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Toronto Marlies
GP: 78 | W: 29 | L: 45 | OTL: 4 | P: 79
GF: 217 | GA: 272 | PP%: 22.76% | PK%: 78.92%
DG: Emile | Morale : 40 | Moyenne d’équipe : 67
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Centre de jeu
Trois Rivieres Lions
41-28-9, 125pts
2
FINAL
1 Toronto Marlies
29-45-4, 79pts
Team Stats
W3SéquenceL3
21-14-4Fiche domicile15-23-1
20-14-5Fiche domicile14-22-3
7-3-0Derniers 10 matchs4-5-1
3.50Buts par match 2.78
3.21Buts contre par match 3.49
20.25%Pourcentage en avantage numérique22.76%
80.73%Pourcentage en désavantage numérique78.92%
Toronto Marlies
29-45-4, 79pts
4
FINAL
9 Trois Rivieres Lions
41-28-9, 125pts
Team Stats
L3SéquenceW3
15-23-1Fiche domicile21-14-4
14-22-3Fiche domicile20-14-5
4-5-1Derniers 10 matchs7-3-0
2.78Buts par match 3.50
3.49Buts contre par match 3.21
22.76%Pourcentage en avantage numérique20.25%
78.92%Pourcentage en désavantage numérique80.73%
Meneurs d'équipe
Phil KesselButs
Phil Kessel
26
Alex ChiassonPasses
Alex Chiasson
28
Phil KesselPoints
Phil Kessel
52
Ilya LyubushkinPlus/Moins
Ilya Lyubushkin
20
Victoires
Matt O'Connor
14
Pourcentage d’arrêts
Tomas Popperle
0.909

Statistiques d’équipe
Buts pour
217
2.78 GFG
Tirs pour
2484
31.85 Avg
Pourcentage en avantage numérique
22.8%
61 GF
Début de zone offensive
37.7%
Buts contre
272
3.49 GAA
Tirs contre
2539
32.55 Avg
Pourcentage en désavantage numérique
78.9%%
82 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralEmile
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,285
Billets de saison1,200


Informations de la formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 250
Espoirs16


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
1Eric O'Dell0X100.00794378726781817085747061718277040700332750,000$
2Alex Chiasson0X100.00784673698082766963726862688072040690321600,000$
3Phil Kessel0X100.00565079717082817163717460718679040690351750,000$
4Arthur Kaliyev (R)0X100.006047807180757770507172676968760406902231,250,000$
5Gaetan Haas0X100.00734274816375746675696968717967040680312750,000$
6Max Willman0X100.00784277777076846260646670677669040680283500,000$
7Casey Cizikas0X100.00824278736580836385676466678068040670322750,000$
8Erik Haula0X100.00594774726879796581696470668068040670322900,000$
9Matthew Peca0X100.00584281845076786580696762707861040670301500,000$
10Marian Studenic (R)0X100.00614382817075766059656371666874040670242600,000$
11Pontus Holmberg (R)0X100.00584574707072736570696670667364040660243500,000$
12Henrik Borgstrom0X100.00564276708073816069626372637064040650253650,000$
13Mattias Tedenby0X100.00663571776372706054606360658264040640331800,000$
14Ilya Lyubushkin0X100.00965076719672746650696370647775040720294950,000$
15Jacob Larsson0X100.00634584817976826850726466657875040700261900,000$
16Michal Jordan0X100.00564685678277786550646167598081040680321550,000$
17Paul Postma0X100.00534385708280816851716164628480040680342750,000$
18Ben Gleason0X100.00511084835068676050625966606156040630251750,000$
Rayé
1Lukas Vejdemo0X100.00584483717570796167586473657577040660271600,000$
2Mathieu Olivier0X100.00816758668571726053646272627371040660262500,000$
3Hayden Hodgson0X100.00776545667773756068656272627569040660272500,000$
4Rocco Grimaldi0X100.00574081814871706158646667677863040650301500,000$
5Zac Dalpe0X100.00574372687674746173656363628266040650331800,000$
6J.C. Beaudin0X100.00875573726066666074615973626365040640262500,000$
7Phil Varone0X100.00523076775566696269666565668057040640322650,000$
8Jesper Froden0X100.00553576746068696050635972637860040640281750,000$
9Jacob Lucchini0X100.00664084716071796050566169637875040640281750,000$
10Carson Meyer0X100.00734071735567685550615971617562040630251750,000$
11Andrew Bodnarchuk0X93.02764383737574736750716366628485040700341800,000$
12Petteri Lindbohm0X100.00835472748270786252646067597772040690292500,000$
13Jacob Middleton0X100.00736767708966656350656169597073040670272500,000$
14Olli Juolevi0X100.00554078807067756050565965597062040650251750,000$
15Jordan Gross0X100.00554278766568676350676164607652040640283500,000$
MOYENNE D’ÉQUIPE99.7966447674707375636166646764766904067
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
1Marek Schwarz098.0085727676788081797980789068040770372750,000$
2Matt O'Connor0100.0080636390767778787777787964040740311850,000$
Rayé
1JESPER WALLSTEDT (R)0100.0062645071696667707067675147040640201500,000$
MOYENNE D’ÉQUIPE99.337666637974747576757574736004072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Isac LundestromQuebec NordiquesC7739589762915641702889216213.54%37153919.99122739442701012468253.54%20194830231.2627102873
2Rafael Harvey-PinardQuebec NordiquesRW713454881511515411031810220810.69%34149321.03162642652360111403437.04%1089329011.1813102574
3Nils HoglanderQuebec NordiquesLW74414586-538301121503458317611.88%38159821.59917264317100031569148.61%28810135011.0824024773
4Barrett HaytonQuebec NordiquesC64303161125325120154177609516.95%28129620.2596152418330351133252.35%14901933100.9400221552
5Phil KesselToronto Marlies (QUE)LW68262652-27793510396266941249.77%35125518.467714321470114563252.48%1015631000.8305232144
6Eric O'DellToronto Marlies (QUE)C38222749-1245158478146509115.07%2072419.081081822911013233152.51%10362316011.3500102511
7Dawson MercerQuebec NordiquesLW44192847-279357475159538511.95%2992120.95910192111701121144144.59%2965216001.0202115332
8Alex ChiassonToronto Marlies (QUE)RW74172845-1862014291183571149.29%36133318.02481221162224102050145.52%1342825000.6824121330
9Gaetan HaasToronto Marlies (QUE)LW62182745-22922013773202611118.91%33110317.7951520341260006934147.62%843626000.8224112314
10Jamie DrysdaleQuebec NordiquesD7773845-92006014516774854.19%116196225.4951217332800116176010%03975000.4600000201
11Marian StudenicToronto Marlies (QUE)RW78182139-122810631031735410910.40%29126616.237714181960000182134.67%754224000.6200101111
12Arthur KaliyevToronto Marlies (QUE)RW78152237-3763010111915737849.55%30138817.80178121651235793041.24%973122010.5301213231
13K'Andre MillerQuebec NordiquesD764313515773521615914049592.86%112196225.8331316192800002177300%03178000.3601412121
14Casey CizikasToronto Marlies (QUE)LW6712213312359486102398411.76%2091613.6826847401131731055.96%2771616000.7212010021
15Matthew PecaToronto Marlies (QUE)C5592231-740107411814644896.16%1685815.6122454902251021050.82%8524113000.7213002100
16Nicolas HagueQuebec NordiquesD2442125-3904051446223316.45%3359624.87246868011249200%01524000.8400512122
17Pontus HolmbergToronto Marlies (QUE)RW7710152583715579110520699.52%34119215.482681518100051142046.75%772135000.4200003111
18Paul PostmaToronto Marlies (QUE)D7861824-125515661319131376.59%91178222.8624671690114255000%03347000.2711111002
19Jacob LarssonToronto Marlies (QUE)D7031821-2081457511410638642.83%86155022.1513481510113223000%03253000.2711432002
20Ilya LyubushkinToronto Marlies (QUE)D78217192064301951278133332.47%71162720.86123121910002176000%02149000.2300321102
21Andrew BodnarchukToronto Marlies (QUE)D7351116-114620831046330357.94%87139119.062577140000212310100.00%12954000.2300301000
22Erik HaulaToronto Marlies (QUE)C3668141160344660123910.00%737210.35011130111801052.38%21097000.7500000100
23Lukas VejdemoToronto Marlies (QUE)C609312-6135357154134216.67%205889.810113300000733047.16%335911000.4102001110
24Michal JordanToronto Marlies (QUE)D7111112-4291536933517162.86%54109115.370111430001168010%01234000.2200021001
25Max WillmanToronto Marlies (QUE)RW5811112-134410998010329650.97%1777913.45011367000010040.32%2482010000.3112110010
26Zac DalpeToronto Marlies (QUE)C513811112036333071810.00%64128.0900003000000048.48%66510000.5311000001
27Henrik BorgstromToronto Marlies (QUE)C20549-4160323232161515.63%1130815.412245410000140042.31%28636000.5800000010
28Phil VaroneToronto Marlies (QUE)C44549-76018274983510.20%63658.300000230000110045.67%127132000.4901000100
29Hayden HodgsonToronto Marlies (QUE)RW58549-106420115516521367.69%1463811.01000051015770147.83%23612000.2801112010
30Petteri LindbohmToronto Marlies (QUE)D69066-8944092804716160%65111316.140000470002176000%02134000.1100323000
31Mathieu OlivierToronto Marlies (QUE)RW242134632522121841111.11%42068.60000020001260038.64%4431000.2900005001
32Rocco GrimaldiToronto Marlies (QUE)LW16112-320411142117.14%31237.74000112000050047.62%2182000.3201000000
33Jacob MiddletonToronto Marlies (QUE)D220220512517164360%1622410.180001700006000%0215000.1800103000
34Jesper FrodenToronto Marlies (QUE)RW9112-32011717785.88%613014.49011030000290025.00%803000.3100000000
35Jacob LucchiniToronto Marlies (QUE)C16022-300242211380%51569.7700006000000044.74%3804000.2600000000
36Mattias TedenbyToronto Marlies (QUE)RW9011-11151147230%010111.2300004000000054.55%1100000.2000001000
37Ben GleasonToronto Marlies (QUE)D11000-500224000%3696.340000400007000%12100000000000
38Olli JuoleviToronto Marlies (QUE)D2000-100021030%32211.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne19793806461026-1451612610271329274028128422779.43%12553446517.42113202315469376891524853202561950.33%8353920883370.601546392755535340
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
1Matt O'ConnorToronto Marlies (QUE)47142530.9072.942615001281379699230.700204236330
2JESPER WALLSTEDTToronto Marlies (QUE)2581410.8794.10133215091750399010.667122339110
3Marek SchwarzToronto Marlies (QUE)137600.8873.587702046406187101.0004133110
4Tomas PopperleQuebec Nordiques84220.9092.75459002123198000080001
Statistiques d’équipe totales ou en moyenne93334760.8973.3151791702862766138334368678551


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex ChiassonToronto Marlies (QUE)RW321990-10-01No208 Lbs6 ft4NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------Lien / Lien NHL
Andrew BodnarchukToronto Marlies (QUE)D341988-07-11No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Arthur KaliyevToronto Marlies (QUE)RW222001-06-26Yes210 Lbs6 ft2NoNoTrade2024-05-22NoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------Lien / Lien NHL
Ben GleasonToronto Marlies (QUE)D251998-03-25No180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Carson MeyerToronto Marlies (QUE)LW251997-08-18No184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Casey CizikasToronto Marlies (QUE)LW321991-02-27No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien / Lien NHL
Eric O'DellToronto Marlies (QUE)C331990-06-21No197 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Erik HaulaToronto Marlies (QUE)C321991-03-23No191 Lbs5 ft11NoNoTrade2024-05-22NoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Gaetan HaasToronto Marlies (QUE)LW311992-01-31No181 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Hayden HodgsonToronto Marlies (QUE)RW271996-03-02No208 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien / Lien NHL
Henrik BorgstromToronto Marlies (QUE)C251997-08-06No199 Lbs6 ft3NoNoTrade2023-12-22NoNo3Pro & Farm650,000$0$0$No650,000$650,000$-------NoNo-------Lien / Lien NHL
Ilya LyubushkinToronto Marlies (QUE)D291994-04-06No200 Lbs6 ft2NoNoTrade2024-06-19NoNo4Pro & Farm950,000$0$0$No950,000$950,000$950,000$------NoNoNo------Lien / Lien NHL
J.C. BeaudinToronto Marlies (QUE)C261997-03-25No196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien / Lien NHL
JESPER WALLSTEDT (contrat à 1 volet)Toronto Marlies (QUE)G202002-11-14Yes214 Lbs6 ft3NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Jacob LarssonToronto Marlies (QUE)D261997-04-29No193 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien / Lien NHL
Jacob LucchiniToronto Marlies (QUE)C281995-05-09No180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jacob MiddletonToronto Marlies (QUE)D271996-01-02No219 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien / Lien NHL
Jesper FrodenToronto Marlies (QUE)RW281994-09-21No179 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jordan GrossToronto Marlies (QUE)D281995-05-09No190 Lbs5 ft10NoNoN/ANoNo3Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien / Lien NHL
Lukas VejdemoToronto Marlies (QUE)C271996-01-25No198 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------Lien / Lien NHL
Marek Schwarz (contrat à 1 volet)Toronto Marlies (QUE)G371986-01-28No189 Lbs5 ft11NoNoTrade2024-05-24NoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Marian StudenicToronto Marlies (QUE)RW241998-10-28Yes181 Lbs6 ft1NoNoTrade2024-06-18NoNo2Pro & Farm600,000$0$0$No600,000$--------No--------Lien / Lien NHL
Mathieu OlivierToronto Marlies (QUE)RW261997-02-11No217 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien / Lien NHL
Matt O'ConnorToronto Marlies (QUE)G311992-02-14No205 Lbs6 ft6NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------Lien
Matthew PecaToronto Marlies (QUE)C301993-04-27No181 Lbs5 ft8NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Mattias TedenbyToronto Marlies (QUE)RW331990-02-21No175 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Max WillmanToronto Marlies (QUE)RW281995-02-13No184 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien / Lien NHL
Michal JordanToronto Marlies (QUE)D321990-07-17No207 Lbs6 ft1NoNoN/ANoNo1Pro & Farm550,000$0$0$No------------------Lien
Olli JuoleviToronto Marlies (QUE)D251998-05-05No182 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Paul PostmaToronto Marlies (QUE)D341989-02-22No195 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Petteri LindbohmToronto Marlies (QUE)D291993-09-23No198 Lbs6 ft3NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Phil Kessel (contrat à 1 volet)Toronto Marlies (QUE)LW351987-10-02No208 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Phil VaroneToronto Marlies (QUE)C321990-12-04No169 Lbs5 ft10NoNoN/ANoNo2Pro & Farm650,000$0$0$No650,000$--------No--------Lien
Pontus HolmbergToronto Marlies (QUE)RW241999-03-09Yes202 Lbs6 ft0NoNoTrade2024-06-19NoNo32023-12-19Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Rocco GrimaldiToronto Marlies (QUE)LW301993-02-08No180 Lbs5 ft6NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Zac DalpeToronto Marlies (QUE)C331989-11-01No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3628.89194 Lbs6 ft11.72684,722$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gaetan HaasEric O'DellPhil Kessel40032
2Arthur KaliyevErik HaulaMarian Studenic40032
3Pontus HolmbergMatthew PecaAlex Chiasson15032
4Arthur KaliyevHenrik BorgstromMarian Studenic5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinJacob Larsson40032
2Michal JordanPaul Postma40032
3Ben GleasonMattias Tedenby20032
4Ilya LyubushkinPaul Postma0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marian StudenicEric O'DellArthur Kaliyev60122
2Casey CizikasMax WillmanAlex Chiasson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Phil KesselGaetan Haas60122
2Jacob LarssonIlya Lyubushkin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Erik HaulaArthur Kaliyev60122
2Eric O'DellAlex Chiasson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul PostmaMichal Jordan60122
2Jacob LarssonIlya Lyubushkin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Erik Haula60122Michal JordanPaul Postma60122
2Eric O'Dell40122Jacob LarssonIlya Lyubushkin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eric O'DellArthur Kaliyev60122
2Erik HaulaMarian Studenic40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal JordanIlya Lyubushkin60122
2Jacob LarssonPaul Postma40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arthur KaliyevEric O'DellMarian StudenicIlya LyubushkinJacob Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arthur KaliyevEric O'DellMarian StudenicIlya LyubushkinJacob Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Chiasson, Gaetan Haas, Eric O'DellHenrik Borgstrom, Erik HaulaMarian Studenic
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ilya Lyubushkin, Paul Postma, Jacob LarssonMichal JordanPaul Postma, Ilya Lyubushkin
Tirs de pénalité
Phil Kessel, Marian Studenic, Arthur Kaliyev, Pontus Holmberg, Gaetan Haas
Gardien
#1 : Marek Schwarz, #2 : Matt O'Connor
Lignes d’attaque personnalisées en prolongation
Eric O'Dell, Gaetan Haas, Alex Chiasson, Erik Haula, Arthur Kaliyev, Matthew Peca, Matthew Peca, Marian Studenic, Pontus Holmberg, Casey Cizikas, Henrik Borgstrom
Lignes de défense personnalisées en prolongation
Ben Gleason, Michal Jordan, Ilya Lyubushkin, Jacob Larsson, Paul Postma


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
1Amarillo Gorillas21100000743110000006151010000013-230.5007132000468277197573783987174571833569333.33%9188.89%0929183050.77%886189046.88%571112850.62%159185016947601438701
2Bakersfield Condors2010000157-21010000045-11000000112-110.16759140046827719617378398717468304758800.00%6266.67%0929183050.77%886189046.88%571112850.62%159185016947601438701
3Bridgeport Islanders40301000912-32020000036-32010100066020.1679142300468277191147378398717414042661041417.14%19573.68%0929183050.77%886189046.88%571112850.62%159185016947601438701
4Cleveland Monsters2110000056-1110000004311010000013-230.500591400468277195573783987174632823397228.57%9188.89%0929183050.77%886189046.88%571112850.62%159185016947601438701
5Coachella Valley Firebirds21000100871110000003121000010056-140.6678152300468277196473783987174562547478450.00%16193.75%0929183050.77%886189046.88%571112850.62%159185016947601438701
6Colorado Eagles2010100089-11010000035-21000100054120.3338142210468277197373783987174712546543133.33%13192.31%1929183050.77%886189046.88%571112850.62%159185016947601438701
7Grand Rapids Griffins20200000610-41010000046-21010000024-200.0006111700468277196273783987174702727469111.11%11372.73%2929183050.77%886189046.88%571112850.62%159185016947601438701
8Greenville Swamp Rabbits412000011112-12020000015-421000001107340.33311203100468277191297378398717411439649814428.57%17382.35%0929183050.77%886189046.88%571112850.62%159185016947601438701
9Henderson Silver Knights2020000008-81010000004-41010000004-400.0000000046827719467378398717451112536400.00%10280.00%0929183050.77%886189046.88%571112850.62%159185016947601438701
10Iowa Heartlanders403010001015-52010100067-12020000048-420.1671015250046827719127737839871741234369779111.11%22481.82%1929183050.77%886189046.88%571112850.62%159185016947601438701
11Lehigh Valley Phantoms624000001321-831200000610-431200000711-460.333132235104682771918173783987174200645314719315.79%24579.17%0929183050.77%886189046.88%571112850.62%159185016947601438701
12Newfoundland Growlers623010002322130201000810-2321000001512380.444234063004682771920073783987174182798215022731.82%36780.56%0929183050.77%886189046.88%571112850.62%159185016947601438701
13Norfolk Admirals411020001192200020006422110000055070.58311172800468277191397378398717410935739126415.38%14192.86%1929183050.77%886189046.88%571112850.62%159185016947601438701
14Orlando Solar Bears4210100014122210010008622110000066080.667142438004682771914073783987174130474510817635.29%16381.25%1929183050.77%886189046.88%571112850.62%159185016947601438701
15PeeDee Pride211000006511010000034-11100000031230.5006121800468277197273783987174591921549444.44%80100.00%0929183050.77%886189046.88%571112850.62%159185016947601438701
16Providence Bruins623000011819-131100001118331200000711-470.3891826440046827719201737839871742276810416519526.32%32778.13%0929183050.77%886189046.88%571112850.62%159185016947601438701
17Reading Royals21100000660110000003121010000035-230.50061016104682771960737839871744513605611327.27%10370.00%0929183050.77%886189046.88%571112850.62%159185016947601438701
18Rochester Americans606000001126-1530300000612-630300000514-900.000111930004682771917573783987174223631321336116.67%361072.22%0929183050.77%886189046.88%571112850.62%159185016947601438701
19Rockford IceHogs2020000059-41010000013-21010000046-200.000591410468277197473783987174642957516116.67%11372.73%0929183050.77%886189046.88%571112850.62%159185016947601438701
20Springfield Thunderbirds2110000078-11010000015-41100000063330.5007142100468277196173783987174722859476116.67%17664.71%0929183050.77%886189046.88%571112850.62%159185016947601438701
21Trois Rivieres Lions604000201826-830200010810-2302000101016-640.222182644004682771919973783987174208718312927414.81%24579.17%1929183050.77%886189046.88%571112850.62%159185016947601438701
22Utica Comets40102010131212010100056-12000101086260.500132134004682771911573783987174134509011711327.27%16381.25%0929183050.77%886189046.88%571112850.62%159185016947601438701
23Wheeling Nailers2110000037-4110000002111010000016-530.50035800468277196173783987174732031474250.00%13653.85%0929183050.77%886189046.88%571112850.62%159185016947601438701
Total78174509133217272-553982306011102123-213992203122115149-34790.33821736558240468277192484737839871742539874133719102686122.76%3898278.92%7929183050.77%886189046.88%571112850.62%159185016947601438701
_Since Last GM Reset78174509133217272-553982306011102123-213992203122115149-34790.33821736558240468277192484737839871742539874133719102686122.76%3898278.92%7929183050.77%886189046.88%571112850.62%159185016947601438701
_Vs Conference54103108032151186-3527316060116884-16277150202183102-19540.3331512443951046827719172073783987174179060186113191843921.20%2565379.30%4929183050.77%886189046.88%571112850.62%159185016947601438701
_Vs Division306200102183114-3115210010113950-1115410000104464-20250.278831332161046827719956737839871741040345454724932021.51%1523477.63%1929183050.77%886189046.88%571112850.62%159185016947601438701

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7879L3217365582248425398741337191040
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7817459133217272
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
398236011102123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
399223122115149
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2686122.76%3898278.92%7
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
7378398717446827719
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
929183050.77%886189046.88%571112850.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
159185016947601438701


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
210Reading Royals1Toronto Marlies3BWSommaire du match
420Toronto Marlies0Henderson Silver Knights4ALSommaire du match
528Toronto Marlies4Rockford IceHogs6ALSommaire du match
848Grand Rapids Griffins6Toronto Marlies4BLSommaire du match
1158Toronto Marlies2Iowa Heartlanders4ALSommaire du match
1372Utica Comets2Toronto Marlies3BWXSommaire du match
1680Orlando Solar Bears2Toronto Marlies3BWXSommaire du match
1891Toronto Marlies1Orlando Solar Bears2ALSommaire du match
19102Providence Bruins2Toronto Marlies7BWSommaire du match
21111Toronto Marlies2Lehigh Valley Phantoms6ALSommaire du match
23125Toronto Marlies5Newfoundland Growlers2AWSommaire du match
25133Rochester Americans5Toronto Marlies3BLSommaire du match
27146Toronto Marlies5Trois Rivieres Lions4AWXXSommaire du match
29159Toronto Marlies5Providence Bruins2AWSommaire du match
31170Trois Rivieres Lions7Toronto Marlies5BLSommaire du match
33183Lehigh Valley Phantoms3Toronto Marlies4BWSommaire du match
35196Toronto Marlies5Utica Comets4AWXSommaire du match
37208Norfolk Admirals1Toronto Marlies2BWXSommaire du match
40225Toronto Marlies3Reading Royals5ALSommaire du match
42240Toronto Marlies6Springfield Thunderbirds3AWSommaire du match
46251Cleveland Monsters3Toronto Marlies4BWSommaire du match
48257Bakersfield Condors5Toronto Marlies4BLSommaire du match
50266Toronto Marlies1Amarillo Gorillas3ALSommaire du match
53280Colorado Eagles5Toronto Marlies3BLSommaire du match
57290Newfoundland Growlers3Toronto Marlies1BLSommaire du match
60310Toronto Marlies0Rochester Americans4ALSommaire du match
61318Toronto Marlies1Providence Bruins6ALSommaire du match
64325Toronto Marlies2Rochester Americans3ALSommaire du match
66341Toronto Marlies7Newfoundland Growlers4AWSommaire du match
68354Providence Bruins4Toronto Marlies3BLSommaire du match
71371Newfoundland Growlers3Toronto Marlies2BLSommaire du match
72373Rochester Americans3Toronto Marlies1BLSommaire du match
75394PeeDee Pride4Toronto Marlies3BLSommaire du match
77405Toronto Marlies1Wheeling Nailers6ALSommaire du match
80417Rockford IceHogs3Toronto Marlies1BLSommaire du match
82432Toronto Marlies3PeeDee Pride1AWSommaire du match
84441Toronto Marlies2Grand Rapids Griffins4ALSommaire du match
86452Toronto Marlies5Colorado Eagles4AWXSommaire du match
87461Amarillo Gorillas1Toronto Marlies6BWSommaire du match
90473Trois Rivieres Lions1Toronto Marlies2BWXXSommaire du match
93485Toronto Marlies1Trois Rivieres Lions3ALSommaire du match
96497Springfield Thunderbirds5Toronto Marlies1BLSommaire du match
98505Toronto Marlies1Cleveland Monsters3ALSommaire du match
100521Wheeling Nailers1Toronto Marlies2BWSommaire du match
104540Toronto Marlies5Coachella Valley Firebirds6ALXSommaire du match
106551Toronto Marlies1Bakersfield Condors2ALXXSommaire du match
109561Coachella Valley Firebirds1Toronto Marlies3BWSommaire du match
112573Toronto Marlies3Greenville Swamp Rabbits4ALXXSommaire du match
114585Bridgeport Islanders2Toronto Marlies1BLSommaire du match
117598Toronto Marlies2Bridgeport Islanders3ALSommaire du match
119612Toronto Marlies1Norfolk Admirals2ALSommaire du match
121621Iowa Heartlanders4Toronto Marlies2BLSommaire du match
125634Greenville Swamp Rabbits3Toronto Marlies1BLSommaire du match
127648Henderson Silver Knights4Toronto Marlies0BLSommaire du match
129660Lehigh Valley Phantoms4Toronto Marlies2BLSommaire du match
131672Toronto Marlies1Lehigh Valley Phantoms3ALSommaire du match
133682Toronto Marlies3Rochester Americans7ALSommaire du match
135694Rochester Americans4Toronto Marlies2BLSommaire du match
138706Norfolk Admirals3Toronto Marlies4BWXSommaire du match
141717Toronto Marlies5Orlando Solar Bears4AWSommaire du match
143732Bridgeport Islanders4Toronto Marlies2BLSommaire du match
145743Toronto Marlies2Iowa Heartlanders4ALSommaire du match
147756Utica Comets4Toronto Marlies2BLSommaire du match
149767Toronto Marlies7Greenville Swamp Rabbits3AWSommaire du match
151770Greenville Swamp Rabbits2Toronto Marlies0BLSommaire du match
153781Toronto Marlies3Utica Comets2AWXXSommaire du match
155794Iowa Heartlanders3Toronto Marlies4BWXSommaire du match
157805Toronto Marlies4Bridgeport Islanders3AWXSommaire du match
159820Orlando Solar Bears4Toronto Marlies5BWSommaire du match
162831Toronto Marlies4Norfolk Admirals3AWSommaire du match
167858Toronto Marlies1Providence Bruins3ALSommaire du match
168864Providence Bruins2Toronto Marlies1BLXXSommaire du match
171881Newfoundland Growlers4Toronto Marlies5BWXSommaire du match
172887Toronto Marlies3Newfoundland Growlers6ALSommaire du match
176903Toronto Marlies4Lehigh Valley Phantoms2AWSommaire du match
177912Lehigh Valley Phantoms3Toronto Marlies0BLSommaire du match
179923Trois Rivieres Lions2Toronto Marlies1BLSommaire du match
180935Toronto Marlies4Trois Rivieres Lions9ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance59,62829,504
Assistance PCT76.45%75.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2285 - 76.18% 64,860$2,529,540$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,099,723$ 2,940,000$ 2,940,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,099,723$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,243$ 0$




Toronto Marlies Leaders statistiques des joueurs (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

Toronto 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

Toronto 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

Toronto Marlies Leaders statistiques des joueurs (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

Toronto 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