Out of Date Version of the STHS! Please update your version!
Login

Flames
GP: 22 | W: 14 | L: 8 | OTL: 0 | P: 28
GF: 79 | GA: 68 | PP%: 18.60% | PK%: 83.51%
GM : Steve Landry | Morale : 51 | Team Overall : 76
Next Games #297 vs Blackhawks
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Sabres
12-8-1, 25pts
0
FINAL
6 Flames
14-8-0, 28pts
Team Stats
L2StreakL1
6-5-1Home Record9-2-0
6-3-0Away Record5-6-0
5-4-1Last 10 Games5-5-0
3.57Goals Per Game3.59
3.57Goals Against Per Game3.09
15.79%Power Play Percentage18.60%
78.00%Penalty Kill Percentage83.51%
Flames
14-8-0, 28pts
1
FINAL
2 Panthers
12-8-4, 28pts
Team Stats
L1StreakW1
9-2-0Home Record6-4-1
5-6-0Away Record6-4-3
5-5-0Last 10 Games5-3-2
3.59Goals Per Game3.79
3.09Goals Against Per Game3.71
18.60%Power Play Percentage16.38%
83.51%Penalty Kill Percentage82.88%
Blackhawks
9-11-3, 21pts
2023-12-04
Flames
14-8-0, 28pts
Team Stats
L1StreakL1
6-3-2Home Record9-2-0
3-8-1Away Record5-6-0
6-3-1Last 10 Games5-5-0
3.09Goals Per Game3.59
3.78Goals Against Per Game3.59
13.40%Power Play Percentage18.60%
84.31%Penalty Kill Percentage83.51%
Flames
14-8-0, 28pts
2023-12-06
Penguins
11-9-3, 25pts
Team Stats
L1StreakW6
9-2-0Home Record6-4-1
5-6-0Away Record5-5-2
5-5-0Last 10 Games7-1-2
3.59Goals Per Game3.48
3.09Goals Against Per Game3.48
18.60%Power Play Percentage19.09%
83.51%Penalty Kill Percentage81.19%
Blues
14-6-1, 29pts
2023-12-09
Flames
14-8-0, 28pts
Team Stats
W1StreakL1
9-3-0Home Record9-2-0
5-3-1Away Record5-6-0
8-2-0Last 10 Games5-5-0
3.62Goals Per Game3.59
2.90Goals Against Per Game3.59
18.00%Power Play Percentage18.60%
80.72%Penalty Kill Percentage83.51%
Team Leaders
Goals
Eric Staal
13
Assists
Jimmy Hayes
16
Points
Eric Staal
28
Plus/Minus
Bryan Rust
10
Wins
Christopher Gibson
8
Save Percentage
Christopher Gibson
0.906

Team Stats
Goals For
79
3.59 GFG
Shots For
712
32.36 Avg
Power Play Percentage
18.6%
16 GF
Offensive Zone Start
38.8%
Goals Against
68
3.09 GAA
Shots Against
654
29.73 Avg
Penalty Kill Percentage
83.5%%
16 GA
Defensive Zone Start
36.1%
Team Info

General ManagerSteve Landry
CoachLindy Ruff
DivisionLalancette K
ConferencePrince de Galles
CaptainEric Staal
Assistant #1Erik Johnson
Assistant #2


Arena Info

NameScotiabank Saddledome
Capacity18,000
Attendance17,542
Season Tickets7,200


Roster Info

Pro Team24
Farm Team32
Contract Limit56 / 250
Prospects0


Salary Cap

Estimated Season Salary Cap64,420,748$
Available Salary Cap42,856,646$
Special Salary Cap Value0$
Players In Salary Cap24


Finance

Year to Date Revenue15,578,309$
Year To Date Expenses18,447,106$
Estimated Season Revenue41,070,087$
Estimated Season Expenses47,973,640$
Current Bank Account41,277,394$
Projected Bank Account37,236,059$


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 SPAgeContractSalary
1Eric Staal (C)X100.0075547977757787877977797486949916577913425,000,000$
2Jimmy HayesX100.0083447676807282847281857667747025577802912,500,000$
3Brad MarchandX100.0079457978857879747678817784796324577703035,000,000$
4Bryan RustX100.0070258778798882747782807974715635577702612,000,000$
5Patrik BerglundX100.0078278775808084777979847579806223577713045,000,000$
6Tanner PearsonX100.0069289480828083816771876581736940577602632,500,000$
7Colin WilsonX100.0075248278878081778574796378686429577502913,500,000$
8Jake DeBrusk (R)X100.0079528377807977757276817073604955577502212,000,000$
9Kevin Labanc (R)X100.0067278086807880847477756886635349577502221,900,000$
10Kyle PalmieriX100.0072248078818183847576767379595731577502722,500,000$
11Anders LeeX100.0082268479747771737470836773686526577402811,500,000$
12David UllstromX100.0075218172818276807381657568686226577402912,500,000$
13Erik Johnson (A)X100.0074477881828489806982818667905427578013046,000,000$
14Sami VatanenX100.0076368584838589846480817473825334577912714,000,000$
15Christian FolinX100.0071318382788183886480648362746229577702722,000,000$
16Esa LindellX100.0075298882798082855486737567735141577702433,000,000$
17Colby RobakX100.0077367975817978757082727870765628577602812,100,000$
18David SavardX100.0078427876788078716569727670806227347402812,000,000$
Scratches
1Matthew NietoX100.0072288070798381777379746470726935207302621,000,000$
2Victor Rask (R)X100.0074347975757877757571816678645540207302511,300,000$
3Chris BrownX100.006442817470717365615479557053532724660271800,000$
4Mathieu BrodeurX100.007428867074757373507258796074572344730281925,000$
Farm Team
1Evgeny Svechnikov (R)X100.007232887287787775787190577160505339740221975,000$
2Peter Cehlarik (R)X100.006944807368747374757672617252484842700232850,000$
3Barclay Goodrow (R)X100.007929756973707171676971726654523542690252900,000$
4Nico Sturm (R)X100.006629877278787765727559697051504542690233750,000$
5Ryan SpoonerX100.006431767473727768767966636555513342680261900,000$
6Jesper Bratt (R)X100.006546747370757171747270617347446442680203750,000$
7Eric Karlsson (R)X100.007833747078707065656773595650503842660242750,000$
8Ryan Donato (R)X100.007438756480657166746775496744444742660223800,000$
9Taylor Raddysh (R)X100.005946806470706070696267586743435942640201500,000$
10Vladislav Kamenev (R)X100.007131735172666869605975577344444838630223700,000$
11Tage Thompson (R)X100.005932846965786556657254625946455933620213700,000$
12Vitali Kravtsov (R)X100.006943726262587063616065536442416742610192500,000$
13Rasmus Andersson (R)X100.0075378381727376834681687458634854287402211,500,000$
14Frank Corrado (R)X100.007140757277747671596961716062533637700252850,000$
15Dominik Masin (R)X100.006831877071697257356346795353464842670222650,000$
16Erik Brannstrom (R)X100.005529727455537485418362724046427442660191500,000$
17Brandon Hickey (R)X100.006627846364646455366947785348453842650221600,000$
18Christian Jaros (R)X100.006729776562616265367150725445464342650222650,000$
19Ivan Chekhovich (R)X100.006325754876555961586077376541416320590191500,000$
20Radim Zohorna (R)X100.005739746170736260555669445747454820590223600,000$
21Skyler Brind'Amour (R)X100.004433765154695647545554555441416220530191500,000$
22Demetrios Koumontzis (R)X100.004128605549545055676258304740405820520182500,000$
23Filip Hallander (R)X100.004529675847494356445948394440406820500182500,000$
24John Gilmour (R)X100.007034776863766975517257665848503020670251800,000$
25Trevor Carrick (R)X100.006238758166667576427555674449503220670243700,000$
26Petteri Lindbohm (R)X100.006039756467677071466871695749543423660253750,000$
27Darren Raddysh (R)X100.006325926560696348456737663950464820620221500,000$
28Tim Berni (R)X100.005827574051495557185750343140406020480182500,000$
TEAM AVERAGE100.00693479717272737162716965655953424169
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 SPAgeContractSalary
1Christopher Gibson98.007482767876788282798071646033577812612,400,000$
2Henrik Lundqvist100.008191747574787379747877939912577723613,000,000$
Scratches
Farm Team
1Michael Hutchinson100.00707975757474747678717371662442740282995,000$
2Joel Hofer (R)100.00665263746950435861537240406925570182500,000$
3Vitek Vanecek100.00637067606173775459766246464734650221600,000$
4Collin Delia100.00725765726958515863556742425420600243700,000$
TEAM AVERAGE99.6771727072716967686969705959403969
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lindy Ruff87647578888854CAN5412,000,000$


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
1Eric StaalFlamesC221315287240324278154316.67%846521.1732510691012543050.66%6791310011.2000000141
2Jimmy HayesFlamesRW2241620-426045205815306.90%936516.622791174011021152.63%19194001.0900000101
3Patrik BerglundFlamesC2291120440355056182616.07%1141318.8024612641011602252.63%38078010.9700000301
4Bryan RustFlamesRW22712191040233068143510.29%1040418.41000050111641047.62%211810100.9400000110
5Brad MarchandFlamesLW2279165140402253162413.21%1240518.43000060002541161.76%34136000.7900000010
6Kevin LabancFlamesRW225101508020156517337.69%729413.38033755000021175.00%8212001.0200000101
7Tanner PearsonFlamesLW2210414-100262446172821.74%335416.125051174000000141.67%1298000.7900000113
8Erik JohnsonFlamesD2231013734037494715166.38%4158726.712461082000174100.00%0914100.4402000101
9Colin WilsonFlamesC2255100202015253820.00%523310.6000000000022150.47%10785000.8600000001
10Jake DeBruskFlamesLW22371001403214354228.57%429313.35000455000021233.33%946000.6800000000
11Sami VatanenFlamesD2218968035494217102.38%3559927.24112982011188100.00%01119000.3000000011
12Kyle PalmieriFlamesRW227183801172251631.82%41898.620000010112201100.00%241000.8400000021
13Christian FolinFlamesD220776140314525580.00%2047121.42022352000065000.00%0518000.3000000001
14David UllstromFlamesLW2224616019101581513.33%11888.56000010000200033.33%355000.6400000010
15Esa LindellFlamesD22246260292029676.90%1438817.67101652000011000.00%0810000.3100000001
16Anders LeeFlamesC221341201513239214.35%31918.71000020000170047.76%6743000.4200000000
17Colby RobakFlamesD2204421402311161020.00%2434015.4800001011254000.00%059000.2300000000
18Mathieu BrodeurFlamesD11011-3004114220.00%212010.970000100001000.00%024000.1700000000
19David SavardFlamesD11000220685300.00%1013512.360000000008000.00%007000.00%00000000
Team Total or Average3967913121048190048345571219934611.10%223644516.281623398368334711608141051.30%1341165149220.650200091113
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
1Christopher GibsonFlames158400.9062.827660136381191200.00%01210301
2Henrik LundqvistFlames116400.8833.475540032273132200.00%01012110
Team Total or Average2614800.8963.09132001686543234002222411


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
Anders LeeFlamesC281990-01-01No225 Lbs6 ft2NoNoNo1Pro Only1,500,000$1,083,333$1,500,000$1,083,333$No
Brad MarchandFlamesLW301988-01-01No183 Lbs5 ft9NoNoNo3Pro Only5,000,000$3,611,111$5,000,000$3,611,111$No5,000,000$5,000,000$
Bryan RustFlamesRW261992-01-01No192 Lbs5 ft11NoNoNo1Pro Only2,000,000$1,444,444$2,000,000$1,444,444$No
Chris BrownFlamesC271991-01-01No215 Lbs6 ft2NoNoNo1Pro & Farm800,000$577,778$800,000$577,778$No
Christian FolinFlamesD271991-01-01No214 Lbs6 ft3NoNoNo2Pro Only2,000,000$1,444,444$2,000,000$1,444,444$No2,200,000$
Christopher GibsonFlamesG261992-01-01No190 Lbs6 ft1NoNoNo1Pro Only2,400,000$1,733,333$2,400,000$1,733,333$No
Colby RobakFlamesD281990-01-01No194 Lbs6 ft3NoNoNo1Pro Only2,100,000$1,516,667$2,100,000$1,516,667$No
Colin WilsonFlamesC291989-01-01No210 Lbs6 ft1NoNoNo1Pro Only3,500,000$2,527,778$3,500,000$2,527,778$No
David SavardFlamesD281990-01-01No219 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$1,444,444$2,000,000$1,444,444$No
David UllstromFlamesLW291989-01-01No192 Lbs6 ft3NoNoNo1Pro Only2,500,000$1,805,556$2,500,000$1,805,556$No
Eric StaalFlamesC341984-01-01No205 Lbs6 ft4NoNoNo2Pro Only5,000,000$3,611,111$5,000,000$3,611,111$No5,000,000$
Erik JohnsonFlamesD301988-01-01No232 Lbs6 ft4NoNoNo4Pro Only6,000,000$4,333,333$6,000,000$4,333,333$No6,000,000$6,000,000$6,000,000$
Esa LindellFlamesD241994-01-01No187 Lbs6 ft3NoNoNo3Pro Only3,000,000$2,166,667$3,000,000$2,166,667$No3,500,000$4,000,000$
Henrik LundqvistFlamesG361982-01-01No198 Lbs6 ft1NoNoNo1Pro Only3,000,000$2,166,667$3,000,000$2,166,667$No
Jake DeBruskFlamesLW221996-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$1,444,444$2,000,000$1,444,444$No
Jimmy HayesFlamesRW291989-01-01No221 Lbs6 ft6NoNoNo1Pro Only2,500,000$1,805,556$2,500,000$1,805,556$No
Kevin LabancFlamesRW221996-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm1,900,000$1,372,222$1,900,000$1,372,222$No2,800,000$
Kyle PalmieriFlamesRW271991-01-01No195 Lbs5 ft11NoNoNo2Pro Only2,500,000$1,805,556$2,500,000$1,805,556$No2,500,000$
Mathieu BrodeurFlamesD281990-01-01No215 Lbs6 ft6NoNoNo1Pro & Farm925,000$668,056$925,000$668,056$No
Matthew NietoFlamesLW261992-01-01No190 Lbs5 ft11NoNoNo2Pro Only1,000,000$722,222$1,000,000$722,222$No1,000,000$
Patrik BerglundFlamesC301988-01-01No218 Lbs6 ft4NoNoNo4Pro Only5,000,000$3,611,111$5,000,000$3,611,111$No5,000,000$5,000,000$5,000,000$
Sami VatanenFlamesD271991-01-01No183 Lbs5 ft10NoNoNo1Pro Only4,000,000$2,888,889$4,000,000$2,888,889$No
Tanner PearsonFlamesLW261992-01-01No193 Lbs6 ft0NoNoNo3Pro Only2,500,000$1,805,556$2,500,000$1,805,556$No3,000,000$3,500,000$
Victor RaskFlamesC251993-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm1,300,000$938,889$1,300,000$938,889$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2427.67202 Lbs6 ft21.712,684,375$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
64,425,000$36,000,000$23,500,000$11,000,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brad MarchandEric StaalBryan Rust40122
2Tanner PearsonPatrik BerglundJimmy Hayes30122
3Jake DeBruskColin WilsonKevin Labanc20122
4David UllstromAnders LeeKyle Palmieri10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonSami Vatanen40122
2Esa LindellChristian Folin30122
3Colby RobakDavid Savard20122
4Erik JohnsonSami Vatanen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tanner PearsonEric StaalJimmy Hayes60122
2Jake DeBruskPatrik BerglundKevin Labanc40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonSami Vatanen60122
2Esa LindellChristian Folin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrik BerglundBrad Marchand60122
2Eric StaalBryan Rust40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonSami Vatanen60122
2Colby RobakChristian Folin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Eric Staal60122Erik JohnsonSami Vatanen60122
2Patrik Berglund40122Colby RobakChristian Folin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Eric StaalBryan Rust60122
2Patrik BerglundBrad Marchand40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonSami Vatanen60122
2Esa LindellChristian Folin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brad MarchandEric StaalBryan RustErik JohnsonSami Vatanen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brad MarchandEric StaalBryan RustErik JohnsonSami Vatanen
Extra Forwards
Normal PowerPlayPenalty Kill
Tanner Pearson, Jimmy Hayes, Patrik BerglundJake DeBrusk, Anders LeeBryan Rust
Extra Defensemen
Normal PowerPlayPenalty Kill
Colby Robak, Esa Lindell, Christian FolinEsa LindellChristian Folin, David Savard
Penalty Shots
Eric Staal, Tanner Pearson, Jimmy Hayes, Kyle Palmieri, Patrik Berglund
Goalie
#1 : Christopher Gibson, #2 : Henrik Lundqvist
Custom OT Lines Forwards
Eric Staal, Tanner Pearson, Patrik Berglund, Jimmy Hayes, Bryan Rust, Brad Marchand, Brad Marchand, Colin Wilson, Jake DeBrusk, Kevin Labanc, Kyle Palmieri
Custom OT Lines Defensemen
Erik Johnson, Sami Vatanen, Christian Folin, Esa Lindell, Colby Robak


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
1Canadiens11000000211110000002110000000000021.00023500011038219803211820100.00%50100.00%024752047.50%26048353.83%18133653.87%2213198178
2Capitals11000000633110000006330000000000021.0006915000420358171003194218337.50%2150.00%024752047.50%26048353.83%18133653.87%22121981810
3Flyers22000000633110000003121100000032141.00061016001320591329170571914449111.11%7185.71%024752047.50%26048353.83%18133653.87%432439173618
4Jets1010000068-21010000068-20000000000000.00061117001410346199035412122150.00%6350.00%124752047.50%26048353.83%18133653.87%2012228167
5Kings4310000013121220000007342110000069-360.75013223500355014233565301123752871317.69%26292.31%124752047.50%26048353.83%18133653.87%844686386833
6Maple Leafs43001000181082200000010552100100085381.000183048004941114453632113147309225624.00%15380.00%024752047.50%26048353.83%18133653.87%875088366633
7Oilers1010000046-21010000046-20000000000000.0004812000220257126021111031300.00%5260.00%024752047.50%26048353.83%18133653.87%1992010199
8Panthers1010000012-1000000000001010000012-100.00012300001030811110357220300.00%10100.00%024752047.50%26048353.83%18133653.87%2011218189
9Rangers1010000046-2000000000001010000046-200.0004812001210301191003091225300.00%6183.33%024752047.50%26048353.83%18133653.87%2110209189
10Red Wings11000000532110000005320000000000021.00058130021203617613033168164125.00%4175.00%124752047.50%26048353.83%18133653.87%2314208168
11Sabres11000000606110000006060000000000021.0006814013120411791502786167228.57%30100.00%024752047.50%26048353.83%18133653.87%2313209168
12Sharks30300000512-70000000000030300000512-700.0005813000230993128400953522766116.67%12283.33%024752047.50%26048353.83%18133653.87%623561265527
13Stars11000000321000000000001100000032121.000347001110298912015101023200.00%50100.00%024752047.50%26048353.83%18133653.87%2112209188
Total22138010007968111192000004930191146010003038-8280.636791312100116352717122252502361654223190483861618.60%971683.51%324752047.50%26048353.83%18133653.87%473267461201387193
_Since Last GM Reset22138010007968111192000004930191146010003038-8280.636791312100116352717122252502361654223190483861618.60%971683.51%324752047.50%26048353.83%18133653.87%473267461201387193
_Vs Conference1811601000655510108200000432716834010002228-6240.667651081730114282215881902041931543188162394701318.57%831483.13%324752047.50%26048353.83%18133653.87%388221380164313155
_Vs Division10810100037251255000000209115310100017161180.900376299008171113159112110213001039622347817.02%48687.50%124752047.50%26048353.83%18133653.87%2151212149217185

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2228L17913121071265422319048301
All Games
GPWLOTWOTL SOWSOLGFGA
2213810007968
Home Games
GPWLOTWOTL SOWSOLGFGA
119200004930
Visitor Games
GPWLOTWOTL SOWSOLGFGA
114610003038
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
861618.60%971683.51%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
22525023611635271
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24752047.50%26048353.83%18133653.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
473267461201387193


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
3 - 2023-10-1111Flames4Maple Leafs2AWBoxScore
5 - 2023-10-1317Flames2Sharks4ALBoxScore
6 - 2023-10-1421Flames3Kings2AWR1BoxScore
7 - 2023-10-1526Kings1Flames3BWBoxScore
11 - 2023-10-1948Oilers6Flames4BLBoxScore
13 - 2023-10-2161Flames3Flyers2AWBoxScore
14 - 2023-10-2264Flames4Maple Leafs3AWXBoxScore
16 - 2023-10-2478Maple Leafs1Flames4BWBoxScore
21 - 2023-10-29102Kings2Flames4BWR1BoxScore
24 - 2023-11-01117Flames3Kings7ALBoxScore
25 - 2023-11-02126Flyers1Flames3BWBoxScore
28 - 2023-11-05143Red Wings3Flames5BWBoxScore
33 - 2023-11-10164Maple Leafs4Flames6BWBoxScore
37 - 2023-11-14188Canadiens1Flames2BWBoxScore
38 - 2023-11-15195Flames1Sharks5ALBoxScore
43 - 2023-11-20214Jets8Flames6BLBoxScore
45 - 2023-11-22225Flames4Rangers6ALBoxScore
47 - 2023-11-24240Flames2Sharks3ALBoxScore
49 - 2023-11-26245Flames3Stars2AWBoxScore
50 - 2023-11-27254Capitals3Flames6BWBoxScore
53 - 2023-11-30272Sabres0Flames6BWBoxScore
55 - 2023-12-02286Flames1Panthers2ALBoxScore
57 - 2023-12-04297Blackhawks-Flames-
59 - 2023-12-06309Flames-Penguins-
62 - 2023-12-09325Blues-Flames-
66 - 2023-12-13344Lightning-Flames-
69 - 2023-12-16358Flames-Jets-
71 - 2023-12-18368Flames-Canucks-
72 - 2023-12-19377Maple Leafs-Flames-
76 - 2023-12-23395Sharks-Flames-
78 - 2023-12-25407Flames-Golden Knights-
82 - 2023-12-29423Flames-Avalanche-
83 - 2023-12-30430Senateurs-Flames-
87 - 2024-01-03450Red Wings-Flames-
91 - 2024-01-07470Flames-Blues-
92 - 2024-01-08477Predators-Flames-
96 - 2024-01-12500Bruins-Flames-
98 - 2024-01-14507Flames-Jets-
102 - 2024-01-18525Bruins-Flames-
104 - 2024-01-20543Flames-Devils-
106 - 2024-01-22550Penguins-Flames-
110 - 2024-01-26573Canucks-Flames-
112 - 2024-01-28587Flames-Bruins-
115 - 2024-01-31600Oilers-Flames-
119 - 2024-02-04626Sabres-Flames-
121 - 2024-02-06634Flames-Red Wings-
123 - 2024-02-08652Flyers-Flames-
125 - 2024-02-10660Flames-Sabres-
129 - 2024-02-14678Islanders-Flames-
131 - 2024-02-16689Flames-Capitals-
133 - 2024-02-18703Flames-Kings-
134 - 2024-02-19706Devils-Flames-
136 - 2024-02-21723Flames-Blackhawks-
138 - 2024-02-23731Avalanche-Flames-
143 - 2024-02-28751Flames-Blackhawks-
144 - 2024-02-29759Golden Knights-Flames-
147 - 2024-03-03779Flames-Senateurs-
148 - 2024-03-04783Stars-Flames-
151 - 2024-03-07801Flames-Flyers-
153 - 2024-03-09809Flyers-Flames-
156 - 2024-03-12828Flames-Maple Leafs-
157 - 2024-03-13835Canadiens-Flames-
Trade Deadline --- Trades can’t be done after this day is simulated!
160 - 2024-03-16849Flames-Predators-
162 - 2024-03-18860Flames-Kings-
163 - 2024-03-19865Senateurs-Flames-
166 - 2024-03-22882Flames-Oilers-
167 - 2024-03-23888Golden Knights-Flames-
169 - 2024-03-25896Flames-Bruins-
172 - 2024-03-28914Oilers-Flames-
173 - 2024-03-29923Flames-Predators-
176 - 2024-04-01935Flames-Islanders-
177 - 2024-04-02944Panthers-Flames-
180 - 2024-04-05960Flames-Maple Leafs-
181 - 2024-04-06968Rangers-Flames-
182 - 2024-04-07972Flames-Lightning-
186 - 2024-04-11987Flames-Islanders-
188 - 2024-04-131000Kings-Flames-
190 - 2024-04-151008Flames-Canadiens-
192 - 2024-04-171021Kings-Flames-
196 - 2024-04-211038Flames-Flyers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100603525200
Attendance63,44953,48921,72943,58410,710
Attendance PCT96.13%97.25%98.77%99.05%97.36%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
29 17542 - 97.46% 1,416,210$15,578,309$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
18,447,106$ 64,425,000$ 46,700,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
325,379$ 17,891,551$ 0$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
41,070,087$ 143 335,480$ 47,973,640$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
50,186,854$ 41,277,394$ 37,236,059$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
64,420,748$ 42,856,646$ 107,277,394$ 29,420,748$



Depth Chart

Left WingCenterRight Wing
Brad MarchandAGE:30PO:24OV:77
Tanner PearsonAGE:26PO:40OV:76
Jake DeBrusk (R)AGE:22PO:55OV:75
David UllstromAGE:29PO:26OV:74
Matthew NietoAGE:26PO:35OV:73
Peter Cehlarik (R)AGE:23PO:48OV:70
Jesper Bratt (R)AGE:20PO:64OV:68
Eric Karlsson (R)AGE:24PO:38OV:66
Vitali Kravtsov (R)AGE:19PO:67OV:61
Ivan Chekhovich (R)AGE:19PO:63OV:59
Radim Zohorna (R)AGE:22PO:48OV:59
Demetrios Koumontzis (R)AGE:18PO:58OV:52
Eric StaalAGE:34PO:16OV:79
Patrik BerglundAGE:30PO:23OV:77
Colin WilsonAGE:29PO:29OV:75
Anders LeeAGE:28PO:26OV:74
Victor Rask (R)AGE:25PO:40OV:73
Nico Sturm (R)AGE:23PO:45OV:69
Ryan SpoonerAGE:26PO:33OV:68
Ryan Donato (R)AGE:22PO:47OV:66
Chris BrownAGE:27PO:27OV:66
Vladislav Kamenev (R)AGE:22PO:48OV:63
Skyler Brind'Amour (R)AGE:19PO:62OV:53
Filip Hallander (R)AGE:18PO:68OV:50
Jimmy HayesAGE:29PO:25OV:78
Bryan RustAGE:26PO:35OV:77
Kevin Labanc (R)AGE:22PO:49OV:75
Kyle PalmieriAGE:27PO:31OV:75
Evgeny Svechnikov (R)AGE:22PO:53OV:74
Barclay Goodrow (R)AGE:25PO:35OV:69
Taylor Raddysh (R)AGE:20PO:59OV:64
Tage Thompson (R)AGE:21PO:59OV:62

Defense #1Defense #2Goalie
Erik JohnsonAGE:30PO:27OV:80
Sami VatanenAGE:27PO:34OV:79
Esa LindellAGE:24PO:41OV:77
Christian FolinAGE:27PO:29OV:77
Colby RobakAGE:28PO:28OV:76
Rasmus Andersson (R)AGE:22PO:54OV:74
David SavardAGE:28PO:27OV:74
Mathieu BrodeurAGE:28PO:23OV:73
Frank Corrado (R)AGE:25PO:36OV:70
Dominik Masin (R)AGE:22PO:48OV:67
Trevor Carrick (R)AGE:24PO:32OV:67
John Gilmour (R)AGE:25PO:30OV:67
Erik Brannstrom (R)AGE:19PO:74OV:66
Petteri Lindbohm (R)AGE:25PO:34OV:66
Christian Jaros (R)AGE:22PO:43OV:65
Brandon Hickey (R)AGE:22PO:38OV:65
Darren Raddysh (R)AGE:22PO:48OV:62
Tim Berni (R)AGE:18PO:60OV:48
Christopher GibsonAGE:26PO:33OV:78
Henrik LundqvistAGE:36PO:12OV:77
Michael HutchinsonAGE:28PO:24OV:74
Vitek VanecekAGE:22PO:47OV:65
Collin DeliaAGE:24PO:54OV:60
Joel Hofer (R)AGE:18PO:69OV: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

Draft Picks

Year R1R2R3R4R5
4
5
6
7
8






Flames Trade History

[2023-09-15 3:04:30 PM] - Erik Johnson signed with Flames for $6,000,000 for 4 year(s).
[2023-09-15 3:04:30 PM] - Erik Johnson was added to Flames.



[2023-11-28 7:00:53 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-26 7:40:47 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-26 7:34:13 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-24 7:05:15 PM] Pro Game #214 - Eric Staal from Flames has scored a Hat Trick!
[2023-11-21 7:03:12 PM] Tage Thompson from Heat is back from Sprained Right Knee Injury.
[2023-11-18 10:19:45 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-17 9:28:27 PM] Game 200 - Tage Thompson from Heat is injured (Sprained Right Knee) and is out for 1 week.
[2023-11-14 7:38:10 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-13 8:19:39 PM] Evgeny Svechnikov from Heat completes suspension
[2023-11-12 9:23:54 PM] Rasmus Andersson from Heat is back from Sprained Right Finger Injury.
[2023-11-10 8:14:37 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-10 8:11:11 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-10 8:02:12 PM] Evgeny Svechnikov from Flames suspended for 1 game(s)
[2023-11-09 8:56:34 PM] Evgeny Svechnikov from Heat completes suspension
[2023-11-09 8:56:21 PM] Auto Lines Function has been run for Heat.
[2023-11-09 8:56:21 PM] Auto Roster Farm Only Function has been run for Flames.
[2023-11-09 8:55:59 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-09 8:53:57 PM] Evgeny Svechnikov from Flames suspended for 1 game(s)
[2023-11-08 9:25:29 PM] Auto Lines Function has been run for Heat.
[2023-11-08 9:25:29 PM] Auto Lines Function has been run for Flames.
[2023-11-08 9:25:29 PM] Auto Roster Partial Function has been run for Flames.
[2023-11-07 9:47:43 PM] Game 145 - Rasmus Andersson from Heat is injured (Sprained Right Finger) and is out for 1 week.
[2023-11-05 9:38:28 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-03 11:25:39 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-11-01 7:54:40 PM] Pro Game #102 - Patrik Berglund from Flames has scored a Hat Trick!



No Injury or Suspension.


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

Flames Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

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

Flames Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA