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Marlies
GP: 5 | W: 1 | L: 4
GF: 22 | GA: 27 | PP%: 31.82% | PK%: 80.00%
DG: Pascal Landry | Morale : 14 | Moyenne d’équipe : 63
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Centre de jeu
Reign
7-5-0, 14pts
5
FINAL
4 Marlies
1-4-0, 2pts
Team Stats
L1StreakL1
5-2-0Home Record1-1-0
2-3-0Away Record0-3-0
5-5-0Last 10 Games1-3-1
4.58Buts par match 4.40
4.50Buts contre par match 5.40
18.42%Pourcentage en avantage numérique31.82%
68.63%Pourcentage en désavantage numérique80.00%
Marlies
1-4-0, 2pts
4
FINAL
6 Reign
7-5-0, 14pts
Team Stats
L1StreakL1
1-1-0Home Record5-2-0
0-3-0Away Record2-3-0
1-3-1Last 10 Games5-5-0
4.40Buts par match 4.58
5.40Buts contre par match 4.50
31.82%Pourcentage en avantage numérique18.42%
80.00%Pourcentage en désavantage numérique68.63%
Meneurs d'équipe
Buts
Elias Pettersson
5
Passes
Elias Pettersson
5
Points
Elias Pettersson
10
Plus/Moins
Logan Brown
3
Victoires
Charlie Lindgren
1
Pourcentage d’arrêts
Logan Thompson
0.872

Statistiques d’équipe
Buts pour
22
4.40 GFG
Tirs pour
158
31.60 Avg
Pourcentage en avantage numérique
31.8%
7 GF
Début de zone offensive
34.0%
Buts contre
27
5.40 GAA
Tirs contre
178
35.60 Avg
Pourcentage en désavantage numérique
80.0%%
4 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
Assistance2,998
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)X100.005641829157726186727577668441428514720192500,000$
2Nicholas Baptiste (R)X100.007640757977557377637676676551495045710222800,000$
3Valentin Zykov (R) (A)X100.007226807873817272637281617155494854710221900,000$
4Colton Sissons (R)X100.007852727674717273777168697459493744700241900,000$
5Aleksi Saarela (R)X100.006625758263685875676872587649446952670203700,000$
6Logan Brown (R)X100.007648677477588069607170595942427665660191500,000$
7Mathieu Olivier (R)X100.007543737280526865636867645943456465650201500,000$
8Tyler Benson (R)X100.007643676977557669556871645342427465650191500,000$
9Martin Necas (R)X100.005535777049636562818470475240408559640182500,000$
10Alex Formenton (R)X100.006523795681616964596780455840408765630182500,000$
11Henri Ikonen (R)X100.007044636663487266576867604444443844620222550,000$
12Tobias Lindberg (R)X100.006842697058596561676162546444443863610222500,000$
13Brett Pesce (R)X100.006630798372727777458265735561494363720231950,000$
14Jeff Corbett (R)X100.006735846354756864467274695551494241670232700,000$
15Lucas Carlsson (R)X100.007238856869666363416252744844436835670201500,000$
16Pierre-Olivier Joseph (R)X100.004628788657596886348156664640409139650182500,000$
17Keaton Thompson (R)X100.006039727361607164497361725646464666650223600,000$
18Dennis Gilbert (R)X100.006936726556646350416651723743454556620212500,000$
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’ÉQUIPE100.00643470686360646553676359564544594162
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 Lindgren100.00747779596588776158777555495265690242750,000$
2Logan Thompson (R)100.00795370797863557067518644447265660202500,000$
Rayé
MOYENNE D’ÉQUIPE100.0077657569727666666364815047626568
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
1Elias PetterssonMarlies (TOR)C55510-3757153082016.67%511623.311344160001170047.96%19622001.7200010120
2Brett PesceMarlies (TOR)D5257-84011151451214.29%1314529.07224419000016000.00%037000.9600000100
3Nicholas BaptisteMarlies (TOR)RW5246-211584138615.38%010020.13022516000000050.00%648001.1900001000
4Pierre-Olivier JosephMarlies (TOR)D50550404810520.00%49218.4000008000010000.00%022001.0900000001
5Valentin ZykovMarlies (TOR)LW5235-31007684925.00%111523.002022160000140045.45%1126000.8700000000
6Colton SissonsMarlies (TOR)C5224-220119148814.29%28917.84112112000080056.72%6730000.9000000000
7Martin NecasMarlies (TOR)RW5134-27513152166.67%37815.71123112000000050.00%220001.0200010000
8Logan BrownMarlies (TOR)C52133007154640.00%1408.0800000000000042.86%1421001.4900000000
9Lucas CarlssonMarlies (TOR)D5123-2001843225.00%410220.46000011000011000.00%021000.5900000000
10Aleksi SaarelaMarlies (TOR)C5112-60071284912.50%26513.1900000000080068.42%3831000.6100000000
11Henri IkonenMarlies (TOR)LW51122004353220.00%1438.630000000006000.00%200000.9300000000
12Tyler BensonMarlies (TOR)LW5202-60084103120.00%16913.9100001200017100.00%331000.5800000000
13Dennis GilbertMarlies (TOR)D50111115440110.00%45911.880000000001000.00%001000.3400001000
14Jeff CorbettMarlies (TOR)D5011-720861420.00%714328.77011017000017000.00%034000.1400000000
15Alex FormentonMarlies (TOR)LW5101-2204481112.50%27014.00000000000200100.00%230000.2900000000
16Tobias LindbergMarlies (TOR)RW5011300212300.00%1387.640000000000000.00%000000.5200000000
17Keaton ThompsonMarlies (TOR)D5000000174100.00%06412.870000000006000.00%003000.00%00000000
18Mathieu OlivierMarlies (TOR)RW5000-600937100.00%15010.100000000000000.00%002000.00%00000000
Statistiques d’équipe totales ou en moyenne90223557-406020104113158689713.92%52148416.50711181714600021291051.32%3413439000.7700022221
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)51210.8405.16244002113150100.00%050000
2Logan ThompsonMarlies (TOR)20100.8726.10590064726000.00%005000
Statistiques d’équipe totales ou en moyenne71310.8485.3530300271787610055000


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
1Reign514000002227-5211000001064303000001221-920.2002235570068801585658440178526010422731.82%20480.00%06411655.17%6613050.77%459547.37%11466100458945
Total514000002227-5211000001064303000001221-920.2002235570068801585658440178526010422731.82%20480.00%06411655.17%6613050.77%459547.37%11466100458945
_Since Last GM Reset514000002227-5211000001064303000001221-920.2002235570068801585658440178526010422731.82%20480.00%06411655.17%6613050.77%459547.37%11466100458945
_Vs Conference514000002227-5211000001064303000001221-920.2002235570068801585658440178526010422731.82%20480.00%06411655.17%6613050.77%459547.37%11466100458945
_Vs Division514000002227-5211000001064303000001221-920.2002235570068801585658440178526010422731.82%20480.00%06411655.17%6613050.77%459547.37%11466100458945

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1223557158178526010400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400002227
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000106
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30300001221
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
22731.82%20480.00%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
56584406880
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
6411655.17%6613050.77%459547.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11466100458945


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 - 2022-10-274Marlies3Reign8ALR1Sommaire du match
2 - 2022-10-2812Marlies5Reign7ALSommaire du match
3 - 2022-10-2920Reign1Marlies6BWR1Sommaire du match
4 - 2022-10-3028Reign5Marlies4BLXSommaire du match
5 - 2022-10-3136Marlies4Reign6ALR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0001,996
Assistance PCT100.00%99.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2998 - 99.93% 89,219$178,437$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,675,000$ 1,670,000$ 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