Please rotate your device to landscape mode for a better experience.
Login

Roadrunners
GP: 82 | W: 44 | L: 29 | OTL: 9 | P: 97
GF: 317 | GA: 310 | PP%: 26.20% | PK%: 75.51%
GM : Greg Vandersteen | Morale : 58 | Team Overall : 58

Game Center
Marlies
57-21-4, 118pts
3
FINAL
6 Roadrunners
44-29-9, 97pts
Team Stats
W2StreakOTL1
30-8-3Home Record24-15-2
27-13-1Home Record20-14-7
7-2-1Last 10 Games3-5-2
4.50Goals Per Game3.87
3.16Goals Against Per Game3.78
26.00%Power Play Percentage26.20%
75.73%Penalty Kill Percentage75.51%
Griffins
44-36-2, 90pts
5
FINAL
4 Roadrunners
44-29-9, 97pts
Team Stats
OTW1StreakOTL1
25-16-0Home Record24-15-2
19-20-2Home Record20-14-7
6-3-1Last 10 Games3-5-2
5.26Goals Per Game3.87
5.18Goals Against Per Game3.78
22.09%Power Play Percentage26.20%
71.29%Penalty Kill Percentage75.51%
Team Leaders
Ondrej PalatGoals
Ondrej Palat
38
Tyson JostAssists
Tyson Jost
63
Tyson JostPoints
Tyson Jost
91
Philippe MyersPlus/Minus
Philippe Myers
19
Akira SchmidWins
Akira Schmid
12
Akira SchmidSave Percentage
Akira Schmid
0.841

Team Stats
Goals For
317
3.87 GFG
Shots For
2571
31.35 Avg
Power Play Percentage
26.2%
49 GF
Offensive Zone Start
40.7%
Goals Against
310
3.78 GAA
Shots Against
2645
32.26 Avg
Penalty Kill Percentage
75.5%%
48 GA
Defensive Zone Start
37.8%
Team Info

General ManagerGreg Vandersteen
CoachDave Semenko
DivisionMetropolitan
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2Nico Sturm


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team23
Farm Team21
Contract Limit44 / 50
Prospects44


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 SPAgeContractSalary
1Gustav NyquistX100.00615590666180917050686667638278077660363500,000$
2Ondrej PalatX100.00765591696974887150667262517875059660352500,000$
3Nico Sturm (A)X100.00786692677567757178646266507573076640304500,000$
4Anthony ManthaX100.006869776384665471506170546374750766203142,000,000$
5Tyson JostX100.00696178666665627361645959506767075610283500,000$
6David GustafssonX100.00606997657062606967615460506565074590263500,000$
7Akil Thomas (R)X100.00737096636964566351575056506464073570263500,000$
8Nils AmanX100.00625493626460546853605055506163019570261500,000$
9Max JonesX100.00826166617863565650555057506563018560283500,000$
10Joey AndersonX100.00585099577464555150524963506870058550271500,000$
11Ville KoivunenX100.00505775555662555750654949506270018540224500,000$
12Philippe MyersX100.00806785607968636650585470557072075640292500,000$
13Zac JonesX100.00655977666871687150675268556365073630252500,000$
14Troy StecherX100.00626284616466796550555470557473049620322500,000$
15Matthew KesselX100.00655983607462586450555464556567072600252500,000$
Scratches
1Oliver Kapanen (R)X100.00505593577061545257545056625557020530223500,000$
2Nikita Chibrikov (R)X100.00493590586050515050495348515765046510232500,000$
3Thomas BordeleauX100.00503589576350515050505050506362020510242500,000$
4Sam PoulinX100.00575885508150515250505050505859020510252500,000$
5Artyom Levshunov (R)X100.00656077647557586550635059555257010580204500,000$
6Ian MitchellX100.00525692556851555750505261556466013550272500,000$
7John KlingbergX100.00506265576654555350505051567674023540332500,000$
TEAM AVERAGE100.0063588561706261625358555953666704758
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
1Akira Schmid100.005662627450464646465150616103530252500,000$
Scratches
TEAM AVERAGE100.00566262745046464646515061610353
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Semenko8787878787501CAN616500,000$


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
1Tyson JostRoadrunners (UTA)C8228639102151062072636818510.65%25167120.3861319351360110603354.62%168800021.0924001738
2Gustav NyquistRoadrunners (UTA)RW60364177880431042449319614.75%22128721.4511314221101012835538.82%8500021.2013000564
3Ondrej PalatRoadrunners (UTA)LW58383977-5335121972435820615.64%15128222.11134173594000310813253.24%21600031.20120101135
4Anthony ManthaRoadrunners (UTA)RW82363470-126515116772387321015.13%12182922.3141115231321014821450.71%21100000.7712003383
5Nico SturmRoadrunners (UTA)C82274269172801481782325616111.64%23138616.9128102616510131424062.43%189800101.0024000258
6David GustafssonRoadrunners (UTA)C82283462-7135301782367014111.86%14139817.06000111000072156.78%134200010.8913001314
7Philippe MyersRoadrunners (UTA)D8212445619541017565104266711.54%107165320.1746103212102201211128.57%700000.6801101356
8Zac JonesRoadrunners (UTA)D8264854-22380145978837596.82%111171620.93371026610001941038.46%1300000.6311000123
9Brandt ClarkeUtah MammothD419415015280766161245014.75%5098924.1341014308102206801100.00%100001.0101000253
10Sam MalinskiUtah MammothD4883543108039638920458.99%64113323.6234722600003533233.33%1200000.7600000223
11Cutter GauthierUtah MammothLW352220421614059691714615212.87%1292926.5731418621012652038.18%5500010.9011000622
12Akil ThomasRoadrunners (UTA)C82112031-132009310615235897.24%12110713.51000260113361150.95%100500000.5600000032
13Troy StecherRoadrunners (UTA)D31919288140283039162323.08%3671323.011341053011063000%000000.7900000131
14Matthew KesselRoadrunners (UTA)D8282028-295351105560213913.33%87152418.59325949000065000%100000.3711010011
15Joey AndersonRoadrunners (UTA)RW6751318-46030447324456.85%10100815.0600017000001055.56%5400000.3600000000
16Max JonesRoadrunners (UTA)LW325813-916086123582814.29%663719.931013500000120155.00%4000000.4100000000
17Artyom LevshunovRoadrunners (UTA)D19088-214048611070%1530215.930001200006000%000000.5300000020
18Ian MitchellRoadrunners (UTA)D254370201516124633.33%1940116.0600002000023000%000000.3500000001
19Nikita ChibrikovRoadrunners (UTA)RW452241205111431414.29%251011.3400000000000056.00%2500000.1600000010
20Nils AmanRoadrunners (UTA)C31224340771051220.00%21896.12000011000080038.89%1800000.4200000100
21Ben ChiarotUtah MammothD5123-740207831012.50%1311723.560223700008010%000000.5100000001
22Ville KoivunenRoadrunners (UTA)RW31022-816022710880%1144514.3700000000000052.94%1700000.0900000000
Team Total or Average1184297540837-2146145152214972393698175312.41%6682223818.78488413229912314711211113372256.09%668800190.751123126475255
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
1Jet GreavesUtah Mammoth45311030.9132.7326600112113910310.72711450730
2Akira SchmidRoadrunners (UTA)39121640.8415.3118204016110130110.455113751101
Team Total or Average84432670.8833.784480412822404042228251831


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Akil ThomasRoadrunners (UTA)C262000-01-02CANYes195 Lbs6 ft0NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Akira SchmidRoadrunners (UTA)G252000-05-12CHENo190 Lbs6 ft5NoNoTrade2024-11-08NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Anthony ManthaRoadrunners (UTA)RW311994-09-16CANNo234 Lbs6 ft5NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm2,000,000$200,000$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Link / NHL Link
Artyom LevshunovRoadrunners (UTA)D202005-10-28BLRYes208 Lbs6 ft2NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
David GustafssonRoadrunners (UTA)C262000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo32024-08-13FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Gustav NyquistRoadrunners (UTA)RW361989-09-01SWENo180 Lbs5 ft11NoNoFree AgentNoNo32025-08-10FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Ian MitchellRoadrunners (UTA)D271999-01-18CANNo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Joey AndersonRoadrunners (UTA)RW271998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
John KlingbergRoadrunners (UTA)D331992-08-14SWENo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-12-18FalseFalsePro & Farm500,000$50,000$0$No500,000$-----------------No--------Link / NHL Link
Matthew KesselRoadrunners (UTA)D252000-06-23USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Max JonesRoadrunners (UTA)LW281998-02-17USANo216 Lbs6 ft3NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Nico SturmRoadrunners (UTA)C301995-05-03DEUNo209 Lbs6 ft3NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Nikita ChibrikovRoadrunners (UTA)RW232003-02-16RUSYes170 Lbs5 ft10NoNoTrade2025-06-25NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Nils AmanRoadrunners (UTA)C262000-02-07SWENo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Oliver KapanenRoadrunners (UTA)C222003-07-29SWEYes194 Lbs6 ft2NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Ondrej PalatRoadrunners (UTA)LW351991-03-28CZENo194 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Philippe MyersRoadrunners (UTA)D291997-01-25CANNo219 Lbs6 ft5NoNoN/ANoNo22024-08-20FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Sam PoulinRoadrunners (UTA)RW252001-02-25CANNo227 Lbs6 ft2NoNoN/ANoNo22024-08-10FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Thomas BordeleauRoadrunners (UTA)C242002-01-03USANo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Troy StecherRoadrunners (UTA)D321994-04-07CANNo184 Lbs5 ft10NoNoFree AgentNoNo22026-01-18FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Tyson JostRoadrunners (UTA)C281998-03-14CANNo187 Lbs5 ft11NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Ville KoivunenRoadrunners (UTA)RW222003-06-13FINNo161 Lbs5 ft11NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Zac JonesRoadrunners (UTA)D252000-10-18USANo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2327.17196 Lbs6 ft12.52565,217$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ondrej PalatNico SturmGustav Nyquist40122
2Max JonesTyson JostAnthony Mantha30122
3Ondrej PalatDavid GustafssonJoey Anderson20122
4Gustav NyquistAkil ThomasVille Koivunen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Philippe MyersTroy Stecher40122
2Zac JonesMatthew Kessel30122
320122
4Philippe MyersTroy Stecher10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ondrej PalatNico SturmGustav Nyquist60122
2Max JonesTyson JostAnthony Mantha40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Philippe MyersTroy Stecher60122
2Zac JonesMatthew Kessel40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ondrej PalatGustav Nyquist60122
2Nico SturmAnthony Mantha40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Philippe MyersTroy Stecher60122
2Zac JonesMatthew Kessel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ondrej Palat60122Philippe MyersTroy Stecher60122
2Gustav Nyquist40122Zac JonesMatthew Kessel40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ondrej PalatGustav Nyquist60122
2Nico SturmAnthony Mantha40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Philippe MyersTroy Stecher60122
2Zac JonesMatthew Kessel40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ondrej PalatNico SturmGustav NyquistPhilippe MyersTroy Stecher
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ondrej PalatNico SturmGustav NyquistPhilippe MyersTroy Stecher
Extra Forwards
Normal PowerPlayPenalty Kill
Nils Aman, David Gustafsson, Akil ThomasNils Aman, David GustafssonAkil Thomas
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Zac Jones, Zac Jones
Penalty Shots
Ondrej Palat, Gustav Nyquist, Nico Sturm, Anthony Mantha, Tyson Jost
Goalie
#1 : Akira Schmid, #2 :


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
1Aces21000001761110000004221000000134-130.75071421001071109018508318598515348131027200.00%50100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
2Admirals650001003221113200010014122330000001899110.91732589000107110901818083185985153171433212113538.46%16475.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
3Americiens42100100171432200000092720100100812-450.6251730470010711090181518318598515316152609613430.77%70100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
4Barons312000009902020000046-21100000053220.3339182700107110901810083185985153782014507114.29%6266.67%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
5Barracuda422000001819-11010000036-3321000001513240.500183452001071109018128831859851539827168312216.67%7357.14%11519271056.05%1426251456.72%825142857.77%2141153317785491054551
6Broncos611031002218430003000129331100100109190.750224365001071109018192831859851531474637908225.00%14378.57%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
7Bruins412000101016-620200000311-82100001075240.500101525001071109018112831859851539536187410110.00%8275.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
8Canucks21000100770110000003211000010045-130.7507111800107110901839831859851536920933200.00%2150.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
9Fighting Pandas6320001017134321000009633110001087180.66717274411107110901816783185985153172462410820525.00%110100.00%11519271056.05%1426251456.72%825142857.77%2141153317785491054551
10Firebirds751001003731643100000211743200010016142110.786376710400107110901825783185985153232554215316637.50%20575.00%21519271056.05%1426251456.72%825142857.77%2141153317785491054551
11Griffins2100010010911000010045-11100000064230.750102030001071109018898318598515392218469333.33%40100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
12Ice Bats3110100012111211000009901000100032140.66712193100107110901896831859851531052621534125.00%7185.71%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
13Lions211000007521010000034-11100000041320.50071118001071109018718318598515370218444250.00%3166.67%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
14Lynx411000021314-1211000008712000000257-240.50013243700107110901813283185985153106331871100.00%9366.67%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
15Marlies422000001520-5211000001010021100000510-540.5001525400010711090181118318598515310121298315746.67%12650.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
16Nordiks513010002030-10201010001115-431200000915-640.40020385800107110901816183185985153241644212111327.27%20860.00%11519271056.05%1426251456.72%825142857.77%2141153317785491054551
17Quacken2110000068-2110000003121010000037-420.500610160010711090184683185985153491212375120.00%5180.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
18Rocket522000102221132100000972201000101314-160.60022386000107110901816383185985153216752311713538.46%7357.14%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
19Tomahawks2010100078-1100010006511010000013-220.50071320001071109018458318598515381271834100.00%80100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
20Wombats715010001823-531200000109140301000814-640.2861831490010711090182058318598515323170441291616.25%21480.95%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
21Wranglers211000001174110000007161010000046-220.500112031101071109018768318598515382201036500.00%4175.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
Total823429076333173107411915052001621461641151402433155164-9970.591317566883211071109018257183185985153264574849516061874926.20%1964875.51%51519271056.05%1426251456.72%825142857.77%2141153317785491054551
_Since Last GM Reset823429076333173107411915052001621461641151402433155164-9970.591317566883211071109018257183185985153264574849516061874926.20%1964875.51%51519271056.05%1426251456.72%825142857.77%2141153317785491054551
_Vs Conference53231704432203191122714903100105901526980133298101-3660.623203358561111071109018167083185985153163247732710421253628.80%1253076.00%31519271056.05%1426251456.72%825142857.77%2141153317785491054551
_Vs Division2812704300119102171463031006152914640120058508350.62511921933800107110901892383185985153873235163539621727.42%751678.67%21519271056.05%1426251456.72%825142857.77%2141153317785491054551

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8297OTL131756688325712645748495160621
All Games
GPWLOTWOTL SOWSOLGFGA
8234297633317310
Home Games
GPWLOTWOTL SOWSOLGFGA
4119155200162146
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4115142433155164
Last 10 Games
WLOTWOTL SOWSOL
350200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1874926.20%1964875.51%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
831859851531071109018
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1519271056.05%1426251456.72%825142857.77%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2141153317785491054551


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
25Firebirds3Roadrunners5WBoxScore
414Roadrunners0Wombats2LBoxScore
729Broncos5Roadrunners6WXBoxScore
1147Rocket3Roadrunners2LBoxScore
1362Roadrunners6Nordiks4WBoxScore
1569Wombats3Roadrunners2LBoxScore
1676Roadrunners2Broncos3LBoxScore
1889Roadrunners6Firebirds5WBoxScore
2099Roadrunners5Admirals3WBoxScore
21105Fighting Pandas0Roadrunners3WBoxScore
25119Roadrunners1Fighting Pandas3LBoxScore
26127Admirals2Roadrunners3WBoxScore
28134Roadrunners2Wombats1WXBoxScore
31146Firebirds6Roadrunners7WBoxScore
33157Roadrunners4Barracuda2WBoxScore
35170Admirals3Roadrunners5WBoxScore
38182Roadrunners6Broncos3WBoxScore
40191Aces2Roadrunners4WBoxScore
42199Roadrunners4Americiens5LXBoxScore
44207Roadrunners4Bruins3WXXBoxScore
46217Wranglers1Roadrunners7WBoxScore
48230Roadrunners1Tomahawks3LBoxScore
49238Broncos2Roadrunners3WXBoxScore
52251Roadrunners3Ice Bats2WXBoxScore
53261Roadrunners6Griffins4WBoxScore
54264Quacken1Roadrunners3WBoxScore
57280Americiens1Roadrunners7WBoxScore
59292Roadrunners2Nordiks7LBoxScore
61305Fighting Pandas2Roadrunners4WBoxScore
65321Lynx1Roadrunners4WBoxScore
67330Roadrunners1Nordiks4LBoxScore
69343Rocket1Roadrunners3WBoxScore
71352Roadrunners4Lions1WBoxScore
73364Rocket3Roadrunners4WBoxScore
76379Firebirds2Roadrunners5WBoxScore
79393Roadrunners1Marlies7LBoxScore
81404Roadrunners1Lynx2LXXBoxScore
82412Fighting Pandas4Roadrunners2LBoxScore
84425Roadrunners6Admirals3WBoxScore
86434Broncos2Roadrunners3WXBoxScore
89447Canucks2Roadrunners3WBoxScore
91454Roadrunners3Bruins2WBoxScore
93465Roadrunners4Lynx5LXXBoxScore
95471Roadrunners3Fighting Pandas2WXXBoxScore
97479Roadrunners5Barons3WBoxScore
98485Admirals7Roadrunners6LXBoxScore
100500Wombats2Roadrunners0LBoxScore
102513Roadrunners4Wranglers6LBoxScore
104521Americiens1Roadrunners2WBoxScore
106533Roadrunners2Broncos3LXBoxScore
108544Roadrunners4Fighting Pandas2WBoxScore
109550Wombats4Roadrunners8WBoxScore
112568Lynx6Roadrunners4LBoxScore
115582Firebirds6Roadrunners4LBoxScore
119602Lions4Roadrunners3LBoxScore
121612Roadrunners4Canucks5LXBoxScore
123623Tomahawks5Roadrunners6WXBoxScore
126641Roadrunners7Admirals3WBoxScore
127648Barracuda6Roadrunners3LBoxScore
130658Roadrunners4Marlies3WBoxScore
132669Roadrunners7Rocket9LBoxScore
133675Bruins6Roadrunners1LBoxScore
135688Roadrunners3Quacken7LBoxScore
137695Roadrunners3Aces4LXXBoxScore
138699Ice Bats4Roadrunners1LBoxScore
141716Nordiks6Roadrunners7WXBoxScore
143728Roadrunners6Rocket5WXXBoxScore
145732Roadrunners4Americiens7LBoxScore
146741Bruins5Roadrunners2LBoxScore
149758Marlies7Roadrunners4LBoxScore
152778Barons2Roadrunners1LBoxScore
153783Roadrunners8Barracuda5WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155790Roadrunners6Firebirds4WBoxScore
158806Nordiks9Roadrunners4LBoxScore
160815Roadrunners3Wombats5LBoxScore
163828Ice Bats5Roadrunners8WBoxScore
164835Roadrunners4Firebirds5LXBoxScore
168851Barons4Roadrunners3LBoxScore
169857Roadrunners3Barracuda6LBoxScore
171864Roadrunners3Wombats6LBoxScore
173874Marlies3Roadrunners6WBoxScore
178897Griffins5Roadrunners4LXBoxScore



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

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,863,631$ 1,300,000$ 1,300,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,300,000$ 1,340,270$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 10,000$ 0$




Roadrunners 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

Roadrunners Goalies Stat Leaders (Regular Season)

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

Roadrunners 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

Roadrunners 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

Roadrunners Goalies Stat Leaders (Play-Off)

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