Tucson Roadrunners
GP: 15 | W: 6 | L: 7 | OTL: 2 | P: 14
GF: 46 | GA: 50 | PP%: 26.32% | PK%: 81.43%
DG: Markus | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #250 vs Hershey Bears
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Centre de jeu
Bridgeport Islanders
8-5-3, 19pts
2
FINAL
1 Tucson Roadrunners
6-7-2, 14pts
Team Stats
SOL1SéquenceW1
5-2-1Fiche domicile3-4-1
3-3-2Fiche domicile3-3-1
4-4-2Derniers 10 matchs4-4-2
2.69Buts par match 3.07
2.75Buts contre par match 3.33
16.98%Pourcentage en avantage numérique26.32%
90.24%Pourcentage en désavantage numérique81.43%
Tucson Roadrunners
6-7-2, 14pts
5
FINAL
3 Wilkes-Barre/Scranton Penguins
7-7-1, 15pts
Team Stats
W1SéquenceL1
3-4-1Fiche domicile4-3-1
3-3-1Fiche domicile3-4-0
4-4-2Derniers 10 matchs6-4-0
3.07Buts par match 3.00
3.33Buts contre par match 3.47
26.32%Pourcentage en avantage numérique18.52%
81.43%Pourcentage en désavantage numérique76.92%
Tucson Roadrunners
6-7-2, 14pts
2025-02-07
Hershey Bears
9-5-1, 19pts
Statistiques d’équipe
W1SéquenceW2
3-4-1Fiche domicile4-3-0
3-3-1Fiche visiteur5-2-1
4-4-210 derniers matchs5-4-1
3.07Buts par match 4.20
3.33Buts contre par match 4.20
26.32%Pourcentage en avantage numérique25.00%
81.43%Pourcentage en désavantage numérique89.36%
Providence Bruins
8-8-0, 16pts
2025-02-08
Tucson Roadrunners
6-7-2, 14pts
Statistiques d’équipe
W1SéquenceW1
4-3-0Fiche domicile3-4-1
4-5-0Fiche visiteur3-3-1
5-5-010 derniers matchs4-4-2
3.13Buts par match 3.07
3.25Buts contre par match 3.07
9.09%Pourcentage en avantage numérique26.32%
72.88%Pourcentage en désavantage numérique81.43%
Tucson Roadrunners
6-7-2, 14pts
2025-02-10
Chicago Wolves
8-8-0, 16pts
Statistiques d’équipe
W1SéquenceL2
3-4-1Fiche domicile5-3-0
3-3-1Fiche visiteur3-5-0
4-4-210 derniers matchs6-4-0
3.07Buts par match 3.44
3.33Buts contre par match 3.44
26.32%Pourcentage en avantage numérique18.52%
81.43%Pourcentage en désavantage numérique86.54%
Meneurs d'équipe
Buts
Nils Aman
6
Passes
Danny Zhilkin
12
Points
Danny Zhilkin
16
Plus/Moins
Ryan Schmelzer
9
Victoires
Brian Elliott
6
Pourcentage d’arrêts
Brian Elliott
0.911

Statistiques d’équipe
Buts pour
46
3.07 GFG
Tirs pour
391
26.07 Avg
Pourcentage en avantage numérique
26.3%
10 GF
Début de zone offensive
36.9%
Buts contre
50
3.33 GAA
Tirs contre
552
36.80 Avg
Pourcentage en désavantage numérique
81.4%%
13 GA
Début de la zone défensive
44.0%
Informations de l'équipe

Directeur généralMarkus
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 55
Espoirs10


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
1Nils Aman0X100.006742947667608963556160712558587450620246900,000$
2Danny Zhilkin (R)0X100.005450837371769569685670547455558950620212925,000$
3Steven Fogarty0XX100.007777806579758361755663665949493750610311750,000$
4Ryan Schmelzer0X100.007370846470788563796261645848483650610311750,000$
5Martin Kaut0X100.006542978065567666346161682552527350610251750,000$
6Marian Studenic0XX100.007061927262778361506058635650516350600261750,000$
7Brendan Lemieux0XX100.008999477380545961345558587570715150600281750,000$
8Michael Mersch0X100.008481836378767861505959665646462350600321750,000$
9Givani Smith0X100.009199677179526462365856632562636350590261800,000$
10Greg McKegg34XX100.006867766270718057715748664667672350590321700,000$
11Adam Brooks0X100.006861926562646659765461635952535150580281700,000$
12Martin Chromiak (R)0X100.006965876168707858505358625546467850570226875,000$
13Adam Boqvist0X100.0060419983647560802566556625656573506502412,600,000$
14Lucas Carlsson0X100.007070716570717461255155635251516450600271750,000$
15Radim Simek0X100.007370836572616456254845673967672150600321750,000$
16Ashton Sautner0X100.007674796572748247253541643959593750590301750,000$
17Andrej Sustr0X100.008284766784687348254041653949492350590341750,000$
18Mikko Kokkonen (R)0X100.007672866672636748254041613946467850560246750,000$
Rayé
1Anton Blidh0X100.006869716973708151504648644664645250570291775,000$
2Dmitri Ovchinnikov (R)0X100.007060936160545358734764616146467850550221850,000$
3Morgan Adams-Moisan0X100.006579326279515444503844554247476250490271700,000$
4Cedric Lacroix0X100.006168456168515248504644544246463850490301700,000$
5Garrett Mitchell0X100.006470496370495144503844544246462350480331700,000$
6Sean Josling0XX100.005465286365495144553844494245457450470251700,000$
7Jimmy Oligny0X100.006569576369454547253939563751513650510311700,000$
8Adam Brubacher0X100.007676775876383745253539603747475250510291700,000$
9Chris Jandric0X100.006566646366485041252839543748486150500261700,000$
MOYENNE D’ÉQUIPE100.00706874677162685646495261465353535057
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
1Brian Elliott0100.00615255806556746265617978805506403911,000,000$
2Ben Kraws0100.00594761846770636872663047477250630241850,000$
Rayé
1Malcolm Subban0100.00515265815555545955513060603550570311700,000$
MOYENNE D’ÉQUIPE100.0057506082626064636459466262375061
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
1Danny ZhilkinTucson Roadrunners (UTA)C15412168202445214527.69%632021.390226320000410148.82%34000001.0000000120
2Nils AmanTucson Roadrunners (UTA)C156915-240104445183513.33%334422.941346270000601038.72%48300000.8700000011
3Martin KautTucson Roadrunners (UTA)RW1521214320527396285.13%124216.18134927000001031.25%1600001.1500000001
4Adam BoqvistTucson Roadrunners (UTA)D154812-90014262261718.18%2636524.372241332000065100%000000.6600000200
5Brendan LemieuxTucson Roadrunners (UTA)LW/RW156612620063344181614.63%427718.50101828000020035.29%6800000.8601000102
6Ryan SchmelzerTucson Roadrunners (UTA)C15661292032933142218.18%531921.302136320000420146.15%2600000.7500000001
7Lucas CarlssonTucson Roadrunners (UTA)D15459-132031181771723.53%3333622.43112525000044000%000000.5300000012
8Steven FogartyTucson Roadrunners (UTA)C/RW15538340251528141817.86%121314.2400001000010063.16%1900000.7500000010
9Givani SmithTucson Roadrunners (UTA)RW15167-131604922277273.70%531420.981344260000490036.00%2500000.4411000000
10Andrej SustrTucson Roadrunners (UTA)D1533642804412123425.00%1626017.3411242600005000%000000.4600000001
11Mikko KokkonenTucson Roadrunners (UTA)D1513438034573414.29%1525016.6801107000025000%000000.3200000000
12Ashton SautnerTucson Roadrunners (UTA)D150444802166360%2128719.1400001000151000%000000.2800000000
13Greg McKeggTucson Roadrunners (UTA)C/LW15112-720314267123.85%220313.5700000000001037.50%1600000.2000000000
14Radim SimekTucson Roadrunners (UTA)D15022-418031134440%1930220.13000433000052000%000000.1300000000
15Michael MerschTucson Roadrunners (UTA)LW15112-10601021238224.35%320113.4000000000001042.68%24600000.2011000000
16Marian StudenicTucson Roadrunners (UTA)LW/RW151011001071414.29%0533.56000040000300066.67%300000.3700000000
17Martin ChromiakTucson Roadrunners (UTA)RW15000000000000%030.220000200000000%00000000000000
18Adam BrooksTucson Roadrunners (UTA)C15000-300222160%0845.61000070000200064.10%390000000000000
Statistiques d’équipe totales ou en moyenne2704581126-8152034833239112429411.51%160437916.221017276531700014945243.17%128100000.5823000458
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
1Brian ElliottTucson Roadrunners (UTA)156720.9113.2690100495510110.6673150110
Statistiques d’équipe totales ou en moyenne156720.9113.2690100495510113150110


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
Adam BoqvistTucson Roadrunners (UTA)D242000-08-14SWENo181 Lbs5 ft11NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm2,600,000$0$0$No---------------------------Lien / Lien NHL
Adam BrooksTucson Roadrunners (UTA)C281996-05-06MANNo176 Lbs5 ft10NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Adam BrubacherTucson Roadrunners (UTA)D291995-12-13ONTNo204 Lbs6 ft3NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Andrej SustrTucson Roadrunners (UTA)D341990-11-29CZENo218 Lbs6 ft7NoNoAssign Manually2024-10-04NoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Anton BlidhTucson Roadrunners (UTA)RW291995-03-13SWENo202 Lbs6 ft0NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Ashton SautnerTucson Roadrunners (UTA)D301994-05-27MANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ben KrawsTucson Roadrunners (UTA)G242000-08-02USANo196 Lbs6 ft5NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Brendan LemieuxTucson Roadrunners (UTA)LW/RW281996-03-15USANo214 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Brian ElliottTucson Roadrunners (UTA)G391985-04-09ONTNo209 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-14FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Cedric LacroixTucson Roadrunners (UTA)LW301994-11-03QUENo182 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Chris JandricTucson Roadrunners (UTA)D261998-10-03BCNo182 Lbs5 ft11NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Danny ZhilkinTucson Roadrunners (UTA)C212003-12-19RUSYes200 Lbs6 ft1NoNoTrade2025-01-05NoNo22024-08-14FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Dmitri OvchinnikovTucson Roadrunners (UTA)C222002-08-19RUSYes168 Lbs5 ft10NoNoAssign ManuallyNoNo12025-01-10FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Garrett MitchellTucson Roadrunners (UTA)RW331991-09-02SKWNo200 Lbs5 ft11NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Givani SmithTucson Roadrunners (UTA)RW261998-02-27ONTNo211 Lbs6 ft2NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Greg McKeggTucson Roadrunners (UTA)C/LW321992-06-17ONTNo192 Lbs6 ft0NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jimmy OlignyTucson Roadrunners (UTA)D311993-04-30QUENo196 Lbs5 ft10NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Lucas CarlssonTucson Roadrunners (UTA)D271997-07-05SWENo193 Lbs6 ft0NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Malcolm SubbanTucson Roadrunners (UTA)G311993-12-21ONTNo216 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Marian StudenicTucson Roadrunners (UTA)LW/RW261998-10-28SVKNo165 Lbs6 ft0NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Martin ChromiakTucson Roadrunners (UTA)RW222002-08-20SVKYes190 Lbs6 ft0NoNoAssign ManuallyNoNo62024-12-29FalseFalsePro & Farm875,000$0$0$No875,000$875,000$875,000$875,000$875,000$----875,000$875,000$875,000$875,000$875,000$----NoNoNoNoNo----Lien
Martin KautTucson Roadrunners (UTA)RW251999-10-02CZENo175 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Michael MerschTucson Roadrunners (UTA)LW321992-10-02USANo211 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Mikko KokkonenTucson Roadrunners (UTA)D242001-01-18FINYes201 Lbs5 ft11NoNoAssign ManuallyNoNo62024-12-29FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$----750,000$750,000$750,000$750,000$750,000$----NoNoNoNoNo----Lien
Morgan Adams-MoisanTucson Roadrunners (UTA)RW271997-02-06QUENo219 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Nils AmanTucson Roadrunners (UTA)C242000-07-02SWENo181 Lbs6 ft2NoNoAssign ManuallyNoNo62024-12-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----Lien
Radim SimekTucson Roadrunners (UTA)D321992-09-20CZENo201 Lbs5 ft11NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Ryan SchmelzerTucson Roadrunners (UTA)C311993-07-28USANo187 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Sean JoslingTucson Roadrunners (UTA)C/RW251999-03-22ONTNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12025-01-19FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Steven FogartyTucson Roadrunners (UTA)C/RW311993-04-19USANo211 Lbs6 ft3NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3028.10195 Lbs6 ft11.53827,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin KautNils AmanSteven Fogarty30122
2Ryan SchmelzerDanny ZhilkinBrendan Lemieux30122
3Givani SmithMichael MerschGreg McKegg25122
4Adam BrooksNils AmanGivani Smith15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekAdam Boqvist30122
2Lucas CarlssonMikko Kokkonen30122
3Andrej SustrAshton Sautner25122
4Adam BoqvistLucas Carlsson15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin KautNils AmanGivani Smith60122
2Danny ZhilkinBrendan LemieuxRyan Schmelzer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekAdam Boqvist60122
2Lucas CarlssonAndrej Sustr40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanGivani Smith60122
2Danny ZhilkinRyan Schmelzer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekAdam Boqvist60122
2Ashton SautnerLucas Carlsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman60122Radim SimekAdam Boqvist60122
2Givani Smith40122Andrej SustrLucas Carlsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanGivani Smith60122
2Danny ZhilkinMartin Kaut40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lucas CarlssonAdam Boqvist60122
2Andrej SustrRadim Simek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danny ZhilkinNils AmanMartin KautRadim SimekAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danny ZhilkinNils AmanMartin KautRadim SimekAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nils Aman, Givani Smith, Brendan LemieuxNils Aman, Givani SmithNils Aman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Boqvist, Ashton Sautner, Radim SimekAdam BoqvistLucas Carlsson, Adam Boqvist
Tirs de pénalité
Givani Smith, Brendan Lemieux, Michael Mersch, Nils Aman, Greg McKegg
Gardien
#1 : Brian Elliott, #2 : Ben Kraws
Lignes d’attaque personnalisées en prolongation
Brendan Lemieux, Michael Mersch, Greg McKegg, Nils Aman, Adam Brooks, Givani Smith, Givani Smith, Martin Kaut, Steven Fogarty, Danny Zhilkin, Ryan Schmelzer
Lignes de défense personnalisées en prolongation
Ashton Sautner, Adam Boqvist, Radim Simek, Lucas Carlsson, Andrej Sustr


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
1Bridgeport Islanders30200100611-52010010035-21010000036-310.1676121800211112379149126114592252866400.00%13284.62%021547045.74%23856042.50%10024241.32%31320539711419491
2Laval Rocket10001000541100010005410000000000021.0005914002111123241491261145461114285240.00%6183.33%021547045.74%23856042.50%10024241.32%31320539711419491
3Ontario Reign211000007611010000034-11100000042220.50071219002111123611491261145662412465120.00%6266.67%021547045.74%23856042.50%10024241.32%31320539711419491
4Providence Bruins2020000036-31010000013-21010000023-100.000358102111123471491261145842628446116.67%12191.67%021547045.74%23856042.50%10024241.32%31320539711419491
5Rockford IceHogs10000010321100000103210000000000021.000347002111123291491261145236821100.00%40100.00%021547045.74%23856042.50%10024241.32%31320539711419491
6San Jose Barracuda30200100814-61010000036-32010010058-310.1678142200211112370149126114513837285810440.00%14471.43%021547045.74%23856042.50%10024241.32%31320539711419491
7Texas Stars11000000532110000005320000000000021.000510150021111233414912611452486223133.33%20100.00%021547045.74%23856042.50%10024241.32%31320539711419491
8Toronto Marlies11000000413000000000001100000041321.000471100211112316149126114538111826100.00%8187.50%021547045.74%23856042.50%10024241.32%31320539711419491
9Wilkes-Barre/Scranton Penguins11000000532000000000001100000053221.0005813002111123311491261145411210373133.33%5260.00%021547045.74%23856042.50%10024241.32%31320539711419491
Total1547012104650-4814011102327-47330010023230140.46746811271021111233911491261145552160152348381026.32%701381.43%021547045.74%23856042.50%10024241.32%31320539711419491
_Since Last GM Reset1547012104650-4814011102327-47330010023230140.46746811271021111233911491261145552160152348381026.32%701381.43%021547045.74%23856042.50%10024241.32%31320539711419491
_Vs Conference1127002002940-11504001001018-8623001001922-360.273295180102111123288149126114542112410625128725.00%501178.00%021547045.74%23856042.50%10024241.32%31320539711419491
_Vs Division415001001114-32030000035-22120010089-130.375112031002111123110149126114513337381037114.29%18477.78%021547045.74%23856042.50%10024241.32%31320539711419491

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1514W1468112739155216015234810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
154712104650
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
81411102327
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73301002323
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
381026.32%701381.43%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
14912611452111123
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
21547045.74%23856042.50%10024241.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
31320539711419491


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
1 - 2025-01-1914Rockford IceHogs2Tucson Roadrunners3WXXSommaire du match
2 - 2025-01-2020Tucson Roadrunners4Ontario Reign2WSommaire du match
3 - 2025-01-2134Tucson Roadrunners2San Jose Barracuda4LSommaire du match
4 - 2025-01-2254Providence Bruins3Tucson Roadrunners1LSommaire du match
6 - 2025-01-2479Ontario Reign4Tucson Roadrunners3LSommaire du match
7 - 2025-01-2598San Jose Barracuda6Tucson Roadrunners3LSommaire du match
8 - 2025-01-26109Tucson Roadrunners4Toronto Marlies1WSommaire du match
10 - 2025-01-28122Tucson Roadrunners3Bridgeport Islanders6LSommaire du match
11 - 2025-01-29136Texas Stars3Tucson Roadrunners5WSommaire du match
13 - 2025-01-31166Bridgeport Islanders3Tucson Roadrunners2LXSommaire du match
14 - 2025-02-01186Tucson Roadrunners2Providence Bruins3LSommaire du match
15 - 2025-02-02188Tucson Roadrunners3San Jose Barracuda4LXSommaire du match
16 - 2025-02-03205Laval Rocket4Tucson Roadrunners5WXSommaire du match
18 - 2025-02-05230Bridgeport Islanders2Tucson Roadrunners1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
19 - 2025-02-06236Tucson Roadrunners5Wilkes-Barre/Scranton Penguins3WSommaire du match
20 - 2025-02-07250Tucson Roadrunners-Hershey Bears-
21 - 2025-02-08265Providence Bruins-Tucson Roadrunners-
23 - 2025-02-10288Tucson Roadrunners-Chicago Wolves-
24 - 2025-02-11290Tucson Roadrunners-Manitoba Moose-
27 - 2025-02-14314Manitoba Moose-Tucson Roadrunners-



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
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 24,825,000$ 24,825,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$




Tucson Roadrunners Leaders statistiques des joueurs (saison régulière)

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

Tucson Roadrunners Leaders des statistiques des gardiens (saison régulière)

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

Tucson Roadrunners Statistiques de l'Équipe de Carrière

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

Tucson Roadrunners Leaders statistiques des joueurs (séries éliminatoires)

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

Tucson Roadrunners Leaders des statistiques des gardiens (séries éliminatoires)

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