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Tucson Roadrunners
GP: 65 | W: 33 | L: 30 | OTL: 2 | P: 68
GF: 282 | GA: 300 | PP%: 29.34% | PK%: 80.00%
DG: Cam Béliler | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #1021 vs Colorado Eagles

Centre de jeu
Coachella Valley Firebirds
39-19-4, 82pts
7
FINAL
5 Tucson Roadrunners
33-30-2, 68pts
Team Stats
SOL1SéquenceW1
20-11-1Fiche domicile21-9-1
19-8-3Fiche domicile12-21-1
5-3-2Derniers 10 matchs5-4-1
5.11Buts par match 4.34
4.48Buts contre par match 4.62
28.40%Pourcentage en avantage numérique29.34%
71.52%Pourcentage en désavantage numérique80.00%
Milwaukee Admirals
37-19-7, 81pts
6
FINAL
7 Tucson Roadrunners
33-30-2, 68pts
Team Stats
W1SéquenceW1
23-8-1Fiche domicile21-9-1
14-11-6Fiche domicile12-21-1
5-3-2Derniers 10 matchs5-4-1
4.54Buts par match 4.34
3.86Buts contre par match 4.62
35.76%Pourcentage en avantage numérique29.34%
74.07%Pourcentage en désavantage numérique80.00%
Colorado Eagles
31-30-3, 65pts
2026-03-14
Tucson Roadrunners
33-30-2, 68pts
Statistiques d’équipe
W3SéquenceW1
17-13-2Fiche domicile21-9-1
14-17-1Fiche visiteur12-21-1
7-3-010 derniers matchs5-4-1
3.81Buts par match 4.34
4.34Buts contre par match 4.34
29.94%Pourcentage en avantage numérique29.34%
70.39%Pourcentage en désavantage numérique80.00%
Henderson Silver Knights
31-25-5, 67pts
2026-03-19
Tucson Roadrunners
33-30-2, 68pts
Statistiques d’équipe
W1SéquenceW1
18-11-3Fiche domicile21-9-1
13-14-2Fiche visiteur12-21-1
5-4-110 derniers matchs5-4-1
4.49Buts par match 4.34
4.03Buts contre par match 4.34
26.09%Pourcentage en avantage numérique29.34%
71.62%Pourcentage en désavantage numérique80.00%
Tucson Roadrunners
33-30-2, 68pts
2026-03-22
Texas Stars
27-27-8, 62pts
Statistiques d’équipe
W1SéquenceL1
21-9-1Fiche domicile17-13-2
12-21-1Fiche visiteur10-14-6
5-4-110 derniers matchs4-3-3
4.34Buts par match 4.61
4.62Buts contre par match 4.61
29.34%Pourcentage en avantage numérique25.00%
80.00%Pourcentage en désavantage numérique71.33%
Meneurs d'équipe
Mason ShawButs
Mason Shaw
39
Wyatt AamodtPasses
Wyatt Aamodt
47
Mason ShawPoints
Mason Shaw
84
Ethen FrankPlus/Moins
Ethen Frank
8

Statistiques d’équipe
Buts pour
282
4.34 GFG
Tirs pour
2455
37.77 Avg
Pourcentage en avantage numérique
29.3%
49 GF
Début de zone offensive
39.5%
Buts contre
300
4.62 GAA
Tirs contre
2641
40.63 Avg
Pourcentage en désavantage numérique
80.0%%
34 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralCam Béliler
EntraîneurJaromír Jagr
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,622
Billets de saison8,370


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 60
Espoirs14


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
1Ethen FrankX100.00604079737075656742626564685450050650281775,000$
2Mikael PyyhtiaX100.00624082747074696544616064675650050640241775,000$
3Mason ShawXXX100.00606455696773686745636057656050050630271775,000$
4Devin KaplanX100.00564069677575596240595959635150050610222921,667$
5Henrik RybinskiX100.00634272656365636154605463605250050610241775,000$
6Ryan LeonardX100.00605540647575655850585960585150050610212950,000$
7Jett LuchankoX100.00574070657475615755565455555150050590193942,500$
8Coulson PitreX100.00574168625958575941585454585050050570212860,000$
9Nico MyatovicX100.00604171636458555841535453595050050570212896,667$
10Jakub StanclX100.00614066586455535540545354555050050560202866,667$
11Artyom LevshunovX100.00584069677777596440635960635150050630202975,000$
12Max SzuberX100.00634465676564626440635767635050050630231859,167$
13Wyatt AamodtX100.00644465666368666240575669615550050630281775,000$
14Christian KyrouX100.00554171695860576140585761625050050600221878,333$
15Maveric LamoureuxX100.00624262616561595940575561585050050600222886,667$
16Dmitry KuzminX100.00574170656161595840535460595050050590221795,556$
17Jake FurlongX100.00594168616361605940555457585050050580222841,667$
Rayé
1Emilio PettersenX100.005642696660676663436355566153500506002500$
2Ryan SandelinXXX100.006041716563666360425454605953500505902700$
3Bradley MarekXXX100.006445646069646259425254565852500505802500$
4Roby JarventieX100.00574161576053525441535253545050050540231775,000$
5Scooter BrickeyX100.006541686170646156405251665653500506102600$
MOYENNE D’ÉQUIPE100.0060436765666661604357566060525005060
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
1Evan Gardner100.0059575761585555545458545050050530193870,833$
Rayé
1Nolan Maier100.00645555595957565456595052500505302500$
MOYENNE D’ÉQUIPE100.006256566059565654555952515005053
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jaromír Jagr1111111CZE5351$


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
1Mason ShawTucson Roadrunners (UTA)C/LW/RW6539458433751731322387320016.39%13136320.9867132611500031237248.99%34700021.2311010885
2Wyatt AamodtTucson Roadrunners (UTA)D65194766-24340145100143488313.29%115125119.257411531030001104440%100001.05000003104
3Ethen FrankTucson Roadrunners (UTA)C53283563840451382266814912.39%20110720.903912168801131162044.45%119000101.1411000834
4Dmitry KuzminTucson Roadrunners (UTA)D6553944-26160776210120784.95%91123318.97279461010001108020%100000.7100000125
5Jake FurlongTucson Roadrunners (UTA)D6563339-6420147828722516.90%102103415.91101270000411066.67%300000.7500000244
6Phil Di GiuseppeUtah MammothLW381622383240681091463511210.96%1076220.0634714611014621151.50%46600001.0001000133
7Henrik RybinskiTucson Roadrunners (UTA)RW43231235-1720090841715213113.45%1276717.8436931740000242157.81%6400000.9100000532
8Derrick PouliotUtah MammothD3822931-13260105536924482.90%7083722.031783067000171000%000000.7400000210
9Marc-Edouard VlasicUtah MammothD2291625-1320333882273810.98%3950823.1265113943000025100%100000.9800000211
10Kevin GravelUtah MammothD3891322-13180662755144516.36%6584722.305271968000075210%000000.5200000012
Statistiques d’équipe totales ou en moyenne492156291447-982235949825131838393511.84%537971219.7437518827673211213753201147.18%207300120.9223010323630
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
1Calle ClangUtah Mammoth1991000.8913.451009205853301100190212
Statistiques d’équipe totales ou en moyenne1991000.8913.45100920585330110190212


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Artyom LevshunovTucson Roadrunners (UTA)D202005-10-28BLRNo208 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm975,000$115,678$0$0$No975,000$--------975,000$--------No--------
Bradley MarekTucson Roadrunners (UTA)C/LW/RW252000-11-13USANo212 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Christian KyrouTucson Roadrunners (UTA)D222003-09-16CANNo172 Lbs5 ft10NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm878,333$104,209$0$0$No---------------------------Lien NHL
Coulson PitreTucson Roadrunners (UTA)RW212004-12-13CANNo172 Lbs6 ft1NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm860,000$102,034$0$0$No860,000$--------860,000$--------No--------
Devin KaplanTucson Roadrunners (UTA)RW222004-01-10USANo199 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm921,667$109,350$0$0$No921,667$--------921,667$--------No--------
Dmitry KuzminTucson Roadrunners (UTA)D222003-04-23BELNo181 Lbs5 ft10NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm795,556$94,388$0$0$No---------------------------Lien NHL
Emilio PettersenTucson Roadrunners (UTA)C252000-04-03NORNo181 Lbs5 ft11NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Ethen FrankTucson Roadrunners (UTA)C281998-02-05USANo188 Lbs5 ft11NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$91,949$0$0$No---------------------------Lien NHL
Evan GardnerTucson Roadrunners (UTA)G192006-06-25CANNo174 Lbs6 ft2NoNoAssign ManuallyNoNo32025-05-26FalseFalsePro & Farm870,833$103,319$0$0$No870,833$870,833$-------870,833$870,833$-------NoNo-------
Henrik RybinskiTucson Roadrunners (UTA)RW242001-06-26CANNo185 Lbs6 ft2NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$91,949$0$0$No---------------------------Lien NHL
Jake FurlongTucson Roadrunners (UTA)D222004-03-04CANNo201 Lbs6 ft1NoNoFantasy DraftNoNo22025-05-26FalseFalsePro & Farm841,667$99,859$0$0$No841,667$--------841,667$--------No--------
Jakub StanclTucson Roadrunners (UTA)C202005-04-10CZENo203 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm866,667$102,825$0$0$No866,667$--------866,667$--------No--------
Jett LuchankoTucson Roadrunners (UTA)C192006-08-21CANNo100 Lbs4 ft0NoNoAssign ManuallyNoNo32025-06-10FalseFalsePro & Farm942,500$111,822$0$0$No942,500$942,500$-------942,500$942,500$-------NoNo-------Lien NHL
Mason ShawTucson Roadrunners (UTA)C/LW/RW271998-11-03CANNo183 Lbs5 ft10NoNoFantasy DraftNoNo12025-07-03FalseFalsePro & Farm775,000$91,949$0$0$No---------------------------Lien NHL
Maveric LamoureuxTucson Roadrunners (UTA)D222004-01-13CANNo198 Lbs6 ft7NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm886,667$105,198$0$0$No886,667$--------886,667$--------No--------
Max SzuberTucson Roadrunners (UTA)D232002-08-25GERNo190 Lbs6 ft3NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm859,167$101,935$0$0$No---------------------------
Mikael PyyhtiaTucson Roadrunners (UTA)LW242001-12-17FINNo176 Lbs6 ft0NoNoAssign ManuallyNoNo12025-08-19FalseFalsePro & Farm775,000$91,949$0$0$No---------------------------Lien NHL
Nico MyatovicTucson Roadrunners (UTA)LW212004-12-01CANNo181 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm896,667$106,384$0$0$No896,667$--------896,667$--------No--------Lien NHL
Nolan MaierTucson Roadrunners (UTA)G252001-01-10CANNo174 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Roby JarventieTucson Roadrunners (UTA)LW232002-08-08FINNo209 Lbs6 ft3NoNoAssign ManuallyNoNo12025-06-29FalseFalsePro & Farm775,000$91,949$0$0$No---------------------------Lien NHL
Ryan LeonardTucson Roadrunners (UTA)C212005-01-21USANo100 Lbs4 ft0NoNoTrade2025-08-10NoNo22025-06-10FalseFalsePro & Farm950,000$112,712$0$0$No950,000$--------950,000$--------No--------Lien NHL
Ryan SandelinTucson Roadrunners (UTA)C/LW/RW271999-01-03USANo190 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Scooter BrickeyTucson Roadrunners (UTA)D261999-05-27USANo214 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Wyatt AamodtTucson Roadrunners (UTA)D281997-11-22USANo201 Lbs6 ft0NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$91,949$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.17183 Lbs5 ft111.29674,780$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason Shaw30122
230122
325122
4Mason Shaw15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
2Wyatt AamodtDmitry Kuzmin30122
3Jake Furlong25122
415122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason Shaw50122
250122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Wyatt AamodtDmitry Kuzmin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Mason Shaw50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Wyatt AamodtDmitry Kuzmin50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15012250122
250122Wyatt AamodtDmitry Kuzmin50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Mason Shaw50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Wyatt AamodtDmitry Kuzmin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason Shaw
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason Shaw
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Mason Shaw, Mason Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Furlong, Wyatt Aamodt, Dmitry KuzminJake FurlongWyatt Aamodt, Dmitry Kuzmin
Tirs de pénalité
, , Mason Shaw, ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Mason Shaw, , , , , , ,
Lignes de défense personnalisées en prolongation
, , Wyatt Aamodt, Dmitry Kuzmin, Jake Furlong


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 Canucks330000001611522000000121021100000041361.000163046001079872613381185078710952219751218.33%6266.67%01119234347.76%1113235447.28%584123947.13%153610951572440806401
2Bakersfield Condors430000102215722000000129321000010106481.00022386000107987261358118507871012340208311545.45%100100.00%11119234347.76%1113235447.28%584123947.13%153610951572440806401
3Belleville Senators1010000035-2000000000001010000035-200.0003690010798726478118507871040118233133.33%3166.67%01119234347.76%1113235447.28%584123947.13%153610951572440806401
4Bridgeport Islanders1000010067-11000010067-10000000000010.50061117001079872647811850787105216823100.00%4250.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
5Calgary Wranglers312000001317-41010000035-2211000001012-220.333132538001079872612981185078710131371810611327.27%9188.89%01119234347.76%1113235447.28%584123947.13%153610951572440806401
6Charlotte Checkers1000010067-1000000000001000010067-110.50069150010798726568118507871064170304375.00%000%01119234347.76%1113235447.28%584123947.13%153610951572440806401
7Chicago Wolves412010001321-820101000710-321100000611-540.50013243700107987261518118507871013439199611218.18%6183.33%01119234347.76%1113235447.28%584123947.13%153610951572440806401
8Cleveland Monsters11000000761110000007610000000000021.00071421001079872645811850787105913228200.00%10100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
9Coachella Valley Firebirds312000001416-220200000812-41100000064220.3331426402010798726124811850787101233112647228.57%6183.33%01119234347.76%1113235447.28%584123947.13%153610951572440806401
10Colorado Eagles2020000048-4000000000002020000048-400.00047110010798726538118507871058141252300.00%4250.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
11Grand Rapids Griffins2020000059-4000000000002020000059-400.0005101500107987264981185078710692212342150.00%60100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
12Hartford Wolf Pack10001000541000000000001000100054121.000510150010798726388118507871041184184125.00%20100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
13Henderson Silver Knights2110000068-2110000003121010000037-420.500610160010798726738118507871079211649700.00%8275.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
14Hershey Bears1010000028-6000000000001010000028-600.000235001079872630811850787104314824100.00%3166.67%01119234347.76%1113235447.28%584123947.13%153610951572440806401
15Iowa Wild42200000141402200000074320200000710-340.50014243800107987261438118507871016555219513430.77%80100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
16Laval Rocket11000000725110000007250000000000021.00071320001079872647811850787103696304250.00%30100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
17Lehigh Valley Phantoms11000000862110000008620000000000021.0008152300107987264081185078710622862133100.00%3166.67%01119234347.76%1113235447.28%584123947.13%153610951572440806401
18Manitoba Moose43001000191362100100010822200000095481.00019355400107987261458118507871010641161025120.00%8450.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
19Milwaukee Admirals42101000141402100100011922110000035-260.7501426400010798726125811850787101404918898562.50%8275.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
20Ontario Reign303000001015-520200000812-41010000023-100.000101828101079872688811850787101685616816116.67%8187.50%01119234347.76%1113235447.28%584123947.13%153610951572440806401
21Providence Bruins1010000024-2000000000001010000024-200.000235001079872634811850787102672213133.33%10100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
22Rochester Americans1010000079-21010000079-20000000000000.000714211010798726338118507871057118214125.00%40100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
23Rockford IceHogs4310000017107211000008532200000095460.75017314800107987261558118507871017551341021417.14%16381.25%11119234347.76%1113235447.28%584123947.13%153610951572440806401
24San Diego Gulls31200000151411100000082620200000712-520.3331527420010798726123811850787101162612655240.00%6183.33%01119234347.76%1113235447.28%584123947.13%153610951572440806401
25San Jose Barracuda312000001419-52110000099010100000510-520.3331426400010798726150811850787101626329848337.50%12375.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
26Syracuse Crunch1010000036-3000000000001010000036-300.000358001079872641811850787105710624200.00%30100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
27Texas Stars32100000171702200000012841010000059-440.6671728450010798726104811850787101484332866466.67%15566.67%01119234347.76%1113235447.28%584123947.13%153610951572440806401
28Toronto Marlies11000000523110000005230000000000021.000591400107987263581185078710311210164250.00%50100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
29Utica Comets1010000025-3000000000001010000025-300.00024600107987264381185078710287219200.00%110.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
30Wilkes-Barre Penguins1010000068-2000000000001010000068-200.00061218101079872639811850787105319442100.00%10100.00%01119234347.76%1113235447.28%584123947.13%153610951572440806401
Total65283004210282300-1831189031001581362234102101110124164-40680.5232825137955010798726245581185078710264180238016031674929.34%1703480.00%21119234347.76%1113235447.28%584123947.13%153610951572440806401
_Since Last GM Reset65283004210282300-1831189031001581362234102101110124164-40680.5232825137955010798726245581185078710264180238016031674929.34%1703480.00%21119234347.76%1113235447.28%584123947.13%153610951572440806401
_Vs Conference49242103010208212-42514803000118104142410130001090108-18560.5712083755833010798726183181185078710192358829412291273426.77%1302878.46%21119234347.76%1113235447.28%584123947.13%153610951572440806401
_Vs Division2113903000857691072030004834141167000003742-5320.76285151236001079872672581185078710792253133526491530.61%591672.88%11119234347.76%1113235447.28%584123947.13%153610951572440806401

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6568W128251379524552641802380160350
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6528304210282300
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311893100158136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3410211110124164
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1674929.34%1703480.00%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
8118507871010798726
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
1119234347.76%1113235447.28%584123947.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
153610951572440806401


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 - 2025-10-0810Abbotsford Canucks4Tucson Roadrunners5WSommaire du match
6 - 2025-10-1235Tucson Roadrunners2San Diego Gulls5LSommaire du match
8 - 2025-10-1445Chicago Wolves6Tucson Roadrunners2LSommaire du match
10 - 2025-10-1655Tucson Roadrunners1Chicago Wolves8LSommaire du match
12 - 2025-10-1871Tucson Roadrunners3Manitoba Moose2WSommaire du match
14 - 2025-10-2081Tucson Roadrunners4Rockford IceHogs2WSommaire du match
16 - 2025-10-2294Rockford IceHogs1Tucson Roadrunners5WSommaire du match
18 - 2025-10-24106Tucson Roadrunners5Bakersfield Condors2WSommaire du match
19 - 2025-10-25120Coachella Valley Firebirds5Tucson Roadrunners3LSommaire du match
22 - 2025-10-28138Tucson Roadrunners0Milwaukee Admirals3LSommaire du match
24 - 2025-10-30147Tucson Roadrunners3Grand Rapids Griffins6LSommaire du match
25 - 2025-10-31159Manitoba Moose4Tucson Roadrunners5WSommaire du match
28 - 2025-11-03182Henderson Silver Knights1Tucson Roadrunners3WSommaire du match
30 - 2025-11-05193Tucson Roadrunners2Colorado Eagles3LSommaire du match
32 - 2025-11-07215Iowa Wild2Tucson Roadrunners3WSommaire du match
33 - 2025-11-08223Tucson Roadrunners2Iowa Wild4LSommaire du match
36 - 2025-11-11242Tucson Roadrunners2Grand Rapids Griffins3LSommaire du match
38 - 2025-11-13252Tucson Roadrunners2Utica Comets5LSommaire du match
39 - 2025-11-14259Iowa Wild2Tucson Roadrunners4WSommaire du match
42 - 2025-11-17283Chicago Wolves4Tucson Roadrunners5WXSommaire du match
44 - 2025-11-19298Tucson Roadrunners2Providence Bruins4LSommaire du match
46 - 2025-11-21309Tucson Roadrunners5Chicago Wolves3WSommaire du match
48 - 2025-11-23320Bakersfield Condors4Tucson Roadrunners5WSommaire du match
50 - 2025-11-25336Tucson Roadrunners5Bakersfield Condors4WXXSommaire du match
52 - 2025-11-27351Manitoba Moose4Tucson Roadrunners5WXSommaire du match
57 - 2025-12-02378Lehigh Valley Phantoms6Tucson Roadrunners8WSommaire du match
59 - 2025-12-04392Tucson Roadrunners6Manitoba Moose3WSommaire du match
62 - 2025-12-07409Tucson Roadrunners3Milwaukee Admirals2WSommaire du match
63 - 2025-12-08416Ontario Reign8Tucson Roadrunners6LSommaire du match
67 - 2025-12-12443Ontario Reign4Tucson Roadrunners2LSommaire du match
70 - 2025-12-15463Tucson Roadrunners4Abbotsford Canucks1WSommaire du match
72 - 2025-12-17474Texas Stars5Tucson Roadrunners6WSommaire du match
77 - 2025-12-22502Rochester Americans9Tucson Roadrunners7LSommaire du match
79 - 2025-12-24513Tucson Roadrunners6Wilkes-Barre Penguins8LSommaire du match
82 - 2025-12-27528Tucson Roadrunners2Ontario Reign3LSommaire du match
83 - 2025-12-28540Toronto Marlies2Tucson Roadrunners5WSommaire du match
86 - 2025-12-31558Tucson Roadrunners2Hershey Bears8LSommaire du match
88 - 2026-01-02568Texas Stars3Tucson Roadrunners6WSommaire du match
91 - 2026-01-05584Tucson Roadrunners5Iowa Wild6LSommaire du match
94 - 2026-01-08604Cleveland Monsters6Tucson Roadrunners7WSommaire du match
96 - 2026-01-10618Tucson Roadrunners5Hartford Wolf Pack4WXSommaire du match
98 - 2026-01-12632Tucson Roadrunners5San Diego Gulls7LSommaire du match
99 - 2026-01-13638Calgary Wranglers5Tucson Roadrunners3LSommaire du match
103 - 2026-01-17664Tucson Roadrunners2Colorado Eagles5LSommaire du match
104 - 2026-01-18670San Jose Barracuda4Tucson Roadrunners7WSommaire du match
108 - 2026-01-22696Bridgeport Islanders7Tucson Roadrunners6LXSommaire du match
110 - 2026-01-24710Tucson Roadrunners6Coachella Valley Firebirds4WSommaire du match
112 - 2026-01-26727Tucson Roadrunners5San Jose Barracuda10LSommaire du match
113 - 2026-01-27733Laval Rocket2Tucson Roadrunners7WSommaire du match
116 - 2026-01-30747Tucson Roadrunners5Texas Stars9LSommaire du match
118 - 2026-02-01763San Jose Barracuda5Tucson Roadrunners2LSommaire du match
119 - 2026-02-02768Tucson Roadrunners7Calgary Wranglers5WSommaire du match
121 - 2026-02-04781Tucson Roadrunners3Syracuse Crunch6LSommaire du match
123 - 2026-02-06799Abbotsford Canucks6Tucson Roadrunners7WSommaire du match
125 - 2026-02-08809Tucson Roadrunners3Henderson Silver Knights7LSommaire du match
127 - 2026-02-10819Tucson Roadrunners6Charlotte Checkers7LXSommaire du match
129 - 2026-02-12832San Diego Gulls2Tucson Roadrunners8WSommaire du match
132 - 2026-02-15855Tucson Roadrunners5Rockford IceHogs3WSommaire du match
133 - 2026-02-16863Bakersfield Condors5Tucson Roadrunners7WSommaire du match
136 - 2026-02-19879Tucson Roadrunners3Belleville Senators5LSommaire du match
138 - 2026-02-21895Rockford IceHogs4Tucson Roadrunners3LSommaire du match
144 - 2026-02-27927Milwaukee Admirals3Tucson Roadrunners4WXSommaire du match
148 - 2026-03-03957Tucson Roadrunners3Calgary Wranglers7LSommaire du match
149 - 2026-03-04963Coachella Valley Firebirds7Tucson Roadrunners5LSommaire du match
153 - 2026-03-08989Milwaukee Admirals6Tucson Roadrunners7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159 - 2026-03-141021Colorado Eagles-Tucson Roadrunners-
164 - 2026-03-191051Henderson Silver Knights-Tucson Roadrunners-
167 - 2026-03-221072Tucson Roadrunners-Texas Stars-
169 - 2026-03-241084Colorado Eagles-Tucson Roadrunners-
174 - 2026-03-291108Springfield Thunderbirds-Tucson Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance177,66989,603
Assistance PCT95.52%96.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 8622 - 95.80% 430,588$13,348,230$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,306,645$ 1,619,474$ 1,619,474$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,306,645$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,722,352$ 21 9,150$ 192,150$




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