Flames | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Markus | Morale : 99 | Team Overall : N/A |
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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 | C | L | R | D | CON | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Gustav Nyquist | X | 100.00 | 64 | 50 | 95 | 91 | 68 | 84 | 94 | 83 | 61 | 85 | 75 | 70 | 72 | 65 | 73 | 0 | 99 | 0 | 0 | 35 | 1 | 3,550,000$ | |||||
2 | Nick Suzuki | X | 100.00 | 68 | 50 | 91 | 89 | 79 | 88 | 95 | 83 | 91 | 81 | 80 | 74 | 85 | 53 | 60 | 0 | 99 | 0 | 0 | 25 | 1 | 4,600,000$ | |||||
3 | Frank Vatrano | X | X | 100.00 | 75 | 52 | 85 | 88 | 74 | 85 | 95 | 79 | 61 | 71 | 82 | 83 | 65 | 53 | 61 | 0 | 99 | 0 | 0 | 30 | 2 | 3,650,000$ | ||||
4 | Mark Scheifele | X | 100.00 | 68 | 56 | 88 | 91 | 79 | 87 | 92 | 84 | 87 | 85 | 77 | 69 | 66 | 62 | 71 | 0 | 99 | 0 | 0 | 31 | 2 | 6,407,100$ | |||||
5 | Travis Konecny | X | X | 100.00 | 71 | 52 | 87 | 90 | 72 | 86 | 93 | 82 | 64 | 78 | 81 | 79 | 67 | 58 | 61 | 0 | 99 | 0 | 0 | 27 | 3 | 6,350,000$ | ||||
6 | Erik Haula | X | X | 100.00 | 71 | 50 | 88 | 84 | 72 | 83 | 93 | 75 | 85 | 71 | 72 | 81 | 65 | 60 | 65 | 0 | 99 | 0 | 0 | 33 | 1 | 3,175,000$ | ||||
7 | Roope Hintz | X | 100.00 | 64 | 50 | 93 | 89 | 80 | 84 | 94 | 81 | 79 | 77 | 79 | 73 | 68 | 60 | 65 | 0 | 99 | 0 | 0 | 28 | 4 | 5,350,000$ | |||||
8 | Zach Whitecloud | X | 100.00 | 76 | 50 | 90 | 79 | 82 | 84 | 88 | 74 | 25 | 69 | 66 | 80 | 65 | 54 | 65 | 0 | 99 | 0 | 0 | 28 | 2 | 2,850,000$ | |||||
9 | Shea Theodore | X | 100.00 | 61 | 50 | 94 | 95 | 75 | 89 | 84 | 90 | 25 | 93 | 73 | 71 | 73 | 63 | 63 | 0 | 99 | 0 | 0 | 29 | 3 | 5,500,000$ | |||||
10 | Rasmus Dahlin | X | 100.00 | 79 | 50 | 87 | 93 | 78 | 92 | 94 | 87 | 25 | 81 | 80 | 80 | 65 | 51 | 59 | 0 | 99 | 0 | 0 | 24 | 1 | 4,750,000$ | |||||
11 | Ian Cole | X | 100.00 | 70 | 54 | 88 | 72 | 84 | 85 | 93 | 70 | 25 | 66 | 65 | 83 | 65 | 66 | 70 | 0 | 99 | 0 | 0 | 35 | 1 | 1,700,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Carl Grundstrom | X | X | 100.00 | 78 | 50 | 93 | 75 | 75 | 77 | 85 | 71 | 61 | 65 | 70 | 72 | 70 | 55 | 60 | 0 | 99 | 0 | 0 | 27 | 1 | 1,250,000$ | ||||
2 | Gabriel Vilardi | X | 100.00 | 62 | 50 | 93 | 88 | 82 | 84 | 84 | 80 | 64 | 71 | 82 | 67 | 65 | 53 | 60 | 0 | 99 | 0 | 0 | 25 | 1 | 3,600,000$ | |||||
3 | Jakob Pelletier | X | X | 100.00 | 67 | 50 | 94 | 76 | 64 | 76 | 79 | 71 | 62 | 68 | 67 | 67 | 65 | 52 | 60 | 0 | 99 | 0 | 0 | 23 | 2 | 1,000,000$ | ||||
4 | Mason Shaw | X | 100.00 | 72 | 62 | 78 | 69 | 69 | 75 | 78 | 70 | 65 | 66 | 66 | 69 | 65 | 58 | 63 | 0 | 99 | 0 | 0 | 26 | 1 | 950,000$ | |||||
5 | Conor Timmins | X | 100.00 | 72 | 50 | 88 | 86 | 78 | 83 | 77 | 78 | 25 | 76 | 67 | 72 | 65 | 53 | 60 | 0 | 99 | 0 | 0 | 26 | 1 | 1,750,000$ | |||||
6 | Rasmus Andersson | X | 100.00 | 65 | 52 | 89 | 88 | 76 | 90 | 93 | 82 | 25 | 77 | 73 | 81 | 66 | 62 | 66 | 0 | 99 | 0 | 0 | 28 | 3 | 5,500,000$ | |||||
7 | Jacob Bernard-Docker | X | 100.00 | 68 | 52 | 92 | 77 | 72 | 82 | 92 | 72 | 25 | 67 | 68 | 78 | 65 | 49 | 57 | 0 | 99 | 0 | 0 | 24 | 2 | 1,200,000$ | |||||
8 | Vladislav Gavrikov | X | 100.00 | 67 | 50 | 92 | 83 | 83 | 87 | 93 | 76 | 25 | 70 | 70 | 80 | 65 | 58 | 65 | 0 | 99 | 0 | 0 | 29 | 1 | 3,850,000$ | |||||
Farm Team | ||||||||||||||||||||||||||||||
1 | William Eklund | X | X | 100.00 | 64 | 50 | 92 | 87 | 69 | 85 | 94 | 76 | 64 | 74 | 72 | 72 | 71 | 40 | 55 | 0 | 99 | 0 | 0 | 22 | 1 | 1,500,000$ | ||||
2 | Anthony Romano | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 51 | 0 | 0 | 24 | 1 | 700,000$ | |||
3 | Joakim Kemell | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 84 | 0 | 0 | 20 | 2 | 1,500,000$ | ||||
4 | Jack Matier | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 85 | 0 | 0 | 21 | 1 | 825,000$ | |||||
5 | Henry Thrun | X | 100.00 | 65 | 50 | 92 | 80 | 73 | 86 | 91 | 73 | 25 | 68 | 68 | 77 | 66 | 40 | 55 | 0 | 99 | 0 | 0 | 23 | 1 | 975,000$ | |||||
6 | Tristan Luneau | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 46 | 0 | 0 | 20 | 2 | 1,250,000$ | |||||
7 | Mitchell Chaffee | X | X | 100.00 | 84 | 50 | 94 | 75 | 73 | 78 | 90 | 71 | 61 | 66 | 69 | 74 | 65 | 53 | 64 | 0 | 99 | 0 | 0 | 26 | 1 | 1,250,000$ | ||||
8 | Owen Sillinger | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 51 | 61 | 0 | 67 | 0 | 0 | 27 | 1 | 752,456$ | |||
9 | Mathieu De St.Phalle | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 47 | 61 | 0 | 60 | 0 | 0 | 24 | 1 | 716,625$ | |||
10 | Gabriel Fortier | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 54 | 62 | 0 | 86 | 0 | 0 | 24 | 2 | 1,378,125$ | |||
11 | Mavrik Bourque | X | 100.00 | 62 | 50 | 91 | 73 | 72 | 77 | 93 | 65 | 71 | 67 | 64 | 67 | 65 | 50 | 58 | 0 | 99 | 0 | 0 | 22 | 2 | 1,890,000$ | |||||
12 | Tristen Robins | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 53 | 57 | 0 | 85 | 0 | 0 | 23 | 1 | 1,312,500$ | ||||
13 | Sampo Ranta | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 49 | 57 | 0 | 84 | 0 | 0 | 24 | 1 | 1,023,750$ | ||||
14 | Travis Treloar | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 45 | 59 | 0 | 28 | 0 | 0 | 23 | 1 | 682,500$ | |||||
15 | Marian Studenic | X | X | 100.00 | 66 | 50 | 93 | 70 | 72 | 75 | 91 | 63 | 61 | 65 | 62 | 69 | 65 | 58 | 63 | 0 | 99 | 0 | 0 | 26 | 1 | 752,456$ | ||||
16 | Jakub Konecny | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 22 | 0 | 0 | 22 | 1 | 650,000$ | |||||
17 | Matthew Seminoff | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 52 | 0 | 0 | 21 | 2 | 700,000$ | ||||
18 | Matteo Giampa | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 21 | 2 | 650,000$ | ||||
19 | Jordan Gustafson (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 975,000$ | |||||
20 | Gavin Brindley (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 1,250,000$ | ||||
21 | Adam Fantilli (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 1,500,000$ | |||||
22 | Brandon Scanlin | X | 100.00 | 62 | 50 | 89 | 64 | 83 | 77 | 90 | 61 | 25 | 61 | 61 | 68 | 65 | 49 | 61 | 0 | 99 | 0 | 0 | 25 | 1 | 744,188$ | |||||
23 | Ryan Siedem | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 46 | 58 | 0 | 72 | 0 | 0 | 23 | 1 | 840,000$ | |||||
24 | Aleksi Heimosalmi | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 25 | 0 | 0 | 21 | 1 | 1,250,000$ | |||||
25 | Ronan Seeley | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 22 | 0 | 0 | 22 | 1 | 750,000$ | |||||
26 | Semyon Chystyakov | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 42 | 57 | 0 | 34 | 0 | 0 | 23 | 1 | 750,000$ | |||||
27 | Matias Rajaniemi (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 22 | 2 | 700,000$ | |||||
28 | Isaiah George (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 975,000$ | |||||
29 | Andrew Gibson (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 1,250,000$ | |||||
30 | Jacob Truscott (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 22 | 2 | 825,000$ | |||||
TEAM AVERAGE | 100.00 | 36 | 27 | 47 | 42 | 39 | 43 | 46 | 39 | 27 | 38 | 37 | 38 | 35 | 43 | 51 | 0 | 69 | 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 |
# | Goalie Name | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
Farm Team | ||||||||||||||||||||||||
1 | Joey Daccord | 100.00 | 78 | 86 | 85 | 81 | 80 | 82 | 83 | 82 | 87 | 84 | 87 | 55 | 64 | 0 | 99 | 0 | 0 | 28 | 1 | 1,800,000$ | ||
2 | Magnus Chrona | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 47 | 56 | 0 | 47 | 0 | 0 | 24 | 2 | 787,500$ | ||
3 | Jesper Myrenberg | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 49 | 56 | 0 | 56 | 0 | 0 | 24 | 1 | 682,500$ | ||
4 | Kari Piiroinen | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 46 | 59 | 0 | 51 | 0 | 0 | 23 | 1 | 682,500$ | ||
5 | Ilya Nabokov | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 21 | 2 | 650,000$ | ||
6 | Semyon Vyazovoi (R) | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 21 | 3 | 700,000$ | ||
TEAM AVERAGE | 100.00 | 14 | 15 | 15 | 14 | 14 | 15 | 15 | 15 | 15 | 15 | 15 | 33 | 40 | 0 | 43 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Huska | 79 | 84 | 82 | 88 | 64 | 69 | 1 | CAN | 49 | 2 | 1,000,000$ |
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 |
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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 |
# | 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 |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Carl Grundstrom | Flames | LW/RW | 27 | 1997-12-01 | SWE | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Conor Timmins | Flames | D | 26 | 1998-09-18 | CAN | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Erik Haula | Flames | LW/RW | 33 | 1991-03-23 | FIN | No | 191 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,175,000$ | 3,175,000$ | 3,175,000$ | 3,175,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Frank Vatrano | Flames | LW/RW | 30 | 1994-03-14 | USA | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | No | 3,650,000$ | - | - | - | - | - | - | - | - | 3,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Gabriel Vilardi | Flames | C | 25 | 1999-08-16 | CAN | No | 216 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Gustav Nyquist | Flames | C | 35 | 1989-09-01 | SWE | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,550,000$ | 3,550,000$ | 3,550,000$ | 3,550,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ian Cole | Flames | D | 35 | 1989-02-21 | USA | No | 225 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jacob Bernard-Docker | Flames | D | 24 | 2000-06-30 | CAN | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jakob Pelletier | Flames | LW/RW | 23 | 2001-03-07 | CAN | No | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mark Scheifele | Flames | C | 31 | 1993-03-15 | CAN | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 6,407,100$ | 6,407,100$ | 7,627,500$ | 7,627,500$ | No | 4,805,325$ | - | - | - | - | - | - | - | - | 7,627,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mason Shaw | Flames | C | 26 | 1998-11-03 | CAN | No | 184 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 950,000$ | 950,000$ | 950,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nick Suzuki | Flames | C | 25 | 1999-08-10 | CAN | No | 212 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Rasmus Andersson | Flames | D | 28 | 1996-10-27 | SWE | No | 202 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Rasmus Dahlin | Flames | D | 24 | 2000-04-13 | SWE | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Roope Hintz | Flames | C | 28 | 1996-11-17 | FIN | No | 212 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | No | 5,350,000$ | 5,350,000$ | 5,350,000$ | - | - | - | - | - | - | 5,350,000$ | 5,350,000$ | 5,350,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Shea Theodore | Flames | D | 29 | 1995-08-03 | CAN | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Travis Konecny | Flames | LW/RW | 27 | 1997-03-11 | CAN | No | 192 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 6,350,000$ | 6,350,000$ | 6,350,000$ | 6,350,000$ | No | 6,350,000$ | 6,350,000$ | - | - | - | - | - | - | - | 6,350,000$ | 6,350,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Vladislav Gavrikov | Flames | D | 29 | 1995-11-21 | RUS | No | 220 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Zach Whitecloud | Flames | D | 28 | 1996-11-28 | CAN | No | 218 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | No | 2,850,000$ | - | - | - | - | - | - | - | - | 2,850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
19 | 28.05 | 201 Lbs | 6 ft1 | 1.74 | 3,525,374$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
66,982,100$ | 36,205,325$ | 22,700,000$ | 5,350,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Travis Konecny | Nick Suzuki | Roope Hintz | 31 | 0 | 2 | 3 |
2 | Mark Scheifele | Frank Vatrano | 29 | 0 | 2 | 3 | |
3 | Erik Haula | Gustav Nyquist | 22 | 1 | 3 | 1 | |
4 | 18 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Shea Theodore | Rasmus Dahlin | 38 | 1 | 3 | 1 | |
2 | Ian Cole | 33 | 1 | 3 | 1 | ||
3 | Zach Whitecloud | 29 | 1 | 3 | 1 | ||
4 | Shea Theodore | Rasmus Dahlin | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Roope Hintz | Nick Suzuki | 50 | 1 | 0 | 4 | |
2 | Travis Konecny | Mark Scheifele | Frank Vatrano | 50 | 1 | 0 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Rasmus Dahlin | 50 | 0 | 1 | 4 | ||
2 | Shea Theodore | 50 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Suzuki | 55 | 0 | 4 | 1 | |
2 | Erik Haula | Gustav Nyquist | 45 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Rasmus Dahlin | Ian Cole | 50 | 1 | 4 | 0 |
2 | Zach Whitecloud | 50 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Suzuki | 50 | 0 | 5 | 0 | Rasmus Dahlin | Ian Cole | 50 | 1 | 4 | 0 |
2 | Erik Haula | 50 | 0 | 5 | 0 | Zach Whitecloud | 50 | 1 | 4 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Roope Hintz | 50 | 1 | 2 | 2 | |
2 | Frank Vatrano | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Shea Theodore | 50 | 1 | 2 | 2 | |
2 | Ian Cole | Zach Whitecloud | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Roope Hintz | Mark Scheifele | Travis Konecny | Shea Theodore | Rasmus Dahlin |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Erik Haula | Nick Suzuki | Ian Cole | Zach Whitecloud |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Travis Konecny, Gustav Nyquist | , Erik Haula | Gustav Nyquist |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Rasmus Dahlin, Shea Theodore, Zach Whitecloud | Zach Whitecloud | Zach Whitecloud, Shea Theodore |
Penalty Shots |
---|
Nick Suzuki, , Roope Hintz, Shea Theodore, Gustav Nyquist |
Goalie |
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#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 ) |
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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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 0 | 0 | 0% |
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 | Level 3 | Level 4 | Luxury | |
Capacity | 6250 | 5250 | 2600 | 4200 | 1200 |
Ticket Price | 85 | 50 | 26 | 14 | 188 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 19500 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 66,982,100$ | 68,202,500$ | 1,000,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 19 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 74,207,015$ | 74,207,015$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,000,000$ | 82,000,000$ | -52,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Alexander Hellnemo | Flames | 0 | 0 | |||
Aram Minnetian | Flames | 0 | 0 | |||
Arvid Costmar | Flames | 0 | 0 | |||
Axel Bergkvist | Flames | 0 | 0 | |||
Christian Humphreys | Flames | 0 | 0 | |||
Colton Roberts | Flames | 0 | 0 | |||
Darels Uljanskis | Flames | 0 | 0 | |||
Isak Walther | Flames | 0 | 0 | |||
Jake Richard | Flames | 0 | 0 | |||
Jakub Fibigr | Flames | 0 | 0 | |||
Jayden Perron | Flames | 0 | 0 | |||
Jonathan Tychonick | Flames | 0 | 0 | |||
Justin Poirier | Flames | 0 | 0 | |||
Kaden Hammell | Flames | 0 | 0 | |||
Leevi Aaltonen | Flames | 0 | 0 | |||
Lenni Killinen | Flames | 0 | 0 | |||
Liam Greentree | Flames | 0 | 0 | |||
Lucas Forsell | Flames | 0 | 0 | |||
Ludvig Jansson | Flames | 0 | 0 | |||
Maxim Masse | Flames | 0 | 0 | |||
Patrick Moynihan | Flames | 0 | 0 | |||
Stephen Peck | Flames | 0 | 0 | |||
Zachary Schulz | Flames | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | CGY | CGY | CGY | CGY | CGY | CGY | CGY |
2025 | CGY | CGY | CGY | CGY | CGY | CGY | CGY |
2026 | CGY | CGY | CGY | CGY | CGY | CGY | CGY |
2027 | CGY | CGY | CGY | CGY | CGY | CGY | CGY |
2028 | CGY | CGY | CGY | CGY | CGY | CGY | CGY |
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|