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Icehogs
GP: 80 | W: 41 | L: 34 | OTL: 5 | P: 87
GF: 311 | GA: 326 | PP%: 22.58% | PK%: 74.21%
GM : Charles Claveau-Fortin | Morale : 42 | Team Overall : 65
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Game Center
Icehogs
41-34-5, 87pts
2
FINAL
3 Barracuda
46-27-7, 99pts
Team Stats
W1StreakW1
23-15-2Home Record27-9-4
18-19-3Home Record19-18-3
5-3-2Last 10 Games6-3-1
3.89Goals Per Game4.45
4.08Goals Against Per Game4.08
22.58%Power Play Percentage26.01%
74.21%Penalty Kill Percentage80.87%
Griffins
49-26-5, 103pts
4
FINAL
5 Icehogs
41-34-5, 87pts
Team Stats
L2StreakW1
29-10-1Home Record23-15-2
20-16-4Home Record18-19-3
4-5-1Last 10 Games5-3-2
4.55Goals Per Game3.89
3.75Goals Against Per Game4.08
22.96%Power Play Percentage22.58%
82.01%Penalty Kill Percentage74.21%
Team Leaders
Goals
Mikhail Grigorenko
51
Assists
Hudson Fasching
61
Points
Hudson Fasching
109
Plus/Minus
Mikhail Grigorenko
24
Wins
Mackenzie Blackwood
35
Save Percentage
Mackenzie Blackwood
0.882

Team Stats
Goals For
311
3.89 GFG
Shots For
2639
32.99 Avg
Power Play Percentage
22.6%
70 GF
Offensive Zone Start
36.1%
Goals Against
326
4.08 GAA
Shots Against
2601
32.51 Avg
Penalty Kill Percentage
74.2%%
90 GA
Defensive Zone Start
37.7%
Team Info

General ManagerCharles Claveau-Fortin
CoachDoug Gilmour
DivisionJohn-Ahearne
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,797
Season Tickets300


Roster Info

Pro Team32
Farm Team20
Contract Limit52 / 250
Prospects0


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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
1Dave BollandX100.006830847474788372758772657077711841730321750,000$
2Hudson Fasching (R)X100.006924778080747871717377617255484554710231950,000$
3J.T. BrownX100.006939747071707977717474736666602762710281800,000$
4Mikhail Grigorenko (R)X100.006529777070807472838179626554513938710241985,000$
5Jesse Puljujarvi (R)X100.007233786889796971727481597348447043710204950,000$
6Kurtis GabrielX100.007754807479637370627267606555563662680251600,000$
7Myles BellX100.007227756569707265697482566452543158680251700,000$
8Dillon Dube (R)X100.007334826078727068746579566243445826670202800,000$
9Nikita Scherbak (R)X100.006729806482696969706675576946474662660222775,000$
10Andrew Poturalski (R)X100.007736857770696463766464616949505250660242900,000$
11Michael Rasmussen (R)X100.006526756278666664706875536143427450640191500,000$
12Patrick RussellX100.005146757160727161666964485950522733620251500,000$
13Maxim Letunov (R)X100.005544706259696661666467516344443642610221500,000$
14Ross Johnston (R)X100.009160686084578056505460436350504255600241500,000$
15Kristian Reichel (R)X100.006144715969687153535859506042435630580201500,000$
16Jackson Cates (R)X100.005129797162706653636146575744455125580213500,000$
17Mitchell Chaffee (R)X100.005743636764666363654953595242425524580201500,000$
18Gabriel Fortier (R)X100.005540696163656258646055465340407823570182500,000$
19Mike ReillyX100.007219747772838071597275716571513759710261800,000$
20Patrick Sieloff (R)X100.007437728073756772557163745961503542710241900,000$
21Julius Honka (R)X100.007344826870737568626667756856474852700222950,000$
22Duncan SiemensX100.006935737374706766516962706055533862680251800,000$
23Calle Andersson (R)X100.006922757265656971547157675948483362660241650,000$
24Jeremy Davies (R)X100.006438807160526877478559594147494762650222600,000$
25Zach Whitecloud (R)X100.006031686864636756386646625547453634600223600,000$
Scratches
1Clark Bishop (R)X100.005336846163756150616957586246454425600223500,000$
2Thomas DiPauli (R)X100.005934837265775853576357565746463130600241500,000$
3JJ. Piccinich (R)X100.007341616270526661476558605244444224590221575,000$
4Declan Chisholm (R)X100.005229726148556273216748523940406820560182500,000$
TEAM AVERAGE100.00663675687069706561686559615048454365
Filter Tips
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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
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Mackenzie Blackwood100.007374747269757073727476524755627102231,250,000$
2Oscar Dansk100.00705966707763636365576948503763650241725,000$
Scratches
1Petr Kvaca100.00466951665456617566685845444819600212500,000$
TEAM AVERAGE100.0063676469676565706866684847474865
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug Gilmour67668070378057CAN512700,000$


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
1Hudson FaschingIcehogs (Chi)RW744861109233601139631212020615.38%43146819.84162036622400000778154.49%1678826121.48020001184
2Mikhail GrigorenkoIcehogs (Chi)LW7651571082458011812532710318815.60%49165921.831720375723520272227353.66%2057134121.30120001162
3J.T. BrownIcehogs (Chi)RW80343872-124201091043048816411.18%33129616.2131417252020000625545.05%1115226001.1112000533
4Jesse PuljujarviIcehogs (Chi)RW762939680360126781916711515.18%38135817.8771623242330000251044.09%934023101.0003000334
5Andrew PoturalskiIcehogs (Chi)C751334471880101117108407512.04%22119315.926915141630116691053.46%12011913000.7900000202
6Mike ReillyIcehogs (Chi)D71103444576012013217375725.78%123193727.295914222580116247030%06275000.4500000032
7Kurtis GabrielIcehogs (Chi)RW80222042-1626096761674411113.17%2793111.641011240000282150.00%383314000.9011000111
8Myles BellIcehogs (Chi)LW6821214204759981138519815.22%32113116.643691114110171323056.07%1072818000.7400001321
9Dillon DubeIcehogs (Chi)C489303920120718668193113.24%1692519.290111141340003812048.54%1232321000.8400000105
10Michael RasmussenIcehogs (Chi)LW72122335-7460818886254113.95%25107014.871011741012881045.47%5631015000.6500000102
11Patrick SieloffIcehogs (Chi)D6452934978010312312136614.13%100164325.68358162200114208200%03467000.4100000010
12Nikita ScherbakIcehogs (Chi)RW8020123201204339128297315.63%115947.4310116000023245.95%37169001.0801000115
13Julius HonkaIcehogs (Chi)D7092231-125547989428329.57%103145720.8322471660000196100%01341000.4300100111
14Dave BollandIcehogs (Chi)C17101727-620164470194314.29%838922.94491314460002641055.12%56697001.3801000021
15Duncan SiemensIcehogs (Chi)D8061824870095859733356.19%84156919.6235891890003179200%02860000.3100000200
16Calle AnderssonIcehogs (Chi)D8001818832040744518210%74108713.590112750001107000%0726000.3300000001
17Maxim LetunovIcehogs (Chi)C6061218-14220344235133317.14%115889.800111250001242245.99%38758000.6100000112
18Jeremy DaviesIcehogs (Chi)D8011415-320032534816202.08%3891311.4200027000151000%01327000.3300000000
19Ross JohnstonIcehogs (Chi)LW72549-1536082212772118.52%75998.33000030000150126.67%1515000.3000000011
20Clark BishopIcehogs (Chi)C501341201429195135.26%123106.220001100000380044.78%13414000.2600000000
21Thomas DiPauliIcehogs (Chi)C52033-2009711370%32033.910001180001110045.74%9413000.2900000000
22Patrick RussellIcehogs (Chi)RW490112604113020%1591.2100004000000050.00%210000.3400000000
23Jackson CatesIcehogs (Chi)C44011-200423320%2671.5300000000000046.15%2611000.3000000000
24Gabriel FortierIcehogs (Chi)LW230110801158130%21446.2800000000010033.33%310000.1400000000
25Kristian ReichelIcehogs (Chi)C45000200864020%2801.78000020000200054.17%240000000000000
26JJ. PiccinichIcehogs (Chi)RW37000-100110000%0130.3600002000050080.00%50000000000000
27Zach WhitecloudIcehogs (Chi)D61000-31006164230%72934.820000000005000%00500000000000
Team Total or Average16843125128243871010158316292601845147212.00%8732298913.65721282002752490437441970411850.14%5010537528340.72312101433337
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
1Mackenzie BlackwoodIcehogs (Chi)67352330.8823.803723202361993974310.60056416122
2Oscar DanskIcehogs (Chi)2461120.8584.7210940086606299010.33331664110
Team Total or Average91413450.8764.01481820322259912733288080232


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Andrew PoturalskiIcehogs (Chi)C241994-01-01Yes183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Calle AnderssonIcehogs (Chi)D241994-01-01Yes211 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Clark BishopIcehogs (Chi)C221996-01-01Yes199 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$2,488$0$0$No600,000$700,000$-------NoNo-------
Dave BollandIcehogs (Chi)C321986-01-01No181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Declan ChisholmIcehogs (Chi)D182000-01-01Yes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Dillon DubeIcehogs (Chi)C201998-01-01Yes187 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No950,000$--------No--------
Duncan SiemensIcehogs (Chi)D251993-01-01No200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Gabriel FortierIcehogs (Chi)LW182000-01-01Yes177 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Hudson FaschingIcehogs (Chi)RW231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
J.T. BrownIcehogs (Chi)RW281990-01-01No170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
JJ. PiccinichIcehogs (Chi)RW221996-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,861$0$0$No------------------
Jackson CatesIcehogs (Chi)C211997-01-01Yes190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm500,000$2,488$0$0$No500,000$500,000$-------NoNo-------
Jeremy DaviesIcehogs (Chi)D221996-01-01Yes181 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Jesse PuljujarviIcehogs (Chi)RW201998-01-01Yes201 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm950,000$4,726$0$0$No2,000,000$3,000,000$4,000,000$------NoNoNo------
Julius HonkaIcehogs (Chi)D221996-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$4,726$0$0$No1,000,000$--------No--------
Kristian ReichelIcehogs (Chi)C201998-01-01Yes168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Kurtis GabrielIcehogs (Chi)RW251993-01-01No185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm600,000$2,985$0$0$No------------------
Mackenzie BlackwoodIcehogs (Chi)G221996-01-01No225 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,250,000$6,219$0$0$No1,750,000$2,000,000$-------NoNo-------
Maxim LetunovIcehogs (Chi)C221996-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Michael RasmussenIcehogs (Chi)LW191999-01-01Yes210 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Mike ReillyIcehogs (Chi)D261992-01-01No191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Mikhail GrigorenkoIcehogs (Chi)LW241994-01-01Yes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm985,000$4,900$0$0$No------------------
Mitchell ChaffeeIcehogs (Chi)RW201998-01-01Yes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Myles BellIcehogs (Chi)LW251993-01-01No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,483$0$0$No------------------
Nikita ScherbakIcehogs (Chi)RW221996-01-01Yes192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$3,856$0$0$No925,000$--------No--------
Oscar DanskIcehogs (Chi)G241994-01-01No187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm725,000$3,607$0$0$No------------------
Patrick RussellIcehogs (Chi)RW251993-01-01No203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Patrick SieloffIcehogs (Chi)D241994-01-01Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Petr KvacaIcehogs (Chi)G211997-01-01No169 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Ross JohnstonIcehogs (Chi)LW241994-01-01Yes235 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Thomas DiPauliIcehogs (Chi)C241994-01-01Yes188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Zach WhitecloudIcehogs (Chi)D221996-01-01Yes209 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No600,000$600,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3222.81192 Lbs6 ft11.59689,375$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikhail GrigorenkoDave BollandHudson Fasching40122
2Myles BellDillon DubeJ.T. Brown30122
3Michael RasmussenAndrew PoturalskiJesse Puljujarvi20122
4Ross JohnstonMaxim LetunovKurtis Gabriel10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyPatrick Sieloff40122
2Julius HonkaDuncan Siemens30122
3Calle AnderssonJeremy Davies20122
4Zach WhitecloudMike Reilly10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mikhail GrigorenkoDave BollandHudson Fasching60122
2Myles BellDillon DubeJ.T. Brown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyPatrick Sieloff60122
2Julius HonkaDuncan Siemens40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dave BollandMikhail Grigorenko60122
2Dillon DubeMyles Bell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyPatrick Sieloff60122
2Julius HonkaDuncan Siemens40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dave Bolland60122Mike ReillyPatrick Sieloff60122
2Dillon Dube40122Julius HonkaDuncan Siemens40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dave BollandMikhail Grigorenko60122
2Dillon DubeMyles Bell40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mike ReillyPatrick Sieloff60122
2Julius HonkaDuncan Siemens40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mikhail GrigorenkoDave BollandHudson FaschingMike ReillyPatrick Sieloff
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mikhail GrigorenkoDave BollandHudson FaschingMike ReillyPatrick Sieloff
Extra Forwards
Normal PowerPlayPenalty Kill
Mikhail Grigorenko, Kurtis Gabriel, Myles BellMikhail Grigorenko, Kurtis GabrielMikhail Grigorenko
Extra Defensemen
Normal PowerPlayPenalty Kill
Calle Andersson, Jeremy Davies, Zach WhitecloudCalle AnderssonCalle Andersson, Jeremy Davies
Penalty Shots
Dave Bolland, Hudson Fasching, J.T. Brown, Jesse Puljujarvi, Mikhail Grigorenko
Goalie
#1 : Mackenzie Blackwood, #2 : Oscar Dansk
Custom OT Lines Forwards
Dave Bolland, Hudson Fasching, J.T. Brown, Jesse Puljujarvi, Mikhail Grigorenko, Kurtis Gabriel, Kurtis Gabriel, Myles Bell, Dillon Dube, Nikita Scherbak, Andrew Poturalski
Custom OT Lines Defensemen
Mike Reilly, Patrick Sieloff, Julius Honka, Duncan Siemens, Calle Andersson


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
1Admirals614010002226-4311010001412230300000814-640.3332236580095106104818686186989522195546011329931.03%30970.00%1955178453.53%903186348.47%642130049.38%167592917147491436719
2Americans614000101929-10312000001018-830200010911-240.3331929480095106104817386186989522194526210927622.22%31970.97%0955178453.53%903186348.47%642130049.38%167592917147491436719
3Barracuda412001001115-41100000043130200100712-530.375112031109510610481418618698952214250437911436.36%19668.42%0955178453.53%903186348.47%642130049.38%167592917147491436719
4Bears20200000713-61010000058-31010000025-300.0007132000951061048708618698952273201039500.00%50100.00%0955178453.53%903186348.47%642130049.38%167592917147491436719
5Canucks2110000078-11010000047-31100000031220.50071421009510610487786186989522492412331200.00%6350.00%0955178453.53%903186348.47%642130049.38%167592917147491436719
6Checkers220000001174110000005321100000064241.000111930009510610486986186989522712112354125.00%6183.33%0955178453.53%903186348.47%642130049.38%167592917147491436719
7Comets22000000954110000005321100000042241.0009152400951061048528618698952266121426600.00%7185.71%1955178453.53%903186348.47%642130049.38%167592917147491436719
8Condors311000011213-12010000159-41100000074330.50012243600951061048115861869895229534226314428.57%11281.82%0955178453.53%903186348.47%642130049.38%167592917147491436719
9Crunch422000001615132100000151051010000015-440.5001630460095106104811186186989522133474510115213.33%20480.00%0955178453.53%903186348.47%642130049.38%167592917147491436719
10Eagles22000000945110000004311100000051441.00091726009510610486586186989522592412439222.22%60100.00%0955178453.53%903186348.47%642130049.38%167592917147491436719
11Griffins321000001315-22200000012841010000017-640.6671319320095106104889861869895228535266410220.00%13376.92%0955178453.53%903186348.47%642130049.38%167592917147491436719
12Islander422000001718-1312000001215-31100000053240.500172946009510610481408618698952213443228224729.17%11463.64%0955178453.53%903186348.47%642130049.38%167592917147491436719
13Little Stars321000001183110000004132110000077040.667111829009510610481168618698952210433286211218.18%14285.71%0955178453.53%903186348.47%642130049.38%167592917147491436719
14Marlies32100000131122110000078-11100000063340.6671319320095106104896861869895227627206212325.00%11281.82%0955178453.53%903186348.47%642130049.38%167592917147491436719
15Moose3210000019190211000001315-21100000064240.66719304900951061048115861869895221003126588225.00%13653.85%0955178453.53%903186348.47%642130049.38%167592917147491436719
16Penguins22000000743110000004221100000032141.00071118009510610487686186989522673918404125.00%9188.89%0955178453.53%903186348.47%642130049.38%167592917147491436719
17Phantoms3010100169-31000000134-12010100035-230.500610160095106104877861869895227730184915213.33%9366.67%0955178453.53%903186348.47%642130049.38%167592917147491436719
18Punishers43100000171251100000064232100000118360.750172845009510610481458618698952212446228016531.25%11463.64%0955178453.53%903186348.47%642130049.38%167592917147491436719
19Reign30201000815-71000100043120200000412-820.33381422009510610481078618698952210440307614321.43%15566.67%0955178453.53%903186348.47%642130049.38%167592917147491436719
20Rocket312000001618-21010000036-3211000001312120.3331626420095106104895861869895221043934528112.50%17664.71%0955178453.53%903186348.47%642130049.38%167592917147491436719
21Senators722012002931-23210000011110401012001820-280.5712947760095106104821486186989522256798412828828.57%42685.71%1955178453.53%903186348.47%642130049.38%167592917147491436719
22Silver Knights21100000981110000005231010000046-220.50091625109510610486486186989522583418465240.00%9366.67%0955178453.53%903186348.47%642130049.38%167592917147491436719
23Thunderbirds211000005501010000024-21100000031220.500591400951061048638618698952265232437400.00%12375.00%0955178453.53%903186348.47%642130049.38%167592917147491436719
24Wolfpack22000000954110000004131100000054141.00091726009510610487586186989522572216398112.50%8275.00%1955178453.53%903186348.47%642130049.38%167592917147491436719
25Wranglers30201000913-42010100068-21010000035-220.33391221009510610481088618698952211333286611327.27%14564.29%0955178453.53%903186348.47%642130049.38%167592917147491436719
Total80353405312311326-1540201503002167168-140151902310144158-14870.54431152283320951061048263986186989522260189270615823107022.58%3499074.21%4955178453.53%903186348.47%642130049.38%167592917147491436719
_Since Last GM Reset80353405312311326-1540201503002167168-140151902310144158-14870.54431152283320951061048263986186989522260189270615823107022.58%3499074.21%4955178453.53%903186348.47%642130049.38%167592917147491436719
_Vs Conference47132305312177214-3723990300292105-13244140231085109-24430.4571772864631095106104815168618698952215415044539191874725.13%2256272.44%2955178453.53%903186348.47%642130049.38%167592917147491436719
_Vs Division19410022107086-16944010003541-61006012103545-10160.421701121820095106104857386186989522645185206350842327.38%1032476.70%2955178453.53%903186348.47%642130049.38%167592917147491436719

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8087W131152283326392601892706158220
All Games
GPWLOTWOTL SOWSOLGFGA
8035345312311326
Home Games
GPWLOTWOTL SOWSOLGFGA
4020153002167168
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4015192310144158
Last 10 Games
WLOTWOTL SOWSOL
530101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3107022.58%3499074.21%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
86186989522951061048
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
955178453.53%903186348.47%642130049.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
167592917147491436719


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
14Icehogs6Senators7LXBoxScore
317Senators5Icehogs3LBoxScore
634Crunch2Icehogs5WBoxScore
954Admirals3Icehogs4WXBoxScore
1160Icehogs4Senators5LBoxScore
1582Islander3Icehogs4WBoxScore
1684Icehogs2Admirals5LBoxScore
19101Icehogs3Barracuda5LBoxScore
20108Icehogs4Americans3WXXR1BoxScore
23121Americans6Icehogs0LBoxScore
27142Icehogs2Americans3LR1BoxScore
28150Marlies5Icehogs3LBoxScore
31169Americans8Icehogs1LR1BoxScore
33181Icehogs4Punishers1WBoxScore
36189Icehogs2Phantoms1WXBoxScore
38201Admirals5Icehogs3LBoxScore
40214Icehogs5Islander3WBoxScore
43225Silver Knights2Icehogs5WBoxScore
45241Icehogs3Thunderbirds1WBoxScore
48251Phantoms4Icehogs3LXXBoxScore
50260Icehogs1Griffins7LBoxScore
53269Icehogs3Americans5LR1BoxScore
54282Checkers3Icehogs5WBoxScore
57295Icehogs4Comets2WBoxScore
59302Icehogs4Admirals5LBoxScore
61310Islander6Icehogs5LBoxScore
63327Icehogs6Rocket7LBoxScore
65335Punishers4Icehogs6WBoxScore
67348Icehogs2Admirals4LBoxScore
69360Icehogs3Little Stars5LBoxScore
70364Reign3Icehogs4WXBoxScore
73385Icehogs2Bears5LBoxScore
74389Islander6Icehogs3LBoxScore
79410Icehogs4Little Stars2WBoxScore
80415Moose9Icehogs6LBoxScore
84438Canucks7Icehogs4LBoxScore
87454Icehogs5Wolfpack4WBoxScore
89466Barracuda3Icehogs4WBoxScore
93484Little Stars1Icehogs4WBoxScore
95495Icehogs5Eagles1WBoxScore
97510Icehogs2Reign7LBoxScore
99517Marlies3Icehogs4WBoxScore
101532Icehogs6Checkers4WBoxScore
103540Comets3Icehogs5WBoxScore
105554Icehogs3Penguins2WBoxScore
107565Icehogs7Condors4WBoxScore
109572Bears8Icehogs5LBoxScore
111583Icehogs2Reign5LBoxScore
113591Icehogs3Canucks1WBoxScore
114598Thunderbirds4Icehogs2LBoxScore
118620Icehogs6Senators5WXBoxScore
119624Eagles3Icehogs4WBoxScore
123647Wolfpack1Icehogs4WBoxScore
125661Icehogs7Rocket5WBoxScore
127673Americans4Icehogs9WR1BoxScore
128682Icehogs6Moose4WBoxScore
132700Penguins2Icehogs4WBoxScore
135719Icehogs3Wranglers5LBoxScore
137725Crunch2Icehogs6WBoxScore
139736Icehogs1Crunch5LBoxScore
141752Icehogs1Phantoms4LBoxScore
142754Rocket6Icehogs3LBoxScore
145779Wranglers5Icehogs2LBoxScore
147793Icehogs2Senators3LXBoxScore
150805Wranglers3Icehogs4WXBoxScore
156829Crunch6Icehogs4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
159849Moose6Icehogs7WBoxScore
161857Icehogs6Marlies3WBoxScore
163867Icehogs4Punishers3WBoxScore
165872Icehogs4Silver Knights6LBoxScore
166881Icehogs2Barracuda4LBoxScore
167884Condors4Icehogs3LXXBoxScore
171907Senators2Icehogs3WBoxScore
176932Admirals4Icehogs7WBoxScore
178942Icehogs3Punishers4LBoxScore
181959Condors5Icehogs2LBoxScore
185984Griffins4Icehogs7WBoxScore
1891001Senators4Icehogs5WBoxScore
1901008Icehogs2Barracuda3LXBoxScore
1981029Griffins4Icehogs5WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,50437,394
Attendance PCT93.13%93.49%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2797 - 93.25% 176,165$7,046,591$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,814,265$ 2,206,000$ 1,897,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,975$ 2,094,205$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 14,458$ 14,458$




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

Icehogs Goalies Stat Leaders (Regular Season)

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

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

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

Icehogs Goalies Stat Leaders (Play-Off)

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