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Full Scoreboard »» |
Nashville Predators 0-1-0, 0pts · 8th 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 | RW | 100.00 | 80 | 45 | 74 | 92 | 75 | 79 | 97 | 90 | 32 | 86 | 86 | 75 | 75 | 71 | 72 | 85 | 50 | 0 | 27 | 5,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 40 | 87 | 66 | 77 | 67 | 78 | 58 | 74 | 62 | 61 | 75 | 63 | 81 | 64 | 55 | 50 | 0 | 35 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 43 | 89 | 83 | 67 | 75 | 86 | 85 | 37 | 74 | 86 | 67 | 57 | 79 | 83 | 81 | 50 | 0 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 55 | 89 | 85 | 81 | 76 | 98 | 89 | 92 | 72 | 80 | 71 | 25 | 69 | 71 | 79 | 50 | 0 | 28 | 3,150,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 61 | 40 | 87 | 86 | 60 | 80 | 97 | 93 | 42 | 84 | 89 | 65 | 37 | 73 | 73 | 83 | 50 | 0 | 25 | 7,150,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 75 | 43 | 95 | 74 | 64 | 63 | 76 | 65 | 38 | 64 | 56 | 81 | 25 | 54 | 54 | 66 | 65 | 0 | 24 | 1,100,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 88 | 47 | 96 | 65 | 84 | 58 | 83 | 71 | 35 | 60 | 77 | 66 | 25 | 45 | 45 | 73 | 50 | 0 | 25 | 775,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 90 | 46 | 81 | 76 | 78 | 65 | 84 | 66 | 77 | 62 | 68 | 82 | 25 | 69 | 72 | 72 | 50 | 0 | 30 | 2,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 81 | 55 | 81 | 88 | 75 | 76 | 91 | 83 | 47 | 77 | 88 | 65 | 38 | 70 | 71 | 82 | 50 | 0 | 26 | 8,800,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 59 | 41 | 83 | 85 | 68 | 85 | 95 | 88 | 94 | 90 | 83 | 80 | 48 | 68 | 71 | 83 | 50 | 0 | 24 | 8,125,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 87 | 99 | 64 | 70 | 75 | 62 | 84 | 69 | 88 | 58 | 64 | 83 | 25 | 64 | 64 | 69 | 50 | 0 | 31 | 850,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 57 | 78 | 81 | 61 | 76 | 98 | 68 | 84 | 73 | 66 | 82 | 75 | 70 | 75 | 74 | 50 | 0 | 31 | 5,166,666$/2yrs | |||
![]() | 0 | D | 100.00 | 91 | 56 | 82 | 87 | 78 | 85 | 99 | 82 | 25 | 68 | 51 | 95 | 25 | 64 | 64 | 72 | 50 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 43 | 84 | 85 | 70 | 90 | 97 | 89 | 25 | 79 | 53 | 68 | 25 | 74 | 76 | 71 | 50 | 0 | 28 | 6,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 79 | 55 | 88 | 90 | 79 | 88 | 86 | 83 | 25 | 79 | 50 | 74 | 25 | 78 | 81 | 70 | 50 | 0 | 29 | 7,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 85 | 83 | 77 | 83 | 98 | 69 | 25 | 69 | 60 | 83 | 25 | 75 | 78 | 72 | 50 | 0 | 29 | 5,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 97 | 82 | 69 | 60 | 67 | 62 | 25 | 45 | 47 | 86 | 36 | 67 | 68 | 63 | 50 | 0 | 33 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 90 | 74 | 79 | 72 | 76 | 65 | 25 | 49 | 48 | 87 | 25 | 68 | 70 | 64 | 50 | 0 | 29 | 3,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 80 | 44 | 88 | 76 | 65 | 67 | 59 | 66 | 64 | 68 | 66 | 76 | 25 | 58 | 58 | 70 | 50 | 0 | 30 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 41 | 94 | 72 | 69 | 53 | 86 | 65 | 79 | 54 | 59 | 74 | 25 | 56 | 56 | 64 | 50 | 0 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 77 | 76 | 77 | 69 | 52 | 64 | 25 | 52 | 48 | 82 | 75 | 64 | 65 | 62 | 50 | 0 | 27 | 762,500$/1yrs | |||
TEAM AVERAGE | 100.00 | 78 | 49 | 85 | 80 | 73 | 73 | 85 | 75 | 50 | 68 | 66 | 77 | 38 | 67 | 68 | 72 | 51 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 64 | 64 | 65 | 83 | 65 | 62 | 75 | 65 | 73 | 64 | 78 | 71 | 72 | 67 | 50 | 0 | 35 | 1,500,000$/1yrs |
![]() | 0 | 100.00 | 78 | 77 | 76 | 72 | 78 | 78 | 69 | 80 | 77 | 78 | 95 | 68 | 70 | 77 | 50 | 0 | 31 | 3,800,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 59 | 50 | 50 | 65 | 65 | 52 | 69 | 60 | 65 | 59 | 78 | 50 | 50 | 60 | 50 | 0 | 28 | 1,800,000$/1yrs |
TEAM AVERAGE | 100.00 | 67 | 64 | 64 | 73 | 69 | 64 | 71 | 68 | 72 | 67 | 84 | 63 | 64 | 68 | 50 | 0 |
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 | 78 | 44 | 94 | 71 | 68 | 52 | 65 | 60 | 54 | 59 | 55 | 62 | 25 | 49 | 49 | 61 | 75 | 0 | 23 | 880,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 77 | 71 | 91 | 63 | 71 | 78 | 82 | 64 | 50 | 59 | 65 | 66 | 62 | 46 | 46 | 67 | 75 | 0 | 25 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 67 | 87 | 66 | 67 | 79 | 83 | 66 | 50 | 62 | 66 | 64 | 63 | 44 | 44 | 67 | 75 | 0 | 23 | 834,167$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 81 | 44 | 91 | 80 | 65 | 59 | 70 | 65 | 67 | 50 | 57 | 76 | 25 | 57 | 57 | 64 | 75 | 0 | 24 | 762,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 93 | 72 | 74 | 56 | 84 | 71 | 52 | 57 | 58 | 70 | 70 | 56 | 56 | 64 | 75 | 0 | 23 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 75 | 74 | 76 | 77 | 74 | 81 | 87 | 61 | 50 | 53 | 60 | 69 | 57 | 66 | 68 | 64 | 75 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 90 | 81 | 61 | 54 | 63 | 75 | 38 | 62 | 58 | 73 | 75 | 66 | 66 | 65 | 75 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 96 | 99 | 44 | 68 | 82 | 54 | 83 | 64 | 32 | 61 | 58 | 65 | 25 | 62 | 62 | 63 | 75 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 86 | 76 | 74 | 70 | 67 | 65 | 25 | 56 | 50 | 73 | 25 | 47 | 47 | 63 | 75 | 0 | 22 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 75 | 43 | 92 | 82 | 67 | 57 | 87 | 64 | 58 | 57 | 58 | 70 | 75 | 69 | 72 | 65 | 54 | 0 | 25 | 2,000,000$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 49 | 52 | 65 | 85 | 48 | 49 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 50 | 75 | 0 | 23 | 867,500$/2yrs | ||||||
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 | Adrian Kempe | 0 | RW | 1 | 2 | 1 | 3 | 1 | 4 | 0 | 4 | 5 | 1 | 1 | 40.00% | 0 | 14.98 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 4.00 | 0 | 0 | ||
2 | Timo Meier | 0 | RW | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 3 | 0 | 2 | 33.33% | 0 | 14.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 1 | 0 | 0 | 4.07 | 0 | 0 | ||
3 | Nicholas Paul | 0 | C/LW | 1 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 1 | 4 | 0 | 0.00% | 1 | 15.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 1.28 | 0 | 0 | ||
4 | Chad Ruhwedel | 0 | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 0 | 1 | 0 | 0.00% | 1 | 12.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.63 | 0 | 0 | ||
5 | Nick Bonino | 0 | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 1 | 9.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
6 | Kyle Palmieri | 0 | LW/RW | 1 | 0 | 0 | 0 | -3 | 2 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 20.55 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Moritz Seider | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 1 | 0 | 0.00% | 3 | 25.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Joshua Morrissey | 0 | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 1 | 26.12 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Clayton Keller | 0 | RW | 1 | 0 | 0 | 0 | -3 | 2 | 0 | 1 | 1 | 3 | 1 | 0.00% | 0 | 18.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Rafael Harvey-Pinard | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Justin Brazeau | 0 | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 7.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Morgan Rielly | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 1 | 1 | 0.00% | 0 | 24.08 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Sean Kuraly | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 14.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Brady Skjei | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 0 | 19.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Robert Thomas | 0 | C/RW | 1 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 6 | 2 | 0 | 0.00% | 1 | 21.90 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 58.06% | 31 | 2 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Sam Carrick | 0 | C/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 2 | 0 | 1 | 0.00% | 1 | 13.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 40.00% | 10 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Carson Soucy | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 12.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Yanni Gourde | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.00% | 0 | 10.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 3 | 5 | 8 | -15 | 12 | 0 | 25 | 28 | 14 | 11 | 10.71% | 10 | 16.00 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 47 | 0 | 0 | 53.97% | 63 | 4 | 7 | 0 | 0 | 0.56 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie 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 | James Reimer | 1 | 0 | 0 | 0 | 0.909 | 2.67 | 45 | 0 | 0 | 2 | 22 | 12 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 | |
2 | Petr Mrazek | 1 | 0 | 1 | 0 | 0.667 | 17.14 | 14 | 0 | 0 | 4 | 12 | 5 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 2 | 0 | 1 | 0 | 0.824 | 6.00 | 60 | 0 | 0 | 6 | 34 | 17 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 25 |
Neutral Zone Start | 19 |
Defensive Zone Start | 19 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 34 |
Faceoffs Lost | 29 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 3 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 1 |
---|---|
PP Goal | 0 |
PK Attempt | 6 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 34.0 |
Goals For | 3.0 |
Goals Against | 6.0 |
Hits | 25.0 |
Shots Blocked | 10.0 |
Pim | 12.0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Brady Skjei ![]() | D | 29 | 5,250,000$ | 5,250,000$ | |||||||
Carson Soucy ![]() | D | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | |||||
Chad Ruhwedel ![]() | D | 33 | 800,000$ | 800,000$ | |||||||
Clayton Keller ![]() | RW | 25 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | |||
Eric Comrie ![]() | G | 28 | 1,800,000$ | 1,800,000$ | |||||||
Haydn Fleury ![]() | D | 27 | 762,500$ | 762,500$ | |||||||
James Reimer ![]() | G | 35 | 1,500,000$ | 1,500,000$ | |||||||
Joshua Morrissey ![]() | D | 28 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||
Justin Brazeau ![]() | RW | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
Justin Danforth ![]() | C/RW | 30 | 975,000$ | 975,000$ | |||||||
Kyle Palmieri ![]() | LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Mitchell Stephens ![]() | C | 26 | 775,000$ | 775,000$ | |||||||
Morgan Rielly ![]() | D | 29 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | |
Moritz Seider ![]() | D | 22 | 863,333$ | 863,333$ | |||||||
Nicholas Paul ![]() | C/LW | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | ||
Nick Bonino ![]() | C/LW | 35 | 800,000$ | 800,000$ | |||||||
Petr Mrazek ![]() | G | 31 | 3,800,000$ | 3,800,000$ | |||||||
Rafael Harvey-Pinard ![]() | RW | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Robert Thomas ![]() | C/RW | 24 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ |
Sam Carrick ![]() | C/RW | 31 | 850,000$ | 850,000$ | |||||||
Sean Kuraly ![]() | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Timo Meier ![]() | RW | 26 | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ |
Yanni Gourde ![]() | C/LW/RW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ |
Forward Lines | |||||||
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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 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 14 | 8 | 6 | 0 | 34 | 10 | 12 | 25 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 12 | 25 | 48.00% | 11 | 19 | 57.89% | 11 | 19 | 57.89% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 10.7% | 82.4% | 93.1 | FUN |
Puck Time | |
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Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 25 |
Neutral Zone Start | 19 |
Defensive Zone Start | 19 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 34 |
Faceoffs Lost | 29 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 3 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 1 |
---|---|
PP Goal | 0 |
PK Attempt | 6 |
PK Goal Against | 0 |
Home | |
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Shots For | 28.0 |
Shots Against | 34.0 |
Goals For | 3.0 |
Goals Against | 6.0 |
Hits | 25.0 |
Shots Blocked | 10.0 |
Pim | 12.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-02 | @ | Predators3,Avalanche6 | RECAP | ||
2024-10-04 | @ | ||||
2024-10-06 | @ | ||||
2024-10-08 | @ | ||||
2024-10-10 | @ | ||||
2024-10-12 | @ | ||||
2024-10-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,442,499$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Bridgestone Arena | |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,442,499$ | 82,442,499$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | -662,613,860$ | -662,613,860$ |
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 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 2024 | |||||
Aatos Koivu | 2024 | 66 | |||
Alex Jefferies | 2020 | 128 | |||
Amir Miftakhov | 2020 | 190 | |||
Andre Gasseau | 2021 | 208 | |||
Andrei Loshko | 2023 | 116 | |||
Ben King | 2022 | 81 | |||
Brett Hyland | 2023 | 180 | |||
Brian Elliott | Link | ||||
Charlie Forslund | 2024 | 194 | |||
Chase Clark | 2021 | 176 | |||
Christian Wolanin | Link | ||||
Clark Bishop | Link | ||||
Colten Ellis | 2019 | 70 | |||
Corey Tropp | |||||
Curtis Hall | 2018 | 127 | |||
Danila Klimovich | 2021 | 48 | |||
Daylan Kuefler | 2022 | 176 | |||
Denver Barkey | 2023 | 79 | |||
Dmitry Gamzin | 2024 | 98 | |||
Ethan Phillips | 2019 | 101 | |||
Fedor Svechkov | 2021 | 16 | |||
Gavin White | 2022 | 112 | |||
Gracyn Sawchyn | 2023 | 52 | |||
Ivan Demidov | 2024 | 2 | |||
Ivan Zhigalov | 2022 | 208 | |||
Jack Bar | 2021 | 80 | |||
Jared Davidson | 2022 | 144 | |||
Jesse Kiiskinen | 2023 | 84 | |||
Joona Saarelainen | 2024 | 162 | |||
Jordan Dumais | 2022 | 80 | |||
Lane Pederson | Link | ||||
Logan Brown | Link | ||||
Luca Cagnoni | 2023 | 93 | |||
Marek Vanacker | 2024 | 34 | |||
Mark Borowiecki | Link | ||||
Matvey Petrov | 2021 | 144 | |||
Matyas Sapovaliv | 2022 | 48 | |||
Maxim Groshev | 2020 | 97 | |||
Maxime Lagace | Link | ||||
Philippe Daoust | 2020 | 159 | |||
Ryan Dzingel | Link | ||||
Slater Koekkoek | Link | ||||
Talyn Boyko | 2021 | 79 | |||
Tomas Mrsic | 2024 | 130 | |||
Victor Stjernborg | 2021 | 112 | |||
Will Bitten | Link | ||||
Zaccharya Wisdom | 2023 | 212 |
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