Connexion

Tucson Roadrunners
GP: 30 | W: 9 | L: 20 | OTL: 1 | P: 19
GF: 93 | GA: 146 | PP%: 28.92% | PK%: 54.64%
DG: Mika Laakso | Morale : 32 | Moyenne d’équipe : 46
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Centre de jeu
Tucson Roadrunners
9-20-1, 19pts
1
FINAL
4 Coachella Valley Firebirds
14-13-2, 30pts
Team Stats
L5SéquenceW2
7-8-0Fiche domicile8-6-1
2-12-1Fiche domicile6-7-1
1-9-0Derniers 10 matchs7-2-1
3.10Buts par match 2.97
4.87Buts contre par match 3.03
28.92%Pourcentage en avantage numérique37.29%
54.64%Pourcentage en désavantage numérique78.38%
Tucson Roadrunners
9-20-1, 19pts
5
FINAL
6 Ontario Reign
17-8-5, 39pts
Team Stats
L5SéquenceW1
7-8-0Fiche domicile8-5-2
2-12-1Fiche domicile9-3-3
1-9-0Derniers 10 matchs4-2-4
3.10Buts par match 3.60
4.87Buts contre par match 3.40
28.92%Pourcentage en avantage numérique43.42%
54.64%Pourcentage en désavantage numérique56.92%
Meneurs d'équipe
John LeonardButs
John Leonard
19
Nathan SmithPasses
Nathan Smith
22
Nathan SmithPoints
Nathan Smith
34
Plus/Moins
Sakari Manninen
0
Matthew VillaltaVictoires
Matthew Villalta
4
Matthew VillaltaPourcentage d’arrêts
Matthew Villalta
0.847

Statistiques d’équipe
Buts pour
93
3.10 GFG
Tirs pour
795
26.50 Avg
Pourcentage en avantage numérique
28.9%
24 GF
Début de zone offensive
34.4%
Buts contre
146
4.87 GAA
Tirs contre
872
29.07 Avg
Pourcentage en désavantage numérique
54.6%%
44 GA
Début de la zone défensive
33.7%
Informations de l'équipe

Directeur généralMika Laakso
EntraîneurAndre Tourigny
DivisionCentral Division
ConférenceWestern Conference
CapitaineMichael Carcone
Assistant #1Michael Kesselring
Assistant #2John Leonard


Informations de l’aréna

Capacité3,000
Assistance2,787
Billets de saison0


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 60
Espoirs30


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1John Leonard (A)0X98.005330975663779158305264733138394450570251775,000$
2Milos Kelemen0X100.007677805184689150305054553034374941540242817,500$
3Nathan Smith0X96.005230826054678752455352713035384746540251883,750$
4Justin Kirkland0X100.005430935568676252665252553536413436530271775,000$
5Jan Jenik0X98.006242636064645650305050613033355829520231795,000$
6Dino Kambeitz (R)0X100.006331813280698341303635513032355441450241775,000$
7Markus Nurmi0X100.005530953785607045303940443033374420450251925,000$
8Curtis Douglas (R)0X100.007199253199578341403537363032355746440242837,500$
9Travis Barron0X100.005571373472547241303635473034384232420251775,000$
10Joe Carroll (R)0X100.004330994369463732303334463031335935400231775,000$
11Ben McCartney0X100.003337644755556739403535373031336135400222813,333$
12Michael Kesselring (R) (A)0X98.005334746670838755306553653033355547590242925,000$
13Vladislav Kolyachonok0X98.005133725766829151305151703033346440570222789,167$
14Cameron Crotty0X98.006230863182598446303830413033365242470251925,000$
15Steven Kampfer0X98.004835813063597948304536353058582941460351775,000$
16Montana Onyebuchi (R)0X100.005160493774525936303532403032355436430241775,000$
17Dawson Barteaux (R)0X100.003930993862403129302930403032355533380241775,000$
Rayé
1Michael Carcone (C)0X100.005179256842849772306961633038413451600281775,000$
2Zach Sanford0X100.006440685081818158305257703056503019580291850,000$
3Sakari Manninen0X94.003030884648567454304944463040522934460321775,000$
4Ryan McGregor0X100.003030915044657943403440483032355020430251803,333$
5Ben Tardif (R)0X100.004230994062556036303632483031345520410241775,000$
6Jake Wise (R)0X100.004030995255403031304130433031345920400241775,000$
7Josh Doan (R)0X84.773330994857504134303334423030327226390221775,000$
8Riley McKay0X100.005399253469514935303532403032355020390251775,000$
9Tarun Fizer (R)0X100.003030974742423230303030423030326020360231775,000$
10Connor MacEachern0X100.003530993852403230303030433032355020360241775,000$
11Travis Dermott0X100.0057309950697739513050566330524737205502711,500,000$
12Olli Juolevi0X100.003330884363526139304131363036385620420261775,000$
13Patrick Kudla0X100.004030993365403230303030413040403420390281775,000$
MOYENNE D’ÉQUIPE98.76494278456560654433424150303638493246
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matthew Villalta (R)096.00466849784949464647425033445247490241787,500$
2Strauss Mann0100.00406746554143444443304434454429430251925,000$
Rayé
1Christopher Gibson0100.00406747844546474744303641613028480311775,000$
2Kenneth Appleby0100.00305434943031363232303436533025400292775,000$
MOYENNE D’ÉQUIPE99.0039644478414243424233413651393245
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andre Tourigny2525252512550CAN481500,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Nathan SmithTucson Roadrunners (ARZ)C30122234-740596281367514.81%2162820.9548128520111460050.85%7651213001.0801000201
2John LeonardTucson Roadrunners (ARZ)LW30191433-6204048101346618.81%1953217.734266360001261142.86%281514001.2402000220
3Justin KirklandTucson Roadrunners (ARZ)C30101727-700435681295312.35%1050716.932574470113141058.09%2721710001.0601000011
4Michael KesselringTucson Roadrunners (ARZ)D3052126-2225546599235485.43%3177925.98257967000163000%03022000.6700100000
5Michael CarconeTucson Roadrunners (ARZ)LW21101525-65325533977304412.99%1145721.79561111400000381138.89%362410001.0912203131
6Sakari ManninenTucson Roadrunners (ARZ)RW219514075163446142419.57%1241219.671011220000192049.15%59108000.6811010011
7Milos KelemenTucson Roadrunners (ARZ)LW306713-18215504560185310.00%1547815.961012431012150033.33%15205000.5401100102
8Vladislav KolyachonokTucson Roadrunners (ARZ)D3021113-2033530625720233.51%3177625.87224666000362000%01825000.3300001100
9Dino KambeitzTucson Roadrunners (ARZ)RW304711-516052472452216.67%1950716.93134249000060058.06%3139000.4300000000
10Cameron CrottyTucson Roadrunners (ARZ)D30088-3135303113270%1361620.54022046000044000%0312000.2600001001
11Zach SanfordTucson Roadrunners (ARZ)LW10347-28030142671911.54%917317.37112316000070034.04%47106000.8100000000
12Curtis DouglasTucson Roadrunners (ARZ)C30246-1537158433246228.33%843814.60000041011200150.00%136410000.2700300100
13Jan JenikTucson Roadrunners (ARZ)RW23336-1417541244620306.52%1240317.56000321000011029.63%27123000.3000001000
14Steven KampferTucson Roadrunners (ARZ)D30246-46019161810811.11%3762620.8810114702225000100.00%1310100.1900000010
15Josh DoanTucson Roadrunners (ARZ)RW22314-16009202882010.71%830113.6800002000001033.33%626000.2700000001
16Markus NurmiTucson Roadrunners (ARZ)RW8112-1001122650.00%1465.81000000000000100.00%111000.8600000000
17Travis BarronTucson Roadrunners (ARZ)LW22011-5402483220%21627.37000020001230075.00%811000.1200000000
18Dawson BarteauxTucson Roadrunners (ARZ)D25000-10009194130%533713.500000100007000%01800000000000
19Joe CarrollTucson Roadrunners (ARZ)LW25000-100321000%1783.1300002000016000%00100000000000
20Travis DermottTucson Roadrunners (ARZ)D5000-100051200%16913.840000000010000%00100000000000
21Ben McCartneyTucson Roadrunners (ARZ)C25000-400964010%21736.9200000000000037.74%532300000000000
22Ryan McGregorTucson Roadrunners (ARZ)C3000000010000%051.870000000000000%00000000000000
23Montana OnyebuchiTucson Roadrunners (ARZ)D30000-1118026186120%640613.540000000008000%00500000000000
Statistiques d’équipe totales ou en moyenne54091145236-1782647067465079528252811.45%274891816.5224345856572246164747350.30%1485188183100.5328716888
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Matthew VillaltaTucson Roadrunners (ARZ)2141100.8474.5910200078509312101.00091614000
2Strauss MannTucson Roadrunners (ARZ)113510.7985.2243700381881131000812000
3Christopher GibsonTucson Roadrunners (ARZ)82400.8295.063560030175101000064000
Statistiques d’équipe totales ou en moyenne4092010.8334.831814001468725262093030000


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Ben McCartneyTucson Roadrunners (ARZ)C222001-07-13No183 Lbs6 ft0NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm813,333$0$0$No813,333$--------No--------Lien / Lien NHL
Ben TardifTucson Roadrunners (ARZ)RW242000-01-24Yes192 Lbs5 ft10NoNoFree AgentNoNo12024-02-27FalseFalsePro & Farm775,000$0$0$No------------------
Cameron CrottyTucson Roadrunners (ARZ)D251999-05-05No212 Lbs6 ft3NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Christopher GibsonTucson Roadrunners (ARZ)G311992-12-27No217 Lbs6 ft2NoNoFree AgentNoNo12024-02-27FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Connor MacEachernTucson Roadrunners (ARZ)RW241999-07-30No185 Lbs5 ft10NoNoFree AgentNoNo12024-02-25FalseFalsePro & Farm775,000$0$0$No------------------
Curtis DouglasTucson Roadrunners (ARZ)C242000-03-06Yes243 Lbs6 ft9NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm837,500$0$0$No837,500$--------No--------Lien / Lien NHL
Dawson BarteauxTucson Roadrunners (ARZ)D242000-01-12Yes190 Lbs6 ft1NoNoFree AgentNoNo12024-02-25FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Dino KambeitzTucson Roadrunners (ARZ)RW242000-01-25Yes212 Lbs6 ft2NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Jake WiseTucson Roadrunners (ARZ)RW242000-02-28Yes190 Lbs5 ft10NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------
Jan JenikTucson Roadrunners (ARZ)RW232000-09-15No185 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm795,000$0$0$No------------------Lien / Lien NHL
Joe CarrollTucson Roadrunners (ARZ)LW232001-02-01Yes194 Lbs6 ft3NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------
John LeonardTucson Roadrunners (ARZ)LW251998-08-07No196 Lbs5 ft11NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Josh DoanTucson Roadrunners (ARZ)RW222002-02-01Yes183 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien
Justin KirklandTucson Roadrunners (ARZ)C271996-08-02No183 Lbs6 ft3NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Kenneth ApplebyTucson Roadrunners (ARZ)G291995-04-10No216 Lbs6 ft5NoNoFree AgentNoNo22024-02-21FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------
Markus NurmiTucson Roadrunners (ARZ)RW251998-06-29No205 Lbs6 ft5NoNoFree AgentNoNo12024-02-27FalseFalsePro & Farm925,000$0$0$No------------------
Matthew VillaltaTucson Roadrunners (ARZ)G241999-06-03Yes190 Lbs6 ft4NoNoDraftNoNo12024-02-10FalseFalsePro & Farm787,500$0$0$No------------------Lien / Lien NHL
Michael CarconeTucson Roadrunners (ARZ)LW281996-05-19No170 Lbs5 ft9NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Michael KesselringTucson Roadrunners (ARZ)D242000-01-13Yes190 Lbs6 ft4NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien / Lien NHL
Milos KelemenTucson Roadrunners (ARZ)LW241999-07-06No210 Lbs6 ft2NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm817,500$0$0$No817,500$--------No--------Lien
Montana OnyebuchiTucson Roadrunners (ARZ)D242000-03-08Yes201 Lbs6 ft3NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Nathan SmithTucson Roadrunners (ARZ)C251998-10-19No177 Lbs6 ft0NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm883,750$0$0$No------------------Lien / Lien NHL
Olli JuoleviTucson Roadrunners (ARZ)D261998-05-05No183 Lbs6 ft2NoNoFree AgentNoNo12024-02-27FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Patrick KudlaTucson Roadrunners (ARZ)D281996-04-02No190 Lbs6 ft3NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien
Riley McKayTucson Roadrunners (ARZ)LW251999-03-07No203 Lbs6 ft0NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------
Ryan McGregorTucson Roadrunners (ARZ)C251999-01-29No168 Lbs6 ft0NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm803,333$0$0$No------------------Lien / Lien NHL
Sakari ManninenTucson Roadrunners (ARZ)RW321992-02-10No179 Lbs5 ft10NoNoFree AgentNoNo12024-02-27FalseFalsePro & Farm775,000$0$0$No------------------
Steven KampferTucson Roadrunners (ARZ)D351988-09-24No198 Lbs5 ft11NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien
Strauss MannTucson Roadrunners (ARZ)G251998-08-18No174 Lbs6 ft0NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm925,000$0$0$No------------------
Tarun FizerTucson Roadrunners (ARZ)RW232001-03-01Yes168 Lbs5 ft11NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------
Travis BarronTucson Roadrunners (ARZ)LW251998-08-17No205 Lbs6 ft1NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Travis Dermott (contrat à 1 volet)Tucson Roadrunners (ARZ)D271996-12-22No202 Lbs6 ft0NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm1,500,000$350,000$9,333$No------------------Lien / Lien NHL
Vladislav KolyachonokTucson Roadrunners (ARZ)D222001-05-26No193 Lbs6 ft1NoNoFree AgentNoNo22024-02-05FalseFalsePro & Farm789,167$0$0$No789,167$--------No--------Lien / Lien NHL
Zach Sanford (contrat à 1 volet)Tucson Roadrunners (ARZ)LW291994-11-09No206 Lbs6 ft4NoNoFree AgentNoNo12024-02-05FalseFalsePro & Farm850,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3425.50194 Lbs6 ft11.18825,797$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jan JenikNathan Smith40122
2John LeonardJustin KirklandDino Kambeitz30122
3Milos KelemenCurtis DouglasMarkus Nurmi20122
4Travis BarronBen McCartneyJohn Leonard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringVladislav Kolyachonok40122
2Cameron CrottySteven Kampfer30122
3Montana OnyebuchiDawson Barteaux20122
4Cameron CrottySteven Kampfer10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Milos KelemenNathan Smith60122
2John LeonardJustin KirklandDino Kambeitz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael KesselringVladislav Kolyachonok60122
2Cameron CrottySteven Kampfer40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John Leonard60122
2Nathan SmithMilos Kelemen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokMichael Kesselring60122
2Cameron CrottySteven Kampfer40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Smith60122Dawson BarteauxMontana Onyebuchi60122
2John Leonard40122Cameron CrottySteven Kampfer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin KirklandJohn Leonard60122
2Nathan SmithMilos Kelemen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Montana OnyebuchiDawson Barteaux60122
2Cameron CrottySteven Kampfer40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardNathan SmithMichael KesselringVladislav Kolyachonok
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardNathan SmithMichael KesselringVladislav Kolyachonok
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Carroll, Curtis Douglas, Travis BarronJoe Carroll, Curtis DouglasTravis Barron
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Montana Onyebuchi, Dawson Barteaux, Cameron CrottyMontana OnyebuchiDawson Barteaux, Cameron Crotty
Tirs de pénalité
, John Leonard, Nathan Smith, Milos Kelemen, Justin Kirkland
Gardien
#1 : Matthew Villalta, #2 : Strauss Mann
Lignes d’attaque personnalisées en prolongation
Joe Carroll, John Leonard, Nathan Smith, Milos Kelemen, Justin Kirkland, , , Dino Kambeitz, Curtis Douglas, Travis Barron, Jan Jenik
Lignes de défense personnalisées en prolongation
Michael Kesselring, Vladislav Kolyachonok, Cameron Crotty, Steven Kampfer, Montana Onyebuchi


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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 Canucks21100000770110000005141010000026-420.500712190012473044518831927422471519328337.50%7357.14%024650648.62%26449553.33%23746950.53%578273590308646319
2Bakersfield Condors2010001068-2100000104311010000025-320.50067130012473044918831927422642117467342.86%6266.67%024650648.62%26449553.33%23746950.53%578273590308646319
3Calgary Wranglers21001000954110000005231000100043141.000915240012473044618831927422451612613266.67%10100.00%024650648.62%26449553.33%23746950.53%578273590308646319
4Chicago Wolves20200000411-71010000024-21010000027-500.0004711001247304451883192742241919376116.67%7357.14%024650648.62%26449553.33%23746950.53%578273590308646319
5Coachella Valley Firebirds2020000029-71010000015-41010000014-300.000235001247304431883192742247813431000.00%4325.00%024650648.62%26449553.33%23746950.53%578273590308646319
6Colorado Eagles20200000612-61010000057-21010000015-400.0006814001247304551883192742255415446233.33%5180.00%024650648.62%26449553.33%23746950.53%578273590308646319
7Henderson Silver Knights20200000511-61010000034-11010000027-500.0005914001247304651883192742264232248500.00%11554.55%024650648.62%26449553.33%23746950.53%578273590308646319
8Iowa Wild210000101183110000006421000001054141.0001115260012473045818831927422511615534125.00%5260.00%024650648.62%26449553.33%23746950.53%578273590308646319
9Manitoba Moose2010100059-4100010003211010000027-520.5005914001247304501883192742250151240500.00%6433.33%024650648.62%26449553.33%23746950.53%578273590308646319
10Milwaukee Admirals20200000612-61010000046-21010000026-400.00069150012473046118831927422592430375240.00%10730.00%024650648.62%26449553.33%23746950.53%578273590308646319
11Ontario Reign2020000069-31010000013-21010000056-100.00069150012473045118831927422523214364250.00%7442.86%024650648.62%26449553.33%23746950.53%578273590308646319
12Rockford IceHogs20100100712-51010000015-41000010067-110.250711180012473046618831927422822131548562.50%80100.00%124650648.62%26449553.33%23746950.53%578273590308646319
13San Diego Gulls2110000078-1110000004311010000035-220.500711180012473045518831927422761819363266.67%7442.86%024650648.62%26449553.33%23746950.53%578273590308646319
14San Jose Barracuda20200000513-81010000025-31010000038-500.0005914001247304451883192742286311252500.00%6350.00%024650648.62%26449553.33%23746950.53%578273590308646319
15Texas Stars21100000712-5110000005321010000029-720.500711180012473046118831927422532114554125.00%7357.14%124650648.62%26449553.33%23746950.53%578273590308646319
Total305200212093146-531558010105157-615012011104289-47190.3179314523800124730479518831927422872274264674832428.92%974454.64%224650648.62%26449553.33%23746950.53%578273590308646319
_Since Last GM Reset305200212093146-531558010105157-615012011104289-47190.3179314523800124730479518831927422872274264674832428.92%974454.64%224650648.62%26449553.33%23746950.53%578273590308646319
_Vs Conference305200212093146-531558010105157-615012011104289-47190.3179314523800124730479518831927422872274264674832428.92%974454.64%224650648.62%26449553.33%23746950.53%578273590308646319
_Vs Division1229011104265-23624010002427-3605001101838-2090.375426310500124730435118831927422350101117283321134.38%411758.54%224650648.62%26449553.33%23746950.53%578273590308646319

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3019L59314523879587227426467400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
30520212093146
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
155810105157
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1501211104289
Derniers 10 matchs
WLOTWOTL SOWSOL
190000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
832428.92%974454.64%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
188319274221247304
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
24650648.62%26449553.33%23746950.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
578273590308646319


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28Tucson Roadrunners2Milwaukee Admirals6LSommaire du match
422Tucson Roadrunners3San Diego Gulls5LSommaire du match
632Iowa Wild4Tucson Roadrunners6WSommaire du match
849Tucson Roadrunners2Henderson Silver Knights7LSommaire du match
1061Calgary Wranglers2Tucson Roadrunners5WSommaire du match
1381Tucson Roadrunners6Rockford IceHogs7LXSommaire du match
1494Abbotsford Canucks1Tucson Roadrunners5WSommaire du match
17111Tucson Roadrunners4Calgary Wranglers3WXSommaire du match
19124Coachella Valley Firebirds5Tucson Roadrunners1LSommaire du match
21135Tucson Roadrunners2Manitoba Moose7LSommaire du match
24153Manitoba Moose2Tucson Roadrunners3WXSommaire du match
28179Tucson Roadrunners5Iowa Wild4WXXSommaire du match
30189Ontario Reign3Tucson Roadrunners1LSommaire du match
33207Milwaukee Admirals6Tucson Roadrunners4LSommaire du match
35226Tucson Roadrunners2Bakersfield Condors5LSommaire du match
37239San Diego Gulls3Tucson Roadrunners4WSommaire du match
39256Tucson Roadrunners2Chicago Wolves7LSommaire du match
42270Tucson Roadrunners2Abbotsford Canucks6LSommaire du match
43283Bakersfield Condors3Tucson Roadrunners4WXXSommaire du match
47307Chicago Wolves4Tucson Roadrunners2LSommaire du match
50328Tucson Roadrunners3San Jose Barracuda8LSommaire du match
52336Tucson Roadrunners2Texas Stars9LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
53345Colorado Eagles7Tucson Roadrunners5LSommaire du match
56369San Jose Barracuda5Tucson Roadrunners2LSommaire du match
60394Texas Stars3Tucson Roadrunners5WSommaire du match
66424Rockford IceHogs5Tucson Roadrunners1LSommaire du match
67431Tucson Roadrunners1Colorado Eagles5LSommaire du match
70452Henderson Silver Knights4Tucson Roadrunners3LSommaire du match
71457Tucson Roadrunners1Coachella Valley Firebirds4LSommaire du match
73474Tucson Roadrunners5Ontario Reign6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,83913,960
Assistance PCT92.80%93.07%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2787 - 92.89% 117,587$1,763,810$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,031,179$ 2,572,708$ 2,572,708$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,537,918$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 41,523$ 41,523$




Tucson Roadrunners Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Tucson Roadrunners Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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

Tucson Roadrunners Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA