ROCKFORD IceHogs

GP: 79 | W: 54 | L: 19 | OTL: 6 | P: 114
GF: 332 | GA: 159 | PP%: 16.67% | PK%: 87.00%
GM : Patrice Picher | Morale : 97 | Team Overall : 63
Next Games #1033 vs SAN DIEGO Gulls
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Remi Elie0X100.007142806976749364306563636754527580680
2Vinnie Hinostroza0X100.005942807557799071427164636554524880680
3Robby Fabbri0XX100.005742768364565573366968576654529580640
4Seth Griffith0XX100.006043766363648464306463586553525580640
5Taylor Leier0X100.005841837163765663306461686452515880640
6Sammy Blais (R)0X100.005944726377697065526564596550504980640
7Christoph Bertschy0XX100.005345676063678958675858605850504880610
8Michael Sgarbossa0X100.005247576067588560676060606052514280610
9Connor Carrick0X100.006642836665766474305964626957545580650
10Dillon Heatherington0X100.006646695184537856305046665450507180590
11Kevin Gravel0X100.006142795583655861305350625853525280590
12Michael Paliotta0X100.005841775082474252304644605150506480530
13Petteri Lindbohm0X100.005942745081514052304544605152514768530
Scratches
TEAM AVERAGE100.00604375637164706339595861615251587962
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
1Scott Wedgewood100.00727589817884797777687352626180670
2David Rittich100.00767777837876787878757452644280670
Scratches
1Jared Coreau100.00697289917283727171676852613720640
TEAM AVERAGE100.0072758585768176757570725262476066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan73757473777778CAN464450,000$


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 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
1Vinnie HinostrozaROCKFORD IceHogs (CHI)LW7944761207136010115442310233610.40%23198925.18312154121100041425054.78%57500021.21130008712
2Remi ElieROCKFORD IceHogs (CHI)LW7945681136154017314337212029312.10%40195824.79511164621101151809249.28%69400011.15140008710
3Taylor LeierROCKFORD IceHogs (CHI)LW7942468859120581403639325411.57%24156019.75336201080001267149.17%12000011.1300000713
4Seth GriffithROCKFORD IceHogs (CHI)C/RW79315384553201141292747120511.31%15161220.4211213252140000412149.54%162900011.0401000632
5Connor CarrickROCKFORD IceHogs (CHI)D791858766153513869186631269.68%92176522.3411617832291012175630.00%000000.8611001363
6Robby FabbriROCKFORD IceHogs (CHI)C/LW792746733814070136286721929.44%18139817.7148123520400071377150.92%141200001.0402000147
7Christoph BertschyROCKFORD IceHogs (CHI)C/RW7935306554301081502276513815.42%17146318.526612382200000423167.50%12000000.8900002344
8Michael SgarbossaROCKFORD IceHogs (CHI)C791941605229568138194771489.79%19128216.231345250000762067.14%127200000.9400010154
9Sammy BlaisROCKFORD IceHogs (CHI)LW7924345850361070652056212711.71%14104213.2010110490001205061.70%9400001.1101002132
10Kevin GravelROCKFORD IceHogs (CHI)D797344144280812958233812.07%53135217.12246118700005600100.00%100000.6100000122
11Dillon HeatheringtonROCKFORD IceHogs (CHI)D794293344660127456928465.80%75151119.13268232010000138000.00%000000.4400000030
12Martin FrkCHICAGO BlackhawksRW381716332526074571574810110.83%1099126.0912312980115872345.21%26100010.6703000611
13Samuel GirardCHICAGO BlackhawksD21417211210028145112307.84%2853925.693363069011162200.00%000000.7811000031
14Michael PaliottaROCKFORD IceHogs (CHI)D79512173736064205515399.09%64122915.572131577101196100.00%000000.2800000001
15Martin MarincinCHICAGO BlackhawksD3911516201803719507412.00%4969817.920222198011182000.00%000000.4600000000
16Petteri LindbohmROCKFORD IceHogs (CHI)D6676133047568213462520.59%4876911.670003180000351060.00%500000.3400000010
Team Total or Average111233058191171352735135212293004864213910.99%5892116519.0345791244182126246281403521254.29%618300060.86416015455052
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
1Scott WedgewoodROCKFORD IceHogs (CHI)79541960.9201.97476241515619590310.77818790713
Team Total or Average79541960.9201.97476241515619590310.77818790713


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
Christoph BertschyROCKFORD IceHogs (CHI)C/RW244/5/1994No84 Kg178 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Connor CarrickROCKFORD IceHogs (CHI)D244/13/1994No87 Kg178 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
David RittichROCKFORD IceHogs (CHI)G268/19/1992No92 Kg191 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Dillon HeatheringtonROCKFORD IceHogs (CHI)D235/9/1995No98 Kg193 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Jared CoreauROCKFORD IceHogs (CHI)G2611/5/1991No100 Kg198 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Kevin GravelROCKFORD IceHogs (CHI)D263/6/1992No96 Kg193 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Michael PaliottaROCKFORD IceHogs (CHI)D254/6/1993No94 Kg193 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Michael SgarbossaROCKFORD IceHogs (CHI)C267/25/1992No85 Kg183 CMNoNoNo1RFAPro & Farm700,000$0$0$NoLink
Petteri LindbohmROCKFORD IceHogs (CHI)D249/23/1993No90 Kg191 CMNoNoNo2RFAPro & Farm650,000$0$0$NoLink
Remi ElieROCKFORD IceHogs (CHI)LW234/16/1995No95 Kg185 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Robby FabbriROCKFORD IceHogs (CHI)C/LW221/22/1996No89 Kg178 CMNoNoNo2RFAPro & Farm850,000$0$0$No
Sammy BlaisROCKFORD IceHogs (CHI)LW226/17/1996Yes93 Kg188 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Scott WedgewoodROCKFORD IceHogs (CHI)G268/14/1992No89 Kg188 CMNoNoNo2RFAPro & Farm650,000$0$0$NoLink
Seth GriffithROCKFORD IceHogs (CHI)C/RW251/4/1993No86 Kg175 CMNoNoNo2RFAPro & Farm750,000$0$0$NoLink
Taylor LeierROCKFORD IceHogs (CHI)LW242/15/1994No82 Kg180 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Vinnie HinostrozaROCKFORD IceHogs (CHI)LW244/3/1994No79 Kg175 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1624.3890 Kg185 CM1.38740,625$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Remi ElieSeth GriffithChristoph Bertschy31122
2Vinnie HinostrozaRobby FabbriTaylor Leier26122
3Taylor LeierMichael SgarbossaRemi Elie23122
4Sammy BlaisVinnie HinostrozaSeth Griffith20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CarrickDillon Heatherington31122
2Kevin GravelMichael Paliotta26122
3Connor Carrick23122
4Dillon HeatheringtonKevin Gravel20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Remi ElieSeth GriffithChristoph Bertschy55122
2Vinnie HinostrozaRobby FabbriTaylor Leier45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CarrickDillon Heatherington55122
2Kevin GravelMichael Paliotta45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Remi ElieVinnie Hinostroza55122
2Seth GriffithRobby Fabbri45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CarrickDillon Heatherington55122
2Kevin GravelMichael Paliotta45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Remi Elie55122Connor CarrickDillon Heatherington55122
2Vinnie Hinostroza45122Kevin GravelMichael Paliotta45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Remi ElieVinnie Hinostroza55122
2Seth GriffithRobby Fabbri45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CarrickDillon Heatherington55122
2Kevin GravelMichael Paliotta45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Remi ElieSeth GriffithChristoph BertschyConnor CarrickDillon Heatherington
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Remi ElieSeth GriffithChristoph BertschyConnor CarrickDillon Heatherington
Extra Forwards
Normal PowerPlayPenalty Kill
Sammy Blais, Michael Sgarbossa, Christoph BertschySammy Blais, Michael SgarbossaChristoph Bertschy
Extra Defensemen
Normal PowerPlayPenalty Kill
, Michael Paliotta, Connor CarrickMichael Paliotta, Connor Carrick
Penalty Shots
Remi Elie, Vinnie Hinostroza, Seth Griffith, Robby Fabbri, Taylor Leier
Goalie
#1 : Scott Wedgewood, #2 : David Rittich
Custom OT Lines Forwards
Remi Elie, Vinnie Hinostroza, Seth Griffith, Robby Fabbri, Taylor Leier, Sammy Blais, Sammy Blais, Christoph Bertschy, Michael Sgarbossa, ,
Custom OT Lines Defensemen
Connor Carrick, Dillon Heatherington, Kevin Gravel, Michael Paliotta,


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
1BELLEVILLE Senators220000001147110000005231100000062441.000111627001381108151169811039965385810647500.00%30100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
2BRIDGEPORT Sound Tigers88000000581840330000002371655000000351124161.0005810516300138110815283981103996538183624210929931.03%20385.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
3BROOKLYN Wolfpack22000000260261100000014014110000001201241.0002646720213811081518398110399653872633100.00%30100.00%11581271658.21%1164232150.15%626121951.35%219016401649507931489
4CHICAGO Wolves7510001032181444000000197123110001013112120.8573256880113811081521098110399653819754461348225.00%22577.27%11581271658.21%1164232150.15%626121951.35%219016401649507931489
5CLEVELAND Monsters21000100734110000006151000010012-130.750713200013811081557981103996538632616326116.67%70100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
6COLORADO Eagles632001001385321000009543110010043170.58313213401138110815157981103996538138335912545511.11%190100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
7CORNWALL Aces220000002002011000000909110000001101141.00020335302138110815121981103996538191002822100.00%000.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
8HERSEY Bears211000008621010000034-11100000052320.500814220013811081563981103996538451183212216.67%40100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
9HOLLYWOOD Oscar2200000015015110000006061100000090941.00015264102138110815176981103996538174246100.00%10100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
10IOWA Wild3210000010911010000023-12200000086240.667101525001381108151439811039965381042310367114.29%40100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
11LAVAL Rockets731000122120142000011129331100001911-2100.714213758011381108151999811039965381946010114649918.37%36780.56%01581271658.21%1164232150.15%626121951.35%219016401649507931489
12LEHIGH VALLEY Phantoms211000004401010000012-11100000032120.50047110013811081553981103996538461414298225.00%6183.33%01581271658.21%1164232150.15%626121951.35%219016401649507931489
13MANITOBA Moose2200000010010110000004041100000060641.00010182802138110815195981103996538100221000.00%10100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
14MILWAUKEE Admirals6230100013112312000005503110100086260.5001322350013811081518098110399653815251417718316.67%16381.25%01581271658.21%1164232150.15%626121951.35%219016401649507931489
15MONT-LAURIER Sommet22000000624110000003031100000032141.00061117011381108157498110399653851152439500.00%110100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
16PROVIDENCE Bruins3300000016791100000062422000000105561.00016284400138110815919811039965389636164914428.57%8275.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
17PV Sharapovas3120000078-1211000007611010000002-220.3337132000138110815759811039965381243722581000.00%11281.82%01581271658.21%1164232150.15%626121951.35%219016401649507931489
18SAN DIEGO Gulls513001001218-62110000055030200100713-630.300122234101381108151749811039965381694842821119.09%21480.95%01581271658.21%1164232150.15%626121951.35%219016401649507931489
19STOCKTON Flames11000000321110000003210000000000021.0003690013811081534981103996538198220400.00%000.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
20SYRACUSE Crunch220000001037110000003211100000071641.000101727001381108159798110399653842111435500.00%50100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
21TORONTO Marlies21000100550110000004311000010012-130.75051015001381108156698110399653850161632500.00%6183.33%01581271658.21%1164232150.15%626121951.35%219016401649507931489
22TUSCON Roadrunners21100000532110000003031010000023-120.500510150113811081537981103996538491414351119.09%4175.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
Total79511901422332159173392890001116669974023100141116690761140.7223325829141151381108153006981103996538196059253313582704516.67%2232987.00%21581271658.21%1164232150.15%626121951.35%219016401649507931489
24UTICA Comets2020000025-31010000023-11010000002-200.0002460013811081531981103996538532312424125.00%60100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
25VICTORIAVILLE Tigres2110000035-2110000003121010000004-420.500358001381108155098110399653863151648500.00%80100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
26WILKIES-BARRIE Penguins2200000015015110000009091100000060641.000152742021381108151419811039965381192235240.00%10100.00%01581271658.21%1164232150.15%626121951.35%219016401649507931489
_Since Last GM Reset79511901422332159173392890001116669974023100141116690761140.7223325829141151381108153006981103996538196059253313582704516.67%2232987.00%21581271658.21%1164232150.15%626121951.35%219016401649507931489
_Vs Conference523113013222231141092517600011113486527147013111106644730.70222339561817138110815176998110399653813084153918842023919.31%1632485.28%21581271658.21%1164232150.15%626121951.35%219016401649507931489
_Vs Division26221001222815130131340001142212113960121139309541.0388113721804138110815935981103996538664176174441831113.25%70888.57%11581271658.21%1164232150.15%626121951.35%219016401649507931489

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
79114W2332582914300619605925331358115
All Games
GPWLOTWOTL SOWSOLGFGA
7951191422332159
Home Games
GPWLOTWOTL SOWSOLGFGA
39289001116669
Visitor Games
GPWLOTWOTL SOWSOLGFGA
402310141116690
Last 10 Games
WLOTWOTL SOWSOL
720100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2704516.67%2232987.00%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
981103996538138110815
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1581271658.21%1164232150.15%626121951.35%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
219016401649507931489


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
1 - 2019-01-235ROCKFORD IceHogs5BRIDGEPORT Sound Tigers3WBoxScore
2 - 2019-01-2418MILWAUKEE Admirals2ROCKFORD IceHogs1LBoxScore
4 - 2019-01-2628ROCKFORD IceHogs3COLORADO Eagles0WBoxScore
5 - 2019-01-2741ROCKFORD IceHogs5BRIDGEPORT Sound Tigers1WBoxScore
6 - 2019-01-2849LAVAL Rockets4ROCKFORD IceHogs3LXXR3BoxScore
8 - 2019-01-3066ROCKFORD IceHogs2LAVAL Rockets3LXXBoxScore
9 - 2019-01-3176CHICAGO Wolves3ROCKFORD IceHogs5WBoxScore
12 - 2019-02-0397ROCKFORD IceHogs1MILWAUKEE Admirals2LBoxScore
13 - 2019-02-04100LAVAL Rockets3ROCKFORD IceHogs4WXXR3BoxScore
14 - 2019-02-05120COLORADO Eagles1ROCKFORD IceHogs2WBoxScore
16 - 2019-02-07136ROCKFORD IceHogs1CHICAGO Wolves4LBoxScore
17 - 2019-02-08150BRIDGEPORT Sound Tigers1ROCKFORD IceHogs6WBoxScore
18 - 2019-02-09160ROCKFORD IceHogs1SAN DIEGO Gulls4LBoxScore
20 - 2019-02-11171ROCKFORD IceHogs3MILWAUKEE Admirals2WXBoxScore
21 - 2019-02-12181SAN DIEGO Gulls3ROCKFORD IceHogs4WBoxScore
23 - 2019-02-14197CHICAGO Wolves1ROCKFORD IceHogs4WBoxScore
24 - 2019-02-15210ROCKFORD IceHogs3SAN DIEGO Gulls4LXBoxScore
25 - 2019-02-16223ROCKFORD IceHogs7BRIDGEPORT Sound Tigers2WBoxScore
27 - 2019-02-18233LAVAL Rockets0ROCKFORD IceHogs2WR3BoxScore
29 - 2019-02-20253VICTORIAVILLE Tigres1ROCKFORD IceHogs3WBoxScore
30 - 2019-02-21263BROOKLYN Wolfpack0ROCKFORD IceHogs14WBoxScore
32 - 2019-02-23277ROCKFORD IceHogs0VICTORIAVILLE Tigres4LBoxScore
33 - 2019-02-24289BELLEVILLE Senators2ROCKFORD IceHogs5WBoxScore
35 - 2019-02-26306ROCKFORD IceHogs1CLEVELAND Monsters2LXBoxScore
36 - 2019-02-27317TORONTO Marlies3ROCKFORD IceHogs4WBoxScore
38 - 2019-03-01334CLEVELAND Monsters1ROCKFORD IceHogs6WBoxScore
40 - 2019-03-03345ROCKFORD IceHogs7SYRACUSE Crunch1WBoxScore
41 - 2019-03-04359ROCKFORD IceHogs6WILKIES-BARRIE Penguins0WBoxScore
43 - 2019-03-06372STOCKTON Flames2ROCKFORD IceHogs3WBoxScore
44 - 2019-03-07384ROCKFORD IceHogs5PROVIDENCE Bruins1WBoxScore
45 - 2019-03-08395MONT-LAURIER Sommet0ROCKFORD IceHogs3WBoxScore
47 - 2019-03-10407ROCKFORD IceHogs9BRIDGEPORT Sound Tigers3WBoxScore
48 - 2019-03-11421ROCKFORD IceHogs3MONT-LAURIER Sommet2WBoxScore
49 - 2019-03-12433MILWAUKEE Admirals1ROCKFORD IceHogs3WBoxScore
51 - 2019-03-14446ROCKFORD IceHogs0PV Sharapovas2LBoxScore
52 - 2019-03-15458SYRACUSE Crunch2ROCKFORD IceHogs3WBoxScore
54 - 2019-03-17476LAVAL Rockets2ROCKFORD IceHogs3WR3BoxScore
55 - 2019-03-18486ROCKFORD IceHogs12BROOKLYN Wolfpack0WBoxScore
56 - 2019-03-19501CHICAGO Wolves3ROCKFORD IceHogs7WBoxScore
58 - 2019-03-21514ROCKFORD IceHogs3SAN DIEGO Gulls5LBoxScore
59 - 2019-03-22526UTICA Comets3ROCKFORD IceHogs2LBoxScore
61 - 2019-03-24539ROCKFORD IceHogs6BELLEVILLE Senators2WBoxScore
62 - 2019-03-25549ROCKFORD IceHogs9BRIDGEPORT Sound Tigers2WBoxScore
64 - 2019-03-27564CHICAGO Wolves0ROCKFORD IceHogs3WBoxScore
65 - 2019-03-28578ROCKFORD IceHogs1TORONTO Marlies2LXBoxScore
66 - 2019-03-29588ROCKFORD IceHogs4CHICAGO Wolves3WXXBoxScore
67 - 2019-03-30597MANITOBA Moose0ROCKFORD IceHogs4WBoxScore
69 - 2019-04-01616PV Sharapovas5ROCKFORD IceHogs3LBoxScore
70 - 2019-04-02628ROCKFORD IceHogs5IOWA Wild4WBoxScore
71 - 2019-04-03640MILWAUKEE Admirals2ROCKFORD IceHogs1LBoxScore
73 - 2019-04-05652ROCKFORD IceHogs0COLORADO Eagles1LBoxScore
75 - 2019-04-07668COLORADO Eagles3ROCKFORD IceHogs2LBoxScore
76 - 2019-04-08680ROCKFORD IceHogs4MILWAUKEE Admirals2WBoxScore
77 - 2019-04-09693PV Sharapovas1ROCKFORD IceHogs4WBoxScore
78 - 2019-04-10705ROCKFORD IceHogs11CORNWALL Aces0WBoxScore
80 - 2019-04-12717ROCKFORD IceHogs0UTICA Comets2LBoxScore
81 - 2019-04-13727CORNWALL Aces0ROCKFORD IceHogs9WBoxScore
83 - 2019-04-15746BRIDGEPORT Sound Tigers1ROCKFORD IceHogs9WBoxScore
84 - 2019-04-16760ROCKFORD IceHogs8CHICAGO Wolves4WBoxScore
85 - 2019-04-17767ROCKFORD IceHogs9HOLLYWOOD Oscar0WBoxScore
86 - 2019-04-18777TUSCON Roadrunners0ROCKFORD IceHogs3WBoxScore
88 - 2019-04-20793HERSEY Bears4ROCKFORD IceHogs3LBoxScore
90 - 2019-04-22811ROCKFORD IceHogs3IOWA Wild2WBoxScore
91 - 2019-04-23819LEHIGH VALLEY Phantoms2ROCKFORD IceHogs1LBoxScore
94 - 2019-04-26841ROCKFORD IceHogs2TUSCON Roadrunners3LBoxScore
95 - 2019-04-27854ROCKFORD IceHogs1LAVAL Rockets4LR3BoxScore
96 - 2019-04-28860BRIDGEPORT Sound Tigers5ROCKFORD IceHogs8WBoxScore
97 - 2019-04-29877PROVIDENCE Bruins2ROCKFORD IceHogs6WBoxScore
99 - 2019-05-01892ROCKFORD IceHogs6LAVAL Rockets4WR3BoxScore
100 - 2019-05-02906ROCKFORD IceHogs5HERSEY Bears2WBoxScore
101 - 2019-05-03911HOLLYWOOD Oscar0ROCKFORD IceHogs6WBoxScore
103 - 2019-05-05930WILKIES-BARRIE Penguins0ROCKFORD IceHogs9WBoxScore
105 - 2019-05-07946ROCKFORD IceHogs6MANITOBA Moose0WBoxScore
106 - 2019-05-08957COLORADO Eagles1ROCKFORD IceHogs5WBoxScore
108 - 2019-05-10969IOWA Wild3ROCKFORD IceHogs2LBoxScore
109 - 2019-05-11980ROCKFORD IceHogs1COLORADO Eagles2LXBoxScore
111 - 2019-05-131004SAN DIEGO Gulls2ROCKFORD IceHogs1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-141005ROCKFORD IceHogs5PROVIDENCE Bruins4WBoxScore
113 - 2019-05-151018ROCKFORD IceHogs3LEHIGH VALLEY Phantoms2WBoxScore
115 - 2019-05-171033SAN DIEGO Gulls-ROCKFORD IceHogs-
117 - 2019-05-191048ROCKFORD IceHogs-STOCKTON Flames-
118 - 2019-05-201057TUSCON Roadrunners-ROCKFORD IceHogs-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
2 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,657,290$ 1,185,000$ 1,185,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,229,790$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 13,625$ 81,750$




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
28784229022124252052203920150111122110012139221401101204105998442562310482823810579439551306130413302424007121959701371913.87%681085.29%01349209964.27%1242241151.51%850131464.69%211216721757446837428
30824719023383351471884124901115164659941231001223171828994335588923120147107767320510191070108066159846541312611793117.32%1672485.63%31516241062.90%925187149.44%738125358.90%250419221525476959535
3182284700412307354-4741152400101168178-1041132300311139176-3756307562869111401016542960100596097734199160065115522784716.91%2617172.80%41363267450.97%817178045.90%771143353.80%229217061679524978510
3279511901422332159173392890001116669974023100141116690761143325829141151381108153006981103996538196059253313582704516.67%2232987.00%21581271658.21%1164232150.15%626121951.35%219016401649507931489
Total Regular Season3211681140513714139986553416087570233871941230716181570310466804532273481399235537545446634233012013126431143734352162794923691792514186414216.44%71913481.36%95809989958.68%4148838349.48%2985521957.19%909969426611195437071963
Playoff
2840400000815-72020000048-42020000047-308122000251084362325015544126322313.64%60100.00%04110439.42%5815537.42%245841.38%6744124314820
3019118000004337685300000211471165000002223-12243741172513171125111681581691647813113632966812.12%53786.79%130559751.09%25355645.50%12826049.23%483339433137243124
Total Playoff231112000005152-1105500000252231367000002630-422518613725152212259520418119416633175148392881112.50%59788.14%134670149.36%31171143.74%15231847.80%550383558169291145