Please rotate your device to landscape mode for a better experience.
Login

IceHogs
GP: 24 | W: 7 | L: 9 | OTL: 8 | P: 22
GF: 49 | GA: 69 | PP%: 31.91% | PK%: 71.15%
GM : Pradeep Kumar | Morale : 38 | Team Overall : 58
Next Games #372 vs Checkers

Game Center
IceHogs
7-9-8, 22pts
2
6 Thunderbirds
16-5-2, 34pts
Team Stats
W1StreakL1
4-3-5Home Record8-3-1
3-6-3Home Record8-2-1
3-4-3Last 10 Games9-1-0
2.04Goals Per Game4.52
2.88Goals Against Per Game3.00
31.91%Power Play Percentage36.92%
71.15%Penalty Kill Percentage78.08%
Silver Knights
12-8-3, 27pts
3
4 IceHogs
7-9-8, 22pts
Team Stats
OTL1StreakW1
9-3-0Home Record4-3-5
3-5-3Home Record3-6-3
4-4-2Last 10 Games3-4-3
3.04Goals Per Game2.04
3.22Goals Against Per Game2.88
30.77%Power Play Percentage31.91%
73.17%Penalty Kill Percentage71.15%
IceHogs
7-9-8, 22pts
Day 31
Checkers
9-9-5, 23pts
Team Stats
W1StreakL2
4-3-5Home Record6-4-2
3-6-3Away Record3-5-3
3-4-3Last 10 Games3-5-2
2.04Goals Per Game2.48
2.88Goals Against Per Game2.48
31.91%Power Play Percentage29.41%
71.15%Penalty Kill Percentage69.57%
IceHogs
7-9-8, 22pts
Day 32
Wild
21-2-0, 42pts
Team Stats
W1StreakW4
4-3-5Home Record9-2-0
3-6-3Away Record12-0-0
3-4-3Last 10 Games9-1-0
2.04Goals Per Game4.35
2.88Goals Against Per Game4.35
31.91%Power Play Percentage17.24%
71.15%Penalty Kill Percentage79.07%
IceHogs
7-9-8, 22pts
Day 33
Phantoms
10-13-0, 20pts
Team Stats
W1StreakL2
4-3-5Home Record5-7-0
3-6-3Away Record5-6-0
3-4-3Last 10 Games4-6-0
2.04Goals Per Game2.96
2.88Goals Against Per Game2.96
31.91%Power Play Percentage25.00%
71.15%Penalty Kill Percentage65.22%
Team Leaders
Goals
Jaret Anderson-Dolan
14
Assists
Marc Gatcomb
17
Points
Jaret Anderson-Dolan
26
Sebastian Aho2Plus/Minus
Sebastian Aho2
3
Wins
Remi Poirier
7
Save Percentage
Remi Poirier
0.885

Team Stats
Goals For
49
2.04 GFG
Shots For
339
14.13 Avg
Power Play Percentage
31.9%
15 GF
Offensive Zone Start
34.8%
Goals Against
69
2.88 GAA
Shots Against
518
21.58 Avg
Penalty Kill Percentage
71.2%%
15 GA
Defensive Zone Start
38.9%
Team Info

General ManagerPradeep Kumar
CoachAndrew Doty
DivisionDivision 2
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,166
Season Tickets1,500


Roster Info

Pro Team24
Farm Team29
Contract Limit53 / 100
Prospects136


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
1Marc Gatcomb (R)X96.009961907974559160375673592548486945630262973,000$
2Max JonesXX96.0092478076805481572556586125666661466202721,392,000$
3Jaret Anderson-DolanXX97.0075728377727175587054576550606160566202611,172,000$
4Anton Wahlberg (R)X100.0082759867765453607558596654454561506002031,286,000$
5Adam SykoraX100.0073639767648289565056526148454559475902131,279,000$
6Jesse YlonenX100.0077728866726364615060576453454561345902621,864,000$
7Jackson Kunz (R)X100.0088839980833630597571446942454559345902331,385,000$
8Ondrej Becher (R)X100.0078719666725252546947566354454559435602131,278,000$
9Mark SendenX100.0076718865715353556952536250454557375602812,999,000$
10Sam BittenXXX100.0075816162815052475943456043444451335202512,999,000$
11Kyle CapobiancoX100.0073746967747681582557416339545556496202821,305,000$
12Adam Ginning (R)X100.007574756774778549254141603846465336600261925,000$
13Guillaume Richard (R)X100.0073708181715049562547516148454557365802231,297,000$
14Luke Prokop (R)X100.0087849362855254452535406538454552375702331,352,000$
15Daniil Misyul (R)X100.0071688067686165462536405837454550445602531,348,000$
16Sebastian Aho2X100.0072649064645050532552395937454652455502911,995,000$
17Lucas JohansenX100.0072697863695658492544395937444552325502821,001,000$
18Travis MitchellX100.0074786463785254472537416039444450325502612,999,000$
19Hunter SkinnerX100.006974636675545650253845584345455144550242999,000$
Scratches
1Gavin Hayes (R)X100.0074669465676265505050466044454554335402131,279,000$
2Hank Kempf (R)X100.0082759980753531532552396537444455265702300$
3Gavin WhiteX100.0075689364696064472539406038454552255602331,271,000$
TEAM AVERAGE99.50787185697357615341494862424747563958
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
1Remi Poirier100.00554050805860606264603045455569580241836,667$
2Magnus Chrona100.00504050885350535653533044445139540251867,500$
Scratches
TEAM AVERAGE100.0053405084565557595957304545535456
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Andrew Doty40404040404040TUR8111,000,000$


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
1Jaret Anderson-DolanIceHogs (CHI)C/RW24141226-23820314764103121.88%1155623.19651113340001364045.16%62218000.9314211310
2Marc GatcombIceHogs (CHI)C2451722-1340295244121811.36%750421.040883340000100043.54%457144000.8705000030
3Max JonesIceHogs (CHI)LW/RW2481220-6180473251122615.69%1354422.672356340114241133.33%21109000.7411000203
4Anton WahlbergIceHogs (CHI)C246511-35537433872315.79%1250421.002026281013270255.08%187128000.4426100020
5Kyle CapobiancoIceHogs (CHI)D24178-6255244119595.26%2458924.56011026011225010%1916000.2700100100
6Jake BeanBlackhawksD17268012101328251188.00%2844326.12044326000233000%0910100.3600011110
7Jesse YlonenIceHogs (CHI)RW24358-840324721112014.29%745919.151233170001250043.33%90145000.3526000002
8Adam SykoraIceHogs (CHI)LW2452700031352931017.24%249620.671013300001111057.14%14611000.2801000001
9Guillaume RichardIceHogs (CHI)D24134-6135131954220.00%539116.301011700014010%065000.2000001000
10Mark SendenIceHogs (CHI)C18213100152660533.33%120111.1700001000011062.75%5112000.3013000010
11Sebastian Aho2IceHogs (CHI)D2402232012205220%430412.6800006000018000%145000.1300000000
12Gavin HayesIceHogs (CHI)LW17022-4208107110%21689.88000010000000100.00%112000.2400000000
13Adam GinningIceHogs (CHI)D24011-65735274510870%1454122.57000139000122000%0512000.0400142000
14Ondrej BecherIceHogs (CHI)C24011-62026230350%438215.95011012000090057.14%3558000.0511000000
15Gavin WhiteIceHogs (CHI)D18101-35551221050.00%527915.5210111700002000%106000.0700100001
16Daniil MisyulIceHogs (CHI)D24101-480152950320.00%1442917.89101215000142000%068000.0500000000
17Adam ErneBlackhawksC/LW/RW2000-1175440000%02713.7500000000000066.67%30000000001000
18Lucas JohansenIceHogs (CHI)D6000100521010%0477.950000000000000%00000000000000
19Ryan McGregorBlackhawksC2000000210100%0157.5700000000000033.33%31000000000000
20Sam BittenIceHogs (CHI)C/LW/RW5000-155230100%05811.6400001000000037.50%82000000100000
21Travis MitchellIceHogs (CHI)D6000100201000%0223.760000000000000%00100000000000
22Luke ProkopIceHogs (CHI)D24000-612108102210%41626.790000000000000%10400000020000
23Tyler InamotoBlackhawksD1000000000000%022.630000000000000%00000000000000
24Hunter SkinnerIceHogs (CHI)D23000-100110000%0210.930000000000000%00000000000000
25Jackson KunzIceHogs (CHI)C23000-2003124040%1843.6700000000000055.56%93000000000000
Team Total or Average4504976125-722291053925423399417614.45%158723916.0915243942335123172977547.41%945129124100.35827786787
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
1Remi PoirierIceHogs (CHI)247980.8852.4514230358503301020.40727240102
2Magnus ChronaIceHogs (CHI)20000.8462.22540021380000024000
Team Total or Average267980.8842.441477036051630902272424102


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 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
Adam GinningIceHogs (CHI)D262000-01-13SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$677,232$0$0$No---------------------------Link
Adam SykoraIceHogs (CHI)LW212004-09-07SVKNo179 Lbs5 ft10NoNoTrade2025-10-15NoNo32025-10-22FalseFalsePro & Farm1,279,000$936,411$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Link
Anton WahlbergIceHogs (CHI)C202005-07-04SWEYes198 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$941,536$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Link
Daniil MisyulIceHogs (CHI)D252000-10-20BLRYes176 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,348,000$986,929$0$0$No1,348,000$1,348,000$-------1,348,000$1,348,000$-------NoNo-------Link
Gavin HayesIceHogs (CHI)LW212004-05-14USAYes176 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$936,411$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Link
Gavin WhiteIceHogs (CHI)D232002-11-12CANNo185 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,271,000$930,554$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Link
Guillaume RichardIceHogs (CHI)D222003-02-10CANYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,297,000$949,589$0$0$No1,297,000$1,297,000$-------1,297,000$1,297,000$-------NoNo-------Link
Hank KempfIceHogs (CHI)D232002-04-15USAYes200 Lbs6 ft2NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Link
Hunter SkinnerIceHogs (CHI)D242001-04-29USANo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm999,000$731,411$0$0$No999,000$--------999,000$--------No--------Link
Jackson KunzIceHogs (CHI)C232002-08-13USAYes227 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,385,000$1,014,018$0$0$No1,385,000$1,385,000$-------1,385,000$1,385,000$-------NoNo-------Link
Jaret Anderson-DolanIceHogs (CHI)C/RW261999-09-12CANNo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$858,071$0$0$No---------------------------Link
Jesse YlonenIceHogs (CHI)RW261999-10-03USANo193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,864,000$1,364,714$0$0$No1,864,000$--------1,864,000$--------No--------Link
Kyle CapobiancoIceHogs (CHI)D281997-08-13CANNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,305,000$955,446$0$0$No1,305,000$--------1,305,000$--------No--------Link / NHL Link
Lucas JohansenIceHogs (CHI)D281997-11-16CANNo181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,001,000$732,875$0$0$No1,001,000$--------1,001,000$--------No--------Link
Luke ProkopIceHogs (CHI)D232002-05-06CANYes223 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,352,000$989,857$0$0$No1,352,000$1,352,000$-------1,352,000$1,352,000$-------NoNo-------Link
Magnus ChronaIceHogs (CHI)G252000-08-08SWENo210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm867,500$635,134$0$0$No---------------------------Link
Marc GatcombIceHogs (CHI)C261999-07-22USAYes195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm973,000$712,375$0$0$No973,000$--------973,000$--------No--------Link
Mark SendenIceHogs (CHI)C281998-01-22USANo201 Lbs5 ft10NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,195,696$0$0$No---------------------------Link
Max JonesIceHogs (CHI)LW/RW271998-02-17USANo216 Lbs6 ft3NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm1,392,000$1,019,143$0$0$No1,392,000$--------1,392,000$--------No--------Link
Ondrej BecherIceHogs (CHI)C212004-02-22CZEYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$935,679$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Link
Remi PoirierIceHogs (CHI)G242001-10-06QUENo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm836,667$612,560$0$0$No---------------------------Link
Sam BittenIceHogs (CHI)C/LW/RW252000-03-21ONTNo220 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,195,696$0$0$No---------------------------Link
Sebastian Aho2IceHogs (CHI)D291996-02-17SWENo177 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,995,000$1,460,625$0$0$No---------------------------Link / NHL Link
Travis MitchellIceHogs (CHI)D261999-11-25USANo206 Lbs6 ft4NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,195,696$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2424.58198 Lbs6 ft21.961,420,924$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max JonesMarc GatcombJaret Anderson-Dolan40122
2Jesse YlonenAnton WahlbergAdam Sykora30122
3Anton WahlbergMarc GatcombOndrej Becher20122
4Jaret Anderson-DolanMarc GatcombMax Jones10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke ProkopAdam Ginning40122
2Kyle CapobiancoGuillaume Richard30122
3Kyle CapobiancoAdam Ginning20122
4Daniil MisyulKyle Capobianco10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max JonesMarc GatcombJaret Anderson-Dolan60122
2Ondrej BecherAnton WahlbergAdam Sykora40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Daniil MisyulAdam Ginning60122
2Kyle CapobiancoGuillaume Richard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Marc GatcombJaret Anderson-Dolan60122
2Max JonesAnton Wahlberg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Guillaume RichardDaniil Misyul60122
2Kyle CapobiancoAdam Ginning40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jaret Anderson-Dolan60122Kyle CapobiancoDaniil Misyul60122
2Max Jones40122Luke ProkopAdam Ginning40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Marc GatcombAnton Wahlberg60122
2Max JonesOndrej Becher40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Daniil MisyulAdam Ginning60122
2Kyle CapobiancoLuke Prokop40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max JonesMarc GatcombJaret Anderson-DolanAdam GinningKyle Capobianco
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max JonesMarc GatcombJaret Anderson-DolanAdam GinningKyle Capobianco
Extra Forwards
Normal PowerPlayPenalty Kill
Jaret Anderson-Dolan, Marc Gatcomb, Max JonesMarc Gatcomb, Max JonesMax Jones
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Capobianco, Adam Ginning, Daniil MisyulKyle CapobiancoAdam Ginning, Kyle Capobianco
Penalty Shots
Adam Sykora, Jaret Anderson-Dolan, Anton Wahlberg, Marc Gatcomb, Max Jones
Goalie
#1 : Remi Poirier, #2 : Magnus Chrona


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
1Barracuda3110000145-1210000013211010000013-230.5004610015103012305896170424881549400.00%5180.00%016331851.26%16835547.32%11724048.75%393128462276623312
2Bruins200010013301000000112-11000100021130.75036900510301221589617042213024000%000%016331851.26%16835547.32%11724048.75%393128462276623312
3Canucks1010000035-21010000035-20000000000000.000369005103012105896170422063620000%330.00%016331851.26%16835547.32%11724048.75%393128462276623312
4Comets1010000024-2000000000001010000024-200.00023510510301213589617042314420100.00%20100.00%016331851.26%16835547.32%11724048.75%393128462276623312
5Griffins2110000045-1110000003211010000013-220.5004590051030122458961704237916305120.00%3233.33%016331851.26%16835547.32%11724048.75%393128462276623312
6Islanders2010000158-32010000158-30000000000010.250581310510301239589617042631920347114.29%50100.00%116331851.26%16835547.32%11724048.75%393128462276623312
7Monsters20001001660000000000002000100166030.75069150051030123558961704233912362150.00%6266.67%016331851.26%16835547.32%11724048.75%393128462276623312
8Roadrunners1010000006-6000000000001010000006-600.0000000051030121858961704247152814000%4250.00%016331851.26%16835547.32%11724048.75%393128462276623312
9Rocket2000000224-22000000224-20000000000020.500235005103012175896170422715172311100.00%6183.33%016331851.26%16835547.32%11724048.75%393128462276623312
10Senators21100000752211000007520000000000020.5007111800510301252589617042663729399555.56%7271.43%016331851.26%16835547.32%11724048.75%393128462276623312
11Silver Knights10001000431100010004310000000000021.0004610005103012185896170421117175240.00%10100.00%016331851.26%16835547.32%11724048.75%393128462276623312
12Thunderbirds1010000026-4000000000001010000026-400.0002350051030121558961704245914164250.00%2150.00%016331851.26%16835547.32%11724048.75%393128462276623312
13Wolf Pack1000010001-1000000000001000010001-110.5000000051030128589617042106019200.00%000%016331851.26%16835547.32%11724048.75%393128462276623312
14Wolves3010100178-1000000000003010100178-130.5007101700510301239589617042591731517228.57%8187.50%016331851.26%16835547.32%11724048.75%393128462276623312
Total2439041074969-201233010052831-31206031022138-17220.4584976125215103012339589617042518158229392471531.91%521571.15%116331851.26%16835547.32%11724048.75%393128462276623312
_Since Last GM Reset2439041074969-201233010052831-31206031022138-17220.4584976125215103012339589617042518158229392471531.91%521571.15%116331851.26%16835547.32%11724048.75%393128462276623312
_Vs Conference1825041063844-6922010042021-1903031021823-5190.528386098115103012243589617042326106151298311135.48%381073.68%016331851.26%16835547.32%11724048.75%393128462276623312
_Vs Division22402005212-100210000300020302002212-10133.25023500510301233589617042922442304250.00%6350.00%016331851.26%16835547.32%11724048.75%393128462276623312

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2422W1497612533951815822939221
All Games
GPWLOTWOTL SOWSOLGFGA
243941074969
Home Games
GPWLOTWOTL SOWSOLGFGA
123310052831
Visitor Games
GPWLOTWOTL SOWSOLGFGA
120631022138
Last 10 Games
WLOTWOTL SOWSOL
340003
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
471531.91%521571.15%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5896170425103012
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16331851.26%16835547.32%11724048.75%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
393128462276623312


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
19Senators3IceHogs2LBox score
225IceHogs2Bruins1WXBox score
437Barracuda2IceHogs1LXXBox score
557IceHogs3Wolves2WXBox score
667Rocket3IceHogs2LXXBox score
779IceHogs2Comets4LBox score
997IceHogs0Monsters1LXXBox score
10107IceHogs1Barracuda3LBox score
11123Barracuda0IceHogs2WBox score
12142IceHogs0Roadrunners6LBox score
13151Senators2IceHogs5WBox score
15175Islanders4IceHogs2LBox score
16186IceHogs0Wolf Pack1LXBox score
17207Bruins2IceHogs1LXXBox score
18221Rocket1IceHogs0LXXBox score
19231IceHogs6Monsters5WXBox score
20249IceHogs3Wolves4LXXBox score
23267Islanders4IceHogs3LXXBox score
24280IceHogs1Griffins3LBox score
25296Canucks5IceHogs3LBox score
27313IceHogs1Wolves2LBox score
28325Griffins2IceHogs3WBox score
29343IceHogs2Thunderbirds6LBox score
30359Silver Knights3IceHogs4WXBox score
31372IceHogs-Checkers-
32386IceHogs-Wild-
33397IceHogs-Phantoms-
34405Admirals-IceHogs-
35427Checkers-IceHogs-
37451Wild-IceHogs-
38462IceHogs-Americans-
39482IceHogs-Silver Knights-
40489IceHogs-Bruins-
41499Wolves-IceHogs-
42521Rocket-IceHogs-
44549Bears-IceHogs-
45562IceHogs-Marlies-
46577Marlies-IceHogs-
47596IceHogs-Crunch-
48609Stars-IceHogs-
49624IceHogs-Admirals-
50637IceHogs-Barracuda-
51647IceHogs-Canucks-
52661Gulls-IceHogs-
53677Americans-IceHogs-
54699Phantoms-IceHogs-
55712IceHogs-Roadrunners-
57730IceHogs-Islanders-
58738IceHogs-Heat-
59749Condors-IceHogs-
60771Thunderbirds-IceHogs-
62793Eagles-IceHogs-
64812IceHogs-Monsters-
65822Heat-IceHogs-
67841IceHogs-Wolf Pack-
68853Penguins-IceHogs-
69867IceHogs-Comets-
70886IceHogs-Penguins-
71897Senators-IceHogs-
73914Reign-IceHogs-
74936Roadrunners-IceHogs-
76950IceHogs-Stars-
78969IceHogs-Moose-
79977Comets-IceHogs-
811002Senators-IceHogs-
821017IceHogs-Condors-
831034Wolves-IceHogs-
841043IceHogs-Gulls-
861062IceHogs-Eagles-
871074Moose-IceHogs-
881093Comets-IceHogs-
901108IceHogs-Reign-
911125IceHogs-Rocket-
921136Wolf Pack-IceHogs-
931154Barracuda-IceHogs-
951167IceHogs-Senators-
961187IceHogs-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
971196IceHogs-Senators-
981201Monsters-IceHogs-
991221IceHogs-Bears-
1001229IceHogs-Comets-
1011239Monsters-IceHogs-
1021250IceHogs-Bears-
1041269Crunch-IceHogs-
1071300Barracuda-IceHogs-
1101324Crunch-IceHogs-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance16,9179,078
Attendance PCT70.49%75.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 2166 - 72.21% 90,426$1,085,115$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,088,941$ 3,410,217$ 3,410,217$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
30,448$ 821,072$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,803,214$ 82 39,377$ 3,228,914$




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