LAS CRUCES MESCALEROS

GP: 27 | W: 15 | L: 12 | OTL: 0 | P: 30
GF: 86 | GA: 82 | PP%: 20.24% | PK%: 77.66%
GM : Peter S | Morale : 56 | Team Overall : 63
Next Games #302 vs EDMONTON OILERS
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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
1Anton RodinX100.00939319667482758140768367568184060712
2Dave BollandX99.00261599667271855979545489669999056650
3Ryan DonallyXX100.00768943687382766150615172689999065652
4David DesharnaisX100.00504485637080767165586352659992061640
5Zack PhillipsX100.00767436657783766559685656587980022632
6Daniel Sprong (R)X100.0022795767876756643596058657169062622
7Kris VersteegXX100.00171299647271885361434991739492059620
8Patrice CormierXX100.00442798578165676682655864579285025620
9Daniel WinnikXX100.00352899607997855045445766618991062612
10Linus Lindström (R)X100.00472387747760606257636056586563063612
11Jakob Pelletier (R)X100.0018694696468676457636258745574059601
12Nils Höglander (R)X100.00241275646967636058596058586562057582
13Miro Heiskanen (R)X99.00621680878490837435837868587669065741
14Noah JuulsenX100.0014199898578808944928071447265062731
15Dalton ThrowerX100.00888629578480797639696357418176068672
16Lane MansonX100.00263099677253636540645779589999059652
17Cal Foote (R)X100.00736262748260696040625363446964056641
18Luke Green (R)X100.00753167667460605730575656445857060592
19Mattias Norlinder (R)X100.00551079696462676044595359484855057592
Scratches
1Andrei KostitsynXX100.00999435577888848439736472789999062710
2Cameron Hillis (R)X100.00342278716963615966595755556053054582
3Martin Reway (R)X100.00362587697459674539504753596871023542
4Connor Crisp (R)X100.00341991687545574239484655556465023522
5Bill ArnoldXXX100.00232278567941482738262842437375023422
6Corey PotterX100.00534396637969715550484867569998026640
7Michael SauerX100.0040599617972774850443579569189026640
8Andrei MironovX100.00544192647754714644402566447963023582
9Sean Durzi (R)X100.00255260636266645544594468496163023572
TEAM AVERAGE99.9347357767756971614959556457787704962
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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.
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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
1Phil Grubauer100.0065656577697774787067558369063702
2Alexandar Georgiev (R)100.0069676966646568646569687770057652
Scratches
1Zachary Fucale (R)100.0070686977726769686666668176026681
2Ilya Sorokin (R)100.0074565677696764686563586866023652
3Wouter Peeters (R)100.0063605878665660555662576861023602
TEAM AVERAGE100.006863637568666767646561756803866
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ken Hitchcock87819390999952CAN6411,100,000$


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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
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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
# 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
1Anton RodinLAS CRUCES MESCALEROS (SPU)RW272113348106507624114315618.42%1147817.742791471000016133.33%36188111.4200244141
2Noah JuulsenLAS CRUCES MESCALEROS (SPU)D2772431-32033910748566.54%4066924.8058132681011288100.00%02717110.9300000511
3Dave BollandLAS CRUCES MESCALEROS (SPU)C2781321195234852173915.38%1449518.341566710000760054.61%564617010.8500010111
4Miro HeiskanenLAS CRUCES MESCALEROS (SPU)D2731619-323581357328414.11%4275527.982791278000681000.00%02430000.5000100112
5David DesharnaisLAS CRUCES MESCALEROS (SPU)C27871571715222663163812.70%834012.5900004000183053.04%18144000.8811012032
6Jakob PelletierLAS CRUCES MESCALEROS (SPU)LW2749135008214714268.51%1049818.4732510680002230137.84%37710000.5200000000
7Dalton ThrowerLAS CRUCES MESCALEROS (SPU)D270111191126053142019200.00%1844716.5900014500004000.00%01415000.4900336100
8Daniel SprongLAS CRUCES MESCALEROS (SPU)RW277310-1206297326449.59%1035213.0700007000001046.67%15115000.5701000013
9Linus LindströmLAS CRUCES MESCALEROS (SPU)C274610355192935142311.43%1340515.02000380003281142.76%456113000.4900001101
10Kris VersteegLAS CRUCES MESCALEROS (SPU)C/RW27448600163930101913.33%1542915.920002501012791147.37%38511000.3711000010
11Cal FooteLAS CRUCES MESCALEROS (SPU)D27178450303726188135.56%3649718.44000046000054000.00%0414100.3200033100
12Andrei KostitsynLAS CRUCES MESCALEROS (SPU)LW/RW26268-4714556397322402.74%537414.421239480003350045.45%2297000.4300432001
13Daniel WinnikLAS CRUCES MESCALEROS (SPU)C/LW273474007141941415.79%1031311.6000001000010138.46%1348000.4511000001
14Luke GreenLAS CRUCES MESCALEROS (SPU)D250664100221211330.00%1030912.390000800009000.00%007000.3900000000
15Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW25426-210015212671715.38%333713.51202353000000041.18%1744000.3600000000
16Cameron HillisLAS CRUCES MESCALEROS (SPU)C24336-4004231971215.79%527111.3300000000000250.93%16114000.4400000001
17Ryan DonallyLAS CRUCES MESCALEROS (SPU)C/LW27246-1613545283412305.88%633712.49000120000331036.59%41116000.3600223010
18Patrice CormierLAS CRUCES MESCALEROS (SPU)C/LW3303-10012101330.00%05217.3410115000000033.33%300001.1500000001
19Lane MansonLAS CRUCES MESCALEROS (SPU)D2712310011683112.50%92017.4600002000055000.00%014000.3000000010
20Mattias NorlinderLAS CRUCES MESCALEROS (SPU)D25011610092611440.00%1630812.320000100000000.00%015000.0600000000
21Corey PotterLAS CRUCES MESCALEROS (SPU)D2000-200211010.00%13015.080000000000000.00%000000.0000000000
22Michael SauerLAS CRUCES MESCALEROS (SPU)D2000-200122000.00%12814.070000000000000.00%000000.0000000000
23Zack PhillipsLAS CRUCES MESCALEROS (SPU)C3000-100225120.00%0237.7500000000010060.00%521000.0000000000
Team Total or Average51385141226344882505095168512955029.99%283795915.51173148886571121958514748.65%1589164180330.5734121721111415
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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
1Phil GrubauerLAS CRUCES MESCALEROS (SPU)1710600.9003.059850050500262100.5004179200
2Alexandar GeorgievLAS CRUCES MESCALEROS (SPU)94500.8922.984830024223112200.0000817001
3Zachary FucaleLAS CRUCES MESCALEROS (SPU)21100.8673.001200064523000.000020000
4Ilya SorokinLAS CRUCES MESCALEROS (SPU)10000.8673.5334002158000.000001000
Team Total or Average29151200.8953.0316230082783405300.50042727201


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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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Alexandar GeorgievLAS CRUCES MESCALEROS (SPU)G242/10/1996 12:59:29 AMYes180 Lbs6 ft1NoNoNo2Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No500,000$
Andrei KostitsynLAS CRUCES MESCALEROS (SPU)LW/RW352/3/1985No223 Lbs6 ft0NoNoNo1Pro & Farm800,000$541,007$40,000$27,050$80,000$54,101$No
Andrei MironovLAS CRUCES MESCALEROS (SPU)D267/29/1994 7:34:54 AMNo206 Lbs6 ft2NoNoNo1Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No
Anton RodinLAS CRUCES MESCALEROS (SPU)RW308/12/1990 7:02:52 AMNo195 Lbs6 ft0NoNoNo1Pro & Farm725,000$490,288$40,000$27,050$72,500$49,029$No
Bill ArnoldLAS CRUCES MESCALEROS (SPU)C/LW/RW285/13/1992 3:31:10 AMNo229 Lbs6 ft0NoNoNo2Pro & Farm646,000$436,863$40,000$27,050$64,600$43,686$No646,000$
Cal FooteLAS CRUCES MESCALEROS (SPU)D2112/13/1998 5:20:30 AMYes223 Lbs6 ft7NoNoNo1Pro & Farm650,000$439,568$40,000$27,050$65,000$43,957$No
Cameron HillisLAS CRUCES MESCALEROS (SPU)C216/1/1999 4:11:35 AMYes184 Lbs6 ft1NoNoNo3Pro & Farm550,000$371,942$40,000$27,050$55,000$37,194$No550,000$550,000$
Connor CrispLAS CRUCES MESCALEROS (SPU)LW256/22/1995 7:31:04 AMYes196 Lbs6 ft3NoNoNo1Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No
Corey PotterLAS CRUCES MESCALEROS (SPU)D361/5/1984No215 Lbs6 ft3NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Dalton ThrowerLAS CRUCES MESCALEROS (SPU)D269/10/1994 3:21:55 AMNo243 Lbs6 ft6NoNoNo3Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No600,000$600,000$
Daniel SprongLAS CRUCES MESCALEROS (SPU)RW233/17/1997 4:44:17 AMYes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No500,000$
Daniel WinnikLAS CRUCES MESCALEROS (SPU)C/LW353/6/1985No221 Lbs6 ft2NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Dave BollandLAS CRUCES MESCALEROS (SPU)C346/5/1986No191 Lbs6 ft0NoNoNo1Pro & Farm910,001$615,396$40,000$27,050$91,000$61,540$No
David DesharnaisLAS CRUCES MESCALEROS (SPU)C349/14/1986No189 Lbs5 ft7NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Ilya SorokinLAS CRUCES MESCALEROS (SPU)G258/4/1995 6:03:00 AMYes182 Lbs6 ft5NoNoNo3Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No600,000$600,000$
Jakob PelletierLAS CRUCES MESCALEROS (SPU)LW193/7/2001 6:00:31 AMYes160 Lbs5 ft9NoNoNo3Pro & Farm750,000$507,194$40,000$27,050$75,000$50,719$No750,000$750,000$
Kris VersteegLAS CRUCES MESCALEROS (SPU)C/RW345/13/1986No193 Lbs5 ft10NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Lane MansonLAS CRUCES MESCALEROS (SPU)D368/10/1984 7:38:26 AMNo189 Lbs6 ft0NoNoNo1Pro & Farm800,001$541,008$40,000$27,050$80,000$54,101$No
Linus LindströmLAS CRUCES MESCALEROS (SPU)C221/8/1998 4:35:33 AMYes175 Lbs6 ft1NoNoNo4Pro & Farm650,000$439,568$40,000$27,050$65,000$43,957$No650,000$650,000$650,000$
Luke GreenLAS CRUCES MESCALEROS (SPU)D226/1/1998 3:04:47 AMYes204 Lbs6 ft3NoNoNo2Pro & Farm550,000$371,942$40,000$27,050$55,000$37,194$No550,000$
Martin RewayLAS CRUCES MESCALEROS (SPU)LW256/22/1995 11:47:40 AMYes188 Lbs6 ft2NoNoNo1Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No
Mattias NorlinderLAS CRUCES MESCALEROS (SPU)D196/1/2001 7:58:14 AMYes200 Lbs6 ft0NoNoNo3Pro & Farm550,000$371,942$40,000$27,050$55,000$37,194$No550,000$550,000$
Michael SauerLAS CRUCES MESCALEROS (SPU)D338/7/1987No222 Lbs6 ft3NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Miro HeiskanenLAS CRUCES MESCALEROS (SPU)D217/18/1999 4:33:13 AMYes182 Lbs6 ft5NoNoNo1Pro & Farm750,000$507,194$40,000$27,050$75,000$50,719$No
Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW1912/20/2000 6:01:05 AMYes185 Lbs5 ft9NoNoNo3Pro & Farm650,000$439,568$40,000$27,050$65,000$43,957$No650,000$650,000$
Noah JuulsenLAS CRUCES MESCALEROS (SPU)D234/2/1997 3:22:09 AMNo184 Lbs6 ft4NoNoNo4Pro & Farm750,000$507,194$40,000$27,050$75,000$50,719$No750,000$750,000$750,000$
Patrice CormierLAS CRUCES MESCALEROS (SPU)C/LW306/14/1990No235 Lbs6 ft2NoNoNo1Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No
Phil GrubauerLAS CRUCES MESCALEROS (SPU)G2911/25/1991 3:33:30 AMNo200 Lbs6 ft1NoNoNo2Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No600,000$
Ryan DonallyLAS CRUCES MESCALEROS (SPU)C/LW367/26/1984 9:08:14 AMNo191 Lbs6 ft0NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Sean DurziLAS CRUCES MESCALEROS (SPU)D216/1/1999 7:31:33 AMYes204 Lbs6 ft1NoNoNo2Pro & Farm650,000$439,568$40,000$27,050$65,000$43,957$No650,000$
Wouter PeetersLAS CRUCES MESCALEROS (SPU)G226/1/1998 3:13:12 AMYes208 Lbs6 ft1NoNoNo2Pro & Farm500,000$338,129$40,000$27,050$50,000$33,813$No500,000$
Zachary FucaleLAS CRUCES MESCALEROS (SPU)G255/28/1995 2:40:50 AMYes191 Lbs6 ft3NoNoNo1Pro & Farm750,000$507,194$40,000$27,050$75,000$50,719$No
Zack PhillipsLAS CRUCES MESCALEROS (SPU)C2810/28/1992 10:58:14 AMNo207 Lbs6 ft3NoNoNo1Pro & Farm600,000$405,755$40,000$27,050$60,000$40,576$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3326.88200 Lbs6 ft11.76625,182$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierDave BollandAnton Rodin40122
2Patrice CormierRyan DonallyDaniel Sprong30122
3Daniel WinnikDavid DesharnaisKris Versteeg20122
4Nils HöglanderZack PhillipsRyan Donally10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenNoah Juulsen40122
2Cal FooteDalton Thrower30122
3Luke GreenMattias Norlinder20122
4Lane MansonMiro Heiskanen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierDave BollandAnton Rodin60122
2Nils HöglanderPatrice CormierDaniel Sprong40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenNoah Juulsen60122
2Dalton ThrowerCal Foote40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dave BollandKris Versteeg60122
2Ryan DonallyDaniel Winnik40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenNoah Juulsen60122
2Dalton ThrowerLane Manson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1David Desharnais60122Miro HeiskanenNoah Juulsen60122
2Daniel Winnik40122Dalton ThrowerLane Manson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dave BollandAnton Rodin60122
2Patrice CormierDaniel Sprong40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenNoah Juulsen60122
2Dalton ThrowerCal Foote40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierDave BollandAnton RodinMiro HeiskanenNoah Juulsen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Patrice CormierDave BollandKris VersteegMiro HeiskanenNoah Juulsen
Extra Forwards
Normal PowerPlayPenalty Kill
Linus Lindström, David Desharnais, Zack PhillipsKris Versteeg, David DesharnaisPatrice Cormier
Extra Defensemen
Normal PowerPlayPenalty Kill
Dalton Thrower, Luke Green, Miro HeiskanenLuke GreenLane Manson, Cal Foote
Penalty Shots
Kris Versteeg, Anton Rodin, Jakob Pelletier, Miro Heiskanen, David Desharnais
Goalie
#1 : Phil Grubauer, #2 : Alexandar Georgiev
Custom OT Lines Forwards
Dave Bolland, Anton Rodin, Jakob Pelletier, Ryan Donally, David Desharnais, Zack Phillips, Zack Phillips, Daniel Sprong, Kris Versteeg, Patrice Cormier, Linus Lindström
Custom OT Lines Defensemen
Miro Heiskanen, Noah Juulsen, Dalton Thrower, Cal Foote, Lane Manson


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
1BANGOR PUPPIES1010000024-21010000024-20000000000000.00023500253327332275314259735111014200.00%5180.00%029560348.92%28558049.14%19340248.01%559312585244479238
2CAPE BRETON LEPRECHAUNS11000000413000000000001100000041321.0004610002533273272753142597291018175120.00%4175.00%029560348.92%28558049.14%19340248.01%559312585244479238
3CAPE FEAR WILDCATS1010000014-31010000014-30000000000000.0001120025332732327531425973594252150.00%20100.00%029560348.92%28558049.14%19340248.01%559312585244479238
4COQUITLAM EXPRESS11000000431110000004310000000000021.000461000253327331275314259722132135120.00%10100.00%029560348.92%28558049.14%19340248.01%559312585244479238
5EDMONTON OILERS22000000523110000002111100000031241.0005914002533273652753142597491974415120.00%7185.71%029560348.92%28558049.14%19340248.01%559312585244479238
6HALIFAX HELL312000001012-2211000007611010000036-320.333101727002533273972753142597842454541417.14%12283.33%129560348.92%28558049.14%19340248.01%559312585244479238
7HAWAII PUNCH42200000131213210000012841010000014-340.500132336002533273124275314259713644898014428.57%12375.00%029560348.92%28558049.14%19340248.01%559312585244479238
8MANHATTAN SWEDES1010000034-1000000000001010000034-100.0003580025332732427531425973383116300.00%3166.67%029560348.92%28558049.14%19340248.01%559312585244479238
9NEWTON NIGHTHAWKS4220000013112211000007522110000066040.50013233600253327314427531425979832748817635.29%12466.67%029560348.92%28558049.14%19340248.01%559312585244479238
10PENSACOLA BLACK BEARS1010000035-2000000000001010000035-200.00035800253327328275314259729161918000.00%7185.71%029560348.92%28558049.14%19340248.01%559312585244479238
11PHILADELPHIA PHANTOMS10000010431000000000001000001043121.00044800253327338275314259735131416200.00%20100.00%029560348.92%28558049.14%19340248.01%559312585244479238
12PINCHER CREEK WOLVERINES21100000770110000006421010000013-220.5007101700253327374275314259777202733300.00%6350.00%029560348.92%28558049.14%19340248.01%559312585244479238
13SAN JOSE AVACADOES1010000047-3000000000001010000047-300.0004610002533273312753142597271633155120.00%4250.00%029560348.92%28558049.14%19340248.01%559312585244479238
14SYRACUSE BABY BULLS22000000633110000002111100000042241.0006101600253327354275314259748222332300.00%9188.89%029560348.92%28558049.14%19340248.01%559312585244479238
Total2714120001086824149500000463791357000104045-5300.556861412270025332738512753142597783283488509841720.24%942177.66%129560348.92%28558049.14%19340248.01%559312585244479238
16VANCOUVER THOUSANDAIRES22000000743110000003121100000043141.00071320002533273592753142597462616474125.00%8187.50%029560348.92%28558049.14%19340248.01%559312585244479238
_Since Last GM Reset2714120001086824149500000463791357000104045-5300.556861412270025332738512753142597783283488509841720.24%942177.66%129560348.92%28558049.14%19340248.01%559312585244479238
_Vs Conference221390000069627139400000443311945000002529-4260.591691171860025332736952753142597628217394429701521.43%721677.78%129560348.92%28558049.14%19340248.01%559312585244479238
_Vs Division12750000040373862000003122941300000915-6140.5834066106002533273380275314259736712319521239615.38%40977.50%129560348.92%28558049.14%19340248.01%559312585244479238

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2730W18614122785178328348850900
All Games
GPWLOTWOTL SOWSOLGFGA
27141200108682
Home Games
GPWLOTWOTL SOWSOLGFGA
149500004637
Visitor Games
GPWLOTWOTL SOWSOLGFGA
135700104045
Last 10 Games
WLOTWOTL SOWSOL
550000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
841720.24%942177.66%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27531425972533273
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
29560348.92%28558049.14%19340248.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
559312585244479238


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-09-084LAS CRUCES MESCALEROS3EDMONTON OILERS1WBoxScore
2 - 2020-09-0913HAWAII PUNCH2LAS CRUCES MESCALEROS5WBoxScore
4 - 2020-09-1125HALIFAX HELL3LAS CRUCES MESCALEROS2LBoxScore
7 - 2020-09-1441LAS CRUCES MESCALEROS2NEWTON NIGHTHAWKS4LBoxScore
8 - 2020-09-1548LAS CRUCES MESCALEROS1HAWAII PUNCH4LBoxScore
10 - 2020-09-1759EDMONTON OILERS1LAS CRUCES MESCALEROS2WBoxScore
11 - 2020-09-1871HAWAII PUNCH2LAS CRUCES MESCALEROS1LBoxScore
12 - 2020-09-1982LAS CRUCES MESCALEROS4CAPE BRETON LEPRECHAUNS1WBoxScore
14 - 2020-09-2193LAS CRUCES MESCALEROS3HALIFAX HELL6LBoxScore
16 - 2020-09-23102HALIFAX HELL3LAS CRUCES MESCALEROS5WBoxScore
18 - 2020-09-25116SYRACUSE BABY BULLS1LAS CRUCES MESCALEROS2WBoxScore
19 - 2020-09-26120LAS CRUCES MESCALEROS1PINCHER CREEK WOLVERINES3LBoxScore
22 - 2020-09-29139CAPE FEAR WILDCATS4LAS CRUCES MESCALEROS1LBoxScore
23 - 2020-09-30152LAS CRUCES MESCALEROS4SYRACUSE BABY BULLS2WBoxScore
25 - 2020-10-02161NEWTON NIGHTHAWKS1LAS CRUCES MESCALEROS5WBoxScore
26 - 2020-10-03173PINCHER CREEK WOLVERINES4LAS CRUCES MESCALEROS6WBoxScore
27 - 2020-10-04180LAS CRUCES MESCALEROS4VANCOUVER THOUSANDAIRES3WBoxScore
29 - 2020-10-06190LAS CRUCES MESCALEROS3MANHATTAN SWEDES4LBoxScore
30 - 2020-10-07199LAS CRUCES MESCALEROS3PENSACOLA BLACK BEARS5LBoxScore
32 - 2020-10-09211BANGOR PUPPIES4LAS CRUCES MESCALEROS2LBoxScore
34 - 2020-10-11225VANCOUVER THOUSANDAIRES1LAS CRUCES MESCALEROS3WBoxScore
35 - 2020-10-12231LAS CRUCES MESCALEROS4SAN JOSE AVACADOES7LBoxScore
36 - 2020-10-13243LAS CRUCES MESCALEROS4PHILADELPHIA PHANTOMS3WXXBoxScore
39 - 2020-10-16255HAWAII PUNCH4LAS CRUCES MESCALEROS6WBoxScore
41 - 2020-10-18267LAS CRUCES MESCALEROS4NEWTON NIGHTHAWKS2WBoxScore
42 - 2020-10-19277NEWTON NIGHTHAWKS4LAS CRUCES MESCALEROS2LBoxScore
45 - 2020-10-22292COQUITLAM EXPRESS3LAS CRUCES MESCALEROS4WBoxScore
46 - 2020-10-23302LAS CRUCES MESCALEROS-EDMONTON OILERS-
47 - 2020-10-24312SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
49 - 2020-10-26323LAS CRUCES MESCALEROS-HAWAII PUNCH-
51 - 2020-10-28335CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
52 - 2020-10-29346LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
54 - 2020-10-31357LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
55 - 2020-11-01367SYRACUSE BABY BULLS-LAS CRUCES MESCALEROS-
57 - 2020-11-03381HALIFAX HELL-LAS CRUCES MESCALEROS-
59 - 2020-11-05391LAS CRUCES MESCALEROS-CALGARY WRANGLERS-
61 - 2020-11-07402MANHATTAN SWEDES-LAS CRUCES MESCALEROS-
62 - 2020-11-08410LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
65 - 2020-11-11427PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
67 - 2020-11-13441VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
69 - 2020-11-15452LAS CRUCES MESCALEROS-CALGARY WRANGLERS-
71 - 2020-11-17461LAS CRUCES MESCALEROS-HALIFAX HELL-
73 - 2020-11-19472EDMONTON OILERS-LAS CRUCES MESCALEROS-
74 - 2020-11-20478LAS CRUCES MESCALEROS-CAPE FEAR WILDCATS-
75 - 2020-11-21489LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
77 - 2020-11-23498DETROIT STEELERS-LAS CRUCES MESCALEROS-
78 - 2020-11-24514LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
80 - 2020-11-26521NEWTON NIGHTHAWKS-LAS CRUCES MESCALEROS-
81 - 2020-11-27536CHICAGO UNDERTAKERS-LAS CRUCES MESCALEROS-
83 - 2020-11-29547LAS CRUCES MESCALEROS-SYRACUSE BABY BULLS-
84 - 2020-11-30558LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
86 - 2020-12-02564EDMONTON OILERS-LAS CRUCES MESCALEROS-
88 - 2020-12-04582CALGARY WRANGLERS-LAS CRUCES MESCALEROS-
89 - 2020-12-05587LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
91 - 2020-12-07600HAWAII PUNCH-LAS CRUCES MESCALEROS-
93 - 2020-12-09616LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
94 - 2020-12-10622HALIFAX HELL-LAS CRUCES MESCALEROS-
97 - 2020-12-13643CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
98 - 2020-12-14653LAS CRUCES MESCALEROS-EDMONTON OILERS-
99 - 2020-12-15664MANHATTAN SWEDES-LAS CRUCES MESCALEROS-
100 - 2020-12-16674LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
102 - 2020-12-18686CAPE BRETON LEPRECHAUNS-LAS CRUCES MESCALEROS-
104 - 2020-12-20697LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
106 - 2020-12-22709EDMONTON OILERS-LAS CRUCES MESCALEROS-
108 - 2020-12-24721LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
109 - 2020-12-25729PENSACOLA BLACK BEARS-LAS CRUCES MESCALEROS-
112 - 2020-12-28748LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
113 - 2020-12-29752PINCHER CREEK WOLVERINES-LAS CRUCES MESCALEROS-
114 - 2020-12-30758LAS CRUCES MESCALEROS-BANGOR PUPPIES-
Trade Deadline --- Trades can’t be done after this day is simulated!
116 - 2021-01-01776SYRACUSE BABY BULLS-LAS CRUCES MESCALEROS-
117 - 2021-01-02784LAS CRUCES MESCALEROS-SAN JOSE AVACADOES-
119 - 2021-01-04797NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-
120 - 2021-01-05806LAS CRUCES MESCALEROS-HAWAII PUNCH-
122 - 2021-01-07817COLORADO CUBS-LAS CRUCES MESCALEROS-
123 - 2021-01-08823LAS CRUCES MESCALEROS-BANGOR PUPPIES-
125 - 2021-01-10837BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
127 - 2021-01-12850LAS CRUCES MESCALEROS-CAPE FEAR WILDCATS-
129 - 2021-01-14860MANHATTAN SWEDES-LAS CRUCES MESCALEROS-
130 - 2021-01-15867LAS CRUCES MESCALEROS-DETROIT STEELERS-
132 - 2021-01-17884COQUITLAM EXPRESS-LAS CRUCES MESCALEROS-
133 - 2021-01-18885LAS CRUCES MESCALEROS-COLORADO CUBS-
134 - 2021-01-19895LAS CRUCES MESCALEROS-NEWTON NIGHTHAWKS-
137 - 2021-01-22912PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
138 - 2021-01-23924LAS CRUCES MESCALEROS-NORTH VAN ROCKERS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity30002000
Ticket Price3716
Attendance33,07427,329
Attendance PCT78.75%97.60%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
28 4315 - 86.29% 118,643$1,661,002$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,008,274$ 2,063,100$ 132,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,063,100$ 652,171$ 33 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,322,004$ 94 22,756$ 2,139,064$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
884333703722249277-2842181801311126131-542151902411123146-23662494066550067908772234677780751422402863141513852557127.84%3457977.10%6835154853.94%845171149.39%627121051.82%171291617847851576803
92714120001086824149500000463791357000104045-530861412270025332738512753142597783283488509841720.24%942177.66%129560348.92%28558049.14%19340248.01%559312585244479238
Total Regular Season111474903732335359-2456272301311172168455202602421163191-28963355478820092123114103085952109410104931851146190318943398825.96%43910077.22%71130215152.53%1130229149.32%820161250.87%227212282370103020561041