Roadrunners

GP: 51 | W: 10 | L: 40 | OTL: 1 | P: 21
GF: 136 | GA: 266 | PP%: 12.81% | PK%: 67.50%
GM : Richard Boivin | Morale : 50 | Team Overall : 63
Next Games #853 vs Marlies

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# 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
1Buddy RobinsonXX100.008076846199737662566164656378683650640
2Eric TangradiX100.008346816292737661565863646980724650640
3Brendan WoodsX100.007960645887818556655957615877694650620
4Darren ArchibaldX100.007638896185778158625760595679703450620
5Anthony PelusoX100.007954725588797453525654645380723350600
6Jamie DevaneX100.008776575696707555535254605478705350600
7Ryan WhiteXX100.007381545974606558545257565582733950580
8Jan DrozgX100.006639875475707554555257545663624950570
9Steven WhitneyX100.006146785661696354525357525678673550560
10Brandon ManningX100.006174576478777563306260615079713450630
11Matt BartkowskiX100.005835956078787458306056644982732950630
12Frank CorradoX100.006643835575687355305950564575684150590
Scratches
1Julian MelchioriX100.008537915494889354305555614678705150660
2Nikita NesterovXHO7434836471857366306755635275684550650
3Zach TrotmanX100.008175846087717658306157624979713850640
TEAM AVERAGE100.00745477598375765846585760547870415062
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PriorityTypeDescription
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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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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
1Zane McIntyre100.00748886827372747372747377834050740
2Dylan Ferguson100.00777583757675777675777665694950730
Scratches
1Brad Thiessen100.00708179706968706968706985892350700
2Martin Ouellette100.00627579706160626160626178843950640
TEAM AVERAGE100.0071808274706971706971707681385070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adam Nightingale65595966605685USA4181,000,000$


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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
# 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
1Eric TangradiRoadrunners (PHX)LW511935542226061851805012710.56%2670713.870116280001130062.96%8100001.5300000212
2Ryan WhiteRoadrunners (PHX)C/LW512031512380306685135318514.81%1967513.24101527000004051.60%87600001.5100122342
3Anthony PelusoRoadrunners (PHX)RW51172845233204460138339412.32%3568913.52011328000000145.83%4800021.3100000222
4Zac DalpePhoenix CoyotesC491719361514018671403211312.14%780216.37461024159000062264.70%55800010.9001000330
5Thomas HickeyPhoenix CoyotesD43128291342053476117371.64%3799623.1811314491810221199000.00%000000.5800000122
6Brendan WoodsRoadrunners (PHX)LW51151328-1978108385113318113.27%3252410.2800000000002060.80%44900001.0700200420
7Brandon ManningRoadrunners (PHX)D46122232233540355317391.89%4075316.37055391370112137000.00%000000.6100010113
8Jan DrozgRoadrunners (PHX)RW519918-14208589730639.28%74047.9300000000001051.72%2900100.8900000011
9Frank CorradoRoadrunners (PHX)D51013132360653118590.00%253977.800000000000000.00%000000.6500000110
10Steven WhitneyRoadrunners (PHX)RW51459-4403121892122.22%91272.5000000000012018.18%1100001.4100000002
11Buddy RobinsonRoadrunners (PHX)LW/RW11011004144725.00%12424.680001800002000.00%200000.8100000001
12Julian MelchioriRoadrunners (PHX)D20111801629250.00%44623.030008900000000.00%000000.4300000000
Team Total or Average498104204308853554546156896626168110.77%242614912.3562632135581033436111357.25%205400131.0001332171715
Filter Tips
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
Team Total or Average0.0000.0000.000


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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")
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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
Anthony PelusoRW321989-04-18No225 Lbs6 ft3NoNoNo3UFAPro & Farm491,289$0$0$NoLink / NHL Link
Brad ThiessenG351986-03-19No180 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brandon ManningD311990-06-04No205 Lbs6 ft1NoNoNo1UFAPro & Farm1,849,068$0$0$NoLink / NHL Link
Brendan WoodsLW291992-06-11No210 Lbs6 ft4NoNoNo2UFAPro & Farm499,994$0$0$NoLink / NHL Link
Buddy RobinsonLW/RW301991-09-30No232 Lbs6 ft6NoNoNo3UFAPro & Farm499,523$0$0$NoLink / NHL Link
Darren ArchibaldLW311990-02-09No210 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dylan FergusonG231998-09-20No189 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Eric TangradiLW321989-02-10No226 Lbs6 ft4NoNoNo1UFAPro & Farm499,994$0$0$NoLink / NHL Link
Frank CorradoD281993-03-26No205 Lbs6 ft0NoNoNo3UFAPro & Farm494,527$0$0$NoLink / NHL Link
Jamie DevaneLW301991-02-20No232 Lbs6 ft5NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jan DrozgRW221999-04-01No174 Lbs6 ft2NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Julian MelchioriD291991-12-06No222 Lbs6 ft5NoNoNo3UFAPro & Farm491,289$0$0$NoLink / NHL Link
Martin OuelletteG291991-12-30No160 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Matt BartkowskiD331988-06-04No201 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nikita NesterovD281993-03-28No191 Lbs5 ft11NoNoNo2UFAPro & Farm300,000$0$0$NoLink
Ryan WhiteC/LW331988-03-17No200 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Steven WhitneyRW301991-02-18No168 Lbs5 ft7NoNoNo1UFAPro & Farm494,528$0$0$NoLink / NHL Link
Zach TrotmanD311990-08-26No217 Lbs6 ft3NoNoNo1UFAPro & Farm499,994$0$0$NoLink / NHL Link
Zane McIntyreG291992-08-20No206 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1929.74203 Lbs6 ft21.95537,906$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Eric TangradiRyan WhiteAnthony Peluso30122
3Brendan WoodsJan Drozg20122
4Brendan WoodsSteven Whitney10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Frank Corrado20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Eric TangradiRyan WhiteAnthony Peluso40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Eric Tangradi40122
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
2Eric Tangradi40122
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
, Jan Drozg, Steven Whitney, Jan DrozgSteven Whitney
Extra Defensemen
Normal PowerPlayPenalty Kill
, Frank Corrado, Frank Corrado,
Penalty Shots
, , Eric Tangradi, , Anthony Peluso
Goalie
#1 : , #2 :


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5121L21362393751400199862258799600
All Games
GPWLOTWOTL SOWSOLGFGA
519401100136266
Home Games
GPWLOTWOTL SOWSOLGFGA
27421110069133
Visitor Games
GPWLOTWOTL SOWSOLGFGA
24519000067133
Last 10 Games
WLOTWOTL SOWSOL
190000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2423112.81%2407867.50%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
49449440845147371
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
565141339.99%595163036.50%32882139.95%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9326481578362553238


Last Played Games
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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
1 - 2021-10-017Palm Springs3Roadrunners5WBoxScore
5 - 2021-10-0535Wolves6Roadrunners1LBoxScore
7 - 2021-10-0758Roadrunners5IceHogs6LBoxScore
8 - 2021-10-0868Stars6Roadrunners1LBoxScore
11 - 2021-10-1188Roadrunners1Rampage6LBoxScore
12 - 2021-10-12100Thunderbirds5Roadrunners0LBoxScore
15 - 2021-10-15117Roadrunners6Condors7LBoxScore
16 - 2021-10-16127Roadrunners0Checkers3LBoxScore
17 - 2021-10-17143Bears6Roadrunners5LBoxScore
20 - 2021-10-20164Rocket4Roadrunners3LXBoxScore
21 - 2021-10-21172Roadrunners1Marlies6LBoxScore
24 - 2021-10-24197Sound Tigers8Roadrunners6LBoxScore
27 - 2021-10-27215Roadrunners6Eagles2WBoxScore
28 - 2021-10-28228Gulls6Roadrunners4LBoxScore
30 - 2021-10-30243Roadrunners3Wolf Pack7LBoxScore
32 - 2021-11-01254Roadrunners6Palm Springs4WBoxScore
33 - 2021-11-02271Admirals4Roadrunners3LBoxScore
36 - 2021-11-05292Devils7Roadrunners1LBoxScore
38 - 2021-11-07305Roadrunners1Bruins5LBoxScore
40 - 2021-11-09323Wolves6Roadrunners0LBoxScore
43 - 2021-11-12341Roadrunners2Stars6LBoxScore
45 - 2021-11-14354Monsters3Roadrunners2LBoxScore
47 - 2021-11-16375Roadrunners3Sound Tigers7LBoxScore
48 - 2021-11-17386Roadrunners0Rampage5LBoxScore
49 - 2021-11-18397Rampage5Roadrunners0LBoxScore
53 - 2021-11-22422Roadrunners2Americans4LBoxScore
54 - 2021-11-23432Condors2Roadrunners5WBoxScore
57 - 2021-11-26454Stars8Roadrunners1LBoxScore
59 - 2021-11-28475Roadrunners2Condors7LBoxScore
60 - 2021-11-29486Rocket4Roadrunners0LBoxScore
62 - 2021-12-01506Roadrunners0Griffins9LBoxScore
64 - 2021-12-03518Thunderbirds8Roadrunners2LBoxScore
67 - 2021-12-06538Roadrunners2Senators6LBoxScore
68 - 2021-12-07549Roadrunners2Admirals8LBoxScore
69 - 2021-12-08560Penguins5Roadrunners1LBoxScore
71 - 2021-12-10583IceHogs5Roadrunners6WBoxScore
74 - 2021-12-13604Roadrunners2Wolf Pack4LBoxScore
75 - 2021-12-14614Roadrunners5Reign3WBoxScore
76 - 2021-12-15624Palm Springs4Roadrunners7WBoxScore
79 - 2021-12-18647Bears4Roadrunners5WXBoxScore
81 - 2021-12-20665Roadrunners7IceHogs4WBoxScore
82 - 2021-12-21675Roadrunners1Monsters6LBoxScore
84 - 2021-12-23687Senators3Roadrunners2LBoxScore
86 - 2021-12-25710Phantoms4Roadrunners3LBoxScore
89 - 2021-12-28725Roadrunners2Thunderbirds6LBoxScore
91 - 2021-12-30741Barracuda5Roadrunners1LBoxScore
93 - 2022-01-01761Roadrunners2Penguins7LBoxScore
95 - 2022-01-03775Crunch4Roadrunners3LBoxScore
97 - 2022-01-05794Roadrunners6Bears5WBoxScore
99 - 2022-01-07805Gulls3Roadrunners1LBoxScore
102 - 2022-01-10837Wolf Pack5Roadrunners1LBoxScore
104 - 2022-01-12853Roadrunners-Marlies-
105 - 2022-01-13864Roadrunners-Palm Springs-
107 - 2022-01-15873Americans-Roadrunners-
109 - 2022-01-17898Checkers-Roadrunners-
110 - 2022-01-18908Roadrunners-Checkers-
112 - 2022-01-20919Roadrunners-Wolves-
113 - 2022-01-21935Roadrunners-Heat-
114 - 2022-01-22942Comets-Roadrunners-
118 - 2022-01-26968Sound Tigers-Roadrunners-
119 - 2022-01-27984Roadrunners-Phantoms-
120 - 2022-01-28995Roadrunners-Moose-
122 - 2022-01-301007Heat-Roadrunners-
124 - 2022-02-011032Marlies-Roadrunners-
127 - 2022-02-041047Roadrunners-Comets-
128 - 2022-02-051061Roadrunners-Heat-
129 - 2022-02-061072Griffins-Roadrunners-
133 - 2022-02-101096Griffins-Roadrunners-
135 - 2022-02-121107Roadrunners-Devils-
137 - 2022-02-141123Roadrunners-Eagles-
139 - 2022-02-161133Eagles-Roadrunners-
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2022-02-201162Reign-Roadrunners-
145 - 2022-02-221183Roadrunners-Crunch-
146 - 2022-02-231192Americans-Roadrunners-
149 - 2022-02-261207Roadrunners-Phantoms-
151 - 2022-02-281226Wild-Roadrunners-
153 - 2022-03-021238Roadrunners-Gulls-
154 - 2022-03-031249Roadrunners-Wild-
155 - 2022-03-041256Roadrunners-Comets-
157 - 2022-03-061271Admirals-Roadrunners-
161 - 2022-03-101291Wild-Roadrunners-
162 - 2022-03-111302Roadrunners-Rocket-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance51,26725,867
Attendance PCT94.94%95.80%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
14 2857 - 95.23% 71,128$1,920,467$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
669,341$ 99,202$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 51,154$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
995,798$ 63 6,662$ 419,706$




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
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
158234290551823519540411913021151189424411516034031171011693235407642150806881211306416687772125653110816494278519.91%4586286.46%21130241046.89%1075255842.03%540113847.45%208014841948573955484
165194001100136266-130274210110069133-64245190000067133-66211362393750051473711400494494408419986225879962423112.81%2407867.50%1565141339.99%595163036.50%32882139.95%9326481578362553238
Total Regular Season35113915101220101910781101-23177717405115115605537174687707958518548-303611078185029282215139734026999104943257311129519662285243866785189032217.04%172832681.13%1654511048751.98%49421015748.66%2740524452.25%883164038412240540242019
Playoff
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
Total Playoff19109000004045-5835000001424-101174000002621520406710704013101442601231471324831322703451292217.05%1161289.66%028461346.33%29161747.16%12326546.42%440297512152242115