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LAS CRUCES MESCALEROS
GP: 29 | W: 10 | L: 17 | OTL: 2 | P: 22
GF: 97 | GA: 112 | PP%: 27.78% | PK%: 77.97%
GM : Peter S | Morale : 36 | Team Overall : 64
Next Games #326 vs NEWTON NIGHTHAWKS
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Game Center
LAS CRUCES MESCALEROS
10-17-2, 22pts
2
FINAL
3 HAWAII PUNCH
19-8-1, 39pts
Team Stats
L2StreakW1
5-8-1Home Record12-2-0
5-9-1Home Record7-6-1
4-6-0Last 10 Games6-4-0
3.34Goals Per Game3.57
3.86Goals Against Per Game3.11
27.78%Power Play Percentage16.18%
77.97%Penalty Kill Percentage78.21%
PENSACOLA BLACK BEARS
17-9-3, 37pts
2
FINAL
1 LAS CRUCES MESCALEROS
10-17-2, 22pts
Team Stats
W1StreakL2
8-4-2Home Record5-8-1
9-5-1Home Record5-9-1
6-3-1Last 10 Games4-6-0
3.72Goals Per Game3.34
3.62Goals Against Per Game3.86
23.86%Power Play Percentage27.78%
62.00%Penalty Kill Percentage77.97%
NEWTON NIGHTHAWKS
18-5-5, 41pts
Day 53
LAS CRUCES MESCALEROS
10-17-2, 22pts
Team Stats
L1StreakL2
10-2-2Home Record5-8-1
8-3-3Away Record5-9-1
3-4-3Last 10 Games4-6-0
3.54Goals Per Game3.34
2.71Goals Against Per Game3.34
22.73%Power Play Percentage27.78%
82.50%Penalty Kill Percentage77.97%
LAS CRUCES MESCALEROS
10-17-2, 22pts
Day 55
MANHATTAN SWEDES
15-10-4, 34pts
Team Stats
L2StreakW2
5-8-1Home Record8-5-1
5-9-1Away Record7-5-3
4-6-0Last 10 Games6-3-1
3.34Goals Per Game3.21
3.86Goals Against Per Game3.21
27.78%Power Play Percentage30.88%
77.97%Penalty Kill Percentage70.67%
SYRACUSE BABY BULLS
18-6-4, 40pts
Day 57
LAS CRUCES MESCALEROS
10-17-2, 22pts
Team Stats
W3StreakL2
11-2-1Home Record5-8-1
7-4-3Away Record5-9-1
6-3-1Last 10 Games4-6-0
3.36Goals Per Game3.34
2.79Goals Against Per Game3.34
27.94%Power Play Percentage27.78%
78.57%Penalty Kill Percentage77.97%
Team Leaders
Goals
Oliver Wahlstrom
19
Assists
Victor Mete
27
Points
Victor Mete
35
Plus/Minus
Dave Bolland
11
Wins
Stuart Skinner
4
Save Percentage
Zachary Fucale
0.912

Team Stats
Goals For
97
3.34 GFG
Shots For
913
31.48 Avg
Power Play Percentage
27.8%
20 GF
Offensive Zone Start
39.0%
Goals Against
112
3.86 GAA
Shots Against
929
32.03 Avg
Penalty Kill Percentage
78.0%%
13 GA
Defensive Zone Start
32.7%
Team Info

General ManagerPeter S
CoachJeremy Roenick
DivisionAdams
ConferenceNeid Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity6,000
Attendance5,771
Season Tickets600


Roster Info

Pro Team33
Farm Team20
Contract Limit53 / 66
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.
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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
# 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
1Oliver Wahlstrom (R)X100.00742064908993887855817964608667044752234750,000$
2Zac DalpeX100.00235996077587885517984666199990397103411,099,000$
3Brad MaloneXX100.005038936574717780507978676199990407123411,076,000$
4Quinton Byfield (R)X100.00742283808986857465776260607280047701211775,000$
5Daniel SprongXX100.0015199838082846841787861658783043702262650,000$
6Nils Höglander (R)XX100.0025384828387837059686560587977043682225650,000$
7Pavel Dorofeyev (R)X100.0019199888886896949606456548671043672235600,000$
8Michael GrabnerXX100.0011996972858271435647957499970376603611,000,111$
9Alexey Toropchenko (R)XXX100.0053674838589836748575860598770043662242605,000$
10Dave BollandX100.0015499677374855782525291669999043650371844,000$
11Filip Mešár (R)XXX100.0023779697368696265636059655877043611193900,000$
12Ilya Fedotov (R)X100.00341288797365656059605655686670043602202700,000$
13Jani Nyman (R)X100.00182778707467645955635959666260031592193800,000$
14Cal Foote (R)X100.00937747898473878040816470449179040751243750,000$
15Victor MeteX100.0029199898088858332747060448870043712253850,000$
16Alexander Romanov (R)X100.0087199878689785833585069448966043712234650,000$
17Sean Durzi (R)X100.00194676767778746244614968497475040632252650,000$
18Chad KrysX100.00945941637958654943473863455963040602251500,000$
19Mattias Norlinder (R)X100.0045189747755675344524662487468042602223550,000$
Scratches
1Artyom Galimov (R)XX77.0135888677071696765666065687069024622243500,000$
2Adam Sýkora (R)XXX100.00271487656870705957635859546765021592193700,000$
3Linus LindströmX100.00391595737257605657575456587472021582251650,000$
4Kasper Simontaival (R)XXX100.0013595677063685949605950456461021572211550,000$
5Sam Stange (R)X100.0011577697360665759595858515455027572211600,000$
6Cameron Hillis (R)X100.00291783677362615866585654556760021572243635,000$
7Bill ArnoldXXX100.00232278567541482738262842436068021412311500,000$
8Michael Fischer (R)X100.00604868656869734844595764455358023602193600,000$
9Luke GreenX100.00662276637852605030504959446564021582252632,500$
TEAM AVERAGE99.1839178373777174635162596356767303564
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
1Ilya Sorokin100.0073676677728279817063588474045732282925,000$
2Zachary Fucale95.0067767878747173727066669189044721282898,000$
Scratches
1Jesper Wallstedt (R)100.0063646583706964717260607069034671212800,000$
2Stuart Skinner (R)100.0068747379676667697167526663041672252575,000$
3Dylan Garand (R)100.0059595683625959605758556260045612212500,000$
TEAM AVERAGE99.006668688069696871686358757104268
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeremy Roenick72908784778753USA5221,595,000$


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
1Victor MeteLAS CRUCES MESCALEROS (SPU)D298273550031388546379.41%3669824.07311141773011160010%02421101.0000000321
2Oliver WahlstromLAS CRUCES MESCALEROS (SPU)RW29191433-153356937125437815.20%1660220.7772915641014372044.12%343215001.1000001122
3Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW/RW2914721220351866274521.21%1046215.933258390002231155.00%20135000.9100000112
4Quinton ByfieldLAS CRUCES MESCALEROS (SPU)C2991120-201210603974165712.16%1056819.612357660000241047.27%66096000.7000101020
5Daniel SprongLAS CRUCES MESCALEROS (SPU)LW/RW2981018-130016349335338.60%1552318.06033765000040046.15%391710000.6900000110
6Dave BollandLAS CRUCES MESCALEROS (SPU)C2921618110023512814107.14%1246916.181342480111520065.15%33035000.7700000002
7Brad MaloneLAS CRUCES MESCALEROS (SPU)C/LW299817-755253578275711.54%1441014.1700000000031043.86%383118110.8300010011
8Ilya FedotovLAS CRUCES MESCALEROS (SPU)LW2961016-520362541102414.63%841814.43235348000001060.00%1585000.7600000003
9Pavel DorofeyevLAS CRUCES MESCALEROS (SPU)LW2931114-1006225021396.00%1440413.9500000000001036.00%25155000.6900000101
10Cal FooteLAS CRUCES MESCALEROS (SPU)D293912-283115114335928345.08%2861421.20123341000018000%02622000.3900120000
11Filip MešárLAS CRUCES MESCALEROS (SPU)C/LW/RW294711-512061628122014.29%1440714.05000000000250068.75%1658000.5400000001
12Sean DurziLAS CRUCES MESCALEROS (SPU)D292810-51552243329126.25%4465122.4505547300001000%0520000.3100010000
13Mattias NorlinderLAS CRUCES MESCALEROS (SPU)D25099620234117690%3649419.76000017000042000%0314000.3600000000
14Alexey ToropchenkoLAS CRUCES MESCALEROS (SPU)C/LW/RW29369-40055114313226.98%42729.4000000000002035.51%107134000.6600000110
15Chad KrysLAS CRUCES MESCALEROS (SPU)D29055-5415793015490%2045915.8600000000025000%0017000.2200010001
16Jani NymanLAS CRUCES MESCALEROS (SPU)RW74152001270157.14%0659.37000000000010100.00%101001.5300000010
17Michael GrabnerLAS CRUCES MESCALEROS (SPU)LW/RW17224-200051981010.53%618110.70000000000150025.00%452000.4400000000
18Zac DalpeLAS CRUCES MESCALEROS (SPU)RW23134-30009319143.23%21375.98112113000030040.00%521000.5800000000
19Alexander RomanovLAS CRUCES MESCALEROS (SPU)D29011-160046361716100%3054518.81000125000138000%0617000.0400000000
20Michael Fischer LAS CRUCES MESCALEROS (SPU)D4000-100010000%0164.110000000003000%01000000000000
21Sam Stange LAS CRUCES MESCALEROS (SPU)RW12000-340160240%11139.440000000000000%10200000000000
22Artyom GalimovLAS CRUCES MESCALEROS (SPU)C/LW10000-400555390%2929.240000000000000%10300000000000
Team Total or Average53397165262-1111594565353791334953410.62%322861016.1620355568579123938110249.36%1641198191210.610025281114
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
1Zachary FucaleLAS CRUCES MESCALEROS (SPU)84300.9122.784310020226121000074000
2Stuart Skinner LAS CRUCES MESCALEROS (SPU)104310.8724.1850320352741540000103110
3Ilya SorokinLAS CRUCES MESCALEROS (SPU)41300.8733.98226001511855020047000
4Dylan Garand LAS CRUCES MESCALEROS (SPU)51400.8734.00300202015785000054000
5Jesper WallstedtLAS CRUCES MESCALEROS (SPU)60410.8803.912760018150881200311000
Team Total or Average33101720.8833.731738401089255031402929110


Filter Tips
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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 Waiver Possible 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
Adam SýkoraLAS CRUCES MESCALEROS (SPU)C/LW/RW199/7/2004 9:41:17 AMYes179 Lbs5 ft10NoNoNoNo3Pro & Farm700,000$472,611$40,000$27,006$70,000$47,261$No700,000$700,000$
Alexander RomanovLAS CRUCES MESCALEROS (SPU)D231/6/2000 7:06:47 AMYes200 Lbs6 ft0NoNoNoNo4Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$650,000$650,000$
Alexey ToropchenkoLAS CRUCES MESCALEROS (SPU)C/LW/RW246/25/1999 9:31:00 AMYes188 Lbs6 ft3NoNoNoNo2Pro & Farm605,000$408,471$40,000$27,006$60,500$40,847$No605,000$
Artyom GalimovLAS CRUCES MESCALEROS (SPU)C/LW249/8/1999 4:02:57 AMYes176 Lbs5 ft11NoNoNoNo3Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No500,000$500,000$
Bill ArnoldLAS CRUCES MESCALEROS (SPU)C/LW/RW315/13/1992 3:31:10 AMNo231 Lbs6 ft0NoNoNoYes1Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No
Brad MaloneLAS CRUCES MESCALEROS (SPU)C/LW348/11/1989 9:47:42 AMNo200 Lbs6 ft0NoNoNoYes1Pro & Farm1,076,000$726,471$40,000$27,006$107,600$72,647$No
Cal FooteLAS CRUCES MESCALEROS (SPU)D2412/13/1998 5:20:30 AMYes230 Lbs6 ft7NoNoNoNo3Pro & Farm750,000$506,369$40,000$27,006$75,000$50,637$No750,000$750,000$
Cameron HillisLAS CRUCES MESCALEROS (SPU)C246/1/1999 4:11:35 AMYes192 Lbs6 ft1NoNoNoNo3Pro & Farm635,000$428,726$40,000$27,006$63,500$42,873$No635,000$635,000$
Chad KrysLAS CRUCES MESCALEROS (SPU)D254/10/1998 9:56:41 AMNo216 Lbs6 ft3NoNoNoYes1Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No
Daniel SprongLAS CRUCES MESCALEROS (SPU)LW/RW263/17/1997 4:44:17 AMNo203 Lbs6 ft2NoNoNoYes2Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$
Dave BollandLAS CRUCES MESCALEROS (SPU)C376/5/1986No192 Lbs6 ft0NoNoNoYes1Pro & Farm844,000$569,834$40,000$27,006$84,400$56,983$No
Dylan Garand LAS CRUCES MESCALEROS (SPU)G216/1/2002 9:20:08 AMYes226 Lbs6 ft4NoNoNoNo2Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No500,000$
Filip MešárLAS CRUCES MESCALEROS (SPU)C/LW/RW191/3/2004 6:21:33 AMYes174 Lbs5 ft10NoNoNoNo3Pro & Farm900,000$607,643$40,000$27,006$90,000$60,764$No900,000$900,000$
Ilya FedotovLAS CRUCES MESCALEROS (SPU)LW203/19/2003 6:05:50 AMYes182 Lbs6 ft3NoNoNoNo2Pro & Farm700,000$472,611$40,000$27,006$70,000$47,261$No700,000$
Ilya SorokinLAS CRUCES MESCALEROS (SPU)G288/4/1995 6:03:00 AMNo187 Lbs6 ft5NoNoNoYes2Pro & Farm925,000$624,522$40,000$27,006$92,500$62,452$No925,000$
Jani NymanLAS CRUCES MESCALEROS (SPU)RW196/1/2004 8:44:23 AMYes180 Lbs6 ft0NoNoNoNo3Pro & Farm800,000$540,127$40,000$27,006$80,000$54,013$No800,000$800,000$
Jesper WallstedtLAS CRUCES MESCALEROS (SPU)G2111/14/2002 8:08:01 AMYes219 Lbs6 ft5NoNoNoNo2Pro & Farm800,000$540,127$40,000$27,006$80,000$54,013$No800,000$
Kasper SimontaivalLAS CRUCES MESCALEROS (SPU)C/LW/RW211/11/2002 7:44:00 AMYes181 Lbs5 ft9NoNoNoNo1Pro & Farm550,000$371,338$40,000$27,006$55,000$37,134$No
Linus LindströmLAS CRUCES MESCALEROS (SPU)C251/8/1998 4:35:33 AMNo181 Lbs6 ft1NoNoNoYes1Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No
Luke GreenLAS CRUCES MESCALEROS (SPU)D256/1/1998 3:04:47 AMNo212 Lbs6 ft3NoNoNoYes2Pro & Farm632,500$427,038$40,000$27,006$63,250$42,704$No632,500$
Mattias NorlinderLAS CRUCES MESCALEROS (SPU)D226/1/2001 7:58:14 AMYes213 Lbs6 ft1NoNoNoNo3Pro & Farm550,000$371,338$40,000$27,006$55,000$37,134$No550,000$550,000$
Michael Fischer LAS CRUCES MESCALEROS (SPU)D196/1/2004 3:32:11 AMYes200 Lbs6 ft2NoNoNoNo3Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No600,000$600,000$
Michael GrabnerLAS CRUCES MESCALEROS (SPU)LW/RW3610/5/1987No183 Lbs6 ft0NoNoNoYes1Pro & Farm1,000,111$675,234$40,000$27,006$100,011$67,523$No
Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW/RW2212/20/2000 6:01:05 AMYes192 Lbs5 ft10NoNoNoNo5Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$650,000$650,000$650,000$
Oliver WahlstromLAS CRUCES MESCALEROS (SPU)RW236/13/2000 5:06:58 AMYes216 Lbs6 ft3NoNoNoNo4Pro & Farm750,000$506,369$40,000$27,006$75,000$50,637$No750,000$750,000$750,000$
Pavel DorofeyevLAS CRUCES MESCALEROS (SPU)LW2310/26/2000 8:37:49 AMYes170 Lbs6 ft2NoNoNoNo5Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No600,000$600,000$600,000$600,000$
Quinton ByfieldLAS CRUCES MESCALEROS (SPU)C218/19/2002 7:11:09 AMYes224 Lbs6 ft6NoNoNoNo1Pro & Farm775,000$523,248$40,000$27,006$77,500$52,325$No
Sam Stange LAS CRUCES MESCALEROS (SPU)RW216/1/2002 9:09:39 AMYes189 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No
Sean DurziLAS CRUCES MESCALEROS (SPU)D2510/21/1998 7:31:33 AMYes195 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$
Stuart Skinner LAS CRUCES MESCALEROS (SPU)G2511/1/1998 8:15:11 AMYes209 Lbs6 ft2NoNoNoNo2Pro & Farm575,000$388,217$40,000$27,006$57,500$38,822$No575,000$
Victor MeteLAS CRUCES MESCALEROS (SPU)D256/7/1998 1:29:14 AMNo195 Lbs6 ft0NoNoNoYes3Pro & Farm850,000$573,885$40,000$27,006$85,000$57,389$No850,000$850,000$
Zac DalpeLAS CRUCES MESCALEROS (SPU)RW3411/1/1989No214 Lbs6 ft1NoNoNoYes1Pro & Farm1,099,000$742,000$40,000$27,006$109,900$74,200$NoNHL Link
Zachary FucaleLAS CRUCES MESCALEROS (SPU)G285/28/1995 2:40:50 AMNo198 Lbs6 ft3NoNoNoYes2Pro & Farm898,000$606,293$40,000$27,006$89,800$60,629$No898,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3324.67198 Lbs6 ft12.27711,049$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel SprongBrad MaloneOliver Wahlstrom35023
2Pavel DorofeyevQuinton ByfieldNils Höglander25113
3Ilya FedotovDave BollandFilip Mešár25122
4Michael GrabnerAlexey ToropchenkoJani Nyman15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteMattias Norlinder35023
2Cal FooteSean Durzi31023
3Alexander RomanovChad Krys27131
4Victor MeteSean Durzi7014
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel SprongQuinton ByfieldOliver Wahlstrom60005
2Ilya FedotovDave BollandNils Höglander40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteSean Durzi60014
2Alexander RomanovCal Foote40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dave BollandMichael Grabner60041
2Brad MaloneZac Dalpe40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteCal Foote60041
2Chad KrysAlexander Romanov40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dave Bolland60050Cal FooteChad Krys60050
2Quinton Byfield40122Victor MeteAlexander Romanov40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Quinton ByfieldNils Höglander60014
2Dave BollandOliver Wahlstrom40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor MeteSean Durzi60005
2Cal FooteAlexander Romanov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nils HöglanderQuinton ByfieldDaniel SprongVictor MeteCal Foote
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brad MaloneDave BollandOliver WahlstromAlexander RomanovCal Foote
Extra Forwards
Normal PowerPlayPenalty Kill
Nils Höglander, Oliver Wahlstrom, Zac DalpeNils Höglander, Quinton ByfieldNils Höglander
Extra Defensemen
Normal PowerPlayPenalty Kill
Cal Foote, Victor Mete, Chad KrysAlexander RomanovVictor Mete, Cal Foote
Penalty Shots
Quinton Byfield, Daniel Sprong, Nils Höglander, Oliver Wahlstrom, Dave Bolland
Goalie
#1 : Zachary Fucale, #2 : Ilya Sorokin
Custom OT Lines Forwards
Quinton Byfield, Oliver Wahlstrom, Pavel Dorofeyev, Nils Höglander, Ilya Fedotov, Jani Nyman, Jani Nyman, Alexey Toropchenko, Filip Mešár, Dave Bolland, Brad Malone
Custom OT Lines Defensemen
Victor Mete, Cal Foote, Alexander Romanov, Chad Krys, Sean Durzi


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 PUPPIES1010000056-11010000056-10000000000000.0005712001841362342723233153341612184250.00%6266.67%133163751.96%25653348.03%22346248.27%629374619250493242
2BROOKLYN GRINDERS20200000912-31010000045-11010000057-200.00091726001841362662723233153641913508112.50%4175.00%033163751.96%25653348.03%22346248.27%629374619250493242
3CALGARY WRANGLERS1010000025-3000000000001010000025-300.0002240018413622227232331533011426100.00%2150.00%033163751.96%25653348.03%22346248.27%629374619250493242
4CAPE BRETON LEPRECHAUNS1010000045-1000000000001010000045-100.0004590018413623227232331533298152150.00%40100.00%033163751.96%25653348.03%22346248.27%629374619250493242
5CAPE FEAR WILDCATS11000000615000000000001100000061521.000610160018413624027232331532470233133.33%000%033163751.96%25653348.03%22346248.27%629374619250493242
6CHICAGO UNDERTAKERS22000000743110000005321100000021141.0007142100184136261272323315366144343133.33%20100.00%033163751.96%25653348.03%22346248.27%629374619250493242
7COQUITLAM EXPRESS44000000191092200000084422000000116581.000193453001841362138272323315312745209710550.00%10280.00%033163751.96%25653348.03%22346248.27%629374619250493242
8DETROIT STEELERS20200000610-420200000610-40000000000000.0006111720184136263272323315368208477228.57%4175.00%033163751.96%25653348.03%22346248.27%629374619250493242
9HAWAII PUNCH1010000023-1000000000001010000023-100.0002240018413622627232331533118422300.00%20100.00%033163751.96%25653348.03%22346248.27%629374619250493242
10MANHATTAN SWEDES31101000131122010100078-11100000063340.6671322350018413629727232331531042386610440.00%4250.00%033163751.96%25653348.03%22346248.27%629374619250493242
11NEWTON NIGHTHAWKS40400000616-101010000016-530300000510-500.00061016001841362124272323315311651880800.00%4250.00%033163751.96%25653348.03%22346248.27%629374619250493242
12NORTH VAN ROCKERS10001000321100010003210000000000021.000358001841362342723233153341791811100.00%20100.00%033163751.96%25653348.03%22346248.27%629374619250493242
13PENSACOLA BLACK BEARS2010010079-22010010079-20000000000010.25071219001841362682723233153723115515120.00%50100.00%033163751.96%25653348.03%22346248.27%629374619250493242
14PHILADELPHIA PHANTOMS20200000310-71010000024-21010000016-500.000369101841362582723233153622534544125.00%2150.00%033163751.96%25653348.03%22346248.27%629374619250493242
15SYRACUSE BABY BULLS2010010058-3000000000002010010058-310.250581310184136250272323315365161652300.00%8187.50%033163751.96%25653348.03%22346248.27%629374619250493242
Total298170220097112-151438021004857-91559001004955-6220.379971652624018413629132723233153929322163653722027.78%591377.97%133163751.96%25653348.03%22346248.27%629374619250493242
_Since Last GM Reset298170220097112-151438021004857-91559001004955-6220.379971652624018413629132723233153929322163653722027.78%591377.97%133163751.96%25653348.03%22346248.27%629374619250493242
_Vs Conference19611011005870-121136011003744-7835000002126-5150.395581011593018413626062723233153610237114421451328.89%37878.38%133163751.96%25653348.03%22346248.27%629374619250493242
_Vs Division926001002839-11715001002532-72110000037-450.27828507830184136228427232331533021067320423730.43%19478.95%133163751.96%25653348.03%22346248.27%629374619250493242

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2922L29716526291392932216365340
All Games
GPWLOTWOTL SOWSOLGFGA
29817220097112
Home Games
GPWLOTWOTL SOWSOLGFGA
143821004857
Visitor Games
GPWLOTWOTL SOWSOLGFGA
155901004955
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
722027.78%591377.97%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27232331531841362
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33163751.96%25653348.03%22346248.27%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
629374619250493242


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
12PHILADELPHIA PHANTOMS4LAS CRUCES MESCALEROS2BLBoxScore
314LAS CRUCES MESCALEROS4CAPE BRETON LEPRECHAUNS5ALBoxScore
528DETROIT STEELERS4LAS CRUCES MESCALEROS2BLBoxScore
845PENSACOLA BLACK BEARS7LAS CRUCES MESCALEROS6BLXBoxScore
950LAS CRUCES MESCALEROS5BROOKLYN GRINDERS7ALBoxScore
1166LAS CRUCES MESCALEROS2CHICAGO UNDERTAKERS1AWBoxScore
1377BROOKLYN GRINDERS5LAS CRUCES MESCALEROS4BLBoxScore
1489LAS CRUCES MESCALEROS5COQUITLAM EXPRESS4AWBoxScore
1595NORTH VAN ROCKERS2LAS CRUCES MESCALEROS3BWXBoxScore
18112BANGOR PUPPIES6LAS CRUCES MESCALEROS5BLBoxScore
20124LAS CRUCES MESCALEROS2CALGARY WRANGLERS5ALBoxScore
21127LAS CRUCES MESCALEROS2NEWTON NIGHTHAWKS3ALBoxScore
23139MANHATTAN SWEDES3LAS CRUCES MESCALEROS4BWXBoxScore
25151LAS CRUCES MESCALEROS2NEWTON NIGHTHAWKS3ALBoxScore
27162COQUITLAM EXPRESS2LAS CRUCES MESCALEROS4BWBoxScore
28173LAS CRUCES MESCALEROS3SYRACUSE BABY BULLS4ALXBoxScore
30183NEWTON NIGHTHAWKS6LAS CRUCES MESCALEROS1BLBoxScore
32194LAS CRUCES MESCALEROS1NEWTON NIGHTHAWKS4ALBoxScore
34204COQUITLAM EXPRESS2LAS CRUCES MESCALEROS4BWBoxScore
36217LAS CRUCES MESCALEROS1PHILADELPHIA PHANTOMS6ALBoxScore
38229LAS CRUCES MESCALEROS2SYRACUSE BABY BULLS4ALBoxScore
39236DETROIT STEELERS6LAS CRUCES MESCALEROS4BLBoxScore
42250LAS CRUCES MESCALEROS6MANHATTAN SWEDES3AWBoxScore
43259MANHATTAN SWEDES5LAS CRUCES MESCALEROS3BLBoxScore
45273LAS CRUCES MESCALEROS6CAPE FEAR WILDCATS1AWBoxScore
46280CHICAGO UNDERTAKERS3LAS CRUCES MESCALEROS5BWBoxScore
48294LAS CRUCES MESCALEROS6COQUITLAM EXPRESS2AWBoxScore
50303LAS CRUCES MESCALEROS2HAWAII PUNCH3ALBoxScore
51309PENSACOLA BLACK BEARS2LAS CRUCES MESCALEROS1BLBoxScore
53326NEWTON NIGHTHAWKS-LAS CRUCES MESCALEROS-
55338LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
57349SYRACUSE BABY BULLS-LAS CRUCES MESCALEROS-
59360HAWAII PUNCH-LAS CRUCES MESCALEROS-
62372LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
64381LAS CRUCES MESCALEROS-HAWAII PUNCH-
65390DETROIT STEELERS-LAS CRUCES MESCALEROS-
68405NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-
70416LAS CRUCES MESCALEROS-SAN JOSE AVACADOES-
71427EDMONTON OILERS-LAS CRUCES MESCALEROS-
74438LAS CRUCES MESCALEROS-HALIFAX HELL-
75448LAS CRUCES MESCALEROS-NORTH VAN ROCKERS-
77458HAWAII PUNCH-LAS CRUCES MESCALEROS-
79471PINCHER CREEK WOLVERINES-LAS CRUCES MESCALEROS-
81482LAS CRUCES MESCALEROS-CAPE BRETON LEPRECHAUNS-
82490CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
84507COLORADO CUBS-LAS CRUCES MESCALEROS-
86516LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
88526LAS CRUCES MESCALEROS-CAPE BRETON LEPRECHAUNS-
90536CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
92551PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
94561LAS CRUCES MESCALEROS-DETROIT STEELERS-
96574COLORADO CUBS-LAS CRUCES MESCALEROS-
98584LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
100592LAS CRUCES MESCALEROS-COLORADO CUBS-
102602CAPE BRETON LEPRECHAUNS-LAS CRUCES MESCALEROS-
103616BANGOR PUPPIES-LAS CRUCES MESCALEROS-
105631LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
106636LAS CRUCES MESCALEROS-PHILADELPHIA PHANTOMS-
108646BANGOR PUPPIES-LAS CRUCES MESCALEROS-
111661LAS CRUCES MESCALEROS-BANGOR PUPPIES-
112669SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
113682LAS CRUCES MESCALEROS-DETROIT STEELERS-
115690SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
117705HALIFAX HELL-LAS CRUCES MESCALEROS-
119714LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
120723LAS CRUCES MESCALEROS-BANGOR PUPPIES-
122735PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
124750HALIFAX HELL-LAS CRUCES MESCALEROS-
Trade Deadline --- Trades can’t be done after this day is simulated!
126757LAS CRUCES MESCALEROS-NORTH VAN ROCKERS-
127770PENSACOLA BLACK BEARS-LAS CRUCES MESCALEROS-
128773LAS CRUCES MESCALEROS-CALGARY WRANGLERS-
132797CHICAGO UNDERTAKERS-LAS CRUCES MESCALEROS-
133800LAS CRUCES MESCALEROS-PENSACOLA BLACK BEARS-
135815BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
136821LAS CRUCES MESCALEROS-EDMONTON OILERS-
138837CALGARY WRANGLERS-LAS CRUCES MESCALEROS-
139841LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
142861CALGARY WRANGLERS-LAS CRUCES MESCALEROS-
144866LAS CRUCES MESCALEROS-PENSACOLA BLACK BEARS-
148885VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
149891LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
151903VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
155917LAS CRUCES MESCALEROS-EDMONTON OILERS-
156923LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35002500
Ticket Price3716
Attendance46,43134,363
Attendance PCT94.76%98.18%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
28 5771 - 96.18% 161,983$2,267,755$6000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,286,343$ 2,346,461$ 132,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,346,461$ 768,234$ 33 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,535,510$ 106 25,105$ 2,661,130$




LAS CRUCES MESCALEROS Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

LAS CRUCES MESCALEROS Goalies Stat Leaders (Regular Season)

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

LAS CRUCES MESCALEROS 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

LAS CRUCES MESCALEROS Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

LAS CRUCES MESCALEROS Goalies Stat Leaders (Play-Off)

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