Heat

GP: 82 | W: 19 | L: 59 | OTL: 4 | P: 42
GF: 259 | GA: 414 | PP%: 11.98% | PK%: 71.91%
GM : Martin Thibault | Morale : 50 | Team Overall : 64

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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Mikhail GrigorenkoXX100.005735947085808376697165597673687250670
2Andy AndreoffX100.008043826378717562726163656278705550630
3Nathan WalkerX100.007939856467837165596166586473675450630
4Mitchell StephensX100.007235936570868063776462606367647450630
5Mike VecchioneX100.005935916369768164725765596375713650620
6Jonathan AngX100.005842835867818657615956555765636250590
7Ville MeskanenX100.006637895875696257605651595271663450580
Scratches
1Alan QuineXXX100.005639866675747663736564616575684650630
2Andy WelinskiX100.006435956378777365306058625375685650630
TEAM AVERAGE100.00663889637477766464626160627267545062
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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
1Scott Wedgewood100.00738584827271737271737277835250730
2Mareks Mitens100.00677876746665676665676665695450660
Scratches
TEAM AVERAGE100.0070828078696870696870697176535070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Ramsay55466262967165CAN682100,000$


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
1Mike VecchioneHeat (Cal)C824073113-7155312295481434077.30%53145217.71101424147305000004054.79%18800001.5600010454
2Andy AndreoffHeat (Cal)C826048108-6921021023745213635813.27%75149418.231410241112970004893361.06%169500031.4412002586
3Alan QuineHeat (Cal)C/LW/RW80534497-31481011421843910931712.07%114179422.4311122310233910182671261.48%13500051.08120111031
4Ville MeskanenHeat (Cal)RW82345286-28735213176405922918.40%70147017.9311102196343000003049.04%10400011.1700001276
5Nathan WalkerHeat (Cal)LW82381250-58105252161883408326011.18%98127015.5000000000004155.38%6500020.7900005334
6Mitchell StephensHeat (Cal)C3171522-56022508123568.64%931310.13000000000150058.06%31000001.4001000011
7Radim SimekCalgary FlamesD1441519928033164116279.76%1533523.953582780000043100.00%000001.1300000221
Team Total or Average453236259495-1263675583911142306602171610.23%434813217.95495110048313661011241516659.59%2497000111.2225029262923
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
Team Total or Average0.0000.0000.000


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 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
Alan QuineC/LW/RW291993-02-25No203 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Andy AndreoffC301991-05-17No203 Lbs6 ft1NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Andy WelinskiD281993-04-27No201 Lbs6 ft1NoNoNo2UFAPro & Farm400,000$0$0$NoLink / NHL Link
Jonathan AngC241998-01-31No172 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mareks MitensG241998-01-29No185 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Mike VecchioneC291993-02-25No194 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Mikhail GrigorenkoC/LW271994-05-16No206 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$NoLink
Mitchell StephensC251997-02-05No190 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nathan WalkerLW281994-02-07No186 Lbs5 ft9NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Scott WedgewoodG291992-08-14No207 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ville MeskanenRW261995-10-02No188 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1127.18194 Lbs6 ft01.64418,182$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ville Meskanen40122
2Andy AndreoffMike Vecchione30122
3Nathan Walker20122
4Mike Vecchione10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ville Meskanen60122
2Andy AndreoffMike Vecchione40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Andy Andreoff40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Andy Andreoff40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ville Meskanen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ville Meskanen
Extra Forwards
Normal PowerPlayPenalty Kill
, Nathan Walker, , Nathan Walker
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , Andy Andreoff,
Goalie
#1 : , #2 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8242W125938364227312993844830143110
All Games
GPWLOTWOTL SOWSOLGFGA
8216592311259414
Home Games
GPWLOTWOTL SOWSOLGFGA
419291101129198
Visitor Games
GPWLOTWOTL SOWSOLGFGA
417301210130216
Last 10 Games
WLOTWOTL SOWSOL
181000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4094911.98%35610071.91%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9059149031510286685
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1109257843.02%889244736.33%548136440.18%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
174612782327553863383


Last Played Games
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6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2021-10-0110Heat3Senators4LBoxScore
3 - 2021-10-0324Crunch3Heat4WXBoxScore
6 - 2021-10-0645Crunch5Heat8WBoxScore
8 - 2021-10-0865Heat5Gulls4WBoxScore
9 - 2021-10-0974Comets6Heat5LXBoxScore
12 - 2021-10-1296Heat2Griffins4LBoxScore
13 - 2021-10-13106Heat9Moose5WBoxScore
14 - 2021-10-14109Heat2Barracuda3LBoxScore
16 - 2021-10-16128Sound Tigers5Heat1LBoxScore
19 - 2021-10-19152Wolves6Heat1LBoxScore
21 - 2021-10-21169Monsters3Heat2LBoxScore
24 - 2021-10-24195Wolf Pack3Heat2LBoxScore
25 - 2021-10-25201Heat5Condors3WBoxScore
28 - 2021-10-28225Heat4Bears6LBoxScore
29 - 2021-10-29234Heat2Barracuda5LBoxScore
32 - 2021-11-01251Phantoms4Heat5WBoxScore
33 - 2021-11-02270Wild7Heat2LBoxScore
35 - 2021-11-04285Heat3Penguins9LBoxScore
37 - 2021-11-06296Heat2Rocket6LBoxScore
39 - 2021-11-08311Reign4Heat7WBoxScore
42 - 2021-11-11332Bears7Heat4LBoxScore
45 - 2021-11-14356Senators3Heat2LBoxScore
46 - 2021-11-15367Heat2Gulls3LBoxScore
48 - 2021-11-17388Wolf Pack6Heat0LBoxScore
50 - 2021-11-19405Heat5Crunch7LBoxScore
52 - 2021-11-21418Wolves5Heat3LBoxScore
54 - 2021-11-23430Heat0Checkers4LBoxScore
56 - 2021-11-25448Heat7IceHogs3WBoxScore
57 - 2021-11-26461Gulls4Heat1LBoxScore
59 - 2021-11-28480Heat2Admirals8LBoxScore
61 - 2021-11-30496Comets7Heat1LBoxScore
63 - 2021-12-02514Heat6Eagles4WBoxScore
65 - 2021-12-04524Condors7Heat4LBoxScore
67 - 2021-12-06543Heat6Bruins5WBoxScore
69 - 2021-12-08558Checkers7Heat0LBoxScore
71 - 2021-12-10581Stars3Heat2LBoxScore
73 - 2021-12-12596Heat2Stars7LBoxScore
74 - 2021-12-13610Heat1Monsters5LBoxScore
76 - 2021-12-15622Monsters8Heat2LBoxScore
77 - 2021-12-16635Heat3Senators6LBoxScore
80 - 2021-12-19656Admirals3Heat2LBoxScore
82 - 2021-12-21669Heat3Condors5LBoxScore
83 - 2021-12-22683IceHogs2Heat8WBoxScore
86 - 2021-12-25708Bruins8Heat2LBoxScore
87 - 2021-12-26712Heat3Bears4LBoxScore
90 - 2021-12-29737Heat5Wild9LBoxScore
92 - 2021-12-31748Thunderbirds4Heat0LBoxScore
94 - 2022-01-02768Heat2Comets6LBoxScore
96 - 2022-01-04781Devils7Heat5LBoxScore
98 - 2022-01-06803Heat3Marlies4LXBoxScore
99 - 2022-01-07812Heat7Moose3WBoxScore
100 - 2022-01-08823Griffins5Heat4LXXBoxScore
102 - 2022-01-10844Americans3Heat4WBoxScore
107 - 2022-01-15874Sound Tigers2Heat0LBoxScore
109 - 2022-01-17895Heat2Rampage6LBoxScore
110 - 2022-01-18906Palm Springs3Heat6WBoxScore
112 - 2022-01-20921Heat1Phantoms5LBoxScore
113 - 2022-01-21935Roadrunners6Heat8WBoxScore
118 - 2022-01-26965Phantoms4Heat1LBoxScore
120 - 2022-01-28987Heat4Griffins8LBoxScore
121 - 2022-01-29998Crunch4Heat2LBoxScore
122 - 2022-01-301007Heat3Roadrunners4LXBoxScore
123 - 2022-01-311025Moose3Heat8WBoxScore
126 - 2022-02-031041Heat3Senators8LBoxScore
128 - 2022-02-051061Roadrunners3Heat2LBoxScore
130 - 2022-02-071076Heat1Thunderbirds4LBoxScore
133 - 2022-02-101094Crunch2Heat1LBoxScore
135 - 2022-02-121109Heat4Sound Tigers3WXXBoxScore
137 - 2022-02-141124Thunderbirds6Heat4LBoxScore
139 - 2022-02-161137Heat1Wolf Pack4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
141 - 2022-02-181147Heat2Bruins4LBoxScore
143 - 2022-02-201161Penguins10Heat1LBoxScore
144 - 2022-02-211176Heat2Griffins7LBoxScore
146 - 2022-02-231189Heat6Reign5WXBoxScore
147 - 2022-02-241197Rampage7Heat4LBoxScore
151 - 2022-02-281224Penguins5Heat4LBoxScore
152 - 2022-03-011232Heat1Barracuda5LBoxScore
155 - 2022-03-041253Heat2Devils7LBoxScore
156 - 2022-03-051261Barracuda6Heat1LBoxScore
159 - 2022-03-081282Heat3Devils7LBoxScore
162 - 2022-03-111295Heat1Wolves7LBoxScore
164 - 2022-03-131312Reign2Heat6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance77,28538,486
Attendance PCT94.25%93.87%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2824 - 94.12% 70,449$2,888,391$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
154,523$ 46,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 54,505$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 885$ 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
Regular Season
1282442601632290223674120140042114611036412412012111441133110429046075016010710178268408658879182135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
136828310611122321493413150311111410773415160300010910727222338460734084706219410654592674188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
14683228032122291676234141700111110822834181103101119853476229390619260101754923470752763813244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
15824725042222941901044124100410215584714123150012013910633110294480774180123828329380989968952216661885413334476213.87%3746083.96%01719282960.76%1409254155.45%724119660.54%207515391967552909450
1682165902311259414-1554192901101129198-694173001210130216-86422593836421010286685273190591490315299384483014314094911.98%35610071.91%21109257843.02%889244736.33%548136440.18%174612782327553863383
Total Regular Season3821671690161488129512088719180850884665458173191878408642641627144041295209733928241025013962771264190541744113337211623320346147075196728414.44%193035881.45%1766051216954.28%58331207848.29%3055583052.40%912466809724259242002016
Playoff
115140000069-32020000013-23120000056-12610160002219602630391254279923638.33%36391.67%06415541.29%9016753.89%305851.72%10466134416128
12514000001021-112020000038-531200000713-62101828000424115038393811729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
15514000001015-52020000016-531200000990210172700062217106567391394663892015.00%24579.17%012018564.86%7613456.72%427060.00%12292123315325
Total Playoff15312000002645-1960600000517-12936000002128-76264571000126738201291361163811172202728378.43%971782.47%027249854.62%24243755.38%12020558.54%33523338911317580