Winnipeg Jets
29-37-9, 67pts · 12th 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
1Nico HischierJetsJetsC/LW/RW75363874-680293127921111.54%1421.17612181820112037555.89%207900000.9300
2Sebastian AhoJetsJetsC/LW75343468000173149022410.83%1820.8986141810112083257.97%195100010.8723
3Brandon HagelJetsJetsLW75253358-124410123255631719.80%1818.06771418100023126.79%11200010.8600
4Seth JonesJetsJetsD6954651268017510637704.72%7623.5031114187000151000.00%000000.6300
5Troy TerryJetsJetsC/RW7515314680013195561477.69%816.82291117700024022.97%7400100.7300
6Marcus FolignoJetsJetsLW/RW751821391376101991585611211.39%2117.54011301011763133.00%10000000.5900
7Rickard RakellJetsJetsLW75112738424089138381177.97%317.1725716500000137.25%10200000.5914
8Esa LindellJetsJetsD75161430-153596111315314.41%12224.79527198000206100.00%000000.3200
9Brett PesceJetsJetsD7591625-102805859244415.25%10420.0313431101188000.00%000000.3314
10Brett KulakJetsJetsD7532023-165201414124437.32%7619.17369155000107100.00%000000.3200
11Danton HeinenJetsJetsLW/RW6741519-111208712232883.28%714.74167148000413032.26%9300000.3800
12Nick JensenJetsJetsD7531619-12220515218375.77%10116.740003000209000.00%000000.3000
13Andreas AthanasiouJetsJetsC/LW/RW7361117-14552310124585.94%712.2800014000160046.55%97100000.3800
14Ryker EvansJetsJetsD7551116-1458014050143310.00%3916.3012315300017200.00%000000.2600
15Beck MalenstynJetsJetsLW/RW755611-14115479223665.43%2610.2400030112090021.52%7900100.2900
16Liam O'BrienJetsJetsC42235-7280671641512.50%27.36000000000030.85%36300000.3200
17Sammy BlaisJetsJetsLW/RW48134-35951104412222.27%112.15000100000025.00%6000000.1400
18Pat MaroonJetsJetsLW/RW60112-8175313513402.86%47.51000000000038.64%4400000.0900
19Alex IafalloJetsJetsLW45011-1680157223460.00%39.54000000000029.17%2400000.0500
20Dylan GambrellJetsMoose (WIN)C/LW18011-7001111160.00%28.46000900060049.17%12000000.1300
21Brandon GignacJetsMoose (WIN)C/LW15011-80004370.00%07.20000000000047.71%10900000.1900
22Walker DuehrJetsMoose (WIN)RW8000-30065340.00%17.22000000000020.00%500000.0000
23Dylan McIlrathJetsMoose (WIN)D5000-14081200.00%115.6300030002000.00%000000.0000
Moyenne d'équipe1350199349548-136577451536229467016148.67%65416.37397010918302351753271050.48%628600220.50411
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
1Darcy KuemperJetsJets41141860.9063.0622950111712410010.66763738222
2James ReimerJetsJets33121530.8943.411811011039760320.33333116213
3Calle ClangJetsMoose (WIN)73400.9162.6642801192250001.0003721110
Moyenne d'équipe 812937 9 0.9023.1645350323924420330.667127575545
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
1SabresSabres3120000078-120.33371118001420933132300741818649222.22%9277.78%01287249451.60%1293255550.61%593118350.13%72507022371945.5%7.5%89.2%96.7Unlucky
2BruinsBruins1100000032121.00036900210035131570143622000.00%30100.00%01287249451.60%1293255550.61%593118350.13%241622713660.0%8.6%85.7%94.3Unlucky
3PredatorsPredators514000001323-1020.20013223510643015347505601946167921400.00%21576.19%01287249451.60%1293255550.61%593118350.13%1127412137653241.9%8.5%88.1%96.6Unlucky
4Red WingsRed Wings1100000020221.000235011100257810021742311100.00%20100.00%01287249451.60%1293255550.61%593118350.13%2316227136100.0%8.0%100.0%108.0DULL
5HurricanesHurricanes1010000013-200.0001230001003010101002261020100.00%5180.00%01287249451.60%1293255550.61%593118350.13%221422814633.3%3.3%86.4%89.7Unlucky
6CapitalsCapitals1100000031221.00035800300024127502781221100.00%50100.00%01287249451.60%1293255550.61%593118350.13%221624712675.0%12.5%96.3%108.8LUCKY
7CanadiensCanadiens1000010056-110.5005101500212035101014123610256233.33%5180.00%01287249451.60%1293255550.61%593118350.13%261821713737.5%14.3%73.9%88.2FUN
8LightningLightning1010000035-200.00034710021032932004298213133.33%4175.00%01287249451.60%1293255550.61%593118350.13%221524712533.3%9.4%88.1%97.5FUN
9FlyersFlyers1010000015-400.00012300010022711402815621200.00%3233.33%01287249451.60%1293255550.61%593118350.13%231623713625.0%4.5%82.1%86.7Unlucky
10SharksSharks2110000075220.50071320003310551718200592322437342.86%10280.00%01287249451.60%1293255550.61%593118350.13%48334513251257.1%12.7%91.5%104.3LUCKY
11Black HawksBlack Hawks514000001424-1020.2001426400032901504143660185454311315320.00%18666.67%01287249451.60%1293255550.61%593118350.13%1157911936643137.9%9.3%87.0%96.4FUN
12AvalancheAvalanche512020001113-260.600112031006122145544344417250491071100.00%21385.71%11287249451.60%1293255550.61%593118350.13%1147712437673252.4%7.6%92.4%100.0DULL
13DucksDucks40200101813-520.25081523005211103392336814832257812216.67%9188.89%01287249451.60%1293255550.61%593118350.13%906010030562833.3%7.8%91.2%99.0DULL
14OilersOilers412000101011-140.50010152500261113434445271394028877114.29%14378.57%01287249451.60%1293255550.61%593118350.13%946410029502552.9%7.5%92.1%99.5DULL
15SenateursSenateurs3110010056-130.5005914013200913030310922222621119.09%8362.50%01287249451.60%1293255550.61%593118350.13%71487022381957.1%5.5%93.5%99.0DULL
16Maple LeafsMaple Leafs2020000058-300.00051015104100683225110771718317114.29%9455.56%01287249451.60%1293255550.61%593118350.13%48334515251250.0%7.4%89.6%97.0Unlucky
17CanucksCanucks422000001211140.500122335003450113363641015339307215426.67%140100.00%01287249451.60%1293255550.61%593118350.13%92629529512542.1%10.6%92.8%103.4LUCKY
18WildWild522001002018250.5002035550069501434844510134323712317635.29%16381.25%01287249451.60%1293255550.61%593118350.13%1147712039663348.3%14.0%86.6%100.6FUN
19BluesBlues422000001314-140.50013223500436013148483501432728867114.29%14378.57%01287249451.60%1293255550.61%593118350.13%92639627512452.2%9.9%90.2%100.1FUN
20KingsKings40300010715-820.250711180022211063637332153533070800.00%100100.00%01287249451.60%1293255550.61%593118350.13%936410029502431.8%6.6%90.2%96.8Unlucky
21Golden KnightsGolden Knights3120000066020.3336111701312010027274606522126114321.43%5180.00%01287249451.60%1293255550.61%593118350.13%76516323402137.5%6.0%90.8%96.8Unlucky
22StarsStars531001001517-270.7001526410055501444953411150274010512216.67%19478.95%01287249451.60%1293255550.61%593118350.13%1178011737653150.0%10.4%88.7%99.1FUN
23FlamesFlames2110000066020.5006121800033065202520061201235600.00%6183.33%01287249451.60%1293255550.61%593118350.13%48354513251254.5%9.2%90.2%99.4FUN
24DevilsDevils2200000084441.00081220001430841733340491316387342.86%8362.50%01287249451.60%1293255550.61%593118350.13%53383914261383.3%9.5%91.8%101.4LUCKY
25PanthersPanthers1100000043121.000459000220512817601912630600.00%30100.00%11287249451.60%1293255550.61%593118350.13%231622713757.1%7.8%84.2%92.1Unlucky
26IslandersIslanders1000010023-110.500246000020278316044762711100.00%30100.00%01287249451.60%1293255550.61%593118350.13%241626813625.0%7.4%93.2%100.6DULL
27PenguinsPenguins1000000123-110.5002350011012578765081420000.00%6183.33%01287249451.60%1293255550.61%593118350.13%221428714750.0%8.0%94.0%102.0DULL
28KrakenKraken31100100811-330.5008142200323010929314811072618631317.69%9366.67%01287249451.60%1293255550.61%593118350.13%73507222381846.7%7.3%89.7%97.1Unlucky
_Vs Division2910150220086109-23260.448861512371030243028662872812935978242264626761215.79%1092477.98%11287249451.60%1293255550.61%593118350.13%66745270021638118646.5%9.9%88.9%98.8FUN
_Vs Conference55172902421150187-37470.427150265415115147485165152552258923186349744111351582616.46%1863581.18%11287249451.60%1293255550.61%593118350.13%1285875132540871835644.9%9.1%90.0%99.0FUN
_Since Last GM Reset75253702722201244-43670.447201351552336968606229374673479430244564859715602133817.84%2595379.54%21287249451.60%1293255550.61%593118350.13%17681208179156098248746.0%8.8%90.0%98.8Unlucky
Total75253702722201244-43670.447201351552336968606229374673479430244564859715602133817.84%2595379.54%21287249451.60%1293255550.61%593118350.13%17681208179156098248746.0%8.8%90.0%98.8Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 2494
Neutral Zone Start 1183
Defensive Zone Start 2555
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3173
Faceoffs Lost 3059
Team Average Shots after League Average Shots after
1st Period 9.99.57
2nd Period 19.720.31
3rd Period 30.330.68
Overtime 30.731.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.81.65
3rd Period 2.62.67
Overtime 2.72.83
Even Strenght Goal 158
PP Goal 38
PK Goal 2
Empty Net Goal 3
Home Away
Win 1811
Lost 1423
Overtime Lost 63
PP Attempt 213
PP Goal 38
PK Attempt 259
PK Goal Against 53
Home
Shots For 30.6
Shots Against 32.6
Goals For 2.7
Goals Against 3.3
Hits 20.8
Shots Blocked 8.6
Pim 8.0