Login

Heat
GP: 82 | W: 43 | L: 35 | OTL: 4 | P: 90
GF: 233 | GA: 223 | PP%: 43.77% | PK%: 63.64%
GM : Philippe Dore | Morale : 50 | Team Overall : 57
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Rambo
49-23-10, 108pts
4
FINAL
1 Heat
43-35-4, 90pts
Team Stats
L1StreakL3
27-10-4Home Record24-13-4
22-13-6Away Record19-22-0
9-1-0Last 10 Games5-5-0
3.21Goals Per Game2.84
2.61Goals Against Per Game2.72
37.05%Power Play Percentage43.77%
61.03%Penalty Kill Percentage63.64%
Heat
43-35-4, 90pts
2
FINAL
4 Pantheres
48-22-12, 108pts
Team Stats
L3StreakW2
24-13-4Home Record28-9-4
19-22-0Away Record20-13-8
5-5-0Last 10 Games7-2-1
2.84Goals Per Game3.11
2.72Goals Against Per Game2.45
43.77%Power Play Percentage41.72%
63.64%Penalty Kill Percentage67.61%
Team Leaders
Goals
Alexandre Texier
19
Assists
Alexandre Texier
28
Points
Alexandre Texier
47
Plus/Minus
Alexandre Texier
-12
Alex StalockWins
Alex Stalock
36
Save Percentage
Arvid Soderblom
0.921

Team Stats
Goals For
233
2.84 GFG
Shots For
2089
25.48 Avg
Power Play Percentage
43.8%
144 GF
Offensive Zone Start
34.3%
Goals Against
223
2.72 GAA
Shots Against
2618
31.93 Avg
Penalty Kill Percentage
63.6%
104 GA
Defensive Zone Start
39.8%
Team Info

General ManagerPhilippe Dore
CoachPatrick Roy
DivisionOuest
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,649
Season Tickets300


Roster Info

Pro Team33
Farm Team18
Contract Limit51 / 75
Prospects34


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 Average
1Connor McMichael (R)X100.00683392865369825155474857484559050612211800,000$
2Nikita GusevX100.005332958862625052454550566172700466103021,999,999$
3Boris Katchouk (R)X100.00853884825967714548464667475468044600242750,000$
4Jaret Anderson-DolanX100.00683495815563434853465061505163050590231750,000$
5Logan Brown (R)X100.00643494825863474751474656535463050580241950,000$
6Michael Dal ColleX100.00663395844761444648464960496067050580264600,000$
7Jack Drury (R)X100.00613595866956254148454659464859050550223750,000$
8Lukas Reichel (R)X100.00603495876058254147454563464257048550203850,000$
9Nolan Foote (R)X100.00613395845356254247454666474860050550221800,000$
10Pavel Dorofeyev (R)X100.00603595887155254047454558464859050540222700,000$
11Ethan BearX100.006933888458747955484940615060660416502511,900,000$
12Shea WeberX100.00613491816267575652433864509682050642371600,000$
13Cam Dineen (R)X100.00643194845561414948473761385763050590242700,000$
14Jordan Spence (R)X100.00653095855259294847463858444859050580213675,000$
15Johnny BoychukX100.00553195796057424752433355509980050570382600,000$
16Roman PolakX100.00553294776155354651433356509378050570361600,000$
17Connor CarrickX100.00553394835355324749433556506966050560281900,000$
18Matt Kiersted (R)X100.00613195855853254348453855395762050550241750,000$
Scratches
1Dominik SimonX100.007134898457697950504849654966720506302831,250,000$
2Richard PanikX100.00703393825464565050475064507576050620312600,000$
3Reid BoucherX100.00453095825050254540404854496966050540294600,000$
4Martin Kaut (R)X100.00633395845456254047454557465161050540233750,000$
5Ben McCartney (R)X100.00613295854456254047454565464559050540212600,000$
6David Gustafsson (R)X100.00603695837455254047454561464859050540223950,000$
7Nikita ScherbakX100.00453095845050254540404854496363050540271675,000$
8Matt PuempelX100.004530958250502545404048544969660505402921,000,000$
9Joshua Ho-SangX100.00453095875050254540404854496061050540264600,000$
10Josh Dunne (R)X100.00603190824754243845434362445462050520241750,000$
11Sean Malone (R)X100.00573090824052243946434356446365050520273750,000$
TEAM AVERAGE100.0060339384565939464745445948616504957
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Alex Stalock100.0065416768767673697345589371050610
2Arvid Soderblom (R)100.0059336871747270677045574547050570
Scratches
1Justus Annunen (R)100.0059328079727271666944574145050570
2Michael Dipietro (R)100.0059316974737270667043574547050560
TEAM AVERAGE100.006134717374737167714457565305058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Patrick Roy64737178767868CAN5731,000,000$


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
1Nikita GusevHeat (CGY)LW80414990516075922939617213.99%34144518.06283462542020005848550.53%9510143011.25140003612
2Connor McMichaelHeat (CGY)C8129568503401201472266815312.83%45163420.181839574117800051175155.24%14997277001.0416000943
3Dominik SimonHeat (CGY)RW64283361-7660121932127812613.21%39156524.461823413216001141396255.49%1829379030.7828000472
4Richard PanikHeat (CGY)RW75312556-11300129115218679914.22%31156720.9023153833150011111141360.56%1429370000.7138000545
5Alexandre TexierFlamesC41192847-12320791041494410212.75%39101624.791021311910200011023249.34%10546462000.9205000636
6Boris KatchoukHeat (CGY)LW80201939-1591516371179429411.17%35143017.88131326221540002322038.89%545562000.5501000124
7Shea WeberHeat (CGY)D81727340560611277538469.33%110199424.6261824102360001210210.00%019133000.3400000021
8Jaret Anderson-DolanHeat (CGY)C80122234-1216091109113558510.62%37119414.93612187810001241356.73%7286154000.5700000123
9Ethan BearHeat (CGY)D7592029-68751151019439349.57%98191525.5481523152250002189210.00%035129000.3000000032
10Logan BrownHeat (CGY)C8251116-14200697910027555.00%1998512.021233151014462154.60%3484740000.3212000120
11Jordan SpenceHeat (CGY)D8231215-2718047804715146.38%64155819.01391251460000150110.00%01680000.1900000100
12Michael Dal ColleHeat (CGY)LW826612-17100657110333635.83%27103512.631232151017591166.67%635246000.2300000020
13Cam DineenHeat (CGY)D722911-1822047734814174.17%81140519.5324631400000143110.00%0992000.1600000001
14Jack DruryHeat (CGY)C59246-414038453714265.41%115579.45000060000340053.76%1733129000.2200000001
15Pavel DorofeyevHeat (CGY)RW7145-100413215114.76%513118.71044112000000066.67%622000.7600000011
16Nikita ScherbakHeat (CGY)RW14505020862551420.00%820714.83404417000001130.77%13115000.4800000011
17Nolan FooteHeat (CGY)LW64145-84031443515382.86%295809.07112115000060060.00%202124000.1700000001
18Johnny BoychukHeat (CGY)D82134-71152648148107.14%39105912.92101126000023000.00%0564000.0800100000
19Roman PolakHeat (CGY)D821344200264423664.35%3999412.13000010000057000.00%2543000.0800000000
20Lukas ReichelHeat (CGY)LW401120202130267203.85%93669.16000010000120053.85%131214000.1100000000
21Martin KautHeat (CGY)RW5011-320756030.00%38717.5300009000000050.00%434000.2300000000
22Connor CarrickHeat (CGY)D82000-1180144114590.00%316978.510000100000310080.00%5237000.0011000000
23Ben McCartneyHeat (CGY)LW2000000001010.00%073.73000000001100100.00%100000.0000000000
24Matt KierstedHeat (CGY)D72000-44010116120.00%94215.860000200004000.00%1017000.0001000000
25David GustafssonHeat (CGY)C3000000010000.00%093.080000000001000.00%100000.0000000000
Team Total or Average1487224337561-16856515136715502065682120010.85%8422387116.051432123552531923224441590362353.95%44048091206040.47936100313943
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
1Alex StalockHeat (CGY)71363140.9162.6342484218622231132530.818337111774
2Arvid SoderblomHeat (CGY)137400.9212.597170031392227201.00021171211
Team Total or Average84433540.9172.6249664221726151359730.829358282985


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
Alex StalockHeat (CGY)G351987-01-01No170 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Arvid SoderblomHeat (CGY)G231999-01-01Yes180 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Ben McCartneyHeat (CGY)LW212001-01-01Yes182 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
Boris KatchoukHeat (CGY)LW241998-01-01Yes206 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Cam DineenHeat (CGY)D241998-01-01Yes188 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$
Connor CarrickHeat (CGY)D281994-01-01No192 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoNHL Link
Connor McMichaelHeat (CGY)C212001-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
David GustafssonHeat (CGY)C222000-01-01Yes196 Lbs6 ft2NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
Dominik SimonHeat (CGY)RW281994-01-01No190 Lbs5 ft11NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$NHL Link
Ethan BearHeat (CGY)D251997-01-01No197 Lbs5 ft11NoNoNo1Pro & Farm1,900,000$0$0$NoNHL Link
Jack DruryHeat (CGY)C222000-01-01Yes174 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Jaret Anderson-DolanHeat (CGY)C231999-01-01No200 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
Johnny BoychukHeat (CGY)D381984-01-01No227 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Jordan SpenceHeat (CGY)D212001-01-01Yes180 Lbs5 ft10NoNoNo3Pro & Farm675,000$0$0$No675,000$675,000$
Josh DunneHeat (CGY)C241998-01-01Yes210 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$No
Joshua Ho-SangHeat (CGY)RW261996-01-01No173 Lbs6 ft0NoNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$NHL Link
Justus AnnunenHeat (CGY)G222000-01-01Yes210 Lbs6 ft4NoNoNo2Pro & Farm700,000$0$0$No700,000$
Logan BrownHeat (CGY)C241998-01-01Yes218 Lbs6 ft6NoNoNo1Pro & Farm950,000$0$0$NoNHL Link
Lukas ReichelHeat (CGY)LW202002-01-01Yes170 Lbs6 ft0NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$
Martin KautHeat (CGY)RW231999-01-01Yes190 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Matt KierstedHeat (CGY)D241998-01-01Yes181 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Matt PuempelHeat (CGY)LW291993-01-01No205 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Michael Dal ColleHeat (CGY)LW261996-01-01No195 Lbs6 ft3NoNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$NHL Link
Michael DipietroHeat (CGY)G231999-01-01Yes200 Lbs6 ft0NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
Nikita GusevHeat (CGY)LW301992-01-01No163 Lbs5 ft9NoNoNo2Pro & Farm1,999,999$0$0$No1,999,999$
Nikita ScherbakHeat (CGY)RW271995-01-01No192 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$No
Nolan FooteHeat (CGY)LW222000-01-01Yes196 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Pavel DorofeyevHeat (CGY)RW222000-01-01Yes167 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Reid BoucherHeat (CGY)C291993-01-01No195 Lbs5 ft10NoNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$NHL Link
Richard PanikHeat (CGY)RW311991-01-01No203 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Roman PolakHeat (CGY)D361986-01-01No240 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoNHL Link
Sean MaloneHeat (CGY)C271995-01-01Yes197 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Shea WeberHeat (CGY)D371985-01-01No229 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3325.97194 Lbs6 ft12.12824,242$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita GusevConnor McMichael40122
2Boris KatchoukJaret Anderson-DolanPavel Dorofeyev30122
3Michael Dal ColleLogan Brown20122
4Lukas ReichelJack DruryConnor McMichael10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearShea Weber40122
2Cam DineenJordan Spence30122
3Johnny BoychukRoman Polak20122
4Connor CarrickMatt Kiersted10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita GusevConnor McMichael60122
2Boris KatchoukJaret Anderson-DolanPavel Dorofeyev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearShea Weber60122
2Cam DineenJordan Spence40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Connor McMichael60122
2Nikita GusevBoris Katchouk40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearShea Weber60122
2Cam DineenJordan Spence40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Ethan BearShea Weber60122
2Connor McMichael40122Cam DineenJordan Spence40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Connor McMichael60122
2Nikita GusevBoris Katchouk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearShea Weber60122
2Cam DineenJordan Spence40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikita GusevConnor McMichaelEthan BearShea Weber
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikita GusevConnor McMichaelEthan BearShea Weber
Extra Forwards
Normal PowerPlayPenalty Kill
Nolan Foote, Logan Brown, Michael Dal ColleNolan Foote, Logan BrownMichael Dal Colle
Extra Defensemen
Normal PowerPlayPenalty Kill
Johnny Boychuk, Roman Polak, Connor CarrickJohnny BoychukRoman Polak, Connor Carrick
Penalty Shots
, Connor McMichael, Nikita Gusev, Boris Katchouk, Jaret Anderson-Dolan
Goalie
#1 : Alex Stalock, #2 : Arvid Soderblom


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
13L31100010954201000105501100000040440.667912210128951001499417841807599328285410440.00%14378.57%0820155652.70%965180953.34%622117552.94%161480118097451547829
2Armada523000001314-13210000012752020000017-640.400132033002895100141084178418075916049347722836.36%17758.82%0820155652.70%965180953.34%622117552.94%161480118097451547829
3Barons20200000310-71010000023-11010000017-600.000358002895100145141784180759772716325240.00%8712.50%0820155652.70%965180953.34%622117552.94%161480118097451547829
4Chops330000001486220000009541100000053261.00014213500289510014754178418075972302046161275.00%10460.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
5Comets 503010011121-1030101001710-320200000411-730.300111930002895100141474178418075919550368315746.67%181138.89%0820155652.70%965180953.34%622117552.94%161480118097451547829
6Draveurs22000000835110000002111100000062441.00081119002895100146541784180759512210329333.33%5180.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
7Griffins2020000014-31010000012-11010000002-200.000123002895100143341784180759682112339111.11%6350.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
8IceHogs310010101156100010003212100001083561.0001113240028951001478417841807599213165311545.45%80100.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
9Jarrets Noirs522000102116521100000743311000101412260.6002130510028951001414541784180759161545098261350.00%25964.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
10Monarchs541000002211113300000015692110000075280.800223153002895100141154178418075912044228022836.36%100100.00%1820155652.70%965180953.34%622117552.94%161480118097451547829
11Monster31200000981110000006152020000037-420.3339152400289510014794178418075910946125612650.00%6266.67%0820155652.70%965180953.34%622117552.94%161480118097451547829
12Mosquitos33000000226161100000092722000000134961.00022305200289510014684178418075967221650302066.67%8362.50%0820155652.70%965180953.34%622117552.94%161480118097451547829
13National3110000168-2210000015501010000013-230.5006101600289510014534178418075910022254611327.27%12375.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
14Pantheres2110000056-1110000003211010000024-220.50051015002895100144841784180759732620337457.14%10460.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
15Phantoms 31100010853110000005232010001033040.667891700289510014674178418075910623185113646.15%9455.56%0820155652.70%965180953.34%622117552.94%161480118097451547829
16Rambo62300100915-62010010037-44220000068-250.417915241028951001416341784180759200743412021523.81%18383.33%0820155652.70%965180953.34%622117552.94%161480118097451547829
17Rapido2010001035-21010000014-31000001021120.5003360028951001442417841807594698393133.33%4250.00%1820155652.70%965180953.34%622117552.94%161480118097451547829
18Red Bull3110000157-22010000125-31100000032130.500571200289510014704178418075911140205511327.27%10550.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
19Rocket40400000514-92020000026-42020000038-500.000591420289510014844178418075912538446910330.00%22863.64%0820155652.70%965180953.34%622117552.94%161480118097451547829
20Sea Dogs2110000056-1110000004221010000014-320.5005712002895100144341784180759542116324125.00%8187.50%0820155652.70%965180953.34%622117552.94%161480118097451547829
21Silver Knights532000001618-233000000116520200000512-760.6001621370028951001414041784180759192596786171270.59%271351.85%0820155652.70%965180953.34%622117552.94%161480118097451547829
22Spartans2010100045-11010000002-21000100043120.5004711002895100144541784180759582012438225.00%5260.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
23Thunderbirds3210000089-1220000005321010000036-340.667812200128951001485417841807599331204313538.46%10370.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
24Trashers42200000910-11010000024-23210000076140.50091423002895100141304178418075913349276214642.86%11554.55%0820155652.70%965180953.34%622117552.94%161480118097451547829
25Wolf Pack20002000642100010004311000100021141.000610160028951001456417841807596233103210440.00%5180.00%0820155652.70%965180953.34%622117552.94%161480118097451547829
Total823335051532332231041201303113125992641132202040108124-16900.549233343576322895100142089417841807592618851593140532914443.77%28610463.64%2820155652.70%965180953.34%622117552.94%161480118097451547829
_Since Last GM Reset823335051532332231041201303113125992641132202040108124-16900.549233343576322895100142089417841807592618851593140532914443.77%28610463.64%2820155652.70%965180953.34%622117552.94%161480118097451547829
_Vs Conference3714190102193108-15201170100157461117312000203662-26350.47393138231212895100148934178418075912183892896221366245.59%1385857.97%1820155652.70%965180953.34%622117552.94%161480118097451547829
_Vs Division3176010119295-31652010015540151524000103755-18190.30692136228102895100148184178418075910283302435441235343.09%1154362.61%1820155652.70%965180953.34%622117552.94%161480118097451547829

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8290L323334357620892618851593140532
All Games
GPWLOTWOTL SOWSOLGFGA
8233355153233223
Home Games
GPWLOTWOTL SOWSOLGFGA
412013311312599
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4113222040108124
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
32914443.77%28610463.64%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
41784180759289510014
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
820155652.70%965180953.34%622117552.94%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
161480118097451547829


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2022-10-0613Comets 4Heat 3LXXBoxScore
3 - 2022-10-0728Heat 6Jarrets Noirs5WXXBoxScore
4 - 2022-10-0836Heat 2Rambo1WBoxScore
5 - 2022-10-0947Silver Knights1Heat 2WBoxScore
7 - 2022-10-1164Armada4Heat 2LBoxScore
9 - 2022-10-1377Heat 2Trashers1WBoxScore
10 - 2022-10-1485Heat 1Rambo3LBoxScore
11 - 2022-10-1598Monarchs1Heat 4WBoxScore
12 - 2022-10-16116Rocket3Heat 1LBoxScore
13 - 2022-10-17125Heat 3Jarrets Noirs5LBoxScore
15 - 2022-10-19141Jarrets Noirs3Heat 2LBoxScore
16 - 2022-10-20152Red Bull2Heat 1LXXBoxScore
19 - 2022-10-23169Heat 5IceHogs1WBoxScore
20 - 2022-10-24183Chops2Heat 3WBoxScore
21 - 2022-10-25190Heat 1Rambo3LBoxScore
23 - 2022-10-27210Silver Knights2Heat 4WBoxScore
24 - 2022-10-28220Heat 1Monster3LBoxScore
26 - 2022-10-30232Heat 5Chops3WBoxScore
27 - 2022-10-31244Rapido4Heat 1LBoxScore
28 - 2022-11-01256Heat 43L0WBoxScore
30 - 2022-11-03268Heat 3Thunderbirds6LBoxScore
31 - 2022-11-04279Monster1Heat 6WBoxScore
33 - 2022-11-06295Thunderbirds3Heat 4WBoxScore
35 - 2022-11-08314Draveurs1Heat 2WBoxScore
37 - 2022-11-10329Heat 2Rapido1WXXBoxScore
38 - 2022-11-11342Barons3Heat 2LBoxScore
39 - 2022-11-12357Heat 0Armada5LBoxScore
40 - 2022-11-13367Wolf Pack3Heat 4WXBoxScore
41 - 2022-11-14380Heat 3IceHogs2WXXBoxScore
42 - 2022-11-15387Heat 0Griffins2LBoxScore
44 - 2022-11-17401Sea Dogs2Heat 4WBoxScore
45 - 2022-11-18421Monarchs4Heat 7WBoxScore
46 - 2022-11-19433Heat 1Sea Dogs4LBoxScore
48 - 2022-11-21442Heat 2Rambo1WBoxScore
49 - 2022-11-22453Pantheres2Heat 3WBoxScore
51 - 2022-11-24469Heat 5Jarrets Noirs2WBoxScore
52 - 2022-11-25479Trashers4Heat 2LBoxScore
54 - 2022-11-27497Rocket3Heat 1LBoxScore
55 - 2022-11-28501Heat 4Spartans3WXBoxScore
58 - 2022-12-01524Heat 3Trashers1WBoxScore
59 - 2022-12-02532Silver Knights3Heat 5WBoxScore
61 - 2022-12-04549Griffins2Heat 1LBoxScore
62 - 2022-12-05562Heat 2Wolf Pack1WXBoxScore
64 - 2022-12-075753L2Heat 3WXXBoxScore
65 - 2022-12-08588Heat 1National3LBoxScore
66 - 2022-12-09601Chops3Heat 6WBoxScore
67 - 2022-12-10606Heat 2Comets 5LBoxScore
69 - 2022-12-126273L3Heat 2LBoxScore
70 - 2022-12-13640Heat 2Monarchs4LBoxScore
71 - 2022-12-14650Red Bull3Heat 1LBoxScore
73 - 2022-12-16662Heat 2Trashers4LBoxScore
75 - 2022-12-18680Comets 2Heat 3WXBoxScore
76 - 2022-12-19693Heat 2Silver Knights5LBoxScore
77 - 2022-12-20697Heat 1Armada2LBoxScore
78 - 2022-12-21713Phantoms 2Heat 5WBoxScore
80 - 2022-12-23732Comets 4Heat 1LBoxScore
82 - 2022-12-25739Heat 1Barons7LBoxScore
83 - 2022-12-26753Heat 8Mosquitos2WBoxScore
84 - 2022-12-27763Heat 2Comets 6LBoxScore
85 - 2022-12-28775Thunderbirds0Heat 1WBoxScore
87 - 2022-12-30792Monarchs1Heat 4WBoxScore
89 - 2023-01-01806Heat 3Rocket5LBoxScore
90 - 2023-01-02818Jarrets Noirs1Heat 5WBoxScore
91 - 2023-01-03830Heat 5Mosquitos2WBoxScore
92 - 2023-01-04844IceHogs2Heat 3WXBoxScore
94 - 2023-01-06860National1Heat 2WBoxScore
95 - 2023-01-07868Heat 3Red Bull2WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
97 - 2023-01-09886National4Heat 3LXXBoxScore
99 - 2023-01-11898Heat 2Monster4LBoxScore
100 - 2023-01-12908Heat 0Rocket3LBoxScore
102 - 2023-01-14923Rambo3Heat 2LXBoxScore
104 - 2023-01-16940Armada1Heat 3WBoxScore
105 - 2023-01-17952Heat 5Monarchs1WBoxScore
106 - 2023-01-18959Heat 3Phantoms 2WXXBoxScore
108 - 2023-01-20972Heat 3Silver Knights7LBoxScore
110 - 2023-01-22982Armada2Heat 7WBoxScore
111 - 2023-01-23997Mosquitos2Heat 9WBoxScore
112 - 2023-01-241003Heat 0Phantoms 1LBoxScore
113 - 2023-01-251017Heat 6Draveurs2WBoxScore
115 - 2023-01-271033Spartans2Heat 0LBoxScore
118 - 2023-01-301046Rambo4Heat 1LBoxScore
119 - 2023-01-311053Heat 2Pantheres4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4030
Attendance77,65230,940
Attendance PCT94.70%75.46%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-40 2649 - 88.29% 98,546$4,040,386$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,796,266$ 2,720,000$ 2,720,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
22,479$ 2,789,572$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-3,941,840$ 0 22,479$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT