Heat | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Steve Landry | Morale : 40 | Team Overall : 64 |
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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Bryan Rust (R) | X | 100.00 | 68 | 25 | 86 | 72 | 77 | 87 | 77 | 72 | 74 | 74 | 74 | 74 | 67 | 62 | 51 | 43 | 40 | 72 | 0 | 24 | 1 | 995,000$ | ||||
2 | Matthew Nieto (R) | X | 100.00 | 71 | 27 | 78 | 72 | 75 | 79 | 77 | 72 | 75 | 80 | 72 | 63 | 69 | 62 | 58 | 42 | 40 | 71 | 0 | 24 | 1 | 900,000$ | ||||
3 | Jake DeBrusk (R) | X | 100.00 | 75 | 52 | 80 | 73 | 76 | 75 | 73 | 70 | 67 | 73 | 76 | 65 | 69 | 48 | 44 | 66 | 40 | 70 | 0 | 20 | 1 | 500,000$ | ||||
4 | Kevin Labanc (R) | X | 100.00 | 59 | 27 | 78 | 86 | 72 | 70 | 72 | 79 | 70 | 71 | 70 | 65 | 82 | 52 | 46 | 59 | 40 | 70 | 0 | 20 | 4 | 950,000$ | ||||
5 | Evgeny Svechnikov (R) | X | 100.00 | 67 | 32 | 84 | 64 | 87 | 74 | 75 | 69 | 76 | 68 | 87 | 48 | 68 | 47 | 45 | 64 | 40 | 69 | 0 | 20 | 1 | 500,000$ | ||||
6 | Philip Varone (R) | X | 100.00 | 69 | 24 | 67 | 70 | 74 | 73 | 76 | 74 | 77 | 74 | 71 | 59 | 65 | 68 | 63 | 32 | 40 | 69 | 0 | 26 | 2 | 900,000$ | ||||
7 | Victor Rask (R) | X | 100.00 | 69 | 33 | 77 | 71 | 77 | 71 | 73 | 71 | 75 | 69 | 77 | 61 | 74 | 54 | 47 | 48 | 40 | 69 | 0 | 23 | 1 | 950,000$ | ||||
8 | Ryan Spooner (R) | X | 100.00 | 62 | 31 | 74 | 71 | 72 | 71 | 71 | 67 | 74 | 77 | 68 | 58 | 64 | 50 | 47 | 40 | 40 | 67 | 0 | 24 | 2 | 800,000$ | ||||
9 | Nico Sturm (R) | X | 100.00 | 61 | 29 | 86 | 68 | 73 | 77 | 74 | 61 | 69 | 72 | 53 | 70 | 65 | 44 | 47 | 54 | 40 | 66 | 0 | 21 | 2 | 500,000$ | ||||
10 | Barclay Goodrow (R) | X | 100.00 | 74 | 29 | 71 | 71 | 66 | 67 | 66 | 65 | 62 | 66 | 68 | 67 | 61 | 45 | 47 | 42 | 40 | 65 | 0 | 23 | 2 | 800,000$ | ||||
11 | Peter Cehlarik (R) | X | 100.00 | 64 | 45 | 78 | 68 | 64 | 69 | 68 | 69 | 73 | 71 | 67 | 56 | 67 | 44 | 44 | 57 | 40 | 65 | 0 | 21 | 1 | 750,000$ | ||||
12 | Chris Brown (R) | X | 100.00 | 61 | 41 | 79 | 71 | 69 | 68 | 72 | 63 | 59 | 55 | 80 | 51 | 68 | 49 | 49 | 33 | 40 | 64 | 0 | 25 | 1 | 700,000$ | ||||
13 | Tyler Shattock (R) | X | 100.00 | 60 | 32 | 62 | 65 | 63 | 68 | 63 | 68 | 62 | 59 | 71 | 60 | 61 | 58 | 56 | 29 | 40 | 63 | 0 | 26 | 1 | 650,000$ | ||||
14 | Mathieu Brodeur (R) | X | 100.00 | 70 | 28 | 83 | 66 | 70 | 75 | 75 | 70 | 45 | 68 | 58 | 75 | 56 | 62 | 51 | 28 | 40 | 69 | 0 | 26 | 1 | 850,000$ | ||||
15 | Greg Pateryn (R) | X | 100.00 | 72 | 37 | 63 | 71 | 72 | 77 | 65 | 65 | 56 | 71 | 64 | 73 | 58 | 61 | 51 | 30 | 40 | 68 | 0 | 26 | 1 | 800,000$ | ||||
16 | Rasmus Andersson (R) | X | 100.00 | 65 | 36 | 79 | 78 | 56 | 61 | 67 | 78 | 36 | 76 | 61 | 68 | 49 | 44 | 45 | 67 | 40 | 67 | 0 | 20 | 1 | 500,000$ | ||||
17 | Frank Corrado (R) | X | 100.00 | 67 | 40 | 73 | 68 | 72 | 73 | 72 | 70 | 54 | 67 | 55 | 68 | 56 | 47 | 47 | 43 | 40 | 66 | 0 | 23 | 1 | 650,000$ | ||||
18 | John Gilmour (R) | X | 100.00 | 70 | 32 | 75 | 62 | 59 | 73 | 64 | 72 | 47 | 70 | 56 | 62 | 54 | 45 | 46 | 37 | 40 | 64 | 0 | 23 | 1 | 600,000$ | ||||
19 | Trevor Carrick (R) | X | 100.00 | 58 | 38 | 72 | 77 | 61 | 66 | 73 | 72 | 36 | 72 | 52 | 65 | 37 | 44 | 44 | 38 | 40 | 64 | 0 | 22 | 2 | 575,000$ | ||||
20 | Petteri Lindbohm (R) | X | 100.00 | 56 | 39 | 74 | 59 | 62 | 64 | 67 | 70 | 42 | 65 | 69 | 64 | 53 | 45 | 49 | 40 | 40 | 63 | 0 | 23 | 2 | 575,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Eric Karlsson (R) | X | 100.00 | 79 | 33 | 69 | 63 | 76 | 64 | 69 | 62 | 59 | 62 | 69 | 56 | 53 | 44 | 44 | 45 | 40 | 62 | 0 | 22 | 1 | 550,000$ | ||||
2 | Ryan Donato (R) | X | 100.00 | 70 | 34 | 71 | 60 | 75 | 63 | 67 | 62 | 69 | 63 | 72 | 44 | 63 | 42 | 42 | 61 | 40 | 62 | 0 | 20 | 2 | 600,000$ | ||||
3 | Jesper Bratt (R) | X | 100.00 | 56 | 47 | 66 | 65 | 59 | 68 | 64 | 65 | 67 | 64 | 62 | 50 | 67 | 40 | 40 | 79 | 40 | 60 | 0 | 18 | 2 | 500,000$ | ||||
4 | Vladislav Kamenev (R) | X | 100.00 | 67 | 27 | 70 | 46 | 69 | 63 | 65 | 64 | 56 | 54 | 71 | 54 | 70 | 42 | 42 | 62 | 40 | 59 | 0 | 20 | 2 | 600,000$ | ||||
5 | Tage Thompson (R) | X | 100.00 | 54 | 29 | 82 | 65 | 61 | 74 | 61 | 47 | 61 | 67 | 48 | 57 | 56 | 43 | 42 | 73 | 40 | 57 | 0 | 19 | 2 | 500,000$ | ||||
6 | Radim Zohorna (R) | X | 100.00 | 54 | 36 | 72 | 54 | 65 | 69 | 57 | 56 | 51 | 53 | 66 | 40 | 52 | 45 | 43 | 62 | 40 | 56 | 0 | 20 | 2 | 500,000$ | ||||
7 | Alexander True (R) | X | 100.00 | 59 | 39 | 60 | 54 | 61 | 50 | 64 | 56 | 53 | 53 | 50 | 43 | 53 | 41 | 41 | 54 | 40 | 52 | 0 | 19 | 1 | 500,000$ | ||||
8 | Dominik Masin (R) | X | 100.00 | 61 | 31 | 82 | 61 | 64 | 58 | 65 | 46 | 23 | 54 | 35 | 72 | 43 | 42 | 42 | 59 | 40 | 60 | 0 | 20 | 1 | 500,000$ | ||||
9 | Brandon Hickey (R) | X | 100.00 | 59 | 26 | 79 | 56 | 58 | 58 | 59 | 48 | 32 | 63 | 40 | 72 | 47 | 42 | 42 | 48 | 40 | 59 | 0 | 20 | 3 | 600,000$ | ||||
10 | Christian Jaros (R) | X | 100.00 | 62 | 28 | 72 | 59 | 57 | 57 | 54 | 57 | 29 | 64 | 42 | 68 | 48 | 42 | 43 | 54 | 40 | 59 | 0 | 20 | 1 | 500,000$ | ||||
TEAM AVERAGE | 100.00 | 65 | 34 | 75 | 66 | 68 | 69 | 68 | 65 | 58 | 67 | 63 | 61 | 60 | 48 | 47 | 50 | 40 | 64 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Hutchinson | 100.00 | 69 | 77 | 71 | 72 | 75 | 74 | 72 | 77 | 76 | 70 | 70 | 59 | 58 | 29 | 40 | 73 | 0 | |
Scratches | ||||||||||||||||||||
1 | Nathan Lieuwen | 100.00 | 65 | 65 | 65 | 60 | 60 | 68 | 61 | 66 | 69 | 60 | 63 | 60 | 58 | 31 | 40 | 64 | 0 | |
2 | Vitek Vanecek | 100.00 | 60 | 66 | 67 | 53 | 55 | 69 | 75 | 48 | 53 | 72 | 59 | 42 | 42 | 56 | 40 | 60 | 0 | |
3 | Collin Delia (R) | 100.00 | 70 | 49 | 61 | 68 | 66 | 52 | 47 | 54 | 59 | 51 | 64 | 40 | 40 | 70 | 40 | 56 | 0 | |
TEAM AVERAGE | 100.00 | 66 | 64 | 66 | 63 | 64 | 66 | 64 | 61 | 64 | 63 | 64 | 50 | 50 | 47 | 40 | 63 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 77 | 70 | 68 | 70 | 49 | 50 | 64 | USA | 42 | 1 | 800,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | 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 |
# | 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 |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander True | Heat (Cal) | C | 19 | 1997-01-01 | Yes | 200 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Barclay Goodrow | Heat (Cal) | RW | 23 | 1993-01-01 | Yes | 215 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 850,000$ | |||||||||
Brandon Hickey | Heat (Cal) | D | 20 | 1996-01-01 | Yes | 201 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | ||||||||
Bryan Rust | Heat (Cal) | RW | 24 | 1992-01-01 | Yes | 192 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 995,000$ | 995,000$ | 0$ | 0$ | No | ||||||||||
Chris Brown | Heat (Cal) | C | 25 | 1991-01-01 | Yes | 215 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | ||||||||||
Christian Jaros | Heat (Cal) | D | 20 | 1996-01-01 | Yes | 222 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Collin Delia | Heat (Cal) | G | 22 | 1994-01-01 | Yes | 207 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Dominik Masin | Heat (Cal) | D | 20 | 1996-01-01 | Yes | 196 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Eric Karlsson | Heat (Cal) | LW | 22 | 1994-01-01 | Yes | 161 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | ||||||||||
Evgeny Svechnikov | Heat (Cal) | RW | 20 | 1996-01-01 | Yes | 208 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Frank Corrado | Heat (Cal) | D | 23 | 1993-01-01 | Yes | 195 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | ||||||||||
Greg Pateryn | Heat (Cal) | D | 26 | 1990-01-01 | Yes | 214 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | ||||||||||
Jake DeBrusk | Heat (Cal) | LW | 20 | 1996-01-01 | Yes | 188 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Jesper Bratt | Heat (Cal) | LW | 18 | 1998-01-01 | Yes | 185 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
John Gilmour | Heat (Cal) | D | 23 | 1993-01-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Kevin Labanc | Heat (Cal) | RW | 20 | 1996-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 1,200,000$ | 1,900,000$ | 2,800,000$ | |||||||
Mathieu Brodeur | Heat (Cal) | D | 26 | 1990-01-01 | Yes | 215 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | ||||||||||
Matthew Nieto | Heat (Cal) | LW | 24 | 1992-01-01 | Yes | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | ||||||||||
Michael Hutchinson | Heat (Cal) | G | 26 | 1990-01-01 | No | 202 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | 975,000$ | |||||||||
Nathan Lieuwen | Heat (Cal) | G | 25 | 1991-01-01 | No | 189 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | |||||||||
Nico Sturm | Heat (Cal) | C | 21 | 1995-01-01 | Yes | 207 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Peter Cehlarik | Heat (Cal) | LW | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | ||||||||||
Petteri Lindbohm | Heat (Cal) | D | 23 | 1993-01-01 | Yes | 209 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 575,000$ | 575,000$ | 0$ | 0$ | No | 600,000$ | |||||||||
Philip Varone | Heat (Cal) | C | 26 | 1990-01-01 | Yes | 185 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | |||||||||
Radim Zohorna | Heat (Cal) | LW | 20 | 1996-01-01 | Yes | 229 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Rasmus Andersson | Heat (Cal) | D | 20 | 1996-01-01 | Yes | 214 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Ryan Donato | Heat (Cal) | C | 20 | 1996-01-01 | Yes | 193 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | |||||||||
Ryan Spooner | Heat (Cal) | C | 24 | 1992-01-01 | Yes | 181 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 850,000$ | |||||||||
Tage Thompson | Heat (Cal) | RW | 19 | 1997-01-01 | Yes | 218 Lbs | 6 ft7 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Trevor Carrick | Heat (Cal) | D | 22 | 1994-01-01 | Yes | 171 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 575,000$ | 575,000$ | 0$ | 0$ | No | 600,000$ | |||||||||
Tyler Shattock | Heat (Cal) | RW | 26 | 1990-01-01 | Yes | 205 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | ||||||||||
Victor Rask | Heat (Cal) | C | 23 | 1993-01-01 | Yes | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | ||||||||||
Vitek Vanecek | Heat (Cal) | G | 20 | 1996-01-01 | No | 190 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | ||||||||
Vladislav Kamenev | Heat (Cal) | C | 20 | 1996-01-01 | Yes | 194 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
34 | 22.09 | 198 Lbs | 6 ft2 | 1.62 | 663,824$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : , #2 : |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 2,257,000$ | 1,565,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |