Out of Date Version of the STHS! Please update your version!
Login

IceHogs
GP: 82 | W: 37 | L: 37 | OTL: 8 | P: 82
GF: 424 | GA: 421 | PP%: 22.87% | PK%: 71.36%
GM : M-O O | Morale : 50 | Team Overall : 54
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Americans
40-39-3, 83pts
6
FINAL
8 IceHogs
37-37-8, 82pts
Team Stats
W1StreakL1
23-17-1Home Record17-21-3
17-22-2Away Record20-16-5
3-6-1Last 10 Games4-6-0
5.13Goals Per Game5.17
5.01Goals Against Per Game5.13
26.60%Power Play Percentage22.87%
76.13%Penalty Kill Percentage71.36%
Americans
40-39-3, 83pts
7
FINAL
5 IceHogs
37-37-8, 82pts
Team Stats
W1StreakL1
23-17-1Home Record17-21-3
17-22-2Away Record20-16-5
3-6-1Last 10 Games4-6-0
5.13Goals Per Game5.17
5.01Goals Against Per Game5.13
26.60%Power Play Percentage22.87%
76.13%Penalty Kill Percentage71.36%
Team Leaders
Skyler McKenzieGoals
Skyler McKenzie
86
Skyler McKenzieAssists
Skyler McKenzie
102
Skyler McKenziePoints
Skyler McKenzie
188
Skyler McKenziePlus/Minus
Skyler McKenzie
76

Team Stats
Goals For
424
5.17 GFG
Shots For
3162
38.56 Avg
Power Play Percentage
22.9%
59 GF
Offensive Zone Start
39.5%
Goals Against
421
5.13 GAA
Shots Against
2526
30.80 Avg
Penalty Kill Percentage
71.4%%
63 GA
Defensive Zone Start
32.8%
Team Info

General ManagerM-O O
CoachD.J. Smith
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,884
Season Tickets0


Roster Info

Pro Team7
Farm Team23
Contract Limit30 / 50
Prospects50


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 SPAgeContractSalary
1Kiefer SherwoodXX100.007643997267527363255959662555566450610282800,000$
2Carsen Twarynski (R)X100.007973936373576050504846634445455550550251775,833$
3Skyler McKenzieX100.006554906654626554504657575444445850550251750,000$
4Matej Pekar (R)XX100.006969686569545747594246574444445150520232913,333$
5Mitch Vande Sompel (R)X100.005555555555555555555555555555555550540261935,833$
6Ville PokkaX100.005555555555555555555555555555555550540291750,000$
Scratches
TEAM AVERAGE100.00675877636256615449515359465050565055
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 SPAgeContractSalary
Scratches
1Kaden Fulcher (R)100.004442538045444549454545444445504902400$
TEAM AVERAGE100.0044425380454445494545454444455049
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
D.J. Smith88808281656082CAN4421,500,000$


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
1Marc McLaughlinBlackhawksC82104962008470019919362316946716.69%72144217.592113349013911261147260.70%1654000132.7700000151010
2Skyler McKenzieIceHogs (CHI)LW8286102188762354416954810839915.69%52131916.091222347414300034211270.45%132001112.85000019119
3Glenn GawdinBlackhawksC8110037137-957524732559117839916.92%137184922.83155207521500011356172.41%1921000101.48110011079
4Carsen TwarynskiIceHogs (CHI)LW82702191-46701025916543311528116.17%119138916.943141647000069267.14%14000041.3100110476
5Ville PokkaIceHogs (CHI)D8214738717104019584107397313.08%75120114.6521371700005210.00%000001.4500000017
6Alex BiegaBlackhawksD43314172932051122271313.64%2587320.31066101312023150000.00%000000.3900000001
7Jake LeschyshynBlackhawksC12481238011153032313.33%018515.481234330000110071.58%18300001.2901000010
8Brian LashoffBlackhawksD2000000611000.00%02512.530000000002000.00%000000.00%00000000
Team Total or Average4663813517321543642010129642355619165516.18%480828517.7854501042767283141346935867.32%4030001381.7712112383742
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 RemainingSalary 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
Carsen TwarynskiIceHogs (CHI)LW251997-11-24Yes198 Lbs6 ft2NoNoNo1Pro & Farm775,833$0$0$NoLink / NHL Link
Kaden FulcherIceHogs (CHI)G241998-09-23Yes201 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLink
Kiefer SherwoodIceHogs (CHI)LW/RW281995-03-31No180 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Link / NHL Link
Matej PekarIceHogs (CHI)C/LW232000-02-10Yes185 Lbs6 ft1NoNoNo2Pro & Farm913,333$0$0$No913,333$Link
Mitch Vande SompelIceHogs (CHI)D261997-02-11 10:37:52 AMYes198 Lbs5 ft11NoNoNo1Pro & Farm935,833$0$0$No
Skyler McKenzieIceHogs (CHI)LW251998-01-20No154 Lbs5 ft8NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Ville PokkaIceHogs (CHI)D291994-06-03 10:45:39 AMNo214 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
725.71190 Lbs6 ft01.14703,571$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Skyler McKenzie30122
3Carsen Twarynski20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Ville Pokka30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Skyler McKenzie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ville Pokka40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Skyler McKenzie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ville Pokka40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Ville Pokka40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Skyler McKenzie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ville Pokka40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Carsen Twarynski, Skyler McKenzie, Carsen Twarynski, Skyler McKenzie
Extra Defensemen
Normal PowerPlayPenalty Kill
Ville Pokka, , Ville Pokka,
Penalty Shots
, , , Skyler McKenzie, Carsen Twarynski
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , Skyler McKenzie, Carsen Twarynski, , , , , ,
Custom OT Lines Defensemen
, , Ville Pokka, ,


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
1 Americans43100000302372110000013130220000001710760.750304474001861389741631065102410561914245168313430.77%8537.50%01291219858.74%1033182656.57%883153657.49%198915212078496874425
2Admirals420001102318521000010139421000100109170.875233659001861389741981065102410561913728188011654.55%11190.91%01291219858.74%1033182656.57%883153657.49%198915212078496874425
3Barracudas22000000209111100000011471100000095441.00020284800186138974160106510241056194010238500.00%110.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
4Bears22000000186121100000083511000000103741.0001830480018613897411110651024105619521810412150.00%50100.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
5Bruins20100100611-51010000026-41000010045-110.250671300186138974521065102410561942171425700.00%6266.67%01291219858.74%1033182656.57%883153657.49%198915212078496874425
6Canucks20100100811-31010000035-21000010056-110.2508101800186138974421065102410561945288177228.57%30100.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
7Checkers20200000817-91010000078-11010000019-800.0008132100186138974521065102410561953158344375.00%4250.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
8Comets311010001614210001000541211000001110140.6671625410018613897474106510241056196815223411218.18%10280.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
9Condors20200000311-81010000027-51010000014-300.000347001861389743410651024105619531816288112.50%7357.14%01291219858.74%1033182656.57%883153657.49%198915212078496874425
10Crunch310002001112-12000020057-21100000065140.6671115260018613897478106510241056199734144017635.29%7271.43%01291219858.74%1033182656.57%883153657.49%198915212078496874425
11Eagles20200000313-101010000015-41010000028-600.000347001861389744810651024105619761523226116.67%8187.50%01291219858.74%1033182656.57%883153657.49%198915212078496874425
12Firebirds4300010027918210001001266220000001531270.87527396601186138974226106510241056191001916777114.29%8275.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
13Griffins20200000412-81010000036-31010000016-500.0004610001861389744610651024105619541318371417.14%7185.71%01291219858.74%1033182656.57%883153657.49%198915212078496874425
14Gulls211000001012-21010000048-41100000064220.50010172700186138974831065102410561955206425120.00%30100.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
15Heat20200000516-111010000046-210100000110-900.0005611001861389747110651024105619682333315120.00%14657.14%01291219858.74%1033182656.57%883153657.49%198915212078496874425
16Marlies2110000059-4110000004311010000016-520.50056110018613897424106510241056196122102010220.00%5180.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
17Monsters20200000415-111010000027-51010000028-600.0004590018613897445106510241056197621124114214.29%7357.14%01291219858.74%1033182656.57%883153657.49%198915212078496874425
18Moose404000001226-1420200000913-420200000313-1000.0001219310018613897485106510241056191634543481119.09%17476.47%01291219858.74%1033182656.57%883153657.49%198915212078496874425
19Penguins201001001114-31010000068-21000010056-110.25011172800186138974891065102410561969188453266.67%4325.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
20Phantoms202000001217-51010000068-21010000069-300.0001218300018613897468106510241056191102412315360.00%6183.33%01291219858.74%1033182656.57%883153657.49%198915212078496874425
21Rampage 44000000418332200000023221220000001861281.00041591000118613897428010651024105619882814788450.00%7185.71%01291219858.74%1033182656.57%883153657.49%198915212078496874425
22Reign20200000514-91010000028-61010000036-300.000571200186138974561065102410561979241033300.00%5180.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
23Roadrunners2200000016610110000009361100000073441.0001624400018613897416310651024105619348458400.00%10100.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
24Rocket30300000720-132020000049-510100000311-800.000781500186138974731065102410561912932275516318.75%11554.55%01291219858.74%1033182656.57%883153657.49%198915212078496874425
25Senators3200100017981100000062421001000117461.0001726430018613897497106510241056198325163116425.00%8187.50%01291219858.74%1033182656.57%883153657.49%198915212078496874425
26Sound Tigers220000001688110000008531100000083541.000162440001861389741041065102410561958152041500.00%80100.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
27Stars44000000351322220000001851322000000178981.000355691001861389742661065102410561990212082700.00%80100.00%21291219858.74%1033182656.57%883153657.49%198915212078496874425
28Thunderbirds20100100617-1110100000010-101000010067-110.2506101600186138974461065102410561974201628700.00%8450.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
29Wild413000002329-620200000914-5211000001415-120.250233558001861389741251065102410561916448166115533.33%8450.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
30Wolf Pack22000000144101100000010281100000042241.0001422360018613897413110651024105619601610372150.00%5340.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
31Wolves41300000818-102110000059-42020000039-620.2508132100186138974721065102410561910625373910220.00%10460.00%01291219858.74%1033182656.57%883153657.49%198915212078496874425
Total82343702810424421341152101310214205941191601500210216-6820.500424633105702186138974316210651024105619252671049913572585922.87%2206371.36%21291219858.74%1033182656.57%883153657.49%198915212078496874425
_Since Last GM Reset82343702810424421341152101310214205941191601500210216-6820.500424633105702186138974316210651024105619252671049913572585922.87%2206371.36%21291219858.74%1033182656.57%883153657.49%198915212078496874425
_Vs Conference46232000210261225362310110011013511223231390010012611313500.5432613916520218613897420301065102410561913953772748001182722.88%1163371.55%21291219858.74%1033182656.57%883153657.49%198915212078496874425
_Vs Division2418110021015311340128600110825131121050010071629400.83315323338601186138974116510651024105619752193138429621727.42%601181.67%21291219858.74%1033182656.57%883153657.49%198915212078496874425

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8282L1424633105731622526710499135702
All Games
GPWLOTWOTL SOWSOLGFGA
8234372810424421
Home Games
GPWLOTWOTL SOWSOLGFGA
4115211310214205
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4119161500210216
Last 10 Games
WLOTWOTL SOWSOL
361000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2585922.87%2206371.36%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
10651024105619186138974
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1291219858.74%1033182656.57%883153657.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
198915212078496874425


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 - 2023-03-2313Rampage 0IceHogs12BWBoxScore
4 - 2023-03-2534Rocket4IceHogs1BLBoxScore
6 - 2023-03-2753IceHogs6Firebirds0AWBoxScore
7 - 2023-03-2857IceHogs5Comets3AWBoxScore
10 - 2023-03-3180Crunch2IceHogs1BLXBoxScore
12 - 2023-04-0296IceHogs8Rampage 2AWBoxScore
13 - 2023-04-03107Wolves2IceHogs4BWBoxScore
16 - 2023-04-06128IceHogs2Wolves6ALBoxScore
17 - 2023-04-07139Admirals4IceHogs5BWXXBoxScore
19 - 2023-04-09163Wild8IceHogs7BLBoxScore
21 - 2023-04-11177IceHogs9Stars5AWBoxScore
23 - 2023-04-13195Firebirds3IceHogs10BWBoxScore
25 - 2023-04-15208IceHogs0Moose4ALBoxScore
27 - 2023-04-17226Stars3IceHogs8BWBoxScore
28 - 2023-04-18234IceHogs6Wild9ALBoxScore
30 - 2023-04-20250IceHogs5Admirals3AWBoxScore
32 - 2023-04-22264IceHogs3Reign6ALBoxScore
33 - 2023-04-23280Comets4IceHogs5BWXBoxScore
36 - 2023-04-26301Admirals5IceHogs8BWBoxScore
38 - 2023-04-28318IceHogs9Firebirds3AWBoxScore
40 - 2023-04-30333Rocket5IceHogs3BLBoxScore
42 - 2023-05-02349IceHogs4Wolf Pack2AWBoxScore
44 - 2023-05-04362IceHogs8Wild6AWBoxScore
46 - 2023-05-06375Bruins6IceHogs2BLBoxScore
48 - 2023-05-08395Reign8IceHogs2BLBoxScore
50 - 2023-05-10409IceHogs6Phantoms9ALBoxScore
52 - 2023-05-12424IceHogs1Marlies6ALBoxScore
53 - 2023-05-13437Rampage 2IceHogs11BWBoxScore
56 - 2023-05-16456IceHogs1Griffins6ALBoxScore
57 - 2023-05-17472Phantoms8IceHogs6BLBoxScore
60 - 2023-05-20490Crunch5IceHogs4BLXBoxScore
62 - 2023-05-22510IceHogs2Eagles8ALBoxScore
64 - 2023-05-24523Senators2IceHogs6BWBoxScore
66 - 2023-05-26543IceHogs5Penguins6ALXBoxScore
68 - 2023-05-28554Wolf Pack2IceHogs10BWBoxScore
70 - 2023-05-30573IceHogs1Checkers9ALBoxScore
72 - 2023-06-01587Barracudas4IceHogs11BWBoxScore
74 - 2023-06-03604IceHogs9Barracudas5AWBoxScore
76 - 2023-06-05619Gulls8IceHogs4BLBoxScore
77 - 2023-06-06631IceHogs6Gulls4AWBoxScore
79 - 2023-06-08649IceHogs5Admirals6ALXBoxScore
80 - 2023-06-09661Marlies3IceHogs4BWBoxScore
83 - 2023-06-12684Sound Tigers5IceHogs8BWBoxScore
85 - 2023-06-14700IceHogs1Wolves3ALBoxScore
87 - 2023-06-16715Penguins8IceHogs6BLBoxScore
91 - 2023-06-20741IceHogs3Rocket11ALBoxScore
92 - 2023-06-21749Checkers8IceHogs7BLBoxScore
95 - 2023-06-24772Thunderbirds10IceHogs0BLBoxScore
97 - 2023-06-26785IceHogs8Sound Tigers3AWBoxScore
99 - 2023-06-28804IceHogs8 Americans6AWBoxScore
101 - 2023-06-30813Bears3IceHogs8BWBoxScore
103 - 2023-07-02833IceHogs9 Americans4AWBoxScore
104 - 2023-07-03842Wolves7IceHogs1BLBoxScore
107 - 2023-07-06864IceHogs4Bruins5ALXBoxScore
108 - 2023-07-07877IceHogs10Bears3AWBoxScore
109 - 2023-07-08884Griffins6IceHogs3BLBoxScore
112 - 2023-07-11905IceHogs5Canucks6ALXBoxScore
113 - 2023-07-12914IceHogs6Crunch5AWBoxScore
114 - 2023-07-13924Heat6IceHogs4BLBoxScore
117 - 2023-07-16946Firebirds3IceHogs2BLXBoxScore
120 - 2023-07-19970IceHogs6Comets7ALBoxScore
121 - 2023-07-20979Stars2IceHogs10BWBoxScore
124 - 2023-07-23999IceHogs2Monsters8ALBoxScore
126 - 2023-07-251010Eagles5IceHogs1BLBoxScore
129 - 2023-07-281034IceHogs6Thunderbirds7ALXBoxScore
130 - 2023-07-291047Monsters7IceHogs2BLBoxScore
133 - 2023-08-011069Condors7IceHogs2BLBoxScore
136 - 2023-08-041096Wild6IceHogs2BLBoxScore
138 - 2023-08-061112IceHogs3Moose9ALBoxScore
139 - 2023-08-071123IceHogs10Rampage 4AWBoxScore
141 - 2023-08-091135Roadrunners3IceHogs9BWBoxScore
142 - 2023-08-101151IceHogs7Roadrunners3AWBoxScore
144 - 2023-08-121166IceHogs1Heat10ALBoxScore
145 - 2023-08-131174Canucks5IceHogs3BLBoxScore
148 - 2023-08-161194Moose7IceHogs4BLBoxScore
149 - 2023-08-171207IceHogs8Stars3AWBoxScore
152 - 2023-08-201228Moose6IceHogs5BLBoxScore
154 - 2023-08-221240IceHogs7Senators6AWXBoxScore
157 - 2023-08-251258IceHogs4Senators1AWBoxScore
158 - 2023-08-261268IceHogs1Condors4ALBoxScore
159 - 2023-08-271280 Americans6IceHogs8BWBoxScore
164 - 2023-09-011305 Americans7IceHogs5BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price500
Attendance79,31838,917
Attendance PCT96.73%94.92%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2884 - 96.13% 96,729$3,965,900$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,384,698$ 492,499$ 492,499$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,967$ 884,661$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,003$ 0$




IceHogs Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

IceHogs Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

IceHogs Career Team Stats

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

IceHogs Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

IceHogs Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA