Calgary Flames
47-32-5, 99pts · 6th 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
1Tim StutzleFlamesFlamesC/LW84275279236101712506920110.80%1920.4851621224000855145.38%214200000.9214
2Kirill KaprizovFlamesFlamesLW/RW843034640180913461132358.67%820.8871118252101579230.77%15600010.7305
3Jack HughesFlamesFlamesC/LW81263763-76031312982508.33%1019.565111621700094540.87%59700010.8024
4Dylan GuentherFlamesFlamesRW842727544180692385119211.34%816.46961521000003124.27%10300000.7800
5Luke Hughes (R)FlamesFlamesD84637430320548219507.32%5920.53471124401163300.00%000000.5000
6Ryan HartmanFlamesFlamesC/RW8019244352201311796014210.61%1916.9257121461011220352.90%108500100.6402
7Roman JosiFlamesFlamesD78103141-24773512912148698.26%8823.125101522900036110.00%000000.4500
8Mario FerraroFlamesFlamesD8493140-578018984336010.71%15320.9412328000185000.00%000000.4500
9Nick LeddyFlamesFlamesD84142539-10340114120387611.67%17123.588715213011186200.00%000000.3900
10Vladislav GavrikovFlamesFlamesD80728357360738624548.14%10219.84178125000169200.00%000000.4400
11Vladimir TarasenkoFlamesFlamesLW/RW8472532-831564196431333.57%614.6117819400000036.59%8200000.5200
12Quinton ByfieldFlamesFlamesC84121830-931569159351007.55%812.99101000003236.94%120200000.5500
13Jordan GreenwayFlamesFlamesLW/RW84121224-1457516013141999.16%2013.45011290001975033.07%12700000.4200
14Nick BoninoFlamesFlamesC8481119-72353912435926.45%1510.53134161122420150.70%127800100.4300
15Johnathan KovacevicFlamesFlamesD84513181166101234674410.87%10314.840006011172100.00%000000.2900
16Matthew Poitras (R)FlamesFlamesC7151015420266519407.69%29.52000000001053.07%37500000.4400
17Mark JankowskiFlamesFlamesC846511-720216720478.96%78.790006000990034.62%5200000.3000
18Andrew PeekeFlamesHeat (CGY)D19235010023216109.52%1914.520111400022010.00%000100.3600
19Hugh McGingFlamesFlamesC32101-2401781512.50%26.93000000001055.00%2000000.0900
Moyenne d'équipe1449233423656-60583751594263576018998.84%81916.66539614921623471651401745.09%721900320.54315
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
1Juuse SarosFlamesFlames74362560.9033.0640954420921610310.667127112533
2Dustin WolfFlamesFlames61100.9044.1515900111140000.0000183000
3Yaroslav AskarovFlamesFlames10100.8575.6653005350000.000010000
Moyenne d'équipe 813727 6 0.9033.1343084422523100310.667127395533
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
1SabresSabres1100000042221.0004711002110361116902674224125.00%2150.00%01342295345.45%1333297244.85%611136144.89%241721713675.0%11.1%92.3%103.4LUCKY
2BruinsBruins2010100045-120.500461000201171151340344151233900.00%50100.00%01342295345.45%1333297244.85%611136144.89%55394114251244.4%5.6%88.6%94.3Unlucky
3RangersRangers1100000042221.000481200022030105150327630100.00%20100.00%01342295345.45%1333297244.85%611136144.89%201425713766.7%13.3%93.8%107.1LUCKY
4PredatorsPredators420020001713481.00017304700744214137544641634319771218.33%7271.43%01342295345.45%1333297244.85%611136144.89%97699829512559.3%12.1%92.0%104.1LUCKY
5Red WingsRed Wings1000010023-110.5002460002003611121303484194125.00%2150.00%01342295345.45%1333297244.85%611136144.89%271820612633.3%5.6%91.2%96.7DULL
6JetsJets422000001512340.500152641006450132535128012430277414428.57%11190.91%11342295345.45%1333297244.85%611136144.89%93649328532650.0%11.4%90.3%101.7FUN
7HurricanesHurricanes2020000047-300.0004711001120581723180561543014214.29%10100.00%01342295345.45%1333297244.85%611136144.89%48334415261322.2%6.9%87.5%94.4Unlucky
8CapitalsCapitals1010000036-300.0003580012003414101003199203266.67%220.00%01342295345.45%1333297244.85%611136144.89%201326613620.0%8.8%80.6%89.5Unlucky
9CanadiensCanadiens1010000023-100.00023500110037518140245215300.00%10100.00%01342295345.45%1333297244.85%611136144.89%302217512740.0%5.4%87.5%92.9Unlucky
10LightningLightning20101000911-220.50091524002331773015311761912397114.29%6266.67%01342295345.45%1333297244.85%611136144.89%43294915271347.1%11.7%85.5%97.2FUN
11FlyersFlyers1010000014-300.00012300010030158703313225100.00%10100.00%01342295345.45%1333297244.85%611136144.89%241623612620.0%3.3%87.9%91.2Unlucky
12SharksSharks541000001513280.800152742003750209587873013937249624625.00%40100.00%01342295345.45%1333297244.85%611136144.89%1319510434633240.9%7.2%90.6%97.8Unlucky
13Black HawksBlack Hawks44000000169781.000163046007540115413440015132267414642.86%13376.92%01342295345.45%1333297244.85%611136144.89%93659529512662.5%13.9%94.0%108.0LUCKY
14AvalancheAvalanche523000001015-540.400101929004330160604753016849201151317.69%9277.78%01342295345.45%1333297244.85%611136144.89%1178311935622940.9%6.3%91.1%97.3Unlucky
15DucksDucks622000201516-180.66715233801535216554475712229715613517423.53%22386.36%01342295345.45%1333297244.85%611136144.89%1389315344783845.8%9.1%93.0%102.1LUCKY
16OilersOilers522001001314-150.5001323360025601514361452145533411219526.32%16568.75%01342295345.45%1333297244.85%611136144.89%1127712936613047.1%8.6%90.3%99.0Unlucky
17SenateursSenateurs1000100054121.000591400031136111211251131014300.00%5180.00%01342295345.45%1333297244.85%611136144.89%251726811562.5%13.9%92.2%106.0LUCKY
18Maple LeafsMaple Leafs1010000012-100.0001230010002615380257994125.00%20100.00%01342295345.45%1333297244.85%611136144.89%20132581360.0%3.8%92.0%95.8DULL
19CanucksCanucks540000011611590.9001630460076301795862575190473211017317.65%15193.33%11342295345.45%1333297244.85%611136144.89%1157912637633256.5%8.9%94.2%103.1Unlucky
20WildWild41300000813-520.2508152300224012534484301183726659222.22%12191.67%01342295345.45%1333297244.85%611136144.89%886010129492433.3%6.4%89.0%95.4Unlucky
21BluesBlues403000011120-910.12511193000236010947362271523738848112.50%19763.16%01342295345.45%1333297244.85%611136144.89%875910430532443.5%10.1%86.8%96.9FUN
22KingsKings532000001518-360.60015294400456017452744801726060826233.33%20765.00%01342295345.45%1333297244.85%611136144.89%1157912035632954.2%8.6%89.5%98.2Unlucky
23Golden KnightsGolden Knights531010001510580.800152439014551176575563113137489113538.46%14471.43%01342295345.45%1333297244.85%611136144.89%1238711436633162.5%8.5%92.4%100.9DULL
24StarsStars523000001618-240.400162945107540206558170015647358419315.79%14564.29%11342295345.45%1333297244.85%611136144.89%1238811434613150.0%7.8%88.5%96.2Unlucky
25DevilsDevils1000100065121.00061117002211441092143811628200.00%3233.33%01342295345.45%1333297244.85%611136144.89%261825713666.7%13.6%86.8%100.5FUN
26PanthersPanthers1100000041321.000471100103034413170241312257114.29%60100.00%01342295345.45%1333297244.85%611136144.89%221424812675.0%11.8%95.8%107.6LUCKY
27IslandersIslanders1100000032121.0003580020105230913022742310110.00%20100.00%01342295345.45%1333297244.85%611136144.89%271919712650.0%5.8%90.9%96.7Unlucky
28PenguinsPenguins1100000042221.0004711000220411117130162717400.00%10100.00%01342295345.45%1333297244.85%611136144.89%251820713766.7%9.8%87.5%97.3FUN
29KrakenKraken522000011818050.500183351005851164534762516750409112433.33%18477.78%01342295345.45%1333297244.85%611136144.89%1218211834653350.0%11.0%89.2%100.2FUN
_Vs Division362010011221071007490.68110718929602303935412183754244052511733552947171082926.85%1092477.98%11342295345.45%1333297244.85%611136144.89%85859686725845922850.6%8.8%91.5%100.3DULL
_Vs Conference663324031232002000800.606200357557126565656220670277570736220563048512901974723.86%1944576.80%31342295345.45%1333297244.85%611136144.89%15601087159447584141749.7%9.1%90.9%100.0FUN
_Since Last GM Reset84383207223256259-3990.5892564557111280858210284891195894746273778158816392735720.88%2355477.02%31342295345.45%1333297244.85%611136144.89%200413952008607107553649.3%9.0%90.5%99.5FUN
Total84383207223256259-3990.5892564557111280858210284891195894746273778158816392735720.88%2355477.02%31342295345.45%1333297244.85%611136144.89%200413952008607107553649.3%9.0%90.5%99.5FUN

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 2953
Neutral Zone Start 1361
Defensive Zone Start 2972
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3286
Faceoffs Lost 4000
Team Average Shots after League Average Shots after
1st Period 10.89.57
2nd Period 22.320.31
3rd Period 33.530.68
Overtime 34.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.00.64
2nd Period 2.01.65
3rd Period 2.92.67
Overtime 3.12.83
Even Strenght Goal 195
PP Goal 57
PK Goal 3
Empty Net Goal 1
Home Away
Win 2819
Lost 1418
Overtime Lost 05
PP Attempt 273
PP Goal 57
PK Attempt 235
PK Goal Against 54
Home
Shots For 33.9
Shots Against 32.6
Goals For 3.0
Goals Against 3.1
Hits 19.5
Shots Blocked 9.3
Pim 7.0