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Denver Avalanche Team Overall:72 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 6' 0" | 215 | 28 | 70 | 40 | 87 | 79 | 89 | 85 | 89 | 75 | 89 | 79 | 82 | 72 | 66 | 75 | 75 | 0 | 40 | 81 | 100.00 | 5,500,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 196 | 28 | 74 | 40 | 81 | 78 | 77 | 82 | 84 | 80 | 47 | 87 | 80 | 74 | 79 | 68 | 59 | 0 | 40 | 81 | 100.00 | 3,250,000$/1yrs | |
0 | ![]() | C | 5' 11" | 200 | 38 | 75 | 40 | 92 | 71 | 82 | 78 | 93 | 77 | 80 | 84 | 74 | 71 | 64 | 95 | 81 | 0 | 40 | 80 | 100.00 | 7,000,000$/1yrs | |
0 | ![]() | C | 6' 2" | 193 | 27 | 73 | 40 | 90 | 79 | 74 | 83 | 93 | 74 | 75 | 82 | 75 | 78 | 74 | 74 | 65 | 0 | 40 | 80 | 100.00 | 3,650,000$/1yrs | |
0 | ![]() | RW | 6' 4" | 210 | 28 | 75 | 40 | 95 | 81 | 80 | 84 | 80 | 75 | 52 | 84 | 72 | 75 | 92 | 69 | 59 | 0 | 40 | 80 | 100.00 | 850,000$/1yrs | |
0 | ![]() | C | 6' 2" | 203 | 29 | 79 | 64 | 78 | 72 | 79 | 84 | 84 | 70 | 85 | 76 | 77 | 72 | 57 | 76 | 75 | 0 | 40 | 78 | 100.00 | 3,750,000$/1yrs | |
0 | ![]() | C | 5' 11" | 184 | 29 | 79 | 66 | 77 | 80 | 73 | 82 | 94 | 73 | 87 | 83 | 70 | 71 | 59 | 75 | 67 | 0 | 40 | 78 | 100.00 | 4,750,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 189 | 31 | 79 | 66 | 85 | 69 | 75 | 69 | 85 | 64 | 52 | 75 | 68 | 81 | 54 | 67 | 59 | 0 | 40 | 74 | 100.00 | 3,500,000$/1yrs | |
0 | ![]() | C | 6' 2" | 200 | 27 | 72 | 40 | 83 | 73 | 78 | 73 | 89 | 63 | 73 | 76 | 63 | 79 | 54 | 66 | 59 | 0 | 40 | 73 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 192 | 27 | 77 | 64 | 66 | 67 | 76 | 73 | 90 | 68 | 53 | 78 | 72 | 64 | 85 | 60 | 58 | 0 | 40 | 73 | 100.00 | 737,500$/1yrs | |
0 | ![]() | C | 6' 2" | 213 | 30 | 82 | 40 | 74 | 65 | 85 | 71 | 89 | 61 | 78 | 71 | 66 | 79 | 54 | 68 | 64 | 0 | 40 | 73 | 100.00 | 2,500,000$/3yrs | |
0 | ![]() | C | 6' 2" | 204 | 30 | 75 | 73 | 84 | 66 | 80 | 69 | 93 | 63 | 70 | 75 | 65 | 72 | 54 | 70 | 66 | 0 | 40 | 72 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 207 | 32 | 63 | 40 | 82 | 65 | 83 | 72 | 86 | 62 | 58 | 73 | 63 | 82 | 60 | 78 | 68 | 0 | 40 | 72 | 100.00 | 5,250,000$/1yrs | |
0 | ![]() | RW | 6' 3" | 198 | 25 | 75 | 40 | 88 | 66 | 75 | 75 | 86 | 65 | 57 | 73 | 70 | 71 | 54 | 59 | 58 | 0 | 40 | 72 | 100.00 | 894,166$/1yrs | |
0 | ![]() | C | 6' 1" | 195 | 22 | 78 | 66 | 79 | 70 | 76 | 69 | 81 | 62 | 74 | 75 | 63 | 77 | 54 | 58 | 58 | 0 | 40 | 72 | 100.00 | 1,400,833$/2yrs | |
0 | ![]() | RW | 5' 11" | 189 | 34 | 66 | 40 | 86 | 70 | 76 | 70 | 88 | 65 | 53 | 79 | 63 | 68 | 56 | 70 | 59 | 0 | 40 | 71 | 100.00 | 5,000,000$/2yrs | |
0 | ![]() | RW | 6' 0" | 175 | 26 | 78 | 64 | 82 | 66 | 67 | 69 | 91 | 62 | 52 | 74 | 63 | 80 | 54 | 61 | 58 | 0 | 40 | 71 | 100.00 | 846,875$/3yrs | |
0 | ![]() | C | 6' 2" | 190 | 25 | 78 | 68 | 87 | 72 | 72 | 64 | 92 | 62 | 91 | 76 | 60 | 74 | 54 | 62 | 58 | 0 | 40 | 71 | 100.00 | 1,363,333$/1yrs | |
0 | ![]() | RW | 6' 4" | 205 | 25 | 82 | 72 | 83 | 63 | 78 | 65 | 78 | 61 | 55 | 74 | 64 | 77 | 54 | 59 | 58 | 0 | 40 | 71 | 100.00 | 845,000$/3yrs | |
0 | ![]() | C | 5' 11" | 192 | 29 | 74 | 66 | 83 | 71 | 78 | 61 | 90 | 62 | 73 | 75 | 64 | 65 | 58 | 71 | 59 | 0 | 40 | 70 | 100.00 | 1,500,000$/1yrs | |
0 | ![]() | C | 5' 10" | 183 | 23 | 73 | 66 | 86 | 65 | 74 | 61 | 82 | 59 | 69 | 72 | 61 | 78 | 54 | 58 | 58 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 195 | 23 | 64 | 44 | 84 | 63 | 73 | 62 | 68 | 62 | 55 | 70 | 62 | 66 | 55 | 59 | 57 | 0 | 40 | 67 | 100.00 | 1,633,333$/1yrs | |
0 | ![]() | LW | 6' 1" | 201 | 30 | 71 | 72 | 60 | 65 | 80 | 67 | 69 | 57 | 55 | 77 | 58 | 64 | 56 | 73 | 60 | 0 | 40 | 67 | 100.00 | 3,750,000$/1yrs | |
0 | ![]() | C | 5' 11" | 188 | 27 | 55 | 60 | 66 | 62 | 61 | 67 | 65 | 64 | 55 | 62 | 61 | 60 | 59 | 64 | 58 | 0 | 40 | 64 | 100.00 | 925,000$/1yrs | |
0 | ![]() | C | 5' 8" | 161 | 31 | 55 | 54 | 65 | 60 | 53 | 68 | 66 | 67 | 70 | 68 | 57 | 57 | 54 | 71 | 62 | 0 | 40 | 64 | 100.00 | 775,000$/1yrs | |
0 | ![]() | C | 6' 1" | 180 | 23 | 56 | 55 | 70 | 58 | 62 | 67 | 63 | 61 | 67 | 62 | 59 | 60 | 55 | 58 | 56 | 0 | 40 | 62 | 100.00 | 925,000$/2yrs | |
0 | ![]() | LW | 6' 3" | 200 | 25 | 60 | 55 | 69 | 57 | 67 | 63 | 60 | 55 | 54 | 58 | 57 | 61 | 54 | 59 | 56 | 0 | 40 | 61 | 100.00 | 773,333$/1yrs | |
0 | ![]() | C | 6' 0" | 177 | 24 | 55 | 57 | 65 | 59 | 65 | 66 | 64 | 58 | 55 | 57 | 58 | 57 | 57 | 60 | 56 | 0 | 40 | 61 | 100.00 | 1,350,000$/1yrs | |
0 | ![]() | C | 6' 1" | 179 | 26 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 40 | 56 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 2" | 215 | 31 | 63 | 40 | 88 | 80 | 86 | 94 | 91 | 68 | 40 | 81 | 63 | 84 | 58 | 83 | 69 | 0 | 40 | 79 | 100.00 | 6,500,000$/1yrs | |
0 | ![]() | D | 6' 1" | 205 | 32 | 73 | 40 | 87 | 82 | 82 | 85 | 92 | 63 | 40 | 78 | 61 | 90 | 54 | 70 | 59 | 0 | 40 | 78 | 100.00 | 2,500,000$/2yrs | |
0 | ![]() | D | 6' 3" | 220 | 28 | 74 | 40 | 90 | 72 | 87 | 83 | 93 | 61 | 40 | 74 | 63 | 95 | 54 | 71 | 67 | 0 | 40 | 77 | 100.00 | 5,800,000$/1yrs | |
0 | ![]() | D | 6' 3" | 203 | 29 | 80 | 71 | 80 | 74 | 78 | 86 | 93 | 63 | 40 | 76 | 62 | 85 | 54 | 76 | 69 | 0 | 40 | 76 | 100.00 | 8,000,000$/1yrs | |
0 | ![]() | D | 6' 5" | 220 | 30 | 77 | 64 | 74 | 69 | 84 | 86 | 90 | 61 | 40 | 74 | 61 | 91 | 54 | 68 | 65 | 0 | 40 | 76 | 100.00 | 1,450,000$/1yrs | |
0 | ![]() | D | 6' 4" | 215 | 32 | 84 | 66 | 84 | 68 | 83 | 83 | 92 | 59 | 40 | 74 | 58 | 91 | 54 | 76 | 60 | 0 | 40 | 75 | 100.00 | 2,500,000$/1yrs | |
0 | ![]() | D | 6' 1" | 173 | 22 | 67 | 64 | 83 | 80 | 65 | 86 | 84 | 63 | 40 | 75 | 61 | 89 | 54 | 58 | 58 | 0 | 40 | 75 | 100.00 | 925,000$/3yrs | |
0 | ![]() | D | 6' 2" | 218 | 26 | 73 | 40 | 78 | 70 | 87 | 84 | 89 | 60 | 40 | 74 | 60 | 87 | 54 | 62 | 58 | 0 | 40 | 74 | 100.00 | 888,333$/1yrs | |
0 | ![]() | D | 6' 2" | 207 | 26 | 73 | 65 | 81 | 84 | 81 | 76 | 83 | 59 | 40 | 71 | 62 | 84 | 54 | 60 | 58 | 0 | 40 | 74 | 100.00 | 1,491,667$/1yrs | |
0 | ![]() | D | 6' 2" | 210 | 28 | 78 | 40 | 74 | 60 | 83 | 72 | 75 | 57 | 40 | 72 | 59 | 82 | 54 | 65 | 59 | 0 | 40 | 71 | 100.00 | 1,150,000$/1yrs | |
0 | ![]() | D | 6' 1" | 196 | 25 | 70 | 74 | 84 | 67 | 77 | 70 | 75 | 58 | 40 | 72 | 58 | 80 | 54 | 59 | 58 | 0 | 40 | 70 | 100.00 | 900,000$/1yrs | |
0 | ![]() | D | 6' 5" | 233 | 29 | 75 | 78 | 74 | 63 | 90 | 55 | 74 | 56 | 40 | 71 | 57 | 80 | 54 | 61 | 58 | 0 | 40 | 68 | 100.00 | 808,333$/2yrs | |
0 | ![]() | D | 5' 11" | 183 | 21 | 64 | 40 | 77 | 77 | 73 | 78 | 69 | 50 | 40 | 67 | 53 | 73 | 54 | 58 | 58 | 0 | 40 | 67 | 100.00 | 1,775,000$/3yrs | |
0 | ![]() | D | 6' 0" | 205 | 22 | 56 | 55 | 61 | 59 | 65 | 67 | 66 | 57 | 40 | 57 | 57 | 62 | 57 | 57 | 54 | 0 | 40 | 61 | 100.00 | 1,044,167$/2yrs | |
0 | ![]() | D | 6' 1" | 193 | 21 | 55 | 54 | 65 | 59 | 66 | 68 | 66 | 57 | 40 | 57 | 55 | 62 | 54 | 55 | 53 | 0 | 40 | 61 | 100.00 | 905,000$/3yrs |
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 | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 5" | 220 | 24 | 90 | 97 | 98 | 80 | 92 | 90 | 62 | 58 | 0 | 40 | 87 | 100.00 | 1,387,500$/1yrs | |||||||
0 | ![]() | 6' 2" | 184 | 24 | 91 | 82 | 80 | 72 | 93 | 89 | 58 | 55 | 0 | 40 | 84 | 100.00 | 910,833$/1yrs | |||||||
0 | ![]() | 6' 4" | 224 | 26 | 71 | 89 | 89 | 69 | 85 | 86 | 60 | 55 | 0 | 40 | 80 | 100.00 | 925,000$/2yrs | |||||||
0 | ![]() | 6' 1" | 188 | 31 | 79 | 79 | 80 | 72 | 81 | 76 | 70 | 64 | 0 | 40 | 77 | 100.00 | 3,333,333$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 81 | 85 | 89 | 82 | 91 | 84 | 55 | CAN | 62 | 1 | 525,000$ |
General Manager | Evans Lapointe |
---|
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 | AMG | PPG | PPA | PPP | PPM | 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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 48 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Barclay Goodrow ![]() | C | 30 | 925,000$ | 925,000$ | |||||||
Beck Malenstyn ![]() | LW | 25 | 773,333$ | 773,333$ | |||||||
Bo Horvat ![]() | C | 28 | 5,500,000$ | 5,500,000$ | |||||||
Boone Jenner ![]() | C | 29 | 3,750,000$ | 3,750,000$ | |||||||
Brandon Tanev ![]() | LW | 31 | 3,500,000$ | 3,500,000$ | |||||||
Brayden McNabb ![]() | D | 32 | 2,500,000$ | 2,500,000$ | |||||||
Cam Fowler ![]() | D | 31 | 6,500,000$ | 6,500,000$ | |||||||
Connor Dewar ![]() | C | 23 | 925,000$ | 925,000$ | |||||||
Emil Bemstrom ![]() | RW | 23 | 1,633,333$ | 1,633,333$ | |||||||
Esa Lindell ![]() | D | 28 | 5,800,000$ | 5,800,000$ | |||||||
Evgenii Dadonov ![]() | RW | 34 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Filip Gustavsson ![]() | D | 24 | 910,833$ | 910,833$ | |||||||
J.J. Moser ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jacob Peterson ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Jacob Trouba ![]() | D | 29 | 8,000,000$ | 8,000,000$ | |||||||
Jake Oettinger ![]() | C | 24 | 1,387,500$ | 1,387,500$ | |||||||
Jakob Silfverberg ![]() | RW | 32 | 5,250,000$ | 5,250,000$ | |||||||
Jamie Drysdale ![]() | D | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | |||||
Jason Dickinson ![]() | C | 27 | 1,500,000$ | 1,500,000$ | |||||||
Jett Woo ![]() | D | 22 | 1,044,167$ | 1,044,167$ | 1,044,167$ | ||||||
Joe Pavelski ![]() | C | 38 | 7,000,000$ | 7,000,000$ | |||||||
Jonas Siegenthaler ![]() | D | 26 | 888,333$ | 888,333$ | |||||||
Karel Vejmelka ![]() | D | 26 | 925,000$ | 925,000$ | 925,000$ | ||||||
Kurtis MacDermid ![]() | D | 29 | 875,000$ | 875,000$ | 875,000$ | ||||||
Logan O'Connor ![]() | RW | 26 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Matthew Highmore ![]() | C | 27 | 925,000$ | 925,000$ | |||||||
Michael Bunting ![]() | LW | 27 | 737,500$ | 737,500$ | |||||||
Michael McLeod ![]() | C | 25 | 1,363,333$ | 1,363,333$ | |||||||
Nathan Bastian ![]() | RW | 25 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Nathan Smith ![]() | C | 24 | 1,350,000$ | 1,350,000$ | |||||||
Nick Cousins ![]() | C | 29 | 1,500,000$ | 1,500,000$ | |||||||
Nick Jensen ![]() | D | 32 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Pavel Buchnevich ![]() | LW | 28 | 3,250,000$ | 3,250,000$ | |||||||
Philipp Grubauer ![]() | RW | 31 | 3,333,333$ | 3,333,333$ | |||||||
Riley Stillman ![]() | D | 25 | 900,000$ | 900,000$ | |||||||
Robert Hagg ![]() | D | 28 | 1,150,000$ | 1,150,000$ | |||||||
Sam Reinhart ![]() | C | 27 | 3,650,000$ | 3,650,000$ | |||||||
Scott Mayfield ![]() | D | 30 | 1,450,000$ | 1,450,000$ | |||||||
Sean Kuraly ![]() | C | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
T.J. Tynan ![]() | C | 31 | 750,000$ | 750,000$ | |||||||
Tanner Pearson ![]() | LW | 30 | 3,750,000$ | 3,750,000$ | |||||||
Taylor Raddysh ![]() | RW | 25 | 894,166$ | 894,166$ | |||||||
Thomas Novak ![]() | C | 26 | 700,000$ | 700,000$ | |||||||
Ty Dellandrea ![]() | C | 22 | 1,400,833$ | 1,400,833$ | 1,400,833$ | ||||||
Valeri Nichushkin ![]() | RW | 28 | 850,000$ | 850,000$ | |||||||
Vincent Trocheck ![]() | C | 29 | 4,750,000$ | 4,750,000$ | |||||||
Vladislav Kolyachonok ![]() | D | 21 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | |||||
Zach Whitecloud ![]() | D | 26 | 1,491,667$ | 1,491,667$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
109,888,331$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Ball Arena | |
City | Denver | ||
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$ | 25$ | 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 |
109,888,331$ | 109,963,539$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 9,014,050$ | 9,014,050$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Albin Grewe | |||||
Alex Laferrière | |||||
Bobby Brink | |||||
Corson Ceulemans | |||||
Dominic Basse | |||||
Drew Helleson | |||||
Emil Heineman | |||||
Gianni Fairbrother | |||||
Henry Thrun | |||||
Jacob Bernard-Docker | |||||
Jay O'Brien | |||||
Justin Ertel | |||||
Leevi Merilainen | |||||
Leo Loof | |||||
Liam Gilmartin | |||||
Marcus Davidsson | |||||
Matthew Samoskevich | |||||
Philip Svedeback | |||||
Ryan O'Rourke | |||||
Topi Niemela | |||||
Ty Gallangher |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Albin Grewe | |||||
Alex Laferrière | |||||
Bobby Brink | |||||
Corson Ceulemans | |||||
Dominic Basse | |||||
Drew Helleson | |||||
Emil Heineman | |||||
Gianni Fairbrother | |||||
Henry Thrun | |||||
Jacob Bernard-Docker | |||||
Jay O'Brien | |||||
Justin Ertel | |||||
Leevi Merilainen | |||||
Leo Loof | |||||
Liam Gilmartin | |||||
Marcus Davidsson | |||||
Matthew Samoskevich | |||||
Philip Svedeback | |||||
Ryan O'Rourke | |||||
Topi Niemela | |||||
Ty Gallangher |