Login

Roadrunners
GP: 71 | W: 37 | L: 27 | OTL: 7 | P: 81
GF: 250 | GA: 219 | PP%: 32.68% | PK%: 72.25%
GM : Cody Friesen | Morale : 55 | Team Overall : 60
Next Games #1097 vs Marlies
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Marlies
39-27-4, 82pts
1
FINAL
8 Roadrunners
37-27-7, 81pts
Team Stats
W1StreakW4
23-10-2Home Record20-13-2
16-17-2Home Record17-14-5
5-5-0Last 10 Games5-4-1
3.93Goals Per Game3.52
3.73Goals Against Per Game3.08
25.24%Power Play Percentage32.68%
62.72%Penalty Kill Percentage72.25%
Crunch
32-29-8, 72pts
3
FINAL
5 Roadrunners
37-27-7, 81pts
Team Stats
L3StreakW4
18-15-2Home Record20-13-2
14-14-6Home Record17-14-5
4-6-0Last 10 Games5-4-1
2.78Goals Per Game3.52
3.33Goals Against Per Game3.08
29.09%Power Play Percentage32.68%
70.72%Penalty Kill Percentage72.25%
Roadrunners
37-27-7, 81pts
Day 87
Marlies
39-27-4, 82pts
Team Stats
W4StreakW1
20-13-2Home Record23-10-2
17-14-5Away Record16-17-2
5-4-1Last 10 Games5-5-0
3.52Goals Per Game3.93
3.08Goals Against Per Game3.93
32.68%Power Play Percentage25.24%
72.25%Penalty Kill Percentage62.72%
Admirals
33-32-4, 70pts
Day 88
Roadrunners
37-27-7, 81pts
Team Stats
OTL1StreakW4
20-13-2Home Record20-13-2
13-19-2Away Record17-14-5
2-7-1Last 10 Games5-4-1
3.52Goals Per Game3.52
3.83Goals Against Per Game3.52
30.35%Power Play Percentage32.68%
68.50%Penalty Kill Percentage72.25%
Roadrunners
37-27-7, 81pts
Day 89
Marlies
39-27-4, 82pts
Team Stats
W4StreakW1
20-13-2Home Record23-10-2
17-14-5Away Record16-17-2
5-4-1Last 10 Games5-5-0
3.52Goals Per Game3.93
3.08Goals Against Per Game3.93
32.68%Power Play Percentage25.24%
72.25%Penalty Kill Percentage62.72%
Team Leaders
Goals
Linus Weissbach
34
Assists
Peter Abbandonato
48
Points
Peter Abbandonato
81
Robbie RussoPlus/Minus
Robbie Russo
27
Wins
Karel Vejmelka
32
Save Percentage
Magnus Hellberg
0.911

Team Stats
Goals For
250
3.52 GFG
Shots For
1901
26.77 Avg
Power Play Percentage
32.7%
67 GF
Offensive Zone Start
33.4%
Goals Against
219
3.08 GAA
Shots Against
1948
27.44 Avg
Penalty Kill Percentage
72.2%%
58 GA
Defensive Zone Start
39.7%
Team Info

General ManagerCody Friesen
CoachBrad Tapper
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,935
Season Tickets1,500


Roster Info

Pro Team23
Farm Team34
Contract Limit57 / 100
Prospects134


Team History

This Season37-27-7 (81PTS)
History151-144-45 (0.444%)
Playoff Appearances3
Playoff Record (W-L)0-0
Stanley Cup0


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
1Arshdeep Bains (R)X100.0074688767707984625062596254464661866202232,170,000$
2Peter AbbandonatoX99.0077699465696364657867606453474660816202531,076,000$
3Linus Weissbach (R)XX100.006558796358798465506266585747465976610252818,877$
4Owen SillingerX100.006865776765707361746059595347465782600263860,000$
5Danila Klimovich (R)X100.007675776977768156504859615646465882600212891,264$
6Anton BlidhXX100.0078449169734666583351566325646356725902911,193,000$
7Max Willman (R)X100.007672866972636557505457625346465966590292796,776$
8Tyler Madden (R)X100.006757956859727658735063596046466167590241899,464$
9Tyler SikuraXX100.007368877068646657725952614846465763590313900,000$
10Anthony AngelloXX100.0070756466756771546946575955484857635702831,068,000$
11Robbie RussoX100.0075689063687987552550466440484753856203131,078,000$
12Luke WitkowskiXX100.0079797271795963494538446637595849806103331,067,000$
13Billy Sweezey (R)X100.007579646379768449254239603747464969600282925,000$
14Olli JuoleviX100.0076758274755252522549416238494952695902521,250,000$
15Drew Helleson (R)X100.007677787078586149254243613946465161580222874,255$
16Mitch ReinkeX100.007366956366555652255139583746465146560283900,000$
17Cameron GaunceX100.0070717067715558462536405938585848555603311,200,000$
18Devante StephensX100.006971686771555845253440573946464872550273906,000$
Scratches
1Turner Elson (R)X100.0074688565688490634961626355474660756303111,068,000$
2Henrik Rybinski (R)XX100.007265886565636652655347604544445620550223750,000$
3Samuel Helenius (R)X100.007779736679555750634945624344445420540212801,818$
TEAM AVERAGE99.95736981677165705547515161464848556659
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
1Karel Vejmelka100.00688177817270887371687558586995720272813,317$
2Brian Elliott100.006152558066577563666179747662836503811,100,000$
Scratches
TEAM AVERAGE100.0065676681696482686965776667668969
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brad Tapper37675960473551CAN421750,000$


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
1Peter AbbandonatoRoadrunners (ARZ)C70334881195240761151947211517.01%23115516.51122032391262028544255.89%13763212131.4011224663
2Linus WeissbachRoadrunners (ARZ)LW/RW71344781117230931212519115313.55%39156822.09101727461580115870142.98%1145824011.0313051534
3Turner ElsonRoadrunners (ARZ)LW66323769-154301291292245611614.29%50154323.391012224613812381215139.00%4413630020.8915204555
4Owen SillingerRoadrunners (ARZ)C71303565115230911211725911817.44%23134318.92101222351270001285156.66%5932521020.9711132345
5Arshdeep BainsRoadrunners (ARZ)LW7024355954535781121654610514.55%37118816.97109192310113451335128.30%534717000.9904214542
6Robbie RussoRoadrunners (ARZ)D7093039276565801109832409.18%79178025.445712241540111166400%01547000.4400742101
7Anton BlidhRoadrunners (ARZ)LW/RW681622382406880107336614.95%22106615.690333122024714040.00%452814020.7101000402
8Luke WitkowskiRoadrunners (ARZ)RW/D71626321120411011812911444465.26%99175524.72410141315700061310134.55%551849000.3627787004
9Danila KlimovichRoadrunners (ARZ)RW7014152971014510193104346413.46%13108415.5014511101000080343.48%462014000.5300522103
10Max WillmanRoadrunners (ARZ)LW671513281495727199286815.15%1587013.000112140111312034.29%35247000.6400100222
11Tyler SikuraRoadrunners (ARZ)C/LW59101525101410537694325510.64%1277213.0900018000130054.81%3121511000.6500101022
12Tyler MaddenRoadrunners (ARZ)C64111021320205043192625.58%144837.552132220000321048.66%372817000.8700000051
13Billy SweezeyRoadrunners (ARZ)D710212101968090994423300%75149721.080996121011198000%01129000.2800169001
14Olli JuoleviRoadrunners (ARZ)D593121511504058605217225.77%45116519.753039101000398110%01834000.2600341000
15Anthony AngelloRoadrunners (ARZ)C/RW56448-328037331331430.77%34207.5100002000041150.79%12641000.3800000110
16Mitch ReinkeRoadrunners (ARZ)D64156-800153013487.69%124046.32011117000013000%064000.3000000000
17Drew HellesonRoadrunners (ARZ)D64156-112410242918875.56%324577.14011331000028000%0611000.2600110000
18Sheldon RempalCoyotesLW/RW15145-5552324316123.23%729619.78000120000010050.00%279000.3400010010
19Devante StephensRoadrunners (ARZ)D67055-244104448301180%44100114.94011211000080000%0418000.1000002000
20Cole CasselsCoyotesC12112-300191075314.29%116013.38011020000131050.94%5335000.2500000010
21Cameron GaunceRoadrunners (ARZ)D58022-2463034371310150%2580713.9200011500000000%0213000.0500222000
22Samuel HeleniusRoadrunners (ARZ)C71011209530233.33%1446.36000020001300100.00%201000.4500000000
23Henrik RybinskiRoadrunners (ARZ)C/RW10011000432100%0535.38000000000000100.00%112000.3700000000
24Connor FordCoyotesRW1000000011000%11010.200000000000000%00000000000000
25Nick AbruzzeseCoyotesC/LW15000-3008155130%11097.3100001000050059.09%220000000000000
26Sam AnasCoyotesC/RW1000020131000%11010.250000100000000%21000000000000
27Spencer SmallmanCoyotesRW16000-200200010%0211.330000000000000%00000000000000
28Blake MurrayCoyotesC1000000000000%000.070000000000000%00000000000000
29Chaz LuciusCoyotesC1000000001100%11414.420000300000000%30200000000000
30Xavier ParentCoyotesC/LW1000-100122010%11212.630000000000000%00000000000000
Team Total or Average1336246393639911071575134816061901636109812.94%6762110015.796710917626814576915451219331251.19%36533893921100.61622353941333435
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
1Karel VejmelkaRoadrunners (ARZ)55321750.8882.853264221551388711330.87516550211
2Magnus HellbergCoyotes124710.9112.777150033369230010.6005124300
3Brian ElliottRoadrunners (ARZ)61310.8993.5430500181791050000455000
4Coyote GoalieCoyotes10000.25025.7114006820000012000
Team Total or Average74372770.8912.964299222121944104834217171511


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 Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Anthony AngelloRoadrunners (ARZ)C/RW281996-03-06No196 Lbs6 ft4NoNoNoNo3Pro & Farm1,068,000$269,322$1,068,000$269,322$0$0$No1,068,000$1,068,000$Link / NHL Link
Anton BlidhRoadrunners (ARZ)LW/RW291995-03-13No201 Lbs6 ft0NoNoNoNo1Pro & Farm1,193,000$300,843$1,193,000$300,843$0$0$NoLink / NHL Link
Arshdeep BainsRoadrunners (ARZ)LW222001-09-01Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm2,170,000$547,217$2,170,000$547,217$0$0$No2,170,000$2,170,000$Link
Billy SweezeyRoadrunners (ARZ)D281996-02-06Yes205 Lbs6 ft2NoNoNoNo2Pro & Farm925,000$233,261$925,000$233,261$0$0$No925,000$Link
Brian ElliottRoadrunners (ARZ)G381985-04-09No209 Lbs6 ft2NoNoNoNo1Pro & Farm1,100,000$277,391$1,100,000$277,391$0$0$NoLink / NHL Link
Cameron GaunceRoadrunners (ARZ)D331990-03-19No194 Lbs6 ft1NoNoNoNo1Pro & Farm1,200,000$302,609$1,200,000$302,609$0$0$NoLink / NHL Link
Danila KlimovichRoadrunners (ARZ)RW212003-01-09Yes202 Lbs6 ft2NoNoNoNo2Pro & Farm891,264$224,754$891,264$224,754$0$0$No891,264$Link
Devante StephensRoadrunners (ARZ)D271997-01-02No185 Lbs6 ft3NoNoNoNo3Pro & Farm906,000$228,470$906,000$228,470$0$0$No906,000$906,000$Link
Drew HellesonRoadrunners (ARZ)D222001-03-26Yes205 Lbs6 ft3NoNoNoNo2Pro & Farm874,255$220,464$874,255$220,464$0$0$No874,255$Link
Henrik RybinskiRoadrunners (ARZ)C/RW222001-06-26Yes172 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$189,130$750,000$189,130$0$0$No750,000$750,000$
Karel VejmelkaRoadrunners (ARZ)G271996-05-25No203 Lbs6 ft3NoNoNoNo2Pro & Farm813,317$205,097$813,317$205,097$0$0$No813,317$Link
Linus WeissbachRoadrunners (ARZ)LW/RW251998-04-19Yes161 Lbs5 ft9NoNoNoNo2Pro & Farm818,877$206,499$818,877$206,499$0$0$No818,877$Link
Luke WitkowskiRoadrunners (ARZ)RW/D331990-04-14No217 Lbs6 ft2NoNoNoNo3Pro & Farm1,067,000$269,070$1,067,000$269,070$0$0$No1,067,000$1,067,000$Link / NHL Link
Max WillmanRoadrunners (ARZ)LW291995-02-13Yes198 Lbs6 ft1NoNoNoNo2Pro & Farm796,776$200,926$796,776$200,926$0$0$No796,776$Link
Mitch ReinkeRoadrunners (ARZ)D281996-02-04No181 Lbs5 ft11NoNoNoNo3Pro & Farm900,000$226,957$900,000$226,957$0$0$No900,000$900,000$Link / NHL Link
Olli JuoleviRoadrunners (ARZ)D251998-05-05No204 Lbs6 ft2NoNoNoNo2Pro & Farm1,250,000$315,217$1,250,000$315,217$0$0$No1,250,000$Link / NHL Link
Owen SillingerRoadrunners (ARZ)C261997-09-23No183 Lbs5 ft10NoNoNoNo3Pro & Farm860,000$216,870$750,000$189,130$0$0$No860,000$860,000$Link
Peter AbbandonatoRoadrunners (ARZ)C251998-03-25No194 Lbs5 ft11NoNoNoNo3Pro & Farm1,076,000$271,339$1,076,000$271,339$0$0$No1,076,000$1,076,000$Link
Robbie RussoRoadrunners (ARZ)D311993-02-15No189 Lbs6 ft0NoNoNoNo3Pro & Farm1,078,000$271,843$1,078,000$271,843$0$0$No1,078,000$1,078,000$Link / NHL Link
Samuel HeleniusRoadrunners (ARZ)C212002-11-26Yes201 Lbs6 ft6NoNoNoNo2Pro & Farm801,818$202,198$801,818$202,198$0$0$No801,818$Link
Turner ElsonRoadrunners (ARZ)LW311992-09-12Yes185 Lbs6 ft0NoNoNoNo1Pro & Farm1,068,000$269,322$1,068,000$269,322$0$0$NoLink / NHL Link
Tyler MaddenRoadrunners (ARZ)C241999-11-09Yes152 Lbs5 ft11NoNoNoNo1Pro & Farm899,464$226,821$899,464$226,821$0$0$NoLink
Tyler SikuraRoadrunners (ARZ)C/LW311992-05-18No185 Lbs6 ft0NoNoNoNo3Pro & Farm900,000$226,957$900,000$226,957$0$0$No900,000$900,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2327.22192 Lbs6 ft12.221,017,686$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler MaddenPeter AbbandonatoLinus Weissbach40122
2Arshdeep BainsOwen SillingerDanila Klimovich30122
3Arshdeep BainsTyler SikuraAnton Blidh20122
4Linus WeissbachAnthony AngelloArshdeep Bains10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Robbie RussoLuke Witkowski40122
2Billy SweezeyOlli Juolevi30122
3Cameron GaunceDevante Stephens20122
4Robbie RussoLuke Witkowski10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anton BlidhPeter AbbandonatoLinus Weissbach60122
2Arshdeep BainsOwen SillingerDanila Klimovich40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Robbie RussoLuke Witkowski60122
2Billy SweezeyOlli Juolevi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Danila KlimovichArshdeep Bains60122
2Linus WeissbachPeter Abbandonato40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Robbie RussoLuke Witkowski60122
2Billy SweezeyOlli Juolevi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Linus Weissbach60122Robbie RussoLuke Witkowski60122
2Arshdeep Bains40122Billy SweezeyOlli Juolevi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Owen SillingerArshdeep Bains60122
2Linus WeissbachPeter Abbandonato40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Robbie RussoLuke Witkowski60122
2Billy SweezeyOlli Juolevi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Arshdeep BainsPeter AbbandonatoLinus WeissbachRobbie RussoLuke Witkowski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Arshdeep BainsPeter AbbandonatoLinus WeissbachRobbie RussoLuke Witkowski
Extra Forwards
Normal PowerPlayPenalty Kill
Arshdeep Bains, Luke Witkowski, Anton BlidhLuke Witkowski, Arshdeep BainsAnton Blidh
Extra Defensemen
Normal PowerPlayPenalty Kill
Cameron Gaunce, Devante Stephens, Billy SweezeyCameron GaunceDevante Stephens, Billy Sweezey
Penalty Shots
Anton Blidh, Luke Witkowski, Arshdeep Bains, Linus Weissbach, Peter Abbandonato
Goalie
#1 : Karel Vejmelka, #2 : Brian Elliott


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
1Admirals1010000013-2000000000001010000013-200.000112104799931319435738705442751022000%5260.00%1609120450.58%715143149.97%54697456.06%126854414217741612788
2Americans11000000422000000000001100000042221.00047110047999313274357387054411521152150.00%3166.67%0609120450.58%715143149.97%54697456.06%126854414217741612788
3Barracuda21000001963110000005141000000145-130.7509132200479993137043573870544331525332150.00%5340.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
4Bears50500000723-1630300000617-112020000016-500.0007111800479993131124357387054415541471054125.00%16568.75%0609120450.58%715143149.97%54697456.06%126854414217741612788
5Bruins1000000112-1000000000001000000112-110.500123004799931319435738705442761115200.00%30100.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
6Canucks11000000422110000004220000000000021.00046100047999313364357387054430431292150.00%3166.67%1609120450.58%715143149.97%54697456.06%126854414217741612788
7Checkers10001000321000000000001000100032121.00035800479993131843573870544156912000%2150.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
8Comets211000008801010000034-11100000054120.500816240047999313694357387054447142447400.00%7442.86%0609120450.58%715143149.97%54697456.06%126854414217741612788
9Condors1010000024-21010000024-20000000000000.000235104799931335435738705443681422300.00%2150.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
10Crunch21100000550110000005321010000002-220.500591400479993134643573870544421914434250.00%7271.43%0609120450.58%715143149.97%54697456.06%126854414217741612788
11Eagles211000005501010000024-21100000031220.500581300479993136643573870544481747285120.00%11463.64%0609120450.58%715143149.97%54697456.06%126854414217741612788
12Griffins420011002571810001000211320001002361770.8752534590047999313874357387054492299866161062.50%9188.89%0609120450.58%715143149.97%54697456.06%126854414217741612788
13Gulls2010001057-21010000036-31000001021120.500571200479993135743573870544502616379111.11%3166.67%0609120450.58%715143149.97%54697456.06%126854414217741612788
14Heat20101000880100010003211010000056-120.5008162400479993136743573870544622030444375.00%5180.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
15IceHogs21000100770110000005411000010023-130.75071118004799931381435738705446624213511327.27%8187.50%0609120450.58%715143149.97%54697456.06%126854414217741612788
16Islanders623010001823-5311010001010031200000813-560.5001827451047999313159435738705441796614612017211.76%18383.33%0609120450.58%715143149.97%54697456.06%126854414217741612788
17Marlies421001002013731100100141041100000063350.6252034540047999313904357387054412645819017952.94%8187.50%0609120450.58%715143149.97%54697456.06%126854414217741612788
18Monsters10001000431000000000001000100043121.00046100047999313194357387054443172712000%6266.67%0609120450.58%715143149.97%54697456.06%126854414217741612788
19Moose210010001358100010004311100000092741.00013193200479993135943573870544471447406233.33%7271.43%1609120450.58%715143149.97%54697456.06%126854414217741612788
20Penguins22000000972110000005411100000043141.00091625004799931362435738705445523324512758.33%6266.67%0609120450.58%715143149.97%54697456.06%126854414217741612788
21Phantoms641000101814432000010114732100000710-3100.833182644004799931315043573870544155525911717423.53%17570.59%1609120450.58%715143149.97%54697456.06%126854414217741612788
22Reign4200001128101821000010225172100000165170.875284270014799931394435738705448126597412433.33%12375.00%1609120450.58%715143149.97%54697456.06%126854414217741612788
23Rocket11000000633110000006330000000000021.0006101600479993133543573870544421414307228.57%10100.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
24Senators2020000048-41010000013-21010000035-200.000481200479993133843573870544692924304125.00%7357.14%0609120450.58%715143149.97%54697456.06%126854414217741612788
25Silver Knights2010001034-1100000103211010000002-220.5003360047999313484357387054439221927400.00%7271.43%0609120450.58%715143149.97%54697456.06%126854414217741612788
26Stars20200000711-41010000046-21010000035-200.00071219004799931371435738705447630462912541.67%8537.50%0609120450.58%715143149.97%54697456.06%126854414217741612788
27Thunderbirds40301000914-52010100056-12020000048-420.250914230047999313994357387054414748337415320.00%14285.71%0609120450.58%715143149.97%54697456.06%126854414217741612788
28Wild3120000067-11010000012-12110000055020.3336814104799931377435738705441033630624125.00%50100.00%1609120450.58%715143149.97%54697456.06%126854414217741612788
29Wolf Pack1000010012-11000010012-10000000000010.50012300479993133243573870544815112150.00%000%0609120450.58%715143149.97%54697456.06%126854414217741612788
30Wolves220000001046110000007431100000030341.00010172701479993135943573870544371433348225.00%40100.00%0609120450.58%715143149.97%54697456.06%126854414217741612788
Total71262707443250219313512130523013411222361414022131161079810.57025039364342479993131901435738705441948676107313482056732.68%2095872.25%6609120450.58%715143149.97%54697456.06%126854414217741612788
_Since Last GM Reset71262707443250219313512130523013411222361414022131161079810.57025039364342479993131901435738705441948676107313482056732.68%2095872.25%6609120450.58%715143149.97%54697456.06%126854414217741612788
_Vs Conference461718062211751472822680512088721624111001101877512530.576175272447214799931311804357387054412764277658811395237.41%1413873.05%4609120450.58%715143149.97%54697456.06%126854414217741612788
_Vs Division16121303221684226756031202820897700101402218371.15668109177004799931336043573870544424153272301522548.08%40977.50%0609120450.58%715143149.97%54697456.06%126854414217741612788

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7181W4250393643190119486761073134842
All Games
GPWLOTWOTL SOWSOLGFGA
7126277443250219
Home Games
GPWLOTWOTL SOWSOLGFGA
3512135230134112
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3614142213116107
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2056732.68%2095872.25%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4357387054447999313
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
609120450.58%715143149.97%54697456.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
126854414217741612788


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
11Thunderbirds2Roadrunners0BLBoxScore
331Roadrunners3Griffins4ALXBoxScore
444Marlies5Roadrunners3BLBoxScore
559Roadrunners6Marlies3AWBoxScore
778Griffins1Roadrunners2BWXBoxScore
890Roadrunners1Bears3ALBoxScore
9103Phantoms1Roadrunners2BWXXBoxScore
10120Roadrunners3Phantoms1AWBoxScore
11138Bears2Roadrunners1BLBoxScore
12153Roadrunners3Reign4ALXXBoxScore
13171Islanders2Roadrunners4BWBoxScore
14175Roadrunners1Thunderbirds3ALBoxScore
15193Roadrunners3Thunderbirds5ALBoxScore
16209Bears11Roadrunners3BLBoxScore
17216Roadrunners2Islanders5ALBoxScore
18236Roadrunners1Wild3ALBoxScore
19248Reign5Roadrunners6BWXXBoxScore
20267Roadrunners12Griffins1AWBoxScore
22279Phantoms1Roadrunners4BWBoxScore
23300Rocket3Roadrunners6BWBoxScore
24320Roadrunners5Heat6ALBoxScore
25323Roadrunners1Islanders5ALBoxScore
26338Canucks2Roadrunners4BWBoxScore
27356Roadrunners4Phantoms3AWBoxScore
28367Penguins4Roadrunners5BWBoxScore
30393Comets4Roadrunners3BLBoxScore
32411Roadrunners3Senators5ALBoxScore
33419Islanders2Roadrunners3BWXBoxScore
34436Roadrunners5Comets4AWBoxScore
35445Roadrunners1Bruins2ALXXBoxScore
36463IceHogs4Roadrunners5BWBoxScore
38476Roadrunners4Penguins3AWBoxScore
39494Eagles4Roadrunners2BLBoxScore
40511Roadrunners4Wild2AWBoxScore
41523Silver Knights2Roadrunners3BWXXBoxScore
43546Islanders6Roadrunners3BLBoxScore
44562Roadrunners4Barracuda5ALXXBoxScore
45577Heat2Roadrunners3BWXBoxScore
46593Roadrunners1Admirals3ALBoxScore
47605Roadrunners4Monsters3AWXBoxScore
48616Senators3Roadrunners1BLBoxScore
49634Roadrunners8Griffins1AWBoxScore
50647Phantoms2Roadrunners5BWBoxScore
51659Roadrunners3Checkers2AWXBoxScore
53678Reign0Roadrunners16BWBoxScore
54696Roadrunners9Moose2AWBoxScore
56708Stars6Roadrunners4BLBoxScore
57728Roadrunners3Eagles1AWBoxScore
58739Roadrunners2Gulls1AWXXBoxScore
59744Bears4Roadrunners2BLBoxScore
60771Moose3Roadrunners4BWXBoxScore
61787Roadrunners5Islanders3AWBoxScore
62796Condors4Roadrunners2BLBoxScore
65822Roadrunners3Wolves0AWBoxScore
66833Barracuda1Roadrunners5BWBoxScore
68855Gulls6Roadrunners3BLBoxScore
69869Roadrunners0Phantoms6ALBoxScore
70883Marlies4Roadrunners3BLXBoxScore
71899Roadrunners0Crunch2ALBoxScore
73915Roadrunners2IceHogs3ALXBoxScore
74927Wolves4Roadrunners7BWBoxScore
76948Wolf Pack2Roadrunners1BLXBoxScore
77961Roadrunners0Silver Knights2ALBoxScore
78977Thunderbirds4Roadrunners5BWXBoxScore
79986Roadrunners0Bears3ALBoxScore
801011Wild2Roadrunners1BLBoxScore
811022Roadrunners3Stars5ALBoxScore
821036Roadrunners4Americans2AWBoxScore
831042Roadrunners3Reign1AWBoxScore
841058Marlies1Roadrunners8BWBoxScore
851081Crunch3Roadrunners5BWBoxScore
871097Roadrunners-Marlies-
881110Admirals-Roadrunners-
891129Roadrunners-Marlies-
901138Silver Knights-Roadrunners-
911155Roadrunners-Thunderbirds-
931171Monsters-Roadrunners-
941195Roadrunners-Wolf Pack-
951203Bruins-Roadrunners-
Trade Deadline --- Trades can’t be done after this day is simulated!
971223Roadrunners-Reign-
981232Griffins-Roadrunners-
1001257Thunderbirds-Roadrunners-
1011268Roadrunners-Condors-
1021282Roadrunners-Bears-
1041297Americans-Roadrunners-
1051311Roadrunners-Canucks-
1071330Reign-Roadrunners-
1081338Roadrunners-Rocket-
1101361Checkers-Roadrunners-
1141394Griffins-Roadrunners-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2510
Attendance68,11334,602
Attendance PCT97.30%98.86%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
10 2935 - 97.82% 87,222$3,052,780$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,324,742$ 2,340,678$ 2,329,678$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
20,354$ 1,763,921$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
872,223$ 29 26,875$ 779,375$




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
1Otto Koivula1665172123-2617623730631216.35%67339320.441823415424696648.99%00.72214
2Turner Elson1564468112-3012422728333713.06%87329721.141624407612386439.62%20.68110
3Linus Weissbach16241559658718318930713.36%51256015.811117284911290341.79%10.7515
4Kevin Roy180395695-295318728922417.41%65352219.571316293803374042.95%00.54214
5Paul Thompson169484391-4020127721925818.60%71295017.461925445300069346.67%30.6237

Roadrunners Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Karel Vejmelka71412360.8922.654151251831694879540.88025
2Dustin Tokarski873732160.8872.4850750721018651038500.70758
3Gilles Senn722729140.8652.644112461811337777430.70020
4Brian Elliott69213570.8683.213775622021532908230.73719
5Troy Grosenick22111010.8833.1213270069588303110.76913

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
Regular Season
2020902636071146212262-5045161904402107117-1045101703744105145-409121233054248307398151490298535622711936607117814151926433.33%2216968.78%4609125048.72%713143549.69%46098846.56%14224751756104122891097
202190204407676212307-9545112401243105145-404592006433107162-558021232453632377487221467311524609662251695110815862076330.43%2739067.03%6545119545.61%669152343.93%430103241.67%14935161773100922081110
202292313704785211232-2146171602632102102046142102153109130-219821132253328455010418154635352364677202770378416802167233.33%2185574.77%5669127252.59%786153951.07%46594349.31%15225161773103622991156
2023712627074432502193135121305230134112223614140221311610798125039364342479993131901435738705441948676107313482056732.68%2095872.25%6609120450.58%715143149.97%54697456.06%126854414217741612788
Total Regular Season3431031440252823208851020-135171567201214107448476-281724772013141313437544-107350885136922541320159296382686404139723202582258816226814143602982026632.44%92127270.47%212432492149.42%2883592848.63%1901393748.29%570720546725386284104152
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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