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Full Scoreboard »» |
Nashville Predators 32-20-8, 72pts · 6th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 79 | 44 | 78 | 74 | 93 | 83 | 88 | 73 | 78 | 71 | 77 | 79 | 74 | 75 | 73 | 67 | 50 | 72 | 27 | 7,142,857$/7yrs | |||
![]() | 0 | RW | 100.00 | 87 | 40 | 72 | 78 | 76 | 83 | 89 | 77 | 58 | 76 | 76 | 64 | 78 | 67 | 66 | 84 | 50 | 71 | 22 | 6,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 40 | 85 | 67 | 76 | 83 | 90 | 66 | 82 | 75 | 65 | 81 | 66 | 71 | 68 | 67 | 50 | 69 | 25 | 2,937,500$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 47 | 71 | 74 | 64 | 76 | 89 | 73 | 75 | 72 | 64 | 76 | 73 | 77 | 74 | 36 | 50 | 69 | 27 | 5,166,666$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 54 | 38 | 81 | 78 | 64 | 81 | 89 | 77 | 53 | 76 | 72 | 58 | 78 | 63 | 64 | 87 | 50 | 68 | 21 | 885,833$/1yrs | |||
![]() | 0 | C | 100.00 | 52 | 39 | 85 | 77 | 70 | 81 | 89 | 76 | 73 | 79 | 65 | 64 | 75 | 67 | 66 | 80 | 50 | 68 | 23 | 5,850,000$/7yrs | |||
![]() | 0 | C | 100.00 | 61 | 43 | 86 | 64 | 74 | 76 | 88 | 62 | 80 | 66 | 63 | 89 | 62 | 85 | 75 | 25 | 50 | 68 | 34 | 1,800,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 39 | 86 | 72 | 74 | 77 | 85 | 71 | 73 | 79 | 65 | 59 | 72 | 61 | 64 | 82 | 50 | 66 | 20 | 894,166$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 45 | 80 | 76 | 72 | 77 | 85 | 73 | 56 | 74 | 63 | 59 | 73 | 75 | 65 | 46 | 50 | 66 | 27 | 3,375,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 74 | 37 | 85 | 70 | 61 | 77 | 62 | 64 | 56 | 63 | 61 | 79 | 70 | 79 | 76 | 38 | 50 | 65 | 30 | 3,400,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 40 | 86 | 63 | 77 | 72 | 83 | 61 | 76 | 62 | 59 | 78 | 61 | 79 | 72 | 64 | 50 | 65 | 30 | 2,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 40 | 78 | 64 | 75 | 77 | 76 | 62 | 54 | 61 | 61 | 78 | 62 | 71 | 66 | 42 | 50 | 65 | 25 | 1,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 81 | 45 | 76 | 73 | 85 | 87 | 86 | 72 | 30 | 74 | 69 | 81 | 56 | 71 | 67 | 76 | 50 | 73 | 25 | 5,250,000$/2yrs | |||
![]() | 0 | D | 99.00 | 99 | 47 | 61 | 67 | 81 | 83 | 72 | 65 | 30 | 73 | 70 | 86 | 54 | 79 | 73 | 42 | 50 | 73 | 30 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 42 | 88 | 61 | 84 | 87 | 83 | 59 | 30 | 72 | 53 | 87 | 48 | 89 | 79 | 33 | 50 | 71 | 38 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 43 | 84 | 67 | 91 | 80 | 74 | 66 | 30 | 69 | 70 | 79 | 56 | 71 | 67 | 54 | 50 | 70 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 41 | 73 | 63 | 82 | 85 | 68 | 62 | 30 | 67 | 57 | 79 | 46 | 75 | 68 | 62 | 50 | 68 | 27 | 1,375,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 41 | 65 | 64 | 79 | 82 | 61 | 63 | 30 | 73 | 54 | 74 | 49 | 71 | 67 | 82 | 50 | 66 | 25 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 86 | 42 | 78 | 65 | 83 | 74 | 88 | 64 | 76 | 70 | 60 | 75 | 62 | 73 | 67 | 49 | 50 | 67 | 26 | 1,275,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 73 | 48 | 61 | 66 | 84 | 75 | 76 | 68 | 53 | 72 | 60 | 59 | 68 | 85 | 75 | 41 | 50 | 65 | 34 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 56 | 39 | 89 | 62 | 70 | 68 | 63 | 59 | 53 | 61 | 58 | 56 | 59 | 73 | 67 | 38 | 50 | 58 | 26 | 925,000$/1yrs | |||
TEAM AVERAGE | 99.90 | 72 | 42 | 78 | 69 | 77 | 79 | 80 | 67 | 56 | 71 | 64 | 73 | 64 | 74 | 69 | 57 | 50 | 68 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 92 | 95 | 93 | 77 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 86 | 90 | 49 | 50 | 86 | 34 | 7,000,000$/3yrs |
![]() | 0 | 100.00 | 84 | 83 | 81 | 82 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 85 | 89 | 52 | 50 | 80 | 34 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 78 | 67 | 65 | 87 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 71 | 75 | 62 | 53 | 74 | 25 | 850,000$/2yrs |
TEAM AVERAGE | 100.00 | 85 | 82 | 80 | 82 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 81 | 85 | 54 | 51 | 80 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 73 | 44 | 81 | 74 | 81 | 83 | 88 | 72 | 76 | 73 | 66 | 67 | 74 | 67 | 66 | 77 | 60 | 68 | 23 | 2,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 80 | 43 | 86 | 73 | 74 | 78 | 85 | 71 | 76 | 73 | 70 | 64 | 72 | 67 | 68 | 79 | 60 | 68 | 23 | 1,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 80 | 45 | 86 | 67 | 87 | 79 | 80 | 65 | 77 | 68 | 63 | 66 | 64 | 69 | 66 | 59 | 60 | 65 | 24 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 39 | 84 | 68 | 70 | 73 | 86 | 67 | 72 | 69 | 62 | 64 | 68 | 63 | 67 | 86 | 60 | 64 | 21 | 885,833$/1yrs | |||
![]() | 0 | LW | 100.00 | 99 | 41 | 78 | 67 | 81 | 73 | 62 | 66 | 53 | 65 | 65 | 59 | 64 | 67 | 65 | 51 | 60 | 63 | 23 | 850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 52 | 79 | 65 | 96 | 72 | 76 | 63 | 78 | 67 | 59 | 64 | 65 | 63 | 62 | 85 | 67 | 63 | 21 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 71 | 64 | 68 | 60 | 84 | 86 | 83 | 59 | 63 | 61 | 58 | 60 | 59 | 79 | 71 | 54 | 36 | 62 | 30 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 43 | 88 | 63 | 82 | 74 | 72 | 61 | 70 | 62 | 59 | 60 | 63 | 67 | 64 | 72 | 60 | 61 | 23 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 43 | 89 | 63 | 72 | 79 | 74 | 62 | 73 | 60 | 61 | 59 | 62 | 61 | 63 | 71 | 60 | 60 | 20 | 769,167$/3yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 86 | 61 | 72 | 75 | 74 | 60 | 76 | 58 | 59 | 62 | 60 | 65 | 63 | 77 | 60 | 60 | 22 | 833,333$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 38 | 87 | 61 | 75 | 76 | 74 | 59 | 62 | 58 | 60 | 57 | 61 | 75 | 68 | 48 | 59 | 60 | 27 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 54 | 49 | 85 | 60 | 72 | 87 | 89 | 58 | 55 | 56 | 59 | 54 | 58 | 65 | 63 | 64 | 60 | 59 | 22 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 45 | 86 | 56 | 69 | 79 | 78 | 55 | 61 | 53 | 54 | 52 | 56 | 65 | 63 | 66 | 60 | 56 | 22 | 728,333$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 42 | 89 | 68 | 85 | 75 | 64 | 66 | 30 | 74 | 65 | 69 | 54 | 67 | 64 | 85 | 60 | 66 | 23 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 39 | 85 | 63 | 71 | 77 | 68 | 62 | 30 | 66 | 58 | 69 | 53 | 78 | 69 | 36 | 36 | 65 | 29 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 89 | 61 | 87 | 79 | 76 | 59 | 30 | 60 | 58 | 62 | 49 | 78 | 68 | 46 | 36 | 63 | 29 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 39 | 88 | 61 | 69 | 85 | 62 | 59 | 30 | 64 | 54 | 68 | 46 | 73 | 67 | 42 | 36 | 62 | 26 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 46 | 84 | 61 | 77 | 79 | 66 | 59 | 30 | 60 | 57 | 65 | 48 | 63 | 62 | 64 | 60 | 62 | 21 | 733,333$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 39 | 88 | 60 | 72 | 81 | 78 | 59 | 30 | 57 | 58 | 61 | 49 | 73 | 67 | 54 | 36 | 61 | 26 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 45 | 87 | 60 | 81 | 84 | 74 | 58 | 30 | 57 | 57 | 59 | 46 | 61 | 63 | 74 | 60 | 61 | 19 | 805,833$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 41 | 87 | 59 | 77 | 74 | 64 | 58 | 30 | 55 | 57 | 59 | 45 | 69 | 65 | 58 | 60 | 59 | 24 | 900,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Andrew Beer |
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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 | Nick Schmaltz | 0 | C | 60 | 25 | 39 | 64 | -3 | 8 | 0 | 61 | 213 | 59 | 110 | 11.74% | 25 | 20.92 | 14 | 20 | 34 | 179 | 0 | 0 | 0 | 10 | 4 | 2 | 47.86% | 1705 | 55 | 19 | 1 | 0 | 1.02 | 0 | 3 | ||
2 | Timo Meier | 0 | RW | 60 | 22 | 37 | 59 | -2 | 48 | 0 | 117 | 223 | 86 | 156 | 9.87% | 30 | 20.61 | 11 | 21 | 32 | 179 | 0 | 0 | 0 | 0 | 7 | 1 | 41.30% | 92 | 65 | 26 | 0 | 1 | 0.95 | 7 | 13 | ||
3 | Ryan Dzingel | 0 | C/LW | 60 | 20 | 30 | 50 | -2 | 30 | 10 | 84 | 146 | 39 | 84 | 13.70% | 30 | 19.92 | 11 | 15 | 26 | 174 | 0 | 0 | 0 | 10 | 5 | 0 | 35.63% | 87 | 37 | 17 | 0 | 0 | 0.84 | 0 | 0 | ||
4 | Clayton Keller | 0 | LW/RW | 60 | 16 | 17 | 33 | -6 | 10 | 0 | 58 | 186 | 50 | 110 | 8.60% | 18 | 17.52 | 7 | 9 | 16 | 140 | 0 | 1 | 1 | 70 | 1 | 0 | 40.00% | 75 | 42 | 11 | 0 | 0 | 0.63 | 2 | 4 | ||
5 | Kevin Hayes | 0 | C | 60 | 12 | 20 | 32 | -6 | 24 | 0 | 97 | 136 | 42 | 86 | 8.82% | 23 | 16.22 | 6 | 10 | 16 | 137 | 0 | 0 | 0 | 0 | 2 | 1 | 50.00% | 712 | 32 | 14 | 0 | 0 | 0.66 | 3 | 11 | ||
6 | Robert Thomas | 0 | C/RW | 60 | 9 | 21 | 30 | -6 | 4 | 0 | 47 | 122 | 34 | 65 | 7.38% | 20 | 16.19 | 4 | 11 | 15 | 137 | 0 | 0 | 0 | 0 | 3 | 0 | 52.63% | 38 | 28 | 20 | 0 | 0 | 0.62 | 0 | 2 | ||
7 | Brady Skjei | 0 | D | 60 | 5 | 17 | 22 | -16 | 39 | 5 | 100 | 109 | 37 | 46 | 4.59% | 70 | 25.15 | 4 | 10 | 14 | 194 | 1 | 0 | 1 | 120 | 1 | 0 | 0.00% | 0 | 34 | 46 | 0 | 0 | 0.29 | 0 | 0 | ||
8 | Mark Borowiecki | 0 | D | 60 | 7 | 15 | 22 | -16 | 108 | 0 | 151 | 85 | 45 | 42 | 8.24% | 75 | 26.87 | 4 | 5 | 9 | 192 | 0 | 0 | 0 | 92 | 1 | 0 | 0.00% | 0 | 23 | 69 | 1 | 0 | 0.27 | 0 | 0 | ||
9 | Paul Byron | 0 | LW | 59 | 5 | 12 | 17 | -9 | 8 | 0 | 54 | 133 | 54 | 91 | 3.76% | 29 | 14.84 | 1 | 0 | 1 | 10 | 0 | 1 | 1 | 178 | 0 | 2 | 42.31% | 26 | 37 | 13 | 1 | 0 | 0.39 | 0 | 0 | ||
10 | Pierre-Edouard Bellemare | 0 | C | 60 | 4 | 8 | 12 | -7 | 10 | 0 | 35 | 101 | 38 | 59 | 3.96% | 25 | 14.85 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 181 | 0 | 1 | 51.78% | 676 | 15 | 19 | 0 | 0 | 0.27 | 0 | 0 | ||
11 | Slater Koekkoek | 0 | D | 60 | 3 | 6 | 9 | 0 | 36 | 0 | 91 | 36 | 18 | 15 | 8.33% | 34 | 18.07 | 3 | 3 | 6 | 125 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 7 | 34 | 0 | 0 | 0.17 | 0 | 0 | ||
12 | Ron Hainsey | 0 | D | 60 | 3 | 5 | 8 | 3 | 4 | 0 | 53 | 55 | 22 | 20 | 5.45% | 89 | 23.35 | 1 | 2 | 3 | 128 | 0 | 0 | 0 | 188 | 0 | 0 | 0.00% | 0 | 10 | 53 | 0 | 0 | 0.11 | 0 | 0 | ||
13 | Chris Tierney | 0 | C/LW | 60 | 3 | 5 | 8 | 2 | 2 | 0 | 27 | 70 | 31 | 58 | 4.29% | 10 | 9.45 | 0 | 0 | 0 | 10 | 1 | 0 | 1 | 118 | 0 | 1 | 45.89% | 146 | 17 | 9 | 0 | 0 | 0.28 | 1 | 6 | ||
14 | Zach Aston-Reese | 0 | C/RW | 59 | 4 | 3 | 7 | -8 | 26 | 0 | 52 | 77 | 20 | 39 | 5.19% | 15 | 11.08 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 15 | 6 | 11 | 0 | 0 | 0.21 | 0 | 0 | ||
15 | Yanni Gourde | 0 | C/LW | 60 | 2 | 3 | 5 | 1 | 14 | 0 | 44 | 63 | 22 | 47 | 3.17% | 5 | 6.81 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 88.89% | 9 | 15 | 4 | 0 | 0 | 0.24 | 0 | 3 | ||
16 | Riley Nash | 0 | C/RW | 60 | 1 | 1 | 2 | 1 | 2 | 0 | 45 | 26 | 3 | 14 | 3.85% | 4 | 8.23 | 0 | 0 | 0 | 7 | 0 | 1 | 1 | 64 | 0 | 1 | 30.00% | 10 | 4 | 8 | 0 | 0 | 0.08 | 0 | 0 | ||
17 | Jon Merrill | 0 | D | 60 | 0 | 1 | 1 | -3 | 36 | 0 | 37 | 28 | 11 | 13 | 0.00% | 28 | 13.40 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 5 | 19 | 0 | 0 | 0.02 | 0 | 0 | ||
18 | Corey Perry | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 2 | 1 | 0.00% | 0 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Sean Kuraly | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 1 | 0.00% | 0 | 12.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Carson Soucy | 0 | D | 60 | 0 | 0 | 0 | 1 | 6 | 0 | 56 | 61 | 22 | 32 | 0.00% | 49 | 15.86 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 182 | 0 | 0 | 0.00% | 0 | 17 | 40 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1080 | 141 | 240 | 381 | -76 | 415 | 15 | 1212 | 1877 | 637 | 1089 | 7.51% | 579 | 16.63 | 66 | 106 | 172 | 1638 | 2 | 3 | 5 | 1273 | 24 | 11 | 48.33% | 3592 | 450 | 433 | 3 | 1 | 0.42 | 13 | 42 |
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 | Marc-Andre Fleury | 46 | 23 | 18 | 5 | 0.933 | 1.90 | 2778 | 0 | 2 | 88 | 1321 | 583 | 1 | 2 | 0.850 | 40 | 46 | 14 | 9 | 7 | 6 | |
2 | Brian Elliott | 25 | 14 | 7 | 4 | 0.914 | 2.45 | 1520 | 4 | 0 | 62 | 720 | 338 | 0 | 0 | 0.600 | 10 | 25 | 31 | 3 | 2 | 1 | |
Team Total or Average | 71 | 37 | 25 | 9 | 0.927 | 2.09 | 4298 | 4 | 2 | 150 | 2041 | 921 | 1 | 2 | 0.800 | 50 | 71 | 45 | 12 | 9 | 7 |
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 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 6 | 12 | 0 | 0 | 0 | 0 | 4 | 3 | 68 | 12 | 18 | 30 | 12 | 59 | 16 | 8 | 37 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 23 | 47 | 21 | 40 | 18 | 50.0% | 8.8% | 93.2% | 102.0 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 93 | 29 | 32 | 32 | 0 | 99 | 36 | 20 | 73 | 8 | 4 | 50.00% | 10 | 3 | 70.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 58 | 32 | 67 | 27 | 54 | 27 | 28.6% | 6.5% | 91.9% | 98.4 | DULL | |
3 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 68 | 28 | 14 | 24 | 2 | 59 | 20 | 18 | 31 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 44 | 25 | 40 | 18 | 35 | 18 | 60.0% | 5.9% | 93.2% | 99.1 | DULL | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 4 | 1 | 5 | 0 | 53 | 20 | 16 | 17 | 0 | 70 | 22 | 13 | 37 | 10 | 5 | 50.00% | 4 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 39 | 21 | 46 | 18 | 33 | 17 | 62.5% | 18.9% | 95.7% | 114.6 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 58 | 20 | 16 | 22 | 0 | 72 | 26 | 16 | 42 | 7 | 3 | 42.86% | 8 | 3 | 62.50% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 41 | 23 | 44 | 17 | 34 | 16 | 28.6% | 8.6% | 88.9% | 97.5 | Unlucky | |
6 | 4 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 11 | 5 | 6 | 8 | 1.000 | 11 | 16 | 27 | 0 | 0 | 0 | 4 | 5 | 3 | 120 | 33 | 37 | 45 | 11 | 122 | 41 | 24 | 77 | 14 | 3 | 21.43% | 12 | 0 | 100.00% | 1 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 87 | 48 | 89 | 38 | 73 | 37 | 61.5% | 9.2% | 95.9% | 105.1 | LUCKY | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 24 | 19 | 7 | 0 | 54 | 25 | 20 | 43 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 41 | 23 | 42 | 19 | 35 | 16 | 25.0% | 4.0% | 87.0% | 91.0 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 28 | 10 | 7 | 11 | 0 | 33 | 7 | 8 | 23 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 19 | 10 | 22 | 9 | 17 | 8 | 0.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 68 | 17 | 27 | 24 | 0 | 46 | 21 | 12 | 43 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 26 | 38 | 17 | 35 | 18 | 50.0% | 5.9% | 91.3% | 97.2 | DULL | |
10 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 5 | 1 | 5 | 0.833 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 3 | 106 | 27 | 52 | 27 | 7 | 85 | 25 | 16 | 59 | 9 | 3 | 33.33% | 8 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 69 | 42 | 63 | 28 | 57 | 27 | 37.5% | 5.7% | 94.1% | 99.8 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 10 | 18 | 10 | 4 | 26 | 10 | 4 | 23 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 24 | 13 | 20 | 10 | 19 | 10 | 25.0% | 5.0% | 88.5% | 93.5 | Unlucky | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 55 | 19 | 18 | 18 | 5 | 59 | 22 | 14 | 36 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 22 | 46 | 19 | 36 | 17 | 28.6% | 5.5% | 89.8% | 95.3 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 62 | 21 | 20 | 21 | 0 | 41 | 19 | 10 | 49 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 26 | 39 | 16 | 34 | 18 | 100.0% | 3.2% | 95.1% | 98.3 | DULL | |
14 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.500 | 6 | 10 | 16 | 0 | 0 | 0 | 4 | 2 | 0 | 87 | 21 | 35 | 31 | 0 | 83 | 27 | 26 | 66 | 6 | 2 | 33.33% | 13 | 2 | 84.62% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 64 | 36 | 60 | 27 | 55 | 26 | 57.1% | 6.9% | 94.0% | 100.9 | DULL | |
15 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 0 | 1 | 3 | 2 | 60 | 21 | 15 | 19 | 8 | 51 | 16 | 18 | 53 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 47 | 26 | 40 | 21 | 40 | 19 | 62.5% | 10.0% | 92.2% | 102.2 | LUCKY | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 61 | 24 | 19 | 18 | 0 | 63 | 23 | 14 | 35 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 25 | 42 | 17 | 35 | 16 | 57.1% | 8.2% | 93.7% | 101.8 | DULL | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 85 | 22 | 33 | 30 | 0 | 89 | 22 | 26 | 58 | 13 | 3 | 23.08% | 8 | 2 | 75.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 62 | 36 | 61 | 27 | 55 | 26 | 50.0% | 8.2% | 93.3% | 101.5 | DULL | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 2 | 2 | 1 | 68 | 19 | 25 | 22 | 4 | 45 | 20 | 16 | 43 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 50 | 31 | 37 | 18 | 37 | 18 | 100.0% | 7.4% | 97.8% | 105.1 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 69 | 16 | 33 | 20 | 0 | 65 | 17 | 14 | 31 | 12 | 3 | 25.00% | 7 | 4 | 42.86% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 28 | 41 | 18 | 32 | 16 | 20.0% | 5.8% | 87.7% | 93.5 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 74 | 25 | 19 | 30 | 0 | 54 | 24 | 14 | 38 | 7 | 3 | 42.86% | 7 | 4 | 42.86% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 44 | 26 | 40 | 18 | 35 | 17 | 50.0% | 9.5% | 85.2% | 94.6 | FUN | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 30 | 8 | 16 | 6 | 0 | 32 | 7 | 6 | 20 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 20 | 11 | 22 | 9 | 16 | 8 | 50.0% | 10.0% | 96.9% | 106.9 | LUCKY | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 4 | 0 | 0 | 66 | 18 | 31 | 17 | 0 | 56 | 18 | 16 | 45 | 8 | 3 | 37.50% | 8 | 3 | 62.50% | 1 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 23 | 40 | 18 | 36 | 17 | 100.0% | 7.6% | 94.6% | 102.2 | DULL | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 62 | 17 | 21 | 24 | 0 | 62 | 21 | 8 | 33 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 43 | 25 | 41 | 18 | 34 | 16 | 38.5% | 9.7% | 87.1% | 96.8 | FUN | |
24 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 10 | 7 | 3 | 6 | 0.750 | 10 | 15 | 25 | 0 | 0 | 4 | 6 | 0 | 1 | 119 | 38 | 43 | 33 | 11 | 105 | 29 | 26 | 70 | 23 | 8 | 34.78% | 12 | 2 | 83.33% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 92 | 50 | 79 | 38 | 77 | 41 | 28.6% | 8.4% | 93.3% | 101.7 | DULL | |
25 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 1 | 60 | 22 | 18 | 19 | 5 | 56 | 21 | 12 | 46 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 26 | 43 | 18 | 35 | 18 | 33.3% | 6.7% | 89.3% | 96.0 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 4 | 3 | 0 | 56 | 13 | 23 | 19 | 4 | 58 | 16 | 16 | 49 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 44 | 23 | 42 | 20 | 38 | 19 | 45.5% | 14.3% | 87.9% | 102.2 | FUN | |
27 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 1 | 4 | 6 | 0 | 111 | 24 | 45 | 42 | 0 | 71 | 28 | 24 | 52 | 16 | 7 | 43.75% | 12 | 1 | 91.67% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 67 | 39 | 59 | 29 | 53 | 24 | 44.4% | 9.9% | 91.5% | 101.5 | LUCKY | |
_Vs Division | 16 | 6 | 4 | 0 | 0 | 2 | 2 | 2 | 38 | 34 | 4 | 20 | 0.625 | 38 | 60 | 98 | 1 | 0 | 6 | 18 | 12 | 4 | 483 | 146 | 159 | 168 | 27 | 456 | 150 | 112 | 310 | 59 | 18 | 30.51% | 55 | 10 | 81.82% | 1 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 350 | 194 | 339 | 151 | 295 | 149 | 45.5% | 7.9% | 92.5% | 100.4 | DULL | |
_Vs Conference | 36 | 15 | 8 | 0 | 2 | 3 | 4 | 4 | 91 | 77 | 14 | 49 | 0.681 | 91 | 144 | 235 | 1 | 0 | 16 | 40 | 29 | 10 | 1128 | 328 | 404 | 378 | 48 | 1024 | 331 | 266 | 730 | 139 | 43 | 30.94% | 127 | 23 | 81.89% | 2 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 787 | 443 | 754 | 344 | 667 | 329 | 47.1% | 8.1% | 92.5% | 100.5 | DULL | |
_Since Last GM Reset | 60 | 22 | 20 | 0 | 2 | 3 | 8 | 5 | 149 | 136 | 13 | 72 | 0.600 | 149 | 240 | 389 | 1 | 2 | 30 | 56 | 53 | 15 | 1877 | 558 | 670 | 618 | 73 | 1715 | 579 | 419 | 1212 | 226 | 66 | 29.20% | 200 | 41 | 79.50% | 2 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 1316 | 749 | 1263 | 566 | 1094 | 541 | 46.6% | 7.9% | 92.1% | 100.0 | DULL | |
Total | 60 | 22 | 20 | 0 | 2 | 3 | 8 | 5 | 149 | 136 | 13 | 72 | 0.600 | 149 | 240 | 389 | 1 | 2 | 30 | 56 | 53 | 15 | 1877 | 558 | 670 | 618 | 73 | 1715 | 579 | 419 | 1212 | 226 | 66 | 29.20% | 200 | 41 | 79.50% | 2 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 1316 | 749 | 1263 | 566 | 1094 | 541 | 46.6% | 7.9% | 92.1% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1456 |
Neutral Zone Start | 772 |
Defensive Zone Start | 1364 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1736 |
Faceoffs Lost | 1856 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 20.5 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 80 |
---|---|
PP Goal | 66 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 16 |
Lost | 10 | 10 |
Overtime Lost | 3 | 5 |
PP Attempt | 226 |
---|---|
PP Goal | 66 |
PK Attempt | 200 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 28.6 |
Goals For | 2.5 |
Goals Against | 2.3 |
Hits | 20.2 |
Shots Blocked | 9.7 |
Pim | 7.0 |
Projected Total Cap Hit | 67,752,022$ |
Projected Cap Space | 13,747,978$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 51,405,845$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brady Skjei ![]() | D | 25 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Brian Elliott ![]() | G | 34 | 2,000,000$ | 2,000,000$ | |||||||
Carson Soucy ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Chris Driedger ![]() | G | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Chris Tierney ![]() | C/LW | 25 | 2,937,500$ | 2,937,500$ | |||||||
Clayton Keller ![]() | LW/RW | 21 | 885,833$ | 885,833$ | |||||||
Corey Perry ![]() | RW | 34 | 1,500,000$ | 1,500,000$ | |||||||
Joakim Nygard ![]() | LW | 26 | 925,000$ | 925,000$ | |||||||
Jon Merrill ![]() | D | 27 | 1,375,000$ | 1,375,000$ | |||||||
Kevin Hayes ![]() | C | 27 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | |
Marc-Andre Fleury ![]() | G | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Mark Borowiecki ![]() | D | 30 | 1,200,000$ | 1,200,000$ | |||||||
Nick Schmaltz ![]() | C | 23 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | |
Paul Byron ![]() | LW | 30 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | ||||
Pierre-Edouard Bellemare ![]() | C | 34 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Riley Nash ![]() | C/RW | 30 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Robert Thomas ![]() | C/RW | 20 | 894,166$ | 894,166$ | 894,166$ | ||||||
Ron Hainsey ![]() | D | 38 | 3,500,000$ | 3,500,000$ | |||||||
Ryan Dzingel ![]() | C/LW | 27 | 3,375,000$ | 3,375,000$ | 3,375,000$ | ||||||
Sean Kuraly ![]() | C | 26 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Slater Koekkoek ![]() | D | 25 | 925,000$ | 925,000$ | |||||||
Timo Meier ![]() | RW | 22 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Yanni Gourde ![]() | C/LW | 27 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | ||
Zach Aston-Reese ![]() | C/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ |
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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 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 6 | 12 | 0 | 0 | 0 | 0 | 4 | 3 | 68 | 12 | 18 | 30 | 12 | 59 | 16 | 8 | 37 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 23 | 47 | 21 | 40 | 18 | 50.0% | 8.8% | 93.2% | 102.0 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 93 | 29 | 32 | 32 | 0 | 99 | 36 | 20 | 73 | 8 | 4 | 50.00% | 10 | 3 | 70.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 58 | 32 | 67 | 27 | 54 | 27 | 28.6% | 6.5% | 91.9% | 98.4 | DULL | |
3 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 68 | 28 | 14 | 24 | 2 | 59 | 20 | 18 | 31 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 44 | 25 | 40 | 18 | 35 | 18 | 60.0% | 5.9% | 93.2% | 99.1 | DULL | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 4 | 1 | 5 | 0 | 53 | 20 | 16 | 17 | 0 | 70 | 22 | 13 | 37 | 10 | 5 | 50.00% | 4 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 39 | 21 | 46 | 18 | 33 | 17 | 62.5% | 18.9% | 95.7% | 114.6 | LUCKY | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 58 | 20 | 16 | 22 | 0 | 72 | 26 | 16 | 42 | 7 | 3 | 42.86% | 8 | 3 | 62.50% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 41 | 23 | 44 | 17 | 34 | 16 | 28.6% | 8.6% | 88.9% | 97.5 | Unlucky | |
6 | 4 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 11 | 5 | 6 | 8 | 1.000 | 11 | 16 | 27 | 0 | 0 | 0 | 4 | 5 | 3 | 120 | 33 | 37 | 45 | 11 | 122 | 41 | 24 | 77 | 14 | 3 | 21.43% | 12 | 0 | 100.00% | 1 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 87 | 48 | 89 | 38 | 73 | 37 | 61.5% | 9.2% | 95.9% | 105.1 | LUCKY | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 24 | 19 | 7 | 0 | 54 | 25 | 20 | 43 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 41 | 23 | 42 | 19 | 35 | 16 | 25.0% | 4.0% | 87.0% | 91.0 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 28 | 10 | 7 | 11 | 0 | 33 | 7 | 8 | 23 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 19 | 10 | 22 | 9 | 17 | 8 | 0.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 68 | 17 | 27 | 24 | 0 | 46 | 21 | 12 | 43 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 26 | 38 | 17 | 35 | 18 | 50.0% | 5.9% | 91.3% | 97.2 | DULL | |
10 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 5 | 1 | 5 | 0.833 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 3 | 106 | 27 | 52 | 27 | 7 | 85 | 25 | 16 | 59 | 9 | 3 | 33.33% | 8 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 69 | 42 | 63 | 28 | 57 | 27 | 37.5% | 5.7% | 94.1% | 99.8 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 10 | 18 | 10 | 4 | 26 | 10 | 4 | 23 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 24 | 13 | 20 | 10 | 19 | 10 | 25.0% | 5.0% | 88.5% | 93.5 | Unlucky | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 55 | 19 | 18 | 18 | 5 | 59 | 22 | 14 | 36 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 22 | 46 | 19 | 36 | 17 | 28.6% | 5.5% | 89.8% | 95.3 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 62 | 21 | 20 | 21 | 0 | 41 | 19 | 10 | 49 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 26 | 39 | 16 | 34 | 18 | 100.0% | 3.2% | 95.1% | 98.3 | DULL | |
14 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.500 | 6 | 10 | 16 | 0 | 0 | 0 | 4 | 2 | 0 | 87 | 21 | 35 | 31 | 0 | 83 | 27 | 26 | 66 | 6 | 2 | 33.33% | 13 | 2 | 84.62% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 64 | 36 | 60 | 27 | 55 | 26 | 57.1% | 6.9% | 94.0% | 100.9 | DULL | |
15 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 0 | 1 | 3 | 2 | 60 | 21 | 15 | 19 | 8 | 51 | 16 | 18 | 53 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 47 | 26 | 40 | 21 | 40 | 19 | 62.5% | 10.0% | 92.2% | 102.2 | LUCKY | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 61 | 24 | 19 | 18 | 0 | 63 | 23 | 14 | 35 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 25 | 42 | 17 | 35 | 16 | 57.1% | 8.2% | 93.7% | 101.8 | DULL | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 85 | 22 | 33 | 30 | 0 | 89 | 22 | 26 | 58 | 13 | 3 | 23.08% | 8 | 2 | 75.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 62 | 36 | 61 | 27 | 55 | 26 | 50.0% | 8.2% | 93.3% | 101.5 | DULL | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 2 | 2 | 1 | 68 | 19 | 25 | 22 | 4 | 45 | 20 | 16 | 43 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 50 | 31 | 37 | 18 | 37 | 18 | 100.0% | 7.4% | 97.8% | 105.1 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 69 | 16 | 33 | 20 | 0 | 65 | 17 | 14 | 31 | 12 | 3 | 25.00% | 7 | 4 | 42.86% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 28 | 41 | 18 | 32 | 16 | 20.0% | 5.8% | 87.7% | 93.5 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 3 | 0 | 74 | 25 | 19 | 30 | 0 | 54 | 24 | 14 | 38 | 7 | 3 | 42.86% | 7 | 4 | 42.86% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 44 | 26 | 40 | 18 | 35 | 17 | 50.0% | 9.5% | 85.2% | 94.6 | FUN | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 30 | 8 | 16 | 6 | 0 | 32 | 7 | 6 | 20 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 20 | 11 | 22 | 9 | 16 | 8 | 50.0% | 10.0% | 96.9% | 106.9 | LUCKY | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 4 | 0 | 0 | 66 | 18 | 31 | 17 | 0 | 56 | 18 | 16 | 45 | 8 | 3 | 37.50% | 8 | 3 | 62.50% | 1 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 42 | 23 | 40 | 18 | 36 | 17 | 100.0% | 7.6% | 94.6% | 102.2 | DULL | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 62 | 17 | 21 | 24 | 0 | 62 | 21 | 8 | 33 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 43 | 25 | 41 | 18 | 34 | 16 | 38.5% | 9.7% | 87.1% | 96.8 | FUN | |
24 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 10 | 7 | 3 | 6 | 0.750 | 10 | 15 | 25 | 0 | 0 | 4 | 6 | 0 | 1 | 119 | 38 | 43 | 33 | 11 | 105 | 29 | 26 | 70 | 23 | 8 | 34.78% | 12 | 2 | 83.33% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 92 | 50 | 79 | 38 | 77 | 41 | 28.6% | 8.4% | 93.3% | 101.7 | DULL | |
25 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 1 | 60 | 22 | 18 | 19 | 5 | 56 | 21 | 12 | 46 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 45 | 26 | 43 | 18 | 35 | 18 | 33.3% | 6.7% | 89.3% | 96.0 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 4 | 3 | 0 | 56 | 13 | 23 | 19 | 4 | 58 | 16 | 16 | 49 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 44 | 23 | 42 | 20 | 38 | 19 | 45.5% | 14.3% | 87.9% | 102.2 | FUN | |
27 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 1 | 4 | 6 | 0 | 111 | 24 | 45 | 42 | 0 | 71 | 28 | 24 | 52 | 16 | 7 | 43.75% | 12 | 1 | 91.67% | 0 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 67 | 39 | 59 | 29 | 53 | 24 | 44.4% | 9.9% | 91.5% | 101.5 | LUCKY | |
_Vs Division | 16 | 6 | 4 | 0 | 0 | 2 | 2 | 2 | 38 | 34 | 4 | 20 | 0.625 | 38 | 60 | 98 | 1 | 0 | 6 | 18 | 12 | 4 | 483 | 146 | 159 | 168 | 27 | 456 | 150 | 112 | 310 | 59 | 18 | 30.51% | 55 | 10 | 81.82% | 1 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 350 | 194 | 339 | 151 | 295 | 149 | 45.5% | 7.9% | 92.5% | 100.4 | DULL | |
_Vs Conference | 36 | 15 | 8 | 0 | 2 | 3 | 4 | 4 | 91 | 77 | 14 | 49 | 0.681 | 91 | 144 | 235 | 1 | 0 | 16 | 40 | 29 | 10 | 1128 | 328 | 404 | 378 | 48 | 1024 | 331 | 266 | 730 | 139 | 43 | 30.94% | 127 | 23 | 81.89% | 2 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 787 | 443 | 754 | 344 | 667 | 329 | 47.1% | 8.1% | 92.5% | 100.5 | DULL | |
_Since Last GM Reset | 60 | 22 | 20 | 0 | 2 | 3 | 8 | 5 | 149 | 136 | 13 | 72 | 0.600 | 149 | 240 | 389 | 1 | 2 | 30 | 56 | 53 | 15 | 1877 | 558 | 670 | 618 | 73 | 1715 | 579 | 419 | 1212 | 226 | 66 | 29.20% | 200 | 41 | 79.50% | 2 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 1316 | 749 | 1263 | 566 | 1094 | 541 | 46.6% | 7.9% | 92.1% | 100.0 | DULL | |
Total | 60 | 22 | 20 | 0 | 2 | 3 | 8 | 5 | 149 | 136 | 13 | 72 | 0.600 | 149 | 240 | 389 | 1 | 2 | 30 | 56 | 53 | 15 | 1877 | 558 | 670 | 618 | 73 | 1715 | 579 | 419 | 1212 | 226 | 66 | 29.20% | 200 | 41 | 79.50% | 2 | 703 | 1456 | 48.28% | 670 | 1364 | 49.12% | 363 | 772 | 47.02% | 1316 | 749 | 1263 | 566 | 1094 | 541 | 46.6% | 7.9% | 92.1% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1456 |
Neutral Zone Start | 772 |
Defensive Zone Start | 1364 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1736 |
Faceoffs Lost | 1856 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 20.5 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 80 |
---|---|
PP Goal | 66 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 16 |
Lost | 10 | 10 |
Overtime Lost | 3 | 5 |
PP Attempt | 226 |
---|---|
PP Goal | 66 |
PK Attempt | 200 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 28.6 |
Goals For | 2.5 |
Goals Against | 2.3 |
Hits | 20.2 |
Shots Blocked | 9.7 |
Pim | 7.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Wild5,Predators3 | RECAP | ||
2020-10-27 | @ | Red Wings3,Predators2 | RECAP | ||
2020-10-30 | @ | Sharks1,Predators5 | RECAP | ||
2020-11-01 | @ | Capitals3,Predators1 | RECAP | ||
2020-11-03 | @ | Predators3,Kings2 | RECAP | ||
2020-11-06 | @ | Predators5,Golden Knights4 | RECAP | ||
2020-11-08 | @ | Predators2,Coyotes3 (OT) | RECAP | ||
2020-11-10 | @ | Panthers5,Predators2 | RECAP | ||
2020-11-13 | @ | Ducks3,Predators2 | RECAP | ||
2020-11-15 | @ | Wild3,Predators4 | RECAP | ||
2020-11-17 | @ | Predators1,Lightning4 | RECAP | ||
2020-11-20 | @ | Blackhawks1,Predators3 | RECAP | ||
2020-11-22 | @ | Flames3,Predators5 | RECAP | ||
2020-11-24 | @ | Rangers1,Predators2 (SO) | RECAP | ||
2020-11-26 | @ | Predators3,Red Wings5 | RECAP | ||
2020-11-29 | @ | Predators1,Avalanche3 | RECAP | ||
2020-12-01 | @ | Predators1,Sharks3 | RECAP | ||
2020-12-04 | @ | Predators2,Canucks3 (SO) | RECAP | ||
2020-12-08 | @ | Blackhawks3,Predators2 (SO) | RECAP | ||
2020-12-11 | @ | Jets2,Predators1 | RECAP | ||
2020-12-13 | @ | Canucks1,Predators2 (SO) | RECAP | ||
2020-12-15 | @ | Predators3,Blues2 (SO) | RECAP | ||
2020-12-17 | @ | Blues1,Predators3 | RECAP | ||
2020-12-19 | @ | Golden Knights1,Predators4 | RECAP | ||
2020-12-21 | @ | Predators1,Hurricanes4 | RECAP | ||
2020-12-22 | @ | Predators2,Panthers3 | RECAP | ||
2020-12-25 | @ | Lightning3,Predators1 | RECAP | ||
2020-12-29 | @ | Devils4,Predators3 | RECAP | ||
2021-01-01 | @ | Sharks2,Predators1 | RECAP | ||
2021-01-03 | @ | Predators2,Sabres3 | RECAP | ||
2021-01-05 | @ | Stars2,Predators1 (SO) | RECAP | ||
2021-01-07 | @ | Predators3,Rangers0 | RECAP | ||
2021-01-08 | @ | Predators6,Islanders1 | RECAP | ||
2021-01-10 | @ | Predators3,Senators1 | RECAP | ||
2021-01-12 | @ | Predators2,Bruins1 (SO) | RECAP | ||
2021-01-14 | @ | Coyotes1,Predators2 (OT) | RECAP | ||
2021-01-18 | @ | Penguins0,Predators1 | RECAP | ||
2021-01-19 | @ | Predators1,Penguins2 | RECAP | ||
2021-01-23 | @ | Predators2,Stars4 | RECAP | ||
2021-01-26 | @ | Predators2,Kings1 | RECAP | ||
2021-01-27 | @ | Predators3,Ducks1 | RECAP | ||
2021-01-29 | @ | Bruins3,Predators4 (SO) | RECAP | ||
2021-01-31 | @ | Predators5,Blackhawks2 | RECAP | ||
2021-02-03 | @ | Predators4,Jets1 | RECAP | ||
2021-02-05 | @ | Predators3,Oilers2 (OT) | RECAP | ||
2021-02-07 | @ | Ducks4,Predators1 | RECAP | ||
2021-02-09 | @ | Sabres1,Predators3 | RECAP | ||
2021-02-18 | @ | Maple Leafs3,Predators2 (SO) | RECAP | ||
2021-02-20 | @ | Predators3,Capitals1 | RECAP | ||
2021-02-21 | @ | Predators3,Devils4 | RECAP | ||
2021-02-23 | @ | Golden Knights1,Predators2 | RECAP | ||
2021-02-26 | @ | Predators1,Jets2 (OT) | RECAP | ||
2021-02-28 | @ | Predators3,Flames4 (SO) | RECAP | ||
2021-03-02 | @ | Predators3,Oilers2 (SO) | RECAP | ||
2021-03-04 | @ | Predators2,Canucks1 | RECAP | ||
2021-03-07 | @ | Islanders2,Predators4 | RECAP | ||
2021-03-09 | @ | Predators3,Blues1 | RECAP | ||
2021-03-10 | @ | Blues1,Predators2 (SO) | RECAP | ||
2021-03-12 | @ | Hurricanes2,Predators3 (SO) | RECAP | ||
2021-03-15 | @ | Predators0,Blackhawks1 (OT) | RECAP | ||
2021-03-16 | @ | ||||
2021-03-19 | @ | ||||
2021-03-21 | @ | ||||
2021-03-23 | @ | ||||
2021-03-25 | @ | ||||
2021-03-26 | @ | ||||
2021-03-28 | @ | ||||
2021-03-30 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-07 | @ | ||||
2021-04-11 | @ | ||||
2021-04-13 | @ | ||||
2021-04-14 | @ | ||||
2021-04-16 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-21 | @ | ||||
2021-04-24 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,752,022$ | 0$ | 67,752,022$ | 13,747,978$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Sommet Center | |
City | Nashville | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 120$ | 80$ | 50$ | 35$ | 300$ |
Attendance | 116057 | 84777 | 32404 | 67678 | 15649 |
Attendance PCT | 66.70% | 58.47% | 55.87% | 58.34% | 53.96% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
12 | 10916 - 60.64% | 516,905$ | 14,990,239$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,752,022$ | 67,752,022$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
51,405,845$ | 67,752,022$ | 51,405,845$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,202,858$ | 43 | 364,258$ | 15,663,094$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,663,094$ | 67,752,022$ | -376,164,124$ | -385,624,360$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
---|---|---|---|---|---|
1 ballo nas 2021 | |||||
2 ballo nas 2021 | |||||
Aaron Johnson | |||||
Alex Jefferies | 2020 | 128 | |||
Alexey Marchenko | |||||
Amir Miftakhov | 2020 | 190 | |||
Andong Song | |||||
Andreas Soderberg | |||||
Andrei Mironov | |||||
Andrew MacDonald | Link | ||||
Anton Andersson | |||||
Avery Peterson | |||||
Ben Lovejoy | Link | ||||
Carson McMillan | |||||
Christopher Paquette | 2016 | 160 | |||
Clarke MacArthur | |||||
Cole Koepke | 2018 | 189 | |||
Cole Perfetti | 2020 | 7 | |||
Colten Ellis | 2019 | 70 | |||
Corey Tropp | |||||
Curtis Hall | 2018 | 127 | |||
Dwight King | |||||
Erik Condra | |||||
Ethan Phillips | 2019 | 101 | |||
Evan Cormier | 2016 | 100 | |||
Gabriel Paquin-Boudreau | |||||
Giorgio Estephan | |||||
Ivan Nalimov | |||||
Jacob Golden | |||||
Jeremy Smith | |||||
Jesse Ylonen | 2018 | 34 | |||
John Piccinich | |||||
Jonathan Kovacevic | |||||
Liam O'Brien | |||||
Lukas Sedlak | Link | ||||
Magnus Chrona | 2018 | 158 | |||
Mason Lohrei | 2020 | 66 | |||
Matej Paulovic | |||||
Matthew Wedman | 2019 | 194 | |||
Maxim Groshev | 2020 | 97 | |||
Michael Latta | |||||
Michael McCarron | |||||
Mikhail Shalagin | 2019 | 163 | |||
Miles Gendron | |||||
Moritz Seider | 2019 | 9 | |||
Nail Yakupov | |||||
Nicolas Mattinen | 2016 | 190 | |||
Nikita Alexandrov | 2019 | 66 | |||
Nikita Nikitin | |||||
Philippe Cornet | |||||
Philippe Daoust | 2020 | 159 | |||
Santeri Virtanen | |||||
Scott Kosmachuk | |||||
Shakir Mukhamadullin | 2020 | 35 | |||
Steve Oleksy | |||||
Taylor Beck | |||||
Tomas Vincour | |||||
Tyler Randell | |||||
Tyler Steenbergen | |||||
Victor Bartley | |||||
Vladislav Kara | |||||
jerome samson | |||||
joey laleggia | |||||
jonatan nielsen | |||||
paul szczechura |
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