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Roadrunners
3-0-0, 6pts		5
FINAL
 4 Mighty Ducks
1-2-0, 2pts
Team Stats
W3StreakL2
1-0-0Home Record0-1-0
2-0-0Away Record1-1-0
3-0-0Last 10 Games1-2-0
5.00Goals Per Game4.00
3.00Goals Against Per Game4.00
41.67%Power Play Percentage20.00%
75.00%Penalty Kill Percentage81.25%
BaronsOKC
1-1-0, 2pts		3
FINAL
 4 Roadrunners
3-0-0, 6pts
Team Stats
L1StreakW3
1-0-0Home Record1-0-0
0-1-0Away Record2-0-0
1-1-0Last 10 Games3-0-0
3.00Goals Per Game5.00
2.50Goals Against Per Game3.00
40.00%Power Play Percentage41.67%
66.67%Penalty Kill Percentage75.00%
Draveurs
3-0-0, 6pts
Day 9
 Roadrunners
3-0-0, 6pts
Team Stats
W3StreakW3
1-0-0Home Record1-0-0
2-0-0Away Record2-0-0
3-0-0Last 10 Games3-0-0
5.00Goals Per Game5.00
2.67Goals Against Per Game3.00
31.58%Power Play Percentage41.67%
90.00%Penalty Kill Percentage75.00%
Roadrunners
3-0-0, 6pts
Day 10
 Draveurs
3-0-0, 6pts
Team Stats
W3StreakW3
1-0-0Home Record1-0-0
2-0-0Away Record2-0-0
3-0-0Last 10 Games3-0-0
5.00Goals Per Game5.00
3.00Goals Against Per Game2.67
41.67%Power Play Percentage31.58%
75.00%Penalty Kill Percentage90.00%
Draveurs
3-0-0, 6pts
Day 13
 Roadrunners
3-0-0, 6pts
Team Stats
W3StreakW3
1-0-0Home Record1-0-0
2-0-0Away Record2-0-0
3-0-0Last 10 Games3-0-0
5.00Goals Per Game5.00
2.67Goals Against Per Game3.00
31.58%Power Play Percentage41.67%
90.00%Penalty Kill Percentage75.00%
Team Leaders

Team Stats
Goals For
15
5.00 GFG		 Shots For
124
41.33 Avg		 Power Play Percentage
41.7%
5 GF		 Offensive Zone Start
43.9%
Goals Against
9
3.00 GAA		 Shots Against
111
37.00 Avg		 Penalty Kill Percentage
75.0%
1 GA		 Defensive Zone Start
36.2%
Team Info
General ManagerMichael Langlois
CoachAaron Schneekloth
DivisionPacific
ConferenceWestern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team24
Farm Team22
Contract Limit46 / 50
Prospects51
Team History
This Season3-0-0 (6PTS)
History143-83-27 (0.565%)
Playoff Appearances3
Playoff Record (W-L)15-20
Stanley Cup0


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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
1Kent JohnsonX100.004143859151848979408079759068768021730231925,000$
2Matt RempeX100.009991587599697253405056654068698021620231700,000$
3Cole SchwindtX100.0063519075677072538654526340707075216002411,350,000$
4Samuel HeleniusX100.009967807574697751814557584068698021600232900,000$
5Jacob Quillan (R)X100.007053798565766648704352704068728021600232750,000$
6Noah Ostlund (R)X100.005041849345605058405165704064629021600213925,000$
7Brennan OthmannX100.008646887657715849404750694066698521580222925,000$
8William StromgrenX100.005442857662796954406146504066738521580222750,000$
9Ryan WintertonX100.007944877553735148404750494066708521550222925,000$
10Lauri PajuniemiX100.004944817653605048404353604074676521540261950,000$
11Nikita ChibrikovX100.004748837756605050405049509966638521540222925,000$
12Filip Mesar (R)X100.005444819149605043404738604064629021540213925,000$
13Ondrej Becher (R)X100.006346878658685839703444508064669021530213925,000$
14Tyler TullioX100.005850737554605039404336554068648021510231925,000$
15Lian BichselX100.009969687591746957405163674064699021670212925,000$
16Scott Morrow (R)X100.004553908070765364406959754068728021660232750,000$
17Luca Cagnoni (R)X100.005042819345686363406661534064669021620213925,000$
18Simon NemecX100.004247807758746253404659604064699021590211925,000$
19Victor SoderstromX100.0053437977525550494050485240706375215502411,650,000$
Scratches
1Lukas SvejkovskyX100.005548827540605034402939648070657520500241925,000$
2Jakub Stancl (R)X100.007150868166605029402830514062619520480203925,000$
TEAM AVERAGE 100.00635181806068605147495260496767832158
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
1Sergei Murashov (R)100.00755060836359636061609964629022620213925,000$
2Henrik Tikkanen100.00785760995050505050508772617022590251950,000$
Scratches
1Ruslan Khazheyev (R)100.00755060935050505050504064579020570213925,000$
TEAM AVERAGE100.0076526092545354535453756760832159
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Aaron Schneekloth54768074826076CAN473100,000$


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
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


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Brennan OthmannRoadrunners (Uta)LW222003-01-05No192 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Cole SchwindtRoadrunners (Uta)RW242001-04-25No203 Lbs6 ft2NoNoNo1Pro & Farm1,350,000$0$0$No
RFA
Link / NHL Link
Filip MesarRoadrunners (Uta)RW212004-01-03Yes184 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Henrik TikkanenRoadrunners (Uta)G252000-09-28No201 Lbs6 ft8NoNoNo1Pro & Farm950,000$0$0$No
RFA
Link / NHL Link
Jacob QuillanRoadrunners (Uta)C232002-02-02Yes204 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Jakub StanclRoadrunners (Uta)LW202005-04-10Yes198 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Kent JohnsonRoadrunners (Uta)C232002-10-18No180 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Lauri PajuniemiRoadrunners (Uta)RW261999-09-12No183 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$No
RFA
Link / NHL Link
Lian BichselRoadrunners (Uta)D212004-05-18No231 Lbs6 ft7NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Luca CagnoniRoadrunners (Uta)D212004-12-21Yes180 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Lukas SvejkovskyRoadrunners (Uta)RW242001-11-28No170 Lbs5 ft9NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Matt RempeRoadrunners (Uta)C232002-06-29No255 Lbs6 ft9NoNoNo1Pro & Farm700,000$0$0$No
RFA
Link / NHL Link
Nikita ChibrikovRoadrunners (Uta)LW222003-02-16No193 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Noah OstlundRoadrunners (Uta)LW212004-03-11Yes171 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Ondrej BecherRoadrunners (Uta)C212004-02-22Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Ruslan KhazheyevRoadrunners (Uta)G212004-11-20Yes201 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Ryan WintertonRoadrunners (Uta)C222003-09-04No175 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Samuel HeleniusRoadrunners (Uta)C232002-11-26No201 Lbs6 ft6NoNoNo2Pro & Farm900,000$0$0$No900,000$
RFA
Link / NHL Link
Scott MorrowRoadrunners (Uta)D232002-11-01Yes210 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Sergei MurashovRoadrunners (Uta)G212004-04-01Yes172 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Simon NemecRoadrunners (Uta)D212004-02-15No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Tyler TullioRoadrunners (Uta)RW232002-04-05No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Victor SoderstromRoadrunners (Uta)D242001-02-26No186 Lbs5 ft11NoNoNo1Pro & Farm1,650,000$0$0$No
RFA
Link / NHL Link
William StromgrenRoadrunners (Uta)RW222003-06-07No190 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2422.38194 Lbs6 ft21.92942,708$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1BaronsOKC11000000431110000004310000000000021.0004812003840373348430461411284250.00%20100.00%05311944.54%479847.96%295453.70%715275183316
2Mighty Ducks11000000541000000000001100000054121.0005101500384039334843029102184125.00%110.00%05311944.54%479847.96%295453.70%715275183316
3Remparts11000000624000000000001100000062421.0006121800384048334843036122234250.00%10100.00%05311944.54%479847.96%295453.70%715275183316
Total3300000015961100000043122000000116561.000153045003840124334843011136156912541.67%4175.00%05311944.54%479847.96%295453.70%715275183316
_Since Last GM Reset3300000015961100000043122000000116561.000153045003840124334843011136156912541.67%4175.00%05311944.54%479847.96%295453.70%715275183316
_Vs Conference3300000015961100000043122000000116561.000153045003840124334843011136156912541.67%4175.00%05311944.54%479847.96%295453.70%715275183316
_Vs Division3200000015961000000043122000000116540.667153045003840124334843011136156912541.67%4175.00%05311944.54%479847.96%295453.70%715275183316

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
36W315304512411136156900
All Games
GPWLOTWOTL SOWSOLGFGA
3300000159
Home Games
GPWLOTWOTL SOWSOLGFGA
110000043
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2200000116
Last 10 Games
WLOTWOTL SOWSOL
300000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
12541.67%4175.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
33484303840
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
5311944.54%479847.96%295453.70%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
715275183316


Last Played Games
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PriorityTypeDescription
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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
29Roadrunners6Remparts2AWBoxScore
320Roadrunners5Mighty Ducks4AWBoxScore
530BaronsOKC3Roadrunners4BWBoxScore
955Draveurs-Roadrunners-
1061Roadrunners-Draveurs-
1381Draveurs-Roadrunners-
1591Roadrunners-Draveurs-
17108Roadrunners-Vikings-
19120Mighty Ducks-Roadrunners-
21135Roadrunners-Mighty Ducks-
23152Vikings-Roadrunners-
25168Roadrunners-Nordiques-
27179SilverKnights-Roadrunners-
31203HC-Roadrunners-
33216Roadrunners-HC-
35234Roadrunners-Cyclones-
37246Nordiques-Roadrunners-
39266IceHawks-Roadrunners-
42290Nordiques-Roadrunners-
44301Roadrunners-Vikings-
46318Roadrunners-Cyclones-
47325Roadrunners-HC-
49337HC-Roadrunners-
52358BaronsOKC-Roadrunners-
55381Nordiques-Roadrunners-
57399Roadrunners-IceBears-
58405Roadrunners-Remparts-
60421Remparts-Roadrunners-
62435Roadrunners-BaronsOKC-
64449Roadrunners-Mighty Ducks-
65459National-Roadrunners-
67472Roadrunners-SilverKnights-
69491BaronsOKC-Roadrunners-
71505Roadrunners-Nordiques-
73523Griffins-Roadrunners-
76543Roadrunners-Vikings-
77553Darkness-Roadrunners-
80567Roadrunners-Checkers-
82583Oceanic-Roadrunners-
84604Iceberg-Roadrunners-
86617Roadrunners-Iceberg-
88633Roadrunners-Mighty Ducks-
90644SilverKnights-Roadrunners-
93666Roadrunners-BigBadStars-
94677Pantheres-Roadrunners-
97697Roadrunners-Nordiques-
99707SilverKnights-Roadrunners-
101725Roadrunners-EvilSharks-
104740WolfPack-Roadrunners-
106753Roadrunners-SilverKnights-
108768Thunder-Roadrunners-
110787Roadrunners-Senators-
112800Checkers-Roadrunners-
114814Roadrunners-Remparts-
116829Darkness-Roadrunners-
119850Roadrunners-Eagles-
121863Cyclones-Roadrunners-
123878Roadrunners-SilverKnights-
125890Roadrunners-IceHogs-
126898IceBears-Roadrunners-
128920Roadrunners-Bandits-
129927Draveurs-Roadrunners-
133952Vikings-Roadrunners-
136978Draveurs-Roadrunners-
138996Roadrunners-WolfPack-
1401008Roadrunners-Sagueneens-
1411016Mighty Ducks-Roadrunners-
1441038Roadrunners-HC-
1451046Remparts-Roadrunners-
1481071Bandits-Roadrunners-
1491079Roadrunners-Spiders-
1521098Roadrunners-Sagueneens-
1541106IceHawks-Roadrunners-
1571129Roadrunners-Wolves-
1581141Vikings-Roadrunners-
1611163Mighty Ducks-Roadrunners-
1631176Roadrunners-Draveurs-
1671199Eagles-Roadrunners-
1681206Roadrunners-Magics-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721229Roadrunners-Draveurs-
1731239HC-Roadrunners-
1781260Remparts-Roadrunners-



Roadrunners 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
1Aaron Downey1476263424687-5413472197186127419.60%8622430316.476399162272571271341247.47%40.571050
2Christopher DiDomenico1644892140-4520032630148010.00%76299818.28921304311286350.83%10.9328
3Brendan Smith13720103123-272482802495293.78%176329724.07724315910112210.00%00.7500
4Kenny Ryan1575861119-6428329520146512.47%60298219.0012142652202138331.94%10.8027
5Juraj Kolnik1616650116-5215534618249513.33%78301818.751114254603386239.15%00.77110

Roadrunners Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Eddie Pasquale1567955220.9031.90941341829830730720.759116
2Atte Engren1034249100.8893.06605617530927831345530.68651
3Atte Engren874032100.8953.22498744268254911791000.77649
4Justin Peters753825110.9042.774514822082158978240.75024
5Konstantin Barulin53192490.8843.533107601831583709410.81527

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
203680273708422308313-540141704311153147640132004111155166-118030859290001012184933015094410181019252768970320853085517.86%3007475.33%11229279443.99%1150260844.10%552130542.30%183713202066567936447
20378241250742332027743412210043111681442441191503112152133191073206079273311610491132998952979102463258476680921633526418.18%3486182.47%41312283146.34%1250267846.68%604132245.69%185613242160574949455
203878452106321331259723927100110017512550391811052211561342211033163096121121101101103015106795996337255674170220433245115.74%3083887.66%41206267545.08%1165257445.26%589129645.45%179112812023550893428
2039330000001596110000004312200000011656153045003840124334843011136156912541.67%4175.00%05311944.54%479847.96%295453.70%715275183316
Total Regular Season24311683021116697485811612164370972250041981122524601244447443935303974185928335524033428011691522052293030481119777822322229636099617517.57%96017481.88%93800841945.14%3612795845.39%1774397744.61%555639806325171028111348
Playoff
2035624000002536-11321000001516-1303000001020-10425477200011772290798268235635819337616.22%271062.96%110622048.18%10222445.54%5110449.04%13898154416632
2037104600000403915230000019181523000002121084075115011712101406144120138433510310726139820.51%37975.68%017936748.77%17332852.74%9317453.45%2361702586911654
203819910000009290211560000059563844000003334-1189217526700401735082827124028829861213194528861719.77%821285.37%139078149.94%38976251.05%19034754.76%479353489129219109
Total Playoff35152000000157165-819910000009390316610000006475-1130157297454015740528146341543950810114313793599821623119.14%1463178.77%2675136849.34%664131450.53%33462553.44%855621902241402197

Roadrunners 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
1Aaron Downey108163248-29831771391948.25%75181016.763692500002239.30%00.5300
2Christopher DiDomenico60992131511140.00%211619.40011100000044.07%01.5500
3Juraj Kolnik64374717102615.38%312721.29101600001050.00%01.1000
4Colby Robak6235421281216.67%1013923.1810110000000.00%00.7200
5Daniel Carcillo5145042115224.55%07314.78000000000050.00%01.3500

Roadrunners Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Justin Pogge72310.9023.413702021215106020.0000
2Justin Pogge52110.8762.6027720129758000.0000
3Eddie Pasquale62400.8812.2537401141180000.0000
4Justin Peters20200.8435.16930085118000.0000





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