Connexion

Roadrunners
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 21 | PP%: 8.33% | PK%: 73.33%
DG: Rich St-Arneault | Morale : 52 | Moyenne d’équipe : 69
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Centre de jeu
Roadrunners
1-4-0, 2pts
3
FINAL
4 Bruins
7-4-0, 14pts
Team Stats
L3SéquenceL1
1-2-0Fiche domicile3-2-0
0-2-0Fiche domicile4-2-0
1-4-0Derniers 10 matchs6-4-0
3.00Buts par match 4.00
4.20Buts contre par match 3.73
8.33%Pourcentage en avantage numérique31.43%
73.33%Pourcentage en désavantage numérique75.00%
Bruins
7-4-0, 14pts
5
FINAL
2 Roadrunners
1-4-0, 2pts
Team Stats
L1SéquenceL3
3-2-0Fiche domicile1-2-0
4-2-0Fiche domicile0-2-0
6-4-0Derniers 10 matchs1-4-0
4.00Buts par match 3.00
3.73Buts contre par match 4.20
31.43%Pourcentage en avantage numérique8.33%
75.00%Pourcentage en désavantage numérique73.33%
Meneurs d'équipe
Adam ErneButs
Adam Erne
3
Anthony GrecoPasses
Anthony Greco
3
Adam ErnePoints
Adam Erne
5
Adam ErnePlus/Moins
Adam Erne
5
Calvin PickardVictoires
Calvin Pickard
1
Zachary FucalePourcentage d’arrêts
Zachary Fucale
0.868

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
155
31.00 Avg
Pourcentage en avantage numérique
8.3%
1 GF
Début de zone offensive
40.8%
Buts contre
21
4.20 GAA
Tirs contre
143
28.60 Avg
Pourcentage en désavantage numérique
73.3%%
4 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralRich St-Arneault
EntraîneurJeff Blashill
DivisionDivision Atlantic
ConférenceConference Est
CapitaineAdam Erne
Assistant #1Alexander Petrovic
Assistant #2Noah Juulsen


Informations de l’aréna

Capacité3,000
Assistance2,631
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 80
Espoirs18


Historique d'équipe

Saison actuelle1-4
Historique197-107-23 (0.602%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)17-24
Coupe Stanley0


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
1Anthony GrecoXX100.00623594807589837365707271746971082700304850,000$
2Aleksi SaarelaXX100.00513595768178767882717271766764054700274850,000$
3Drake CaggiulaXXX100.00844679686775817673757574787366082700293900,000$
4Beau Starret XX100.00795580818077757674707069606961066700282800,000$
5Nic DowdXX100.00853782667878876599706872747973063690332900,000$
6Scott WilsonXX100.00543586757871677368727372737769082690323900,000$
7Gabriel DumontXX100.00815495737973727286717171737977067690332900,000$
8Adam Erne (C)XX100.008171856780778673717272717768700396902931,550,000$
9Justin Kirkland (R)XXX100.00674371758083877174696869676668082690271725,000$
10Kole Lind (R)X100.00623595747676737573717170746563082690251875,000$
11Morgan Barron (R)XX100.00786972629083796386717172726563069690251875,000$
12Lane Pederson (R)X100.00833595768280717785696968766763082690264855,000$
13Alexander Petrovic (A)X100.008071736390748861307165756177690297003221,120,000$
14Taylor FedunX100.00593591727770687430757170628273040690351800,000$
15Nicolas HagueX100.007269816188878668306955726264660836902561,218,000$
16Noah Juulsen (R) (A)X100.00793687648183795930716073606567067690272875,000$
17Paul LadueX100.00583592718075726030727174597772027690313900,000$
18Mac Hollowell (R)X100.00633876748267707430716973606466082690255850,000$
Rayé
1Kevin RoyXX100.00553687737485906578727268726971063690302951,000$
2David Kase (R)XX100.00553595757872737771696967746765020680275800,000$
3Eetu Tuulola (R)X100.00767178678576876669676769666466020680261625,000$
4Francis PerronX100.00594381758574796071696968676965020670282730,000$
5Jachym Kondelik (R)X100.00653873658575856565686865505050020650243525,000$
6Brad HuntX100.005335948065868178307275706882740727003521,300,000$
7Nick DeSimoneX100.00683989657877896930686773566870020690292950,000$
8Roland McKeownX100.00673874688670936830686672566668024690282951,000$
MOYENNE D’ÉQUIPE100.0068458571807780706071697167706705569
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
1Calvin Pickard100.00747978807372746362747371840457203211,100,000$
2Zachary Fucale100.00666467696571727080706967770806902831,000,000$
Rayé
1Oscar Dansk100.00735555776671757070697073770206903031,000,000$
2Zachary Emond (R)100.0065706572656563666467505050022630233525,000$
MOYENNE D’ÉQUIPE100.007067667567707167697066657204268
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill74737971736877USA502850,000$


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
1Adam ErneRoadrunners (ARI)LW/RW5325540112541160.00%06312.7100007000000050.00%200001.5700000010
2Anthony GrecoRoadrunners (ARI)LW/RW5134-300114144157.14%211022.100113100000100034.78%2300000.7200000010
3Taylor FedunRoadrunners (ARI)D5033100388240%58517.1700031000001000%000000.7000000000
4Aleksi SaarelaRoadrunners (ARI)C/LW5123-50001215476.67%210621.321014100000120049.33%15000000.5600000000
5Scott WilsonRoadrunners (ARI)C/LW5213100181571513.33%08316.7400039000010057.14%700000.7200000100
6Drake CaggiulaRoadrunners (ARI)C/LW/RW5123-6201811131157.69%19519.050112100000111037.50%800000.6300000000
7Nicolas HagueRoadrunners (ARI)D512346011141225.00%78917.9800000000012000%000000.6700000000
8Alexander PetrovicRoadrunners (ARI)D5022-4601824150%1511122.330003900009000%000000.3600000000
9Gabriel DumontRoadrunners (ARI)C/RW5202-100571661412.50%16312.7500000000000061.76%3400000.6300000010
10Justin KirklandRoadrunners (ARI)C/LW/RW520210048101920.00%05811.64000000000001100.00%200000.6900000000
11Kole LindRoadrunners (ARI)RW5112-1000586912.50%16613.21000000000000100.00%100000.6100000010
12Lane PedersonRoadrunners (ARI)C5112-2001372814.29%0296.0000000000000050.00%4200001.3300000000
13Mac HollowellRoadrunners (ARI)D5022-3401057330%510621.290000900008000%000000.3800000000
14Nic DowdRoadrunners (ARI)C/RW50111001467470%09118.3100019000190053.66%8200000.2200000000
15Noah JuulsenRoadrunners (ARI)D5011020824200%79819.710000000006000%000000.2000000000
16Morgan BarronRoadrunners (ARI)C/LW5011440667110%05210.5400000000000056.52%4600000.3800000000
17Paul LadueRoadrunners (ARI)D5011-440214140%810721.490001900008000%000000.1900000000
18Beau Starret Roadrunners (ARI)C/LW5011-300657590%0499.8000001000000055.00%2000000.4100000000
Statistiques d’équipe totales ou en moyenne90152641-15320119106155551389.68%54147016.34123201010001931151.80%41700000.5600000140
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
1Calvin PickardRoadrunners (ARI)41300.8564.0522220151040010041000
2Zachary FucaleRoadrunners (ARI)20100.8683.9576005380000014000
Statistiques d’équipe totales ou en moyenne61400.8594.012992020142001055000


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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 (ARI)LW/RW291995-04-20 14:01:26No214 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,550,000$55,357$0$0$No1,550,000$1,550,000$-------NoNo-------Lien / Lien NHL
Aleksi SaarelaRoadrunners (ARI)C/LW271997-01-07 04:03:27No200 Lbs5 ft10NoNoN/ANoNo4Pro & Farm850,000$30,357$0$0$No850,000$850,000$850,000$------NoNoNo------Lien / Lien NHL
Alexander PetrovicRoadrunners (ARI)D321992-03-03 12:07:24No209 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,120,000$40,000$0$0$No1,120,000$--------No--------Lien / Lien NHL
Anthony GrecoRoadrunners (ARI)LW/RW301993-09-30 13:03:46No172 Lbs5 ft10NoNoN/ANoNo4Pro & Farm850,000$30,357$0$0$No850,000$850,000$850,000$------NoNoNo------Lien / Lien NHL
Beau Starret Roadrunners (ARI)C/LW281995-11-01 16:34:43No212 Lbs6 ft5NoNoN/ANoNo2Pro & Farm800,000$28,571$0$0$No800,000$--------No--------Lien
Brad HuntRoadrunners (ARI)D351988-08-24 11:35:43No188 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,300,000$46,429$0$0$No1,000,000$--------No--------Lien / Lien NHL
Calvin PickardRoadrunners (ARI)G321992-04-15 16:30:02No201 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$39,286$0$0$No------------------Lien / Lien NHL
David KaseRoadrunners (ARI)LW/RW271997-01-28 12:11:14Yes180 Lbs5 ft11NoNoN/ANoNo5Pro & Farm800,000$28,571$0$0$No800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien / Lien NHL
Drake CaggiulaRoadrunners (ARI)C/LW/RW291994-06-20 15:48:48No185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Eetu TuulolaRoadrunners (ARI)RW261998-03-17 00:17:28Yes216 Lbs6 ft2NoNoN/ANoNo1Pro & Farm625,000$22,321$0$0$No------------------Lien / Lien NHL
Francis PerronRoadrunners (ARI)LW281996-04-18 14:45:54No165 Lbs6 ft0NoNoN/ANoNo2Pro & Farm730,000$26,071$0$0$No730,000$--------No--------Lien
Gabriel DumontRoadrunners (ARI)C/RW331990-10-06 11:47:09No179 Lbs5 ft9NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien / Lien NHL
Jachym KondelikRoadrunners (ARI)C241999-12-21 02:15:37Yes232 Lbs6 ft7NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Justin KirklandRoadrunners (ARI)C/LW/RW271996-08-02 00:19:34Yes183 Lbs6 ft3NoNoN/ANoNo1Pro & Farm725,000$25,893$0$0$No------------------Lien / Lien NHL
Kevin RoyRoadrunners (ARI)LW/RW301993-05-20 12:12:08No160 Lbs5 ft9NoNoN/ANoNo2Pro & Farm951,000$33,964$0$0$No951,000$--------No--------Lien / Lien NHL
Kole LindRoadrunners (ARI)RW251998-10-16 03:08:12Yes178 Lbs6 ft1NoNoN/ANoNo1Pro & Farm875,000$31,250$0$0$No------------------Lien / Lien NHL
Lane PedersonRoadrunners (ARI)C261997-08-04 09:07:32Yes183 Lbs6 ft0NoNoN/ANoNo4Pro & Farm855,000$30,536$0$0$No855,000$855,000$855,000$------NoNoNo------Lien / Lien NHL
Mac HollowellRoadrunners (ARI)D251998-09-26 12:36:02Yes170 Lbs5 ft9NoNoN/ANoNo5Pro & Farm850,000$30,357$0$0$No850,000$850,000$850,000$850,000$-----NoNoNoNo-----Lien / Lien NHL
Morgan BarronRoadrunners (ARI)C/LW251998-12-02 03:10:18Yes220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm875,000$31,250$0$0$No------------------Lien / Lien NHL
Nic DowdRoadrunners (ARI)C/RW331990-05-27 12:24:13No175 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$32,143$0$0$No900,000$--------No--------Lien / Lien NHL
Nick DeSimoneRoadrunners (ARI)D291994-11-21 08:19:32No194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien / Lien NHL
Nicolas HagueRoadrunners (ARI)D251998-12-05 02:20:13No221 Lbs6 ft6NoNoN/ANoNo6Pro & Farm1,218,000$43,500$0$0$No1,218,000$1,218,000$1,218,000$1,218,000$1,218,000$----NoNoNoNoNo----Lien / Lien NHL
Noah JuulsenRoadrunners (ARI)D271997-04-02 13:01:14Yes201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm875,000$31,250$0$0$No875,000$--------No--------Lien / Lien NHL
Oscar DanskRoadrunners (ARI)G301994-02-28 01:43:12No194 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$35,714$0$0$No1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Paul LadueRoadrunners (ARI)D311992-09-06 16:46:52No196 Lbs5 ft11NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Roland McKeownRoadrunners (ARI)D281996-01-20 16:51:40No194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm951,000$33,964$0$0$No951,000$--------No--------Lien / Lien NHL
Scott WilsonRoadrunners (ARI)C/LW321992-04-24 15:45:14No186 Lbs5 ft11NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Taylor FedunRoadrunners (ARI)D351988-06-04 05:28:03No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$28,571$0$0$No------------------Lien / Lien NHL
Zachary EmondRoadrunners (ARI)G232000-06-20 02:13:43Yes165 Lbs6 ft3NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Zachary FucaleRoadrunners (ARI)G281995-05-28 16:32:12No185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$35,714$0$0$No1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3028.63192 Lbs6 ft12.60906,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony GrecoAleksi SaarelaAdam Erne35122
2Scott WilsonNic DowdJustin Kirkland29122
3Morgan BarronGabriel DumontKole Lind23122
4Beau Starret Lane PedersonDrake Caggiula13122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicPaul Ladue40122
2Noah JuulsenMac Hollowell30122
3Taylor FedunNicolas Hague24122
4Noah JuulsenMac Hollowell6122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony GrecoAleksi SaarelaDrake Caggiula58122
2Scott WilsonNic DowdAdam Erne42122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LadueMac Hollowell58122
2Taylor FedunAlexander Petrovic42122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Aleksi SaarelaDrake Caggiula56032
2Nic DowdAnthony Greco44032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicNicolas Hague56032
2Paul LadueMac Hollowell44032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Aleksi Saarela55041Alexander PetrovicNicolas Hague55041
2Drake Caggiula45041Paul LadueMac Hollowell45041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anthony GrecoAleksi Saarela58122
2Drake CaggiulaBeau Starret 42122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicTaylor Fedun58122
2Nicolas HagueMac Hollowell42122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony GrecoAleksi SaarelaDrake CaggiulaAlexander PetrovicTaylor Fedun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott WilsonMorgan BarronDrake CaggiulaAlexander PetrovicPaul Ladue
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Drake Caggiula, Gabriel Dumont, Morgan BarronGabriel Dumont, Justin KirklandScott Wilson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Fedun, Nicolas Hague, Noah JuulsenNoah JuulsenNoah Juulsen, Taylor Fedun
Tirs de pénalité
Drake Caggiula, Adam Erne, Lane Pederson, Aleksi Saarela, Anthony Greco
Gardien
#1 : Zachary Fucale, #2 : Calvin Pickard


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
1Bruins514000001521-6312000001013-32020000058-320.200152641105820155535646014354341191218.33%15473.33%09117053.53%8416152.17%418647.67%12286113356332
Total514000001521-6312000001013-32020000058-320.200152641105820155535646014354341191218.33%15473.33%09117053.53%8416152.17%418647.67%12286113356332
_Since Last GM Reset514000001521-6312000001013-32020000058-320.200152641105820155535646014354341191218.33%15473.33%09117053.53%8416152.17%418647.67%12286113356332
_Vs Conference514000001521-6312000001013-32020000058-320.200152641105820155535646014354341191218.33%15473.33%09117053.53%8416152.17%418647.67%12286113356332

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L3152641155143543411910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001521
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001013
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000058
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1218.33%15473.33%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
53564605820
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
9117053.53%8416152.17%418647.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12286113356332


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
28Bruins4Roadrunners2BLSommaire du match
416Bruins4Roadrunners6BWSommaire du match
624Roadrunners2Bruins4ALSommaire du match
832Roadrunners3Bruins4ALSommaire du match
1040Bruins5Roadrunners2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3824
Assistance5,5292,364
Assistance PCT92.15%78.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2631 - 87.70% 106,735$320,206$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,720,000$ 2,720,000$ 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$ 1 0$ 0$




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
1Brad Hunt31566216282524016245461810.68%390716522.753360933371126840%00.7900
2Drake Caggiula2361141362508518475538787413.04%70471519.9827396618022417121148.99%21.0629
3Loui Eriksson197799917847146629860812.99%44351717.851126371092021311448.15%11.0124
4Gabriel Dumont27372100172137025644061211.76%47393314.4114152977101713754.97%00.8700
5Emerson Etem1607089159262013130156812.32%20283917.751521367900019336.89%11.1211

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
1Calvin Pickard142764580.8933.43776010344341350430.52421
2Landon Bow85481750.8953.3743134324223100750.5006
3Kevin Boyle65282150.8943.1132464216815860020.80010
4Oscar Dansk2817910.8833.721531009581401100
5Zachary Fucale2814830.9052.96140020697290200.4449

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
20824330016113182833541201500510161143184123150110115714017973185818992313787923279298889489719252074751819052415522.82%2236172.65%21584294553.79%1430267153.54%747141252.90%1981137518915961070537
2182521905312385274111412780220219813365412511031101871414612138569410793214012711262939970102992030253674458518872898128.03%2634981.37%11636299354.66%1482275053.89%806147854.53%2043142818465971054536
2282442804213327275524123130211115812929412115021021691462310332759992644109122918280589397791334259375356417332866322.03%2464780.89%51540288953.31%1423279650.89%705137251.38%2001138818876071061539
238242300221534129150412014011141691501941221601101172141319734161095120127115967287291398694647271477556317502877225.09%2505478.40%11552295652.50%1450288850.21%719137652.25%2003138118866101068541
Total Saison régulière3281811070121341113711123248164905005937686555131164915707414685568117418137124843855119513451391241140837643886367613010363301922307275110327124.57%98221178.51%963121178353.57%57851110552.09%2977563852.80%802955747511241142552155
Séries éliminatoires
20136700000564797430000032266624000002421312561041601018152214791581591431939012684294441227.27%391171.79%127551952.99%22242751.99%11522152.04%3402412999617287
21514000001823-5312000001313020200000510-521833510055801485639503168493910314214.29%15286.67%09817556.00%9717356.07%609761.86%12184117376734
221899000006866285300000282441046000004042-2186812719511172524262219520720218540169120391621930.65%501472.00%032966749.33%31960852.47%14030146.51%441303424136238120
23514000001521-6312000001013-32020000058-32152641105820155535646014354341191218.33%15473.33%09117053.53%8416152.17%418647.67%12286113356332
Total Séries éliminatoires411724000001571570211110000008376720614000007481-73415729044731455356314044624614414012413982779071323425.76%1193173.95%1793153151.80%722136952.74%35670550.50%1026715955306542274

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
1Dillon Dube36132437-514425712910.08%1069419.29211132000011057.53%01.0700
2Loui Eriksson36102131-3421781079.35%875621.012792310130047.44%00.8200
3Gabriel Dumont31111728-71535527714.29%850616.331671200011252.55%01.1100
4Brad Hunt341017278619426415.63%4479223.31639270000000%00.6800
5Drake Caggiula2851621-5189763855.88%857920.710661400013050.00%00.7200

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
1Calvin Pickard2210820.8723.771194417558701200
2Pavel Francouz126510.8763.73675204234000100
3Landon Bow91410.8594.25339002417000000
4Zachary Fucale20100.8683.95760053800000
5Kevin Boyle70110.9222.0823100810300000