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Flames
GP: 82 | W: 39 | L: 33 | OTL: 10 | P: 88
GF: 251 | GA: 280 | PP%: 14.03% | PK%: 80.43%
GM : Benoit Talbot | Morale : 35 | Team Overall : 70
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Game Center
Flames
39-33-10, 88pts
5
FINAL
2 Oilers
37-32-13, 87pts
Team Stats
L1StreakL2
23-13-5Home Record21-12-8
16-20-5Away Record16-20-5
4-4-2Last 10 Games4-4-2
3.06Goals Per Game3.16
3.41Goals Against Per Game3.20
14.03%Power Play Percentage18.43%
80.43%Penalty Kill Percentage83.45%
Flames
39-33-10, 88pts
1
FINAL
4 Avalanche
43-33-6, 92pts
Team Stats
L1StreakW2
23-13-5Home Record23-16-2
16-20-5Away Record20-17-4
4-4-2Last 10 Games6-4-0
3.06Goals Per Game3.10
3.41Goals Against Per Game3.22
14.03%Power Play Percentage17.89%
80.43%Penalty Kill Percentage84.86%
Team Leaders
Goals
Danton Heinen
37
Assists
Jake DeBrusk
47
Points
Jake DeBrusk
82
Plus/Minus
Mathieu Joseph
17
Wins
Alexandar Georgiev
24
Save Percentage
Pavel Francouz
0.902

Team Stats
Goals For
251
3.06 GFG
Shots For
2574
31.39 Avg
Power Play Percentage
14.0%
39 GF
Offensive Zone Start
38.3%
Goals Against
280
3.41 GAA
Shots Against
2563
31.26 Avg
Penalty Kill Percentage
80.4%
54 GA
Defensive Zone Start
38.6%
Team Info

General ManagerBenoit Talbot
CoachPaul MacLean
DivisionPacifique
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,347
Season Tickets2,100


Roster Info

Pro Team34
Farm Team18
Contract Limit52 / 60
Prospects44


Team History

This Season39-33-10 (88PTS)
History157-133-44 (0.470%)
Playoff Appearances1
Playoff Record (W-L)6-7
Stanley Cup0


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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 SPAgeContractSalary
1Jake DeBrusk (R)X98.0068397477738287876599898967616280697902513,000,000$
2Kevin Fiala (R)X98.0056378578737988935393897074707182637702533,000,000$
3Danton Heinen (R)X99.0060398877748095936590797553766054607602621,250,000$
4Roope Hintz (R)X100.007935948287898278737679718271777156740251811,667$
5Adrian Kempe (R)X100.007747757276838980777874807270697637730252800,000$
6Josh Norris (R)X100.007935927879878274877173687664688258700222925,000$
7Rocco Grimaldi (R)X100.005635947462858773587666657476716449680292800,000$
8Mathieu Joseph (R)X100.007935917473827971566771647267685549670251925,000$
9Arttu Ruotsalainen (R)X100.006442837567858269736871647268695258670243925,000$
10Alan Quine (R)X100.005436976675737670667165696677715131660291575,000$
11Akex Newhook (R)X100.006035927569857868776667617362668557660213908,333$
12Henrik Borgstrom (R)X100.006039906478777770746459706666638121640241925,000$
13Ladislav SmidX100.009986386277828386506455715099992775730362900,000$
14Jeremy Lauzon (R)X100.008656716979828066306558795168656835700251747,500$
15Haydn Fleury (R)X100.0078359274858184693070637154736783567002531,000,000$
16Darren Dietz (R)X100.009848806375618774256654795063594260690281600,000$
17Noah Dobson (R)X100.006635947685828172307362585361658419670222894,167$
Scratches
1Oscar Lindberg (R)X90.8385426469769186938287867758816252537703013,000,000$
2Kevin Stenlund (R)X100.005935936489818565766667616569646720650251864,166$
3Austin Wagner (R)X100.008742846974838766596463656667656220650241925,000$
4Mitchell Stephens (R)X100.007235936570868063776462606367647420630252833,333$
5Givani Smith (R)X100.008479746282707463596263606465647320620242714,166$
6Aleksi Heponiemi (R)X100.005035936861747266736359586863667520610233925,000$
7Ivan Chekhovich (R)X100.005035956367807464566259606463624920610233925,000$
8Thomas Chabot (R)X71.5068367979759583973098879269606280397802522,000,000$
9Joel Edmundson (R)X83.7892625666848584723076759352787261557602812,000,000$
10Evan Bouchard (R)X100.005835957182848072306962645263628620660221925,000$
11Brett CarsonX100.006027996280626651244947805099995420650361575,000$
12Joel Hanley (R)X100.007235946670857664306957645378703520650303600,000$
13Dean Kukan (R)X100.004934966374807265306752714974683620640281725,000$
14Kevin Bahl (R)X100.008178936298807361306557545261637120630213795,000$
TEAM AVERAGE98.03714385707681817354726770627068653969
Filter Tips
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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
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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 SPAgeContractSalary
1Alexandar Georgiev (R)100.009195937487979999989187717561568802633,000,000$
2Pavel Francouz (R)100.00877876728391939391878382885560830312925,000$
Scratches
1Magnus Hellberg (R)100.007986827880928392847374908948208203131,500,000$
TEAM AVERAGE100.0086868475839392959184818184554584
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul MacLean89707691998678FRA6311,000,000$


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
1Jake DeBruskFlames (CGY)RW77354782-235515515227310318012.82%49166321.60419235224305552275242.07%5238124110.9917010636
2Oscar LindbergFlames (CGY)C78344680062101621712866117411.89%45153819.731013234523912371086252.90%17733813131.0406101665
3Danton HeinenFlames (CGY)C82373774-1380971652729517013.60%41156519.0974112320021391335246.36%16225231020.9503000545
4Kevin FialaFlames (CGY)RW82293564-203915100132292811809.93%34169120.63381122200303102435044.44%1177026010.7607003244
5Thomas ChabotFlames (CGY)D7264652220011914417574703.43%106170623.704610282280227222110.00%04351000.6100000533
6Josh NorrisFlames (CGY)C822025451060921481775511011.30%24106212.96011232000021053.77%7163010000.8500000224
7Roope HintzFlames (CGY)LW8215223701715108105135457611.11%36152618.625510162580000231147.31%932820000.4812012013
8Rocco GrimaldiFlames (CGY)RW821221335004884148501018.11%24103312.600112270000245029.27%412717000.6400000311
9Mathieu JosephFlames (CGY)LW79151227171559264110346813.64%29107413.600000171017880342.47%732022000.5000001131
10Adrian KempeFlames (CGY)LW76121527-18752514090112305910.71%25128516.913149185000003155.56%721118010.4200220320
11Joel EdmundsonFlames (CGY)D81317201102102471477731383.90%91191923.70213102830004223000.00%01362000.2100200111
12Arttu RuotsalainenFlames (CGY)RW8211920-51203943101437310.89%176107.45000031121193044.44%9295000.6600000003
13Ladislav SmidFlames (CGY)D8241519-15216702391328437364.76%78171520.9212341900112137000.00%01454100.22001013001
14Haydn FleuryFlames (CGY)D8221618-810096876825372.94%85158219.2901131090112127000.00%01956000.2300000020
15Darren DietzFlames (CGY)D82113144375141955418181.85%84131716.07000013011287000.00%0233000.2100100010
16Akex NewhookFlames (CGY)C8231114-32026467024544.29%55817.0900000000000147.56%225168000.4800000101
17Jeremy LauzonFlames (CGY)D8011112168101551235816381.72%67146918.360001116000085000.00%01337000.1600002000
18Alan QuineFlames (CGY)LW515611-500154146132910.87%84128.0900000000002142.86%747000.5300000100
19Austin WagnerFlames (CGY)LW40437-38027182151319.05%82907.26000000001290012.50%8210000.4800000000
20Noah DobsonFlames (CGY)D13033-9008109420.00%920515.8000001000019000.00%001000.2900000000
21Kevin StenlundFlames (CGY)RW5000000244020.00%0367.330000000000000.00%101000.0000000000
22Henrik BorgstromFlames (CGY)C4000-200132000.00%0235.9900000000000044.44%900000.0000000000
Team Total or Average1476249410659-6373217021092004257484415289.67%8652431216.473962101217235581422571804371449.03%5289512506380.5422516512363338
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
1Alexandar GeorgievFlames (CGY)52242040.8863.3728351411591400524220.833124933300
2Pavel FrancouzFlames (CGY)40151360.9023.192142001141161496100.750123349132
Team Total or Average923933100.8933.29497814127325611020320.792248282432


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adrian KempeFlames (CGY)LW251996-09-13 05:44:01Yes201 Lbs6 ft2NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Akex NewhookFlames (CGY)C212001-01-28 02:58:23Yes190 Lbs5 ft10NoNoNo3Pro & Farm908,333$4,756$0$0$No908,333$908,333$
Alan QuineFlames (CGY)LW291993-02-25 18:35:24Yes203 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Aleksi HeponiemiFlames (CGY)C231999-01-09 02:55:54Yes148 Lbs5 ft10NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Alexandar GeorgievFlames (CGY)G261996-02-10 10:25:08Yes179 Lbs6 ft1NoNoNo3Pro & Farm3,000,000$15,707$0$0$No3,000,000$3,000,000$
Arttu RuotsalainenFlames (CGY)RW241997-10-29 04:15:46Yes181 Lbs5 ft8NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Austin WagnerFlames (CGY)LW241997-06-23 07:30:44Yes185 Lbs6 ft1NoNoNo1Pro & Farm925,000$4,843$0$0$No
Brett CarsonFlames (CGY)D361985-11-29 11:11:13No220 Lbs6 ft4NoNoNo1Pro & Farm575,000$3,010$0$0$No
Danton HeinenFlames (CGY)C261995-07-05 09:18:29Yes188 Lbs6 ft1NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Darren DietzFlames (CGY)D281993-07-16 06:42:37Yes206 Lbs6 ft1NoNoNo1Pro & Farm600,000$3,141$0$0$No
Dean KukanFlames (CGY)D281993-07-08 06:33:23Yes192 Lbs6 ft2NoNoNo1Pro & Farm725,000$3,796$0$0$No
Evan BouchardFlames (CGY)D221999-10-20 02:25:19Yes194 Lbs6 ft3NoNoNo1Pro & Farm925,000$4,843$0$0$No
Givani SmithFlames (CGY)RW241998-02-27 01:21:12Yes205 Lbs6 ft2NoNoNo2Pro & Farm714,166$3,739$0$0$No714,166$
Haydn FleuryFlames (CGY)D251996-07-08 04:00:49Yes207 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Henrik BorgstromFlames (CGY)C241997-08-06 02:20:11Yes198 Lbs6 ft3NoNoNo1Pro & Farm925,000$4,843$0$0$No
Ivan ChekhovichFlames (CGY)LW231999-01-04 03:15:11Yes187 Lbs5 ft11NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Jake DeBruskFlames (CGY)RW251996-10-17 13:20:08Yes188 Lbs6 ft0NoNoNo1Pro & Farm3,000,000$15,707$0$0$No
Jeremy LauzonFlames (CGY)D251997-04-28 02:22:22Yes205 Lbs6 ft2NoNoNo1Pro & Farm747,500$3,914$0$0$No
Joel Edmundson (Out of Payroll)Flames (CGY)D281993-06-28 04:30:16Yes215 Lbs6 ft4NoNoNo1Pro & Farm2,000,000$10,471$0$0$No
Joel HanleyFlames (CGY)D301991-06-08 06:37:23Yes190 Lbs5 ft11NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Josh NorrisFlames (CGY)C221999-05-05 02:56:41Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Kevin BahlFlames (CGY)D212000-06-27 03:01:06Yes229 Lbs6 ft6NoNoNo3Pro & Farm795,000$4,162$0$0$No795,000$795,000$
Kevin FialaFlames (CGY)RW251996-07-22 05:11:13Yes193 Lbs5 ft10NoNoNo3Pro & Farm3,000,000$15,707$0$0$No3,000,000$3,000,000$
Kevin StenlundFlames (CGY)RW251996-09-20 02:17:36Yes209 Lbs6 ft4NoNoNo1Pro & Farm864,166$4,524$0$0$No
Ladislav SmidFlames (CGY)D361986-02-01 17:11:13No212 Lbs6 ft3NoNoNo2Pro & Farm900,000$4,712$0$0$No900,000$
Magnus HellbergFlames (CGY)G311991-04-04 23:11:14Yes192 Lbs6 ft5NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Mathieu JosephFlames (CGY)LW251997-02-09 07:26:52Yes190 Lbs6 ft1NoNoNo1Pro & Farm925,000$4,843$0$0$No
Mitchell StephensFlames (CGY)C251997-02-05 03:05:21Yes194 Lbs6 ft0NoNoNo2Pro & Farm833,333$4,363$0$0$No833,333$
Noah DobsonFlames (CGY)D222000-01-07 03:09:05Yes183 Lbs6 ft4NoNoNo2Pro & Farm894,167$4,682$0$0$No894,167$
Oscar Lindberg (Out of Payroll)Flames (CGY)C301991-10-29 23:11:13Yes202 Lbs6 ft1NoNoNo1Pro & Farm3,000,000$15,707$0$0$No
Pavel FrancouzFlames (CGY)G311990-06-03 11:37:49Yes175 Lbs6 ft0NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Rocco GrimaldiFlames (CGY)RW291993-02-08 11:11:13Yes180 Lbs5 ft6NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Roope HintzFlames (CGY)LW251996-11-17 02:27:43Yes220 Lbs6 ft3NoNoNo1Pro & Farm811,667$4,250$0$0$No
Thomas Chabot (Out of Payroll)Flames (CGY)D251997-01-30 05:55:22Yes196 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$10,471$0$0$No2,000,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3426.12196 Lbs6 ft11.881,182,892$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Roope HintzDanton HeinenJake DeBrusk35122
2Adrian KempeJosh NorrisKevin Fiala35122
3Mathieu JosephAkex NewhookRocco Grimaldi25122
4Alan QuineHenrik BorgstromArttu Ruotsalainen5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ladislav Smid35122
2Haydn FleuryJeremy Lauzon35122
3Darren DietzNoah Dobson30122
4Ladislav Smid0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Roope HintzDanton HeinenJake DeBrusk60122
2Adrian KempeJosh NorrisKevin Fiala40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ladislav Smid60122
2Haydn FleuryJeremy Lauzon40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jake DeBruskKevin Fiala60122
2Danton HeinenRoope Hintz40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ladislav Smid60122
2Haydn FleuryJeremy Lauzon40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake DeBrusk60122Ladislav Smid60122
2Kevin Fiala40122Haydn FleuryJeremy Lauzon40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jake DeBruskKevin Fiala60122
2Danton HeinenRoope Hintz40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ladislav Smid60122
2Haydn FleuryJeremy Lauzon40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Roope HintzDanton HeinenJake DeBruskLadislav Smid
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Roope HintzDanton HeinenJake DeBruskLadislav Smid
Extra Forwards
Normal PowerPlayPenalty Kill
Rocco Grimaldi, Mathieu Joseph, Arttu RuotsalainenRocco Grimaldi, Mathieu JosephArttu Ruotsalainen
Extra Defensemen
Normal PowerPlayPenalty Kill
Darren Dietz, Noah Dobson, Haydn FleuryDarren DietzNoah Dobson, Haydn Fleury
Penalty Shots
Jake DeBrusk, Kevin Fiala, Danton Heinen, Roope Hintz, Adrian Kempe
Goalie
#1 : Alexandar Georgiev, #2 : Pavel Francouz
Custom OT Lines Forwards
Jake DeBrusk, Kevin Fiala, Danton Heinen, Roope Hintz, Adrian Kempe, Josh Norris, Josh Norris, Rocco Grimaldi, Mathieu Joseph, Arttu Ruotsalainen, Akex Newhook
Custom OT Lines Defensemen
, Ladislav Smid, Haydn Fleury, Jeremy Lauzon, Darren Dietz


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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
1Avalanche402001011117-620100001911-22010010026-420.2501114250079937181358838198346212843269710220.00%13192.31%0999200349.88%978202148.39%616120850.99%1845110117317381403703
2Blackhawks41102000963210010004132010100055060.7509132201799371811488381983462120393910918211.11%17288.24%0999200349.88%978202148.39%616120850.99%1845110117317381403703
3Blues42200000911-2211000005502110000046-240.5009162500799371811788381983462122433911610110.00%12375.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
4Bruins20001010862100000104311000100043141.00081119007993718658838198346263291745300.00%6183.33%0999200349.88%978202148.39%616120850.99%1845110117317381403703
5Canadiens32000100761210001003301100000043150.833711180079937189588381983462104406715120.00%30100.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
6Canucks633000001718-133000000105530300000713-660.50017304700799371818288381983462170509017833515.15%25484.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
7Capitals210000015411000000123-11100000031230.750571200799371875883819834625626657400.00%30100.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
8Devils220000001064110000003121100000075241.00010182800799371869883819834627819246300.00%110.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
9Ducks6220100117170311010009903110000188070.58317304700799371818688381983462179577616429517.24%23386.96%0999200349.88%978202148.39%616120850.99%1845110117317381403703
10Flyers21100000811-3110000007521010000016-520.50081321007993718788838198346262161347500.00%4250.00%1999200349.88%978202148.39%616120850.99%1845110117317381403703
11Islanders2020000058-31010000034-11010000024-200.0005914107993718558838198346261311051400.00%5260.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
12Kings633000001827-932100000912-331200000915-660.50018294700799371817488381983462202529614221419.05%38684.21%0999200349.88%978202148.39%616120850.99%1845110117317381403703
13Maple Leafs210000011394110000008351000000156-130.750132033007993718728838198346279271251300.00%6350.00%1999200349.88%978202148.39%616120850.99%1845110117317381403703
14Oilers622001011618-230200100612-632000001106460.50016274300799371817188381983462176725915836616.67%22577.27%1999200349.88%978202148.39%616120850.99%1845110117317381403703
15Penguins2110000078-11010000015-41100000063320.5007111800799371877883819834625923852200.00%40100.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
16Predators42100010181532110000077021000010118360.750182846007993718126883819834621354534881218.33%12375.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
17Rangers2010100078-1100010003211010000046-220.50071320007993718548838198346269221049400.00%5180.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
18Red Wings3120000089-1211000007611010000013-220.333811191079937188788381983462923117639333.33%6350.00%0999200349.88%978202148.39%616120850.99%1845110117317381403703
19Sabres30200100512-71010000014-32010010048-410.16758130079937189288381983462922616828112.50%8187.50%0999200349.88%978202148.39%616120850.99%1845110117317381403703
20Senateurs220000001055110000004221100000063341.000101626007993718668838198346274226434125.00%3233.33%0999200349.88%978202148.39%616120850.99%1845110117317381403703
21Sharks715001001736-19311001001012-240400000724-1730.21417304700799371822288381983462226709219039615.38%31970.97%0999200349.88%978202148.39%616120850.99%1845110117317381403703
22Stars40301000815-7201010006602020000029-720.250812200079937181378838198346211035251191000.00%110100.00%2999200349.88%978202148.39%616120850.99%1845110117317381403703
23Wild44000000188102200000010552200000083581.000183351007993718125883819834621064747916116.67%18288.89%3999200349.88%978202148.39%616120850.99%1845110117317381403703
Total82313306525251280-2941181304312131126541132002213120154-34880.537251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
_Since Last GM Reset82313306525251280-2941181304312131126541132002213120154-34880.537251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
_Vs Conference55202404313158188-30271290320185850288150111273103-30560.509158262420017993718168988381983462167455362314522243314.73%2223882.88%6999200349.88%978202148.39%616120850.99%1845110117317381403703
_Vs Division3111150120285116-311575012004450-616410000024166-25280.45285146231007993718935883819834629533014138321582616.46%1392780.58%1999200349.88%978202148.39%616120850.99%1845110117317381403703

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8288L125141066125742563865746210921
All Games
GPWLOTWOTL SOWSOLGFGA
8231336525251280
Home Games
GPWLOTWOTL SOWSOLGFGA
4118134312131126
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4113202213120154
Last 10 Games
WLOTWOTL SOWSOL
440200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2783914.03%2765480.43%8
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
883819834627993718
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
999200349.88%978202148.39%616120850.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1845110117317381403703


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
1 - 2021-10-152Flames2Kings4ALR5BoxScore
3 - 2021-10-1715Kings2Flames4BWBoxScore
8 - 2021-10-2231Flames2Oilers3ALXXBoxScore
9 - 2021-10-2342Oilers3Flames2BLXBoxScore
11 - 2021-10-2551Flames1Sharks6ALR5BoxScore
14 - 2021-10-2863Ducks3Flames4BWXBoxScore
16 - 2021-10-3077Flames5Ducks2AWBoxScore
19 - 2021-11-0290Canucks2Flames4BWBoxScore
22 - 2021-11-05104Sharks4Flames5BWR5BoxScore
24 - 2021-11-07117Flames5Canucks6ALBoxScore
27 - 2021-11-10127Flames1Sharks6ALR5BoxScore
29 - 2021-11-12138Sharks3Flames2BLXBoxScore
31 - 2021-11-14150Avalanche4Flames3BLBoxScore
34 - 2021-11-17169Wild2Flames6BWBoxScore
37 - 2021-11-20180Flames3Sharks7ALR5BoxScore
39 - 2021-11-22190Flames7Predators5AWBoxScore
42 - 2021-11-25204Predators3Flames4BWBoxScore
44 - 2021-11-27212Flames6Penguins3AWBoxScore
46 - 2021-11-29224Predators4Flames3BLBoxScore
49 - 2021-12-02238Flames4Kings3AWR5BoxScore
51 - 2021-12-04252Red Wings4Flames2BLBoxScore
53 - 2021-12-06262Flames3Kings8ALR5BoxScore
55 - 2021-12-08274Kings2Flames3BWBoxScore
57 - 2021-12-10285Flames4Rangers6ALBoxScore
58 - 2021-12-11296Flames2Islanders4ALBoxScore
60 - 2021-12-13305Sharks5Flames3BLR5BoxScore
64 - 2021-12-17324Avalanche7Flames6BLXXBoxScore
66 - 2021-12-19337Flames3Blues2AWBoxScore
69 - 2021-12-22346Devils1Flames3BWBoxScore
71 - 2021-12-24355Flames2Ducks4ALBoxScore
73 - 2021-12-26366Flames5Wild2AWBoxScore
75 - 2021-12-28376Wild3Flames4BWBoxScore
76 - 2021-12-29387Flames3Wild1AWBoxScore
79 - 2022-01-01397Maple Leafs3Flames8BWBoxScore
81 - 2022-01-03407Flames4Predators3AWXXBoxScore
84 - 2022-01-06424Kings8Flames2BLR5BoxScore
86 - 2022-01-08434Flames5Maple Leafs6ALXXBoxScore
88 - 2022-01-10444Flyers5Flames7BWBoxScore
90 - 2022-01-12456Flames1Flyers6ALBoxScore
92 - 2022-01-14470Bruins3Flames4BWXXBoxScore
96 - 2022-01-18492Canadiens1Flames2BWBoxScore
98 - 2022-01-20504Flames2Blackhawks3ALBoxScore
100 - 2022-01-22512Flames1Ducks2ALXXBoxScore
101 - 2022-01-23521Red Wings2Flames5BWBoxScore
104 - 2022-01-26536Flames2Sabres5ALBoxScore
106 - 2022-01-28543Senateurs2Flames4BWBoxScore
108 - 2022-01-30561Canucks2Flames3BWBoxScore
109 - 2022-01-31566Flames6Senateurs3AWBoxScore
113 - 2022-02-04583Flames4Canadiens3AWBoxScore
114 - 2022-02-05591Stars4Flames3BLBoxScore
117 - 2022-02-08608Flames1Blues4ALBoxScore
118 - 2022-02-09615Canucks1Flames3BWBoxScore
121 - 2022-02-12627Flames1Stars5ALBoxScore
123 - 2022-02-14638Stars2Flames3BWXBoxScore
125 - 2022-02-16651Flames1Stars4ALBoxScore
126 - 2022-02-17662Flames7Devils5AWBoxScore
128 - 2022-02-19669Rangers2Flames3BWXBoxScore
131 - 2022-02-22683Flames1Red Wings3ALBoxScore
132 - 2022-02-23690Blackhawks0Flames2BWBoxScore
135 - 2022-02-26709Capitals3Flames2BLXXBoxScore
136 - 2022-02-27718Flames3Capitals1AWBoxScore
138 - 2022-03-01733Canadiens2Flames1BLXBoxScore
143 - 2022-03-06753Penguins5Flames1BLBoxScore
144 - 2022-03-07763Flames1Canucks5ALBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2022-03-11779Blues4Flames2BLBoxScore
152 - 2022-03-15799Islanders4Flames3BLBoxScore
154 - 2022-03-17813Flames1Canucks2ALBoxScore
156 - 2022-03-19822Blues1Flames3BWBoxScore
159 - 2022-03-22841Flames3Blackhawks2AWXBoxScore
160 - 2022-03-23845Flames2Sharks5ALR5BoxScore
162 - 2022-03-25854Oilers3Flames1BLBoxScore
165 - 2022-03-28869Flames3Oilers1AWBoxScore
166 - 2022-03-29875Sabres4Flames1BLBoxScore
168 - 2022-03-31885Flames2Sabres3ALXBoxScore
170 - 2022-04-02898Ducks3Flames1BLBoxScore
174 - 2022-04-06917Oilers6Flames3BLBoxScore
178 - 2022-04-10937Ducks3Flames4BWBoxScore
179 - 2022-04-11940Flames1Avalanche2ALXBoxScore
184 - 2022-04-16959Flames4Bruins3AWXBoxScore
187 - 2022-04-19966Blackhawks1Flames2BWXBoxScore
188 - 2022-04-20971Flames5Oilers2AWBoxScore
189 - 2022-04-21974Flames1Avalanche4ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance58,02338,201
Attendance PCT70.76%93.17%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2347 - 78.23% 117,419$4,814,176$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,932,739$ 3,321,834$ 1,766,834$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
17,392$ 3,938,064$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 22,627$ 22,627$




Flames Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jake DeBrusk236102142244111544843177413.18%142497121.07155368145213151715442.21%30.98224
2Oscar Lindberg23093133226416447448278311.88%119427518.592835631192461516553.14%61.06214
3Kevin Fiala246105108213-3310029837485312.31%104480019.51162743797183118144.24%50.89220
4Danton Heinen24695117212-242830445872513.10%106460918.74201838715272413545.93%40.92214
5Thomas Chabot2172413816230763464454944.86%309511823.591417318107715220.00%00.6300

Flames Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexandar Georgiev1708161150.8873.49931130454248131911640.79248
2Pavel Francouz803026120.9023.194284002282322992200.75024
3Magnus Hellberg287860.8863.4913412078682292100.70010

Flames Career Team Stats

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
1282293808124295315-2041161705111152153-141132103013143162-19582954847793087111871129571011983944362962971122422382874917.07%3206579.69%61042220647.23%1007217646.28%649136647.51%1791103417547491423710
1582322904746303308-5411812034131641531141141701333139155-1693303501804029010310211260587086485848269589173121892615019.16%2877573.87%9948190649.74%997202449.26%601127547.14%1831111818017111354674
1682313306525251280-2941181304312131126541132002213120154-3488251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
1682313306525251280-2941181304312131126541132002213120154-3488251410661217993718257488381983462256386574621092783914.03%2765480.43%8999200349.88%978202148.39%616120850.99%1845110117317381403703
Total Regular Season32812313302418102011001183-8316470550161148578558201645378087612522625-10332711001805290574335400331381071036473485347020810783359234478645110417716.03%115924878.60%313988811849.13%3960824248.05%2482505749.08%731343567019293755852791
Playoff
151367000003640-4624000001519-4743000002121012366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112
Total Playoff1367000003640-4624000001519-4743000002121012366399101411924521411461541142215694334551018.18%471078.72%120438253.40%16632950.46%9018748.13%306184270114220112

Flames Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jake DeBrusk13811195619225016.00%627120.892681410120129.41%01.4000
2Jake Guentzel1388165223256013.33%827321.044371801112043.16%01.1700
3Oscar Lindberg1321315382623277.41%524318.72156300021156.58%01.2300
4Thomas Chabot131670122029175.88%1931524.2501100000000.00%00.4400
5Danton Heinen13437-521832439.30%721816.78202700000149.52%00.6400

Flames Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexandar Georgiev126420.9102.986850034377154010.0000
2Magnus Hellberg30100.8862.681122054420000.0000