Connexion

Marlies
GP: 18 | W: 10 | L: 6 | OTL: 2 | P: 22
GF: 68 | GA: 56 | PP%: 25.00% | PK%: 81.71%
DG: Martin Couture | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #314 vs Iowa Wild
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Centre de jeu
Marlies
10-6-2, 22pts
2
FINAL
5 Wolf Pack
11-6-2, 24pts
Team Stats
W1StreakW2
4-4-2Home Record6-3-0
6-2-0Away Record5-3-2
5-4-1Last 10 Games5-3-2
3.78Buts par match 4.42
3.11Buts contre par match 3.53
25.00%Pourcentage en avantage numérique24.24%
81.71%Pourcentage en désavantage numérique77.61%
W-B/Scranton Penguins
7-11-1, 15pts
3
FINAL
5 Marlies
10-6-2, 22pts
Team Stats
L1StreakW1
3-5-1Home Record4-4-2
4-6-0Away Record6-2-0
4-6-0Last 10 Games5-4-1
3.16Buts par match 3.78
4.26Buts contre par match 3.11
25.00%Pourcentage en avantage numérique25.00%
78.08%Pourcentage en désavantage numérique81.71%
Marlies
10-6-2, 22pts
2022-11-29
Iowa Wild
12-6-2, 26pts
Statistiques d’équipe
W1SéquenceW3
4-4-2Fiche domicile8-0-1
6-2-0Fiche visiteur4-6-1
5-4-110 derniers matchs6-2-2
3.78Buts par match 3.40
3.11Buts contre par match 2.70
25.00%Pourcentage en avantage numérique21.18%
81.71%Pourcentage en désavantage numérique81.82%
Monsters
9-7-2, 20pts
2022-12-02
Marlies
10-6-2, 22pts
Statistiques d’équipe
W1SéquenceW1
6-4-0Fiche domicile4-4-2
3-3-2Fiche visiteur6-2-0
5-4-110 derniers matchs5-4-1
3.78Buts par match 3.78
3.89Buts contre par match 3.11
18.33%Pourcentage en avantage numérique25.00%
71.93%Pourcentage en désavantage numérique81.71%
Marlies
10-6-2, 22pts
2022-12-03
Binghamton Senateurs
9-9-1, 19pts
Statistiques d’équipe
W1SéquenceW2
4-4-2Fiche domicile4-4-1
6-2-0Fiche visiteur5-5-0
5-4-110 derniers matchs5-4-1
3.78Buts par match 3.53
3.11Buts contre par match 3.79
25.00%Pourcentage en avantage numérique17.50%
81.71%Pourcentage en désavantage numérique78.13%
Meneurs d'équipe
Victoires
Felix Sandstrom
8
Pourcentage d’arrêts
Jakub Skarek
0.923

Statistiques d’équipe
Buts pour
68
3.78 GFG
Tirs pour
632
35.11 Avg
Pourcentage en avantage numérique
25.0%
13 GF
Début de zone offensive
38.4%
Buts contre
56
3.11 GAA
Tirs contre
693
38.50 Avg
Pourcentage en désavantage numérique
81.7%
15 GA
Début de la zone défensive
43.4%
Information d’équipe

Directeur généralMartin Couture
EntraîneurFélix Potvin
DivisionATLANTIQUE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,414
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 55
Espoirs14


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
1Taylor Raddysh0X100.007437866383798266546365676265670507002442,063,000$
2Jack McBain0X100.008337726384826764776165726461620507002221,350,000$
3Michael Pezzetta0XX100.00817960668178846256626457626466050690244937,500$
4Oskar Steen0XX100.007437886669828564726561626365660506902421,000,000$
5Ty Dellandrea0XX100.007538826773838865776359606662640506902221,400,833$
6Jonatan Berggren0XXX100.00623784697189856873676256696264050690223925,000$
7Gemel Smith0XXX100.00727174637184756280665964586770050680282819,000$
8Curtis Douglas0X100.00788367569974865868595764566264050680223850,000$
9Givani Smith0XX100.008483605683747857555859566163650506602441,688,000$
10Eduards Tralmaks0XXX100.00693881578873795864596062566567050660252750,000$
11Gabriel Bourque0X100.00633973587277955660585759577274050650321700,000$
12Akil Thomas0XX100.00623790586982765766565955586263050630212910,833$
13Jordan Spence0X100.00643783666789816530676264526162050690213919,167$
14Nikita Okhotiuk0X100.00793670617681856230636260556264050680213905,000$
15Reilly Walsh0X100.00583686697182856630675659516365050680232925,000$
16Ryan Merkley0X100.006239816872838665306657585062640506802221,163,333$
17Vladislav Kolyachonok0X100.00673790617682815930605758526163050660212905,000$
18Darren Raddysh0X100.006739835676818357305956634966680506602611,480,000$
Rayé
1Ryan Poehling0X99.006837946880798667806467636663650507002311,491,667$
2Arnaud Durandeau0X100.005837845967848558626159565763650506402331,094,000$
3Damien Riat0XXX100.00613987577179845658555453566764050620251925,000$
4Jonathan Gruden0X100.00613474576972815659575853576264050620222802,500$
5Curtis Hall0X100.00643891528372745358545551536264050610222925,000$
6Ryan Chyzowski0X100.00643791587268625663525953576264050610222750,000$
7Nick Cicek0X100.00754368588468815730625459476264050660223850,000$
8Will Reilly0X100.00713978538068715230545356456567050620251816,250$
9Dawson Barteaux0X100.00653892537462665530535254456264050600222783,333$
MOYENNE D’ÉQUIPE99.9669448061767880605460595956636505066
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
1Felix Sandstrom100.00747776797372747372747365730507502521,340,000$
2Jakub Skarek100.00697475836867696867696863690507102321,150,000$
Rayé
1Alex D'Orio100.0070727382696870696870696369050720233750,000$
2Kevin Mandolese100.0068706982676668676668676267050700222861,667$
MOYENNE D’ÉQUIPE100.007073738269687069687069637005072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Félix Potvin75757575757575Can5150$


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
1Ryan PoehlingMarlies (TOR)C148816520114757153014.04%626819.202136220001120052.91%34400001.1901000211
2Jack McBainMarlies (TOR)C1897164160364768174613.24%1734819.371232101012561050.21%46600000.9211000032
3Taylor RaddyshMarlies (TOR)RW188715620113665254312.31%1136220.111122100112671041.86%8600000.8300000110
4Oskar SteenMarlies (TOR)C/RW1851015-36024485115369.80%328115.64134736011191051.47%37500001.0700000100
5Ty DellandreaMarlies (TOR)C/RW185101581201925558439.09%329616.45134839000010048.00%2500001.0100000100
6Nikita OkhotiukMarlies (TOR)D1841014218060161951321.05%2441122.84303518000057000.00%000000.6800000011
7Ryan MerkleyMarlies (TOR)D1801414101003518179150.00%3140422.45022938011023000.00%000000.6900000110
8Jonatan BerggrenMarlies (TOR)C/LW/RW187714-12082059164911.86%231017.2311212390001202062.86%3500000.9000000001
9Gemel SmithMarlies (TOR)C/LW/RW18671310200322839144015.38%830516.99000251122492053.62%6900000.8500000011
10Jordan SpenceMarlies (TOR)D1821113122203024234138.70%3333318.5402215000243000.00%000000.7800000111
11Vladislav KolyachonokMarlies (TOR)D182810560871851511.11%1432818.25022628011133110.00%000000.6100000100
12Eduards TralmaksMarlies (TOR)C/LW/RW18358-3201512356308.57%225714.31213730000000033.33%1500000.6200000010
13Michael PezzettaMarlies (TOR)C/LW1843721004320537467.55%231217.37011839000001046.43%2800000.4500000000
14Reilly WalshMarlies (TOR)D18167-180101719495.26%2332718.21011813011064000.00%000000.4300000000
15Curtis DouglasMarlies (TOR)C1824654011371451114.29%41699.43011161011540049.40%25100000.7100000000
16Darren RaddyshMarlies (TOR)D15033-1160341313480.00%2727018.0500017000055000.00%000000.2200000000
17Akil ThomasMarlies (TOR)C/RW9022100056180.00%0778.62022320000010057.14%700000.5200000000
18Givani SmithMarlies (TOR)LW/RW18112240283168136.25%01488.27101328000000060.00%500000.2700000000
19Nick CicekMarlies (TOR)D90111601302100.00%4444.980000000000000.00%000000.4500000000
20Gabriel BourqueMarlies (TOR)LW7000000313010.00%0182.580000000001000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne3246712419164166043142463216946910.60%214527816.2913233691402369135559150.67%170700000.72120008107
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
1Felix SandstromMarlies (TOR)168620.9193.1096740506150101.0003162112
2Jakub SkarekMarlies (TOR)22000.9233.00120206780000.0000212000
Statistiques d’équipe totales ou en moyenne1810620.9193.09108760566930101.00031814112


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 moyenPlafond 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
Akil ThomasMarlies (TOR)C/RW212001-01-31No171 Lbs6 ft0NoNoNo2Pro & Farm910,833$700,264$910,833$0$0$No910,833$Lien
Alex D'OrioMarlies (TOR)G231999-04-28No209 Lbs6 ft2NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Arnaud DurandeauMarlies (TOR)LW231999-01-14No175 Lbs5 ft11NoNoNo3Pro & Farm1,094,000$841,086$948,500$0$0$No1,094,000$1,094,000$Lien
Curtis DouglasMarlies (TOR)C222000-03-06No235 Lbs6 ft9NoNoNo3Pro & Farm850,000$653,494$850,000$0$0$No850,000$850,000$Lien
Curtis HallMarlies (TOR)C222000-04-26No197 Lbs6 ft3NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Damien RiatMarlies (TOR)C/LW/RW251997-02-26No180 Lbs6 ft0NoNoNo1Pro & Farm925,000$711,155$925,000$0$0$NoLien
Darren RaddyshMarlies (TOR)D261996-02-28No200 Lbs6 ft1NoNoNo1Pro & Farm1,480,000$1,137,849$650,000$0$0$NoLien
Dawson BarteauxMarlies (TOR)D222000-01-12No185 Lbs6 ft1NoNoNo2Pro & Farm783,333$602,239$783,333$0$0$No783,333$Lien
Eduards TralmaksMarlies (TOR)C/LW/RW251997-02-17No209 Lbs6 ft4NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Felix SandstromMarlies (TOR)G251997-01-12No191 Lbs6 ft2NoNoNo2Pro & Farm1,340,000$1,030,215$750,000$0$0$No1,340,000$Lien
Gabriel BourqueMarlies (TOR)LW321990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$NoLien
Gemel SmithMarlies (TOR)C/LW/RW281994-04-16No203 Lbs5 ft10NoNoNo2Pro & Farm819,000$629,661$812,500$0$0$No819,000$Lien
Givani SmithMarlies (TOR)LW/RW241998-02-27No215 Lbs6 ft2NoNoNo4Pro & Farm1,688,000$1,297,763$1,533,067$0$0$No1,688,000$1,688,000$1,688,000$Lien
Jack McBainMarlies (TOR)C222000-01-06No201 Lbs6 ft3NoNoNo2Pro & Farm1,350,000$1,037,903$700,000$0$0$No1,350,000$Lien
Jakub SkarekMarlies (TOR)G231999-11-10No196 Lbs6 ft3NoNoNo2Pro & Farm1,150,000$884,139$778,333$0$0$No1,150,000$Lien
Jonatan BerggrenMarlies (TOR)C/LW/RW222000-07-16No195 Lbs5 ft11NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$Lien
Jonathan GrudenMarlies (TOR)LW222000-05-04No172 Lbs6 ft0NoNoNo2Pro & Farm802,500$616,975$802,500$0$0$No802,500$Lien
Jordan SpenceMarlies (TOR)D212001-02-24No180 Lbs5 ft10NoNoNo3Pro & Farm919,167$706,671$700,000$0$0$No919,167$919,167$Lien
Kevin MandoleseMarlies (TOR)G222000-08-22No180 Lbs6 ft4NoNoNo2Pro & Farm861,667$662,464$861,667$0$0$No861,667$Lien
Michael PezzettaMarlies (TOR)C/LW241998-03-13No216 Lbs6 ft1NoNoNo4Pro & Farm937,500$720,766$650,000$0$0$No937,500$937,500$937,500$Lien
Nick CicekMarlies (TOR)D222000-05-29No201 Lbs6 ft3NoNoNo3Pro & Farm850,000$653,494$850,000$0$0$No850,000$850,000$Lien
Nikita OkhotiukMarlies (TOR)D212000-12-04No195 Lbs6 ft1NoNoNo3Pro & Farm905,000$695,779$905,000$0$0$No905,000$905,000$Lien
Oskar SteenMarlies (TOR)C/RW241998-03-09No199 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$768,817$1,156,250$0$0$No1,000,000$Lien
Reilly WalshMarlies (TOR)D231999-04-21No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Ryan ChyzowskiMarlies (TOR)C222000-05-14No190 Lbs6 ft0NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Ryan MerkleyMarlies (TOR)D222000-08-14No186 Lbs6 ft0NoNoNo2Pro & Farm1,163,333$894,390$1,163,333$0$0$No1,163,333$Lien
Ryan PoehlingMarlies (TOR)C231999-01-03No196 Lbs6 ft2NoNoNo1Pro & Farm1,491,667$1,146,819$925,000$0$0$NoLien
Taylor RaddyshMarlies (TOR)RW241998-02-18No198 Lbs6 ft3NoNoNo4Pro & Farm2,063,000$1,586,069$1,829,233$0$0$No2,063,000$2,063,000$2,063,000$Lien
Ty DellandreaMarlies (TOR)C/RW222000-07-21No195 Lbs6 ft0NoNoNo2Pro & Farm1,400,833$1,076,984$1,400,833$0$0$No1,400,833$Lien
Vladislav KolyachonokMarlies (TOR)D212001-05-26No193 Lbs6 ft1NoNoNo2Pro & Farm905,000$695,779$905,000$0$0$No905,000$Lien
Will ReillyMarlies (TOR)D251997-07-23No197 Lbs6 ft2NoNoNo1Pro & Farm816,250$627,547$816,250$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3123.32195 Lbs6 ft12.261,039,712$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaJack McBainTaylor Raddysh31122
2Givani SmithGemel SmithTy Dellandrea30122
3Jonatan BerggrenOskar SteenEduards Tralmaks24122
4Gabriel BourqueCurtis DouglasAkil Thomas15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceRyan Merkley33122
2Nikita OkhotiukVladislav Kolyachonok32122
3Reilly WalshDarren Raddysh25122
4Nikita OkhotiukRyan Merkley10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaGemel SmithTy Dellandrea50122
2Jonatan BerggrenOskar SteenEduards Tralmaks50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Givani SmithRyan Merkley50122
2Vladislav KolyachonokAkil Thomas50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainTaylor Raddysh50122
2Curtis DouglasGemel Smith50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceDarren Raddysh50122
2Nikita OkhotiukReilly Walsh50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack McBain50122Jordan SpenceDarren Raddysh50122
2Taylor Raddysh50122Nikita OkhotiukReilly Walsh50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainTaylor Raddysh50122
2Jonatan BerggrenGabriel Bourque50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceDarren Raddysh50122
2Ryan MerkleyNikita Okhotiuk50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaJack McBainTy DellandreaNikita OkhotiukRyan Merkley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gemel SmithJack McBainTaylor RaddyshRyan MerkleyDarren Raddysh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Bourque, Jack McBain, Taylor RaddyshJack McBain, Taylor RaddyshGabriel Bourque
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Darren Raddysh, Jordan Spence, Nikita OkhotiukNikita OkhotiukVladislav Kolyachonok, Ryan Merkley
Tirs de pénalité
Jack McBain, Gabriel Bourque, Taylor Raddysh, Jonatan Berggren, Ty Dellandrea
Gardien
#1 : Felix Sandstrom, #2 : Jakub Skarek
Lignes d’attaque personnalisées en prolongation
Jack McBain, Gabriel Bourque, Taylor Raddysh, Jonatan Berggren, Ty Dellandrea, Oskar Steen, Oskar Steen, Michael Pezzetta, Gemel Smith, Curtis Douglas, Eduards Tralmaks
Lignes de défense personnalisées en prolongation
Nikita Okhotiuk, Ryan Merkley, Reilly Walsh, Darren Raddysh, Jordan Spence


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
1Americans210001009721000010045-11100000052330.750917260031181818024617320312842618524250.00%8187.50%034264852.78%36773250.14%15630750.81%423287433136233116
2Binghamton Senateurs211000007701010000023-11100000054120.50071219003118181822461732031277331243400.00%6350.00%034264852.78%36773250.14%15630750.81%423287433136233116
3Checkers211000008531010000023-11100000062420.500815230031181815424617320312682520517228.57%10190.00%034264852.78%36773250.14%15630750.81%423287433136233116
4Crunch22000000633110000003121100000032141.0006121800311818148246173203127517162833100.00%80100.00%034264852.78%36773250.14%15630750.81%423287433136233116
5Griffins21000010844100000104311100000041341.000813210031181818324617320312792724528225.00%12283.33%134264852.78%36773250.14%15630750.81%423287433136233116
6Providence Bruins31100100101002010010048-41100000062430.500101929003118181122246173203121232530598225.00%13376.92%134264852.78%36773250.14%15630750.81%423287433136233116
7Rockets2020000068-21010000034-11010000034-100.000612180031181816124617320312692732467114.29%15380.00%034264852.78%36773250.14%15630750.81%423287433136233116
8W-B/Scranton Penguins11000000532110000005320000000000021.00059140031181813924617320312399440200.00%20100.00%034264852.78%36773250.14%15630750.81%423287433136233116
9Wolf Pack1010000025-3000000000001010000025-300.0002460031181812524617320312359425500.00%2150.00%034264852.78%36773250.14%15630750.81%423287433136233116
10islanders11000000743110000007430000000000021.000711180031181813824617320312441612354125.00%6183.33%134264852.78%36773250.14%15630750.81%423287433136233116
Total1896002106856121034002103434086200000342212220.6116812419200311818163224617320312693214172431521325.00%821581.71%334264852.78%36773250.14%15630750.81%423287433136233116
_Since Last GM Reset1896002106856121034002103434086200000342212220.6116812419200311818163224617320312693214172431521325.00%821581.71%334264852.78%36773250.14%15630750.81%423287433136233116
_Vs Conference1896002106856121034002103434086200000342212220.6116812419200311818163224617320312693214172431521325.00%821581.71%334264852.78%36773250.14%15630750.81%423287433136233116
_Vs Division157500210544410814002102227-576100000321715180.6005410015400311818153024617320312575180152331411229.27%721381.94%234264852.78%36773250.14%15630750.81%423287433136233116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1822W16812419263269321417243100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
189602106856
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
103402103434
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200003422
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
521325.00%821581.71%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
246173203123118181
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
34264852.78%36773250.14%15630750.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
423287433136233116


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 - 2022-10-1712Marlies3Crunch2AWSommaire du match
4 - 2022-10-1924Crunch1Marlies3BWSommaire du match
5 - 2022-10-2040Rockets4Marlies3BLSommaire du match
10 - 2022-10-2571Binghamton Senateurs3Marlies2BLSommaire du match
11 - 2022-10-2681Marlies6Providence Bruins2AWSommaire du match
15 - 2022-10-30100Americans5Marlies4BLXSommaire du match
18 - 2022-11-02121Marlies5Americans2AWSommaire du match
20 - 2022-11-04125Marlies4Griffins1AWSommaire du match
21 - 2022-11-05146islanders4Marlies7BWSommaire du match
24 - 2022-11-08159Marlies3Rockets4ALSommaire du match
25 - 2022-11-09175Marlies6Checkers2AWSommaire du match
27 - 2022-11-11186Griffins3Marlies4BWXXSommaire du match
30 - 2022-11-14203Checkers3Marlies2BLSommaire du match
33 - 2022-11-17226Providence Bruins4Marlies3BLXSommaire du match
37 - 2022-11-21250Marlies5Binghamton Senateurs4AWSommaire du match
38 - 2022-11-22260Providence Bruins4Marlies1BLSommaire du match
40 - 2022-11-24280Marlies2Wolf Pack5ALSommaire du match
43 - 2022-11-27293W-B/Scranton Penguins3Marlies5BWSommaire du match
45 - 2022-11-29314Marlies-Iowa Wild-
48 - 2022-12-02324Monsters-Marlies-
49 - 2022-12-03339Marlies-Binghamton Senateurs-
52 - 2022-12-06357IceHogs-Marlies-
55 - 2022-12-09379Marlies-Binghamton Senateurs-
58 - 2022-12-12389Binghamton Senateurs-Marlies-
59 - 2022-12-13409Marlies-islanders-
62 - 2022-12-16427Griffins-Marlies-
64 - 2022-12-18447Marlies-Phantoms-
65 - 2022-12-19453Marlies-Condors-
67 - 2022-12-21468Roadrunners-Marlies-
71 - 2022-12-25487Rockets-Marlies-
74 - 2022-12-28495Marlies-Griffins-
76 - 2022-12-30517Marlies-Gulls-
78 - 2023-01-01524Marlies-Barracuda-
79 - 2023-01-02536Bears-Marlies-
83 - 2023-01-06557Firebirds-Marlies-
86 - 2023-01-09582Binghamton Senateurs-Marlies-
87 - 2023-01-10591Marlies-Thunderbirds-
91 - 2023-01-14616Silver Knights-Marlies-
92 - 2023-01-15631Marlies-Canucks-
93 - 2023-01-16646Comets-Marlies-
99 - 2023-01-22676Wolves-Marlies-
101 - 2023-01-24701Marlies-Bears-
102 - 2023-01-25709Reign-Marlies-
103 - 2023-01-26726Marlies-Americans-
105 - 2023-01-28740Comets-Marlies-
107 - 2023-01-30763Providence Bruins-Marlies-
109 - 2023-02-01770Marlies-Texas Stars-
112 - 2023-02-04799Marlies-Rockets-
114 - 2023-02-06806Wolves-Marlies-
116 - 2023-02-08823Marlies-Americans-
118 - 2023-02-10835Moose-Marlies-
121 - 2023-02-13849Marlies-Griffins-
122 - 2023-02-14860Marlies-Rockets-
124 - 2023-02-16878Reign-Marlies-
127 - 2023-02-19892Marlies-Comets-
128 - 2023-02-20906Eagles-Marlies-
130 - 2023-02-22922Marlies-Eagles-
131 - 2023-02-23935Rockets-Marlies-
135 - 2023-02-27953Marlies-Wolves-
137 - 2023-03-01967Checkers-Marlies-
139 - 2023-03-03992Thunderbirds-Marlies-
143 - 2023-03-071004Marlies-Providence Bruins-
145 - 2023-03-091015Marlies-Crunch-
146 - 2023-03-101031Checkers-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-141060Griffins-Marlies-
152 - 2023-03-161082Marlies-Wolf Pack-
154 - 2023-03-181092Wranglers-Marlies-
158 - 2023-03-221115Marlies-Wolves-
159 - 2023-03-231128Phantoms-Marlies-
162 - 2023-03-261143Marlies-Crunch-
164 - 2023-03-281156Wolf Pack-Marlies-
167 - 2023-03-311181Marlies-Providence Bruins-
168 - 2023-04-011189Americans-Marlies-
170 - 2023-04-031203Marlies-Checkers-
171 - 2023-04-041216Marlies-Monsters-
173 - 2023-04-061219Marlies-Admirals-
174 - 2023-04-071230Crunch-Marlies-
176 - 2023-04-091251Marlies-Monsters-
178 - 2023-04-111257Americans-Marlies-
180 - 2023-04-131269Marlies-Checkers-
182 - 2023-04-151291Marlies-W-B/Scranton Penguins-
183 - 2023-04-161298Crunch-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance14,9099,233
Assistance PCT74.55%92.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2414 - 80.47% 98,386$983,862$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,223,108$ 2,810,662$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,049,972$ 143 17,329$ 2,478,047$




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

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

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

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

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