Tucson Roadrunners
GP: 37 | W: 11 | L: 20 | OTL: 6 | P: 28
GF: 101 | GA: 123 | PP%: 16.22% | PK%: 80.92%
DG: Markus | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #601 vs Wilkes-Barre/Scranton Penguins
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Centre de jeu
Tucson Roadrunners
11-20-6, 28pts
3
FINAL
2 Belleville Senators
19-18-1, 39pts
Team Stats
W2SéquenceW1
7-8-4Fiche domicile8-9-1
4-12-2Fiche domicile11-9-0
4-6-0Derniers 10 matchs5-4-1
2.73Buts par match 3.18
3.32Buts contre par match 2.89
16.22%Pourcentage en avantage numérique16.30%
80.92%Pourcentage en désavantage numérique80.00%
Wilkes-Barre/Scranton Penguins
20-13-4, 44pts
2
FINAL
4 Tucson Roadrunners
11-20-6, 28pts
Team Stats
L1SéquenceW2
10-6-2Fiche domicile7-8-4
10-7-2Fiche domicile4-12-2
3-5-2Derniers 10 matchs4-6-0
3.49Buts par match 2.73
3.00Buts contre par match 3.32
22.02%Pourcentage en avantage numérique16.22%
88.08%Pourcentage en désavantage numérique80.92%
Tucson Roadrunners
11-20-6, 28pts
2025-04-14
Wilkes-Barre/Scranton Penguins
20-13-4, 44pts
Statistiques d’équipe
W2SéquenceL1
7-8-4Fiche domicile10-6-2
4-12-2Fiche visiteur10-7-2
4-6-010 derniers matchs3-5-2
2.73Buts par match 3.49
3.32Buts contre par match 3.49
16.22%Pourcentage en avantage numérique22.02%
80.92%Pourcentage en désavantage numérique88.08%
Tucson Roadrunners
11-20-6, 28pts
2025-04-16
Utica Comets
21-13-3, 45pts
Statistiques d’équipe
W2SéquenceOTL1
7-8-4Fiche domicile10-8-0
4-12-2Fiche visiteur11-5-3
4-6-010 derniers matchs5-3-2
2.73Buts par match 3.22
3.32Buts contre par match 3.22
16.22%Pourcentage en avantage numérique22.22%
80.92%Pourcentage en désavantage numérique83.74%
Utica Comets
21-13-3, 45pts
2025-04-18
Tucson Roadrunners
11-20-6, 28pts
Statistiques d’équipe
OTL1SéquenceW2
10-8-0Fiche domicile7-8-4
11-5-3Fiche visiteur4-12-2
5-3-210 derniers matchs4-6-0
3.22Buts par match 2.73
2.92Buts contre par match 2.73
22.22%Pourcentage en avantage numérique16.22%
83.74%Pourcentage en désavantage numérique80.92%
Meneurs d'équipe
Buts
Steven Fogarty
12
Passes
Michael Mersch
17
Points
Michael Mersch
24
Plus/Moins
Danny Zhilkin
5
Victoires
Ben Kraws
9
Pourcentage d’arrêts
Ben Kraws
0.908

Statistiques d’équipe
Buts pour
101
2.73 GFG
Tirs pour
1082
29.24 Avg
Pourcentage en avantage numérique
16.2%
18 GF
Début de zone offensive
36.4%
Buts contre
123
3.32 GAA
Tirs contre
1271
34.35 Avg
Pourcentage en désavantage numérique
80.9%%
29 GA
Début de la zone défensive
44.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,835
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 Brooks0X99.006861926562646659765461635952535150580281700,000$
12Anton Blidh0X100.006869716973708151504648644664645250570291775,000$
13Martin Chromiak (R)0X100.006965876168707858505358625546467850570226875,000$
14Adam Boqvist0X100.0060419983647560802566556625656573506502412,600,000$
15Lucas Carlsson0X100.007070716570717461255155635251516450600271750,000$
16Radim Simek0X100.007370836572616456254845673967672150600321750,000$
17Ashton Sautner0X100.007674796572748247253541643959593750590301750,000$
18Andrej Sustr0X100.008284766784687348254041653949492350590341750,000$
Rayé
1Dmitri Ovchinnikov (R)0X100.007060936160545358734764616146467850550221850,000$
2Morgan Adams-Moisan0X100.006579326279515444503844554247476250490271700,000$
3Cedric Lacroix0X100.006168456168515248504644544246463850490301700,000$
4Garrett Mitchell0X100.006470496370495144503844544246462350480331700,000$
5Sean Josling0XX100.005465286365495144553844494245457450470251700,000$
6Mikko Kokkonen (R)0X100.007672866672636748254041613946467850560246750,000$
7Jimmy Oligny0X100.006569576369454547253939563751513650510311700,000$
8Adam Brubacher0X100.007676775876383745253539603747475250510291700,000$
9Chris Jandric0X100.006566646366485041252839543748486150500261700,000$
MOYENNE D’ÉQUIPE99.96706874677162685646495261465353535057
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
1Ben Kraws098.00594761846770636872663047477250630241850,000$
2Malcolm Subban0100.00515265815555545955513060603550570311700,000$
Rayé
1Brian Elliott0100.00615255806556746265617978805506403911,000,000$
MOYENNE D’ÉQUIPE99.3357506082626064636459466262375061
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
1Michael MerschTucson Roadrunners (UTA)LW3771724-2320624910231606.86%961716.700551884000011040.18%11200000.7800000210
2Martin KautTucson Roadrunners (UTA)RW3791524-8007729330639.68%565717.7734715880000633033.07%12700000.7311000013
3Steven FogartyTucson Roadrunners (UTA)C/RW37121123-1120585993269012.90%1368518.5233618830002611061.54%5200000.6700000110
4Nils AmanTucson Roadrunners (UTA)C3761521-140041029133806.59%1269418.771235400000790043.70%77800000.6001000110
5Adam BoqvistTucson Roadrunners (UTA)D3731720-130021576530514.62%5587423.6324637940001142000%000000.4600000011
6Lucas CarlssonTucson Roadrunners (UTA)D374162002605331437439.30%5181021.9123516920002117000%000000.4900000003
7Ryan SchmelzerTucson Roadrunners (UTA)C375152022025789727715.15%1267718.3112318811014761053.09%63100000.5900000012
8Danny ZhilkinTucson Roadrunners (UTA)C369112052043272144812.50%646813.010116370112510146.55%34800000.8511000002
9Adam BrooksTucson Roadrunners (UTA)C3710616-100117867164214.93%246712.630111190000112049.42%51600010.6800000120
10Radim SimekTucson Roadrunners (UTA)D377815-104751202639101717.95%5380221.6841515910000104010%000000.3700001120
11Marian StudenicTucson Roadrunners (UTA)LW/RW379514-14094886215510.47%654714.8111211410000601135.61%13200000.5100000100
12Brendan LemieuxTucson Roadrunners (UTA)LW/RW376713-650101274258135310.34%567718.320225880000770029.70%20200000.3800020001
13Greg McKeggTucson Roadrunners (UTA)C/LW374711-728057372291518.18%5361716.69000000001101051.06%9400000.3600000011
14Givani SmithTucson Roadrunners (UTA)RW374610-239594426516416.15%954214.650001140000250152.38%4200000.3700001001
15Andrej SustrTucson Roadrunners (UTA)D3728105460108183114186.45%4876120.581231293000081000%000000.2600000011
16Ashton SautnerTucson Roadrunners (UTA)D3707723807716175140%5063017.03000013000052000%000000.2200000001
17Anton BlidhTucson Roadrunners (UTA)RW322352801915319236.45%22086.5100000000020046.15%1300000.4800000000
18Mikko KokkonenTucson Roadrunners (UTA)D6022-220713230%48013.350002100007000%000000.5000000000
19Martin ChromiakTucson Roadrunners (UTA)RW37101-1003270614.29%1772.1000008000000042.11%5700000.2600000000
Statistiques d’équipe totales ou en moyenne666100176276-523362086680510823137939.24%3961089716.3618314918097411212102610445.68%310400010.512302271216
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
1Ben KrawsTucson Roadrunners (UTA)2691340.9083.04157801808730020.66732611110
2Brian ElliottTucson Roadrunners (UTA)112720.8993.63661004039501100110000
Statistiques d’équipe totales ou en moyenne37112060.9053.22223901120126801333711110


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
1Brendan LemieuxNils AmanMartin Kaut30122
2Michael MerschAdam BrooksSteven Fogarty30122
3Marian StudenicRyan SchmelzerGivani Smith25122
4Danny ZhilkinGreg McKeggAnton Blidh15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistRadim Simek30122
2Lucas CarlssonAndrej Sustr30122
3Ashton SautnerGreg McKegg25122
4Adam BoqvistRadim Simek15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxRyan SchmelzerMartin Kaut60122
2Michael MerschMarian StudenicSteven Fogarty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistRadim Simek60122
2Lucas CarlssonAndrej Sustr40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan LemieuxSteven Fogarty60122
2Martin KautRyan Schmelzer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistRadim Simek60122
2Lucas CarlssonAndrej Sustr40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Martin Kaut60122Adam BoqvistRadim Simek60122
2Ryan Schmelzer40122Lucas CarlssonAndrej Sustr40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanBrendan Lemieux60122
2Martin KautRyan Schmelzer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistRadim Simek60122
2Lucas CarlssonAndrej Sustr40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxNils AmanMartin KautAdam BoqvistRadim Simek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxNils AmanMartin KautAdam BoqvistRadim Simek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Brooks, Martin Chromiak, Marian StudenicAdam Brooks, Martin ChromiakMarian Studenic
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ashton Sautner, Lucas Carlsson, Andrej SustrAshton SautnerLucas Carlsson, Andrej Sustr
Tirs de pénalité
Brendan Lemieux, Adam Brooks, Martin Kaut, Ryan Schmelzer, Steven Fogarty
Gardien
#1 : Ben Kraws, #2 : Malcolm Subban
Lignes d’attaque personnalisées en prolongation
Nils Aman, Adam Brooks, Martin Kaut, Ryan Schmelzer, Steven Fogarty, Brendan Lemieux, Brendan Lemieux, Michael Mersch, Marian Studenic, Givani Smith, Greg McKegg
Lignes de défense personnalisées en prolongation
Adam Boqvist, Radim Simek, Lucas Carlsson, Andrej Sustr, Ashton Sautner


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
1Bakersfield Condors210001008801000010034-11100000054130.750815230038312856535337933518752619499333.33%7271.43%0550111949.15%600135444.31%26859744.89%833566931281480230
2Belleville Senators2010100045-1000000000002010100045-120.50048120038312856535337933518592514535120.00%7271.43%0550111949.15%600135444.31%26859744.89%833566931281480230
3Bridgeport Islanders2010010068-22010010068-20000000000010.25061016003831285653533793351871202055300.00%10370.00%0550111949.15%600135444.31%26859744.89%833566931281480230
4Calgary Wranglers1010000034-1000000000001010000034-100.00036900383128532353379335183414820400.00%40100.00%0550111949.15%600135444.31%26859744.89%833566931281480230
5Charlotte Checkers1010000035-21010000035-20000000000000.0003581038312854135337933518336628200.00%3166.67%0550111949.15%600135444.31%26859744.89%833566931281480230
6Chicago Wolves2110000056-1110000002021010000036-320.5005813013831285573533793351876302343400.00%9277.78%0550111949.15%600135444.31%26859744.89%833566931281480230
7Hartford Wolf Pack21100000651110000005231010000013-220.500610160038312855535337933518581320464125.00%9277.78%0550111949.15%600135444.31%26859744.89%833566931281480230
8Henderson Silver Knights1010000003-31010000003-30000000000000.0000000038312851035337933518297825100.00%40100.00%0550111949.15%600135444.31%26859744.89%833566931281480230
9Hershey Bears11000000413110000004130000000000021.00048120038312853035337933518381181911100.00%40100.00%0550111949.15%600135444.31%26859744.89%833566931281480230
10Iowa Wild1010000024-21010000024-20000000000000.00023500383128519353379335183511122711100.00%60100.00%0550111949.15%600135444.31%26859744.89%833566931281480230
11Laval Rocket1010000024-2000000000001010000024-200.000235003831285343533793351844101219300.00%4175.00%0550111949.15%600135444.31%26859744.89%833566931281480230
12Lehigh Valley Phantoms1010000034-1000000000001010000034-100.000358003831285313533793351834148225120.00%4175.00%0550111949.15%600135444.31%26859744.89%833566931281480230
13Manitoba Moose11000000312110000003120000000000021.00035800383128518353379335182271219100.00%60100.00%0550111949.15%600135444.31%26859744.89%833566931281480230
14Ontario Reign413000001113-21100000051430300000612-620.250111829103831285118353379335181253931871317.69%13192.31%1550111949.15%600135444.31%26859744.89%833566931281480230
15Providence Bruins40300100915-630300000712-51000010023-110.12591625103831285983533793351815039448615213.33%20385.00%0550111949.15%600135444.31%26859744.89%833566931281480230
16Rockford IceHogs10001000431000000000001000100043121.0004610003831285243533793351831118253133.33%4175.00%0550111949.15%600135444.31%26859744.89%833566931281480230
17San Diego Gulls1010000023-1000000000001010000023-100.00023500383128527353379335183198195240.00%4175.00%0550111949.15%600135444.31%26859744.89%833566931281480230
18San Jose Barracuda301011001012-200000000000301011001012-230.500101929003831285943533793351810436227915213.33%11554.55%0550111949.15%600135444.31%26859744.89%833566931281480230
19Texas Stars1010000013-21010000013-20000000000000.000123003831285283533793351839201226300.00%6266.67%0550111949.15%600135444.31%26859744.89%833566931281480230
20Toronto Marlies2000020068-22000020068-20000000000020.500611170038312856835337933518772114465120.00%7185.71%0550111949.15%600135444.31%26859744.89%833566931281480230
21Wilkes-Barre/Scranton Penguins31100010981210000108531010000013-240.66791524003831285103353379335181062727739111.11%10190.00%0550111949.15%600135444.31%26859744.89%833566931281480230
Total3772003610101123-221968004105557-218112032004666-20280.37810117627731383128510823533793351812713963368661111816.22%1522980.92%1550111949.15%600135444.31%26859744.89%833566931281480230
_Since Last GM Reset3772003610101123-221968004105557-218112032004666-20280.37810117627731383128510823533793351812713963368661111816.22%1522980.92%1550111949.15%600135444.31%26859744.89%833566931281480230
_Vs Conference25514023106778-11125500110383351309022002945-16190.3806711718420383128571435337933518827247222583771215.58%1021981.37%1550111949.15%600135444.31%26859744.89%833566931281480230
_Vs Division11270120033321723000002516940401200816-880.3643356890138312853413533793351838311510625826415.38%46980.43%0550111949.15%600135444.31%26859744.89%833566931281480230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3728W21011762771082127139633686631
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
377203610101123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
196804105557
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1811232004666
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1111816.22%1522980.92%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
353379335183831285
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
550111949.15%600135444.31%26859744.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
833566931281480230


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 - 2025-02-012Ontario Reign1Tucson Roadrunners5WSommaire du match
5 - 2025-02-0529Tucson Roadrunners1Ontario Reign3LSommaire du match
7 - 2025-02-0747Providence Bruins4Tucson Roadrunners3LSommaire du match
8 - 2025-02-0856Tucson Roadrunners2Ontario Reign4LSommaire du match
11 - 2025-02-1178Providence Bruins5Tucson Roadrunners3LSommaire du match
13 - 2025-02-1397Manitoba Moose1Tucson Roadrunners3WSommaire du match
14 - 2025-02-14107Tucson Roadrunners2Providence Bruins3LXSommaire du match
16 - 2025-02-16126Tucson Roadrunners3Ontario Reign5LSommaire du match
18 - 2025-02-18140Hartford Wolf Pack2Tucson Roadrunners5WSommaire du match
20 - 2025-02-20161Wilkes-Barre/Scranton Penguins3Tucson Roadrunners4WXXSommaire du match
21 - 2025-02-21169Tucson Roadrunners1Belleville Senators3LSommaire du match
23 - 2025-02-23187Tucson Roadrunners4Rockford IceHogs3WXSommaire du match
26 - 2025-02-26206Bridgeport Islanders4Tucson Roadrunners3LXSommaire du match
27 - 2025-02-27220Tucson Roadrunners3Chicago Wolves6LSommaire du match
29 - 2025-03-01230Tucson Roadrunners3San Jose Barracuda5LSommaire du match
30 - 2025-03-02240Tucson Roadrunners1Wilkes-Barre/Scranton Penguins3LSommaire du match
32 - 2025-03-04257Toronto Marlies4Tucson Roadrunners3LXSommaire du match
34 - 2025-03-06276Providence Bruins3Tucson Roadrunners1LSommaire du match
36 - 2025-03-08297Tucson Roadrunners1Hartford Wolf Pack3LSommaire du match
37 - 2025-03-09310Bakersfield Condors4Tucson Roadrunners3LXSommaire du match
39 - 2025-03-11325Tucson Roadrunners3San Jose Barracuda4LXSommaire du match
41 - 2025-03-13340Toronto Marlies4Tucson Roadrunners3LXSommaire du match
44 - 2025-03-16361Tucson Roadrunners2Laval Rocket4LSommaire du match
45 - 2025-03-17372Bridgeport Islanders4Tucson Roadrunners3LSommaire du match
48 - 2025-03-20394Tucson Roadrunners5Bakersfield Condors4WSommaire du match
49 - 2025-03-21405Hershey Bears1Tucson Roadrunners4WSommaire du match
51 - 2025-03-23421Tucson Roadrunners2San Diego Gulls3LSommaire du match
52 - 2025-03-24435Tucson Roadrunners3Lehigh Valley Phantoms4LSommaire du match
54 - 2025-03-26448Henderson Silver Knights3Tucson Roadrunners0LSommaire du match
57 - 2025-03-29464Chicago Wolves0Tucson Roadrunners2WSommaire du match
59 - 2025-03-31485Tucson Roadrunners4San Jose Barracuda3WXSommaire du match
60 - 2025-04-01499Texas Stars3Tucson Roadrunners1LSommaire du match
63 - 2025-04-04520Iowa Wild4Tucson Roadrunners2LSommaire du match
66 - 2025-04-07537Tucson Roadrunners3Calgary Wranglers4LSommaire du match
67 - 2025-04-08555Charlotte Checkers5Tucson Roadrunners3LSommaire du match
69 - 2025-04-10572Tucson Roadrunners3Belleville Senators2WXSommaire du match
71 - 2025-04-12584Wilkes-Barre/Scranton Penguins2Tucson Roadrunners4WSommaire du match
73 - 2025-04-14601Tucson Roadrunners-Wilkes-Barre/Scranton Penguins-
75 - 2025-04-16619Tucson Roadrunners-Utica Comets-
77 - 2025-04-18630Utica Comets-Tucson Roadrunners-
79 - 2025-04-20646Tucson Roadrunners-Syracuse Crunch-
81 - 2025-04-22660Laval Rocket-Tucson Roadrunners-
83 - 2025-04-24679Tucson Roadrunners-Bridgeport Islanders-
84 - 2025-04-25691Abbotsford Canucks-Tucson Roadrunners-
86 - 2025-04-27712Manitoba Moose-Tucson Roadrunners-
88 - 2025-04-29724Tucson Roadrunners-Providence Bruins-
90 - 2025-05-01743Ontario Reign-Tucson Roadrunners-
93 - 2025-05-04762Tucson Roadrunners-Cleveland Monsters-
95 - 2025-05-06773Tucson Roadrunners-Abbotsford Canucks-
97 - 2025-05-08790Hartford Wolf Pack-Tucson Roadrunners-
99 - 2025-05-10805Tucson Roadrunners-Iowa Wild-
101 - 2025-05-12815Rockford IceHogs-Tucson Roadrunners-
103 - 2025-05-14837Tucson Roadrunners-Texas Stars-
104 - 2025-05-15852Tucson Roadrunners-Manitoba Moose-
106 - 2025-05-17863Syracuse Crunch-Tucson Roadrunners-
108 - 2025-05-19883Tucson Roadrunners-Milwaukee Admirals-
109 - 2025-05-20893Coachella Valley Firebirds-Tucson Roadrunners-
112 - 2025-05-23914Grand Rapids Griffins-Tucson Roadrunners-
114 - 2025-05-25932Tucson Roadrunners-Colorado Eagles-
115 - 2025-05-26948Rochester Americans-Tucson Roadrunners-
118 - 2025-05-29968Calgary Wranglers-Tucson Roadrunners-
121 - 2025-06-01983Tucson Roadrunners-Hershey Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123 - 2025-06-031005Cleveland Monsters-Tucson Roadrunners-
125 - 2025-06-051024Belleville Senators-Tucson Roadrunners-
126 - 2025-06-061033Tucson Roadrunners-Rochester Americans-
128 - 2025-06-081043Tucson Roadrunners-Charlotte Checkers-
130 - 2025-06-101064Milwaukee Admirals-Tucson Roadrunners-
132 - 2025-06-121082Tucson Roadrunners-Springfield Thunderbirds-
133 - 2025-06-131089Tucson Roadrunners-Grand Rapids Griffins-
135 - 2025-06-151106Springfield Thunderbirds-Tucson Roadrunners-
137 - 2025-06-171123Tucson Roadrunners-Manitoba Moose-
139 - 2025-06-191138Lehigh Valley Phantoms-Tucson Roadrunners-
140 - 2025-06-201150Tucson Roadrunners-Henderson Silver Knights-
143 - 2025-06-231172San Jose Barracuda-Tucson Roadrunners-
144 - 2025-06-241177Tucson Roadrunners-Toronto Marlies-
146 - 2025-06-261189Tucson Roadrunners-Ontario Reign-
148 - 2025-06-281208Chicago Wolves-Tucson Roadrunners-
151 - 2025-07-011223Tucson Roadrunners-Coachella Valley Firebirds-
152 - 2025-07-021233Tucson Roadrunners-Toronto Marlies-
155 - 2025-07-051248Colorado Eagles-Tucson Roadrunners-
159 - 2025-07-091275San Diego Gulls-Tucson Roadrunners-
165 - 2025-07-151298San Jose Barracuda-Tucson Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance36,08117,779
Assistance PCT94.95%93.57%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
22 2835 - 94.49% 41,056$780,055$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
10,330,442$ 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$ 10,330,442$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
903,222$ 98 146,893$ 14,395,514$




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