Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Connexion

Tucson Roadrunners
GP: 4 | W: 0 | L: 4
GF: 13 | GA: 24 | PP%: 0.00% | PK%: 94.12%
DG: Erix | Morale : 9 | Moyenne d’équipe : 58
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Rockford IceHogs
5-4-0, 10pts
7
FINAL
5 Tucson Roadrunners
0-4-0, 0pts
Team Stats
L3SéquenceL4
3-2-0Fiche domicile0-2-0
2-2-0Fiche domicile0-2-0
5-3-1Derniers 10 matchs0-4-0
4.78Buts par match 3.25
4.67Buts contre par match 6.00
17.65%Pourcentage en avantage numérique0.00%
84.38%Pourcentage en désavantage numérique94.12%
Rockford IceHogs
5-4-0, 10pts
7
FINAL
2 Tucson Roadrunners
0-4-0, 0pts
Team Stats
L3SéquenceL4
3-2-0Fiche domicile0-2-0
2-2-0Fiche domicile0-2-0
5-3-1Derniers 10 matchs0-4-0
4.78Buts par match 3.25
4.67Buts contre par match 6.00
17.65%Pourcentage en avantage numérique0.00%
84.38%Pourcentage en désavantage numérique94.12%
Meneurs d'équipe
Buts
Liam O'Brien
5
Passes
Michael Carcone
4
Points
Liam O'Brien
6
Plus/Moins
Liam O'Brien
3
Victoires
Matt Villalta
0
Pourcentage d’arrêts
Matt Villalta
0.865

Statistiques d’équipe
Buts pour
13
3.25 GFG
Tirs pour
131
32.75 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
38.5%
Buts contre
24
6.00 GAA
Tirs contre
178
44.50 Avg
Pourcentage en désavantage numérique
94.1%%
1 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralErix
EntraîneurSteve Spott
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 70
Espoirs27


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 moyen
1Liam O'Brien0X100.008888736086617358547060745457580486603022,000,000$
2Dylan Guenther0XX100.006738806362645761507161645152550486402121,400,000$
3Michael Carcone0XX100.005858626657666465556365615663580486302821,550,000$
4Nathan Smith0X100.00615270616567625757616059565857048610261775,000$
5Austin Poganski0XX100.00555766596667645955585763546358048600281775,000$
6John Leonard0XX100.00555968636466636055596059576056046600261775,000$
7Justin Kirkland0X100.00575668596663615863585860586258048600281775,000$
8Cameron Hebig0XX100.00555666615967655755565758546257043590271775,000$
9Curtis Douglas0X100.00585658598066665770565759545654048590241775,000$
10Hunter Drew0XX100.00585757596866655755565759546056048590261775,000$
11Jan Jenik0XX100.00575463596261605860585760555654048590241775,000$
12Travis Barron0XXX100.00575761576665645755565760546056048590261775,000$
13Travis Dermott0X100.006541876280697254406659805463580486602811,550,000$
14Michael Kesselring0X100.00565565627066635740595864545654048610241775,000$
15Maveric Lamoureux (R)0X100.00606060606060606060606060606060042600201775,000$
16Victor Soderstrom0X100.005751676066656058406355645455540486002311,400,000$
17Vladislav Kolyachonok0X100.00555466586566645740575562545553048590231775,000$
18Cameron Crotty0X100.00555566596766645640565458545855048580251775,000$
Rayé
1Ben McCartney0X100.00565763586363625755565858545553032580231775,000$
2Ryan McGregor0X100.00555467576163615660555861545855027580251775,000$
3Colin Theisen0X100.00555467566159585655565660556257027570271775,000$
4Milos Kelemen0XX100.00555865556862605551565656515553027570251775,000$
5Josh Doan0XX100.00515265535854535252525258515149027530221775,000$
6Montana Onyebuchi0X100.00585461567161615640555559545654027580241775,000$
7Steven Kampfer0X100.00555562586062615844575555547162027580361775,000$
MOYENNE D’ÉQUIPE100.0058566659666463575259576154595604260
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 moyen
1Matt Villalta0100.0062626272665666625959585854048620251775,000$
2Anson Thornton0100.00111111111111104810211775,000$
Rayé
MOYENNE D’ÉQUIPE100.003232323734293432303030302804832
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Spott66767571807569CAN547500,000$


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
1Liam O'BrienTucson Roadrunners (ARI)C45163201710164831.25%56917.44000100000130025.00%800001.7200000020
2Michael CarconeTucson Roadrunners (ARI)LW/RW41453002521194.76%16416.2100028000000040.00%500001.5400000000
3Curtis DouglasTucson Roadrunners (ARI)C4033300293260%27819.70000080000130055.93%11800000.7600000000
4Hunter DrewTucson Roadrunners (ARI)LW/RW4123-5004551620.00%15313.2700000000000066.67%300001.1300000000
5Travis DermottTucson Roadrunners (ARI)D4123-22059851312.50%98521.4200037000012000%000000.7000000000
6Vladislav KolyachonokTucson Roadrunners (ARI)D41230204440325.00%57619.1300001000015000%000000.7800000000
7Dylan GuentherTucson Roadrunners (ARI)LW/RW4123-500810125128.33%37719.49000080000140050.00%600000.7700000000
8Maveric LamoureuxTucson Roadrunners (ARI)D4022-220818140%27819.720002800005000%000000.5100000000
9Cameron CrottyTucson Roadrunners (ARI)D4022060415320%56315.830000000001000%000000.6300000000
10Justin KirklandTucson Roadrunners (ARI)C4022-50031783110%27719.26000180000140045.37%10800000.5200000000
11Cameron HebigTucson Roadrunners (ARI)LW/RW4101-1002340425.00%0307.6700000000000050.00%400000.6500000000
12Jan JenikTucson Roadrunners (ARI)LW/RW4101-74082100610.00%15213.1000000000000033.33%600000.3800000000
13John LeonardTucson Roadrunners (ARI)LW/RW4011-7752473100%05914.7800038000000025.00%400000.3400001000
14Michael KesselringTucson Roadrunners (ARI)D4101-8207331333.33%98822.1900018000015000%000000.2300000000
15Travis BarronTucson Roadrunners (ARI)C/LW/RW4011-120132220%0297.450000000000000%100000.6700000000
16Austin PoganskiTucson Roadrunners (ARI)LW/RW4000-100462120%0348.5500000000030037.84%370000000000000
17Nathan SmithTucson Roadrunners (ARI)C4000-740486390%16015.1500008000000051.56%640000000000000
18Victor SoderstromTucson Roadrunners (ARI)D4000-860657260%118521.2900038000011000%00000000000000
Statistiques d’équipe totales ou en moyenne72132437-5039591105131371169.92%57116616.20000168900001210048.35%36400000.6300001020
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
1Matt VillaltaTucson Roadrunners (ARI)40400.8656.0024000241780000040000
Statistiques d’équipe totales ou en moyenne40400.8656.002400024178000040000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Anson ThorntonTucson Roadrunners (ARI)G2128.06.2003 13:04:39No82 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Austin PoganskiTucson Roadrunners (ARI)LW/RW2816.02.1996No91 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ben McCartneyTucson Roadrunners (ARI)C2313.07.2001No90 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Cameron CrottyTucson Roadrunners (ARI)D2505.05.1999No96 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Cameron HebigTucson Roadrunners (ARI)LW/RW2721.01.1997No83 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Colin TheisenTucson Roadrunners (ARI)C2724.04.1997No85 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Curtis DouglasTucson Roadrunners (ARI)C2406.03.2000No110 Kg206 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Dylan GuentherTucson Roadrunners (ARI)LW/RW2110.04.2003No80 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm1,400,000$1,400,000$0$0$No1,400,000$--------No--------Lien
Hunter DrewTucson Roadrunners (ARI)LW/RW2621.10.1998No97 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Jan JenikTucson Roadrunners (ARI)LW/RW2415.09.2000No84 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
John LeonardTucson Roadrunners (ARI)LW/RW2607.08.1998No89 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien / Lien NHL
Josh DoanTucson Roadrunners (ARI)LW/RW2201.02.2002No83 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Justin KirklandTucson Roadrunners (ARI)C2802.08.1996No83 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Liam O'BrienTucson Roadrunners (ARI)C3029.07.1994No97 Kg185 CMNoNoN/ANoNo2FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$--------No--------Lien
Matt VillaltaTucson Roadrunners (ARI)G2503.06.1999No86 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Maveric LamoureuxTucson Roadrunners (ARI)D2013.01.2004Yes97 Kg201 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Michael CarconeTucson Roadrunners (ARI)LW/RW2819.05.1996No77 Kg175 CMNoNoN/ANoNo2FalseFalsePro & Farm1,550,000$1,550,000$0$0$No1,550,000$--------No--------Lien
Michael KesselringTucson Roadrunners (ARI)D2413.01.2000No86 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Milos KelemenTucson Roadrunners (ARI)LW/RW2506.07.1999No95 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Montana OnyebuchiTucson Roadrunners (ARI)D2408.03.2000No100 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nathan SmithTucson Roadrunners (ARI)C2619.10.1998No80 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ryan McGregorTucson Roadrunners (ARI)C2529.01.1999No88 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Steven KampferTucson Roadrunners (ARI)D3624.09.1988No90 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Travis BarronTucson Roadrunners (ARI)C/LW/RW2617.08.1998No93 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Travis DermottTucson Roadrunners (ARI)D2822.12.1996No92 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,550,000$1,550,000$0$0$No------------------Lien / Lien NHL
Victor SoderstromTucson Roadrunners (ARI)D2326.02.2001No84 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm1,400,000$1,400,000$0$0$No------------------Lien / Lien NHL
Vladislav KolyachonokTucson Roadrunners (ARI)D2326.05.2001No88 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.3789 Kg188 CM1.11924,074$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael CarconeCurtis DouglasLiam O'Brien34023
2Hunter DrewJustin KirklandDylan Guenther32023
3John LeonardNathan SmithJan Jenik31023
4Travis BarronAustin PoganskiCameron Hebig3122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottMaveric Lamoureux35023
2Victor SoderstromMichael Kesselring34032
3Vladislav KolyachonokCameron Crotty31032
4Vladislav KolyachonokCameron Crotty0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael CarconeCurtis DouglasDylan Guenther50023
2Nathan SmithJustin KirklandJohn Leonard50023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottMichael Kesselring50023
2Victor SoderstromMaveric Lamoureux50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin KirklandLiam O'Brien50041
2Curtis DouglasDylan Guenther50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottVictor Soderstrom50050
2Vladislav KolyachonokMichael Kesselring50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Liam O'Brien50041Travis DermottVictor Soderstrom50050
2Dylan Guenther50041Vladislav KolyachonokMichael Kesselring50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasLiam O'Brien50023
2Justin KirklandDylan Guenther50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottMaveric Lamoureux50032
2Victor SoderstromMichael Kesselring50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeCurtis DouglasDylan GuentherMichael KesselringMaveric Lamoureux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Austin PoganskiJustin KirklandLiam O'BrienTravis DermottVictor Soderstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Carcone, Dylan Guenther, John LeonardLiam O'Brien, Jan JenikAustin Poganski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Dermott, Victor Soderstrom, Michael KesselringVladislav KolyachonokMaveric Lamoureux, Cameron Crotty
Tirs de pénalité
Maveric Lamoureux, Justin Kirkland, John Leonard, Michael Carcone, Nathan Smith
Gardien
#1 : Matt Villalta, #2 : Anson Thornton
Lignes d’attaque personnalisées en prolongation
Michael Carcone, Dylan Guenther, John Leonard, Nathan Smith, Liam O'Brien, Justin Kirkland, Justin Kirkland, Jan Jenik, Austin Poganski, Curtis Douglas, Hunter Drew
Lignes de défense personnalisées en prolongation
Travis Dermott, Michael Kesselring, Victor Soderstrom, Maveric Lamoureux, Cameron Crotty


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
1Rockford IceHogs404000001324-1120200000714-720200000610-400.00013243700436013136474801785739911000.00%17194.12%06814048.57%7714652.74%317839.74%926192315527
Total404000001324-1120200000714-720200000610-400.00013243700436013136474801785739911000.00%17194.12%06814048.57%7714652.74%317839.74%926192315527
_Since Last GM Reset404000001324-1120200000714-720200000610-400.00013243700436013136474801785739911000.00%17194.12%06814048.57%7714652.74%317839.74%926192315527
_Vs Conference404000001324-1120200000714-720200000610-400.00013243700436013136474801785739911000.00%17194.12%06814048.57%7714652.74%317839.74%926192315527

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L413243713117857399100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
40400001324
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000714
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000610
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1000.00%17194.12%0
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
36474804360
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
6814048.57%7714652.74%317839.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
926192315527


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28Tucson Roadrunners2Rockford IceHogs4LSommaire du match
416Tucson Roadrunners4Rockford IceHogs6LSommaire du match
624Rockford IceHogs7Tucson Roadrunners5LSommaire du match
832Rockford IceHogs7Tucson Roadrunners2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 3000 - 100.00% 85,000$170,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,495,000$ 2,495,000$ 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$ 0 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