´╗┐

Heat

GP: 12 | W: 7 | L: 5 | OTL: 0 | P: 14
GF: 37 | GA: 33 | PP%: 33.33% | PK%: 86.49%
GM : Dave Williams | Morale : 50 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Scott LaughtonX100.008157847567598762826162732562636750640
2Mark JankowskiX100.006552867572658862826075662553537050640
3Joshua Ho-SangX100.005740968164676373368259572547476650630
4Dylan Strome (R)X100.006141887371647170766971562547476850620
5Trent Frederic (R)X100.008280866580535162785763686044446450590
6Brandon BolligX100.007581616581677151504156615344445750550
7Branden TroockX100.008280856180555653505151654844445850550
8Klim Kostin (R)XXX100.007374706574586054505747614544445650550
9Alex Schoenborn (R)X100.007472786272626648504545604344445350530
10Brayden McNabbX100.009561808079808060255149902566676650720
11Andrej SustrX100.005942877786617962255048722566696050650
12Dillon HeatheringtonX100.008178896578707550254441643944445550590
13Oliver KylingtonX100.007467917267717654255242624044445650590
14Sergei Boikov (R)X100.007273706473738048255041593944445350580
Scratches
TEAM AVERAGE100.00746482707565725849555465375050615060
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
1Jacob Markstrom100.00827371848382657882824261617850740
2Thatcher Demko100.00667493816669597064633044446650650
Scratches
TEAM AVERAGE100.0074748283757662747373365353725070
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 NamePOS GP 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
1Brayden McNabbHeat (CGY)D12971611915201262311914.52%933427.917291329000431100.00%0222000.9600111620
2Dylan StromeHeat (CGY)C12347210105116832764.41%322819.0800000000001168.32%101193000.6100101120
3Trent FredericHeat (CGY)C12044-10022198240.00%11018.4200000000000050.82%6122000.7900000023
4Sergei BoikovHeat (CGY)D12011-2115410200.00%216113.440000000005000.00%007000.1200001110
5Alex SchoenbornHeat (CGY)RW12000-155320010.00%0877.2700000000000025.00%402000.0000001001
6Dillon HeatheringtonHeat (CGY)D12000-11515596360.00%623319.45000011000021000.00%0014000.0000111001
7Branden TroockHeat (CGY)RW12000210104412470.00%214512.0900000000000035.71%1434000.0000011001
Team Total or Average84121628070604341167801337.19%23129115.3872913410004582158.89%1802654000.4300336876
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
1Thatcher DemkoHeat (CGY)127220.8872.617350132283147000.00001212210
Team Total or Average127220.8872.617350132283147000.00001212210


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex SchoenbornHeat (CGY)RW231995-12-11Yes196 Lbs6 ft1NoNoNo2ELCPro & Farm750,000$0$0$NoLink
Andrej SustrHeat (CGY)D271991-11-29No220 Lbs6 ft7NoNoNo2ELCPro & Farm1,950,000$0$0$NoLink
Branden TroockHeat (CGY)RW251994-03-19No215 Lbs6 ft3NoNoNo2ELCPro & Farm650,000$0$0$NoLink
Brandon BolligHeat (CGY)LW311988-01-31No220 Lbs6 ft2NoNoNo2UFAPro & Farm850,000$0$0$NoLink
Brayden McNabbHeat (CGY)D271992-01-21No212 Lbs6 ft4NoNoNo1ELCPro & Farm1,600,000$0$0$NoLink
Dillon HeatheringtonHeat (CGY)D231995-05-08No215 Lbs6 ft4NoNoNo1ELCPro & Farm800,000$0$0$NoLink
Dylan StromeHeat (CGY)C221997-03-07Yes185 Lbs6 ft3NoNoNo3ELCPro & Farm950,000$0$0$NoLink
Jacob MarkstromHeat (CGY)G271991-07-31No196 Lbs6 ft6NoNoNo1ELCPro & Farm3,667,000$0$0$NoLink
Joshua Ho-SangHeat (CGY)RW231996-01-22No173 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink
Klim KostinHeat (CGY)C/LW/RW191999-05-05Yes196 Lbs6 ft3NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Mark JankowskiHeat (CGY)C241994-09-13No185 Lbs6 ft3NoNoNo2ELCPro & Farm900,000$0$0$NoLink
Oliver KylingtonHeat (CGY)D211997-05-19No183 Lbs6 ft0NoNoNo1ELCPro & Farm800,000$0$0$NoLink
Scott LaughtonHeat (CGY)C231995-05-30No190 Lbs6 ft1NoNoNo1ELCPro & Farm1,500,000$0$0$NoLink
Sergei BoikovHeat (CGY)D231996-01-23Yes195 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Thatcher DemkoHeat (CGY)G231995-12-07No192 Lbs6 ft4NoNoNo2ELCPro & Farm850,000$0$0$NoLink
Trent FredericHeat (CGY)C211998-02-11Yes203 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1623.88199 Lbs6 ft31.881,154,188$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Dylan StromeBranden Troock30122
3Dylan StromeAlex Schoenborn20122
4Trent Frederic10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brayden McNabb40122
2Dillon Heatherington30122
3Sergei Boikov20122
4Brayden McNabb10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Dylan StromeBranden Troock40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brayden McNabb60122
2Dillon Heatherington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Dylan Strome40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brayden McNabb60122
2Dillon Heatherington40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Brayden McNabb60122
240122Dillon Heatherington40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Dylan Strome40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brayden McNabb60122
2Dillon Heatherington40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brayden McNabb
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brayden McNabb
Extra Forwards
Normal PowerPlayPenalty Kill
Trent Frederic, Alex Schoenborn, Trent Frederic, Alex Schoenborn
Extra Defensemen
Normal PowerPlayPenalty Kill
, Sergei Boikov, Sergei Boikov,
Penalty Shots
, , , Dylan Strome, Trent Frederic
Goalie
#1 : , #2 : Thatcher Demko


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
1Barracuda734000001719-242200000129331200000510-560.4291733500198191165671061291915449977516743.75%21576.19%011522850.44%11520955.02%11421553.02%2591703299016582
2Monsters54100000201463300000012662110000088080.8002039590098191156671061291913741877717423.53%160100.00%011522850.44%11520955.02%11421553.02%2591703299016582
Total127500000373347520000024159523000001318-5140.58337721090198191321671061291929190184152331133.33%37586.49%011522850.44%11520955.02%11421553.02%2591703299016582
_Since Last GM Reset127500000373347520000024159523000001318-5140.58337721090198191321671061291929190184152331133.33%37586.49%011522850.44%11520955.02%11421553.02%2591703299016582
_Vs Conference127500000373347520000024159523000001318-5140.58337721090198191321671061291929190184152331133.33%37586.49%011522850.44%11520955.02%11421553.02%2591703299016582

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1214L237721093212919018415201
All Games
GPWLOTWOTL SOWSOLGFGA
127500003733
Home Games
GPWLOTWOTL SOWSOLGFGA
75200002415
Visitor Games
GPWLOTWOTL SOWSOLGFGA
52300001318
Last 10 Games
WLOTWOTL SOWSOL
530200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
331133.33%37586.49%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
671061291998191
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11522850.44%11520955.02%11421553.02%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2591703299016582


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 - 2018-10-036Monsters2Heat4WBoxScore
4 - 2018-10-0514Monsters2Heat3WBoxScore
6 - 2018-10-0722Heat3Monsters4LXBoxScore
8 - 2018-10-0930Heat5Monsters4WXBoxScore
10 - 2018-10-1138Monsters2Heat5WBoxScore
16 - 2018-10-1760Barracuda0Heat2WBoxScore
18 - 2018-10-1964Barracuda2Heat5WBoxScore
20 - 2018-10-2168Heat3Barracuda2WBoxScore
22 - 2018-10-2372Heat0Barracuda3LBoxScore
24 - 2018-10-2576Barracuda2Heat1LXBoxScore
26 - 2018-10-2780Heat2Barracuda5LBoxScore
28 - 2018-10-2984Barracuda5Heat4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,846,700$ 1,165,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 0$ 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
2018127500000373347520000024159523000001318-51437721090198191321671061291929190184152331133.33%37586.49%011522850.44%11520955.02%11421553.02%2591703299016582
Total Playoff127500000373347520000024159523000001318-51437721090198191321671061291929190184152331133.33%37586.49%011522850.44%11520955.02%11421553.02%2591703299016582