IceHogs

GM : Daniel Dusek Morale : 50 Team Overall : 57
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
1Teuvo TeravainenXXX100.00604189866082876962474665505758047640
2Sven BaertschiXX100.00624184826377797162454860505960051630
3Josh JoorisXX100.00675465746174696665424170905859051610
4Seth Griffith (A)X100.00586760705167686579444264594646055570
5Riley Barber (R)X100.00817077685459616275384162574444051570
6Max FribergXX100.00787276725567645973363558504444051560
7Byron FroeseX100.00594367765459676380323970505050051560
8Scott WilsonXX100.00819566645254636360394458504647048560
9Tyler BrownXX100.00716974625361625465303059504444053520
10Shawn O'DonnellX100.00567657665854615264262851504444055490
11Derek DeBloisX100.00576759645149595259273153504444051480
12Nikita ZadorovX100.00794782849475847125403872506057047680
13Korbinian HolzerX100.00794585737369636625403773506262051620
14Victor BartleyX100.00777364765962665625393771505859052590
15Jordan Subban (R)X100.00556261685561656725373354505555052540
16Andrew MacWilliamX100.00597866716269715625292658504945047540
17Kevin GravelX100.00567263615966686325323357504646049530
18Mackenzie Weegar (R)X100.00566762655664676325333155504545051520
19Zach Leslie (R)X100.00586567695657635625292657504646051510
Scratches
1Austin Carroll (R)XX79.13647863645952605466303158504444035510
2T.J. TynanX100.00545859624971665967403152504444051510
3Daniel MaggioXX100.00537656625758615257272847504444035480
TEAM AVERAGE99.0565646870596467615236356053504904956
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
1Dustin Tokarski97.0062686678617763717168477066091660
2Eric Comrie (R)100.0069736373706866696365495656051650
Scratches
1Pheonix Copley100.0066737472677165696764475555049650
2Stephon Williams100.0059716864657063666262475555046620
TEAM AVERAGE99.256471687266726469666548595805965
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen57694860505046CAN525100,000$


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 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
1Sven BaertschiIceHogsIceHogs (CHI)LW/RW4941372041551160.00%120.:.4600001190152.00%25181013.1300
2Teuvo TeravainenIceHogsIceHogs (CHI)C/LW/RW34610800386850.00%023.:.10000101121050.00%7051012.8800
3Korbinian HolzerIceHogsIceHogs (CHI)D4088100065250.00%1225.:.1300000010000.00%028001.5900
4Josh JoorisIceHogsIceHogs (CHI)C/RW45381060101381438.46%418.:.3200000030046.15%2693012.1600
5Scott WilsonIceHogsIceHogs (CHI)C/LW45166453561121245.45%111.:.4000000001050.00%2270012.5700
6Nikita ZadorovIceHogsIceHogs (CHI)D32359009105320.00%1227.:.0600000011000.00%073001.2300
7Byron FroeseIceHogsIceHogs (CHI)C43144008104730.00%014.:.4800000000038.46%13120001.3500
8Mackenzie WeegarIceHogsIceHogs (CHI)D404462021140.00%212.:.500000000000.00%011001.5600
9Jordan SubbanIceHogsIceHogs (CHI)D403345552110.00%422.:.030000117000.00%012000.6800
10Victor BartleyIceHogsIceHogs (CHI)D40331191595430.00%620.:.460000005000.00%068000.7200
11Riley BarberIceHogsIceHogs (CHI)RW4022300114380.00%112.:.49000000000100.00%122000.7800
12T.J. TynanIceHogsIceHogs (CHI)C302220011210.00%209.:.5500000000041.18%1730001.3400
13Seth GriffithIceHogsIceHogs (CHI)RW410121010855420.00%317.:.4900000030125.00%840000.2800
14Derek DeBloisIceHogsIceHogs (CHI)RW401130041010.00%111.:.57000000000100.00%111000.4200
15Max FribergIceHogsIceHogs (CHI)LW/RW4101100860216.67%314.:.2300000010055.56%951000.3500
16Tyler BrownIceHogsIceHogs (CHI)C/LW201190012010.00%014.:.1000000000066.67%610000.7100
17Austin CarrollIceHogsIceHogs (CHI)LW/RW100000010100.00%013.:.520000000000.00%000000.0000
18Daniel MaggioIceHogsIceHogs (CHI)RW/D2000-1321010000.00%111.:.1600000000050.00%200000.0000
19Andrew MacWilliamIceHogsIceHogs (CHI)D100012023020.00%017.:.530000000000.00%010000.0000
20Zach LeslieIceHogsIceHogs (CHI)D400072003000.00%610.:.240000000000.00%013000.0000
21Kevin GravelIceHogsIceHogs (CHI)D30000101031010.00%210.:.410000001000.00%014000.0000
22Shawn O'DonnellIceHogsIceHogs (CHI)RW40001121021010.00%006.:.570000000000.00%100000.0000
Team Total or Average74304272931479510495107498928.04%61117915.940000341234702248.26%2018738041.2200559222
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
1Pheonix CopleyIceHogsIceHogs (CHI)110092.6%2.00600022721100.0%011000
2Dustin TokarskiIceHogsIceHogs (CHI)312092.4%3.0217900911876000.0%030001
Team Total or Average42200.9242.76239001114597100.000041001


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 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
Andrew MacWilliamD2625.03.1990No214 Lbs6 ft2NoNo2Pro & Farm600,000$0$600,000$Link
Austin Carroll (Out of Payroll)LW/RW2225.03.1994Yes205 Lbs6 ft4NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Byron FroeseC2512.03.1991 23:50:19No190 Lbs6 ft0NoNo1Pro & Farm1,100,000$0$Link
Daniel MaggioRW/D2503.03.1991No202 Lbs6 ft3NoNo1Pro & Farm1,100,000$0$Link
Derek DeBloisRW2519.02.1991No187 Lbs5 ft11NoNo1Pro & Farm1,100,000$0$Link
Dustin TokarskiG2716.09.1989No195 Lbs5 ft11NoNo3Pro & Farm900,000$0$900,000$900,000$Link
Eric ComrieG2106.07.1995Yes167 Lbs6 ft1NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Jordan SubbanD2103.03.1995 17:00:24Yes175 Lbs5 ft9NoNo9Pro & Farm100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Josh JoorisC/RW2614.07.1990No180 Lbs6 ft0NoNo1Pro & Farm1,300,000$0$Link
Kevin GravelD2406.03.1992No185 Lbs6 ft4NoNo1Pro & Farm1,000,000$0$Link
Korbinian HolzerD2816.02.1988No205 Lbs6 ft3NoNo1Pro & Farm800,000$0$Link
Mackenzie WeegarD2202.01.1994Yes183 Lbs6 ft0NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Max FribergLW/RW2320.11.1992 8:25:28No200 Lbs5 ft11NoNo2Pro & Farm800,000$0$800,000$Link
Nikita ZadorovD2116.04.1995 1:50:52No220 Lbs6 ft5NoNo1Pro & Farm1,000,000$0$Link
Pheonix CopleyG2418.01.1992 15:45:01No196 Lbs6 ft4NoNo9Pro & Farm100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Riley BarberRW2207.02.1994Yes194 Lbs6 ft0NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Scott WilsonC/LW2424.04.1992No183 Lbs5 ft11NoNo1Pro & Farm1,100,000$0$Link
Seth GriffithRW2304.01.1993No192 Lbs5 ft9NoNo1Pro & Farm1,200,000$0$Link
Shawn O'DonnellRW2828.05.1988No209 Lbs6 ft2NoNo1Pro & Farm1,100,000$0$Link
Stephon WilliamsG2328.04.1993No190 Lbs6 ft2NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Sven BaertschiLW/RW2405.10.1992 23:55:02No190 Lbs5 ft11NoNo1Pro & Farm1,200,000$0$Link
T.J. TynanC2425.02.1992No165 Lbs5 ft8NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Teuvo TeravainenC/LW/RW2211.09.1994No178 Lbs5 ft11NoNo2Pro & Farm1,300,000$0$1,300,000$Link
Tyler BrownC/LW2607.02.1990No185 Lbs6 ft1NoNo2Pro & Farm600,000$0$600,000$Link
Victor BartleyD2817.02.1988No203 Lbs6 ft0NoNo1Pro & Farm1,200,000$0$Link
Zach LeslieD2230.01.1994Yes175 Lbs6 ft0NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.08191 Lbs6 ft14.1153846153846703,846$



5 vs 5 Forward
Line #CenterLeft WingRight WingTime %PHYDFOF
1Teuvo TeravainenSven BaertschiSeth Griffith40122
2Tyler BrownAndrew MacWilliamJosh Jooris30122
3Byron FroeseMax FribergDerek DeBlois20122
4Scott WilsonRiley BarberShawn O'Donnell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovKorbinian Holzer45122
2Victor BartleyJordan Subban40122
3Zach LeslieMackenzie Weegar15122
4Nikita ZadorovKorbinian Holzer0122
Power Play Forward
Line #CenterLeft WingRight WingTime %PHYDFOF
1Teuvo TeravainenSven BaertschiSeth Griffith60122
2Josh JoorisMax FribergRiley Barber40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovKorbinian Holzer60122
2Victor BartleyJordan Subban40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Teuvo TeravainenSven Baertschi60122
2Josh JoorisSeth Griffith40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovKorbinian Holzer60122
2Victor BartleyJordan Subban40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Teuvo Teravainen60122Nikita ZadorovKorbinian Holzer60122
2Sven Baertschi40122Victor BartleyJordan Subban40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Teuvo TeravainenSeth Griffith60122
2Josh JoorisMax Friberg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikita ZadorovKorbinian Holzer60122
2Victor BartleyJordan Subban40122
Last Minutes Offensive
CenterLeft WingRight WingDefenseDefense
Teuvo TeravainenSven BaertschiSeth GriffithNikita ZadorovKorbinian Holzer
Last Minutes Defensive
CenterLeft WingRight WingDefenseDefense
Josh JoorisSven BaertschiSeth GriffithNikita ZadorovKorbinian Holzer
Extra Forwards
Normal PowerPlayPenalty Kill
Byron Froese, Teuvo Teravainen, Sven BaertschiByron Froese, Teuvo TeravainenJosh Jooris
Extra Defensemen
Normal PowerPlayPenalty Kill
Victor Bartley, Nikita Zadorov, Korbinian HolzerVictor BartleyVictor Bartley, Nikita Zadorov
Penalty Shots
Teuvo Teravainen, Josh Jooris, Seth Griffith, Riley Barber, Sven Baertschi
Goalie
#1 : Dustin Tokarski, #2 : Eric Comrie


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
# 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
1IceHogsBears1010000015-400.0001120010164022324728038201224100.00%10100.00%0265448.15%347943.04%376854.41%835190316534
2IceHogsMarlies1100000082621.00081220001016402832472802793731000.00%10100.00%1265448.15%347943.04%376854.41%835190316534
3IceHogsAdmirals1010000012-100.0001120010164023324728039146026200.00%50100.00%0265448.15%347943.04%376854.41%835190316534
4IceHogsHeat110000002021821.0002028480010164034324728041183823300.00%40100.00%0265448.15%347943.04%376854.41%835190316534
Vs Division110000002021821.0002028480010164034324728041183823300.00%40100.00%0265448.15%347943.04%376854.41%835190316534
Vs Conference110000002021821.0002028480010164034324728041183823300.00%40100.00%0265448.15%347943.04%376854.41%835190316534
Since Last GM Reset4220000030111940.50030427200101640107324728014561147104600.00%110100.00%1265448.15%347943.04%376854.41%835190316534
Total4220000030111940.50030427200101640107324728014561147104600.00%110100.00%1265448.15%347943.04%376854.41%835190316534

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
44W23042721071456114710400
All Games
GPWLOTWOTL SOWSOLGFGA
42200003011
Home Games
GPWLOTWOTL SOWSOLGFGA
202000027
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2200000284
Last 10 Games
WLOTWOTL SOWSOL
220000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
600.00%110100.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3247280101640
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
265448.15%347943.04%376854.41%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
835190316534


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!
Sun, Apr 20IceHogs@IceHogsBears5,IceHogs1RECAP
Mon, Apr 21IceHogs@IceHogsAdmirals2,IceHogs1RECAP
Thu, Apr 24IceHogs@IceHogsIceHogs20,Heat2RECAP
Fri, Apr 25IceHogs@IceHogsIceHogs8,Marlies2RECAP



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
1,820,000$ 500,000$ 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