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Tucson Roadrunners
GP: 21 | W: 13 | L: 6 | OTL: 2 | P: 28
GF: 85 | GA: 73 | PP%: 19.48% | PK%: 73.24%
DG: Erix | Morale : 47 | Moyenne d’équipe : 60
Prochains matchs #355 vs Abbotsford Canucks
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Centre de jeu
Tucson Roadrunners
13-6-2, 28pts
3
FINAL
5 Colorado Eagles
11-8-2, 24pts
Team Stats
W1SéquenceL1
8-2-1Fiche domicile6-4-1
5-4-1Fiche domicile5-4-1
7-2-1Derniers 10 matchs4-5-1
4.05Buts par match 3.05
3.48Buts contre par match 3.14
19.48%Pourcentage en avantage numérique18.57%
73.24%Pourcentage en désavantage numérique82.28%
Manitoba Moose
7-12-3, 17pts
4
FINAL
7 Tucson Roadrunners
13-6-2, 28pts
Team Stats
L1SéquenceW1
4-5-1Fiche domicile8-2-1
3-7-2Fiche domicile5-4-1
2-6-2Derniers 10 matchs7-2-1
2.95Buts par match 4.05
3.82Buts contre par match 3.48
23.08%Pourcentage en avantage numérique19.48%
65.38%Pourcentage en désavantage numérique73.24%
Abbotsford Canucks
14-5-2, 30pts
Jour 47
Tucson Roadrunners
13-6-2, 28pts
Statistiques d’équipe
W4SéquenceW1
7-3-0Fiche domicile8-2-1
7-2-2Fiche visiteur5-4-1
7-3-010 derniers matchs7-2-1
4.00Buts par match 4.05
2.62Buts contre par match 4.05
28.95%Pourcentage en avantage numérique19.48%
81.82%Pourcentage en désavantage numérique73.24%
Tucson Roadrunners
13-6-2, 28pts
Jour 50
Chicago Wolves
2-19-1, 5pts
Statistiques d’équipe
W1SéquenceL7
8-2-1Fiche domicile1-8-1
5-4-1Fiche visiteur1-11-0
7-2-110 derniers matchs2-8-0
4.05Buts par match 1.27
3.48Buts contre par match 1.27
19.48%Pourcentage en avantage numérique15.49%
73.24%Pourcentage en désavantage numérique74.39%
Hartford Wolf Pack
6-12-4, 16pts
Jour 51
Tucson Roadrunners
13-6-2, 28pts
Statistiques d’équipe
W1SéquenceW1
4-6-1Fiche domicile8-2-1
2-6-3Fiche visiteur5-4-1
3-5-210 derniers matchs7-2-1
2.73Buts par match 4.05
3.50Buts contre par match 4.05
15.94%Pourcentage en avantage numérique19.48%
76.81%Pourcentage en désavantage numérique73.24%
Meneurs d'équipe
Benoit-Olivier GroulxButs
Benoit-Olivier Groulx
16
Alex BelzilePasses
Alex Belzile
18
Alex BelzilePoints
Alex Belzile
27
Alex BelzilePlus/Moins
Alex Belzile
18
Jaxson StauberVictoires
Jaxson Stauber
6
Michael HrabalPourcentage d’arrêts
Michael Hrabal
0.871

Statistiques d’équipe
Buts pour
85
4.05 GFG
Tirs pour
685
32.62 Avg
Pourcentage en avantage numérique
19.5%
15 GF
Début de zone offensive
42.5%
Buts contre
73
3.48 GAA
Tirs contre
526
25.05 Avg
Pourcentage en désavantage numérique
73.2%%
19 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralErix
EntraîneurSteve Potvin
DivisionPacific Division
ConférenceWestern Conference
CapitaineJayson Megna
Assistant #1Benoit-Olivier Groulx
Assistant #2Dmitri Simashev


Informations de l’aréna

Capacité3,000
Assistance2,817
Billets de saison0


Informations de la formation

Équipe Pro44
Équipe Mineure19
Limite contact 63 / 70
Espoirs36


Historique d'équipe

Saison actuelle13-6-2 (28PTS)
Historique106-58-20 (0.576%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)8-12
Coupe Stanley0


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
1Josh DunneXXX97.00716362728478746980646367687565051680281775,000$
2Benoit-Olivier Groulx (A)XXX99.006540777483876867626264686870600516802611,100,000$
3Daniil But (R)XX100.006140847487836570506565667055500306702131,400,000$
4Alex BelzileXXX99.00605059706271716745656467677063052650351775,000$
5Jayson Megna (C)XXX98.00604369716167666644636367677571052650362800,000$
6Sacha Boisvert (R)X100.006155767678786067506263616955500526502031,400,000$
7Austin PoganskiXX100.00604174656873726645656260646561047640301900,000$
8Dryden HuntXX100.00594762706371696845676164666558042640311775,000$
9Jack Devine (R)XX100.00654664736364626643646168675050052640232775,000$
10Andrew AgozzinoXXX100.00534273685771716561636155657568026630351775,000$
11Cameron HebigXXX100.00544369716071696764646360676050052630292900,000$
12T.J. TynanXXX100.00534467725171716644685365647063052630341775,000$
13Dmitri Simashev (R) (A)X99.006155757486856569405553646855500526602131,400,000$
14Jaycob MegnaX99.00664369657072716340474770617066042640342850,000$
15Matteo PietroniroX99.00655457716369676540565270655550052630283775,000$
16Maveric Lamoureux (R)X100.006950606674646265405447696250500406202221,400,000$
17Braden Hache (R)X100.00656253657067656240474567605150034610232813,750$
18Steven SantiniX100.00644173626869675840464268576561052610312840,000$
Rayé
1Ben McCartneyXX100.00605059696466646644646160655250020620251840,000$
2Jake LucchiniXXX100.00534272656072716664655952636558045620311775,000$
3Dominic ToninatoXXX100.00544663666171706662656055646558050620321775,000$
4Owen Allard (R)XXX100.00624173616864626142606060605050020600223900,000$
5Noel Nordh (R)XX100.00614174616663616042606060605050020590212975,000$
6Sam Lipkin (R)XXX100.00654368656764625641535163575150020580231775,000$
7Miko Matikka (R)XX100.00634172577263615941535252565050020560232975,000$
8Alexander DaryinXX100.00555555555555555540555555555555020550261900,000$
9Nathan Villeneuve (R)XXX100.005555555555555555555555555555550205502021,100,000$
10Ilya Fedotov (R)XX100.00555555555555555540555555555555020550232775,000$
11Vasily Atanasov (R)XXX100.00555555555555555555555555555555020550242775,000$
12Artyom Duda (R)X86.186442706766615860404944676050500356002221,100,000$
13Robbie RussoX100.00544272656272716340504661617060025600331775,000$
14Montana OnyebuchiX100.00614860597167656040474460575450020580261882,000$
15Terrell Goldsmith (R)X100.00674565607458555240434265545050020580213900,000$
16Kevin ConnautonX100.00534269596263625640444257557568020570361950,000$
17Cal Thomas (R)X100.00555555555555555540555555555555020550232800,000$
18Yaroslav Tsulygin (R)X100.00555555555555555540555555555555020550222775,000$
19Matthew Morden (R)X100.00555555555555555540555555555555020550223850,000$
20Jeremy Langlois (R)X100.00555555555555555540555555555555020550232975,000$
MOYENNE D’ÉQUIPE99.3760486565656764624657556161595603461
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
1Matt Villalta97.5074677264706971676972645550051640271937,125$
2Jaxson Stauber97.5075687360706972687073645550047640271892,500$
Rayé
1Michael Hrabal (R)100.00625555746361615862605050500485702131,100,000$
2Vyacheslav Buteyets (R)100.0064555564615756505960505250030540241775,000$
3Semyon Vyazovoi (R)100.0055555555555555554055555555030500232775,000$
4Anson Thornton (R)100.0055555555555555554055555555030500231840,000$
MOYENNE D’ÉQUIPE99.176459616262616259576356545203957
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Potvin6569696860551CAN5111,000,000$


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
1Alex BelzileTucson Roadrunners (UTA)C/LW/RW21918271860253764133614.06%840819.4513410631011511056.00%5000001.3200000410
2Benoit-Olivier GroulxTucson Roadrunners (UTA)C/LW/RW201672313100233485184218.82%339019.5420220610001421155.47%12800021.1800000420
3Josh DunneTucson Roadrunners (UTA)C/LW/RW211012223120545563214615.87%443120.5732512580002533166.82%44900101.0201000033
4Dryden HuntTucson Roadrunners (UTA)LW/RW2198174100292751133617.65%230014.310111144000000128.57%2100001.1300000301
5Dmitri SimashevTucson Roadrunners (UTA)D21512171560202246131810.87%1647322.572462168000032010%000000.7200000022
6Cameron HebigTucson Roadrunners (UTA)C/LW/RW211151672013393611292.78%228113.3900015000000062.71%29500001.1400000000
7T.J. TynanTucson Roadrunners (UTA)C/LW/RW2151116-220113443124811.63%535216.801671063000020042.73%11000000.9100000100
8Matteo PietroniroTucson Roadrunners (UTA)D21115161620044363714162.70%2046922.340331557000143000%000000.6800000020
9Austin PoganskiTucson Roadrunners (UTA)LW/RW16571280013152272822.73%321213.2501106000020120.00%1000001.1300000112
10Jake LucchiniTucson Roadrunners (UTA)C/LW/RW15641076011231982731.58%024316.21202345000011061.80%26700000.8200000010
11Sacha BoisvertTucson Roadrunners (UTA)C216410-38013226413439.38%334716.554041958000002056.35%12600000.5801000001
12Jaycob MegnaTucson Roadrunners (UTA)D21268-614035191811011.11%2642320.16011316000050000%000000.3800000100
13Daniil ButTucson Roadrunners (UTA)LW/RW9257120214298286.90%116318.12011419000091037.50%1600000.8601000000
14Jayson MegnaTucson Roadrunners (UTA)C/LW/RW21156-24010162716353.70%224511.710114470000260051.85%5400000.4900000000
15Maveric LamoureuxTucson Roadrunners (UTA)D18156-3295281912778.33%1534919.39011213011133000%000000.3400100000
16Steven SantiniTucson Roadrunners (UTA)D212355140201372528.57%1634516.4500000000048100%000000.2900000000
17Jack DevineTucson Roadrunners (UTA)LW/RW20145-3406152210174.55%21698.47000160000321042.86%1400000.5900000000
18Dominic ToninatoTucson Roadrunners (UTA)C/LW/RW18224-140613196710.53%11659.19000111000002053.28%12200000.4800000001
19Artyom DudaTucson Roadrunners (UTA)D90446401144210%612013.430002100006000%000000.6600000000
20Braden HacheTucson Roadrunners (UTA)D12123110021611029.09%818415.3701101000011000%000000.3300000001
21Andrew AgozzinoTucson Roadrunners (UTA)C/LW/RW7000-200044230%07210.3800016000080051.35%370000000000000
22Robbie RussoTucson Roadrunners (UTA)D3000-200212100%55217.530000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne3788514923480167539746868519848412.41%148620316.41152540140659112645713558.80%169900120.7503100141211
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
1Jaxson StauberTucson Roadrunners (UTA)86110.8683.8348620312350000084000
2Matt VillaltaTucson Roadrunners (UTA)115510.8583.3466520372600000.5002118000
3Michael HrabalTucson Roadrunners (UTA)22000.8712.00120004310000029000
Statistiques d’équipe totales ou en moyenne2113620.8633.401271407252600022121000


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10 2 3 4 5 6 7 8 9 10Lien
Alex BelzileTucson Roadrunners (UTA)C/LW/RW3531.08.1991No89 Kg183 CMNoNoAssign ManuallyNoNo119.11.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Alexander DaryinTucson Roadrunners (UTA)LW/RW2616.08.2000No75 Kg180 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm900,000$687,097$900,000$687,097$0$0$No------------------Lien / Lien NHL
Andrew AgozzinoTucson Roadrunners (UTA)C/LW/RW3503.01.1991No85 Kg178 CMNoNoAssign Manually16.07.2024NoNo118.08.2026Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Anson ThorntonTucson Roadrunners (UTA)G2328.06.2003Yes91 Kg193 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm840,000$641,290$840,000$641,290$0$0$No------------------Lien / Lien NHL
Artyom Duda (sur la masse salariale)Tucson Roadrunners (UTA)D2208.04.2004Yes85 Kg185 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$Yes1,100,000$--------No--------Lien / Lien NHL
Austin PoganskiTucson Roadrunners (UTA)LW/RW3016.02.1996No93 Kg185 CMNoNoAssign ManuallyNoNo127.08.2025Pro & Farm900,000$687,097$900,000$687,097$0$0$No------------------Lien / Lien NHL
Ben McCartneyTucson Roadrunners (UTA)LW/RW2513.07.2001No90 Kg183 CMNoNoAssign ManuallyNoNo106.07.2025Pro & Farm840,000$641,290$840,000$641,290$0$0$No------------------Lien / Lien NHL
Benoit-Olivier GroulxTucson Roadrunners (UTA)C/LW/RW2606.02.2000No93 Kg188 CMNoNoTrade28.09.2026NoNo114.06.2024Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No------------------Lien / Lien NHL
Braden HacheTucson Roadrunners (UTA)D2321.05.2003 08:13:34Yes95 Kg193 CMNoNoAssign ManuallyNoNo219.07.2026Pro & Farm813,750$621,250$813,750$621,250$0$0$No813,750$--------No--------Lien / Lien NHL
Cal ThomasTucson Roadrunners (UTA)D2308.05.2003Yes100 Kg185 CMNoNoAssign ManuallyNoNo218.07.2025Pro & Farm800,000$610,753$800,000$610,753$0$0$No800,000$--------No--------Lien / Lien NHL
Cameron HebigTucson Roadrunners (UTA)C/LW/RW2921.01.1997No83 Kg178 CMNoNoAssign ManuallyNoNo227.08.2025Pro & Farm900,000$687,097$900,000$687,097$0$0$No900,000$--------No--------Lien / Lien NHL
Daniil ButTucson Roadrunners (UTA)LW/RW2115.02.2005Yes98 Kg198 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No1,400,000$1,400,000$-------NoNo-------Lien / Lien NHL
Dmitri SimashevTucson Roadrunners (UTA)D2104.02.2005Yes92 Kg196 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No1,400,000$1,400,000$-------NoNo-------Lien / Lien NHL
Dominic ToninatoTucson Roadrunners (UTA)C/LW/RW3209.03.1994No91 Kg188 CMNoNoAssign ManuallyNoNo110.09.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Dryden HuntTucson Roadrunners (UTA)LW/RW3124.11.1995No88 Kg183 CMNoNoAssign ManuallyYesYes119.11.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Ilya FedotovTucson Roadrunners (UTA)LW/RW2319.03.2003 14:42:02Yes80 Kg185 CMNoNoAssign ManuallyNoNo204.08.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$--------No--------Lien / Lien NHL
Jack DevineTucson Roadrunners (UTA)LW/RW2302.10.2003Yes82 Kg183 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$--------No--------Lien / Lien NHL
Jake LucchiniTucson Roadrunners (UTA)C/LW/RW3109.05.1995No82 Kg183 CMNoNoAssign ManuallyNoNo110.09.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Jaxson StauberTucson Roadrunners (UTA)G2727.04.1999No79 Kg191 CMNoNoAssign Manually08.03.2025NoNo119.07.2026Pro & Farm892,500$681,371$892,500$681,371$0$0$No------------------Lien / Lien NHL
Jaycob MegnaTucson Roadrunners (UTA)D3410.12.1992No100 Kg198 CMNoNoAssign Manually07.03.2025YesYes219.08.2026Pro & Farm850,000$648,925$850,000$648,925$0$0$No850,000$--------No--------Lien / Lien NHL
Jayson MegnaTucson Roadrunners (UTA)C/LW/RW3601.02.1990No88 Kg185 CMNoNoAssign ManuallyNoNo219.08.2026Pro & Farm800,000$610,753$800,000$610,753$0$0$No800,000$--------No--------Lien / Lien NHL
Jeremy LangloisTucson Roadrunners (UTA)D2319.09.2003Yes84 Kg185 CMNoNoAssign ManuallyNoNo210.07.2026Pro & Farm975,000$744,355$975,000$744,355$0$0$No975,000$--------No--------Lien / Lien NHL
Josh DunneTucson Roadrunners (UTA)C/LW/RW2808.12.1998No94 Kg193 CMNoNoAssign ManuallyNoNo119.11.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Kevin ConnautonTucson Roadrunners (UTA)D3623.02.1990No93 Kg188 CMNoNoAssign ManuallyNoNo101.09.2024Pro & Farm950,000$725,269$950,000$725,269$0$0$No------------------Lien / Lien NHL
Matt VillaltaTucson Roadrunners (UTA)G2703.06.1999No86 Kg193 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm937,125$715,440$937,125$715,440$0$0$No------------------Lien / Lien NHL
Matteo PietroniroTucson Roadrunners (UTA)D2820.10.1998No84 Kg185 CMNoNoAssign ManuallyNoNo321.08.2026Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Matthew MordenTucson Roadrunners (UTA)D2229.07.2004Yes92 Kg193 CMNoNoAssign ManuallyNoNo310.07.2026Pro & Farm850,000$648,925$850,000$648,925$0$0$No850,000$850,000$-------NoNo-------Lien / Lien NHL
Maveric LamoureuxTucson Roadrunners (UTA)D2213.01.2004Yes97 Kg201 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No1,400,000$--------No--------Lien / Lien NHL
Michael HrabalTucson Roadrunners (UTA)G2120.01.2005Yes98 Kg201 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Miko MatikkaTucson Roadrunners (UTA)LW/RW2326.10.2003Yes91 Kg191 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm975,000$744,355$975,000$744,355$0$0$No975,000$--------No--------Lien / Lien NHL
Montana OnyebuchiTucson Roadrunners (UTA)D2608.03.2000No100 Kg191 CMNoNoAssign ManuallyNoNo119.07.2026Pro & Farm882,000$673,355$882,000$673,355$0$0$No------------------Lien / Lien NHL
Nathan VilleneuveTucson Roadrunners (UTA)C/LW/RW2013.04.2006Yes88 Kg183 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm1,100,000$839,785$1,100,000$839,785$0$0$No1,100,000$--------No--------Lien / Lien NHL
Noel NordhTucson Roadrunners (UTA)LW/RW2125.01.2005Yes90 Kg188 CMNoNoAssign ManuallyNoNo207.07.2025Pro & Farm975,000$744,355$975,000$744,355$0$0$No975,000$--------No--------Lien / Lien NHL
Owen AllardTucson Roadrunners (UTA)C/LW/RW2213.01.2004Yes85 Kg188 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm900,000$687,097$900,000$687,097$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Robbie RussoTucson Roadrunners (UTA)D3315.02.1993No88 Kg183 CMNoNoAssign Manually18.08.2024NoNo121.08.2026Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Sacha BoisvertTucson Roadrunners (UTA)C2017.03.2006Yes86 Kg191 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm1,400,000$1,068,817$1,400,000$1,068,817$0$0$No1,400,000$1,400,000$-------NoNo-------Lien / Lien NHL
Sam LipkinTucson Roadrunners (UTA)C/LW/RW2303.01.2003Yes87 Kg188 CMNoNoAssign ManuallyNoNo105.06.2024Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Semyon VyazovoiTucson Roadrunners (UTA)G2326.02.2003 14:43:14Yes81 Kg191 CMNoNoAssign ManuallyNoNo204.08.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$--------No--------Lien / Lien NHL
Steven SantiniTucson Roadrunners (UTA)D3107.03.1995No97 Kg191 CMNoNoAssign ManuallyNoNo227.08.2025Pro & Farm840,000$641,290$840,000$641,290$0$0$No840,000$--------No--------Lien / Lien NHL
T.J. TynanTucson Roadrunners (UTA)C/LW/RW3425.02.1992No75 Kg173 CMNoNoAssign ManuallyNoNo119.11.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Terrell GoldsmithTucson Roadrunners (UTA)D2113.05.2005Yes99 Kg193 CMNoNoAssign ManuallyNoNo314.06.2026Pro & Farm900,000$687,097$900,000$687,097$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Vasily AtanasovTucson Roadrunners (UTA)C/LW/RW2425.09.2002 14:44:31Yes69 Kg180 CMNoNoAssign ManuallyNoNo204.08.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$--------No--------Lien / Lien NHL
Vyacheslav ButeyetsTucson Roadrunners (UTA)G2429.05.2002Yes100 Kg193 CMNoNoAssign ManuallyNoNo124.10.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No------------------Lien / Lien NHL
Yaroslav TsulyginTucson Roadrunners (UTA)D2222.07.2004 06:38:15Yes84 Kg188 CMNoNoAssign ManuallyNoNo228.09.2025Pro & Farm775,000$591,667$775,000$591,667$0$0$No775,000$--------No--------Lien
Nombre de joueurs Âge moyen Poids moyen Taille moyenne Contrat moyen Salaire moyen 1e année
4426.1489 Kg188 CM1.75911,827$



Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Daniil ButJosh DunneJayson Megna35023
2Alex BelzileBenoit-Olivier GroulxAustin Poganski30023
3Cameron HebigSacha BoisvertDryden Hunt27023
4Andrew AgozzinoT.J. TynanJack Devine8041
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Matteo PietroniroDmitri Simashev38023
2Jaycob MegnaMaveric Lamoureux36023
3Braden HacheSteven Santini26032
4Dmitri SimashevMatteo Pietroniro0032
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Daniil ButJosh DunneJayson Megna60014
2Alex BelzileBenoit-Olivier GroulxAustin Poganski40014
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Matteo PietroniroDmitri Simashev60014
2Jaycob MegnaMaveric Lamoureux40014
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Josh DunneJayson Megna50041
2Benoit-Olivier GroulxAlex Belzile50041
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Matteo PietroniroDmitri Simashev50041
2Jaycob MegnaSteven Santini50041
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Daniil But50140Matteo PietroniroDmitri Simashev50140
2Benoit-Olivier Groulx50140Jaycob MegnaSteven Santini50140
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Josh DunneDaniil But60014
2Benoit-Olivier GroulxAlex Belzile40014
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Matteo PietroniroDmitri Simashev60023
2Jaycob MegnaSteven Santini40032
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Daniil ButJosh DunneJayson MegnaMatteo PietroniroDmitri Simashev
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Alex BelzileBenoit-Olivier GroulxAustin PoganskiJaycob MegnaSteven Santini
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Sacha Boisvert, Jayson Megna, Jack DevineJayson Megna, Jack DevineJayson Megna
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Braden Hache, Steven Santini, Jaycob MegnaJaycob MegnaDmitri Simashev, Matteo Pietroniro
Tirs de pénalité
Benoit-Olivier Groulx, Sacha Boisvert, Daniil But, Dmitri Simashev, Jayson Megna
Gardien
#1 : Jaxson Stauber, #2 : Matt Villalta
Lignes d’attaque personnalisées en prolongation
Benoit-Olivier Groulx, Daniil But, Andrew Agozzino, Alex Belzile, Jayson Megna, Sacha Boisvert, Sacha Boisvert, Austin Poganski, Dryden Hunt, Jack Devine, Cameron Hebig
Lignes de défense personnalisées en prolongation
Dmitri Simashev, Matteo Pietroniro, Jaycob Megna, Steven Santini, Braden Hache


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 Canucks2110000068-2110000004221010000026-420.500611170035242335423722121515722320448112.50%9455.56%044471562.10%34660057.67%20936856.79%535377464150272140
2Bakersfield Condors22000000936110000004131100000052341.000915240035242336023722121515391214275120.00%70100.00%044471562.10%34660057.67%20936856.79%535377464150272140
3Coachella Valley Firebirds1000000145-1000000000001000000145-110.5004610003524233452372212151532104264125.00%20100.00%044471562.10%34660057.67%20936856.79%535377464150272140
4Colorado Eagles20200000510-51010000025-31010000035-200.000591400352423367237221215154771235900.00%6183.33%044471562.10%34660057.67%20936856.79%535377464150272140
5Henderson Silver Knights540001002212103200010013762200000095490.9002238600035242331692372212151511423479818316.67%13284.62%144471562.10%34660057.67%20936856.79%535377464150272140
6Iowa Wild1010000057-2000000000001010000057-200.00059140035242333223722121515351082711100.00%4325.00%044471562.10%34660057.67%20936856.79%535377464150272140
7Manitoba Moose11000000743110000007430000000000021.00071320003524233342372212151527814174375.00%7271.43%044471562.10%34660057.67%20936856.79%535377464150272140
8Milwaukee Admirals10001000651100010006510000000000021.0006101600352423335237221215152191217100.00%6266.67%044471562.10%34660057.67%20936856.79%535377464150272140
9Rochester Americans10001000541100010005410000000000021.000591400352423336237221215154098235120.00%4175.00%044471562.10%34660057.67%20936856.79%535377464150272140
10San Diego Gulls11000000633110000006330000000000021.000612180035242333723722121515185615300.00%3166.67%044471562.10%34660057.67%20936856.79%535377464150272140
11San Jose Barracuda2110000045-11010000013-21100000032120.50047110035242336723722121515268122413215.38%5260.00%044471562.10%34660057.67%20936856.79%535377464150272140
12Toronto Marlies1010000013-2000000000001010000013-200.000112003524233172372212151525128292150.00%20100.00%044471562.10%34660057.67%20936856.79%535377464150272140
13Wilkes-Barre/Scranton Penguins10001000541000000000001000100054121.0005914003524233322372212151530126154125.00%3166.67%044471562.10%34660057.67%20936856.79%535377464150272140
Total21106031018573121162021004834141044010013739-2280.6678514923400352423368523722121515526148171397771519.48%711973.24%144471562.10%34660057.67%20936856.79%535377464150272140
_Since Last GM Reset21106031018573121162021004834141044010013739-2280.6678514923400352423368523722121515526148171397771519.48%711973.24%144471562.10%34660057.67%20936856.79%535377464150272140
_Vs Conference1810501101746212106201100433013843000013132-1240.6677413020400352423360023722121515431115149330661218.18%621772.58%144471562.10%34660057.67%20936856.79%535377464150272140
_Vs Division139200101513615751001002816126410000123203200.7695189140003524233432237221215153018110323451815.69%39976.92%144471562.10%34660057.67%20936856.79%535377464150272140

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
2128W18514923468552614817139700
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
2110631018573
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
116221004834
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
104410013739
Derniers 10 matchs
W L OTW OTL SOWSOL
720100
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
771519.48%711973.24%1
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
237221215153524233
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
44471562.10%34660057.67%20936856.79%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
535377464150272140


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
616Tucson Roadrunners4Coachella Valley Firebirds5ALXXSommaire du match
726San Diego Gulls3Tucson Roadrunners6BWSommaire du match
945San Jose Barracuda3Tucson Roadrunners1BLSommaire du match
1264Tucson Roadrunners2Abbotsford Canucks6ALSommaire du match
1378Tucson Roadrunners1Toronto Marlies3ALSommaire du match
1591Tucson Roadrunners3San Jose Barracuda2AWSommaire du match
1698Bakersfield Condors1Tucson Roadrunners4BWSommaire du match
18121Abbotsford Canucks2Tucson Roadrunners4BWSommaire du match
20143Milwaukee Admirals5Tucson Roadrunners6BWXSommaire du match
22157Tucson Roadrunners5Henderson Silver Knights3AWSommaire du match
23173Colorado Eagles5Tucson Roadrunners2BLSommaire du match
26192Henderson Silver Knights2Tucson Roadrunners3BWSommaire du match
28209Tucson Roadrunners5Bakersfield Condors2AWSommaire du match
29219Tucson Roadrunners4Henderson Silver Knights2AWSommaire du match
31236Tucson Roadrunners5Iowa Wild7ALSommaire du match
33251Henderson Silver Knights1Tucson Roadrunners7BWSommaire du match
36269Rochester Americans4Tucson Roadrunners5BWXSommaire du match
37284Tucson Roadrunners5Wilkes-Barre/Scranton Penguins4AWXSommaire du match
39298Henderson Silver Knights4Tucson Roadrunners3BLXSommaire du match
41315Tucson Roadrunners3Colorado Eagles5ALSommaire du match
44336Manitoba Moose4Tucson Roadrunners7BWSommaire du match
47355Abbotsford Canucks-Tucson Roadrunners-
50380Tucson Roadrunners-Chicago Wolves-
51391Hartford Wolf Pack-Tucson Roadrunners-
53414Tucson Roadrunners-Belleville Senators-
54421San Jose Barracuda-Tucson Roadrunners-
58449Tucson Roadrunners-Coachella Valley Firebirds-
59458Grand Rapids Griffins-Tucson Roadrunners-
61479Tucson Roadrunners-Coachella Valley Firebirds-
63493Bakersfield Condors-Tucson Roadrunners-
65514Tucson Roadrunners-Ontario Reign-
66520Texas Stars-Tucson Roadrunners-
68543Hershey Bears-Tucson Roadrunners-
71567Tucson Roadrunners-Chicago Wolves-
72574Tucson Roadrunners-Abbotsford Canucks-
73584Coachella Valley Firebirds-Tucson Roadrunners-
75610Ontario Reign-Tucson Roadrunners-
78628Tucson Roadrunners-Toronto Marlies-
79641Tucson Roadrunners-Ontario Reign-
80648Chicago Wolves-Tucson Roadrunners-
83675Tucson Roadrunners-Rockford IceHogs-
87680Laval Rocket-Tucson Roadrunners-
91707Rockford IceHogs-Tucson Roadrunners-
93726Tucson Roadrunners-Iowa Wild-
94741Grand Rapids Griffins-Tucson Roadrunners-
96753Tucson Roadrunners-Grand Rapids Griffins-
97770San Jose Barracuda-Tucson Roadrunners-
99786Tucson Roadrunners-Bakersfield Condors-
101802Tucson Roadrunners-Rockford IceHogs-
103809Providence Bruins-Tucson Roadrunners-
106835Syracuse Crunch-Tucson Roadrunners-
107839Tucson Roadrunners-San Diego Gulls-
110867Bakersfield Condors-Tucson Roadrunners-
112886Tucson Roadrunners-Texas Stars-
114898Charlotte Checkers-Tucson Roadrunners-
116916Tucson Roadrunners-Abbotsford Canucks-
118930Rochester Americans-Tucson Roadrunners-
120945Tucson Roadrunners-Calgary Wranglers-
121961Iowa Wild-Tucson Roadrunners-
123970Tucson Roadrunners-Cleveland Monsters-
126993San Diego Gulls-Tucson Roadrunners-
1281008Tucson Roadrunners-Milwaukee Admirals-
1291020Tucson Roadrunners-Colorado Eagles-
1311033Tucson Roadrunners-Ontario Reign-
1331041Utica Comets-Tucson Roadrunners-
1351063Abbotsford Canucks-Tucson Roadrunners-
1381083Tucson Roadrunners-San Jose Barracuda-
1401093Tucson Roadrunners-San Diego Gulls-
1411102Ontario Reign-Tucson Roadrunners-
1441122Tucson Roadrunners-Milwaukee Admirals-
1461134Tucson Roadrunners-Bakersfield Condors-
1491151Lehigh Valley Phantoms-Tucson Roadrunners-
1501161Tucson Roadrunners-Henderson Silver Knights-
1521175Manitoba Moose-Tucson Roadrunners-
1541189Tucson Roadrunners-Springfield Thunderbirds-
1571206San Diego Gulls-Tucson Roadrunners-
1601226Texas Stars-Tucson Roadrunners-
1671254Coachella Valley Firebirds-Tucson Roadrunners-
1691263Tucson Roadrunners-Hamilton Hammers-
1721287Ontario Reign-Tucson Roadrunners-
1751297Tucson Roadrunners-Manitoba Moose-
1761306Tucson Roadrunners-San Jose Barracuda-
1831328Coachella Valley Firebirds-Tucson Roadrunners-
1851342Tucson Roadrunners-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2
Capacité20001000
Prix des billets2515
Assistance20,39810,591
Assistance PCT92.72%96.28%

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe
31 2817 - 93.91% 81,101$892,112$3000100

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
1,174,031$ 4,012,038$ 4,012,038$ 0$
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial
0$ 922,046$ 0 0

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées
2,514,134$ 142 26,946$ 3,826,332$




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
1Phil Di Giuseppe14648741224111827220543411.06%21287819.72111829850001210346.93%00.85412
2Jayson Megna164394685264311736933511.64%24265816.210882702295357.62%00.6401
3Josh Doan141414384105612521241010.00%18245417.418142261101711049.01%10.6816
4Max Szuber1631562773713226913113211.36%140325019.9481321580220410%00.4700
5Andrew Agozzino159314374-9417020228410.92%22246515.51812205410123152.48%10.6003

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
1Matt Villalta100612990.9052.3060016923024160100.74439
2Jaxson Stauber48251930.8853.212788101149129400100
3Matt Tomkins3721870.9042.37223221889120200.60020
4Brandon Bussi29101050.8942.83161202767180101.0006
5Michael Hrabal22000.8712.001200043100000

Tucson Roadrunners Statistiques de l'Équipe de Carrière

Total Domicile Visiteur
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
Saison régulière
2482422402527237193444122801523131953641201601004106988104237424661058876696222070371976661198056373016082565722.27%3104585.48%11450259555.88%1385242657.09%736127857.59%2038141018626051079550
258239280553226622739412013041121451182741191501420121109121012664847500784918313237675279479462220762754315502535320.95%2384282.35%21433260854.95%1378249755.19%706132753.20%2009140118916031063536
2621106031018573121162021004834141044010013739-2288514923400352423368523722121515526148171397771519.48%711973.24%144471562.10%34660057.67%20936856.79%535377464150272140
Total Saison régulière185915801011510588493959348230773532424777924335034252642461823358810571645012207191175225281169217341775138471313381444355558612521.33%61910682.88%43327591856.22%3109552356.29%1651297355.53%458331894217136024151226
Séries éliminatoires
247340000023212321000001174413000001214-2623406300118401966667630208586014422522.73%29679.31%09722343.50%11223547.66%5611449.12%153102177528943
247340000023212321000001174413000001214-2623406300118401966667630208586014422522.73%29679.31%09722343.50%11223547.66%5611449.12%153102177528943
25624000002126-532100000139430300000817-942136570078512066467621316847421292528.00%20575.00%111622551.56%10320250.99%5511149.55%151106143447939
Total Séries éliminatoires20812000006768-1963000003523121129000003245-13166711618300292413159819620118813584163162417691217.39%781778.21%131067146.20%32767248.66%16733949.26%457310499150258126

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
1Egor Sokolov288816-4836283225.00%036513.06000000000066.67%00.8700
2Nikita Zaitsev146814-41244183020.00%2831322.38224180000200%00.8900
3Phil Di Giuseppe20212143243926523.85%440120.050221000000040.00%00.7000
4Josh Doan2049133025233411.76%232616.33011510130036.36%00.8000
5Joseph Blandisi1466124832204613.04%027719.842241000020237.50%00.8600

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
1Matt Villalta1991000.8833.511127806656504000
2Jaxson Stauber44000.9412.0024000813600000
3Brandon Bussi41110.8683.4820720129100000
4Matt Tomkins80800.8853.00480002420800000