Flames

GP: 50 | W: 27 | L: 18 | OTL: 5 | P: 59
GF: 131 | GA: 129 | PP%: 17.54% | PK%: 80.81%
GM : Eric Sabourin | Morale : 75 | Team Overall : 69
Next Games #775 vs Blues

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
# 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
1Blake Wheeler (C)XXX100.007452727794879578699177797682915275760
2Phil KesselX100.005238838275839581538679597880825475730
3Nicklas Backstrom (A)X100.005939808279859381848674707780775575730
4Alexander RadulovX100.007043697877858379538278668082795375720
5Evgenii DadonovX98.005636927769849576528079637680745275710
6Jason ZuckerXX100.007338838069829476527377687673725875710
7Jonathan DrouinX100.006238848373829482767875598267698675710
8Mikko Koivu (A)X100.005840787287836171867768846786914275700
9Ryan CallahanX100.008437846868727067566663786584773175670
10Joel ArmiaX100.008037846788817066536768776571688075670
11Pierre-Edouard BellemareX100.006435916274738961836058825984742575650
12Tom KuhnhacklXX100.008336916180705959536258815773675275640
13Torey KrugX100.006947807867868277308871635675705675710
14Matt NiskanenX100.008445786878889366307567845582744875700
15Erik GustafssonX100.007639847274899271308275626673705375700
16Shea TheodoreX98.005637887679869274307871665866647875690
17Will ButcherX100.005737886768859166307761675267655775650
18Alexander PetrovicX100.008943686290815261306954654873676575630
Scratches
1Oscar KlefbomX88.756437876887917466307763785471687975680
TEAM AVERAGE99.16694082737883837152776971667674577569
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1David Rittich100.00909393858988908988908975814175730
2Ryan Miller100.00837573748281838281838289932275700
Scratches
TEAM AVERAGE100.0087848380868587868587868287327572
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alain Vigneault67677074867899CAN5811,000,000$


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
# Player Name Team NamePOSGP 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
1Nicklas BackstromFlamesC49192544-3160451471584011712.03%1695419.4721113401690000124154.35%112600000.9223000432
2Blake WheelerFlamesC/LW/RW4814203444810117134175511358.00%17100020.83268451690000313149.32%111100100.6813101512
3Phil KesselFlamesRW5092029-7120406916248985.56%495719.1627937171000043150.00%9000000.6112000150
4Erik GustafssonFlamesD508202812695883762174312.90%38112422.49459341860000102130.00%000000.5011010221
5Alexander RadulovFlamesRW4991928-638010776183341074.92%1094119.22371047169000132143.27%10400000.5925000114
6Evgenii DadonovFlamesRW49121224-1260282127431069.45%584217.1900015580001330151.14%8800000.5714000111
7Jonathan DrouinFlamesLW4871724060457312840835.47%887618.2527934167000021050.56%17800000.5516000033
8Jason ZuckerFlamesLW/RW50111223480537412426898.87%685917.1934726166000062338.71%6200000.5411000004
9Shea TheodoreFlamesD4731821-68039505118505.88%60111223.66246291360001139200.00%000000.3800000021
10Matt NiskanenFlamesD4961319-19660135565893710.34%60102520.9344822590110113100.00%000000.3700000021
11Torey KrugFlamesD5041519-12321051616125286.56%44111222.2534731158011179100.00%000000.3400020021
12Mikko KoivuFlamesC42711181135301069828637.14%1670316.740000310141050254.28%86400000.5102010300
13Joel ArmiaFlamesRW50310131220081528126643.70%576915.39000180000191028.07%5700000.3400000021
14Oscar KlefbomFlamesD394812-210053475221277.69%4881520.9221326105000096000.00%000000.2900000201
15Will ButcherFlamesD50268-31402730173911.76%3072914.58101312000168000.00%000000.2200000001
16Alexander PetrovicFlamesD23145821535671214.29%72018.740000000001000.00%000000.5000100000
17Ryan CallahanFlamesRW50202-2401912147814.29%52595.1810142400011301050.00%6200000.1502000100
18Pierre-Edouard BellemareFlamesLW50022-460545326170.00%64208.410001200011220059.86%28900000.1000000000
19Tom KuhnhacklFlamesLW/RW50202-1401314143814.29%42224.4510142700001091048.94%4700000.1811000001
Team Total or Average893123232355-36401359851171160444610917.67%3891492716.723260923991798123111182231352.01%407800100.481130241202424
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ryan MillerFlames31171130.9032.44184641757740200.632193119122
2David RittichFlames2010720.9172.56119521516160100.692131931401
Team Total or Average51271850.9092.4930416212613900300.656325050523


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
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
Alexander PetrovicFlamesD271992-03-03No216 Lbs6 ft4NoNoNo1RFAPro & Farm1,200,000$1,200,000$470,968$NoLink / NHL Link
Alexander RadulovFlamesRW331986-07-05No205 Lbs6 ft1NoNoNo2UFAPro & Farm5,750,000$5,750,000$2,256,720$NoLink / NHL Link
Blake WheelerFlamesC/LW/RW331986-08-31No225 Lbs6 ft5NoNoNo4UFAPro & Farm5,600,000$5,600,000$2,197,849$NoLink / NHL Link
David RittichFlamesG271992-08-19No206 Lbs6 ft3NoNoNo4RFAPro & Farm800,000$800,000$313,978$NoLink / NHL Link
Erik GustafssonFlamesD271992-03-14No197 Lbs6 ft0NoNoNo5RFAPro & Farm1,200,000$1,200,000$470,968$NoLink / NHL Link
Evgenii DadonovFlamesRW301989-03-12No185 Lbs5 ft11NoNoNo5UFAPro & Farm4,000,000$4,000,000$1,569,892$NoLink / NHL Link
Jason ZuckerFlamesLW/RW271992-01-16No183 Lbs5 ft11NoNoNo2RFAPro & Farm2,000,000$2,000,000$784,946$NoLink / NHL Link
Joel ArmiaFlamesRW261993-05-31No210 Lbs6 ft4NoNoNo3RFAPro & Farm975,000$975,000$382,661$NoLink / NHL Link
Jonathan DrouinFlamesLW241995-03-28No193 Lbs6 ft0NoNoNo2RFAPro & Farm5,500,000$5,500,000$2,158,602$NoLink / NHL Link
Matt NiskanenFlamesD321986-12-06No203 Lbs6 ft1NoNoNo4UFAPro & Farm5,750,000$5,750,000$2,256,720$NoLink / NHL Link
Mikko KoivuFlamesC361983-03-12No219 Lbs6 ft3NoNoNo3UFAPro & Farm5,500,000$5,500,000$2,158,602$NoLink / NHL Link
Nicklas BackstromFlamesC311987-11-23No210 Lbs6 ft1NoNoNo4UFAPro & Farm6,700,000$6,700,000$2,629,570$NoLink / NHL Link
Oscar KlefbomFlamesD261993-07-20No216 Lbs6 ft3NoNoNo3RFAPro & Farm4,167,000$4,167,000$1,635,435$NoLink / NHL Link
Phil KesselFlamesRW311987-10-02No202 Lbs6 ft0NoNoNo5UFAPro & Farm8,000,000$8,000,000$3,139,785$NoLink / NHL Link
Pierre-Edouard BellemareFlamesLW341985-03-06No198 Lbs6 ft0NoNoNo1UFAPro & Farm725,000$725,000$284,543$NoLink / NHL Link
Ryan CallahanFlamesRW341985-03-21No187 Lbs5 ft10NoNoNo1UFAPro & Farm900,000$900,000$353,226$NoLink / NHL Link
Ryan MillerFlamesG391980-07-17No168 Lbs6 ft2YesNoNo1UFAPro & Farm2,111,111$2,111,111$828,554$NoLink / NHL Link
Shea TheodoreFlamesD241995-08-03No195 Lbs6 ft2NoNoNo1RFAPro & Farm863,000$863,000$338,704$NoLink / NHL Link
Tom KuhnhacklFlamesLW/RW271992-01-21No196 Lbs6 ft2NoNoNo5RFAPro & Farm700,000$700,000$274,731$NoLink / NHL Link
Torey KrugFlamesD281991-04-12No186 Lbs5 ft9NoNoNo5UFAPro & Farm5,250,000$5,250,000$2,060,484$NoLink / NHL Link
Will ButcherFlamesD241995-01-06No190 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$925,000$363,038$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2129.52200 Lbs6 ft12.953,267,434$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
68,616,111$61,892,000$48,642,000$38,000,000$19,150,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikko KoivuPhil Kessel34122
2Jonathan DrouinNicklas BackstromAlexander Radulov33122
3Jason ZuckerBlake WheelerJoel Armia33122
4Pierre-Edouard BellemareBlake WheelerJoel Armia0122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Torey KrugMatt Niskanen38122
2Erik GustafssonAlexander Petrovic38122
3Will Butcher24122
4Torey KrugMatt Niskanen0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Blake WheelerPhil Kessel50005
2Jason ZuckerNicklas BackstromAlexander Radulov50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Torey KrugJonathan Drouin50014
2Erik GustafssonMatt Niskanen50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mikko KoivuRyan Callahan50122
2Pierre-Edouard BellemareTom Kuhnhackl50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Torey KrugMatt Niskanen60122
2Erik Gustafsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mikko Koivu60122Torey KrugMatt Niskanen60122
2Pierre-Edouard Bellemare40122Erik Gustafsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Blake WheelerNicklas Backstrom60122
2Phil KesselAlexander Radulov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Torey KrugMatt Niskanen60122
2Erik GustafssonWill Butcher40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Blake WheelerPhil KesselTorey KrugMatt Niskanen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Blake WheelerPhil KesselTorey KrugMatt Niskanen
Extra Forwards
Normal PowerPlayPenalty Kill
Tom Kuhnhackl, Jonathan Drouin, Mikko KoivuTom Kuhnhackl, Jonathan DrouinMikko Koivu
Extra Defensemen
Normal PowerPlayPenalty Kill
, Will Butcher, Erik GustafssonWill Butcher, Erik Gustafsson
Penalty Shots
Jonathan Drouin, Nicklas Backstrom, Phil Kessel, Alexander Radulov,
Goalie
#1 : David Rittich, #2 : Ryan Miller
Custom OT Lines Forwards
Blake Wheeler, Nicklas Backstrom, Phil Kessel, Alexander Radulov, , Jason Zucker, Jason Zucker, Jonathan Drouin, Mikko Koivu, Ryan Callahan, Joel Armia
Custom OT Lines Defensemen
Torey Krug, Matt Niskanen, Erik Gustafsson, Will Butcher,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5059W413123536616011390400427103102
All Games
GPWLOTWOTL SOWSOLGFGA
5019184243131129
Home Games
GPWLOTWOTL SOWSOLGFGA
2371022205659
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2712820237570
Last 10 Games
WLOTWOTL SOWSOL
630001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2113717.54%1723380.81%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5095125526253393117
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
969182253.18%863162753.04%37371052.54%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12478781174364624313


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2019-10-0311Flames5Avalanche4WXXBoxScore
4 - 2019-10-0529Canucks3Flames2LBoxScore
7 - 2019-10-0842Kings4Flames3LXBoxScore
9 - 2019-10-1055Flames2Stars0WBoxScore
11 - 2019-10-1274Flames3Golden Knights2WBoxScore
12 - 2019-10-1377Flames1Sharks2LBoxScore
14 - 2019-10-1588Flyers1Flames2WBoxScore
16 - 2019-10-17103Red Wings1Flames2WXXBoxScore
18 - 2019-10-19122Flames2Kings1WXBoxScore
19 - 2019-10-20128Flames2Ducks4LBoxScore
21 - 2019-10-22142Capitals1Flames2WBoxScore
23 - 2019-10-24153Panthers0Flames2WBoxScore
25 - 2019-10-26169Flames2Jets1WBoxScore
28 - 2019-10-29183Flames2Hurricanes1WBoxScore
30 - 2019-10-31194Flames1Predators3LBoxScore
32 - 2019-11-02212Flames4Blue Jackets5LXXBoxScore
33 - 2019-11-03218Flames4Capitals3WXBoxScore
35 - 2019-11-05231Coyotes1Flames3WBoxScore
37 - 2019-11-07245Devils2Flames1LBoxScore
39 - 2019-11-09261Blues3Flames2LBoxScore
43 - 2019-11-13284Stars1Flames3WBoxScore
46 - 2019-11-16301Flames1Coyotes4LBoxScore
47 - 2019-11-17315Flames4Golden Knights3WBoxScore
49 - 2019-11-19328Avalanche3Flames4WXXBoxScore
51 - 2019-11-21338Flames1Blues2LXXBoxScore
53 - 2019-11-23349Flames1Flyers4LBoxScore
55 - 2019-11-25368Flames0Penguins1LBoxScore
57 - 2019-11-27377Flames2Sabres4LBoxScore
60 - 2019-11-30405Senators4Flames2LBoxScore
65 - 2019-12-05446Sabres2Flames1LBoxScore
67 - 2019-12-07462Kings3Flames2LBoxScore
69 - 2019-12-09471Flames4Avalanche2WBoxScore
70 - 2019-12-10480Flames0Coyotes5LBoxScore
72 - 2019-12-12494Maple Leafs3Flames0LBoxScore
74 - 2019-12-14504Hurricanes3Flames4WXBoxScore
77 - 2019-12-17531Penguins3Flames4WXBoxScore
79 - 2019-12-19545Canadiens4Flames3LXBoxScore
82 - 2019-12-22566Flames4Stars2WBoxScore
83 - 2019-12-23570Flames3Wild1WBoxScore
87 - 2019-12-27590Flames4Oilers1WBoxScore
89 - 2019-12-29611Canucks4Flames2LBoxScore
91 - 2019-12-31623Blackhawks5Flames2LBoxScore
93 - 2020-01-02635Rangers4Flames6WBoxScore
96 - 2020-01-05656Flames3Wild4LXXBoxScore
98 - 2020-01-07672Flames5Blackhawks2WBoxScore
100 - 2020-01-09685Wild3Flames1LBoxScore
102 - 2020-01-11701Oilers1Flames3WBoxScore
104 - 2020-01-13709Flames6Canadiens3WBoxScore
107 - 2020-01-16728Flames4Maple Leafs3WXXBoxScore
109 - 2020-01-18746Flames5Senators3WBoxScore
119 - 2020-01-28775Blues-Flames-
120 - 2020-01-29780Flames-Oilers-
123 - 2020-02-01803Oilers-Flames-
126 - 2020-02-04823Sharks-Flames-
128 - 2020-02-06836Predators-Flames-
130 - 2020-02-08853Flames-Canucks-
132 - 2020-02-10865Flames-Sharks-
134 - 2020-02-12878Flames-Kings-
135 - 2020-02-13890Flames-Ducks-
137 - 2020-02-15903Blackhawks-Flames-
139 - 2020-02-17916Ducks-Flames-
143 - 2020-02-21945Bruins-Flames-
145 - 2020-02-23963Flames-Red Wings-
147 - 2020-02-25968Flames-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2020-02-27991Flames-Predators-
151 - 2020-02-291001Flames-Lightning-
152 - 2020-03-011012Flames-Panthers-
155 - 2020-03-041030Blue Jackets-Flames-
157 - 2020-03-061046Coyotes-Flames-
159 - 2020-03-081061Golden Knights-Flames-
163 - 2020-03-121091Islanders-Flames-
165 - 2020-03-141108Jets-Flames-
167 - 2020-03-161119Flames-Rangers-
168 - 2020-03-171124Flames-Islanders-
170 - 2020-03-191139Flames-Devils-
172 - 2020-03-211162Lightning-Flames-
174 - 2020-03-231173Sharks-Flames-
176 - 2020-03-251187Ducks-Flames-
178 - 2020-03-271204Flames-Canucks-
182 - 2020-03-311236Jets-Flames-
184 - 2020-04-021252Golden Knights-Flames-
186 - 2020-04-041269Oilers-Flames-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity74503600450018001150
Ticket Price19015010090290
Attendance73,53741,65941,40025,58414,469
Attendance PCT42.92%50.31%40.00%61.80%54.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
18 8550 - 46.22% 1,697,119$39,033,743$18500100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
44,769,880$ 68,616,111$ 68,616,111$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
68,616,111$ 44,162,313$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
30,548,147$ 73 374,280$ 27,322,440$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
28,147,705$ 68,616,111$ 30,843,439$ 34,786,441$



Depth Chart

Left WingCenterRight Wing
Blake WheelerAGE:33PO:52OV:76
Jonathan DrouinAGE:24PO:86OV:71
Jason ZuckerAGE:27PO:58OV:71
Pierre-Edouard BellemareAGE:34PO:25OV:65
Tom KuhnhacklAGE:27PO:52OV:64
Eric TangradiAGE:30PO:59OV:61
Nathan GerbeAGE:32PO:53OV:61
Jake LucchiniAGE:24PO:58OV:58
Troy BourkeAGE:25PO:63OV:56
Spencer NaasAGE:24PO:54OV:55
Blake WheelerAGE:33PO:52OV:76
Nicklas BackstromAGE:31PO:55OV:73
Mikko KoivuAGE:36PO:42OV:70
David UllstromAGE:30PO:55OV:63
Jayson MegnaAGE:29PO:56OV:62
Eric TangradiAGE:30PO:59OV:61
Nathan GerbeAGE:32PO:53OV:61
Ryan FitzgeraldAGE:24PO:61OV:60
James PhelanAGE:22PO:47OV:57
Blake WheelerAGE:33PO:52OV:76
Phil KesselAGE:31PO:54OV:73
Alexander RadulovAGE:33PO:53OV:72
Jason ZuckerAGE:27PO:58OV:71
Evgenii DadonovAGE:30PO:52OV:71
Joel ArmiaAGE:26PO:80OV:67
Ryan CallahanAGE:34PO:31OV:67
Tom KuhnhacklAGE:27PO:52OV:64
Paul ThompsonAGE:30PO:54OV:63
Colin McDonaldAGE:34PO:50OV:62
Alexandre GrenierAGE:28PO:53OV:61
Nathan GerbeAGE:32PO:53OV:61
Steven WhitneyAGE:28PO:57OV:58
Boston LeierAGE:26PO:45OV:57

Defense #1Defense #2Goalie
Torey KrugAGE:28PO:56OV:71
Erik GustafssonAGE:27PO:53OV:70
Matt NiskanenAGE:32PO:48OV:70
Shea TheodoreAGE:24PO:78OV:69
Oscar KlefbomAGE:26PO:79OV:68
Will ButcherAGE:24PO:57OV:65
Alexander PetrovicAGE:27PO:65OV:63
Brian LashoffAGE:29PO:46OV:61
Andrej SustrAGE:28PO:46OV:61
Michal CajkovskyAGE:27PO:58OV:60
Brennan MenellAGE:22PO:63OV:59
Ryan StantonAGE:30PO:55OV:59
Craig WyszomirskiAGE:26PO:51OV:58
Keaton ThompsonAGE:24PO:56OV:57
David RittichAGE:27PO:41OV:73
Ryan MillerAGE:39PO:22OV:70
Parker MilnerAGE:29PO:44OV:66
Peter BudajAGE:36PO:34OV:66
Pat NagleAGE:31PO:34OV:57

Prospects

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
Prospect Team NameDraft Year Overall Pick Information Lien
Aaron MarvinFlames
Alexander AlexeyevFlames201837
Alexander DeilertFlames
Anders LindbackFlames
Branden TroockFlames
Brayden IrwinFlames
C.J. SeverynFlames
Cam CunningFlames
Cameron RoweFlames2019243
Carsen GermynFlames
Daniel CatenacciFlames
Denis HollensteinFlames
Eric FlorchukFlames2018179
Gaelan PattersonFlames
Giovanni VallatiFlames2018161
Gord BaldwinFlames
Henrik BjorklundFlames
Hugo CarpentierFlames
Iiro TarkiiFlames
Jack GorniakFlames2018192
John ArmstronFlames
Joni OrtioFlames
Jordan FultonFlames
Keith SeabrookFlames
Leland IrvingFlames
Matt GreeneFlames
Matt KeetleyFlames
Myles BellFlames
Nick EbertFlames
Nick LarsonFlames
Paul BissonnetteFlames
Per JonssonFlames
Philippe HudonFlames
Riley ArmstrongFlames
Riley DamianiFlames2018165
Ryan RupertFlames
Sebastian ErixonFlames
Shaone MorrisonnFlames
Spencer BennettFlames
Staffan KronwallFlames
Ville PokkaFlames
Vladislav KotkovFlames201855
Willie YanakeffFlames

Draft Picks

Year R1R2R3R4R5R6R7
2020CGY PIT CGY VGK FLA NJD VGK PIT FLA LAK NJD CGY VGK LAK CGY NJD LAK
2021CGY BUF CGY CGY BUF CGY CGY CGY CGY
2022CGY CGY CGY CGY CGY CGY CGY
2023CGY CGY CGY CGY CGY CGY CGY
2024CGY CGY CGY CGY CGY CGY CGY



[2020-01-22 08:03:09] - TRADE : From Panthers to Flames : Evgenii Dadonov (71), Shea Theodore (69).
[2020-01-22 08:03:09] - TRADE : From Flames to Panthers : Matt Duchene (72), Jonas Brodin (67).
[2019-09-10 19:40:41] - Blake Wheeler has been selected as captain for Flames.
[2019-09-10 19:40:41] - Unknown Player is no longer captain for Flames.
[2019-09-04 15:01:24] - Boston Leier was added to Flames.
[2019-09-04 15:00:49] - Colin McDonald was added to Flames.
[2019-09-04 15:00:33] - James Phelan was added to Flames.
[2019-09-04 15:00:29] - Jake Lucchini was added to Flames.
[2019-09-04 15:00:04] - Craig Wyszomirski was added to Flames.
[2019-09-04 14:58:50] - Brian Lashoff was added to Flames.
[2019-09-04 14:58:46] - Brennan Menell was added to Flames.
[2019-09-04 14:58:27] - Steven Whitney was added to Flames.
[2019-09-04 14:58:22] - Spencer Naas was added to Flames.
[2019-09-04 14:58:16] - Pat Nagle was added to Flames.
[2019-09-04 14:58:13] - Parker Milner was added to Flames.
[2019-09-04 14:58:01] - Michal Cajkovsky was added to Flames.
[2019-09-04 13:18:54] - Heat hired Martin Gelinas for 550,000$ for 1 year(s).
[2019-09-04 13:17:59] - Flames hired Alain Vigneault for 1,000,000$ for 1 year(s).
[2019-09-04 12:50:08] - Flames fired Alain Vigneault.
[2019-09-04 12:43:09] - Team Name Change : Stockton Heat changed name to Heat
[2019-07-14 19:24:50] - Alexandre Grenier was added to Flames.
[2019-07-14 19:09:55] - Nathan Gerbe was added to Flames.
[2019-07-14 19:07:11] - Paul Thompson was added to Flames.
[2019-07-14 19:02:44] - Jayson Megna was added to Flames.
[2019-07-11 22:17:36] - Eric Tangradi was added to Flames.
[2019-07-11 22:13:16] - Ryan Stanton was added to Flames.
[2019-07-11 22:11:42] - Peter Budaj was added to Flames.



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
Regular Season
2017823328067802482232541171405230131115164116140155011710896624839964742628884182209625733817602210732912148735810529.33%3969077.27%51013173958.25%1056185057.08%614109456.12%170588416838041595816
201882432306343248192564124120311012491334119110323312410123862484476951884837111233175975879345208764153715933085919.16%2273385.46%31537276755.55%1357251653.93%666122654.32%2047145318995821020521
201950191804243131129223710022205659-3271280202375705591312353660253393117160150951255262139040042710312113717.54%1723380.81%1969182253.18%863162753.04%37371052.54%12478781174364624313
Total Regular Season2149569016121666275448310548360105603112654610947330671063162793721162710811708512199210186466141189320032162167568717731876411187720122.92%79515680.38%93519632855.61%3276599354.66%1653303054.55%499932164757175132411651
Playoff
20171165000002327-4642000001314-1523000001013-31223376010261322967090125113131169220546919.57%461273.91%014825158.96%15327156.46%7613655.88%240126249109211110
20181055000002428-4541000001511451400000917-8102445691079803421121021271278848121639512.82%32778.13%019941747.72%17833752.82%9416556.97%2401652487412864
Total Playoff211110000004755-8118300000282531037000001930-112247821292091521263818219225212591200173421851416.47%781975.64%034766851.95%33160854.44%17030156.48%480292497183340175