Calgary Hitman

GP: 24 | W: 13 | L: 11
GF: 102 | GA: 98 | PP%: 33.87% | PK%: 69.49%
GM : Charles | Morale : 85 | Team Overall : 60
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
1Marcus SorensenXX100.007653907965658560376270652556577066630
2Trevor MooreXXX100.006741857561708765256267752547475175630
3Kiefer Sherwood (R)XX100.008144947266597959386162652548486681610
4Paul ThompsonXXX100.006974586274849064505965626245456586610
5J.T. BrownXX100.008355847361536357335957712568716383600
6Nick LappinX100.008044997566668565575055612549496282600
7Mitch CallahanX100.007570886970676961505662645944446477600
8Liam O'BrienX100.007276636876828955694858615545456181590
9Joseph Gambardella (R)XX100.007343956271517455566555702545456281590
10Patrick EavesXX100.008173997473403756505644734275795765580
11Nick Jones (R)XX100.007264906864484756704760615744445983550
12Jan RuttaX100.006743877776687760255248752555556175650
13Kevin GravelX100.007344967080656058254847812556576181640
14Andrej SustrX100.008686857386586247253439723767705471630
15Erik Brannstrom (R)X100.006562757862737556255245684644445879610
16Radim SimekX100.008144936672677160255747652547476178610
17T.J. BrennanX100.007678706478747958255646644445455983610
Scratches
1Jori LehteraXX100.007666677779546460765756816365676357630
2Tanner Jeannot (R)X100.007576726876677153504556625344445819560
3Stelio Mattheos (R)X100.007872926772585954504558645544446039560
4Calvin ThurkaufX100.007474756574616646583846624454545220530
5Cody GoloubefX100.007074606874626458255048654663635761600
6Jakub JerabekX100.007672847672596250253845644352535520580
7Kale Clague (R)X100.007065817165677056255146604444445719580
8Sean Day (R)X100.008784935984606448254041673944445420580
9Jack DoughertyX100.007369836669697548253940613849495320570
TEAM AVERAGE100.00756383707263705640515267405252596260
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
1Marek Mazanec100.00526581794854505751513046465380560
Scratches
1Garret Sparks100.00626159836657556569629547476265610
TEAM AVERAGE100.0057637081575653616057634747587359
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo51766373796568CAN42260,000$


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
1Marcus SorensenCalgary Hitman (CAL)LW/RW241920392755041117337816.24%1350621.10591411500000122235.71%562513011.5400010334
2Trevor MooreCalgary Hitman (CAL)C/LW/RW241819371404829135337713.33%2054622.77831115500006485323.81%423217011.3500000612
3Paul ThompsonCalgary Hitman (CAL)C/LW/RW241315284160543574213717.57%641317.230555381011202041.97%305129001.3500000123
4Jori LehteraCalgary Hitman (CAL)C/LW217202723915504859184911.86%1645221.523699480002300156.89%6891013001.1900021021
5Mitch CallahanCalgary Hitman (CAL)RW2413122522220311854284224.07%738416.00314537000000052.63%191110011.3001031211
6Kiefer SherwoodCalgary Hitman (CAL)LW/RW245131830034327428606.76%836815.3400002000061046.15%13216000.9800000010
7J.T. BrownCalgary Hitman (CAL)LW/RW2471017-240381547183714.89%930812.84123439000000054.55%111410001.1000000001
8Jan RuttaCalgary Hitman (CAL)D2411415529536474930232.04%4765227.20145951000041000.00%01329000.4600100011
9Radim SimekCalgary Hitman (CAL)D24013133203027251970.00%2446219.2704455400005000.00%0923000.5600000000
10Nick LappinCalgary Hitman (CAL)RW247512-140352744292615.91%929812.4400005000001040.00%25194200.8000000000
11Kevin GravelCalgary Hitman (CAL)D2418962028444316212.33%5061025.4300000000350000.00%0534100.2900000101
12Andrej SustrCalgary Hitman (CAL)D241783203333367142.78%2648320.13022236011037000.00%0420000.3300000010
13Liam O'BrienCalgary Hitman (CAL)LW24437-215532213342712.12%424510.22000000001271058.33%2462000.5700001000
14Joseph GambardellaCalgary Hitman (CAL)C/LW24145-2001121298173.45%827811.5900000000060054.23%14273000.3600000000
15Nick JonesCalgary Hitman (CAL)C/RW24235-240814385195.26%52058.5700000000001053.97%6372000.4900000000
16Erik BrannstromCalgary Hitman (CAL)D24134-85583221694.76%1833013.790000500008000.00%0111000.2401100000
17T.J. BrennanCalgary Hitman (CAL)D24044-73220252215990.00%2238015.86000135000122000.00%0413000.2100103000
18Stelio MattheosCalgary Hitman (CAL)RW18224-100962071610.00%21548.59000000000000100.00%142000.5200000000
19Patrick EavesCalgary Hitman (CAL)LW/RW6000-100714020.00%1518.66000000000100100.00%110000.0000000000
Team Total or Average42910217527751877556751391731957011.12%295713316.63213657664561121431813650.97%1391205221330.7802366131214
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
1Garret SparksCalgary Hitman (CAL)2413820.8924.0013802092854508000.0000240001
2Marek MazanecCalgary Hitman (CAL)30100.8504.62780064024000.0000024000
Team Total or Average2713920.8904.0314592098894532000.00002424001


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 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
Andrej SustrCalgary Hitman (CAL)D271990-11-29No220 Lbs6 ft7NoNoNo1Pro & Farm750,000$0$0$NoLink
Calvin ThurkaufCalgary Hitman (CAL)C211997-06-27No204 Lbs6 ft1NoNoNo1Pro & Farm738,000$0$0$NoLink
Cody GoloubefCalgary Hitman (CAL)D281989-11-30No200 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLink
Erik BrannstromCalgary Hitman (CAL)D181999-09-02Yes173 Lbs5 ft10NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Link
Garret SparksCalgary Hitman (CAL)G251993-06-28No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink
J.T. BrownCalgary Hitman (CAL)LW/RW271990-07-02No169 Lbs5 ft10NoNoNo1Pro & Farm687,500$0$0$NoLink
Jack DoughertyCalgary Hitman (CAL)D221996-05-24No186 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Jakub JerabekCalgary Hitman (CAL)D271991-05-12No200 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLink
Jan RuttaCalgary Hitman (CAL)D271990-07-29No200 Lbs6 ft3YesNoNo2Pro & Farm1,999,999$0$0$No1,999,999$Link
Jori LehteraCalgary Hitman (CAL)C/LW301987-12-23No212 Lbs6 ft2YesNoNo1Pro & Farm700,000$0$0$NoLink
Joseph GambardellaCalgary Hitman (CAL)C/LW241993-12-01Yes201 Lbs5 ft10NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Kale ClagueCalgary Hitman (CAL)D201998-06-05Yes177 Lbs6 ft0NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Link
Kevin GravelCalgary Hitman (CAL)D261992-03-06No212 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLink
Kiefer SherwoodCalgary Hitman (CAL)LW/RW231995-03-31Yes180 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Liam O'BrienCalgary Hitman (CAL)LW231994-07-29No215 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLink
Marcus SorensenCalgary Hitman (CAL)LW/RW261992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Link
Marek MazanecCalgary Hitman (CAL)G261991-07-17No187 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLink
Mitch CallahanCalgary Hitman (CAL)RW261991-08-16No190 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLink
Nick JonesCalgary Hitman (CAL)C/RW221996-06-02Yes176 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$NoLink
Nick LappinCalgary Hitman (CAL)RW251992-11-01No175 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Patrick EavesCalgary Hitman (CAL)LW/RW341984-04-30No202 Lbs6 ft0NoNoNo1Farm Only1,999,999$0$0$NoLink
Paul ThompsonCalgary Hitman (CAL)C/LW/RW291988-11-30No200 Lbs6 ft1YesNoNo1Pro & Farm600,000$0$0$NoLink
Radim SimekCalgary Hitman (CAL)D251992-09-20No205 Lbs5 ft10NoNoNo1Pro & Farm675,000$0$0$NoLink
Sean DayCalgary Hitman (CAL)D201998-01-08Yes231 Lbs6 ft2NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Link
Stelio MattheosCalgary Hitman (CAL)RW191999-06-13Yes198 Lbs6 ft1NoNoNo4Pro & Farm809,166$0$0$No809,166$809,166$809,166$Link
T.J. BrennanCalgary Hitman (CAL)D291989-04-03No216 Lbs6 ft1YesNoNo1Pro & Farm750,000$0$0$NoLink
Tanner JeannotCalgary Hitman (CAL)LW211997-05-29Yes207 Lbs6 ft2NoNoNo3Pro & Farm713,333$0$0$No713,333$713,333$Link
Trevor MooreCalgary Hitman (CAL)C/LW/RW231995-03-31No170 Lbs5 ft9NoNoNo2Pro & Farm775,000$0$0$No775,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.75196 Lbs6 ft11.54823,768$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trevor MooreMarcus Sorensen40014
2Kiefer SherwoodPaul ThompsonMitch Callahan30023
3J.T. BrownJoseph GambardellaNick Lappin20122
4Liam O'BrienNick JonesPatrick Eaves10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelJan Rutta40012
2Andrej SustrRadim Simek30032
3Erik BrannstromT.J. Brennan20032
4Kevin GravelJan Rutta10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trevor MooreMarcus Sorensen60005
2J.T. BrownPaul ThompsonMitch Callahan40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Radim SimekJan Rutta60014
2Andrej SustrT.J. Brennan40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Trevor Moore60041
2Marcus SorensenPatrick Eaves40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelJan Rutta60041
2Andrej SustrT.J. Brennan40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160050Kevin GravelJan Rutta60050
2Trevor Moore40050Andrej SustrT.J. Brennan40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Trevor Moore60023
2Marcus SorensenPaul Thompson40032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kevin GravelJan Rutta60032
2Andrej SustrT.J. Brennan40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Trevor MooreMarcus SorensenKevin GravelJan Rutta
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Trevor MoorePatrick EavesKevin GravelJan Rutta
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Lappin, Kiefer Sherwood, Liam O'BrienNick Lappin, Kiefer SherwoodLiam O'Brien
Extra Defensemen
Normal PowerPlayPenalty Kill
Jan Rutta, Kevin Gravel, Andrej SustrErik BrannstromKevin Gravel, Andrej Sustr
Penalty Shots
, Trevor Moore, Marcus Sorensen, Paul Thompson, Mitch Callahan
Goalie
#1 : , #2 : Marek Mazanec


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
1Lake Erie Monsters74300000352873120000013103431000002218480.57135599400214334424127035327720251707316823834.78%24866.67%025954947.18%24548850.20%21942551.53%517288506216435224
2Philadelphia Phantoms514000001524-92110000068-230300000916-720.2001527420021433442052703532772018961271194250.00%12466.67%025954947.18%24548850.20%21942551.53%517288506216435224
3Quebec Rempart6420000027198321000001711632100000108280.66727457200214334422927035327720187744816018738.89%15380.00%125954947.18%24548850.20%21942551.53%517288506216435224
4Rochester Americans642000002527-2321000001215-3321000001312180.66725446900214334424527035327720267904112117423.53%8362.50%025954947.18%24548850.20%21942551.53%517288506216435224
Total241311000001029841165000004844413760000054540260.54210217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224
_Since Last GM Reset241311000001029841165000004844413760000054540260.54210217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224
_Vs Conference1912700000877413954000004236610730000045387240.6328714823500214334471527035327720705234162449581932.76%471470.21%125954947.18%24548850.20%21942551.53%517288506216435224
_Vs Division543000001524-92120000068-233100000916-780.8001527420021433442052703532772018961271194250.00%12466.67%025954947.18%24548850.20%21942551.53%517288506216435224

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2426L110217527792089429518956800
All Games
GPWLOTWOTL SOWSOLGFGA
241311000010298
Home Games
GPWLOTWOTL SOWSOLGFGA
116500004844
Visitor Games
GPWLOTWOTL SOWSOLGFGA
137600005454
Last 10 Games
WLOTWOTL SOWSOL
351100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
622133.87%591869.49%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
270353277202143344
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
25954947.18%24548850.20%21942551.53%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
517288506216435224


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
1 - 2019-10-047Calgary Hitman4Quebec Rempart2WBoxScore
2 - 2019-10-0515Calgary Hitman2Quebec Rempart4LBoxScore
3 - 2019-10-0623Quebec Rempart5Calgary Hitman4LXBoxScore
4 - 2019-10-0731Quebec Rempart4Calgary Hitman7WBoxScore
5 - 2019-10-0839Calgary Hitman4Quebec Rempart2WBoxScore
6 - 2019-10-0947Quebec Rempart2Calgary Hitman6WBoxScore
8 - 2019-10-1160Calgary Hitman3Rochester Americans4LBoxScore
9 - 2019-10-1264Calgary Hitman5Rochester Americans4WXBoxScore
10 - 2019-10-1368Rochester Americans3Calgary Hitman4WXBoxScore
11 - 2019-10-1472Rochester Americans8Calgary Hitman3LBoxScore
12 - 2019-10-1576Calgary Hitman5Rochester Americans4WXBoxScore
13 - 2019-10-1680Rochester Americans4Calgary Hitman5WBoxScore
15 - 2019-10-1886Calgary Hitman4Lake Erie Monsters6LBoxScore
16 - 2019-10-1988Calgary Hitman7Lake Erie Monsters5WBoxScore
17 - 2019-10-2090Lake Erie Monsters5Calgary Hitman4LXBoxScore
18 - 2019-10-2192Lake Erie Monsters4Calgary Hitman2LBoxScore
19 - 2019-10-2294Calgary Hitman5Lake Erie Monsters3WBoxScore
20 - 2019-10-2396Lake Erie Monsters1Calgary Hitman7WBoxScore
21 - 2019-10-2498Calgary Hitman6Lake Erie Monsters4WBoxScore
22 - 2019-10-2599Calgary Hitman4Philadelphia Phantoms6LBoxScore
23 - 2019-10-26100Calgary Hitman3Philadelphia Phantoms5LBoxScore
24 - 2019-10-27101Philadelphia Phantoms5Calgary Hitman2LBoxScore
25 - 2019-10-28102Philadelphia Phantoms3Calgary Hitman4WXBoxScore
26 - 2019-10-29103Calgary Hitman2Philadelphia Phantoms5LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance21,49510,670
Attendance PCT97.70%97.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
30 2924 - 97.47% 123,585$1,359,439$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,306,551$ 2,296,551$ 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$ 0 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
Regular Season
2016825025031304043089641241301120200157434126120201020415153100404662106611911501576324095111811095272864949173918452307432.17%1394567.63%51033191753.89%936174653.61%810146255.40%1796102015977381545787
20178252180144340225614641259012221961316541279002212061258110440265010523090147160103208100511161078292805970104818242308034.78%1523974.34%4982181953.99%892178150.08%687135950.55%1789100816167501562789
201882511803451398287111412890112020713275412390233119115536102398657105511881601421231909551134108833286094699219262497429.72%2206371.36%10995182054.67%963181553.06%785143654.67%1806102016187571536771
20198236330228140439212412013010701851778411620012112192154724046691073001061581301529949251064997303125983105818922216629.86%2247168.30%3730163144.76%752171043.98%672153743.72%173194916977621541775
Total Regular Season3281899409112051608124336516497440441327885971911649250057738206461743781608263842465237561558943126323836449542581191165438484837748793029431.61%73521870.34%223740718752.04%3543705250.24%2954579450.98%712439996529300861863124
20192413110000010298411650000048444137600000545402610217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224
Total Playoff2413110000010298411650000048444137600000545402610217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224