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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Calgary Meteors 0-0-0, 0pts · 10th 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/LW | 100.00 | 34 | 40 | 77 | 38 | 71 | 87 | 93 | 65 | 64 | 60 | 74 | 78 | 66 | 61 | 71 | 78 | 75 | 79 | 28 | 6,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 55 | 47 | 74 | 35 | 73 | 50 | 79 | 68 | 36 | 67 | 73 | 69 | 99 | 80 | 69 | 80 | 75 | 75 | 34 | 3,000,000$/1yrs | |||
![]() | 22 | LW/RW | 100.00 | 35 | 40 | 80 | 34 | 78 | 50 | 79 | 66 | 60 | 65 | 79 | 66 | 47 | 76 | 62 | 81 | 75 | 75 | 28 | 5,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 93 | 64 | 69 | 41 | 80 | 50 | 99 | 63 | 65 | 64 | 69 | 82 | 45 | 50 | 50 | 75 | 75 | 74 | 29 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 39 | 52 | 76 | 41 | 76 | 83 | 79 | 66 | 72 | 67 | 71 | 64 | 69 | 48 | 51 | 75 | 75 | 74 | 24 | 6,100,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 46 | 79 | 36 | 80 | 50 | 98 | 66 | 25 | 65 | 74 | 65 | 99 | 48 | 42 | 79 | 75 | 73 | 24 | 894,166$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 33 | 40 | 83 | 39 | 75 | 50 | 64 | 63 | 47 | 64 | 73 | 72 | 18 | 74 | 65 | 77 | 75 | 73 | 30 | 2,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 50 | 47 | 78 | 43 | 83 | 50 | 93 | 60 | 55 | 56 | 74 | 79 | 47 | 47 | 41 | 74 | 75 | 73 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 38 | 40 | 74 | 39 | 74 | 53 | 99 | 66 | 83 | 63 | 74 | 63 | 45 | 91 | 87 | 77 | 75 | 72 | 35 | 3,700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 87 | 40 | 82 | 36 | 79 | 50 | 64 | 65 | 74 | 65 | 78 | 61 | 76 | 48 | 42 | 79 | 75 | 72 | 25 | 1,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 46 | 40 | 78 | 41 | 70 | 50 | 91 | 64 | 63 | 60 | 74 | 72 | 45 | 66 | 63 | 75 | 75 | 72 | 30 | 4,800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 49 | 40 | 78 | 40 | 71 | 50 | 91 | 62 | 74 | 59 | 75 | 67 | 76 | 47 | 43 | 76 | 75 | 72 | 22 | 778,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 43 | 40 | 78 | 40 | 76 | 50 | 79 | 69 | 70 | 74 | 71 | 63 | 72 | 58 | 50 | 76 | 75 | 71 | 26 | 5,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 38 | 40 | 75 | 34 | 93 | 99 | 96 | 83 | 25 | 99 | 67 | 83 | 70 | 85 | 73 | 95 | 75 | 91 | 30 | 7,875,000$/5yrs | |||
![]() | 9 | D | 100.00 | 50 | 40 | 78 | 45 | 76 | 50 | 91 | 67 | 25 | 73 | 68 | 78 | 47 | 70 | 56 | 78 | 75 | 75 | 29 | 4,300,000$/3yrs | |||
![]() | 0 | D | 100.00 | 44 | 40 | 83 | 49 | 74 | 50 | 3 | 61 | 58 | 58 | 72 | 75 | 47 | 50 | 45 | 74 | 75 | 72 | 30 | 1,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 42 | 67 | 84 | 53 | 72 | 50 | 43 | 62 | 25 | 58 | 64 | 67 | 45 | 49 | 44 | 66 | 75 | 65 | 27 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 48 | 40 | 84 | 54 | 72 | 48 | 39 | 58 | 25 | 55 | 63 | 68 | 90 | 41 | 37 | 57 | 75 | 60 | 28 | 450,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 45 | 40 | 77 | 34 | 74 | 50 | 5 | 68 | 91 | 69 | 72 | 72 | 94 | 81 | 78 | 81 | 75 | 76 | 29 | 5,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 40 | 80 | 45 | 81 | 50 | 50 | 60 | 70 | 57 | 69 | 80 | 47 | 52 | 45 | 72 | 75 | 71 | 27 | 2,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 43 | 40 | 84 | 45 | 78 | 50 | 63 | 64 | 74 | 64 | 68 | 71 | 18 | 68 | 84 | 72 | 75 | 70 | 33 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 40 | 74 | 44 | 85 | 72 | 88 | 71 | 25 | 80 | 65 | 80 | 76 | 50 | 46 | 80 | 75 | 79 | 26 | 5,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 74 | 83 | 53 | 76 | 50 | 46 | 55 | 25 | 54 | 70 | 76 | 45 | 41 | 42 | 66 | 75 | 68 | 23 | 773,333$/2yrs | |||
TEAM AVERAGE | 100.00 | 50 | 45 | 79 | 42 | 77 | 56 | 71 | 65 | 54 | 65 | 71 | 72 | 60 | 60 | 56 | 76 | 75 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 47 | 95 | 88 | 82 | 91 | 83 | 82 | 82 | 84 | 85 | 50 | 47 | 81 | 75 | 84 | 27 | 750,000$/1yrs |
![]() | 0 | 100.00 | 81 | 99 | 88 | 95 | 82 | 93 | 81 | 81 | 82 | 81 | 64 | 43 | 42 | 78 | 75 | 80 | 22 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 77 | 44 | 65 | 79 | 75 | 82 | 76 | 75 | 75 | 75 | 68 | 48 | 42 | 44 | 75 | 49 | 34 | 450,000$/1yrs |
TEAM AVERAGE | 100.00 | 80 | 63 | 83 | 87 | 80 | 89 | 80 | 79 | 80 | 80 | 72 | 47 | 44 | 68 | 75 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Quenneville | 75 | 76 | 87 | 84 | 92 | 85 | 53 | CAN | 62 | 3 | 0$ |
General Manager | Mark Pagica |
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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 | 82,342,916$ |
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) | 57 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Meteors Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Salak | G | 34 | 450,000$ | 80,357$ | 450,000$ | UFA | ||||||
Brandon Saad | LW/RW | 28 | 5,000,000$ | 892,857$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Connor Carrick | D | 27 | 450,000$ | 80,357$ | 450,000$ | UFA | ||||||
Denis Guryanov | LW/RW | 24 | 894,166$ | 159,673$ | 894,166$ | RFA | ||||||
Dillon Dube | C/LW/RW | 22 | 778,333$ | 138,988$ | 778,333$ | 778,333$ | RFA | |||||
Dmitri Orlov | D | 29 | 4,300,000$ | 767,857$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||||
Dylan Larkin | C | 24 | 6,100,000$ | 1,089,286$ | 6,100,000$ | 6,100,000$ | RFA | |||||
Garnet Hathaway | LW/RW | 29 | 1,500,000$ | 267,857$ | 1,500,000$ | UFA | ||||||
Jake Oettinger | G | 22 | 925,000$ | 165,179$ | 925,000$ | 925,000$ | RFA | |||||
John Gilmour | D | 28 | 450,000$ | 80,357$ | 450,000$ | UFA | ||||||
Jonathan Drouin | LW | 26 | 5,500,000$ | 982,143$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Kyle Okposo | C/RW | 33 | 3,000,000$ | 535,714$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Kyle Palmieri | RW | 30 | 4,800,000$ | 857,143$ | 4,800,000$ | 4,800,000$ | UFA | |||||
Linus Ullmark | G | 27 | 750,000$ | 133,929$ | 750,000$ | UFA | ||||||
Marcus Johansson | C/LW | 30 | 2,250,000$ | 401,786$ | 2,250,000$ | UFA | ||||||
Michal Kempny | D | 30 | 1,250,000$ | 223,214$ | 1,250,000$ | UFA | ||||||
Oskar Sundqvist | C | 27 | 2,750,000$ | 491,071$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Patric Hornqvist | RW | 34 | 3,000,000$ | 535,714$ | 3,000,000$ | UFA | ||||||
Paul Stastny | C | 35 | 3,700,000$ | 660,714$ | 3,700,000$ | UFA | ||||||
Rasmus Ristolainen | D | 26 | 5,400,000$ | 964,286$ | 5,400,000$ | RFA | ||||||
Riley Stillman | D | 23 | 773,333$ | 138,095$ | 773,333$ | 773,333$ | RFA | |||||
Ryan Nugent-Hopkins | C/LW | 28 | 6,000,000$ | 1,071,429$ | 6,000,000$ | UFA | ||||||
Sammy Blais | LW/RW | 25 | 1,500,000$ | 267,857$ | 1,500,000$ | 1,500,000$ | RFA | |||||
Tyler Seguin | C/RW | 29 | 5,750,000$ | 1,026,786$ | 5,750,000$ | UFA | ||||||
Victor Hedman | D | 30 | 7,875,000$ | 1,406,250$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | ||
Zach Sanford | LW | 26 | 1,500,000$ | 267,857$ | 1,500,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aapeli Rasanen | C | 23 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Aarne Talvitie | C/LW | 22 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Aaro Vidgren | RW | 24 | 575,000$ | 10,268$ | 57,500$ | 57,500$ | RFA | |||||
Adam Helewka | C/LW | 25 | 625,000$ | 11,161$ | 62,500$ | 62,500$ | RFA | |||||
Adam Werner | G | 24 | 750,000$ | 13,393$ | 75,000$ | RFA | ||||||
Alexander Yelesin | D | 25 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Bobby Ryan | LW/RW | 34 | 3,625,000$ | 647,321$ | 3,625,000$ | UFA | ||||||
Brandon Duhaime | LW/RW | 24 | 925,000$ | 16,518$ | 92,500$ | RFA | ||||||
Christian Wolanin | D | 26 | 900,000$ | 16,071$ | 90,000$ | RFA | ||||||
Dennis Cholowski | D | 23 | 894,166$ | 15,967$ | 89,417$ | RFA | ||||||
Drew Helleson | D | 20 | 725,000$ | 12,946$ | 72,500$ | 72,500$ | RFA | |||||
Filip Kral | D | 21 | 810,000$ | 14,464$ | 81,000$ | 81,000$ | 81,000$ | RFA | ||||
Fredrik Claesson | D | 28 | 450,000$ | 8,036$ | 45,000$ | UFA | ||||||
Hunter Drew | D | 22 | 793,333$ | 14,167$ | 79,333$ | 79,333$ | 79,333$ | RFA | ||||
Jack LaFontaine | G | 23 | 600,000$ | 10,714$ | 60,000$ | 60,000$ | RFA | |||||
Jack McBain | C | 21 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Jay O'Brien | C | 21 | 875,000$ | 15,625$ | 87,500$ | RFA | ||||||
Julien Gauthier | RW | 23 | 863,333$ | 15,417$ | 86,333$ | 86,333$ | RFA | |||||
Karch Bachman | C/LW | 24 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Kirill Ustimenko | G | 22 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Matt Bartkowski | D | 33 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | UFA | |||||
Milan Gulas | RW | 35 | 1,316,666$ | 23,512$ | 131,667$ | UFA | ||||||
Nicklas Jensen | LW/RW | 28 | 750,000$ | 13,393$ | 75,000$ | UFA | ||||||
Nolan Foote | LW | 20 | 875,000$ | 15,625$ | 87,500$ | 87,500$ | RFA | |||||
Sean Durzi | D | 22 | 809,166$ | 14,449$ | 80,917$ | 80,917$ | RFA | |||||
Serron Noel | RW | 20 | 725,000$ | 12,946$ | 72,500$ | RFA | ||||||
Stanislav Demin | D | 21 | 450,000$ | 8,036$ | 45,000$ | RFA | ||||||
Steven Fogarty | C/RW | 28 | 450,000$ | 8,036$ | 45,000$ | 45,000$ | UFA | |||||
Stuart Skinner | G | 22 | 784,166$ | 14,003$ | 78,417$ | RFA | ||||||
Zack Kassian | RW | 30 | 800,000$ | 14,286$ | 80,000$ | 80,000$ | UFA | |||||
Zack MacEwen | RW | 24 | 825,000$ | 14,732$ | 82,500$ | 82,500$ | 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 |
80,270,832$ | 0$ | 0$ | 81,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Calgary | ||
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 |
80,270,832$ | 80,270,832$ | 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$ | 175,696,367$ | 175,696,367$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
---|---|---|---|---|---|
Ben Boyd | ![]() | 2021 | 172 | ||
Benjamin Baumgartner | ![]() | 2020 | 171 | ||
Brett Harrison | ![]() | 2021 | 88 | ||
Carter Mazur | ![]() | 2021 | 75 | ||
Isaac Belliveau | ![]() | 2021 | 161 | ||
Jack Quinn | ![]() | 2020 | 9 | ||
Jack Smith | ![]() | 2020 | 112 | ||
Jackson Blake | ![]() | 2021 | 116 | ||
Jake Sanderson | ![]() | 2020 | 5 | ||
Lukas Svejkovsky | ![]() | 2020 | 117 | ||
Manix Landry | ![]() | 2021 | 144 | ||
Nick Capone | ![]() | 2020 | 168 | ||
Ryder Korczak | ![]() | 2021 | 77 | ||
Sam Stange | ![]() | 2020 | 109 | ||
Thimo Nickl | ![]() | 2020 | 113 | ||
Xavier Bourgault | ![]() | 2021 | 21 |
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 |
---|---|---|---|---|---|
Ben Boyd | ![]() | 2021 | 172 | ||
Benjamin Baumgartner | ![]() | 2020 | 171 | ||
Brett Harrison | ![]() | 2021 | 88 | ||
Carter Mazur | ![]() | 2021 | 75 | ||
Isaac Belliveau | ![]() | 2021 | 161 | ||
Jack Quinn | ![]() | 2020 | 9 | ||
Jack Smith | ![]() | 2020 | 112 | ||
Jackson Blake | ![]() | 2021 | 116 | ||
Jake Sanderson | ![]() | 2020 | 5 | ||
Lukas Svejkovsky | ![]() | 2020 | 117 | ||
Manix Landry | ![]() | 2021 | 144 | ||
Nick Capone | ![]() | 2020 | 168 | ||
Ryder Korczak | ![]() | 2021 | 77 | ||
Sam Stange | ![]() | 2020 | 109 | ||
Thimo Nickl | ![]() | 2020 | 113 | ||
Xavier Bourgault | ![]() | 2021 | 21 |
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