PredatorsNashville Predators
12-4-4, 28pts · 3rd in Western Conference
Player Stats
Filter Tips
PriorityTypeDescription
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
10textAny 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
1Travis KonecnyPredatorsPredators11LW/RW2012112351351387236113.79%019.:.1501100003141.18%3400011.1903
2Vincent TrocheckPredatorsPredators21C191012223604872235513.89%519.:.19415000140254.21%48700001.2012
3Quinn HughesPredatorsPredators43D203182110014318169.68%2322.:.591230004000.00%000000.9100
4J.T. MillerPredatorsPredators90C/LW/RW207111841005210233716.86%522.:.28123000271052.62%55300000.8013
5Clayton KellerPredatorsPredators9C/LW/RW20691570068818666.82%221.:.17134000181016.13%3100000.7011
6Martin NecasPredatorsPredators88C/RW2058136201443142911.63%117.:.4314500001041.79%6700000.7300
7Jake SandersonPredatorsPredators8D203811310026379178.11%2522.:.1412300049100.00%000000.4900
8Jeff PetryPredatorsPredators62D20189617540741014.29%2715.:.1200000038000.00%000000.5900
9Alexis LafrenierePredatorsPredators13LW/RW2053824073372615.15%113.:.3212300001146.67%1500000.5900
10Jared McCannPredatorsPredators16C/LW20358-27594814476.25%314.:.3512300000050.59%25300000.5500
11Alexander RomanovPredatorsPredators29D202570100501661312.50%4321.:.5200000052010.00%000000.3200
12TJ BrodiePredatorsPredators78D1616722014122108.33%1616.:.2900000041100.00%000000.5300
13Dakota JoshuaPredatorsPredators81C/LW202350401053329366.25%215.:.4600000000043.40%5300000.3200
14Evander KanePredatorsPredators59LW/RW20224223536379295.41%012.:.4111200000150.00%1400000.3100
15Jordan StaalPredatorsPredators13C20224340172071310.00%209.:.54000000751053.27%32100000.4000
16Joel ArmiaPredatorsPredators40RW201232007297133.45%409.:.49000000760042.86%1400000.3100
17Erik GustafssonPredatorsPredators65D13112640492511.11%1313.:.470000007000.00%100000.2200
18Yakov TreninPredatorsPredators31C/LW19112012101615286.67%105.:.5100000010047.06%1700000.3600
19David SavardPredatorsPredators58D8011360173180.00%1720.:.0100000014000.00%000000.1200
20Ryan SuterPredatorsAdmirals (NSH)0D5011180152240.00%619.:.030000007000.00%000000.2100
Team Total or Average3556711618353170404437211985339.29%19016:3212203200042310651.18%186000010.6239
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Stuart SkinnerPredatorsPredators1483391.4%2.78863414046400070.0%10146021
2Joel HoferPredatorsPredators641188.8%3.1636100191690000.0%0614000
Team Total or Average20124490.7%2.89122441596330000.700102020021
Filter Tips
PriorityTypeDescription
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
10textAny 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
1PredatorsLightning1010000025-300.00023500110038101513039151525200.00%5340.00%040478551.46%39471055.49%15432447.53%201225913650.0%5.3%87.2%92.4Unlucky
2PredatorsCapitals1010000024-200.000224001010391418702566215120.00%3233.33%040478551.46%39471055.49%15432447.53%261920712633.3%5.1%84.0%89.1Unlucky
3PredatorsPanthers1000010034-110.50036900210038101214230623166233.33%3233.33%040478551.46%39471055.49%15432447.53%282019713733.3%7.9%86.7%94.6Unlucky
4PredatorsBruins1100000032121.0003690012003517810021124262150.00%2150.00%040478551.46%39471055.49%15432447.53%251721812666.7%8.6%90.5%99.0Unlucky
5PredatorsRed Wings2010001058-320.500571200022167211824774241050700.00%5180.00%040478551.46%39471055.49%15432447.53%52364414271441.7%7.5%89.2%96.7Unlucky
6PredatorsBlackhawks1100000052321.000581300212041217130214712300.00%10100.00%040478551.46%39471055.49%15432447.53%281917714771.4%12.2%90.5%102.7FUN
7PredatorsBlue Jackets1100000041321.00046100012103717101002713416100.00%2150.00%040478551.46%39471055.49%15432447.53%2517216136100.0%10.8%96.3%107.1LUCKY
8PredatorsOilers30100101710-320.3337132000241010435422271153418716116.67%9188.89%040478551.46%39471055.49%15432447.53%73507621381940.0%6.7%91.3%98.0DULL
9PredatorsFlames1100000032121.00036900021037121213035610232150.00%5180.00%040478551.46%39471055.49%15432447.53%261719714766.7%8.1%94.3%102.4DULL
10PredatorsCanucks1100000065121.00061016003210268810038810216350.00%5180.00%040478551.46%39471055.49%15432447.53%221322815742.9%23.1%86.8%109.9FUN
11PredatorsAvalanche2000200086241.00081321002402753027144692415514250.00%50100.00%040478551.46%39471055.49%15432447.53%49344815261250.0%10.7%91.3%102.0LUCKY
12PredatorsKings1100000082621.000816240031403214810024919174125.00%20100.00%040478551.46%39471055.49%15432447.53%261920713677.8%25.0%91.7%116.7LUCKY
13PredatorsCoyotes1000001043121.000459000122438151593461725000.00%60100.00%040478551.46%39471055.49%15432447.53%261823714757.1%9.3%91.2%100.5LUCKY
14PredatorsStars1000010023-110.50024600002037715132359628100.00%3166.67%040478551.46%39471055.49%15432447.53%241622814650.0%5.4%91.4%96.8DULL
15PredatorsKraken2200000073441.0007121901223074352217046201856200.00%90100.00%040478551.46%39471055.49%15432447.53%49324214281470.0%9.5%93.5%102.9LUCKY
_Vs Division510021101914590.9001930490046641966664551515943451168225.00%15193.33%040478551.46%39471055.49%15432447.53%1298811138693456.7%9.7%91.2%100.9LUCKY
_Vs Conference136102211503614210.80850871370114171644691701561272241712012030428828.57%45491.11%040478551.46%39471055.49%15432447.53%327222292981798956.8%10.7%91.4%102.0LUCKY
_Since Last GM Reset20840232169609280.7006911718601202520572325923720531633196182458511223.53%651478.46%040478551.46%39471055.49%15432447.53%50634744515127213755.3%9.5%90.5%100.1FUN
Total20840232169609280.7006911718601202520572325923720531633196182458511223.53%651478.46%040478551.46%39471055.49%15432447.53%50634744515127213755.3%9.5%90.5%100.1FUN

Puck Time
Offensive Zone 25
Neutral Zone 13
Defensive Zone 22
Puck Time
Offensive Zone Start 785
Neutral Zone Start 324
Defensive Zone Start 710
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 952
Faceoffs Lost 867
Team Average Shots after League Average Shots after
1st Period 13.010.69
2nd Period 24.821.35
3rd Period 35.132.03
Overtime 36.632.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.01.08
2nd Period 2.32.13
3rd Period 3.32.97
Overtime 3.53.07
Even Strenght Goal 57
PP Goal 12
PK Goal 0
Empty Net Goal 0
Home Away
Win 75
Lost 13
Overtime Lost 22
PP Attempt 51
PP Goal 12
PK Attempt 65
PK Goal Against 14
Home
Shots For 36.2
Shots Against 31.7
Goals For 3.5
Goals Against 3.0
Hits 22.9
Shots Blocked 9.8
Pim 9.1