Edmonton Oilers
46-12-5, 97pts · 1st in Ouest
STATISTIQUE
Astuces sur les Filtres
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
1Adrian Kempe Oilers C/LW/RW63363773252801382597319713.90%1220.7691423170000735138.51%16100001.1201
2Ryan Nugent-Hopkins Oilers C/LW632834623240312587115710.85%1720.87510151400221703151.60%25000010.9400
3Leon Draisaitl Oilers C/LW/RW59213859138031252801958.33%520.36681415300044157.58%145200000.9800
4Tomas Hertl Oilers C/LW63163854233010105189451188.47%418.9331215156000643157.37%148500000.9111
5Victor Hedman Oilers D6210415154758179285012.66%6218.963710730001511-%000100.8700
6Thomas Harley Oilers D63153247232060126306011.90%8923.4687151540009831-%000000.6400
7Kent Johnson Oilers C/LW6323214490072145414210.75%717.8366121490001710030.97%11300000.7835
8Darnell Nurse Oilers D637263325751514356253912.50%7918.511678801115820-%000000.5700
9Trevor Zegras Oilers C/LW631022326200105145431006.90%415.54371014000053128.00%5000000.6515
10Jake Neighbours Oilers LW631022326561014112937957.75%716.89461013600003022.54%7100000.6012
11Jakob Chychrun Oilers D6342428202751039024594.44%5220.5429111740004700-%000000.4300
12Ryan Poehling Oilers C/LW6313102382040105197012.38%914.9100041011482250.30%117300010.4901
13Yegor Sharangovich Oilers C/LW/RW63811190602310414787.69%612.4300015000293038.46%7800100.4900
14Dylan Samberg Oilers D55610161020011159102610.17%9520.11000010112901-%000000.2900
15Brian Dumoulin Oilers D634111524100233142412.90%7216.15000301111900-%000000.2900
16Simon Edvinsson (R) Oilers D5028102953094722.22%144.310000000001-%000000.9300
17Peyton Krebs Oilers C/LW2226866040297136.90%312.650111200001047.27%22000000.5800
18Radek Faksa Oilers C/LW582352160554312414.65%89.100000000540259.00%42200000.1900
19James van Riemsdyk Oilers LW57224-540103713285.41%16.69000000000037.50%2400000.2100
20Nicholas Robertson Barons (EDM) LW1303302058270.00%08.31000000000033.33%600000.5600
21Miles Wood Barons (EDM) LW/RW201112063010.00%016.18000000000050.00%200000.6200
Moyenne d'équipe1134219400619214404501288222559515079.84%54616.48509314315722461137431353.19%550700220.66615
Astuces sur les Filtres
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
1Andrei Vasilevskiy Oilers 5341920.9342.08314215410916410130.786145310931
2Joel Blomqvist Oilers 115330.8953.3566220373530010.00021051010
Moyenne d'équipe64461250.9272.30380517414619940140.688166361941
Astuces sur les Filtres
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
1BruinsBruins100001002312460010103710161102474214020012322255116622055319930.5000.00%100.00%54.63%52.88%53.47%271919613740.0%5.4%87.5%92.9Unlucky
2RangersRangers210001005535914001130953220430581610334040012322255116622055319930.7500.00%100.00%54.63%52.88%53.47%51364314251350.0%5.3%91.4%96.6DULL
3PredatorsPredators54100000211482138591179501705653610174495398176203112322255116622055319930.80035.29%85.00%54.63%52.88%53.47%1147912335623157.7%12.4%92.0%104.3LUCKY
4Red WingsRed Wings2100000175371320002320652221204631821324142012322255116622055319930.75025.00%50.00%54.63%52.88%53.47%51364514271466.7%10.8%92.1%102.8LUCKY
5JetsJets211000004424711101120661525260641910487050012322255116622055319930.5000.00%100.00%54.63%52.88%53.47%50344413251250.0%6.1%93.8%99.8DULL
6HurricanesHurricanes1010000023024600101026135803574263120012322255116622055319930.00033.33%100.00%54.63%52.88%53.47%221524712625.0%7.7%91.4%99.1DULL
7CapitalsCapitals11000000202235010110376131802974243120012322255116622055319931.00033.33%100.00%54.63%52.88%53.47%2517226126100.0%5.4%100.0%105.4DULL
8CanadiensCanadiens110000003223690011102899100311012194151012322255116622055319931.00025.00%80.00%54.63%52.88%53.47%231624711566.7%10.7%93.5%104.3LUCKY
9LightningLightning1010000005000000000026517403788222042012322255116622055319930.0000.00%50.00%54.63%52.88%53.47%24162271260.0%0.0%86.5%86.5Unlucky
10FlyersFlyers211000006726121800321052171916066206413130012322255116622055319930.50033.33%100.00%54.63%52.88%53.47%41285014271341.7%11.5%89.4%100.9FUN
11SharksSharks3200000112751221330074121134830329883115559340012322255116622055319930.83333.33%100.00%54.63%52.88%53.47%73527023402056.3%10.6%92.0%102.7LUCKY
12Black HawksBlack Hawks2110000054257120032008024352104710163212172012322255116622055319930.5008.33%71.43%54.63%52.88%53.47%52364115251266.7%6.3%91.5%97.7DULL
13AvalancheAvalanche43100000131061325381181401464835630123362669175121012322255116622055319930.75029.41%91.67%54.63%52.88%53.47%98699129502547.1%8.9%91.9%100.8LUCKY
14DucksDucks4300100013781323360063311564651563155382093144101012322255116622055319931.00028.57%90.00%54.63%52.88%53.47%896010329512660.0%8.3%95.5%103.8DULL
15SenateursSenateurs1010000036036900120037131014036136171032012322255116622055319930.0000.00%33.33%54.63%52.88%53.47%251721613642.9%8.1%83.3%91.4Unlucky
16Maple LeafsMaple Leafs110000006226111700231027911702664182020012322255116622055319931.0000.00%100.00%54.63%52.88%53.47%251820713675.0%22.2%92.3%114.5LUCKY
17CanucksCanucks2200000094491827005130712222270631210515151012322255116622055319931.00020.00%80.00%54.63%52.88%53.47%39265315261372.7%12.7%93.7%106.3LUCKY
18WildWild52100110131271321341063311584656499165442212472110012322255116622055319930.70028.57%100.00%54.63%52.88%53.47%1168012533623147.8%8.2%92.7%101.0DULL
19BluesBlues2200000074471219002230862424380621210365251012322255116622055319931.00040.00%80.00%54.63%52.88%53.47%48344513251262.5%8.1%93.5%101.7DULL
20KingsKings33000000146614253900545010428413509817166112380012322255116622055319931.00025.00%100.00%54.63%52.88%53.47%67447223401964.7%13.5%93.9%107.3LUCKY
21Golden KnightsGolden Knights5400001028101028497700712822075273804177562598228101012322255116622055319931.00036.36%90.00%54.63%52.88%53.47%1238611537663469.0%13.5%94.4%107.9LUCKY
22StarsStars210000109549152400233194193539455168469230012322255116622055319931.00022.22%100.00%54.63%52.88%53.47%56404414241258.3%9.6%90.9%100.5FUN
23FlamesFlames31200000711271320002410102414318010221215812472012322255116622055319930.33333.33%71.43%54.63%52.88%53.47%70476922402025.0%6.9%89.2%96.1Unlucky
24PanthersPanthers2200000072471320013130502112170592224341062112322255116622055319931.0000.00%66.67%54.63%52.88%53.47%443049142513100.0%14.0%96.6%110.6LUCKY
25IslandersIslanders110000003223580011103161411030104230020012322255116622055319931.0000.00%100.00%54.63%52.88%53.47%251719715760.0%9.7%93.3%103.0LUCKY
26PenguinsPenguins1100000042248120021103717911031106245132012322255116622055319931.00020.00%33.33%54.63%52.88%53.47%2215247126100.0%10.8%93.5%104.4LUCKY
27KrakenKraken43100000171061732490044901243543460100315685113111012322255116622055319930.75027.27%90.91%54.63%52.88%53.47%88589931522460.9%13.7%90.0%103.7FUN
_Vs Division24183010111005541100181281003632305877272303294167832061635018526556012322255116622055319930.85430.59%89.09%54.63%52.88%53.47%55137658418231816060.2%11.4%93.0%104.4LUCKY
_Vs Conference46328011311721087417230647842655350716775045665912914733923089541594411813112322255116622055319930.80427.67%88.98%54.63%52.88%53.47%1088751110033859530157.4%10.3%92.7%102.9LUCKY
_Since Last GM Reset6342120133222215297222400622448369667222568474278133199854642112881955016024212322255116622055319930.77025.64%85.00%54.63%52.88%53.47%15021037148946181941357.3%10.0%92.4%102.4LUCKY
Total6342120133222215297222400622448369667222568474278133199854642112881955016024212322255116622055319930.77025.64%85.00%54.63%52.88%53.47%15021037148946181941357.3%10.0%92.4%102.4LUCKY

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 2255
Neutral Zone Start 993
Defensive Zone Start 2205
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 2929
Faceoffs Lost 2524
Team Average Shots after League Average Shots after
1st Period 10.99.57
2nd Period 22.620.31
3rd Period 35.030.68
Overtime 35.631.4
Goals in Team Average Goals after League Average Goals after
1st Period10.99.57
2nd Period22.620.31
3rd Period35.030.68
Overtime35.631.4
Even Strength Goal166
PP Goal50
PK Goal2
Empty Net Goal4
Home Away
Win 2422
Lost 210
Overtime Lost 23
Win2422
Lost210
Overtime Lost23
Home
Shots For35.3
Shots Against31.7
Goals For3.5
Goals Against2.4
Hits20.4
Shots Blocked8.7
Pim6.7