object(SQLite3Result)#20 (0) {
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Full Scoreboard »» |
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Full Scoreboard »» |
![]() | Nashville Predators 1-7-1, 3pts · 16th in Western Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 99.00 | 63 | 45 | 80 | 93 | 73 | 88 | 95 | 84 | 79 | 96 | 94 | 78 | 88 | 73 | 90 | 0 | 82 | 26 | 11,200,000$/1yrs | |||||
![]() | C | 99.00 | 62 | 48 | 71 | 80 | 83 | 75 | 72 | 80 | 57 | 68 | 65 | 67 | 68 | 55 | 56 | 0 | 68 | 22 | 1,250,000$/1yrs | |||||
![]() | C | 99.00 | 62 | 45 | 92 | 75 | 62 | 70 | 80 | 63 | 59 | 67 | 70 | 72 | 66 | 49 | 49 | 0 | 66 | 21 | 1,100,000$/2yrs | |||||
![]() | LW/RW | 99.00 | 79 | 55 | 71 | 79 | 67 | 63 | 73 | 54 | 48 | 59 | 61 | 68 | 66 | 66 | 63 | 0 | 63 | 31 | 2,660,000$/1yrs | |||||
![]() | C/RW | 99.00 | 76 | 45 | 72 | 71 | 73 | 62 | 69 | 52 | 81 | 57 | 58 | 72 | 58 | 69 | 63 | 0 | 63 | 33 | 5,500,000$/2yrs | |||||
![]() | LW/RW | 99.00 | 55 | 49 | 55 | 77 | 65 | 64 | 59 | 66 | 48 | 58 | 63 | 59 | 62 | 77 | 84 | 0 | 62 | 31 | 1,100,000$/1yrs | |||||
![]() | LW/RW | 99.00 | 61 | 45 | 69 | 82 | 72 | 64 | 54 | 63 | 48 | 58 | 65 | 54 | 65 | 64 | 61 | 0 | 62 | 27 | 1,100,000$/2yrs | |||||
![]() | LW | 99.00 | 69 | 47 | 80 | 74 | 79 | 62 | 78 | 62 | 48 | 53 | 55 | 69 | 56 | 71 | 66 | 0 | 62 | 30 | 1,100,000$/1yrs | |||||
![]() | LW | 100.00 | 52 | 45 | 80 | 62 | 61 | 68 | 68 | 53 | 48 | 79 | 62 | 69 | 67 | 49 | 49 | 0 | 62 | 23 | 1,100,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 82 | 80 | 49 | 72 | 82 | 52 | 67 | 48 | 49 | 48 | 54 | 68 | 54 | 71 | 66 | 0 | 60 | 31 | 1,050,000$/1yrs | |||||
![]() | C/RW | 99.00 | 74 | 47 | 58 | 74 | 77 | 58 | 59 | 51 | 75 | 54 | 53 | 66 | 53 | 61 | 60 | 0 | 60 | 25 | 750,000$/2yrs | |||||
![]() | D | 99.00 | 58 | 45 | 83 | 85 | 84 | 87 | 78 | 81 | 46 | 71 | 65 | 75 | 71 | 87 | 90 | 0 | 73 | 33 | 11,000,000$/1yrs | |||||
![]() | D | 97.87 | 59 | 46 | 72 | 81 | 82 | 86 | 73 | 73 | 46 | 67 | 63 | 79 | 65 | 65 | 62 | 0 | 71 | 25 | 6,250,000$/2yrs | |||||
![]() | D | 99.00 | 68 | 45 | 67 | 83 | 69 | 74 | 82 | 62 | 46 | 51 | 50 | 76 | 49 | 60 | 58 | 0 | 65 | 25 | 2,250,000$/2yrs | |||||
![]() | D | 99.00 | 53 | 45 | 58 | 67 | 79 | 67 | 76 | 61 | 46 | 61 | 50 | 68 | 50 | 51 | 53 | 0 | 61 | 25 | 1,250,000$/3yrs | |||||
![]() | D | 100.00 | 46 | 45 | 87 | 69 | 74 | 69 | 69 | 45 | 45 | 45 | 45 | 73 | 45 | 72 | 67 | 0 | 58 | 31 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 47 | 45 | 90 | 62 | 66 | 63 | 48 | 46 | 45 | 45 | 52 | 67 | 51 | 86 | 77 | 0 | 57 | 36 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 62 | 45 | 55 | 68 | 74 | 60 | 54 | 49 | 46 | 47 | 48 | 52 | 47 | 74 | 92 | 0 | 55 | 36 | 750,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C/LW | 100.00 | 53 | 45 | 64 | 59 | 70 | 58 | 64 | 47 | 61 | 54 | 55 | 56 | 56 | 99 | 85 | 0 | 56 | 39 | 750,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 56 | 45 | 55 | 72 | 63 | 50 | 47 | 48 | 47 | 52 | 47 | 48 | 47 | 61 | 60 | 0 | 53 | 29 | 750,000$/1yrs | |||||
TEAM AVERAGE | 99.29 | 62 | 48 | 70 | 74 | 73 | 67 | 68 | 59 | 53 | 60 | 59 | 67 | 59 | 68 | 68 | 0 | 63 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 92 | 81 | 56 | 87 | 81 | 94 | 94 | 88 | 86 | 94 | 74 | 74 | 0 | 83 | 28 | 4,000,000$/1yrs | |
![]() | 0 | 98.00 | 76 | 74 | 75 | 75 | 77 | 78 | 63 | 74 | 80 | 88 | 89 | 96 | 96 | 0 | 75 | 37 | 4,790,000$/2yrs | |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 61 | 55 | 55 | 57 | 69 | 55 | 63 | 55 | 57 | 70 | 55 | 76 | 78 | 0 | 60 | 35 | 750,000$/1yrs | |
TEAM AVERAGE | 99.33 | 75 | 74 | 70 | 63 | 78 | 71 | 73 | 74 | 75 | 81 | 79 | 82 | 83 | 0 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Boo |
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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 | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kirby Dach | ![]() | 0 | C | 9 | 4 | 5 | 9 | 0 | 4 | 0 | 23 | 39 | 9 | 25 | 10.26% | 5 | 18.81 | 0 | 2 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 44.19% | 129 | 4 | 6 | 0 | 0 | 1.06 | 0 | 0 |
2 | John Carlson | ![]() | 0 | D | 9 | 2 | 6 | 8 | -1 | 17 | 5 | 9 | 31 | 23 | 11 | 6.45% | 16 | 23.46 | 2 | 1 | 3 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 6 | 9 | 0 | 0 | 0.76 | 0 | 0 |
3 | Jakub Vrana | ![]() | 0 | LW/RW | 9 | 2 | 4 | 6 | -2 | 2 | 0 | 15 | 18 | 3 | 12 | 11.11% | 2 | 17.08 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 8 | 9 | 3 | 0 | 0 | 0.78 | 0 | 0 |
4 | Brendan Gallagher | ![]() | 0 | LW/RW | 9 | 2 | 3 | 5 | -2 | 9 | 5 | 17 | 16 | 6 | 16 | 12.50% | 3 | 16.96 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 9 | 2 | 2 | 0 | 0 | 0.66 | 0 | 0 |
5 | Connor McDavid | ![]() | 0 | C | 9 | 1 | 4 | 5 | -5 | 17 | 5 | 21 | 41 | 7 | 20 | 2.44% | 3 | 21.26 | 0 | 2 | 2 | 0 | 0 | 0 | 15 | 0 | 0 | 60.20% | 196 | 7 | 4 | 0 | 0 | 0.52 | 0 | 0 |
6 | Jakob Chychrun | ![]() | 0 | D | 9 | 1 | 4 | 5 | -2 | 7 | 5 | 12 | 19 | 8 | 2 | 5.26% | 15 | 20.02 | 1 | 2 | 3 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 2 | 10 | 0 | 0 | 0.55 | 0 | 0 |
7 | Nic Dowd | ![]() | 0 | C/RW | 9 | 3 | 2 | 5 | -1 | 12 | 10 | 13 | 19 | 3 | 9 | 15.79% | 4 | 17.21 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 45.45% | 11 | 4 | 0 | 0 | 0 | 0.65 | 0 | 0 |
8 | Brandon Tanev | ![]() | 0 | LW/RW | 9 | 0 | 2 | 2 | -1 | 10 | 0 | 28 | 26 | 4 | 19 | 0.00% | 8 | 18.18 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 15.38% | 13 | 3 | 2 | 0 | 0 | 0.24 | 0 | 0 |
9 | Matias Maccelli | ![]() | 0 | LW | 9 | 2 | 0 | 2 | -2 | 2 | 0 | 3 | 6 | 2 | 6 | 33.33% | 0 | 8.06 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 4 | 0 | 4 | 0 | 0 | 0.55 | 0 | 0 |
10 | Matthew Beniers | ![]() | 0 | C | 9 | 2 | 0 | 2 | -3 | 5 | 5 | 20 | 30 | 7 | 11 | 6.67% | 3 | 17.06 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 42.41% | 158 | 4 | 2 | 0 | 0 | 0.26 | 0 | 0 |
11 | Jimmy Vesey | ![]() | 0 | LW | 9 | 1 | 0 | 1 | -4 | 11 | 5 | 20 | 17 | 4 | 10 | 5.88% | 1 | 15.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 5 | 3 | 0 | 0 | 0.14 | 0 | 0 |
12 | Juuso Valimaki | ![]() | 0 | D | 9 | 0 | 1 | 1 | -3 | 15 | 15 | 8 | 3 | 1 | 1 | 0.00% | 10 | 19.50 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.11 | 0 | 0 |
13 | Mark Pysyk | ![]() | 0 | D | 9 | 0 | 1 | 1 | -5 | 7 | 5 | 4 | 8 | 5 | 2 | 0.00% | 8 | 17.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.13 | 0 | 0 |
14 | Austin Watson | ![]() | 0 | C/LW/RW | 9 | 0 | 0 | 0 | -3 | 0 | 0 | 16 | 5 | 1 | 2 | 0.00% | 0 | 7.35 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 38.10% | 21 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
15 | Brett Howden | ![]() | 0 | C/RW | 9 | 0 | 0 | 0 | -4 | 4 | 0 | 31 | 11 | 3 | 4 | 0.00% | 6 | 15.71 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 45.45% | 11 | 2 | 2 | 0 | 0 | 0.00 | 0 | 0 |
16 | Dante Fabbro | ![]() | 0 | D | 9 | 0 | 0 | 0 | -2 | 4 | 0 | 15 | 7 | 3 | 7 | 0.00% | 8 | 19.85 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 5 | 3 | 0 | 0 | 0.00 | 0 | 0 |
17 | Eric Staal | ![]() | 0 | C/LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 1 | 6.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 |
18 | Jordie Benn | ![]() | 0 | D | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 6.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
19 | Kris Russell | ![]() | 0 | D | 9 | 0 | 0 | 0 | -5 | 0 | 0 | 6 | 3 | 3 | 1 | 0.00% | 7 | 16.71 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 162 | 20 | 32 | 52 | -45 | 130 | 60 | 262 | 301 | 92 | 159 | 6.64% | 101 | 16.50 | 5 | 9 | 14 | 189 | 0 | 0 | 0 | 133 | 1 | 0 | 48.60% | 572 | 54 | 69 | 0 | 0 | 0.39 | 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 | Jonathan Quick | ![]() | 5 | 1 | 3 | 1 | 0.909 | 2.99 | 301 | 0 | 0 | 15 | 165 | 82 | 0 | 1 | 0.000 | 0 | 5 | 4 | 0 | 1 | 0 |
2 | Juuse Saros | ![]() | 4 | 0 | 4 | 0 | 0.888 | 4.25 | 240 | 0 | 0 | 17 | 152 | 67 | 1 | 0 | 0.000 | 0 | 4 | 5 | 0 | 0 | 0 |
Team Total or Average | 9 | 1 | 7 | 1 | 0.899 | 3.55 | 541 | 0 | 0 | 32 | 317 | 149 | 1 | 1 | 0.000 | 0 | 9 | 9 | 0 | 1 | 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 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 2 | 0 | 0 | 69 | 27 | 25 | 17 | 0 | 46 | 14 | 40 | 66 | 7 | 1 | 14.29% | 5 | 3 | 40.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 43 | 23 | 39 | 19 | 37 | 19 | 42.9% | 5.8% | 84.8% | 90.6 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 32 | 11 | 10 | 9 | 2 | 43 | 14 | 4 | 33 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 20 | 12 | 24 | 8 | 16 | 8 | 57.1% | 12.5% | 93.0% | 105.5 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 8 | 4 | 14 | 1 | 39 | 9 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 20 | 11 | 23 | 8 | 17 | 9 | 33.3% | 3.7% | 94.9% | 98.6 | DULL |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 46 | 19 | 20 | 7 | 0 | 30 | 12 | 14 | 32 | 3 | 3 | 100.00% | 2 | 2 | 0.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 23 | 14 | 19 | 7 | 16 | 8 | 0.0% | 6.5% | 83.3% | 89.9 | Unlucky |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 28 | 9 | 14 | 5 | 0 | 38 | 13 | 30 | 26 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 20 | 11 | 22 | 9 | 16 | 7 | 25.0% | 3.6% | 89.5% | 93.0 | Unlucky |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 23 | 7 | 11 | 5 | 0 | 45 | 18 | 17 | 26 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 19 | 9 | 22 | 9 | 17 | 9 | 50.0% | 8.7% | 88.9% | 97.6 | Unlucky |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 44 | 11 | 20 | 13 | 0 | 38 | 11 | 7 | 28 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 23 | 15 | 19 | 7 | 16 | 8 | 42.9% | 6.8% | 89.5% | 96.3 | Unlucky |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 10 | 13 | 9 | 0 | 39 | 10 | 14 | 29 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 21 | 12 | 20 | 8 | 17 | 8 | 25.0% | 6.3% | 92.3% | 98.6 | DULL |
_Vs Conference | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 9 | 17 | -8 | 1 | 0.100 | 9 | 13 | 22 | 1 | 0 | 2 | 5 | 2 | 0 | 151 | 52 | 53 | 45 | 1 | 169 | 51 | 75 | 143 | 16 | 2 | 12.50% | 15 | 6 | 60.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 105 | 56 | 106 | 45 | 89 | 47 | 38.9% | 6.0% | 89.9% | 95.9 | Unlucky | |
_Since Last GM Reset | 9 | 0 | 7 | 0 | 1 | 1 | 0 | 0 | 20 | 33 | -13 | 3 | 0.167 | 20 | 32 | 52 | 1 | 0 | 6 | 8 | 5 | 1 | 301 | 102 | 117 | 79 | 3 | 318 | 101 | 130 | 262 | 23 | 5 | 21.74% | 25 | 9 | 64.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 194 | 110 | 192 | 78 | 155 | 79 | 38.5% | 6.6% | 89.6% | 96.3 | Unlucky | |
Total | 9 | 0 | 7 | 0 | 1 | 1 | 0 | 0 | 20 | 33 | -13 | 3 | 0.167 | 20 | 32 | 52 | 1 | 0 | 6 | 8 | 5 | 1 | 301 | 102 | 117 | 79 | 3 | 318 | 101 | 130 | 262 | 23 | 5 | 21.74% | 25 | 9 | 64.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 194 | 110 | 192 | 78 | 155 | 79 | 38.5% | 6.6% | 89.6% | 96.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 218 |
Neutral Zone Start | 131 |
Defensive Zone Start | 221 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 278 |
Faceoffs Lost | 292 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 33.1 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 14 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 4 | 3 |
Overtime Lost | 0 | 1 |
PP Attempt | 23 |
---|---|
PP Goal | 5 |
PK Attempt | 25 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 33.4 |
Shots Against | 35.3 |
Goals For | 2.2 |
Goals Against | 3.7 |
Hits | 29.1 |
Shots Blocked | 11.2 |
Pim | 14.4 |
![]() | |
Projected Total Cap Hit | $0 |
Projected Cap Space | $79,500,000 |
Retains And Buyout Cap Hit | $0 |
Salary Cap To Date | $0 |
Players In Salary Cap | Array0 |
Contracts | 33/50 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 13-14 | 14-15 | 15-16 | 16-17 |
---|---|---|---|---|---|---|---|
Austin Watson | C/LW/RW | 31 | $1,050,000 | $1,050,000 | |||
Brandon Tanev | LW/RW | 31 | $2,660,000 | $2,660,000 | |||
Brendan Gallagher | LW/RW | 31 | $1,100,000 | $1,100,000 | |||
Brett Howden | C/RW | 25 | $750,000 | $750,000 | $750,000 | ||
Connor McDavid | C | 26 | $11,200,000 | $11,200,000 | |||
Dante Fabbro | D | 25 | $2,250,000 | $2,250,000 | $2,250,000 | ||
Drake Caggiula | C/LW/RW | 29 | $750,000 | $750,000 | |||
Eric Staal | C/LW | 39 | $750,000 | $750,000 | |||
Jakob Chychrun | D | 25 | $6,250,000 | $6,250,000 | $6,250,000 | ||
Jakub Vrana | LW/RW | 27 | $1,100,000 | $1,100,000 | $1,100,000 | ||
Jimmy Vesey | LW | 30 | $1,100,000 | $1,100,000 | |||
John Carlson | D | 33 | $11,000,000 | $11,000,000 | |||
Jonathan Bernier | G | 35 | $750,000 | $750,000 | |||
Jonathan Quick | G | 37 | $4,790,000 | $4,790,000 | $4,790,000 | ||
Jordie Benn | D | 36 | $750,000 | $750,000 | |||
Juuse Saros | G | 28 | $4,000,000 | $4,000,000 | |||
Juuso Valimaki | D | 25 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | |
Kirby Dach | C | 22 | $1,250,000 | $1,250,000 | |||
Kris Russell | D | 36 | $750,000 | $750,000 | |||
Mark Pysyk | D | 31 | $750,000 | $750,000 | |||
Matias Maccelli | LW | 23 | $1,100,000 | $1,100,000 | |||
Matthew Beniers | C | 21 | $1,100,000 | $1,100,000 | $1,100,000 | ||
Nic Dowd | C/RW | 33 | $5,500,000 | $5,500,000 | $5,500,000 |
Non-Roster | Pos | Age | Cap Hit | 13-14 | 14-15 | 15-16 | 16-17 |
---|---|---|---|---|---|---|---|
Alex Nylander | LW/RW | 25 | $750,000 | $750,000 | $750,000 | ||
Daniil Tarasov | G | 24 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | |
Ethan Cardwell | C | 21 | $750,000 | $750,000 | $750,000 | ||
Jakub Zboril | D | 26 | $1,100,000 | $1,100,000 | |||
Jayson Shaugabay | RW | 18 | $750,000 | $750,000 | |||
Kirill Dolzenkhov | RW | 19 | $750,000 | $750,000 | $750,000 | ||
Maveric Lamoureux | D | 19 | $750,000 | $750,000 | $750,000 | ||
Riley Heidt | C | 18 | $750,000 | $750,000 | |||
Tanner Molendyk | D | 18 | $750,000 | $750,000 | |||
Yegor Rimashevsky | RW | 18 | $750,000 | $750,000 |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Brandon Tanev | Connor McDavid | Nic Dowd | |||||
Jakub Vrana | Kirby Dach | Brendan Gallagher | |||||
Jimmy Vesey | Matthew Beniers | Brett Howden | |||||
Matias Maccelli | Austin Watson | Connor McDavid |
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
John Carlson | Jakob Chychrun | ||||||
Dante Fabbro | Juuso Valimaki | ||||||
Mark Pysyk | Kris Russell |
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Brandon Tanev | Connor McDavid | Nic Dowd | |||||
John Carlson | Jakob Chychrun |
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Jakub Vrana | Kirby Dach | Brendan Gallagher | |||||
Dante Fabbro | Juuso Valimaki |
Goalies | |||||||
---|---|---|---|---|---|---|---|
Jonathan Quick | Juuse Saros |
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 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 2 | 0 | 0 | 69 | 27 | 25 | 17 | 0 | 46 | 14 | 40 | 66 | 7 | 1 | 14.29% | 5 | 3 | 40.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 43 | 23 | 39 | 19 | 37 | 19 | 42.9% | 5.8% | 84.8% | 90.6 | Unlucky |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 32 | 11 | 10 | 9 | 2 | 43 | 14 | 4 | 33 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 20 | 12 | 24 | 8 | 16 | 8 | 57.1% | 12.5% | 93.0% | 105.5 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 8 | 4 | 14 | 1 | 39 | 9 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 20 | 11 | 23 | 8 | 17 | 9 | 33.3% | 3.7% | 94.9% | 98.6 | DULL |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 46 | 19 | 20 | 7 | 0 | 30 | 12 | 14 | 32 | 3 | 3 | 100.00% | 2 | 2 | 0.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 23 | 14 | 19 | 7 | 16 | 8 | 0.0% | 6.5% | 83.3% | 89.9 | Unlucky |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 28 | 9 | 14 | 5 | 0 | 38 | 13 | 30 | 26 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 20 | 11 | 22 | 9 | 16 | 7 | 25.0% | 3.6% | 89.5% | 93.0 | Unlucky |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 23 | 7 | 11 | 5 | 0 | 45 | 18 | 17 | 26 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 19 | 9 | 22 | 9 | 17 | 9 | 50.0% | 8.7% | 88.9% | 97.6 | Unlucky |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 44 | 11 | 20 | 13 | 0 | 38 | 11 | 7 | 28 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 23 | 15 | 19 | 7 | 16 | 8 | 42.9% | 6.8% | 89.5% | 96.3 | Unlucky |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 10 | 13 | 9 | 0 | 39 | 10 | 14 | 29 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 21 | 12 | 20 | 8 | 17 | 8 | 25.0% | 6.3% | 92.3% | 98.6 | DULL |
_Vs Conference | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 9 | 17 | -8 | 1 | 0.100 | 9 | 13 | 22 | 1 | 0 | 2 | 5 | 2 | 0 | 151 | 52 | 53 | 45 | 1 | 169 | 51 | 75 | 143 | 16 | 2 | 12.50% | 15 | 6 | 60.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 105 | 56 | 106 | 45 | 89 | 47 | 38.9% | 6.0% | 89.9% | 95.9 | Unlucky | |
_Since Last GM Reset | 9 | 0 | 7 | 0 | 1 | 1 | 0 | 0 | 20 | 33 | -13 | 3 | 0.167 | 20 | 32 | 52 | 1 | 0 | 6 | 8 | 5 | 1 | 301 | 102 | 117 | 79 | 3 | 318 | 101 | 130 | 262 | 23 | 5 | 21.74% | 25 | 9 | 64.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 194 | 110 | 192 | 78 | 155 | 79 | 38.5% | 6.6% | 89.6% | 96.3 | Unlucky | |
Total | 9 | 0 | 7 | 0 | 1 | 1 | 0 | 0 | 20 | 33 | -13 | 3 | 0.167 | 20 | 32 | 52 | 1 | 0 | 6 | 8 | 5 | 1 | 301 | 102 | 117 | 79 | 3 | 318 | 101 | 130 | 262 | 23 | 5 | 21.74% | 25 | 9 | 64.00% | 0 | 107 | 218 | 49.08% | 104 | 221 | 47.06% | 67 | 131 | 51.15% | 194 | 110 | 192 | 78 | 155 | 79 | 38.5% | 6.6% | 89.6% | 96.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 218 |
Neutral Zone Start | 131 |
Defensive Zone Start | 221 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 278 |
Faceoffs Lost | 292 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 33.1 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 14 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 4 | 3 |
Overtime Lost | 0 | 1 |
PP Attempt | 23 |
---|---|
PP Goal | 5 |
PK Attempt | 25 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 33.4 |
Shots Against | 35.3 |
Goals For | 2.2 |
Goals Against | 3.7 |
Hits | 29.1 |
Shots Blocked | 11.2 |
Pim | 14.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sun, Feb 27 | ![]() | @ | ![]() | TBL4,NAS1 | RECAP |
Tue, Mar 1 | ![]() | @ | ![]() | NAS2,SEA3 | RECAP |
Thu, Mar 3 | ![]() | @ | ![]() | BOS5,NAS3 | RECAP |
Sun, Mar 6 | ![]() | @ | ![]() | NAS2,EDM5 | RECAP |
Tue, Mar 8 | ![]() | @ | ![]() | NYR4,NAS3 | RECAP |
Thu, Mar 10 | ![]() | @ | ![]() | NAS1,SJS2 (OT) | RECAP |
Sun, Mar 13 | ![]() | @ | ![]() | NAS3,VAN4 | RECAP |
Thu, Mar 17 | ![]() | @ | ![]() | NAS4,TOR3 (OT) | RECAP |
Sun, Mar 20 | ![]() | @ | ![]() | VAN3,NAS1 | RECAP |
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Sat, Sep 3 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$61,950,000 | $0 | $0 | $79,500,000 |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | $100 | $60 | $35 | $25 | $200 |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
37 | 0 - 0.00% | $0 | $0 | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$61,950,000 | $61,950,000 | $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 | 170 | $322,656 | $54,851,520 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$54,851,520 | $0 | $70,000,000 | $15,148,480 |
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 | Round 4 |
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4 | ![]() | |||
5 | ![]() | ![]() | ![]() | |
6 | ![]() | ![]() | ![]() | ![]() |
7 | ![]() | ![]() | ![]() | ![]() |
8 | ![]() | ![]() | ![]() | ![]() |
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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Year | Round 1 | Round 2 | Round 3 | Round 4 |
---|---|---|---|---|
4 | ![]() | |||
5 | ![]() | ![]() | ![]() | |
6 | ![]() | ![]() | ![]() | ![]() |
7 | ![]() | ![]() | ![]() | ![]() |
8 | ![]() | ![]() | ![]() | ![]() |
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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