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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Coniston Titans 0-0-0, 0pts · 9th in Canadian Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 38 | 40 | 82 | 29 | 84 | 72 | 80 | 69 | 88 | 70 | 75 | 85 | 80 | 70 | 64 | 86 | 75 | 84 | 28 | 4,766,667$/2yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 78 | 27 | 68 | 61 | 84 | 70 | 86 | 71 | 76 | 80 | 79 | 61 | 61 | 87 | 75 | 83 | 27 | 4,750,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 32 | 40 | 83 | 34 | 77 | 54 | 96 | 69 | 67 | 78 | 71 | 75 | 54 | 81 | 72 | 81 | 75 | 77 | 31 | 3,285,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 45 | 40 | 79 | 31 | 74 | 50 | 99 | 69 | 25 | 71 | 75 | 60 | 47 | 48 | 42 | 84 | 75 | 76 | 25 | 3,700,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 56 | 40 | 78 | 38 | 79 | 50 | 99 | 62 | 67 | 56 | 75 | 80 | 47 | 47 | 45 | 78 | 75 | 76 | 24 | 894,167$/1yrs | |||
![]() | 0 | C | 100.00 | 45 | 48 | 81 | 36 | 68 | 50 | 84 | 64 | 70 | 61 | 77 | 70 | 45 | 40 | 37 | 80 | 75 | 75 | 28 | 1,500,000$/3yrs | |||
![]() | 62 | C/RW | 100.00 | 62 | 47 | 77 | 45 | 77 | 50 | 99 | 56 | 87 | 48 | 70 | 93 | 47 | 55 | 50 | 72 | 75 | 74 | 31 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 49 | 40 | 72 | 36 | 83 | 50 | 82 | 67 | 60 | 72 | 73 | 65 | 90 | 53 | 48 | 80 | 75 | 74 | 23 | 894,166$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 54 | 40 | 79 | 41 | 81 | 50 | 80 | 59 | 76 | 60 | 72 | 78 | 76 | 67 | 55 | 75 | 75 | 73 | 35 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 47 | 75 | 46 | 77 | 50 | 91 | 63 | 70 | 64 | 68 | 83 | 45 | 87 | 65 | 71 | 75 | 71 | 35 | 1,450,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 40 | 45 | 78 | 43 | 90 | 60 | 99 | 61 | 67 | 55 | 75 | 65 | 47 | 54 | 47 | 74 | 75 | 71 | 26 | 3,300,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 46 | 40 | 83 | 48 | 75 | 50 | 66 | 52 | 73 | 58 | 69 | 86 | 47 | 64 | 54 | 69 | 75 | 70 | 32 | 1,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 35 | 46 | 75 | 41 | 84 | 99 | 63 | 69 | 25 | 66 | 74 | 86 | 47 | 57 | 64 | 85 | 75 | 87 | 25 | 7,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 32 | 40 | 77 | 41 | 81 | 77 | 98 | 75 | 25 | 81 | 64 | 90 | 45 | 51 | 44 | 84 | 75 | 85 | 26 | 4,025,000$/1yrs | |||
![]() | 0 | D | 100.00 | 40 | 40 | 80 | 40 | 80 | 85 | 98 | 78 | 25 | 85 | 66 | 74 | 47 | 61 | 66 | 86 | 75 | 82 | 27 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 33 | 40 | 80 | 36 | 77 | 74 | 95 | 82 | 25 | 97 | 67 | 65 | 90 | 68 | 58 | 92 | 75 | 81 | 25 | 5,200,000$/5yrs | |||
![]() | 24 | D | 100.00 | 45 | 45 | 75 | 50 | 84 | 56 | 99 | 58 | 25 | 65 | 65 | 87 | 45 | 55 | 46 | 71 | 75 | 75 | 29 | 1,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 32 | 40 | 83 | 46 | 70 | 50 | 41 | 71 | 25 | 78 | 65 | 68 | 47 | 43 | 41 | 77 | 75 | 71 | 26 | 1,900,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 49 | 40 | 78 | 50 | 83 | 60 | 95 | 60 | 25 | 62 | 68 | 79 | 45 | 34 | 33 | 71 | 75 | 73 | 21 | 725,000$/1yrs | |||
![]() | 22 | D | 100.00 | 51 | 40 | 78 | 51 | 87 | 50 | 93 | 60 | 25 | 51 | 68 | 80 | 45 | 53 | 45 | 70 | 75 | 72 | 29 | 1,500,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 45 | 42 | 79 | 40 | 79 | 60 | 87 | 66 | 52 | 67 | 71 | 77 | 56 | 57 | 52 | 79 | 75 | 77 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 94 | 95 | 76 | 82 | 94 | 82 | 83 | 83 | 82 | 75 | 54 | 49 | 77 | 75 | 82 | 26 | 3,500,000$/3yrs |
![]() | 0 | 100.00 | 84 | 45 | 66 | 60 | 84 | 90 | 84 | 84 | 83 | 83 | 76 | 57 | 83 | 66 | 75 | 66 | 41 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 99.14 | 85 | 60 | 91 | 77 | 85 | 97 | 85 | 85 | 85 | 85 | 69 | 56 | 50 | 86 | 75 | 87 | 29 | 1,650,000$/5yrs |
TEAM AVERAGE | 99.71 | 84 | 66 | 84 | 71 | 84 | 94 | 84 | 84 | 84 | 83 | 73 | 56 | 61 | 76 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 99 | 94 | 75 | 85 | 94 | 95 | 28 | CAN | 63 | 1 | 0$ |
General Manager | Michael Costa |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|
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 |
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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 | nan | nan | nan | 0 | 0.000 | nan | nan | nan | 0 | 0 | 0 | 0 | 0 | 0 | nan | 0 | 0 | 0 | 0 | nan | nan | nan | nan | nan | nan | 0.00% | nan | nan | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | nan | nan | nan | nan | nan | nan | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 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 | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
![]() | |
Total Salaries | 63,387,582$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 81,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 54 |
Goalies Signed (min. 6) | 8 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Titans Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad | D | 25 | 7,500,000$ | 1,339,286$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Alexander Yeryomenko | G | 41 | 925,000$ | 165,179$ | 925,000$ | UFA | ||||||
Anthony Mantha | LW/RW | 26 | 3,300,000$ | 589,286$ | 3,300,000$ | RFA | ||||||
Blake Comeau | LW/RW | 35 | 1,450,000$ | 258,929$ | 1,450,000$ | UFA | ||||||
Brett Pesce | D | 26 | 4,025,000$ | 718,750$ | 4,025,000$ | RFA | ||||||
Carl Soderberg | C/LW | 35 | 1,000,000$ | 178,571$ | 1,000,000$ | UFA | ||||||
Colin Blackwell | C | 28 | 1,500,000$ | 267,857$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Derek Forbort | D | 29 | 1,500,000$ | 267,857$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Dominik Kubalik | LW/RW | 25 | 3,700,000$ | 660,714$ | 3,700,000$ | 3,700,000$ | RFA | |||||
Jack Campbell | G | 29 | 1,650,000$ | 294,643$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | ||
Joel Eriksson Ek | C/LW/RW | 24 | 894,167$ | 159,673$ | 894,167$ | RFA | ||||||
Josh Bailey | C/LW/RW | 31 | 3,285,000$ | 586,607$ | 3,285,000$ | UFA | ||||||
K'Andre Miller | D | 21 | 725,000$ | 129,464$ | 725,000$ | RFA | ||||||
Morgan Rielly | D | 27 | 5,000,000$ | 892,857$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Nic Dowd | C/RW | 31 | 1,000,000$ | 178,571$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Patrik Nemeth | D | 29 | 1,500,000$ | 267,857$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Pierre-Luc Dubois | C/LW | 23 | 894,166$ | 159,673$ | 894,166$ | 894,166$ | RFA | |||||
Riley Nash | C/RW | 32 | 1,400,000$ | 250,000$ | 1,400,000$ | UFA | ||||||
Sean Couturier | C | 28 | 4,766,667$ | 851,191$ | 4,766,667$ | 4,766,667$ | UFA | |||||
Shea Theodore | D | 25 | 5,200,000$ | 928,571$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | ||
Tristan Jarry | G | 26 | 3,500,000$ | 625,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Vincent Trocheck | C | 27 | 4,750,000$ | 848,214$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Will Butcher | D | 26 | 1,900,000$ | 339,286$ | 1,900,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | C/LW | 20 | 625,000$ | 11,161$ | 62,500$ | 62,500$ | RFA | |||||
Anthony Romano | C/RW | 20 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Bode Wilde | D | 21 | 725,000$ | 12,946$ | 72,500$ | RFA | ||||||
Boris Katchouk | LW | 23 | 833,333$ | 14,881$ | 83,333$ | 83,333$ | RFA | |||||
Eric Comrie | G | 25 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Filip Chlapik | C | 24 | 728,333$ | 13,006$ | 72,833$ | RFA | ||||||
Grigori Denisenko | LW/RW | 21 | 875,000$ | 15,625$ | 87,500$ | RFA | ||||||
Harri Sateri | G | 31 | 450,000$ | 8,036$ | 45,000$ | UFA | ||||||
James Greenway | D | 23 | 525,000$ | 9,375$ | 52,500$ | 52,500$ | RFA | |||||
Jansen Harkins | C | 24 | 767,500$ | 13,705$ | 76,750$ | RFA | ||||||
Jayden Struble | D | 19 | 725,000$ | 12,946$ | 72,500$ | 72,500$ | RFA | |||||
Jesperi Kotkaniemi | C | 20 | 925,000$ | 16,518$ | 92,500$ | RFA | ||||||
Jonny Brodzinski | C/RW | 28 | 700,000$ | 12,500$ | 70,000$ | UFA | ||||||
Julius Honka | D | 25 | 575,000$ | 10,268$ | 57,500$ | 57,500$ | RFA | |||||
Justin Schutz | LW | 21 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Marek Langhamer | G | 26 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Markus Niemelainen | D | 23 | 817,500$ | 14,598$ | 81,750$ | 81,750$ | RFA | |||||
Mason Millman | D | 19 | 550,000$ | 9,821$ | 55,000$ | 55,000$ | RFA | |||||
Max Gildon | D | 22 | 853,333$ | 15,238$ | 85,333$ | 85,333$ | 85,333$ | RFA | ||||
Michael McCarron | C/RW | 26 | 700,000$ | 12,500$ | 70,000$ | RFA | ||||||
Nicolas Meloche | D | 23 | 853,333$ | 15,238$ | 85,333$ | RFA | ||||||
Nikita Tryamkin | D | 26 | 800,000$ | 14,286$ | 80,000$ | RFA | ||||||
Olivier Rodrigue | G | 20 | 625,000$ | 11,161$ | 62,500$ | RFA | ||||||
Paul Cotter | C/LW | 21 | 500,000$ | 8,929$ | 50,000$ | RFA | ||||||
Pontus Holmberg | C/LW | 22 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Sean Day | D | 23 | 761,666$ | 13,601$ | 76,167$ | RFA | ||||||
Teemu Hartikainen | C/LW/RW | 31 | 450,000$ | 8,036$ | 45,000$ | UFA | ||||||
Tim Gettinger | LW | 23 | 730,000$ | 13,036$ | 73,000$ | 73,000$ | RFA | |||||
Tomas Vomacka | G | 22 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Toni Utunen | D | 21 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Yakov Trenin | C/LW/RW | 24 | 730,833$ | 13,051$ | 73,083$ | RFA |
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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 | nan | nan | nan | 0 | 0.000 | nan | nan | nan | 0 | 0 | 0 | 0 | 0 | 0 | nan | 0 | 0 | 0 | 0 | nan | nan | nan | nan | nan | nan | 0.00% | nan | nan | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | nan | nan | nan | nan | nan | nan | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 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 | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
61,365,000$ | 0$ | 0$ | 81,500,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | ||
City | Coniston | ||
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$ | 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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
61,365,000$ | 61,365,000$ | 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$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 173,223,131$ | 173,223,131$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2022 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Ljungkrantz | ![]() | 2020 | 101 | ||
Bogdan Trineyev | ![]() | 2020 | 129 | ||
Chase Yoder | ![]() | 2020 | 185 | ||
Daniel Torgersson | ![]() | 2020 | 45 | ||
Hakon Hanelt | ![]() | 2021 | 158 | ||
Ian Moore | ![]() | 2020 | 73 | ||
Luca Munzenberger | ![]() | 2021 | 98 | ||
Matt Coronato | ![]() | 2021 | 14 | ||
Ole Julian Bjorgvik Holm | ![]() | 2020 | 157 | ||
Oliver Kapanen | ![]() | 2021 | 70 | ||
Rodion Amirov | ![]() | 2020 | 17 | ||
Ryker Evans | ![]() | 2021 | 42 | ||
Tyson Galloway | ![]() | 2021 | 154 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2022 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Ljungkrantz | ![]() | 2020 | 101 | ||
Bogdan Trineyev | ![]() | 2020 | 129 | ||
Chase Yoder | ![]() | 2020 | 185 | ||
Daniel Torgersson | ![]() | 2020 | 45 | ||
Hakon Hanelt | ![]() | 2021 | 158 | ||
Ian Moore | ![]() | 2020 | 73 | ||
Luca Munzenberger | ![]() | 2021 | 98 | ||
Matt Coronato | ![]() | 2021 | 14 | ||
Ole Julian Bjorgvik Holm | ![]() | 2020 | 157 | ||
Oliver Kapanen | ![]() | 2021 | 70 | ||
Rodion Amirov | ![]() | 2020 | 17 | ||
Ryker Evans | ![]() | 2021 | 42 | ||
Tyson Galloway | ![]() | 2021 | 154 |
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