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Full Scoreboard »» |
Denver Avalanche Team Overall:75 10-20-4, 24pts · 10th in Conférence Ouest |
# | 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | RW | 6' 0" | 208 | 29 | 57 | 39 | 86 | 80 | 76 | 83 | 85 | 78 | 56 | 71 | 77 | 79 | 80 | 78 | 71 | 0 | 40 | 78 | 100.00 | 5,250,000$/3yrs | |
0 | ![]() | C/RW | 5' 11" | 195 | 35 | 72 | 42 | 84 | 77 | 71 | 83 | 86 | 76 | 84 | 73 | 79 | 75 | 76 | 86 | 79 | 0 | 40 | 78 | 99.00 | 7,000,000$/2yrs | |
0 | ![]() | C | 6' 0" | 215 | 24 | 65 | 46 | 84 | 76 | 77 | 86 | 89 | 73 | 90 | 78 | 77 | 68 | 74 | 69 | 82 | 0 | 40 | 77 | 100.00 | 5,500,000$/3yrs | |
0 | ![]() | C | 6' 0" | 188 | 29 | 72 | 39 | 86 | 74 | 72 | 81 | 90 | 73 | 85 | 71 | 75 | 72 | 74 | 78 | 71 | 0 | 40 | 76 | 100.00 | 5,825,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 201 | 27 | 81 | 46 | 84 | 73 | 78 | 80 | 88 | 72 | 53 | 71 | 74 | 69 | 73 | 75 | 67 | 0 | 40 | 76 | 100.00 | 3,750,000$/3yrs | |
0 | ![]() | C | 5' 10" | 183 | 26 | 83 | 39 | 68 | 75 | 67 | 83 | 81 | 73 | 86 | 78 | 67 | 74 | 71 | 73 | 74 | 0 | 40 | 76 | 100.00 | 4,750,000$/3yrs | |
0 | ![]() | LW/RW | 5' 10" | 194 | 25 | 69 | 39 | 82 | 76 | 69 | 82 | 81 | 74 | 56 | 73 | 72 | 63 | 70 | 71 | 67 | 0 | 40 | 75 | 100.00 | 3,400,000$/3yrs | |
0 | ![]() | LW/RW | 6' 1" | 217 | 27 | 90 | 62 | 69 | 72 | 81 | 79 | 77 | 71 | 58 | 73 | 70 | 62 | 69 | 75 | 68 | 0 | 40 | 75 | 100.00 | 3,500,000$/1yrs | |
0 | ![]() | LW/RW | 5' 11" | 186 | 30 | 79 | 72 | 71 | 69 | 70 | 82 | 84 | 66 | 59 | 68 | 67 | 86 | 65 | 79 | 72 | 0 | 40 | 74 | 100.00 | 2,850,000$/2yrs | |
0 | ![]() | C/LW/RW | 5' 11" | 175 | 24 | 52 | 38 | 88 | 72 | 67 | 80 | 86 | 71 | 69 | 73 | 67 | 64 | 72 | 69 | 67 | 0 | 40 | 72 | 100.00 | 3,775,000$/3yrs | |
0 | ![]() | C | 6' 4" | 197 | 19 | 58 | 42 | 82 | 72 | 86 | 77 | 83 | 71 | 82 | 69 | 63 | 65 | 72 | 59 | 62 | 0 | 40 | 72 | 100.00 | 3,425,000$/3yrs | |
0 | ![]() | C/LW | 6' 0" | 192 | 23 | 63 | 39 | 87 | 72 | 73 | 82 | 78 | 69 | 63 | 67 | 70 | 58 | 72 | 67 | 65 | 0 | 40 | 72 | 100.00 | 1,900,000$/1yrs | |
0 | ![]() | D | 6' 3" | 209 | 25 | 84 | 51 | 69 | 73 | 85 | 89 | 91 | 72 | 30 | 80 | 67 | 85 | 56 | 71 | 67 | 0 | 40 | 77 | 100.00 | 8,000,000$/1yrs | |
0 | ![]() | D | 6' 1" | 192 | 36 | 57 | 46 | 75 | 77 | 76 | 90 | 86 | 73 | 30 | 80 | 61 | 82 | 53 | 87 | 77 | 0 | 40 | 76 | 100.00 | 5,538,462$/2yrs | |
0 | ![]() | D | 6' 1" | 207 | 28 | 57 | 38 | 83 | 74 | 79 | 89 | 81 | 73 | 30 | 77 | 69 | 72 | 58 | 77 | 71 | 0 | 40 | 75 | 100.00 | 6,500,000$/3yrs | |
0 | ![]() | D | 6' 2" | 212 | 37 | 87 | 45 | 82 | 61 | 83 | 85 | 84 | 59 | 30 | 68 | 54 | 90 | 51 | 88 | 89 | 0 | 40 | 74 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 2" | 204 | 24 | 93 | 50 | 72 | 64 | 81 | 83 | 85 | 63 | 30 | 72 | 61 | 78 | 52 | 69 | 65 | 0 | 40 | 73 | 100.00 | 1,150,000$/3yrs | |
0 | ![]() | D | 6' 3" | 210 | 22 | 69 | 45 | 76 | 63 | 85 | 82 | 79 | 62 | 30 | 69 | 54 | 84 | 48 | 65 | 64 | 0 | 40 | 71 | 100.00 | 888,333$/3yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C/LW | 6' 2" | 200 | 24 | 81 | 43 | 88 | 67 | 80 | 77 | 84 | 66 | 78 | 68 | 62 | 83 | 67 | 69 | 66 | 0 | 40 | 73 | 100.00 | 1,500,000$/3yrs | |
0 | ![]() | C/RW | 6' 2" | 189 | 21 | 63 | 39 | 88 | 71 | 78 | 80 | 77 | 69 | 70 | 68 | 67 | 63 | 72 | 62 | 66 | 0 | 40 | 72 | 100.00 | 1,400,833$/3yrs | |
0 | ![]() | D | 6' 5" | 223 | 27 | 80 | 59 | 69 | 65 | 94 | 85 | 87 | 63 | 30 | 71 | 61 | 83 | 52 | 75 | 69 | 0 | 40 | 74 | 94.41 | 1,450,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 7" | 202 | 31 | 92 | 93 | 95 | 92 | 92 | 91 | 80 | 86 | 0 | 40 | 79 | 100.00 | 4,500,000$/2yrs | |||||||
0 | ![]() | 6' 1" | 188 | 28 | 90 | 93 | 95 | 90 | 90 | 89 | 77 | 83 | 0 | 40 | 77 | 100.00 | 3,333,333$/3yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 86 | 87 | 92 | 89 | 85 | 87 | 1 | CAN | 57 | 1 | 525,000$ |
General Manager | Evans Lapointe |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Bo Horvat | 0 | C | 34 | 12 | 12 | 24 | 0 | 10 | 0 | 41 | 89 | 25 | 60 | 13.48% | 2 | 19.15 | 5 | 7 | 12 | 127 | 0 | 0 | 0 | 11 | 2 | 1 | 51.95% | 820 | 0 | 0 | 0 | 0 | 0.74 | 0 | 2 | ||
2 | Joe Pavelski | 0 | C/RW | 34 | 12 | 11 | 23 | 5 | 25 | 5 | 42 | 117 | 37 | 81 | 10.26% | 4 | 19.79 | 3 | 2 | 5 | 128 | 0 | 0 | 0 | 59 | 1 | 0 | 52.08% | 288 | 0 | 0 | 1 | 0 | 0.68 | 0 | 2 | ||
3 | Jacob Trouba | 0 | D | 34 | 2 | 15 | 17 | -6 | 60 | 0 | 105 | 45 | 18 | 39 | 4.44% | 32 | 21.13 | 2 | 4 | 6 | 103 | 0 | 0 | 0 | 10 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
4 | Andreas Johnsson | 0 | LW/RW | 34 | 4 | 12 | 16 | 3 | 16 | 0 | 53 | 70 | 16 | 45 | 5.71% | 2 | 19.03 | 0 | 6 | 6 | 113 | 0 | 1 | 1 | 36 | 0 | 0 | 44.12% | 68 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
5 | Cam Fowler | 0 | D | 34 | 2 | 13 | 15 | 3 | 6 | 0 | 10 | 43 | 16 | 30 | 4.65% | 41 | 21.99 | 1 | 6 | 7 | 127 | 0 | 0 | 0 | 44 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
6 | Duncan Keith | 0 | D | 34 | 3 | 12 | 15 | -2 | 0 | 0 | 7 | 37 | 17 | 33 | 8.11% | 31 | 22.91 | 2 | 4 | 6 | 107 | 0 | 0 | 0 | 119 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
7 | Jakob Silfverberg | 0 | RW | 32 | 10 | 5 | 15 | 0 | 6 | 0 | 12 | 71 | 18 | 60 | 14.08% | 8 | 18.33 | 2 | 1 | 3 | 112 | 0 | 0 | 0 | 21 | 1 | 0 | 40.00% | 40 | 0 | 0 | 0 | 0 | 0.51 | 0 | 2 | ||
8 | Vincent Trocheck | 0 | C | 34 | 8 | 7 | 15 | -5 | 22 | 0 | 80 | 47 | 17 | 44 | 17.02% | 0 | 15.70 | 3 | 2 | 5 | 106 | 0 | 0 | 0 | 36 | 1 | 0 | 48.09% | 653 | 0 | 0 | 0 | 0 | 0.56 | 0 | 2 | ||
9 | Matt Calvert | 0 | LW/RW | 34 | 5 | 6 | 11 | 3 | 25 | 5 | 48 | 62 | 19 | 41 | 8.06% | 8 | 14.26 | 0 | 0 | 0 | 6 | 1 | 0 | 1 | 89 | 1 | 0 | 50.00% | 44 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
10 | Tanner Pearson | 0 | LW | 34 | 4 | 7 | 11 | -1 | 10 | 0 | 50 | 56 | 13 | 43 | 7.14% | 5 | 16.48 | 0 | 4 | 4 | 110 | 0 | 0 | 0 | 9 | 0 | 0 | 32.43% | 37 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
11 | Adam Henrique | 0 | C | 17 | 5 | 4 | 9 | 0 | 12 | 0 | 22 | 40 | 13 | 36 | 12.50% | 5 | 19.11 | 3 | 1 | 4 | 58 | 0 | 0 | 0 | 40 | 1 | 0 | 50.30% | 332 | 0 | 0 | 0 | 0 | 0.55 | 0 | 1 | ||
12 | Deryk Engelland | 0 | D | 34 | 0 | 6 | 6 | 8 | 56 | 0 | 117 | 22 | 8 | 13 | 0.00% | 54 | 18.76 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 114 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
13 | Martin Necas | 0 | C/RW | 26 | 0 | 3 | 3 | -7 | 0 | 0 | 8 | 17 | 8 | 17 | 0.00% | 0 | 8.72 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 47.62% | 21 | 0 | 0 | 0 | 0 | 0.26 | 0 | 1 | ||
14 | Micheal Ferland | 0 | LW/RW | 33 | 0 | 3 | 3 | -16 | 29 | 5 | 85 | 39 | 9 | 25 | 0.00% | 0 | 13.64 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 12 | 0 | 0 | 45.45% | 66 | 0 | 0 | 0 | 0 | 0.13 | 0 | 2 | ||
15 | Jonas Siegenthaler | 0 | D | 27 | 1 | 1 | 2 | -9 | 23 | 5 | 29 | 10 | 0 | 1 | 10.00% | 35 | 15.32 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 89 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
16 | Kirby Dach | 0 | C | 24 | 1 | 1 | 2 | -7 | 4 | 0 | 9 | 21 | 5 | 10 | 4.76% | 2 | 7.80 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 44.64% | 168 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Robert Hagg | 0 | D | 6 | 1 | 1 | 2 | -1 | 8 | 0 | 16 | 10 | 2 | 3 | 10.00% | 4 | 18.82 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
18 | Ryan Donato | 0 | C/LW | 22 | 1 | 1 | 2 | 0 | 6 | 0 | 11 | 10 | 4 | 11 | 10.00% | 0 | 7.84 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 43.33% | 30 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
19 | Scott Mayfield | 0 | D | 18 | 0 | 2 | 2 | -6 | 28 | 0 | 40 | 4 | 1 | 0 | 0.00% | 18 | 16.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | ||
20 | Dominik Kahun | 0 | C/LW/RW | 21 | 0 | 0 | 0 | -8 | 0 | 0 | 3 | 18 | 5 | 9 | 0.00% | 2 | 8.80 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 3 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Jason Dickinson | 0 | C/LW | 23 | 0 | 0 | 0 | -10 | 8 | 0 | 20 | 19 | 8 | 6 | 0.00% | 2 | 10.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 50.00% | 190 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 589 | 71 | 122 | 193 | -56 | 354 | 20 | 808 | 847 | 259 | 607 | 8.38% | 255 | 16.35 | 21 | 37 | 58 | 1226 | 1 | 1 | 2 | 840 | 10 | 2 | 49.28% | 2768 | 0 | 0 | 1 | 0 | 0.40 | 0 | 12 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Philipp Grubauer | 12 | 7 | 4 | 1 | 0.904 | 2.57 | 724 | 0 | 2 | 31 | 323 | 0 | 0 | 1 | 0.667 | 3 | 12 | 20 | 1 | 0 | 0 | |
2 | Mikko Koskinen | 12 | 2 | 7 | 2 | 0.924 | 2.46 | 611 | 0 | 2 | 25 | 328 | 0 | 0 | 0 | 0.800 | 5 | 10 | 24 | 2 | 0 | 1 | |
Team Total or Average | 24 | 9 | 11 | 3 | 0.914 | 2.52 | 1336 | 0 | 4 | 56 | 651 | 0 | 0 | 1 | 0.750 | 8 | 22 | 44 | 3 | 0 | 1 |
Projected Total Cap Hit | 84,435,961$ |
Projected Cap Space | 7,064,039$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Henrique ![]() | C | 29 | 5,825,000$ | 5,825,000$ | |||||||
Andreas Johnsson ![]() | LW/RW | 25 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | |||||
Bo Horvat ![]() | C | 24 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Cam Fowler ![]() | D | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||||
Deryk Engelland ![]() | D | 37 | 700,000$ | 700,000$ | |||||||
Dominik Kahun ![]() | C/LW/RW | 24 | 3,775,000$ | 3,775,000$ | 3,775,000$ | 3,775,000$ | |||||
Duncan Keith ![]() | D | 36 | 5,538,462$ | 5,538,462$ | 5,538,462$ | ||||||
Jacob Trouba ![]() | D | 25 | 8,000,000$ | 8,000,000$ | |||||||
Jakob Silfverberg ![]() | RW | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |||||
Jason Dickinson ![]() | C/LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Joe Pavelski ![]() | C/RW | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||||
Jonas Siegenthaler ![]() | D | 22 | 888,333$ | 888,333$ | 888,333$ | 888,333$ | |||||
Kirby Dach ![]() | C | 19 | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | |||||
Martin Necas ![]() | C/RW | 21 | 1,400,833$ | 1,400,833$ | 1,400,833$ | 1,400,833$ | |||||
Matt Calvert ![]() | LW/RW | 30 | 2,850,000$ | 2,850,000$ | 2,850,000$ | ||||||
Micheal Ferland ![]() | LW/RW | 27 | 3,500,000$ | 3,500,000$ | |||||||
Mikko Koskinen ![]() | C | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Philipp Grubauer ![]() | C/RW | 28 | 3,333,333$ | 3,333,333$ | 3,333,333$ | 3,333,333$ | |||||
Robert Hagg ![]() | D | 24 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | |||||
Ryan Donato ![]() | C/LW | 23 | 1,900,000$ | 1,900,000$ | |||||||
Scott Mayfield ![]() | D | 27 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | |||||
Tanner Pearson ![]() | LW | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | |||||
Vincent Trocheck ![]() | C | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 0 | 1 | 2 | 0 | 54 | 10 | 18 | 26 | 0 | 45 | 13 | 12 | 38 | 8 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 54 | 40 | 42 | 13 | 23 | 11 | 60.0% | 5.6% | 95.6% | 101.1 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 72 | 15 | 30 | 27 | 0 | 86 | 28 | 31 | 63 | 14 | 2 | 14.29% | 12 | 3 | 75.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 72 | 48 | 70 | 21 | 37 | 19 | 57.1% | 8.3% | 93.0% | 101.4 | DULL | |
3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 39 | 9 | 15 | 15 | 0 | 63 | 30 | 12 | 39 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 46 | 32 | 49 | 13 | 23 | 12 | 44.4% | 12.8% | 92.1% | 104.9 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 16 | 11 | 6 | 0 | 34 | 10 | 8 | 24 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 23 | 16 | 25 | 6 | 11 | 5 | 33.3% | 6.1% | 85.3% | 91.4 | Unlucky | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 40 | 8 | 11 | 21 | 0 | 53 | 20 | 24 | 60 | 7 | 1 | 14.29% | 12 | 1 | 91.67% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 43 | 27 | 51 | 14 | 24 | 12 | 0.0% | 2.5% | 88.7% | 91.2 | Unlucky | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 54 | 13 | 20 | 21 | 0 | 63 | 10 | 28 | 46 | 10 | 2 | 20.00% | 14 | 4 | 71.43% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 50 | 34 | 44 | 14 | 25 | 13 | 30.0% | 9.3% | 82.5% | 91.8 | FUN | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 10 | 17 | 0 | 0 | 2 | 2 | 3 | 0 | 79 | 32 | 23 | 24 | 0 | 97 | 20 | 34 | 72 | 10 | 2 | 20.00% | 16 | 1 | 93.75% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 68 | 47 | 74 | 22 | 36 | 17 | 38.5% | 8.9% | 90.7% | 99.6 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 0 | 39 | 11 | 9 | 19 | 0 | 50 | 16 | 24 | 52 | 6 | 1 | 16.67% | 12 | 1 | 91.67% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 45 | 30 | 49 | 15 | 24 | 12 | 57.1% | 12.8% | 92.0% | 104.8 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 56 | 18 | 17 | 21 | 0 | 55 | 12 | 12 | 47 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 44 | 29 | 48 | 15 | 26 | 13 | 50.0% | 10.7% | 90.9% | 101.6 | FUN | |
10 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | -5 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 49 | 20 | 9 | 16 | 9 | 51 | 19 | 20 | 43 | 7 | 0 | 0.00% | 10 | 4 | 60.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 45 | 30 | 52 | 15 | 26 | 12 | 33.3% | 2.0% | 88.2% | 90.3 | Unlucky | |
11 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.250 | 8 | 15 | 23 | 0 | 1 | 4 | 3 | 1 | 0 | 112 | 22 | 50 | 40 | 0 | 114 | 34 | 42 | 88 | 23 | 2 | 8.70% | 15 | 1 | 93.33% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 97 | 68 | 93 | 30 | 48 | 24 | 40.0% | 7.1% | 91.2% | 98.4 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 30 | 11 | 9 | 10 | 0 | 32 | 8 | 10 | 18 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 27 | 19 | 19 | 6 | 12 | 7 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 7 | 3 | 5 | 0 | 33 | 7 | 10 | 17 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 24 | 16 | 23 | 8 | 11 | 5 | 0.0% | 6.7% | 93.9% | 100.6 | DULL | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 50 | 19 | 14 | 17 | 0 | 48 | 15 | 20 | 49 | 6 | 0 | 0.00% | 9 | 4 | 55.56% | 1 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 50 | 34 | 42 | 13 | 26 | 13 | 55.6% | 10.0% | 83.3% | 93.3 | FUN | |
15 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 8 | 10 | 11 | 0 | 36 | 7 | 6 | 15 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 27 | 20 | 23 | 8 | 11 | 6 | 25.0% | 6.9% | 91.7% | 98.6 | DULL | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 68 | 15 | 33 | 17 | 8 | 58 | 12 | 22 | 55 | 10 | 2 | 20.00% | 11 | 4 | 63.64% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 53 | 37 | 44 | 15 | 26 | 13 | 75.0% | 7.4% | 91.4% | 98.7 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 1 | 4 | 0 | 54 | 16 | 17 | 21 | 0 | 55 | 13 | 20 | 39 | 7 | 3 | 42.86% | 9 | 2 | 77.78% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 46 | 33 | 49 | 14 | 23 | 12 | 60.0% | 11.1% | 92.7% | 103.8 | LUCKY | |
_Vs Division | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 19 | 27 | -8 | 4 | 0.222 | 19 | 35 | 54 | 0 | 2 | 7 | 5 | 7 | 0 | 220 | 53 | 82 | 85 | 0 | 260 | 67 | 104 | 203 | 44 | 6 | 13.64% | 46 | 7 | 84.78% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 218 | 150 | 210 | 69 | 110 | 55 | 39.4% | 8.6% | 89.6% | 98.3 | Unlucky | |
_Vs Conference | 18 | 6 | 12 | 0 | 0 | 0 | 0 | 0 | 40 | 44 | -4 | 12 | 0.333 | 40 | 77 | 117 | 0 | 3 | 12 | 10 | 18 | 0 | 456 | 112 | 164 | 180 | 0 | 501 | 133 | 179 | 390 | 82 | 13 | 15.85% | 78 | 13 | 83.33% | 0 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 436 | 301 | 421 | 135 | 222 | 112 | 46.6% | 8.8% | 91.2% | 100.0 | DULL | |
_Since Last GM Reset | 34 | 10 | 20 | 0 | 0 | 2 | 0 | 2 | 71 | 91 | -20 | 24 | 0.353 | 71 | 127 | 198 | 0 | 4 | 19 | 23 | 29 | 0 | 873 | 250 | 299 | 317 | 17 | 973 | 274 | 335 | 765 | 142 | 21 | 14.79% | 152 | 28 | 81.58% | 1 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 823 | 568 | 806 | 252 | 423 | 213 | 44.2% | 8.1% | 90.6% | 98.8 | Unlucky | |
Total | 34 | 10 | 20 | 0 | 0 | 2 | 0 | 2 | 71 | 91 | -20 | 24 | 0.353 | 71 | 127 | 198 | 0 | 4 | 19 | 23 | 29 | 0 | 873 | 250 | 299 | 317 | 17 | 973 | 274 | 335 | 765 | 142 | 21 | 14.79% | 152 | 28 | 81.58% | 1 | 542 | 1105 | 49.05% | 608 | 1192 | 51.01% | 216 | 466 | 46.35% | 823 | 568 | 806 | 252 | 423 | 213 | 44.2% | 8.1% | 90.6% | 98.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1105 |
Neutral Zone Start | 466 |
Defensive Zone Start | 1192 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1366 |
Faceoffs Lost | 1397 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.4 | 9.57 |
2nd Period | 16.1 | 20.31 |
3rd Period | 25.5 | 30.68 |
Overtime | 26.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.1 | 2.83 |
Even Strenght Goal | 49 |
---|---|
PP Goal | 21 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 9 | 11 |
Overtime Lost | 1 | 3 |
PP Attempt | 142 |
---|---|
PP Goal | 21 |
PK Attempt | 152 |
PK Goal Against | 28 |
Home | |
---|---|
Shots For | 25.7 |
Shots Against | 28.6 |
Goals For | 2.1 |
Goals Against | 2.7 |
Hits | 22.5 |
Shots Blocked | 8.1 |
Pim | 9.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-21 | @ | Senators2,Avalanche3 | RECAP | ||
2020-11-22 | @ | Avalanche2,Senators3 (OT) | RECAP | ||
2020-11-24 | @ | Avalanche3,Red Wings6 | RECAP | ||
2020-11-26 | @ | Predators4,Avalanche0 | RECAP | ||
2020-11-28 | @ | Avalanche2,Hurricanes5 | RECAP | ||
2020-11-30 | @ | Blackhawks0,Avalanche5 | RECAP | ||
2020-12-03 | @ | Flames0,Avalanche3 | RECAP | ||
2020-12-06 | @ | Avalanche0,Maple Leafs3 | RECAP | ||
2020-12-08 | @ | Avalanche2,Panthers3 (SO) | RECAP | ||
2020-12-09 | @ | Avalanche1,Jets2 | RECAP | ||
2020-12-11 | @ | Predators0,Avalanche5 | RECAP | ||
2020-12-13 | @ | Capitals3,Avalanche2 | RECAP | ||
2020-12-15 | @ | Bruins5,Avalanche1 | RECAP | ||
2020-12-17 | @ | Avalanche1,Blackhawks2 | RECAP | ||
2020-12-19 | @ | Canadiens3,Avalanche1 | RECAP | ||
2020-12-21 | @ | Red Wings5,Avalanche2 | RECAP | ||
2020-12-22 | @ | Avalanche3,Capitals1 | RECAP | ||
2020-12-24 | @ | Avalanche0,Rangers3 | RECAP | ||
2020-12-26 | @ | Avalanche2,Maple Leafs3 | RECAP | ||
2020-12-28 | @ | Canadiens5,Avalanche4 | RECAP | ||
2020-12-30 | @ | Avalanche6,Oilers3 | RECAP | ||
2021-01-01 | @ | Bruins1,Avalanche0 (SO) | RECAP | ||
2021-01-03 | @ | Avalanche1,Rangers3 | RECAP | ||
2021-01-04 | @ | Avalanche5,Golden Knights2 | RECAP | ||
2021-01-06 | @ | Flames2,Avalanche0 | RECAP | ||
2021-01-08 | @ | Avalanche0,Oilers2 | RECAP | ||
2021-01-10 | @ | Sabres0,Avalanche3 | RECAP | ||
2021-01-12 | @ | Avalanche0,Blackhawks4 | RECAP | ||
2021-01-13 | @ | Panthers2,Avalanche3 | RECAP | ||
2021-01-16 | @ | Golden Knights2,Avalanche1 | RECAP | ||
2021-01-18 | @ | Avalanche2,Penguins3 (OT) | RECAP | ||
2021-01-19 | @ | Blackhawks4,Avalanche2 | RECAP | ||
2021-01-21 | @ | Maple Leafs3,Avalanche5 | RECAP | ||
2021-01-24 | @ | Avalanche1,Capitals2 | RECAP | ||
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2021-05-01 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,435,961$ | 0$ | 84,435,961$ | 7,064,039$ |
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 | 0 | 0 | 0 | 0 |
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 |
24 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,435,961$ | 84,435,961$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 84,435,961$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 99 | 499,770$ | 49,477,230$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
65,248,821$ | 84,435,961$ | 9,014,050$ | -56,234,771$ |
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 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 | |||||
Bobby Brink | |||||
Dominic Basse | |||||
Drew Helleson | |||||
Gianni Fairbrother | |||||
Henry Thrun | |||||
Jacob Bernard-Docker | |||||
Jay O'Brien | |||||
Jett Woo | |||||
Marcus Davidsson | |||||
Ty Dellandrea | |||||
Victor Soderstrom | |||||
Vladislav Kolyachonok |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 | |||||
Bobby Brink | |||||
Dominic Basse | |||||
Drew Helleson | |||||
Gianni Fairbrother | |||||
Henry Thrun | |||||
Jacob Bernard-Docker | |||||
Jay O'Brien | |||||
Jett Woo | |||||
Marcus Davidsson | |||||
Ty Dellandrea | |||||
Victor Soderstrom | |||||
Vladislav Kolyachonok |
|