Flames

GP: 78 | W: 43 | L: 23 | OTL: 12 | P: 98
GF: 231 | GA: 207 | PP%: 20.28% | PK%: 79.86%
GM : Benoit Talbot | Morale : 81 | Team Overall : 69
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# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Patrik Laine (R)X100.006542848684869789577498625687589383770
2Dylan LarkinX100.006745808775929782898480686465638484760
3Devin SetoguchiX100.008849846177798181647582747699814672730
4Jake Guentzel (R)X100.007743808563869980747273655473546484720
5Jeremy MorinX100.007356766474807972687876647276795685700
6Danton Heinen (R)X100.006241868270829578667667675368525962700
7Joel Armia (R)X100.006741807279809472656967705770548183690
8Oscar Lindberg (R)X100.006741817274788677807274635873545981690
9Adrian Kempe (R)X100.006844737674819673786970635472527983690
10Devin Shore (R)X100.006341867673849870717065666668565384680
11Jeremy WilliamsX100.00191996473545773376285758399995958670
12Daniel Carr (R)X100.006142806969767568556766635366523781640
13Matt Dumba (R)X100.007543848166939879309081796275708585770
14Jamie McBainX100.005321996978747394558677866981793484750
15Mark PysykX100.007142846973839576306970786166587782710
16Andrew Campbell (R)X100.008544686779858688495245814560614473710
17Haydn Fleury (R)X100.007041856684788666306765705262518782670
18Thomas Chabot (R)X100.006342846574779073306974625270518382660
Scratches
1Alan Quine (R)X100.006841827072776862796358635862527119620
2Andreas Martinsen (R)X100.007445646086649357505962645558533650620
3Michael McCarron (R)X100.007151536193639158545956665256518120610
4Darren Dietz (R)X100.009949786475678769256153685053494919660
5Julian Melchiori (R)X100.004931846680576381254647695466734218630
6Jim VandermeerX100.00999916078828435123339544699992219620
7Rinat Valiev (R)X100.006743735184527658305756625057506620590
TEAM AVERAGE100.00694377707676867252676768587162626468
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Johan Holmqvist100.00685975787496969696779099992183810
2Alexandar Georgiev (R)100.00737297737690818080715072624444760
Scratches
1Magnus Hellberg (R)100.00718682847281728173707479785554760
2Jared Coreau (R)100.00717180917181777676705167613719740
3Spencer Martin (R)100.00575573807070656867725658528719650
TEAM AVERAGE100.0068698181738478807872647570494474
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Darryl Sutter99968396999993CAN6012,000,000$


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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
# Player Name Team NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Patrik LaineFlames (CGY)RW78445094132201681753799919011.61%39172422.1114203450242202132616244.90%6088338121.093180009106
2Dylan LarkinFlames (CGY)C78295685145001601882417715612.03%38171221.961220323724201142427254.96%18256725100.99218000686
3Matt DumbaFlames (CGY)D72124557928012413317071687.06%97169323.53102232412660112212200.00%05650000.6700000330
4Jake GuentzelFlames (CGY)LW78242650125601811052345712010.26%26140217.985813312110000347355.45%1105925020.7101000534
5Jeremy MorinFlames (CGY)LW7225184388515160831674710714.97%35133118.5098171916710131243453.19%942125210.6527210451
6Danton HeinenFlames (CGY)C75152237-5240117153216611216.94%33128417.123710171720001422246.47%11902622000.5800000232
7Alexander WennbergFlamesC51122335-211207311317339856.94%1794618.5551419311460005741255.48%1058279000.7426000311
8Mark PysykFlames (CGY)D78328311930012513710433392.88%103171722.0200051800002191000.00%02351000.3602000112
9Devin SetoguchiFlames (CGY)RW7315163108014885167541008.98%29129217.71426151820004422147.52%1012123000.4805000202
10Jamie McBainFlames (CGY)D6992130-3806212412461587.26%101165023.926915282200004221140.00%03448000.3601000032
11Oscar LindbergFlames (CGY)C7871825312010686179511313.91%3196612.39000260000221253.34%6583715000.5211000002
12Joel ArmiaFlames (CGY)RW78141024522010165128437210.94%2396212.341012130001112356.10%412620000.5000000212
13Adrian KempeFlames (CGY)LW7813720-63201246815941898.18%2295412.241122200004371148.33%602713010.4200000122
14Daniel CarrFlames (CGY)LW78951415220864370124412.86%137369.440001500001580025.00%121010000.3800000000
15Devin Shore Flames (CGY)C787613610042428624518.14%105487.03000120112141047.22%1801414000.4701000001
16Jeremy WilliamsFlames (CGY)RW5839125201387325514.11%63906.7400003000000033.33%998000.6133000100
17Thomas ChabotFlames (CGY)D7811112934074906423221.56%55126316.19000244000051000.00%01734000.1900000000
18Andrew CampbellFlames (CGY)D761891311151531197627341.32%89151319.910002900000143000.00%0552000.1200000000
19Haydn FleuryFlames (CGY)D741345120941056116221.64%79123116.65000136000066010.00%0847000.0600000000
20Darren DietzFlames (CGY)D150221112024107060.00%1622915.320000000008000.00%008000.1700000000
21Andreas Martinsen Flames (CGY)RW55011-140341893100.00%92284.1600001000020050.00%213000.0900000000
22Julian MelchioriFlames (CGY)D2000120213000.00%23216.330000000004000.00%004000.0000000000
23Alan QuineFlames (CGY)C24000100312000.00%0180.7800003000000037.50%800000.0000000000
24Michael McCarron Flames (CGY)RW25000100621140.00%0512.04000000000360027.27%1101000.0000000000
Team Total or Average15212443856291145982021681984289386515808.43%8732388515.70701111812872308336461907362751.55%5967571545460.531363210394033
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Johan HolmqvistFlames (CGY)744221110.9242.4044488217823561007410.800657441376
2Magnus HellbergFlames (CGY)71210.9093.293280018197104000.3333451010
Team Total or Average814323120.9232.4647778219625531111410.7796878551386


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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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adrian KempeFlames (CGY)LW221996-09-13 05:44:01Yes195 Lbs6 ft2NoNoNo2ELCPro & Farm894,167$0$0$No
Alan QuineFlames (CGY)C261993-02-25 18:35:24Yes203 Lbs6 ft0NoNoNo1RFAPro & Farm620,000$0$0$No
Alexandar GeorgievFlames (CGY)G231996-02-10 10:25:08Yes180 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$No
Andreas Martinsen Flames (CGY)RW281990-06-12 18:37:17Yes220 Lbs6 ft3NoNoNo1RFAPro & Farm743,000$0$0$No
Andrew CampbellFlames (CGY)D311988-02-04 05:11:13Yes212 Lbs6 ft4NoNoNo3UFAPro & Farm1,250,000$0$0$No
Daniel CarrFlames (CGY)LW271991-10-31 07:15:35Yes194 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$No
Danton HeinenFlames (CGY)C231995-07-05 09:18:29Yes188 Lbs6 ft1NoNoNo2RFAPro & Farm872,500$0$0$No
Darren DietzFlames (CGY)D251993-07-16 06:42:37Yes206 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$0$0$No
Devin SetoguchiFlames (CGY)RW321987-01-01 23:11:13No213 Lbs6 ft0NoNoNo3UFAPro & Farm1,500,000$0$0$No
Devin Shore Flames (CGY)C241994-07-18 18:38:49Yes205 Lbs6 ft0NoNoNo1RFAPro & Farm870,000$0$0$No
Dylan LarkinFlames (CGY)C221996-07-30 10:22:37No198 Lbs6 ft1NoNoNo1ELCPro & Farm1,425,000$0$0$No
Haydn FleuryFlames (CGY)D221996-07-08 04:00:49Yes221 Lbs6 ft3NoNoNo3ELCPro & Farm1,713,330$0$0$No
Jake GuentzelFlames (CGY)LW241994-10-06 05:45:54Yes181 Lbs5 ft11NoNoNo2RFAPro & Farm734,167$0$0$No
Jamie McBainFlames (CGY)D311988-02-25 05:11:13No214 Lbs6 ft2NoNoNo3UFAPro & Farm2,000,000$0$0$No
Jared CoreauFlames (CGY)G271991-11-05 05:47:36Yes220 Lbs6 ft6NoNoNo2RFAPro & Farm612,500$0$0$No
Jeremy MorinFlames (CGY)LW281991-04-16 23:11:13No201 Lbs6 ft1NoNoNo3RFAPro & Farm900,000$0$0$No
Jeremy WilliamsFlames (CGY)RW351984-01-26 05:11:13No198 Lbs5 ft11NoNoNo1UFAPro & Farm600,000$0$0$No
Jim VandermeerFlames (CGY)D391980-02-21 05:11:13No217 Lbs6 ft1NoNoNo1UFAPro & Farm600,000$0$0$No
Joel ArmiaFlames (CGY)RW251993-05-30 11:11:13Yes205 Lbs6 ft3NoNoNo3RFAPro & Farm800,000$0$0$No
Johan HolmqvistFlames (CGY)G401978-05-24 17:11:14No197 Lbs6 ft3NoNoNo1UFAPro & Farm1,500,000$0$0$No
Julian MelchioriFlames (CGY)D271991-12-06 23:11:13Yes196 Lbs6 ft1NoNoNo2RFAPro & Farm575,000$0$0$No
Magnus HellbergFlames (CGY)G281991-04-04 23:11:14Yes192 Lbs6 ft5NoNoNo2RFAPro & Farm800,000$0$0$No
Mark PysykFlames (CGY)D271992-01-11 05:11:13No203 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$0$0$No
Matt DumbaFlames (CGY)D241994-07-25 17:11:13Yes184 Lbs6 ft0NoNoNo2RFAPro & Farm2,000,000$0$0$No
Michael McCarron Flames (CGY)RW241995-03-07 18:40:02Yes230 Lbs6 ft6NoNoNo1RFAPro & Farm1,076,000$0$0$No
Oscar LindbergFlames (CGY)C271991-10-29 23:11:13Yes202 Lbs6 ft1NoNoNo3RFAPro & Farm900,000$0$0$No
Patrik LaineFlames (CGY)RW211998-04-19 05:49:33Yes208 Lbs6 ft5NoNoNo2ELCPro & Farm925,000$0$0$No
Rinat Valiev Flames (CGY)D231995-05-11 18:42:09Yes215 Lbs6 ft3NoNoNo1RFAPro & Farm894,000$0$0$No
Spencer MartinFlames (CGY)G231995-06-08 05:53:37Yes213 Lbs6 ft3NoNoNo2RFAPro & Farm728,333$0$0$No
Thomas ChabotFlames (CGY)D221997-01-30 05:55:22Yes196 Lbs6 ft2NoNoNo2ELCPro & Farm863,333$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3026.67204 Lbs6 ft21.871,001,544$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake GuentzelDylan LarkinPatrik Laine34122
2Jeremy MorinDanton HeinenDevin Setoguchi34122
3Adrian KempeOscar LindbergJoel Armia26122
4Daniel CarrDevin Shore Jeremy Williams6122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJamie McBain34122
2Mark PysykHaydn Fleury34122
3Thomas ChabotAndrew Campbell32122
4Matt DumbaJamie McBain0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jake GuentzelDylan LarkinPatrik Laine60122
2Jeremy MorinDanton HeinenDevin Setoguchi40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJamie McBain60122
2Mark PysykDaniel Carr40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrik LaineDylan Larkin60122
2Devin SetoguchiJake Guentzel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJamie McBain60122
2Mark PysykHaydn Fleury40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Patrik Laine60122Matt DumbaJamie McBain60122
2Dylan Larkin40122Mark PysykHaydn Fleury40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Patrik LaineDylan Larkin60122
2Devin SetoguchiJake Guentzel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJamie McBain60122
2Mark PysykHaydn Fleury40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jake GuentzelDylan LarkinPatrik LaineMatt DumbaJamie McBain
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jake GuentzelDylan LarkinPatrik LaineMatt DumbaJamie McBain
Extra Forwards
Normal PowerPlayPenalty Kill
Oscar Lindberg, Devin Shore , Adrian KempeOscar Lindberg, Devin Shore Adrian Kempe
Extra Defensemen
Normal PowerPlayPenalty Kill
Thomas Chabot, Andrew Campbell, Mark PysykThomas ChabotAndrew Campbell, Mark Pysyk
Penalty Shots
Patrik Laine, Dylan Larkin, Devin Setoguchi, Jake Guentzel, Danton Heinen
Goalie
#1 : Johan Holmqvist, #2 : Alexandar Georgiev


Filter Tips
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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Avalanche43100000161332200000011832110000055060.7501623390071747416145983900809117148452410812433.33%13284.62%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
2Blackhawks40300010615-92010001045-120200000210-820.250681410717474161489839008091171345826106700.00%13469.23%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
3Blues42100001151142100000143121100000118350.6251523380071747416158983900809117135452310914428.57%9277.78%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
4Bruins21000001752110000004131000000134-130.750712190071747416779839008091176820106110110.00%5180.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
5Canadiens21001000743100010004311100000031241.00071017007174741670983900809117753312456116.67%6183.33%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
6Canucks64000020281513320000101477320000101486121.0002847750071747416196983900809117185586817442819.05%35391.43%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
7Capitals211000005501010000013-21100000042220.5005813007174741671983900809117692116407228.57%7271.43%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
8Devils200001107701000010045-11000001032130.75071017007174741666983900809117672414477114.29%7271.43%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
9Ducks602020021317-43010000259-43010200088060.500132033007174741619898390080911721259601641317.69%30583.33%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
10Flyers20100010440100000102111010000023-120.500461000717474166498390080911774201250700.00%6350.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
11Islanders21000010642110000003211000001032141.0006713007174741673983900809117652786914428.57%4250.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
12Kings603000211218-63010001156-130200010712-550.4171219310071747416205983900809117213673414319526.32%17382.35%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
13Maple Leafs22000000725110000003121100000041341.00071320007174741669983900809117461210568112.50%5180.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
14Oilers621000032524130100002813-5320000011711670.58325376200717474162279839008091171946087170401025.00%381268.42%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
15Penguins211000005321010000013-21100000040420.5005813017174741655983900809117571810647228.57%5180.00%11037206650.19%1012201850.15%551109550.32%1758104616907091333663
16Predators431000001073211000004402200000063360.7501015250071747416144983900809117121361411818316.67%70100.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
17Rangers210000017251000000112-11100000060630.750713200171747416709839008091176120105512216.67%50100.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
18Red Wings2110000089-11010000024-21100000065120.50081422007174741661983900809117581712645240.00%6183.33%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
19Sabres211000006511010000024-21100000041320.5006915007174741666983900809117682424554375.00%12375.00%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
20Senateurs22000000734110000003121100000042241.0007916007174741670983900809117582612583133.33%6266.67%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
21Sharks623010001214-23120000067-13110100067-160.500122133007174741622298390080911719072521771500.00%26580.77%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
22Stars41200100711-4211000004402010010037-430.37571219007174741613198390080911713941441075120.00%22386.36%01037206650.19%1012201850.15%551109550.32%1758104616907091333663
Total783123042810231207243913120114810010003918110314213110724980.62823136359412717474162740983900809117255484260021452815720.28%2935979.86%31037206650.19%1012201850.15%551109550.32%1758104616907091333663
24Wild421000011192210000015412110000065150.625111930007174741615498390080911711739181056116.67%9188.89%21037206650.19%1012201850.15%551109550.32%1758104616907091333663
_Since Last GM Reset783123042810231207243913120114810010003918110314213110724980.62823136359412717474162740983900809117255484260021452815720.28%2935979.86%31037206650.19%1012201850.15%551109550.32%1758104616907091333663
_Vs Conference541918031581551541279800037707002710100312185841630.58315524439910717474161928983900809117178858045014811913719.37%2194081.74%21037206650.19%1012201850.15%551109550.32%1758104616907091333663
_Vs Division308903046908821535000253842-415540302152466360.60090144234007174741610489839008091179943163018281292418.60%1462880.82%01037206650.19%1012201850.15%551109550.32%1758104616907091333663

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7898W423136359427402554842600214512
All Games
GPWLOTWOTL SOWSOLGFGA
78312342810231207
Home Games
GPWLOTWOTL SOWSOLGFGA
3913121148100100
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3918113142131107
Last 10 Games
WLOTWOTL SOWSOL
710002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2815720.28%2935979.86%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
98390080911771747416
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1037206650.19%1012201850.15%551109550.32%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1758104616907091333663


Last Played Games
Filter Tips
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10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2018-10-0113Oilers3Flames2LXXBoxScore
5 - 2018-10-0323Flames7Oilers4WBoxScore
6 - 2018-10-0425Flames4Sharks2WBoxScore
9 - 2018-10-0743Kings1Flames2WXXBoxScore
12 - 2018-10-1058Sharks1Flames2WBoxScore
16 - 2018-10-1473Ducks5Flames4LXXBoxScore
17 - 2018-10-1583Flames6Canucks3WBoxScore
20 - 2018-10-1897Canucks2Flames6WBoxScore
23 - 2018-10-21108Flames3Ducks2WXBoxScore
24 - 2018-10-22120Flames2Stars3LXBoxScore
27 - 2018-10-25133Wild3Flames2LXXBoxScore
28 - 2018-10-26138Flames1Kings3LBoxScore
31 - 2018-10-29152Oilers7Flames4LBoxScore
33 - 2018-10-31161Flames1Blues3LBoxScore
35 - 2018-11-02171Flames1Blackhawks5LBoxScore
37 - 2018-11-04183Ducks2Flames0LBoxScore
39 - 2018-11-06198Red Wings4Flames2LBoxScore
41 - 2018-11-08204Flames3Islanders2WXXBoxScore
44 - 2018-11-11222Avalanche5Flames6WBoxScore
46 - 2018-11-13228Flames5Wild2WBoxScore
49 - 2018-11-16240Flames6Rangers0WBoxScore
51 - 2018-11-18251Flames1Blackhawks5LBoxScore
53 - 2018-11-20262Canucks4Flames5WXXBoxScore
56 - 2018-11-23277Flyers1Flames2WXXBoxScore
58 - 2018-11-25285Flames2Flyers3LBoxScore
60 - 2018-11-27300Stars3Flames2LBoxScore
62 - 2018-11-29309Flames6Red Wings5WBoxScore
64 - 2018-12-01322Flames3Bruins4LXXBoxScore
67 - 2018-12-04330Senateurs1Flames3WBoxScore
69 - 2018-12-06341Flames2Ducks1WXBoxScore
72 - 2018-12-09356Predators2Flames1LBoxScore
74 - 2018-12-11372Flames3Kings2WXXBoxScore
75 - 2018-12-12378Sharks3Flames2LBoxScore
78 - 2018-12-15392Flames3Devils2WXXBoxScore
80 - 2018-12-17402Kings2Flames1LBoxScore
82 - 2018-12-19412Flames10Blues5WBoxScore
84 - 2018-12-21426Sharks3Flames2LBoxScore
86 - 2018-12-23442Flames4Maple Leafs1WBoxScore
87 - 2018-12-24449Capitals3Flames1LBoxScore
89 - 2018-12-26461Flames3Kings7LBoxScore
91 - 2018-12-28474Devils5Flames4LXBoxScore
94 - 2018-12-31488Flames4Canucks3WXXBoxScore
96 - 2019-01-02497Penguins3Flames1LBoxScore
98 - 2019-01-04509Flames4Sabres1WBoxScore
100 - 2019-01-06521Flames4Penguins0WBoxScore
101 - 2019-01-07526Bruins1Flames4WBoxScore
104 - 2019-01-10544Kings3Flames2LXXBoxScore
106 - 2019-01-12561Flames3Ducks5LBoxScore
108 - 2019-01-14567Flames3Canadiens1WBoxScore
109 - 2019-01-15574Ducks2Flames1LXXBoxScore
112 - 2019-01-18590Flames3Avalanche4LBoxScore
114 - 2019-01-20597Flames4Canucks2WBoxScore
115 - 2019-01-21604Canadiens3Flames4WXBoxScore
118 - 2019-01-24614Flames2Avalanche1WBoxScore
119 - 2019-01-25621Blackhawks3Flames1LBoxScore
123 - 2019-01-29645Wild1Flames3WBoxScore
126 - 2019-02-01657Flames3Oilers4LXXBoxScore
129 - 2019-02-04670Islanders2Flames3WBoxScore
130 - 2019-02-05680Flames7Oilers3WBoxScore
134 - 2019-02-09694Stars1Flames2WBoxScore
137 - 2019-02-12706Flames1Wild3LBoxScore
139 - 2019-02-14717Sabres4Flames2LBoxScore
141 - 2019-02-16721Flames4Senateurs2WBoxScore
145 - 2019-02-20742Predators2Flames3WBoxScore
148 - 2019-02-23761Rangers2Flames1LXXBoxScore
152 - 2019-02-27780Avalanche3Flames5WBoxScore
154 - 2019-03-01788Flames0Sharks4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2019-03-04805Maple Leafs1Flames3WBoxScore
159 - 2019-03-06815Flames4Predators2WBoxScore
161 - 2019-03-08824Flames4Capitals2WBoxScore
164 - 2019-03-11839Oilers3Flames2LXXBoxScore
166 - 2019-03-13852Blues2Flames1LXXBoxScore
168 - 2019-03-15864Flames2Predators1WBoxScore
169 - 2019-03-16871Flames1Stars4LBoxScore
171 - 2019-03-18878Flames2Sharks1WXBoxScore
173 - 2019-03-20886Blues1Flames3WBoxScore
178 - 2019-03-25908Blackhawks2Flames3WXXBoxScore
183 - 2019-03-30929Canucks1Flames3WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price4525
Attendance58,40232,515
Attendance PCT74.87%83.37%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2331 - 77.71% 79,161$3,087,277$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,156,705$ 3,004,633$ 1,689,633$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,241$ 2,971,173$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 27,052$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
137831230428102312072439131201148100100039181103142131107249823136359412717474162740983900809117255484260021452815720.28%2935979.86%31037206650.19%1012201850.15%551109550.32%1758104616907091333663
Total Regular Season7831230428102312072439131201148100100039181103142131107249823136359412717474162740983900809117255484260021452815720.28%2935979.86%31037206650.19%1012201850.15%551109550.32%1758104616907091333663