Harvard
GP: 82 | W: 34 | L: 41 | T: 4 | P: 75
GF: 250 | GA: 275 | PP%: 20.19% | PK%: 81.35%
DG: Marcel | Morale : 36 | Moyenne d’équipe : 65
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Centre de jeu
Isotopes
32-37-4, 77pts
3
FINAL
5 Harvard
34-41-3, 75pts
Team Stats
W1StreakOTL1
17-17-2Home Record20-19-2
15-20-2Away Record14-22-1
5-3-0Last 10 Games4-5-1
2.90Goals Per Game3.05
3.21Goals Against Per Game3.35
14.92%Power Play Percentage20.19%
80.64%Penalty Kill Percentage81.35%
Harvard
34-41-3, 75pts
3
FINAL
4 Spoonman's
43-26-1, 99pts
Team Stats
OTL1StreakOTW1
20-19-2Home Record22-13-0
14-22-1Away Record21-13-1
4-5-1Last 10 Games7-3-0
3.05Goals Per Game3.13
3.35Goals Against Per Game2.78
20.19%Power Play Percentage19.05%
81.35%Penalty Kill Percentage84.42%
Meneurs d'équipe
Victoires
Wendell Young
29
Pourcentage d’arrêts
Vincent Riendeau
0.89

Statistiques d’équipe
Buts pour
250
3.05 GFG
Tirs pour
2176
26.54 Avg
Pourcentage en avantage numérique
20.2%
84 GF
Début de zone offensive
40.8%
Buts contre
275
3.35 GAA
Tirs contre
2170
26.46 Avg
Pourcentage en désavantage numérique
81.3%
72 GA
Début de la zone défensive
39.4%
Information d’équipe

Directeur généralMarcel
EntraîneurMichel Therrien
DivisionDivision 1
ConférencePrince de Galles
CapitaineDave Tippett
Assistant #1Brent Fedyk
Assistant #2Jamie Langenbrunner


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 65
Espoirs7


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
1Bob ErreyX98.007659656971737871697266786564693442680303900,000$
2Sergei NemchinovX100.006245796476818076717668746657613637680302990,000$
3Jim SandlakX100.008374486281777770626965776166725050670281400,000$
4Dave Tippett (C)X100.006247756770737169667564806168731045670332900,000$
5Brent Fedyk (A)X100.005945816973757475647576656853495656670271575,000$
6Mikko MakelaX100.005439866675666769617173646765744056660291250,000$
7Terry YakeX100.006248836971697368646764786365676549660263660,000$
8Jamie Langenbrunner (R) (A)X100.006960626775777773557471727037449251660193450,000$
9Ronnie SternX100.008882366573737664646765796254485321650272429,000$
10Jane OjanenX100.007150737272616181697067586449576447650264733,000$
11Jozef StumpelX100.005646766778667067686964696537399146630221500,000$
12Pat PeakeX100.005342847172606465676761696144449323610212220,000$
13Gerald DiduckX100.007963626177767868606753814761684161680292800,000$
14Dean KennedyX100.007059566375747461566351814969772622670312793,000$
15Dimitri YushkevichX100.008474586775696878678071756244418558670231500,000$
16Tommy SjodinX100.005746736574656879688270726048504152650291580,000$
17Jeff NortonX100.006754656775697064627352765048424125640291225,000$
18Ryan McGill (R)X100.008672536776636455546442784038387341630254400,000$
Rayé
1Craig JohnsonX100.005647737075656868667469656437378428640231225,000$
2Niklas AnderssonX100.004735877369646871647166596236368520620232386,000$
3Matthew Barnaby (R)X100.008174486674656653535753765331369519590211350,000$
4Mark FreerX100.006451655869686862586762625933476318590261100,000$
5Craig CoxeX100.005757495780686855505652675061653519580301100,000$
6Adrien PlavsicX100.006851696675686863606960745733337720630241455,000$
7Janne Laukkanen (R)X99.205644817270656772627664735338317928630242400,000$
8Todd ReirdenX100.006046776381676863606752775024338519620232359,000$
9Aris Brimanis (R)X100.006549696877696769606443684141519020620223421,000$
10Cory Cross (R)X100.006764466380656754525644754341468520610232380,000$
11Jan Vopat (R)X100.005543836275596058586642744035379420590212300,000$
MOYENNE D’ÉQUIPE99.90665468667569706762696072574751643564
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 SP
1Wendell Young100.00678674727171758276697181842516730
2Vincent Riendeau100.00697883727573778578777356565040720
Rayé
1Milan Hnilicka100.00727475757479838883706731359319700
MOYENNE D’ÉQUIPE100.0069797773737478857972705658562572
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien69736676758586CAN32195,000$


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
1Bob ErreyHarvard (BOS)LW65234063-13401281311525113315.13%22144222.19914235225611262683154.09%47700000.8700000532
2Jim SandlakHarvard (BOS)RW81293160-8165352531171814213616.02%11142217.56914235427411251042253.60%12500020.8400223343
3Brent FedykHarvard (BOS)RW82312960-6240571052116215414.69%12148818.1661824503211014896250.29%17300000.8100000531
4Tommy SjodinHarvard (BOS)D82114657-161804911011551839.57%72165420.1771522863320112171100.00%000000.6900000202
5Terry YakeHarvard (BOS)C77243054-6135561921674812914.37%10142118.461211235228600021243249.55%179400000.7600001437
6Gerald DiduckHarvard (BOS)D81133447-11131520011314137769.22%101194824.069918893291121287210.00%000000.4800003304
7Jamie LangenbrunnerHarvard (BOS)RW82212445-1081151691051895214511.11%14121614.8305511770006620146.72%12200000.7400012022
8Dave TippettHarvard (BOS)LW77133144-1826067120172501457.56%15139918.17312152118100031844149.19%18500000.6300000225
9Jozef StumpelHarvard (BOS)C80132437-1517538175120398510.83%10130816.363811261950003980049.22%148100000.5700100000
10Janne LaukkanenHarvard (BOS)D6992837-3100258972164412.50%66131719.097714441680111173100.00%000000.5600000223
11Dean KennedyHarvard (BOS)D79102434-86601437776307513.16%95178722.6351116443010000271000.00%000000.3800000122
12Jeff NortonHarvard (BOS)D5671926-9415104493493320.59%42102018.22551017990000111100.00%000000.5100001021
13Mikko MakelaHarvard (BOS)LW8281725-62075513834885.80%292411.270449410000530146.38%6900000.5400000000
14Dimitri YushkevichHarvard (BOS)D3071825-47515815263162911.11%2563621.23641043114011184000.00%000000.7900120201
15Sergei NemchinovHarvard (BOS)LW3491322-7120189076336511.84%374621.9728102113401121193051.50%43300000.5900000002
16Adrien PlavsicHarvard (BOS)D4831114-20340703829142010.34%4782217.142131067000091100.00%000000.3400000010
17Ryan McGillHarvard (BOS)D6131114-911715149493082310.00%51103817.020221597000187010.00%000100.2700102010
18Jane OjanenHarvard (BOS)LW796713-1527556547923667.59%16738.52134449000002046.41%18100000.3900001010
19Craig JohnsonHarvard (BOS)LW734610-12409274110289.76%53785.1923512370000552040.00%7500000.5300000100
20Pat PeakeHarvard (BOS)C43347-102034826132211.54%34209.7800000000041045.19%44700000.3300000100
21Aris BrimanisHarvard (BOS)D18055-712012152350.00%928415.8100007000022000.00%000000.3500000000
22Ronnie SternHarvard (BOS)RW46213-739157620324196.25%32675.8200004000000157.14%2100000.2200021010
23Mark FreerHarvard (BOS)C1811202011152820.00%01407.7800000000001036.97%11900000.2900000100
24Matthew BarnabyHarvard (BOS)RW71011404321250.00%0273.9000001000020050.00%200000.7300000000
25Todd ReirdenHarvard (BOS)D14011-3201864490.00%1222916.39000211000035000.00%000000.0900000000
26Niklas AnderssonHarvard (BOS)LW16000-100035300.00%0402.5300016000000033.33%900000.0000000000
27Craig CoxeHarvard (BOS)C3000-100002000.00%0155.2700000000000035.71%1400000.0000000000
28Cory CrossHarvard (BOS)D2000100021010.00%23216.070000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1485251455706-201940130179318562165655162311.59%6332410616.238815424266334004711372506331349.14%572700120.59005714322735
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
1Wendell YoungHarvard (BOS)68293340.8693.4636624221116080210.0000676111
2Vincent RiendeauHarvard (BOS)233900.8902.9099321484360210.00001166101
3Milan HnilickaHarvard (BOS)62200.8872.9928100141240000.0000410000
Statistiques d’équipe totales ou en moyenne97344440.8743.3249376327321680420.00008282212


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adrien PlavsicHarvard (BOS)D241997-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm455,000$45,500$370$No
Aris BrimanisHarvard (BOS)D221999-02-09 9:08:37 PMYes210 Lbs6 ft3NoNoNo3Pro & Farm421,000$42,100$342$No421,000$421,000$
Bob ErreyHarvard (BOS)LW301991-02-09 9:08:37 PMNo180 Lbs5 ft10NoNoNo3Pro & Farm900,000$90,000$732$No900,000$900,000$
Brent FedykHarvard (BOS)RW271994-02-09 9:08:37 PMNo186 Lbs6 ft1NoNoNo1Pro & Farm575,000$57,500$467$No
Cory CrossHarvard (BOS)D231998-02-09 9:08:37 PMYes219 Lbs6 ft5NoNoNo2Pro & Farm380,000$38,000$309$No380,000$
Craig CoxeHarvard (BOS)C301991-02-09 9:08:37 PMNo220 Lbs6 ft4NoNoNo1Pro & Farm100,000$10,000$81$No
Craig JohnsonHarvard (BOS)LW231998-02-09 9:08:37 PMNo197 Lbs6 ft2NoNoNo1Pro & Farm225,000$22,500$183$No
Dave TippettHarvard (BOS)LW331988-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo2Pro & Farm900,000$90,000$732$No900,000$
Dean KennedyHarvard (BOS)D311990-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo2Pro & Farm793,000$79,300$645$No793,000$
Dimitri YushkevichHarvard (BOS)D231998-02-09 9:08:37 PMNo203 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$4,065$No
Gerald DiduckHarvard (BOS)D291992-02-09 9:08:37 PMNo216 Lbs6 ft1NoNoNo2Pro & Farm800,000$80,000$650$No800,000$
Jamie LangenbrunnerHarvard (BOS)RW192002-04-19 3:18:01 AMYes205 Lbs6 ft1NoNoNo3Pro & Farm450,000$45,000$366$No450,000$450,000$
Jan VopatHarvard (BOS)D212000-02-09 9:08:37 PMYes207 Lbs6 ft0NoNoNo2Pro & Farm300,000$30,000$244$No300,000$
Jane OjanenHarvard (BOS)LW261995-02-09 9:08:37 PMNo179 Lbs6 ft1NoNoNo4Pro & Farm733,000$73,300$596$No733,000$733,000$733,000$
Janne LaukkanenHarvard (BOS)D241997-02-09 9:08:37 PMYes180 Lbs6 ft0NoNoNo2Pro & Farm400,000$40,000$325$No400,000$
Jeff NortonHarvard (BOS)D291992-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo1Pro & Farm225,000$22,500$183$No
Jim SandlakHarvard (BOS)RW281993-02-09 9:08:37 PMNo219 Lbs6 ft4NoNoNo1Pro & Farm400,000$40,000$325$No
Jozef StumpelHarvard (BOS)C221999-02-09 9:08:37 PMNo216 Lbs6 ft3NoNoNo1Pro & Farm500,000$50,000$407$No
Mark FreerHarvard (BOS)C261995-02-09 9:08:37 PMNo180 Lbs5 ft10NoNoNo1Pro & Farm100,000$10,000$81$No
Matthew BarnabyHarvard (BOS)RW212000-02-09 9:08:37 PMYes195 Lbs6 ft1NoNoNo1Pro & Farm350,000$35,000$285$No
Mikko MakelaHarvard (BOS)LW291992-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo1Pro & Farm250,000$25,000$203$No
Milan HnilickaHarvard (BOS)G221999-02-09 9:08:37 PMNo180 Lbs6 ft0NoNoNo1Pro & Farm270,000$27,000$220$No
Niklas AnderssonHarvard (BOS)LW231998-02-09 9:08:37 PMNo175 Lbs5 ft9NoNoNo2Pro & Farm386,000$38,600$314$No386,000$
Pat PeakeHarvard (BOS)C212000-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo2Pro & Farm220,000$22,000$179$No220,000$
Ronnie SternHarvard (BOS)RW271994-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo2Pro & Farm429,000$42,900$349$No429,000$
Ryan McGillHarvard (BOS)D251996-02-09 9:08:37 PMYes197 Lbs6 ft2NoNoNo4Pro & Farm400,000$40,000$325$No400,000$400,000$400,000$
Sergei NemchinovHarvard (BOS)LW301991-02-09 9:08:37 PMNo210 Lbs6 ft0NoNoNo2Pro & Farm990,000$99,000$805$No990,000$
Terry YakeHarvard (BOS)C261995-02-09 9:08:37 PMNo185 Lbs5 ft11NoNoNo3Pro & Farm660,000$66,000$537$No660,000$660,000$
Todd ReirdenHarvard (BOS)D231998-02-09 9:08:37 PMNo220 Lbs6 ft5NoNoNo2Pro & Farm359,000$35,900$292$No359,000$
Tommy SjodinHarvard (BOS)D291992-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo1Pro & Farm580,000$58,000$472$No
Vincent RiendeauHarvard (BOS)G281993-02-09 9:08:37 PMNo181 Lbs5 ft10NoNoNo2Pro & Farm985,000$98,500$801$No985,000$
Wendell YoungHarvard (BOS)G311990-02-09 9:08:37 PMNo182 Lbs5 ft9NoNoNo1Pro & Farm750,000$75,000$610$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3225.78197 Lbs6 ft11.81493,313$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bob ErreyTerry YakeBrent Fedyk35122
2Sergei NemchinovJozef StumpelJim Sandlak30122
3Dave TippettPat PeakeJamie Langenbrunner20122
4Mikko MakelaBob ErreyRonnie Stern15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gerald DiduckDimitri Yushkevich35122
2Dean KennedyTommy Sjodin30122
3Jeff NortonRyan McGill20122
4Gerald DiduckDimitri Yushkevich15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bob ErreyTerry YakeBrent Fedyk60122
2Sergei NemchinovJozef StumpelJim Sandlak40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gerald DiduckDimitri Yushkevich60122
2Dean KennedyTommy Sjodin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Bob ErreySergei Nemchinov60122
2Dave TippettBrent Fedyk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gerald DiduckDimitri Yushkevich60122
2Dean KennedyTommy Sjodin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bob Errey60122Gerald DiduckDimitri Yushkevich60122
2Sergei Nemchinov40122Dean KennedyTommy Sjodin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Bob ErreySergei Nemchinov60122
2Dave TippettBrent Fedyk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gerald DiduckDimitri Yushkevich60122
2Dean KennedyTommy Sjodin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bob ErreyTerry YakeBrent FedykGerald DiduckDimitri Yushkevich
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bob ErreyTerry YakeBrent FedykGerald DiduckDimitri Yushkevich
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jane Ojanen, Mikko Makela, Jamie LangenbrunnerJane Ojanen, Mikko MakelaJamie Langenbrunner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeff Norton, Ryan McGill, Dean KennedyJeff NortonRyan McGill, Dean Kennedy
Tirs de pénalité
Bob Errey, Sergei Nemchinov, Dave Tippett, Brent Fedyk, Jim Sandlak
Gardien
#1 : Wendell Young, #2 : Vincent Riendeau


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
1Ailes Rouges413000001013-32020000057-22110000056-120.250101828008777860120732690744107821377222418.18%11463.64%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
2As403100001422-820200000612-620110000810-210.1251423372087778601087326907441010628507917423.53%19668.42%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
3Banshees615000001222-1031200000811-330300000411-720.16712243600877786013773269074410197496214019210.53%23482.61%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
4Canadiens835000002632-64220000016160413000001016-660.3752650760087778602497326907441023682151234501326.00%481079.17%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
5Chiefs835000002526-1422000001612441300000914-560.375254570018777860206732690744102397082166541018.52%411075.61%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
6Citadelles64110000201283300000012483111000088090.75020375700877786014373269074410166555012828517.86%24291.67%11370275249.78%1285266248.27%639133747.79%1936129919316471078531
7Croque-Morts41300000819-1120200000212-102110000067-120.250814220087778601107326907441011131398516318.75%17476.47%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
8Isotopes8620000026179440000001587422000001192120.75026467200877786023673269074410179497716039923.08%36488.89%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
9Mooses431000001679220000009272110000075260.7501631470187778601197326907441010329387817635.29%19194.74%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
10Pacifiques de la route4220000013112211000007702110000064240.500132437008777860101732690744107620329125416.00%10190.00%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
11Riverman412001001221-92100010099020200000312-930.3751221330087778601107326907441011230389219526.32%18666.67%11370275249.78%1285266248.27%639133747.79%1936129919316471078531
12Snipers412001001319-620100100510-52110000089-130.375132336008777860927326907441010425489112325.00%20575.00%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
13Spoonman's8421010025205422000009814201010016124100.6252543680187778601987326907441020148160201571119.30%55983.64%11370275249.78%1285266248.27%639133747.79%1936129919316471078531
14Weetouches6411000023176321000001210232010000117490.75023426500877786016573269074410155329513531516.13%29293.10%11370275249.78%1285266248.27%639133747.79%1936129919316471078531
15Wolves40400000717-1020200000410-62020000037-400.0007132000877786082732690744101073332811000.00%16475.00%01370275249.78%1285266248.27%639133747.79%1936129919316471078531
Total82344140300250275-2541201900200135138-341142240100115137-22750.457250454704238777860217673269074410217060299118334168420.19%3867281.35%41370275249.78%1285266248.27%639133747.79%1936129919316471078531
_Since Last GM Reset82384100300250275-2541201900200135138-341182200100115137-22790.482250454704238777860217673269074410217060299118334168420.19%3867281.35%41370275249.78%1285266248.27%639133747.79%1936129919316471078531
_Vs Conference50282100100157146112516900000886919251212001006977-8570.570157287444028777860133473269074410137338567711642785519.78%2564183.98%31370275249.78%1285266248.27%639133747.79%1936129919316471078531
_Vs Division241112001007678-2126600000413651256001003542-7230.47976138214028777860653732690744106762003936011613421.12%1442979.86%11370275249.78%1285266248.27%639133747.79%1936129919316471078531

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8275OTL125045470421762170602991183323
Tous les matchs
GPWLOTWOTL TGFGA
823441034250275
Matchs locaux
GPWLOTWOTL TGFGA
412019020135138
Matchs extérieurs
GPWLOTWOTL TGFGA
411422014115137
Derniers 10 matchs
WLOTWOTL T
45010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4168420.19%3867281.35%4
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
732690744108777860
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
1370275249.78%1285266248.27%639133747.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1936129919316471078531


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
1 - 2021-05-046Spoonman's3Harvard1LSommaire du match
2 - 2021-05-0514Harvard2Chiefs1WSommaire du match
3 - 2021-05-0618Harvard3Isotopes1WSommaire du match
4 - 2021-05-0724Harvard3Spoonman's3TXSommaire du match
6 - 2021-05-0931Canadiens5Harvard3LSommaire du match
7 - 2021-05-1042Harvard2Canadiens5LSommaire du match
8 - 2021-05-1148Chiefs4Harvard2LSommaire du match
9 - 2021-05-1261Banshees2Harvard4WSommaire du match
11 - 2021-05-1470Spoonman's1Harvard4WSommaire du match
13 - 2021-05-1677Harvard1Chiefs2LSommaire du match
15 - 2021-05-1884Isotopes1Harvard3WSommaire du match
17 - 2021-05-2087Harvard2Citadelles3LSommaire du match
19 - 2021-05-22101Canadiens2Harvard4WSommaire du match
21 - 2021-05-24110Harvard5As5TXSommaire du match
23 - 2021-05-26118Harvard3Riverman7LSommaire du match
25 - 2021-05-28123Harvard6Spoonman's4WSommaire du match
27 - 2021-05-30128Isotopes2Harvard3WSommaire du match
29 - 2021-06-01138Wolves5Harvard3LSommaire du match
30 - 2021-06-02146Isotopes2Harvard4WSommaire du match
33 - 2021-06-05159Harvard6Mooses2WSommaire du match
34 - 2021-06-06166Harvard6Snipers4WSommaire du match
35 - 2021-06-07174Snipers3Harvard2LXSommaire du match
36 - 2021-06-08181Harvard5Weetouches2WSommaire du match
38 - 2021-06-10190Wolves5Harvard1LSommaire du match
40 - 2021-06-12197Harvard3Weetouches2WSommaire du match
42 - 2021-06-14204Ailes Rouges3Harvard2LSommaire du match
44 - 2021-06-16214Snipers7Harvard3LSommaire du match
46 - 2021-06-18222Harvard2Wolves4LSommaire du match
48 - 2021-06-20229Harvard3Weetouches3TXSommaire du match
50 - 2021-06-22237Weetouches4Harvard5WSommaire du match
53 - 2021-06-25246Canadiens7Harvard5LSommaire du match
54 - 2021-06-26255Harvard2Banshees4LSommaire du match
55 - 2021-06-27263Riverman5Harvard4LXSommaire du match
57 - 2021-06-29272Harvard2Isotopes3LSommaire du match
58 - 2021-06-30279Banshees6Harvard2LSommaire du match
59 - 2021-07-01286Harvard3Chiefs5LSommaire du match
60 - 2021-07-02294Weetouches4Harvard3LSommaire du match
61 - 2021-07-03300Harvard4Ailes Rouges3WSommaire du match
62 - 2021-07-04310Harvard1Wolves3LSommaire du match
64 - 2021-07-06317Croque-Morts3Harvard1LSommaire du match
65 - 2021-07-07325Harvard3As5LSommaire du match
66 - 2021-07-08333Weetouches2Harvard4WSommaire du match
69 - 2021-07-11342Mooses0Harvard6WSommaire du match
70 - 2021-07-12351Harvard1Mooses3LSommaire du match
71 - 2021-07-13358Harvard2Snipers5LSommaire du match
74 - 2021-07-16366As7Harvard3LSommaire du match
75 - 2021-07-17373Harvard6Canadiens3WSommaire du match
76 - 2021-07-18380Citadelles1Harvard3WSommaire du match
78 - 2021-07-20391Banshees3Harvard2LSommaire du match
79 - 2021-07-21398Harvard5Pacifiques de la route1WSommaire du match
80 - 2021-07-22407Chiefs0Harvard6WSommaire du match
82 - 2021-07-24416Harvard2Isotopes3LSommaire du match
83 - 2021-07-25423Croque-Morts9Harvard1LSommaire du match
84 - 2021-07-26430Harvard1Canadiens4LSommaire du match
86 - 2021-07-28438Ailes Rouges4Harvard3LSommaire du match
88 - 2021-07-30447Harvard1Canadiens4LSommaire du match
89 - 2021-07-31452As5Harvard3LSommaire du match
91 - 2021-08-02462Harvard4Isotopes2WSommaire du match
92 - 2021-08-03471Citadelles2Harvard4WSommaire du match
93 - 2021-08-04482Harvard2Citadelles1WSommaire du match
94 - 2021-08-05487Canadiens2Harvard4WSommaire du match
96 - 2021-08-07494Harvard0Banshees4LSommaire du match
97 - 2021-08-08504Citadelles1Harvard5WSommaire du match
98 - 2021-08-09512Harvard4Citadelles4TXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
99 - 2021-08-10516Harvard3Chiefs6LSommaire du match
100 - 2021-08-11525Pacifiques de la route4Harvard2LSommaire du match
102 - 2021-08-13533Pacifiques de la route3Harvard5WSommaire du match
103 - 2021-08-14544Harvard2Croque-Morts4LSommaire du match
104 - 2021-08-15550Riverman4Harvard5WSommaire du match
105 - 2021-08-16560Harvard4Croque-Morts3WSommaire du match
106 - 2021-08-17566Harvard0Riverman5LSommaire du match
107 - 2021-08-18573Spoonman's0Harvard3WSommaire du match
109 - 2021-08-20585Mooses2Harvard3WSommaire du match
111 - 2021-08-22595Spoonman's4Harvard1LSommaire du match
112 - 2021-08-23598Harvard2Banshees3LSommaire du match
113 - 2021-08-24606Harvard1Pacifiques de la route3LSommaire du match
114 - 2021-08-25610Harvard1Ailes Rouges3LSommaire du match
115 - 2021-08-26620Chiefs6Harvard4LSommaire du match
117 - 2021-08-28630Chiefs2Harvard4WSommaire du match
118 - 2021-08-29635Harvard4Spoonman's1WSommaire du match
120 - 2021-08-31647Isotopes3Harvard5WSommaire du match
121 - 2021-09-01651Harvard3Spoonman's4LXSommaire du match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,678,287$ 2,028,600$ 2,028,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,028,600$ 1,678,287$ 32 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 17,265$ 17,265$




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