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Tucson Roadrunners
GP: 24 | W: 15 | L: 9
GF: 100 | GA: 101 | PP%: 27.45% | PK%: 74.47%
DG: Jannick | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #104 vs Hartford Wolf Pack

Centre de jeu
Tucson Roadrunners
15-9-0, 30pts
6
5 Hartford Wolf Pack
14-6-0, 28pts
Team Stats
W2SéquenceL1
9-3-0Fiche domicile7-3-0
6-6-0Fiche domicile7-3-0
6-3-1Derniers 10 matchs6-2-2
4.17Buts par match 4.05
4.21Buts contre par match 2.55
27.45%Pourcentage en avantage numérique20.55%
74.47%Pourcentage en désavantage numérique83.33%
Hartford Wolf Pack
14-6-0, 28pts
1
3 Tucson Roadrunners
15-9-0, 30pts
Team Stats
L1SéquenceW2
7-3-0Fiche domicile9-3-0
7-3-0Fiche domicile6-6-0
6-2-2Derniers 10 matchs6-3-1
4.05Buts par match 4.17
2.55Buts contre par match 4.21
20.55%Pourcentage en avantage numérique27.45%
83.33%Pourcentage en désavantage numérique74.47%
Tucson Roadrunners
15-9-0, 30pts
2026-06-03
Hartford Wolf Pack
14-6-0, 28pts
Statistiques d’équipe
W2SéquenceL1
9-3-0Fiche domicile7-3-0
6-6-0Fiche visiteur7-3-0
6-3-110 derniers matchs6-2-2
4.17Buts par match 4.05
4.21Buts contre par match 4.05
27.45%Pourcentage en avantage numérique20.55%
74.47%Pourcentage en désavantage numérique83.33%
Hartford Wolf Pack
14-6-0, 28pts
2026-06-04
Tucson Roadrunners
15-9-0, 30pts
Statistiques d’équipe
L1SéquenceW2
7-3-0Fiche domicile9-3-0
7-3-0Fiche visiteur6-6-0
6-2-210 derniers matchs6-3-1
4.05Buts par match 4.17
2.55Buts contre par match 4.17
20.55%Pourcentage en avantage numérique27.45%
83.33%Pourcentage en désavantage numérique74.47%
Meneurs d'équipe
John FarinacciButs
John Farinacci
16
Lane PedersonPasses
Lane Pederson
19
John FarinacciPoints
John Farinacci
34
John FarinacciPlus/Moins
John Farinacci
9
Jakub DobesVictoires
Jakub Dobes
15
Isaac PoulterPourcentage d’arrêts
Isaac Poulter
0.917

Statistiques d’équipe
Buts pour
100
4.17 GFG
Tirs pour
781
32.54 Avg
Pourcentage en avantage numérique
27.5%
28 GF
Début de zone offensive
39.1%
Buts contre
101
4.21 GAA
Tirs contre
879
36.63 Avg
Pourcentage en désavantage numérique
74.5%%
24 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralJannick
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite Contrat43 / 250
Espoirs34


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
1Dryden HuntX100.007853806673887965726962656471733540660281775,000$
2Linus KarlssonX100.006638846773868265716466616567686040650241775,000$
3John FarinacciX100.007336946572778463716461626564666740650231950,000$
4Brad LambertXX100.0063378467728785646966586365626478406402011,200,000$
5Lane PedersonX100.006441776373847562716362606168703640630271775,000$
6Vasily Ponomarev (R)X100.005937826769788065736360626763647040630221830,000$
7Cedric PareX100.007553745984798258655958575666684740620251775,000$
8Tristan Broz (R)XX100.006639796275837061676062616463656940620213925,000$
9Jonathan GrudenX100.007140725872748259655758565565676040610242775,000$
10Blade JenkinsX100.006738895776647156535554585965675540600241750,000$
11Philippe Daoust (R)X100.005636925865697057696254535764664840590231821,667$
12Kaedan KorczakX100.007442876484837762306858635264667240650232825,000$
13Dennis GilbertX100.007772706384787162306953644869715140640271825,000$
14Albert JohanssonX100.006638816568838464306356655164666840630231775,000$
15William WallinderX100.007639945985658458305752634563657740620221925,000$
16Josh JacobsX100.007140835780656455305453564569716040600281750,000$
17Artem GrushnikovX100.006952845678638354305352594562647340590211814,167$
Rayé
1Riley KidneyX100.006138805869718357635654535562646840590212875,000$
2Miko Matikka (R)X100.007238955481656453555250565162646740580203950,000$
3Ronan SeeleyX100.006136945670678455305453524563654940590221837,500$
4Joni Jurmo (R)X100.007238935381616252305150544563656440580221750,000$
MOYENNE D’ÉQUIPE100.00684284617575775953605659556567614062
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
1Jakub Dobes100.00788783897776787776787764715540680231925,000$
2Isaac Poulter100.00758379757473757473757464714340670231812,500$
Rayé
1Ty Young (R)100.00737470807271737271737261655640650203825,000$
MOYENNE D’ÉQUIPE100.0075817781747375747375746369514067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1John FarinacciTucson Roadrunners (UTM)C24161834980356080216620.00%949920.80281014761128474149.10%66400011.3600000402
2Dryden HuntTucson Roadrunners (UTM)LW24151227-10195915892326416.30%1065427.26347198911231001043.75%4800010.8300010420
3Lane PedersonTucson Roadrunners (UTM)C245192474031318219536.10%548120.0625721770000230053.49%4300001.0000000032
4Kaedan KorczakTucson Roadrunners (UTM)D24716234200302944203915.91%4762225.946392990000380100%000000.7400000202
5Linus KarlssonTucson Roadrunners (UTM)C2491322-520325667244913.43%350220.95268229111231062050.19%78900000.8800000112
6Dennis GilbertTucson Roadrunners (UTM)D24517224375744038222913.16%5860725.322462690101167010%000000.7200010151
7Tristan BrozTucson Roadrunners (UTM)C/LW241111229120383264245417.19%850721.1651615760111553051.85%2700100.8700000201
8Brad LambertTucson Roadrunners (UTM)C/RW2471219-72083168204010.29%438516.083582391000001257.89%1900000.9800000001
9Vasily PonomarevTucson Roadrunners (UTM)C2461319-460104649215012.24%533614.0111214000010150.00%37000001.1300000030
10Albert JohanssonTucson Roadrunners (UTM)D2411516-721551383614382.78%3252521.880882278011166000%000000.6100000100
11Cedric PareTucson Roadrunners (UTM)C246612-415540194993412.24%132713.6310111000002141.18%1700000.7300010110
12William WallinderTucson Roadrunners (UTM)D243811-628032282632511.54%4352721.971121476011069000%000000.4200000000
13Blade JenkinsTucson Roadrunners (UTM)LW24459-46019213992010.26%633113.830110200001108.33%1200000.5400000010
14Josh JacobsTucson Roadrunners (UTM)D24279-12003910143914.29%2939116.3102205000043000%100000.4600000000
15Artem GrushnikovTucson Roadrunners (UTM)D24145-41353313951011.11%2335414.770000300008000%000000.2800000000
16Jonathan GrudenTucson Roadrunners (UTM)C24123-5001223143187.14%11697.0600000000000052.80%21400000.3500000000
17Philippe DaoustTucson Roadrunners (UTM)C24101-560115101710.00%11687.0300000000000061.54%1300000.1200000000
Statistiques d’équipe totales ou en moyenne408100178278-292192557655078125060512.80%285739218.1228497720785546102067415649.84%221700120.7500030161611
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
1Jakub DobesTucson Roadrunners (UTM)2415630.8814.091350009277102000240001
2Isaac PoulterTucson Roadrunners (UTM)40000.9173.2916400910800000024000
Statistiques d’équipe totales ou en moyenne2815630.8854.0015140010187902002424001


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Albert JohanssonTucson Roadrunners (UTM)D232001-01-04SWENo168 Lbs6 ft0NoNoN/ANoNo12025-07-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Artem GrushnikovTucson Roadrunners (UTM)D212003-03-20RUSNo203 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-22FalseFalsePro & Farm814,167$0$0$No---------------------------Lien / Lien NHL
Blade JenkinsTucson Roadrunners (UTM)LW242000-08-11USANo195 Lbs6 ft1NoNoN/ANoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Brad LambertTucson Roadrunners (UTM)C/RW202003-12-19FINNo173 Lbs6 ft1NoNoTrade2024-03-08NoNo12024-10-05FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien / Lien NHL
Cedric PareTucson Roadrunners (UTM)C251999-01-24CANNo205 Lbs6 ft3NoNoN/ANoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Dennis GilbertTucson Roadrunners (UTM)D271996-10-30USANo216 Lbs6 ft2NoNoN/ANoNo12025-07-16FalseFalsePro & Farm825,000$0$0$No---------------------------Lien / Lien NHL
Dryden HuntTucson Roadrunners (UTM)LW281995-11-24CANNo193 Lbs6 ft0NoNoN/ANoNo12024-06-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Isaac PoulterTucson Roadrunners (UTM)G232001-09-12CANNo174 Lbs6 ft2NoNoAssign ManuallyNoNo12024-09-19FalseFalsePro & Farm812,500$0$0$No---------------------------Lien / Lien NHL
Jakub DobesTucson Roadrunners (UTM)G232001-05-27CZENo215 Lbs6 ft4NoNoProspectNoNo12024-06-26FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
John FarinacciTucson Roadrunners (UTM)C232001-02-14USANo197 Lbs5 ft11NoNoProspectNoNo12024-06-27FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Jonathan GrudenTucson Roadrunners (UTM)C242000-05-04USANo172 Lbs6 ft0NoNoN/ANoNo22024-06-27FalseFalsePro & Farm775,000$0$0$No775,000$-----------------No--------Lien / Lien NHL
Joni JurmoTucson Roadrunners (UTM)D222002-04-19FINYes190 Lbs6 ft3NoNoProspectNoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Josh JacobsTucson Roadrunners (UTM)D281996-02-15USANo200 Lbs6 ft2NoNoN/ANoNo12025-07-16FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Kaedan KorczakTucson Roadrunners (UTM)D232001-01-29CANNo203 Lbs6 ft3NoNoN/ANoNo22025-07-16FalseFalsePro & Farm825,000$0$0$No825,000$-----------------No--------Lien / Lien NHL
Lane PedersonTucson Roadrunners (UTM)C271997-08-04CANNo192 Lbs6 ft0NoNoN/ANoNo12024-06-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Linus KarlssonTucson Roadrunners (UTM)C241999-11-16SWENo178 Lbs6 ft1NoNoN/ANoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Miko MatikkaTucson Roadrunners (UTM)RW202003-10-26FINYes187 Lbs6 ft3NoNoProspectNoNo32025-07-16FalseFalsePro & Farm950,000$0$0$No950,000$950,000$----------------NoNo-------Lien / Lien NHL
Philippe DaoustTucson Roadrunners (UTM)C232001-05-11CANYes151 Lbs6 ft0NoNoProspectNoNo12025-07-16FalseFalsePro & Farm821,667$0$0$No---------------------------Lien / Lien NHL
Riley KidneyTucson Roadrunners (UTM)C212003-03-25CANNo181 Lbs5 ft11NoNoProspectNoNo22025-07-16FalseFalsePro & Farm875,000$0$0$No875,000$-----------------No--------Lien / Lien NHL
Ronan SeeleyTucson Roadrunners (UTM)D222002-08-02CANNo176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm837,500$0$0$No---------------------------Lien / Lien NHL
Tristan BrozTucson Roadrunners (UTM)C/LW212002-10-10USAYes205 Lbs6 ft0NoNoProspectNoNo32025-07-16FalseFalsePro & Farm925,000$0$0$No925,000$925,000$----------------NoNo-------Lien / Lien NHL
Ty YoungTucson Roadrunners (UTM)G202004-09-11CANYes181 Lbs6 ft3NoNoDraftNoNo32025-07-16FalseFalsePro & Farm825,000$0$0$No825,000$825,000$----------------NoNo-------Lien / Lien NHL
Vasily PonomarevTucson Roadrunners (UTM)C222002-03-13RUSYes180 Lbs5 ft10NoNoAssign ManuallyNoNo12025-07-16FalseFalsePro & Farm830,000$0$0$No---------------------------Lien / Lien NHL
William WallinderTucson Roadrunners (UTM)D222002-07-28SWENo191 Lbs6 ft4NoNoProspectNoNo12024-06-26FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.17189 Lbs6 ft11.38843,368$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntLinus KarlssonBrad Lambert30122
2Tristan BrozJohn FarinacciLane Pederson30122
3Blade JenkinsVasily PonomarevCedric Pare20122
4Philippe DaoustJonathan GrudenDryden Hunt20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakDennis Gilbert30122
2Albert JohanssonWilliam Wallinder30122
3Josh JacobsArtem Grushnikov20122
4Kaedan KorczakDennis Gilbert20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntLinus KarlssonBrad Lambert60122
2Tristan BrozJohn FarinacciLane Pederson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakDennis Gilbert60122
2Albert JohanssonWilliam Wallinder40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Linus KarlssonDryden Hunt60122
2John FarinacciTristan Broz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakDennis Gilbert60122
2Albert JohanssonWilliam Wallinder40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Linus Karlsson60122Kaedan KorczakDennis Gilbert60122
2John Farinacci40122Albert JohanssonWilliam Wallinder40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Linus KarlssonDryden Hunt60122
2John FarinacciTristan Broz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakDennis Gilbert60122
2Albert JohanssonWilliam Wallinder40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntLinus KarlssonBrad LambertKaedan KorczakDennis Gilbert
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tristan BrozJohn FarinacciLane PedersonAlbert JohanssonWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lane Pederson, Vasily Ponomarev, Tristan BrozLane Pederson, Vasily PonomarevLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Wallinder, Josh Jacobs, Artem GrushnikovWilliam WallinderWilliam Wallinder, Josh Jacobs
Tirs de pénalité
Dryden Hunt, Linus Karlsson, John Farinacci, Brad Lambert, Lane Pederson
Gardien
#1 : Jakub Dobes, #2 : Isaac Poulter


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
TotalDomicile Visiteur
# 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 RI
1Abbotsford Canucks64200000303003210000016151321000001415-180.66730518100323229720022525825246255718115421523.81%361169.44%344286651.04%44291048.57%22144150.11%591404598185325162
2Chicago Wolves6420000025232321000001514132100000109180.66725457000323229720022525825246216956214230723.33%25388.00%144286651.04%44291048.57%22144150.11%591404598185325162
3Hartford Wolf Pack532000001920-132100000119221100000811-360.60019325100323229715822525825246160423511715533.33%15660.00%044286651.04%44291048.57%22144150.11%591404598185325162
4Ontario Reign743000002628-23300000015105413000001118-780.571265076003232297223225258252462487741163361130.56%18477.78%044286651.04%44291048.57%22144150.11%591404598185325162
Total2415900000100101-1129300000574891266000004353-10300.625100178278003232297781225258252468792852195761022827.45%942474.47%444286651.04%44291048.57%22144150.11%591404598185325162
_Since Last GM Reset2415900000100101-1129300000574891266000004353-10300.625100178278003232297781225258252468792852195761022827.45%942474.47%444286651.04%44291048.57%22144150.11%591404598185325162
_Vs Conference19127000008181097200000463971055000003542-7240.6328114622700323229762322525825246719243184459872326.44%791877.22%444286651.04%44291048.57%22144150.11%591404598185325162

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2430W210017827878187928521957600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
241590000100101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
129300005748
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
126600004353
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1022827.45%942474.47%4
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
225258252463232297
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
44286651.04%44291048.57%22144150.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
591404598185325162


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
2 - 2026-04-188Abbotsford Canucks4Tucson Roadrunners5WXSommaire du match
4 - 2026-04-2016Abbotsford Canucks5Tucson Roadrunners6WXSommaire du match
6 - 2026-04-2224Tucson Roadrunners5Abbotsford Canucks4WXSommaire du match
8 - 2026-04-2432Tucson Roadrunners4Abbotsford Canucks7LSommaire du match
10 - 2026-04-2640Abbotsford Canucks6Tucson Roadrunners5LXSommaire du match
12 - 2026-04-2848Tucson Roadrunners5Abbotsford Canucks4WSommaire du match
16 - 2026-05-0260Tucson Roadrunners1Ontario Reign4LSommaire du match
18 - 2026-05-0464Tucson Roadrunners3Ontario Reign4LXSommaire du match
20 - 2026-05-0668Ontario Reign4Tucson Roadrunners5WSommaire du match
22 - 2026-05-0872Ontario Reign4Tucson Roadrunners6WSommaire du match
24 - 2026-05-1076Tucson Roadrunners1Ontario Reign7LSommaire du match
26 - 2026-05-1280Ontario Reign2Tucson Roadrunners4WSommaire du match
28 - 2026-05-1484Tucson Roadrunners6Ontario Reign3WSommaire du match
30 - 2026-05-1686Chicago Wolves3Tucson Roadrunners8WSommaire du match
32 - 2026-05-1888Chicago Wolves4Tucson Roadrunners5WXSommaire du match
34 - 2026-05-2090Tucson Roadrunners2Chicago Wolves3LXSommaire du match
36 - 2026-05-2292Tucson Roadrunners4Chicago Wolves3WXSommaire du match
38 - 2026-05-2494Chicago Wolves7Tucson Roadrunners2LSommaire du match
40 - 2026-05-2696Tucson Roadrunners4Chicago Wolves3WXSommaire du match
43 - 2026-05-2999Hartford Wolf Pack4Tucson Roadrunners2LSommaire du match
44 - 2026-05-30100Hartford Wolf Pack4Tucson Roadrunners6WSommaire du match
45 - 2026-05-31101Tucson Roadrunners2Hartford Wolf Pack6LSommaire du match
46 - 2026-06-01102Tucson Roadrunners6Hartford Wolf Pack5WXSommaire du match
47 - 2026-06-02103Hartford Wolf Pack1Tucson Roadrunners3WSommaire du match
48 - 2026-06-03104Tucson Roadrunners-Hartford Wolf Pack-
49 - 2026-06-04105Hartford Wolf Pack-Tucson Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
-3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 10,120,418$ 10,120,418$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




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