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St. Louis Blues 32-17-6, 70pts · 2nd in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 38 | LW | 100.00 | 73 | 41 | 89 | 72 | 83 | 81 | 87 | 68 | 73 | 69 | 66 | 74 | 67 | 68 | 69 | 42 | 75 | 0 | 26 | 925,000$/1yrs | |||
![]() | 90 | C | 100.00 | 60 | 36 | 92 | 74 | 79 | 90 | 85 | 75 | 86 | 77 | 76 | 84 | 73 | 87 | 76 | 46 | 75 | 0 | 34 | 5,500,000$/3yrs | |||
![]() | 24 | RW | 100.00 | 71 | 34 | 90 | 74 | 72 | 88 | 86 | 75 | 62 | 73 | 78 | 63 | 76 | 83 | 79 | 48 | 75 | 0 | 34 | 5,500,000$/1yrs | |||
![]() | 88 | C/RW | 100.00 | 69 | 36 | 85 | 83 | 78 | 88 | 89 | 79 | 74 | 78 | 77 | 66 | 80 | 67 | 71 | 82 | 75 | 0 | 26 | 6,500,000$/2yrs | |||
![]() | 29 | C/LW | 100.00 | 69 | 36 | 81 | 73 | 79 | 88 | 81 | 69 | 81 | 71 | 68 | 72 | 74 | 65 | 67 | 86 | 75 | 0 | 24 | 2,650,000$/2yrs | |||
![]() | 45 | C/LW/RW | 100.00 | 67 | 37 | 92 | 66 | 76 | 79 | 87 | 65 | 74 | 64 | 65 | 73 | 63 | 64 | 66 | 48 | 75 | 0 | 25 | 825,000$/2yrs | |||
![]() | 93 | C | 100.00 | 67 | 36 | 91 | 78 | 81 | 92 | 90 | 80 | 79 | 83 | 81 | 85 | 78 | 83 | 75 | 68 | 75 | 0 | 31 | 8,500,000$/6yrs | |||
![]() | 41 | C/RW | 100.00 | 63 | 36 | 87 | 69 | 63 | 90 | 73 | 71 | 74 | 70 | 69 | 65 | 72 | 62 | 64 | 73 | 75 | 0 | 21 | 814,167$/2yrs | |||
![]() | 19 | C/LW/RW | 100.00 | 68 | 34 | 92 | 73 | 72 | 85 | 83 | 71 | 77 | 70 | 72 | 76 | 73 | 80 | 76 | 42 | 75 | 0 | 33 | 2,100,000$/2yrs | |||
![]() | 9 | C/LW/RW | 100.00 | 73 | 39 | 74 | 85 | 80 | 91 | 89 | 80 | 55 | 79 | 83 | 78 | 82 | 72 | 73 | 66 | 75 | 0 | 28 | 5,500,000$/2yrs | |||
![]() | 89 | C/LW/RW | 100.00 | 66 | 35 | 81 | 79 | 77 | 90 | 87 | 80 | 72 | 81 | 79 | 78 | 82 | 73 | 75 | 53 | 75 | 0 | 29 | 5,475,000$/1yrs | |||
![]() | 82 | LW/RW | 100.00 | 73 | 38 | 78 | 76 | 75 | 86 | 84 | 68 | 56 | 73 | 61 | 88 | 65 | 69 | 71 | 50 | 75 | 0 | 27 | 2,950,000$/2yrs | |||
![]() | 8 | D | 100.00 | 73 | 36 | 85 | 75 | 79 | 95 | 90 | 76 | 30 | 82 | 72 | 82 | 58 | 89 | 78 | 47 | 75 | 0 | 35 | 11,000,000$/3yrs | |||
![]() | 6 | D | 100.00 | 64 | 38 | 86 | 69 | 74 | 92 | 86 | 65 | 30 | 75 | 60 | 91 | 52 | 69 | 71 | 42 | 75 | 0 | 27 | 4,400,000$/3yrs | |||
![]() | 58 | D | 100.00 | 78 | 35 | 80 | 76 | 75 | 95 | 88 | 75 | 30 | 82 | 72 | 81 | 58 | 89 | 80 | 30 | 75 | 0 | 37 | 7,000,000$/4yrs | |||
![]() | 35 | D | 100.00 | 65 | 33 | 84 | 71 | 67 | 87 | 88 | 66 | 30 | 74 | 56 | 77 | 51 | 66 | 65 | 81 | 75 | 0 | 25 | 900,000$/1yrs | |||
![]() | 51 | D | 100.00 | 69 | 37 | 89 | 77 | 86 | 93 | 89 | 78 | 30 | 87 | 72 | 73 | 61 | 66 | 72 | 83 | 75 | 0 | 25 | 4,000,000$/1yrs | |||
![]() | 3 | D | 100.00 | 83 | 58 | 76 | 68 | 80 | 91 | 88 | 65 | 30 | 76 | 63 | 85 | 53 | 76 | 73 | 57 | 75 | 0 | 31 | 3,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 33 | RW | 100.00 | 76 | 42 | 73 | 66 | 88 | 89 | 87 | 65 | 61 | 63 | 64 | 62 | 67 | 65 | 66 | 68 | 75 | 0 | 24 | 775,000$/1yrs | |||
![]() | 53 | LW/RW | 100.00 | 62 | 35 | 94 | 68 | 67 | 83 | 88 | 67 | 62 | 66 | 60 | 61 | 68 | 65 | 67 | 47 | 75 | 0 | 25 | 775,000$/2yrs | |||
![]() | 2 | D | 100.00 | 76 | 74 | 71 | 62 | 80 | 86 | 83 | 60 | 30 | 68 | 57 | 85 | 49 | 81 | 75 | 41 | 75 | 0 | 35 | 1,250,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 39 | 84 | 73 | 77 | 89 | 86 | 71 | 57 | 74 | 69 | 76 | 67 | 73 | 72 | 57 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 98.00 | 95 | 86 | 83 | 82 | 94 | 93 | 95 | 94 | 93 | 95 | 94 | 68 | 75 | 58 | 75 | 0 | 26 | 8,250,000$/8yrs |
![]() | 34 | 100.00 | 87 | 86 | 81 | 79 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 73 | 88 | 47 | 75 | 0 | 32 | 910,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 91 | 86 | 82 | 81 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 71 | 82 | 53 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 88 | 91 | 90 | 89 | 88 | 82 | 58 | CAN | 59 | 3 | 4,666,667$ |
General Manager | Dominique St-Pierre |
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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 | Mika Zibanejad | 93 | C | 55 | 28 | 36 | 64 | 17 | 8 | 0 | 42 | 243 | 72 | 190 | 11.52% | 19 | 20.92 | 8 | 11 | 19 | 191 | 0 | 1 | 1 | 154 | 4 | 0 | 52.80% | 1752 | 0 | 0 | 1 | 1 | 1.11 | 2 | 4 | ||
2 | Adrian Kempe | 9 | C/LW/RW | 55 | 21 | 37 | 58 | 19 | 22 | 0 | 121 | 235 | 62 | 175 | 8.94% | 10 | 20.05 | 6 | 14 | 20 | 191 | 0 | 0 | 0 | 139 | 1 | 2 | 41.67% | 108 | 0 | 0 | 0 | 1 | 1.05 | 1 | 4 | ||
3 | Pavel Buchnevich | 89 | C/LW/RW | 53 | 22 | 35 | 57 | 25 | 12 | 0 | 74 | 192 | 56 | 133 | 11.46% | 8 | 19.66 | 7 | 9 | 16 | 190 | 2 | 0 | 2 | 122 | 4 | 2 | 47.25% | 91 | 0 | 0 | 0 | 0 | 1.09 | 0 | 4 | ||
4 | Ryan O'Reilly | 90 | C | 51 | 16 | 30 | 46 | 3 | 10 | 0 | 19 | 142 | 48 | 114 | 11.27% | 20 | 18.76 | 3 | 12 | 15 | 155 | 0 | 0 | 0 | 125 | 3 | 1 | 52.64% | 1381 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | ||
5 | Drew Doughty | 8 | D | 55 | 13 | 31 | 44 | 9 | 38 | 0 | 42 | 102 | 31 | 71 | 12.75% | 71 | 22.56 | 5 | 10 | 15 | 166 | 0 | 0 | 0 | 129 | 2 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
6 | Kris Letang | 58 | D | 55 | 9 | 32 | 41 | 13 | 44 | 0 | 100 | 103 | 37 | 79 | 8.74% | 63 | 23.33 | 4 | 10 | 14 | 191 | 0 | 0 | 0 | 126 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
7 | Martin Necas | 88 | C/RW | 54 | 15 | 22 | 37 | 5 | 20 | 0 | 53 | 164 | 39 | 95 | 9.15% | 2 | 16.38 | 3 | 8 | 11 | 166 | 0 | 0 | 0 | 1 | 2 | 1 | 52.86% | 70 | 0 | 0 | 0 | 0 | 0.84 | 2 | 2 | ||
8 | Noah Dobson | 51 | D | 55 | 11 | 19 | 30 | -4 | 20 | 0 | 33 | 97 | 22 | 63 | 11.34% | 46 | 20.52 | 7 | 2 | 9 | 196 | 0 | 0 | 0 | 41 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
9 | Mathieu Joseph | 82 | LW/RW | 55 | 9 | 20 | 29 | 3 | 26 | 0 | 77 | 119 | 29 | 78 | 7.56% | 14 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 2 | 0 | 25.00% | 80 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
10 | Jake McCabe | 3 | D | 55 | 8 | 18 | 26 | -11 | 36 | 0 | 143 | 75 | 18 | 41 | 10.67% | 77 | 20.89 | 3 | 5 | 8 | 101 | 0 | 1 | 1 | 120 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
11 | Kyle Palmieri | 24 | RW | 54 | 10 | 12 | 22 | -10 | 10 | 0 | 65 | 133 | 40 | 98 | 7.52% | 3 | 16.71 | 5 | 4 | 9 | 177 | 0 | 0 | 0 | 0 | 1 | 2 | 46.97% | 66 | 0 | 0 | 1 | 0 | 0.49 | 0 | 2 | ||
12 | Calle Jarnkrok | 19 | C/LW/RW | 55 | 10 | 10 | 20 | -15 | 14 | 0 | 45 | 111 | 25 | 61 | 9.01% | 4 | 14.93 | 2 | 4 | 6 | 129 | 0 | 0 | 0 | 11 | 1 | 0 | 47.53% | 162 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
13 | Barrett Hayton | 29 | C/LW | 54 | 10 | 9 | 19 | -9 | 8 | 0 | 60 | 85 | 24 | 55 | 11.76% | 5 | 13.32 | 0 | 0 | 0 | 48 | 0 | 0 | 0 | 0 | 1 | 0 | 50.47% | 846 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
14 | Nils Aman | 45 | C/LW/RW | 54 | 5 | 10 | 15 | -7 | 6 | 0 | 11 | 54 | 14 | 36 | 9.26% | 8 | 8.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.96% | 516 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
15 | Brendan Smith | 2 | D | 40 | 3 | 11 | 14 | -6 | 65 | 5 | 67 | 26 | 5 | 18 | 11.54% | 44 | 15.81 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 77 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
16 | Erik Brannstrom | 35 | D | 54 | 2 | 10 | 12 | 5 | 18 | 0 | 39 | 35 | 12 | 21 | 5.71% | 49 | 17.94 | 1 | 3 | 4 | 101 | 0 | 0 | 0 | 96 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
17 | Drew O'Connor | 38 | LW | 55 | 4 | 6 | 10 | -7 | 10 | 0 | 28 | 58 | 13 | 62 | 6.90% | 7 | 9.15 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 57.14% | 21 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
18 | Logan Stankoven | 41 | C/RW | 55 | 3 | 7 | 10 | -13 | 12 | 0 | 24 | 68 | 16 | 40 | 4.41% | 5 | 11.98 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 60.00% | 60 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
19 | John Marino | 6 | D | 10 | 2 | 3 | 5 | -2 | 4 | 0 | 6 | 10 | 1 | 3 | 20.00% | 16 | 20.78 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
20 | Egor Sokolov | 33 | RW | 49 | 2 | 1 | 3 | -3 | 8 | 0 | 56 | 30 | 6 | 22 | 6.67% | 3 | 8.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.69% | 26 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
21 | Valtteri Puustinen | 53 | LW/RW | 7 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 6 | 2 | 5 | 16.67% | 1 | 6.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | ||
Team Total or Average | 1030 | 204 | 361 | 565 | 13 | 391 | 5 | 1105 | 2088 | 572 | 1460 | 9.77% | 475 | 16.52 | 54 | 93 | 147 | 2021 | 2 | 3 | 5 | 1195 | 29 | 13 | 50.76% | 5185 | 0 | 0 | 2 | 2 | 0.66 | 5 | 16 |
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 | Jeremy Swayman | Blues | 50 | 29 | 16 | 5 | 0.898 | 3.10 | 2919 | 14 | 2 | 151 | 1477 | 0 | 3 | 3 | 0.769 | 13 | 50 | 5 | 2 | 3 | 3 |
2 | Alex Lyon | Blues | 8 | 3 | 1 | 1 | 0.898 | 3.19 | 395 | 0 | 0 | 21 | 206 | 0 | 0 | 0 | 0.000 | 0 | 5 | 50 | 1 | 0 | 0 |
Team Total or Average | 58 | 32 | 17 | 6 | 0.898 | 3.11 | 3314 | 14 | 2 | 172 | 1683 | 0 | 3 | 3 | 0.769 | 13 | 55 | 55 | 3 | 3 | 3 |
Projected Total Cap Hit | 86,254,682$ |
Projected Cap Space | 1,745,318$ |
Retains And Buyout Cap Hit | 2,133,333$ |
Salary Cap To Date | 52,614,017$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | C/LW/RW | 28 | 5,500,000$ | 5,500,000$ | 5,500,000$ | RFA | |||||
Alex Lyon | LW/RW/G | 32 | 910,000$ | 910,000$ | |||||||
Barrett Hayton | C/LW | 24 | 2,650,000$ | 2,650,000$ | 2,650,000$ | RFA | |||||
Brendan Smith | D | 35 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Calle Jarnkrok ![]() | C/LW/RW | 33 | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||||
Drew Doughty ![]() | D | 35 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | ||||
Drew O'Connor | LW/G | 26 | 925,000$ | 925,000$ | RFA | ||||||
Egor Sokolov ![]() | RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Erik Brannstrom | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Jake McCabe | D | 31 | 3,000,000$ | 3,000,000$ | |||||||
Jeremy Swayman | LW/G | 26 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ |
John Marino | D | 27 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | |||||
Kris Letang ![]() | D | 37 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Kyle Palmieri ![]() | RW | 34 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Logan Stankoven ![]() | C/RW | 21 | 814,167$ | 814,167$ | 814,167$ | ||||||
Martin Necas | C/RW | 26 | 6,500,000$ | 6,500,000$ | 6,500,000$ | RFA | |||||
Mathieu Joseph | LW/RW | 27 | 2,950,000$ | 2,950,000$ | 2,950,000$ | RFA | |||||
Mika Zibanejad ![]() | C | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |
Nils Aman | C/LW/RW | 25 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Noah Dobson | D | 25 | 4,000,000$ | 4,000,000$ | RFA | ||||||
Pavel Buchnevich | C/LW/RW | 29 | 5,475,000$ | 5,475,000$ | |||||||
Ryan O'Reilly | C | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Valtteri Puustinen | LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 14 | 20 | 14 | 0 | 65 | 24 | 18 | 40 | 5 | 1 | 20.00% | 9 | 5 | 44.44% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 41 | 26 | 52 | 15 | 25 | 11 | 25.0% | 6.3% | 83.1% | 89.3 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 33 | 13 | 9 | 11 | 0 | 34 | 5 | 8 | 35 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 24 | 16 | 21 | 6 | 13 | 6 | 66.7% | 15.2% | 91.2% | 106.3 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 0 | 3 | 6 | 0 | 79 | 28 | 22 | 29 | 0 | 60 | 7 | 14 | 39 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 46 | 33 | 49 | 15 | 24 | 12 | 61.5% | 11.4% | 91.7% | 103.1 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 80 | 24 | 31 | 25 | 0 | 69 | 23 | 6 | 47 | 12 | 2 | 16.67% | 3 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 52 | 37 | 42 | 13 | 24 | 12 | 28.6% | 5.0% | 92.8% | 97.8 | DULL | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 4 | 4 | 1 | 0 | 73 | 26 | 25 | 22 | 0 | 64 | 17 | 12 | 41 | 9 | 3 | 33.33% | 5 | 4 | 20.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 49 | 34 | 43 | 14 | 27 | 14 | 75.0% | 12.3% | 90.6% | 103.0 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 26 | 7 | 6 | 13 | 0 | 17 | 6 | 6 | 19 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 25 | 18 | 21 | 6 | 12 | 6 | 60.0% | 19.2% | 88.2% | 107.5 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 4 | 1 | 1 | 0 | 33 | 12 | 10 | 11 | 0 | 21 | 8 | 8 | 22 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 24 | 16 | 20 | 6 | 14 | 7 | 62.5% | 18.2% | 85.7% | 103.9 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 36 | 13 | 17 | 6 | 0 | 36 | 5 | 10 | 16 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 24 | 16 | 23 | 7 | 12 | 6 | 40.0% | 5.6% | 91.7% | 97.2 | DULL | |
9 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 11 | 9 | 2 | 4 | 1.000 | 11 | 17 | 28 | 0 | 0 | 5 | 2 | 2 | 2 | 76 | 31 | 25 | 15 | 12 | 66 | 15 | 8 | 40 | 11 | 1 | 9.09% | 4 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 54 | 38 | 49 | 15 | 25 | 13 | 52.6% | 14.5% | 86.4% | 100.8 | FUN | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 4 | 3 | 0 | 0 | 67 | 22 | 29 | 16 | 0 | 68 | 23 | 14 | 33 | 10 | 3 | 30.00% | 7 | 2 | 71.43% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 49 | 35 | 45 | 13 | 24 | 12 | 36.4% | 10.4% | 86.8% | 97.2 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 2 | 4 | 1 | 0 | 88 | 23 | 37 | 28 | 0 | 56 | 15 | 10 | 31 | 18 | 4 | 22.22% | 5 | 1 | 80.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 58 | 43 | 38 | 13 | 23 | 13 | 33.3% | 8.0% | 87.5% | 95.5 | Unlucky | |
12 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 3 | 5 | 2 | 0 | 119 | 42 | 36 | 41 | 0 | 93 | 29 | 16 | 49 | 11 | 1 | 9.09% | 8 | 1 | 87.50% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 74 | 52 | 66 | 21 | 39 | 20 | 75.0% | 8.4% | 95.7% | 104.1 | DULL | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 6 | 1 | 1 | 0 | 76 | 28 | 21 | 27 | 0 | 52 | 9 | 4 | 37 | 9 | 1 | 11.11% | 2 | 1 | 50.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 54 | 39 | 39 | 14 | 26 | 13 | 87.5% | 10.5% | 96.2% | 106.7 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 34 | 12 | 13 | 9 | 0 | 27 | 12 | 4 | 13 | 6 | 3 | 50.00% | 2 | 1 | 50.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 24 | 17 | 23 | 7 | 12 | 6 | 40.0% | 14.7% | 85.2% | 99.9 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 75 | 20 | 26 | 29 | 0 | 71 | 17 | 12 | 33 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 50 | 36 | 45 | 13 | 24 | 12 | 46.2% | 10.7% | 88.7% | 99.4 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 37 | 8 | 14 | 15 | 0 | 39 | 14 | 10 | 15 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 23 | 15 | 24 | 7 | 12 | 5 | 66.7% | 10.8% | 92.3% | 103.1 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 1 | 0 | 3 | 1 | 3 | 0 | 73 | 26 | 21 | 26 | 0 | 58 | 15 | 14 | 35 | 11 | 3 | 27.27% | 7 | 2 | 71.43% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 49 | 33 | 45 | 15 | 25 | 12 | 40.0% | 9.6% | 86.2% | 95.8 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 52 | 15 | 15 | 22 | 0 | 64 | 25 | 18 | 43 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 42 | 28 | 50 | 15 | 26 | 13 | 62.5% | 11.5% | 92.2% | 103.7 | LUCKY | |
19 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 1 | 1 | 71 | 16 | 22 | 31 | 2 | 62 | 12 | 8 | 35 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 50 | 36 | 46 | 13 | 25 | 12 | 40.0% | 8.5% | 90.3% | 98.8 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 62 | 21 | 17 | 24 | 0 | 52 | 20 | 10 | 36 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 1 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 48 | 32 | 47 | 14 | 24 | 12 | 33.3% | 6.5% | 92.3% | 98.8 | DULL | |
21 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 2 | 0.333 | 12 | 19 | 31 | 1 | 0 | 6 | 3 | 3 | 0 | 109 | 24 | 55 | 30 | 0 | 97 | 21 | 18 | 42 | 11 | 2 | 18.18% | 9 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 74 | 51 | 67 | 20 | 37 | 18 | 47.6% | 11.0% | 88.7% | 99.7 | FUN | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 69 | 18 | 23 | 28 | 0 | 56 | 19 | 22 | 50 | 5 | 1 | 20.00% | 11 | 2 | 81.82% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 48 | 32 | 45 | 13 | 25 | 12 | 66.7% | 7.2% | 92.9% | 100.1 | DULL | |
23 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 2 | 2 | 6 | 0 | 84 | 24 | 32 | 28 | 0 | 87 | 19 | 26 | 67 | 7 | 3 | 42.86% | 11 | 3 | 72.73% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 71 | 48 | 69 | 21 | 40 | 19 | 50.0% | 11.9% | 88.5% | 100.4 | FUN | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 77 | 29 | 24 | 24 | 0 | 78 | 14 | 26 | 47 | 9 | 1 | 11.11% | 12 | 2 | 83.33% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 48 | 34 | 47 | 14 | 23 | 11 | 26.7% | 6.5% | 83.3% | 89.8 | Unlucky | |
25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 1 | 44 | 8 | 14 | 20 | 5 | 29 | 16 | 16 | 20 | 1 | 1 | 100.00% | 7 | 2 | 71.43% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 26 | 18 | 26 | 8 | 11 | 5 | 50.0% | 9.1% | 82.8% | 91.8 | FUN | |
26 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 2 | 0 | 5 | 0 | 60 | 17 | 22 | 19 | 2 | 65 | 17 | 10 | 34 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 51 | 34 | 44 | 14 | 28 | 15 | 46.2% | 11.7% | 89.2% | 100.9 | FUN | |
27 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 5 | 10 | 6 | 1.000 | 15 | 23 | 38 | 0 | 1 | 7 | 4 | 3 | 2 | 134 | 52 | 39 | 41 | 6 | 84 | 25 | 24 | 56 | 16 | 3 | 18.75% | 12 | 1 | 91.67% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 78 | 54 | 66 | 23 | 39 | 20 | 75.0% | 11.2% | 94.0% | 105.2 | LUCKY | |
28 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 10 | 11 | -1 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 82 | 32 | 26 | 24 | 0 | 94 | 30 | 28 | 48 | 7 | 2 | 28.57% | 13 | 2 | 84.62% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 71 | 49 | 73 | 22 | 38 | 18 | 47.1% | 12.2% | 88.3% | 100.5 | FUN | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 52 | 13 | 26 | 13 | 0 | 22 | 6 | 19 | 16 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 1 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 28 | 20 | 19 | 7 | 12 | 6 | 60.0% | 7.7% | 86.4% | 94.1 | Unlucky | |
_Vs Division | 13 | 5 | 4 | 0 | 0 | 2 | 2 | 0 | 55 | 48 | 7 | 16 | 0.615 | 55 | 97 | 152 | 1 | 0 | 24 | 13 | 16 | 2 | 429 | 133 | 169 | 122 | 12 | 396 | 101 | 84 | 249 | 50 | 15 | 30.00% | 38 | 7 | 81.58% | 0 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 324 | 226 | 299 | 92 | 166 | 83 | 49.4% | 12.8% | 87.9% | 100.7 | FUN | |
_Vs Conference | 28 | 14 | 7 | 0 | 0 | 4 | 3 | 0 | 107 | 87 | 20 | 38 | 0.679 | 107 | 187 | 294 | 2 | 1 | 44 | 29 | 31 | 4 | 1005 | 335 | 365 | 298 | 18 | 852 | 234 | 201 | 516 | 120 | 27 | 22.50% | 89 | 14 | 84.27% | 1 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 704 | 492 | 636 | 204 | 358 | 182 | 52.3% | 10.6% | 89.8% | 100.4 | FUN | |
_Since Last GM Reset | 55 | 28 | 17 | 0 | 1 | 5 | 3 | 1 | 198 | 176 | 22 | 70 | 0.636 | 198 | 348 | 546 | 3 | 2 | 78 | 58 | 58 | 6 | 1949 | 618 | 677 | 641 | 27 | 1686 | 468 | 399 | 1039 | 222 | 49 | 22.07% | 183 | 35 | 80.87% | 2 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 1369 | 956 | 1257 | 400 | 703 | 358 | 51.4% | 10.2% | 89.6% | 99.7 | FUN | |
Total | 55 | 28 | 17 | 0 | 1 | 5 | 3 | 1 | 198 | 176 | 22 | 70 | 0.636 | 198 | 348 | 546 | 3 | 2 | 78 | 58 | 58 | 6 | 1949 | 618 | 677 | 641 | 27 | 1686 | 468 | 399 | 1039 | 222 | 49 | 22.07% | 183 | 35 | 80.87% | 2 | 1127 | 2181 | 51.67% | 1007 | 1996 | 50.45% | 470 | 907 | 51.82% | 1369 | 956 | 1257 | 400 | 703 | 358 | 51.4% | 10.2% | 89.6% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2181 |
Neutral Zone Start | 907 |
Defensive Zone Start | 1996 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2604 |
Faceoffs Lost | 2480 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 23.5 | 20.31 |
3rd Period | 35.2 | 30.68 |
Overtime | 35.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 144 |
---|---|
PP Goal | 49 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 17 | 15 |
Lost | 8 | 9 |
Overtime Lost | 2 | 4 |
PP Attempt | 222 |
---|---|
PP Goal | 49 |
PK Attempt | 183 |
PK Goal Against | 35 |
Home | |
---|---|
Shots For | 35.4 |
Shots Against | 30.7 |
Goals For | 3.6 |
Goals Against | 3.2 |
Hits | 18.9 |
Shots Blocked | 8.5 |
Pim | 7.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-08 | @ | Blues4,Kraken3 | RECAP | |||||||||||
2024-10-10 | @ | Blues7,Sharks2 | RECAP | |||||||||||
2024-10-11 | @ | Blues3,Golden Knights4 (OT) | RECAP | |||||||||||
2024-10-15 | @ | Wild4,Blues3 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Islanders4,Blues3 | RECAP | |||||||||||
2024-10-19 | @ | Hurricanes4,Blues7 | RECAP | |||||||||||
2024-10-22 | @ | Jets5,Blues6 (SO) | RECAP | |||||||||||
2024-10-24 | @ | Blues3,Maple Leafs1 | RECAP | |||||||||||
2024-10-26 | @ | Blues4,Canadiens3 | RECAP | |||||||||||
2024-10-29 | @ | Blues2,Senators3 | RECAP | |||||||||||
2024-10-31 | @ | Blues5,Flyers4 | RECAP | |||||||||||
2024-11-02 | @ | Maple Leafs4,Blues6 | RECAP | |||||||||||
2024-11-05 | @ | Lightning4,Blues5 | RECAP | |||||||||||
2024-11-07 | @ | Hockey Club4,Blues2 | RECAP | |||||||||||
2024-11-09 | @ | Capitals3,Blues6 | RECAP | |||||||||||
2024-11-12 | @ | Bruins8,Blues2 | RECAP | |||||||||||
2024-11-14 | @ | Blues5,Sabres3 | RECAP | |||||||||||
2024-11-16 | @ | Blues1,Bruins3 | RECAP | |||||||||||
2024-11-17 | @ | Blues1,Hurricanes4 | RECAP | |||||||||||
2024-11-19 | @ | Wild3,Blues2 (OT) | RECAP | |||||||||||
2024-11-21 | @ | Sharks0,Blues4 | RECAP | |||||||||||
2024-11-23 | @ | Blues3,Islanders1 | RECAP | |||||||||||
2024-11-25 | @ | Blues2,Rangers5 | RECAP | |||||||||||
2024-11-27 | @ | Blues4,Devils2 | RECAP | |||||||||||
2024-11-30 | @ | Flyers2,Blues4 | RECAP | |||||||||||
2024-12-03 | @ | Blues5,Jets4 (SO) | RECAP | |||||||||||
2024-12-05 | @ | Blues4,Flames2 | RECAP | |||||||||||
2024-12-07 | @ | Blues3,Oilers2 | RECAP | |||||||||||
2024-12-10 | @ | Blues1,Canucks4 | RECAP | |||||||||||
2024-12-12 | @ | Sharks3,Blues4 (SO) | RECAP | |||||||||||
2024-12-14 | @ | Blues3,Stars4 | RECAP | |||||||||||
2024-12-15 | @ | Rangers8,Blues3 | RECAP | |||||||||||
2024-12-17 | @ | Devils0,Blues4 | RECAP | |||||||||||
2024-12-19 | @ | Blues2,Lightning3 (OT) | RECAP | |||||||||||
2024-12-20 | @ | Blues1,Panthers2 | RECAP | |||||||||||
2024-12-23 | @ | Blues4,Red Wings5 (SO) | RECAP | |||||||||||
2024-12-27 | @ | Predators2,Blues5 | RECAP | |||||||||||
2024-12-29 | @ | Sabres4,Blues2 | RECAP | |||||||||||
2024-12-31 | @ | Blues5,Blackhawks4 | RECAP | |||||||||||
2025-01-03 | @ | Senators1,Blues3 | RECAP | |||||||||||
2025-01-04 | @ | Blues2,Blue Jackets3 | RECAP | |||||||||||
2025-01-07 | @ | Blues5,Wild3 | RECAP | |||||||||||
2025-01-09 | @ | Ducks3,Blues2 | RECAP | |||||||||||
2025-01-11 | @ | Blue Jackets3,Blues4 (OT) | RECAP | |||||||||||
2025-01-14 | @ | Flames1,Blues3 | RECAP | |||||||||||
2025-01-16 | @ | Flames1,Blues3 | RECAP | |||||||||||
2025-01-18 | @ | Blues6,Hockey Club1 | RECAP | |||||||||||
2025-01-20 | @ | Blues4,Golden Knights5 (OT) | RECAP | |||||||||||
2025-01-23 | @ | Golden Knights2,Blues3 | RECAP | |||||||||||
2025-01-25 | @ | Stars5,Blues4 | RECAP | |||||||||||
2025-01-27 | @ | Canucks1,Blues3 | RECAP | |||||||||||
2025-01-31 | @ | Blues5,Avalanche3 | RECAP | |||||||||||
2025-02-02 | @ | Blues4,Hockey Club6 | RECAP | |||||||||||
2025-02-04 | @ | Oilers6,Blues4 | RECAP | |||||||||||
2025-02-06 | @ | Panthers2,Blues3 | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
91,274,167$ | 2,133,333$ | 86,254,682$ | 1,745,318$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Enterprise Center | |
City | St. Louis | ||
Capacity | 19150 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 3000 | 4000 | 1150 |
Ticket Price | 135$ | 100$ | 45$ | 40$ | 205$ |
Attendance | 133149 | 124336 | 67219 | 101067 | 27419 |
Attendance PCT | 82.19% | 92.10% | 82.99% | 93.58% | 88.31% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16785 - 87.65% | 2,044,750$ | 55,208,246$ | 19150 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
91,274,167$ | 89,499,168$ | 0$ | 2,133,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
56,787,988$ | 456,628$ | 52,614,017$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
28,626,498$ | 69 | 489,494$ | 33,775,086$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,526,214$ | 86,254,682$ | 170,110,629$ | 165,226,640$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | Lien |
---|---|---|---|---|---|
Austen Swankler | 2020 | 201 | |||
Carson Pilgrim | 2024 | 184 | |||
Carter George | 2024 | 50 | ELC 2024-25 | Link | |
Dmitri Buchelnikov | 2022 | 100 | |||
Eric Alarie | 2022 | 218 | |||
Ethan Procyszyn | 2024 | 172 | |||
Felix Unger Sorum | 2023 | 63 | ELC 2024-25 | Link | |
Harrison Brunicke | 2024 | 28 | ELC 2024-25 | Link | |
Jonathan Castagna | 2023 | 183 | |||
Juraj Pekarcik | 2023 | 52 | Link | ||
Karri Aho | 2020 | 149 | |||
Lucas Pettersson | 2024 | 35 | |||
Luke Osburn | 2024 | 128 | |||
Maksim Zhukov | |||||
Marek Hejduk | 2022 | 145 | |||
Max Namestnikov | 2022 | 107 | |||
Maxim Barbashev | 2022 | 79 | |||
Maxim Strbak | 2023 | 55 | |||
Nate Schweitzer | 2020 | 211 | |||
Oliver Bonk | 2023 | 25 | ELC 2024-25 | Link | |
Pano Fimis | 2022 | 72 | |||
Ruben Rafkin | 2020 | 118 | |||
Sergei Ivanov | 2022 | 101 | |||
Tomas Mazura | 2019 | 169 | |||
Ty Henricks | 2023 | 194 | |||
Xavier Veilleux | 2024 | 140 |
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