´╗┐

Ice Hogs

GP: 26 | W: 15 | L: 11 | OTL: 0 | P: 30
GF: 83 | GA: 79 | PP%: 43.48% | PK%: 72.28%
GM : Glenn Penny | Morale : 50 | Team Overall : 58
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
1Brett ConnollyXX100.007543877869628567406372572567676950640
2Christoph BertschyXX100.007266857166808659745657625444446350600
3Quentin Shore (R)XX100.007769946769555845563846614444445350520
4Zach Trotman (R)X100.008380897180515251253946684453535650590
5Matt TaorminaX100.007365916565687060256441633944445850590
Scratches
1Erik Cernak (R)X100.007576736676707747253741603944445250570
2Thomas Schemitsch (R)X100.007977836177636750253649634744445650570
TEAM AVERAGE100.00766886687264715439485062424949585058
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Brett ConnollyIce Hogs (CHI)LW/RW2625164151002433170488414.71%748618.711382136271125813147.41%2704215021.69000001330
2Christoph BertschyIce Hogs (CHI)C/RW2611223355240163993427511.83%2147518.276101613271013792056.79%6111223001.3900332283
3Quentin ShoreIce Hogs (CHI)C/RW26268342302623237178.70%1142916.511231261123550050.00%70111000.3700123036
4Erik CernakIce Hogs (CHI)D18011-35325974130.00%1131817.710000000003000.00%029000.0600401014
Team Total or Average963845831015795751022909817913.10%50170917.812020405082325112195153.63%9515758020.9700856151513
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
Team Total or Average0.0000.0000.000


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 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
Brett ConnollyIce Hogs (CHI)LW/RW261993-05-02No194 Lbs6 ft3NoNoNo1ELCPro & Farm950,000$0$0$NoLink
Christoph BertschyIce Hogs (CHI)C/RW251994-04-04No186 Lbs5 ft10NoNoNo1ELCPro & Farm500,000$0$0$NoLink
Erik CernakIce Hogs (CHI)D211997-05-28Yes203 Lbs6 ft3NoNoNo3ELCPro & Farm850,000$0$0$NoLink
Matt TaorminaIce Hogs (CHI)D311987-10-20No188 Lbs5 ft10NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink
Quentin ShoreIce Hogs (CHI)C/RW241994-05-25Yes183 Lbs6 ft2NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Thomas SchemitschIce Hogs (CHI)D221996-10-25Yes200 Lbs6 ft4NoNoNo2ELCPro & Farm700,000$0$0$NoLink
Zach TrotmanIce Hogs (CHI)D281990-08-26Yes216 Lbs6 ft3NoNoNo2RFAPro & Farm1,000,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
725.29196 Lbs6 ft21.86785,714$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett ConnollyChristoph BertschyQuentin Shore40122
230122
3Christoph BertschyBrett ConnollyQuentin Shore20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brett ConnollyChristoph BertschyQuentin Shore60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brett ConnollyChristoph Bertschy60122
2Quentin Shore40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brett Connolly6012260122
2Christoph Bertschy4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett ConnollyChristoph Bertschy60122
2Quentin Shore40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brett ConnollyChristoph BertschyQuentin Shore
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brett ConnollyChristoph BertschyQuentin Shore
Extra Forwards
Normal PowerPlayPenalty Kill
Quentin Shore, Brett Connolly, Christoph BertschyQuentin Shore, Brett ConnollyChristoph Bertschy
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
Brett Connolly, Christoph Bertschy, Quentin Shore, ,
Goalie
#1 : , #2 :


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
1 Admirals7430000023203330000001349413000001016-680.5712338611115333232131352232082220963798118844.44%22577.27%221641352.30%27550654.35%20643647.25%571384653211369172
2Americans734000002127-6321000001183413000001019-960.42921375800153332313613522320822187581026517529.41%27581.48%021641352.30%27550654.35%20643647.25%571384653211369172
3Barracuda64200000151323210000054132100000109180.66715233800153332311213522320822151542735915746.67%35780.00%121641352.30%27550654.35%20643647.25%571384653211369172
Total26151100000837941293000004026141468000004353-10300.5778314022311153332358813522320822763252588264693043.48%1012872.28%421641352.30%27550654.35%20643647.25%571384653211369172
5Wolves6420000024195321000001110132100000139480.667244266001533323127135223208222167713459191052.63%171135.29%121641352.30%27550654.35%20643647.25%571384653211369172
_Since Last GM Reset26151100000837941293000004026141468000004353-10300.5778314022311153332358813522320822763252588264693043.48%1012872.28%421641352.30%27550654.35%20643647.25%571384653211369172
_Vs Conference1912700000625210972000002918111055000003334-1240.6326210316511153332345213522320822576194486199522548.08%742368.92%421641352.30%27550654.35%20643647.25%571384653211369172
_Vs Division1385000004739865100000241410734000002325-2160.615478012711153332334013522320822425140213140371848.65%391658.97%321641352.30%27550654.35%20643647.25%571384653211369172

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2630L28314022358876325258826411
All Games
GPWLOTWOTL SOWSOLGFGA
26151100008379
Home Games
GPWLOTWOTL SOWSOLGFGA
129300004026
Visitor Games
GPWLOTWOTL SOWSOLGFGA
146800004353
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
693043.48%1012872.28%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
135223208221533323
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
21641352.30%27550654.35%20643647.25%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
571384653211369172


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
2 - 2018-10-038Ice Hogs5Wolves1WBoxScore
4 - 2018-10-0516Ice Hogs3Wolves4LBoxScore
6 - 2018-10-0724Wolves6Ice Hogs1LBoxScore
8 - 2018-10-0932Wolves3Ice Hogs6WBoxScore
10 - 2018-10-1140Ice Hogs5Wolves4WXBoxScore
12 - 2018-10-1348Wolves1Ice Hogs4WBoxScore
16 - 2018-10-1759Ice Hogs1 Admirals3LBoxScore
18 - 2018-10-1963Ice Hogs1 Admirals3LBoxScore
20 - 2018-10-2167 Admirals0Ice Hogs4WBoxScore
22 - 2018-10-2371 Admirals2Ice Hogs3WBoxScore
24 - 2018-10-2575Ice Hogs2 Admirals6LBoxScore
26 - 2018-10-2779 Admirals2Ice Hogs6WBoxScore
28 - 2018-10-2983Ice Hogs6 Admirals4WBoxScore
30 - 2018-10-3186Ice Hogs7Barracuda2WBoxScore
32 - 2018-11-0288Ice Hogs3Barracuda2WXBoxScore
34 - 2018-11-0490Barracuda1Ice Hogs0LBoxScore
36 - 2018-11-0692Barracuda2Ice Hogs3WBoxScore
38 - 2018-11-0894Ice Hogs0Barracuda5LBoxScore
40 - 2018-11-1096Barracuda1Ice Hogs2WXBoxScore
43 - 2018-11-1399Ice Hogs0Americans5LBoxScore
44 - 2018-11-14100Ice Hogs3Americans4LXBoxScore
45 - 2018-11-15101Americans1Ice Hogs5WBoxScore
46 - 2018-11-16102Americans3Ice Hogs5WBoxScore
47 - 2018-11-17103Ice Hogs6Americans4WBoxScore
48 - 2018-11-18104Americans4Ice Hogs1LBoxScore
49 - 2018-11-19105Ice Hogs1Americans6LBoxScore



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
26 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 550,000$ 457,500$ 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$ 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
201826151100000837941293000004026141468000004353-10308314022311153332358813522320822763252588264693043.48%1012872.28%421641352.30%27550654.35%20643647.25%571384653211369172
Total Playoff26151100000837941293000004026141468000004353-10308314022311153332358813522320822763252588264693043.48%1012872.28%421641352.30%27550654.35%20643647.25%571384653211369172