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Roadrunners
GP: 59 | W: 31 | L: 19 | OTL: 9 | P: 71
GF: 246 | GA: 229 | PP%: 23.35% | PK%: 81.82%
GM : Zachlou Gauvin | Morale : 43 | Team Overall : 65
Next Games #765 vs Admirals

Game Center
Roadrunners
31-19-9, 71pts
1
5 Griffins
26-26-4, 56pts
Team Stats
W1StreakW1
17-7-5Home Record14-13-2
14-12-4Home Record12-13-2
5-3-2Last 10 Games3-6-1
4.17Goals Per Game3.75
3.88Goals Against Per Game3.93
23.35%Power Play Percentage16.08%
81.82%Penalty Kill Percentage79.62%
Icehogs
31-23-4, 66pts
3
4 Roadrunners
31-19-9, 71pts
Team Stats
L2StreakW1
18-9-2Home Record17-7-5
13-14-2Home Record14-12-4
2-8-0Last 10 Games5-3-2
4.14Goals Per Game4.17
4.05Goals Against Per Game3.88
26.80%Power Play Percentage23.35%
72.97%Penalty Kill Percentage81.82%
Admirals
27-25-6, 60pts
Day 122
Roadrunners
31-19-9, 71pts
Team Stats
OTL1StreakW1
14-11-4Home Record17-7-5
13-14-2Away Record14-12-4
2-7-1Last 10 Games5-3-2
4.31Goals Per Game4.17
4.48Goals Against Per Game4.17
24.41%Power Play Percentage23.35%
77.53%Penalty Kill Percentage81.82%
Roadrunners
31-19-9, 71pts
Day 123
Admirals
27-25-6, 60pts
Team Stats
W1StreakOTL1
17-7-5Home Record14-11-4
14-12-4Away Record13-14-2
5-3-2Last 10 Games2-7-1
4.17Goals Per Game4.31
3.88Goals Against Per Game4.31
23.35%Power Play Percentage24.41%
81.82%Penalty Kill Percentage77.53%
Marlies
32-21-6, 70pts
Day 126
Roadrunners
31-19-9, 71pts
Team Stats
W1StreakW1
16-11-2Home Record17-7-5
16-10-4Away Record14-12-4
7-2-1Last 10 Games5-3-2
4.69Goals Per Game4.17
4.17Goals Against Per Game4.17
20.56%Power Play Percentage23.35%
79.19%Penalty Kill Percentage81.82%
Team Leaders
Goals
Rem Pitlick
42
Assists
Rem Pitlick
44
Points
Rem Pitlick
86
Plus/Minus
Josiah Slavin
14
Wins
Zachary Fucale
18
Save Percentage
Zachary Fucale
0.881

Team Stats
Goals For
246
4.17 GFG
Shots For
2030
34.41 Avg
Power Play Percentage
23.3%
53 GF
Offensive Zone Start
36.9%
Goals Against
229
3.88 GAA
Shots Against
1883
31.92 Avg
Penalty Kill Percentage
81.8%%
38 GA
Defensive Zone Start
36.4%
Team Info

General ManagerZachlou Gauvin
CoachKevin Dineen
DivisionThayer-Tutt
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,785
Season Tickets300


Roster Info

Pro Team30
Farm Team19
Contract Limit49 / 250
Prospects0


Filter Tips
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5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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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
1Lucas Wallmarkk (R)X100.007938787673797580758272727260524049740241950,000$
2Rem Pitlick (R)X100.007229748575797184767471678158544955730232900,000$
3David KampfX100.006743876972747274737376646951553858700251900,000$
4Laurent DauphinX100.007242806968677374677469577049503258680251750,000$
5A.J. Greer (R)X100.006643717772667370696568636354483459670241400,000$
6Brett Murray (R)X100.008140717682607072556573625645464758670222500,000$
7Oliver Wahlstrom (R)X100.006537826077747070746877527142446858670203700,000$
8Anthony Angello (R)X100.005041847171787058706767626048483358650242500,000$
9Josiah Slavin (R)X100.006338776068746466736774445748484658640223500,000$
10Cooper Marody (R)X100.004840757056636567778162445248463343630241400,000$
11Benoit-Olivier Groulx (R)X100.006445776268606564666164546142425143610203500,000$
12Fabian Zetterlund (R)X100.005040756168696260595472486343434843600212500,000$
13Arsen Khisamutdinov (R)X100.005930686457666266576059547249493858600221500,000$
14Alex Beaucage (R)X100.007743586076517059526963485041416758590191500,000$
15David Gustafsson (R)X100.005538736551575858747059455342425643580201500,000$
16Rinat ValievX100.007834847676747176596964766871543930730251950,000$
17Mikko LehtonenX100.007541786860737674587374656467543442700261800,000$
18Riley Stillman (R)X100.007342737368616962516762715650464655670222500,000$
19Victor Berglund (R)X100.006931766870615556426242774145444934640213500,000$
20Cam York (R)X100.005234757545516775317749694841417159620191500,000$
21Kaedan Korczak (R)X100.005936775760675857305542704141416858600191500,000$
22Tyler Kleven (R)X100.007438575765664649315456634640406925590182500,000$
23Danil Zhuravlyov (R)X100.005627645849554860365250594844424518540201500,000$
Scratches
1Morgan KlimchukX51.887632787873787475707775777869573447740251950,000$
2Matt Kiersted (R)X100.007346747672636466576555716056474544680222500,000$
3Ty Smith (R)X100.005628747662596879437656655044435835640204500,000$
TEAM AVERAGE98.15663875696766666759686462605047484865
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Zachary Fucale98.00757662737577767881776558523666740251950,000$
2Kevin Lankinen100.00727273726775647573696046464872690251900,000$
Scratches
1Zachary Sawchenko100.00665872625867735250778047494220620233500,000$
2Jacob Ingham100.00745160637254495961546142424920590201500,000$
TEAM AVERAGE99.5072646768686866666669674847444566
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can522500,000$


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team 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
1Rem PitlickRoadrunners (Uta)RW594244862535105642717116315.50%24121920.6791322371870004617340.98%1225018011.4112010864
2Lucas WallmarkkRoadrunners (Uta)C44244064-816070110154438515.58%29101623.10613192114810131383051.28%15292726001.2634000272
3Morgan KlimchukRoadrunners (Uta)LW50233962032077781704311613.53%26112522.52410141716100021434142.48%1133722001.1004000424
4David KampfRoadrunners (Uta)C5919426198071861596411511.95%20108418.3841014211570005952049.23%10342414001.1200000424
5Brett MurrayRoadrunners (Uta)LW59242145-1548010645163619114.72%2387314.816612131010001171145.95%373112001.0300000331
6A.J. GreerRoadrunners (Uta)LW59202343435585621635511012.27%3089315.14671314740005873164.52%313614000.9600001013
7Laurent DauphinRoadrunners (Uta)C59192140-81605058139529113.67%1677513.144157360002403144.39%4192113001.0300000213
8Oliver WahlstromRoadrunners (Uta)RW59162036-360765588385818.18%2493115.78671312150000081150.00%361415000.7700000111
9Riley StillmanRoadrunners (Uta)D59430341135589896729305.97%54125121.20156101560002137000%02125000.5401010000
10Mikko LehtonenRoadrunners (Uta)D4571825-334077908641348.14%54119026.45257161480001143210%02038000.4200000013
11Josiah SlavinRoadrunners (Uta)LW591113241460401995326011.58%84978.4400000000001118.18%11186000.9600000040
12Matt KierstedRoadrunners (Uta)D4851722025573677016267.14%55112223.40358141540001127100%0529000.3900100001
13Arsen KhisamutdinovRoadrunners (Uta)RW591011214200484555153118.18%1464310.9100000000000013.33%15413000.6500000001
14Anthony AngelloRoadrunners (Uta)C59891762019449324448.60%185379.10000020001381150.63%2391611000.6300000002
15Ty SmithRoadrunners (Uta)D42113143220730243144.17%2448811.62123239000228000%049000.5700000020
16Victor BerglundRoadrunners (Uta)D4711011-71804651234124.35%3074915.94000171000170000%0434000.2900000000
17Cam YorkRoadrunners (Uta)D591910-415518554415102.27%3474512.64011428000038000%0821100.2700001000
18Alex BeaucageRoadrunners (Uta)RW5927931807518323166.25%84467.5600008000000055.56%956000.4000000000
19Rinat ValievRoadrunners (Uta)D28268-46037557124242.82%3572725.9711210900007114000%01225000.2200000000
20Kaedan KorczakRoadrunners (Uta)D5915681001534268173.85%255339.0300004000117000%0120000.2300000000
21Cooper MarodyRoadrunners (Uta)C44325300622551512.00%21272.9000014000000053.13%3242000.7800000000
22Tyler KlevenRoadrunners (Uta)D27022012014133220%72037.5500002000010000%003000.2000000000
23Danil ZhuravlyovRoadrunners (Uta)D1911211751340025.00%2733.850000100000000%002000.5500000000
24David GustafssonRoadrunners (Uta)LW44011000000010%0170.40000000110130045.45%1100001.1400000000
25Benoit-Olivier GroulxRoadrunners (Uta)C44000100630020%0551.2700008000040033.33%60100000000000
26Fabian ZetterlundRoadrunners (Uta)LW44000-200565340%21262.87000030002380050.00%142200000000000
Team Total or Average12932444046481545430121611822030651117112.02%5641745613.5053861392001744112401376291149.02%3658364381110.74411122243029
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Zachary FucaleRoadrunners (Uta)37181250.8813.811936001231031482300.50083515111
2Kevin LankinenRoadrunners (Uta)3113720.8793.7715740099815398310.66732435111
3Jacob InghamRoadrunners (Uta)10010.9053.87310022112000001000
4Zachary SawchenkoRoadrunners (Uta)10010.8673.5334002158000008000
Team Total or Average70311990.8803.79357600226188290061115959222


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 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 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
A.J. GreerRoadrunners (Uta)LW241996-01-01CANYes210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm400,000$118,343$0$0$No---------------------------Link
Alex BeaucageRoadrunners (Uta)RW192001-01-01CANYes192 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Anthony AngelloRoadrunners (Uta)C241996-01-01USAYes210 Lbs6 ft5NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Arsen KhisamutdinovRoadrunners (Uta)RW221998-01-01RUSYes203 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Benoit-Olivier GroulxRoadrunners (Uta)C202000-01-01FRAYes200 Lbs6 ft2NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Brett MurrayRoadrunners (Uta)LW221998-01-01CANYes216 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Cam YorkRoadrunners (Uta)D192001-01-01USAYes194 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Cooper MarodyRoadrunners (Uta)C241996-01-01USAYes184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm400,000$118,343$0$0$No---------------------------Link
Danil ZhuravlyovRoadrunners (Uta)D202000-01-01RUSYes163 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
David GustafssonRoadrunners (Uta)LW202000-01-01SWEYes196 Lbs6 ft2NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
David KampfRoadrunners (Uta)C251995-01-01CZENo188 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Link
Fabian ZetterlundRoadrunners (Uta)LW211999-01-01SWEYes220 Lbs5 ft11NoNoFree AgentNoNo22025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Jacob InghamRoadrunners (Uta)G202000-01-01CANNo205 Lbs6 ft5NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Josiah SlavinRoadrunners (Uta)LW221998-01-01USAYes189 Lbs6 ft3NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No600,000$700,000$-------600,000$700,000$-------NoNo-------Link
Kaedan KorczakRoadrunners (Uta)D192001-01-01CANYes201 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Kevin LankinenRoadrunners (Uta)G251995-01-01FINNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Link
Laurent DauphinRoadrunners (Uta)C251995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$221,893$0$0$No---------------------------Link
Lucas WallmarkkRoadrunners (Uta)C241996-01-01SWEYes178 Lbs6 ft0NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Matt KierstedRoadrunners (Uta)D221998-01-01USAYes184 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Mikko LehtonenRoadrunners (Uta)D261994-01-01FINNo196 Lbs6 ft0NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm800,000$236,686$0$0$No---------------------------Link
Morgan Klimchuk (Out of Payroll)Roadrunners (Uta)LW251995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$Yes---------------------------Link
Oliver WahlstromRoadrunners (Uta)RW202000-01-01USAYes204 Lbs6 ft2NoNoFree AgentNoNo32025-10-06FalseFalsePro & Farm700,000$207,101$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Link
Rem PitlickRoadrunners (Uta)RW231997-01-01USAYes196 Lbs5 ft11NoNoFree AgentNoNo22025-10-06FalseFalsePro & Farm900,000$266,272$0$0$No950,000$--------950,000$--------No--------Link
Riley StillmanRoadrunners (Uta)D221998-01-01USAYes196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Rinat ValievRoadrunners (Uta)D251995-01-01RUSNo185 Lbs6 ft1NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Ty SmithRoadrunners (Uta)D202000-01-01CANYes180 Lbs5 ft11NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm500,000$147,929$0$0$No600,000$700,000$800,000$------600,000$700,000$800,000$------NoNoNo------Link
Tyler KlevenRoadrunners (Uta)D182002-01-01USAYes210 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Victor BerglundRoadrunners (Uta)D211999-01-01SWEYes183 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Zachary FucaleRoadrunners (Uta)G251995-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-10-06FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Zachary SawchenkoRoadrunners (Uta)G231997-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$147,929$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3022.17194 Lbs6 ft11.67618,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1A.J. GreerLucas WallmarkkRem Pitlick40122
2Brett MurrayDavid KampfOliver Wahlstrom30122
3Josiah SlavinLaurent DauphinArsen Khisamutdinov20122
4Fabian ZetterlundAnthony AngelloAlex Beaucage10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievMikko Lehtonen40122
2Riley StillmanVictor Berglund30122
3Cam YorkKaedan Korczak20122
4Tyler KlevenDanil Zhuravlyov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1A.J. GreerLucas WallmarkkRem Pitlick60122
2Brett MurrayDavid KampfOliver Wahlstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievMikko Lehtonen60122
2Riley StillmanVictor Berglund40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lucas WallmarkkA.J. Greer60122
2David KampfBrett Murray40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievMikko Lehtonen60122
2Riley StillmanVictor Berglund40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Lucas Wallmarkk60122Rinat ValievMikko Lehtonen60122
2David Kampf40122Riley StillmanVictor Berglund40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lucas WallmarkkA.J. Greer60122
2David KampfBrett Murray40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rinat ValievMikko Lehtonen60122
2Riley StillmanVictor Berglund40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
A.J. GreerLucas WallmarkkRem PitlickRinat ValievMikko Lehtonen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
A.J. GreerLucas WallmarkkRem PitlickRinat ValievMikko Lehtonen
Extra Forwards
Normal PowerPlayPenalty Kill
Oliver Wahlstrom, A.J. Greer, Brett MurrayOliver Wahlstrom, A.J. GreerOliver Wahlstrom
Extra Defensemen
Normal PowerPlayPenalty Kill
Kaedan Korczak, Tyler Kleven, Danil ZhuravlyovKaedan KorczakKaedan Korczak, Tyler Kleven
Penalty Shots
Lucas Wallmarkk, Rem Pitlick, David Kampf, Laurent Dauphin, Oliver Wahlstrom
Goalie
#1 : Zachary Fucale, #2 : Kevin Lankinen
Custom OT Lines Forwards
Lucas Wallmarkk, Rem Pitlick, David Kampf, Laurent Dauphin, Oliver Wahlstrom, A.J. Greer, Brett Murray, Anthony Angello, Josiah Slavin, Cooper Marody
Custom OT Lines Defensemen
Rinat Valiev, Mikko Lehtonen, Riley Stillman, Victor Berglund, Cam York


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
1Admirals210000101073110000004221000001065141.0001016260067809387965469465834651863810440.00%30100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
2Americans31200000141312110000011921010000034-120.333142539006780938936546946583410324226712325.00%110100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
3Barracuda220000001266110000006241100000064241.0001220320067809386565469465834811428367228.57%14471.43%0652133548.84%665131950.42%47696849.17%127473412525511052520
4Bears21000100761210001007610000000000030.7507101700678093870654694658345319840400.00%4175.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
5Canucks412000101322-9311000101113-21010000029-740.5001322350067809381486546946583412649327517317.65%11463.64%0652133548.84%665131950.42%47696849.17%127473412525511052520
6Checkers21100000990110000006421010000035-220.50091625106780938836546946583449154349111.11%20100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
7Comets21100000880211000008800000000000020.500812200067809387465469465834562310434125.00%5260.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
8Condors21001000624110000004131000100021141.0006814006780938686546946583448162437900.00%120100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
9Crunch11000000532000000000001100000053221.000581300678093840654694658343092163133.33%10100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
10Eagles11000000523000000000001100000052321.0005914006780938356546946583431106183133.33%3233.33%0652133548.84%665131950.42%47696849.17%127473412525511052520
11Firebirds413000001522-720200000511-6211000001011-120.2501522370067809381316546946583413831468915320.00%23769.57%0652133548.84%665131950.42%47696849.17%127473412525511052520
12Griffins2110000068-2110000005321010000015-420.50069150067809385665469465834721920351000.00%10280.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
13Gulls2110000056-1110000003211010000024-220.50057120067809386465469465834562829492150.00%80100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
14Icehogs320000011284220000009451000000134-150.83312183000678093898654694658348925145611218.18%7271.43%0652133548.84%665131950.42%47696849.17%127473412525511052520
15Islander31000200171701000010045-1210001001312140.6671730470067809381026546946583410629246410550.00%12283.33%0652133548.84%665131950.42%47696849.17%127473412525511052520
16Little Stars30101001912-31000000145-12010100057-230.500915240067809381116546946583410423184715213.33%9188.89%0652133548.84%665131950.42%47696849.17%127473412525511052520
17Marlies11000000321000000000001100000032121.00034700678093832654694658343113825500.00%40100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
18Moose2010100078-11010000035-21000100043120.500712190067809387165469465834642412418337.50%70100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
19Penguins2020000059-41010000013-21010000046-200.0005813006780938616546946583463181441600.00%7185.71%0652133548.84%665131950.42%47696849.17%127473412525511052520
20Punishers411002001615111000000514301002001114-340.5001631470067809381336546946583412735287915320.00%140100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
21Rockets22000000166101100000064211000000102841.0001626420067809387765469465834601626478562.50%8275.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
22Senators302001001319-61000010056-120200000813-510.167132437006780938986546946583410935327011436.36%16662.50%1652133548.84%665131950.42%47696849.17%127473412525511052520
23Thunderbirds430010002091121001000105522000000104681.00020315100678093813065469465834135292210920525.00%11190.91%0652133548.84%665131950.42%47696849.17%127473412525511052520
24Wolfpack11000000725000000000001100000072521.000712190067809384265469465834251011163266.67%30100.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
25Wranglers2010010068-21000010034-11010000034-110.25069150067809386965469465834623284410220.00%4175.00%0652133548.84%665131950.42%47696849.17%127473412525511052520
Total5925190472224622917291570141112010317301012033111261260710.602246404650106780938203065469465834188356445412162275323.35%2093881.82%1652133548.84%665131950.42%47696849.17%127473412525511052520
_Since Last GM Reset5925190472224622917291570141112010317301012033111261260710.602246404650106780938203065469465834188356445412162275323.35%2093881.82%1652133548.84%665131950.42%47696849.17%127473412525511052520
_Vs Conference351290462214413861893013117762151736033116776-9440.62914424238600678093812016546946583411293262427231423423.94%1171785.47%1652133548.84%665131950.42%47696849.17%127473412525511052520
_Vs Division1344012114853-57420001028235602012012030-10150.57748831310067809384506546946583440613386251511121.57%39684.62%0652133548.84%665131950.42%47696849.17%127473412525511052520

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5971W124640465020301883564454121610
All Games
GPWLOTWOTL SOWSOLGFGA
5925194722246229
Home Games
GPWLOTWOTL SOWSOLGFGA
291571411120103
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3010123311126126
Last 10 Games
WLOTWOTL SOWSOL
431200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2275323.35%2093881.82%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
654694658346780938
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
652133548.84%665131950.42%47696849.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
127473412525511052520


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
18Moose5Roadrunners3LBox score
428Roadrunners5Punishers6LBox score
637Canucks3Roadrunners4WXXBox score
856Roadrunners3Icehogs4LXXBox score
963Icehogs1Roadrunners5WBox score
1282Punishers1Roadrunners5WBox score
1491Roadrunners2Canucks9LBox score
16103Roadrunners4Moose3WXBox score
18111Americans6Roadrunners4LBox score
21134Canucks7Roadrunners3LBox score
22142Roadrunners1Punishers2LXBox score
25160Admirals2Roadrunners4WBox score
26168Roadrunners1Little Stars4LBox score
29182Roadrunners8Islander6WBox score
31191Firebirds6Roadrunners2LBox score
33203Roadrunners6Admirals5WXXBox score
35209Roadrunners3Firebirds7LBox score
36221Roadrunners4Little Stars3WXBox score
38232Comets7Roadrunners3LBox score
41248Americans3Roadrunners7WBox score
43259Roadrunners5Eagles2WBox score
45272Roadrunners6Barracuda4WBox score
46282Condors1Roadrunners4WBox score
49300Griffins3Roadrunners5WBox score
52319Gulls2Roadrunners3WBox score
54327Roadrunners3Marlies2WBox score
56343Roadrunners2Condors1WXBox score
57352Islander5Roadrunners4LXBox score
59365Roadrunners7Firebirds4WBox score
61375Roadrunners3Wranglers4LR1Box score
62385Bears2Roadrunners4WBox score
65404Roadrunners6Thunderbirds2WBox score
66411Checkers4Roadrunners6WBox score
68428Roadrunners3Checkers5LBox score
70438Firebirds5Roadrunners3LBox score
72452Roadrunners5Punishers6LXBox score
73462Wranglers4Roadrunners3LXR1Box score
76474Roadrunners5Crunch3WBox score
78486Roadrunners10Rockets2WR1Box score
79492Little Stars5Roadrunners4LXXBox score
82514Barracuda2Roadrunners6WBox score
84528Roadrunners3Senators6LBox score
87541Comets1Roadrunners5WBox score
89557Roadrunners4Thunderbirds2WBox score
90567Bears4Roadrunners3LXBox score
93583Thunderbirds1Roadrunners5WBox score
95596Roadrunners4Penguins6LBox score
97611Penguins3Roadrunners1LBox score
99624Roadrunners3Americans4LBox score
101635Rockets4Roadrunners6WR1Box score
102641Roadrunners5Senators7LBox score
104659Roadrunners7Wolfpack2WBox score
105668Roadrunners2Gulls4LBox score
107674Thunderbirds4Roadrunners5WXBox score
110695Roadrunners5Islander6LXBox score
111701Canucks3Roadrunners4WBox score
115721Senators6Roadrunners5LXBox score
117735Roadrunners1Griffins5LBox score
119749Icehogs3Roadrunners4WBox score
122765Admirals-Roadrunners-
123776Roadrunners-Admirals-
126794Marlies-Roadrunners-
129810Roadrunners-Condors-
131821Moose-Roadrunners-
133837Roadrunners-Bears-
135847Moose-Roadrunners-
136857Roadrunners-Canucks-
Trade Deadline --- Trades can’t be done after this day is simulated!
139873Punishers-Roadrunners-
141889Roadrunners-Comets-
143899Crunch-Roadrunners-
147917Roadrunners-Icehogs-
148929Icehogs-Roadrunners-
150941Roadrunners-Icehogs-
152952Roadrunners-Canucks-
153958Wolfpack-Roadrunners-
157980Eagles-Roadrunners-
1601000Punishers-Roadrunners-
1621010Roadrunners-Moose-
1651027Crunch-Roadrunners-
1661036Roadrunners-Moose-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance53,47827,274
Attendance PCT92.20%94.05%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 2785 - 92.82% 175,039$5,076,141$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,590,589$ 1,760,000$ 1,760,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,414$ 1,231,373$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,925,433$ 50 13,373$ 668,650$




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