Roadrunners
GP: 12 | W: 6 | L: 6
GF: 41 | GA: 43 | PP%: 27.27% | PK%: 82.93%
DG: Mathieu Roy | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Roadrunners
6-6-0, 12pts
3
FINAL
4 Stars
8-7-0, 16pts
Team Stats
L2StreakL4
4-2-0Home Record5-3-0
2-4-0Away Record3-4-0
4-5-1Last 10 Games4-6-0
3.42Buts par match 4.00
3.58Buts contre par match 3.93
27.27%Pourcentage en avantage numérique24.00%
82.93%Pourcentage en désavantage numérique70.73%
Stars
8-7-0, 16pts
4
FINAL
1 Roadrunners
6-6-0, 12pts
Team Stats
L4StreakL2
5-3-0Home Record4-2-0
3-4-0Away Record2-4-0
4-6-0Last 10 Games4-5-1
4.00Buts par match 3.42
3.93Buts contre par match 3.58
24.00%Pourcentage en avantage numérique27.27%
70.73%Pourcentage en désavantage numérique82.93%
Meneurs d'équipe
Victoires
Joel Blomqvist
6
Leevi MerilainenPourcentage d’arrêts
Leevi Merilainen
0.923

Statistiques d’équipe
Buts pour
41
3.42 GFG
Tirs pour
426
35.50 Avg
Pourcentage en avantage numérique
27.3%
9 GF
Début de zone offensive
41.1%
Buts contre
43
3.58 GAA
Tirs contre
403
33.58 Avg
Pourcentage en désavantage numérique
82.9%
7 GA
Début de la zone défensive
39.7%
Information d’équipe

Directeur généralMathieu Roy
EntraîneurBenoit Groulx
DivisionCentral Division
ConférenceWestern Conference
CapitaineJonny Brodzinski
Assistant #1Henry Thrun
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,909
Billets de saison300


Information formation

Équipe Pro33
Équipe Mineure19
Limite contact 52 / 80
Espoirs35


Historique d'équipe

Saison actuelle6-6
Historique46-32-6 (0.548%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)6-6
Stanley Cup0


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 moyen
1Denis Gurianov26XX100.00733995708487816865676664716970075670271795,000$
2Arthur Kaliyev34XX100.006636936782798071506869627063640756602311,096,000$
3Brett Leason (R)22XXX100.00693993669380836557606476636566075660253909,000$
4Jonny Brodzinski (C)76XXX100.00663886677582866880696763687172075660312999,999$
5Filip Zadina27X100.00663692707282796753626861706668075650241961,200$
6A.J. Greer12X100.00757167668573826162596063586869075630273999,999$
7Brad Lambert (R)19XX100.00603882657289746470665862656163075620202950,000$
8Aidan McDonough (R)25X100.00703894578175715966536156586567075610243950,000$
9Oskar Olausson (R)72XXX100.00653884597383795756585961566264075610212950,000$
10Wyatt Bongiovanni74X100.00643982607380795956556257616567075610252750,000$
11Samuel Morton16X100.00623791627185615860546457626567075610253999,999$
12Simon Nemec (R)7X100.00643987717588866930685966526061075650202950,000$
13Henry Thrun (R) (A)3X100.00663890677888746530665969516365075640233950,000$
14Michael Kesselring (R)0X100.00744572668485866430686061526465075640243750,000$
15Matthew Kessel (R)51X100.00703980668184886330645865496466075640241950,000$
16Shakir Mukhamadullin (R)44X100.00723885648287726330675665496264075630222950,000$
17Ville Heinola4X100.00643977657382786430655758506365075620232879,700$
18Akito Hirose28X100.00633693616880675730635864506567075610253750,000$
19Santtu Kinnunen (R)65X100.00653889587475865630595455476567075600252950,000$
Rayé
1Jacob Perreault (R)63X100.00624268607176775960585756596264075600222750,000$
2Brandon Baddock95X100.00788058548766845250535156526971075590291760,000$
3Adam Sykora (R)14XX100.00583595576675725458565553596163075580203950,000$
4Shawn Element (R)62X100.00644460567376815561545753586466075580241950,000$
5Joseph Cecconi (R)52X100.00734274578267805630555258456769075600271750,000$
6Helge Grans (R)55X100.00784087588769815630545257456264075600221950,000$
7Nate Clurman84X100.00724082568165775530545257456668075590262750,000$
8Wyatt Aamodt77X100.00664075557567815330565457466769075590261750,000$
9Christoffer Sedoff8X100.00693987567866685430575058456264075580223999,999$
10Luke Krys54X100.00684271567768615530535457456466075580243999,999$
11Alex Kannok-Leipert69X100.00737766537263755130525054456466075570241750,000$
MOYENNE D’ÉQUIPE100.0068438262787778604560586055646607562
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 moyen
1Joel Blomqvist (R)100.0074797577737274737274736267075640223950,000$
2Leevi Merilainen (R)100.0075767172747375747375746267075640222950,000$
Rayé
1Dylan Wells (R)100.0071777378706971706971706675075630262999,999$
MOYENNE D’ÉQUIPE100.007377737672717372717372637007564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx77647165868164CAN562500,000$


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
1Jonny BrodzinskiRoadrunners (UTA)C/LW/RW125813-412016435414319.26%224020.0513410260000190156.12%29400001.0800000011
2Denis GurianovRoadrunners (UTA)LW/RW125712-14027175816428.62%532026.6922410270001421052.63%1900000.7500000101
3Filip ZadinaRoadrunners (UTA)RW125712340131438122213.16%325020.85022427000001025.00%1600000.9600000011
4Brett LeasonRoadrunners (UTA)C/LW/RW12471140023465020288.00%729624.690227270000411042.82%43900000.7400000001
5Arthur KaliyevRoadrunners (UTA)LW/RW124610-4001423487278.33%224420.342248260002220044.44%1800000.8200000100
6Brad LambertRoadrunners (UTA)C/RW12257060713327286.25%418215.2200000000020050.00%1800000.7700000011
7Shakir MukhamadullinRoadrunners (UTA)D121670602011105810.00%1219416.1910137000013000.00%000000.7200000100
8Simon NemecRoadrunners (UTA)D10257-48019191881111.11%1325825.85224924000030000.00%000000.5400000002
9Ville HeinolaRoadrunners (UTA)D121671601210103310.00%817014.230000000001000.00%000100.8200000100
10Matthew KesselRoadrunners (UTA)D121671201824138117.69%2227623.00123525000033100.00%000000.5100000000
11Henry ThrunRoadrunners (UTA)D12246-52019191361615.38%2228423.74000424000035000.00%000000.4200000001
12Oskar OlaussonRoadrunners (UTA)C/LW/RW12235-820169216189.52%425421.230225260000101050.00%3000000.3900000010
13Aidan McDonoughRoadrunners (UTA)LW113141205131841116.67%317115.5500000000051050.99%20200000.4700000010
14A.J. GreerRoadrunners (UTA)LW12224112025142213179.09%417914.9400000000000120.00%1000000.4500000100
15Michael KesselringRoadrunners (UTA)D121232140379156116.67%1825521.29000924000026000.00%000000.2300000000
16Akito HiroseRoadrunners (UTA)D12011-260442010.00%4655.480000200002000.00%000000.3000000000
17Wyatt BongiovanniRoadrunners (UTA)C12101-4002330033.33%1423.5600000000000052.73%5500000.4700000000
18Santtu KinnunenRoadrunners (UTA)D11000-100001100.00%130.280001000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne2124176117-208602772914261362859.62%135369017.41917267527300032876248.41%110100100.6300000558
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
1Joel BlomqvistRoadrunners (UTA)126410.8893.5166720393510000.0000120010
2Leevi MerilainenRoadrunners (UTA)30100.9232.7986004520000.0000012000
Statistiques d’équipe totales ou en moyenne156510.8933.4275420434030000.00001212010


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 Salaire restantSalaire moyenSalaire moyen restantPlafond 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
A.J. GreerRoadrunners (UTA)LW271996-12-14No209 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Adam SykoraRoadrunners (UTA)C/LW202004-09-07Yes179 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Aidan McDonoughRoadrunners (UTA)LW241999-11-06Yes190 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Akito HiroseRoadrunners (UTA)D251999-04-09No170 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Alex Kannok-LeipertRoadrunners (UTA)D242000-07-20No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Arthur Kaliyev (contrat à 1 volet)Roadrunners (UTA)LW/RW232001-06-26No210 Lbs6 ft2NoNoNo1Pro & Farm1,096,000$1,096,000$1,096,000$0$NoLien / Lien NHL
Brad LambertRoadrunners (UTA)C/RW202003-12-19Yes173 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Brandon BaddockRoadrunners (UTA)LW291995-03-29No218 Lbs6 ft3NoNoNo1Pro & Farm760,000$760,000$0$0$NoLien / Lien NHL
Brett LeasonRoadrunners (UTA)C/LW/RW251999-04-30Yes218 Lbs6 ft5NoNoNo3Pro & Farm909,000$909,000$0$0$No909,000$909,000$Lien / Lien NHL
Christoffer SedoffRoadrunners (UTA)D222002-02-20No201 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Denis GurianovRoadrunners (UTA)LW/RW271997-06-07No205 Lbs6 ft3NoNoNo1Pro & Farm795,000$795,000$0$0$NoLien / Lien NHL
Dylan WellsRoadrunners (UTA)G261998-01-03Yes190 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Filip ZadinaRoadrunners (UTA)RW241999-11-27No190 Lbs6 ft0NoNoNo1Pro & Farm961,200$961,200$0$0$NoLien / Lien NHL
Helge GransRoadrunners (UTA)D222002-05-10Yes205 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Henry ThrunRoadrunners (UTA)D232001-03-12Yes190 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Jacob PerreaultRoadrunners (UTA)RW222002-04-15Yes192 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Joel BlomqvistRoadrunners (UTA)G222002-01-10Yes183 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jonny BrodzinskiRoadrunners (UTA)C/LW/RW311993-06-19No204 Lbs6 ft0NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Joseph CecconiRoadrunners (UTA)D271997-05-23Yes210 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Leevi MerilainenRoadrunners (UTA)G222002-08-13Yes158 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Luke KrysRoadrunners (UTA)D242000-09-27No185 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Matthew KesselRoadrunners (UTA)D242000-06-23Yes205 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Michael KesselringRoadrunners (UTA)D242000-01-13Yes190 Lbs6 ft4NoNoNo3Pro & Farm750,000$750,000$0$0$No1,345,000$1,345,000$Lien / Lien NHL
Nate ClurmanRoadrunners (UTA)D261998-05-08No205 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Oskar OlaussonRoadrunners (UTA)C/LW/RW212002-11-10Yes180 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Samuel MortonRoadrunners (UTA)C251999-07-28No185 Lbs6 ft0NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Santtu KinnunenRoadrunners (UTA)D251999-03-25Yes154 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Shakir MukhamadullinRoadrunners (UTA)D222002-01-10Yes178 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Shawn ElementRoadrunners (UTA)C242000-04-23Yes192 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Simon NemecRoadrunners (UTA)D202004-02-15Yes190 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Ville HeinolaRoadrunners (UTA)D232001-03-02No185 Lbs6 ft1NoNoNo2Pro & Farm879,700$879,700$0$0$No879,700$Lien / Lien NHL
Wyatt AamodtRoadrunners (UTA)D261997-11-22No201 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Wyatt BongiovanniRoadrunners (UTA)C251999-07-24No194 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.06192 Lbs6 ft22.03901,542$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovBrett LeasonFilip Zadina40122
2Arthur KaliyevJonny BrodzinskiOskar Olausson30122
3A.J. GreerAidan McDonoughBrad Lambert20122
4Denis GurianovWyatt BongiovanniOskar Olausson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Akito HiroseSimon Nemec40122
2Michael KesselringMatthew Kessel30122
3Shakir MukhamadullinVille Heinola20122
4Matthew KesselMichael Kesselring10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovBrett LeasonFilip Zadina60122
2Arthur KaliyevJonny BrodzinskiOskar Olausson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinSimon Nemec60122
2Michael KesselringMatthew Kessel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett LeasonDenis Gurianov60122
2Jonny BrodzinskiArthur Kaliyev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinVille Heinola60122
2Michael KesselringMatthew Kessel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Leason60122Shakir MukhamadullinSimon Nemec60122
2Jonny Brodzinski40122Michael KesselringMatthew Kessel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett LeasonDenis Gurianov60122
2Jonny BrodzinskiArthur Kaliyev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaShakir Mukhamadullin60122
2Michael KesselringMatthew Kessel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovBrett LeasonFilip ZadinaMatthew KesselSimon Nemec
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovBrett LeasonJonny BrodzinskiMatthew KesselSimon Nemec
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Olausson, Filip Zadina, A.J. GreerOskar Olausson, Filip ZadinaOskar Olausson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Kessel, Shakir Mukhamadullin, Ville HeinolaMatthew KesselMatthew Kessel, Shakir Mukhamadullin
Tirs de pénalité
Denis Gurianov, Brett Leason, Jonny Brodzinski, Arthur Kaliyev, Oskar Olausson
Gardien
#1 : Joel Blomqvist, #2 : Leevi Merilainen
Lignes d’attaque personnalisées en prolongation
Denis Gurianov, Brett Leason, Jonny Brodzinski, Arthur Kaliyev, Oskar Olausson, Filip Zadina, Filip Zadina, A.J. Greer, Brad Lambert, Aidan McDonough, Wyatt Bongiovanni
Lignes de défense personnalisées en prolongation
Ville Heinola, Simon Nemec, Michael Kesselring, Matthew Kessel, Shakir Mukhamadullin


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
1Silver Knights642000001817133000000116531200000711-480.6671834520018814120714512613619180644013317423.53%20290.00%022545249.78%20643747.14%10221248.11%2972072939216380
2Stars624000002326-3312000001012-2312000001314-140.3332342650018814121914512613619223714814416531.25%21576.19%022545249.78%20643747.14%10221248.11%2972072939216380
Total1266000004143-26420000021183624000002025-5120.500417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380
_Since Last GM Reset1266000004143-26420000021183624000002025-5120.500417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380
_Vs Conference1266000004143-26420000021183624000002025-5120.500417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380
_Vs Division624000002326-3312000001012-2312000001314-140.3332342650018814121914512613619223714814416531.25%21576.19%022545249.78%20643747.14%10221248.11%2972072939216380

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1212L241761174264031358827700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126600004143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200002118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62400002025
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33927.27%41782.93%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
14512613619188141
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
22545249.78%20643747.14%10221248.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2972072939216380


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
2 - 2025-04-258Silver Knights1Roadrunners4BWSommaire du match
4 - 2025-04-2716Silver Knights3Roadrunners4BWSommaire du match
6 - 2025-04-2924Roadrunners2Silver Knights4ALSommaire du match
8 - 2025-05-0132Roadrunners2Silver Knights5ALSommaire du match
10 - 2025-05-0340Silver Knights2Roadrunners3BWXSommaire du match
12 - 2025-05-0548Roadrunners3Silver Knights2AWSommaire du match
15 - 2025-05-0859Roadrunners5Stars3AWSommaire du match
16 - 2025-05-0963Roadrunners5Stars7ALSommaire du match
17 - 2025-05-1067Stars5Roadrunners4BLXSommaire du match
18 - 2025-05-1171Stars3Roadrunners5BWSommaire du match
19 - 2025-05-1275Roadrunners3Stars4ALSommaire du match
20 - 2025-05-1379Stars4Roadrunners1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3122
Assistance12,0005,456
Assistance PCT100.00%90.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 2909 - 96.98% 102,507$615,040$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,865,490$ 2,865,490$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Roadrunners Leaders statistiques (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
1Brett Leason82393473-62012723337710.34%47186522.756101667112104447.17%20.7803
2Denis Gurianov77304272-13216817028710.45%14176622.9459144611265050.71%00.8213
3Jonny Brodzinski742543681222971952649.47%11129717.5465113200052357.16%01.0502
4Arthur Kaliyev773727641467012931611.71%20147019.0977145500049345.39%00.8712
5Henry Thrun81115061-5271181151338.27%108180322.2761521670000210.00%00.6800

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
1Joel Blomqvist56292040.9062.9931724115816880200.70010
2Leevi Merilainen32171200.8973.491771001039960231.0006

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
Saison régulière
20248238320533128826523412016022101461252141181603121142140296288502790311059778112963955946103048268782455219922745720.80%2325476.72%21576311150.66%1412289548.77%670138448.41%2052144218455951054534
Total Saison régulière8238320533128826523412016022101461252141181603121142140296288502790311059778112963955946103048268782455219922745720.80%2325476.72%21576311150.66%1412289548.77%670138448.41%2052144218455951054534
20241266000004143-26420000021183624000002025-512417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380
Total Séries éliminatoires1266000004143-26420000021183624000002025-512417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380

Roadrunners Leaders statistiques (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
1Jonny Brodzinski125813-4121643549.26%224020.051341000000156.12%01.0800
2Filip Zadina1257123413143813.16%325020.85022400001025.00%00.9600
3Denis Gurianov125712-142717588.62%532026.692241000011052.63%00.7500
4Brett Leason124711402346508.00%729624.69022700001042.82%00.7400
5Arthur Kaliyev124610-401423488.33%224420.34224800020044.44%00.8200

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
1Joel Blomqvist126410.8893.5166720393510000.0000
2Leevi Merilainen30100.9232.7986004520000.0000