Out of Date Version of the STHS! Please update your version!
Login

Icehogs
GP: 80 | W: 45 | L: 25 | OTL: 10 | P: 100
GF: 340 | GA: 322 | PP%: 22.12% | PK%: 77.97%
GM : Mathias Labrie | Morale : 55 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Icehogs
45-25-10, 100pts
4
FINAL
5 Crunch
43-32-5, 91pts
Team Stats
OTW1StreakW1
23-13-4Home Record19-18-3
22-12-6Away Record24-14-2
3-4-3Last 10 Games7-2-1
4.25Goals Per Game4.25
4.03Goals Against Per Game4.11
22.12%Power Play Percentage24.00%
77.97%Penalty Kill Percentage72.76%
Icehogs
45-25-10, 100pts
5
FINAL
4 Punishers
29-43-8, 66pts
Team Stats
OTW1StreakOTL1
23-13-4Home Record16-18-6
22-12-6Away Record13-25-2
3-4-3Last 10 Games3-6-1
4.25Goals Per Game3.79
4.03Goals Against Per Game4.23
22.12%Power Play Percentage19.11%
77.97%Penalty Kill Percentage76.57%
Team Leaders
Goals
Hudson Fasching
34
Assists
Nick Mattson
46
Points
Mikhail Grigorenko
71
Plus/Minus
Mikhail Grigorenko
19
Wins
Mark Visentin
41
Save Percentage
Mark Visentin
0.88

Team Stats
Goals For
340
4.25 GFG
Shots For
2741
34.26 Avg
Power Play Percentage
22.1%
71 GF
Offensive Zone Start
36.7%
Goals Against
322
4.03 GAA
Shots Against
2605
32.56 Avg
Penalty Kill Percentage
78.0%%
63 GA
Defensive Zone Start
36.0%
Team Info

General ManagerMathias Labrie
CoachDoug Gilmour
DivisionJohn-Ahearne
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,808
Season Tickets300


Roster Info

Pro Team31
Farm Team21
Contract Limit52 / 250
Prospects0


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 SPAgeContractSalary
1Andrew Mangiapane (R)X100.006737766188717768737485607753445450700213975,000$
2Michael ChaputX100.007044787768717274727268657059503765690251950,000$
3Mikhail Grigorenko (R)X100.006229747169787169817977596249474375690232950,000$
4Hudson Fasching (R)X100.006524757877747467666875626848444964680221600,000$
5Mattias JanmarkX100.006241846754717468728071546451523975670251700,000$
6Myles Bell (R)X100.006927736265676968677384536351513475670241800,000$
7Nick Paul (R)X100.006649836871686868657173566744444375670221900,000$
8Kurtis Gabriel (R)X100.007654787178607266596863576153534054650242500,000$
9Patrick Russell (R)X100.004946716757737256616459445649502975590241500,000$
10Ross Johnston (R)X100.008958665983527554495359416249494857580231400,000$
11JJ. Piccinich (R)X100.007240586168496260466257585043434830570212465,000$
12Mitchell Chaffee (R)X100.005642616562635862644851575141416228570192500,000$
13Clark Bishop (R)X100.005136835961715545606552555843434823560211500,000$
14Kristian Reichel (R)X100.005943695667636551525656495841426420550192500,000$
15Nick MattsonX100.007334737870727562577766686372613175700261900,000$
16Mike ReillyX100.006919727569797569587073696262504153690251800,000$
17Julius Honka (R)X100.007144826469717364586364766546455362680213850,000$
18Patrick Sieloff (R)X100.007237707871726468526759725453493875680231500,000$
19Duncan Siemens (R)X100.007035727273696464486759725752504259670241850,000$
20Calle Andersson (R)X100.006822746862636470507255635745453665640232575,000$
21Jeremy Davies (R)X100.006138786957476276438557563845475175640211500,000$
22Zach Whitecloud (R)X100.005731656562596253336444595245433957580211400,000$
Scratches
1J.T. BrownX90.377238757173717676697376716762583054710271700,000$
2Nikita Scherbak (R)X100.006529796281656367686673546744455055650213750,000$
3Dillon Dube (R)X100.007134805477706864726277525941426338640191500,000$
4Andrew Poturalski (R)X100.007536847668665959766260586548475764640233900,000$
5Jackson Cates (R)X100.004927777060666151615945555443445816560201500,000$
TEAM AVERAGE99.64663774686967686460676459604947455664
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 SPAgeContractSalary
1Mark Visentin100.00677371727571697174717254493477710251950,000$
2Mackenzie Blackwood99.00717373706674687169727549456075690214950,000$
Scratches
1Michael Giugovaz100.00515951575750645047546444444520540221600,000$
2Jack LaFontaine (R)100.00595565484167614950645641416319540193400,000$
TEAM AVERAGE99.7562656562606666606065674745514862
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug Gilmour67668070378057CAN501700,000$


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
1Frederik GauthierBlackhawksC57356095900761192818915612.46%36134223.54922314620300021855253.12%20334830101.4239000777
2Mikhail GrigorenkoIcehogs (Chi)LW8028437119180110782116612313.27%38127815.984711251522358632356.45%624525011.1103000423
3J.T. BrownIcehogs (Chi)RW69283765-631586902406913811.67%53124518.056121822111101141582150.00%1004429211.0401100433
4Andrew MangiapaneIcehogs (Chi)LW652535609360117881815610313.81%27131820.2978152319210141311254.05%1112618000.9133000524
5Michael ChaputIcehogs (Chi)C80253459-13200811022276812511.01%30111813.9817814820001443152.44%9655018001.0601000335
6Hudson FaschingIcehogs (Chi)RW7234235716340111851954410217.44%24115716.08527231880001143041.38%584417020.9801000633
7Nick MattsonIcehogs (Chi)D801046561584014114913044567.69%115213526.706612323121232226310.00%04882000.5200000143
8Tanner RichardBlackhawksC5919345311435104116151589012.58%36106318.0367131915630351333150.96%7302721011.0039000323
9Mike ReillyIcehogs (Chi)D72941501294010515612248567.38%111184625.643710212690111187110.00%04468000.5401000103
10Stefan MatteauIcehogs (Chi)LW30132740-8160514313136739.92%1466722.268715241030110762042.44%1723212001.2001000040
11Mike AmadioBlackhawksRW22172239820193197255417.53%1343319.7177141968000032165.38%262310001.8012000171
12Patrick SieloffIcehogs (Chi)D80924333500911019736389.28%81161220.15325102170223158010.00%01544000.4100000121
13Kurtis GabrielIcehogs (Chi)RW66171330-61205931117316914.53%156529.88224523000002154.55%111417010.9200000301
14Julius HonkaIcehogs (Chi)D78226281100781166722352.99%76153219.6503351940002163010.00%01542000.3700000011
15Myles BellIcehogs (Chi)LW8071522826053448729538.05%105737.17000035000000239.29%56187000.7700000001
16Duncan SiemensIcehogs (Chi)D7521517036048542820147.14%4387211.63123337000024000.00%0622000.3901000000
17Mattias JanmarkIcehogs (Chi)LW805121734027317117417.04%125436.800000130002472162.50%321512000.6300000012
18Nick PaulIcehogs (Chi)LW809817-1440243979293211.39%155206.51011330000002251.11%45198000.6500000101
19Andrew PoturalskiIcehogs (Chi)C7231013124031312372213.04%123384.700332310000111153.14%17549000.7700000110
20Nikita ScherbakIcehogs (Chi)RW607411-360361441151617.07%73676.1300000000001166.67%665000.6000000000
21Patrick RussellIcehogs (Chi)RW807310-61001392381430.43%63143.93000050000131033.33%964000.6400000010
22Dillon DubeIcehogs (Chi)C61459-62030243161612.90%93786.21000110000000052.63%13354000.4800000000
23Jeremy DaviesIcehogs (Chi)D80189-10801739278113.70%237409.2600002000055100.00%0315000.2400000000
24Calle AnderssonIcehogs (Chi)D800668240344317680.00%417048.8100004000059000.00%0122000.1700000000
25Clark BishopIcehogs (Chi)C18224-700612171311.76%222812.700111230000101048.23%14111000.3500000000
26Zach WhitecloudIcehogs (Chi)D66044-120011164200.00%83244.910000000003000.00%006000.2500000000
27JJ. PiccinichIcehogs (Chi)RW53011020623020.00%1661.25000080001900100.00%100000.3000000000
28Robert HaggBlackhawksD2011100342010.00%74321.7301101100003000.00%002000.4600000000
29Jackson CatesIcehogs (Chi)C91011004760116.67%1879.7400000000000035.14%3711000.2300000000
30Kristian ReichelIcehogs (Chi)C7000-220971120.00%38111.6500000000000039.47%3822000.00%00000000
31Ross JohnstonIcehogs (Chi)LW66000-300611100.00%0510.7800000000036007.69%1300000.00%00000000
Team Total or Average18793195598785159810158716822708842145411.78%8692364412.586810717529824928917461822382351.59%4954562553360.741032100414342
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
1Mark VisentinIcehogs (Chi)75412180.8803.7941210026021691098310.50028736302
2Mackenzie BlackwoodIcehogs (Chi)214420.8744.447430055435218101.0005773000
Team Total or Average964525100.8793.894864003152604131641338079302


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 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 10Link
Andrew Mangiapane (1 Way Contract)Icehogs (Chi)LW211996-01-01Yes184 Lbs5 ft10NoNoNo3Pro & Farm975,000$975,000$0$No1,500,000$2,000,000$Link
Andrew PoturalskiIcehogs (Chi)C231994-01-01Yes183 Lbs5 ft10NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Link
Calle AnderssonIcehogs (Chi)D231994-01-01Yes211 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No650,000$
Clark BishopIcehogs (Chi)C211996-01-01Yes199 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLink
Dillon DubeIcehogs (Chi)C191998-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLink
Duncan SiemensIcehogs (Chi)D241993-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm850,000$0$0$No
Hudson FaschingIcehogs (Chi)RW221995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoLink
J.T. Brown (Out of Payroll)Icehogs (Chi)RW271990-01-01No170 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$Yes
JJ. PiccinichIcehogs (Chi)RW211996-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm465,000$0$0$No575,000$Link
Jack LaFontaineIcehogs (Chi)G191998-01-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm400,000$0$0$No500,000$550,000$Link
Jackson CatesIcehogs (Chi)C201997-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLink
Jeremy DaviesIcehogs (Chi)D211996-01-01Yes181 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLink
Julius HonkaIcehogs (Chi)D211996-01-01Yes180 Lbs5 ft11NoNoNo3Pro & Farm850,000$0$0$No950,000$1,000,000$Link
Kristian ReichelIcehogs (Chi)C191998-01-01Yes168 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Kurtis GabrielIcehogs (Chi)RW241993-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No600,000$Link
Mackenzie BlackwoodIcehogs (Chi)G211996-01-01No225 Lbs6 ft4NoNoNo4Pro & Farm950,000$0$0$No1,250,000$1,750,000$2,000,000$Link
Mark VisentinIcehogs (Chi)G251992-01-01No201 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Mattias JanmarkIcehogs (Chi)LW251992-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Michael ChaputIcehogs (Chi)C251992-01-01No197 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Michael GiugovazIcehogs (Chi)G221995-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Mike ReillyIcehogs (Chi)D251992-01-01No191 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Mikhail GrigorenkoIcehogs (Chi)LW231994-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No985,000$Link
Mitchell ChaffeeIcehogs (Chi)RW191998-01-01Yes201 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Myles BellIcehogs (Chi)LW241993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$NoLink
Nick MattsonIcehogs (Chi)D261991-01-01No189 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Nick PaulIcehogs (Chi)LW221995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLink
Nikita ScherbakIcehogs (Chi)RW211996-01-01Yes192 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No775,000$925,000$Link
Patrick RussellIcehogs (Chi)RW241993-01-01Yes203 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLink
Patrick SieloffIcehogs (Chi)D231994-01-01Yes192 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLink
Ross JohnstonIcehogs (Chi)LW231994-01-01Yes235 Lbs6 ft5NoNoNo1Pro & Farm400,000$0$0$NoLink
Zach WhitecloudIcehogs (Chi)D211996-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3122.39193 Lbs6 ft11.61673,065$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Stefan MatteauMichael ChaputHudson Fasching40122
2Andrew MangiapaneClark BishopKurtis Gabriel30122
3Mikhail GrigorenkoKristian ReichelPatrick Russell20122
4Myles BellStefan MatteauJJ. Piccinich10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick MattsonMike Reilly40122
2Patrick SieloffJulius Honka30122
3Duncan SiemensCalle Andersson20122
4Jeremy DaviesZach Whitecloud10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Stefan MatteauMichael ChaputHudson Fasching60122
2Andrew MangiapaneClark BishopKurtis Gabriel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick MattsonMike Reilly60122
2Patrick SieloffJulius Honka40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Stefan MatteauAndrew Mangiapane60122
2Michael ChaputMikhail Grigorenko40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick MattsonMike Reilly60122
2Patrick SieloffJulius Honka40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Stefan Matteau60122Nick MattsonMike Reilly60122
2Andrew Mangiapane40122Patrick SieloffJulius Honka40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Stefan MatteauAndrew Mangiapane60122
2Michael ChaputMikhail Grigorenko40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick MattsonMike Reilly60122
2Patrick SieloffJulius Honka40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Stefan MatteauMichael ChaputHudson FaschingNick MattsonMike Reilly
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Stefan MatteauMichael ChaputHudson FaschingNick MattsonMike Reilly
Extra Forwards
Normal PowerPlayPenalty Kill
Mattias Janmark, Nick Paul, Ross JohnstonMattias Janmark, Nick PaulRoss Johnston
Extra Defensemen
Normal PowerPlayPenalty Kill
Duncan Siemens, Calle Andersson, Jeremy DaviesDuncan SiemensCalle Andersson, Jeremy Davies
Penalty Shots
Stefan Matteau, Andrew Mangiapane, Michael Chaput, Mikhail Grigorenko, Hudson Fasching
Goalie
#1 : Mackenzie Blackwood, #2 : Mark Visentin


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
1Admirals6420000027207330000002061431200000714-780.66727477400851081361920288290793055187645010920735.00%25580.00%1937181651.60%905178050.84%710135252.51%171495716927561463734
2Barracuda311000011415-11100000075220100001710-330.50014243800851081361910688290793055109373260500.00%16475.00%1937181651.60%905178050.84%710135252.51%171495716927561463734
3Bears302000101218-61010000017-6201000101111020.333122032008510813619106882907930551103922621119.09%11372.73%0937181651.60%905178050.84%710135252.51%171495716927561463734
4Comets21100000871110000004221010000045-120.500812201085108136198088290793055552212416116.67%6266.67%0937181651.60%905178050.84%710135252.51%171495716927561463734
5Condors310000111284210000018531000001043150.8331217290085108136191068829079305510627206213215.38%100100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
6Crunch30200100815-720200000410-61000010045-110.167814220085108136198788290793055993320608225.00%10190.00%1937181651.60%905178050.84%710135252.51%171495716927561463734
7Devils21000100972110000005231000010045-130.750916250085108136196588290793055681018506116.67%9366.67%1937181651.60%905178050.84%710135252.51%171495716927561463734
8Eagles200000119901000000134-11000001065130.75091524008510813619798829079305569264359111.11%20100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
9Griffins31200000121111100000061520200000610-420.33312223400851081361985882907930559528225211218.18%110100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
10Heat4210100023194220000001055201010001314-160.7502338610085108136191378829079305512848378217635.29%13561.54%0937181651.60%905178050.84%710135252.51%171495716927561463734
11Little Stars21000100660110000003211000010034-130.750611170085108136197688290793055663422298337.50%11190.91%0937181651.60%905178050.84%710135252.51%171495716927561463734
12Marlies310001011213-11000000134-12100010099040.66712193100851081361910388290793055772818621218.33%9277.78%1937181651.60%905178050.84%710135252.51%171495716927561463734
13Monsters622010012524131200000910-1310010011614270.58325436800851081361922588290793055213715214632928.13%26676.92%1937181651.60%905178050.84%710135252.51%171495716927561463734
14Moose330000001394220000009721100000042261.00013203300851081361988882907930559126857600.00%4175.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
15Penguins211000007701010000025-31100000052320.5007111800851081361974882907930555813163310220.00%8362.50%0937181651.60%905178050.84%710135252.51%171495716927561463734
16Phantoms312000001216-420200000613-71100000063320.333121830008510813619948829079305510234165714428.57%8275.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
17Punishers200010017701000000123-11000100054130.750712190085108136197688290793055682610499111.11%50100.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
18Rampage2020000039-61010000014-31010000025-300.0003470085108136196088290793055641418281000.00%9277.78%0937181651.60%905178050.84%710135252.51%171495716927561463734
19Reign412010001720-320200000714-721001000106440.5001728450085108136191258829079305513233366715213.33%19573.68%1937181651.60%905178050.84%710135252.51%171495716927561463734
20Rocket32000010161062100001010641100000064261.000162642008510813619103882907930559431186312216.67%9188.89%0937181651.60%905178050.84%710135252.51%171495716927561463734
21Senators641010003420143300000017893110100017125100.833345387008510813619211882907930551976546141331236.36%23386.96%0937181651.60%905178050.84%710135252.51%171495716927561463734
22Sound Tigers6320100022211311010001293321000001012-280.66722396100851081361921188290793055181653010929310.34%15286.67%0937181651.60%905178050.84%710135252.51%171495716927561463734
23Thunderbirds220000001073110000005411100000053241.0001017270085108136197288290793055472414378225.00%8362.50%1937181651.60%905178050.84%710135252.51%171495716927561463734
24Wolfpack210010001073110000005321000100054141.0001018280085108136197388290793055731616356350.00%8450.00%0937181651.60%905178050.84%710135252.51%171495716927561463734
25Wolves312000001217-51010000036-321100000911-220.333122133008510813619978829079305511632225711436.36%11554.55%0937181651.60%905178050.84%710135252.51%171495716927561463734
Total803425074463403221840211301014162145174013120643217817711000.625340565905108510813619274188290793055260584657915833217122.12%2866377.97%8937181651.60%905178050.84%710135252.51%171495716927561463734
_Since Last GM Reset803425074463403221840211301014162145174013120643217817711000.625340565905108510813619274188290793055260584657915833217122.12%2866377.97%8937181651.60%905178050.84%710135252.51%171495716927561463734
_Vs Conference4723130412421718532241560001211284282387041121051014630.67021735557200851081361915858829079305515314923559581904724.74%1733480.35%5937181651.60%905178050.84%710135252.51%171495716927561463734
_Vs Division1810502001866422972000004624229330200140400250.6948614322900851081361963888290793055597200148396852832.94%741481.08%2937181651.60%905178050.84%710135252.51%171495716927561463734

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
80100OTW134056590527412605846579158310
All Games
GPWLOTWOTL SOWSOLGFGA
8034257446340322
Home Games
GPWLOTWOTL SOWSOLGFGA
4021131014162145
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4013126432178177
Last 10 Games
WLOTWOTL SOWSOL
142201
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3217122.12%2866377.97%8
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
882907930558510813619
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
937181651.60%905178050.84%710135252.51%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
171495716927561463734


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 - 2022-10-2810Monsters5Icehogs4BLR1BoxScore
4 - 2022-10-3020Icehogs4Monsters2AWBoxScore
6 - 2022-11-0129Admirals2Icehogs7BWBoxScore
8 - 2022-11-0340Icehogs3Sound Tigers1AWBoxScore
10 - 2022-11-0549Icehogs5Senators6ALBoxScore
12 - 2022-11-0759Icehogs2Admirals8ALBoxScore
14 - 2022-11-0974Senators3Icehogs4BWBoxScore
17 - 2022-11-1291Sound Tigers2Icehogs7BWBoxScore
20 - 2022-11-15108Icehogs4Barracuda6ALBoxScore
22 - 2022-11-17120Rocket4Icehogs5BWXXBoxScore
25 - 2022-11-20135Crunch7Icehogs2BLBoxScore
30 - 2022-11-25157Icehogs4Marlies5ALXBoxScore
32 - 2022-11-27169Admirals1Icehogs8BWBoxScore
34 - 2022-11-29180Icehogs8Senators3AWBoxScore
36 - 2022-12-01191Heat4Icehogs8BWBoxScore
39 - 2022-12-04210Icehogs6Eagles5AWXXBoxScore
42 - 2022-12-07217Monsters2Icehogs3BWR1BoxScore
45 - 2022-12-10235Icehogs4Comets5ALBoxScore
46 - 2022-12-11244Icehogs5Wolves9ALBoxScore
49 - 2022-12-14253Heat1Icehogs2BWBoxScore
52 - 2022-12-17270Icehogs4Wolves2AWBoxScore
54 - 2022-12-19279Thunderbirds4Icehogs5BWBoxScore
59 - 2022-12-24300Little Stars2Icehogs3BWBoxScore
62 - 2022-12-27314Icehogs5Thunderbirds3AWBoxScore
64 - 2022-12-29325Bears7Icehogs1BLBoxScore
66 - 2022-12-31336Icehogs4Condors3AWXXBoxScore
68 - 2023-01-02348Crunch3Icehogs2BLBoxScore
70 - 2023-01-04362Icehogs5Wolfpack4AWXBoxScore
73 - 2023-01-07374Punishers3Icehogs2BLXXBoxScore
77 - 2023-01-11398Marlies4Icehogs3BLXXBoxScore
79 - 2023-01-13405Icehogs5Marlies4AWBoxScore
82 - 2023-01-16421Barracuda5Icehogs7BWBoxScore
85 - 2023-01-19439Icehogs3Barracuda4ALXXBoxScore
87 - 2023-01-21448Penguins5Icehogs2BLBoxScore
89 - 2023-01-23461Icehogs3Little Stars4ALXBoxScore
91 - 2023-01-25468Icehogs7Bears6AWXXBoxScore
92 - 2023-01-26480Condors3Icehogs2BLXXBoxScore
96 - 2023-01-30501Devils2Icehogs5BWBoxScore
98 - 2023-02-01510Icehogs6Rocket4AWBoxScore
102 - 2023-02-05529Senators3Icehogs6BWBoxScore
105 - 2023-02-08547Icehogs6Reign3AWBoxScore
106 - 2023-02-09554Senators2Icehogs7BWBoxScore
110 - 2023-02-13576Monsters3Icehogs2BLR1BoxScore
115 - 2023-02-18600Griffins1Icehogs6BWBoxScore
119 - 2023-02-22617Icehogs6Sound Tigers4AWBoxScore
121 - 2023-02-24627Eagles4Icehogs3BLXXBoxScore
126 - 2023-03-01653Moose4Icehogs5BWBoxScore
128 - 2023-03-03665Icehogs4Griffins6ALBoxScore
130 - 2023-03-05676Icehogs4Bears5ALBoxScore
131 - 2023-03-06681Rampage4Icehogs1BLBoxScore
135 - 2023-03-10705Wolves6Icehogs3BLBoxScore
137 - 2023-03-12715Icehogs1Sound Tigers7ALBoxScore
139 - 2023-03-14729Icehogs4Reign3AWXBoxScore
140 - 2023-03-15732Comets2Icehogs4BWBoxScore
143 - 2023-03-18749Icehogs4Senators3AWXBoxScore
145 - 2023-03-20757Wolfpack3Icehogs5BWBoxScore
147 - 2023-03-22765Icehogs2Rampage5ALBoxScore
151 - 2023-03-26783Icehogs4Admirals2AWBoxScore
152 - 2023-03-27790Reign6Icehogs2BLBoxScore
156 - 2023-03-31811Condors2Icehogs6BWBoxScore
158 - 2023-04-02820Icehogs4Moose2AWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2023-04-05834Moose3Icehogs4BWBoxScore
162 - 2023-04-06841Icehogs2Griffins4ALBoxScore
166 - 2023-04-10861Rocket2Icehogs5BWBoxScore
167 - 2023-04-11868Icehogs5Monsters4AWXR1BoxScore
170 - 2023-04-14884Icehogs8Heat7AWXBoxScore
171 - 2023-04-15888Sound Tigers5Icehogs2BLBoxScore
174 - 2023-04-18903Icehogs6Phantoms3AWBoxScore
176 - 2023-04-20913Icehogs1Admirals4ALBoxScore
178 - 2023-04-22920Admirals3Icehogs5BWBoxScore
180 - 2023-04-24928Icehogs5Heat7ALBoxScore
183 - 2023-04-27944Phantoms5Icehogs3BLBoxScore
185 - 2023-04-29954Icehogs5Penguins2AWBoxScore
188 - 2023-05-02970Phantoms8Icehogs3BLBoxScore
189 - 2023-05-03975Icehogs4Devils5ALXBoxScore
191 - 2023-05-05981Icehogs7Monsters8ALXXR1BoxScore
196 - 2023-05-101001Sound Tigers2Icehogs3BWXBoxScore
201 - 2023-05-151017Reign8Icehogs5BLBoxScore
202 - 2023-05-161021Icehogs4Crunch5ALXBoxScore
205 - 2023-05-191040Icehogs5Punishers4AWXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance74,87837,440
Attendance PCT93.60%93.60%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2808 - 93.60% 83,536$3,341,447$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,254,542$ 2,989,000$ 2,420,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
14,170$ 2,536,754$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 17,908$ 0$




Icehogs 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 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