IceHogs

GP: 69 | W: 10 | L: 53 | OTL: 6 | P: 26
GF: 170 | GA: 404 | PP%: 15.13% | PK%: 75.47%
GM : Joanick Boilard | Morale : 50 | Team Overall : 64
Next Games #1124 vs Wolves

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
1Thomas Bordeleau0X100.005636916765897569666862616561637550640
2Joona Luoto0X100.007439946285866964555862636766684250630
3Tristen Nielsen0X100.006039786069837959686158565963654350600
4Alex Vlasic0X100.007840896392827361306259665062647450660
5Kurtis MacDermid0XX100.007989646196717957306355564870723650640
6Alexander Peters0X100.008145675890727155305756614767695650630
7Zachary Hayes0X100.008540725688747855305253574664664350620
Scratches
TEAM AVERAGE100.00734779618480756044605860556567535063
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
1Jordan Papirny100.00725556717270727170727167773750680
Scratches
TEAM AVERAGE100.0072555671727072717072716777375068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dan Bylsma75717460817571USA5291,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Dylan SambergChicago BlackhawksD44531361345572426125488.20%6094521.49134241060001136110.00%000000.7600001031
Team Total or Average44531361345572426125488.20%6094521.49134241060001136110.00%000000.7600001031
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
Alex VlasicD222001-06-05No199 Lbs6 ft6NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Alexander PetersD271996-07-02No220 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joona LuotoLW261997-09-26No210 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jordan PapirnyG281996-04-10No169 Lbs6 ft1NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Kurtis MacDermidLW/D301994-03-25No233 Lbs6 ft5NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Thomas BordeleauC222002-01-03No175 Lbs5 ft10NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Tristen NielsenC242000-02-23No192 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Zachary HayesD241999-04-24No219 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
825.38202 Lbs6 ft22.13425,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6926L7170327497192435611017606128800
All Games
GPWLOTWOTL SOWSOLGFGA
696534303170404
Home Games
GPWLOTWOTL SOWSOLGFGA
35326230191211
Visitor Games
GPWLOTWOTL SOWSOLGFGA
34327200279193
Last 10 Games
WLOTWOTL SOWSOL
091000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2714115.13%2656575.47%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
645608645406848507
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
631166537.90%905251436.00%444115238.54%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10537072390481720290


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
4 - 2023-08-1311IceHogs5Barracuda4WXBoxScore
5 - 2023-08-1415IceHogs5Barracuda3WBoxScore
12 - 2023-08-2154Wolves5IceHogs4LXXBoxScore
18 - 2023-08-2781Wild6IceHogs4LBoxScore
19 - 2023-08-2895Griffins5IceHogs1LBoxScore
26 - 2023-09-04123IceHogs1Moose6LBoxScore
27 - 2023-09-05140IceHogs1Moose6LBoxScore
30 - 2023-09-08145Stars5IceHogs3LBoxScore
32 - 2023-09-10157Wild5IceHogs4LBoxScore
34 - 2023-09-12177IceHogs3Wolves1WBoxScore
39 - 2023-09-17198Admirals9IceHogs4LBoxScore
40 - 2023-09-18213IceHogs2Wild6LBoxScore
41 - 2023-09-19221IceHogs2Wild4LBoxScore
44 - 2023-09-22236Moose6IceHogs1LBoxScore
46 - 2023-09-24245Admirals10IceHogs2LBoxScore
47 - 2023-09-25257IceHogs2Admirals10LBoxScore
53 - 2023-10-01283IceHogs0Moose8LBoxScore
55 - 2023-10-03305IceHogs1Moose9LBoxScore
57 - 2023-10-05310IceHogs2Wild8LBoxScore
60 - 2023-10-08322Gulls7IceHogs2LBoxScore
61 - 2023-10-09338Gulls7IceHogs2LBoxScore
67 - 2023-10-15366Wild6IceHogs3LBoxScore
68 - 2023-10-16375Wild3IceHogs4WBoxScore
69 - 2023-10-17383IceHogs4Wolves7LBoxScore
72 - 2023-10-20395IceHogs2Gulls9LBoxScore
74 - 2023-10-22413IceHogs2Gulls5LBoxScore
79 - 2023-10-27433Griffins7IceHogs1LBoxScore
82 - 2023-10-30455IceHogs0Admirals8LBoxScore
83 - 2023-10-31464Admirals7IceHogs1LBoxScore
88 - 2023-11-05482IceHogs6Stars4WBoxScore
89 - 2023-11-06497IceHogs3Stars5LBoxScore
95 - 2023-11-12522IceHogs1Griffins6LBoxScore
96 - 2023-11-13537IceHogs0Griffins6LBoxScore
102 - 2023-11-19571Wolves5IceHogs4LBoxScore
103 - 2023-11-20583Wild5IceHogs4LXBoxScore
107 - 2023-11-24601IceHogs2Griffins8LBoxScore
109 - 2023-11-26615IceHogs1Admirals7LBoxScore
110 - 2023-11-27632Moose5IceHogs4LXBoxScore
113 - 2023-11-30642Moose4IceHogs1LBoxScore
116 - 2023-12-03661Griffins8IceHogs2LBoxScore
117 - 2023-12-04676Moose7IceHogs2LBoxScore
123 - 2023-12-10692Stars4IceHogs5WXBoxScore
124 - 2023-12-11706Wolves5IceHogs4LXBoxScore
127 - 2023-12-14714Stars4IceHogs2LBoxScore
130 - 2023-12-17730Wolves3IceHogs5WBoxScore
131 - 2023-12-18741Griffins7IceHogs3LBoxScore
133 - 2023-12-20759IceHogs3Wild4LXXBoxScore
135 - 2023-12-22766IceHogs4Wild5LXXBoxScore
137 - 2023-12-24777Stars7IceHogs1LBoxScore
138 - 2023-12-25794Wild1IceHogs3WBoxScore
144 - 2023-12-31824IceHogs2Admirals7LBoxScore
145 - 2024-01-01835IceHogs1Griffins6LBoxScore
152 - 2024-01-08879IceHogs4Wolves5LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11892IceHogs2Stars3LBoxScore
156 - 2024-01-12901IceHogs3Stars6LBoxScore
159 - 2024-01-15923Barracuda9IceHogs5LBoxScore
160 - 2024-01-16934Barracuda10IceHogs1LBoxScore
163 - 2024-01-19945Wolves3IceHogs4WXBoxScore
166 - 2024-01-22971Griffins9IceHogs0LBoxScore
170 - 2024-01-26991IceHogs2Wolves4LBoxScore
172 - 2024-01-281001IceHogs1Admirals3LBoxScore
173 - 2024-01-291015IceHogs5Wolves4WXBoxScore
176 - 2024-02-011024Admirals6IceHogs1LBoxScore
179 - 2024-02-041039IceHogs2Griffins5LBoxScore
180 - 2024-02-051054Griffins10IceHogs0LBoxScore
183 - 2024-02-081069IceHogs4Wild6LBoxScore
186 - 2024-02-111079IceHogs1Griffins5LBoxScore
187 - 2024-02-121099Admirals5IceHogs1LBoxScore
188 - 2024-02-131107Admirals6IceHogs3LBoxScore
193 - 2024-02-181124Wolves-IceHogs-
194 - 2024-02-191135IceHogs-Admirals-
195 - 2024-02-201149IceHogs-Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance66,95933,041
Attendance PCT95.66%94.40%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
1 2857 - 95.24% 71,385$2,498,476$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,036,064$ 34,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 51,434$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
71,385$ 3 5,303$ 15,909$




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
12824232050212682155341201802010135107284122140301113310825992684697370501117575228107427168082178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
12824232050212682155341201802010135107284122140301113310825992684697370501117575228107427168082178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
1376264201502175232-573815200020189107-183811220130186125-396117529747213064515917770559583626209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
1376264201502175232-573815200020189107-183811220130186125-396117529747213064515917770559583626209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
147666501112119398-279385320010060193-133381330101259205-1461911920332211045413116730554527580316292569213012612810.73%3118672.35%0462178925.82%651249026.14%295116125.41%11797852587555816324
147666501112119398-279385320010060193-133381330101259205-1461911920332211045413116730554527580316292569213012612810.73%3118672.35%0462178925.82%651249026.14%295116125.41%11797852587555816324
158267201300157453-296413360110074221-147413360020083232-14917157290447000525648205106377146953569104576715283583810.61%33110867.37%1626215829.01%711266226.71%365130627.95%13589182692581878361
158267201300157453-296413360110074221-147413360020083232-14917157290447000525648205106377146953569104576715283583810.61%33110867.37%1626215829.01%711266226.71%365130627.95%13589182692581878361
168257402001151507-356414350100188254-166411390100063253-1901515129644700052484919790644673649399411697091389311319.97%3269969.63%1572190230.07%905289931.22%392133229.43%11467502930588854324
168257402001151507-356414350100188254-166411390100063253-1901515129644700052484919790644673649399411697091389311319.97%3269969.63%1572190230.07%905289931.22%392133229.43%11467502930588854324
177286100300130406-276365300010072208-136363310020058198-1401913025138100046463817960629557605347499960913282442811.48%2727672.06%1556167933.11%797262030.42%356113231.45%10196682548519756289
177286100300130406-276365300010072208-136363310020058198-1401913025138100046463817960629557605347499960913282442811.48%2727672.06%1556167933.11%797262030.42%356113231.45%10196682548519756289
186965304303170404-234353260230191211-120343270200279193-114261703274970068485071924645608645403561101760612882714115.13%2656575.47%2631166537.90%905251436.00%444115238.54%10537072390481720290
Total Regular Season10091927450242761521704826-2656505107368010132511272391-1264504853770141441010432435-1392486217039396109418687886846072503864581388185796640513115991065619098447761513.74%4623112775.62%1493492574936.31%112533375233.34%54201563834.66%1802512260316887244110554738
Playoff
1140400000818-102020000049-52020000049-508132100052196032293511825668240615.00%28775.00%06514046.43%5414736.73%276442.19%9061103314521
1140400000818-102020000049-52020000049-508132100052196032293511825668240615.00%28775.00%06514046.43%5414736.73%276442.19%9061103314521
1240400000624-1820200000610-420200000014-1406111700022288030322614331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
1240400000624-1820200000610-420200000014-1406111700022288030322614331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
Total Playoff16016000002884-56808000002038-1880800000846-380284876000148636801241221225221122123201141614.04%962672.92%023452644.49%17653233.08%10826241.22%34723543711617885