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Full Scoreboard »» |
St. Louis Blues 9-14-1, 19pts · 14th in WESTERN CONFERENCE |
# | Player | POS | CON | HT | WT | Age | DOB | POB | Contract | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C/LW | 100% | 6' 2" | 207 | 32 | May 19, 1992 | $6,975,000/4yrs | 93 | 84 | 56 | 96 | 80 | 71 | 82 | 97 | 85 | 99 | 89 | 93 | 84 | 99 | 99 | 35 | 33 | 86 | |
0 | ![]() | C/W | 100% | 6' 1" | 185 | 29 | Jan 22, 1996 | $3,250,000/5yrs | 64 | 54 | 82 | 92 | 71 | 71 | 76 | 90 | 80 | 87 | 83 | 74 | 78 | 99 | 99 | 52 | 45 | 79 | |
0 | ![]() | C/W | 100% | 6' 3" | 220 | 27 | Feb 11, 1998 | $3,950,000/1yrs | 91 | 90 | 59 | 90 | 86 | 78 | 86 | 91 | 86 | 80 | 81 | 86 | 74 | 74 | 74 | 64 | 45 | 79 | |
0 | ![]() | LW/RW | 100% | 6' 1" | 198 | 27 | Jul 10, 1997 | $6,280,000/5yrs | 57 | 35 | 96 | 88 | 76 | 95 | 87 | 91 | 20 | 88 | 85 | 85 | 52 | 83 | 83 | 61 | 45 | 79 | |
0 | ![]() | C/W | 100% | 5' 11" | 197 | 31 | Mar 14, 1994 | $3,950,000/3yrs | 52 | 37 | 95 | 92 | 73 | 80 | 81 | 86 | 80 | 81 | 84 | 78 | 74 | 99 | 99 | 44 | 45 | 78 | |
0 | ![]() | C/RW | 100% | 5' 11" | 185 | 32 | Nov 11, 1992 | $5,500,000/4yrs | 93 | 88 | 64 | 84 | 69 | 88 | 70 | 79 | 94 | 73 | 88 | 87 | 25 | 93 | 92 | 33 | 38 | 77 | |
0 | ![]() | LW/RW | 100% | 6' 2" | 200 | 30 | Feb 24, 1995 | $3,650,000/4yrs | 76 | 58 | 79 | 82 | 77 | 90 | 64 | 87 | 33 | 84 | 91 | 75 | 25 | 91 | 90 | 44 | 45 | 77 | |
0 | ![]() | C/LW | 100% | 5' 11" | 160 | 26 | Feb 06, 1999 | $2,250,000/4yrs | 44 | 36 | 98 | 94 | 59 | 86 | 95 | 86 | 66 | 84 | 78 | 75 | 67 | 70 | 66 | 60 | 45 | 75 | |
0 | ![]() | C/RW | 100% | 6' 2" | 193 | 25 | Feb 04, 2000 | $950,000/1yrs | 52 | 49 | 93 | 90 | 75 | 74 | 85 | 85 | 71 | 81 | 81 | 80 | 71 | 66 | 64 | 76 | 45 | 75 | |
0 | ![]() | LW/RW | 100% | 6' 0" | 190 | 28 | Aug 05, 1996 | $1,800,000/3yrs | 92 | 87 | 56 | 78 | 72 | 81 | 70 | 81 | 75 | 74 | 72 | 80 | 64 | 96 | 96 | 54 | 45 | 74 | |
0 | ![]() | LW/RW | 100% | 6' 3" | 211 | 28 | Apr 27, 1996 | $2,500,000/3yrs | 54 | 32 | 96 | 86 | 83 | 76 | 77 | 82 | 25 | 69 | 74 | 76 | 74 | 98 | 94 | 57 | 47 | 73 | |
0 | ![]() | C/RW | 100% | 6' 0" | 192 | 33 | May 27, 1991 | $1,800,000/3yrs | 52 | 31 | 98 | 78 | 72 | 67 | 79 | 82 | 82 | 71 | 73 | 84 | 71 | 99 | 99 | 27 | 45 | 73 | |
0 | ![]() | D | 100% | 6' 2" | 206 | 26 | Sep 18, 1998 | $4,000,000/2yrs | 74 | 60 | 71 | 94 | 80 | 79 | 87 | 92 | 25 | 87 | 82 | 72 | 30 | 82 | 82 | 60 | 45 | 78 | |
0 | ![]() | D | 100% | 6' 3" | 210 | 31 | Dec 21, 1993 | $4,000,000/5yrs | 73 | 31 | 89 | 86 | 82 | 81 | 80 | 81 | 25 | 68 | 57 | 85 | 63 | 99 | 99 | 41 | 45 | 77 | |
0 | ![]() | D | 100% | 6' 2" | 207 | 31 | Mar 24, 1994 | $3,000,000/1yrs | 88 | 76 | 61 | 79 | 80 | 74 | 75 | 90 | 25 | 85 | 74 | 79 | 56 | 99 | 99 | 44 | 45 | 77 | |
0 | ![]() | D | 100% | 6' 4" | 207 | 28 | Jul 08, 1996 | $2,250,000/3yrs | 59 | 21 | 95 | 82 | 82 | 79 | 75 | 84 | 25 | 79 | 73 | 88 | 59 | 99 | 97 | 54 | 45 | 77 | |
0 | ![]() | D | 100% | 6' 5" | 210 | 25 | Jan 21, 2000 | $925,000/1yrs | 86 | 47 | 86 | 84 | 85 | 85 | 98 | 77 | 25 | 68 | 51 | 89 | 75 | 68 | 68 | 71 | 45 | 77 | |
0 | ![]() | D | 100% | 6' 3" | 219 | 36 | Sep 24, 1988 | $1,500,000/3yrs | 83 | 36 | 82 | 79 | 86 | 81 | 83 | 75 | 24 | 55 | 51 | 86 | 60 | 99 | 99 | 1 | 23 | 76 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | C/W | 98% | 5' 9" | 174 | 24 | Aug 11, 2000 | $1,200,000/1yrs | 44 | 36 | 98 | 92 | 63 | 75 | 80 | 83 | 64 | 79 | 79 | 74 | 69 | 68 | 68 | 76 | 19 | 73 | |
0 | ![]() | C | 100% | 6' 4" | 226 | 26 | Mar 11, 1999 | $1,750,000/1yrs | 87 | 87 | 52 | 85 | 90 | 77 | 95 | 77 | 67 | 68 | 78 | 72 | 72 | 76 | 76 | 61 | 26 | 73 | |
0 | ![]() | D | 100% | 5' 10" | 181 | 29 | Dec 03, 1995 | $4,500,000/1yrs | 59 | 29 | 94 | 83 | 66 | 81 | 77 | 85 | 25 | 76 | 72 | 79 | 59 | 97 | 99 | 53 | 45 | 75 |
# | Goalie | Pos | Condition | HT | WT | Age | DOB | POB | Contract | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | G | 100% | 6' 1" | 197 | 29 | Dec 30, 1995 | $1,600,000/5yrs | 86 | 90 | 87 | 75 | 83 | 96 | 96 | 96 | 96 | 80 | 78 | 78 | 78 | 62 | 51 | 86 | |
0 | ![]() | G | 97% | 6' 2" | 200 | 37 | Mar 15, 1988 | $1,200,000/1yrs | 82 | 81 | 78 | 77 | 79 | 88 | 90 | 88 | 87 | 81 | 80 | 95 | 99 | 6 | 41 | 83 | |
Scratches |
General Manager | Derek Lessard |
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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 | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Evgeny Kuznetsov | 0 | C/LW | 24 | 11 | 19 | 30 | 8 | 48 | 10 | 94 | 90 | 13 | 65 | 12.22% | 3 | 17.27 | 2 | 5 | 7 | 60 | 0 | 0 | 0 | 16 | 1 | 1 | 52.36% | 573 | 0 | 0 | 0 | 0 | 1.45 | 0 | 1 | |
2 | Tyler Bertuzzi | 0 | LW/RW | 24 | 8 | 11 | 19 | 9 | 0 | 0 | 14 | 68 | 11 | 60 | 11.76% | 1 | 17.69 | 3 | 4 | 7 | 74 | 0 | 0 | 0 | 0 | 0 | 1 | 35.90% | 39 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | |
3 | Cody Ceci | 0 | D | 24 | 3 | 13 | 16 | -1 | 12 | 0 | 26 | 21 | 8 | 17 | 14.29% | 34 | 21.78 | 2 | 5 | 7 | 70 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
4 | Trent Frederic | 0 | C/LW/RW | 24 | 8 | 8 | 16 | -12 | 22 | 0 | 60 | 96 | 23 | 57 | 8.33% | 5 | 18.10 | 4 | 2 | 6 | 73 | 0 | 0 | 0 | 1 | 2 | 0 | 49.74% | 585 | 0 | 0 | 0 | 0 | 0.74 | 1 | 1 | |
5 | Frank Vatrano | 0 | C/LW/RW | 24 | 7 | 8 | 15 | 4 | 2 | 0 | 1 | 73 | 15 | 53 | 9.59% | 3 | 14.16 | 3 | 1 | 4 | 66 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 0 | 0 | 0 | 0 | 0.88 | 0 | 1 | |
6 | Kasper Bjorkqvist | 0 | LW/RW | 24 | 9 | 6 | 15 | 8 | 0 | 0 | 0 | 70 | 15 | 40 | 12.86% | 1 | 15.10 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 26.09% | 23 | 0 | 0 | 0 | 0 | 0.83 | 0 | 1 | |
7 | Robby Fabbri | 0 | C/LW/RW | 24 | 4 | 8 | 12 | -11 | 2 | 0 | 0 | 56 | 16 | 45 | 7.14% | 4 | 17.63 | 1 | 4 | 5 | 61 | 0 | 0 | 0 | 1 | 1 | 0 | 35.71% | 28 | 0 | 0 | 0 | 0 | 0.57 | 1 | 1 | |
8 | Conor Timmins | 0 | D | 24 | 3 | 9 | 12 | -2 | 15 | 5 | 35 | 37 | 7 | 20 | 8.11% | 30 | 20.60 | 2 | 3 | 5 | 68 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
9 | KAndre Miller | 0 | D | 24 | 1 | 10 | 11 | -1 | 12 | 0 | 17 | 14 | 6 | 16 | 7.14% | 29 | 20.57 | 0 | 4 | 4 | 22 | 0 | 0 | 0 | 70 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | |
10 | Justin Almeida | 0 | C/LW | 24 | 3 | 8 | 11 | -12 | 0 | 0 | 0 | 49 | 13 | 34 | 6.12% | 5 | 17.83 | 1 | 5 | 6 | 73 | 0 | 0 | 0 | 0 | 1 | 0 | 41.86% | 43 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
11 | Jean-Gabriel Pageau | 0 | C/RW | 24 | 6 | 3 | 9 | 3 | 35 | 5 | 69 | 45 | 9 | 36 | 13.33% | 3 | 14.24 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 63 | 0 | 1 | 53.63% | 509 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
12 | Haydn Fleury | 0 | D | 24 | 3 | 6 | 9 | 3 | 10 | 0 | 11 | 16 | 2 | 14 | 18.75% | 32 | 17.87 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
13 | Jake Dotchin | 0 | D | 24 | 1 | 7 | 8 | -3 | 42 | 0 | 63 | 36 | 10 | 21 | 2.78% | 33 | 21.55 | 0 | 2 | 2 | 69 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
14 | Liam Foudy | 0 | C/RW | 24 | 2 | 6 | 8 | 2 | 0 | 0 | 1 | 49 | 22 | 39 | 4.08% | 4 | 14.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 41.03% | 195 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
15 | Julius Honka | 0 | D | 19 | 1 | 6 | 7 | 3 | 4 | 0 | 17 | 17 | 9 | 12 | 5.88% | 16 | 18.42 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
16 | Chris Wagner | 0 | C/RW | 24 | 5 | 1 | 6 | 0 | 0 | 0 | 0 | 30 | 5 | 20 | 16.67% | 3 | 10.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0 | 0 | 50.68% | 221 | 0 | 0 | 0 | 1 | 0.49 | 0 | 0 | |
17 | Brendan Perlini | 0 | LW/RW | 22 | 3 | 2 | 5 | 2 | 0 | 0 | 0 | 19 | 4 | 15 | 15.79% | 1 | 7.29 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
18 | Anders Bjork | 0 | LW/RW | 24 | 1 | 4 | 5 | 0 | 12 | 0 | 35 | 19 | 3 | 14 | 5.26% | 4 | 9.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 0 | 57.89% | 19 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
19 | Karl Alzner | 0 | D | 5 | 0 | 2 | 2 | 0 | 6 | 0 | 12 | 4 | 0 | 0 | 0.00% | 2 | 16.23 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
20 | Dmitri Zavgorodny | 0 | C/LW/RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 2 | 0 | 3 | 0.00% | 0 | 5.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 432 | 79 | 137 | 216 | -2 | 222 | 20 | 455 | 811 | 191 | 581 | 9.74% | 213 | 16.35 | 18 | 35 | 53 | 713 | 0 | 0 | 0 | 595 | 9 | 3 | 49.82% | 2264 | 0 | 0 | 0 | 1 | 0.61 | 2 | 6 |
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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | James Reimer | 17 | 17 | 5 | 11 | 1 | 0.893 | 3.74 | -12.5 | 996 | 0 | 0 | 62 | 582 | 0 | 0 | 0 | 0.500 | 6 | 17 | 7 | 1 | 1 | 1 | |
2 | Igor Shesterkin | 9 | 7 | 4 | 3 | 0 | 0.905 | 3.35 | -2.7 | 448 | 0 | 0 | 25 | 262 | 0 | 0 | 1 | 0.000 | 0 | 7 | 17 | 0 | 0 | 1 | |
Team Total or Average | 26 | 24 | 9 | 14 | 1 | 0.897 | 3.61 | 1445 | 0 | 0 | 87 | 844 | 0 | 0 | 1 | 0.500 | 6 | 24 | 24 | 1 | 1 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 10 | 11 | 10 | 0 | 41 | 13 | 12 | 22 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 23 | 16 | 25 | 7 | 10 | 5 | 50.0% | 6.5% | 92.7% | 99.1 | DULL | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 2 | 46 | 18 | 11 | 15 | 8 | 38 | 4 | 21 | 21 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 31 | 23 | 20 | 7 | 13 | 7 | 28.6% | 8.7% | 86.8% | 95.5 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 6 | 11 | 4 | 0 | 52 | 15 | 17 | 14 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 14 | 26 | 7 | 11 | 5 | 50.0% | 9.5% | 94.2% | 103.8 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 9 | 12 | 13 | 0 | 31 | 4 | 10 | 18 | 3 | 1 | 33.33% | 5 | 3 | 40.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 14 | 25 | 7 | 12 | 5 | 50.0% | 5.9% | 87.1% | 93.0 | Unlucky | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 4 | 7 | 1 | 0 | 114 | 35 | 34 | 45 | 0 | 101 | 24 | 20 | 52 | 14 | 3 | 21.43% | 10 | 2 | 80.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 77 | 55 | 64 | 21 | 37 | 18 | 56.3% | 10.5% | 91.1% | 101.6 | Unlucky | |
6 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 57 | 14 | 25 | 14 | 4 | 63 | 16 | 10 | 35 | 7 | 1 | 14.29% | 4 | 2 | 50.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 45 | 31 | 51 | 16 | 26 | 12 | 50.0% | 10.5% | 88.9% | 99.4 | FUN | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 64 | 24 | 19 | 21 | 0 | 62 | 10 | 20 | 34 | 7 | 2 | 28.57% | 10 | 4 | 60.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 47 | 33 | 46 | 14 | 25 | 11 | 37.5% | 7.8% | 85.5% | 93.3 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 57 | 20 | 18 | 19 | 0 | 82 | 24 | 31 | 22 | 5 | 1 | 20.00% | 11 | 1 | 90.91% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 44 | 30 | 51 | 14 | 24 | 11 | 40.0% | 8.8% | 91.5% | 100.2 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 37 | 12 | 12 | 13 | 0 | 39 | 13 | 12 | 26 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 24 | 15 | 22 | 7 | 13 | 6 | 55.6% | 13.5% | 82.1% | 95.6 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 40 | 15 | 9 | 16 | 0 | 30 | 4 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 23 | 16 | 23 | 7 | 13 | 6 | 85.7% | 15.0% | 96.7% | 111.7 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 1 | 1 | 0 | 28 | 11 | 6 | 11 | 0 | 53 | 15 | 12 | 15 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 16 | 25 | 6 | 12 | 5 | 50.0% | 14.3% | 88.7% | 103.0 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 69 | 26 | 19 | 24 | 0 | 75 | 16 | 14 | 38 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 50 | 35 | 46 | 14 | 23 | 11 | 37.5% | 7.2% | 93.3% | 100.6 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 6 | 0 | 1 | 0 | 58 | 22 | 22 | 14 | 0 | 66 | 19 | 12 | 47 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 48 | 34 | 46 | 13 | 25 | 13 | 54.5% | 12.1% | 87.9% | 99.9 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 45 | 11 | 22 | 12 | 0 | 35 | 6 | 11 | 24 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 25 | 18 | 21 | 6 | 12 | 6 | 66.7% | 15.6% | 88.6% | 104.1 | FUN | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 13 | 11 | 8 | 0 | 20 | 7 | 4 | 24 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 23 | 15 | 22 | 7 | 13 | 7 | 66.7% | 12.5% | 95.0% | 107.5 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 41 | 12 | 15 | 14 | 0 | 33 | 16 | 8 | 22 | 4 | 1 | 25.00% | 4 | 3 | 25.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 15 | 26 | 7 | 11 | 5 | 0.0% | 2.4% | 81.8% | 84.3 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 37 | 12 | 16 | 9 | 0 | 24 | 7 | 4 | 19 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 28 | 20 | 18 | 7 | 12 | 7 | 33.3% | 5.4% | 83.3% | 88.7 | Unlucky | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 18 | -2 | 2 | 0.250 | 16 | 27 | 43 | 0 | 0 | 7 | 4 | 5 | 0 | 150 | 45 | 61 | 44 | 0 | 139 | 39 | 39 | 91 | 13 | 1 | 7.69% | 17 | 5 | 70.59% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 101 | 70 | 88 | 28 | 49 | 25 | 53.6% | 10.7% | 87.1% | 97.7 | FUN | |
_Since Last GM Reset | 24 | 8 | 14 | 0 | 1 | 0 | 0 | 1 | 79 | 89 | -10 | 19 | 0.396 | 79 | 137 | 216 | 1 | 0 | 29 | 22 | 27 | 3 | 811 | 270 | 273 | 262 | 12 | 845 | 213 | 222 | 455 | 86 | 18 | 20.93% | 93 | 27 | 70.97% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 582 | 409 | 566 | 174 | 299 | 148 | 49.6% | 9.7% | 89.5% | 99.2 | FUN | |
Total | 24 | 8 | 14 | 0 | 1 | 0 | 0 | 1 | 79 | 89 | -10 | 19 | 0.396 | 79 | 137 | 216 | 1 | 0 | 29 | 22 | 27 | 3 | 811 | 270 | 273 | 262 | 12 | 845 | 213 | 222 | 455 | 86 | 18 | 20.93% | 93 | 27 | 70.97% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 582 | 409 | 566 | 174 | 299 | 148 | 49.6% | 9.7% | 89.5% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 936 |
Neutral Zone Start | 404 |
Defensive Zone Start | 915 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1128 |
Faceoffs Lost | 1127 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 33.5 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 60 |
---|---|
PP Goal | 18 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 5 | 4 |
Lost | 7 | 7 |
Overtime Lost | 1 | 0 |
PP Attempt | 86 |
---|---|
PP Goal | 18 |
PK Attempt | 93 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 33.8 |
Shots Against | 35.2 |
Goals For | 3.3 |
Goals Against | 3.7 |
Hits | 19.0 |
Shots Blocked | 8.9 |
Pim | 9.3 |
![]() | |
Projected Total Cap Hit | $71,537,000 |
Projected Cap Space | $11,963,000 |
Retains And Buyout Cap Hit | $2,757,000 |
Players In Salary Cap | 23 |
Contracts | 50/55 |
LTIR Players | 0 |
Prospect Count | 12 |
Blues Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork | LW/RW | 28 | $1,800,000 | $1,800,000 | $1,800,000 | |||||
Brendan Perlini | LW/RW | 28 | $2,500,000 | $2,500,000 | $2,500,000 | |||||
Chris Wagner | C/RW | 33 | $1,800,000 | $1,800,000 | $1,800,000 | |||||
Cody Ceci | D | 31 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | $4,000,000 | |||
Conor Timmins | D | 26 | $4,000,000 | $4,000,000 | ||||||
Dmitri Zavgorodny | C/LW/RW | 24 | $1,200,000 | |||||||
Evgeny Kuznetsov | C/LW | 32 | $6,975,000 | $6,975,000 | $6,975,000 | $6,975,000 | ||||
Frank Vatrano | C/LW/RW | 31 | $3,950,000 | $3,950,000 | $3,950,000 | |||||
Haydn Fleury | D | 28 | $2,250,000 | $2,250,000 | $2,250,000 | |||||
Igor Shesterkin | G | 29 | $1,600,000 | $1,600,000 | $1,600,000 | $1,600,000 | $1,600,000 | |||
Jake Dotchin | D | 31 | $3,000,000 | |||||||
James Reimer | G | 37 | $1,200,000 | |||||||
Jean-Gabriel Pageau | C/RW | 32 | $5,500,000 | $5,500,000 | $5,500,000 | $5,500,000 | ||||
Julius Honka | D | 29 | $4,500,000 | |||||||
Justin Almeida | C/LW | 26 | $2,250,000 | $2,250,000 | $2,250,000 | $2,250,000 | ||||
KAndre Miller | D | 25 | $925,000 | |||||||
Karl Alzner | D | 36 | $1,500,000 | $1,500,000 | $1,500,000 | |||||
Kasper Bjorkqvist | LW/RW | 27 | $6,280,000 | $6,280,000 | $6,280,000 | $6,280,000 | $6,280,000 | |||
Liam Foudy | C/RW | 25 | $950,000 | |||||||
Mark Kastelic | C | 26 | $1,750,000 | |||||||
Robby Fabbri | C/LW/RW | 29 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | $3,250,000 | |||
Trent Frederic | C/LW/RW | 27 | $3,950,000 | |||||||
Tyler Bertuzzi | LW/RW | 30 | $3,650,000 | $3,650,000 | $3,650,000 | $3,650,000 |
Blues Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Aleksei Kolosov | G | 23 | $925,000 | $925,000 | $925,000 | |||||
Andrei Mironov | D | 30 | $1,000,000 | $1,000,000 | ||||||
Andy Welinski | D | 31 | $1,200,000 | |||||||
Ben Gallacher | D | 32 | $1,100,000 | |||||||
Bobby Brink | RW | 23 | $1,137,500 | $1,137,500 | $1,137,500 | |||||
Brett Connolly | LW/RW | 32 | $1,400,000 | |||||||
Carl Grundstrom | LW | 27 | $800,000 | $800,000 | ||||||
Dennis Rasmussen | C/LW | 34 | $1,500,000 | |||||||
Henri Kiviaho | G | 31 | $700,000 | $700,000 | ||||||
Hunter Warner | D | 29 | $1,200,000 | |||||||
Jared Davidson | C | 22 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | |||
Josh Jooris | C/RW | 34 | $1,200,000 | $1,200,000 | $1,200,000 | |||||
Lukas Bengtsson | D | 31 | $1,100,000 | |||||||
Mason Shaw | C | 26 | $925,000 | |||||||
Matt Martin | LW/RW | 35 | $900,000 | |||||||
Nicolas Aube-Kubel | LW/RW | 28 | $700,000 | $700,000 | ||||||
Niko Mikkola | D | 28 | $2,000,000 | $2,000,000 | $2,000,000 | $2,000,000 | ||||
Oskar Sundqvist | C/RW | 31 | $1,200,000 | $1,500,000 | $1,500,000 | |||||
Pavel Francouz | G | 34 | $1,200,000 | |||||||
Pierre Engvall | C/LW | 28 | $1,000,000 | |||||||
Rafael Harvey Pinard | LW | 26 | $1,000,000 | $1,000,000 | $1,000,000 | |||||
Rinat Valiev | D | 29 | $1,500,000 | $1,500,000 | ||||||
Ryan Gropp | LW | 28 | $1,200,000 | |||||||
Scott Laughton | C | 30 | $1,100,000 | $1,100,000 | $1,100,000 | |||||
Sean Durzi | D | 26 | $1,100,000 | $1,100,000 | $1,100,000 | |||||
Sebastian Aho (D) | D | 29 | $900,000 | $900,000 | $900,000 | |||||
Zach Whitecloud | D | 28 | $990,000 | $990,000 |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 10 | 11 | 10 | 0 | 41 | 13 | 12 | 22 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 23 | 16 | 25 | 7 | 10 | 5 | 50.0% | 6.5% | 92.7% | 99.1 | DULL | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 2 | 46 | 18 | 11 | 15 | 8 | 38 | 4 | 21 | 21 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 31 | 23 | 20 | 7 | 13 | 7 | 28.6% | 8.7% | 86.8% | 95.5 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 6 | 11 | 4 | 0 | 52 | 15 | 17 | 14 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 14 | 26 | 7 | 11 | 5 | 50.0% | 9.5% | 94.2% | 103.8 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 9 | 12 | 13 | 0 | 31 | 4 | 10 | 18 | 3 | 1 | 33.33% | 5 | 3 | 40.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 14 | 25 | 7 | 12 | 5 | 50.0% | 5.9% | 87.1% | 93.0 | Unlucky | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 4 | 7 | 1 | 0 | 114 | 35 | 34 | 45 | 0 | 101 | 24 | 20 | 52 | 14 | 3 | 21.43% | 10 | 2 | 80.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 77 | 55 | 64 | 21 | 37 | 18 | 56.3% | 10.5% | 91.1% | 101.6 | Unlucky | |
6 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 57 | 14 | 25 | 14 | 4 | 63 | 16 | 10 | 35 | 7 | 1 | 14.29% | 4 | 2 | 50.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 45 | 31 | 51 | 16 | 26 | 12 | 50.0% | 10.5% | 88.9% | 99.4 | FUN | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 64 | 24 | 19 | 21 | 0 | 62 | 10 | 20 | 34 | 7 | 2 | 28.57% | 10 | 4 | 60.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 47 | 33 | 46 | 14 | 25 | 11 | 37.5% | 7.8% | 85.5% | 93.3 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 57 | 20 | 18 | 19 | 0 | 82 | 24 | 31 | 22 | 5 | 1 | 20.00% | 11 | 1 | 90.91% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 44 | 30 | 51 | 14 | 24 | 11 | 40.0% | 8.8% | 91.5% | 100.2 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 37 | 12 | 12 | 13 | 0 | 39 | 13 | 12 | 26 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 24 | 15 | 22 | 7 | 13 | 6 | 55.6% | 13.5% | 82.1% | 95.6 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 40 | 15 | 9 | 16 | 0 | 30 | 4 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 23 | 16 | 23 | 7 | 13 | 6 | 85.7% | 15.0% | 96.7% | 111.7 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 1 | 1 | 0 | 28 | 11 | 6 | 11 | 0 | 53 | 15 | 12 | 15 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 16 | 25 | 6 | 12 | 5 | 50.0% | 14.3% | 88.7% | 103.0 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 69 | 26 | 19 | 24 | 0 | 75 | 16 | 14 | 38 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 50 | 35 | 46 | 14 | 23 | 11 | 37.5% | 7.2% | 93.3% | 100.6 | DULL | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 6 | 0 | 1 | 0 | 58 | 22 | 22 | 14 | 0 | 66 | 19 | 12 | 47 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 48 | 34 | 46 | 13 | 25 | 13 | 54.5% | 12.1% | 87.9% | 99.9 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 45 | 11 | 22 | 12 | 0 | 35 | 6 | 11 | 24 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 25 | 18 | 21 | 6 | 12 | 6 | 66.7% | 15.6% | 88.6% | 104.1 | FUN | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 13 | 11 | 8 | 0 | 20 | 7 | 4 | 24 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 23 | 15 | 22 | 7 | 13 | 7 | 66.7% | 12.5% | 95.0% | 107.5 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 41 | 12 | 15 | 14 | 0 | 33 | 16 | 8 | 22 | 4 | 1 | 25.00% | 4 | 3 | 25.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 22 | 15 | 26 | 7 | 11 | 5 | 0.0% | 2.4% | 81.8% | 84.3 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 37 | 12 | 16 | 9 | 0 | 24 | 7 | 4 | 19 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 28 | 20 | 18 | 7 | 12 | 7 | 33.3% | 5.4% | 83.3% | 88.7 | Unlucky | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 18 | -2 | 2 | 0.250 | 16 | 27 | 43 | 0 | 0 | 7 | 4 | 5 | 0 | 150 | 45 | 61 | 44 | 0 | 139 | 39 | 39 | 91 | 13 | 1 | 7.69% | 17 | 5 | 70.59% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 101 | 70 | 88 | 28 | 49 | 25 | 53.6% | 10.7% | 87.1% | 97.7 | FUN | |
_Since Last GM Reset | 24 | 8 | 14 | 0 | 1 | 0 | 0 | 1 | 79 | 89 | -10 | 19 | 0.396 | 79 | 137 | 216 | 1 | 0 | 29 | 22 | 27 | 3 | 811 | 270 | 273 | 262 | 12 | 845 | 213 | 222 | 455 | 86 | 18 | 20.93% | 93 | 27 | 70.97% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 582 | 409 | 566 | 174 | 299 | 148 | 49.6% | 9.7% | 89.5% | 99.2 | FUN | |
Total | 24 | 8 | 14 | 0 | 1 | 0 | 0 | 1 | 79 | 89 | -10 | 19 | 0.396 | 79 | 137 | 216 | 1 | 0 | 29 | 22 | 27 | 3 | 811 | 270 | 273 | 262 | 12 | 845 | 213 | 222 | 455 | 86 | 18 | 20.93% | 93 | 27 | 70.97% | 0 | 475 | 936 | 50.75% | 447 | 915 | 48.85% | 206 | 404 | 50.99% | 582 | 409 | 566 | 174 | 299 | 148 | 49.6% | 9.7% | 89.5% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 936 |
Neutral Zone Start | 404 |
Defensive Zone Start | 915 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1128 |
Faceoffs Lost | 1127 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 33.5 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 60 |
---|---|
PP Goal | 18 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 5 | 4 |
Lost | 7 | 7 |
Overtime Lost | 1 | 0 |
PP Attempt | 86 |
---|---|
PP Goal | 18 |
PK Attempt | 93 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 33.8 |
Shots Against | 35.2 |
Goals For | 3.3 |
Goals Against | 3.7 |
Hits | 19.0 |
Shots Blocked | 8.9 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Mar 22 | @ | CBJ3,STL5 | RECAP | |||||||||||
Mon, Mar 24 | @ | STL1,BUF3 | RECAP | |||||||||||
Wed, Mar 26 | @ | NYI2,STL5 | RECAP | |||||||||||
Fri, Mar 28 | @ | STL2,NJD3 | RECAP | |||||||||||
Sun, Mar 30 | @ | NYI4,STL3 | RECAP | |||||||||||
Tue, Apr 1 | @ | STL6,TBL1 | RECAP | |||||||||||
Thu, Apr 3 | @ | NYI3,STL4 | RECAP | |||||||||||
Fri, Apr 4 | @ | STL4,TOR1 | RECAP | |||||||||||
Mon, Apr 7 | @ | STL3,HAR2 (OT) | RECAP | |||||||||||
Wed, Apr 9 | @ | STL5,LAK7 | RECAP | |||||||||||
Thu, Apr 10 | @ | BOS6,STL4 | RECAP | |||||||||||
Sun, Apr 13 | @ | WSH2,STL3 | RECAP | |||||||||||
Wed, Apr 16 | @ | OTT4,STL2 | RECAP | |||||||||||
Fri, Apr 18 | @ | STL1,PIT6 | RECAP | |||||||||||
Sun, Apr 20 | @ | PHI5,STL4 (SO) | RECAP | |||||||||||
Tue, Apr 22 | @ | STL3,DET4 | RECAP | |||||||||||
Fri, Apr 25 | @ | CGY3,STL2 | RECAP | |||||||||||
Tue, Apr 29 | @ | STL2,CBJ5 | RECAP | |||||||||||
Wed, Apr 30 | @ | ANA4,STL7 | RECAP | |||||||||||
Sun, May 4 | @ | DET5,STL2 | RECAP | |||||||||||
Tue, May 6 | @ | STL3,HAR5 | RECAP | |||||||||||
Thu, May 8 | @ | VGK4,STL2 | RECAP | |||||||||||
Sat, May 10 | @ | STL4,BUF2 | RECAP | |||||||||||
Mon, May 12 | @ | WSH5,STL2 | RECAP | |||||||||||
Wed, May 14 | @ | |||||||||||||
Fri, May 16 | @ | |||||||||||||
Sat, May 17 | @ | |||||||||||||
Tue, May 20 | @ | |||||||||||||
Thu, May 22 | @ | |||||||||||||
Sat, May 24 | @ | |||||||||||||
Mon, May 26 | @ | |||||||||||||
Thu, May 29 | @ | |||||||||||||
Sat, May 31 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
68,780,000$ | 2,757,000$ | 71,537,000$ | 11,963,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Scottrade Center | |
City | St. Louis | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 63132 | 58624 | 20778 | 43060 | 10728 |
Attendance PCT | 80.94% | 81.99% | 79.92% | 82.81% | 82.52% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 15102 - 81.63% | 1,627,888$ | 21,162,545$ | 18500 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
68,780,000$ | 68,780,000$ | 0$ | 2,757,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
19,977,231$ | 68,780,000$ | 19,977,231$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,580,866$ | 134 | 363,915$ | 48,764,610$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
50,851,422$ | 71,537,000$ | 40,730,245$ | 40,372,948$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 |
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16 | ![]() | ![]() | |
17 | ![]() | ![]() | ![]() ![]() |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
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 |
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Arttu Karki | 13 | 43 | |||
Blake Biondi | 8 | 87 | |||
Cam Squires | 13 | 40 | |||
Connor Hvidston | 12 | 45 | |||
Jack Matier | 10 | 74 | |||
Joey Keane | 3 | 72 | |||
Karl Henriksson | 2021 | 59 | |||
Leon Muggli | 15 | 58 | |||
Marek Alscher | 12 | 74 | |||
Noah Ostlund | 11 | 20 | |||
Ronan Seeley | |||||
Tyler Weiss | 4 | 74 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
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16 | ![]() | ![]() | |
17 | ![]() | ![]() | ![]() ![]() |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
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 |
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Arttu Karki | 13 | 43 | |||
Blake Biondi | 8 | 87 | |||
Cam Squires | 13 | 40 | |||
Connor Hvidston | 12 | 45 | |||
Jack Matier | 10 | 74 | |||
Joey Keane | 3 | 72 | |||
Karl Henriksson | 2021 | 59 | |||
Leon Muggli | 15 | 58 | |||
Marek Alscher | 12 | 74 | |||
Noah Ostlund | 11 | 20 | |||
Ronan Seeley | |||||
Tyler Weiss | 4 | 74 |
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