Connexion

Roadrunners
GP: 55 | W: 18 | L: 33 | OTL: 4 | P: 40
GF: 243 | GA: 298 | PP%: 21.14% | PK%: 63.71%
DG: Greg Vandersteen | Morale : 31 | Moyenne d’équipe : 59
Prochains matchs #616 vs Butter Knives
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Centre de jeu
Admirals
27-25-3, 57pts
8
FINAL
7 Roadrunners
18-33-4, 40pts
Team Stats
OTW1SéquenceL1
13-11-3Fiche domicile6-19-3
14-14-0Fiche domicile12-14-1
8-1-1Derniers 10 matchs3-6-1
5.00Buts par match 4.42
5.09Buts contre par match 5.42
22.30%Pourcentage en avantage numérique21.14%
75.00%Pourcentage en désavantage numérique63.71%
Roadrunners
18-33-4, 40pts
4
FINAL
5 Bruins
21-27-8, 50pts
Team Stats
L1SéquenceW1
6-19-3Fiche domicile11-10-7
12-14-1Fiche domicile10-17-1
3-6-1Derniers 10 matchs4-6-0
4.42Buts par match 3.84
5.42Buts contre par match 4.64
21.14%Pourcentage en avantage numérique21.67%
63.71%Pourcentage en désavantage numérique77.22%
Roadrunners
18-33-4, 40pts
Jour 117
Butter Knives
28-26-2, 58pts
Statistiques d’équipe
L1SéquenceL3
6-19-3Fiche domicile13-12-2
12-14-1Fiche visiteur15-14-0
3-6-110 derniers matchs3-6-1
4.42Buts par match 4.91
5.42Buts contre par match 4.91
21.14%Pourcentage en avantage numérique29.27%
63.71%Pourcentage en désavantage numérique80.80%
Aces
33-16-4, 70pts
Jour 118
Roadrunners
18-33-4, 40pts
Statistiques d’équipe
W3SéquenceL1
18-10-0Fiche domicile6-19-3
15-6-4Fiche visiteur12-14-1
9-1-010 derniers matchs3-6-1
3.66Buts par match 4.42
3.19Buts contre par match 4.42
20.17%Pourcentage en avantage numérique21.14%
83.54%Pourcentage en désavantage numérique63.71%
Americiens
24-26-6, 54pts
Jour 122
Roadrunners
18-33-4, 40pts
Statistiques d’équipe
L5SéquenceL1
14-11-3Fiche domicile6-19-3
10-15-3Fiche visiteur12-14-1
1-9-010 derniers matchs3-6-1
4.95Buts par match 4.42
4.96Buts contre par match 4.42
20.00%Pourcentage en avantage numérique21.14%
75.19%Pourcentage en désavantage numérique63.71%
Meneurs d'équipe
Nils AmanButs
Nils Aman
27
Nils AmanPasses
Nils Aman
49
Nils AmanPoints
Nils Aman
76
Matthew KesselPlus/Moins
Matthew Kessel
2
Jet GreavesVictoires
Jet Greaves
13
Jet GreavesPourcentage d’arrêts
Jet Greaves
0.855

Statistiques d’équipe
Buts pour
243
4.42 GFG
Tirs pour
2004
36.44 Avg
Pourcentage en avantage numérique
21.1%
26 GF
Début de zone offensive
40.6%
Buts contre
298
5.42 GAA
Tirs contre
2240
40.73 Avg
Pourcentage en désavantage numérique
63.7%%
45 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralGreg Vandersteen
EntraîneurDave Semenko
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1Alex Laferriere
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 50
Espoirs30


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Will CuylleX100.00856583697668907450606460515659042640222500,000$
2Alex Laferriere (A)X97.007463777073729172506264595258590516302341,000,000$
3Max JonesX100.00836373707870697750665859506565033630264500,000$
4Matthew Poitras (R)XXX100.00595590696471607462696260515559048620203500,000$
5Thomas BordeleauX100.00585967726174587868646758515962024620233500,000$
6Nils AmanX100.00655589696567647760645668506366052620242500,000$
7Tyson JostX100.00695688696667647658615362506666053610264500,000$
8David GustafssonX100.00655099667063617371585266506264023600244500,000$
9Landon SlaggertX100.00615587636462546950595157505861037570224500,000$
10Matthew KesselX100.00695884627568646750615370556366042630243500,000$
11Rasmus RistolainenX100.00755886597568616150545068557270046620304750,000$
12Sam MalinskiX100.00625786686764576950665966566566052620264500,000$
13Brandt ClarkeX100.00556170677349556150605858565861055570212500,000$
14Ian MitchellX100.00506263546851545650545163556567032550263500,000$
Rayé
1Joey AndersonX100.00695691687473727150655670506465012630262500,000$
2Viktor ArvidssonX100.005460636765715676506968585173740196303112,000,000$
3Akil ThomasX100.00535685546950516550506050516066019540254500,000$
4Logan CoutureX100.005042675774545550735050516182810195303531,000,000$
5Sam PoulinX100.00504267577450505050505050505960020510233500,000$
6Cutter Gauthier (R)X100.00503589576850525650325050505364020490213500,000$
7Erik JohnsonX100.008167946081678060505053725684800156503616,000,000$
8Zac JonesX100.00625787626265606750665465566264045600243500,000$
9Philippe MyersX100.00504279577850525050505050556767020530283500,000$
MOYENNE D’ÉQUIPE99.8763558164706362665458566053646603459
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
1Akira Schmid96.0071697078716961656351506164011650243500,000$
2Jet Greaves100.0053646169514646464650505959011520234500,000$
Rayé
MOYENNE D’ÉQUIPE98.006267667461585456555150606201159
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Semenko8787878787501CAN607500,000$


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
1Nils AmanRoadrunners (UTA)C55274976-22280792112707621710.00%28116521.190001100000101054.81%134100001.3000000843
2Zach BensonUtah Hockey ClubLW28292453-96047671604712118.13%1472425.8954926660000424145.21%14600031.4602000674
3Tyson JostRoadrunners (UTA)C55173047118055125163408810.43%2289216.22000120000140054.15%90300001.0522000433
4Zac JonesRoadrunners (UTA)D52113041-22200616811635739.48%63107420.6713411480001371045.36%9700000.7612000033
5Max JonesRoadrunners (UTA)LW29152237-151601084999278015.15%762721.632249440001191056.86%5100001.1801000244
6Victor OlofssonUtah Hockey ClubLW28181937-6201050134266913.43%1652818.8813416470000100139.76%8300011.4012000413
7Brandt ClarkeRoadrunners (UTA)D55132235-2112108169104177212.50%38107419.55011370000100047.91%43000100.6501101241
8Landon SlaggertRoadrunners (UTA)LW55151934-351407474117338012.82%39117721.4000000000010047.78%9000000.5800000132
9Matthew KesselRoadrunners (UTA)D3062430218079346414369.38%5870723.5706622680000421066.67%300000.8500000225
10Damon SeversonUtah Hockey ClubD23111829-9100412858202618.97%3855023.936392747000054010%000001.0500000213
11Matthew PoitrasRoadrunners (UTA)C/LW/RW1421315-6205343211346.25%227119.38123326000021061.31%16800001.1100000002
12Thomas BordeleauRoadrunners (UTA)C1331215-2608354520396.67%424819.091237180002180058.15%31300001.2100000101
13Alex LaferriereRoadrunners (UTA)RW7437-22016133272012.50%017825.5210146000010023.08%1300010.7800000100
14Will CuylleRoadrunners (UTA)LW9437-56021113271812.50%020923.250001110000180040.91%2200000.6700000000
15Rasmus RistolainenRoadrunners (UTA)D1114506027711169.09%2923521.41011312000016000%000000.4200000000
16Ian MitchellRoadrunners (UTA)D12134-36010271414.29%1619316.100000100008000%000000.4100000000
17Sam MalinskiRoadrunners (UTA)D7134-2008984412.50%1415922.8100007000014000%000000.5000000000
18David GustafssonRoadrunners (UTA)C7213-1001954440.00%1568.1000000000030053.70%5400001.0600000001
Statistiques d’équipe totales ou en moyenne490180299479-15717210731895145739099112.35%3891007420.5618274513442900043249353.12%371400150.95410101333235
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
1Jet GreavesRoadrunners (UTA)47132130.8555.6721828020614200200.50044355101
2Akira SchmidRoadrunners (UTA)2371110.8465.13117020100651010002316000
3Darcy KuemperUtah Hockey Club53110.8893.9229100191710000.750450100
Statistiques d’équipe totales ou en moyenne75233350.8555.353643100325224203087171201


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
Akil ThomasRoadrunners (UTA)C252000-01-02CANNo195 Lbs6 ft0NoNoFree AgentNoNo42024-09-04FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Akira SchmidRoadrunners (UTA)G242000-05-12CHENo205 Lbs6 ft5NoNoTrade2024-11-08NoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Alex LaferriereRoadrunners (UTA)RW232001-10-28USANo205 Lbs6 ft1NoNoFree AgentNoNo42024-09-04FalseFalsePro & Farm1,000,000$100,000$34,286$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Brandt ClarkeRoadrunners (UTA)D212003-02-09CANNo200 Lbs6 ft2NoNoTrade2024-08-13NoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Cutter GauthierRoadrunners (UTA)LW212004-01-19USAYes189 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
David GustafssonRoadrunners (UTA)C242000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo42024-08-13FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Erik JohnsonRoadrunners (UTA)D361988-03-21USANo225 Lbs6 ft4NoNoN/ANoYes1FalseFalsePro & Farm6,000,000$6,000,000$2,057,143$No---------------------------Lien NHL
Ian MitchellRoadrunners (UTA)D261999-01-18CANNo192 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Jet GreavesRoadrunners (UTA)G232001-03-30CANNo184 Lbs6 ft0NoNoN/ANoNo42024-08-25FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Joey AndersonRoadrunners (UTA)RW261998-06-19USANo207 Lbs6 ft0NoNoN/ANoYes2FalseFalsePro & Farm500,000$500,000$171,429$No500,000$--------500,000$--------No--------Lien NHL
Landon SlaggertRoadrunners (UTA)LW222002-06-25USANo180 Lbs6 ft0NoNoFree AgentNoNo42024-09-05FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Logan CoutureRoadrunners (UTA)C351989-03-28CANNo206 Lbs6 ft1NoNoAssign ManuallyNoNo32024-08-25FalseFalsePro & Farm1,000,000$100,000$34,286$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Matthew KesselRoadrunners (UTA)D242000-06-23USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo32024-08-21FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Matthew PoitrasRoadrunners (UTA)C/LW/RW202004-03-10CANYes180 Lbs5 ft11NoNoTrade2024-09-16NoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Max JonesRoadrunners (UTA)LW261998-02-17USANo216 Lbs6 ft3NoNoN/ANoNo42024-08-20FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Nils AmanRoadrunners (UTA)C242000-02-07SWENo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Philippe MyersRoadrunners (UTA)D281997-01-25CANNo213 Lbs6 ft6NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Rasmus RistolainenRoadrunners (UTA)D301994-10-27FINNo208 Lbs6 ft4NoNoN/ANoNo42024-08-20FalseFalsePro & Farm750,000$75,000$25,714$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien NHL
Sam MalinskiRoadrunners (UTA)D261998-07-27USANo190 Lbs5 ft11NoNoFree AgentNoNo42024-10-07FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Sam PoulinRoadrunners (UTA)RW232001-02-25CANNo208 Lbs6 ft1NoNoN/ANoNo32024-08-10FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Thomas BordeleauRoadrunners (UTA)C232002-01-03USANo175 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Tyson JostRoadrunners (UTA)C261998-03-14CANNo187 Lbs5 ft11NoNoN/ANoNo42024-08-20FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien NHL
Viktor ArvidssonRoadrunners (UTA)RW311993-04-08SWENo185 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm2,000,000$2,000,000$685,714$No---------------------------Lien NHL
Will CuylleRoadrunners (UTA)LW222002-02-05CANNo210 Lbs6 ft3NoNoTrade2025-01-09NoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------Lien NHL
Zac JonesRoadrunners (UTA)D242000-10-18USANo176 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.32197 Lbs6 ft13.04830,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleThomas BordeleauAlex Laferriere40122
2Max JonesNils AmanMatthew Poitras30122
3Landon SlaggertTyson JostAlex Laferriere20122
4Will CuylleDavid GustafssonAlex Laferriere10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus RistolainenSam Malinski40122
2Matthew Kessel30122
3Brandt ClarkeIan Mitchell20122
4Rasmus RistolainenSam Malinski10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will CuylleThomas BordeleauAlex Laferriere60122
2Max JonesNils AmanMatthew Poitras40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus RistolainenSam Malinski60122
2Matthew Kessel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Thomas BordeleauWill Cuylle60122
2Nils AmanMax Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus RistolainenSam Malinski60122
2Matthew Kessel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Thomas Bordeleau60122Rasmus RistolainenSam Malinski60122
2Nils Aman40122Matthew Kessel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Thomas BordeleauWill Cuylle60122
2Nils AmanMax Jones40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus RistolainenSam Malinski60122
2Matthew Kessel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleThomas BordeleauAlex LaferriereRasmus RistolainenSam Malinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleThomas BordeleauAlex LaferriereRasmus RistolainenSam Malinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Bordeleau, Nils Aman, Tyson JostThomas Bordeleau, Nils AmanThomas Bordeleau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Brandt Clarke, Ian Mitchell, Brandt Clarke
Tirs de pénalité
Will Cuylle, Alex Laferriere, Max Jones, Matthew Poitras, Thomas Bordeleau
Gardien
#1 : Akira Schmid, #2 : Jet Greaves
Lignes d’attaque personnalisées en prolongation
Will Cuylle, Alex Laferriere, Max Jones, Matthew Poitras, Thomas Bordeleau, Nils Aman, Nils Aman, Tyson Jost, David Gustafsson, , Landon Slaggert
Lignes de défense personnalisées en prolongation
Rasmus Ristolainen, Sam Malinski, Matthew Kessel, , Brandt Clarke


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
1Aces1010000035-2000000000001010000035-200.00035800103834812227126556113830789300.00%4175.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
2Admirals612011103435-13110010017170301010101718-170.5833457910010383481224071265561138299813513419421.05%14750.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
3Barons31200000812-420200000510-51100000032120.33381523001038348127671265561138662710526116.67%5340.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
4Barracuda1010000047-31010000047-30000000000000.00047110010383481237712655611385414423200.00%2150.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
5Broncos53200000211833210000013942110000089-160.600214162001038348121827126556113813441188913323.08%8187.50%01017192352.89%922178451.68%544103552.56%13679951297359676342
6Bruins302001001316-320100100911-21010000045-110.16713233600103834812957126556113880182080300.00%10370.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
7Butter Knives20200000716-920200000716-90000000000000.00071320001038348128571265561138129361834300.00%7614.29%01017192352.89%922178451.68%544103552.56%13679951297359676342
8Canucks220000001064110000007431100000032141.00010203000103834812857126556113851110317114.29%000%01017192352.89%922178451.68%544103552.56%13679951297359676342
9Fighting Pandas604010011827-92020000059-4402010011318-530.2501835530010383481218871265561138181762110014321.43%7185.71%01017192352.89%922178451.68%544103552.56%13679951297359676342
10Firebirds403000101926-7302000101722-51010000024-220.250193049001038348121577126556113818650221049111.11%9455.56%01017192352.89%922178451.68%544103552.56%13679951297359676342
11Griffins202000001115-41010000068-21010000057-200.000112031001038348128171265561138126331658200.00%7271.43%01017192352.89%922178451.68%544103552.56%13679951297359676342
12Ice Bats201010001516-11010000068-21000100098120.5001529440010383481210471265561138116326363266.67%3166.67%01017192352.89%922178451.68%544103552.56%13679951297359676342
13Lions10001000541100010005410000000000021.000510150010383481245712655611384315626100.00%30100.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
14Lynx2020000049-5000000000002020000049-500.0004711001038348124971265561138681616242150.00%8275.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
15Marlies302010001519-41010000057-2201010001012-220.33315274200103834812102712655611381313431454250.00%12741.67%21017192352.89%922178451.68%544103552.56%13679951297359676342
16Nordiks202000001115-41010000078-11010000047-300.00011193000103834812105712655611381163210484125.00%5260.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
17Punishers1000010034-11000010034-10000000000010.5003580010383481236712655611384313418300.00%2150.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
18Tomahawks402020001823-51010000046-2301020001417-340.500183452001038348121507126556113820266169411436.36%80100.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
19Wombats413000001621-520200000712-52110000099020.250162743001038348121257126556113813036187011218.18%9366.67%01017192352.89%922178451.68%544103552.56%13679951297359676342
20Wranglers11000000844000000000001100000084421.000815230010383481240712655611385562213133.33%10100.00%01017192352.89%922178451.68%544103552.56%13679951297359676342
Total5593307321243298-552841901310127162-352751406011116136-20400.36424343968200103834812200471265561138224064428110961232621.14%1244563.71%21017192352.89%922178451.68%544103552.56%13679951297359676342
_Since Last GM Reset5593307321243298-552841901310127162-352751406011116136-20400.36424343968200103834812200471265561138224064428110961232621.14%1244563.71%21017192352.89%922178451.68%544103552.56%13679951297359676342
_Vs Conference3552203221147187-40183120021080103-2317210030116784-17230.329147260407001038348121223712655611381338388199680781620.51%843459.52%21017192352.89%922178451.68%544103552.56%13679951297359676342
_Vs Division2151001120101115-141236001106068-8924010104147-6170.4051011752760010383481278571265561138875241109455541018.52%471763.83%01017192352.89%922178451.68%544103552.56%13679951297359676342

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5540L124343968220042240644281109600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
559337321243298
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
284191310127162
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
275146011116136
Derniers 10 matchs
WLOTWOTL SOWSOL
162100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1232621.14%1244563.71%2
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
71265561138103834812
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
1017192352.89%922178451.68%544103552.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13679951297359676342


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
12Fighting Pandas6Roadrunners3LSommaire du match
213Roadrunners4Fighting Pandas5LXXSommaire du match
527Broncos2Roadrunners6WSommaire du match
841Roadrunners6Tomahawks5WXSommaire du match
950Roadrunners4Tomahawks3WXSommaire du match
1161Broncos3Roadrunners2LSommaire du match
1374Admirals6Roadrunners5LSommaire du match
1582Roadrunners8Wombats3WSommaire du match
1794Firebirds9Roadrunners6LSommaire du match
20110Roadrunners4Admirals7LSommaire du match
21122Bruins6Roadrunners5LSommaire du match
24134Roadrunners2Fighting Pandas4LSommaire du match
25138Roadrunners5Broncos3WSommaire du match
27151Fighting Pandas3Roadrunners2LSommaire du match
30165Wombats6Roadrunners3LSommaire du match
32173Roadrunners2Firebirds4LSommaire du match
34181Tomahawks6Roadrunners4LSommaire du match
39202Firebirds7Roadrunners4LSommaire du match
42220Griffins8Roadrunners6LSommaire du match
44230Roadrunners3Barons2WSommaire du match
47243Butter Knives9Roadrunners2LSommaire du match
49253Roadrunners4Tomahawks9LSommaire du match
51264Roadrunners8Wranglers4WSommaire du match
53272Ice Bats8Roadrunners6LSommaire du match
54283Roadrunners3Broncos6LSommaire du match
55292Wombats6Roadrunners4LSommaire du match
58305Roadrunners8Admirals7WXXSommaire du match
60315Broncos4Roadrunners5WSommaire du match
63326Roadrunners3Canucks2WSommaire du match
64335Admirals3Roadrunners5WSommaire du match
67353Barracuda7Roadrunners4LSommaire du match
69358Roadrunners5Marlies4WXSommaire du match
71368Roadrunners1Wombats6LSommaire du match
73377Roadrunners2Lynx6LSommaire du match
74385Bruins5Roadrunners4LXSommaire du match
78402Firebirds6Roadrunners7WXXSommaire du match
80412Roadrunners5Griffins7LSommaire du match
81422Roadrunners5Marlies8LSommaire du match
83427Punishers4Roadrunners3LXSommaire du match
86441Roadrunners4Fighting Pandas3WXSommaire du match
87450Butter Knives7Roadrunners5LSommaire du match
89463Roadrunners3Fighting Pandas6LSommaire du match
91472Barons4Roadrunners3LSommaire du match
94489Nordiks8Roadrunners7LSommaire du match
95496Roadrunners9Ice Bats8WXSommaire du match
97508Roadrunners3Aces5LSommaire du match
99517Lions4Roadrunners5WXSommaire du match
101532Canucks4Roadrunners7WSommaire du match
104542Roadrunners5Admirals4WXSommaire du match
106555Barons6Roadrunners2LSommaire du match
108566Roadrunners4Nordiks7LSommaire du match
110576Roadrunners2Lynx3LSommaire du match
111581Marlies7Roadrunners5LSommaire du match
114598Admirals8Roadrunners7LXSommaire du match
115605Roadrunners4Bruins5LSommaire du match
117616Roadrunners-Butter Knives-
118626Aces-Roadrunners-
122642Americiens-Roadrunners-
124651Roadrunners-Americiens-
125659Roadrunners-Griffins-
127668Roadrunners-Punishers-
129676Marlies-Roadrunners-
131692Wombats-Roadrunners-
134702Roadrunners-Wombats-
136708Roadrunners-Tomahawks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138717Nordiks-Roadrunners-
139726Roadrunners-Lions-
141738Broncos-Roadrunners-
144749Roadrunners-Butter Knives-
145758Roadrunners-Broncos-
147766Wranglers-Roadrunners-
149773Roadrunners-Barracuda-
152787Americiens-Roadrunners-
156807Wranglers-Roadrunners-
157811Roadrunners-Firebirds-
160827Fighting Pandas-Roadrunners-
162844Lynx-Roadrunners-
163848Roadrunners-Bruins-
164855Roadrunners-Firebirds-
168871Fighting Pandas-Roadrunners-
172889Lynx-Roadrunners-
174901Roadrunners-Americiens-



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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,918,136$ 9,725,000$ 9,725,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,725,000$ 1,589,574$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 60 58,429$ 3,505,740$




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

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

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

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

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