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Tuscon Roadrunners
GP: 16 | W: 11 | L: 5
GF: 48 | GA: 32 | PP%: 50.00% | PK%: 86.67%
DG: VK | Morale : 73 | Moyenne d’équipe : 58

Centre de jeu
Tuscon Roadrunners
11-5-0, 22pts
2
FINAL
3 Manitoba Moose
16-10-0, 32pts
Team Stats
L1SéquenceW1
6-3-0Fiche domicile6-6-0
5-2-0Fiche domicile10-4-0
6-3-1Derniers 10 matchs7-1-2
3.00Buts par match 2.77
2.00Buts contre par match 2.19
50.00%Pourcentage en avantage numérique13.79%
86.67%Pourcentage en désavantage numérique70.00%
Manitoba Moose
16-10-0, 32pts
3
FINAL
2 Tuscon Roadrunners
11-5-0, 22pts
Team Stats
W1SéquenceL1
6-6-0Fiche domicile6-3-0
10-4-0Fiche domicile5-2-0
7-1-2Derniers 10 matchs6-3-1
2.77Buts par match 3.00
2.19Buts contre par match 2.00
13.79%Pourcentage en avantage numérique50.00%
70.00%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Austin WagnerButs
Austin Wagner
9
Austin WagnerPasses
Austin Wagner
13
Austin WagnerPoints
Austin Wagner
22
Austin WagnerPlus/Moins
Austin Wagner
15
Spencer MartinVictoires
Spencer Martin
11
Spencer MartinPourcentage d’arrêts
Spencer Martin
0.941

Statistiques d’équipe
Buts pour
48
3.00 GFG
Tirs pour
534
33.38 Avg
Pourcentage en avantage numérique
50.0%
8 GF
Début de zone offensive
36.9%
Buts contre
32
2.00 GAA
Tirs contre
542
33.88 Avg
Pourcentage en désavantage numérique
86.7%%
2 GA
Début de la zone défensive
40.0%
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 Pro30
Équipe Mineure20
Limite contact 50 / 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 Steen0X100.00623596757867605055515371645261083620261800,000$
2Gage Quinney0X100.00424956487048626663535969426464080600291775,000$
3Maxim Groshev (R)0X100.00518049676461496261635667504545082600234867,500$
4Cooper Marody0XXX100.00606946626261666563684056426060079590281775,000$
5Austin Wagner0XX100.00605362686365636040525560615450081590271775,000$
6Tanner Laczynski (R)0X100.00515569676354685761476163485656084590271775,000$
7Turner Elson0X100.00544965666560546665605040537676081590321775,000$
8Steven Fogarty0X100.00485956556449625361675849537272059580311775,000$
9Alex Belzile0X100.00525566546661456249644244548080084570334775,000$
10Raivis Ansons (R)0X100.00656150586361665547466563534545081570232844,167$
11Brandon Gignac (R)0X100.00453599777272605055414853635666082570271775,000$
12Nicolas Petan0XXX100.005935757361656848535153475460480835602931,000,000$
13Matthew Highmore0XXX100.00403599767164605055514150606064083560292775,000$
14Hugh McGing (R)0X100.00533599747065605055414160605260083560262775,000$
15Jackson Cates (R)0X100.00576149576451596764504845575656083550271775,000$
16Marc Johnstone0X100.00523599736963605055414150606063083550286894,167$
17Madison Bowey0X100.00624865666567656140565564615750080620292775,000$
18Bryce Montgomery (R)0X100.00637567666447655843676667564545079620222775,000$
19Dan Renouf0X100.00743564566547575861514058556868080590304775,000$
20Lucas Carlsson (R)0X100.00484358636454466640694762555656079590272775,000$
21Kale Clague (R)0X100.00403582807174605040553850495264084590261775,000$
22Corey Schueneman0X100.00474845646965555047664254546464083580296925,000$
23Noah Carroll (R)0X100.00374249556347676148546468524545082570272775,000$
24Jordan Gross0X100.00567555676865486243535041476464088560296867,500$
25Nikolas Matinpalo0X100.00403599747762605040413850495259083560266801,667$
Rayé
1Curtis Douglas (R)0X100.00743669706359535462564640524545020540244775,000$
2Scott Walford (R)0X100.00483952456745666363575157524545020540262775,000$
3Luke Prokop (R)0X100.00404458546445495842704843604545019520222793,333$
MOYENNE D’ÉQUIPE100.0053486865675959575355505554575807558
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
1Spencer Martin0100.00837280927881838283837664520887902941,000,000$
2Erik Kallgren (R)0100.0057486246474968455246585360040520284775,000$
Rayé
MOYENNE D’ÉQUIPE100.007060716963657664686567595606466
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
1Austin WagnerTuscon Roadrunners (ARZ)LW/RW1691322152915352680194411.25%730218.8912327000171126.09%23217001.4600120420
2Gage QuinneyTuscon Roadrunners (ARZ)C16713201420132544213315.91%828617.9002217000041052.61%26868001.4000000023
3Turner ElsonTuscon Roadrunners (ARZ)LW16681476033654143511.11%525315.813147100001121145.45%1194001.1100000110
4Oskar SteenTuscon Roadrunners (ARZ)C166814-100032487320358.22%1838824.290332100000154044.84%5042514000.7200000014
5Madison BoweyTuscon Roadrunners (ARZ)D16461051152126299813.79%3337623.51426712000212000%0423000.5300010101
6Tanner LaczynskiTuscon Roadrunners (ARZ)C16437655251838122710.53%823314.61011210000002051.92%104512000.6000010010
7Maxim GroshevTuscon Roadrunners (ARZ)RW16246-11242044255923343.39%1329518.4800000000000047.83%23186000.4100112010
8Nicolas PetanTuscon Roadrunners (ARZ)C/LW/RW1632570019171961515.79%322113.8200000000040050.00%437000.4500000000
9Bryce MontgomeryTuscon Roadrunners (ARZ)D16055617151919236120%3136022.5100000000015000%01513000.2800021000
10Raivis AnsonsTuscon Roadrunners (ARZ)RW16415141915311326141915.38%927617.2701117000001054.55%11105000.3601021010
11Brandon GignacTuscon Roadrunners (ARZ)C16235-11001518235148.70%1330318.9500000000001029.63%27111000.3300000000
12Lucas CarlssonTuscon Roadrunners (ARZ)D160444556913440%1227417.170000600008000%046000.2900010000
13Noah CarrollTuscon Roadrunners (ARZ)D1603365510252515110%2135622.2600006000011000%0624000.1700010001
14Kale ClagueTuscon Roadrunners (ARZ)D16033-100154000%1120913.070000000000000%003000.2900000000
15Matthew HighmoreTuscon Roadrunners (ARZ)C/LW/RW160110001711450%11197.4800000000000066.67%313000.1700000000
16Alex BelzileTuscon Roadrunners (ARZ)C16101000138102510.00%11157.190000000000000%302000.1700000000
17Corey SchuenemanTuscon Roadrunners (ARZ)D16011-100582210%1321013.130000000000000%008000.1000000000
18Jordan GrossTuscon Roadrunners (ARZ)D1601111010710310%21207.5101101200003000%000000.1700002000
19Cooper MarodyTuscon Roadrunners (ARZ)C/LW/RW16000-100401100%0573.5800000000080020.00%100100000000000
20Dan RenoufTuscon Roadrunners (ARZ)D16000000000000%010.080000000000000%00000000000000
21Jackson CatesTuscon Roadrunners (ARZ)C16000000000000%000.010000000000000%00000000000000
22Hugh McGingTuscon Roadrunners (ARZ)LW16000000000000%000.010000000000000%00000000000000
23Marc JohnstoneTuscon Roadrunners (ARZ)RW16000000000000%010.090000000000000%00000000000000
24Nikolas MatinpaloTuscon Roadrunners (ARZ)D16000000000010%0140.890000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne384487912750133953343045341803048.99%209477612.44813212295000410611246.72%991128158000.53012116699
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
1Spencer MartinTuscon Roadrunners (ARZ)1611410.9412.0096001325422642000160612
Statistiques d’équipe totales ou en moyenne1611410.9412.009600132542264200160612


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 (ARZ)C331991-08-31CANNo196 Lbs6 ft0NoNoTrade2024-08-08NoNo42024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Austin WagnerTuscon Roadrunners (ARZ)LW/RW271997-06-23CANNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-08-08FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Brandon GignacTuscon Roadrunners (ARZ)C271997-11-07CANYes188 Lbs5 ft11NoNoAssign ManuallyNoNo12024-08-08FalseFalsePro & Farm775,000$0$0$No---------------------------
Bryce MontgomeryTuscon Roadrunners (ARZ)D222002-11-12USAYes216 Lbs6 ft5NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Cooper MarodyTuscon Roadrunners (ARZ)C/LW/RW281996-12-20USANo184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Corey SchuenemanTuscon Roadrunners (ARZ)D291995-09-02USANo197 Lbs5 ft11NoNoTrade2024-08-08NoNo62024-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$925,000$----925,000$925,000$925,000$925,000$925,000$----NoNoNoNoNo----
Curtis DouglasTuscon Roadrunners (ARZ)C242000-03-06CANYes235 Lbs6 ft9NoNoN/ANoNo42024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Dan RenoufTuscon Roadrunners (ARZ)D301994-06-01CANNo198 Lbs6 ft1NoNoTrade2024-08-08NoNo42024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Erik KallgrenTuscon Roadrunners (ARZ)G281996-10-14SWEYes200 Lbs6 ft3NoNoTrade2024-08-17NoNo42024-08-01FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Gage QuinneyTuscon Roadrunners (ARZ)C291995-07-29USANo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Hugh McGingTuscon Roadrunners (ARZ)LW261998-07-11USAYes176 Lbs5 ft8NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Jackson CatesTuscon Roadrunners (ARZ)C271997-09-28USAYes190 Lbs6 ft0NoNoTrade2024-08-08NoNo12024-07-05FalseFalsePro & Farm775,000$0$0$No---------------------------
Jordan GrossTuscon Roadrunners (ARZ)D291995-05-09USANo190 Lbs5 ft10NoNoTrade2024-08-08NoNo62024-07-05FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$867,500$----867,500$867,500$867,500$867,500$867,500$----NoNoNoNoNo----
Kale ClagueTuscon Roadrunners (ARZ)D261998-06-05CANYes190 Lbs6 ft0NoNoN/ANoNo12024-01-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Lucas CarlssonTuscon Roadrunners (ARZ)D271997-07-05SWEYes189 Lbs6 ft0NoNoTrade2024-08-08NoNo22024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Luke ProkopTuscon Roadrunners (ARZ)D222002-05-06CANYes220 Lbs6 ft6NoNoTrade2024-11-12NoNo22024-08-17FalseFalsePro & Farm793,333$0$0$No793,333$--------793,333$--------No--------
Madison BoweyTuscon Roadrunners (ARZ)D291995-04-22CANNo203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Marc JohnstoneTuscon Roadrunners (ARZ)RW281996-06-19USANo180 Lbs6 ft0NoNoTrade2024-08-08NoNo62024-07-05FalseFalsePro & Farm894,167$0$0$No894,167$894,167$894,167$894,167$894,167$----894,167$894,167$894,167$894,167$894,167$----NoNoNoNoNo----
Matthew HighmoreTuscon Roadrunners (ARZ)C/LW/RW291996-02-27CANNo188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Maxim GroshevTuscon Roadrunners (ARZ)RW232001-12-14RUSYes199 Lbs6 ft2NoNoProspectNoNo42024-08-17FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$------867,500$867,500$867,500$------NoNoNo------
Nicolas PetanTuscon Roadrunners (ARZ)C/LW/RW291995-03-22CANNo172 Lbs4 ft11NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nikolas MatinpaloTuscon Roadrunners (ARZ)D261998-10-05FINNo207 Lbs6 ft3NoNoAssign ManuallyNoNo62024-07-05FalseFalsePro & Farm801,667$0$0$No801,667$801,667$801,667$801,667$801,667$----801,667$801,667$801,667$801,667$801,667$----NoNoNoNoNo----
Noah CarrollTuscon Roadrunners (ARZ)D271997-12-02CANYes191 Lbs6 ft1NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Oskar SteenTuscon Roadrunners (ARZ)C261998-03-09SWENo193 Lbs5 ft10NoNoTrade2024-01-18NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Raivis AnsonsTuscon Roadrunners (ARZ)RW232002-01-29LVAYes191 Lbs6 ft1NoNoProspectNoNo22024-08-17FalseFalsePro & Farm844,167$0$0$No844,167$--------844,167$--------No--------
Scott WalfordTuscon Roadrunners (ARZ)D261999-01-12CANYes202 Lbs6 ft1NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Spencer MartinTuscon Roadrunners (ARZ)G291995-06-08CANNo210 Lbs6 ft3NoNoFree AgentNoNo42024-07-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien / Lien NHL
Steven FogartyTuscon Roadrunners (ARZ)C311993-04-19USANo204 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-05FalseFalsePro & Farm775,000$0$0$No---------------------------
Tanner LaczynskiTuscon Roadrunners (ARZ)C271997-06-01USAYes190 Lbs6 ft1NoNoTrade2024-08-08NoNo12024-08-08FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Turner ElsonTuscon Roadrunners (ARZ)LW321992-09-13CANNo191 Lbs6 ft0NoNoTrade2024-08-08NoNo12024-08-08FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.30196 Lbs6 ft12.63809,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim GroshevOskar SteenBrandon Gignac40122
2Austin WagnerGage QuinneyRaivis Ansons30122
3Turner ElsonTanner LaczynskiNicolas Petan20122
4Alex BelzileOskar SteenMatthew 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
1Turner ElsonOskar SteenTanner Laczynski60122
2Austin WagnerGage QuinneyRaivis Ansons40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Gross60122
2Noah CarrollLucas Carlsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SteenTurner Elson60122
2Gage QuinneyAustin Wagner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyBryce Montgomery60122
2Noah CarrollLucas Carlsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Steen60122Madison BoweyNoah Carroll60122
2Gage Quinney40122Jordan GrossLucas Carlsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar SteenTurner Elson60122
2Gage QuinneyAustin Wagner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyJordan Gross60122
2Noah CarrollLucas Carlsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage QuinneyOskar SteenAustin WagnerMadison BoweyBryce Montgomery
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage QuinneyOskar SteenAustin WagnerMadison BoweyBryce Montgomery
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Wagner, Turner Elson, Tanner LaczynskiAustin Wagner, Turner ElsonAustin Wagner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Carroll, Jordan Gross, Nikolas MatinpaloNoah CarrollNoah Carroll, Jordan Gross
Tirs de pénalité
Oskar Steen, Tanner Laczynski, Gage Quinney, Turner Elson, Austin Wagner
Gardien
#1 : Spencer Martin, #2 : Erik Kallgren
Lignes d’attaque personnalisées en prolongation
Oskar Steen, Brandon Gignac, Gage Quinney, Matthew Highmore, Austin Wagner, Turner Elson, Tanner Laczynski, 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
1Manitoba Moose734000001721-4413000001015-53210000076160.42917274400626151239159205165527192241537342.86%70100.00%016636645.36%19039647.98%10722946.72%311164334151314151
2Utica Comets541000001871133000000132112110000055080.80018284601626151154159205165514873761026466.67%30100.00%016636645.36%19039647.98%10722946.72%311164334151314151
3Wilkes-Barre/Scranton Penguins440000001349220000007252200000062481.0001324370062615114115920516551234433793133.33%5260.00%016636645.36%19039647.98%10722946.72%311164334151314151
Total1611500000483216963000003019117520000018135220.688487912701626151534159205165554220913333416850.00%15286.67%016636645.36%19039647.98%10722946.72%311164334151314151
_Since Last GM Reset1611500000483216963000003019117520000018135220.688487912701626151534159205165554220913333416850.00%15286.67%016636645.36%19039647.98%10722946.72%311164334151314151
_Vs Conference1611500000483216963000003019117520000018135220.688487912701626151534159205165554220913333416850.00%15286.67%016636645.36%19039647.98%10722946.72%311164334151314151

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1622L1487912753454220913333401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1611500004832
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96300003019
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
75200001813
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16850.00%15286.67%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
1592051655626151
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
16636645.36%19039647.98%10722946.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
311164334151314151


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
12Utica Comets1Tuscon Roadrunners3WSommaire du match
210Utica Comets1Tuscon Roadrunners5WSommaire du match
318Tuscon Roadrunners4Utica Comets2WSommaire du match
426Tuscon Roadrunners1Utica Comets3LSommaire du match
534Utica Comets0Tuscon Roadrunners5WSommaire du match
858Wilkes-Barre/Scranton Penguins1Tuscon Roadrunners4WSommaire du match
962Wilkes-Barre/Scranton Penguins1Tuscon Roadrunners3WSommaire du match
1066Tuscon Roadrunners4Wilkes-Barre/Scranton Penguins1WSommaire du match
1170Tuscon Roadrunners2Wilkes-Barre/Scranton Penguins1WSommaire du match
1585Manitoba Moose1Tuscon Roadrunners3WSommaire du match
1687Manitoba Moose6Tuscon Roadrunners2LSommaire du match
1789Tuscon Roadrunners2Manitoba Moose1WSommaire du match
1891Tuscon Roadrunners3Manitoba Moose2WXSommaire du match
1993Manitoba Moose5Tuscon Roadrunners3LSommaire du match
2095Tuscon Roadrunners2Manitoba Moose3LXSommaire du match
2197Manitoba Moose3Tuscon Roadrunners2LSommaire du match



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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,429,334$ 2,429,334$ 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$




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