Final
SEA4
CBJ2

Aug
27
PredatorsNashville Predators
6-8-0, 12pts · 7th in Group A
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
1Joe PavelskiPredatorsPredators16C/RW1781119-220563134612.70%617.9522400001154.41%13600001.2400
2Vincent TrocheckPredatorsPredators21C17216184100464411374.55%319.31134000541155.51%46300001.1000
3Aleksander BarkovPredatorsPredators16C178816-340149824598.16%122.46336000561051.58%57000000.8400
4Sam BennettPredatorsPredators93C/LW17951412203141112621.95%316.7212300022048.28%2900000.9800
5John KlingbergPredatorsPredators3D17410146803223121717.39%1520.242350004000.00%000000.8100
6Brett PescePredatorsPredators22D172111338029256168.00%2821.8001100062000.00%000100.7000
7Johnny GaudreauPredatorsPredators0LW173912-60056717454.48%220.3713400000042.86%2100000.6900
8Patrick KanePredatorsPredators88RW176612-4001251113111.76%116.0523500002046.43%2800000.8800
9Shea TheodorePredatorsPredators27D173811-94051981415.79%2022.1525700012100.00%000000.5800
10Paul StastnyPredatorsPredators0C/LW1754920042871817.86%010.5700000000046.76%13900001.0000
11Ivan BarbashevPredatorsPredators0C/LW/RW17369220262761811.11%310.5700000000040.00%1500001.0000
12Darnell NursePredatorsPredators25D17055-7340761310110.00%3624.4301100049000.00%000000.2400
13Tom WilsonPredatorsPredators43RW17325-4195443111269.68%418.12000000450053.33%1500000.3200
14Jonathan ToewsPredatorsPredators0C173141001244912.50%25.7100000000056.43%14000000.8200
15Lawson CrousePredatorsPredators0LW/RW171121601814677.14%06.3300000070020.00%500000.3700
16Duncan KeithPredatorsPredators0D170221401672150.00%1515.2600000042000.00%000000.1500
17J.T. CompherPredatorsPredators37C/LW/RW171121201144187.14%39.06000000570030.77%1300000.2600
18Zdeno CharaPredatorsPredators0D170111195362340.00%2016.1600000055000.00%000000.0700
Team Total or Average30661107168-121441040159116641710.32%16216.291426400004528252.35%157400100.6700
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
1Elvis MerzlikinsPredatorsPredators178810.8754.2292540655210000.0000170020
2Braden HoltbyPredatorsPredators40001.0000.0095000390010.0000017000
Team Total or Average218810.8843.82102040655600010.00001717020
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
1PredatorsFlyers2020000048-400.0004610001210642021230592112507228.57%6266.67%026853450.19%27951853.86%11722851.32%47324714251225.0%6.3%86.4%92.7Unlucky
2PredatorsCapitals2200000085341.00081321004400802831210642212535240.00%6183.33%026853450.19%27951853.86%11722851.32%49344315261360.0%10.0%92.2%102.2LUCKY
3PredatorsSenators2110000088020.50081220005210804021190571717646116.67%60100.00%026853450.19%27951853.86%11722851.32%47334614261246.7%10.0%86.0%96.0FUN
4PredatorsWild2110000099020.50091726003420671527250682314474250.00%7357.14%026853450.19%27951853.86%11722851.32%44295015251253.8%13.4%86.8%100.2FUN
5PredatorsFlames20200000512-700.0005813101220672122240772725355120.00%10370.00%026853450.19%27951853.86%11722851.32%46314915241130.8%7.5%84.4%91.9Unlucky
6PredatorsCanucks2020000049-500.0004812002020612417200832122525120.00%11463.64%026853450.19%27951853.86%11722851.32%42274916271337.5%6.6%89.2%95.7Unlucky
7PredatorsKraken21001000107341.00010182800621162212713142914439222.22%7442.86%026853450.19%27951853.86%11722851.32%49334316281472.7%16.1%83.3%99.5FUN
_Vs Division1458010004858-10120.4294882130102216914811691661451450140116344411126.83%531767.92%026853450.19%27951853.86%11722851.32%3272223291071838947.4%10.0%87.1%97.1FUN
_Vs Conference1458010004858-10120.4294882130102216914811691661451450140116344411126.83%531767.92%026853450.19%27951853.86%11722851.32%3272223291071838947.4%10.0%87.1%97.1FUN
_Since Last GM Reset1458010004858-10120.4294882130102216914811691661451450140116344411126.83%531767.92%026853450.19%27951853.86%11722851.32%3272223291071838947.4%10.0%87.1%97.1FUN
Total1458010004858-10120.4294882130102216914811691661451450140116344411126.83%531767.92%026853450.19%27951853.86%11722851.32%3272223291071838947.4%10.0%87.1%97.1FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 534
Neutral Zone Start 228
Defensive Zone Start 518
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 664
Faceoffs Lost 616
Team Average Shots after League Average Shots after
1st Period 12.110.69
2nd Period 23.921.35
3rd Period 34.332.03
Overtime 34.432.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.61.08
2nd Period 2.72.13
3rd Period 3.42.97
Overtime 3.43.07
Even Strenght Goal 36
PP Goal 11
PK Goal 0
Empty Net Goal 1
Home Away
Win 42
Lost 35
Overtime Lost 00
PP Attempt 41
PP Goal 11
PK Attempt 53
PK Goal Against 17
Home
Shots For 34.4
Shots Against 32.1
Goals For 3.4
Goals Against 4.1
Hits 24.6
Shots Blocked 10.0
Pim 8.3