Nashville Predators
53-19-6, 112pts · 2nd in Ouest
STATISTIQUE
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOS 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
1Travis KonecnyPredatorsPredatorsLW/RW784855103364351823449124213.95%918.369716170000138441.18%10200011.4400
2Steven StamkosPredatorsPredatorsC/LW/RW77325183332801142919621411.00%517.8454918000004056.65%185000011.2112
3Nick SchmaltzPredatorsPredatorsC/LW/RW782853813480142477115811.34%1218.0731013186000103041.00%190000101.1500
4Jonathan MarchessaultPredatorsPredatorsLW/RW78334679372951203217421810.28%417.606131918200002323.15%10800101.1511
5Zach HymanPredatorsPredatorsLW/RW78353469402801122857920412.28%1317.5133617800007131.78%10700111.0100
6Gustav ForslingPredatorsPredatorsD788536133481011112250806.56%13323.0011213183101189200.00%000100.6800
7J.J. MoserPredatorsPredatorsD7784957266158310349717.77%7920.4216717900066010.00%000000.7300
8Jordan StaalPredatorsPredatorsC7726305632601121574312116.56%2019.24127191811011653360.45%186600000.7601
9Aaron EkbladPredatorsPredatorsD731142532354015791357012.09%11222.27178172011163010.00%000000.6500
10Sean WalkerPredatorsPredatorsD78133851492809175203817.33%8617.651129112196110.00%000000.7400
11Tyler ToffoliPredatorsPredatorsC/LW/RW7823285131140651916415512.04%616.8221312500005044.71%8500020.7800
12Adam HenriquePredatorsPredatorsC/LW/RW7620305033255971936515210.36%615.8100030221843056.33%120000000.8300
13Jake WalmanPredatorsPredatorsD781930493844096127499914.96%11420.36731018600018600.00%000000.6200
14Logan CouturePredatorsPredatorsC/LW/RW7816264220315113141389311.35%1616.91279930221893256.50%44600010.6404
15Jeff SkinnerPredatorsPredatorsLW772022422818038224581588.93%316.2842612300003143.30%9700000.6700
16Jacob MiddletonPredatorsPredatorsD7872027506151177921338.86%10017.2110112000179200.00%000000.4000
17Colton SissonsPredatorsPredatorsC/LW/RW7841115580348322594.82%108.1700050332011056.00%84100000.4700
18Nick FolignoPredatorsPredatorsC/LW78851362210658126439.88%137.9700042021690046.94%4900000.4200
19Cam AtkinsonPredatorsAdmirals (NAS)RW2502220021610170.00%16.32000000000030.00%1000000.2500
20Barrett HaytonPredatorsPredatorsC/LW701122036210.00%211.95000000000045.45%3300000.2400
21Conor TimminsPredatorsAdmirals (NAS)D1000-20010000.00%316.0000000000000.00%000000.0000
22Josh BrownPredatorsPredatorsD900024040040.00%24.8500000000000.00%000000.0000
Moyenne d'équipe14353596269855295825017313177963223011.30%74916.995883141217859141751531752.63%869400460.8128
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Alexandar GeorgievPredatorsPredators70491650.9072.9442026420622230200.6676708331
2Joey DaccordPredatorsPredators24111020.9122.91140341687700110.00002352320
Moyenne d'équipe 946026 7 0.9082.93560510527429930310.66769360651
Astuces sur les Filtres (Anglais seulement)
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 Équipe 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
1SabresSabres1100000052321.000581300032036111015024128213133.33%30100.00%01514301450.23%1327264450.19%740139553.05%241722712666.7%13.9%91.7%105.6LUCKY
2BruinsBruins1100000073421.000712190022304516111802161616400.00%8187.50%11514301450.23%1327264450.19%740139553.05%261721712677.8%15.6%85.7%101.3FUN
3RangersRangers1100000073421.000712190041204425109032108155240.00%4325.00%01514301450.23%1327264450.19%740139553.05%2618207136100.0%15.9%90.6%106.5FUN
4Red WingsRed Wings1100000074321.000711180051104117141002564184125.00%2150.00%01514301450.23%1327264450.19%740139553.05%261820712666.7%17.1%84.0%101.1FUN
5JetsJets5410000023131080.8002343660096801945365760153435310321523.81%140100.00%01514301450.23%1327264450.19%740139553.05%1218311238653258.1%11.9%91.5%103.4LUCKY
6HurricanesHurricanes1100000042221.0004610003100281576032101026000.00%50100.00%01514301450.23%1327264450.19%740139553.05%201226613666.7%14.3%93.8%108.0LUCKY
7CapitalsCapitals1100000084421.000814220043103013611043914173133.33%7271.43%11514301450.23%1327264450.19%740139553.05%191327812577.8%26.7%90.7%117.4FUN
8CanadiensCanadiens1100000071621.00071219003220492281902794285240.00%2150.00%01514301450.23%1327264450.19%740139553.05%2819186137100.0%14.3%96.3%110.6LUCKY
9LightningLightning1100000053221.0005914002120241086037126246233.33%30100.00%01514301450.23%1327264450.19%740139553.05%221523713650.0%20.8%91.9%112.7LUCKY
10FlyersFlyers1000000123-110.5002350010103681795291014233133.33%6183.33%01514301450.23%1327264450.19%740139553.05%261825712633.3%5.6%89.7%95.2Unlucky
11SharksSharks54001000301218101.000305484019101012017564611150512810211327.27%13192.31%01514301450.23%1327264450.19%740139553.05%1269011135633271.1%14.9%92.0%106.9LUCKY
12Black HawksBlack Hawks531010002118380.8002137580078512127079621156452811216318.75%14564.29%01514301450.23%1327264450.19%740139553.05%1258811135623258.1%9.9%88.5%98.4FUN
13AvalancheAvalanche614000102129-840.333213354006772225668671520358551142229.09%23673.91%01514301450.23%1327264450.19%740139553.05%14810213943763745.2%9.3%85.7%95.0FUN
14DucksDucks431000001610660.75016304600655015163434501544619921317.69%7185.71%01514301450.23%1327264450.19%740139553.05%906310028492462.5%10.6%93.5%104.1LUCKY
15OilersOilers523000002018240.400203454009830177516759017549281071000.00%14564.29%11514301450.23%1327264450.19%740139553.05%1127712237643160.6%11.3%89.7%101.0FUN
16SenateursSenateurs2010100088020.5008142200421168171929360198384125.00%4175.00%01514301450.23%1327264450.19%740139553.05%45304814261350.0%11.8%86.7%98.4FUN
17Maple LeafsMaple Leafs1100000061521.0006814003120501719140267420200.00%20100.00%01514301450.23%1327264450.19%740139553.05%241621713785.7%12.0%96.2%108.2LUCKY
18CanucksCanucks43001000179881.000173148005741151485052112245399314214.29%9188.89%01514301450.23%1327264450.19%740139553.05%96659028542865.2%11.3%92.6%103.9LUCKY
19WildWild5410000023121180.8002344670110940231619872013030361181000.00%17382.35%11514301450.23%1327264450.19%740139553.05%1268710735653471.9%10.0%90.8%100.7FUN
20BluesBlues532000001611560.600163147013760188646262017451281021000.00%12191.67%01514301450.23%1327264450.19%740139553.05%1158112335612961.5%8.5%93.7%102.2DULL
21KingsKings210001001110130.750111930005330843819261942412364125.00%6266.67%01514301450.23%1327264450.19%740139553.05%43285015271355.6%13.1%89.4%102.5FUN
22Golden KnightsGolden Knights43100000168860.75016274301754013649414609428276611327.27%9366.67%01514301450.23%1327264450.19%740139553.05%90639830512572.2%11.8%91.5%103.3LUCKY
23StarsStars330000001971261.0001934530010360129393951086302462500.00%120100.00%01514301450.23%1327264450.19%740139553.05%76546420392073.1%14.7%91.9%106.6LUCKY
24FlamesFlames402002001317-420.25013203300454016350525921412729657228.57%12191.67%01514301450.23%1327264450.19%740139553.05%98699727512540.7%8.0%87.9%95.9Unlucky
25DevilsDevils1100000021121.00024600020036101511019102303133.33%10100.00%01514301450.23%1327264450.19%740139553.05%261820612650.0%5.6%94.7%100.3DULL
26PanthersPanthers1100000043121.00046100030104116121302484244250.00%2150.00%01514301450.23%1327264450.19%740139553.05%231623613650.0%9.8%87.5%97.3FUN
27IslandersIslanders2100010076130.7507121900412088213528459128419111.11%40100.00%01514301450.23%1327264450.19%740139553.05%52374415271350.0%8.0%89.8%97.8Unlucky
28PenguinsPenguins1100000053221.000581300221053222011031108153133.33%4175.00%01514301450.23%1327264450.19%740139553.05%261921612666.7%9.4%90.3%99.8FUN
29KrakenKraken412001001315-230.375132235003460146473560416456387210330.00%18194.44%11514301450.23%1327264450.19%740139553.05%97669428522641.7%8.9%90.9%99.8Unlucky
_Vs Division29189010101239033400.69012322234502454036311793534293946902257224611841011.90%921583.70%11514301450.23%1327264450.19%740139553.05%71449865920737018760.1%10.4%90.0%100.5FUN
_Vs Conference6135180341025918970820.672259459718049387755238877480080215199658344412441642515.24%1803083.33%31514301450.23%1327264450.19%740139553.05%14701022142443978539659.5%10.8%90.5%101.4FUN
_Since Last GM Reset784819045113432361071120.71834359894104133109966305710141011101127248573356216002224118.47%2374282.28%51514301450.23%1327264450.19%740139553.05%189113111811562100750760.9%11.2%90.5%101.7FUN
Total784819045113432361071120.71834359894104133109966305710141011101127248573356216002224118.47%2374282.28%51514301450.23%1327264450.19%740139553.05%189113111811562100750760.9%11.2%90.5%101.7FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 3014
Neutral Zone Start 1395
Defensive Zone Start 2644
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 3581
Faceoffs Lost 3472
Team Average Shots after League Average Shots after
1st Period 13.09.57
2nd Period 26.020.31
3rd Period 38.930.68
Overtime 39.331.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.70.64
2nd Period 3.11.65
3rd Period 4.32.67
Overtime 4.42.83
Even Strenght Goal 297
PP Goal 41
PK Goal 5
Empty Net Goal 0
Home Away
Win 3122
Lost 514
Overtime Lost 24
PP Attempt 222
PP Goal 41
PK Attempt 237
PK Goal Against 42
Home
Shots For 39.2
Shots Against 31.9
Goals For 4.4
Goals Against 3.0
Hits 20.5
Shots Blocked 9.4
Pim 7.2