IceHogs

GP: 34 | W: 6 | L: 25 | OTL: 3 | P: 15
GF: 81 | GA: 168 | PP%: 11.83% | PK%: 72.22%
GM : Joanick Boilard | Morale : 50 | Team Overall : 60
Next Games #539 vs Admirals

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
1Dylan Roobroeck0XXX100.008853815997777357625661586062635150610
2Tristan Allard0X100.006840805977728055605756585563654450590
3Riley Fiddler-Schultz0X100.006539875874807057625659555763654450590
4Felix Unger Sorum0X100.006237945971697157615854565560626950580
5Gleb Veremyev0X100.007843735587716054595350575162644450570
6Max McCue0X100.006549505574656853605453565262644950560
7James Stefan0X100.005737945571696853505254515562644550550
8Sawyer Boulton0X100.006651505576606254505253565461634550550
9David Jiricek0X100.007440826587848163306659655062648850660
10Djibril Toure0X100.009058625699636655305453594562644350620
11Zach Metsa0X100.005636926166778360306555564967693750610
12Zachary Hayes0X100.007844695687636855305453584566684250600
13Charlie Wright0X100.006436955773616355305650544562644350570
Scratches
TEAM AVERAGE100.00704378588070705647565557526365505059
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
1Vadim Zherenko100.00738379767271737271737264714850710
2William Rousseau100.00697167766867696867696862674450670
Scratches
1Jordan Papirny100.00597368715857595857595869833650620
TEAM AVERAGE100.0067767174666567666567666574435067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dan Bylsma72777980827768USA5471,000,000$


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
1Dylan RoobroeckIceHogs (Chi)C/LW/RW18313161031550112671711.54%530416.91235958000012066.67%2700001.0500010101
2David JiricekIceHogs (Chi)D1014582011696511.11%516216.2200001000013100.00%000000.6200000100
3Samuel HonzekChicago BlackhawksLW1011000034650.00%02222.5501102000030055.56%900000.8900000000
Team Total or Average294182218335612039192710.26%1048916.862469610000193063.89%3600000.9000010201
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
Team Total or Average0.0000.0000.000


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 Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Charlie WrightD222003-10-22No179 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
David JiricekD222003-11-28No204 Lbs6 ft4NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Djibril ToureD222003-06-05No217 Lbs6 ft7NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Dylan RoobroeckC/LW/RW212004-07-27No207 Lbs6 ft7NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Felix Unger SorumRW202005-09-14No184 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Gleb VeremyevC222003-06-28No205 Lbs6 ft4NoNoNo2ELCPro & Farm300,000$0$0$NoLink
James StefanRW222003-08-09No183 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Jordan PapirnyG291996-04-10No169 Lbs6 ft1NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Max McCueC222003-02-10No182 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Riley Fiddler-SchultzC232002-05-13No200 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Sawyer BoultonRW212004-07-12No209 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Tristan AllardC232002-06-23No200 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Vadim ZherenkoG242001-03-15No176 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
William RousseauG232003-01-09No193 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Zach MetsaD271998-10-19No181 Lbs5 ft9NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Zachary HayesD261999-04-24No219 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1623.06194 Lbs6 ft22.38350,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3415L481158239959155847333563800
All Games
GPWLOTWOTL SOWSOLGFGA
34625010281168
Home Games
GPWLOTWOTL SOWSOLGFGA
144900013765
Visitor Games
GPWLOTWOTL SOWSOLGFGA
20216010144103
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
931111.83%1263572.22%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
321333299103527190
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
30480137.95%385120931.84%17254231.73%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
5183521168243363145


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
9 - 2025-08-2319Griffins7IceHogs2LBoxScore
15 - 2025-08-2938Admirals7IceHogs1LBoxScore
16 - 2025-08-3049IceHogs1Admirals7LBoxScore
23 - 2025-09-0683IceHogs1Moose5LBoxScore
24 - 2025-09-0795IceHogs3Moose5LBoxScore
29 - 2025-09-12115IceHogs4Griffins5LXBoxScore
30 - 2025-09-13130Wolves7IceHogs3LBoxScore
36 - 2025-09-19154Griffins5IceHogs4LXXBoxScore
37 - 2025-09-20164Wild1IceHogs6WBoxScore
41 - 2025-09-24182IceHogs2Griffins9LBoxScore
43 - 2025-09-26196Moose6IceHogs3LBoxScore
45 - 2025-09-28218IceHogs1Wolves4LBoxScore
47 - 2025-09-30222Stars3IceHogs1LBoxScore
50 - 2025-10-03236IceHogs0Stars3LBoxScore
51 - 2025-10-04250IceHogs2Stars6LBoxScore
57 - 2025-10-10275Wolves7IceHogs0LBoxScore
58 - 2025-10-11285IceHogs3Admirals6LBoxScore
59 - 2025-10-12297IceHogs0Wolves6LBoxScore
62 - 2025-10-15303IceHogs0Phantoms5LBoxScore
64 - 2025-10-17308IceHogs4Wolfpack5LBoxScore
65 - 2025-10-18326IceHogs0Thunderbirds5LBoxScore
69 - 2025-10-22348IceHogs4Wild6LBoxScore
72 - 2025-10-25368Wild1IceHogs2WBoxScore
73 - 2025-10-26378Admirals7IceHogs2LBoxScore
75 - 2025-10-28385IceHogs5Wild3WBoxScore
78 - 2025-10-31403IceHogs5Moose3WBoxScore
80 - 2025-11-02423IceHogs4Moose5LXXBoxScore
85 - 2025-11-07435Wild4IceHogs5WBoxScore
86 - 2025-11-08445IceHogs3Wild4LBoxScore
89 - 2025-11-11462Wild3IceHogs6WBoxScore
93 - 2025-11-15489IceHogs1Wolves7LBoxScore
94 - 2025-11-16496IceHogs1Wolves4LBoxScore
97 - 2025-11-19505Stars4IceHogs2LBoxScore
100 - 2025-11-22530Stars3IceHogs0LBoxScore
101 - 2025-11-23539Admirals-IceHogs-
106 - 2025-11-28564IceHogs-Wild-
107 - 2025-11-29570IceHogs-Wild-
111 - 2025-12-03596IceHogs-Admirals-
114 - 2025-12-06622Wolves-IceHogs-
118 - 2025-12-10637IceHogs-Griffins-
120 - 2025-12-12654Wolves-IceHogs-
121 - 2025-12-13670Admirals-IceHogs-
127 - 2025-12-19684IceHogs-Stars-
128 - 2025-12-20700IceHogs-Stars-
131 - 2025-12-23708Admirals-IceHogs-
134 - 2025-12-26727Wolves-IceHogs-
135 - 2025-12-27737Thunderbirds-IceHogs-
137 - 2025-12-29757IceHogs-Wild-
141 - 2026-01-02775Wild-IceHogs-
142 - 2026-01-03786Phantoms-IceHogs-
143 - 2026-01-04797IceHogs-Wolves-
148 - 2026-01-09821IceHogs-Roadrunners-
149 - 2026-01-10838IceHogs-Roadrunners-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16865Wild-IceHogs-
156 - 2026-01-17879Stars-IceHogs-
162 - 2026-01-23908Wolfpack-IceHogs-
163 - 2026-01-24919Griffins-IceHogs-
164 - 2026-01-25928IceHogs-Admirals-
167 - 2026-01-28941Moose-IceHogs-
169 - 2026-01-30948IceHogs-Griffins-
170 - 2026-01-31968IceHogs-Griffins-
173 - 2026-02-03981Wolves-IceHogs-
176 - 2026-02-06997Moose-IceHogs-
177 - 2026-02-071012Moose-IceHogs-
183 - 2026-02-131043IceHogs-Griffins-
184 - 2026-02-141058Griffins-IceHogs-
190 - 2026-02-201086Roadrunners-IceHogs-
191 - 2026-02-211101Roadrunners-IceHogs-
192 - 2026-02-221110IceHogs-Admirals-
195 - 2026-02-251118Griffins-IceHogs-
197 - 2026-02-271132Griffins-IceHogs-
198 - 2026-02-281146IceHogs-Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance25,87813,117
Attendance PCT92.42%93.69%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
22 2785 - 92.85% 69,299$970,188$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
532,540$ 56,000$ 56,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 32,540$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,524,581$ 100 5,280$ 528,000$




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
12824232050212682155341201802010135107284122140301113310825992684697370501117575228107427168082178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
1376264201502175232-573815200020189107-183811220130186125-396117529747213064515917770559583626209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
147666501112119398-279385320010060193-133381330101259205-1461911920332211045413116730554527580316292569213012612810.73%3118672.35%0462178925.82%651249026.14%295116125.41%11797852587555816324
147666501112119398-279385320010060193-133381330101259205-1461911920332211045413116730554527580316292569213012612810.73%3118672.35%0462178925.82%651249026.14%295116125.41%11797852587555816324
147666501112119398-279385320010060193-133381330101259205-1461911920332211045413116730554527580316292569213012612810.73%3118672.35%0462178925.82%651249026.14%295116125.41%11797852587555816324
158267201300157453-296413360110074221-147413360020083232-14917157290447000525648205106377146953569104576715283583810.61%33110867.37%1626215829.01%711266226.71%365130627.95%13589182692581878361
158267201300157453-296413360110074221-147413360020083232-14917157290447000525648205106377146953569104576715283583810.61%33110867.37%1626215829.01%711266226.71%365130627.95%13589182692581878361
168257402001151507-356414350100188254-166411390100063253-1901515129644700052484919790644673649399411697091389311319.97%3269969.63%1572190230.07%905289931.22%392133229.43%11467502930588854324
177286100300130406-276365300010072208-136363310020058198-1401913025138100046463817960629557605347499960913282442811.48%2727672.06%1556167933.11%797262030.42%356113231.45%10196682548519756289
187275504303176417-241363270230192216-124364280200284201-11728176339515000695152201306726376783702106363113502764215.22%2756676.00%2663173838.15%947262136.13%467120738.69%11037402486502755306
1970174803200208381-17335112102100111181-70356270110097200-1034220840761520078695825560791864888345893165314932482811.29%2486175.40%1907205744.09%974250338.91%503117442.84%12839002170489756328
20346250010281168-871449000013765-28202160010144103-591581158239003527190959321333299101558473335638931111.83%1263572.22%030480137.95%385120931.84%17254231.73%5183521168243363145
Total Regular Season8801416760202351518604426-2566437833280912149522159-120744358348011114119082267-135937018603406526661135686594520224823217306733873943708710653879516516360046212.83%378197374.27%1077832237434.79%94932959432.08%45851379433.24%151101025828340631195544014
Playoff
1140400000818-102020000049-52020000049-508132100052196032293511825668240615.00%28775.00%06514046.43%5414736.73%276442.19%9061103314521
1240400000624-1820200000610-420200000014-1406111700022288030322614331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
Total Playoff808000001442-28404000001019-940400000423-19014243800074318406261612615610616057814.04%481372.92%011726344.49%8826633.08%5413141.22%173117218588942