Calgary Flames
39-14-10, 88pts · 3rd 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
1John Tavares Flames C63234669392551702177115710.60%619.1261925172000124060.53%155300001.1501
2Kirill Kaprizov Flames LW/RW6332336537100382588116912.40%519.507916176000304124.05%7900001.0658
3Clayton Keller Flames C/LW/RW632437613940252206215010.91%318.512131514100046129.29%9900011.0512
4Jack Hughes Flames C/LW63263359100191935415013.47%318.4111102117200004551.31%125700001.0228
5Tim Stutzle Flames C/LW63223153-23551561825015012.09%519.134913146000455045.85%38600000.8815
6Dylan Guenther Flames RW63183048110060190581279.47%517.703101314400002033.33%6300000.8600
7Neal Pionk Flames D63103040838010310536719.52%8722.67651115600015221-%000000.5600
8Shea Theodore Flames D636323815140676823438.82%6222.2658131650001510-%000000.5400
9Luke Hughes Flames D6310213110401570305514.29%4715.78312151651015213-%000000.6200
10Vladislav Gavrikov Flames D636202683601426719458.96%13723.27101800015200-%000100.3500
11Mario Ferraro Flames D63422261070201187120395.63%9018.99000000011200-%000000.4300
12Elias Lindholm Flames C/RW6371926-88034139421035.04%1213.660000022852060.81%103600000.6000
13Dmitri Voronkov Flames C/RW63131225-1122047165431087.88%614.70641015200001435.85%5300010.5400
14Johnathan Kovacevic Flames D6351823064012650102510.00%8315.38000001113812-%000000.4700
15Alex Laferriere Flames RW636814-11220617424698.11%412.27000100001127.66%4700000.3600
16Christian Dvorak Flames C634610-50006222576.45%139.3400010001921057.05%80100000.3401
17Jordan Greenway Flames LW/RW55538-640105743113111.63%119.60000110001600129.17%4800000.3000
18Jack McBain Flames C/LW/RW63527-440105148133710.42%37.460001112780062.50%3200000.3000
19Alex Petrovic Heat (CGY) D50000000000-%00.290000000100-%000000.0000
20Jack Drury Heat (CGY) C300020012130.00%08.820000000600-%000000.0000
Moyenne d'équipe11342264036291234425012902224670158910.16%58216.50549915316192461241351954.71%545400120.67925
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
1Dustin Wolf Flames 58361190.9122.6934608215517630010.68025585422
2Jake Allen Flames 73310.9003.283660020201000-0558001
Moyenne d'équipe653914100.9112.7438278217519640010.680256363423
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
1SabresSabres1100000040247110122004616181202356246230012272259120821225499951.00033.33%100.00%54.32%56.93%55.18%2718197137100.0%8.7%100.0%108.7DULL
2BruinsBruins2200000093491726005130622522150441910575250012272259120821225499951.00040.00%100.00%54.32%56.93%55.18%46324814251370.0%14.5%93.2%107.7LUCKY
3RangersRangers10001000322369000111239842372227151161012272259120821225499951.000100.00%83.33%54.32%56.93%55.18%201429712566.7%13.0%94.6%107.6LUCKY
4PredatorsPredators2010000179171421002140762814307482543411320012272259120821225499950.25027.27%100.00%54.32%56.93%55.18%58434013261330.8%9.2%81.3%90.5FUN
5Red WingsRed Wings101000004504711002020299128026106182130012272259120821225499950.00050.00%100.00%54.32%56.93%55.18%251719714737.5%13.8%80.8%94.6FUN
6JetsJets20200000170123000010591520240701821389083012272259120821225499950.0000.00%62.50%54.32%56.93%55.18%44285015251320.0%1.7%90.0%91.7Unlucky
7HurricanesHurricanes20200000460471100112056171524053196344031012272259120821225499950.0000.00%66.67%54.32%56.93%55.18%45304715271344.4%7.1%88.7%95.8Unlucky
8CapitalsCapitals100000106526814003112421551681976262032012272259120821225499951.0000.00%33.33%54.32%56.93%55.18%282023712666.7%14.3%73.7%88.0FUN
9CanadiensCanadiens10001000432481200111131108121461012212161012272259120821225499951.00050.00%83.33%54.32%56.93%55.18%211427713660.0%12.9%93.5%106.4LUCKY
10FlyersFlyers10000010432461000111135812125361015293130012272259120821225499951.00033.33%100.00%54.32%56.93%55.18%271923713750.0%11.4%91.7%103.1LUCKY
11SharksSharks54000001201292033530089321806460557165473290125144112272259120821225499950.90041.67%71.43%54.32%56.93%55.18%1218411538673565.2%11.1%92.7%103.8LUCKY
12Black HawksBlack Hawks4200020011106112132013530142475144099303067173142012272259120821225499950.75017.65%85.71%54.32%56.93%55.18%107778228502650.0%7.7%89.9%97.6Unlucky
13AvalancheAvalanche4300010012971220320052501315138420129422281122101012272259120821225499950.87516.67%90.00%54.32%56.93%55.18%96689628482455.6%9.2%93.0%102.2LUCKY
14DucksDucks42000200161161630460073601243344470155373993113172012272259120821225499950.75027.27%88.24%54.32%56.93%55.18%896110230502559.1%12.9%92.9%105.8LUCKY
15OilersOilers321000001174111728003710102353928010230316272124012272259120821225499950.66728.57%66.67%54.32%56.93%55.18%69467022401975.0%10.8%93.1%103.9LUCKY
16SenateursSenateurs1100000042248120021102911513033124224120012272259120821225499951.00025.00%100.00%54.32%56.93%55.18%221624712660.0%13.8%93.9%107.7LUCKY
17Maple LeafsMaple Leafs110000004224812001120281061202746225230012272259120821225499951.00040.00%100.00%54.32%56.93%55.18%241723712550.0%14.3%92.6%106.9LUCKY
18CanucksCanucks10100000250235000200331311902930185000012272259120821225499950.0000.00%0.00%54.32%56.93%55.18%251820613728.6%6.1%82.8%88.8Unlucky
19WildWild1000100054251015000221268512134187212010012272259120821225499951.0000.00%100.00%54.32%56.93%55.18%191229712655.6%19.2%88.2%107.5FUN
20BluesBlues40200110913391221001251155534555412531127210162012272259120821225499950.37510.00%66.67%54.32%56.93%55.18%100739528492442.1%5.8%89.6%95.4Unlucky
21KingsKings541000001912819365510973016859555401423531100147121012272259120821225499950.80050.00%91.67%54.32%56.93%55.18%1258911034633252.2%11.3%91.5%102.9LUCKY
22Golden KnightsGolden Knights3200000117155173249006741151545045612632155414751012272259120821225499950.83350.00%80.00%54.32%56.93%55.18%79586720372041.7%11.3%88.1%99.4FUN
23StarsStars53200000211162138590078601865864640135362999163120012272259120821225499950.60018.75%100.00%54.32%56.93%55.18%1279110837633262.1%11.3%91.9%103.1LUCKY
24DevilsDevils1100000054257120031104820121602544171111012272259120821225499951.000100.00%0.00%54.32%56.93%55.18%272020612657.1%10.4%84.0%94.4FUN
25PanthersPanthers1100000031235800111034118150381518407280112272259120821225499951.00028.57%100.00%54.32%56.93%55.18%221425812650.0%8.8%97.4%106.2DULL
26PenguinsPenguins110000005325813001220407201303646224130012272259120821225499951.00025.00%100.00%54.32%56.93%55.18%251822712557.1%12.5%91.7%104.2LUCKY
27KrakenKraken5210001120167203353007662188576555171635751114153162012272259120821225499950.70020.00%87.50%54.32%56.93%55.18%1218412337653154.8%10.6%90.2%100.8FUN
_Vs Division261640021310578391051842891040412359463153242933088224119953178277614112272259120821225499950.75034.62%81.58%54.32%56.93%55.18%63244361018933817154.9%11.1%91.2%102.3LUCKY
_Vs Conference482411016241711416417130147211586149717215755615644215224413249431553912922112272259120821225499950.66725.16%82.95%54.32%56.93%55.18%1187840111434861531252.6%9.9%90.7%100.7FUN
_Since Last GM Reset63321403644230180882304036331281756712222474371273658196558245012902015417828212272259120821225499950.69826.87%84.27%54.32%56.93%55.18%15521094146945880941153.7%10.3%90.8%101.2FUN
Total63321403644230180882304036331281756712222474371273658196558245012902015417828212272259120821225499950.69826.87%84.27%54.32%56.93%55.18%15521094146945880941153.7%10.3%90.8%101.2FUN

Puck Time
Offensive Zone 24
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2259
Neutral Zone Start 995
Defensive Zone Start 2122
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 2984
Faceoffs Lost 2392
Team Average Shots after League Average Shots after
1st Period 11.89.57
2nd Period 23.120.31
3rd Period 34.830.68
Overtime 35.731.4
Goals in Team Average Goals after League Average Goals after
1st Period11.89.57
2nd Period23.120.31
3rd Period34.830.68
Overtime35.731.4
Even Strength Goal173
PP Goal54
PK Goal2
Empty Net Goal1
Home Away
Win 2415
Lost 311
Overtime Lost 46
Win2415
Lost311
Overtime Lost46
Home
Shots For35.3
Shots Against31.2
Goals For3.7
Goals Against2.9
Hits20.5
Shots Blocked9.2
Pim7.1