TUSCON Roadrunners

GP: 79 | W: 51 | L: 21 | OTL: 7 | P: 109
GF: 376 | GA: 150 | PP%: 19.80% | PK%: 87.67%
GM : RS Guérin | Morale : 96 | Team Overall : 62
Next Games #1035 vs COLORADO Eagles
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
1Tom Pyatt81X100.006341827465819867346864716666584787710
2Mitch Hults (R)10X100.006241776578697070676969605850504390660
3Gregory Campbell38XX100.006369727169498560745855705578701087650
4Graham Knott (R)75X100.006042796578598762676367665250504486650
5Cole Schneider (C)79XX100.006443716073669361506259605950503686640
6Adam Helewka34X100.006442726077658060506365605650504486640
7Alan Quine95XX100.006841827072774258596364635953524786630
8Mark Arcobello85X100.005437817655545965785965646068563986620
9Daniel Zaar46X100.004735777266474368306460505558517986580
10Darren Kramer29X100.005944756076494362506064605450504286580
11Brady Vail (R)64X100.004835776869454046344343504858507985510
12Fredrik Claesson44X100.008343806573778169306260736455555690690
13Neal Pionk (R)80X100.006443816068699367306260775851534487670
14Andreas Borgman0X100.008044765975689065305557616652534487650
15Slater Koekkoek15X100.006642806673705272305866717253548487650
16Jared Cowen2X100.008552786090544756305130784862606387590
17Steve Kampfer (A)56X100.006138696866454250313939685070623187540
18Alexey Marchenko62X100.005536796180514846303430814762486387530
Scratches
1Darren Dietz58X100.005941766475474448303042594960497155520
TEAM AVERAGE100.00634377657360656144565665575854518562
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
1Thomas Greiss100.00727798887991807777687466693886710
2Adin Hill100.00707198867790737272707050606489670
Scratches
TEAM AVERAGE100.0071749887789177757569725865518869
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug Weight80748081747474USA484780,000$


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 NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tom PyattTUSCON Roadrunners (ARZ)LW793360936832068934111022708.03%14159720.2238114916701191445059.22%10300021.1615000443
2Slater KoekkoekTUSCON Roadrunners (ARZ)D792359827729564681514711215.23%61163220.66257331060442231500.00%000001.0004001404
3Fredrik ClaessonTUSCON Roadrunners (ARZ)D78156580799201936116755978.98%76171922.0531316601490116207400.00%000000.9311000245
4Dominik SimonARIZONA CoyotesC/LW/RW564137787429556973179220012.93%1112320.05426311061019625063.02%100600021.3915010771
5Graham KnottTUSCON Roadrunners (ARZ)C7932467870240591062827822811.35%13136017.2231114231470004823068.51%137800011.1502000156
6Neal PionkTUSCON Roadrunners (ARZ)D79136275732204073138471189.42%80171121.676612421470111230310.00%000000.8800000224
7Adam HelewkaTUSCON Roadrunners (ARZ)LW7935397483540138702438620514.40%9146318.531125571013864163.64%8800011.0112000436
8Mitch HultsTUSCON Roadrunners (ARZ)C652742695238075862486917710.89%8115617.79369211160002776171.67%125300021.1901000542
9Mark ArcobelloTUSCON Roadrunners (ARZ)RW79293665521404075311762109.32%5130116.478513381540002143273.33%10500011.0011000461
10Gregory CampbellTUSCON Roadrunners (ARZ)C/LW7924386263400100932246815710.71%10129716.43415179302271751073.18%53700000.9602000344
11Alan QuineTUSCON Roadrunners (ARZ)C/LW79184260478064117206481398.74%8105913.42156157530391702064.45%109700101.1300000143
12Cole SchneiderTUSCON Roadrunners (ARZ)LW/RW7929265579695117402255213212.89%5142918.1011291170002432264.95%9700020.7700100332
13Alexey MarchenkoTUSCON Roadrunners (ARZ)D7910394968280563373223913.70%55120515.260110800029220100.00%100000.8100000101
14Darren KramerTUSCON Roadrunners (ARZ)LW791622384024103630148368610.81%381210.29000000002950060.00%7500000.9400011012
15Daniel ZaarTUSCON Roadrunners (ARZ)RW7916193532601344134299311.94%285710.851122370000374147.37%7600000.8200000005
16Andreas BorgmanTUSCON Roadrunners (ARZ)D79102535648001732687315311.49%56162920.63156351730003219110.00%000000.4300000213
17Steve KampferTUSCON Roadrunners (ARZ)D79520256348085285722328.77%37121515.39011452000161000.00%000000.4100000000
18Jared CowenTUSCON Roadrunners (ARZ)D76217193269582272910146.90%266818.9701118011048000.00%000000.5600001002
19Darren DietzTUSCON Roadrunners (ARZ)D3815634140287125128.33%543011.3200003000131000.00%000000.2800000000
20Brady VailTUSCON Roadrunners (ARZ)C37246800522186811.11%03288.8800000000000052.03%27100000.3700000000
Team Total or Average14563817031084115872030149211963481981238210.95%4742401416.49417311438517265101565211650966.63%6087001110.90523123434854
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
1Adin HillTUSCON Roadrunners (ARZ)44261230.9071.602517012677220020.769134138202
2Thomas GreissTUSCON Roadrunners (ARZ)3925940.8972.08225525787570100.700103841110
Team Total or Average83512170.9021.82477221714514790120.739237979312


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam HelewkaTUSCON Roadrunners (ARZ)LW237/21/1995No91 Kg185 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Adin HillTUSCON Roadrunners (ARZ)G225/11/1996No92 Kg198 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Alan QuineTUSCON Roadrunners (ARZ)C/LW252/25/1993No92 Kg183 CMNoNoNo1RFAPro & Farm1,000,000$0$0$NoLink
Alexey MarchenkoTUSCON Roadrunners (ARZ)D261/2/1992No95 Kg191 CMNoNoNo1RFAPro & Farm950,000$0$0$No
Andreas BorgmanTUSCON Roadrunners (ARZ)D236/18/1995No96 Kg183 CMNoNoNo6RFAPro & Farm750,000$0$0$NoLink
Brady VailTUSCON Roadrunners (ARZ)C243/11/1994Yes88 Kg183 CMNoNoNo1RFAPro & Farm750,000$0$0$No
Cole SchneiderTUSCON Roadrunners (ARZ)LW/RW288/26/1990No91 Kg185 CMNoNoNo1UFAPro & Farm750,000$0$0$NoLink
Daniel ZaarTUSCON Roadrunners (ARZ)RW244/24/1994No81 Kg183 CMNoNoNo2RFAPro & Farm750,000$0$0$No
Darren DietzTUSCON Roadrunners (ARZ)D257/17/1993No97 Kg185 CMNoNoNo1RFAPro & Farm850,000$0$0$No
Darren KramerTUSCON Roadrunners (ARZ)LW2611/19/1991No92 Kg185 CMNoNoNo1RFAPro & Farm950,000$0$0$NoLink
Fredrik ClaessonTUSCON Roadrunners (ARZ)D2511/24/1992No91 Kg185 CMNoNoNo3RFAPro & Farm950,000$0$0$NoLink
Graham KnottTUSCON Roadrunners (ARZ)C211/13/1997Yes87 Kg191 CMNoNoNo2RFAPro & Farm735,000$0$0$NoLink
Gregory CampbellTUSCON Roadrunners (ARZ)C/LW3412/17/1983No90 Kg183 CMNoNoNo2UFAPro & Farm750,000$0$0$No
Jared CowenTUSCON Roadrunners (ARZ)D271/25/1991No108 Kg196 CMNoNoNo2RFAPro & Farm750,000$0$0$No
Mark ArcobelloTUSCON Roadrunners (ARZ)RW308/12/1988No79 Kg173 CMNoNoNo1UFAPro & Farm750,000$0$0$No
Mitch HultsTUSCON Roadrunners (ARZ)C2211/13/1995Yes95 Kg188 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Neal PionkTUSCON Roadrunners (ARZ)D237/29/1995Yes86 Kg183 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Slater KoekkoekTUSCON Roadrunners (ARZ)D242/18/1994No88 Kg188 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Steve KampferTUSCON Roadrunners (ARZ)D299/24/1988No87 Kg180 CMNoNoNo1UFAPro & Farm2,000,000$0$0$No
Thomas GreissTUSCON Roadrunners (ARZ)G321/29/1986No103 Kg185 CMNoNoNo2UFAPro & Farm2,400,000$0$0$NoLink
Tom PyattTUSCON Roadrunners (ARZ)LW312/14/1987No84 Kg180 CMNoNoNo1UFAPro & Farm1,100,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2125.9091 Kg185 CM1.76949,286$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tom PyattGraham KnottCole Schneider31023
2Gregory CampbellMitch HultsMark Arcobello26023
3Adam HelewkaAlan QuineDaniel Zaar23023
4Darren KramerBrady VailAdam Helewka20023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Neal PionkAndreas Borgman31122
2Slater KoekkoekFredrik Claesson30122
3Steve KampferAlexey Marchenko24122
4Jared CowenNeal Pionk15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tom PyattGraham KnottCole Schneider55014
2Gregory CampbellMitch HultsMark Arcobello45014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Neal PionkAndreas Borgman55014
2Graham KnottFredrik Claesson45014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alan QuineTom Pyatt55122
2Mitch HultsGregory Campbell45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Neal PionkAndreas Borgman55122
2Slater KoekkoekFredrik Claesson45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Darren Kramer55122Steve KampferAlexey Marchenko55122
2Adam Helewka45122Slater KoekkoekJared Cowen45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Graham KnottTom Pyatt55023
2Mitch HultsGregory Campbell45023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Neal PionkAndreas Borgman55023
2Slater KoekkoekFredrik Claesson45023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tom PyattGraham KnottCole SchneiderNeal PionkFredrik Claesson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam HelewkaMitch HultsMark ArcobelloAndreas BorgmanSteve Kampfer
Extra Forwards
Normal PowerPlayPenalty Kill
Mark Arcobello, Adam Helewka, Alan QuineCole Schneider, Daniel ZaarAlan Quine
Extra Defensemen
Normal PowerPlayPenalty Kill
Slater Koekkoek, Alexey Marchenko, Jared CowenFredrik ClaessonAlexey Marchenko, Steve Kampfer
Penalty Shots
Tom Pyatt, Mark Arcobello, Mitch Hults, Gregory Campbell, Graham Knott
Goalie
#1 : Thomas Greiss, #2 : Adin Hill
Custom OT Lines Forwards
Graham Knott, Mitch Hults, Gregory Campbell, Tom Pyatt, Darren Kramer, Cole Schneider, Cole Schneider, Adam Helewka, Alan Quine, Mark Arcobello, Brady Vail
Custom OT Lines Defensemen
Neal Pionk, Fredrik Claesson, Andreas Borgman, Slater Koekkoek, Steve Kampfer


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
1BELLEVILLE Senators62201010171523200100010643020001079-280.6671726430017312178720810921131117856128316510311327.27%29293.10%12012286470.25%1194192262.12%852125368.00%248919151379462912510
2BRIDGEPORT Sound Tigers220000001679110000008441100000083541.000163248001731217877610921131117856501224222150.00%11372.73%02012286470.25%1194192262.12%852125368.00%248919151379462912510
3BROOKLYN Wolfpack220000002102111000000909110000001201241.000213859021731217871761092113111785653626000.00%30100.00%22012286470.25%1194192262.12%852125368.00%248919151379462912510
4CHICAGO Wolves330000001037110000003122200000072561.00010162601173121787991092113111785659202751300.00%10190.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
5CLEVELAND Monsters40400000615-91010000014-330300000511-600.000691500173121787931092113111785696203072900.00%13284.62%02012286470.25%1194192262.12%852125368.00%248919151379462912510
6COLORADO Eagles11000000312000000000001100000031221.0003580017312178732109211311178562141474250.00%60100.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
7CORNWALL Aces1010000000107710066000000696634400000038137201.000107203310031731217875951092113111785611526792188562.50%230100.00%12012286470.25%1194192262.12%852125368.00%248919151379462912510
8HERSEY Bears3110000110822010000136-31100000072530.500102030001731217879510921131117856641320458112.50%10280.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
9HOLLYWOOD Oscar2200000020119110000001019110000001001041.0002037570117312178720510921131117856204651100.00%20100.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
10IOWA Wild201010007701010000034-11000100043120.50071017001731217879210921131117856421712305240.00%6266.67%02012286470.25%1194192262.12%852125368.00%248919151379462912510
11LAVAL Rockets21100000752110000004131010000034-120.50071118001731217875710921131117856642416343266.67%8275.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
12LEHIGH VALLEY Phantoms3100010110912000010179-21100000030340.6671016260117312178780109211311178568727526813323.08%26292.31%12012286470.25%1194192262.12%852125368.00%248919151379462912510
13MANITOBA Moose3300000016115110000007072200000091861.000162945021731217872801092113111785610463811100.00%30100.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
14MILWAUKEE Admirals2020000047-31010000034-11010000013-200.0004711001731217875610921131117856491728369111.11%12191.67%02012286470.25%1194192262.12%852125368.00%248919151379462912510
15MONT-LAURIER Sommet21100000541110000004131010000013-220.500591410173121787621092113111785629101235500.00%60100.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
16PROVIDENCE Bruins211000005501010000024-21100000031220.50051015101731217875410921131117856451416328337.50%6266.67%02012286470.25%1194192262.12%852125368.00%248919151379462912510
17PV Sharapovas823002011417-34020010148-442100100109170.438142539011731217871981092113111785620664901564249.52%42783.33%02012286470.25%1194192262.12%852125368.00%248919151379462912510
18ROCKFORD IceHogs2110000035-2110000003211010000003-320.500358001731217874910921131117856371928404125.00%11190.91%02012286470.25%1194192262.12%852125368.00%248919151379462912510
19SAN DIEGO Gulls11000000312110000003120000000000021.0003690017312178736109211311178561191432100.00%5180.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
20STOCKTON Flames21000010642110000004311000001021141.000691500173121787581092113111785646181935400.00%7185.71%02012286470.25%1194192262.12%852125368.00%248919151379462912510
21SYRACUSE Crunch53200000426363210000029425211000001321160.600428112303173121787315109211311178564718266621523.81%12191.67%02012286470.25%1194192262.12%852125368.00%248919151379462912510
22TORONTO Marlies550000001851322000000835330000001028101.00018355301173121787218109211311178567829309419315.79%150100.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
Total794721024233761502263924901203211791324023120122016571941090.6903766871063217173121787343410921131117856148144667614022024019.80%2923687.67%52012286470.25%1194192262.12%852125368.00%248919151379462912510
24UTICA Comets31200000712-51010000036-32110000046-220.333712190017312178783109211311178568516285314214.29%13469.23%02012286470.25%1194192262.12%852125368.00%248919151379462912510
25VICTORIAVILLE Tigres210001001156110000008171000010034-130.750112233001731217877610921131117856661922325120.00%10280.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
26WILKIES-BARRIE Penguins22000000808110000006061100000020241.000814220217312178714110921131117856218626200.00%30100.00%02012286470.25%1194192262.12%852125368.00%248919151379462912510
_Since Last GM Reset794721024233761502263924901203211791324023120122016571941090.6903766871063217173121787343410921131117856148144667614022024019.80%2923687.67%52012286470.25%1194192262.12%852125368.00%248919151379462912510
_Vs Conference50319024222738119226174012021634611724145012201103575760.7602735027751121731217872387109211311178568742674199261352720.00%1811790.61%32012286470.25%1194192262.12%852125368.00%248919151379462912510
_Vs Division1622701211713932812301101342311810400110371621511.5947112920005173121787661109211311178563238313825934514.71%66986.36%32012286470.25%1194192262.12%852125368.00%248919151379462912510

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
79109L23766871063343414814466761402217
All Games
GPWLOTWOTL SOWSOLGFGA
7947212423376150
Home Games
GPWLOTWOTL SOWSOLGFGA
39249120321179
Visitor Games
GPWLOTWOTL SOWSOLGFGA
402312122016571
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2024019.80%2923687.67%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
10921131117856173121787
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
2012286470.25%1194192262.12%852125368.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
248919151379462912510


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 - 2019-01-2416PV Sharapovas2TUSCON Roadrunners1LBoxScore
4 - 2019-01-2629CORNWALL Aces1TUSCON Roadrunners12WBoxScore
6 - 2019-01-2851TUSCON Roadrunners2PV Sharapovas3LXBoxScore
7 - 2019-01-2953SYRACUSE Crunch0TUSCON Roadrunners14WR3BoxScore
8 - 2019-01-3068TUSCON Roadrunners0SYRACUSE Crunch2LBoxScore
9 - 2019-01-3179SYRACUSE Crunch4TUSCON Roadrunners3LR3BoxScore
11 - 2019-02-0290TUSCON Roadrunners9CORNWALL Aces0WBoxScore
13 - 2019-02-04108TORONTO Marlies1TUSCON Roadrunners4WBoxScore
14 - 2019-02-05119TUSCON Roadrunners3BELLEVILLE Senators2WXXBoxScore
15 - 2019-02-06130TUSCON Roadrunners2PV Sharapovas0WBoxScore
16 - 2019-02-07138PV Sharapovas3TUSCON Roadrunners2LXXBoxScore
18 - 2019-02-09159BELLEVILLE Senators2TUSCON Roadrunners3WXBoxScore
19 - 2019-02-10166TUSCON Roadrunners1CLEVELAND Monsters2LBoxScore
21 - 2019-02-12185CORNWALL Aces1TUSCON Roadrunners12WBoxScore
23 - 2019-02-14196TUSCON Roadrunners2TORONTO Marlies1WBoxScore
24 - 2019-02-15213CORNWALL Aces1TUSCON Roadrunners12WBoxScore
25 - 2019-02-16216TUSCON Roadrunners2BELLEVILLE Senators4LBoxScore
27 - 2019-02-18236HERSEY Bears3TUSCON Roadrunners1LBoxScore
28 - 2019-02-19243TUSCON Roadrunners3LAVAL Rockets4LBoxScore
30 - 2019-02-21257TUSCON Roadrunners6MANITOBA Moose1WBoxScore
31 - 2019-02-22269TUSCON Roadrunners9CORNWALL Aces0WBoxScore
32 - 2019-02-23281BRIDGEPORT Sound Tigers4TUSCON Roadrunners8WBoxScore
34 - 2019-02-25297CORNWALL Aces1TUSCON Roadrunners12WBoxScore
35 - 2019-02-26310LEHIGH VALLEY Phantoms4TUSCON Roadrunners3LXXR3BoxScore
37 - 2019-02-28324TUSCON Roadrunners3LEHIGH VALLEY Phantoms0WBoxScore
38 - 2019-03-01335LEHIGH VALLEY Phantoms5TUSCON Roadrunners4LXR3BoxScore
40 - 2019-03-03353TUSCON Roadrunners2BELLEVILLE Senators3LBoxScore
41 - 2019-03-04363PROVIDENCE Bruins4TUSCON Roadrunners2LBoxScore
43 - 2019-03-06375TUSCON Roadrunners3COLORADO Eagles1WBoxScore
44 - 2019-03-07385TUSCON Roadrunners10HOLLYWOOD Oscar0WBoxScore
46 - 2019-03-09399SAN DIEGO Gulls1TUSCON Roadrunners3WBoxScore
48 - 2019-03-11415TUSCON Roadrunners4CHICAGO Wolves0WBoxScore
49 - 2019-03-12426LAVAL Rockets1TUSCON Roadrunners4WBoxScore
50 - 2019-03-13443CORNWALL Aces1TUSCON Roadrunners10WBoxScore
51 - 2019-03-14447TUSCON Roadrunners2TORONTO Marlies1WBoxScore
53 - 2019-03-16471MONT-LAURIER Sommet1TUSCON Roadrunners4WBoxScore
54 - 2019-03-17480TUSCON Roadrunners10CORNWALL Aces1WBoxScore
55 - 2019-03-18491TUSCON Roadrunners2CLEVELAND Monsters4LBoxScore
57 - 2019-03-20502HERSEY Bears3TUSCON Roadrunners2LXXBoxScore
58 - 2019-03-21520WILKIES-BARRIE Penguins0TUSCON Roadrunners6WBoxScore
60 - 2019-03-23530TUSCON Roadrunners2CLEVELAND Monsters5LBoxScore
61 - 2019-03-24542TUSCON Roadrunners2WILKIES-BARRIE Penguins0WBoxScore
63 - 2019-03-26554TUSCON Roadrunners2STOCKTON Flames1WXXBoxScore
64 - 2019-03-27565BELLEVILLE Senators3TUSCON Roadrunners4WBoxScore
66 - 2019-03-29584TUSCON Roadrunners3MANITOBA Moose0WBoxScore
67 - 2019-03-30592TORONTO Marlies2TUSCON Roadrunners4WBoxScore
68 - 2019-03-31609TUSCON Roadrunners3PROVIDENCE Bruins1WBoxScore
69 - 2019-04-01621HOLLYWOOD Oscar1TUSCON Roadrunners10WBoxScore
71 - 2019-04-03631TUSCON Roadrunners13SYRACUSE Crunch0WR3BoxScore
72 - 2019-04-04643CHICAGO Wolves1TUSCON Roadrunners3WBoxScore
74 - 2019-04-06661CORNWALL Aces1TUSCON Roadrunners11WBoxScore
75 - 2019-04-07675CLEVELAND Monsters4TUSCON Roadrunners1LBoxScore
77 - 2019-04-09689TUSCON Roadrunners10CORNWALL Aces0WBoxScore
78 - 2019-04-10704UTICA Comets6TUSCON Roadrunners3LBoxScore
79 - 2019-04-11713TUSCON Roadrunners7HERSEY Bears2WBoxScore
81 - 2019-04-13729SYRACUSE Crunch0TUSCON Roadrunners12WR3BoxScore
82 - 2019-04-14742TUSCON Roadrunners4IOWA Wild3WXBoxScore
83 - 2019-04-15754IOWA Wild4TUSCON Roadrunners3LBoxScore
84 - 2019-04-16761TUSCON Roadrunners8BRIDGEPORT Sound Tigers3WBoxScore
86 - 2019-04-18777TUSCON Roadrunners0ROCKFORD IceHogs3LBoxScore
87 - 2019-04-19788TUSCON Roadrunners12BROOKLYN Wolfpack0WBoxScore
88 - 2019-04-20800BROOKLYN Wolfpack0TUSCON Roadrunners9WBoxScore
90 - 2019-04-22814TUSCON Roadrunners3VICTORIAVILLE Tigres4LXBoxScore
92 - 2019-04-24827MANITOBA Moose0TUSCON Roadrunners7WBoxScore
94 - 2019-04-26841ROCKFORD IceHogs2TUSCON Roadrunners3WBoxScore
95 - 2019-04-27857MILWAUKEE Admirals4TUSCON Roadrunners3LBoxScore
97 - 2019-04-29871TUSCON Roadrunners6TORONTO Marlies0WBoxScore
98 - 2019-04-30881TUSCON Roadrunners2UTICA Comets5LBoxScore
99 - 2019-05-01890TUSCON Roadrunners3PV Sharapovas2WBoxScore
100 - 2019-05-02904TUSCON Roadrunners3CHICAGO Wolves2WBoxScore
101 - 2019-05-03910BELLEVILLE Senators1TUSCON Roadrunners3WBoxScore
103 - 2019-05-05927PV Sharapovas1TUSCON Roadrunners0LBoxScore
104 - 2019-05-06937TUSCON Roadrunners1MONT-LAURIER Sommet3LBoxScore
106 - 2019-05-08955VICTORIAVILLE Tigres1TUSCON Roadrunners8WBoxScore
107 - 2019-05-09966TUSCON Roadrunners2UTICA Comets1WBoxScore
109 - 2019-05-11981STOCKTON Flames3TUSCON Roadrunners4WBoxScore
111 - 2019-05-131003PV Sharapovas2TUSCON Roadrunners1LXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-141012TUSCON Roadrunners1MILWAUKEE Admirals3LBoxScore
113 - 2019-05-151020TUSCON Roadrunners3PV Sharapovas4LBoxScore
115 - 2019-05-171035COLORADO Eagles-TUSCON Roadrunners-
117 - 2019-05-191050TORONTO Marlies-TUSCON Roadrunners-
118 - 2019-05-201057TUSCON Roadrunners-ROCKFORD IceHogs-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
2 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,633,622$ 1,993,500$ 1,993,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,892,622$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 23,112$ 138,672$




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
287847170343437111425739231100311177601173924603123194541409437166510361241791087810351811291155121538115836037412221272116.54%1501490.67%41657232371.33%848141559.93%840116971.86%273821851127384857513
3082571503421371147224413070030119669127412780312017578971143716631034016173112817337410581098120325143841038612591653219.39%1753082.86%81758253169.46%1071170063.00%842123168.40%258220021410469954531
3182501606433330139191413150320016851117411911032331628874100330575905020153937511294394997499054183856260314822024522.28%2583287.60%21718265464.73%1324235056.34%765125860.81%2272167716915411002519
32794721024233761502263924901203211791324023120122016571941093766871063217173121787343410921131117856148144667614022024019.80%2923687.67%52012286470.25%1194192262.12%852125368.00%248919151379462912510
Total Regular Season3212016901416101114485508981601083204101575225949316193370106966962914054171448259040383776784343123513269422843584586173591517782039536569613819.83%87511287.20%1971451037268.89%4437738760.06%3299491167.18%1008177815608185737252075
Playoff
28945000001820-24130000069-353200000121118183048007560212728153624773721342528.00%33584.85%016028356.54%14326154.79%6912953.49%2241542126612061
30211470000067472011830000038211710640000029263286711618303252018469821119219798590191150353761317.11%731480.82%146176260.50%37466156.58%17933453.59%617437506170302154
Total Playoff301812000008567181596000004430141596000004137436851462310332252449102832732501048372642224871011514.85%1061982.08%1621104559.43%51792256.07%24846353.56%841591718236422215