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Tucson Roadrunners
GP: 37 | W: 13 | L: 21 | OTL: 3 | P: 29
GF: 90 | GA: 121 | PP%: 41.38% | PK%: 65.35%
GM : Mika Laakso | Morale : 32 | Team Overall : 50
Next Games #586 vs Toronto Marlies
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Game Center
Tucson Roadrunners
13-21-3, 29pts
2
FINAL
3 Grand Rapids Griffins
14-17-5, 33pts
Team Stats
L4StreakW2
8-10-0Home Record10-7-1
5-11-3Home Record4-10-4
3-6-1Last 10 Games4-5-1
2.43Goals Per Game2.92
3.27Goals Against Per Game3.44
41.38%Power Play Percentage25.24%
65.35%Penalty Kill Percentage55.29%
Providence Bruins
17-18-3, 37pts
7
FINAL
1 Tucson Roadrunners
13-21-3, 29pts
Team Stats
L1StreakL4
9-7-2Home Record8-10-0
8-11-1Home Record5-11-3
2-7-1Last 10 Games3-6-1
3.47Goals Per Game2.43
3.55Goals Against Per Game3.27
35.00%Power Play Percentage41.38%
66.67%Penalty Kill Percentage65.35%
Tucson Roadrunners
13-21-3, 29pts
Day 85
Toronto Marlies
20-13-3, 43pts
Team Stats
L4StreakW1
8-10-0Home Record10-5-3
5-11-3Away Record10-8-0
3-6-1Last 10 Games7-3-0
2.43Goals Per Game3.28
3.27Goals Against Per Game3.28
41.38%Power Play Percentage39.50%
65.35%Penalty Kill Percentage69.66%
Bridgeport Islanders
13-19-6, 32pts
Day 87
Tucson Roadrunners
13-21-3, 29pts
Team Stats
SOL1StreakL4
8-7-3Home Record8-10-0
5-12-3Away Record5-11-3
1-7-2Last 10 Games3-6-1
3.47Goals Per Game2.43
4.05Goals Against Per Game2.43
33.33%Power Play Percentage41.38%
59.85%Penalty Kill Percentage65.35%
Tucson Roadrunners
13-21-3, 29pts
Day 89
San Jose Barracuda
17-13-5, 39pts
Team Stats
L4StreakW2
8-10-0Home Record11-3-4
5-11-3Away Record6-10-1
3-6-1Last 10 Games3-6-1
2.43Goals Per Game2.89
3.27Goals Against Per Game2.89
41.38%Power Play Percentage27.08%
65.35%Penalty Kill Percentage71.43%
Team Leaders
Max WillmanGoals
Max Willman
14
John LeonardAssists
John Leonard
17
Jan JenikPoints
Jan Jenik
28
Travis BarronPlus/Minus
Travis Barron
8
Kenneth ApplebyWins
Kenneth Appleby
7
Matt VillaltaSave Percentage
Matt Villalta
0.889

Team Stats
Goals For
90
2.43 GFG
Shots For
810
21.89 Avg
Power Play Percentage
41.4%
36 GF
Offensive Zone Start
33.9%
Goals Against
121
3.27 GAA
Shots Against
1041
28.14 Avg
Penalty Kill Percentage
65.4%%
44 GA
Defensive Zone Start
37.6%
Team Info

General ManagerMika Laakso
CoachAndre Tourigny
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,775
Season Tickets0


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 60
Prospects30


Team History

This Season13-21-3 (29PTS)
History22-41-7 (0.314%)
Playoff Appearances0
Playoff Record (W-L)0 - 0
Stanley Cup0


Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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
1Waltteri Merela0X100.007237958084739252355255723040384448600261870,000$
2Milos Kelemen0X100.007847608783688452305551623034374940590251817,500$
3Jan Jenik0X100.005138737266698553376362663033355737580241775,000$
4Travis Boyd0X100.0056309961607243535562606132585428275603111,750,000$
5John Leonard0X100.005030907262668853305360613139414348560261775,000$
6Justin Kirkland0X100.006230886965676750655051573038423333540281775,000$
7Aku Raty (R)0X100.005030915250777756307251493032346043530232896,250$
8Travis Barron0X100.005654534072608744303739543035392850460261775,000$
9Nathan Smith0X100.002930816050658048404339433035384740460261775,000$
10Curtis Douglas (R)0X100.007099253299557843404033423033362848440241837,500$
11Ben McCartney0X100.003238585755546843304234423032346032430231813,333$
12Sam Lipkin (R)0X100.004230944066403530303129413029302923370211775,000$
13Jordan Oesterle0X100.005730996758767350305249673063562925570321925,000$
14Maksymilian Szuber (R)0X100.005133746769839050305049673031326835560223859,167$
15Cameron Crotty0X100.006430875965697750305051603034375141540251775,000$
16Patrik Koch0X100.007064425066688449304950593037423340530281847,500$
17Dawson Barteaux (R)0X100.004030995161616742304134523031343020460241775,000$
18Montana Onyebuchi (R)0X100.007099253188617137303431493032352937460242825,000$
Scratches
1Max Willman0X70.905730958358697352355262613042452833570291775,000$
2Dino Kambeitz (R)0X100.0062308736796377413034375030313430204402400$
3Ryan McGregor0X100.0044309844625967394038334830323530204202500$
4Riley McKay0X100.0053992537696068383035334530323530204102500$
5Tarun Fizer (R)0X100.0030309949425455353033324330303230203902300$
6Connor MacEachern0X100.0035309944524733313038304230323530203802500$
7Travis Dermott0X100.006230816870847256305554743056493620610281800,000$
8Vladislav Kolyachonok0X100.005130956766746457307161663033346445590231789,167$
9Marshall Rifai0X100.006349575077737950354950563035384331530262775,000$
TEAM AVERAGE98.92544277566665724634474555303738403350
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.
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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
1Matt Villalta099.00539470745371686865505033445259610251775,000$
2Kenneth Appleby0100.00506950945052616264505037542956570291775,000$
Scratches
1Strauss Mann0100.00326342553335404138563033454523410261775,000$
2Michael Houser0100.00345635643034363534303840603024390321775,000$
TEAM AVERAGE99.7542714972424851525047423651394150
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Andre Tourigny23232424102350CAN491500,000$


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
1Jan JenikTucson Roadrunners (UTA)C30121628-440344460203220.00%1253217.7639127340001662145.43%350187011.0501000212
2Waltteri MerelaTucson Roadrunners (UTA)RW30121628-120476281395514.81%1562720.9257121239011073249.23%652824000.8911000401
3John LeonardTucson Roadrunners (UTA)LW3571724-116045577529439.33%966419.0028102350001282141.67%363012000.7200000113
4Milos KelemenTucson Roadrunners (UTA)LW2871421-810051429226437.61%1552418.74471112350000503046.38%692715000.8012000220
5Vladislav KolyachonokTucson Roadrunners (UTA)D3021719-54031503712245.41%3477025.70279756000067100%02423000.4900000011
6Max WillmanTucson Roadrunners (UTA)C3514519-1640495394266014.89%1363818.25831113290003531143.55%3104420000.6003000112
7Aku RatyTucson Roadrunners (UTA)RW3741418-108039526327356.35%1770519.071788460001180041.30%461616000.5101000000
8Travis BarronTucson Roadrunners (UTA)LW37781584759261329821.88%1363517.163034231011490145.83%24121000.4701001011
9Travis BoydTucson Roadrunners (UTA)C348311520274950132616.00%1853815.852025330003530059.41%2711417000.4102000130
10Logan CooleyUtah Hockey ClubC62810-40078144914.29%512320.5026837000080162.00%15072001.6300000110
11Justin KirklandTucson Roadrunners (UTA)C33639-12021233481217.65%83269.8900006000020059.62%104106000.5500000000
12Cameron CrottyTucson Roadrunners (UTA)D37246-136029442610137.69%3377320.91202237000078000%01124000.1600000000
13Maksymilian SzuberTucson Roadrunners (UTA)D20066-4140103816850%1440020.02022115000028000%0725000.3000000000
14Ben McCartneyTucson Roadrunners (UTA)LW31145-101002224218164.76%434811.2400000000030012.50%857000.2900000000
15Travis DermottTucson Roadrunners (UTA)D1713411002434316103.23%2042324.92123731000045010%0711000.1900000100
16Curtis DouglasTucson Roadrunners (UTA)C37134-66830413595911.11%73689.97000020000160043.43%29724000.2200312000
17Patrik KochTucson Roadrunners (UTA)D37123-13152649201495.00%2457815.64000013000047000%0621000.1000010000
18Sam LipkinTucson Roadrunners (UTA)RW23123-800223152620.00%534114.8500007000000025.00%808000.1800000000
19Jordan OesterleTucson Roadrunners (UTA)D30022-162014422510130%3662220.76011129000253000%0426000.0600000000
20Marshall RifaiTucson Roadrunners (UTA)D2911223204116104310.00%1644315.31101217000037000%0320000.0900000000
21Dawson BarteauxTucson Roadrunners (UTA)D5000-400132110%48917.930000000004000%00000000000000
22Montana OnyebuchiTucson Roadrunners (UTA)D28000-6722036236130%1239113.990000100004000%00700000103000
23Nathan SmithTucson Roadrunners (UTA)C37000-340577150%31163.1500002000000020.00%101100000000000
Team Total or Average66689148237-1153386071484781028344010.99%3371098716.50365995865081121272812848.80%1748265317010.43211426131110
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
1Kenneth ApplebyTucson Roadrunners (UTA)177810.8823.10986005143427311001616011
2Matt VillaltaTucson Roadrunners (UTA)2161320.8893.2012560067606353000.72711214014
Team Total or Average38132130.8873.16224300118104062611113720025


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aku RatyTucson Roadrunners (UTA)RW232001-07-05FINYes170 Lbs6 ft0NoNoFree AgentNoNo22024-08-09FalseFalsePro & Farm896,250$0$0$No896,250$--------896,250$--------No--------Link / NHL Link
Ben McCartneyTucson Roadrunners (UTA)LW232001-07-13CANNo182 Lbs6 ft0NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm813,333$0$0$No---------------------------NHL Link
Cameron CrottyTucson Roadrunners (UTA)D251999-05-05CANNo182 Lbs6 ft3NoNoFree AgentNoNo12024-08-22FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Connor MacEachernTucson Roadrunners (UTA)RW251999-07-30CANNo185 Lbs5 ft10NoNoFree AgentNoNo02024-02-25FalseFalsePro & Farm0$0$No---------------------------NHL Link
Curtis DouglasTucson Roadrunners (UTA)C242000-03-06CANYes243 Lbs6 ft9NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm837,500$0$0$No---------------------------NHL Link
Dawson BarteauxTucson Roadrunners (UTA)D242000-01-12CANYes190 Lbs6 ft1NoNoFree AgentNoNo12024-12-03FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Dino KambeitzTucson Roadrunners (UTA)RW242000-01-25USAYes212 Lbs6 ft2NoNoFree AgentNoNo02024-02-23FalseFalsePro & Farm0$0$No---------------------------NHL Link
Jan JenikTucson Roadrunners (UTA)C242000-09-15CZENo185 Lbs6 ft1NoNoFree AgentNoNo12024-08-07FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
John LeonardTucson Roadrunners (UTA)LW261998-08-07USANo196 Lbs5 ft11NoNoFree AgentNoNo12024-08-27FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Jordan Oesterle (1 Way Contract)Tucson Roadrunners (UTA)D321992-06-25USANo187 Lbs6 ft0NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm925,000$0$0$No---------------------------NHL Link
Justin KirklandTucson Roadrunners (UTA)C281996-08-02CANNo183 Lbs6 ft3NoNoFree AgentNoNo12024-08-28FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Kenneth ApplebyTucson Roadrunners (UTA)G291995-04-10CANNo216 Lbs6 ft5NoNoFree AgentNoNo12024-02-21FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Maksymilian SzuberTucson Roadrunners (UTA)D222002-08-25POLYes190 Lbs6 ft3NoNoFree AgentNoNo32024-08-08FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------Link / NHL Link
Marshall Rifai (1 Way Contract)Tucson Roadrunners (UTA)D261998-03-16CANNo205 Lbs6 ft2NoNoFree AgentNoNo22024-08-24FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------NHL Link
Matt Villalta (1 Way Contract)Tucson Roadrunners (UTA)G251999-06-03CANNo190 Lbs6 ft3NoNoTrade2024-08-23NoNo12024-08-22FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Max WillmanTucson Roadrunners (UTA)C291995-02-13USANo184 Lbs6 ft0NoNoFree AgentNoNo12024-08-28FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Michael HouserTucson Roadrunners (UTA)G321992-09-13USANo185 Lbs6 ft1NoNoFree AgentNoNo12024-08-26FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Milos KelemenTucson Roadrunners (UTA)LW251999-07-06SVKNo210 Lbs6 ft2NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm817,500$0$0$No---------------------------NHL Link
Montana OnyebuchiTucson Roadrunners (UTA)D242000-03-08CANYes220 Lbs6 ft3NoNoFree AgentNoNo22024-08-22FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------NHL Link
Nathan SmithTucson Roadrunners (UTA)C261998-10-19USANo177 Lbs6 ft0NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Patrik KochTucson Roadrunners (UTA)D281996-12-08SVKNo190 Lbs6 ft1NoNoFree AgentNoNo12024-08-22FalseFalsePro & Farm847,500$0$0$No---------------------------Link / NHL Link
Riley McKayTucson Roadrunners (UTA)LW251999-03-07CANNo203 Lbs6 ft0NoNoFree AgentNoNo02024-02-26FalseFalsePro & Farm0$0$No---------------------------NHL Link
Ryan McGregorTucson Roadrunners (UTA)C251999-01-29CANNo194 Lbs6 ft0NoNoFree AgentNoNo02024-02-05FalseFalsePro & Farm0$0$No---------------------------NHL Link
Sam LipkinTucson Roadrunners (UTA)RW212003-01-03USAYes192 Lbs6 ft2NoNoFree AgentNoNo12024-08-09FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Strauss MannTucson Roadrunners (UTA)G261998-08-18USANo174 Lbs6 ft0NoNoFree AgentNoNo12024-09-30FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Tarun FizerTucson Roadrunners (UTA)RW232001-03-01CANYes168 Lbs5 ft11NoNoFree AgentNoNo02024-02-23FalseFalsePro & Farm0$0$No---------------------------NHL Link
Travis BarronTucson Roadrunners (UTA)LW261998-08-17CANNo205 Lbs6 ft1NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Travis Boyd (1 Way Contract)Tucson Roadrunners (UTA)C311993-09-14USANo190 Lbs6 ft0NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm1,750,000$600,000$348,485$No---------------------------NHL Link
Travis DermottTucson Roadrunners (UTA)D281996-12-22CANNo202 Lbs6 ft0NoNoFree AgentNoNo12024-08-09FalseFalsePro & Farm800,000$0$0$No---------------------------NHL Link
Vladislav KolyachonokTucson Roadrunners (UTA)D232001-05-26BLRNo193 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm789,167$0$0$No---------------------------NHL Link
Waltteri Merela (1 Way Contract)Tucson Roadrunners (UTA)RW261998-07-06FINNo210 Lbs6 ft3NoNoFree AgentNoNo12024-08-26FalseFalsePro & Farm870,000$0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.74194 Lbs6 ft11.00705,820$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Milos KelemenCurtis DouglasJohn Leonard40122
2Travis BarronJan JenikAku Raty30122
3Ben McCartneyWaltteri MerelaSam Lipkin20122
4Milos KelemenJan JenikAku Raty10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleDawson Barteaux40122
2Cameron CrottyMaksymilian Szuber30122
3Patrik KochMontana Onyebuchi20122
4Maksymilian SzuberCameron Crotty10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Waltteri MerelaJan JenikMilos Kelemen60122
2Travis BarronJohn LeonardAku Raty40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Maksymilian SzuberJordan Oesterle60122
2Cameron CrottyPatrik Koch40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jan JenikMilos Kelemen60122
2Aku RatyTravis Barron40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Patrik KochMaksymilian Szuber60122
2Cameron CrottyJordan Oesterle40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jan Jenik60122Patrik KochMontana Onyebuchi60122
2Travis Barron40122Cameron CrottyMaksymilian Szuber40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jan JenikAku Raty60122
2Milos KelemenTravis Barron40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan OesterleMaksymilian Szuber60122
2Cameron CrottyPatrik Koch40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Milos KelemenJan JenikWaltteri MerelaJordan OesterleMaksymilian Szuber
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Milos KelemenJan JenikWaltteri MerelaJordan OesterleMaksymilian Szuber
Extra Forwards
Normal PowerPlayPenalty Kill
Jan Jenik, Travis Barron, Aku RatyJan Jenik, Aku RatyJan Jenik
Extra Defensemen
Normal PowerPlayPenalty Kill
Cameron Crotty, Patrik Koch, Montana OnyebuchiPatrik KochCameron Crotty, Patrik Koch
Penalty Shots
Jan Jenik, Travis Barron, Aku Raty, Waltteri Merela, Milos Kelemen
Goalie
#1 : Kenneth Appleby, #2 : Matt Villalta
Custom OT Lines Forwards
Jan Jenik, Milos Kelemen, John Leonard, Waltteri Merela, Ben McCartney, Sam Lipkin, Sam Lipkin, Aku Raty, Nathan Smith, Travis Barron, Curtis Douglas
Custom OT Lines Defensemen
Montana Onyebuchi, Dawson Barteaux, Cameron Crotty, Jordan Oesterle, Patrik Koch


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.
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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")
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
1Abbotsford Canucks11000000541000000000001100000054121.000581300183335532183281328292186243133.33%3166.67%031558553.85%29264944.99%24649050.20%708326744366793408
2Bakersfield Condors1010000035-2000000000001010000035-200.00034700183335521183281328292784244250.00%12-100.00%031558553.85%29264944.99%24649050.20%708326744366793408
3Bridgeport Islanders1010000012-1000000000001010000012-100.00012300183335519183281328292554222150.00%20100.00%031558553.85%29264944.99%24649050.20%708326744366793408
4Charlotte Checkers1010000003-31010000003-30000000000000.000000001833355141832813282933182011200.00%5340.00%031558553.85%29264944.99%24649050.20%708326744366793408
5Chicago Wolves22000000862110000004311100000043141.000812200018333553818328132829481618454375.00%9277.78%031558553.85%29264944.99%24649050.20%708326744366793408
6Colorado Eagles21001000642110000004311000100021141.0006915001833355341832813282931134475360.00%20100.00%031558553.85%29264944.99%24649050.20%708326744366793408
7Grand Rapids Griffins1010000023-1000000000001010000023-100.00024600183335515183281328292951018000%5180.00%031558553.85%29264944.99%24649050.20%708326744366793408
8Hartford Wolf Pack11000000312110000003120000000000021.00033600183335533183281328292879114375.00%20100.00%031558553.85%29264944.99%24649050.20%708326744366793408
9Henderson Silver Knights1010000013-2000000000001010000013-200.000112001833355141832813282937131417300.00%2150.00%031558553.85%29264944.99%24649050.20%708326744366793408
10Hershey Bears1010000004-4000000000001010000004-400.00000000183335515183281328293013615100.00%30100.00%031558553.85%29264944.99%24649050.20%708326744366793408
11Iowa Wild20200000610-41010000045-11010000025-300.000610160018333555418328132829693922387342.86%11736.36%031558553.85%29264944.99%24649050.20%708326744366793408
12Laval Rocket1010000045-11010000045-10000000000000.00047110018333552818328132829369122022100.00%6350.00%031558553.85%29264944.99%24649050.20%708326744366793408
13Lehigh Valley Phantoms1010000002-2000000000001010000002-200.000000001833355221832813282940161417100.00%7185.71%031558553.85%29264944.99%24649050.20%708326744366793408
14Manitoba Moose30200001813-51010000024-22010000169-310.167815230018333558418328132829812424688225.00%12466.67%031558553.85%29264944.99%24649050.20%708326744366793408
15Milwaukee Admirals3020100049-52010100035-21010000014-320.33346100018333555018328132829672318677228.57%9277.78%031558553.85%29264944.99%24649050.20%708326744366793408
16Providence Bruins1010000017-61010000017-60000000000000.00012300183335515183281328293691117200.00%220.00%031558553.85%29264944.99%24649050.20%708326744366793408
17Rochester Americans1000000123-1000000000001000000123-110.500246001833355231832813282939121018000%5180.00%031558553.85%29264944.99%24649050.20%708326744366793408
18Rockford IceHogs3110010069-32110000057-21000010012-130.500691500183335578183281328291003533618450.00%14378.57%031558553.85%29264944.99%24649050.20%708326744366793408
19San Jose Barracuda11000000413110000004130000000000021.0004812001833355241832813282928711172150.00%30100.00%031558553.85%29264944.99%24649050.20%708326744366793408
20Springfield Thunderbirds2020000037-41010000035-21010000002-200.0003470018333555318328132829571513253133.33%4250.00%131558553.85%29264944.99%24649050.20%708326744366793408
21Syracuse Crunch11000000312000000000001100000031221.00035800183335522183281328299141811100.00%2150.00%031558553.85%29264944.99%24649050.20%708326744366793408
22Texas Stars30101010981201000102201000100076140.6679152400183335561183281328298522445210550.00%12650.00%031558553.85%29264944.99%24649050.20%708326744366793408
23Utica Comets11000000835110000008350000000000021.00081523001833355361832813282932602422100.00%000%031558553.85%29264944.99%24649050.20%708326744366793408
24Wilkes-Barre/Scranton Penguins2020000038-51010000014-31010000024-200.000358101833355251832813282953132738600.00%6266.67%031558553.85%29264944.99%24649050.20%708326744366793408
Total379210311290121-3118610010104858-1019311021024263-21290.39290148238101833355810183281328291041337338714873641.38%1274465.35%131558553.85%29264944.99%24649050.20%708326744366793408
_Since Last GM Reset379210311290121-3118610010104858-1019311021024263-21290.39290148238101833355810183281328291041337338714873641.38%1274465.35%131558553.85%29264944.99%24649050.20%708326744366793408
_Vs Conference22610031116072-121145010102830-21125021013242-10220.500609715700183335549018328132829594208198460612642.62%782864.10%031558553.85%29264944.99%24649050.20%708326744366793408
_Vs Division1848031114260-181035010102331-8813021011929-10180.500426811000183335541418328132829490171158358482041.67%642462.50%131558553.85%29264944.99%24649050.20%708326744366793408

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3729L490148238810104133733871410
All Games
GPWLOTWOTL SOWSOLGFGA
37921311290121
Home Games
GPWLOTWOTL SOWSOLGFGA
1861010104858
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1931121024263
Last 10 Games
WLOTWOTL SOWSOL
360001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
873641.38%1274465.35%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
183281328291833355
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
31558553.85%29264944.99%24649050.20%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
708326744366793408


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
15Texas Stars1Tucson Roadrunners2WXXBoxScore
317Tucson Roadrunners1Milwaukee Admirals4LBoxScore
637Milwaukee Admirals3Tucson Roadrunners0LBoxScore
959Tucson Roadrunners3Manitoba Moose4LXXBoxScore
1175Manitoba Moose4Tucson Roadrunners2LBoxScore
1396Colorado Eagles3Tucson Roadrunners4WBoxScore
14109Tucson Roadrunners2Iowa Wild5LBoxScore
16125Iowa Wild5Tucson Roadrunners4LBoxScore
17131Tucson Roadrunners1Rockford IceHogs2LXBoxScore
19150Tucson Roadrunners4Chicago Wolves3WBoxScore
21167Tucson Roadrunners5Abbotsford Canucks4WBoxScore
24187Tucson Roadrunners7Texas Stars6WXBoxScore
25190Rockford IceHogs5Tucson Roadrunners2LBoxScore
31217Tucson Roadrunners2Colorado Eagles1WXBoxScore
32224Chicago Wolves3Tucson Roadrunners4WBoxScore
35234Tucson Roadrunners3Bakersfield Condors5LBoxScore
37252Wilkes-Barre/Scranton Penguins4Tucson Roadrunners1LBoxScore
39267Tucson Roadrunners2Wilkes-Barre/Scranton Penguins4LBoxScore
40282Milwaukee Admirals2Tucson Roadrunners3WXBoxScore
43299Tucson Roadrunners1Bridgeport Islanders2LBoxScore
44313Tucson Roadrunners1Henderson Silver Knights3LBoxScore
46322San Jose Barracuda1Tucson Roadrunners4WBoxScore
49347Tucson Roadrunners0Hershey Bears4LBoxScore
50356Springfield Thunderbirds5Tucson Roadrunners3LBoxScore
52377Texas Stars1Tucson Roadrunners0LBoxScore
55396Tucson Roadrunners0Lehigh Valley Phantoms2LBoxScore
58411Utica Comets3Tucson Roadrunners8WBoxScore
60429Tucson Roadrunners2Rochester Americans3LXXBoxScore
61436Tucson Roadrunners0Springfield Thunderbirds2LBoxScore
63447Hartford Wolf Pack1Tucson Roadrunners3WBoxScore
66468Tucson Roadrunners3Manitoba Moose5LBoxScore
67478Rockford IceHogs2Tucson Roadrunners3WBoxScore
71503Tucson Roadrunners3Syracuse Crunch1WBoxScore
72512Charlotte Checkers3Tucson Roadrunners0LBoxScore
76540Laval Rocket5Tucson Roadrunners4LBoxScore
78553Tucson Roadrunners2Grand Rapids Griffins3LBoxScore
80570Providence Bruins7Tucson Roadrunners1LBoxScore
85586Tucson Roadrunners-Toronto Marlies-
87600Bridgeport Islanders-Tucson Roadrunners-
89615Tucson Roadrunners-San Jose Barracuda-
92627Calgary Wranglers-Tucson Roadrunners-
94643Tucson Roadrunners-Utica Comets-
95659Chicago Wolves-Tucson Roadrunners-
97674Tucson Roadrunners-Rockford IceHogs-
99688Belleville Senators-Tucson Roadrunners-
103708Tucson Roadrunners-Texas Stars-
105722Tucson Roadrunners-Colorado Eagles-
106730Cleveland Monsters-Tucson Roadrunners-
108754Tucson Roadrunners-Hartford Wolf Pack-
110762Bakersfield Condors-Tucson Roadrunners-
113786Henderson Silver Knights-Tucson Roadrunners-
115800Tucson Roadrunners-Belleville Senators-
116815Lehigh Valley Phantoms-Tucson Roadrunners-
119836Tucson Roadrunners-Providence Bruins-
120852Ontario Reign-Tucson Roadrunners-
123876Colorado Eagles-Tucson Roadrunners-
125892Tucson Roadrunners-Coachella Valley Firebirds-
128907Tucson Roadrunners-Chicago Wolves-
142916Syracuse Crunch-Tucson Roadrunners-
146942Coachella Valley Firebirds-Tucson Roadrunners-
148962Iowa Wild-Tucson Roadrunners-
149967Tucson Roadrunners-San Diego Gulls-
153993Tucson Roadrunners-Ontario Reign-
1551003Abbotsford Canucks-Tucson Roadrunners-
1571015Tucson Roadrunners-Charlotte Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1591033Rochester Americans-Tucson Roadrunners-
1611042Tucson Roadrunners-Iowa Wild-
1641065Hershey Bears-Tucson Roadrunners-
1661081Tucson Roadrunners-Cleveland Monsters-
1681098Grand Rapids Griffins-Tucson Roadrunners-
1691102Tucson Roadrunners-Laval Rocket-
1731134Toronto Marlies-Tucson Roadrunners-
1751154San Diego Gulls-Tucson Roadrunners-
1781170Tucson Roadrunners-Calgary Wranglers-
1831193Manitoba Moose-Tucson Roadrunners-
1851199Tucson Roadrunners-Milwaukee Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance33,31916,637
Attendance PCT92.55%92.43%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
20 2775 - 92.51% 117,190$2,109,423$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
910,684$ 1,678,542$ 1,678,542$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 692,248$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,343,803$ 107 11,466$ 1,226,862$




Tucson 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
1John Leonard65263157-1788510517614.77%28119618.4161016800023242.19%00.9502
2Justin Kirkland63162036-82647911513.91%1883413.24257401131058.51%00.8601
3Jan Jenik53151934-1821756810614.15%2493617.6739121000013144.30%10.7301
4Milos Kelemen58132134-2631101871528.55%30100317.3057121410123044.05%00.6813
5Nathan Smith67122234-10864698813.64%2474511.124812801110050.45%00.9101

Tucson Roadrunners Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Kenneth Appleby177810.8823.1098600514342731100
2Matt Villalta2161320.8893.2012560067606353000.72711
3Matthew Villalta2141100.8474.5910200078509312101.0009
4Strauss Mann113510.7985.2243700381881131000
5Christopher Gibson82400.8295.0635600301751010000

Tucson 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
2023305200212093146-531558010105157-615012011104289-47199314523800124730479518831927422872274264674832428.92%974454.64%224650648.62%26449553.33%23746950.53%578273590308646319
2024379210311290121-3118610010104858-1019311021024263-212990148238101833355810183281328291041337338714873641.38%1274465.35%131558553.85%29264944.99%24649050.20%708326744366793408
Total Regular Season67144105232183267-843311180202099115-16343230321284152-6848183293476103080659160537160060251191361160213881706035.29%2248860.71%3561109151.42%556114448.60%48395950.36%128659913356751439727
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Tucson 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

Tucson Roadrunners Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA