Rocket

GP: 82 | W: 25 | L: 51 | OTL: 6 | P: 56
GF: 223 | GA: 310 | PP%: 16.77% | PK%: 78.45%
GM : Simon Deschamps | Morale : 50 | Team Overall : 45
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# 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
1Paul CareyXXX100.00623586726955485146465662484541050560
2Landon FerraroXXX100.00504395675349364535385254484439050500
3Ryan Lomberg (R)X100.00595053675747354235483560483532050490
4Andrew Crescenzi (R)X100.00533573707348353556353560483532050480
5Chase Balisy (R)XX100.00513595765451353541353566483532050480
6Brian Hart (R)X100.00414545457139394145414145433230050440
7Fredrik Karlstrom (R)X100.00434343435443434343434343433230050440
8Zach O'Brien (R)X100.00414545456739394145414145433230050440
9Auguste Impose (R)X100.00434545455442424345434345443230050440
10Brandon Duhaime (R)XX100.00404040407040404040404040403230050420
11Max Gaede (R)X100.00394343436437373943393943413230050420
12Andrew Yogan (R)XX100.00364040407135353640363640383230050400
13Scott MayfieldX100.00664372627861464735504372484136050580
14Taylor FedunX100.00523584646657364135493267484440050540
15Julian MelchioriX100.00553584597257353435373171473734050530
16Brian LashoffX100.00503595607344353135303268484741050520
17Kurtis MacDermid (R)X100.00695659608048404135394355483532050520
18Keegan Kanzig (R)X100.00394343438737373943393943413230050440
Scratches
1Mike Winther (R)X100.00414545455139394145414145433230050430
2Julien Pelletier (R)X100.00364040405335353640363640383230050390
3Markus Soberg (R)XX100.00333737375933333337333337353230050370
4Alexander Peters (R)X100.00394343436937373943393943413230050430
5Guillaume Gelinas (R)X100.00414545455739394145414145433230050430
6Andrew O'Brien (R)XX100.00364040406635353640363640383230050410
7Michael Downing (R)X100.00364040406235353640363640383230050400
8Eric Roy (R)X100.00333737375633333337333337353230050380
TEAM AVERAGE100.0046415651654338394139395043353205046
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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
1Joni Ortio100.0044458269454344454259584036050490
2Jeff Glass100.0041458678404646394565453532050490
Scratches
1Fredrik Pettersson-Wentzel (R)100.0035373561343333333333333230050370
2Olivier Roy (R)100.0035373565343333333333333230050370
TEAM AVERAGE100.003941606838393938384842353205043
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Johnston68726876786171CAN611500,000$


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Brett ConnollyMontrealLW/RW473736733145591762595318814.29%11101921.701012225715910161328350.18%27100011.4358001573
2Andrew CrescenziRocket (Mon)C82212849-14300651932004713110.50%16141717.28412165123711211103057.61%140600100.6913000323
3Brian LashoffRocket (Mon)D8212364814604810194386812.77%122139717.04448281190000121210.00%100000.6900000202
4Taylor FedunRocket (Mon)D71153348-313606110989385916.85%125160722.648917552030110237010.00%000000.6000000222
5Julian MelchioriRocket (Mon)D82143347-3628047112117357811.97%132174421.287815612190113265000.00%200000.5400000011
6Landon FerraroRocket (Mon)C/LW/RW78192645-1695381261705513511.18%20161720.74110114721402292841143.12%109000000.5627010205
7Chase BalisyRocket (Mon)C/RW82103444-88028124161661286.21%22142217.35110112924511281820150.22%22900000.6204000111
8Paul CareyRocket (Mon)C/LW/RW33212243143156987121449617.36%1970521.376410219200011213248.27%86800101.2224001513
9Auguste ImposeRocket (Mon)C82162339-9683079127127408612.60%13112813.7622410421011444048.29%99400000.6900105151
10Ryan LombergRocket (Mon)LW82182139-3210152061331633811311.04%17151018.424101437244101102511045.78%16600000.5236001240
11Kurtis MacDermidRocket (Mon)D8092837-2713620250509330589.68%77156119.524812401970114207100.00%000000.4700202031
12Scott MayfieldRocket (Mon)D53926351367151184966283913.64%69114621.645914311470003140000.00%000000.6100020215
13Brian HartRocket (Mon)RW82181129-163956764114276915.79%8117114.282138760000272054.55%7700000.5000100414
14Zach O'BrienRocket (Mon)RW82101222-18500734581265312.35%4123915.1124613186000050047.37%7600010.3600000200
15Fredrik KarlstromRocket (Mon)C8291221-14340717674194512.16%984410.3010142210111301047.52%78500000.5000000011
16Brandon DuhaimeRocket (Mon)LW/RW8241317-1742083215219457.69%7125415.3012331390001821143.75%6400000.2700000002
17Brian FlynnMontrealC/LW/RW104111572043231134112.90%321321.341344260005412068.46%27900001.4111000010
18Connor MurphyMontrealD2331215-10671577463811277.89%2350521.993472365000073010.00%000000.5900210011
19Max GaedeRocket (Mon)RW827714-15180522147102514.89%76277.6600014000000043.24%3700000.4500000111
20Keegan KanzigRocket (Mon)D822111351202015321246158.33%64130415.900114590001141100.00%000000.2000101010
21Andrew YoganRocket (Mon)C/LW68268-153404314267227.69%685912.64000050000230041.03%3900000.1900000001
22Alexander PetersRocket (Mon)D153258280321261650.00%1224516.37000115000011010.00%000000.4100000010
23Mike WintherRocket (Mon)C53145-5401518198105.26%32975.620334570001390046.02%17600000.3400000000
24Andrew O'BrienRocket (Mon)LW/D2000-340400000.00%23015.370000000002000.00%100000.0000000000
25Greg PaterynMontrealD1000-460142340.00%12323.230002500001000.00%000000.0000000000
26Guillaume GelinasRocket (Mon)D60001401845400.00%510317.2600003000010000.00%000000.0000000000
27Markus SobergRocket (Mon)LW/RW1000-100000000.00%088.200000000000000.00%000000.0000000000
Team Total or Average1525264447711-2111057125179316652179666154112.12%7972500916.406611618253427906713552692301250.13%656100220.5714337411323437
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joni OrtioRocket (Mon)82255060.8843.6946832128824760210.80826820323
2Jeff GlassRocket (Mon)110100.8703.9528900191460000.0000082000
Team Total or Average93255160.8833.7049732130726220210.808268282323


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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
Alexander PetersRocket (Mon)D211996-07-02Yes207 Lbs6 ft3NoNoNo2ELCPro & Farm700,000$70,000$0$NoLink
Andrew CrescenziRocket (Mon)C251992-07-29Yes207 Lbs6 ft5YesNoNo5RFAPro & Farm450,000$45,000$0$NoLink
Andrew O'BrienRocket (Mon)LW/D241992-11-21Yes200 Lbs6 ft3NoNoNo2RFAPro & Farm635,000$63,500$0$NoLink
Andrew YoganRocket (Mon)C/LW251991-12-04Yes203 Lbs6 ft3NoNoNo2RFAPro & Farm650,000$65,000$0$NoLink
Auguste ImposeRocket (Mon)C201997-06-18Yes180 Lbs5 ft10NoNoNo3ELCPro & Farm825,000$82,500$0$NoLink
Brandon DuhaimeRocket (Mon)LW/RW201997-05-22Yes203 Lbs6 ft0NoNoNo4ELCPro & Farm650,000$65,000$0$NoLink
Brian HartRocket (Mon)RW231993-11-25Yes203 Lbs6 ft2NoNoNo2RFAPro & Farm635,000$63,500$0$NoLink
Brian LashoffRocket (Mon)D271990-07-16No219 Lbs6 ft3NoNoNo4RFAPro & Farm775,000$77,500$0$NoLink
Chase BalisyRocket (Mon)C/RW251992-02-02Yes179 Lbs5 ft11YesNoNo6RFAPro & Farm500,000$50,000$0$NoLink
Eric RoyRocket (Mon)D221994-10-24Yes180 Lbs6 ft2NoNoNo2RFAPro & Farm525,000$52,500$0$NoLink
Fredrik KarlstromRocket (Mon)C191998-01-12Yes176 Lbs6 ft2NoNoNo4ELCPro & Farm700,000$70,000$0$NoLink
Fredrik Pettersson-WentzelRocket (Mon)G261991-07-23Yes170 Lbs6 ft1NoNoNo2RFAPro & Farm525,000$52,500$0$NoLink
Guillaume GelinasRocket (Mon)D241993-06-14Yes185 Lbs5 ft10NoNoNo2RFAPro & Farm605,000$60,500$0$NoLink
Jeff GlassRocket (Mon)G311985-11-19No206 Lbs6 ft3YesNoNo4UFAPro & Farm575,000$57,500$0$NoLink
Joni OrtioRocket (Mon)G261991-04-16No190 Lbs6 ft1NoNoNo5RFAPro & Farm650,000$65,000$0$NoLink
Julian MelchioriRocket (Mon)D251991-12-06No214 Lbs6 ft5NoNoNo6RFAPro & Farm725,000$72,500$0$NoLink
Julien PelletierRocket (Mon)LW211996-06-28Yes177 Lbs5 ft11NoNoNo2ELCPro & Farm650,000$65,000$0$NoLink
Keegan KanzigRocket (Mon)D221995-02-26Yes241 Lbs6 ft7NoNoNo2RFAPro & Farm667,000$66,700$0$NoLink
Kurtis MacDermidRocket (Mon)D231994-03-25Yes233 Lbs6 ft5YesNoNo6RFAPro & Farm650,000$65,000$0$NoLink
Landon FerraroRocket (Mon)C/LW/RW261991-08-08No176 Lbs6 ft0YesNoNo6RFAPro & Farm450,000$45,000$0$NoLink
Markus SobergRocket (Mon)LW/RW221995-04-22Yes187 Lbs6 ft0NoNoNo2RFAPro & Farm525,000$52,500$0$NoLink
Max GaedeRocket (Mon)RW251992-03-27Yes190 Lbs6 ft2NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
Michael DowningRocket (Mon)D221995-05-19Yes192 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$65,000$0$NoLink
Mike WintherRocket (Mon)C231994-07-09Yes172 Lbs6 ft0NoNoNo2RFAPro & Farm825,000$82,500$0$NoLink
Olivier RoyRocket (Mon)G261991-07-12Yes180 Lbs6 ft0NoNoNo2RFAPro & Farm525,000$52,500$0$NoLink
Paul CareyRocket (Mon)C/LW/RW291988-09-24No200 Lbs6 ft1YesNoNo6UFAPro & Farm875,000$875,000$0$NoLink
Ryan LombergRocket (Mon)LW221994-12-09Yes187 Lbs5 ft9YesNoNo6RFAPro & Farm600,000$60,000$0$NoLink
Scott MayfieldRocket (Mon)D241992-10-14No227 Lbs6 ft4NoNoNo4RFAPro & Farm1,200,000$120,000$0$NoLink
Taylor FedunRocket (Mon)D291988-06-04No201 Lbs6 ft1YesNoNo6UFAPro & Farm450,000$45,000$0$NoLink
Zach O'BrienRocket (Mon)RW251992-06-29Yes197 Lbs5 ft11NoNoNo2RFAPro & Farm825,000$82,500$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3024.07196 Lbs6 ft23.50657,233$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Landon FerraroPaul CareyChase Balisy40122
2Ryan LombergAndrew CrescenziZach O'Brien30122
3Brandon DuhaimeFredrik KarlstromBrian Hart20122
4Andrew YoganAuguste ImposeMax Gaede10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor Fedun40122
2Julian MelchioriKurtis MacDermid30122
3Brian LashoffKeegan Kanzig20122
4Taylor Fedun10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Landon FerraroPaul CareyChase Balisy60122
2Ryan LombergAndrew CrescenziZach O'Brien40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor Fedun60122
2Julian MelchioriKurtis MacDermid40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Paul CareyLandon Ferraro60122
2Ryan LombergChase Balisy40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor Fedun60122
2Julian MelchioriKurtis MacDermid40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Paul Carey60122Taylor Fedun60122
2Landon Ferraro40122Julian MelchioriKurtis MacDermid40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Paul CareyLandon Ferraro60122
2Ryan LombergChase Balisy40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor Fedun60122
2Julian MelchioriKurtis MacDermid40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Landon FerraroPaul CareyChase BalisyTaylor Fedun
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Landon FerraroPaul CareyChase BalisyTaylor Fedun
Extra Forwards
Normal PowerPlayPenalty Kill
Fredrik Karlstrom, Auguste Impose, Brian HartFredrik Karlstrom, Auguste ImposeBrian Hart
Extra Defensemen
Normal PowerPlayPenalty Kill
Brian Lashoff, Keegan Kanzig, Julian MelchioriBrian LashoffKeegan Kanzig, Julian Melchiori
Penalty Shots
Paul Carey, Landon Ferraro, Ryan Lomberg, Chase Balisy, Andrew Crescenzi
Goalie
#1 : Joni Ortio, #2 : Jeff Glass


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
1Admirals2020000049-51010000015-41010000034-100.000461000826764133660860164348591328357114.29%14192.86%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
2Baby Hawks20001010862100000103211000100054141.0008132100826764134160860164348591120347228.57%10370.00%11066209450.91%1279264548.36%651137747.28%1857121420056551117549
3Bears301011001216-420001100101001010000026-430.50012203200826764136360860164348974141588337.50%18572.22%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
4Bruins40301000713-62010100046-22020000037-420.25071118008267641360608601643481073966851000.00%23673.91%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
5Cabaret Lady Mary Ann412000101417-32110000078-12010001079-240.50014253900826764131176086016434814339678616425.00%19384.21%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
6Caroline303000001015-520200000811-31010000024-200.000101929008267641380608601643481023137889333.33%16662.50%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
7Chiefs20200000314-111010000035-21010000009-900.0003580082676413386086016434854201838400.00%9277.78%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
8Chill2020000027-51010000014-31010000013-200.00024610826764132960860164348671931325240.00%12466.67%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
9Comets220000001174110000006511100000052341.0001118290082676413536086016434852722318225.00%10370.00%21066209450.91%1279264548.36%651137747.28%1857121420056551117549
10Cougars404000001117-62020000069-32020000058-300.00011203100826764131166086016434812537348824416.67%17476.47%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
11Crunch42100100171342100010074321100000109150.6251730470182676413129608601643488130505323417.39%13376.92%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
12Heat2020000028-61010000024-21010000004-400.0002460082676413426086016434873216658800.00%15473.33%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
13Jayhawks20100010330100000102111010000012-120.50033600826764132760860164348521318446116.67%90100.00%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
14Las Vegas2020000057-21010000045-11010000012-100.000510150082676413496086016434853983612216.67%4250.00%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
15Manchots30200100711-42010010046-21010000035-210.1677132000826764138160860164348772647529222.22%160100.00%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
16Marlies413000001327-1421100000911-220200000416-1220.2501323360082676413946086016434814641369816425.00%18761.11%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
17Minnesota2010010025-31010000002-21000010023-110.2502460082676413336086016434861171227600.00%6183.33%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
18Monarchs20200000511-61010000026-41010000035-200.00059140082676413666086016434894241438600.00%7271.43%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
19Monsters31200000810-2110000003212020000058-320.333813210082676413536086016434896312871800.00%14378.57%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
20Monsters2020000016-51010000002-21010000014-300.00012300826764133360860164348651824341317.69%11372.73%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
21Oceanics2020000048-41010000014-31010000034-100.000471100826764133460860164348951916417228.57%8275.00%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
22Oil Kings22000000633110000002111100000042241.0006121800826764133360860164348471338355120.00%11190.91%11066209450.91%1279264548.36%651137747.28%1857121420056551117549
23Phantoms30201000911-2201010006601010000035-220.3339162500826764136360860164348773540591300.00%20670.00%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
24Senators41300000710-32020000014-32110000066020.250712190082676413776086016434811221568414214.29%27485.19%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
25Sharks2110000057-2110000005321010000004-420.500581300826764134360860164348120441846200.00%80100.00%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
26Sound Tigers3200001014951100000043121000010106461.000142337008267641383608601643487826247018422.22%11372.73%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
27Spiders30101001712-51000100032120100001410-630.500713200082676413716086016434811640465213323.08%16381.25%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
28Stars21100000541110000003121010000023-120.50058130082676413496086016434850112640800.00%13284.62%11066209450.91%1279264548.36%651137747.28%1857121420056551117549
29Thunder403000011116-52010000146-220200000710-310.1251119300082676413986086016434812735287822418.18%12283.33%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
Total82155105452223310-874192204321113141-284162901131110169-59560.3412233846071182676413187660860164348262376198316633165316.77%3998678.45%51066209450.91%1279264548.36%651137747.28%1857121420056551117549
31Wolf Pack3110001010821010000023-12100001085340.667101424008267641385608601643481383024729222.22%12191.67%01066209450.91%1279264548.36%651137747.28%1857121420056551117549
_Since Last GM Reset82155105452223310-874192204321113141-284162901131110169-59560.3412233846071182676413187660860164348262376198316633165316.77%3998678.45%51066209450.91%1279264548.36%651137747.28%1857121420056551117549
_Vs Conference358210123098125-2718510001205360-717311011104565-20260.3719817327101826764138406086016434810172774406921492416.11%1633777.30%51066209450.91%1279264548.36%651137747.28%1857121420056551117549
_Vs Division1454001002550-25731001001120-9723000001430-16110.39325436810826764132576086016434845111514724650714.00%691775.36%21066209450.91%1279264548.36%651137747.28%1857121420056551117549

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8256W122338460718762623761983166311
All Games
GPWLOTWOTL SOWSOLGFGA
8215515452223310
Home Games
GPWLOTWOTL SOWSOLGFGA
419224321113141
Visitor Games
GPWLOTWOTL SOWSOLGFGA
416291131110169
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3165316.77%3998678.45%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6086016434882676413
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1066209450.91%1279264548.36%651137747.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1857121420056551117549


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2018-10-031Rocket0Marlies8LBoxScore
4 - 2018-10-0623Rocket3Manchots5LBoxScore
9 - 2018-10-1151Monarchs6Rocket2LBoxScore
11 - 2018-10-1362Manchots4Rocket3LXBoxScore
13 - 2018-10-1575Cougars5Rocket3LBoxScore
15 - 2018-10-1786Chiefs5Rocket3LBoxScore
18 - 2018-10-20107Rocket3Senators2WBoxScore
21 - 2018-10-23124Heat4Rocket2LBoxScore
23 - 2018-10-25135Rocket7Crunch5WBoxScore
25 - 2018-10-27152Rocket3Bruins5LBoxScore
28 - 2018-10-30171Stars1Rocket3WBoxScore
30 - 2018-11-01182Bears5Rocket6WXBoxScore
32 - 2018-11-03196Thunder3Rocket2LXXBoxScore
34 - 2018-11-05211Rocket5Sound Tigers4WXXBoxScore
35 - 2018-11-06216Rocket5Wolf Pack4WXXBoxScore
37 - 2018-11-08230Crunch0Rocket4WBoxScore
39 - 2018-11-10246Las Vegas5Rocket4LBoxScore
42 - 2018-11-13270Rocket4Oil Kings2WBoxScore
44 - 2018-11-15283Rocket0Heat4LBoxScore
46 - 2018-11-17295Rocket5Comets2WBoxScore
48 - 2018-11-19311Bears5Rocket4LXBoxScore
50 - 2018-11-21319Rocket2Spiders3LXXBoxScore
52 - 2018-11-23335Rocket3Crunch4LBoxScore
53 - 2018-11-24350Bruins4Rocket1LBoxScore
56 - 2018-11-27369Caroline6Rocket4LBoxScore
60 - 2018-12-01399Wolf Pack3Rocket2LBoxScore
61 - 2018-12-02410Sharks3Rocket5WBoxScore
63 - 2018-12-04421Senators2Rocket0LBoxScore
65 - 2018-12-06433Rocket3Senators4LBoxScore
68 - 2018-12-09457Rocket5Baby Hawks4WXBoxScore
70 - 2018-12-11472Rocket2Minnesota3LXBoxScore
72 - 2018-12-13481Caroline5Rocket4LBoxScore
74 - 2018-12-15496Senators2Rocket1LBoxScore
76 - 2018-12-17514Bruins2Rocket3WXBoxScore
78 - 2018-12-19529Rocket1Monsters4LBoxScore
79 - 2018-12-20538Rocket1Jayhawks2LBoxScore
81 - 2018-12-22548Rocket1Las Vegas2LBoxScore
87 - 2018-12-28580Rocket5Cabaret Lady Mary Ann4WXXBoxScore
88 - 2018-12-29590Rocket4Thunder6LBoxScore
90 - 2018-12-31608Rocket2Stars3LBoxScore
93 - 2019-01-03626Comets5Rocket6WBoxScore
95 - 2019-01-05640Chill4Rocket1LBoxScore
97 - 2019-01-07654Minnesota2Rocket0LBoxScore
98 - 2019-01-08662Rocket4Cougars6LBoxScore
100 - 2019-01-10677Rocket0Chiefs9LBoxScore
102 - 2019-01-12691Monsters2Rocket0LBoxScore
104 - 2019-01-14705Rocket0Bruins2LBoxScore
105 - 2019-01-15714Cabaret Lady Mary Ann5Rocket3LBoxScore
108 - 2019-01-18734Rocket2Monsters4LBoxScore
109 - 2019-01-19745Phantoms3Rocket4WXBoxScore
113 - 2019-01-23766Jayhawks1Rocket2WXXBoxScore
123 - 2019-02-02790Spiders2Rocket3WXBoxScore
124 - 2019-02-03803Oil Kings1Rocket2WBoxScore
126 - 2019-02-05815Admirals5Rocket1LBoxScore
128 - 2019-02-07828Oceanics4Rocket1LBoxScore
130 - 2019-02-09847Marlies8Rocket5LBoxScore
135 - 2019-02-14881Rocket1Chill3LBoxScore
137 - 2019-02-16897Rocket3Thunder4LBoxScore
138 - 2019-02-17908Rocket2Cabaret Lady Mary Ann5LBoxScore
140 - 2019-02-19920Monsters2Rocket3WBoxScore
142 - 2019-02-21934Phantoms3Rocket2LBoxScore
144 - 2019-02-23952Rocket4Marlies8LBoxScore
146 - 2019-02-25963Rocket2Spiders7LBoxScore
147 - 2019-02-26974Rocket1Cougars2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2019-03-01994Rocket3Wolf Pack1WBoxScore
151 - 2019-03-021003Manchots2Rocket1LBoxScore
154 - 2019-03-051028Rocket3Monarchs5LBoxScore
156 - 2019-03-071043Rocket0Sharks4LBoxScore
157 - 2019-03-081047Rocket3Admirals4LBoxScore
161 - 2019-03-121075Cougars4Rocket3LBoxScore
163 - 2019-03-141084Rocket5Sound Tigers2WBoxScore
165 - 2019-03-161104Baby Hawks2Rocket3WXXBoxScore
168 - 2019-03-191125Rocket3Phantoms5LBoxScore
170 - 2019-03-211139Sound Tigers3Rocket4WBoxScore
172 - 2019-03-231156Crunch4Rocket3LXBoxScore
173 - 2019-03-241166Rocket2Caroline4LBoxScore
175 - 2019-03-261180Cabaret Lady Mary Ann3Rocket4WBoxScore
177 - 2019-03-281191Rocket3Monsters4LBoxScore
179 - 2019-03-301204Rocket3Oceanics4LBoxScore
182 - 2019-04-021232Thunder3Rocket2LBoxScore
184 - 2019-04-041246Rocket2Bears6LBoxScore
186 - 2019-04-061259Marlies3Rocket4WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance60,53330,733
Attendance PCT73.82%74.96%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2226 - 74.20% 62,918$2,579,650$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,891,995$ 2,759,200$ 2,756,075$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
14,755$ 2,891,995$ 30 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,755$ 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
201882155105452223310-874192204321113141-284162901131110169-59562233846071182676413187660860164348262376198316633165316.77%3998678.45%51066209450.91%1279264548.36%651137747.28%1857121420056551117549
Total Regular Season82155105452223310-874192204321113141-284162901131110169-59562233846071182676413187660860164348262376198316633165316.77%3998678.45%51066209450.91%1279264548.36%651137747.28%1857121420056551117549