,365,000$ | 1,365,000$ | 1,365,000$ | 1,365,000$ | |||||
Owen Wildeman ![]() | C | 31 | 949,000$ | 949,000$ | 949,000$ | 949,000$ | |||||
Pat Szmatula ![]() | C | 22 | 618,000$ | 618,000$ | 618,000$ | ||||||
Patrik Kosatka ![]() | C | 22 | 810,000$ | 810,000$ | 810,000$ | 810,000$ | |||||
Patryk Matechuk ![]() | D | 31 | 909,000$ | 909,000$ | 909,000$ | ||||||
Price Younger ![]() | D | 21 | 900,000$ | 900,000$ | |||||||
Ronan Diotte ![]() | D | 22 | 0$ | 0$ | |||||||
Saku-Petteri Tahvanainen ![]() | G | 20 | 247,000$ | 247,000$ | 247,000$ | 247,000$ | |||||
Sergey Izvolin ![]() | D | 25 | 758,000$ | 758,000$ | |||||||
Sigvard Ukkola ![]() | RW | 29 | 499,000$ | 499,000$ | |||||||
Spike Stroud ![]() | D | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
Voldemar Tiikkainen ![]() | RW | 35 | 924,000$ | 924,000$ | |||||||
Yngve Hasselgren ![]() | RW | 27 | 865,000$ | 865,000$ | |||||||
Yury Koznov ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
TOTAL | 19,127,000 $ | 13,416,000$ | 7,721,000$ | 4,350,000$ | 1,500,000$ | 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 |
21,021,000$ | 0$ | 0$ | 47,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Samurai Dome | |
City | Seattle | ||
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$ | 50$ | 39$ | 20$ | 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 |
21,021,000$ | 21,021,000$ | 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$ | 41,033,734$ | 41,033,734$ |
Name | Age | Pos | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Left Wing | |||||||||||||||||||
30 yrs | LW | 84 | 54 | 64 | 77 | 71 | 61 | 89 | 88 | 93 | 51 | 77 | 80 | 42 | 77 | 46 | 24 | 74 | |
27 yrs | LW | 53 | 49 | 90 | 69 | 57 | 96 | 54 | 84 | 59 | 88 | 80 | 48 | 55 | 93 | 78 | 42 | 72 | |
20 yrs | LW | 32 | 40 | 81 | 78 | 62 | 60 | 69 | 91 | 52 | 79 | 52 | 87 | 37 | 80 | 70 | 73 | 70 | |
Center | |||||||||||||||||||
27 yrs | C | 65 | 69 | 71 | 71 | 81 | 61 | 90 | 79 | 67 | 99 | 95 | 65 | 41 | 58 | 47 | 41 | 79 | |
24 yrs | C | 88 | 34 | 82 | 69 | 95 | 91 | 61 | 79 | 80 | 75 | 82 | 55 | 50 | 54 | 86 | 56 | 77 | |
28 yrs | C | 70 | 69 | 86 | 82 | 93 | 76 | 90 | 64 | 94 | 81 | 71 | 36 | 76 | 56 | 65 | 38 | 76 | |
20 yrs | C | 81 | 47 | 74 | 90 | 60 | 97 | 89 | 89 | 81 | 45 | 58 | 84 | 30 | 58 | 30 | 77 | 75 | |
30 yrs | C | 44 | 54 | 82 | 68 | 53 | 58 | 69 | 84 | 76 | 83 | 83 | 84 | 85 | 93 | 45 | 32 | 72 | |
31 yrs | C | 49 | 57 | 79 | 66 | 72 | 76 | 85 | 73 | 76 | 68 | 97 | 40 | 89 | 60 | 90 | 28 | 71 | |
22 yrs | C | 74 | 54 | 60 | 63 | 50 | 86 | 84 | 92 | 85 | 49 | 70 | 52 | 66 | 94 | 52 | 73 | 68 | |
22 yrs | C | 39 | 38 | 78 | 94 | 40 | 67 | 72 | 80 | 67 | 37 | 53 | 94 | 44 | 48 | 99 | 61 | 65 | |
Right Wing | |||||||||||||||||||
22 yrs | RW | 62 | 62 | 67 | 88 | 94 | 93 | 58 | 80 | 84 | 66 | 90 | 83 | 96 | 93 | 93 | 72 | 79 | |
29 yrs | RW | 94 | 48 | 86 | 87 | 81 | 79 | 50 | 91 | 90 | 81 | 44 | 43 | 64 | 59 | 59 | 28 | 73 | |
22 yrs | RW | 61 | 64 | 90 | 76 | 80 | 87 | 52 | 88 | 68 | 65 | 64 | 78 | 73 | 45 | 59 | 59 | 73 | |
35 yrs | RW | 73 | 45 | 71 | 60 | 98 | 65 | 50 | 84 | 72 | 49 | 93 | 95 | 98 | 96 | 82 | 1 | 73 | |
31 yrs | RW | 62 | 56 | 92 | 96 | 53 | 87 | 50 | 78 | 88 | 52 | 99 | 57 | 40 | 72 | 84 | 22 | 72 | |
20 yrs | RW | 81 | 46 | 66 | 86 | 56 | 83 | 50 | 83 | 68 | 51 | 97 | 85 | 32 | 76 | 84 | 82 | 72 | |
27 yrs | RW | 77 | 66 | 94 | 59 | 61 | 67 | 57 | 65 | 73 | 45 | 95 | 96 | 82 | 85 | 63 | 41 | 69 | |
34 yrs | RW | 89 | 35 | 90 | 76 | 82 | 56 | 57 | 64 | 83 | 47 | 83 | 68 | 45 | 89 | 40 | 3 | 69 | |
23 yrs | RW | 36 | 43 | 72 | 55 | 77 | 81 | 71 | 87 | 80 | 87 | 39 | 58 | 67 | 56 | 78 | 63 | 69 | |
22 yrs | RW | 35 | 40 | 80 | 71 | 79 | 87 | 50 | 65 | 84 | 50 | 69 | 94 | 35 | 81 | 82 | 65 | 69 | |
22 yrs | RW | 47 | 43 | 66 | 63 | 48 | 74 | 69 | 84 | 46 | 82 | 86 | 66 | 53 | 81 | 91 | 59 | 69 | |
Defense | |||||||||||||||||||
33 yrs | D | 96 | 49 | 77 | 99 | 96 | 82 | 74 | 69 | 25 | 52 | 81 | 64 | 91 | 72 | 78 | 11 | 78 | |
21 yrs | D | 86 | 32 | 86 | 72 | 60 | 70 | 79 | 88 | 25 | 83 | 69 | 98 | 67 | 69 | 93 | 74 | 76 | |
26 yrs | D | 75 | 63 | 91 | 97 | 79 | 62 | 53 | 81 | 25 | 55 | 35 | 99 | 96 | 69 | 38 | 43 | 74 | |
33 yrs | D | 44 | 64 | 89 | 67 | 51 | 92 | 88 | 94 | 25 | 71 | 72 | 70 | 95 | 80 | 84 | 15 | 74 | |
25 yrs | D | 49 | 60 | 67 | 91 | 82 | 82 | 51 | 66 | 25 | 84 | 68 | 70 | 64 | 90 | 44 | 47 | 72 | |
31 yrs | D | 33 | 42 | 75 | 76 | 87 | 99 | 70 | 79 | 25 | 70 | 60 | 65 | 60 | 48 | 79 | 20 | 70 | |
25 yrs | D | 84 | 56 | 83 | 85 | 61 | 74 | 71 | 76 | 25 | 85 | 35 | 52 | 71 | 63 | 41 | 51 | 69 | |
20 yrs | D | 70 | 46 | 53 | 77 | 88 | 74 | 62 | 72 | 25 | 58 | 46 | 69 | 86 | 44 | 67 | 77 | 68 | |
22 yrs | D | 67 | 61 | 59 | 95 | 70 | 89 | 67 | 85 | 25 | 57 | 43 | 50 | 79 | 88 | 51 | 64 | 68 | |
22 yrs | D | 67 | 46 | 78 | 76 | 49 | 53 | 89 | 83 | 25 | 59 | 50 | 79 | 45 | 92 | 72 | 62 | 66 | |
21 yrs | D | 82 | 49 | 86 | 67 | 60 | 74 | 58 | 74 | 25 | 34 | 66 | 75 | 69 | 70 | 98 | 75 | 66 | |
24 yrs | D | 38 | 38 | 91 | 93 | 34 | 58 | 58 | 91 | 25 | 63 | 47 | 93 | 94 | 97 | 42 | 59 | 63 | |
25 yrs | D | 63 | 50 | 87 | 55 | 58 | 58 | 75 | 96 | 25 | 42 | 37 | 73 | 46 | 88 | 84 | 55 | 62 |
Name | Age | Pos | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Goaltender | ||||||||||||||||||
32 yrs | G | 58 | 56 | 67 | 91 | 79 | 98 | 69 | 81 | 94 | 90 | 55 | 96 | 92 | 20 | 50 | 78 | |
25 yrs | G | 60 | 96 | 70 | 67 | 66 | 61 | 59 | 94 | 92 | 88 | 59 | 70 | 33 | 50 | 50 | 75 | |
30 yrs | G | 86 | 92 | 57 | 71 | 79 | 72 | 65 | 58 | 84 | 73 | 83 | 49 | 92 | 21 | 50 | 74 | |
22 yrs | G | 61 | 81 | 55 | 87 | 64 | 61 | 78 | 69 | 53 | 58 | 66 | 84 | 88 | 65 | 50 | 67 | |
20 yrs | G | 61 | 50 | 50 | 90 | 75 | 60 | 72 | 90 | 64 | 51 | 48 | 89 | 66 | 76 | 50 | 66 |
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 Crete (C) | ![]() | 2 | Round: 3, Pick: 72 | GP: 0 G: 0 A:0 Pts: 0 | 72 | ||
Konosuke Matsui (D) | ![]() | 2 | Round: 3, Pick: 68 | GP: 0 G: 0 A:0 Pts: 0 | 68 |
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 Crete (C) | ![]() | 2 | Round: 3, Pick: 72 | GP: 0 G: 0 A:0 Pts: 0 | 72 | ||
Konosuke Matsui (D) | ![]() | 2 | Round: 3, Pick: 68 | GP: 0 G: 0 A:0 Pts: 0 | 68 |