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Marlies
GP: 80 | W: 42 | L: 34 | OTL: 4 | P: 88
GF: 341 | GA: 346 | PP%: 25.31% | PK%: 73.98%
DG: Pascal Landry | Morale : 48 | Moyenne d’équipe : 63
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Centre de jeu
Sound Tigers
43-31-6, 92pts
7
FINAL
6 Marlies
42-34-4, 88pts
Team Stats
SOW1StreakOTW1
21-18-1Home Record24-15-1
22-13-5Away Record18-19-3
4-4-2Last 10 Games3-7-0
4.33Buts par match 4.26
4.09Buts contre par match 4.33
21.75%Pourcentage en avantage numérique25.31%
80.99%Pourcentage en désavantage numérique73.98%
Marlies
42-34-4, 88pts
4
FINAL
3 Barracuda
33-38-9, 75pts
Team Stats
OTW1StreakOTL1
24-15-1Home Record16-19-5
18-19-3Away Record17-19-4
3-7-0Last 10 Games7-2-1
4.26Buts par match 3.96
4.33Buts contre par match 4.45
25.31%Pourcentage en avantage numérique25.85%
73.98%Pourcentage en désavantage numérique74.67%
Meneurs d'équipe
Buts
Nicholas Baptiste
48
Passes
Brett Pesce
67
Points
Nicholas Baptiste
110
Plus/Moins
Jeff Corbett
10
Victoires
Charlie Lindgren
28
Pourcentage d’arrêts
Logan Thompson
0.872

Statistiques d’équipe
Buts pour
341
4.26 GFG
Tirs pour
2562
32.03 Avg
Pourcentage en avantage numérique
25.3%
82 GF
Début de zone offensive
34.7%
Buts contre
346
4.33 GAA
Tirs contre
2669
33.36 Avg
Pourcentage en désavantage numérique
74.0%%
83 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralPascal Landry
EntraîneurPeter DeBoer
DivisionFritz-Kraatz
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2Valentin Zykov


Informations de l’aréna

Capacité3,000
Assistance2,810
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 250
Espoirs0


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
1Elias Pettersson (R)X100.005641829157726186727577668441428518720192500,000$
2Nicholas Baptiste (R)X100.007640757977557377637676676551495047710222800,000$
3Valentin Zykov (R) (A)X100.007226807873817272637281617155494857710221900,000$
4Colton Sissons (R)X100.007852727674717273777168697459493748700241900,000$
5Aleksi Saarela (R)X100.006625758263685875676872587649446955670203700,000$
6Logan Brown (R)X100.007648677477588069607170595942427668660191500,000$
7Mathieu Olivier (R)X100.007543737280526865636867645943456468650201500,000$
8Tyler Benson (R)X100.007643676977557669556871645342427468650191500,000$
9Martin Necas (R)X100.005535777049636562818470475240408565640182500,000$
10Alex Formenton (R)X100.006523795681616964596780455840408768630182500,000$
11Henri Ikonen (R)X100.007044636663487266576867604444443847620222550,000$
12Tobias Lindberg (R)X100.006842697058596561676162546444443866610222500,000$
13Brett Pesce (R)X100.006630798372727777458265735561494366720231950,000$
14Jeff Corbett (R)X100.006735846354756864467274695551494245670232700,000$
15Lucas Carlsson (R)X100.007238856869666363416252744844436838670201500,000$
16Pierre-Olivier Joseph (R)X100.004628788657596886348156664640409152650182500,000$
17Keaton Thompson (R)X100.006039727361607164497361725646464669650223600,000$
18Dennis Gilbert (R)X100.006936726556646350416651723743454558620212500,000$
Rayé
1Jakob Forsbacka-Karlsson (R)X100.006738656755585354605168545344444919580213450,000$
2Otto Koivula (R)X100.005232625569665366655470446541416419580191500,000$
3Jaden Lindo (R)X100.006232615463525262505962505643434820560212350,000$
4Jonathan Davidsson (R)X100.005618705959584959576954425342466020550204650,000$
5Radovan Bondra (R)X100.006624575354435858376254504042424720520202350,000$
6Mike Hardman (R)X100.006131505967506255474848484940405920510182500,000$
7Marc McLaughlin (R)X100.004632644851565958515053366140406820500182500,000$
8Dmitri Samorukov (R)X100.006023776456576342296345694040407346590182500,000$
9Brycen Martin (R)X100.005729616752444968236746653743435020580212350,000$
10Simon Bourque (R)X100.003931545645465854256139584442425120500201250,000$
MOYENNE D’ÉQUIPE100.00643470686360646553676359564544594462
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
1Charlie Lindgren100.00747779596588776158777555495268690242750,000$
2Logan Thompson (R)100.00795370797863557067518644447268660202500,000$
Rayé
MOYENNE D’ÉQUIPE100.0077657569727666666364815047626868
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer67717386546362Can563666,000$


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
1Nicholas BaptisteMarlies (TOR)RW714862110-4815106862778517517.33%43140919.86132336512281015647254.17%1207325021.5624000926
2Colton SissonsMarlies (TOR)C70465399764101291412207111120.91%23142320.331210223119522471794150.86%19213330031.3900011656
3Valentin ZykovMarlies (TOR)LW70405797-5300107902317217117.32%49149221.321319324023021341374047.22%1445827001.3022000656
4Brett PesceMarlies (TOR)D67126779-651511614120766805.80%107188628.1562228382610228220000.00%06171000.8400100322
5Aleksi SaarelaMarlies (TOR)C76304070-8140104982326813712.93%24121716.027152230166202101158050.18%8554524011.1501000413
6Martin NecasMarlies (TOR)RW80183452-144558652152459111.84%23117914.74491316134000010057.14%56328000.8823010023
7Logan BrownMarlies (TOR)C80222749150010081161539613.66%1998612.332352340115762244.31%580326010.9904000530
8Tyler BensonMarlies (TOR)LW80182644-454013984132347913.64%34129616.2146101215300001171441.79%671324000.6811000033
9Pierre-Olivier JosephMarlies (TOR)D6093342-11200348413551566.67%75132122.026915191740223111100.00%03039000.6400000010
10Mathieu OlivierMarlies (TOR)RW80202242-730010165115396317.39%25104613.0834781100111302049.18%612518000.8001000330
11Elias PetterssonMarlies (TOR)C18101727-700233489234611.24%940022.26461010580224531246.31%609217011.3511000301
12Jeff CorbettMarlies (TOR)D6452227102210791138833425.68%92160525.08145161681012210100.00%02239100.3400011002
13Keaton ThompsonMarlies (TOR)D80521261655741067638246.58%72153119.1433681840111170010.00%01438000.3400001000
14Matthew HighmoreMaple LeafsC57131124060442271165118.31%34948.6720227000182050.28%17797000.9711000011
15Tobias LindbergMarlies (TOR)RW78816246160534151193215.69%136708.60000010000000355.56%1898000.7200000001
16Alex FormentonMarlies (TOR)LW8012921-7160885565234618.46%13105213.161122970001391158.33%361210000.4013000011
17Henri IkonenMarlies (TOR)LW5991019-2235684275184012.00%175769.77000150000620055.56%91412000.6600100001
18Dennis GilbertMarlies (TOR)D7101010-230058723924200.00%55109115.37011163000094000.00%0434000.1800000000
19Lucas CarlssonMarlies (TOR)D4201010710037804222150.00%4991521.790115108000088000.00%0628000.2201000000
20Dmitri SamorukovMarlies (TOR)D63066-21202567271070.00%5481012.86000011000030000.00%0230000.1500000000
21Otto KoivulaMarlies (TOR)LW36235512013151641512.50%22737.6000003000020052.00%2512000.3700000000
22Brycen MartinMarlies (TOR)D32033-7260153210550.00%1940612.7100007000012000.00%0111000.1500000000
23Jakob Forsbacka-KarlssonMarlies (TOR)C1111212087104100.00%1817.4300000000090030.00%3010000.4900000000
24Jaden LindoMarlies (TOR)RW16101120108101310.00%51056.59000030000000100.00%200000.1900000000
25Marc McLaughlinMarlies (TOR)C2000200012010.00%0178.6800000000000071.43%700000.00%00000000
26Haydn FleuryMaple LeafsD1000-100231000.00%22727.020000200007000.00%001000.00%00000000
27Radovan BondraMarlies (TOR)RW4000000100000.00%141.090000000002000.00%100000.00%00000000
28Simon BourqueMarlies (TOR)D8000-420382320.00%49011.320000200000000.00%001000.00%00000000
29Jonathan DavidssonMarlies (TOR)RW4000000000000.00%041.170000100000000.00%300000.00%00000000
Statistiques d’équipe totales ou en moyenne1460329560889-5068345162316282527823141213.02%8332341916.0481136217292242581220521847341649.18%4721518500180.761022233392936
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
1Charlie LindgrenMarlies (TOR)59281930.8714.252966402101622719600.706175327003
2Logan ThompsonMarlies (TOR)42141510.8724.291873001341046548010.75042753012
Statistiques d’équipe totales ou en moyenne101423440.8714.274839403442668126761218080015


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
Aleksi SaarelaMarlies (TOR)C201997-01-01Yes200 Lbs5 ft10NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$Lien
Alex FormentonMarlies (TOR)LW181999-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brett PesceMarlies (TOR)D231994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$NoLien
Brycen MartinMarlies (TOR)D211996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm350,000$0$0$No350,000$Lien
Charlie LindgrenMarlies (TOR)G241993-01-01No180 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Colton SissonsMarlies (TOR)C241993-01-01Yes187 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien
Dennis GilbertMarlies (TOR)D211996-01-01Yes216 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dmitri SamorukovMarlies (TOR)D181999-01-01Yes188 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Elias PetterssonMarlies (TOR)C191998-01-01Yes176 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Henri IkonenMarlies (TOR)LW221995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm550,000$0$0$No550,000$
Jaden LindoMarlies (TOR)RW211996-01-01Yes215 Lbs6 ft2NoNoNo2Pro & Farm350,000$0$0$No350,000$Lien
Jakob Forsbacka-KarlssonMarlies (TOR)C211996-01-01Yes184 Lbs6 ft1NoNoNo3Pro & Farm450,000$0$0$No500,000$550,000$Lien
Jeff CorbettMarlies (TOR)D231994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Jonathan DavidssonMarlies (TOR)RW201997-01-01Yes181 Lbs5 ft11NoNoNo4Pro & Farm650,000$0$0$No650,000$650,000$650,000$Lien
Keaton ThompsonMarlies (TOR)D221995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Logan BrownMarlies (TOR)C191998-01-01Yes227 Lbs6 ft6NoNoNo1Pro & Farm500,000$0$0$NoLien
Logan ThompsonMarlies (TOR)G201997-01-01Yes201 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Lucas CarlssonMarlies (TOR)D201997-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Marc McLaughlinMarlies (TOR)C181999-01-01Yes210 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Martin NecasMarlies (TOR)RW181999-01-01Yes189 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Mathieu OlivierMarlies (TOR)RW201997-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Mike HardmanMarlies (TOR)LW181999-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nicholas BaptisteMarlies (TOR)RW221995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No900,000$Lien
Otto KoivulaMarlies (TOR)LW191998-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Pierre-Olivier JosephMarlies (TOR)D181999-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Radovan BondraMarlies (TOR)RW201997-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm350,000$0$0$No350,000$Lien
Simon BourqueMarlies (TOR)D201997-01-01Yes198 Lbs6 ft1NoNoNo1Pro & Farm250,000$0$0$NoLien
Tobias LindbergMarlies (TOR)RW221995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tyler BensonMarlies (TOR)LW191998-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Valentin ZykovMarlies (TOR)LW221995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3020.40195 Lbs6 ft21.87558,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valentin ZykovElias PetterssonNicholas Baptiste40122
2Alex FormentonColton SissonsMartin Necas30122
3Tyler BensonAleksi SaarelaMathieu Olivier20122
4Henri IkonenLogan BrownTobias Lindberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett PesceJeff Corbett40122
2Lucas CarlssonPierre-Olivier Joseph30122
3Keaton ThompsonDennis Gilbert20122
4Brett PesceJeff Corbett10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valentin ZykovElias PetterssonNicholas Baptiste60122
2Tyler BensonColton SissonsMartin Necas40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett PesceJeff Corbett60122
2Lucas CarlssonPierre-Olivier Joseph40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Elias PetterssonValentin Zykov60122
2Colton SissonsTyler Benson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett PesceJeff Corbett60122
2Lucas CarlssonPierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Elias Pettersson60122Brett PesceJeff Corbett60122
2Colton Sissons40122Lucas CarlssonPierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Elias PetterssonNicholas Baptiste60122
2Colton SissonsValentin Zykov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett PesceJeff Corbett60122
2Lucas CarlssonPierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valentin ZykovElias PetterssonNicholas BaptisteBrett PesceJeff Corbett
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valentin ZykovElias PetterssonNicholas BaptisteBrett PesceJeff Corbett
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksi Saarela, Logan Brown, Mathieu OlivierAleksi Saarela, Logan BrownAleksi Saarela
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre-Olivier Joseph, Keaton Thompson, Dennis GilbertPierre-Olivier JosephPierre-Olivier Joseph, Keaton Thompson
Tirs de pénalité
Elias Pettersson, Nicholas Baptiste, Valentin Zykov, Colton Sissons, Aleksi Saarela
Gardien
#1 : Charlie Lindgren, #2 : Logan Thompson


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
1Admirals4210100014131110000007433110100079-260.7501426400099109123151468008818574611836249517423.53%12375.00%1857174249.20%934191048.90%665136248.83%168493117047541455719
2Barracuda311010001192110000005322010100066040.6671118290099109123151098008818574610827164514321.43%8187.50%2857174249.20%934191048.90%665136248.83%168493117047541455719
3Bears21100000911-2110000005321010000048-420.500917260099109123156880088185746742616442150.00%8275.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
4Comets21000001871110000006421000000123-130.750812200099109123156580088185746592183810110.00%40100.00%1857174249.20%934191048.90%665136248.83%168493117047541455719
5Condors41300000914-53120000089-11010000015-420.250916250099109123151238008818574613741327914214.29%15380.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
6Crunch3100011015141110000006512000011099050.83315233800991091231588800881857469735285815640.00%14471.43%0857174249.20%934191048.90%665136248.83%168493117047541455719
7Devils21100000550110000004221010000013-220.500510150099109123157580088185746632012313133.33%6266.67%0857174249.20%934191048.90%665136248.83%168493117047541455719
8Eagles303000001018-81010000045-120200000613-700.000101727009910912315114800881857461163129711218.33%8362.50%0857174249.20%934191048.90%665136248.83%168493117047541455719
9Griffins43100000171522200000010642110000079-260.7501727440099109123151288008818574612634327315320.00%16475.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
10Heat6330000030282312000001416-2321000001612460.50030528200991091231518280088185746204606511833412.12%301163.33%0857174249.20%934191048.90%665136248.83%168493117047541455719
11Icehogs3010101013121201010009901000001043140.66713213400991091231577800881857461032524569222.22%12191.67%0857174249.20%934191048.90%665136248.83%168493117047541455719
12Little Stars522010002425-1210010001183312000001317-460.6002441650099109123151608008818574615942469921838.10%23482.61%1857174249.20%934191048.90%665136248.83%168493117047541455719
13Monsters31100010161421010000045-121000010129340.66716264200991091231593800881857461083524737342.86%12375.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
14Moose312000001719-221100000129310100000510-520.333172845009910912315898008818574611453188113646.15%9455.56%0857174249.20%934191048.90%665136248.83%168493117047541455719
15Penguins211000009451010000013-21100000081720.5009162500991091231561800881857467422303111436.36%10190.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
16Phantoms732010102930-14210100015150311000101415-1100.714294675009910912315197800881857462367810315433515.15%39879.49%2857174249.20%934191048.90%665136248.83%168493117047541455719
17Punishers21000100990110000003211000010067-130.750915240099109123156580088185746662222459333.33%11372.73%1857174249.20%934191048.90%665136248.83%168493117047541455719
18Rampage211000001012-21010000037-41100000075220.50010172700991091231570800881857466823163211218.18%8362.50%0857174249.20%934191048.90%665136248.83%168493117047541455719
19Reign624000002829-13210000017125303000001117-640.33328487600991091231519180088185746192595412820840.00%27485.19%0857174249.20%934191048.90%665136248.83%168493117047541455719
20Rocket31100100101002010010058-31100000052330.500101626009910912315106800881857468423226911327.27%11190.91%0857174249.20%934191048.90%665136248.83%168493117047541455719
21Senators312000001213-1211000009811010000035-220.333122133009910912315928008818574611736145810550.00%7614.29%0857174249.20%934191048.90%665136248.83%168493117047541455719
22Sound Tigers202000001114-31010000067-11010000057-200.0001117281099109123156180088185746662524457114.29%12650.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
23Thunderbirds21000010633100000103211100000031241.0006713009910912315648008818574652201043600.00%5180.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
24Wolfpack211000001013-3110000007431010000039-620.50010152500991091231573800881857467223104212433.33%5340.00%0857174249.20%934191048.90%665136248.83%168493117047541455719
25Wolves22000000954110000006331100000032141.000916250099109123156580088185746562014389222.22%7271.43%1857174249.20%934191048.90%665136248.83%168493117047541455719
Total80323405351341346-5402015031101801592140121902241161187-26880.550341568909109910912315256280088185746266983769316463248225.31%3198373.98%9857174249.20%934191048.90%665136248.83%168493117047541455719
_Since Last GM Reset80323405351341346-5402015031101801592140121902241161187-26880.550341568909109910912315256280088185746266983769316463248225.31%3198373.98%9857174249.20%934191048.90%665136248.83%168493117047541455719
_Vs Conference4919220413020620602612110210011510411237110203091102-11530.541206345551009910912315153380088185746164750742810291964824.49%1984975.25%5857174249.20%934191048.90%665136248.83%168493117047541455719
_Vs Division1989010108787010540100046433935000104144-3200.5268714623300991091231557080088185746632197222400861719.77%962376.04%2857174249.20%934191048.90%665136248.83%168493117047541455719

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8088OTW134156890925622669837693164610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8032345351341346
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020153110180159
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4012192241161187
Derniers 10 matchs
WLOTWOTL SOWSOL
271000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3248225.31%3198373.98%9
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
800881857469910912315
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
857174249.20%934191048.90%665136248.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168493117047541455719


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 - 2022-10-271Marlies6Phantoms5AWXXR1Sommaire du match
4 - 2022-10-3016Phantoms4Marlies6BWSommaire du match
6 - 2022-11-0130Reign4Marlies5BWR1Sommaire du match
11 - 2022-11-0653Phantoms4Marlies5BWXSommaire du match
13 - 2022-11-0870Marlies2Reign4ALR1Sommaire du match
16 - 2022-11-1183Heat6Marlies2BLSommaire du match
20 - 2022-11-15103Marlies7Heat2AWR1Sommaire du match
21 - 2022-11-16109Condors3Marlies2BLSommaire du match
24 - 2022-11-19131Rocket5Marlies3BLSommaire du match
26 - 2022-11-21143Marlies1Admirals5ALSommaire du match
27 - 2022-11-22145Marlies5Little Stars3AWSommaire du match
30 - 2022-11-25157Icehogs4Marlies5BWXSommaire du match
32 - 2022-11-27168Marlies7Monsters5AWSommaire du match
34 - 2022-11-29178Marlies2Phantoms5ALR1Sommaire du match
36 - 2022-12-01190Marlies2Admirals1AWXSommaire du match
38 - 2022-12-03200Little Stars4Marlies5BWXSommaire du match
41 - 2022-12-06216Wolfpack4Marlies7BWSommaire du match
45 - 2022-12-10233Marlies3Wolfpack9ALSommaire du match
47 - 2022-12-12246Punishers2Marlies3BWSommaire du match
51 - 2022-12-16261Marlies3Thunderbirds1AWSommaire du match
53 - 2022-12-18272Heat8Marlies6BLR1Sommaire du match
56 - 2022-12-21291Griffins5Marlies7BWSommaire du match
58 - 2022-12-23298Marlies4Admirals3AWSommaire du match
60 - 2022-12-25305Marlies5Heat8ALR1Sommaire du match
63 - 2022-12-28322Rampage7Marlies3BLSommaire du match
65 - 2022-12-30330Marlies5Sound Tigers7ALSommaire du match
67 - 2023-01-01341Marlies2Comets3ALXXSommaire du match
68 - 2023-01-02353Bears3Marlies5BWSommaire du match
72 - 2023-01-06373Little Stars4Marlies6BWSommaire du match
75 - 2023-01-09386Marlies4Heat2AWR1Sommaire du match
77 - 2023-01-11398Marlies4Icehogs3AWXXSommaire du match
79 - 2023-01-13405Icehogs5Marlies4BLSommaire du match
81 - 2023-01-15419Marlies7Rampage5AWSommaire du match
84 - 2023-01-18431Rocket3Marlies2BLXSommaire du match
86 - 2023-01-20443Marlies4Reign6ALR1Sommaire du match
88 - 2023-01-22450Marlies5Monsters4AWXXSommaire du match
89 - 2023-01-23459Barracuda3Marlies5BWSommaire du match
92 - 2023-01-26478Marlies4Eagles7ALSommaire du match
93 - 2023-01-27486Crunch5Marlies6BWSommaire du match
96 - 2023-01-30503Marlies6Punishers7ALXSommaire du match
98 - 2023-02-01511Marlies1Devils3ALSommaire du match
99 - 2023-02-02516Condors2Marlies4BWSommaire du match
104 - 2023-02-07540Moose6Marlies4BLSommaire du match
106 - 2023-02-09553Marlies3Wolves2AWSommaire du match
108 - 2023-02-11562Moose3Marlies8BWSommaire du match
112 - 2023-02-15584Devils2Marlies4BWSommaire du match
117 - 2023-02-20610Admirals4Marlies7BWSommaire du match
121 - 2023-02-24630Condors4Marlies2BLSommaire du match
123 - 2023-02-26637Marlies6Phantoms5AWR1Sommaire du match
125 - 2023-02-28647Marlies6Crunch5AWXXSommaire du match
127 - 2023-03-02655Marlies2Eagles6ALSommaire du match
128 - 2023-03-03664Reign4Marlies10BWR1Sommaire du match
131 - 2023-03-06685Griffins1Marlies3BWSommaire du match
134 - 2023-03-09700Marlies4Bears8ALSommaire du match
137 - 2023-03-12714Phantoms5Marlies1BLR1Sommaire du match
139 - 2023-03-14724Marlies5Rocket2AWSommaire du match
141 - 2023-03-16737Heat2Marlies6BWR1Sommaire du match
143 - 2023-03-18750Marlies1Condors5ALSommaire du match
146 - 2023-03-21761Marlies8Penguins1AWSommaire du match
147 - 2023-03-22769Wolves3Marlies6BWSommaire du match
150 - 2023-03-25782Marlies5Reign7ALR1Sommaire du match
152 - 2023-03-27794Phantoms2Marlies3BWSommaire du match
156 - 2023-03-31814Penguins3Marlies1BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2023-04-06838Comets4Marlies6BWSommaire du match
164 - 2023-04-08849Marlies5Moose10ALSommaire du match
167 - 2023-04-11864Eagles5Marlies4BLSommaire du match
168 - 2023-04-12870Marlies3Crunch4ALXSommaire du match
171 - 2023-04-15890Senators5Marlies4BLSommaire du match
176 - 2023-04-20909Marlies3Senators5ALSommaire du match
178 - 2023-04-22918Thunderbirds2Marlies3BWXXSommaire du match
181 - 2023-04-25933Marlies3Little Stars6ALSommaire du match
182 - 2023-04-26940Marlies4Griffins3AWSommaire du match
184 - 2023-04-28948Reign4Marlies2BLR1Sommaire du match
188 - 2023-05-02968Marlies3Griffins6ALSommaire du match
189 - 2023-05-03971Monsters5Marlies4BLSommaire du match
193 - 2023-05-07993Senators3Marlies5BWSommaire du match
198 - 2023-05-121009Marlies5Little Stars8ALSommaire du match
199 - 2023-05-131014Marlies2Barracuda3ALSommaire du match
202 - 2023-05-161023Sound Tigers7Marlies6BLSommaire du match
205 - 2023-05-191038Marlies4Barracuda3AWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,52837,861
Assistance PCT93.16%94.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2810 - 93.66% 83,380$3,335,216$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,314,558$ 2,125,000$ 2,120,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,316$ 1,609,092$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,549$ 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