IceHogs

GP: 82 | W: 7 | L: 74 | OTL: 1 | P: 15
GF: 151 | GA: 507 | PP%: 9.97% | PK%: 69.63%
GM : Joanick Boilard | Morale : 50 | Team Overall : 62

Filter Tips
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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.
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
1Jonny BrodzinskiXXX100.005843846380697066686564626675684550630
2Blake PietilaXX100.006339865872818660555759565875685150600
3Thomas Di PauliXX100.007242855770687158625960615773675250600
4Zack HayesX100.007852745587818654305552604563623850620
5Ryan CollinsX100.008436825893636856305554604669657050620
6Brayden PachalX100.007056695473768152305653605163624550600
7Connor HobbsX100.006851765477686552305153564567645350580
Scratches
TEAM AVERAGE100.00704679577972755744575659536965515061
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
1Zachary Sawchenko100.00738078747271737271737268725350710
Scratches
TEAM AVERAGE100.0073807874727173727173726872535071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dallas Eakins82837779817667USA5531,600,000$


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
1Conor TimminsChicago BlackhawksD50332001911360.00%310821.71000620000014000.00%000000.5500000001
Team Total or Average50332001911360.00%310821.71000620000014000.00%000000.5500000001
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
Blake PietilaC/LW291993-02-20No200 Lbs5 ft11NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Brayden PachalD221999-08-23No200 Lbs6 ft0NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Connor HobbsD251997-01-04No197 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jonny BrodzinskiC/LW/RW281993-06-19No215 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan CollinsD251996-05-06No216 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Thomas Di PauliC/LW271994-04-29No188 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Zachary SawchenkoG241997-12-30No185 Lbs6 ft1NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Zack HayesD221999-04-24No219 Lbs6 ft3NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
825.25203 Lbs6 ft12.00381,250$



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 :


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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
8215L33151296447197939941169709138900
All Games
GPWLOTWOTL SOWSOLGFGA
825742001151507
Home Games
GPWLOTWOTL SOWSOLGFGA
41435100188254
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41139100063253
Last 10 Games
WLOTWOTL SOWSOL
0100000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
311319.97%3269969.63%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
644673649185248494
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
572190230.07%905289931.22%392133229.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11467502930588854324


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 - 2021-10-013IceHogs1Penguins4LBoxScore
2 - 2021-10-0214IceHogs5Reign3WBoxScore
4 - 2021-10-0430Condors4IceHogs2LBoxScore
6 - 2021-10-0646IceHogs1Bears7LBoxScore
7 - 2021-10-0758Roadrunners5IceHogs6WBoxScore
9 - 2021-10-0978IceHogs1Monsters4LBoxScore
11 - 2021-10-1193Senators7IceHogs2LBoxScore
14 - 2021-10-14112Wolf Pack6IceHogs1LBoxScore
15 - 2021-10-15121IceHogs0Phantoms6LBoxScore
17 - 2021-10-17136IceHogs2Bruins7LBoxScore
19 - 2021-10-19157Condors5IceHogs3LBoxScore
21 - 2021-10-21177Bruins3IceHogs0LBoxScore
22 - 2021-10-22180IceHogs1Wolf Pack6LBoxScore
25 - 2021-10-25200IceHogs2Penguins8LBoxScore
27 - 2021-10-27216Marlies6IceHogs5LBoxScore
29 - 2021-10-29229IceHogs4Reign5LBoxScore
32 - 2021-11-01253Crunch7IceHogs3LBoxScore
33 - 2021-11-02268IceHogs6Moose5WXBoxScore
35 - 2021-11-04283Monsters10IceHogs1LBoxScore
38 - 2021-11-07304Stars5IceHogs3LBoxScore
40 - 2021-11-09317IceHogs0Stars5LBoxScore
42 - 2021-11-11335IceHogs3Wild7LBoxScore
43 - 2021-11-12346Senators8IceHogs2LBoxScore
46 - 2021-11-15366IceHogs3Reign6LBoxScore
47 - 2021-11-16378Marlies5IceHogs2LBoxScore
49 - 2021-11-18396IceHogs1Bears4LBoxScore
51 - 2021-11-20408IceHogs2Phantoms7LBoxScore
52 - 2021-11-21416Eagles4IceHogs5WBoxScore
55 - 2021-11-24439IceHogs1Thunderbirds4LBoxScore
56 - 2021-11-25448Heat7IceHogs3LBoxScore
59 - 2021-11-28473Reign4IceHogs5WBoxScore
61 - 2021-11-30491IceHogs0Checkers7LBoxScore
62 - 2021-12-01505Americans3IceHogs1LBoxScore
64 - 2021-12-03522IceHogs0Rocket8LBoxScore
66 - 2021-12-05537Bruins9IceHogs2LBoxScore
69 - 2021-12-08556IceHogs1Monsters7LBoxScore
70 - 2021-12-09568Moose4IceHogs6WBoxScore
71 - 2021-12-10583IceHogs5Roadrunners6LBoxScore
73 - 2021-12-12600Moose4IceHogs5WXBoxScore
75 - 2021-12-14619IceHogs0Gulls2LBoxScore
77 - 2021-12-16634Wild8IceHogs0LBoxScore
79 - 2021-12-18645IceHogs1Americans8LBoxScore
81 - 2021-12-20665Roadrunners7IceHogs4LBoxScore
83 - 2021-12-22683IceHogs2Heat8LBoxScore
85 - 2021-12-24699Condors6IceHogs2LBoxScore
87 - 2021-12-26714IceHogs1Sound Tigers4LBoxScore
89 - 2021-12-28729Checkers8IceHogs2LBoxScore
92 - 2021-12-31750IceHogs0Marlies3LBoxScore
93 - 2022-01-01763Crunch6IceHogs5LXXBoxScore
95 - 2022-01-03779IceHogs1Gulls7LBoxScore
96 - 2022-01-04790IceHogs4Palm Springs6LBoxScore
98 - 2022-01-06800Wolf Pack8IceHogs1LBoxScore
100 - 2022-01-08824IceHogs0Bruins9LBoxScore
101 - 2022-01-09832Admirals7IceHogs0LBoxScore
104 - 2022-01-12854IceHogs0Crunch6LBoxScore
105 - 2022-01-13861Penguins7IceHogs0LBoxScore
107 - 2022-01-15879IceHogs1Senators5LBoxScore
109 - 2022-01-17891Rocket6IceHogs0LBoxScore
111 - 2022-01-19915IceHogs1Sound Tigers6LBoxScore
113 - 2022-01-21926Devils5IceHogs1LBoxScore
114 - 2022-01-22943IceHogs2Americans8LBoxScore
116 - 2022-01-24956Palm Springs7IceHogs1LBoxScore
118 - 2022-01-26972IceHogs1Wolf Pack8LBoxScore
120 - 2022-01-28986Devils6IceHogs2LBoxScore
121 - 2022-01-291000IceHogs0Devils6LBoxScore
122 - 2022-01-301013IceHogs2Barracuda7LBoxScore
123 - 2022-01-311023Gulls6IceHogs1LBoxScore
127 - 2022-02-041046IceHogs2Griffins6LBoxScore
128 - 2022-02-051057Sound Tigers7IceHogs1LBoxScore
131 - 2022-02-081081IceHogs3Condors7LBoxScore
132 - 2022-02-091087IceHogs2Penguins8LBoxScore
133 - 2022-02-101092Thunderbirds7IceHogs1LBoxScore
136 - 2022-02-131117Bears9IceHogs2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
141 - 2022-02-181144IceHogs1Palm Springs7LBoxScore
142 - 2022-02-191152Wolves5IceHogs0LBoxScore
145 - 2022-02-221181Barracuda5IceHogs1LBoxScore
146 - 2022-02-231186IceHogs0Eagles9LBoxScore
149 - 2022-02-261211IceHogs0Comets7LBoxScore
150 - 2022-02-271217Barracuda6IceHogs1LBoxScore
154 - 2022-03-031247Phantoms10IceHogs3LBoxScore
158 - 2022-03-071278Comets7IceHogs2LBoxScore
162 - 2022-03-111301Rampage5IceHogs1LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance77,32138,746
Attendance PCT94.29%94.50%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2831 - 94.36% 70,559$2,892,933$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,636,680$ 30,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 36,675$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 9,882$ 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
Regular Season
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
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
168257402001151507-356414350100188254-166411390100063253-19015151296447005248494197964467364918399411697091389311319.97%3269969.63%1572190230.07%905289931.22%392133229.43%11467502930588854324
Total Regular Season398852850109368701805-9351994714104412446882-4361993814406524424923-499211870155524252952320272217976164431653189272715002429244167577185925913.93%190745576.14%538031036336.70%43771299933.67%2132611134.89%7466510712099286244101934
Playoff
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
Total Playoff808000001442-28404000001019-940400000423-19014243800074318406261612615610616057814.04%481372.92%011726344.49%8826633.08%5413141.22%173117218588942