Connexion

Tucson Roadrunners
GP: 72 | W: 33 | L: 29 | OTL: 10 | P: 76
GF: 193 | GA: 203 | PP%: 25.15% | PK%: 66.67%
DG: Anders Sundqvist | Morale : 41 | Moyenne d’équipe : 60
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Centre de jeu
Charlotte Checkers
34-33-5, 73pts
1
FINAL
3 Tucson Roadrunners
33-29-10, 76pts
Team Stats
W1SéquenceL1
18-17-1Fiche domicile16-15-5
16-16-4Fiche domicile17-14-5
6-3-1Derniers 10 matchs5-4-1
2.04Buts par match 2.68
2.38Buts contre par match 2.82
30.00%Pourcentage en avantage numérique25.15%
68.38%Pourcentage en désavantage numérique66.67%
Tucson Roadrunners
33-29-10, 76pts
3
FINAL
5 Hartford Wolf Pack
31-28-13, 75pts
Team Stats
L1SéquenceSOL1
16-15-5Fiche domicile16-10-10
17-14-5Fiche domicile15-18-3
5-4-1Derniers 10 matchs6-1-3
2.68Buts par match 2.26
2.82Buts contre par match 2.51
25.15%Pourcentage en avantage numérique43.15%
66.67%Pourcentage en désavantage numérique66.94%
Meneurs d'équipe
Morgan BarronButs
Morgan Barron
28
Passes
Juraj Slafkovsky
30
Morgan BarronPoints
Morgan Barron
55
Cam DineenPlus/Moins
Cam Dineen
23
Victoires
Vadim Zherenko
33
Pourcentage d’arrêts
Vadim Zherenko
0.908

Statistiques d’équipe
Buts pour
193
2.68 GFG
Tirs pour
2462
34.19 Avg
Pourcentage en avantage numérique
25.2%
41 GF
Début de zone offensive
38.2%
Buts contre
203
2.82 GAA
Tirs contre
2100
29.17 Avg
Pourcentage en désavantage numérique
66.7%%
52 GA
Début de la zone défensive
35.3%
Informations de l'équipe

Directeur généralAnders Sundqvist
EntraîneurAndre Tourigny
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,502
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure22
Limite contact 53 / 60
Espoirs29


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
1Morgan Barron0XXX100.008456867384658063376764777560556473670251925,000$
2Liam O'Brien0X100.009999406787596557336156722561616078640291775,000$
3Michael Carcone0XX100.006262576762848871807069586649496481640271750,000$
4Hudson Fasching0X100.007344946677638263316572647562626566630281750,000$
5Nolan Foote (R)0X100.007874847977757861505563646248486259630232863,333$
6Juraj Slafkovsky (R)0XX100.008160757390625670456562632550506080620193950,000$
7Zack Kassian0XX100.0067667483805472563550566625777957386103223,200,000$
8Karson Kuhlman0XX100.007343957167626360225959712563646076610281850,000$
9Jiri Kulich (R)0XX100.007264906767707263815964626247476174600194950,000$
10Jan Jenik (R)0X100.006265567465646563796359585645456120580231795,000$
11Samuel Poulin (R)0XX100.007975866577606351653662625947465758570222863,333$
12Josh Doan (R)0XXX100.007868996771515056715255615347475751570211750,000$
13Victor Soderstrom (R)0X100.006742778170697869256648812551515948650222864,000$
14Conor Timmins (R)0X100.007443907871674669257052642558595858630251850,000$
15Ronnie Attard (R)0X100.007977827680737856254553644948485780620241884,000$
16Jack Rathbone0X100.006642947472646468255053682548485681600242850,000$
17Cam Dineen0X100.007567936768737857255541644050505372600251750,000$
18Vladislav Kolyachonok (R)0X100.007269768072778548254239583850505062580222790,000$
Rayé
1William Lockwood0X100.009345996763577457255855732545456420600251750,000$
2Clark Bishop0X100.007372766772677057714957655458586020590271755,000$
3T.J. Tynan0X100.006558826258798463797348604645456020580311787,500$
4Nolan Stevens0XX100.007570886570585762785961645844446319580271775,000$
5Jackson Cates0XX100.007670906770717654694855625345455929570261785,000$
6Ben McCartney (R)0X100.006567607667656855504956575344445819560221813,333$
7Ryan McGregor0XX100.007164886564575854684558605544445819550241803,333$
8Kyle Capobianco0X100.007343877372595366253956672554546119590262762,500$
9Ty Emberson (R)0X100.007772876372748051254642624044445620580231853,333$
10Cameron Crotty0X100.007570856370748246253739603744445219550241925,000$
MOYENNE D’ÉQUIPE100.00746282717266706046555665455151594960
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
1Vadim Zherenko (R)0100.00615063666761516159563047475380580223900,000$
2Malcolm Subban0100.00524253815554505655543055555375550302850,000$
Rayé
1Ivan Prosvetov (R)0100.00515771665053505651513045455220520241750,000$
MOYENNE D’ÉQUIPE100.0055506271575650585554304949535855
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andre Tourigny60706055995550CAN501500,000$


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
1Dylan GuentherArizona CoyotesRW7225345991915105733181041867.86%31130918.19791617119000002228.13%967122000.9002120736
2Juraj SlafkovskyTucson Roadrunners (ARZ)LW/RW72253055813575156752406815210.42%28126417.5661218211200001106133.72%865917010.8704267533
3Morgan BarronTucson Roadrunners (ARZ)C/LW/RW71282755-56735156932386213211.76%35117516.56891715122000091740.88%9814222200.9403142653
4Hudson FaschingTucson Roadrunners (ARZ)RW72132336-1022208868213741116.10%22115416.04381115117000012028.57%565320000.6211121033
5Conor TimminsTucson Roadrunners (ARZ)D7253035-7764010412514552523.45%84181625.234610161280113104200%05059000.3900152022
6Karson KuhlmanTucson Roadrunners (ARZ)C/RW71181331-120207299140369012.86%21113215.95459611800041014130.31%7492624000.5500112213
7Michael CarconeTucson Roadrunners (ARZ)LW/RW71141731-197751023818871957.45%2188912.5300003000002044.00%254611100.7027537112
8Victor SoderstromTucson Roadrunners (ARZ)D7132528-2398409110814253672.11%104176724.892574113000024100%04666000.3200151011
9Jack RathboneTucson Roadrunners (ARZ)D725222719432544738438295.95%46130018.06448913000009300%02155000.4200410201
10Zack KassianTucson Roadrunners (ARZ)LW/RW6210142465440765311628688.62%1379912.90011081233691040.07%3024516000.6000170101
11Jiri KulichTucson Roadrunners (ARZ)C/LW729142379385929210927598.26%25117116.27000060002371057.94%12601517000.3907665010
12Liam O'BrienTucson Roadrunners (ARZ)LW728132183332051417012239756.56%2296213.370000111014833028.81%592120000.440018914011
13Nolan FooteTucson Roadrunners (ARZ)LW726121821477596588334667.23%22100013.900000143146960048.08%521822000.3600654010
14Josh DoanTucson Roadrunners (ARZ)C/LW/RW6771118-96145100507318429.59%1897814.612355106000002051.22%41927000.3700144012
15Cam DineenTucson Roadrunners (ARZ)D721151623312568684914202.04%60125817.48000030110114000%0735000.2500221020
16Ronnie AttardTucson Roadrunners (ARZ)D7239121014411069696225144.84%56127317.6912311090001102000%0639100.19006313000
17Samuel PoulinTucson Roadrunners (ARZ)LW/RW541021228870512661132916.39%1059310.9800001000001056.25%16228000.4000626002
18Vladislav KolyachonokTucson Roadrunners (ARZ)D71088-1422011073593817240%53121217.08011116011191000%0720000.1300868001
19Jackson CatesTucson Roadrunners (ARZ)C/LW271341454530313114203.23%332612.08000000001360047.62%168105000.2500414000
20Ben McCartneyTucson Roadrunners (ARZ)LW1000000000000%033.630000000000000%00000000000000
21Jan JenikTucson Roadrunners (ARZ)C1000-100112120%02121.43000010000000100.00%81000000000000
22Kyle CapobiancoTucson Roadrunners (ARZ)D1000000010000%01717.400000000000000%00100000000000
23Ryan McGregorTucson Roadrunners (ARZ)C/LW1000000100000%055.420000000000000%00000000000000
24Nolan StevensTucson Roadrunners (ARZ)C/LW5000-11010426320%25310.610000000001000%11200000101000
25William LockwoodTucson Roadrunners (ARZ)RW1000-200311100%01616.720000000000000%00000000000000
26Cameron CrottyTucson Roadrunners (ARZ)D1000000101000%11717.670000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1296191322513211803116517241333246279213357.76%6772152416.6141651061101254561126895311144.15%3900576508410.48324767482242531
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
1Vadim ZherenkoTucson Roadrunners (ARZ)713328100.9082.6742302218820391166640.68025710673
2Malcolm SubbanTucson Roadrunners (ARZ)30100.8952.7513100657361000171000
Statistiques d’équipe totales ou en moyenne743329100.9072.674362221942096120274257271673


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Ben McCartneyTucson Roadrunners (ARZ)LW222001-12-31 08:39:06Yes182 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm813,333$0$0$No------------------Lien / Lien NHL
Cam DineenTucson Roadrunners (ARZ)D251998-12-31No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Cameron CrottyTucson Roadrunners (ARZ)D241999-12-31No182 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Clark BishopTucson Roadrunners (ARZ)C271996-12-31No199 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm755,000$0$0$No------------------Lien / Lien NHL
Conor TimminsTucson Roadrunners (ARZ)D251998-12-31Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------Lien
Hudson FaschingTucson Roadrunners (ARZ)RW281995-12-31No209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Ivan ProsvetovTucson Roadrunners (ARZ)G241999-12-31Yes161 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jack RathboneTucson Roadrunners (ARZ)D241999-12-31No190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------No--------Lien / Lien NHL
Jackson CatesTucson Roadrunners (ARZ)C/LW261997-12-31No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm785,000$0$0$No------------------Lien / Lien NHL
Jan JenikTucson Roadrunners (ARZ)C232000-12-31Yes171 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm795,000$0$0$No------------------Lien / Lien NHL
Jiri KulichTucson Roadrunners (ARZ)C/LW192004-12-31Yes178 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------NoNoNo------
Josh DoanTucson Roadrunners (ARZ)C/LW/RW212002-12-31Yes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Juraj SlafkovskyTucson Roadrunners (ARZ)LW/RW192004-12-31Yes238 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Karson KuhlmanTucson Roadrunners (ARZ)C/RW281995-12-31No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------Lien / Lien NHL
Kyle CapobiancoTucson Roadrunners (ARZ)D261997-12-31No196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Liam O'BrienTucson Roadrunners (ARZ)LW291994-12-31No215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien
Malcolm SubbanTucson Roadrunners (ARZ)G301993-12-31No215 Lbs6 ft2NoNoN/ANoNo22024-04-05FalseFalsePro & Farm850,000$0$0$No775,000$--------No--------Lien / Lien NHL
Michael CarconeTucson Roadrunners (ARZ)LW/RW271996-12-31No170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Morgan BarronTucson Roadrunners (ARZ)C/LW/RW251998-12-31No220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Nolan FooteTucson Roadrunners (ARZ)LW232000-12-31Yes195 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------No--------Lien / Lien NHL
Nolan StevensTucson Roadrunners (ARZ)C/LW271996-12-31No183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Ronnie AttardTucson Roadrunners (ARZ)D241999-12-31Yes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm884,000$0$0$No------------------Lien
Ryan McGregorTucson Roadrunners (ARZ)C/LW241999-12-31No170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm803,333$0$0$No------------------Lien / Lien NHL
Samuel PoulinTucson Roadrunners (ARZ)LW/RW222001-12-31Yes208 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------No--------Lien / Lien NHL
T.J. TynanTucson Roadrunners (ARZ)C311992-12-31No165 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm787,500$0$0$No------------------Lien
Ty EmbersonTucson Roadrunners (ARZ)D232000-12-31Yes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm853,333$0$0$No------------------Lien / Lien NHL
Vadim ZherenkoTucson Roadrunners (ARZ)G222001-12-31Yes172 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Victor SoderstromTucson Roadrunners (ARZ)D222001-12-31Yes182 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm864,000$0$0$No864,000$--------No--------Lien / Lien NHL
Vladislav KolyachonokTucson Roadrunners (ARZ)D222001-12-31Yes189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm790,000$0$0$No790,000$--------No--------Lien / Lien NHL
William LockwoodTucson Roadrunners (ARZ)RW251998-12-31No172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Zack Kassian (contrat à 1 volet)Tucson Roadrunners (ARZ)LW/RW321991-12-31No211 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm3,200,000$2,050,000$53,947$No3,200,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3124.81190 Lbs6 ft11.48900,634$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyJiri KulichSamuel Poulin30122
2Josh DoanMorgan BarronHudson Fasching27122
3Michael CarconeKarson KuhlmanNolan Foote23122
4Jan JenikZack KassianLiam O'Brien20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor SoderstromVladislav Kolyachonok30122
2Ronnie AttardConor Timmins27122
3Jack RathboneCam Dineen23122
4Conor TimminsVictor Soderstrom20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh DoanMorgan BarronJuraj Slafkovsky50122
2Hudson FaschingKarson KuhlmanJan Jenik50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsJack Rathbone50122
2Ronnie AttardVictor Soderstrom50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Karson KuhlmanLiam O'Brien50122
2Zack KassianNolan Foote50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsVladislav Kolyachonok50122
2Ronnie AttardCam Dineen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Barron50122Cam DineenVladislav Kolyachonok50122
2Michael Carcone50122Ronnie AttardVictor Soderstrom50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam O'BrienMichael Carcone50122
2Nolan FooteZack Kassian50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathboneVladislav Kolyachonok50122
2Ronnie AttardConor Timmins50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyMorgan BarronJan JenikConor TimminsVictor Soderstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeMorgan BarronKarson KuhlmanVictor SoderstromConor Timmins
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jan Jenik, Juraj Slafkovsky, Jiri KulichJan Jenik, Juraj SlafkovskyJiri Kulich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Kolyachonok, Victor Soderstrom, Ronnie AttardVladislav KolyachonokCam Dineen, Ronnie Attard
Tirs de pénalité
Jiri Kulich, Michael Carcone, Juraj Slafkovsky, Morgan Barron, Jan Jenik
Gardien
#1 : Vadim Zherenko, #2 : Malcolm Subban


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford Canucks2010010069-31000010045-11010000024-210.250610161045826256577489877638601862515120.00%6433.33%1626147942.33%617136845.10%479102546.73%158087213886811399693
2Bakersfield Condors3020010048-42020000025-31000010023-110.1674711104582625907748987763874283180400.00%8362.50%0626147942.33%617136845.10%479102546.73%158087213886811399693
3Belleville Senators31000110981100000104312100010055050.8339152400458262510177489877638983968765240.00%4250.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
4Bridgeport Islanders2010000147-31000000123-11010000024-210.2504812004582625757748987763868173744700.00%6266.67%0626147942.33%617136845.10%479102546.73%158087213886811399693
5Calgary Wranglers330000001165220000008441100000032161.0001119300045826259977489877638822780845120.00%5340.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
6Charlotte Checkers21100000660110000003121010000035-220.50061117104582625717748987763854263734300.00%6266.67%0626147942.33%617136845.10%479102546.73%158087213886811399693
7Chicago Wolves210000015231000000112-11100000040430.7505813014582625797748987763831852525120.00%10100.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
8Cleveland Monsters201010004401010000023-11000100021120.5004610004582625697748987763863261440300.00%2150.00%1626147942.33%617136845.10%479102546.73%158087213886811399693
9Coachella Valley Firebirds30300000510-51010000024-22020000036-300.000591400458262593774898776386626160847114.29%10190.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
10Colorado Eagles320000011183110000005322100000165150.83311213200458262511177489877638801854758337.50%7271.43%0626147942.33%617136845.10%479102546.73%158087213886811399693
11Grand Rapids Griffins321000009812110000057-21100000041340.6679152400458262511477489877638582552664125.00%110.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
12Hartford Wolf Pack2020000048-41010000013-21010000035-200.0004590045826257177489877638542222435240.00%6433.33%0626147942.33%617136845.10%479102546.73%158087213886811399693
13Henderson Silver Knights3120000079-2211000005411010000025-320.333711180045826251147748987763895277160700.00%8625.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
14Hershey Bears20100100710-31010000035-21000010045-110.250711181045826256277489877638832044503266.67%7185.71%0626147942.33%617136845.10%479102546.73%158087213886811399693
15Iowa Wild21100000660110000003121010000035-220.500611170045826255977489877638742651325120.00%30100.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
16Laval Rocket21100000440110000003211010000012-120.50048120045826257377489877638633546456116.67%3166.67%0626147942.33%617136845.10%479102546.73%158087213886811399693
17Lehigh Valley Phantoms2110000023-11010000013-21100000010120.5002460145826255877489877638401310251100.00%6183.33%0626147942.33%617136845.10%479102546.73%158087213886811399693
18Manitoba Moose21000100440110000002111000010023-130.750461000458262565774898776386013105573133.33%50100.00%1626147942.33%617136845.10%479102546.73%158087213886811399693
19Milwaukee Admirals211000007521010000034-11100000041320.50079160045826256477489877638582076576583.33%4175.00%1626147942.33%617136845.10%479102546.73%158087213886811399693
20Ontario Reign3120000059-41010000035-22110000024-220.333591400458262510277489877638992624737228.57%2150.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
21Providence Bruins2020000035-21010000012-11010000023-100.000358004582625707748987763867172438400.00%20100.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
22Rochester Americans2110000046-21010000015-41100000031220.50046100045826257677489877638712661447228.57%3166.67%0626147942.33%617136845.10%479102546.73%158087213886811399693
23Rockford IceHogs2010000147-31000000134-11010000013-210.25046100045826256977489877638651735436233.33%5260.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
24San Diego Gulls3110100089-12010100047-31100000042240.6678152300458262598774898776389720140679222.22%10550.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
25San Jose Barracuda3210000079-2110000003212110000047-340.6677132000458262593774898776381052492706116.67%11281.82%0626147942.33%617136845.10%479102546.73%158087213886811399693
26Springfield Thunderbirds22000000927110000005141100000041341.000915240045826258077489877638491674576350.00%2150.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
27Syracuse Crunch211000005321010000012-11100000041320.50059140045826255777489877638512047414125.00%6183.33%0626147942.33%617136845.10%479102546.73%158087213886811399693
28Texas Stars210000017611000000123-11100000053230.750710170045826257377489877638561536549444.44%3166.67%0626147942.33%617136845.10%479102546.73%158087213886811399693
29Toronto Marlies2010001079-2100000104311010000036-320.50071017004582625767748987763871203046200.00%50100.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
30Utica Comets220000001284110000004131100000087141.0001219310045826257177489877638572015536116.67%5180.00%1626147942.33%617136845.10%479102546.73%158087213886811399693
31Wilkes-Barre Scranton Penguins22000000752110000002111100000054141.000711180045826256477489877638512263575120.00%4250.00%0626147942.33%617136845.10%479102546.73%158087213886811399693
Total72292902525193203-10361315011249299-736161401401101104-3760.5281933225154245826252462774898776382100677180517241634125.15%1565266.67%5626147942.33%617136845.10%479102546.73%158087213886811399693
_Since Last GM Reset72292902525193203-10361315011249299-736161401401101104-3760.5281933225154245826252462774898776382100677180517241634125.15%1565266.67%5626147942.33%617136845.10%479102546.73%158087213886811399693
_Vs Conference39171501204100106-62088010035156-51997002014950-1420.53810016926911458262513237748987763811003201059954912527.47%832866.27%2626147942.33%617136845.10%479102546.73%158087213886811399693
_Vs Division151080110148381075501000231768530010125214240.800487812600458262552177489877638442125431375431944.19%29775.86%2626147942.33%617136845.10%479102546.73%158087213886811399693

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7276L1193322515246221006771805172442
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7229292525193203
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36131511249299
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3616141401101104
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1634125.15%1565266.67%5
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
774898776384582625
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
626147942.33%617136845.10%479102546.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
158087213886811399693


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
14Tucson Roadrunners0Ontario Reign3LSommaire du match
321San Diego Gulls1Tucson Roadrunners2WXSommaire du match
537Tucson Roadrunners1Coachella Valley Firebirds3LSommaire du match
649Tucson Roadrunners3Colorado Eagles1WSommaire du match
861Grand Rapids Griffins6Tucson Roadrunners2LSommaire du match
1186Henderson Silver Knights1Tucson Roadrunners4WSommaire du match
1292Tucson Roadrunners1Belleville Senators2LXSommaire du match
16120Calgary Wranglers2Tucson Roadrunners4WSommaire du match
18140Bakersfield Condors3Tucson Roadrunners1LSommaire du match
20155Tucson Roadrunners2San Jose Barracuda1WSommaire du match
22168Tucson Roadrunners3Calgary Wranglers2WSommaire du match
24183Lehigh Valley Phantoms3Tucson Roadrunners1LSommaire du match
26201Tucson Roadrunners1Lehigh Valley Phantoms0WSommaire du match
28217Coachella Valley Firebirds4Tucson Roadrunners2LSommaire du match
29226Tucson Roadrunners8Utica Comets7WSommaire du match
32249Texas Stars3Tucson Roadrunners2LXXSommaire du match
34263Tucson Roadrunners2Cleveland Monsters1WXSommaire du match
35273Tucson Roadrunners3Charlotte Checkers5LSommaire du match
37286Manitoba Moose1Tucson Roadrunners2WSommaire du match
40310Providence Bruins2Tucson Roadrunners1LSommaire du match
42326Tucson Roadrunners3Toronto Marlies6LSommaire du match
44344Iowa Wild1Tucson Roadrunners3WSommaire du match
46361Tucson Roadrunners4Grand Rapids Griffins1WSommaire du match
48375Belleville Senators3Tucson Roadrunners4WXXSommaire du match
49387Tucson Roadrunners5Texas Stars3WSommaire du match
51403Abbotsford Canucks5Tucson Roadrunners4LXSommaire du match
53419Tucson Roadrunners4Milwaukee Admirals1WSommaire du match
55435San Diego Gulls6Tucson Roadrunners2LSommaire du match
57454Tucson Roadrunners2Ontario Reign1WSommaire du match
58462Tucson Roadrunners2San Jose Barracuda6LSommaire du match
60476Wilkes-Barre Scranton Penguins1Tucson Roadrunners2WSommaire du match
63498Tucson Roadrunners2Manitoba Moose3LXSommaire du match
64508Hershey Bears5Tucson Roadrunners3LSommaire du match
67528Syracuse Crunch2Tucson Roadrunners1LSommaire du match
69545Tucson Roadrunners2Henderson Silver Knights5LSommaire du match
71557Tucson Roadrunners1Rockford IceHogs3LSommaire du match
73572Ontario Reign5Tucson Roadrunners3LSommaire du match
75590Tucson Roadrunners3Colorado Eagles4LXXSommaire du match
77604Utica Comets1Tucson Roadrunners4WSommaire du match
79620Tucson Roadrunners4Syracuse Crunch1WSommaire du match
80637Milwaukee Admirals4Tucson Roadrunners3LSommaire du match
82653Tucson Roadrunners3Rochester Americans1WSommaire du match
84667Chicago Wolves2Tucson Roadrunners1LXXSommaire du match
86686Tucson Roadrunners5Wilkes-Barre Scranton Penguins4WSommaire du match
88701Rockford IceHogs4Tucson Roadrunners3LXXSommaire du match
90719Tucson Roadrunners2Providence Bruins3LSommaire du match
91732Springfield Thunderbirds1Tucson Roadrunners5WSommaire du match
93747Tucson Roadrunners4Springfield Thunderbirds1WSommaire du match
95764Colorado Eagles3Tucson Roadrunners5WSommaire du match
96775Tucson Roadrunners3Iowa Wild5LSommaire du match
99796Henderson Silver Knights3Tucson Roadrunners1LSommaire du match
101811Tucson Roadrunners2Bridgeport Islanders4LSommaire du match
102825Tucson Roadrunners2Abbotsford Canucks4LSommaire du match
103832San Jose Barracuda2Tucson Roadrunners3WSommaire du match
106861Calgary Wranglers2Tucson Roadrunners4WSommaire du match
108876Tucson Roadrunners2Bakersfield Condors3LXSommaire du match
110888Hartford Wolf Pack3Tucson Roadrunners1LSommaire du match
112907Tucson Roadrunners1Laval Rocket2LSommaire du match
113919Tucson Roadrunners4Belleville Senators3WSommaire du match
114926Laval Rocket2Tucson Roadrunners3WSommaire du match
118955Cleveland Monsters3Tucson Roadrunners2LSommaire du match
119965Tucson Roadrunners4Hershey Bears5LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122985Tucson Roadrunners4San Diego Gulls2WSommaire du match
123993Rochester Americans5Tucson Roadrunners1LSommaire du match
1261018Bridgeport Islanders3Tucson Roadrunners2LXXSommaire du match
1281043Toronto Marlies3Tucson Roadrunners4WXXSommaire du match
1301057Tucson Roadrunners2Coachella Valley Firebirds3LSommaire du match
1321076Grand Rapids Griffins1Tucson Roadrunners3WSommaire du match
1341090Tucson Roadrunners4Chicago Wolves0WSommaire du match
1371110Bakersfield Condors2Tucson Roadrunners1LSommaire du match
1401131Charlotte Checkers1Tucson Roadrunners3WSommaire du match
1411134Tucson Roadrunners3Hartford Wolf Pack5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance55,89934,160
Assistance PCT77.64%94.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2502 - 83.39% 96,615$3,478,150$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,060,402$ 2,471,965$ 2,464,465$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,560,442$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 20,496$ 0$




Tucson Roadrunners Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Tucson Roadrunners Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Tucson Roadrunners Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Tucson Roadrunners Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Tucson Roadrunners Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA