WEB CLIENT LEAGUE FILES


Rockford IceHogs


GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Brian Decker | Team Overall : 65
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
1Mark MacMillan (R)XX100.00763280777178756775656275555858050660
2Ryan Kujawinski (R)X100.00743682767679756875636471625555050660
3Daniel Audette (R)X100.00653486786478826970656270605355050650
4Blake Pietila (R)XX100.00813675757877806468616274616255050650
5Nick Lappin (R)X100.00703592737477736666636271635351050640
6Matt Iacopelli (R)XX100.00743092708072706568626369655858050640
7Paul Bittner (R)X100.00763488748174726566626268645553050640
8Anthony Richard (R)XX100.00663478776676746866646570675855050640
9Conor Garland (R)X100.00653480786475736962656071635653050640
10Nicolas Aube-Kubel (R)X100.00733380776978816567626172585454050640
11Evan Rodrigues (R)XXX100.00723384767176726665636168605552050630
12Andrew Poturalski (R)X100.00583289766273686671626269625352050620
13Tommy Cross (R) (A)X100.00775774727879776530635873507270050680
14Robert Bortuzzo (C)X100.00715873738080746030584073588280050670
15Andreas Englund (R)X100.00865577747781826230585473355250050670
16Andy Welinski (R)X100.00743085767380786430635972495050050660
17Sergei Boikov (R)X100.00774277737780806230585472345353050660
18Parker Wotherspoon (R)X100.00683886766973706530626070525357050650
Scratches
1Colby Cave (R)XX100.00683487717374686572616168615354050630
2Nick Moutrey (R)XXX100.00693979727373586070565770594346050600
3Frederick Gaudreau (R)XXX100.00703289746672575971575068544745050590
4Daniel Walcott (R)X100.00743774756775626130575168515152050630
5Joonas Lyytinen (R)X100.00623076766570666230595068455555050620
6Tommy Vannelli (R)X100.00633081766473656030584168474545050610
TEAM AVERAGE100.0071378275727672645461587056555505064
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
1Ken Appleby (R)100.0080747984817978767875785254050740
2Scott Wedgewood (R)100.0074627379737373747570744849050690
Scratches
1Kasimir Kaskisuo (R)100.0078687283786768727168714747050680
TEAM AVERAGE100.007768758277737374757174495005070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Gordon77777477887873USA553700,000$


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
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Andreas EnglundRockford IceHogs (CHI)D221/21/1996 10:59:09 AMYes189 Lbs6 ft3NoNoNo2RFAPro & Farm800,000$800,000$Link / NHL Link
Andrew PoturalskiRockford IceHogs (CHI)C241/14/1994 7:44:40 AMYes180 Lbs5 ft10NoNoNo1RFAPro & Farm1,050,000$Link / NHL Link
Andy WelinskiRockford IceHogs (CHI)D254/27/1993 11:00:39 AMYes206 Lbs6 ft1NoNoNo2RFAPro & Farm700,000$700,000$Link / NHL Link
Anthony RichardRockford IceHogs (CHI)C/LW2212/20/1996 4:13:21 AMYes163 Lbs5 ft10NoNoNo3RFAPro & Farm700,000$700,000$700,000$Link / NHL Link
Blake PietilaRockford IceHogs (CHI)LW/RW252/20/1993 7:47:58 AMYes200 Lbs5 ft11NoNoNo1RFAPro & Farm600,000$Link / NHL Link
Colby CaveRockford IceHogs (CHI)C/LW2412/26/1994 9:46:58 AMYes200 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$Link / NHL Link
Conor GarlandRockford IceHogs (CHI)RW223/11/1996 4:14:56 AMYes165 Lbs5 ft10NoNoNo3RFAPro & Farm650,000$650,000$650,000$Link / NHL Link
Daniel AudetteRockford IceHogs (CHI)C225/6/1996 11:04:34 AMYes170 Lbs5 ft9NoNoNo2RFAPro & Farm650,000$650,000$Link / NHL Link
Daniel WalcottRockford IceHogs (CHI)D242/19/1994 7:44:01 AMYes174 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$Link / NHL Link
Evan RodriguesRockford IceHogs (CHI)C/LW/RW257/28/1993 9:57:51 AMYes182 Lbs5 ft11NoNoNo2RFAPro & Farm900,000$900,000$Link / NHL Link
Frederick GaudreauRockford IceHogs (CHI)C/LW/RW255/1/1993 8:27:59 AMYes179 Lbs6 ft0NoNoNo1RFAPro & Farm650,000$Link / NHL Link
Joonas LyytinenRockford IceHogs (CHI)D234/4/1995 4:16:35 AMYes154 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$500,000$500,000$NHL Link
Kasimir KaskisuoRockford IceHogs (CHI)RW2510/2/1993 11:00:39 AMYes194 Lbs6 ft3NoNoNo1RFAPro & Farm600,000$Link / NHL Link
Ken ApplebyRockford IceHogs (CHI)D234/10/1995 12:37:58 PMYes210 Lbs6 ft4NoNoNo1RFAPro & Farm900,000$Link / NHL Link
Mark MacMillanRockford IceHogs (CHI)C/RW261/23/1992 7:37:45 AMYes182 Lbs6 ft0NoNoNo1RFAPro & Farm600,000$NHL Link
Matt IacopelliRockford IceHogs (CHI)LW/RW245/15/1994 4:10:03 AMYes207 Lbs6 ft2NoNoNo3RFAPro & Farm700,000$700,000$700,000$Link / NHL Link
Nick LappinRockford IceHogs (CHI)RW2611/1/1992 5:10:05 AMYes175 Lbs6 ft1NoNoNo1RFAPro & Farm850,000$Link / NHL Link
Nick MoutreyRockford IceHogs (CHI)C/LW/RW236/24/1995 7:51:18 AMYes218 Lbs6 ft3NoNoNo1RFAPro & Farm600,000$Link / NHL Link
Nicolas Aube-KubelRockford IceHogs (CHI)RW225/10/1996 11:07:15 AMYes187 Lbs5 ft11NoNoNo2RFAPro & Farm800,000$800,000$Link / NHL Link
Parker WotherspoonRockford IceHogs (CHI)D218/24/1997 4:17:55 AMYes168 Lbs6 ft0NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link / NHL Link
Paul BittnerRockford IceHogs (CHI)LW2211/4/1996 4:11:55 AMYes214 Lbs6 ft4NoNoNo3RFAPro & Farm825,000$825,000$825,000$Link / NHL Link
Robert BortuzzoRockford IceHogs (CHI)D293/18/1989 4:55:40 AMNo216 Lbs6 ft4NoNoNo1UFAPro & Farm800,000$Link / NHL Link
Ryan KujawinskiRockford IceHogs (CHI)C233/30/1995 11:08:59 AMYes205 Lbs6 ft2NoNoNo2RFAPro & Farm800,000$800,000$Link / NHL Link
Scott WedgewoodRockford IceHogs (CHI)C/LW/RW268/14/1992 8:25:35 AMYes195 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Sergei BoikovRockford IceHogs (CHI)D221/24/1996 11:03:17 AMYes200 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$500,000$Link / NHL Link
Tommy CrossRockford IceHogs (CHI)D299/12/1989 3:06:59 AMYes205 Lbs6 ft3NoNoNo2UFAPro & Farm1,320,000$1,320,000$Link / NHL Link
Tommy VannelliRockford IceHogs (CHI)D231/26/1995 9:12:08 AMYes165 Lbs6 ft2NoNoNo2RFAPro & Farm700,000$700,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2723.96189 Lbs6 ft11.85740,556$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Blake PietilaRyan KujawinskiMark MacMillan25122
2Matt IacopelliDaniel AudetteNicolas Aube-Kubel25122
3Paul BittnerAnthony RichardNick Lappin25122
4Ryan KujawinskiEvan RodriguesConor Garland25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy CrossAndreas Englund25122
2Robert BortuzzoAndy Welinski25122
3Sergei BoikovParker Wotherspoon25122
4Tommy CrossAndreas Englund25122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Blake PietilaRyan KujawinskiMark MacMillan50122
2Matt IacopelliDaniel AudetteNicolas Aube-Kubel50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy CrossAndreas Englund50122
2Robert BortuzzoAndy Welinski50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan KujawinskiMark MacMillan50122
2Blake PietilaDaniel Audette50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy CrossAndreas Englund50122
2Robert BortuzzoAndy Welinski50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Kujawinski50122Tommy CrossAndreas Englund50122
2Mark MacMillan50122Robert BortuzzoAndy Welinski50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan KujawinskiMark MacMillan50122
2Blake PietilaDaniel Audette50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy CrossAndreas Englund50122
2Robert BortuzzoAndy Welinski50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Blake PietilaRyan KujawinskiMark MacMillanTommy CrossAndreas Englund
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Blake PietilaRyan KujawinskiMark MacMillanTommy CrossAndreas Englund
Extra Forwards
Normal PowerPlayPenalty Kill
Andrew Poturalski, Nick Lappin, Conor GarlandAndrew Poturalski, Nick LappinConor Garland
Extra Defensemen
Normal PowerPlayPenalty Kill
Sergei Boikov, Parker Wotherspoon, Robert BortuzzoSergei BoikovParker Wotherspoon, Robert Bortuzzo
Penalty Shots
Ryan Kujawinski, Mark MacMillan, Blake Pietila, Daniel Audette, Matt Iacopelli
Goalie
#1 : Ken Appleby, #2 : Scott Wedgewood


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,999,500$ 1,968,583$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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