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LHSRSM

Connexion

Roadrunners
GP: 50 | W: 28 | L: 15 | OTL: 7 | P: 63
GF: 194 | GA: 143 | PP%: 21.24% | PK%: 81.13%
DG: Christophe | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #812 vs Wild
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Centre de jeu
Thunderbirds
43-7-0, 86pts
6
FINAL
3 Roadrunners
28-15-7, 63pts
Team Stats
W14StreakL4
22-2-0Home Record9-9-2
21-5-0Away Record19-6-5
10-0-0Last 10 Games5-4-1
6.40Goals Per Game3.88
2.78Goals Against Per Game2.86
28.05%Power Play Percentage21.24%
82.88%Penalty Kill Percentage81.13%
Roadrunners
28-15-7, 63pts
4
FINAL
5 Gulls
42-5-3, 87pts
Team Stats
L4StreakW4
9-9-2Home Record20-2-1
19-6-5Away Record22-3-2
5-4-1Last 10 Games8-1-1
3.88Goals Per Game4.82
2.86Goals Against Per Game2.34
21.24%Power Play Percentage27.62%
81.13%Penalty Kill Percentage84.35%
Wild
32-16-0, 64pts
2023-02-06
Roadrunners
28-15-7, 63pts
Statistiques d’équipe
W2SéquenceL4
18-6-0Fiche domicile9-9-2
14-10-0Fiche visiteur19-6-5
6-4-010 derniers matchs5-4-1
4.46Buts par match 3.88
2.88Buts contre par match 2.86
18.52%Pourcentage en avantage numérique21.24%
84.88%Pourcentage en désavantage numérique81.13%
Roadrunners
28-15-7, 63pts
2023-02-10
IceHogs
28-18-2, 58pts
Statistiques d’équipe
L4SéquenceW3
9-9-2Fiche domicile17-9-1
19-6-5Fiche visiteur11-9-1
5-4-110 derniers matchs6-4-0
3.88Buts par match 6.46
2.86Buts contre par match 5.06
21.24%Pourcentage en avantage numérique29.41%
81.13%Pourcentage en désavantage numérique61.73%
Roadrunners
28-15-7, 63pts
2023-02-11
Thunderbirds
43-7-0, 86pts
Statistiques d’équipe
L4SéquenceW14
9-9-2Fiche domicile22-2-0
19-6-5Fiche visiteur21-5-0
5-4-110 derniers matchs10-0-0
3.88Buts par match 6.40
2.86Buts contre par match 2.78
21.24%Pourcentage en avantage numérique28.05%
81.13%Pourcentage en désavantage numérique82.88%
Meneurs d'équipe
Jacob PetersonButs
Jacob Peterson
4
Jacob PetersonPasses
Jacob Peterson
4
Jacob PetersonPoints
Jacob Peterson
8
Andrew PeekePlus/Moins
Andrew Peeke
5
Adin HillVictoires
Adin Hill
15
David TendeckPourcentage d’arrêts
David Tendeck
0.93

Statistiques d’équipe
Buts pour
194
3.88 GFG
Tirs pour
1902
38.04 Avg
Pourcentage en avantage numérique
21.2%
24 GF
Début de zone offensive
41.8%
Buts contre
143
2.86 GAA
Tirs contre
1507
30.14 Avg
Pourcentage en désavantage numérique
81.1%
20 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralChristophe
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 250
Espoirs45


Historique d'équipe

Saison actuelle28-15-7 (63PTS)
Historique399-175-58 (0.631%)
Apparitions en séries éliminatoires 7
Historique en séries éliminatoires (W-L)36-36
Coupe Stanley1


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
1Dryden HuntXX100.00864182637384876459656260646768050650252762,500$
2Liam FoudyXXX100.006038876978867067776459677163640506402111,269,167$
3Matias Maccelli (R)X100.00643686696884896874676163706364050640202925,000$
4Lane PedersonX100.00683681627482796076626159636667050620242750,000$
5Joey AndersonX100.00653781627686796153586259616567050620232750,000$
6Jean-Sebastien DeaX100.00583677646782796372616259646870050620271750,000$
7Sam Poulin (R)X100.00703477617985915763596061596163050620203863,333$
8David CottonX100.007139855780798258625659586165670506102411,350,000$
9Sampo RantaX100.006838826279787160595758615962640506102121,208,333$
10Cedric Pare (R)X100.00653993558469715661575854566365050600221650,000$
11Mattias SamuelssonX100.00844586639288875930735878506264050660212925,000$
12Jake WalmanX100.00643793698384806830675966526566050650251725,000$
13Braden Schneider (R)X100.007139866781839066306559645363650506502031,325,000$
14Dennis GilbertX100.00733876598469755830605663516668050610241750,000$
15Dillon SimpsonX100.00723893578169895630575658486974050610281650,000$
16Josh JacobsX100.00713986588069755730565361506667050600251750,000$
17Kaedan KorczakX100.00673382598479715830575565506163050600203905,000$
18Artemi Kniazev (R)X100.00613980606879835830575659516263050600203905,000$
Rayé
1Pavel GogolevX100.00633792607271625862596056596264050600213834,167$
2Blade JenkinsX100.00673795557667735452535658576264050590212803,333$
3Jonathan GrudenX100.00613474576972815659575853576264050590212802,500$
4Marcus Vela (R)X100.00713774558073705461535658546567050590241650,000$
5Philippe Daoust (R)X100.00563692566569625568595153576163050570204821,667$
6Nick Cicek (R)X100.00754368588468815730625459476264050600213835,000$
7Gianni Fairbrother (R)X100.00644557547363605430575254466264050560213903,333$
MOYENNE D’ÉQUIPE100.0068388360777777595060586056646605061
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
1Evan Fitzpatrick100.0074646585737274737274736471050640231750,000$
2David Tendeck (R)100.0067656672666567666567666369050600212783,333$
Rayé
1Hugo Alnefelt (R)100.0065727376646365646365646165050590203925,000$
MOYENNE D’ÉQUIPE100.006967687868676968676968636805061
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
1Mattias SamuelssonRoadrunners (ARI)D501650662039513692109568414.68%78127425.4937103595011077100.00%000001.0400010732
2Matias MaccelliRoadrunners (ARI)LW5027295632160651012687718110.07%9104820.9713430910003434250.00%7600021.0702000333
3Jean-Sebastien DeaRoadrunners (ARI)C502023431660291091374211314.60%569513.9000000000003159.98%80200001.2400000200
4Braden SchneiderRoadrunners (ARI)D506374319120109769434696.38%68124124.822683192000084000.00%000000.6900000231
5Liam FoudyRoadrunners (ARI)C/LW/RW501625416001681181521358.84%790018.014610251011012623059.20%12500000.9118000112
6Lane PedersonRoadrunners (ARI)C501523383230091122154351069.74%1297219.453252092000002358.96%115000000.7805000131
7Dryden HuntRoadrunners (ARI)LW/RW501522371036019164188461397.98%11116923.39224181000002943154.05%7400000.6318000132
8Jake WalmanRoadrunners (ARI)D50829371418040378226499.76%6197319.472682995000287200.00%000000.7600000101
9Joey AndersonRoadrunners (ARI)RW50162137316058631595512810.06%10107321.4722416920003921347.57%26700000.6901000122
10Sam PoulinRoadrunners (ARI)LW50162137168065541403711111.43%884016.8033613690001423050.60%24900000.8800000203
11Sampo RantaRoadrunners (ARI)LW501219311423560581203210010.00%996919.3900000000023053.97%6300000.6400100114
12Dennis GilbertRoadrunners (ARI)D507192620140865042193616.67%5087017.4100016000091000.00%000000.6000000023
13David CottonRoadrunners (ARI)C5088163100427476194110.53%683116.6400002000051053.85%102500000.3800000101
14Dillon SimpsonRoadrunners (ARI)D5038112210053394814246.25%6089017.800001287000116000.00%000000.2500000011
15Josh JacobsRoadrunners (ARI)D46281061004921287147.14%3474016.100110200004000.00%000000.2700000000
16Jacob PetersonCoyotesC/LW13448-12010495317397.55%232224.821236290001221055.33%34700000.5003000111
17Andrew PeekeCoyotesD4235540116206810.00%59924.971019900005000.00%000001.0000000010
18Pavel GogolevRoadrunners (ARI)LW30011-200013110.00%0371.2501103000010083.33%600000.5300000000
19Cedric PareRoadrunners (ARI)C44011-100100100.00%0180.410000100000000.00%200001.1000000000
20Kaedan KorczakRoadrunners (ARI)D20000000000000.00%020.110000000000000.00%000000.00%00000000
21Artemi KniazevRoadrunners (ARI)D26000000000000.00%130.140000000000000.00%000000.00%00000000
22Marcus VelaRoadrunners (ARI)C11000000000000.00%000.070000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne89419335154426224410111210971902576137810.15%4361497616.7524416524597311215735271056.07%418600020.73227110242427
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
1Adin HillCoyotes2815850.9122.44167202687770110.61513280210
2Evan FitzpatrickRoadrunners (ARI)2313720.9072.92131662646860000.818112228220
3David TendeckRoadrunners (ARI)20000.9303.2156003430000.00%0022000
Statistiques d’équipe totales ou en moyenne53281570.9102.6630446413515060110.708245050430


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Artemi KniazevRoadrunners (ARI)D202001-01-04Yes178 Lbs5 ft11NoNoNo3Pro & Farm905,000$0$0$No905,000$905,000$Lien NHL
Blade JenkinsRoadrunners (ARI)LW212000-08-11No195 Lbs6 ft1NoNoNo2Pro & Farm803,333$0$0$No803,333$Lien / Lien NHL
Braden SchneiderRoadrunners (ARI)D202001-09-20Yes202 Lbs6 ft2NoNoNo3Pro & Farm1,325,000$0$0$No1,325,000$1,325,000$Lien NHL
Cedric PareRoadrunners (ARI)C221999-01-24Yes205 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
David CottonRoadrunners (ARI)C241997-07-09No200 Lbs6 ft2NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
David TendeckRoadrunners (ARI)G211999-11-25Yes173 Lbs6 ft1NoNoNo2Pro & Farm783,333$0$0$No783,333$Lien NHL
Dennis GilbertRoadrunners (ARI)D241996-10-30No216 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dillon SimpsonRoadrunners (ARI)D281993-02-10No204 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Dryden HuntRoadrunners (ARI)LW/RW251995-11-24No192 Lbs6 ft0NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Evan FitzpatrickRoadrunners (ARI)G231998-01-28No206 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Gianni FairbrotherRoadrunners (ARI)D212000-09-03Yes192 Lbs6 ft0NoNoNo3Pro & Farm903,333$0$0$No903,333$903,333$Lien NHL
Hugo AlnefeltRoadrunners (ARI)G202001-06-04Yes177 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Jake WalmanRoadrunners (ARI)D251996-02-20No215 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Jean-Sebastien DeaRoadrunners (ARI)C271994-02-08No168 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Joey AndersonRoadrunners (ARI)RW231998-06-19No207 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Jonathan GrudenRoadrunners (ARI)LW212000-05-04No172 Lbs6 ft0NoNoNo2Pro & Farm802,500$0$0$No802,500$Lien / Lien NHL
Josh JacobsRoadrunners (ARI)D251996-02-15No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Kaedan KorczakRoadrunners (ARI)D202001-01-29No202 Lbs6 ft3NoNoNo3Pro & Farm905,000$0$0$No905,000$905,000$Lien / Lien NHL
Lane PedersonRoadrunners (ARI)C241997-08-04No192 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Liam FoudyRoadrunners (ARI)C/LW/RW212000-02-04No187 Lbs6 ft2NoNoNo1Pro & Farm1,269,167$0$0$NoLien / Lien NHL
Marcus VelaRoadrunners (ARI)C241997-03-03Yes200 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Matias MaccelliRoadrunners (ARI)LW202000-10-14Yes176 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Mattias SamuelssonRoadrunners (ARI)D212000-03-14No227 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Nick CicekRoadrunners (ARI)D212000-05-29Yes201 Lbs6 ft3NoNoNo3Pro & Farm835,000$0$0$No835,000$835,000$Lien / Lien NHL
Pavel GogolevRoadrunners (ARI)LW212000-02-19No173 Lbs6 ft1NoNoNo3Pro & Farm834,167$0$0$No834,167$834,167$Lien / Lien NHL
Philippe DaoustRoadrunners (ARI)C202001-05-11Yes151 Lbs6 ft0NoNoNo4Pro & Farm821,667$0$0$No821,667$821,667$821,667$Lien NHL
Sam PoulinRoadrunners (ARI)LW202001-02-25Yes208 Lbs6 ft1NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien NHL
Sampo RantaRoadrunners (ARI)LW212000-05-31No195 Lbs6 ft2NoNoNo2Pro & Farm1,208,333$0$0$No1,208,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2822.25193 Lbs6 ft12.00868,631$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntDavid CottonLiam Foudy30122
2Matias MaccelliLane PedersonJoey Anderson30122
3Sam PoulinJean-Sebastien DeaSampo Ranta20122
4Sampo RantaDavid CottonDryden Hunt20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh JacobsMattias Samuelsson30122
2Braden SchneiderJake Walman30122
3Dillon SimpsonDennis Gilbert20122
4Braden SchneiderMattias Samuelsson20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntSam PoulinLiam Foudy60122
2Matias MaccelliLane PedersonJoey Anderson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon SimpsonMattias Samuelsson60122
2Braden SchneiderJake Walman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joey AndersonDryden Hunt60122
2Liam FoudyMatias Maccelli40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis GilbertMattias Samuelsson60122
2Braden SchneiderJake Walman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matias Maccelli60122Dennis GilbertMattias Samuelsson60122
2Dryden Hunt40122Braden SchneiderJake Walman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam PoulinDryden Hunt60122
2Liam FoudyMatias Maccelli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon SimpsonMattias Samuelsson60122
2Braden SchneiderJake Walman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntMatias MaccelliLiam FoudyBraden SchneiderMattias Samuelsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntMatias MaccelliLiam FoudyBraden SchneiderMattias Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dryden Hunt, Matias Maccelli, Sam PoulinDryden Hunt, Matias MaccelliSam Poulin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Simpson, Dennis Gilbert, Braden SchneiderDillon SimpsonDennis Gilbert, Braden Schneider
Tirs de pénalité
Lane Pederson, Dryden Hunt, Liam Foudy, Matias Maccelli, Joey Anderson
Gardien
#1 : Evan Fitzpatrick, #2 : David Tendeck


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
1Admirals11000000734000000000001100000073421.000714210081505953360763462959207416000.00%000.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
2Americans210010001284100010004311100000085341.000122436008150595686076346295958172576233.33%10100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
3Barracuda211000009901010000035-21100000064220.500915240081505957360763462959832810507342.86%5260.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
4Bears210000017701000000145-11100000032130.75071320008150595936076346295964208379222.22%4175.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
5Bruins211000002201010000012-11100000010120.500246018150595556076346295950206457114.29%3166.67%01020174858.35%863159354.17%46484554.91%13589891057331632333
6Canucks11000000413000000000001100000041321.000471100815059559607634629592910216200.00%10100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
7Checkers220000001129110000007071100000042241.000112132018150595686076346295941161038300.00%30100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
8Comets1000000112-1000000000001000000112-110.50012300815059531607634629591754163133.33%20100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
9Condors11000000725000000000001100000072521.000712190081505955160763462959259227000.00%10100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
10Crunch11000000431000000000001100000043121.0004610008150595306076346295938812254125.00%6266.67%01020174858.35%863159354.17%46484554.91%13589891057331632333
11Eagles11000000853110000008530000000000021.0008122000815059557607634629593011223000.00%10100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
12Griffins22000000413110000002021100000021141.000481201815059561607634629594611446300.00%20100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
13Gulls20200000611-51010000026-41010000045-100.000610160081505955260763462959762518427114.29%8275.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
14IceHogs11000000707000000000001100000070721.00071320018150595356076346295943104155360.00%20100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
15Islanders2020000038-51010000014-31010000024-200.0003690081505955660763462959782017525240.00%6183.33%01020174858.35%863159354.17%46484554.91%13589891057331632333
16Marlies21000001660110000003211000000134-130.75061016008150595556076346295964166372150.00%3166.67%01020174858.35%863159354.17%46484554.91%13589891057331632333
17Monsters1000000112-1000000000001000000112-110.5001120081505953360763462959307220500.00%110.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
18Moose200010017701000000145-11000100032130.7507142100815059512660763462959621310423133.33%50100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
19Penguins2020000059-41010000024-21010000035-200.000510151081505955760763462959662212537114.29%5260.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
20Phantoms21000001963110000007341000000123-130.75091827008150595906076346295949156416116.67%20100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
21Reign2020000037-41010000012-11010000025-300.000358008150595426076346295951191042200.00%50100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
22Rocket2200000017314110000009271100000081741.00017324900815059513260763462959397834300.00%30100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
23Senators2110000035-2110000003121010000004-420.5003580081505957060763462959642410506116.67%5340.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
24Silver Knights30100011810-21010000013-22000001177030.500813210081505951076076346295999342871800.00%11281.82%01020174858.35%863159354.17%46484554.91%13589891057331632333
25Stars210010001266110000006151000100065141.0001222340081505951066076346295960121659100.00%7185.71%01020174858.35%863159354.17%46484554.91%13589891057331632333
26Thunderbirds1010000036-31010000036-30000000000000.00036900815059539607634629594310824200.00%3166.67%01020174858.35%863159354.17%46484554.91%13589891057331632333
27Wild21100000633000000000002110000063320.500610160081505956060763462959541613454125.00%30100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
28Wolf Pack211000004401010000023-11100000021120.50047110081505956060763462959711364811100.00%30100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
29Wolves1100000010370000000000011000000103721.0001017270081505955160763462959345619000.00%30100.00%11020174858.35%863159354.17%46484554.91%13589891057331632333
30Wranglers11000000826000000000001100000082621.0008142200815059552607634629592364222150.00%20100.00%01020174858.35%863159354.17%46484554.91%13589891057331632333
Total502415030171941435120890100273621130166020151218140630.630194351545148150595190260763462959150743625011121132421.24%1062081.13%11020174858.35%863159354.17%46484554.91%13589891057331632333
_Since Last GM Reset502415030171941435120890100273621130166020151218140630.630194351545148150595190260763462959150743625011121132421.24%1062081.13%11020174858.35%863159354.17%46484554.91%13589891057331632333
_Vs Conference241270201210670368340000127270169302011794336320.66710618629202815059596560763462959735216133535441022.73%56787.50%11020174858.35%863159354.17%46484554.91%13589891057331632333
_Vs Division105600011503020414000002117464200011291316130.650509114101815059545660763462959312795722415533.33%21290.48%01020174858.35%863159354.17%46484554.91%13589891057331632333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5063L419435154519021507436250111214
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5024153017194143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
208910027362
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30166201512181
Derniers 10 matchs
WLOTWOTL SOWSOL
342001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1132421.24%1062081.13%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
607634629598150595
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
1020174858.35%863159354.17%46484554.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13589891057331632333


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
7 - 2022-10-1311Roadrunners3Penguins5ALSommaire du match
9 - 2022-10-1527Roadrunners1Bruins0AWSommaire du match
11 - 2022-10-1740Roadrunners3Marlies4ALXXSommaire du match
14 - 2022-10-2060Roadrunners8Rocket1AWSommaire du match
16 - 2022-10-2277Roadrunners0Senators4ALSommaire du match
19 - 2022-10-2598Roadrunners1Monsters2ALXXSommaire du match
22 - 2022-10-28126Moose5Roadrunners4BLXXSommaire du match
24 - 2022-10-30141Wolf Pack3Roadrunners2BLSommaire du match
26 - 2022-11-01156Checkers0Roadrunners7BWSommaire du match
28 - 2022-11-03172Stars1Roadrunners6BWSommaire du match
30 - 2022-11-05179Roadrunners3Bears2AWSommaire du match
33 - 2022-11-08196Roadrunners8Americans5AWSommaire du match
35 - 2022-11-10216Roadrunners2Islanders4ALSommaire du match
37 - 2022-11-12227Roadrunners1Comets2ALXXSommaire du match
38 - 2022-11-13240Roadrunners2Wolf Pack1AWSommaire du match
42 - 2022-11-17270Roadrunners3Silver Knights4ALXXSommaire du match
46 - 2022-11-21297Roadrunners7Admirals3AWSommaire du match
48 - 2022-11-23304Roadrunners10Wolves3AWSommaire du match
50 - 2022-11-25325Roadrunners2Griffins1AWSommaire du match
52 - 2022-11-27341Roadrunners1Wild2ALSommaire du match
56 - 2022-12-01375Roadrunners2Reign5ALSommaire du match
58 - 2022-12-03388Roadrunners4Canucks1AWSommaire du match
60 - 2022-12-05401Roadrunners8Wranglers2AWSommaire du match
62 - 2022-12-07416Roadrunners7Condors2AWSommaire du match
64 - 2022-12-09431Bruins2Roadrunners1BLSommaire du match
66 - 2022-12-11445Phantoms3Roadrunners7BWSommaire du match
68 - 2022-12-13465Roadrunners6Barracuda4AWSommaire du match
71 - 2022-12-16483Islanders4Roadrunners1BLSommaire du match
72 - 2022-12-17492Americans3Roadrunners4BWXSommaire du match
74 - 2022-12-19508Rocket2Roadrunners9BWSommaire du match
76 - 2022-12-21523Roadrunners4Silver Knights3AWXXSommaire du match
78 - 2022-12-23543Reign2Roadrunners1BLSommaire du match
82 - 2022-12-27554Eagles5Roadrunners8BWSommaire du match
84 - 2022-12-29572Marlies2Roadrunners3BWSommaire du match
86 - 2022-12-31583Roadrunners4Crunch3AWSommaire du match
89 - 2023-01-03598Roadrunners4Checkers2AWSommaire du match
91 - 2023-01-05612Roadrunners2Phantoms3ALXXSommaire du match
92 - 2023-01-06625Roadrunners7IceHogs0AWSommaire du match
94 - 2023-01-08640Penguins4Roadrunners2BLSommaire du match
96 - 2023-01-10657Barracuda5Roadrunners3BLSommaire du match
98 - 2023-01-12672Senators1Roadrunners3BWSommaire du match
100 - 2023-01-14685Roadrunners5Wild1AWSommaire du match
101 - 2023-01-15693Roadrunners3Moose2AWXSommaire du match
103 - 2023-01-17710Griffins0Roadrunners2BWSommaire du match
105 - 2023-01-19726Bears5Roadrunners4BLXXSommaire du match
107 - 2023-01-21740Roadrunners6Stars5AWXSommaire du match
108 - 2023-01-22750Silver Knights3Roadrunners1BLSommaire du match
110 - 2023-01-24763Gulls6Roadrunners2BLSommaire du match
112 - 2023-01-26778Thunderbirds6Roadrunners3BLSommaire du match
114 - 2023-01-28796Roadrunners4Gulls5ALSommaire du match
123 - 2023-02-06812Wild-Roadrunners-
127 - 2023-02-10830Roadrunners-IceHogs-
128 - 2023-02-11842Roadrunners-Thunderbirds-
130 - 2023-02-13851Roadrunners-Admirals-
132 - 2023-02-15865Crunch-Roadrunners-
135 - 2023-02-18892Roadrunners-Reign-
136 - 2023-02-19901Monsters-Roadrunners-
139 - 2023-02-22919Wranglers-Roadrunners-
143 - 2023-02-26953Admirals-Roadrunners-
145 - 2023-02-28966IceHogs-Roadrunners-
146 - 2023-03-01970Roadrunners-Stars-
148 - 2023-03-03986Wolves-Roadrunners-
150 - 2023-03-051004Comets-Roadrunners-
152 - 2023-03-071020Thunderbirds-Roadrunners-
154 - 2023-03-091034Admirals-Roadrunners-
156 - 2023-03-111041Roadrunners-Eagles-
157 - 2023-03-121059Wild-Roadrunners-
159 - 2023-03-141072Wranglers-Roadrunners-
161 - 2023-03-161088Canucks-Roadrunners-
163 - 2023-03-181106IceHogs-Roadrunners-
166 - 2023-03-211128Roadrunners-Moose-
167 - 2023-03-221134Roadrunners-Condors-
169 - 2023-03-241149Roadrunners-Eagles-
171 - 2023-03-261165Eagles-Roadrunners-
172 - 2023-03-271175Condors-Roadrunners-
176 - 2023-03-311203Stars-Roadrunners-
177 - 2023-04-011215Barracuda-Roadrunners-
179 - 2023-04-031228Roadrunners-Firebirds-
182 - 2023-04-061253Roadrunners-Firebirds-
184 - 2023-04-081260Gulls-Roadrunners-
186 - 2023-04-101283Firebirds-Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131311Canucks-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
-11 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,585,049$ 2,432,166$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,585,049$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 12,869$ 952,306$




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
Saison régulière
482412502266276206704122130022213410133411912020441421053710627650778303010996632952095098399124357201436185261611518.67%58210981.27%21766323754.56%1508292851.50%682124754.69%2131145818256291027535
5824324031742661986841231402020137107304120100115412991381112664707361100999562306101080959986218664336317682185525.23%1392681.29%41714292158.68%1198229452.22%704128154.96%229317051689525999533
6825817001243221961264130700112163937041281000012159103561253225819031601281167635670117611841196248472756722212164721.76%2633487.07%31899330957.39%1460272953.50%734131955.65%2253163316715441026550
782452303344324220104412310032121671076041221300132157113441113245738971701311068036700123311451258276282550120712305423.48%2214679.19%01950329759.14%1592303152.52%702129554.21%216415831805553996511
88253160106640017722341278010232008511541268000432009210812640072211221901661299839800124914041287239171536718821813519.34%1653479.39%42003328660.96%1488259757.30%797134659.21%240118181597507985532
98238320205534426282412012010352011366541182001020143126179534462697002011811610332780104011131091279584849118821854021.62%2113782.46%21796305958.71%1581288354.84%786140655.90%2143154917975571033536
108244230325534524210341231002123179122574121130113216612046111345616961151351198311335110931152107368280072041819131773620.34%1793779.33%01809314957.45%1613295354.62%810137758.82%2138157018375441001511
1150241503017194143512089010027362113016602015121814063194351545148150595190260763462959150743625011121132421.24%1062081.13%11020174858.35%863159354.17%46484554.91%13589891057331632333
Total Saison régulière6243461750179364124711644827307176830106131912548134413171709207323221217831386848247144466917646216920800498257611700851484906936193605634439314701193640620.97%186634381.62%16139572400658.14%113032100853.80%56791011656.14%168841230813282419377024045
Séries éliminatoires
46240000013130321000009633030000047-341321340006251790824255178409512346817.39%38781.58%010723146.32%9121741.94%357546.67%13891146487436
513760000045341164200000211387340000024213144578123000221012461013714013736413283283862326.74%301066.67%030952059.42%24641758.99%12420560.49%37827031410518396
640400000716-92020000018-72020000068-2071320000232137045375413741248818211.11%10460.00%07815251.32%7415348.37%225540.00%996693335227
7514000001219-730300000512-72110000077021221330002821570505651235794210419421.05%20670.00%07917245.93%8823138.10%418448.81%10572133366228
823167000007356171293000004028121174000003328532731322050302517298730279289278835239142527711622.54%641478.13%043188448.76%45388950.96%19735855.03%559390575175300149
9171070000053485853000002926395400000242222053981510001917156050181191204647186109397741114.86%461078.26%130564747.14%31967147.54%12325548.24%406277434131225111
10404000001118-720200000810-22020000038-50112132003350151435250614336229712325.00%10460.00%08014854.05%8415853.16%296147.54%9464105335526
Total Séries éliminatoires7236360000021420410362016000001131031036162000000101101072214384598033796265256343826805785253975351716193266720.55%2185574.77%11389275450.44%1355273649.52%571109352.24%178112331803564954476