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Roadrunners
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 12 | GA: 13 | PP%: 46.67% | PK%: 58.33%
DG: NFHL | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #67 vs White Wolves

Centre de jeu
Gorillas
3-1-0, 6pts
4
FINAL
6 Roadrunners
1-2-0, 2pts
Team Stats
W2SéquenceL1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-1-0
3-1-0Derniers 10 matchs1-2-0
5.00Buts par match 4.00
4.50Buts contre par match 4.33
33.33%Pourcentage en avantage numérique46.67%
63.16%Pourcentage en désavantage numérique58.33%
Bills
2-1-0, 4pts
6
FINAL
4 Roadrunners
1-2-0, 2pts
Team Stats
W2SéquenceL1
1-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-1-0
2-1-0Derniers 10 matchs1-2-0
5.67Buts par match 4.00
5.00Buts contre par match 4.33
30.00%Pourcentage en avantage numérique46.67%
41.67%Pourcentage en désavantage numérique58.33%
White Wolves
1-2-1, 3pts
Jour 9
Roadrunners
1-2-0, 2pts
Statistiques d’équipe
L2SéquenceL1
0-1-1Fiche domicile1-1-0
1-1-0Fiche visiteur0-1-0
1-2-110 derniers matchs1-2-0
4.75Buts par match 4.00
5.00Buts contre par match 4.00
33.33%Pourcentage en avantage numérique46.67%
66.67%Pourcentage en désavantage numérique58.33%
Roadrunners
1-2-0, 2pts
Jour 13
Crunch
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW2
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-2-010 derniers matchs2-1-0
4.00Buts par match 3.67
4.33Buts contre par match 3.67
46.67%Pourcentage en avantage numérique40.00%
58.33%Pourcentage en désavantage numérique55.56%
Blood Miners
0-3-0, 0pts
Jour 14
Roadrunners
1-2-0, 2pts
Statistiques d’équipe
L3SéquenceL1
0-1-0Fiche domicile1-1-0
0-2-0Fiche visiteur0-1-0
0-3-010 derniers matchs1-2-0
2.33Buts par match 4.00
5.00Buts contre par match 4.00
18.18%Pourcentage en avantage numérique46.67%
66.67%Pourcentage en désavantage numérique58.33%
Meneurs d'équipe
Buts
Jere Innala
3
Passes
Anton Blidh
3
Points
Anton Blidh
5
Plus/Moins
Anton Blidh
1
Victoires
Nathaniel Day
1
Pourcentage d’arrêts
Matthew Murray
0.927

Statistiques d’équipe
Buts pour
12
4.00 GFG
Tirs pour
81
27.00 Avg
Pourcentage en avantage numérique
46.7%
7 GF
Début de zone offensive
36.2%
Buts contre
13
4.33 GAA
Tirs contre
124
41.33 Avg
Pourcentage en désavantage numérique
58.3%%
5 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralNFHL
EntraîneurJeremy Colliton
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance8,000
Billets de saison800


Informations de la formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 65
Espoirs18


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
1Andrew AgozzinoXX100.0060606060607070606060606060757509700332785,000$
2Nick RitchieXX100.00606060606070706060606060606061097002913,250,000$
3Danila KlimovichX100.00606060606070706060606060605859098002111,312,500$
4Anton BlidhXX100.0060606060607070606060606060596709700292700,000$
5Justin HryckowianX100.0064509172737593657467646865465909700232682,500$
6Jere InnalaXX100.0062509270697589686168696865566009400261650,000$
7Adam ErneXX100.00606060606070706060606060605965094002931,100,000$
8John HaydenX100.0068568869847590697070697265556009700292800,000$
9Brendan BrissonX100.00625088667576926561666467654358097002311,312,500$
10Joe MillerX100.0060606060607070606060606060405509701221650,000$
11Kalan LindXX100.00606060606070706060606060604055097011921,250,000$
12Easton CowanXXX100.00606060606070706060606060604055097011921,250,000$
13Yan KuznetsovX100.00606060606070706060606060605361097002211,312,500$
14Jack AhcanX100.00645093726782926325666172655869097002731,250,000$
15Alexander AlexeyevX100.0071509466818072682565657365546209700251950,000$
16Spencer StastneyX100.00635094737083847025676574655058097002421,200,000$
17Wyatt AamodtX100.00735089657684926125626173654956097002721,000,000$
18Adam Jiricek (R)X100.00606060606070706060606060604455097001831,500,000$
Rayé
1Matthew DiMarsicoX100.0060606060607070606060606060445709600203650,000$
2Martin MisiakXX100.0060606060607070606060606060405509601202975,000$
3Denver BarkeyX100.0060606060607070606060606060405509601192825,000$
4Jack MusaXXX100.0060606060607070606060606060405509600212725,000$
5Danila Yurov (R)XX100.00606060606070706060606060605055096002121,500,000$
6CJ FoleyX100.0060606060607070606060606060445709600203650,000$
7Calen AddisonX100.00606060606070706060606060605662096002411,750,000$
8Simon MackX100.0060606060607070606060606060405509600231650,000$
9Carter Yakemchuk (R)X100.00606060606070706060606060604655096001931,500,000$
10Ben Danford (R)X100.00606060606070706060606060604655096001831,250,000$
11Niilopekka Muhonen (R)X100.0060606060607070606060606060425509600183700,000$
MOYENNE D’ÉQUIPE100.006257696364727562566261636149590960
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
1Jakub Malek100.006070706060606060606060465509701221750,000$
2Nathaniel Day (R)100.006070706060606060606060485509700193650,000$
Rayé
1Max Lundgren100.006070706060606060606060445709800223650,000$
2Matthew Murray100.006070706060606060606060546608900261752,456$
3Vyacheslav Buteyets100.0060707060606060606060602209801221700,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606039470960
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton7578718168721CAN423600,000$


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
1Anton BlidhRoadrunners (UTA)LW/RW32351208476428.57%05317.672242900000100%011001.8900000010
2Jere InnalaRoadrunners (UTA)LW/RW3314-355971341223.08%26923.0320238000090062.50%823001.1600010000
3Jack AhcanRoadrunners (UTA)D3123-3006680512.50%18026.741121900009000%022000.7500000000
4Justin HryckowianRoadrunners (UTA)C3213-100210100420.00%36220.8611229000190153.19%4732000.9600000100
5Alexander AlexeyevRoadrunners (UTA)D3033000044240%16521.7901119000010000%000000.9200000000
6John HaydenRoadrunners (UTA)C3033-375279550%37023.3402229000080055.07%6942000.8600001000
7Andrew AgozzinoRoadrunners (UTA)LW/RW3112-1209253320.00%05217.4201109000010075.00%402000.7700000001
8Danila KlimovichRoadrunners (UTA)C3112014104260216.67%24916.3700000000000060.71%2801000.8100101000
9Spencer StastneyRoadrunners (UTA)D31120001476314.29%26321.3011239000010000%005000.6300000000
10Nick RitchieRoadrunners (UTA)LW/RW31011203420250.00%24314.410000000000000%100000.4600000000
11Wyatt AamodtRoadrunners (UTA)D3011-420152200%25518.370110900008000%030000.3600000000
12Brendan BrissonRoadrunners (UTA)C3011-100373140%54816.0800000000090057.89%1911000.4100000000
13Yan KuznetsovRoadrunners (UTA)D3000-120250100%03913.240000000000000%00100000000000
14Adam ErneRoadrunners (UTA)LW/RW3000075133130%15117.0400027000000066.67%34000000010000
15Joe MillerRoadrunners (UTA)C3000-155211000%0175.6900002000000044.44%91000000001000
16Kalan LindRoadrunners (UTA)LW/RW3000000000010%020.820000000000000%00000000000000
17Easton CowanRoadrunners (UTA)C/LW/RW3000000000000%010.490000000000000%00000000000000
18Adam JiricekRoadrunners (UTA)D3000160241220%25618.720000000000000%02200000000000
Statistiques d’équipe totales ou en moyenne54121830-155430557581335414.81%2688016.307101716950001781155.85%1882322000.6800123111
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
1Nathaniel DayRoadrunners (UTA)21100.8735.75940097138000012000
2Matthew MurrayRoadrunners (UTA)20100.9272.90620034126100020000
3Jakub MalekRoadrunners (UTA)10000.9172.6123001127100001000
Statistiques d’équipe totales ou en moyenne51200.8954.3318000131247120033000


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 Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam ErneRoadrunners (UTA)LW/RW291995-04-20USANo215 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,100,000$1,059,043$110,000$105,904$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------
Adam JiricekRoadrunners (UTA)D182006-06-28CZEYes179 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Alexander AlexeyevRoadrunners (UTA)D251999-11-15RUSNo213 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm950,000$914,628$95,000$91,463$No---------------------------
Andrew AgozzinoRoadrunners (UTA)LW/RW331991-01-05CANNo187 Lbs5 ft10NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm785,000$755,771$78,500$75,577$No785,000$--------785,000$--------No--------
Anton Blidh (contrat à 1 volet)Roadrunners (UTA)LW/RW291995-03-14SWENo196 Lbs6 ft1NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm700,000$673,656$700,000$673,656$No700,000$--------700,000$--------No--------
Ben DanfordRoadrunners (UTA)D182006-02-06CANYes194 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Brendan BrissonRoadrunners (UTA)C232001-10-22USANo198 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
CJ FoleyRoadrunners (UTA)D202004-02-11USANo174 Lbs5 ft9NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Calen AddisonRoadrunners (UTA)D242000-04-11CANNo173 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,750,000$1,684,840$175,000$168,484$No---------------------------
Carter YakemchukRoadrunners (UTA)D192005-09-29CANYes207 Lbs6 ft2NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Danila KlimovichRoadrunners (UTA)C212003-01-09BLRNo205 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Danila YurovRoadrunners (UTA)C/RW212003-12-22RUSYes176 Lbs5 ft11NoNoProspectNoNo22025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Denver BarkeyRoadrunners (UTA)C192005-04-27CANNo154 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Easton CowanRoadrunners (UTA)C/LW/RW192005-05-20CANNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Jack AhcanRoadrunners (UTA)D271997-05-18USANo180 Lbs5 ft8NoNoAssign ManuallyNoNo32025-10-31FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Jack MusaRoadrunners (UTA)C/LW/RW212003-07-22USANo172 Lbs5 ft10NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm725,000$698,005$72,500$69,801$No725,000$--------725,000$--------No--------
Jakub MalekRoadrunners (UTA)G222002-04-11CZENo190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Jere InnalaRoadrunners (UTA)LW/RW261998-03-17FINNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-11-08FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Joe MillerRoadrunners (UTA)C222002-09-15USANo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
John HaydenRoadrunners (UTA)C291995-02-14USANo223 Lbs6 ft3NoNoAssign ManuallyNoNo22025-11-09FalseFalsePro & Farm800,000$770,213$80,000$77,021$No800,000$--------800,000$--------No--------
Justin HryckowianRoadrunners (UTA)C232001-02-23CANNo195 Lbs5 ft11NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Kalan LindRoadrunners (UTA)LW/RW192005-01-25CANNo159 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Martin MisiakRoadrunners (UTA)LW/RW202004-09-30SVKNo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Matthew DiMarsicoRoadrunners (UTA)C202004-01-07USANo181 Lbs5 ft10NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Matthew MurrayRoadrunners (UTA)G261998-02-02CANNo185 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm752,456$724,439$75,246$72,444$No---------------------------
Max LundgrenRoadrunners (UTA)G222002-04-03SWENo229 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Nathaniel DayRoadrunners (UTA)G192005-02-04CANYes205 Lbs6 ft2NoNoProspectNoNo32025-08-30FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Nick RitchieRoadrunners (UTA)LW/RW291995-12-05CANNo236 Lbs6 ft3NoNoTrade2025-10-21NoNo1FalseFalsePro & Farm3,250,000$3,128,989$325,000$312,899$No---------------------------
Niilopekka MuhonenRoadrunners (UTA)D182006-02-28FINYes214 Lbs6 ft3NoNoDraftNoNo32025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Simon MackRoadrunners (UTA)D232001-03-29CANNo181 Lbs5 ft10NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Spencer StastneyRoadrunners (UTA)D242000-01-04USANo184 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,200,000$1,155,319$120,000$115,532$No1,200,000$--------1,200,000$--------No--------
Vyacheslav ButeyetsRoadrunners (UTA)G222002-05-29RUSNo185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Wyatt AamodtRoadrunners (UTA)D271997-11-22USANo201 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-08FalseFalsePro & Farm1,000,000$962,766$100,000$96,277$No1,000,000$--------1,000,000$--------No--------
Yan KuznetsovRoadrunners (UTA)D222002-03-09RUSNo209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3422.91192 Lbs6 ft01.941,048,013$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jere InnalaJohn HaydenAndrew Agozzino28122
2Anton BlidhJustin HryckowianAdam Erne28122
3Nick RitchieBrendan BrissonDanila Klimovich25122
4John HaydenDanila KlimovichJere Innala19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Ahcan28122
2Spencer StastneyAlexander Alexeyev28122
3Wyatt Aamodt25122
4Adam Jiricek19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jere InnalaJohn HaydenAndrew Agozzino50122
2Anton BlidhJustin HryckowianAdam Erne50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Ahcan50122
2Spencer StastneyAlexander Alexeyev50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John HaydenJere Innala50122
2Justin HryckowianBrendan Brisson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Ahcan50122
2Spencer StastneyAlexander Alexeyev50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1John Hayden50122Jack Ahcan50122
2Jere Innala50122Spencer StastneyAlexander Alexeyev50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1John HaydenJere Innala50122
2Justin HryckowianBrendan Brisson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack Ahcan50122
2Spencer StastneyAlexander Alexeyev50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jere InnalaJohn HaydenAndrew AgozzinoJack Ahcan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jere InnalaJohn HaydenAndrew AgozzinoJack Ahcan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Miller, Nick Ritchie, Andrew AgozzinoJoe Miller, Nick RitchieAndrew Agozzino
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Wyatt Aamodt, , Wyatt Aamodt,
Tirs de pénalité
John Hayden, Jere Innala, Justin Hryckowian, Brendan Brisson, Andrew Agozzino
Gardien
#1 : , #2 : Nathaniel Day


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
1Bills1010000046-21010000046-20000000000000.0004610004350292128320346241933100.00%7271.43%0376854.41%437160.56%254951.02%562563296031
2Bulldogs1010000023-1000000000001010000023-100.000235004350192128320381210177114.29%000%0376854.41%437160.56%254951.02%562563296031
3Gorillas11000000642110000006420000000000021.000691500435033212832052820195360.00%5340.00%0376854.41%437160.56%254951.02%562563296031
Total312000001213-121100000101001010000023-120.33312183000435081212832012426545515746.67%12558.33%0376854.41%437160.56%254951.02%562563296031
_Since Last GM Reset312000001213-121100000101001010000023-120.33312183000435081212832012426545515746.67%12558.33%0376854.41%437160.56%254951.02%562563296031
_Vs Conference312000001213-121100000101001010000023-120.33312183000435081212832012426545515746.67%12558.33%0376854.41%437160.56%254951.02%562563296031
_Vs Division1120000023-1011000000001010000023-121.000235004350192128320381210177114.29%000%0376854.41%437160.56%254951.02%562563296031

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32L11218308112426545500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31200001213
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
21100001010
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000023
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15746.67%12558.33%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
21283204350
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
376854.41%437160.56%254951.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
562563296031


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
29Roadrunners2Bulldogs3LSommaire du match
427Gorillas4Roadrunners6WSommaire du match
640Bills6Roadrunners4LSommaire du match
967White Wolves-Roadrunners-
1394Roadrunners-Crunch-
14104Blood Miners-Roadrunners-
17129White Wolves-Roadrunners-
18137Roadrunners-Octopus-
21158Roadrunners-Griffins-
23166Bills-Roadrunners-
25183Roadrunners-Bills-
28198Reign-Roadrunners-
31218Roadrunners-Crunch-
33233White Wolves-Roadrunners-
35248Roadrunners-Eagles-
37263Bills-Roadrunners-
42291Grisards-Roadrunners-
44306Roadrunners-Griffins-
46321Roadrunners-Phantoms-
47330Grisards-Roadrunners-
50348Roadrunners-Moose-
52362Griffins-Roadrunners-
54383Roadrunners-Titans-
55393Gorillas-Roadrunners-
57411Roadrunners-Saints-
60423Roadrunners-Rams-
61434Bulldogs-Roadrunners-
65458Mountaineers-Roadrunners-
67472Roadrunners-Mountaineers-
69487Bulldogs-Roadrunners-
73514Roadrunners-Gulls-
74522Wolves-Roadrunners-
77541Roadrunners-White Wolves-
79554Eagles-Roadrunners-
83580Penguins-Roadrunners-
85600Roadrunners-Saints-
87611Reign-Roadrunners-
89621Roadrunners-Rocket-
91643Rocket-Roadrunners-
93657Roadrunners-Eagles-
94669Roadrunners-Crunch-
96681Wolf Pack-Roadrunners-
99702Roadrunners-Bears-
101712Reign-Roadrunners-
103729Roadrunners-Norsemen-
105743Roadrunners-Rocket-
106753Blossom Bytes-Roadrunners-
109772Roadrunners-Redhawks-
110782Saints-Roadrunners-
114807Mountaineers-Roadrunners-
116826Roadrunners-Grisards-
119844Octopus-Roadrunners-
121858Roadrunners-White Wolves-
123873White Wolves-Roadrunners-
125893Roadrunners-Gorillas-
127905Silver Knights-Roadrunners-
129921Roadrunners-Americans-
131934Roadrunners-Bills-
132942Gorillas-Roadrunners-
135967Griffins-Roadrunners-
138984Roadrunners-Silver Knights-
140996Roadrunners-Reign-
1411007Crunch-Roadrunners-
1441032Silver Knights-Roadrunners-
1471056Roadrunners-Octopus-
1481062Roadrunners-Blood Miners-
1501071Crunch-Roadrunners-
1531095Redhawks-Roadrunners-
1561123Roadrunners-Blood Miners-
1571130Admirals-Roadrunners-
1581135Roadrunners-Bulldogs-
1621160Saints-Roadrunners-
1631166Roadrunners-Whalers-
1651184Roadrunners-Gorillas-
1671194Roadrunners-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681204Bills-Roadrunners-
1711222Roadrunners-Senators-
1731234Redhawks-Roadrunners-
1771257Roadrunners-Bulldogs-
1801271Blood Miners-Roadrunners-
1811281Roadrunners-Octopus-
1851303Blood Miners-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets2411
Assistance5,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 8000 - 100.00% 144,600$289,200$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
152,488$ 3,493,246$ 3,493,246$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,773$ 152,488$ 33 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,639,400$ 181 21,773$ 3,940,913$




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