Calgary
GP: 34 | W: 16 | L: 18 | OTL: 0 | P: 32
GF: 87 | GA: 95 | PP%: 19.85% | PK%: 82.00%
GM : Millow | Morale : 50 | Team Overall : 69
Next Games #576 vs San Jose
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Ottawa
11-19-4, 26pts
3
FINAL
7 Calgary
16-18-0, 32pts
Team Stats
L1StreakW2
6-8-3Home Record10-9-0
5-11-1Away Record6-9-0
3-5-2Last 10 Games6-4-0
1.85Goals Per Game2.56
2.59Goals Against Per Game2.79
12.71%Power Play Percentage19.85%
83.45%Penalty Kill Percentage82.00%
Chicago
10-21-4, 24pts
1
FINAL
3 Calgary
16-18-0, 32pts
Team Stats
L2StreakW2
4-8-3Home Record10-9-0
6-13-1Away Record6-9-0
3-6-1Last 10 Games6-4-0
2.03Goals Per Game2.56
3.20Goals Against Per Game2.79
21.43%Power Play Percentage19.85%
75.00%Penalty Kill Percentage82.00%
Calgary
16-18-0, 32pts
Day 55
San Jose
8-25-4, 20pts
Team Stats
W2StreakL4
10-9-0Home Record3-12-1
6-9-0Away Record5-13-3
6-4-0Last 10 Games0-8-2
2.56Goals Per Game1.43
2.79Goals Against Per Game1.43
19.85%Power Play Percentage13.57%
82.00%Penalty Kill Percentage76.15%
Calgary
16-18-0, 32pts
Day 56
Las Vegas
20-11-3, 43pts
Team Stats
W2StreakW2
10-9-0Home Record13-3-1
6-9-0Away Record7-8-2
6-4-0Last 10 Games5-3-2
2.56Goals Per Game2.47
2.79Goals Against Per Game2.47
19.85%Power Play Percentage14.08%
82.00%Penalty Kill Percentage85.12%
Vancouver
16-15-3, 35pts
Day 57
Calgary
16-18-0, 32pts
Team Stats
W1StreakW2
8-10-1Home Record10-9-0
8-5-2Away Record6-9-0
4-5-1Last 10 Games6-4-0
2.71Goals Per Game2.56
2.74Goals Against Per Game2.56
20.93%Power Play Percentage19.85%
81.12%Penalty Kill Percentage82.00%
Team Leaders
Blake ColemanGoals
Blake Coleman
12
Blake ColemanAssists
Blake Coleman
17
Blake ColemanPoints
Blake Coleman
29
Blake ColemanPlus/Minus
Blake Coleman
6

Team Stats
Goals For
87
2.56 GFG
Shots For
798
23.47 Avg
Power Play Percentage
19.9%
27 GF
Offensive Zone Start
38.0%
Goals Against
95
2.79 GAA
Shots Against
891
26.21 Avg
Penalty Kill Percentage
82.0%%
27 GA
Defensive Zone Start
41.0%
Team Info

General ManagerMillow
DivisionPacific
ConferenceWestern
Captain
Assistant #1
Assistant #2Mikael Backlund


Arena Info

NameScotiabank Saddledome
Capacity16,000
Attendance15,960
Season Tickets3,200


Roster Info

Pro Team25
Farm Team10
Contract Limit35 / 50
Prospects30


Salary Cap

Estimated Season Salary Cap54,944,212$
Available Salary Cap10,055,788$
Special Salary Cap Value0$
Players In Salary Cap25


Finance

Year to Date Revenue23,062,903$
Year To Date Expenses24,013,444$
Estimated Season Revenue26,704,414$
Estimated Season Expenses30,930,768$
Current Bank Account24,642,548$
Projected Bank Account20,029,104$


Team History

This Season16-18-0 (32PTS)
History90-95-12 (0.457%)
Playoff Appearances2
Playoff Record (W-L)0-0
Stanley Cup0


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
1Mikael Backlund (A)X98.0063369280717699755668628056998205078N13525,200,000$
2Blake ColemanX100.0071507273697295795169807565696505077N13234,000,000$
3Jonathan HuberdeauX100.0063418274717398765081576148887405075N13125,000,000$
4Ryan HartmanX100.006648717069719276497072676072660507402921,600,000$
5Andrew MangiapaneX100.006543807465709374507262685661590507302864,000,000$
6Andrei KuzmenkoX100.005631946368689074507174615943480507202863,800,000$
7Martin Pospisil (R)X100.00948034656763826647645361523745050660241775,000$
8Kevin RooneyX100.007644887270605557433748724950550506403141,200,000$
9Milan LucicX100.0076733058806229604555516051998205063N03613,100,000$
10Walker DuehrX100.00754390697454615844504158463847053630264900,000$
11Cole Schwindt (R)X100.00554565726852296353534949503341056580231855,833$
12Matthew PhillipsX100.005430945858585354435139494535440535702671,100,000$
13MacKenzie WeegarX100.007846867971779973497669806064620508023042,700,000$
14Rasmus AnderssonX100.006238877571799570487551764963580507612711,000,000$
15Dougie HamiltonX100.005544688582734372498068665984720507403126,400,000$
16Juuso ValimakiX100.006435957173698663466235714348500507002511,200,000$
17Daniil MiromanovX100.00573882757572476045575262513642050660262800,000$
18Nick DeSimoneX100.00633789716958565744544060453648056630295900,000$
Scratches
1Elias LindholmX99.006638917671779376707563725588740507812924,400,000$
2Matthew Poitras (R)X82.51613885656565556743665554533542053640204870,000$
3Oliver KylingtonX59.996240837667665559455449615046490506502712,500,000$
4Dennis GilbertX98.627553697075565659455535684338450506502771,100,000$
Farm Team
1Matt Coronato (R)X100.00593785736563566545575055503542053630212925,000$
2Jakob Pelletier (R)X100.00533387716157376647585352523544050610231863,333$
3Josh Doan (R)X100.00624867676863356546585445523437050600222925,000$
4Glenn GawdinX100.00625553647053266240594950503445050570271700,000$
5Adam Klapka (R)X100.00767625678552305643424553483339050560231832,500$
6Jordan OesterleX100.006244757267584558445235654358570506303231,000,000$
7Robert HaggX100.007564486874573058444934714256540506202921,200,000$
8Ilya Solovyov (R)X100.00625063707563345945623261413443050610231828,833$
9Connor MackeyX100.00837925677464265844553366423646050610271900,000$
10Yan Kuznetsov (R)X100.00625356717655265744483267413341050590222870,000$
TEAM AVERAGE98.0766477271716460654760516350525305166
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
1Dustin Wolf (R)98.0063606063606464656863552734053650231813,333$
2Devin Cooley100.0062545473576162606159552627050630271775,000$
Scratches
1Dan Vladar37.1065626277606866666664553335050680262800,000$
Farm Team
TEAM AVERAGE78.376359597159646464656255293205165
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Blake ColemanCalgaryRW3412172963006844106358111.32%564819.08369301120001931051.58%9500000.8911000122
2Jonathan HuberdeauCalgaryLW3411172846029234883622.92%461318.04257131140000691256.45%6200000.9111000230
3Elias LindholmCalgaryC27111021-210076866254216.67%461522.79246129100001052257.89%74800000.6801000201
4Mikael BacklundCalgaryC2661420410018736716468.96%1256221.65257247800011001056.74%63800000.7101000020
5MacKenzie WeegarCalgaryD3461420-736065606418409.38%4681123.85628401140002113010%000000.4900000102
6Rasmus AnderssonCalgaryD2921719-34014192071710.00%3160921.021678900000106000%000000.6200000010
7Ryan HartmanCalgaryRW34118192140633572165915.28%359517.51426221020002283054.55%4400000.6400000311
8Dougie HamiltonCalgaryD231141531203623457202.22%2546920.411672670000171100%000000.6400000101
9Andrew MangiapaneCalgaryLW2941014012029216218456.45%349617.1315614830002250046.88%3200000.5600000111
10Juuso ValimakiCalgaryD3449132120272022131718.18%4571421.02246101060000112200%000000.3600000001
11Kevin RooneyCalgaryC344610-460843439289.30%446713.74202220000440142.96%41900000.4300000001
12Andrei KuzmenkoCalgaryLW34549-14000216019448.33%150014.73011030000071051.67%6000000.3600000010
13Milan LucicCalgaryLW34325-224034111711217.65%32697.9300000000041166.67%1500000.3700000101
14Dennis GilbertCalgaryD32235-2400601783525.00%2740012.52101321000027100%000000.2500000000
15Daniil MiromanovCalgaryD34044-62202719165250%2857716.98022639000043000%000000.1400000010
16Martin PospisilCalgaryRW34134-1560109722497252.04%146813.7800018000040050.00%3600000.1700002000
17Oliver KylingtonCalgaryD28224-9180231245350.00%2137213.2900006000020000%000000.2100000000
18Nick DeSimoneCalgaryD70440100852010%711516.520000100006000%000000.6900000000
19Matthew PoitrasCalgaryC26101-780619181105.56%234513.300001380000181036.97%35700000.0600000000
20Cole SchwindtCalgaryC4000100051020%04912.3400000000010042.86%420000000000000
21Walker DuehrCalgaryRW8000100323120%0455.690000100000000%20000000000000
22Matt CoronatoFarm Team 29 (CGY)LW5000000101030%1234.77000000000000100.00%10000000000000
23Matthew PhillipsCalgaryRW28000-300034220%01635.8300006000000036.36%220000000000000
Team Total or Average61286158244-513341062356579821656510.78%273993616.2427487521211220009100615751.15%257300000.4924002121211
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
1Dustin WolfCalgary117300.8992.6463701282760000.7504113120
2Dan VladarCalgary145700.8863.18698413732500000146121
3Devin CooleyCalgary144800.9002.45710012928900100925101
Team Total or Average39161800.8942.762047439489000143434342


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Andrei Kuzmenko (1 Way Contract)CalgaryLW281996-02-04RUSNo194 Lbs5 ft11NoNoTrade2024-07-15YesYes62024-07-31FalseFalsePro & Farm3,800,000$3,800,000$2,149,180$No3,800,000$3,800,000$3,800,000$3,800,000$3,800,000$-------------NoNoNoNoNo----Link
Andrew Mangiapane (1 Way Contract)CalgaryLW281996-04-04CANNo184 Lbs5 ft10NoNoN/AYesYes62024-07-31FalseFalsePro & Farm4,000,000$4,000,000$2,262,295$No4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$-------------NoNoNoNoNo----Link / NHL Link
Blake Coleman (1 Way Contract)CalgaryRW321991-11-28USANo199 Lbs5 ft11YesNoTrade2024-07-15YesYes32024-07-31FalseFalsePro & Farm4,000,000$4,000,000$2,262,295$No4,000,000$4,000,000$----------------YesYes-------NHL Link
Cole SchwindtCalgaryC232001-04-25CANYes182 Lbs6 ft2NoNoProspectNoNo12024-07-13FalseFalsePro & Farm855,833$855,833$484,037$No---------------------------Link
Dan Vladar (Out of Payroll)CalgaryG261997-08-20CZENo209 Lbs6 ft5NoNoN/AYesYes22024-07-13FalseFalsePro & Farm800,000$800,000$452,459$No800,000$--------800,000$--------No--------Link / NHL Link
Daniil Miromanov (1 Way Contract)CalgaryD261997-07-11RUSNo207 Lbs6 ft4NoNoTrade2024-03-09YesYes22024-07-13FalseFalsePro & Farm800,000$800,000$452,459$No800,000$--------800,000$--------No--------Link / NHL Link
Dennis GilbertCalgaryD271996-10-30USANo216 Lbs6 ft2NoNoN/AYesYes72024-07-31FalseFalsePro & Farm1,100,000$1,100,000$622,131$No1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$------------NoNoNoNoNoNo---Link
Devin CooleyCalgaryG271997-05-25USANo192 Lbs6 ft5NoNoTrade2024-07-15YesYes12024-07-13FalseFalsePro & Farm775,000$775,000$438,320$No---------------------------Link
Dougie Hamilton (1 Way Contract)CalgaryD311993-06-17CANNo230 Lbs6 ft6NoNoTrade2024-07-15YesYes22024-07-13FalseFalsePro & Farm6,400,000$6,400,000$3,619,672$No6,400,000$--------6,400,000$--------No--------Link / NHL Link
Dustin WolfCalgaryG232001-04-16USAYes166 Lbs6 ft0NoNoN/ANoNo12024-07-13FalseFalsePro & Farm813,333$813,333$460,000$No---------------------------Link
Elias Lindholm (1 Way Contract)CalgaryC291994-12-02SWENo202 Lbs6 ft1NoNoN/AYesYes22024-07-13FalseFalsePro & Farm4,400,000$4,400,000$2,488,525$No4,400,000$--------4,400,000$--------No--------Link / NHL Link
Jonathan Huberdeau (1 Way Contract)CalgaryLW311993-06-04CANNo200 Lbs6 ft1YesNoN/AYesYes22024-07-13FalseFalsePro & Farm5,000,000$5,000,000$2,827,869$No5,000,000$--------5,000,000$--------Yes--------Link / NHL Link
Juuso Valimaki (1 Way Contract)CalgaryD251998-10-06FINNo205 Lbs6 ft2NoNoN/AYesYes12024-07-13FalseFalsePro & Farm1,200,000$1,200,000$678,689$No---------------------------Link / NHL Link
Kevin Rooney (1 Way Contract)CalgaryC311993-05-21USANo190 Lbs6 ft2NoNoN/AYesYes42024-07-31FalseFalsePro & Farm1,200,000$1,200,000$678,689$No1,200,000$1,200,000$1,200,000$---------------NoNoNo------NHL Link
MacKenzie Weegar (1 Way Contract)CalgaryD301994-01-07CANNo206 Lbs6 ft0NoNoN/AYesYes42024-07-13FalseFalsePro & Farm2,700,000$2,700,000$1,527,049$No2,700,000$2,700,000$2,700,000$------2,700,000$2,700,000$2,700,000$------NoNoNo------NHL Link
Martin PospisilCalgaryRW241999-11-19SVKYes173 Lbs6 ft2NoNoProspectNoNo12024-07-13FalseFalsePro & Farm775,000$775,000$438,320$No---------------------------Link
Matthew Phillips (1 Way Contract)CalgaryRW261998-04-06CANNo160 Lbs5 ft8NoNoN/AYesYes72024-07-31FalseFalsePro & Farm1,100,000$1,100,000$622,131$No1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$------------NoNoNoNoNoNo---Link
Matthew PoitrasCalgaryC202004-03-10CANYes180 Lbs5 ft11NoNoTrade2024-08-30NoNo42024-07-13FalseFalsePro & Farm870,000$870,000$492,049$No870,000$870,000$870,000$------870,000$870,000$870,000$------NoNoNo------Link
Mikael Backlund (1 Way Contract)CalgaryC351989-03-17SWENo206 Lbs6 ft0YesNoN/AYesYes22024-07-31FalseFalsePro & Farm5,200,000$5,200,000$2,940,984$No5,200,000$-----------------Yes--------NHL Link
Milan Lucic (1 Way Contract)CalgaryLW361988-06-07CANNo236 Lbs6 ft3YesNoN/AYesYes12024-07-31FalseFalsePro & Farm3,100,000$3,100,000$1,753,279$No---------------------------NHL Link
Nick DeSimoneCalgaryD291994-11-21USANo185 Lbs6 ft2NoNoN/AYesYes52024-07-31FalseFalsePro & Farm900,000$900,000$509,016$No900,000$900,000$900,000$900,000$--------------NoNoNoNo-----Link
Oliver Kylington (Out of Payroll)CalgaryD271997-05-19SWENo183 Lbs6 ft0NoNoAssign ManuallyYesYes12024-07-13FalseFalsePro & Farm2,500,000$2,500,000$1,413,934$No---------------------------Link
Rasmus Andersson (1 Way Contract)CalgaryD271996-10-27SWENo202 Lbs6 ft1NoNoN/AYesYes12024-07-13FalseFalsePro & Farm1,000,000$1,000,000$565,574$No---------------------------Link / NHL Link
Ryan Hartman (1 Way Contract)CalgaryRW291994-09-20USANo197 Lbs6 ft0NoNoN/AYesYes22024-07-13FalseFalsePro & Farm1,600,000$1,600,000$904,918$No1,600,000$--------1,600,000$--------No--------Link / NHL Link
Walker Duehr (1 Way Contract)CalgaryRW261997-11-23USANo210 Lbs6 ft2NoNoN/AYesYes42024-07-13FalseFalsePro & Farm900,000$900,000$509,016$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2527.84197 Lbs6 ft12.882,231,567$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
55,789,166$44,770,000$20,570,000$16,570,000$10,900,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauMikael BacklundBlake Coleman32122
2Andrew MangiapaneKevin RooneyRyan Hartman29122
3Andrei KuzmenkoCole SchwindtMartin Pospisil24122
4Milan LucicMikael BacklundWalker Duehr15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1MacKenzie WeegarRasmus Andersson32122
2Dougie HamiltonJuuso Valimaki29122
3Daniil MiromanovNick DeSimone24122
4MacKenzie WeegarRasmus Andersson15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauMikael BacklundBlake Coleman60122
2Andrew MangiapaneKevin RooneyRyan Hartman40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1MacKenzie WeegarRasmus Andersson60122
2Dougie HamiltonJuuso Valimaki40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mikael BacklundBlake Coleman60122
2Jonathan HuberdeauRyan Hartman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1MacKenzie WeegarRasmus Andersson60122
2Dougie HamiltonJuuso Valimaki40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mikael Backlund60122MacKenzie WeegarRasmus Andersson60122
2Blake Coleman40122Dougie HamiltonJuuso Valimaki40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mikael BacklundBlake Coleman60122
2Jonathan HuberdeauRyan Hartman40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1MacKenzie WeegarRasmus Andersson60122
2Dougie HamiltonJuuso Valimaki40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonathan HuberdeauMikael BacklundBlake ColemanMacKenzie WeegarRasmus Andersson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jonathan HuberdeauMikael BacklundBlake ColemanMacKenzie WeegarRasmus Andersson
Extra Forwards
Normal PowerPlayPenalty Kill
Matthew Phillips, Andrei Kuzmenko, Martin PospisilMatthew Phillips, Andrei KuzmenkoMartin Pospisil
Extra Defensemen
Normal PowerPlayPenalty Kill
Daniil Miromanov, Nick DeSimone, Dougie HamiltonDaniil MiromanovNick DeSimone, Dougie Hamilton
Penalty Shots
Mikael Backlund, Blake Coleman, Jonathan Huberdeau, Ryan Hartman, Andrew Mangiapane
Goalie
#1 : Dustin Wolf, #2 : Devin Cooley
Custom OT Lines Forwards
Mikael Backlund, Blake Coleman, Jonathan Huberdeau, Ryan Hartman, Andrew Mangiapane, Andrei Kuzmenko, Andrei Kuzmenko, Martin Pospisil, Kevin Rooney, Milan Lucic, Walker Duehr
Custom OT Lines Defensemen
MacKenzie Weegar, Rasmus Andersson, Dougie Hamilton, Juuso Valimaki, Daniil Miromanov


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
1Boston2020000068-21010000034-11010000034-100.0006111700141051172014065162447400.00%12466.67%050597152.01%552104852.67%25953848.14%453048142613
2Buffalo1010000023-1000000000001010000023-100.000235002000281012601538149111.11%4175.00%050597152.01%552104852.67%25953848.14%2517227126
3Carolina1010000026-41010000026-40000000000000.00024600110019883031144152150.00%2150.00%050597152.01%552104852.67%25953848.14%2114257136
4Chicago21100000431211000004310000000000020.50048120002203071211063102348100.00%7185.71%050597152.01%552104852.67%25953848.14%422649162813
5Columbus211000007521010000012-11100000063320.50071320004210632220210541517461218.33%6183.33%050597152.01%552104852.67%25953848.14%453047152613
6Dallas11000000211000000000001100000021121.0002240011002561090231112143133.33%6183.33%050597152.01%552104852.67%25953848.14%2315247125
7Detroit1010000002-2000000000001010000002-200.00000000000028104140254822400.00%4175.00%050597152.01%552104852.67%25953848.14%2316237136
8Edmonton2110000045-1110000003211010000013-220.500481200211060321990481228247114.29%130100.00%050597152.01%552104852.67%25953848.14%463049152410
9Florida1010000014-31010000014-30000000000000.0001120001002076702810818600.00%4175.00%050597152.01%552104852.67%25953848.14%2316228136
10Las Vegas1010000003-3000000000001010000003-300.0000000000001897203481016300.00%5260.00%050597152.01%552104852.67%25953848.14%2214247136
11Los Angeles10001000431100010004310000000000021.000471100030125109421768164250.00%4175.00%050597152.01%552104852.67%25953848.14%2619207146
12Minnesota1010000046-21010000046-20000000000000.00046100001302961211035618204125.00%8275.00%050597152.01%552104852.67%25953848.14%2013277125
13Montreal1010000045-1000000000001010000045-100.0004711002020341381302168218337.50%4175.00%050597152.01%552104852.67%25953848.14%2316237126
14NY Isles11000000312110000003120000000000021.0003690002101911080211010286116.67%50100.00%050597152.01%552104852.67%25953848.14%1912258147
15NY Rangers1010000024-21010000024-20000000000000.000246100200219570229811200.00%4175.00%050597152.01%552104852.67%25953848.14%2114267115
16Nashville21001000404100010001011100000030341.000481202021138711173442226365120.00%120100.00%050597152.01%552104852.67%25953848.14%402658152311
17New Jersey1010000015-41010000015-40000000000000.00012300010013346033131412500.00%6350.00%050597152.01%552104852.67%25953848.14%2214257126
18Ottawa210000101275110000007341000001054141.000122234005242571615246461383312758.33%4175.00%050597152.01%552104852.67%25953848.14%503546142713
19Philadelphia11000000312110000003120000000000021.000369001110156450301189200.00%40100.00%050597152.01%552104852.67%25953848.14%2013267125
20Pittsburgh2010100045-1100010002111010000024-220.5004812001111572913132562024378225.00%11281.82%050597152.01%552104852.67%25953848.14%473348152411
21Seattle11000000211000000000001100000021121.000246000110204106020414195120.00%70100.00%050597152.01%552104852.67%25953848.14%2113238147
22St-Louis11000000303110000003030000000000021.000347011110219480236621300.00%30100.00%050597152.01%552104852.67%25953848.14%2114257126
23Tampa Bay11000000321110000003210000000000021.00036900201023671002754266233.33%10100.00%050597152.01%552104852.67%25953848.14%2518226126
24Utah1010000024-2000000000001010000024-200.000246000200184122031101017400.00%4175.00%050597152.01%552104852.67%25953848.14%2214267116
25Vancouver2110000067-1000000000002110000067-120.5006101600123048717240501818388225.00%6266.67%050597152.01%552104852.67%25953848.14%432851152512
26Winnipeg1010000024-21010000024-20000000000000.00024600101018963029111215300.00%40100.00%050597152.01%552104852.67%25953848.14%2214247126
Total341218030108795-81979030004951-21559000103844-6320.47187158245132533255798267265257138912733386231362719.85%1502782.00%050597152.01%552104852.67%25953848.14%769516842258438213
_Since Last GM Reset341218030108795-81979030004951-21559000103844-6320.47187158245132533255798267265257138912733386231362719.85%1502782.00%050597152.01%552104852.67%25953848.14%769516842258438213
_Vs Conference167702000373708330200021183844000001619-3180.563376510203616132350110129106541712418528450918.00%791087.34%050597152.01%552104852.67%25953848.14%35123340712320599
_Vs Division733010001619-32100100075252300000914-580.5711629450037511716262452169487811327622.22%35585.71%050597152.01%552104852.67%25953848.14%159106170549143

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3432W28715824579889127333862313
All Games
GPWLOTWOTL SOWSOLGFGA
34121830108795
Home Games
GPWLOTWOTL SOWSOLGFGA
197930004951
Visitor Games
GPWLOTWOTL SOWSOLGFGA
155900103844
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1362719.85%1502782.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
267265257132533255
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
50597152.01%552104852.67%25953848.14%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
769516842258438213


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
29Calgary3Vancouver5LBoxScore
435Philadelphia1Calgary3WBoxScore
540Calgary1Edmonton3LBoxScore
655Chicago2Calgary1LBoxScore
887Calgary2Seattle1WBoxScore
10102Pittsburgh1Calgary2WXBoxScore
11114Carolina6Calgary2LBoxScore
12129Winnipeg4Calgary2LBoxScore
14147Calgary0Las Vegas3LBoxScore
15158Calgary2Utah4LBoxScore
16173New Jersey5Calgary1LBoxScore
18190Edmonton2Calgary3WBoxScore
19196Calgary4Montreal5LBoxScore
20208Calgary3Boston4LBoxScore
21224Calgary2Buffalo3LBoxScore
24242Los Angeles3Calgary4WXBoxScore
25250Calgary3Vancouver2WBoxScore
26269Nashville0Calgary1WXBoxScore
29299NY Isles1Calgary3WBoxScore
31314NY Rangers4Calgary2LBoxScore
32319Minnesota6Calgary4LBoxScore
33340Calgary5Ottawa4WXXBoxScore
34350Calgary0Detroit2LBoxScore
36368Calgary6Columbus3WBoxScore
37380Calgary2Pittsburgh4LBoxScore
39404Columbus2Calgary1LBoxScore
41417St-Louis0Calgary3WBoxScore
43442Calgary2Dallas1WBoxScore
44451Calgary3Nashville0WBoxScore
46470Tampa Bay2Calgary3WBoxScore
47485Florida4Calgary1LBoxScore
49504Boston4Calgary3LBoxScore
50517Ottawa3Calgary7WBoxScore
51529Chicago1Calgary3WBoxScore
55576Calgary-San Jose-
56584Calgary-Las Vegas-
57600Vancouver-Calgary-
58611Utah-Calgary-
60627Nashville-Calgary-
62648Calgary-Anaheim-
63653Calgary-Los Angeles-
65681Los Angeles-Calgary-
66690Calgary-Chicago-
67700Calgary-St-Louis-
68713Calgary-St-Louis-
69730Calgary-Winnipeg-
72767Buffalo-Calgary-
74784Calgary-Minnesota-
75791Calgary-Winnipeg-
76804Washington-Calgary-
77818Anaheim-Calgary-
78834Detroit-Calgary-
79843Calgary-Seattle-
80853Toronto-Calgary-
81868Colorado-Calgary-
83887Seattle-Calgary-
85914San Jose-Calgary-
86923Calgary-Washington-
87936Calgary-Tampa Bay-
89951Calgary-Florida-
90963Calgary-Carolina-
92977Calgary-Philadelphia-
93994Calgary-Dallas-
941008Montreal-Calgary-
Trade Deadline --- Trades can’t be done after this day is simulated!
981037Vancouver-Calgary-
991052Colorado-Calgary-
1011076Calgary-Toronto-
1021079Calgary-NY Rangers-
1031090Calgary-New Jersey-
1041108Calgary-NY Isles-
1061137Seattle-Calgary-
1071150Dallas-Calgary-
1091167Calgary-Edmonton-
1101180Calgary-Colorado-
1111188Calgary-Utah-
1121203Anaheim-Calgary-
1131220Las Vegas-Calgary-
1141234Calgary-San Jose-
1161249Calgary-Anaheim-
1171264Minnesota-Calgary-
1191283San Jose-Calgary-
1201299Las Vegas-Calgary-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity50005000200040000
Ticket Price154926242300
Attendance94,64594,64738,00075,9470
Attendance PCT99.63%99.63%100.00%99.93%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
22 15960 - 99.75% 1,213,837$23,062,903$16000104

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
24,013,444$ 54,689,166$ 29,289,166$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
448,272$ 24,013,444$ 0$ 25 2

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
26,704,414$ 69 448,272$ 30,930,768$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
31,317,858$ 24,642,548$ 20,029,104$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
54,944,212$ 10,055,788$ 65,000,000$ 9,944,212$



Depth Chart

Left WingCenterRight Wing
Jonathan HuberdeauAGE:31PO:0OV:75
Andrew MangiapaneAGE:28PO:0OV:73
Andrei KuzmenkoAGE:28PO:0OV:72
Milan LucicAGE:36PO:0OV:63
Matt Coronato (R)AGE:21PO:0OV:63
Jakob Pelletier (R)AGE:23PO:0OV:61
Elias LindholmAGE:29PO:0OV:78
Mikael BacklundAGE:35PO:0OV:78
Matthew Poitras (R)AGE:20PO:0OV:64
Kevin RooneyAGE:31PO:0OV:64
Cole Schwindt (R)AGE:23PO:0OV:58
Glenn GawdinAGE:27PO:0OV:57
Blake ColemanAGE:32PO:0OV:77
Ryan HartmanAGE:29PO:0OV:74
Martin Pospisil (R)AGE:24PO:0OV:66
Walker DuehrAGE:26PO:0OV:63
Josh Doan (R)AGE:22PO:0OV:60
Matthew PhillipsAGE:26PO:0OV:57
Adam Klapka (R)AGE:23PO:0OV:56

Defense #1Defense #2Goalie
MacKenzie WeegarAGE:30PO:0OV:80
Rasmus AnderssonAGE:27PO:0OV:76
Dougie HamiltonAGE:31PO:0OV:74
Juuso ValimakiAGE:25PO:0OV:70
Daniil MiromanovAGE:26PO:0OV:66
Oliver KylingtonAGE:27PO:0OV:65
Dennis GilbertAGE:27PO:0OV:65
Jordan OesterleAGE:32PO:0OV:63
Nick DeSimoneAGE:29PO:0OV:63
Robert HaggAGE:29PO:0OV:62
Ilya Solovyov (R)AGE:23PO:0OV:61
Connor MackeyAGE:27PO:0OV:61
Yan Kuznetsov (R)AGE:22PO:0OV:59
Dan VladarAGE:26PO:0OV:68
Dustin Wolf (R)AGE:23PO:0OV:65
Devin CooleyAGE:27PO:0OV:63

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Aku KoskenvuoCalgary2021134
Andrew BashaCalgary202441
Artem GrushnikovCalgary2021592024-03-09
Aydar SunievCalgary202375
Blake BiondiCalgary2020121
Chase PietilaCalgary2024137
Cole HuckinsCalgary202168
Daniil ChechelevCalgary202094
Demetrios KoumontzisCalgary2018117
Etienne MorinCalgary202343
Hunter BrzustewiczCalgary2023622024-07-15
Ilya NikolaevCalgary201981
Jack BeckCalgary2021132
Jacob BattagliaCalgary202458
Jaden LipinskiCalgary2023107
Jake BoltmannCalgary202063
Joshua NodlerCalgary2019143
Kirill ZarubinCalgary2024652024-07-30
Lucas FeukCalgary2019112
Luke MisaCalgary2024105
Matthew PerkinsCalgary2023139
Matvei GridinCalgary202432
Milos RomanCalgary2018105
Ozzy WiesblattCalgary202032
Ryan FrancisCalgary2020125
Samuel HonzekCalgary202317
Topi RonniCalgary202260
Trevor HoskinCalgary202498
William StromgrenCalgary202136
Zayne ParekhCalgary20249

Draft Picks

Year R1R2R3R4R5
2025
2026
2027
2028
2029
Conditional Draft Picks



No News Found in News Database. Please create a news.


Calgary Trade History







Dan Vladar is out for 2 months because of a Sprained Right Knee Injury.
Matthew Poitras is out for 2 weeks because of a Right Hand Injury.
Oliver Kylington is out for 1 month because of a Sprained Left Knee Injury.



Calgary Players 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
1Elias Lindholm1797090160164010147058411.99%35390121.791525401003251912757.39%20.82311
2Jonathan Huberdeau19657102159244016425552310.90%26378919.33142842102123188352.51%00.8426
3Ryan Hartman19854781321816634020648311.18%24355317.9592130114112910348.39%00.7412
4Mikael Backlund18942811231821353994429.50%50357118.90123042103112139155.53%00.6939
5Andrew Mangiapane1934362105-17381491844709.15%25300615.581019297901145347.27%00.7001

Calgary Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mackenzie Blackwood57302310.8922.8830810114813730110.6258
2Dan Vladar65262570.8912.74348110315914550010.69213
3Jon Gillies47172010.8932.9922254111110390121.0002
4Dustin Wolf2612910.8962.73147402676450100.90010
5Aaron Dell205410.9142.2275602283250000.8005

Calgary 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
202282353902321232249-1741171801221108113-541182101100124136-1282232422654228390556203170167364127219363582914252995518.39%3496182.52%61313248252.90%1326255551.90%700130953.48%1949134119556031039518
202382283803643195227-32411517023319598-341132101312100129-29791953455402579585111215673666272851215464072014643194313.48%3285383.84%21436262454.73%1363247055.18%638120752.86%1997138219406021036517
2024341218030108795-81979030004951-21559000103844-63287158245132533255798267265257138912733386231362719.85%1502782.00%050597152.01%552104852.67%25953848.14%769516842258438213
Total Regular Season198759508974514571-57101394406552252262-1097365102422262309-47193514925143951018718113122498517041600162691523815481887351275412516.58%82714182.95%83254607753.55%3241607353.37%1597305452.29%471532404738146425131249
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Calgary Players 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

Calgary Goalies Stat Leaders (Play-Off)

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