Connexion

Monsters
GP: 4 | W: 1 | L: 3
GF: 5 | GA: 9 | PP%: 9.52% | PK%: 88.89%
DG: Yvon Poulin | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #35 vs Bruins
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Centre de jeu
Bruins
3-1-0, 6pts
1
FINAL
0 Monsters
1-3-0, 2pts
Team Stats
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-2-0
3-0-1Derniers 10 matchs1-3-0
2.25Buts par match 1.25
1.25Buts contre par match 2.25
11.11%Pourcentage en avantage numérique9.52%
90.48%Pourcentage en désavantage numérique88.89%
Bruins
3-1-0, 6pts
2
FINAL
3 Monsters
1-3-0, 2pts
Team Stats
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-2-0
3-0-1Derniers 10 matchs1-3-0
2.25Buts par match 1.25
1.25Buts contre par match 2.25
11.11%Pourcentage en avantage numérique9.52%
90.48%Pourcentage en désavantage numérique88.89%
Monsters
1-3-0, 2pts
Jour 9
Bruins
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-3-010 derniers matchs3-0-1
1.25Buts par match 2.25
2.25Buts contre par match 2.25
9.52%Pourcentage en avantage numérique11.11%
88.89%Pourcentage en désavantage numérique90.48%
Bruins
3-1-0, 6pts
Jour 11
Monsters
1-3-0, 2pts
Statistiques d’équipe
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-2-0
3-0-110 derniers matchs1-3-0
2.25Buts par match 1.25
1.25Buts contre par match 1.25
11.11%Pourcentage en avantage numérique9.52%
90.48%Pourcentage en désavantage numérique88.89%
Monsters
1-3-0, 2pts
Jour 13
Bruins
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-3-010 derniers matchs3-0-1
1.25Buts par match 2.25
2.25Buts contre par match 2.25
9.52%Pourcentage en avantage numérique11.11%
88.89%Pourcentage en désavantage numérique90.48%
Meneurs d'équipe
Buts
Tyler Benson
2
Passes
Jan Jenik
2
Points
Jan Jenik
2
Plus/Moins
Tyler Benson
1
Victoires
Mackenzie Blackwood
1
Pourcentage d’arrêts
Mackenzie Blackwood
0.915

Statistiques d’équipe
Buts pour
5
1.25 GFG
Tirs pour
48
12.00 Avg
Pourcentage en avantage numérique
9.5%
2 GF
Début de zone offensive
36.5%
Buts contre
9
2.25 GAA
Tirs contre
95
23.75 Avg
Pourcentage en désavantage numérique
88.9%%
3 GA
Début de la zone défensive
46.6%
Informations de l'équipe

Directeur généralYvon Poulin
EntraîneurRick Tocchet
DivisionDivision 2
ConférenceConference 1
CapitaineCraig Smith
Assistant #1Sonny Milano
Assistant #2Nicolas Hague


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 60
Espoirs19


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
1Jan Jenik0X100.00626556746564656379635958564545615000221902,500$
2Jesse Ylonen (R)0XX100.00634199666965886844727065754747715000231925,000$
3Craig Smith (C)0XX100.007143907975588663316066645481846750003313,100,000$
4Adam Raska (R)0XX100.00576343676367724950464652444444515000212900,000$
5Georgii Merkulov (R)0XX100.0073668963667071658062656462444466500N02231,202,513$
6Lucas Edmonds (R)0XX100.00746594646572765950526263594444635000223950,000$
7Rasmus Asplund0XX100.00654296776958805941615672256161635000251825,000$
8Tyler Benson0XX100.00757380677361635850605064484747595000251750,000$
9Charles Hudon (R)0XXX100.00726882636880846680606864654444685000291750,000$
10Sonny Milano (A)0XX100.006742908370648565257770602563637150002721,700,000$
11Mikhail Maltsev0XX100.00797492747468706480586568625050675000251925,000$
12Connor Dewar0XX100.00805682656258856065625879255859655000244800,000$
13Cale Fleury0X100.00884694747562595825474771255151605000242750,000$
14Robin Salo (R)0X100.00654188686757715925536067254545645000242937,750$
15Gabriel Carlsson0X100.00777580787564694925413965375858545000264750,000$
16Nicolas Hague (A)0X100.007955828285758459255248772564656350002442,294,150$
17Riley Stillman0X100.008193807675656860255147742560606150002541,350,000$
18Casey Fitzgerald0X100.00784394726759635325494775255151605000264750,000$
Rayé
1Cole Reinhardt (R)0X100.00717463637479846050595662534444615000232813,333$
2Ryan Jones0XX100.00777875637859624950474662444444545000271750,000$
3David Jiricek (R)0X100.007471816471626457255545624344445750001931,950,000$
4Ryker Evans (R)0X100.00696772636777835525534259404444555000213925,000$
5Donovan Sebrango (R)0X100.00746985636964694625344360414444525000211925,000$
6Albert Johansson (R)0X100.00676279646265704825394257404444525000223919,167$
7Kaedan Korczak (R)0X100.00717367737366714825394159394545535000221905,000$
8John Ludvig (R)0X100.00717464657450515025444159394444515000233925,000$
9Drew Helleson (R)0X100.00777778697758614825404162394444535000222750,000$
10Ville Heinola0X100.006764738064687257255642604047475750002231,075,833$
MOYENNE D’ÉQUIPE100.0072638070706572574053526442505060500
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
1Mackenzie Blackwood0100.0061545590655671626561756060625000261913,333$
2Eetu Makiniemi (R)0100.00494455685053505454533044445150002421,000,000$
Rayé
1Jakub Skarek (R)0100.0049516478485150545151304444515000233913,333$
2Isaiah Saville (R)0100.0052526574525250565151304444525000222862,417$
MOYENNE D’ÉQUIPE100.005350607854535557555441484854500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet83917886848062CAN6021,500,000$


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
1Jan JenikMonsters (CLB)C4022100252020%0379.4000000000050053.85%2600001.0600000000
2Cale FleuryMonsters (CLB)D40220601030010%48320.82000014000016000%000000.4800000000
3Tyler BensonMonsters (CLB)LW/RW42021203450140.00%0287.100000000000000%000001.4100000001
4Mikhail MaltsevMonsters (CLB)C/LW4022020363030%16315.9301111600000000%100000.6300000000
5Connor DewarMonsters (CLB)C/LW411202061073314.29%07418.530112150000111066.10%5900000.5400000100
6Jesse YlonenMonsters (CLB)LW/RW4101-4001223250.00%17418.681011160000160135.29%1700000.2700000000
7Riley StillmanMonsters (CLB)D4011-280942000%69122.76011215000018000%000000.2200000000
8Charles HudonMonsters (CLB)C/LW/RW41010404130533.33%06416.09101216000000050.00%400000.3100000000
9Sonny MilanoMonsters (CLB)LW/RW4011-420885320%08220.740112160000230026.53%4900000.2400000000
10Craig SmithMonsters (CLB)C/RW4000-4208104020%08020.220001150000220030.91%550000000000000
11Robin SaloMonsters (CLB)D4000040500020%38320.76000013000017000%00000000000000
12Adam RaskaMonsters (CLB)LW/RW4000100111000%0348.68000020000300100.00%20000000000000
13Gabriel CarlssonMonsters (CLB)D4000-1801101240%77318.3000004000111000%00000000000000
14Georgii MerkulovMonsters (CLB)C/RW4000000138110%05313.3000012000020060.00%50000000000000
15Lucas EdmondsMonsters (CLB)LW/RW4000040330010%05714.2700000000080037.50%80000000000000
16Nicolas HagueMonsters (CLB)D4000-280432140%69122.86000215000018000%00000000000000
17Rasmus AsplundMonsters (CLB)C/LW40000002112030%05213.1100003000000037.50%400000000000000
18Casey FitzgeraldMonsters (CLB)D4000-140641000%56716.880001500005000%00000000000000
Statistiques d’équipe totales ou en moyenne725914-15560877848133610.42%33119316.582461517500011821142.86%26600000.2300000101
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
1Mackenzie BlackwoodMonsters (CLB)41300.9152.03236008940000040110
2Eetu MakiniemiMonsters (CLB)100005.461100110000004000
Statistiques d’équipe totales ou en moyenne51300.9052.1824800995000044110


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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 RaskaMonsters (CLB)LW/RW212001-09-25Yes178 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$385,714$900,000$385,714$0$0$No900,000$--------No--------Lien
Albert JohanssonMonsters (CLB)D222001-04-01Yes168 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm919,167$393,929$919,167$393,929$0$0$No919,167$919,167$-------NoNo-------
Cale FleuryMonsters (CLB)D241998-11-18No205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Casey FitzgeraldMonsters (CLB)D261997-02-24No185 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Charles HudonMonsters (CLB)C/LW/RW291994-06-23Yes190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Cole ReinhardtMonsters (CLB)LW232000-02-01Yes203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm813,333$348,571$813,333$348,571$0$0$No813,333$--------No--------Lien
Connor DewarMonsters (CLB)C/LW241999-06-26No170 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm800,000$342,857$800,000$342,857$0$0$No800,000$800,000$800,000$------NoNoNo------Lien
Craig SmithMonsters (CLB)C/RW331989-09-05No208 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm3,100,000$1,328,571$3,100,000$1,328,571$0$0$No------------------Lien
David JiricekMonsters (CLB)D192003-11-28Yes189 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,950,000$835,714$1,950,000$835,714$0$0$No1,950,000$1,950,000$-------NoNo-------
Donovan SebrangoMonsters (CLB)D212002-01-12Yes189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Drew HellesonMonsters (CLB)D222001-03-26Yes205 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Eetu MakiniemiMonsters (CLB)G241999-04-19Yes176 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$428,571$1,000,000$428,571$0$0$No1,000,000$--------No--------Lien
Gabriel CarlssonMonsters (CLB)D261997-01-02No192 Lbs6 ft5NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Georgii MerkulovMonsters (CLB)C/RW222000-10-10Yes181 Lbs5 ft11YesNoN/ANoNo3FalseFalsePro & Farm1,202,513$515,363$1,202,513$515,363$0$0$No1,202,513$1,202,513$-------YesYes-------Lien
Isaiah SavilleMonsters (CLB)G222000-09-21Yes195 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm862,417$369,607$862,417$369,607$0$0$No862,417$--------No--------Lien
Jakub SkarekMonsters (CLB)G231999-11-10Yes192 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm913,333$391,428$913,333$391,428$0$0$No913,333$913,333$-------NoNo-------Lien
Jan JenikMonsters (CLB)C222000-09-15No171 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$386,786$795,000$340,714$0$0$No------------------Lien
Jesse YlonenMonsters (CLB)LW/RW231999-10-03Yes188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$880,833$377,500$0$0$No------------------Lien
John LudvigMonsters (CLB)D232000-02-08Yes201 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Kaedan KorczakMonsters (CLB)D222001-01-29Yes192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm905,000$387,857$795,000$340,714$0$0$No------------------Lien
Lucas EdmondsMonsters (CLB)LW/RW222001-01-27Yes181 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm950,000$407,143$950,000$407,143$0$0$No950,000$950,000$-------NoNo-------
Mackenzie BlackwoodMonsters (CLB)G261996-09-12No225 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm913,333$391,428$913,333$391,428$0$0$No------------------Lien
Mikhail MaltsevMonsters (CLB)C/LW251998-03-12No198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Nicolas HagueMonsters (CLB)D241998-12-05No221 Lbs6 ft6NoNoN/ANoNo4FalseFalsePro & Farm2,294,150$983,207$2,294,150$983,207$0$0$No2,294,150$2,294,150$2,294,150$------NoNoNo------Lien
Rasmus AsplundMonsters (CLB)C/LW251997-12-03No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$353,571$825,000$353,571$0$0$No------------------Lien
Riley StillmanMonsters (CLB)D251998-03-09No196 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm1,350,000$578,571$1,350,000$578,571$0$0$No1,350,000$1,350,000$1,350,000$------NoNoNo------Lien
Robin SaloMonsters (CLB)D241998-10-13Yes181 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm937,750$401,893$937,750$401,893$0$0$No937,750$--------No--------Lien
Ryan JonesMonsters (CLB)LW/RW271996-05-26No214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Ryker EvansMonsters (CLB)D212001-12-13Yes189 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Sonny MilanoMonsters (CLB)LW/RW271996-05-12No194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,700,000$728,571$1,700,000$728,571$0$0$No1,700,000$--------No--------Lien
Tyler BensonMonsters (CLB)LW/RW251998-03-15No201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Ville HeinolaMonsters (CLB)D222001-03-02No178 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,075,833$461,071$1,075,833$461,071$0$0$No1,075,833$1,075,833$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3223.88192 Lbs6 ft12.221,068,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoCraig SmithJesse Ylonen35122
2Mikhail MaltsevConnor DewarCharles Hudon30122
3Lucas EdmondsRasmus AsplundGeorgii Merkulov25122
4Tyler BensonJan JenikAdam Raska10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRiley Stillman35122
2Robin SaloCale Fleury30122
3Casey FitzgeraldGabriel Carlsson25122
4Nicolas HagueRiley Stillman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoCraig SmithJesse Ylonen60122
2Mikhail MaltsevConnor DewarCharles Hudon40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRiley Stillman60122
2Robin SaloCale Fleury40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sonny MilanoCraig Smith60122
2Jesse YlonenConnor Dewar40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRiley Stillman60122
2Robin SaloCale Fleury40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sonny Milano60122Nicolas HagueRiley Stillman60122
2Craig Smith40122Robin SaloCale Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sonny MilanoCraig Smith60122
2Jesse YlonenConnor Dewar40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRiley Stillman60122
2Robin SaloCale Fleury40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoCraig SmithJesse YlonenNicolas HagueRiley Stillman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoCraig SmithJesse YlonenNicolas HagueRiley Stillman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rasmus Asplund, Georgii Merkulov, Lucas EdmondsRasmus Asplund, Georgii MerkulovLucas Edmonds
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, Gabriel Carlsson, Robin SaloCasey FitzgeraldGabriel Carlsson, Robin Salo
Tirs de pénalité
Sonny Milano, Craig Smith, Jesse Ylonen, Connor Dewar, Mikhail Maltsev
Gardien
#1 : Mackenzie Blackwood, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Sonny Milano, Craig Smith, Jesse Ylonen, Connor Dewar, Mikhail Maltsev, Rasmus Asplund, Rasmus Asplund, Charles Hudon, Georgii Merkulov, Lucas Edmonds, Jan Jenik
Lignes de défense personnalisées en prolongation
Nicolas Hague, Riley Stillman, Robin Salo, Cale Fleury, Casey Fitzgerald


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
1Bruins4130000059-4211000003302020000026-420.2505914001211481015212953356872129.52%27388.89%0469747.42%4812438.71%204544.44%8352113345224
Total4130000059-4211000003302020000026-420.2505914001211481015212953356872129.52%27388.89%0469747.42%4812438.71%204544.44%8352113345224
_Since Last GM Reset4130000059-4211000003302020000026-420.2505914001211481015212953356872129.52%27388.89%0469747.42%4812438.71%204544.44%8352113345224
_Vs Conference4130000059-4211000003302020000026-420.2505914001211481015212953356872129.52%27388.89%0469747.42%4812438.71%204544.44%8352113345224

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42W15914489533568700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
413000059
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000033
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000026
Derniers 10 matchs
WLOTWOTL SOWSOL
130000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2129.52%27388.89%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
10152121211
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
469747.42%4812438.71%204544.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
8352113345224


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
13Monsters0Bruins1LSommaire du match
311Monsters2Bruins5LSommaire du match
519Bruins1Monsters0LSommaire du match
727Bruins2Monsters3WXSommaire du match
935Monsters-Bruins-
1143Bruins-Monsters-
1351Monsters-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,418,932$ 3,392,765$ 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$ 6 0$ 0$




Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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