Marlies
GP: 82 | W: 38 | L: 38 | OTL: 6 | P: 82
GF: 293 | GA: 304 | PP%: 17.93% | PK%: 78.09%
DG: Guillaume Jacob | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Marlies
38-38-6, 82pts
4
FINAL
1 Griffins
45-34-3, 93pts
Team Stats
L1StreakW1
24-14-3Home Record24-16-1
14-24-3Away Record21-18-2
3-6-1Last 10 Games5-5-0
3.57Buts par match 3.62
3.71Buts contre par match 3.57
17.93%Pourcentage en avantage numérique19.83%
78.09%Pourcentage en désavantage numérique79.28%
Bruins
44-31-7, 95pts
4
FINAL
1 Marlies
38-38-6, 82pts
Team Stats
W1StreakL1
26-13-2Home Record24-14-3
18-18-5Away Record14-24-3
7-3-0Last 10 Games3-6-1
3.88Buts par match 3.57
3.63Buts contre par match 3.71
23.48%Pourcentage en avantage numérique17.93%
77.30%Pourcentage en désavantage numérique78.09%
Meneurs d'équipe
Buts
Jesse Puljujarvi
42
Vitali KravtsovPasses
Vitali Kravtsov
34
Points
Jesse Puljujarvi
74
Plus/Moins
Jesse Puljujarvi
19
Victoires
Daniil Tarasov
38
Adam HuskaPourcentage d’arrêts
Adam Huska
0.932

Statistiques d’équipe
Buts pour
293
3.57 GFG
Tirs pour
3135
38.23 Avg
Pourcentage en avantage numérique
17.9%
45 GF
Début de zone offensive
41.0%
Buts contre
304
3.71 GAA
Tirs contre
3088
37.66 Avg
Pourcentage en désavantage numérique
78.1%
55 GA
Début de la zone défensive
40.8%
Information d’équipe

Directeur généralGuillaume Jacob
EntraîneurKirk Muller
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,953
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs15


Historique d'équipe

Saison actuelle38-38-6 (82PTS)
Historique741-601-143 (0.499%)
Apparitions séries éliminatoires 7
Historique séries éliminatoires (W-L)25-37
Stanley Cup0


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
1Adam Cracknell (R)0X100.00763790658585906377666164628676075670363925,000$
2Kristian Vesalainen0XX100.00573592658581847058676261686366075650221920,000$
3Emile Poirier0XX100.00715670588082875653555756547367075600272850,000$
4Mason Jobst0XX100.00564284576571765974575856587367075600272700,000$
5Jake Lucchini0X100.00603591546981865455545654557166075590262700,000$
6Gerry Fitzgerald0X100.00623590546272775456535751567568075580282700,000$
7Mike Liambas0X100.00687957546975805352515455538072075580322700,000$
8Mitchell McLain0X100.00653662567469715462535755587568075580282700,000$
9Brian Lashoff0X100.00735178598676715830615665487977075630312700,000$
10Logan Day0X100.00705174647975805830625559487368075620272700,000$
11Josiah Didier0X100.00725769548174795430575257467568075590281975,000$
Rayé
1Adam Ruzicka0XXX100.00525966618776816373646162636461075620222925,000$
2Joseph LaBate0X100.00827157589179845861585863587568075620281975,000$
3Brent Pedersen0X100.00733593558268735753555456527165075600261700,000$
4Jarrett Burton0X100.00634681557276815254525553537971075590312700,000$
5Jacob Nilsson0XX100.00573986556688935559575553557568075590281700,000$
6Jacob Doty0XX100.00747154528360655358555657527568075580282700,000$
7Jacob Pritchard0X100.00643592537364695356555354537166075580262700,000$
8Parker MacKay0X100.00623589537076755250515453557367075580272700,000$
9Jarid Lukosevicius0X100.00584382536762675358525652557166075570262700,000$
10Calen Addison (R)0X100.00563594656983776630645862546163075630213925,000$
11Roland McKeown0X100.00674372627688935830605459466872075620251700,000$
12Philip Holm0X100.00663974597562675830625657487870075610302700,000$
13TJ Brennan0X100.00725664608166715830595256458072075600322700,000$
14Matt Mangene0X100.00613876597078735630595254468072075600322700,000$
MOYENNE D’ÉQUIPE100.0065467758767578575058565754746807560
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
1Adam Huska100.0070858389696870696870696771075630241700,000$
2Daniil Tarasov (R)100.0072788082717072717072716367075630223925,000$
Rayé
1Tom McCollum100.0068716984676668676668678086075630321999,000$
MOYENNE D’ÉQUIPE100.007078778569687069687069707507563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller70696566837765CAN551600,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Adam CracknellMarlies (TOR)C8226689421200179286339992407.67%36194723.75214165622210182542260.33%250300000.9704000558
2Kristian VesalainenMarlies (TOR)LW/RW8239498816402817432910124111.85%29176021.4748126022300031588050.56%26900011.0003000364
3Jesse PuljujarviMaple LeafsRW57423274194351791423829724310.99%14141324.8055105514600081567349.91%52900141.05120001045
4Vitali KravtsovMaple LeafsLW72313465120171523561102668.71%26142719.834711541710002993150.36%13900020.9101000351
5Adam RuzickaMarlies (TOR)C/LW/RW56164157516047131202551747.92%12105318.813811281400110251158.36%105900011.0800000343
6Emile PoirierMarlies (TOR)LW/RW82233154-1520262792007612211.50%13153018.668715392080001123142.42%9900010.7100000024
7Mason JobstMarlies (TOR)C/LW82262551-1080502082346716711.11%21137216.7424615971013582255.40%172200000.7401000450
8Philip HolmMarlies (TOR)D776313711240116696630559.09%87142918.56156241390000145200.00%000000.5200000022
9Calen AddisonMarlies (TOR)D6172835-4180459010138746.93%84144023.62347541660000157000.00%000000.4900000020
10Greg McKeggMaple LeafsC/LW/RW24121830-420479112228809.84%1256123.39371023750114880057.80%63500011.0701000231
11Jake LucchiniMarlies (TOR)LW79101424-181604775166461086.02%1896712.250116300000342145.69%11600010.5000000100
12Josiah DidierMarlies (TOR)D6512223-15955171694818342.08%7299715.351341239000166000.00%000000.4600010101
13Roland McKeownMarlies (TOR)D4441721453594435115437.84%6486719.7103322890001701025.00%400000.4800001001
14Brian LashoffMarlies (TOR)D4341317-2535133486028616.67%71100523.39202301260110101000.00%000100.3400100000
15Logan DayMarlies (TOR)D44511165260106566222428.06%5385719.483142796000189100.00%000000.3700000002
16Joseph LaBateMarlies (TOR)LW339716-5355944710431748.65%447414.38000240000110062.50%4000000.6700001300
17Matt MangeneMarlies (TOR)D4731215-51554627387247.89%5464513.740116190000211050.00%200000.4600100002
18Mike LiambasMarlies (TOR)LW335510010027213472814.71%62206.6710121000020066.67%600000.9100000010
19Mitchell McLainMarlies (TOR)C23268-1002327349215.88%112169.4000013000070055.33%15000000.7400000111
20Brent PedersenMarlies (TOR)LW233360607293811287.89%233314.4800011000000050.18%27100000.3600000000
21Gerry FitzgeraldMarlies (TOR)C33336-52014323313159.09%72547.71000416000020054.19%15500000.4700000001
22Jacob DotyMarlies (TOR)C/RW27123-1121577224716242.13%1036313.4500024000040151.72%2900000.1700001010
Statistiques d’équipe totales ou en moyenne116927847275015213518091918304692421649.13%7062113918.0842781205232026235321572331256.46%7728002110.71112213364136
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
1Daniil TarasovMarlies (TOR)82383760.9023.6647260328829380230.72711820723
2Adam HuskaMarlies (TOR)80100.9322.7921500101470000.0000082000
Statistiques d’équipe totales ou en moyenne90383860.9033.6249420329830850230.727118282723


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 Salaire restantSalaire moyenSalaire moyen restantPlafond 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
Adam CracknellMarlies (TOR)C367/15/1985Yes209 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien
Adam HuskaMarlies (TOR)G245/12/1997No227 Lbs6 ft3NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Adam RuzickaMarlies (TOR)C/LW/RW225/11/1999No202 Lbs6 ft4NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Brent PedersenMarlies (TOR)LW267/5/1995No210 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Brian LashoffMarlies (TOR)D317/16/1990No213 Lbs6 ft3NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Calen AddisonMarlies (TOR)D214/11/2000Yes180 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Daniil TarasovMarlies (TOR)G225/27/1999Yes180 Lbs6 ft4NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Emile PoirierMarlies (TOR)LW/RW2712/14/1994No196 Lbs6 ft2NoNoNo2Pro & Farm850,000$4,696$850,000$4,696$0$0$No850,000$Lien / Lien NHL
Gerry FitzgeraldMarlies (TOR)C288/26/1993No170 Lbs5 ft8NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jacob DotyMarlies (TOR)C/RW286/19/1993No212 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jacob NilssonMarlies (TOR)C/LW2810/12/1993No180 Lbs5 ft10NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Jacob PritchardMarlies (TOR)LW264/9/1995No193 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jake LucchiniMarlies (TOR)LW265/9/1995No183 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jarid LukoseviciusMarlies (TOR)RW262/5/1995No185 Lbs5 ft10NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jarrett BurtonMarlies (TOR)C3112/30/1990No190 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Joseph LaBateMarlies (TOR)LW284/16/1993No210 Lbs6 ft5NoNoNo1Pro & Farm975,000$5,387$975,000$5,387$0$0$NoLien / Lien NHL
Josiah DidierMarlies (TOR)D284/8/1993No202 Lbs6 ft2NoNoNo1Pro & Farm975,000$5,387$975,000$5,387$0$0$NoLien / Lien NHL
Kristian VesalainenMarlies (TOR)LW/RW226/1/1999No207 Lbs6 ft3NoNoNo1Pro & Farm920,000$5,083$920,000$5,083$0$0$NoLien / Lien NHL
Logan DayMarlies (TOR)D279/19/1994No209 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Mason JobstMarlies (TOR)C/LW272/17/1994No185 Lbs5 ft8NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Matt MangeneMarlies (TOR)D323/12/1989No190 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Mike LiambasMarlies (TOR)LW322/16/1989No195 Lbs5 ft10NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Mitchell McLainMarlies (TOR)C2812/9/1993No196 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Parker MacKayMarlies (TOR)RW276/10/1994No190 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Philip HolmMarlies (TOR)D3012/8/1991No190 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Roland McKeownMarlies (TOR)D251/20/1996No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$3,867$715,000$3,950$0$0$NoLien / Lien NHL
TJ BrennanMarlies (TOR)D324/3/1989No216 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Tom McCollumMarlies (TOR)G3212/7/1989No220 Lbs6 ft2NoNoNo1Pro & Farm999,000$5,519$999,000$5,519$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.57198 Lbs6 ft11.82775,679$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kristian VesalainenAdam CracknellEmile Poirier40122
2Jake LucchiniMason JobstGerry Fitzgerald30122
3Mike LiambasMitchell McLain20122
4Adam CracknellGerry FitzgeraldKristian Vesalainen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LashoffLogan Day40122
2Josiah Didier30122
320122
4Brian LashoffLogan Day10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kristian VesalainenAdam CracknellEmile Poirier60122
2Jake LucchiniMason JobstGerry Fitzgerald40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LashoffLogan Day60122
2Josiah Didier40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam CracknellKristian Vesalainen60122
2Mason JobstEmile Poirier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LashoffLogan Day60122
2Josiah Didier40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Cracknell60122Brian LashoffLogan Day60122
2Kristian Vesalainen40122Josiah Didier40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam CracknellKristian Vesalainen60122
2Mason JobstEmile Poirier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brian LashoffLogan Day60122
2Josiah Didier40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kristian VesalainenAdam CracknellEmile PoirierBrian LashoffLogan Day
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kristian VesalainenAdam CracknellEmile PoirierBrian LashoffLogan Day
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitchell McLain, Mike Liambas, Jake LucchiniMitchell McLain, Mike LiambasJake Lucchini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Josiah Didier, Brian LashoffJosiah Didier, Brian Lashoff
Tirs de pénalité
Adam Cracknell, Kristian Vesalainen, Mason Jobst, Emile Poirier, Jake Lucchini
Gardien
#1 : Daniil Tarasov, #2 : Adam Huska
Lignes d’attaque personnalisées en prolongation
Adam Cracknell, Kristian Vesalainen, Mason Jobst, Emile Poirier, Jake Lucchini, Mitchell McLain, Mitchell McLain, Mike Liambas, Gerry Fitzgerald, ,
Lignes de défense personnalisées en prolongation
Brian Lashoff, Logan Day, , Josiah Didier,


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
1Admirals20101000611-5100010005411010000017-620.500611170011097806639991110100928771914545240.00%7271.43%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
2Americans40400000617-112020000037-420200000310-700.000610160011097806118999111010092813948311131218.33%13376.92%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
3Barracuda2020000038-51010000035-21010000003-300.0003690011097806599991110100928761514456116.67%60100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
4Bears30300000815-71010000046-22020000049-500.00081220101109780699999111010092812325165614428.57%7185.71%11790311257.52%1661309853.62%740138253.55%1974139519485791025508
5Bruins311010007612010100046-21100000030340.66771320011109780612699911101009281273018641000.00%8362.50%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
6Checkers30200001912-31010000034-12010000168-210.16791827001109780611099911101009281423918916116.67%9455.56%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
7Comets211000009811010000045-11100000053220.500916250011097806869991110100928722717587114.29%60100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
8Condors2020000028-61010000024-21010000004-400.000235001109780644999111010092887342447400.00%12466.67%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
9Crunch4220000016160211000008802110000088040.50016294500110978061799991110100928145412084500.00%9277.78%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
10Devils3210000013103220000009541010000045-140.667132134001109780611699911101009281103328788337.50%13192.31%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
11Eagles2010100056-1100010003211010000024-220.50058130011097806829991110100928902316491317.69%8275.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
12Firebirds20200000610-41010000036-31010000034-100.000611170011097806669991110100928681812348112.50%5180.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
13Griffins42100100161332010010069-322000000104650.625162642101109780614099911101009281333332938450.00%14285.71%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
14Gulls22000000945110000004221100000052341.00091524001109780673999111010092864161452300.00%7357.14%11790311257.52%1661309853.62%740138253.55%1974139519485791025508
15Heat2100010011101110000005321000010067-130.7501122330011097806819991110100928742224425120.00%10460.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
16IceHogs20200000711-41010000046-21010000035-200.000712191011097806699991110100928802510505120.00%5180.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
17Monsters3300000014861100000043122000000105561.0001422360011097806167999111010092810528148212325.00%60100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
18Moose21100000880110000005321010000035-220.500815230011097806769991110100928842010496116.67%5180.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
19Penguins321000001082220000008441010000024-240.6671018280011097806112999111010092895368599222.22%40100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
20Phantoms31200000813-51100000041320200000412-820.3338142200110978069499911101009281123324851119.09%11554.55%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
21Reign210000101147100000105411100000060641.0001119300111097806709991110100928811137558112.50%8187.50%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
22Roadrunners21100000972110000006331010000034-120.5009152400110978061029991110100928872814533133.33%70100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
23Rocket43100000201642200000012842110000088060.75020365600110978061869991110100928151421290700.00%60100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
24Senators42200000131302200000010552020000038-540.500132437001109780613999911101009281484544941616.25%16287.50%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
25Silver Knights220000001697110000007341100000096341.00016274300110978061269991110100928651610525120.00%5260.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
26Sound Tigers3120000089-11010000035-22110000054120.33381220011109780611899911101009289729207213430.77%7185.71%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
27Stars210000018711000000134-11100000053230.750813210011097806729991110100928711714481119.09%6266.67%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
28Thunderbirds20101000880100010005411010000034-120.500814220011097806859991110100928721610298337.50%5180.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
29Wild20200000410-61010000025-31010000025-300.0004711001109780662999111010092871181654400.00%8275.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
30Wolf Pack320001001073210001005501100000052350.8331019290011097806107999111010092811144146713430.77%70100.00%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
31Wolves31001001131212100100010821000000134-150.833132336001109780610899911101009281313724616116.67%11554.55%01790311257.52%1661309853.62%740138253.55%1974139519485791025508
Total82323805313293304-11411814052111591471241142400102134157-23820.500293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
_Since Last GM Reset82323805313293304-11411814052111591471241142400102134157-23820.500293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
_Vs Conference46182501101152167-1523129011008678823616000016689-23400.435152268420121109780617589991110100928172751829610981422416.90%1282382.03%11790311257.52%1661309853.62%740138253.55%1974139519485791025508
_Vs Division261013000008793-61375000004647-11338000004146-5200.385871562431111097806998999111010092898527817562964710.94%751678.67%01790311257.52%1661309853.62%740138253.55%1974139519485791025508

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8282L129351180431353088868579196033
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8232385313293304
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118145211159147
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114240102134157
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2514517.93%2515578.09%2
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
999111010092811097806
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
1790311257.52%1661309853.62%740138253.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1974139519485791025508


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
2 - 2021-10-133Rocket5Marlies7BWSommaire du match
3 - 2021-10-149Marlies1Senators4ALSommaire du match
5 - 2021-10-1623Senators1Marlies4BWSommaire du match
7 - 2021-10-1835Wolf Pack4Marlies3BLXSommaire du match
11 - 2021-10-2262Barracuda5Marlies3BLSommaire du match
12 - 2021-10-2374Marlies2Penguins4ALSommaire du match
14 - 2021-10-2587Marlies3Wolves4ALXXSommaire du match
16 - 2021-10-2799Marlies3IceHogs5ALSommaire du match
19 - 2021-10-30121Griffins5Marlies3BLSommaire du match
22 - 2021-11-02135Silver Knights3Marlies7BWSommaire du match
24 - 2021-11-04149Crunch5Marlies4BLSommaire du match
26 - 2021-11-06166Bruins2Marlies3BWXSommaire du match
28 - 2021-11-08181Reign4Marlies5BWXXSommaire du match
30 - 2021-11-10192Marlies2Phantoms4ALSommaire du match
32 - 2021-11-12206Heat3Marlies5BWSommaire du match
33 - 2021-11-13213Marlies0Americans4ALSommaire du match
36 - 2021-11-16232Admirals4Marlies5BWXSommaire du match
38 - 2021-11-18248Wolf Pack1Marlies2BWSommaire du match
40 - 2021-11-20265Penguins3Marlies4BWSommaire du match
41 - 2021-11-21277Marlies4Sound Tigers0AWSommaire du match
44 - 2021-11-24300Marlies6Reign0AWSommaire du match
46 - 2021-11-26316Marlies0Barracuda3ALSommaire du match
48 - 2021-11-28332Marlies5Gulls2AWSommaire du match
51 - 2021-12-01347Eagles2Marlies3BWXSommaire du match
54 - 2021-12-04369Marlies2Wild5ALSommaire du match
55 - 2021-12-05379Marlies3Moose5ALSommaire du match
57 - 2021-12-07388Monsters3Marlies4BWSommaire du match
59 - 2021-12-09402Crunch3Marlies4BWSommaire du match
61 - 2021-12-11422IceHogs6Marlies4BLSommaire du match
64 - 2021-12-14448Marlies0Condors4ALSommaire du match
66 - 2021-12-16462Marlies6Heat7ALXSommaire du match
68 - 2021-12-18472Marlies5Comets3AWSommaire du match
69 - 2021-12-19487Marlies3Firebirds4ALSommaire du match
73 - 2021-12-23508Thunderbirds4Marlies5BWXSommaire du match
77 - 2021-12-27528Marlies5Monsters2AWSommaire du match
79 - 2021-12-29545Penguins1Marlies4BWSommaire du match
82 - 2022-01-01571Senators4Marlies6BWSommaire du match
84 - 2022-01-03584Wolves5Marlies6BWXSommaire du match
86 - 2022-01-05596Condors4Marlies2BLSommaire du match
87 - 2022-01-06601Marlies3Rocket5ALSommaire du match
89 - 2022-01-08615Marlies2Eagles4ALSommaire du match
92 - 2022-01-11643Marlies9Silver Knights6AWSommaire du match
93 - 2022-01-12649Marlies3Roadrunners4ALSommaire du match
96 - 2022-01-15670Marlies3Thunderbirds4ALSommaire du match
98 - 2022-01-17687Devils1Marlies4BWSommaire du match
100 - 2022-01-19702Marlies5Wolf Pack2AWSommaire du match
103 - 2022-01-22724Sound Tigers5Marlies3BLSommaire du match
107 - 2022-01-26752Gulls2Marlies4BWSommaire du match
110 - 2022-01-29778Marlies6Griffins3AWSommaire du match
113 - 2022-02-01798Marlies4Devils5ALSommaire du match
116 - 2022-02-04815Wild5Marlies2BLSommaire du match
118 - 2022-02-06832Griffins4Marlies3BLXSommaire du match
120 - 2022-02-08849Marlies0Bears3ALSommaire du match
122 - 2022-02-10860Americans3Marlies2BLSommaire du match
125 - 2022-02-13885Comets5Marlies4BLSommaire du match
127 - 2022-02-15901Marlies5Monsters3AWSommaire du match
128 - 2022-02-16910Firebirds6Marlies3BLSommaire du match
130 - 2022-02-18917Roadrunners3Marlies6BWSommaire du match
133 - 2022-02-21942Marlies3Americans6ALSommaire du match
135 - 2022-02-23953Stars4Marlies3BLXXSommaire du match
137 - 2022-02-25968Wolves3Marlies4BWSommaire du match
139 - 2022-02-27989Marlies1Admirals7ALSommaire du match
143 - 2022-03-031014Devils4Marlies5BWSommaire du match
146 - 2022-03-061038Marlies5Rocket3AWSommaire du match
147 - 2022-03-071052Checkers4Marlies3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091059Marlies3Bruins0AWSommaire du match
151 - 2022-03-111075Moose3Marlies5BWSommaire du match
153 - 2022-03-131095Marlies2Phantoms8ALSommaire du match
155 - 2022-03-151110Marlies2Crunch4ALSommaire du match
156 - 2022-03-161115Marlies2Checkers3ALSommaire du match
158 - 2022-03-181133Marlies5Stars3AWSommaire du match
160 - 2022-03-201146Rocket3Marlies5BWSommaire du match
163 - 2022-03-231164Americans4Marlies1BLSommaire du match
165 - 2022-03-251183Bears6Marlies4BLSommaire du match
167 - 2022-03-271201Marlies2Senators4ALSommaire du match
168 - 2022-03-281213Marlies1Sound Tigers4ALSommaire du match
170 - 2022-03-301219Phantoms1Marlies4BWSommaire du match
172 - 2022-04-011239Marlies6Crunch4AWSommaire du match
174 - 2022-04-031253Marlies4Checkers5ALXXSommaire du match
175 - 2022-04-041266Marlies4Bears6ALSommaire du match
177 - 2022-04-061278Marlies4Griffins1AWSommaire du match
180 - 2022-04-091299Bruins4Marlies1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,71840,362
Assistance PCT98.44%98.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2953 - 98.44% 79,981$3,279,225$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,927,695$ 2,171,900$ 2,060,900$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,999$ 2,317,484$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 15,314$ 15,314$




Marlies Leaders statistiques (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
1Chad Rau507148212360-44507071055127011.65%250939218.532767941246064320650.58%40.77531
2Jerome Samson499164188352-39153755823158410.35%243864917.33425810016532531261241.96%50.81834
3Emile Poirier6041531903431062701165607140610.88%1061022016.92253257205011921746.78%30.6749
4Ben Street437107168275117344986111379.41%104731616.742639651151121921454.31%10.75731
5Brett Olson45296168264-1011353279394910.12%124696215.402757841151011912852.90%10.76413

Marlies 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
1Kristers Gudlevskis24212480170.9152.6913464231260370762510960.74370
2Michael Leighton138894060.9132.438042101732637650310.66736
3Justin Pogge1516858220.9083.04895134445349242536910.70872
4Adam Huska138595890.9023.65753814545946680110.78919
5Mike Condon1385640140.9082.7368561483123380705300.69265

Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
5804030011262762591740279000131501005040132101113126159-3393276465741170689710827460748100098226601002160120112255524.44%2204679.09%4739162445.50%806170247.36%627130747.97%1478685192410021731820
68039270325430726047402211030131641323240171600241143128151003074998061207911710327900886960922238983898722572166530.09%2335377.25%6864178148.51%802171046.90%666133250.00%1628817385720421692827
776312801655223219438141500414103110-738171301241120109118522335057303056768520230635681681230873068217791434531.47%1943780.93%6744141052.77%746150149.70%569108052.69%143364614967861687846
876283002745240251-1138131601233106117-1138151401512134134080240378618130511018224230750852793251980598518891714023.39%2316472.29%4837167350.03%896174051.49%572110451.81%147571615457711592790
980273803327260297-3740161901103137143-640111902224123154-31742604136731006292101275307671023942268989382422091954523.08%2204878.18%6943190449.53%938182451.43%616119651.51%162382215907991642810
1080352502657220208124016120134410710344019130131311310589722034656605040938024650694906829259887059620141883820.21%1983681.82%4899171352.48%896177450.51%506102249.51%153671016118321727860
11802334061124190232-424013160541199105-64010180171391127-367719030249265029668719950500685777245482559317831685633.33%2115872.51%4767147152.14%768161147.67%44597745.55%146061115948381809918
1276253700725211252-4138131600423108119-1138122100302103133-306621134755843033977924930673955840250084966120662116028.44%2396971.13%4859168950.86%824163450.43%510104648.76%147669915317881602785
1380233402795202245-4340121801252105126-214011160154397119-228020231251432050707122730638756847265991059419111564226.92%2325675.86%5781156549.90%910184049.46%499103748.12%146764416468481766878
1480283903316234267-3340112201015115134-1940171702301119133-147323438161532049988324210678886830265384066219151936734.72%1664970.48%2864166951.77%813166048.98%558111949.87%150770216188201715861
15803327042862932642940191001163153131224014170312314013379829349478742074119883249010331229962290391146622522076229.95%1443675.00%31010199050.75%921183350.25%596120549.46%172995115927771568773
167635220426722919138382160223412589363814160203310410229922939862709081667224640833773823201954036613282755921.45%1673678.44%11367258252.94%1178225852.17%591111553.00%190713311738562993505
1780363201524219201184018160120310810264018160032111199128721940262125088745425000831814835229767339114652505220.80%1823282.42%11425270352.72%1311253151.80%650123152.80%1948133918345901056534
18765019030222511569538241002011124804438269010111277651112251454705014098816725600846865837197561228413072405121.25%1322382.58%21447260555.55%1164219153.13%659117656.04%197614011626531984519
198237310633226524223412110042311431123141162102101122130-89726548875323098797923350757794754248874948014931954824.62%1924576.56%21241249649.72%1207264645.62%659133149.51%1934133119586061078535
20823237034242512456411717022121361231341152001212115122-78225144569604097767327220915857934260773871720293036722.11%3187277.36%41542299351.52%1437290049.55%649127350.98%1925131419656291067531
2182363502405289305-1641191901101147148-141171601304142157-15852895338222101071037732000101311111046297387754319722244118.30%2235077.58%11628310652.41%1514299150.62%762140354.31%1989140819345761030522
22823338033322992909412115023001531252841122301032146165-1983299522821040131857730640100110221016308989853920352395020.92%2365277.97%21613309452.13%1595315250.60%703136051.69%1953136119615941040515
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
Total Saison régulière151062360105479648947524688647553352710333534472442224619675528833002144304223102442-1321650475280401279233771101388167014724961199915308171781567848868154281255035675405098824.40%398991777.01%63213604118051.87%203874059650.22%115772269651.01%324261889234976149802681313345
Séries éliminatoires
5734000001314-1321000007524130000069-361323360102641950438663193796713920840.00%17476.47%05713043.85%7115147.02%498259.76%121512067108115873
6136700000505007520000030246615000002026-6125083133000111920462013217315752619617832525624.00%361072.22%014030346.20%15934845.69%10823845.38%24913141492166238116
1040400000616-102020000039-62020000037-4068142002311510624049158543710010440.00%8362.50%05911252.68%519951.52%306347.62%824480377739
151367000004346-3624000001619-3743000002727012436811100012131651501761791444941829633135822.86%35974.29%217834152.20%17334749.86%9118948.15%284151272132261131
1640400000512-72020000036-32020000026-40510150003201020313435146293971700.00%15473.33%07013153.44%9016554.55%406561.54%8757107325425
181156000003133-26330000017161523000001417-31031588910010108359093122106335916819435514.29%32681.25%322239156.78%21638056.84%10720053.50%3002112728815777
201055000002833-5422000001314-1633000001519-41028487600012673360123100100349103119258511019.61%431369.77%020740251.49%18038546.75%7716945.56%2301532507913261
Total Séries éliminatoires62253700000176204-28301416000008993-43211210000087111-245017629847431052595621200660734654220173460414181834122.40%1864973.66%5933181051.55%940187550.13%502100649.90%1356802720136181080525

Marlies Leaders statistiques (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
1Joel Perrault139122141925476813.24%1628722.14033100030149.22%01.4600
2Justin Abdelkader13712193239296610.61%1931824.53213801101150.84%01.1900
3Andy Wozniewski3299184423377312.33%1754116.932571200012152.27%00.6600
4Kerby Rychel2121214281939613.28%739118.66022910110038.46%00.7100
5Jeff Taffe1359140622214710.64%1126220.16022500010053.40%01.0700

Marlies 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
1Justin Pogge136700.9043.977410049513262000.0000
2Kristers Gudlevskis155720.9133.048896145515196100.0000
3Anders Lindback105410.9053.2361420333490100.0000
4Michael Leighton104410.8953.0754800282660010.0000
5Justin Pogge73400.9272.0042101141930000.0000