Roadrunners

GP: 19 | W: 3 | L: 16 | OTL: 0 | P: 6
GF: 54 | GA: 122 | PP%: 5.66% | PK%: 68.00%
GM : Richard Boivin | Morale : 50 | Team Overall : 66
Next Games #299 vs Barracuda

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PriorityTypeDescription
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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 SP
1Ryan Carpenter0X100.007741836677798663826465746274752750670
2Cole Schneider0XX100.007138946580888764676265616373782650660
3Zac Dalpe0XX100.007038846680868463766168626674783950660
4Matt Martin0X100.009085736387788962556059615784752950650
5Joel L'Esperance0X100.007441826483958563696264616468703650650
6Jiri Kulich (R)0X100.005636916966917167636166646759618250640
7William Bitten0X100.007337886770838565676460616265676450640
8Shane Wright (R)0X100.006237926673776163706267646559619150630
9Alex Goligoski0X100.006133876567898263307556745089792850690
10Casey Fitzgerald0X100.007546736470857763306650674865666050650
11Nick DeSimone0X100.006539846377818662306458654969713650650
12Brandon Hickey0X100.007240875281616751305253554567695650580
Scratches
TEAM AVERAGE100.00714385647683806256636164587171485065
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Ukko-Pekka Luukkonen100.00799087937877797877797864716850770
2Cayden Primeau100.00757473807473757473757464715850720
Scratches
1Dylan Ferguson100.00746162797372747372747365735750700
2Arvid Holm100.00716566897069717069717065734750700
3Dennis Hildeby100.00575556915655575655575662675950600
TEAM AVERAGE100.0071696986706971706971706471585070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Boudreau81808580999540CAN6893,200,000$


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
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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
# 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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex GoligoskiD381985-07-30No173 Lbs5 ft11NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Arvid HolmG251998-11-03No213 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Brandon HickeyD271996-04-13No201 Lbs6 ft2NoNoNo1RFAPro & Farm499,999$0$0$NoLink / NHL Link
Casey FitzgeraldD261997-02-25No188 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cayden PrimeauG241999-08-11No199 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Cole SchneiderC/LW331990-08-26No199 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dennis HildebyG222001-08-19No209 Lbs6 ft5NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Dylan FergusonG251998-09-20No194 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jiri KulichRW192004-04-14Yes172 Lbs5 ft10NoNoNo1ELCPro & Farm0$0$No
Joel L'EsperanceC281995-08-18No215 Lbs6 ft2NoNoNo4UFAPro & Farm499,999$0$0$NoLink / NHL Link
Matt MartinLW341989-05-08No220 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nick DeSimoneD291994-11-21No185 Lbs6 ft2NoNoNo2UFAPro & Farm453,851$0$0$NoLink / NHL Link
Ryan CarpenterC321991-01-18No198 Lbs6 ft1NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Shane WrightC192004-01-05Yes192 Lbs6 ft0NoNoNo1ELCPro & Farm0$0$No
Ukko-Pekka LuukkonenG241999-03-09No217 Lbs6 ft5NoNoNo3RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
William BittenC251998-07-10No180 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Zac DalpeC/RW341989-11-01No197 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1727.29197 Lbs6 ft22.12479,638$



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 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
196L654107161587100127717437500
All Games
GPWLOTWOTL SOWSOLGFGA
19216100054122
Home Games
GPWLOTWOTL SOWSOLGFGA
92610003046
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1001000002476
Last 10 Games
WLOTWOTL SOWSOL
190000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
5335.66%752468.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
187201189102518101
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
21348444.01%29068342.46%14433542.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
31621762712819883


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
4 - 2023-08-138Roadrunners5Stars7LBoxScore
5 - 2023-08-1424Roadrunners4Stars8LBoxScore
12 - 2023-08-2157Firebirds5Roadrunners1LBoxScore
15 - 2023-08-2463Gulls5Roadrunners4LBoxScore
18 - 2023-08-2784Condors5Roadrunners6WXBoxScore
19 - 2023-08-2898Condors6Roadrunners2LBoxScore
25 - 2023-09-03121Wolves4Roadrunners6WBoxScore
26 - 2023-09-04136Wolves4Roadrunners2LBoxScore
30 - 2023-09-08148Roadrunners2Reign6LBoxScore
32 - 2023-09-10159Roadrunners1Reign9LBoxScore
34 - 2023-09-12180Roadrunners1Firebirds9LBoxScore
39 - 2023-09-17200Firebirds6Roadrunners3LBoxScore
40 - 2023-09-18217Firebirds3Roadrunners5WBoxScore
43 - 2023-09-21225Roadrunners5Wranglers7LBoxScore
44 - 2023-09-22237Roadrunners3Wranglers6LBoxScore
47 - 2023-09-25253Roadrunners0Silver Knights9LBoxScore
48 - 2023-09-26268Roadrunners0Silver Knights9LBoxScore
50 - 2023-09-28269Roadrunners3Reign6LBoxScore
53 - 2023-10-01284Barracuda8Roadrunners1LBoxScore
54 - 2023-10-02299Barracuda-Roadrunners-
60 - 2023-10-08326Roadrunners-Eagles-
61 - 2023-10-09341Roadrunners-Eagles-
67 - 2023-10-15367Canucks-Roadrunners-
68 - 2023-10-16379Canucks-Roadrunners-
72 - 2023-10-20396Roadrunners-Barracuda-
74 - 2023-10-22412Roadrunners-Condors-
75 - 2023-10-23422Roadrunners-Gulls-
81 - 2023-10-29448Firebirds-Roadrunners-
82 - 2023-10-30461Gulls-Roadrunners-
86 - 2023-11-03474Roadrunners-Barracuda-
88 - 2023-11-05481Roadrunners-Wolves-
89 - 2023-11-06496Roadrunners-Wolves-
95 - 2023-11-12530Roadrunners-Canucks-
96 - 2023-11-13544Roadrunners-Canucks-
98 - 2023-11-15551Wild-Roadrunners-
100 - 2023-11-17560Wild-Roadrunners-
102 - 2023-11-19572Silver Knights-Roadrunners-
103 - 2023-11-20585Silver Knights-Roadrunners-
109 - 2023-11-26618Reign-Roadrunners-
110 - 2023-11-27635Reign-Roadrunners-
114 - 2023-12-01650Roadrunners-Condors-
116 - 2023-12-03664Roadrunners-Gulls-
117 - 2023-12-04680Roadrunners-Firebirds-
123 - 2023-12-10693Roadrunners-Wild-
124 - 2023-12-11704Roadrunners-Wild-
130 - 2023-12-17732Reign-Roadrunners-
131 - 2023-12-18744Reign-Roadrunners-
137 - 2023-12-24778Condors-Roadrunners-
138 - 2023-12-25795Condors-Roadrunners-
142 - 2023-12-29813Roadrunners-Condors-
144 - 2023-12-31828Roadrunners-Silver Knights-
145 - 2024-01-01840Roadrunners-Silver Knights-
148 - 2024-01-04849Wranglers-Roadrunners-
149 - 2024-01-05853Wranglers-Roadrunners-
152 - 2024-01-08882Roadrunners-Firebirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11893Silver Knights-Roadrunners-
156 - 2024-01-12902Silver Knights-Roadrunners-
159 - 2024-01-15927Stars-Roadrunners-
160 - 2024-01-16935Stars-Roadrunners-
163 - 2024-01-19948Roadrunners-Reign-
166 - 2024-01-22962Roadrunners-Barracuda-
167 - 2024-01-23981Roadrunners-Barracuda-
172 - 2024-01-281005Gulls-Roadrunners-
173 - 2024-01-291019Gulls-Roadrunners-
177 - 2024-02-021032Roadrunners-Condors-
180 - 2024-02-051057Roadrunners-Gulls-
181 - 2024-02-061068Roadrunners-Gulls-
186 - 2024-02-111087Eagles-Roadrunners-
187 - 2024-02-121100Eagles-Roadrunners-
191 - 2024-02-161117Roadrunners-Firebirds-
193 - 2024-02-181127Barracuda-Roadrunners-
194 - 2024-02-191143Barracuda-Roadrunners-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance17,0298,614
Attendance PCT94.61%95.71%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
27 2849 - 94.97% 70,911$638,198$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
891,884$ 81,539$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 22,154$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,914,594$ 142 16,828$ 2,389,576$




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
128235290364529425737411812014241731314241171702221121126-5952944767700701159577244407977968242036600103316075048917.66%4178380.10%61298251551.61%1146221551.74%691128253.90%221916431823555937481
128235290364529425737411812014241731314241171702221121126-5952944767700701159577244407977968242036600103316075048917.66%4178380.10%61298251551.61%1146221551.74%691128253.90%221916431823555937481
1368233701421174216-423413160031190114-243410210111084102-185717429947314061565416650528530591187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386
1368233701421174216-423413160031190114-243410210111084102-185717429947314061565416650528530591187354886312534115413.14%3396082.30%31093194856.11%1063197353.88%55998856.58%160311321711493794386
146838160243523916772341712012111108129342140122412986439523942966805094845622880797709755163042979512803066320.59%2744384.31%41365220162.02%1063178159.69%622101561.28%199614951350421783428
146838160243523916772341712012111108129342140122412986439523942966805094845622880797709755163042979512803066320.59%2744384.31%41365220162.02%1063178159.69%622101561.28%199614951350421783428
158234290551823519540411913021151189424411516034031171011693235407642150806881211306416687772125653110816494278519.91%4586286.46%21130241046.89%1075255842.03%540113847.45%208014841948573955484
158234290551823519540411913021151189424411516034031171011693235407642150806881211306416687772125653110816494278519.91%4586286.46%21130241046.89%1075255842.03%540113847.45%208014841948573955484
1682195604102223364-1414192803100112179-6741102801002111185-7449223394617100828453229807558327003009912101316553764812.77%43411673.27%3952231541.12%1107272440.64%526126341.65%163911492395581906409
1682195604102223364-1414192803100112179-6741102801002111185-7449223394617100828453229807558327003009912101316553764812.77%43411673.27%3952231541.12%1107272440.64%526126341.65%163911492395581906409
177275803310134388-254363300210069189-120364280121065199-1342513425939300054354117480607542586363210286501237242145.79%2997674.58%0493160130.79%794267629.67%323112328.76%9996522584518749287
177275803310134388-254363300210069189-120364280121065199-1342513425939300054354117480607542586363210286501237242145.79%2997674.58%0493160130.79%794267629.67%323112328.76%9996522584518749287
18192160100054122-68926010003046-1610010000002476-526541071610025181015871872011891010012771743755335.66%752468.00%021348444.01%29068342.46%14433542.99%31621762712819883
Total Regular Season92731446603746224226523296-64446316022801924102213741622-24846415423801822122012781674-39683426524635728764225990854725256991878451834384762961186171109817737458570915.46%451790479.99%36128752646448.65%127862853744.80%66661395347.77%2139315332242546413104535040
Playoff
11734000001318-53210000065141300000713-6613223501043615604163521865594129621117.74%39294.87%09521344.60%8421738.71%378941.57%147102195517736
11734000001318-53210000065141300000713-6613223501043615604163521865594129621117.74%39294.87%09521344.60%8421738.71%378941.57%147102195517736
141275000002727051400000819-11761000001981114274572030978270082848029777176216671116.42%771087.01%018940047.25%20740051.75%8617648.86%29319431710116479
141275000002727051400000819-11761000001981114274572030978270082848029777176216671116.42%771087.01%018940047.25%20740051.75%8617648.86%29319431710116479
Total Playoff382018000008090-1016610000002848-202214800000524210408013421408026202885202462942649662645406902584417.05%2322489.66%0568122646.33%582123447.16%24653046.42%8815951024304484231