IceHogs
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 23 | PP%: 40.00% | PK%: 50.00%
Randell Miller | 50 | 71


Canucks
6-1-0, 12pts
1
FINAL
2 IceHogs
1-4-0, 2pts
Team Stats
W3L1
5-0-01-1-0
1-1-00-3-0
6-0-11-3-1
4.863.00
3.294.60
33.33%40.00%
66.67%50.00%
IceHogs
1-4-0, 2pts
2
FINAL
5 Canucks
6-1-0, 12pts
Team Stats
L1W3
1-1-05-0-0
0-3-01-1-0
1-3-16-0-1
3.004.86
4.603.29
40.00%33.33%
50.00%66.67%
Thomas Harley
Thomas Harley
4
Thomas Harley
Thomas Harley
5
Thomas Harley
Thomas Harley
9
Brandon Hickey
Brandon Hickey
4
Frederik Andersen
Frederik Andersen
1
Frederik Andersen
Frederik Andersen
0.861


15
3.00 GFG

142
28.40 Avg

40.0%
2 GF

37.6%

23
4.60 GAA

165
33.00 Avg

50.0%%
1 GA

31.0%


Randell Miller
Central Division
Western Conference




5,000
5,000
5,000




22
20
42 / 55
40


PriorityDescription
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
# #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
1Rasmus Kupari (R)0X100.00645197788141558358727044768376050750243940,000$
2Aku Raty (R)0X100.00455883737665757836616740732540050710222896,250$
3Brandon Gignac0X100.00465582747658667965626840732540050710261750,000$
4Josh Dunne (R)0X100.00466382717576887665576740712540050700251830,420$
5Colton Dach (R)0X100.00465481727658657736596740722540050690213825,000$
6Scott Reedy (R)0XXX100.00445884717666767665566740712540050690252869,500$
7Matthew Wedman (R)0X100.00475180707558557536566640712540050680251750,000$
8Dalton Smith0XXX100.00505576707558667536566640712540050680321750,000$
9Gavin Hain0X100.00455483717558647665566740712540050680211750,000$
10Jett Jones0XXX100.00454684717558457665566640712540050680211750,000$
11Ryan Dzingel0XXX100.00454184717658457665576740722540050680321750,000$
12Thomas Harley (R)0X100.00585196828873959140787371829182050890221925,000$
13Ty Smith0X100.00465081747658537936646747732540050740243869,500$
14Dysin Mayo61X100.00486480717579917636596643712540050730272969,000$
15Hunter McDonald (R)0X100.00473680717758457636586658712540050730221750,000$
16Brandon Hickey0X100.00463982717658457636586741712540050710281750,000$
17Kyle Masters (R)0X100.00454084717658457636576646712540050710213865,000$
18Nicolas Beaudin0X100.00455183717658577636586648712540050710243869,500$
1Alex Gallant0X100.00515375707558627536566640712540050680311750,000$
2Max Ellis0X100.00455583717658667636576740712540050680241750,000$
100.0048518372776163774660674472314405071
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Frederik Andersen31100.00655553656565797766547263990507603414,500,000$
2Aaron Dell0100.0060555360575360545674574262050650351750,000$
100.006355536361597066616465538105071
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# GP 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
1Thomas HarleyIceHogs (CHI)D5459-1006172571816.00%2512525.170112400001100%01819001.4300000120
2Rasmus KupariIceHogs (CHI)C5235-300122145914.29%210320.7700003000010050.00%6281000.9600000010
3Brandon GignacIceHogs (CHI)LW5134-3208551520.00%210521.0100003000000048.00%2541000.7600000000
4Jett JonesIceHogs (CHI)C/LW/RW5134-10032104310.00%08717.5400000000000050.98%5151000.9100000001
5Colton DachIceHogs (CHI)LW5213-1003373528.57%29018.1400003000000066.67%331000.6600000000
6Dalton SmithIceHogs (CHI)C/LW/RW5033-200545480%18917.9000000000000033.33%361000.6700000000
7Ty SmithIceHogs (CHI)D5213-5204471028.57%67815.761011400001000%002000.7600000000
8Aku RatyIceHogs (CHI)RW5022-4009713380%210120.3501104000010028.57%742000.3900000000
9Brandon HickeyIceHogs (CHI)D5022400304020%2479.570000000000000%000000.8400000000
10Dysin MayoIceHogs (CHI)D5022-500185440%510120.370002400001000%053000.3900000000
11Hunter McDonaldIceHogs (CHI)D5202-5005111451014.29%1010120.371012400001000%004000.3900000000
12Ryan DzingelIceHogs (CHI)C/LW/RW5101-1005341325.00%17414.880000000000000%210000.2700000000
13Scott ReedyIceHogs (CHI)C/LW/RW5011-5003212260%29819.6701144000000040.00%531000.2000000000
14Josh DunneIceHogs (CHI)C5011-500687240%010020.0000004000010042.86%4960000.2000000000
15Matthew WedmanIceHogs (CHI)LW5000-200231020%35310.730000000000000%21000000000000
16Gavin HainIceHogs (CHI)C5000000000000%0122.490000000000000%11000000000000
17Kyle MastersIceHogs (CHI)D5000-300194020%27815.690000000000000%00100000000000
18Nicolas BeaudinIceHogs (CHI)D5000-300385410%47815.690000000000000%02500000000000
90152742-45407996142469010.56%69153017.002351141000081046.19%2106742000.5500000131
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Frederik AndersenIceHogs (CHI)51310.8614.53305002316599000050100
51310.8614.5330500231659900050100


PriorityDescription
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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aaron Dell IceHogs (CHI)G351989-05-04CANNo213 Lbs6 ft0NoNoFree AgentNoNo12024-10-04FalseFalsePro & Farm750,000$267,857$0$0$NoUnrestricted----------------------Link / NHL Link
Aku Raty IceHogs (CHI)RW222001-07-05FINYes170 Lbs6 ft0NoNoProspectNoNo22024-07-02FalseFalsePro & Farm896,250$320,089$0$0$No896,250$ Restricted----896,250$--------No--------Link / NHL Link
Alex Gallant IceHogs (CHI)LW311992-12-08CANNo180 Lbs5 ft11NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$NoUnrestricted----------------------Link / NHL Link
Brandon Gignac IceHogs (CHI)LW261997-11-07CANNo170 Lbs5 ft11NoNoFree AgentNoNo12024-09-10FalseFalsePro & Farm750,000$267,857$0$0$NoUnrestricted----------------------Link / NHL Link
Brandon Hickey IceHogs (CHI)D281996-04-13CANNo205 Lbs6 ft2NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$NoUnrestricted----------------------Link / NHL Link
Colton Dach IceHogs (CHI)LW212003-01-04CANYes193 Lbs6 ft4NoNoProspectNoNo32024-07-02FalseFalsePro & Farm825,000$294,643$0$0$No825,000$825,000$ Restricted----825,000$825,000$-------NoNo-------Link / NHL Link
Dalton Smith IceHogs (CHI)C/LW/RW321992-06-30CANNo206 Lbs6 ft2NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$NoUnrestricted----------------------Link / NHL Link
Dysin Mayo IceHogs (CHI)D271996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm969,000$346,071$0$0$No969,000$Unrestricted----969,000$--------No--------Link / NHL Link
Frederik Andersen (1 Way Contract)IceHogs (CHI)G341989-10-02DNKNo238 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm4,500,000$1,607,143$1,205,357$3,375,000$NoUnrestricted----------------------Link / NHL Link
Gavin Hain IceHogs (CHI)C212003-04-03USANo194 Lbs5 ft11NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$NoRestricted----------------------Link / NHL Link
Hunter McDonald IceHogs (CHI)D222002-05-11USAYes205 Lbs6 ft4NoNoProspectNoNo12024-07-02FalseFalsePro & Farm750,000$267,857$0$0$NoRestricted----------------------Link / NHL Link
Jett Jones IceHogs (CHI)C/LW/RW212002-08-27CANNo216 Lbs6 ft3NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$NoRestricted----------------------Link / NHL Link
Josh Dunne IceHogs (CHI)C251998-12-08USAYes211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm830,420$296,579$0$0$No Restricted----------------------Link / NHL Link
Kyle Masters IceHogs (CHI)D212003-04-09CANYes190 Lbs6 ft0NoNoProspectNoNo32024-07-02FalseFalsePro & Farm865,000$308,929$0$0$No865,000$865,000$ Restricted----865,000$865,000$-------NoNo-------Link / NHL Link
Matthew Wedman IceHogs (CHI)LW251999-05-25CANYes210 Lbs6 ft4NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$No Restricted----------------------Link / NHL Link
Max Ellis IceHogs (CHI)RW242000-01-18USANo171 Lbs5 ft9NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$No Restricted----------------------Link / NHL Link
Nicolas Beaudin IceHogs (CHI)D241999-10-07CANNo168 Lbs5 ft11NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm869,500$310,536$0$0$No869,500$869,500$ Restricted----869,500$869,500$-------NoNo-------Link / NHL Link
Rasmus Kupari IceHogs (CHI)C242000-03-15FINYes200 Lbs6 ft2NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm940,000$335,714$0$0$No940,000$940,000$ Restricted----940,000$940,000$-------NoNo-------Link / NHL Link
Ryan Dzingel (1 Way Contract)IceHogs (CHI)C/LW/RW321992-03-09USANo190 Lbs6 ft0NoNoFree AgentNoNo12024-10-05FalseFalsePro & Farm750,000$267,857$0$0$NoUnrestricted----------------------Link / NHL Link
Scott Reedy IceHogs (CHI)C/LW/RW251999-04-04USAYes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm869,500$310,536$0$0$No869,500$ Restricted----869,500$--------No--------Link / NHL Link
Thomas Harley IceHogs (CHI)D222001-08-19USAYes205 Lbs6 ft3NoNoN/ANoNo1FalseFalseFarm Only925,000$330,357$0$0$NoRestricted----------------------Link / NHL Link
Ty Smith IceHogs (CHI)D242000-03-24CANNo180 Lbs5 ft11NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm869,500$310,536$0$0$No869,500$869,500$ Restricted----869,500$869,500$-------NoNo-------Link / NHL Link
2225.73196 Lbs6 ft11.59982,235$



1Brandon GignacRasmus KupariRyan Dzingel30122
2Scott ReedyJosh DunneAku Raty30122
3Colton DachJett JonesDalton Smith20122
4Matthew WedmanBrandon GignacRasmus Kupari20122
1Thomas HarleyTy Smith30122
2Hunter McDonaldDysin Mayo30122
3Nicolas BeaudinKyle Masters20122
4Brandon HickeyThomas Harley20122
1Brandon GignacRasmus KupariColton Dach50122
2Scott ReedyJosh DunneAku Raty50122
1Thomas HarleyTy Smith50122
2Hunter McDonaldDysin Mayo50122
1Josh DunneRasmus Kupari50122
2Brandon GignacAku Raty50122
1Thomas HarleyTy Smith50122
2Hunter McDonaldDysin Mayo50122
1Brandon Gignac50122Thomas HarleyTy Smith50122
2Rasmus Kupari50122Hunter McDonaldDysin Mayo50122
1Jett JonesRasmus Kupari50122
2Brandon GignacAku Raty50122
1Thomas HarleyTy Smith50122
2Hunter McDonaldDysin Mayo50122
Brandon GignacRasmus KupariAku RatyThomas HarleyTy Smith
Brandon GignacRasmus KupariAku RatyThomas HarleyTy Smith
Colton Dach, Jett Jones, Brandon GignacColton Dach, Jett JonesRasmus Kupari
Nicolas Beaudin, Kyle Masters, Brandon HickeyNicolas BeaudinKyle Masters, Brandon Hickey
Colton Dach, Rasmus Kupari, Brandon Gignac, Aku Raty, Josh Dunne
#1 : Frederik Andersen, #2 : Aaron Dell
Ryan Dzingel, Rasmus Kupari, Brandon Gignac, Aku Raty, Josh Dunne, Scott Reedy, Scott Reedy, Colton Dach, Jett Jones, Matthew Wedman, Dalton Smith
Thomas Harley, Ty Smith, Hunter McDonald, Dysin Mayo, Nicolas Beaudin


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
1Canucks514000001523-82110000077030300000816-820.2001527420074311425649352165694795240.00%2150.00%0327940.51%346552.31%316646.97%9757122418641
Total514000001523-82110000077030300000816-820.2001527420074311425649352165694795240.00%2150.00%0327940.51%346552.31%316646.97%9757122418641
_Since Last GM Reset514000001523-82110000077030300000816-820.2001527420074311425649352165694795240.00%2150.00%0327940.51%346552.31%316646.97%9757122418641
_Vs Conference514000001523-82110000077030300000816-820.2001527420074311425649352165694795240.00%2150.00%0327940.51%346552.31%316646.97%9757122418641

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L11527421421656947900
All Games
GPWLOTWOTL SOWSOLGFGA
51400001523
Home Games
GPWLOTWOTL SOWSOLGFGA
211000077
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3030000816
Last 10 Games
WLOTWOTL SOWSOL
130100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
5240.00%2150.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
56493527431
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
327940.51%346552.31%316646.97%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9757122418641


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 Score Home Score ST OT SO RI Link
2 - 2025-04-227IceHogs1Canucks5LBoxScore
4 - 2025-04-2415IceHogs5Canucks6LBoxScore
6 - 2025-04-2623Canucks6IceHogs5LXBoxScore
8 - 2025-04-2831Canucks1IceHogs2WXBoxScore
10 - 2025-04-3039IceHogs2Canucks5LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance7,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 5000 - 100.00% 108,375$216,750$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 16,359,170$ 16,359,170$ 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$ 10 0$ 0$




IceHogs Players 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 Players 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