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Rockford IceHogs
GP: 8 | W: 3 | L: 3 | OTL: 2 | P: 8
GF: 15 | GA: 15 | PP%: 18.18% | PK%: 83.33%
GM : | Morale : 36 | Team Overall : 63
Next Games #143 vs Providence Bruins
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Game Center
Rockford IceHogs
3-3-2, 8pts
4
FINAL
0 Peoria Rivermen
3-5-0, 6pts
Team Stats
OTL1StreakW1
2-2-0Home Record1-3-0
1-1-2Home Record2-2-0
3-3-2Last 10 Games3-5-0
1.88Goals Per Game1.50
1.88Goals Against Per Game1.63
18.18%Power Play Percentage5.26%
83.33%Penalty Kill Percentage90.24%
Rockford IceHogs
3-3-2, 8pts
2
FINAL
3 Charlotte Checkers
6-3-0, 12pts
Team Stats
OTL1StreakOTW1
2-2-0Home Record2-2-0
1-1-2Home Record4-1-0
3-3-2Last 10 Games6-3-0
1.88Goals Per Game2.33
1.88Goals Against Per Game1.89
18.18%Power Play Percentage18.87%
83.33%Penalty Kill Percentage86.11%
Rockford IceHogs
3-3-2, 8pts
Day 27
Providence Bruins
2-4-2, 6pts
Team Stats
OTL1StreakOTL1
2-2-0Home Record1-2-1
1-1-2Away Record1-2-1
3-3-2Last 10 Games2-4-2
1.88Goals Per Game1.75
1.88Goals Against Per Game1.75
18.18%Power Play Percentage17.65%
83.33%Penalty Kill Percentage83.33%
Chicago Wolves
2-6-0, 4pts
Day 28
Rockford IceHogs
3-3-2, 8pts
Team Stats
W1StreakOTL1
2-3-0Home Record2-2-0
0-3-0Away Record1-1-2
2-6-0Last 10 Games3-3-2
1.63Goals Per Game1.88
2.13Goals Against Per Game1.88
16.67%Power Play Percentage18.18%
93.75%Penalty Kill Percentage83.33%
Rockford IceHogs
3-3-2, 8pts
Day 33
Chicago Wolves
2-6-0, 4pts
Team Stats
OTL1StreakW1
2-2-0Home Record2-3-0
1-1-2Away Record0-3-0
3-3-2Last 10 Games2-6-0
1.88Goals Per Game1.63
1.88Goals Against Per Game1.63
18.18%Power Play Percentage16.67%
83.33%Penalty Kill Percentage93.75%
Team Leaders
Goals
Buddy Robinson
3
Assists
Alex Limoges
5
Points
Alex Limoges
6
Plus/Minus
Dale Weise
5
Wins
Keith Kinkaid
3
Save Percentage
Keith Kinkaid
0.893

Team Stats
Goals For
15
1.88 GFG
Shots For
148
18.50 Avg
Power Play Percentage
18.2%
8 GF
Offensive Zone Start
40.6%
Goals Against
15
1.88 GAA
Shots Against
140
17.50 Avg
Penalty Kill Percentage
83.3%%
6 GA
Defensive Zone Start
41.5%
Team Info

General Manager
DivisionDivision 5
ConferenceConference 2
CaptainVictor Mete
Assistant #1Conor Sheary
Assistant #2Dean Kukan


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team39
Farm Team18
Contract Limit57 / 250
Prospects0


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)
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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.
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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
1Conor Sheary (A)XX100.0057359473657889685966695767777036386603143,146,000$
2Isac LundestromX100.0056359268728882677865646966636581386602342,047,000$
3Alex LimogesX100.0058438365788082667364676368676453386502542,354,000$
4Buddy RobinsonXX100.0080768461997376625661646563786836416503123,999,000$
5Tom KuhnhacklXX100.0075359565786972615864637462777349386503150$
6Dale WeiseX100.0091697867807578625763596163827336386403542,274,000$
7Gabriel BourqueXX100.0088359366727776625963616462797145386403222,560,000$
8Brendan PerliniXX100.0059359268867273665563615864696582386302741,589,000$
9Jordan NolanXXX100.0078557157878893576058576157807230386303423,552,000$
10Rhett GardnerX100.0082369162887276637562615662696557386302742,542,000$
11Victor Mete (C)X100.0058368976688582733071636852666871386802522,462,000$
12Dean Kukan (A)X100.0073368763788279653068596352756836386603044,302,000$
13Yannick WeberX100.0071369064728074623063576149827439386503430$
14Louie BelpedioX100.0081359561718075603059566549696862386402721,569,000$
15Jake KulevichX100.0081438453907681533052565946756836386303030$
16Jordan GrossX100.0056359364698480633067576050716642386302811,892,000$
17David WarsofskyX100.0063547362657681593065585549797153386203342,691,000$
Scratches
1Nick CaamanoXX100.0082468163837973625963615562656356326202521,642,000$
2Brett SeneyXX100.0058359563617677646962605863696558326102742,041,000$
3Curtis DouglasX100.0089837756997176547258556354616362326102312,151,000$
4Joel LowryX100.0064517458738893576260565857787045326103112,952,000$
5Max VeronneauX100.0054359261767771625760635562716642326102721,465,000$
6Jonathan GrudenX100.0059398660697883576059585659616365326002321,846,000$
7Cole ReinhardtX100.0064378956747883575556585459616252325902330$
8Julien NantelX100.0064359156736772565554595658696547325802752,142,000$
9Shawn McBrideXXX100.0072359354816570535654535752716642325802841,591,000$
10Cole CoskeyX100.0063398756726773575554585356636249325702421,314,000$
11Jan DrozgX100.0066398754757075545552575456636249325702440$
12Gabriel FontaineX100.0069388853786065535654545554676448325602640$
13Olle AlsingX100.0058359564667776623060576150696556326202741,931,000$
14Nathan PaetschX100.0068359256777166543053555847887821326104022,793,000$
15Jalen ChatfieldX100.0057467958757977563058535747696542326002740$
16Michael KimX100.0063378456727771543053505546716642325902811,800,000$
17Josh HealeyX100.0066755452757176523053525445737037325802911,144,000$
TEAM AVERAGE100.00684386617676776050605959567167493562
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Keith Kinkaid100.007677768175747675747675808640387503425,157,578$
2Garret Sparks100.007185838470697170697170758142387203042,915,250$
Scratches
1Ukko-Pekka Luukkonen100.007180779070697170697170636774327102430$
2Matt Tomkins100.006978768268676968676968737742326902922,105,385$
3Trevin Kozlowski100.006275739061606261606261677153326502620$
TEAM AVERAGE100.0070797785696870696870697276503470
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Alex LimogesRockford IceHogs (CHI)C8156520113185105.56%114618.27033333000010050.67%15000000.8200000001
2Dale WeiseRockford IceHogs (CHI)RW824651802811193910.53%114518.23213733000001042.86%700000.8200000111
3Isac LundestromRockford IceHogs (CHI)C8246-42072126787.69%119224.071235300000340049.74%19300000.6200000001
4Buddy RobinsonRockford IceHogs (CHI)LW/RW83144115812831237.50%116120.181011310000171070.00%1000000.5000100110
5Dean KukanRockford IceHogs (CHI)D8134-5100144101210.00%516921.14112934000026000%000000.4700000000
6Louie BelpedioRockford IceHogs (CHI)D8134460174132100.00%516020.01134129000025000%000000.5000000011
7Yannick WeberRockford IceHogs (CHI)D81344405272014.29%316220.34022629000026000%000000.4900000010
8Tom KuhnhacklRockford IceHogs (CHI)LW/RW8123-400188931311.11%417822.321122290000250036.36%1100000.3400000000
9Conor ShearyRockford IceHogs (CHI)LW/RW8112-50021011289.09%014818.621123300000180029.17%2400000.2700000000
10Jordan GrossRockford IceHogs (CHI)D811204003100100.00%212015.080000100000100%000000.3300000000
11Victor MeteRockford IceHogs (CHI)D8112-50031384712.50%819624.53011634000029000%000000.2000000000
12Brendan PerliniRockford IceHogs (CHI)LW/RW8000-200087360%011714.64000220000000100.00%10000000000000
13David WarsofskyRockford IceHogs (CHI)D8000-120100100%0344.310000100005000%00000000000000
14Gabriel BourqueRockford IceHogs (CHI)LW/RW8000-24012917360%212816.0400012000030025.00%40000000000000
15Jake KulevichRockford IceHogs (CHI)D80000801101220%212215.310000000006000%00000000000000
16Jordan NolanRockford IceHogs (CHI)C/LW/RW8000-2801584230%213416.76000010000160041.18%850000000000000
17Rhett GardnerRockford IceHogs (CHI)C8000000641000%0273.4000000000000048.15%270000000000000
Team Total or Average136152843-8795148130148448810.14%37234517.25815234632600002363047.46%51200000.3700100244
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
1Keith KinkaidRockford IceHogs (CHI)83320.8931.8648302151400000080100
Team Total or Average83320.8931.864830215140000080100


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 Waiver Possible Contract Type Current Salary Salary 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
Alex LimogesRockford IceHogs (CHI)C259/16/1997No201 Lbs6 ft1NoNoNoNo4Pro & Farm2,354,000$0$0$No2,354,000$2,354,000$2,354,000$Link
Brendan PerliniRockford IceHogs (CHI)LW/RW274/27/1996No211 Lbs6 ft3NoNoNoNo4Pro & Farm1,589,000$0$0$No1,589,000$1,589,000$1,589,000$Link
Brett SeneyRockford IceHogs (CHI)C/LW272/28/1996No156 Lbs5 ft9NoNoNoNo4Pro & Farm2,041,000$0$0$No2,041,000$2,041,000$2,041,000$Link
Buddy RobinsonRockford IceHogs (CHI)LW/RW319/30/1991No232 Lbs6 ft6NoNoNoNo2Pro & Farm3,999,000$0$0$No3,999,000$Link
Cole CoskeyRockford IceHogs (CHI)RW246/1/1999No190 Lbs6 ft0NoNoNoNo2Pro & Farm1,314,000$0$0$No1,314,000$Link
Cole ReinhardtRockford IceHogs (CHI)LW232/1/2000No200 Lbs6 ft0NoNoNoNo3Pro & Farm0$0$NoLink
Conor ShearyRockford IceHogs (CHI)LW/RW316/8/1992No178 Lbs5 ft9NoNoNoNo4Pro & Farm3,146,000$0$0$No3,146,000$3,146,000$3,146,000$Link / NHL Link
Curtis DouglasRockford IceHogs (CHI)C233/6/2000No235 Lbs6 ft9NoNoNoNo1Pro & Farm2,151,000$0$0$NoLink
Dale WeiseRockford IceHogs (CHI)RW358/5/1988No196 Lbs6 ft2NoNoNoNo4Pro & Farm2,274,000$0$0$No2,274,000$2,274,000$2,274,000$Link
David WarsofskyRockford IceHogs (CHI)D335/30/1990No170 Lbs5 ft9NoNoNoNo4Pro & Farm2,691,000$0$0$No2,691,000$2,691,000$2,691,000$Link
Dean KukanRockford IceHogs (CHI)D307/8/1993No186 Lbs6 ft2NoNoNoNo4Pro & Farm4,302,000$0$0$No4,302,000$4,302,000$4,302,000$Link / NHL Link
Gabriel BourqueRockford IceHogs (CHI)LW/RW329/23/1990No206 Lbs5 ft10NoNoNoNo2Pro & Farm2,560,000$0$0$No2,560,000$Link
Gabriel FontaineRockford IceHogs (CHI)LW264/30/1997No201 Lbs6 ft1NoNoNoNo4Pro & Farm0$0$NoLink
Garret SparksRockford IceHogs (CHI)G306/28/1993No201 Lbs6 ft3NoNoNoNo4Pro & Farm2,915,250$0$0$No2,915,250$2,915,250$2,915,250$Link
Isac LundestromRockford IceHogs (CHI)C2311/6/1999No187 Lbs6 ft0NoNoNoNo4Pro & Farm2,047,000$0$0$No2,047,000$2,047,000$2,047,000$Link / NHL Link
Jake KulevichRockford IceHogs (CHI)D302/13/1993No216 Lbs6 ft4NoNoNoNo3Pro & Farm0$0$NoLink
Jalen ChatfieldRockford IceHogs (CHI)D275/15/1996No188 Lbs6 ft1NoNoNoNo4Pro & Farm0$0$NoLink
Jan DrozgRockford IceHogs (CHI)RW244/1/1999No174 Lbs6 ft2NoNoNoNo4Pro & Farm0$0$NoLink
Joel LowryRockford IceHogs (CHI)LW3111/15/1991No180 Lbs6 ft1NoNoNoNo1Pro & Farm2,952,000$0$0$NoLink
Jonathan GrudenRockford IceHogs (CHI)LW235/4/2000No172 Lbs6 ft0NoNoNoNo2Pro & Farm1,846,000$0$0$No1,846,000$Link
Jordan GrossRockford IceHogs (CHI)D285/9/1995No190 Lbs5 ft10NoNoNoNo1Pro & Farm1,892,000$0$0$NoLink
Jordan NolanRockford IceHogs (CHI)C/LW/RW346/23/1989No219 Lbs6 ft3NoNoNoNo2Pro & Farm3,552,000$0$0$No3,552,000$Link
Josh HealeyRockford IceHogs (CHI)D297/14/1994No205 Lbs6 ft0NoNoNoNo1Pro & Farm1,144,000$0$0$NoLink
Julien NantelRockford IceHogs (CHI)LW279/6/1996No193 Lbs6 ft0NoNoNoNo5Pro & Farm2,142,000$0$0$No2,142,000$2,142,000$2,142,000$2,142,000$Link
Keith KinkaidRockford IceHogs (CHI)G347/4/1989No186 Lbs6 ft3NoNoNoNo2Pro & Farm5,157,578$0$0$No5,157,578$Link
Louie BelpedioRockford IceHogs (CHI)D275/14/1996No191 Lbs5 ft11NoNoNoNo2Pro & Farm1,569,000$0$0$No1,569,000$Link
Matt TomkinsRockford IceHogs (CHI)G296/19/1994No194 Lbs6 ft3NoNoNoNo2Pro & Farm2,105,385$0$0$No2,105,385$Link
Max VeronneauRockford IceHogs (CHI)RW2712/12/1995No193 Lbs6 ft1NoNoNoNo2Pro & Farm1,465,000$0$0$No1,465,000$Link
Michael KimRockford IceHogs (CHI)D286/28/1995No200 Lbs5 ft11NoNoNoNo1Pro & Farm1,800,000$0$0$NoLink
Nathan PaetschRockford IceHogs (CHI)D403/30/1983No198 Lbs6 ft1NoNoNoNo2Pro & Farm2,793,000$0$0$No2,793,000$Link
Nick CaamanoRockford IceHogs (CHI)LW/RW259/7/1998No200 Lbs6 ft3NoNoNoNo2Pro & Farm1,642,000$0$0$No1,642,000$Link
Olle AlsingRockford IceHogs (CHI)D275/1/1996No170 Lbs5 ft11NoNoNoNo4Pro & Farm1,931,000$0$0$No1,931,000$1,931,000$1,931,000$Link
Rhett GardnerRockford IceHogs (CHI)C272/28/1996No225 Lbs6 ft3NoNoNoNo4Pro & Farm2,542,000$0$0$No2,542,000$2,542,000$2,542,000$Link
Shawn McBrideRockford IceHogs (CHI)C/LW/RW288/23/1995No201 Lbs6 ft2NoNoNoNo4Pro & Farm1,591,000$0$0$No1,591,000$1,591,000$1,591,000$Link
Tom KuhnhacklRockford IceHogs (CHI)LW/RW311/21/1992No190 Lbs6 ft2NoNoNoNo5Pro & Farm0$0$NoLink
Trevin KozlowskiRockford IceHogs (CHI)G263/27/1997No220 Lbs6 ft4NoNoNoNo2Pro & Farm0$0$NoLink
Ukko-Pekka LuukkonenRockford IceHogs (CHI)G243/9/1999No220 Lbs6 ft4NoNoNoNo3Pro & Farm0$0$NoLink
Victor MeteRockford IceHogs (CHI)D256/7/1998No184 Lbs5 ft9NoNoNoNo2Pro & Farm2,462,000$0$0$No2,462,000$Link / NHL Link
Yannick WeberRockford IceHogs (CHI)D349/23/1988No200 Lbs5 ft11NoNoNoNo3Pro & Farm0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3928.33196 Lbs6 ft12.901,845,364$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tom KuhnhacklIsac LundestromConor Sheary40122
2Buddy RobinsonAlex LimogesDale Weise30122
3Gabriel BourqueJordan NolanBrendan Perlini20122
4Isac LundestromRhett GardnerTom Kuhnhackl10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteDean Kukan40122
2Yannick WeberLouie Belpedio30122
3Jordan GrossJake Kulevich20122
4David WarsofskyVictor Mete10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tom KuhnhacklIsac LundestromConor Sheary60122
2Buddy RobinsonAlex LimogesDale Weise40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteDean Kukan60122
2Yannick WeberLouie Belpedio40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Isac LundestromTom Kuhnhackl60122
2Conor ShearyBuddy Robinson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteDean Kukan60122
2Yannick WeberLouie Belpedio40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Isac Lundestrom60122Victor MeteDean Kukan60122
2Tom Kuhnhackl40122Yannick WeberLouie Belpedio40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Isac LundestromTom Kuhnhackl60122
2Conor ShearyBuddy Robinson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteDean Kukan60122
2Yannick WeberLouie Belpedio40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tom KuhnhacklIsac LundestromConor ShearyVictor MeteDean Kukan
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tom KuhnhacklIsac LundestromConor ShearyVictor MeteDean Kukan
Extra Forwards
Normal PowerPlayPenalty Kill
Gabriel Bourque, Brendan Perlini, Jordan NolanGabriel Bourque, Brendan PerliniJordan Nolan
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Gross, Jake Kulevich, David WarsofskyJordan GrossJake Kulevich, David Warsofsky
Penalty Shots
Isac Lundestrom, Tom Kuhnhackl, Conor Sheary, Buddy Robinson, Dale Weise
Goalie
#1 : Keith Kinkaid, #2 : Garret Sparks
Custom OT Lines Forwards
Isac Lundestrom, Tom Kuhnhackl, Conor Sheary, Buddy Robinson, Dale Weise, Gabriel Bourque, Gabriel Bourque, Alex Limoges, Brendan Perlini, Jordan Nolan, Rhett Gardner
Custom OT Lines Defensemen
Victor Mete, Dean Kukan, Yannick Weber, Louie Belpedio, Jordan Gross


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
1Charlotte Checkers2010010036-31010000013-21000010023-110.2503690043803851455024810243811327.27%12375.00%09420645.63%10421149.29%459149.45%1881271936210250
2Chicago Wolves11000000101110000001010000000000021.000123014380175145502127625500.00%30100.00%09420645.63%10421149.29%459149.45%1881271936210250
3Chicago Wolves1010000002-2000000000001010000002-200.0000000043801151455022851420500.00%7185.71%09420645.63%10421149.29%459149.45%1881271936210250
4Milwaukee Admirals2010010046-21010000034-11000010012-110.2504711004380415145502318233912325.00%8275.00%09420645.63%10421149.29%459149.45%1881271936210250
5Palm Springs11000000312110000003120000000000021.000369004380285145502742129222.22%10100.00%09420645.63%10421149.29%459149.45%1881271936210250
6Peoria Rivermen11000000404000000000001100000040421.00047110143801351455021431014200.00%50100.00%09420645.63%10421149.29%459149.45%1881271936210250
Total8330020015150422000008804110020077080.5001528430243801485145502140377914844818.18%36683.33%09420645.63%10421149.29%459149.45%1881271936210250
_Since Last GM Reset8330020015150422000008804110020077080.5001528430243801485145502140377914844818.18%36683.33%09420645.63%10421149.29%459149.45%1881271936210250
_Vs Conference7320020015132422000008803100020075280.5711528430243801375145502112326512839820.51%29582.76%09420645.63%10421149.29%459149.45%1881271936210250
_Vs Division33200200431222000004131100020002-281.33348120143805651455024716225719210.53%11190.91%09420645.63%10421149.29%459149.45%1881271936210250

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
88OTL1152843148140377914802
All Games
GPWLOTWOTL SOWSOLGFGA
83302001515
Home Games
GPWLOTWOTL SOWSOLGFGA
422000088
Visitor Games
GPWLOTWOTL SOWSOLGFGA
411020077
Last 10 Games
WLOTWOTL SOWSOL
330200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
44818.18%36683.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
51455024380
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
9420645.63%10421149.29%459149.45%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1881271936210250


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
25Rockford IceHogs1Milwaukee Admirals2ALXBoxScore
423Milwaukee Admirals4Rockford IceHogs3BLBoxScore
945Chicago Wolves0Rockford IceHogs1BWBoxScore
1367Charlotte Checkers3Rockford IceHogs1BLBoxScore
1579Rockford IceHogs0Chicago Wolves2ALBoxScore
19100Palm Springs1Rockford IceHogs3BWBoxScore
21111Rockford IceHogs4Peoria Rivermen0AWBoxScore
23120Rockford IceHogs2Charlotte Checkers3ALXBoxScore
27143Rockford IceHogs-Providence Bruins-
28151Chicago Wolves-Rockford IceHogs-
33174Rockford IceHogs-Chicago Wolves-
34182Wilkes-Barre/Scranton Penguins-Rockford IceHogs-
37196Rockford IceHogs-Milwaukee Admirals-
40211Hershey Bears-Rockford IceHogs-
44233San Antonio Rampage-Rockford IceHogs-
46247Rockford IceHogs-Palm Springs-
50266Rockford IceHogs-Hamilton Bulldogs-
52276Rockford IceHogs-Chicago Wolves-
53285Toronto Marlies-Rockford IceHogs-
58306Oklahoma City Barons-Rockford IceHogs-
62324Rockford IceHogs-Toronto Marlies-
64336Rockford IceHogs-Springfield Falcons-
65347Wilkes-Barre/Scranton Penguins-Rockford IceHogs-
68365Rockford IceHogs-Wilkes-Barre/Scranton Penguins-
70374Rockford IceHogs-Oklahoma City Barons-
71381St. John's-Rockford IceHogs-
76404Rockford IceHogs-St. John's-
78414Connecticut Whale-Rockford IceHogs-
80429Rockford IceHogs-Charlotte Checkers-
82435Rockford IceHogs-Grand Rapids Griffins-
84447Worcester Sharks-Rockford IceHogs-
87468Rockford IceHogs-Rochester Americans-
89477Bridgeport Sound Tigers-Rockford IceHogs-
91489Rockford IceHogs-Hershey Bears-
95506Rockford IceHogs-Chicago Wolves-
96512Abbotsford Heat-Rockford IceHogs-
101539Rockford IceHogs-Norfolk Admirals-
102543Milwaukee Admirals-Rockford IceHogs-
108574Manchester Monarchs-Rockford IceHogs-
110585Rockford IceHogs-Palm Springs-
114604Hamilton Bulldogs-Rockford IceHogs-
119634Binghamton Senators-Rockford IceHogs-
122652Rockford IceHogs-Connecticut Whale-
125666Houston Aeros-Rockford IceHogs-
127675Rockford IceHogs-Adirondack Phantoms-
132697Portland Pirates-Rockford IceHogs-
137725Albany Devils-Rockford IceHogs-
141749Rockford IceHogs-Milwaukee Admirals-
143758Rockford IceHogs-Abbotsford Heat-
144765Norfolk Admirals-Rockford IceHogs-
148789Rockford IceHogs-Houston Aeros-
149794Adirondack Phantoms-Rockford IceHogs-
154821Hershey Bears-Rockford IceHogs-
157842Rockford IceHogs-Peoria Rivermen-
159851Grand Rapids Griffins-Rockford IceHogs-
165878Rockford IceHogs-Albany Devils-
166888Rochester Americans-Rockford IceHogs-
169900Rockford IceHogs-Manchester Monarchs-
171914Rockford IceHogs-Binghamton Senators-
172923San Antonio Rampage-Rockford IceHogs-
179951Lake Erie Monsters-Rockford IceHogs-
182964Rockford IceHogs-Providence Bruins-
185982Palm Springs-Rockford IceHogs-
188997Rockford IceHogs-Texas Stars-
1911013Rockford IceHogs-Bridgeport Sound Tigers-
1931020Chicago Wolves-Rockford IceHogs-
1981048Providence Bruins-Rockford IceHogs-
Trade Deadline --- Trades can’t be done after this day is simulated!
2031072Chicago Wolves-Rockford IceHogs-
2051084Rockford IceHogs-Binghamton Senators-
2081104Rockford IceHogs-Worcester Sharks-
2101113Texas Stars-Rockford IceHogs-
2141133Rockford IceHogs-Portland Pirates-
2171143Charlotte Checkers-Rockford IceHogs-
2221170Springfield Falcons-Rockford IceHogs-
2261194Milwaukee Admirals-Rockford IceHogs-
2281207Rockford IceHogs-Lake Erie Monsters-
2331227Syracuse Crunch-Rockford IceHogs-
2381254Peoria Rivermen-Rockford IceHogs-
2431280Rockford IceHogs-Worcester Sharks-
2451287Peoria Rivermen-Rockford IceHogs-
2461289Rockford IceHogs-Syracuse Crunch-
2491301Rockford IceHogs-San Antonio Rampage-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
37 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 7,196,922$ 7,196,922$ 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$ 227 28,559$ 6,482,893$




Rockford 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

Rockford IceHogs Goalies Stat Leaders (Regular Season)

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

Rockford 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

Rockford 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

Rockford IceHogs Goalies Stat Leaders (Play-Off)

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