Connexion

Marlies
GP: 10 | W: 8 | L: 2 | OTL: 0 | P: 16
GF: 34 | GA: 29 | PP%: 29.03% | PK%: 74.51%
DG: Martin Couture | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #169 vs Providence Bruins
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Centre de jeu
Marlies
8-2-0, 16pts
1
FINAL
3 Checkers
4-5-1, 9pts
Team Stats
W1StreakL1
5-0-0Home Record1-3-1
3-2-0Away Record3-2-0
8-2-0Last 10 Games4-5-1
3.40Buts par match 2.80
2.90Buts contre par match 3.10
29.03%Pourcentage en avantage numérique12.20%
74.51%Pourcentage en désavantage numérique68.57%
Checkers
4-5-1, 9pts
3
FINAL
5 Marlies
8-2-0, 16pts
Team Stats
L1StreakW1
1-3-1Home Record5-0-0
3-2-0Away Record3-2-0
4-5-1Last 10 Games8-2-0
2.80Buts par match 3.40
3.10Buts contre par match 2.90
12.20%Pourcentage en avantage numérique29.03%
68.57%Pourcentage en désavantage numérique74.51%
Marlies
8-2-0, 16pts
2022-08-03
Providence Bruins
3-7-0, 6pts
Statistiques d’équipe
W1SéquenceL4
5-0-0Fiche domicile2-3-0
3-2-0Fiche visiteur1-4-0
8-2-010 derniers matchs3-7-0
3.40Buts par match 2.40
2.90Buts contre par match 3.10
29.03%Pourcentage en avantage numérique22.58%
74.51%Pourcentage en désavantage numérique83.78%
Binghamton Senateurs
4-6-0, 8pts
2022-08-04
Marlies
8-2-0, 16pts
Statistiques d’équipe
L1SéquenceW1
3-2-0Fiche domicile5-0-0
1-4-0Fiche visiteur3-2-0
4-6-010 derniers matchs8-2-0
2.70Buts par match 3.40
3.30Buts contre par match 2.90
16.28%Pourcentage en avantage numérique29.03%
78.95%Pourcentage en désavantage numérique74.51%
Marlies
8-2-0, 16pts
2022-08-05
Rockets
6-2-2, 14pts
Statistiques d’équipe
W1SéquenceW1
5-0-0Fiche domicile4-0-0
3-2-0Fiche visiteur2-2-2
8-2-010 derniers matchs6-2-2
3.40Buts par match 2.90
2.90Buts contre par match 3.00
29.03%Pourcentage en avantage numérique8.70%
74.51%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
Buts
J.J. Moser
2
Passes
Frederik Gauthier
6
Points
Frederik Gauthier
6
Plus/Moins
J.J. Moser
2
Victoires
Felix Sandstrom
8
Pourcentage d’arrêts
Felix Sandstrom
0.921

Statistiques d’équipe
Buts pour
34
3.40 GFG
Tirs pour
368
36.80 Avg
Pourcentage en avantage numérique
29.0%
9 GF
Début de zone offensive
42.0%
Buts contre
29
2.90 GAA
Tirs contre
361
36.10 Avg
Pourcentage en désavantage numérique
74.5%
13 GA
Début de la zone défensive
40.8%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
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
1Philipp Kurashev0XXX100.00623691707281946871666967736364050720221925,000$
2Ryan Poehling0X100.006837946880798667806467636663650507102311,491,667$
3Taylor Raddysh0X100.007437866383798266546365676265670507102442,063,000$
4Jack McBain0X100.008337726384826764776165726461620507102221,350,000$
5Michael Pezzetta0XX100.00817960668178846256626457626466050700244937,500$
6Oskar Steen0XX100.007437886669828564726561626365660506902421,000,000$
7Ty Dellandrea0XX100.007538826773838865776359606662640506902221,400,833$
8Jonatan Berggren0XXX100.00623784697189856873676256696264050690223925,000$
9Curtis Douglas0X100.00788367569974865868595764566264050680223850,000$
10Eduards Tralmaks0XXX100.00693881578873795864596062566567050670252750,000$
11Givani Smith0XX100.008483605683747857555859566163650506602441,688,000$
12Akil Thomas0XX100.00623790586982765766565955586263050640212910,833$
13Nikita Okhotiuk0X100.00793670617681856230636260556264050690213905,000$
14Jordan Spence0X100.00643783666789816530676264526162050690213919,167$
15Reilly Walsh0X100.00583686697182856630675659516365050680232925,000$
16Ryan Merkley0X100.006239816872838665306657585062640506802221,163,333$
17Vladislav Kolyachonok0X100.00673790617682815930605758526163050660212905,000$
18Nick Cicek0X100.00754368588468815730625459476264050660223850,000$
Rayé
1Gabriel Bourque0X100.00633973587277955660585759577274050660321700,000$
2Arnaud Durandeau0X100.005837845967848558626159565763650506502331,094,000$
3Damien Riat0XXX100.00613987577179845658555453566764050630251925,000$
4Jonathan Gruden0X100.00613474576972815659575853576264050630222802,500$
5Curtis Hall0X100.00643891528372745358545551536264050620222925,000$
6Ryan Chyzowski0X100.00643791587268625663525953576264050620222750,000$
7Will Reilly0X100.00713978538068715230545356456567050620251816,250$
8Dawson Barteaux0X100.00653892537462665530535254456264050600222783,333$
MOYENNE D’ÉQUIPE100.0069438161767881605460595957636505067
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$
2Adam Werner100.0070727390696870696870696573050730252910,000$
Rayé
1Alex D'Orio100.0070727382696870696870696369050720233750,000$
2Jakub Skarek100.00697475836867696867696863690507202221,150,000$
3Kevin Mandolese100.0068706982676668676668676267050700222861,667$
MOYENNE D’ÉQUIPE100.007073738369687069687069647005072
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
1Reilly WalshMarlies (TOR)D102101270046223109.09%1321321.302241626000042010.00%000001.1300000011
2Taylor RaddyshMarlies (TOR)RW93710520515376238.11%219021.180227210001372041.18%1700001.0500000020
3Michael PezzettaMarlies (TOR)C/LW1081931002783541522.86%217517.512024240002162250.00%1600001.0300000121
4Jordan SpenceMarlies (TOR)D1045968020112051020.00%1424024.01112624000140100.00%000000.7500000300
5Jack McBainMarlies (TOR)C1026828022333514275.71%321221.230333260000380055.12%30300000.7500000001
6Ryan PoehlingMarlies (TOR)C10246220330269207.69%918518.600112160001470046.54%26000000.6500000010
7Frederik GauthierMaple LeafsC70660201226288170.00%516523.640113170000250058.33%19200000.7300000000
8Oskar SteenMarlies (TOR)C/RW1032514011152832310.71%313813.8911215000030143.88%9800000.7200000002
9J.J. MoserMaple LeafsD4224220117152913.33%410225.65000811000015100.00%000000.7800000110
10Jonatan BerggrenMarlies (TOR)C/LW/RW102242203111951410.53%114014.08112312000000061.90%2100000.5700000010
11Gemel SmithMaple LeafsC/LW/RW71231200251320.00%0344.8711225000030030.00%1000001.7600000000
12Nikita OkhotiukMarlies (TOR)D10033-1300267173120.00%1821621.67022724000028000.00%000000.2800000001
13Ryan MerkleyMarlies (TOR)D10213710023121011020.00%1121121.19101323000026000.00%000000.2800000010
14Ty DellandreaMarlies (TOR)C/RW101230201816228184.55%215115.13000110000030043.48%4600000.4000000000
15Samuel MorinMaple LeafsLW/D71121002015132137.69%313319.13011218000080157.14%700000.3000000001
16Philipp KurashevMarlies (TOR)C/LW/RW3022120117161130.00%16020.29011560000130050.62%8100000.6600000000
17Vladislav KolyachonokMarlies (TOR)D8022-220682220.00%1212115.150000000009000.00%000000.3300000000
18Darren RaddyshMaple LeafsD6022-1201155250.00%159616.0600011000013000.00%000000.4200000000
19Akil ThomasMarlies (TOR)C/RW7011200013020.00%0375.400000000000000.00%200000.5300000000
20Givani SmithMarlies (TOR)LW/RW101012100130124108.33%0767.6700000000001033.33%600000.2600000000
21Curtis DouglasMarlies (TOR)C8011-220998160.00%0587.3600000000000058.06%3100000.3400000000
22Eduards TralmaksMarlies (TOR)C/LW/RW8101410029103210.00%0627.7600001000020175.00%800000.3200000000
23Nick CicekMarlies (TOR)D70112601532200.00%69413.560001000000000.00%000000.2100000000
24Gabriel BourqueMarlies (TOR)LW7000-100124120.00%0527.5100000000020033.33%300000.0000000000
25Will ReillyMarlies (TOR)D1000100300100.00%01717.280000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne199356398441180266268394912668.88%124319116.04917267528000053787651.41%110100000.6100000597
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)108200.9212.8958200283540100.0000100100
2Adam WernerMarlies (TOR)10000.8572.612300170000.0000010000
Statistiques d’équipe totales ou en moyenne118200.9202.8860500293610100.00001010100


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
Adam WernerMarlies (TOR)G251997-05-02No205 Lbs6 ft5NoNoNo2Pro & Farm910,000$910,000$842,500$0$0$No910,000$Lien
Akil ThomasMarlies (TOR)C/RW212001-01-31No171 Lbs6 ft0NoNoNo2Pro & Farm910,833$910,833$910,833$0$0$No910,833$Lien
Alex D'OrioMarlies (TOR)G231999-04-28No209 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Arnaud DurandeauMarlies (TOR)LW231999-01-14No175 Lbs5 ft11NoNoNo3Pro & Farm1,094,000$1,094,000$948,500$0$0$No1,094,000$1,094,000$Lien
Curtis DouglasMarlies (TOR)C222000-03-06No235 Lbs6 ft9NoNoNo3Pro & Farm850,000$850,000$850,000$0$0$No850,000$850,000$Lien
Curtis HallMarlies (TOR)C222000-04-26No197 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Damien RiatMarlies (TOR)C/LW/RW251997-02-26No180 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Dawson BarteauxMarlies (TOR)D222000-01-12No185 Lbs6 ft1NoNoNo2Pro & Farm783,333$783,333$783,333$0$0$No783,333$Lien
Eduards TralmaksMarlies (TOR)C/LW/RW251997-02-17No209 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Felix SandstromMarlies (TOR)G251997-01-12No191 Lbs6 ft2NoNoNo2Pro & Farm1,340,000$1,340,000$750,000$0$0$No1,340,000$Lien
Gabriel BourqueMarlies (TOR)LW321990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien
Givani SmithMarlies (TOR)LW/RW241998-02-27No215 Lbs6 ft2NoNoNo4Pro & Farm1,688,000$1,688,000$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$1,350,000$700,000$0$0$No1,350,000$Lien
Jakub SkarekMarlies (TOR)G221999-11-10No196 Lbs6 ft3NoNoNo2Pro & Farm1,150,000$1,150,000$778,333$0$0$No1,150,000$Lien
Jonatan BerggrenMarlies (TOR)C/LW/RW222000-07-16No195 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Jonathan GrudenMarlies (TOR)LW222000-05-04No172 Lbs6 ft0NoNoNo2Pro & Farm802,500$802,500$802,500$0$0$No802,500$Lien
Jordan SpenceMarlies (TOR)D212001-02-24No180 Lbs5 ft10NoNoNo3Pro & Farm919,167$919,167$700,000$0$0$No919,167$919,167$Lien
Kevin MandoleseMarlies (TOR)G222000-08-22No180 Lbs6 ft4NoNoNo2Pro & Farm861,667$861,667$861,667$0$0$No861,667$Lien
Michael PezzettaMarlies (TOR)C/LW241998-03-13No216 Lbs6 ft1NoNoNo4Pro & Farm937,500$937,500$650,000$0$0$No937,500$937,500$937,500$Lien
Nick CicekMarlies (TOR)D222000-05-29No201 Lbs6 ft3NoNoNo3Pro & Farm850,000$850,000$850,000$0$0$No850,000$850,000$Lien
Nikita OkhotiukMarlies (TOR)D212000-12-04No195 Lbs6 ft1NoNoNo3Pro & Farm905,000$905,000$905,000$0$0$No905,000$905,000$Lien
Oskar SteenMarlies (TOR)C/RW241998-03-09No199 Lbs5 ft9NoNoNo2Pro & Farm1,000,000$1,000,000$1,156,250$0$0$No1,000,000$Lien
Philipp KurashevMarlies (TOR)C/LW/RW221999-10-12No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$842,501$0$0$NoLien
Reilly WalshMarlies (TOR)D231999-04-21No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Ryan ChyzowskiMarlies (TOR)C222000-05-14No190 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Ryan MerkleyMarlies (TOR)D222000-08-14No186 Lbs6 ft0NoNoNo2Pro & Farm1,163,333$1,163,333$1,163,333$0$0$No1,163,333$Lien
Ryan PoehlingMarlies (TOR)C231999-01-03No196 Lbs6 ft2NoNoNo1Pro & Farm1,491,667$1,491,667$925,000$0$0$NoLien
Taylor RaddyshMarlies (TOR)RW241998-02-18No198 Lbs6 ft3NoNoNo4Pro & Farm2,063,000$2,063,000$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$1,400,833$1,400,833$0$0$No1,400,833$Lien
Vladislav KolyachonokMarlies (TOR)D212001-05-26No193 Lbs6 ft1NoNoNo2Pro & Farm905,000$905,000$905,000$0$0$No905,000$Lien
Will ReillyMarlies (TOR)D251997-07-23No197 Lbs6 ft2NoNoNo1Pro & Farm816,250$816,250$816,250$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3123.06195 Lbs6 ft12.261,024,745$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaJack McBainTaylor Raddysh30122
2Jonatan BerggrenPhilipp KurashevOskar Steen30122
3Givani SmithRyan PoehlingTy Dellandrea24122
4Eduards TralmaksCurtis DouglasAkil Thomas16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MerkleyJordan Spence30122
2Nikita OkhotiukVladislav Kolyachonok30122
3Nick CicekReilly Walsh24122
4Ryan MerkleyJordan Spence16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaPhilipp KurashevTaylor Raddysh50122
2Jonatan BerggrenJack McBainTy Dellandrea50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita OkhotiukJordan Spence50122
2Ryan MerkleyReilly Walsh50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Philipp KurashevTaylor Raddysh50122
2Jack McBainRyan Poehling50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita OkhotiukJordan Spence50122
2Ryan MerkleyReilly Walsh50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Philipp Kurashev50122Nikita OkhotiukJordan Spence50122
2Taylor Raddysh50122Ryan MerkleyReilly Walsh50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Philipp KurashevTaylor Raddysh50122
2Jack McBainRyan Poehling50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita OkhotiukJordan Spence50122
2Ryan MerkleyReilly Walsh50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaPhilipp KurashevTaylor RaddyshNikita OkhotiukJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaPhilipp KurashevTaylor RaddyshNikita OkhotiukJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Steen, Curtis Douglas, Eduards TralmaksOskar Steen, Curtis DouglasEduards Tralmaks
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Cicek, Vladislav Kolyachonok, Ryan MerkleyNick CicekVladislav Kolyachonok, Ryan Merkley
Tirs de pénalité
Philipp Kurashev, Taylor Raddysh, Jack McBain, Ryan Poehling, Michael Pezzetta
Gardien
#1 : Felix Sandstrom, #2 : Adam Werner
Lignes d’attaque personnalisées en prolongation
Philipp Kurashev, Taylor Raddysh, Jack McBain, Ryan Poehling, Michael Pezzetta, Jonatan Berggren, Jonatan Berggren, Ty Dellandrea, Oskar Steen, Curtis Douglas, Eduards Tralmaks
Lignes de défense personnalisées en prolongation
Nikita Okhotiuk, Jordan Spence, Ryan Merkley, Reilly Walsh, Nick Cicek


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
1Americans21001000954110000006331000100032141.0009162500710143691051221329722516468225.00%8275.00%019037151.21%19936055.28%8415255.26%2321562417713264
2Binghamton Senateurs11000000431000000000001100000043121.000481200710143311051221329391014252150.00%7271.43%019037151.21%19936055.28%8415255.26%2321562417713264
3Checkers21100000660110000005321010000013-220.5006111700710143831051221329771726535240.00%13376.92%019037151.21%19936055.28%8415255.26%2321562417713264
4Crunch2110000026-4110000002111010000005-520.5002350071014363105122132944112045300.00%10370.00%019037151.21%19936055.28%8415255.26%2321562417713264
5Griffins10001000541000000000001000100054121.00058130071014331105122132951198335240.00%4250.00%019037151.21%19936055.28%8415255.26%2321562417713264
6Providence Bruins11000000422110000004220000000000021.00048120071014332105122132935116222150.00%30100.00%019037151.21%19936055.28%8415255.26%2321562417713264
7Rockets10001000431100010004310000000000021.000481200710143591051221329431512246116.67%6183.33%019037151.21%19936055.28%8415255.26%2321562417713264
Total105203000342955400100021129512020001317-4160.80034629600710143368105122132936110810224831929.03%511374.51%019037151.21%19936055.28%8415255.26%2321562417713264
_Since Last GM Reset105203000342955400100021129512020001317-4160.80034629600710143368105122132936110810224831929.03%511374.51%019037151.21%19936055.28%8415255.26%2321562417713264
_Vs Conference105203000342955400100021129512020001317-4160.80034629600710143368105122132936110810224831929.03%511374.51%019037151.21%19936055.28%8415255.26%2321562417713264
_Vs Division105203000342955400100021129512020001317-4160.80034629600710143368105122132936110810224831929.03%511374.51%019037151.21%19936055.28%8415255.26%2321562417713264

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1016W134629636836110810224800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105230003429
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
54010002112
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51220001317
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31929.03%511374.51%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1051221329710143
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
19037151.21%19936055.28%8415255.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2321562417713264


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 - 2022-07-1711Rockets3Marlies4BWXSommaire du match
3 - 2022-07-1928Marlies5Griffins4AWXSommaire du match
4 - 2022-07-2040Marlies0Crunch5ALSommaire du match
6 - 2022-07-2258Providence Bruins2Marlies4BWSommaire du match
8 - 2022-07-2472Crunch1Marlies2BWSommaire du match
10 - 2022-07-2691Marlies4Binghamton Senateurs3AWSommaire du match
11 - 2022-07-27107Americans3Marlies6BWSommaire du match
13 - 2022-07-29128Marlies3Americans2AWXSommaire du match
15 - 2022-07-31143Marlies1Checkers3ALSommaire du match
16 - 2022-08-01153Checkers3Marlies5BWSommaire du match
18 - 2022-08-03169Marlies-Providence Bruins-
19 - 2022-08-04181Binghamton Senateurs-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05192Marlies-Rockets-
22 - 2022-08-07214Griffins-Marlies-



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,176,708$ 2,832,912$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




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


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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