Hamilton Hitmen

GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 3 | GA: 2 | PP%: 50.00% | PK%: 0.00%
GM : Matt Raspburg | Morale : 42 | Team Overall : N/A
Next Games #28 vs Long Island Cobras
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
1Alexandre Bolduc0X100.00563668687252465756504556526663474200
2Chris Porter0X98.00815083697450535839505152526864394200
3Jarod Palmer (R)0X99.00523572697045435536504660496456554200
4Krys Barch0X100.0065905566804952563351475351766974200
5Michael Blunden0X99.00764674648447535733514961506460554200
6Pierre-Luc Letourneau-Leblond0X99.00758352667555475231484256476663474200
7Teemu Hartikainen (R)0XX98.00563778697648576135555362555659874200
8Brian Sutherby0X99.00647568647854465851494854577268234200
9David Dziurzynski (R)0XXX100.00544564677851575630514653505853794200
10Phil McRae (R)0X99.00483578687849566048515254535659874200
11Rick Schofield (R)0X100.00473580677447585341484556496255634200
12Sean Dolan (R)0X100.00523572707845405137464354466063714200
13David Rundblad (R)0X99.00553676687346505330484855545655874200
14Simon Despres (R)0X99.00563669678147495030444555515461954200
15Steve Kampfer0X99.00533677696746435730485359576062714200
16Drew Paris (R)0X100.00493578638345404530404056476063714200
17Joe Sova (R)0X100.00433583627548434830444955536054714200
18Jordan Henry (R)0X98.00595061677653524830434159496464554200
19Mathieu Brodeur (R)0X100.00513575618845404530404059475662874200
Scratches
1Bill Sweatt (R)0X94.39463578726847586030555260536054713200
2Chase Polacek (R)0XX100.00433582755845404830434050465862793900
3Kyle Neuber (R)0X100.00514069687953454530424051465858793900
TEAM AVERAGE99.1156447267764949533548465651626065410
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
1Adam Morrison (R)100.0045456577604545484545485461954200
2Alex Stalock99.0053566665666460616160636263634200
3Tyler Bunz (R)100.0050505050505050505050505050504200
Scratches
TEAM AVERAGE99.674950606459535253525254555869420
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Keith McCambridge71626669686685CAN372400,000$


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 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
1Teemu HartikainenHamilton Hitmen (TEX)LW/RW11121002462116.67%12424.580111200002000.00%473001.6311000100
2Michael BlundenHamilton Hitmen (TEX)RW11011005131433.33%11818.501012200001000.00%130001.0800000010
3Jordan HenryHamilton Hitmen (TEX)D1011000214000.00%42727.550000300001000.00%002000.7300000000
4Phil McRaeHamilton Hitmen (TEX)C1011-200112220.00%01818.0201113000000066.67%1520001.1100000000
5Alexandre BolducHamilton Hitmen (TEX)C1000000100000.00%077.720000000000000.00%210000.0000000000
6Bill SweattHamilton Hitmen (TEX)LW1000000013010.00%11515.670000000001000.00%021000.0000000000
7Chris PorterHamilton Hitmen (TEX)LW1000-200113210.00%02121.900002300002000.00%022000.0011000000
8David RundbladHamilton Hitmen (TEX)D1000-100021020.00%22323.130000200002000.00%002000.0000000000
9Jarod PalmerHamilton Hitmen (TEX)C1000000011210.00%11414.5500000000000050.00%1210000.0000000000
10Krys BarchHamilton Hitmen (TEX)LW1000000011120.00%088.480000000000000.00%011000.0000000000
11Pierre-Luc Letourneau-LeblondHamilton Hitmen (TEX)RW1000-200210010.00%11818.0200003000000050.00%201000.0000000000
12Simon DespresHamilton Hitmen (TEX)D1000-100120010.00%12121.220000200002000.00%001000.0000000000
13Steve KampferHamilton Hitmen (TEX)D1000-100102210.00%02121.950001300001000.00%020000.0000000000
14Brian SutherbyHamilton Hitmen (TEX)C1000100110010.00%01616.1700002000000064.29%1411000.0000000000
15David DziurzynskiHamilton Hitmen (TEX)C/LW/RW1000040011000.00%11414.980000000000000.00%030000.0000000000
16Drew ParisHamilton Hitmen (TEX)D1000000001000.00%21414.300000000000000.00%000000.0000000000
17Joe SovaHamilton Hitmen (TEX)D1000100000000.00%022.520000000000000.00%000000.0000000000
18Mathieu BrodeurHamilton Hitmen (TEX)D1000000020000.00%01414.300000000000000.00%003000.0000000000
19Rick SchofieldHamilton Hitmen (TEX)C1000000001010.00%055.60000000000000100.00%100000.0000000000
20Sean DolanHamilton Hitmen (TEX)C1000000010000.00%011.770000000000000.00%010000.0000000000
Team Total or Average20235-54017212912196.90%1531015.551237310000150052.94%512617000.3222000110
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 StalockHamilton Hitmen (TEX)11000.9171.85650022413001.000210000
Team Total or Average11000.9171.85650022413001.000210000


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 RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Adam MorrisonHamilton Hitmen (TEX)G202/9/1993Yes194 Lbs6 ft3NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Alex StalockHamilton Hitmen (TEX)G237/28/1989No180 Lbs6 ft0NoNoNo1RFAPro & Farm625,000$625,000$625,000$625,000$0$0$NoLink
Alexandre BolducHamilton Hitmen (TEX)C266/26/1987No197 Lbs6 ft1NoNoNo1RFAPro & Farm575,000$575,000$575,000$575,000$0$0$NoLink
Bill SweattHamilton Hitmen (TEX)LW229/21/1990Yes190 Lbs6 ft0NoNoNo2ELCPro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$Link
Brian SutherbyHamilton Hitmen (TEX)C293/1/1984No205 Lbs6 ft3NoNoNo2UFAPro & Farm1,000,000$1,000,000$0$0$No1,000,000$Link
Chase PolacekHamilton Hitmen (TEX)C/RW226/19/1991Yes190 Lbs5 ft8NoNoNo2ELCPro & Farm400,000$400,000$0$0$No400,000$Link
Chris PorterHamilton Hitmen (TEX)LW275/29/1986No210 Lbs6 ft1NoNoNo1RFAPro & Farm600,000$600,000$600,000$600,000$0$0$NoLink
David DziurzynskiHamilton Hitmen (TEX)C/LW/RW2110/6/1991Yes204 Lbs6 ft3NoNoNo2ELCPro & Farm600,000$600,000$600,000$600,000$0$0$No600,000$Link
David RundbladHamilton Hitmen (TEX)D2010/8/1992Yes190 Lbs6 ft2NoNoNo2ELCPro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$Link
Drew ParisHamilton Hitmen (TEX)D235/12/1990Yes215 Lbs6 ft4NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Jarod PalmerHamilton Hitmen (TEX)C252/10/1988Yes200 Lbs6 ft0NoNoNo1RFAPro & Farm735,000$735,000$735,000$735,000$0$0$NoLink
Joe SovaHamilton Hitmen (TEX)D235/8/1990Yes200 Lbs6 ft2NoNoNo2RFAPro & Farm565,000$565,000$565,000$565,000$0$0$No565,000$Link
Jordan HenryHamilton Hitmen (TEX)D252/11/1988Yes195 Lbs6 ft3NoNoNo1RFAPro & Farm600,000$600,000$600,000$600,000$0$0$NoLink
Krys BarchHamilton Hitmen (TEX)LW313/26/1982No237 Lbs6 ft1NoNoNo2UFAPro & Farm400,000$400,000$837,500$837,500$0$0$No400,000$Link
Kyle NeuberHamilton Hitmen (TEX)RW223/22/1991Yes220 Lbs6 ft2NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Mathieu BrodeurHamilton Hitmen (TEX)D216/21/1992Yes215 Lbs6 ft6NoNoNo2ELCPro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Link
Michael BlundenHamilton Hitmen (TEX)RW2412/15/1988No218 Lbs6 ft4NoNoNo2RFAPro & Farm590,000$590,000$615,000$615,000$0$0$No590,000$Link
Phil McRaeHamilton Hitmen (TEX)C213/15/1992Yes200 Lbs6 ft3NoNoNo2ELCPro & Farm854,166$854,166$854,166$854,166$0$0$No854,166$Link
Pierre-Luc Letourneau-LeblondHamilton Hitmen (TEX)RW266/4/1987No214 Lbs6 ft1NoNoNo1RFAPro & Farm525,000$525,000$525,000$525,000$0$0$NoLink
Rick SchofieldHamilton Hitmen (TEX)C244/23/1989Yes197 Lbs6 ft2NoNoNo1RFAPro & Farm900,000$900,000$900,000$900,000$0$0$NoLink
Sean DolanHamilton Hitmen (TEX)C232/11/1990Yes200 Lbs6 ft3NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Simon DespresHamilton Hitmen (TEX)D197/27/1993Yes205 Lbs6 ft4NoNoNo3ELCPro & Farm840,000$840,000$840,000$840,000$0$0$No840,000$840,000$Link
Steve KampferHamilton Hitmen (TEX)D229/24/1990No197 Lbs5 ft11NoNoNo2ELCPro & Farm852,500$852,500$852,500$852,500$0$0$No852,500$Link
Teemu HartikainenHamilton Hitmen (TEX)LW/RW215/3/1992Yes215 Lbs6 ft1NoNoNo2ELCPro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Link
Tyler BunzHamilton Hitmen (TEX)G212/11/1992 1:05:24 AMYes198 Lbs6 ft1NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2523.24203 Lbs6 ft21.76677,467$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Teemu HartikainenBrian SutherbyMichael Blunden40122
2Chris PorterPhil McRaePierre-Luc Letourneau-Leblond30122
3Jarod PalmerDavid Dziurzynski20122
4Krys BarchAlexandre BolducTeemu Hartikainen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HenrySteve Kampfer40122
2David RundbladSimon Despres30122
3Mathieu BrodeurDrew Paris20122
4Joe SovaJordan Henry10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Teemu HartikainenBrian SutherbyMichael Blunden60122
2Chris PorterPhil McRaePierre-Luc Letourneau-Leblond40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HenrySteve Kampfer60122
2David RundbladSimon Despres40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Teemu HartikainenChris Porter60122
2Michael Blunden40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HenrySteve Kampfer60122
2David RundbladSimon Despres40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Teemu Hartikainen60122Jordan HenrySteve Kampfer60122
2Chris Porter40122David RundbladSimon Despres40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Teemu HartikainenChris Porter60122
2Michael Blunden40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan HenrySteve Kampfer60122
2David RundbladSimon Despres40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Teemu HartikainenBrian SutherbyMichael BlundenJordan HenrySteve Kampfer
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Teemu HartikainenBrian SutherbyMichael BlundenJordan HenrySteve Kampfer
Extra Forwards
Normal PowerPlayPenalty Kill
Rick Schofield, Sean Dolan, Krys BarchRick Schofield, Sean DolanKrys Barch
Extra Defensemen
Normal PowerPlayPenalty Kill
Mathieu Brodeur, Drew Paris, Joe SovaMathieu BrodeurDrew Paris, Joe Sova
Penalty Shots
Teemu Hartikainen, Chris Porter, , Michael Blunden, Brian Sutherby
Goalie
#1 : Alex Stalock, #2 : Adam Morrison, #3 : Tyler Bunz


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
1Tampa Scarecrows10000010321100000103210000000000021.00033600110229779824154172150.00%000.00%0152171.43%51729.41%71353.85%2616228158
Total10000010321100000103210000000000021.00033600110229779824154172150.00%000.00%0152171.43%51729.41%71353.85%2616228158
_Since Last GM Reset10000010321100000103210000000000021.00033600110229779824154172150.00%000.00%0152171.43%51729.41%71353.85%2616228158
_Vs Conference10000010321100000103210000000000021.00033600110229779824154172150.00%000.00%0152171.43%51729.41%71353.85%2616228158

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
12SOW133629241541700
All Games
GPWLOTWOTL SOWSOLGFGA
100001032
Home Games
GPWLOTWOTL SOWSOLGFGA
100001032
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2150.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
77981102
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
152171.43%51729.41%71353.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2616228158


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 - 2018-05-1616Tampa Scarecrows2Hamilton Hitmen3WXXBoxScore
3 - 2018-05-1728Hamilton Hitmen-Long Island Cobras-
5 - 2018-05-1941Hamilton Hitmen-Helsinki Eagles-
6 - 2018-05-2056Helsinki Eagles-Hamilton Hitmen-



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
1 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,693,667$ 1,599,917$ 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