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Marlies
GP: 18 | W: 14 | L: 4 | OTL: 0 | P: 28
GF: 101 | GA: 36 | PP%: 18.92% | PK%: 89.72%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Marlies
14-4-0, 28pts
7
FINAL
2 Checkers
2-15-1, 5pts
Team Stats
W2StreakL2
7-2-0Home Record2-7-0
7-2-0Away Record0-8-1
7-3-0Last 10 Games2-8-0
5.61Buts par match 2.61
2.00Buts contre par match 6.22
18.92%Pourcentage en avantage numérique12.28%
89.72%Pourcentage en désavantage numérique81.82%
Phantoms
5-9-4, 14pts
1
FINAL
7 Marlies
14-4-0, 28pts
Team Stats
L2StreakW2
3-5-1Home Record7-2-0
2-4-3Away Record7-2-0
4-4-2Last 10 Games7-3-0
4.17Buts par match 5.61
5.56Buts contre par match 2.00
29.03%Pourcentage en avantage numérique18.92%
72.73%Pourcentage en désavantage numérique89.72%
Meneurs d'équipe
Sheldon DriesButs
Sheldon Dries
16
Passes
Jack McBain
21
Points
Jack McBain
33
Jeremy DaviesPlus/Moins
Jeremy Davies
32
Victoires
Joel Hofer
14
Pourcentage d’arrêts
Joel Hofer
0.896

Statistiques d’équipe
Buts pour
101
5.61 GFG
Tirs pour
546
30.33 Avg
Pourcentage en avantage numérique
18.9%
14 GF
Début de zone offensive
43.3%
Buts contre
36
2.00 GAA
Tirs contre
277
15.39 Avg
Pourcentage en désavantage numérique
89.7%%
11 GA
Début de la zone défensive
33.1%
Informations de l'équipe

Directeur généralGarrett
EntraîneurGreg Moore
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs48


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
1Jack McBain (R)XX100.0099807877836764587663688225555572506702321,350,000$
2Sheldon DriesXX100.007874867465598267786070672558586950650292775,000$
3Kyle CliffordX100.007478657778596061505456725377816150630321750,000$
4Chris WagnerXXX100.007071697771747960754862675967706350630322950,000$
5Jack StudnickaX100.007843898065576959555858732555556550620241863,333$
6Liam O'BrienX100.009999446782596558336257742558586450620292775,000$
7Simon Holmstrom (R)X100.005941996370598458255662672548486350600221863,333$
8Martin Chromiak (R)X100.007568926568717460505363646044446450600213820,000$
9Ryan DzingelXX100.007470827870505055695348674666665750590312950,000$
10Zayde Wisdom (R)X100.007569886769596249614746614444445550550213896,667$
11Adam Raska (R)XX100.005763436763677249504646524444445150530223900,000$
12Cal FooteX100.008045847984627459255048692555556150650241850,000$
13Jacob Bernard-Docker (R)X100.0077778375726979572544477225464660506402321,208,333$
14Sean Day (R)X100.008688816688768447254039663744445450620253750,000$
15Alex VlasicX100.0081798675795658512546406538454554506002221,491,667$
16Joseph Cecconi (R)X100.007876846376697547253741623944445350590262750,000$
17Jeremy DaviesX100.006566626866737953253951574846465650580261750,000$
Rayé
1Spencer Smallman (R)X100.007773866373758056504958645544446150590272750,000$
2Keaton Middleton (R)X100.007787556187717750254640623844445350600252750,000$
3Brinson Pasichnuk (R)X100.007974916874596348254040633844445350580252750,000$
4John Ludvig (R)X100.007174646574505150254441593944445150550233775,000$
5Layton Ahac (R)X100.007672866172525545253440603844445150550223925,000$
MOYENNE D’ÉQUIPE100.00777177707463705442495166395151595060
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
1Joel Hofer (R)100.00605468666466566465633044446150600233775,000$
2Jiri Patera (R)100.00544759805855515855543044445450560243775,000$
Rayé
1Olivier Rodrigue (R)100.00554354596056535957563044445550540233775,000$
MOYENNE D’ÉQUIPE100.0056486068615953605958304444575057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Moore62607173575488USA372500,000$


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
1Jack McBainMarlies (TOR)C/LW1612213325320633568175917.65%533520.952468451015711074.49%39200001.9700000132
2Jack StudnickaMarlies (TOR)C181419332580142751144527.45%432618.170221150111490063.77%26500022.0200000332
3Sheldon DriesMarlies (TOR)C/LW181614302320132070244922.86%436920.553148510001823263.89%3600011.6200000412
4Kyle CliffordMarlies (TOR)LW1810182822215242549123320.41%126714.8400003000081171.43%1400002.1000100410
5Chris WagnerMarlies (TOR)C/LW/RW18111627184041772164615.28%236220.1433613580002690085.00%2000001.4900000211
6Martin ChromiakMarlies (TOR)RW1881220174001150163316.00%227515.28044358000013083.33%1200001.4500000011
7Liam O'BrienMarlies (TOR)C18416201445583314817408.33%736220.142356520000440054.24%35400001.1000001001
8Ryan DzingelMarlies (TOR)LW/RW18316191960141425102512.00%226114.5401105000022072.73%1100001.4500000004
9Simon HolmstromMarlies (TOR)RW189716212001733144027.27%533218.48022351000011150.00%1800000.9600000022
10Jacob Bernard-DockerMarlies (TOR)D161141522602012228114.55%936622.90011746000074000.00%000000.8200000010
11Alex VlasicMarlies (TOR)D1627913160192721028.57%1132020.04033144000058000.00%000000.5600000010
12Jeremy DaviesMarlies (TOR)D162573212024493522.22%626516.6000019000017100.00%000000.5300000000
13Sean DayMarlies (TOR)D180662148103464370.00%537320.73011145000064000.00%000000.3200100000
14Keaton MiddletonMarlies (TOR)D1623573810545123816.67%933520.97213949000071000.00%000000.3000101000
15Joseph CecconiMarlies (TOR)D1841524200363121333.33%1131017.27101213000040100.00%000000.3200000100
16Cal FooteMarlies (TOR)D23145205283137.50%04321.631015600006100.00%000001.8500000100
17Adam RaskaMarlies (TOR)LW/RW14022420113240.00%0664.740000000000000.00%200000.6000000000
18Zayde WisdomMarlies (TOR)C16000-220011010.00%0201.2500000000050066.67%300000.00%00000000
Statistiques d’équipe totales ou en moyenne2921011782793102703040823354416542018.57%83499517.1114264068555112966914464.95%112700031.1200302161415
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
1Joel HoferMarlies (TOR)1614200.8961.3896004222120000.00%0160000
Statistiques d’équipe totales ou en moyenne1614200.8961.3896004222120000160000


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 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 RaskaMarlies (TOR)LW/RW222001-09-25Yes178 Lbs5 ft10NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Lien
Alex VlasicMarlies (TOR)D222001-06-05No200 Lbs6 ft6NoNoNo2Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$Lien
Brinson PasichnukMarlies (TOR)D251997-11-23Yes205 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Cal FooteMarlies (TOR)D241998-12-12No227 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien
Chris WagnerMarlies (TOR)C/LW/RW321991-05-26No198 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jack McBainMarlies (TOR)C/LW232000-06-06Yes218 Lbs6 ft4NoNoNo2Pro & Farm1,350,000$1,350,000$0$0$No1,350,000$Lien
Jack StudnickaMarlies (TOR)C241999-02-18No171 Lbs6 ft1NoNoNo1Pro & Farm863,333$863,333$0$0$NoLien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D232000-06-30Yes190 Lbs6 ft1NoNoNo2Pro & Farm1,208,333$1,208,333$0$0$No1,208,333$Lien
Jeremy DaviesMarlies (TOR)D261996-12-04No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Jiri PateraMarlies (TOR)G241999-02-24Yes209 Lbs6 ft2NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Joel HoferMarlies (TOR)G232000-07-30Yes161 Lbs6 ft3NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
John LudvigMarlies (TOR)D232000-02-08Yes201 Lbs6 ft1NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Joseph CecconiMarlies (TOR)D261997-05-23Yes209 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Keaton MiddletonMarlies (TOR)D251998-02-10Yes234 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Kyle CliffordMarlies (TOR)LW321991-01-13No211 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Layton AhacMarlies (TOR)D222001-02-22Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Liam O'BrienMarlies (TOR)C291994-07-29No215 Lbs6 ft1YesNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Martin ChromiakMarlies (TOR)RW212002-08-20Yes187 Lbs6 ft0NoNoNo3Pro & Farm820,000$820,000$0$0$No820,000$820,000$Lien
Olivier RodrigueMarlies (TOR)G232000-07-06Yes156 Lbs6 ft1NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Ryan DzingelMarlies (TOR)LW/RW311992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Sean DayMarlies (TOR)D251998-01-09Yes240 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Sheldon DriesMarlies (TOR)C/LW291994-04-23No180 Lbs5 ft9YesNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Simon HolmstromMarlies (TOR)RW222001-05-24Yes193 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$0$0$NoLien / Lien NHL
Spencer SmallmanMarlies (TOR)RW271996-09-09Yes201 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Zayde WisdomMarlies (TOR)C212002-05-20Yes195 Lbs5 ft10NoNoNo3Pro & Farm896,667$896,667$0$0$No896,667$896,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.96198 Lbs6 ft12.16878,733$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon DriesJack McBainSimon Holmstrom40023
2Chris WagnerLiam O'BrienMartin Chromiak30032
3Kyle CliffordJack StudnickaRyan Dzingel20032
4Zayde WisdomLiam O'BrienSimon Holmstrom10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicCal Foote40041
2Jacob Bernard-DockerJeremy Davies30041
3Joseph CecconiSean Day20041
4Alex VlasicCal Foote10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon DriesJack McBainSimon Holmstrom60005
2Chris WagnerLiam O'BrienMartin Chromiak40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicCal Foote60005
2Jacob Bernard-DockerJeremy Davies40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainSheldon Dries60050
2Liam O'BrienChris Wagner40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicCal Foote60050
2Jacob Bernard-DockerJeremy Davies40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack McBain60050Alex VlasicCal Foote60050
2Chris Wagner40050Jacob Bernard-DockerJeremy Davies40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainSimon Holmstrom60023
2Liam O'BrienSheldon Dries40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicCal Foote60041
2Jacob Bernard-DockerJeremy Davies40041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sheldon DriesJack McBainSimon HolmstromCal FooteAlex Vlasic
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sheldon DriesJack McBainSimon HolmstromCal FooteAlex Vlasic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Studnicka, Jack McBain, Simon HolmstromJack Studnicka, Liam O'BrienJack Studnicka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Vlasic, Cal Foote, Jacob Bernard-DockerCal FooteAlex Vlasic, Joseph Cecconi
Tirs de pénalité
Jack McBain, Sheldon Dries, Chris Wagner, Kyle Clifford, Jack Studnicka
Gardien
#1 : Joel Hofer, #2 : Jiri Patera
Lignes d’attaque personnalisées en prolongation
Jack McBain, Sheldon Dries, Chris Wagner, Kyle Clifford, Jack Studnicka, Liam O'Brien, Liam O'Brien, Simon Holmstrom, Martin Chromiak, Ryan Dzingel, Zayde Wisdom
Lignes de défense personnalisées en prolongation
Cal Foote, Jacob Bernard-Docker, Alex Vlasic, Joseph Cecconi, Jeremy Davies


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
1Bears2200000017215110000009091100000082641.0001731480140342701041731861870210639100.00%30100.00%034051166.54%22439157.29%17927864.39%576437300101203117
2Bruins21100000954110000006151010000034-120.50091524004034270431731861870319343512216.67%16287.50%034051166.54%22439157.29%17927864.39%576437300101203117
3Checkers2200000012210110000005051100000072541.0001220320140342707217318618701352853400.00%140100.00%134051166.54%22439157.29%17927864.39%576437300101203117
4Crunch11000000532000000000001100000053221.000581300403427026173186187018114292150.00%70100.00%034051166.54%22439157.29%17927864.39%576437300101203117
5Penguins220000001138110000006151100000052341.0001117280040342706217318618703713337311218.18%14192.86%034051166.54%22439157.29%17927864.39%576437300101203117
6Phantoms2200000016313110000007161100000092741.000163147004034270701731861870308183412433.33%8275.00%034051166.54%22439157.29%17927864.39%576437300101203117
7Rocket1010000059-41010000059-40000000000000.0005914004034270191731861870361321216116.67%5340.00%034051166.54%22439157.29%17927864.39%576437300101203117
8Sound Tigers2200000016115110000008171100000080841.000162844014034270831731861870168224710330.00%110100.00%034051166.54%22439157.29%17927864.39%576437300101203117
9Thunderbirds211000003211010000012-11100000020220.5003690140342702917318618702974942900.00%10190.00%034051166.54%22439157.29%17927864.39%576437300101203117
10Wolf Pack21100000761110000003121010000045-120.50071320004034270381731861870462045377114.29%19289.47%034051166.54%22439157.29%17927864.39%576437300101203117
Total181440000010136659720000050163497200000512031280.778101178279044034270546173186187027784270410741418.92%1071189.72%134051166.54%22439157.29%17927864.39%576437300101203117
_Since Last GM Reset181440000010136659720000050163497200000512031280.778101178279044034270546173186187027784270410741418.92%1071189.72%134051166.54%22439157.29%17927864.39%576437300101203117
_Vs Conference181440000010136659720000050163497200000512031280.778101178279044034270546173186187027784270410741418.92%1071189.72%134051166.54%22439157.29%17927864.39%576437300101203117
_Vs Division6110000022193301000001212031000000107320.16722386001403427011717318618701143011812729413.79%38684.21%034051166.54%22439157.29%17927864.39%576437300101203117

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1828W21011782795462778427041004
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
18144000010136
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
97200005016
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97200005120
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
741418.92%1071189.72%1
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
17318618704034270
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
34051166.54%22439157.29%17927864.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
576437300101203117


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2023-09-2910Marlies8Bears2AWSommaire du match
2 - 2023-09-3020Marlies8Sound Tigers0AWSommaire du match
3 - 2023-10-0135Sound Tigers1Marlies8BWSommaire du match
4 - 2023-10-0260Penguins1Marlies6BWSommaire du match
6 - 2023-10-0476Bruins1Marlies6BWSommaire du match
8 - 2023-10-0698Checkers0Marlies5BWSommaire du match
9 - 2023-10-07109Marlies3Bruins4ALSommaire du match
10 - 2023-10-08121Marlies2Thunderbirds0AWSommaire du match
11 - 2023-10-09137Bears0Marlies9BWSommaire du match
13 - 2023-10-11155Marlies9Phantoms2AWSommaire du match
14 - 2023-10-12170Thunderbirds2Marlies1BLSommaire du match
15 - 2023-10-13193Wolf Pack1Marlies3BWSommaire du match
16 - 2023-10-14205Marlies5Penguins2AWSommaire du match
17 - 2023-10-15215Marlies5Crunch3AWSommaire du match
19 - 2023-10-17230Rocket9Marlies5BLSommaire du match
20 - 2023-10-18251Marlies4Wolf Pack5ALSommaire du match
22 - 2023-10-20264Marlies7Checkers2AWSommaire du match
23 - 2023-10-21276Phantoms1Marlies7BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,196,833$ 2,196,833$ 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$ 0 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

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