IceCaps

GM : Vacancy GM - Lukas Velecky Morale : 48 Team Overall : 57
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# 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
1Oscar LindbergXX99.00745580786975827165454762505252046640
2Andreas Martinsen (R)XXX100.00828165785955676458384060504949037580
3Gemel Smith (R)XX100.00817177665468655767323555504444049550
4Ruslan FedotenkoXX100.00597461625649595569322757508282051530
5Brian O'NeillX100.00694367604953656358393860504648049530
6Yanni GourdeX100.00535659634869655965393652504444049520
7Jordan Samuels-ThomasX100.00597461595666645667313557504444049520
8Emil Molin (R)XXX100.00616570645047575466332758504444049500
9Mark PysykX100.00684281786871767225443873507270049650
10Joel Edmundson (R)X100.00817774797769716925413875505656033640
11Stefan ElliottX100.00654288806867777325424170505252049630
12Paul PostmaX100.00764267725962666925393773505858049600
13Mirco Mueller (R)X100.00639366776361686825383866505959055590
14Dennis RobertsonX100.00587866616266685625262857504646044520
15Julius Bergman (R)X100.00567263605960655525262855504545049500
Scratches
1Garnet HathawayX100.00819356625959656258423861504545040560
2Noel AcciariX39.20784666665552616078393865504545040560
3Buddy RobinsonX100.00668864696069665674303658504444031540
4Erik Karlsson. (R)X100.00586070666159585854323755586060046540
5Joe WhitneyX100.00545859624965626268414155584444046530
6Kyle RauXX100.00596169664956615964333960504444046520
7Anton Blidh (R)XX100.00597360665554605464273356504444046500
TEAM AVERAGE97.1866666868586166615236366151515104656
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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
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Magnus Hellberg100.0075868277677768697079505656051700
2Matt Hackett100.0059716462666863676263506264051630
3Adam Wilcox (R)100.0059706965686864626162505555051620
Scratches
1Eddie Pasquale (R)100.0071738075717570737167515555046680
TEAM AVERAGE100.006675747068726668666850575805066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Torchetti76645771606066USA525100,000$


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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
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Oscar LindbergIceCapsIceCaps (WPG)C/LW4628-1600122391626.09%524.:.4810100050047.52%141253011.6100
2Stefan ElliottIceCapsIceCaps (WPG)D4628-900221172128.57%718.:.580001013100.00%0712012.1100
3Mirco MuellerIceCapsIceCaps (WPG)D4257-35040182625.00%314.:.140000113000.00%023002.4600
4Mark PysykIceCapsIceCaps (WPG)D4527-800731131416.13%1123.:.281120007000.00%0812011.4900
5Joel EdmundsonIceCapsIceCaps (WPG)D3134-36935915336.67%920.:.370000005000.00%025001.2900
6Noel AcciariIceCapsIceCaps (WPG)C3134-7006116129.09%218.:.0201100010044.00%5072001.4800
7Brian O'NeillIceCapsIceCaps (WPG)RW4134-20010731014.29%116.:.520000000000.00%342001.1900
8Paul PostmaIceCapsIceCaps (WPG)D4134-1920214857.14%1119.:.400000000000.00%096001.0200
9Andreas MartinsenIceCapsIceCaps (WPG)C/LW/RW3033-11423066360.00%420.:.04000000300100.00%340001.0000
10Emil MolinIceCapsIceCaps (WPG)C/LW/RW402210032020.00%013.:.3500000000053.85%3901000.7400
11Julius BergmanIceCapsIceCaps (WPG)D4011-40020000.00%109.:.020000000000.00%001000.5500
12Gemel SmithIceCapsIceCaps (WPG)C/LW4011-1000137420.00%119.:.200000111000.00%412000.2600
13Ruslan FedotenkoIceCapsIceCaps (WPG)LW/RW40111121061130.00%014.:.5600000010040.00%501000.3300
14Buddy RobinsonIceCapsIceCaps (WPG)RW4000-7463077330.00%016.:.57000000000100.00%111000.0000
15Garnet HathawayIceCapsIceCaps (WPG)RW4000-8925091040.00%311.:.02000000100100.00%242000.0000
16Dennis RobertsonIceCapsIceCaps (WPG)D4000-2171522000.00%111.:.180000000000.00%003000.0000
17Yanni GourdeIceCapsIceCaps (WPG)LW4000-10010000.00%003.:.490000000000.00%101000.0000
18Jordan Samuels-ThomasIceCapsIceCaps (WPG)LW4000-112021020.00%013.:.5900000010075.00%403000.0000
Team Total or Average69233154-119332210100891577210914.65%59110416.0122423721233361047.83%2537460030.980081321111
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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
Team Total or Average0.0000.0000.000


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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
Player Name POS Age Birthday Rookie Weight Height No Trade Force Waivers Contract Type Current Salary Salary RemainingSalary 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 WilcoxG2225.04.1994Yes201 Lbs6 ft1NoNo2Pro & Farm1,200,000$0$1,200,000$Link
Andreas MartinsenC/LW/RW2612.06.1990Yes220 Lbs6 ft3NoNo1Pro & Farm1,100,000$0$Link
Anton BlidhLW/RW2114.03.1995Yes201 Lbs6 ft0NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Brian O'NeillRW2801.06.1988No170 Lbs5 ft9NoNo1Pro & Farm800,000$0$Link
Buddy RobinsonRW2530.09.1991No235 Lbs6 ft5NoNo1Pro & Farm1,000,000$0$Link
Dennis RobertsonD2524.05.1991No215 Lbs6 ft1NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Eddie PasqualeG2519.11.1990Yes215 Lbs6 ft3NoNo1Pro & Farm500,000$0$Link
Emil MolinC/LW/RW2303.02.1993Yes179 Lbs6 ft0NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Erik Karlsson.LW2228.07.1994Yes170 Lbs6 ft0NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Garnet HathawayRW2422.11.1991No210 Lbs6 ft2NoNo1Pro & Farm1,300,000$0$Link
Gemel SmithC/LW2216.04.1994Yes200 Lbs5 ft10NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Joe WhitneyLW2806.02.1988No170 Lbs5 ft6NoNo1Pro & Farm600,000$0$Link
Joel EdmundsonD2328.06.1993Yes207 Lbs6 ft4NoNo2Pro & Farm1,200,000$0$1,200,000$Link
Jordan Samuels-ThomasLW2628.05.1990No195 Lbs6 ft3NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Julius BergmanD2002.11.1995Yes195 Lbs6 ft1NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Kyle RauC/LW2324.10.1992 23:21:47No179 Lbs5 ft8NoNo2Pro & Farm800,000$0$800,000$Link
Magnus HellbergG2504.04.1991 4:36:38No185 Lbs6 ft5NoNo7Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$Link
Mark PysykD2411.01.1992 4:39:55No192 Lbs6 ft1NoNo2Pro & Farm1,500,000$0$1,500,000$Link
Matt HackettG2607.03.1990No171 Lbs6 ft2NoNo3Pro & Farm800,000$0$800,000$800,000$Link
Mirco MuellerD2123.03.1995 0:20:09Yes205 Lbs6 ft3NoNo2Pro & Farm1,300,000$0$1,300,000$Link
Noel Acciari (Out of Payroll)C2431.03.1992No205 Lbs5 ft11NoNo1Pro & Farm1,500,000$0$Link
Oscar LindbergC/LW2429.10.1991No195 Lbs6 ft1NoNo1Pro & Farm1,400,000$0$Link
Paul PostmaD2722.02.1989No195 Lbs6 ft3NoNo2Pro & Farm1,100,000$0$1,100,000$Link
Ruslan FedotenkoLW/RW3718.01.1979No200 Lbs6 ft1NoNo1Pro & Farm500,000$0$Link
Stefan ElliottD2530.01.1991 5:04:46No190 Lbs6 ft1NoNo1Pro & Farm1,000,000$0$Link
Yanni GourdeLW2415.12.1991No157 Lbs5 ft9NoNo1Pro & Farm1,100,000$0$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.62195 Lbs6 ft13.8461538461538750,000$



5 vs 5 Forward
Line #CenterLeft WingRight WingTime %PHYDFOF
1Oscar LindbergAndreas Martinsen40122
2Gemel Smith30122
3Emil MolinRuslan FedotenkoBrian O'Neill20122
4Oscar LindbergYanni GourdeAndreas Martinsen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel EdmundsonMark Pysyk40122
2Stefan ElliottMirco Mueller30122
3Paul PostmaDennis Robertson20122
4Julius BergmanJoel Edmundson10122
Power Play Forward
Line #CenterLeft WingRight WingTime %PHYDFOF
1Oscar LindbergAndreas Martinsen60122
2Gemel Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel EdmundsonMark Pysyk60122
2Stefan ElliottMirco Mueller40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Oscar LindbergAndreas Martinsen60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel EdmundsonMark Pysyk60122
2Stefan ElliottMirco Mueller40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Oscar Lindberg60122Joel EdmundsonMark Pysyk60122
2Andreas Martinsen40122Stefan ElliottMirco Mueller40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Oscar LindbergAndreas Martinsen60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel EdmundsonMark Pysyk60122
2Stefan ElliottMirco Mueller40122
Last Minutes Offensive
CenterLeft WingRight WingDefenseDefense
Oscar LindbergAndreas MartinsenJoel EdmundsonMark Pysyk
Last Minutes Defensive
CenterLeft WingRight WingDefenseDefense
Oscar LindbergAndreas MartinsenJoel EdmundsonMark Pysyk
Extra Forwards
Normal PowerPlayPenalty Kill
Jordan Samuels-Thomas, Brian O'Neill, Ruslan FedotenkoJordan Samuels-Thomas, Brian O'NeillRuslan Fedotenko
Extra Defensemen
Normal PowerPlayPenalty Kill
Paul Postma, Dennis Robertson, Julius BergmanPaul PostmaDennis Robertson, Julius Bergman
Penalty Shots
Oscar Lindberg, Andreas Martinsen, , , Gemel Smith
Goalie
#1 : , #2 :


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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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1IceCapsPhantoms10100000410-600.0004610001742048585742024751314125.00%3233.33%1408447.62%266341.27%5612146.28%935980306634
2IceCapsCheckers10100000420-1600.00046100017420395857420381011627200.00%3233.33%0408447.62%266341.27%5612146.28%935980306634
3IceCapsFalcons10100000016-1600.000000001742034585742021219127300.00%330.00%0408447.62%266341.27%5612146.28%935980306634
4IceCapsAdmirals.11000000157821.00015193400174203658574203521741611100.00%20100.00%0408447.62%266341.27%5612146.28%935980306634
Vs Division10100000016-1600.000000001742034585742021219127300.00%330.00%0408447.62%266341.27%5612146.28%935980306634
Vs Conference211000001523-820.50015193400174207058574205642165434125.00%5340.00%0408447.62%266341.27%5612146.28%935980306634
Since Last GM Reset413000002353-3020.250233154001742015758574201185933210110220.00%11736.36%1408447.62%266341.27%5612146.28%935980306634
Total413000002353-3020.250233154001742015758574201185933210110220.00%11736.36%1408447.62%266341.27%5612146.28%935980306634

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
42L32331541571185933210100
All Games
GPWLOTWOTL SOWSOLGFGA
41300002353
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000830
Visitor Games
GPWLOTWOTL SOWSOLGFGA
21100001523
Last 10 Games
WLOTWOTL SOWSOL
130000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
10220.00%11736.36%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
585742017420
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
408447.62%266341.27%5612146.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
935980306634


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
DateMatchup Result Detail
Trade Deadline --- Trades can’t be done after this day is simulated!
Tue, Apr 22IceCaps@IceCapsIceCaps15,Admirals.7RECAP
Wed, Apr 23IceCaps@IceCapsIceCaps0,Falcons16RECAP
Sat, Apr 26IceCaps@IceCapsPhantoms10,IceCaps4RECAP
Sun, Apr 27IceCaps@IceCapsCheckers20,IceCaps4RECAP



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
0 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,570,000$ 870,000$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
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