Brampton Battalion

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Dale Racine | Morale : 1 | Team Overall : 58
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
1Garrett WilsonX100.008869886574488657386156786357576443620
2Sonny MilanoXXX100.007573797473656566506666646445466767620
3Michael McLeod (R)X100.008576827972637660786255622545456349610
4Nathan GerbeXX100.006358737358626267506560655768696452610
5Carter Camper (R)X100.007062886462808465806462625944446619610
6Erik CondraXX100.006966756566808565506460645752526440610
7Kurtis GabrielX100.009999356580486558255959682546466382590
8Cameron HughesX100.006760846560676962785661635854546257590
9John McCarron (R)XX100.008180836780596059745658665544446351590
10Colton BeckX100.007266856266828955504658635553536158580
11Martin Kaut (R)X100.007267836567646756505157615444446056560
12Henrik SamuelssonXX100.007980776480687449504646644450505520550
13Zach TrotmanX100.008045907180676363254847662555555953620
14Josh BrownX100.008799786288628060254448662550505858620
15Michael KaplaX100.007973926573758251254740633844445552590
16Cam Dineen (R)X100.007566966866707747253741603944445350570
17Jeremy RoyX100.007468896768575951254343624147475452560
18Thomas Gregoire (R)X100.007163896963606350254341593944445324550
Scratches
1Austin Poganski (R)X100.008075936575676959505954665144446154590
2Will Pelletier (R)X100.006759866459687157505357595444446041560
3Linus Olund (R)X100.007668956868677250634747624544445620550
4Vincent ArseneauXX100.008084726684525352504158645544445820550
5Hunter Fejes (R)X100.007571845971707648504446614444445420530
6Duncan SiemensX100.007279566579657046253540613852535150570
7Matt Abt (R)X100.007371786271667246253839593744445120550
TEAM AVERAGE100.00767181667165725645515264464848594458
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
1Antti Niemi100.00565255806348435858559070745533580
Scratches
TEAM AVERAGE100.0056525580634843585855907074553358
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Barr47537348454652CAN58160,000$


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
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


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
Antti NiemiBrampton Battalion (EDM)G341983-08-28No209 Lbs6 ft2YesNoNo1Pro & Farm500,000$0$0$NoLink
Austin PoganskiBrampton Battalion (EDM)RW221996-02-16Yes201 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Cam DineenBrampton Battalion (EDM)D201998-06-19Yes183 Lbs5 ft11NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$Link
Cameron HughesBrampton Battalion (EDM)C211996-10-09No161 Lbs5 ft11NoNoNo2Pro & Farm792,500$0$0$No792,500$Link
Carter CamperBrampton Battalion (EDM)C291988-07-06Yes176 Lbs5 ft9YesNoNo1Pro & Farm500,000$0$0$NoLink
Colton BeckBrampton Battalion (EDM)LW281990-06-10No187 Lbs5 ft10YesNoNo1Pro & Farm500,000$0$0$NoLink
Duncan SiemensBrampton Battalion (EDM)D241993-09-07No210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLink
Erik CondraBrampton Battalion (EDM)LW/RW311986-08-06No183 Lbs5 ft11NoNoNo1Pro & Farm770,000$0$0$NoLink
Garrett WilsonBrampton Battalion (EDM)LW271991-03-16No199 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLink
Henrik SamuelssonBrampton Battalion (EDM)C/RW241994-02-07No219 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Hunter FejesBrampton Battalion (EDM)LW241994-05-31Yes190 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLink
Jeremy RoyBrampton Battalion (EDM)D211997-05-14No185 Lbs6 ft0NoNoNo2Pro & Farm827,500$0$0$No827,500$Link
John McCarronBrampton Battalion (EDM)C/RW261992-04-16Yes218 Lbs6 ft3YesNoNo1Pro & Farm500,000$0$0$NoLink
Josh BrownBrampton Battalion (EDM)D241994-01-21No225 Lbs6 ft5NoNoNo1Pro & Farm675,000$0$0$NoLink
Kurtis GabrielBrampton Battalion (EDM)RW251993-04-20No200 Lbs6 ft4YesNoNo1Pro & Farm600,000$0$0$NoLink
Linus OlundBrampton Battalion (EDM)C211997-06-05Yes185 Lbs6 ft0NoNoNo3Pro & Farm775,833$0$0$No775,833$775,833$Link
Martin KautBrampton Battalion (EDM)RW181999-10-02Yes176 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Matt AbtBrampton Battalion (EDM)D241993-07-25Yes181 Lbs6 ft4YesNoNo1Pro & Farm500,000$0$0$NoLink
Michael KaplaBrampton Battalion (EDM)D231994-09-19No200 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLink
Michael McLeodBrampton Battalion (EDM)C201998-02-03Yes187 Lbs6 ft2NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Link
Nathan GerbeBrampton Battalion (EDM)LW/RW301987-07-24No178 Lbs5 ft5NoNoNo1Pro & Farm675,000$0$0$NoLink
Sonny MilanoBrampton Battalion (EDM)C/LW/RW221996-05-11No195 Lbs6 ft2NoNoNo1Pro & Farm874,125$0$0$NoLink
Thomas GregoireBrampton Battalion (EDM)D191998-07-15Yes170 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$NoLink
Vincent ArseneauBrampton Battalion (EDM)LW/RW261992-03-26No231 Lbs6 ft2YesNoNo1Pro & Farm500,000$0$0$NoLink
Will PelletierBrampton Battalion (EDM)LW251992-12-14Yes172 Lbs5 ft7YesNoNo2Pro & Farm500,000$0$0$No500,000$Link
Zach TrotmanBrampton Battalion (EDM)D271990-08-26No217 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.42194 Lbs6 ft11.50678,268$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Garrett WilsonSonny MilanoNathan Gerbe40122
2Erik CondraCarter CamperKurtis Gabriel30122
3Colton BeckMichael McLeodJohn McCarron20122
4Garrett WilsonCameron HughesMartin Kaut10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownZach Trotman40122
2Michael KaplaCam Dineen30122
3Jeremy RoyThomas Gregoire20122
4Josh BrownZach Trotman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Garrett WilsonSonny MilanoNathan Gerbe60122
2Erik CondraCarter CamperKurtis Gabriel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownZach Trotman60122
2Michael KaplaCam Dineen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Garrett WilsonSonny Milano60122
2Carter CamperMichael McLeod40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownZach Trotman60122
2Michael KaplaCam Dineen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Garrett Wilson60122Josh BrownZach Trotman60122
2Sonny Milano40122Michael KaplaCam Dineen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Garrett WilsonSonny Milano60122
2Carter CamperMichael McLeod40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownZach Trotman60122
2Michael KaplaCam Dineen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Garrett WilsonSonny MilanoNathan GerbeJosh BrownZach Trotman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Garrett WilsonSonny MilanoNathan GerbeJosh BrownZach Trotman
Extra Forwards
Normal PowerPlayPenalty Kill
Henrik Samuelsson, John McCarron, Cameron HughesHenrik Samuelsson, John McCarronCameron Hughes
Extra Defensemen
Normal PowerPlayPenalty Kill
Jeremy Roy, Thomas Gregoire, Michael KaplaJeremy RoyThomas Gregoire, Michael Kapla
Penalty Shots
Garrett Wilson, Sonny Milano, Carter Camper, Michael McLeod, Nathan Gerbe
Goalie
#1 : Antti Niemi, #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
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,763,496$ 1,763,496$ 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
20168233320744243542411411917040102282121641141503432207212-566435752118710861851531333408891269115053303510502786152525110843.03%29210863.01%16872196544.38%883194145.49%756172243.90%168198317728111509674
2017823927026444253923341249021322141744041151800512211218-77842569111163092168159103229927116510927130149911810144824012150.42%29610265.54%10788186242.32%766185941.20%726162444.70%158787718278281563708
201882235200223342485-14341122600003164238-7441112600220178247-694634259093200891221297288087810079832929951029170715341878444.92%2429660.33%6678164541.22%600155738.54%627155940.22%152879918068241612748
201982244602640416502-8641112301510221254-3341132301130195248-5348416703111920110167133932941086111110813030061001214416082358737.02%24910757.03%5787185142.52%654156841.71%714173141.25%1719102117397811493689
Total Regular Season3281191570111814916181803-185164667507655827878-511645382041294791925-1342381618273643546037764257439127433780455243061831205040718447611591340043.81%107941361.72%373125732342.67%2903692541.92%2823663642.54%651736817146324561772820