Connexion

Tucson Roadrunners
GP: 13 | W: 5 | L: 6 | OTL: 2 | P: 12
GF: 51 | GA: 56 | PP%: 31.43% | PK%: 77.78%
DG: Andre Taubhorn | Morale : 95 | Moyenne d’équipe : 56
Prochains matchs #213 vs Springfield Bulldogs
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Centre de jeu
Tucson Roadrunners
5-6-2, 12pts
2
FINAL
3 Capital District Islanders
8-5-0, 16pts
Team Stats
L1SéquenceL1
4-2-1Fiche domicile5-2-0
1-4-1Fiche domicile3-3-0
4-4-2Derniers 10 matchs7-3-0
3.92Buts par match 4.31
4.31Buts contre par match 3.46
31.43%Pourcentage en avantage numérique38.78%
77.78%Pourcentage en désavantage numérique69.23%
Hershey Bears
10-2-1, 21pts
6
FINAL
5 Tucson Roadrunners
5-6-2, 12pts
Team Stats
W3SéquenceL1
6-0-0Fiche domicile4-2-1
4-2-1Fiche domicile1-4-1
7-2-1Derniers 10 matchs4-4-2
4.31Buts par match 3.92
2.85Buts contre par match 4.31
12.12%Pourcentage en avantage numérique31.43%
76.74%Pourcentage en désavantage numérique77.78%
Tucson Roadrunners
5-6-2, 12pts
Jour 30
Springfield Bulldogs
9-3-1, 19pts
Statistiques d’équipe
L1SéquenceW2
4-2-1Fiche domicile5-1-0
1-4-1Fiche visiteur4-2-1
4-4-210 derniers matchs8-2-0
3.92Buts par match 5.38
4.31Buts contre par match 5.38
31.43%Pourcentage en avantage numérique34.48%
77.78%Pourcentage en désavantage numérique66.67%
Tucson Roadrunners
5-6-2, 12pts
Jour 31
Naples Stingrays
1-9-2, 4pts
Statistiques d’équipe
L1SéquenceL6
4-2-1Fiche domicile1-5-1
1-4-1Fiche visiteur0-4-1
4-4-210 derniers matchs0-8-2
3.92Buts par match 3.00
4.31Buts contre par match 3.00
31.43%Pourcentage en avantage numérique33.33%
77.78%Pourcentage en désavantage numérique61.76%
Naples Stingrays
1-9-2, 4pts
Jour 33
Tucson Roadrunners
5-6-2, 12pts
Statistiques d’équipe
L6SéquenceL1
1-5-1Fiche domicile4-2-1
0-4-1Fiche visiteur1-4-1
0-8-210 derniers matchs4-4-2
3.00Buts par match 3.92
5.58Buts contre par match 3.92
33.33%Pourcentage en avantage numérique31.43%
61.76%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Kole LindButs
Kole Lind
7
Austin CzarnikPasses
Austin Czarnik
12
Alex Barre-BouletPoints
Alex Barre-Boulet
16
Sam MortonPlus/Moins
Sam Morton
7
Maxime LagaceVictoires
Maxime Lagace
4
Maxime LagacePourcentage d’arrêts
Maxime Lagace
0.883

Statistiques d’équipe
Buts pour
51
3.92 GFG
Tirs pour
497
38.23 Avg
Pourcentage en avantage numérique
31.4%
11 GF
Début de zone offensive
36.1%
Buts contre
56
4.31 GAA
Tirs contre
438
33.69 Avg
Pourcentage en désavantage numérique
77.8%%
8 GA
Début de la zone défensive
34.0%
Informations de l'équipe

Directeur généralAndre Taubhorn
EntraîneurGlen Gulutzan
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineChris Terry
Assistant #1Jagger Firkus
Assistant #2Christian Fischer


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison750


Informations de la formation

Équipe Pro42
Équipe Mineure19
Limite contact 61 / 65
Espoirs39


Historique d'équipe

Saison actuelle5-6-2 (12PTS)
Historique125-163-28 (0.396%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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
1Chris Terry (C)0XX100.00737176687180846750676364604444074630361750,000$
2Christian Fischer (A)0XX100.008558917778586461536155712572730786302811,250,000$
3Sam Morton (R)0X100.00756891646882876278596064574444077610261750,000$
4Austin Czarnik0XX100.00674189805951886469535565256565075610321762,500$
5Kole Lind0XX100.00697164687181866350596361604444073610271775,000$
6Alex Barre-Boulet0XXX100.00686381706357556680656362604444075600281775,000$
7Gage Quinney0XX100.00807395647366676278635767544444076600301750,000$
8Hudson Fasching0XX100.00694395717758676131555765256162065600301775,000$
9Joakim Kemell (R)0X100.007166826566788362505763626044440756002111,500,000$
10Jagger Firkus (R) (A)0X100.006960906660798459505658605544440745902131,500,000$
11Jackson Kunz (R)0X100.00888399808336306075724470424444069590232900,000$
12Jett Luchanko (R)0X100.007166838066555652655644604244440725501931,500,000$
13Uvis Balinskis0X100.00765488757265956425534867255656073640292750,000$
14Seamus Casey (R)0X100.006941996959606264256368632545450756002131,000,000$
15Cole McWard (R)0X100.00777191677176835125464262404444075600241750,000$
16Chase Priskie0X100.00757087667073775825495363504444075600291750,000$
17Hunter McDonald (R)0X100.00737862667878864825394160394444065590232800,000$
18Topi Niemela0X100.00746791656771775125474061384444062580231750,000$
Rayé
1Max McCormick0XX100.00716780666749466350576562624444065570331750,000$
2Oscar Eklind0XXX100.00848386658353545265534666444444062560271750,000$
3Ondrej Pavel0XX100.00767968647952525366505162484444062550251750,000$
4Philippe Daoust (R)0XX100.00777290657251505569565063484444062550241775,000$
5Filip Engaras0XX100.00787488627449494961474662444444062530261750,000$
6Sam Anas0XX100.00505050505050505050505050505050062480321750,000$
7Peter Abbandonato0X100.00505050505050505050505050505050062480271750,000$
8Ville Petman0XX100.00505050505050505050505050505050062480251750,000$
9Alex Gallant0XX100.00586639626644454550404451424444062470321750,000$
10Robert Bortuzzo0X98.93779965718155445825504777257477060640361950,000$
11Grant Hutton0X93.43754490677962616025514776254646056620301775,000$
12Luke Krys (R)0X100.00747084637070764925424160394444062570251750,000$
13Gavin White (R)0X100.00766893656860644725394061384444062560222850,000$
14David Reinbacher (R)0X100.007677756577423954254053635044440625502121,500,000$
15Christian Felton (R)0X100.00786999606936354125283960374444062510251750,000$
16Jack Dougherty0X100.00505050505050505050505050505050062480291750,000$
17Mitch Reinke0X100.00505050505050505050505050505050062480291750,000$
18Filip Johansson (R)0X100.005050505050505050505050505050500624802521,000,000$
19Jake McLaughlin0X100.00505050505050505050505050505050062480291750,000$
20Nikita Okhotyuk0X100.00505050505050505050505050505050062480241750,000$
MOYENNE D’ÉQUIPE99.7669637764675962554752516144484806756
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
1Maxime Lagace099.0049526575474950544949304444077520321750,000$
Rayé
1Devin Cooley064.4152405082575651575857304444067550281775,000$
2Keith Petruzzelli0100.0050505050505050505050505050067500261775,000$
3Amir Miftakhov0100.0050505050505050505050505050068500251750,000$
MOYENNE D’ÉQUIPE90.755048546451515053525240474707052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan71737270777171CAN531250,000$


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 Barre-BouletTucson Roadrunners (UTA)C/LW/RW136101634019941212814.63%521916.87224722000020064.71%1774001.4600000031
2Austin CzarnikTucson Roadrunners (UTA)C/RW134121612023174917328.16%521716.75066525000020052.82%142105001.4711000111
3Christian FischerTucson Roadrunners (UTA)C/RW1321012-1217151725399295.13%624318.73134423000060045.12%246116000.9902102010
4Chris TerryTucson Roadrunners (UTA)LW/RW136410-133830211747132312.77%924618.94112727000080047.62%2193100.8102123010
5Sam MortonTucson Roadrunners (UTA)C1355107101015182081425.00%519214.791011110112121060.31%13114001.0400002110
6Kole LindTucson Roadrunners (UTA)LW/RW137310-94220331035101820.00%922917.68202525000031050.00%1082000.8711121000
7Joakim KemellTucson Roadrunners (UTA)RW1354902018152681719.23%518914.60202231011131041.18%1715000.9500000000
8Grant HuttonTucson Roadrunners (UTA)D11257-1001817186211.11%1422220.21033719000022010%019000.6300000100
9Uvis BalinskisTucson Roadrunners (UTA)D13066-1118103021297100%1730623.56011528022125000%077000.3900011001
10Seamus CaseyTucson Roadrunners (UTA)D13044000151622970%1325319.53011115000019000%097000.3200000000
11Gage QuinneyTucson Roadrunners (UTA)C/LW13314-255161728121510.71%520115.471013130000120160.34%5886000.4000001001
12Jagger FirkusTucson Roadrunners (UTA)RW12044-140816151110%213311.1201102000190071.43%772000.6000000000
13Hudson FaschingTucson Roadrunners (UTA)LW/RW10134-100107271353.70%211711.7501101000090033.33%332000.6800000000
14Jett LuchankoTucson Roadrunners (UTA)C10314060108162318.75%212712.74000041013101051.79%5613000.6300000100
15Cole McWardTucson Roadrunners (UTA)D131231201420173125.88%1226020.01101115000018000%028000.2300000000
16Jackson KunzTucson Roadrunners (UTA)C9213000146125716.67%4768.52000000001100058.82%3440000.7800000000
17Robert BortuzzoTucson Roadrunners (UTA)D11022-426201313176110%1622220.27000323022014000%038000.1800121000
18Max McCormickTucson Roadrunners (UTA)LW/RW3022-120667060%13511.8200000000000033.33%321001.1300000000
19Topi NiemelaTucson Roadrunners (UTA)D1011-100101000%11717.480000000001000%010001.1400000000
20Hunter McDonaldTucson Roadrunners (UTA)D5011-320524210%35110.320000300002000%000000.3900000000
21Chase PriskieTucson Roadrunners (UTA)D1301141210201112450%822717.4700013000019000%018000.0900110000
22Connor DewarUtah MammothC/LW1011-100354130%02121.0300002000020060.00%2500000.9500000000
Statistiques d’équipe totales ou en moyenne2294783130-441921203292764861572599.67%144381316.651119305227225792304252.47%7709690100.68265811474
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
1Maxime LagaceTucson Roadrunners (UTA)84120.8833.584530127231145000.571767101
2Devin CooleyTucson Roadrunners (UTA)71500.8694.813370027206107010076100
Statistiques d’équipe totales ou en moyenne155620.8764.1079001544372520171313201


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex Barre-BouletTucson Roadrunners (UTA)C/LW/RW281997-05-21CANNo178 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$65,794$No---------------------------Lien / Lien NHL
Alex GallantTucson Roadrunners (UTA)C/LW321992-12-08CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Amir MiftakhovTucson Roadrunners (UTA)G252000-04-26RUSNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Austin CzarnikTucson Roadrunners (UTA)C/RW321992-12-11USANo169 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm762,500$76,250$64,733$No---------------------------Lien / Lien NHL
Chase PriskieTucson Roadrunners (UTA)D291996-03-19USANo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Chris TerryTucson Roadrunners (UTA)LW/RW361989-04-07CANNo202 Lbs5 ft10NoNoAssign ManuallyNoNo12025-09-14FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Christian FeltonTucson Roadrunners (UTA)D252000-02-04USAYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Christian FischerTucson Roadrunners (UTA)C/RW281997-04-15USANo212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$125,000$106,120$No---------------------------Lien / Lien NHL
Cole McWardTucson Roadrunners (UTA)D242001-06-09USAYes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
David ReinbacherTucson Roadrunners (UTA)D212004-10-25AUTYes209 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$127,344$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Devin Cooley (sur la masse salariale)Tucson Roadrunners (UTA)G281997-05-25USANo188 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$Yes---------------------------Lien / Lien NHL
Filip EngarasTucson Roadrunners (UTA)C/RW261999-05-16SWENo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Filip JohanssonTucson Roadrunners (UTA)D252000-03-23SWEYes176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$84,896$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Gage QuinneyTucson Roadrunners (UTA)C/LW301995-07-29USANo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Gavin WhiteTucson Roadrunners (UTA)D222002-11-12CANYes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm850,000$85,000$72,161$No850,000$--------850,000$--------No--------Lien / Lien NHL
Grant HuttonTucson Roadrunners (UTA)D301995-07-25USANo210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$65,794$No---------------------------Lien / Lien NHL
Hudson FaschingTucson Roadrunners (UTA)LW/RW301995-07-28USANo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$65,794$No---------------------------Lien / Lien NHL
Hunter McDonaldTucson Roadrunners (UTA)D232002-05-11USAYes205 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$67,917$No800,000$--------850,000$--------No--------Lien / Lien NHL
Jack DoughertyTucson Roadrunners (UTA)D291996-05-25USANo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Jackson KunzTucson Roadrunners (UTA)C232002-08-13USAYes227 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$90,000$76,406$No900,000$--------450,000$--------No--------
Jagger FirkusTucson Roadrunners (UTA)RW212004-04-29CANYes163 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$150,000$127,344$No1,500,000$1,500,000$-------891,667$891,667$-------NoNo-------
Jake McLaughlinTucson Roadrunners (UTA)D291996-03-26USANo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Jett LuchankoTucson Roadrunners (UTA)C192006-08-21CANYes180 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$150,000$127,344$No1,500,000$1,500,000$----------------NoNo-------Lien / Lien NHL
Joakim KemellTucson Roadrunners (UTA)RW212004-04-27FINYes182 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$127,344$No---------------------------Lien / Lien NHL
Keith PetruzzelliTucson Roadrunners (UTA)G261999-02-09USANo190 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$65,794$No---------------------------Lien / Lien NHL
Kole LindTucson Roadrunners (UTA)LW/RW271998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$65,794$No---------------------------Lien / Lien NHL
Luke KrysTucson Roadrunners (UTA)D252000-09-27USAYes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Max McCormickTucson Roadrunners (UTA)LW/RW331992-05-01USANo188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-14FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Maxime LagaceTucson Roadrunners (UTA)G321993-01-12CANNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Mitch ReinkeTucson Roadrunners (UTA)D291996-02-04USANo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Nikita OkhotyukTucson Roadrunners (UTA)D242000-12-04RUSNo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Ondrej PavelTucson Roadrunners (UTA)C/LW252000-08-29CZENo218 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Oscar EklindTucson Roadrunners (UTA)C/LW/RW271998-07-14SWENo220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Peter AbbandonatoTucson Roadrunners (UTA)C271998-03-25CANNo194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Philippe DaoustTucson Roadrunners (UTA)C/LW242001-11-05CANYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$77,500$65,794$No---------------------------Lien / Lien NHL
Robert BortuzzoTucson Roadrunners (UTA)D361989-03-18CANNo206 Lbs6 ft4NoNoAssign ManuallyNoNo12025-09-14FalseFalsePro & Farm950,000$95,000$80,651$No---------------------------Lien / Lien NHL
Sam AnasTucson Roadrunners (UTA)C/RW321993-06-01USANo161 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Sam MortonTucson Roadrunners (UTA)C261999-07-28USAYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Seamus CaseyTucson Roadrunners (UTA)D212004-01-08USAYes162 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$100,000$84,896$No1,000,000$1,000,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Topi NiemelaTucson Roadrunners (UTA)D232002-03-25FINNo181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Uvis BalinskisTucson Roadrunners (UTA)D291996-08-01LATNo196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$63,672$No750,000$--------750,000$--------No--------Lien / Lien NHL
Ville PetmanTucson Roadrunners (UTA)C/LW252000-01-18FINNo181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$63,672$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4226.83191 Lbs6 ft11.29861,607$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryChristian FischerKole Lind30122
2Alex Barre-BouletAustin CzarnikJoakim Kemell30122
3Gage QuinneySam MortonHudson Fasching25122
4Jett LuchankoJackson KunzJagger Firkus15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSeamus Casey35122
2Cole McWardChase Priskie34122
3Hunter McDonaldTopi Niemela25122
4Hunter McDonaldTopi Niemela6122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryChristian FischerKole Lind50122
2Alex Barre-BouletAustin CzarnikJoakim Kemell50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSeamus Casey50122
2Cole McWardChase Priskie50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryChristian Fischer50122
2Kole LindAustin Czarnik50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSeamus Casey50122
2Cole McWardChase Priskie50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Terry50122Uvis BalinskisSeamus Casey50122
2Christian Fischer50122Cole McWardChase Priskie50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryChristian Fischer50122
2Kole LindAustin Czarnik50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisSeamus Casey50122
2Cole McWardChase Priskie50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryChristian FischerKole LindUvis BalinskisSeamus Casey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryChristian FischerKole LindUvis BalinskisSeamus Casey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jett Luchanko, Sam Morton, Gage QuinneyJett Luchanko, Sam MortonGage Quinney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter McDonald, Topi Niemela, Cole McWardHunter McDonaldTopi Niemela, Cole McWard
Tirs de pénalité
Chris Terry, Christian Fischer, Kole Lind, Austin Czarnik, Sam Morton
Gardien
#1 : , #2 : Maxime Lagace


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
1Capital District Islanders2000010168-21000000145-11000010023-120.500691500629152681641701627671537734125.00%6266.67%015227754.87%14126154.02%11323049.13%278146251127262130
2Charlotte Checkers21100000990110000005321010000046-220.50091625106291528616417016276123285610220.00%4175.00%015227754.87%14126154.02%11323049.13%278146251127262130
3Florida Everblades22000000835110000004221100000041341.0008122000629152881641701627632149545120.00%70100.00%015227754.87%14126154.02%11323049.13%278146251127262130
4Hershey Bears20200000811-31010000056-11010000035-200.0008152300629152651641701627763022494250.00%60100.00%015227754.87%14126154.02%11323049.13%278146251127262130
5Naples Stingrays21100000981110000002021010000078-120.500916250162915276164170162750208358337.50%40100.00%015227754.87%14126154.02%11323049.13%278146251127262130
6Phoenix Coyotes20200000411-71010000028-61010000023-100.000471100629152851641701627792840492150.00%5340.00%015227754.87%14126154.02%11323049.13%278146251127262130
7Springfield Bulldogs10000010761100000107610000000000021.0007916006291522916417016274288172150.00%4250.00%315227754.87%14126154.02%11323049.13%278146251127262130
Total1346001115156-5732000112930-1614001002226-4120.4625184135116291524971641701627438145192333351131.43%36877.78%315227754.87%14126154.02%11323049.13%278146251127262130
_Since Last GM Reset1346001115156-5732000112930-1614001002226-4120.4625184135116291524971641701627438145192333351131.43%36877.78%315227754.87%14126154.02%11323049.13%278146251127262130
_Vs Conference1346001115156-5732000112930-1614001002226-4120.4625184135116291524971641701627438145192333351131.43%36877.78%315227754.87%14126154.02%11323049.13%278146251127262130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1312L1518413549743814519233311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
134601115156
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73200112930
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61401002226
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
351131.43%36877.78%3
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
1641701627629152
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
15227754.87%14126154.02%11323049.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
278146251127262130


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 Roadrunners7Naples Stingrays8LSommaire du match
424Phoenix Coyotes8Tucson Roadrunners2LSommaire du match
638Springfield Bulldogs6Tucson Roadrunners7WXXSommaire du match
854Tucson Roadrunners4Charlotte Checkers6LSommaire du match
1179Tucson Roadrunners3Hershey Bears5LSommaire du match
1286Florida Everblades2Tucson Roadrunners4WSommaire du match
15106Naples Stingrays0Tucson Roadrunners2WSommaire du match
17118Tucson Roadrunners4Florida Everblades1WSommaire du match
19140Tucson Roadrunners2Phoenix Coyotes3LSommaire du match
21152Charlotte Checkers3Tucson Roadrunners5WSommaire du match
23167Capital District Islanders5Tucson Roadrunners4LXXSommaire du match
25181Tucson Roadrunners2Capital District Islanders3LXSommaire du match
28199Hershey Bears6Tucson Roadrunners5LSommaire du match
30213Tucson Roadrunners-Springfield Bulldogs-
31229Tucson Roadrunners-Naples Stingrays-
33244Naples Stingrays-Tucson Roadrunners-
36263Tucson Roadrunners-Capital District Islanders-
38275Green Bay Lumberjacks-Tucson Roadrunners-
41296Tucson Roadrunners-Portland Wild Cats-
43312Texas Stars-Tucson Roadrunners-
45328Tucson Roadrunners-Charlestown Chiefs-
46338Tucson Roadrunners-Alberta Fire-
48350Phoenix Coyotes-Tucson Roadrunners-
51374Providence Bruins-Tucson Roadrunners-
53389Tucson Roadrunners-Grand Rapids Griffins-
55405Mississauga Wolves-Tucson Roadrunners-
58425San Antonio Rampage-Tucson Roadrunners-
60442Tucson Roadrunners-San Antonio Rampage-
62459Minnesota Duluth Lakers-Tucson Roadrunners-
64473Tucson Roadrunners-Milwaukee Admirals-
67492Tucson Roadrunners-Cape Breton Roaring Moose-
68503San Diego Gulls-Tucson Roadrunners-
71524Florida Everblades-Tucson Roadrunners-
73541Tucson Roadrunners-Salt Lake City Lynx-
75557Henderson Silver Knights-Tucson Roadrunners-
77573Tucson Roadrunners-Indianapolis Knights-
79588Tucson Roadrunners-Naples Stingrays-
80595Portland Wild Cats-Tucson Roadrunners-
83619Capital District Islanders-Tucson Roadrunners-
85636Tucson Roadrunners-Tofino Whalers-
87649Tucson Roadrunners-Seattle Thunderbirds-
88660Phoenix Coyotes-Tucson Roadrunners-
91683Salt Lake City Lynx-Tucson Roadrunners-
93700Tucson Roadrunners-Green Bay Lumberjacks-
95713Tucson Roadrunners-Hershey Bears-
96723Utica Comets-Tucson Roadrunners-
98737Tucson Roadrunners-Oklahoma City Barons-
101756Florida Everblades-Tucson Roadrunners-
103775Tucson Roadrunners-Phoenix Coyotes-
105784Oklahoma City Barons-Tucson Roadrunners-
108806Tucson Roadrunners-Flint Admirals-
110819Laval Rocket-Tucson Roadrunners-
112838Tucson Roadrunners-Phoenix Coyotes-
114852Tofino Whalers-Tucson Roadrunners-
116872Tucson Roadrunners-San Diego Gulls-
118882Hershey Bears-Tucson Roadrunners-
121903Tucson Roadrunners-Manitoba Moose-
122916Manitoba Moose-Tucson Roadrunners-
124933Tucson Roadrunners-Seattle Thunderbirds-
127945Hartford Wolf Pack-Tucson Roadrunners-
129963Tucson Roadrunners-Henderson Silver Knights-
131975Springfield Bulldogs-Tucson Roadrunners-
1341001Naples Stingrays-Tucson Roadrunners-
1371014Tucson Roadrunners-Capital District Islanders-
1391032Tucson Roadrunners-Florida Everblades-
1401043Hershey Bears-Tucson Roadrunners-
1441067Tucson Roadrunners-Utica Comets-
1451075Seattle Thunderbirds-Tucson Roadrunners-
1481093Tucson Roadrunners-Florida Everblades-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1501105Indianapolis Knights-Tucson Roadrunners-
1541131Grand Rapids Griffins-Tucson Roadrunners-
1551140Tucson Roadrunners-Texas Stars-
1591165Springfield Bulldogs-Tucson Roadrunners-
1621187Tucson Roadrunners-Hershey Bears-
1631197Seattle Thunderbirds-Tucson Roadrunners-
1661216Tucson Roadrunners-Springfield Bulldogs-
1681229Capital District Islanders-Tucson Roadrunners-
1701244Tucson Roadrunners-Springfield Bulldogs-
1711248Tucson Roadrunners-Minnesota Duluth Lakers-
1721260Tucson Roadrunners-Charlotte Checkers-
1751272Milwaukee Admirals-Tucson Roadrunners-
1781291Tucson Roadrunners-Charlotte Checkers-
1811303Charlotte Checkers-Tucson Roadrunners-
1891336Charlotte Checkers-Tucson Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 105,000$735,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
588,777$ 3,541,250$ 3,541,250$ 250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,541,250$ 588,777$ 41 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,675,000$ 163 19,746$ 3,218,598$




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
1Nathan Walker2276372135-6422827829839815.83%54401517.69212748445272112537.89%10.67410
2Chris Wagner1284960109-1223623620432615.03%61263320.5715294432112163251.37%10.8328
3Liam O'Brien219386199-4059042228333511.34%64352016.071531464010183250.10%00.56410
4David Gust223475299-195924329032114.64%49336915.1118284647314108146.00%00.5949
5Nick Cousins76375390-125111913826314.07%37161021.201327402910186345.62%31.1235

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
1Zachary Fucale110445780.8673.1663938433725261547530.91736
2Alex Sakellaropoulos44201460.8992.0724902786852524230.66721
3Devin Cooley46182510.8993.112544031321302830120.71414
4Tyler Parsons32121340.8772.9216830382665411220.66715
5Maxime Lagace38121540.9022.8119852293947594220.50018

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
Saison régulière
202076223108753175212-3738915046137997-183813160414096115-198017527244751032616922153337552559970175754085816961695633.14%1595664.78%1569110951.31%560108551.61%46985754.73%141258614387941765907
202276184303471181264-83388230222190140-503810200125091124-33611812814623232627713119522140854155176959986912881716035.09%1706462.35%552897754.04%538110748.60%42887748.80%130047914728201840954
202376263700733219239-203817170012111611423892000612103125-226821935257123449379101950504717722302005647165815891978844.67%2157764.19%7642127650.31%649130949.58%476103446.03%143164714617931704842
202478164606163160232-72397230304285112-27399230312175120-45601602434034532476922133631645854053228977562714481667243.37%1464966.44%2508107747.17%573124046.21%42087548.00%131448115868231826957
20251346001115156-5732000112930-1614001002226-4125184135116291524971641701627438145192333351131.43%36877.78%315227754.87%14126154.02%11323049.13%278146251127262130
Total Saison régulière319861630172022117861003-2171604480099108399493-9415942830811123387510-123281786123220181521146292309696511158022782564215825827064204635473828738.89%72625465.01%182399471650.87%2461500249.20%1906387349.21%573823416210335973983791
Séries éliminatoires
Total Séries éliminatoires00000000000000%0%0%0%0%000000

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