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Bruins
GP: 66 | W: 20 | L: 37 | OTL: 9 | P: 49
GF: 240 | GA: 317 | PP%: 23.57% | PK%: 72.83%
DG: Jim Tegelaar | Morale : 14 | Moyenne d’équipe : 60
Prochains matchs #711 vs Admirals

Centre de jeu
Butter Knives
27-28-7, 61pts
7
FINAL
8 Bruins
20-37-9, 49pts
Team Stats
L1SéquenceL1
16-13-3Fiche domicile8-19-5
11-15-4Fiche domicile12-18-4
3-5-2Derniers 10 matchs6-3-1
4.77Buts par match 3.64
5.06Buts contre par match 4.80
21.32%Pourcentage en avantage numérique23.57%
75.80%Pourcentage en désavantage numérique72.83%
Barracuda
33-27-5, 71pts
5
FINAL
3 Bruins
20-37-9, 49pts
Team Stats
W1SéquenceL1
17-14-1Fiche domicile8-19-5
16-13-4Fiche domicile12-18-4
6-4-0Derniers 10 matchs6-3-1
3.65Buts par match 3.64
3.71Buts contre par match 4.80
19.86%Pourcentage en avantage numérique23.57%
78.79%Pourcentage en désavantage numérique72.83%
Bruins
20-37-9, 49pts
Jour 140
Admirals
21-37-3, 45pts
Statistiques d’équipe
L1SéquenceW1
8-19-5Fiche domicile9-21-2
12-18-4Fiche visiteur12-16-1
6-3-110 derniers matchs5-5-0
3.64Buts par match 3.75
4.80Buts contre par match 3.75
23.57%Pourcentage en avantage numérique24.29%
72.83%Pourcentage en désavantage numérique69.23%
Broncos
26-27-10, 62pts
Jour 142
Bruins
20-37-9, 49pts
Statistiques d’équipe
OTL1SéquenceL1
15-16-1Fiche domicile8-19-5
11-11-9Fiche visiteur12-18-4
4-3-310 derniers matchs6-3-1
3.60Buts par match 3.64
4.25Buts contre par match 3.64
23.85%Pourcentage en avantage numérique23.57%
65.79%Pourcentage en désavantage numérique72.83%
Bruins
20-37-9, 49pts
Jour 144
Wombats
34-18-9, 77pts
Statistiques d’équipe
L1SéquenceOTW1
8-19-5Fiche domicile17-13-3
12-18-4Fiche visiteur17-5-6
6-3-110 derniers matchs8-1-1
3.64Buts par match 4.41
4.80Buts contre par match 4.41
23.57%Pourcentage en avantage numérique19.86%
72.83%Pourcentage en désavantage numérique84.75%
Meneurs d'équipe
Paul CotterButs
Paul Cotter
31
William CarrierPasses
William Carrier
44
Paul CotterPoints
Paul Cotter
69
Zack BolducPlus/Moins
Zack Bolduc
14
Yaroslav AskarovVictoires
Yaroslav Askarov
14
Victor OstmanPourcentage d’arrêts
Victor Ostman
0.881

Statistiques d’équipe
Buts pour
240
3.64 GFG
Tirs pour
2073
31.41 Avg
Pourcentage en avantage numérique
23.6%
33 GF
Début de zone offensive
38.2%
Buts contre
317
4.80 GAA
Tirs contre
2537
38.44 Avg
Pourcentage en désavantage numérique
72.8%%
47 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralJim Tegelaar
EntraîneurRyan Mougenel
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1Nathan Walker
Assistant #2Nick Cousins


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs31


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
1Zack Bolduc (R)XX100.00745984756672837250677265555560082660222500,000$
2Bobby BrinkX100.00695586726076907350736558626064037650244500,000$
3Paul CotterXXX100.00866174677672897066627057826365041650263500,000$
4Jordan GreenwayXX100.008468726384746163506357745067710516302922,000,000$
5Nathan Walker (A)XX100.00876581656570846366616064527473032630321500,000$
6William CarrierXX100.00895881667969647050675960507270030630313750,000$
7Jansen HarkinsXXX100.00796187657168756569605267506970033620281500,000$
8Nick Cousins (A)XX100.00766366676670687150666257507572033620321500,000$
9Jakub LaukoXXX100.00776981656967716450615662506263035600253500,000$
10Mikael Pyyhtia (R)XX100.00605493656370666050595669506165025590241500,000$
11Nikita Nesterenko (R)XXX100.00725594617060546550546155515861072570241500,000$
12Jonas RondbjergXX100.00505089567359525050505058506263028530262500,000$
13Uvis BalinskisX100.00716385667067877050655467557170051650291500,000$
14Lian Bichsel (R)X100.00906855628665636650586068565761043640213500,000$
15Victor Mancini (R)X100.00745983658466606950645266566063037630231500,000$
16Hampus LindholmX100.005359876281585866505960705674760336203233,000,000$
17Donovan SebrangoX100.00493595598150514950494949556063030530241500,000$
Rayé
1Matthew PoitrasXX100.00565587636370606161675059505458052570212500,000$
2Cam Lund (R)XXX100.00505781527052535750505050515659020510213500,000$
3Jimmy Snuggerud (R)XX100.00505089516658535350555050525359019510213500,000$
MOYENNE D’ÉQUIPE100.0070588363726667645361576154636503960
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
1Yaroslav Askarov (R)100.0065666670595553545250635861023570231500,000$
2Victor Ostman (R)100.0067606677505749484950506163011560253500,000$
Rayé
1Trent Miner (R)100.0050615970505050505050505858020530253500,000$
MOYENNE D’ÉQUIPE100.006162647253545151505054596101855
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Mougenel8080958075751CAN495500,000$


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
1Paul CotterBruins (BOS)C/LW/RW66313869-43201271952506518612.40%16157223.8279162511001111462358.89%201400000.8817000455
2William CarrierBruins (BOS)LW/RW66254469-264401331152194717911.42%12158223.972249331013571148.83%21300000.8702000741
3Jordan GreenwayBruins (BOS)LW/RW57273461-102401121082025313413.37%49124621.863692310200021203252.87%8700000.9804000566
4Nick CousinsBruins (BOS)C/LW66283361-382801161612125317713.21%16145722.086511281032025982048.55%162100010.8400000313
5Uvis BalinskisBruins (BOS)D59133851-313401175675195117.33%117136823.193692694000398120%100000.7500000233
6Bobby BrinkBruins (BOS)RW66203050-126023651584910912.66%1295114.422111319116000021138.89%5400011.0517000325
7Jansen HarkinsBruins (BOS)C/LW/RW66192847-356070111208531259.13%26126919.2314518720001261059.76%84500000.7400000462
8Nathan WalkerBruins (BOS)LW/RW66212647-32295145771894713811.11%18133220.19268191030111790053.70%10800000.7103001423
9Victor ManciniBruins (BOS)D6053540-24601585943173111.63%78117119.5210112390000540070.00%1000000.6812000433
10Lian BichselBruins (BOS)D66112132-128552305479255713.92%90137020.76461016880000821071.43%1400000.4700100212
11Jakub LaukoBruins (BOS)C/LW/RW66131932-341556282120429710.83%26119918.1700007000043147.95%51100000.5300100123
12Mikael PyyhtiaBruins (BOS)LW/RW54112031-3280265811628939.48%37118822.0100025000021145.07%7100000.5200000021
13Zack BolducBruins (BOS)LW/RW1251520145510305416389.26%428023.350229240000251044.00%2500001.4301100220
14Hampus LindholmBruins (BOS)D25291156011192111359.52%3054221.72112837000039000%000000.4100000101
15Nikita NesterenkoBruins (BOS)C/LW/RW12538100452351521.74%116713.9200011000001042.86%1400000.9600000101
16Donovan SebrangoBruins (BOS)D60145-2602011108410.00%47100116.69000017000019010%100000.1000000001
17Jonas RondbjergBruins (BOS)LW/RW12022000004250%0897.4200000000000028.57%700000.4500000000
18Luke EvangelistaBoston BruinsLW/RW3000-6000414340%36220.8600018000020075.00%40000000000000
Statistiques d’équipe totales ou en moyenne882237399636-25637420136412101997543147811.87%5821785120.2432589021696832516859181253.98%560000020.71326301433940
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
1Yaroslav AskarovBruins (BOS)49142440.8744.8122940018414560000.692134021032
2Victor OstmanBruins (BOS)3661340.8814.5716562012610570010.727112645221
Statistiques d’équipe totales ou en moyenne85203780.8774.713950203102513001246666253


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 Plafond 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
Bobby BrinkBruins (BOS)RW242001-07-08USANo169 Lbs5 ft8NoNoFree AgentNoNo42025-07-24FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Cam LundBruins (BOS)C/LW/RW212004-06-07USAYes195 Lbs6 ft2NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Donovan SebrangoBruins (BOS)D242002-01-12CANNo221 Lbs6 ft2NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Hampus LindholmBruins (BOS)D321994-01-20SWENo224 Lbs6 ft4NoNoN/ANoNo32024-08-20FalseFalsePro & Farm3,000,000$300,000$70,000$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------Lien / Lien NHL
Jakub LaukoBruins (BOS)C/LW/RW252000-03-28CZENo193 Lbs6 ft1NoNoN/ANoNo32024-08-15FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jansen HarkinsBruins (BOS)C/LW/RW281997-05-23USANo199 Lbs6 ft1NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Jimmy SnuggerudBruins (BOS)LW/RW212004-06-01USAYes186 Lbs6 ft1NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jonas RondbjergBruins (BOS)LW/RW261999-03-31DNKNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jordan GreenwayBruins (BOS)LW/RW291997-02-16USANo231 Lbs6 ft6NoNoN/ANoNo22024-08-20FalseFalsePro & Farm2,000,000$200,000$46,667$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Lian BichselBruins (BOS)D212004-05-18CHEYes231 Lbs6 ft7NoNoFree AgentNoNo32025-08-03FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Matthew PoitrasBruins (BOS)C/RW212004-03-10CANNo180 Lbs5 ft11NoNoTrade2025-07-03NoNo2FalseFalsePro & Farm500,000$50,000$11,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mikael PyyhtiaBruins (BOS)LW/RW242001-12-17FINYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Nathan WalkerBruins (BOS)LW/RW321994-02-07GBRNo187 Lbs5 ft9NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Nick CousinsBruins (BOS)C/LW321993-07-20CANNo186 Lbs5 ft11NoNoTrade2025-08-07NoNo12025-04-13FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Nikita NesterenkoBruins (BOS)C/LW/RW242001-09-10USAYes195 Lbs6 ft2NoNoFree AgentNoNo12025-07-24FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Paul CotterBruins (BOS)C/LW/RW261999-11-16USANo213 Lbs6 ft2NoNoN/ANoNo32024-08-15FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Trent MinerBruins (BOS)G252001-02-05CANYes185 Lbs6 ft1NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Uvis BalinskisBruins (BOS)D291996-08-01LVANo196 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Victor ManciniBruins (BOS)D232002-05-26USAYes229 Lbs6 ft3NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Victor OstmanBruins (BOS)G252000-10-03SWEYes205 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$11,667$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
William CarrierBruins (BOS)LW/RW311994-12-20CANNo220 Lbs6 ft2NoNoTrade2025-08-07NoNo32024-08-20FalseFalsePro & Farm750,000$75,000$17,500$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Yaroslav AskarovBruins (BOS)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$11,667$No---------------------------Lien / Lien NHL
Zack BolducBruins (BOS)LW/RW222003-02-24CANYes187 Lbs6 ft0NoNoFree AgentNoNo22025-07-24FalseFalsePro & Farm500,000$500,000$116,667$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.57200 Lbs6 ft12.09684,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack BolducPaul CotterBobby Brink40122
2Jordan GreenwayNick CousinsWilliam Carrier30122
3Nathan WalkerJansen HarkinsNikita Nesterenko20122
4William CarrierJakub LaukoJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisLian Bichsel40122
2Hampus LindholmVictor Mancini30122
3Donovan SebrangoHampus Lindholm20122
4Victor ManciniUvis Balinskis10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack BolducPaul CotterBobby Brink60122
2Jordan GreenwayNick CousinsNathan Walker40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisLian Bichsel60122
2Hampus LindholmVictor Mancini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Paul CotterZack Bolduc60122
2Nick CousinsJordan Greenway40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisLian Bichsel60122
2Hampus LindholmVictor Mancini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Paul Cotter60122Uvis BalinskisLian Bichsel60122
2Nick Cousins40122Hampus LindholmVictor Mancini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Paul CotterZack Bolduc60122
2Nick CousinsJordan Greenway40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Uvis BalinskisLian Bichsel60122
2Hampus LindholmVictor Mancini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zack BolducPaul CotterWilliam CarrierUvis BalinskisLian Bichsel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zack BolducPaul CotterJordan GreenwayUvis BalinskisLian Bichsel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Walker, William Carrier, Nick CousinsNathan Walker, William CarrierNathan Walker
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hampus Lindholm, Victor Mancini, Donovan SebrangoHampus LindholmHampus Lindholm, Victor Mancini
Tirs de pénalité
Zack Bolduc, Paul Cotter, Bobby Brink, Jordan Greenway, Nathan Walker
Gardien
#1 : Victor Ostman, #2 : Yaroslav Askarov


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
1Aces1010000023-1000000000001010000023-100.00024600838372314646698705502014214000%10100.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
2Admirals21100000761211000007610000000000020.5007111800838372346646698705504818446400.00%10100.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
3Americiens833000023136-530300000815-7530000022321280.50031609100838372328964669870550363984717816531.25%20385.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
4Barons2110000069-3110000005321010000016-520.5006101600838372365646698705505291640000%8275.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
5Barracuda2020000047-31010000035-21010000012-100.0004711008383723616466987055057151041400.00%5180.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
6Broncos2010000169-31000000145-11010000024-210.250610160083837235964669870550551716435240.00%7271.43%01143212053.92%1219223754.49%666119155.92%166611811491444843432
7Butter Knives612000212531-63110001015150301000111016-670.58325366100838372323964669870550285603816417423.53%16662.50%01143212053.92%1219223754.49%666119155.92%166611811491444843432
8Canucks20200000316-1310100000210-81010000016-500.000358008383723386466987055084151844000%9633.33%01143212053.92%1219223754.49%666119155.92%166611811491444843432
9Fighting Pandas403001001118-71000010045-130300000713-610.125112132008383723120646698705501222832751417.14%9366.67%01143212053.92%1219223754.49%666119155.92%166611811491444843432
10Firebirds64200000272523210000016151321000001110180.6672745720083837231716466987055023768531409444.44%22672.73%11143212053.92%1219223754.49%666119155.92%166611811491444843432
11Griffins202000001115-41010000057-21010000068-200.0001120311083837236164669870550103278416350.00%40100.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
12Ice Bats220000001266110000008531100000041341.000121830008383723956466987055053108447114.29%4175.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
13Lions20200000813-51010000037-41010000056-100.000814220083837235364669870550118231849400.00%80100.00%11143212053.92%1219223754.49%666119155.92%166611811491444843432
14Lynx633000002425-130300000714-7330000001711660.5002445690083837231746466987055016846281109222.22%14657.14%01143212053.92%1219223754.49%666119155.92%166611811491444843432
15Marlies411002001416-21000010023-1311001001213-140.500142539008383723105646698705501214928788337.50%12283.33%11143212053.92%1219223754.49%666119155.92%166611811491444843432
16Nordiks413000001926-721100000911-2202000001015-520.2501934530083837231606466987055020055189810550.00%8362.50%01143212053.92%1219223754.49%666119155.92%166611811491444843432
17Quacken1010000014-31010000014-30000000000000.00012300838372327646698705503314016100.00%000%01143212053.92%1219223754.49%666119155.92%166611811491444843432
18Roadrunners3110000111832010000157-21100000061530.5001121320083837237564669870550882420737228.57%9188.89%01143212053.92%1219223754.49%666119155.92%166611811491444843432
19Tomahawks20200000514-91010000038-51010000026-400.000571200838372369646698705501042512413133.33%6350.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
20Wombats30200100816-820100100610-41010000026-410.167814220083837239164669870550137291668800.00%8187.50%01143212053.92%1219223754.49%666119155.92%166611811491444843432
21Wranglers20200000514-91010000028-61010000036-300.000591400838372361646698705508929443800.00%2150.00%01143212053.92%1219223754.49%666119155.92%166611811491444843432
Total66183700425240317-773271900312115163-4834111800113125154-29490.371240418658108383723207364669870550253767339614461403323.57%1734772.83%31143212053.92%1219223754.49%666119155.92%166611811491444843432
_Since Last GM Reset66183700425240317-773271900312115163-4834111800113125154-29490.371240418658108383723207364669870550253767339614461403323.57%1734772.83%31143212053.92%1219223754.49%666119155.92%166611811491444843432
_Vs Conference44141900425164190-2621411003127495-2123108001139095-5410.4661642884520083837231369646698705501624437282975972323.71%1183074.58%21143212053.92%1219223754.49%666119155.92%166611811491444843432
_Vs Division2881200323105126-211117002103652-161775001136974-5260.464105187292008383723927646698705501059281173605641523.44%712071.83%11143212053.92%1219223754.49%666119155.92%166611811491444843432

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6649L124041865820732537673396144610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6618370425240317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
327190312115163
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3411180113125154
Derniers 10 matchs
WLOTWOTL SOWSOL
530110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1403323.57%1734772.83%3
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
646698705508383723
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
1143212053.92%1219223754.49%666119155.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166611811491444843432


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
12Bruins4Americiens3WSommaire du match
416Butter Knives5Bruins6WSommaire du match
621Bruins4Marlies2WSommaire du match
833Bruins4Firebirds6LSommaire du match
1043Firebirds6Bruins3LSommaire du match
1254Bruins4Fighting Pandas5LSommaire du match
1464Americiens3Bruins2LSommaire du match
1571Bruins4Americiens5LXXSommaire du match
1884Fighting Pandas5Bruins4LXSommaire du match
21103Admirals2Bruins4WSommaire du match
24114Lynx6Bruins2LSommaire du match
26122Bruins5Americiens3WSommaire du match
29140Marlies3Bruins2LXSommaire du match
31151Bruins6Lynx4WSommaire du match
33158Bruins5Butter Knives6LXXSommaire du match
35168Bruins5Nordiks6LSommaire du match
36173Americiens7Bruins2LSommaire du match
39187Nordiks5Bruins6WSommaire du match
44207Roadrunners4Bruins3LXXSommaire du match
47224Quacken4Bruins1LSommaire du match
49235Bruins3Firebirds1WSommaire du match
50245Tomahawks8Bruins3LSommaire du match
53259Bruins2Aces3LSommaire du match
54267Lynx5Bruins3LSommaire du match
55270Bruins2Broncos4LSommaire du match
58286Bruins4Butter Knives3WXXSommaire du match
60297Griffins7Bruins5LSommaire du match
62308Bruins1Canucks6LSommaire du match
65319Canucks10Bruins2LSommaire du match
67333Lynx3Bruins2LSommaire du match
70349Bruins1Barons6LSommaire du match
72356Firebirds4Bruins6WSommaire du match
74368Bruins1Barracuda2LSommaire du match
76377Wranglers8Bruins2LSommaire du match
77386Bruins3Wranglers6LSommaire du match
79396Bruins6Americiens5WSommaire du match
81403Admirals4Bruins3LSommaire du match
83416Bruins5Nordiks9LSommaire du match
85426Lions7Bruins3LSommaire du match
86436Bruins5Lions6LSommaire du match
89443Bruins2Wombats6LSommaire du match
91454Roadrunners3Bruins2LSommaire du match
93462Bruins4Marlies5LXSommaire du match
95470Barons3Bruins5WSommaire du match
97484Bruins4Americiens5LXXSommaire du match
99494Butter Knives3Bruins1LSommaire du match
100501Bruins0Fighting Pandas3LSommaire du match
103516Nordiks6Bruins3LSommaire du match
105525Bruins4Firebirds3WSommaire du match
107537Americiens5Bruins4LSommaire du match
108547Bruins2Tomahawks6LSommaire du match
111558Broncos5Bruins4LXXSommaire du match
112566Bruins4Marlies6LSommaire du match
113575Bruins1Butter Knives7LSommaire du match
116589Bruins3Fighting Pandas5LSommaire du match
118593Firebirds5Bruins7WSommaire du match
119599Bruins5Lynx2WSommaire du match
121615Wombats5Bruins4LXSommaire du match
123624Bruins4Ice Bats1WSommaire du match
125635Wombats5Bruins2LSommaire du match
127647Bruins6Lynx5WSommaire du match
129654Bruins6Griffins8LSommaire du match
130659Ice Bats5Bruins8WSommaire du match
133675Bruins6Roadrunners1WSommaire du match
134682Butter Knives7Bruins8WXXSommaire du match
138702Barracuda5Bruins3LSommaire du match
140711Bruins-Admirals-
142722Broncos-Bruins-
144729Bruins-Wombats-
146741Bruins-Roadrunners-
147748Fighting Pandas-Bruins-
149763Bruins-Broncos-
150769Tomahawks-Bruins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155789Admirals-Bruins-
156796Bruins-Quacken-
159810Lions-Bruins-
160817Bruins-Quacken-
164834Fighting Pandas-Bruins-
168853Marlies-Bruins-
172872Aces-Bruins-
176889Marlies-Bruins-
178895Bruins-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,599,463$ 2,025,000$ 2,025,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,025,000$ 1,106,143$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 42 14,028$ 589,176$




Bruins 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

Bruins 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

Bruins 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

Bruins 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

Bruins 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