LAS CRUCES MESCALEROS

GP: 19 | W: 5 | L: 12 | OTL: 2 | P: 12
GF: 44 | GA: 70 | PP%: 23.91% | PK%: 78.02%
GM : Peter S | Morale : 34 | Team Overall : 63
Next Games #212 vs EDMONTON OILERS
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Mark Jankowski (R)X99.0017799878585909072888467548268038762
2Tyler KennedyX100.0067537567728389875879837270999003275X0
3Curtis Lazar (R)XX100.00806354788491838555777567546778047731
4Anton RodinX100.00888824657385757941748169567881040702
5Devante Smith-PellyX100.00604963677584798244777451507878042682
6David DesharnaisX100.00524683647080767264596452659588037640
7Daniel WinnikXX100.00373099618096855246465871618486039622
8Ben EagerXX100.00807537558472745648535568599999042620
9Milan LucicX100.00999928578281854951484261729599040600
10Noah Hanifin (R)X100.0044998908997979035866957558078039751
11Thomas Chabot (R)X100.00746259807680825739695668457165037681
12Dalton Thrower (R)X100.00838134598481797639696359417974040672
13Niklas HjalmarssonX100.00282199647873824850483978599290031640
14Corey PotterX100.00584891617971715750505067569695027640
15Tom GilbertX100.00271599647878956550616064619476028640
16Cal Foote (R)X100.00716064747762696240645565446263039641
17Michael SauerX100.00451099617975774950453681568684039640
18Luke Green (R)X100.00783464666964606030605957445756036602
19Andrei Mironov (R)X100.00594687647658715144453066447559039592
Scratches
1Drew StaffordX100.00574385588087838342638480819894024720
2Ryan DonallyXX69.31718448667276766250625271689793030642
3Linus Lindström (R)X100.00522882697056605657576056586260029582
4Martin Reway (R)X100.00413082717261674941545153596568039562
5Kyle PalmieriXXX100.00292499607660653855363763548380031520
6Connor Crisp (R)X100.00341991687645574239484655556263031522
7Bill ArnoldXXX100.00232278558041482738262842437173031422
8Sean Durzi (R)X100.00255260585766645544594468495860028562
9Jack Dougherty (R)X100.00503072677651653740353065546262031552
TEAM AVERAGE98.8755447366777375614759566456807703563
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 SP
1Phil Grubauer99.0067656577707370817267558167036702
2Zachary Fucale (R)100.0067686977706567666466667873027671
Scratches
1Ilya Sorokin (R)100.0075565676696562666363586765044642
2Wouter Peeters (R)100.0063605874655963585962576359032612
TEAM AVERAGE99.756862627669666668656559726603566
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ken Hitchcock88849188999957CAN6321,100,000$


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
1Mark JankowskiLAS CRUCES MESCALEROS (SPU)C19101020-500103761243516.39%1445824.1322410371233730051.70%530187000.8701000121
2Curtis LazarLAS CRUCES MESCALEROS (SPU)C/RW191071712820332772173813.89%1340621.371236372025380039.39%33126000.8411202311
3Noah HanifinLAS CRUCES MESCALEROS (SPU)D1931215-60011295425255.56%2754228.56347641033283000.00%02627000.5500000010
4Anton RodinLAS CRUCES MESCALEROS (SPU)RW194711-3431544264210189.52%933417.612243280113341075.00%846000.6601111200
5Tyler KennedyLAS CRUCES MESCALEROS (SPU)C156511-4195172954192911.11%733222.193143191124591052.05%146911000.6601100101
6Devante Smith-PellyLAS CRUCES MESCALEROS (SPU)RW19246-1127520255421353.70%325413.4200002000001037.50%8136000.4701100000
7Thomas ChabotLAS CRUCES MESCALEROS (SPU)D19055-23010292214680.00%2644323.32022440000059000.00%0313000.2300011000
8Ryan DonallyLAS CRUCES MESCALEROS (SPU)C/LW18145352103318174125.88%1032217.91011131000001050.00%3027000.3100110000
9Linus LindströmLAS CRUCES MESCALEROS (SPU)C10314-5005111561120.00%512812.8400000000010149.30%7111000.6200000010
10Cal FooteLAS CRUCES MESCALEROS (SPU)D19033-9201012136340.00%2028815.20000011000011000.00%019000.2100110000
11Michael SauerLAS CRUCES MESCALEROS (SPU)D19123-30023424050.00%2430616.12000015000052000.00%008000.2000000000
12David DesharnaisLAS CRUCES MESCALEROS (SPU)C9123-8001015223154.55%414516.1400011000060044.93%6953000.4100000000
13Daniel WinnikLAS CRUCES MESCALEROS (SPU)C/LW19213-80011281431014.29%432917.340110280000231023.08%1318000.1800000000
14Auston MatthewsLAS CRUCES SPURSC41230003611669.09%39924.780000120000150045.12%8221000.6100000000
15Dalton ThrowerLAS CRUCES MESCALEROS (SPU)D19022-763352525146130.00%1436119.03011025000051000.00%016000.1100124000
16Luke GreenLAS CRUCES MESCALEROS (SPU)D19011-2408173130.00%822711.9700000000016000.00%112000.0900000000
17Ben EagerLAS CRUCES MESCALEROS (SPU)LW/RW19011-63552820213150.00%725813.61000030000260058.33%1204000.0800100000
18Niklas HjalmarssonLAS CRUCES MESCALEROS (SPU)D1000-200001010.00%11010.800000000000000.00%000000.0000000000
19Corey PotterLAS CRUCES MESCALEROS (SPU)D1000000010010.00%01919.280000200003000.00%000000.0000000000
20Tom GilbertLAS CRUCES MESCALEROS (SPU)D1000000011000.00%044.800000000000000.00%000000.0000000000
21Andrei MironovLAS CRUCES MESCALEROS (SPU)D19000-100151110.00%2934.900000000004000.00%001000.0000000000
22Milan LucicLAS CRUCES MESCALEROS (SPU)LW19000-51951191210.00%51467.7400000000030060.00%503000.0000001000
23Martin RewayLAS CRUCES MESCALEROS (SPU)LW18000000330000.00%0532.9700003000000030.00%1000000.0000000000
Team Total or Average3434469113-833401203164014801642819.17%206556816.23111627343444711175675149.71%101899129000.4115969753
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
1Phil GrubauerLAS CRUCES MESCALEROS (SPU)93410.8993.064702024238116100.000081011
2Ilya SorokinLAS CRUCES MESCALEROS (SPU)61300.8713.90277001813975000.0000411000
3Wouter PeetersLAS CRUCES MESCALEROS (SPU)21100.8095.191040094726100.000024000
4Zachary FucaleLAS CRUCES MESCALEROS (SPU)30200.8443.231300074520000.000023000
5Steve MasonLAS CRUCES SPURS30210.8664.0716200118239000.600530000
Team Total or Average2351220.8753.6211452069551276200.60051919011


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary 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
Andrei MironovLAS CRUCES MESCALEROS (SPU)D257/29/1994 7:34:54 AMYes204 Lbs6 ft2NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Anton RodinLAS CRUCES MESCALEROS (SPU)RW298/12/1990 7:02:52 AMNo194 Lbs6 ft0NoNoNo2Pro & Farm700,000$545,517$40,000$31,172$70,000$54,552$No700,000$
Ben EagerLAS CRUCES MESCALEROS (SPU)LW/RW351/22/1984No244 Lbs6 ft2NoNoNo1Pro & Farm700,000$545,517$40,000$31,172$70,000$54,552$No
Bill ArnoldLAS CRUCES MESCALEROS (SPU)C/LW/RW275/13/1992 3:31:10 AMNo229 Lbs6 ft0NoNoNo3Pro & Farm646,000$503,434$40,000$31,172$64,600$50,343$No646,000$646,000$
Cal FooteLAS CRUCES MESCALEROS (SPU)D2012/13/1998 5:20:30 AMYes221 Lbs6 ft7NoNoNo2Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No650,000$
Connor CrispLAS CRUCES MESCALEROS (SPU)LW246/22/1995 7:31:04 AMYes193 Lbs6 ft3NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Corey PotterLAS CRUCES MESCALEROS (SPU)D351/5/1984No215 Lbs6 ft3NoNoNo1Pro & Farm1,577,000$1,228,972$40,000$31,172$157,700$122,897$No
Curtis LazarLAS CRUCES MESCALEROS (SPU)C/RW242/2/1995 1:34:29 AMYes202 Lbs6 ft0NoNoNo3Pro & Farm800,000$623,448$40,000$31,172$80,000$62,345$No800,000$800,000$
Dalton ThrowerLAS CRUCES MESCALEROS (SPU)D259/10/1994 3:21:55 AMYes241 Lbs6 ft6NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Daniel WinnikLAS CRUCES MESCALEROS (SPU)C/LW343/6/1985No221 Lbs6 ft2NoNoNo2Pro & Farm600,000$467,586$40,000$31,172$60,000$46,759$No600,000$
David DesharnaisLAS CRUCES MESCALEROS (SPU)C339/14/1986No188 Lbs5 ft7NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Devante Smith-PellyLAS CRUCES MESCALEROS (SPU)RW287/26/1991 9:10:01 AMNo198 Lbs6 ft0NoNoNo1Pro & Farm734,375$572,306$40,000$31,172$73,438$57,231$No
Drew StaffordLAS CRUCES MESCALEROS (SPU)RW3410/30/1985No228 Lbs6 ft2NoNoNo1Pro & Farm1,444,000$1,125,324$40,000$31,172$144,400$112,532$NoNHL Link
Ilya SorokinLAS CRUCES MESCALEROS (SPU)G248/4/1995 6:03:00 AMYes180 Lbs6 ft5NoNoNo4Pro & Farm600,000$467,586$40,000$31,172$60,000$46,759$No600,000$600,000$600,000$
Jack DoughertyLAS CRUCES MESCALEROS (SPU)D235/25/1996 5:36:32 AMYes201 Lbs6 ft4NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Kyle PalmieriLAS CRUCES MESCALEROS (SPU)C/LW/RW282/1/1991No211 Lbs5 ft11NoNoNo1Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No
Linus LindströmLAS CRUCES MESCALEROS (SPU)C211/8/1998 4:35:33 AMYes171 Lbs6 ft1NoNoNo1Pro & Farm400,000$311,724$40,000$31,172$40,000$31,172$No
Luke GreenLAS CRUCES MESCALEROS (SPU)D216/1/1998 3:04:47 AMYes203 Lbs6 ft3NoNoNo3Pro & Farm550,000$428,621$40,000$31,172$55,000$42,862$No550,000$550,000$
Mark JankowskiLAS CRUCES MESCALEROS (SPU)C259/13/1994 4:21:28 AMYes193 Lbs6 ft6NoNoNo1Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No
Martin RewayLAS CRUCES MESCALEROS (SPU)LW246/22/1995 11:47:40 AMYes186 Lbs6 ft2NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Michael SauerLAS CRUCES MESCALEROS (SPU)D328/7/1987No220 Lbs6 ft3NoNoNo1Pro & Farm1,107,662$863,212$40,000$31,172$110,766$86,321$No
Milan LucicLAS CRUCES MESCALEROS (SPU)LW316/7/1988No235 Lbs6 ft4NoNoNo1Pro & Farm800,000$623,448$40,000$31,172$80,000$62,345$No
Niklas HjalmarssonLAS CRUCES MESCALEROS (SPU)D326/6/1987No210 Lbs6 ft3NoNoNo1Pro & Farm1,318,000$1,027,131$40,000$31,172$131,800$102,713$No
Noah HanifinLAS CRUCES MESCALEROS (SPU)D221/25/1997 2:02:09 AMYes221 Lbs6 ft4NoNoNo5Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No750,000$750,000$750,000$750,000$
Phil GrubauerLAS CRUCES MESCALEROS (SPU)G2711/25/1991 3:33:30 AMNo197 Lbs6 ft1NoNoNo1Pro & Farm1,550,001$1,207,932$40,000$31,172$155,000$120,793$No
Ryan DonallyLAS CRUCES MESCALEROS (SPU)C/LW357/26/1984 9:08:14 AMNo191 Lbs6 ft0NoNoNo1Pro & Farm1,765,437$1,375,823$40,000$31,172$176,544$137,583$No
Sean DurziLAS CRUCES MESCALEROS (SPU)D206/1/1999 7:31:33 AMYes200 Lbs6 ft0NoNoNo3Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No650,000$650,000$
Thomas ChabotLAS CRUCES MESCALEROS (SPU)D221/30/1997 2:58:41 AMYes192 Lbs6 ft3NoNoNo4Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No650,000$650,000$650,000$
Tom GilbertLAS CRUCES MESCALEROS (SPU)D361/10/1983No212 Lbs6 ft3NoNoNo1Pro & Farm1,562,500$1,217,672$40,000$31,172$156,250$121,767$No
Tyler KennedyLAS CRUCES MESCALEROS (SPU)C337/15/1986No191 Lbs5 ft11NoYesNo2Pro & Farm1,830,000$1,426,138$40,000$31,172$183,000$142,614$No1,830,000$
Wouter PeetersLAS CRUCES MESCALEROS (SPU)G216/1/1998 3:13:12 AMYes207 Lbs6 ft1NoNoNo3Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$500,000$
Zachary FucaleLAS CRUCES MESCALEROS (SPU)G245/28/1995 2:40:50 AMYes190 Lbs6 ft3NoNoNo2Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No750,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3227.31206 Lbs6 ft21.91847,968$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben EagerMark JankowskiCurtis Lazar40122
2Daniel WinnikTyler KennedyAnton Rodin30122
3Milan LucicDavid DesharnaisDevante Smith-Pelly20122
4Tyler KennedyMark JankowskiCurtis Lazar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah HanifinThomas Chabot40122
2Dalton ThrowerCorey Potter30122
3Niklas HjalmarssonCal Foote20122
4Michael SauerTom Gilbert10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben EagerMark JankowskiCurtis Lazar60122
2Daniel WinnikTyler KennedyAnton Rodin40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah HanifinThomas Chabot60122
2Dalton ThrowerCorey Potter40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark JankowskiTyler Kennedy60122
2Curtis LazarAnton Rodin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah HanifinThomas Chabot60122
2Dalton ThrowerCorey Potter40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mark Jankowski60122Noah HanifinThomas Chabot60122
2Tyler Kennedy40122Dalton ThrowerCorey Potter40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mark JankowskiTyler Kennedy60122
2Curtis LazarAnton Rodin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah HanifinThomas Chabot60122
2Dalton ThrowerCorey Potter40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ben EagerMark JankowskiCurtis LazarNoah HanifinThomas Chabot
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ben EagerMark JankowskiCurtis LazarNoah HanifinThomas Chabot
Extra Forwards
Normal PowerPlayPenalty Kill
Devante Smith-Pelly, David Desharnais, Milan LucicDevante Smith-Pelly, David DesharnaisMilan Lucic
Extra Defensemen
Normal PowerPlayPenalty Kill
Luke Green, Andrei Mironov, Niklas HjalmarssonLuke GreenAndrei Mironov, Niklas Hjalmarsson
Penalty Shots
Mark Jankowski, Tyler Kennedy, Curtis Lazar, Anton Rodin, Devante Smith-Pelly
Goalie
#1 : Zachary Fucale, #2 : Phil Grubauer
Custom OT Lines Forwards
Mark Jankowski, Tyler Kennedy, Curtis Lazar, Anton Rodin, Devante Smith-Pelly, David Desharnais, David Desharnais, Ben Eager, Daniel Winnik, Milan Lucic,
Custom OT Lines Defensemen
Noah Hanifin, Thomas Chabot, Dalton Thrower, Corey Potter, Niklas Hjalmarsson


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
1CAPE FEAR WILDCATS2010010058-31010000024-21000010034-110.2505712001313181461651581548531920355240.00%10280.00%119134555.36%19440647.78%12125946.72%374194412180359181
2COQUITLAM EXPRESS21100000711-40000000000021100000711-420.50071118001313181491651581548511268309111.11%9633.33%019134555.36%19440647.78%12125946.72%374194412180359181
3HALIFAX HELL30300000614-820200000410-61010000024-200.0006915001313181761651581548692359585240.00%17570.59%019134555.36%19440647.78%12125946.72%374194412180359181
4HAWAII PUNCH31100001810-231100001810-20000000000030.50081220001313181921651581548942987448337.50%16287.50%019134555.36%19440647.78%12125946.72%374194412180359181
5MANHATTAN SWEDES1010000023-1000000000001010000023-100.0002460013131811916515815482981117100.00%3166.67%119134555.36%19440647.78%12125946.72%374194412180359181
6NEWTON NIGHTHAWKS2020000028-62020000028-60000000000000.00023500131318150165158154870311930800.00%7271.43%019134555.36%19440647.78%12125946.72%374194412180359181
7PINCHER CREEK WOLVERINES321000007611010000013-22200000063340.66771219001313181721651581548824043547342.86%140100.00%019134555.36%19440647.78%12125946.72%374194412180359181
8SYRACUSE BABY BULLS31200000710-3110000004222020000038-520.33371118001313181761651581548103443548300.00%15286.67%219134555.36%19440647.78%12125946.72%374194412180359181
Total19512001014470-261027000012137-16935001002333-10120.31644691130013131814801651581548551206342316461123.91%912078.02%419134555.36%19440647.78%12125946.72%374194412180359181
_Since Last GM Reset19512001014470-261027000012137-16935001002333-10120.31644691130013131814801651581548551206342316461123.91%912078.02%419134555.36%19440647.78%12125946.72%374194412180359181
_Vs Conference19512001014470-261027000012137-16935001002333-10120.31644691130013131814801651581548551206342316461123.91%912078.02%419134555.36%19440647.78%12125946.72%374194412180359181
_Vs Division1458000013551-16724000011725-8734000001826-8110.393355590001313181365165158154839914829223432928.13%711578.87%219134555.36%19440647.78%12125946.72%374194412180359181

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1912L2446911348055120634231600
All Games
GPWLOTWOTL SOWSOLGFGA
1951201014470
Home Games
GPWLOTWOTL SOWSOLGFGA
102700012137
Visitor Games
GPWLOTWOTL SOWSOLGFGA
93501002333
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
461123.91%912078.02%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
16515815481313181
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
19134555.36%19440647.78%12125946.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
374194412180359181


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2019-09-067LAS CRUCES MESCALEROS6COQUITLAM EXPRESS5WBoxScore
3 - 2019-09-0718HALIFAX HELL5LAS CRUCES MESCALEROS2LBoxScore
5 - 2019-09-0931NEWTON NIGHTHAWKS3LAS CRUCES MESCALEROS0LBoxScore
7 - 2019-09-1142LAS CRUCES MESCALEROS3PINCHER CREEK WOLVERINES2WBoxScore
8 - 2019-09-1247LAS CRUCES MESCALEROS1SYRACUSE BABY BULLS5LBoxScore
9 - 2019-09-1359HALIFAX HELL5LAS CRUCES MESCALEROS2LBoxScore
11 - 2019-09-1574HAWAII PUNCH5LAS CRUCES MESCALEROS3LBoxScore
12 - 2019-09-1680LAS CRUCES MESCALEROS2HALIFAX HELL4LBoxScore
14 - 2019-09-1894HAWAII PUNCH3LAS CRUCES MESCALEROS2LXXBoxScore
16 - 2019-09-20102LAS CRUCES MESCALEROS2MANHATTAN SWEDES3LBoxScore
18 - 2019-09-22115LAS CRUCES MESCALEROS2SYRACUSE BABY BULLS3LBoxScore
19 - 2019-09-23126SYRACUSE BABY BULLS2LAS CRUCES MESCALEROS4WBoxScore
21 - 2019-09-25140LAS CRUCES MESCALEROS1COQUITLAM EXPRESS6LBoxScore
22 - 2019-09-26144LAS CRUCES MESCALEROS3PINCHER CREEK WOLVERINES1WBoxScore
24 - 2019-09-28153NEWTON NIGHTHAWKS5LAS CRUCES MESCALEROS2LBoxScore
25 - 2019-09-29170HAWAII PUNCH2LAS CRUCES MESCALEROS3WBoxScore
27 - 2019-10-01178LAS CRUCES MESCALEROS3CAPE FEAR WILDCATS4LXBoxScore
29 - 2019-10-03191PINCHER CREEK WOLVERINES3LAS CRUCES MESCALEROS1LBoxScore
31 - 2019-10-05205CAPE FEAR WILDCATS4LAS CRUCES MESCALEROS2LBoxScore
33 - 2019-10-07212LAS CRUCES MESCALEROS-EDMONTON OILERS-
34 - 2019-10-08225LAS CRUCES MESCALEROS-NEWTON NIGHTHAWKS-
35 - 2019-10-09234COLORADO CUBS-LAS CRUCES MESCALEROS-
38 - 2019-10-12248MANHATTAN SWEDES-LAS CRUCES MESCALEROS-
40 - 2019-10-14262LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
42 - 2019-10-16272PINCHER CREEK WOLVERINES-LAS CRUCES MESCALEROS-
44 - 2019-10-18288LAS CRUCES MESCALEROS-SYRACUSE BABY BULLS-
45 - 2019-10-19295COQUITLAM EXPRESS-LAS CRUCES MESCALEROS-
48 - 2019-10-22309LAS CRUCES MESCALEROS-COLORADO CUBS-
49 - 2019-10-23317PENSACOLA BLACK BEARS-LAS CRUCES MESCALEROS-
51 - 2019-10-25330LAS CRUCES MESCALEROS-PENSACOLA BLACK BEARS-
52 - 2019-10-26339COQUITLAM EXPRESS-LAS CRUCES MESCALEROS-
54 - 2019-10-28354LAS CRUCES MESCALEROS-NORTH VAN ROCKERS-
55 - 2019-10-29360COQUITLAM EXPRESS-LAS CRUCES MESCALEROS-
57 - 2019-10-31372LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
59 - 2019-11-02382NEWTON NIGHTHAWKS-LAS CRUCES MESCALEROS-
60 - 2019-11-03394LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
62 - 2019-11-05404PINCHER CREEK WOLVERINES-LAS CRUCES MESCALEROS-
65 - 2019-11-08421EDMONTON OILERS-LAS CRUCES MESCALEROS-
66 - 2019-11-09428LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
67 - 2019-11-10435LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
68 - 2019-11-11446DETROIT STEELERS-LAS CRUCES MESCALEROS-
70 - 2019-11-13459LAS CRUCES MESCALEROS-HAWAII PUNCH-
71 - 2019-11-14468LAS CRUCES MESCALEROS-PHILADELPHIA PHANTOMS-
72 - 2019-11-15476MANHATTAN SWEDES-LAS CRUCES MESCALEROS-
75 - 2019-11-18491VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
76 - 2019-11-19503LAS CRUCES MESCALEROS-CAPE FEAR WILDCATS-
78 - 2019-11-21513NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-
80 - 2019-11-23526LAS CRUCES MESCALEROS-CAPE FEAR WILDCATS-
81 - 2019-11-24532LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
83 - 2019-11-26543HALIFAX HELL-LAS CRUCES MESCALEROS-
84 - 2019-11-27554LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
86 - 2019-11-29565BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
89 - 2019-12-02579CALGARY WRANGLERS-LAS CRUCES MESCALEROS-
90 - 2019-12-03590LAS CRUCES MESCALEROS-HALIFAX HELL-
92 - 2019-12-05603HAWAII PUNCH-LAS CRUCES MESCALEROS-
93 - 2019-12-06610LAS CRUCES MESCALEROS-BANGOR PUPPIES-
96 - 2019-12-09623LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
97 - 2019-12-10631SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
98 - 2019-12-11647CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
100 - 2019-12-13654LAS CRUCES MESCALEROS-HALIFAX HELL-
101 - 2019-12-14666LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
103 - 2019-12-16674SYRACUSE BABY BULLS-LAS CRUCES MESCALEROS-
105 - 2019-12-18690BANGOR PUPPIES-LAS CRUCES MESCALEROS-
107 - 2019-12-20700LAS CRUCES MESCALEROS-SAN JOSE AVACADOES-
108 - 2019-12-21712LAS CRUCES MESCALEROS-SYRACUSE BABY BULLS-
109 - 2019-12-22719VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
111 - 2019-12-24735LAS CRUCES MESCALEROS-DETROIT STEELERS-
112 - 2019-12-25740CAPE BRETON LEPRECHAUNS-LAS CRUCES MESCALEROS-
Trade Deadline --- Trades can’t be done after this day is simulated!
115 - 2019-12-28757SYRACUSE BABY BULLS-LAS CRUCES MESCALEROS-
116 - 2019-12-29767LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
118 - 2019-12-31775LAS CRUCES MESCALEROS-CAPE BRETON LEPRECHAUNS-
119 - 2020-01-01783EDMONTON OILERS-LAS CRUCES MESCALEROS-
121 - 2020-01-03802NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-
122 - 2020-01-04810LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
124 - 2020-01-06818LAS CRUCES MESCALEROS-CALGARY WRANGLERS-
126 - 2020-01-08829PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
130 - 2020-01-12844CHICAGO UNDERTAKERS-LAS CRUCES MESCALEROS-
133 - 2020-01-15863HALIFAX HELL-LAS CRUCES MESCALEROS-
134 - 2020-01-16873LAS CRUCES MESCALEROS-HAWAII PUNCH-
136 - 2020-01-18884HALIFAX HELL-LAS CRUCES MESCALEROS-
137 - 2020-01-19889LAS CRUCES MESCALEROS-EDMONTON OILERS-
139 - 2020-01-21901LAS CRUCES MESCALEROS-HAWAII PUNCH-
140 - 2020-01-22904LAS CRUCES MESCALEROS-NEWTON NIGHTHAWKS-
143 - 2020-01-25914NEWTON NIGHTHAWKS-LAS CRUCES MESCALEROS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity30002000
Ticket Price3716
Attendance24,02319,603
Attendance PCT80.08%98.02%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 4363 - 87.25% 120,250$1,202,499$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
795,727$ 2,713,498$ 128,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,713,498$ 552,975$ 32 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,847,997$ 113 26,300$ 2,971,900$




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
784273706617247271-2442122102313112130-1842151604304135141-6542474066533059948772306665815796542420815104914692456827.76%3328075.90%4796157350.60%890172951.47%629120552.20%171292317918161592789
819512001014470-261027000012137-16935001002333-101244691130013131814801651581548551206342316461123.91%912078.02%419134555.36%19440647.78%12125946.72%374194412180359181
Total Regular Season103324906718291341-5052142802314133167-3451182104404158174-16662914757663072107105827868309739506229711021139117852917927.15%42310076.36%8987191851.46%1084213550.77%750146451.23%2086111722039961951970