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Tuscon Roadrunners
GP: 3 | W: 1 | L: 1 | OTL: 1 | P: 3
GF: 8 | GA: 10 | PP%: 33.33% | PK%: 100.00%
DG: VK | Morale : 47 | Moyenne d’équipe : 60
Prochains matchs #58 vs Providence Bruins

Centre de jeu
Tuscon Roadrunners
1-1-1, 3pts
3
FINAL
4 Chicago Wolves
2-1-0, 4pts
Team Stats
W1SéquenceL1
1-1-0Fiche domicile1-1-0
0-0-1Fiche domicile1-0-0
1-1-1Derniers 10 matchs2-1-0
2.67Buts par match 2.67
3.33Buts contre par match 3.00
33.33%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique50.00%
Providence Bruins
1-2-1, 3pts
1
FINAL
2 Tuscon Roadrunners
1-1-1, 3pts
Team Stats
L1SéquenceW1
0-0-1Fiche domicile1-1-0
1-2-0Fiche domicile0-0-1
1-2-1Derniers 10 matchs1-1-1
2.50Buts par match 2.67
3.00Buts contre par match 3.33
0.00%Pourcentage en avantage numérique33.33%
100.00%Pourcentage en désavantage numérique100.00%
Tuscon Roadrunners
1-1-1, 3pts
Jour 6
Providence Bruins
1-2-1, 3pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-0-1
0-0-1Fiche visiteur1-2-0
1-1-110 derniers matchs1-2-1
2.67Buts par match 2.50
3.33Buts contre par match 2.50
33.33%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Providence Bruins
1-2-1, 3pts
Jour 8
Tuscon Roadrunners
1-1-1, 3pts
Statistiques d’équipe
L1SéquenceW1
0-0-1Fiche domicile1-1-0
1-2-0Fiche visiteur0-0-1
1-2-110 derniers matchs1-1-1
2.50Buts par match 2.67
3.00Buts contre par match 2.67
0.00%Pourcentage en avantage numérique33.33%
100.00%Pourcentage en désavantage numérique100.00%
Tuscon Roadrunners
1-1-1, 3pts
Jour 10
Manitoba Moose
2-0-1, 5pts
Statistiques d’équipe
W1SéquenceW2
1-1-0Fiche domicile1-0-1
0-0-1Fiche visiteur1-0-0
1-1-110 derniers matchs2-0-1
2.67Buts par match 3.33
3.33Buts contre par match 3.33
33.33%Pourcentage en avantage numérique37.50%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Patrick BrownButs
Patrick Brown
2
Passes
Oskar Steen
3
Points
Alex Belzile
3
Plus/Moins
Madison Bowey
2
Tristan JarryVictoires
Tristan Jarry
1
Tristan JarryPourcentage d’arrêts
Tristan Jarry
0.92

Statistiques d’équipe
Buts pour
8
2.67 GFG
Tirs pour
92
30.67 Avg
Pourcentage en avantage numérique
33.3%
1 GF
Début de zone offensive
39.3%
Buts contre
10
3.33 GAA
Tirs contre
113
37.67 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
34.7%
Informations de l'équipe

Directeur généralVK
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 65
Espoirs30


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
1Oskar Steen0X100.00623596757867605055515371645261053620271780,000$
2Patrick Brown38X100.00563594758466605055504762627673053610321780,000$
3Gage Quinney0X100.00424956487048626663535969426464053600291780,000$
4Maxim Groshev (R)0X100.00518049676461496261635667504545050600233867,500$
5Nikita Pavlychev0X100.00555170686061676342555451576060053590291780,000$
6Alex Belzile0X100.00525566546661456249644244548080056570333775,000$
7Raivis Ansons (R)0X100.00656150586361665547466563534545053570231844,167$
8Nicolas Petan0XXX100.005935757361656848535153475460480535603021,000,000$
9Matthew Highmore0XXX100.00403599767164605055514150606064053560291775,000$
10Hugh McGing (R)0X100.00533599747065605055414160605260053560261775,000$
11Jackson Cates0X100.00576149576451596764504845575656053550271780,000$
12Marc Johnstone0X100.00523599736963605055414150606063053550285894,167$
13Curtis Douglas (R)0X100.00743669706359535462564640524545053540253775,000$
14Marco Scandella0X100.00614193778274785540595268568480053700352800,000$
15Matt Benning0X100.005435748078876056405343695368780536803021,250,000$
16Madison Bowey0X100.00624865666567656140565564615750053620291775,000$
17Bryce Montgomery (R)0X100.00637567666447655843676667564545050620221775,000$
18Dan Renouf0X100.00743564566547575861514058556868053590303775,000$
19Lucas Carlsson0X100.00484358636454466640694762555656054590271775,000$
20Kale Clague (R)0X100.00403582807174605040553850495264053590263800,000$
21Corey Schueneman0X100.00474845646965555047664254546464053580295925,000$
22Noah Carroll0X100.00374249556347676148546468524545053570271775,000$
23Jordan Gross0X100.00567555676865486243535041476464050560295867,500$
Rayé
1Scott Walford (R)0X100.00483952456745666363575157524545052540261775,000$
2Luke Prokop (R)0X100.00404458546445495842704843604545052520221793,333$
MOYENNE D’ÉQUIPE100.0054476966686059575155505755585905359
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
1Tristan Jarry0100.00889092888787908689898064740528602945,375,000$
2Spencer Martin0100.00837280927881838283837664520547902931,000,000$
Rayé
1Erik Kallgren0100.0057486246474968455246585360054520283775,000$
MOYENNE D’ÉQUIPE100.007670787571728071757371606205372
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Alex BelzileTuscon Roadrunners (UTA)C31231554292611.11%03612.1100000101110066.67%3311001.6500100010
2Oskar SteenTuscon Roadrunners (UTA)C3033-1004813260%45719.0100002011010042.50%4041001.0500000000
3Madison BoweyTuscon Roadrunners (UTA)D31122003791211.11%57424.780000200001010%031000.5400000010
4Matthew HighmoreTuscon Roadrunners (UTA)C/LW/RW31120001331133.33%0258.400000000000000%001001.5900000000
5Patrick BrownTuscon Roadrunners (UTA)C3202-1002373628.57%15418.3200001000001033.33%622000.7300000001
6Zack KassianUtah Hockey ClubRW2112-11753092811.11%24020.3801102000000047.69%6520000.9800001000
7Ondrej KaseUtah Hockey ClubRW2112-20011771014.29%24120.7310112000000050.00%421000.9600000000
8Maxim GroshevTuscon Roadrunners (UTA)RW31120557571414.29%36822.7400011000000035.29%1702000.5900010000
9Bryce MontgomeryTuscon Roadrunners (UTA)D3011255743440%46722.510000000001000%033000.3000010000
10Nikita PavlychevTuscon Roadrunners (UTA)C3000-100554440%14414.910000000000000%14500000000000
11Gage QuinneyTuscon Roadrunners (UTA)C3000-100331240%04414.7600000000000050.00%181200000000000
12Nicolas PetanTuscon Roadrunners (UTA)C/LW/RW3000-100556240%24816.0300000000000050.00%62000000000000
13Matt BenningTuscon Roadrunners (UTA)D3000000000000%031.080000000000000%00000000000000
14Marco ScandellaTuscon Roadrunners (UTA)D3000000000000%000.150000000000000%00000000000000
15Corey SchuenemanTuscon Roadrunners (UTA)D3000100242110%23812.740000000000000%00000000000000
16Jackson CatesTuscon Roadrunners (UTA)C3000000000000%000.140000000000000%00000000000000
17Jordan GrossTuscon Roadrunners (UTA)D3000055100000%0227.340000200000000%00000000010000
18Hugh McGingTuscon Roadrunners (UTA)LW3000000011000%0206.83000000000000100.00%11000000000000
19Lucas CarlssonTuscon Roadrunners (UTA)D3000-555410210%15117.050000100000000%00200000001000
20Marc JohnstoneTuscon Roadrunners (UTA)RW3000000000000%020.900000000000000%00000000000000
21Noah CarrollTuscon Roadrunners (UTA)D3000-600315200%16822.750000100000000%03300000000000
22Raivis AnsonsTuscon Roadrunners (UTA)RW3000-200566250%35618.9200001000000050.00%60100000000000
23Kale ClagueTuscon Roadrunners (UTA)D3000100100000%03812.740000000000000%01000000000000
Statistiques d’équipe totales ou en moyenne6781119-14423061599238668.70%3190413.50112220112171148.73%1972925000.4200132021
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
1Tristan JarryTuscon Roadrunners (UTA)31110.9202.9818100911252010030100
Statistiques d’équipe totales ou en moyenne31110.9202.981810091125201030100


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 BelzileTuscon Roadrunners (UTA)C331991-08-31CANNo196 Lbs6 ft0NoNoTrade2024-08-08NoNo32024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Bryce MontgomeryTuscon Roadrunners (UTA)D222002-11-12USAYes216 Lbs6 ft5NoNoProspectNoNo12024-08-17FalseFalsePro & Farm775,000$0$0$No---------------------------
Corey SchuenemanTuscon Roadrunners (UTA)D291995-09-02USANo197 Lbs5 ft11NoNoTrade2024-08-08NoNo52024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$-----925,000$925,000$925,000$925,000$-----NoNoNoNo-----
Curtis DouglasTuscon Roadrunners (UTA)C252000-03-06CANYes235 Lbs6 ft9NoNoN/ANoNo32024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Dan RenoufTuscon Roadrunners (UTA)D301994-06-01CANNo198 Lbs6 ft1NoNoTrade2024-08-08NoNo32024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Erik KallgrenTuscon Roadrunners (UTA)G281996-10-14SWENo200 Lbs6 ft3NoNoTrade2024-08-17NoNo32024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Gage QuinneyTuscon Roadrunners (UTA)C291995-07-29USANo200 Lbs5 ft11NoNoFree AgentNoNo12025-04-01FalseFalsePro & Farm780,000$0$0$No---------------------------Lien
Hugh McGingTuscon Roadrunners (UTA)LW261998-07-11USAYes176 Lbs5 ft8NoNoN/ANoNo12024-07-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jackson CatesTuscon Roadrunners (UTA)C271997-09-28USANo190 Lbs6 ft0NoNoFree Agent2024-08-08NoNo12025-04-01FalseFalsePro & Farm780,000$0$0$No---------------------------
Jordan GrossTuscon Roadrunners (UTA)D291995-05-09USANo190 Lbs5 ft10NoNoTrade2024-08-08NoNo52024-07-05FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$-----867,500$867,500$867,500$867,500$-----NoNoNoNo-----
Kale ClagueTuscon Roadrunners (UTA)D261998-06-05CANYes190 Lbs6 ft0NoNoFree AgentNoNo32025-03-29FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien / Lien NHL
Lucas CarlssonTuscon Roadrunners (UTA)D271997-07-05SWENo189 Lbs6 ft0NoNoTrade2024-08-08NoNo12024-07-05FalseFalsePro & Farm775,000$0$0$No---------------------------
Luke ProkopTuscon Roadrunners (UTA)D222002-05-06CANYes220 Lbs6 ft6NoNoTrade2024-11-12NoNo12024-08-17FalseFalsePro & Farm793,333$0$0$No---------------------------
Madison BoweyTuscon Roadrunners (UTA)D291995-04-22CANNo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Marc JohnstoneTuscon Roadrunners (UTA)RW281996-06-19USANo180 Lbs6 ft0NoNoTrade2024-08-08NoNo52024-07-05FalseFalsePro & Farm894,167$0$0$No894,167$894,167$894,167$894,167$-----894,167$894,167$894,167$894,167$-----NoNoNoNo-----
Marco ScandellaTuscon Roadrunners (UTA)D351990-02-23CANNo212 Lbs6 ft3NoNoFree AgentNoNo22025-03-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Matt BenningTuscon Roadrunners (UTA)D301994-05-25CANNo203 Lbs6 ft1NoNoTrade2024-01-18NoNo2FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien NHL
Matthew HighmoreTuscon Roadrunners (UTA)C/LW/RW291996-02-27CANNo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Maxim GroshevTuscon Roadrunners (UTA)RW232001-12-14RUSYes199 Lbs6 ft2NoNoProspectNoNo32024-08-17FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Nicolas PetanTuscon Roadrunners (UTA)C/LW/RW301995-03-22CANNo172 Lbs4 ft11NoNoFree AgentNoNo22024-02-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nikita PavlychevTuscon Roadrunners (UTA)C291996-02-20RUSNo191 Lbs6 ft3NoNoFree AgentNoNo12025-04-01FalseFalsePro & Farm780,000$0$0$No---------------------------Lien
Noah CarrollTuscon Roadrunners (UTA)D271997-12-02CANNo191 Lbs6 ft1NoNoProspectNoNo12024-08-17FalseFalsePro & Farm775,000$0$0$No---------------------------
Oskar SteenTuscon Roadrunners (UTA)C271998-03-09SWENo193 Lbs5 ft10NoNoFree Agent2024-01-18NoNo12025-04-01FalseFalsePro & Farm780,000$0$0$No---------------------------Lien
Patrick BrownTuscon Roadrunners (UTA)C321992-05-29USANo210 Lbs6 ft1NoNoFree AgentNoNo12025-04-01FalseFalsePro & Farm780,000$0$0$No---------------------------Lien / Lien NHL
Raivis AnsonsTuscon Roadrunners (UTA)RW232002-01-29LVAYes191 Lbs6 ft1NoNoProspectNoNo12024-08-17FalseFalsePro & Farm844,167$0$0$No---------------------------
Scott WalfordTuscon Roadrunners (UTA)D261999-01-12CANYes202 Lbs6 ft1NoNoProspectNoNo12024-08-17FalseFalsePro & Farm775,000$0$0$No---------------------------
Spencer MartinTuscon Roadrunners (UTA)G291995-06-08CANNo210 Lbs6 ft3NoNoFree AgentNoNo32024-07-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tristan Jarry (contrat à 1 volet)Tuscon Roadrunners (UTA)G291995-04-29CANNo194 Lbs6 ft2NoNoN/ANoNo42024-01-16FalseFalsePro & Farm5,375,000$5,375,000$5,161,706$No5,375,000$5,375,000$5,375,000$------5,375,000$5,375,000$5,375,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.82198 Lbs6 ft12.14994,345$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim GroshevAlex BelzileHugh McGing40122
2Patrick BrownOskar SteenRaivis Ansons30122
3Nikita PavlychevGage QuinneyNicolas Petan20122
4Alex BelzileMaxim GroshevMatthew Highmore10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyBryce Montgomery40122
2Noah CarrollLucas Carlsson30122
3Kale ClagueCorey Schueneman20122
4Noah CarrollJordan Gross10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BelzileGage QuinneyOskar Steen60122
2Maxim GroshevPatrick BrownRaivis Ansons40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Gross60122
2Noah CarrollLucas Carlsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Raivis AnsonsOskar Steen60122
2Maxim GroshevGage Quinney40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyBryce Montgomery60122
2Noah CarrollLucas Carlsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Raivis Ansons60122Madison BoweyNoah Carroll60122
2Nikita Pavlychev40122Jordan GrossLucas Carlsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Patrick BrownMaxim Groshev60122
2Raivis AnsonsOskar Steen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Gross60122
2Noah CarrollLucas Carlsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage QuinneyPatrick BrownOskar SteenMadison BoweyBryce Montgomery
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage QuinneyPatrick BrownOskar SteenMadison BoweyBryce Montgomery
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Raivis Ansons, Nicolas Petan, Matthew HighmoreOskar Steen, Patrick BrownAlex Belzile
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Carroll, Jordan Gross, Madison BoweyNoah CarrollNoah Carroll, Jordan Gross
Tirs de pénalité
Raivis Ansons, Nicolas Petan, Matthew Highmore, Oskar Steen, Patrick Brown
Gardien
#1 : Tristan Jarry, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
Nicolas Petan, Nikita Pavlychev, Hugh McGing, Matthew Highmore, Oskar Steen, Patrick Brown, Gage Quinney, Maxim Groshev, Raivis Ansons, Alex Belzile
Lignes de défense personnalisées en prolongation
Madison Bowey, Bryce Montgomery, Noah Carroll, Lucas Carlsson, Kale Clague


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
1Chicago Wolves1000010034-1000000000001000010034-110.50034700035031213833036120222150.00%000%0387749.35%326847.06%265150.98%633459265930
2Providence Bruins2110000056-12110000056-10000000000020.500571210035061213833077194239100.00%10100.00%1387749.35%326847.06%265150.98%633459265930
Total31100100810-22110000056-11000010034-130.500811191003509221383301133142613133.33%10100.00%1387749.35%326847.06%265150.98%633459265930
_Since Last GM Reset31100100810-22110000056-11000010034-130.500811191003509221383301133142613133.33%10100.00%1387749.35%326847.06%265150.98%633459265930
_Vs Conference2110000056-12110000056-10000000000020.500571210035061213833077194239100.00%10100.00%1387749.35%326847.06%265150.98%633459265930
_Vs Division2110000056-12110000056-10000000000020.500571210035061213833077194239100.00%10100.00%1387749.35%326847.06%265150.98%633459265930

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
33W1811199211331426110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3110100810
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000056
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100010034
Derniers 10 matchs
WLOTWOTL SOWSOL
110100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3133.33%10100.00%1
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
21383300350
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
387749.35%326847.06%265150.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
633459265930


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
215Providence Bruins5Tuscon Roadrunners3LSommaire du match
326Tuscon Roadrunners3Chicago Wolves4LXSommaire du match
547Providence Bruins1Tuscon Roadrunners2WSommaire du match
658Tuscon Roadrunners-Providence Bruins-
880Providence Bruins-Tuscon Roadrunners-
10100Tuscon Roadrunners-Manitoba Moose-
11110Ontario Reign-Tuscon Roadrunners-
12120Tuscon Roadrunners-Providence Bruins-
14142Abbotsford Canucks-Tuscon Roadrunners-
15154Tuscon Roadrunners-San Jose Barracuda-
16170Chicago Wolves-Tuscon Roadrunners-
18188Tuscon Roadrunners-Chicago Wolves-
19199Tuscon Roadrunners-Ontario Reign-
20212Tuscon Roadrunners-Rockford IceHogs-
21222Abbotsford Canucks-Tuscon Roadrunners-
24248Providence Bruins-Tuscon Roadrunners-
25261Tuscon Roadrunners-San Jose Barracuda-
26278Henderson Silver Knights-Tuscon Roadrunners-
28298Abbotsford Canucks-Tuscon Roadrunners-
29311Tuscon Roadrunners-San Jose Barracuda-
30328Tuscon Roadrunners-Syracuse Crunch-
31341Coachella Valley Firebirds-Tuscon Roadrunners-
33356Tuscon Roadrunners-Rochester Americans-
34371Tuscon Roadrunners-Chicago Wolves-
35383Toronto Marlies-Tuscon Roadrunners-
36404Tuscon Roadrunners-Syracuse Crunch-
37414Rochester Americans-Tuscon Roadrunners-
39436Tuscon Roadrunners-Utica Comets-
40445Grand Rapids Griffins-Tuscon Roadrunners-
42468Hershey Bears-Tuscon Roadrunners-
44486Tuscon Roadrunners-Hershey Bears-
45500San Jose Barracuda-Tuscon Roadrunners-
47520Tuscon Roadrunners-Cleveland Monsters-
48533Lehigh Valley Phantoms-Tuscon Roadrunners-
50549Tuscon Roadrunners-Manitoba Moose-
51562Tuscon Roadrunners-Wilkes-Barre/Scranton Penguins-
52574Texas Stars-Tuscon Roadrunners-
54597Bridgeport Sound Tigers-Tuscon Roadrunners-
56615Tuscon Roadrunners-Milwaukee Admirals-
57627Syracuse Crunch-Tuscon Roadrunners-
59644Tuscon Roadrunners-Bridgeport Sound Tigers-
60659Wilkes-Barre/Scranton Penguins-Tuscon Roadrunners-
62681San Diego Gulls-Tuscon Roadrunners-
64699Tuscon Roadrunners-Springfield Thunderbirds-
65703Tuscon Roadrunners-Calgary Wranglers-
66722Belleville Senators-Tuscon Roadrunners-
68742Tuscon Roadrunners-Iowa Wild-
69758Colorado Eagles-Tuscon Roadrunners-
71767Tuscon Roadrunners-Calgary Wranglers-
72790Texas Stars-Tuscon Roadrunners-
74809Calgary Wranglers-Tuscon Roadrunners-
76822Tuscon Roadrunners-Hartford Wolf Pack-
77843Ontario Reign-Tuscon Roadrunners-
80866Tuscon Roadrunners-Ontario Reign-
81878Manitoba Moose-Tuscon Roadrunners-
83902Hartford Wolf Pack-Tuscon Roadrunners-
85922Tuscon Roadrunners-Lehigh Valley Phantoms-
86938Providence Bruins-Tuscon Roadrunners-
88955Tuscon Roadrunners-Providence Bruins-
89966Utica Comets-Tuscon Roadrunners-
90981Tuscon Roadrunners-San Diego Gulls-
92998Belleville Senators-Tuscon Roadrunners-
931011Tuscon Roadrunners-Rockford IceHogs-
941020Tuscon Roadrunners-Providence Bruins-
961037Chicago Wolves-Tuscon Roadrunners-
981057Tuscon Roadrunners-Lehigh Valley Phantoms-
991069Chicago Wolves-Tuscon Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1011095Manitoba Moose-Tuscon Roadrunners-
1021102Tuscon Roadrunners-Henderson Silver Knights-
1031115Tuscon Roadrunners-Laval Rocket-
1041128Tuscon Roadrunners-Belleville Senators-
1061143Abbotsford Canucks-Tuscon Roadrunners-
1081165Hartford Wolf Pack-Tuscon Roadrunners-
1111191Bakersfield Condors-Tuscon Roadrunners-
1121203Tuscon Roadrunners-Hartford Wolf Pack-
1131215Tuscon Roadrunners-Charlotte Checkers-
1141226Providence Bruins-Tuscon Roadrunners-
1161239Tuscon Roadrunners-Charlotte Checkers-
1201262San Jose Barracuda-Tuscon Roadrunners-
1211268Tuscon Roadrunners-Abbotsford Canucks-
1231290Cleveland Monsters-Tuscon Roadrunners-
1241293Tuscon Roadrunners-Abbotsford Canucks-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
91,978$ 2,246,667$ 2,246,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,552$ 91,978$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 17,552$ 2,158,896$




Tuscon 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

Tuscon 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

Tuscon 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

Tuscon 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

Tuscon 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