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Centre de jeu
Mammoth
20-43-7, 47pts
6
FINAL
5 Flyers
32-30-6, 70pts
Team Stats
SOL1StreakSOW1
12-18-5Home Record14-18-3
8-25-2Away Record18-12-3
5-3-2Last 10 Games5-4-1
2.34Goals Per Game3.21
3.89Goals Against Per Game3.51
20.63%Power Play Percentage17.56%
78.40%Penalty Kill Percentage78.13%
Flyers
32-30-6, 70pts
4
FINAL
3 Mammoth
20-43-7, 47pts
Team Stats
SOW1StreakSOL1
14-18-3Home Record12-18-5
18-12-3Away Record8-25-2
5-4-1Last 10 Games5-3-2
3.21Goals Per Game2.34
3.51Goals Against Per Game3.89
17.56%Power Play Percentage20.63%
78.13%Penalty Kill Percentage78.40%
Hurricanes
55-12-1, 111pts
Jour 148
Mammoth
20-43-7, 47pts
Stats Équipe
OTW1SéquenceSOL1
25-8-1Fiche domicile12-18-5
30-4-0Fiche visiteur8-25-2
8-1-110 derniers matchs5-3-2
4.24Buts par match 2.34
2.44Buts contre par match 3.89
21.27%Pourcentage en avantage numérique20.63%
82.69%Pourcentage en désavantage numérique78.40%
Senators
31-28-9, 71pts
Jour 151
Mammoth
20-43-7, 47pts
Stats Équipe
SOL1SéquenceSOL1
16-11-6Fiche domicile12-18-5
15-17-3Fiche visiteur8-25-2
6-2-210 derniers matchs5-3-2
2.96Buts par match 2.34
3.49Buts contre par match 3.89
21.21%Pourcentage en avantage numérique20.63%
81.22%Pourcentage en désavantage numérique78.40%
Lightning
25-37-6, 56pts
Jour 154
Mammoth
20-43-7, 47pts
Stats Équipe
L4SéquenceSOL1
13-17-4Fiche domicile12-18-5
12-20-2Fiche visiteur8-25-2
3-7-010 derniers matchs5-3-2
2.85Buts par match 2.34
3.94Buts contre par match 3.89
18.34%Pourcentage en avantage numérique20.63%
76.42%Pourcentage en désavantage numérique78.40%
Meneurs d'équipe
Sam BennettButs
Sam Bennett
23
Pavel BuchnevichPasses
Pavel Buchnevich
34
Pavel BuchnevichPoints
Pavel Buchnevich
53
Pavel BuchnevichPlus/Moins
Pavel Buchnevich
-1
Frederik AndersenVictoires
Frederik Andersen
10
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.904

Stats Équipe
Buts pour
164
2.34 GFG
Tirs pour
1703
24.33 Avg
Pourcentage en avantage numérique
20.6%
59 GF
Début de zone offensive
35.2%
Buts contre
272
3.89 GAA
Tirs contre
2587
36.96 Avg
Pourcentage en désavantage numérique
78.4%
81 GA
Début de la zone défensive
46.4%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralMichael Langlois
EntraîneurJeff Blashill
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomDelta Center
Capacité25,000
Assistance21,335
Billets de saison10,000
Information formation
Équipe Pro28
Équipe Mineure20
Limite contact 48 / 50
Espoirs53
Plafond salarial
Cap Salarial de la Saison estimé76,705,782$
Plafond salarial disponible13,294,218$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial28
Finance
Revenu annuel à ce jour62,310,415$
Dépenses annuelles à ce jour62,279,940$
Revenus de la saison estimés10,681,785$
Dépenses de la saison estimées16,425,849$
Compte bancaire actuel214,166,102$
Compte bancaire projeté208,038,508$
Historique d'équipe
Saison actuelle20-43-7 (47PTS)
Historique743-841-126 (0.435%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)33-40
Stanley Cup0


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
1Sam BennettX98.0085586687608495738168776740808250227202935,000,000$
2Adam FantilliX97.007250868565849972766381736964749062720212925,000$
3Anthony BeauvillierX99.0080428782497698584050657275787755146602814,000,000$
4Lawson CrouseX100.0096638075767798544046627040787855176502857,000,000$
5Zach BensonX100.0051397484427994604060617340627195126402021$
6Collin Graf (R)X100.005448858060816659405562814068758027640232750,000$
7Jayson MegnaX100.006048848056746457706054706592832016630351600,000$
8Christian FischerX100.0087588575717375514051526440787655166102811,700,000$
9Daniel SprongX100.0065478978597564554054556273787755116102813,000,000$
10Cole SchwindtX100.0063519075677072538654526340707075226002411,350,000$
11Dalibor Dvorsky (R)X100.007152838666706055405258504062669517590203925,000$
12Adam RuzickaX100.0046568475776050548252565940746765175802611,250,000$
13Ben ChiarotX100.0077607375798598534049567440908825167103413,000,000$
14Brandon CarloX99.0065618175818199514051518140808150137002939,000,000$
15Nick PerbixX100.0056548576727494574054606940767560166702712,600,000$
16Jack St. IvanyX100.008764727572775647404450794074766510670263875,000$
17Ethan BearX100.0056478081586661594068507040787255136402822,000,000$
18Jake LivingstoneX100.0062507775766358394033457040746965166102626,000,000$
Rayé
1Pavel BuchnevichX98.0054518488618795767280727263828545227403014,500,000$
2Max JonesX100.0099557675757061484043535140767360105802712,300,000$
3Martin KautX100.005548887760605054404455574074676585602611,150,000$
4Rourke ChartierX100.0060498275626050488742545740807050125602916,000,000$
5Brendan LemieuxX100.0092784075686050324020445640807050155102917,000,000$
6Topi NiemelaX100.00535584755265604040473450406867809550232925,000$
Équipe Mineure
1Emil HeinemanX100.009950847864748557405163659970727550640241925,000$
2Ville KoivunenX100.005045738347726261406657627366698550610221925,000$
3Samuel HeleniusX100.009967807574697751814557584068698040600232900,000$
4Jacob Quillan (R)X100.007053798565766648704352704068728033600232750,000$
5Noah Ostlund (R)X100.005041849345605058405165704064629036600213925,000$
6Brennan OthmannX100.008646887657715849404750694066698536590222925,000$
7William StromgrenX100.005442857662796954406146504066738535580222750,000$
8Lauri PajuniemiX100.004944817653605048404353604074676536550261950,000$
9Ryan WintertonX100.007944877553735148404750494066708536550222925,000$
10Nikita ChibrikovX100.004748837756605050405049509966638537540222925,000$
11Filip Mesar (R)X100.005444819149605043404738604064629036540213925,000$
12Tyler TullioX100.005850737554605039404336554068648026510231925,000$
13Lukas SvejkovskyX100.005548827540605034402939648070657523500241925,000$
14Jakub Stancl (R)X100.007150868166605029402830514062619523480203925,000$
15Scott Morrow (R)X100.004553908070765364406959754068728039660232750,000$
16Luca Cagnoni (R)X100.005042819345686363406661534064669036620213925,000$
17Victor SoderstromX100.0053437977525550494050485240706375365502411,650,000$
MOYENNE D’ÉQUIPE99.78665181796170675248515463487271702561
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
1Frederik Andersen99.008857609978797976758187948715127803615,000,000$
2Jonas Johansson99.007853609971717272716947827745217203014,000,000$
Rayé
1Michael DiPietro100.008269748667726872697295747365187102625,000,000$
2Adam Scheel100.00765060895658545554535374666520610261750,000$
Équipe Mineure
1Sergei Murashov (R)100.00755060836359636061609964629034620213925,000$
2Henrik Tikkanen100.00785760995050505050508772617054590251950,000$
3Ruslan Khazheyev (R)100.00755060935050505050504064579020570213925,000$
MOYENNE D’ÉQUIPE99.7179556293626362626162737569632666
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill59525279877066USA5212,000,000$


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
1Pavel BuchnevichMammothRW65193453-1120221091904814810.00%15142621.94214164124221352014045.56%33800000.7423000124
2Sam BennettMammothC69232952-23955249181238631549.66%5141420.501211236225410171961149.31%180700010.7401001343
3Brandon CarloMammothD69202747-31751581108138445914.49%120162923.61121224802400000301220.00%000000.5800021152
4Jayson MegnaMammothC70122941-710022201144401108.33%20132418.916915372240004981146.11%163300000.6201000022
5Lawson CrouseMammothLW70181836-1371520575138378113.04%16145920.8567133517900032773033.03%22100100.4902001141
6Ben ChiarotMammothD7092332-3713352119711335797.96%142172724.6861218612510001265000.00%000000.3700001122
7Anthony BeauvillierMammothLW50151631-25340831091182910312.71%13115623.1348123315900062192031.13%42400000.5413000201
8Daniel SprongMammothRW63102030-13160286496347310.42%6105016.67471129182000002040.00%5000000.5700000210
9Ethan BearMammothD7022527-194407085375215.41%79104014.86123738000163010.00%000000.5200000001
10Christian FischerMammothRW7042024-2866099489625774.17%9109415.642810271670002330042.70%8900000.4400000011
11Jack St. IvanyMammothD6061824-191335174528336507.23%80119019.8421315581890001190110.00%000000.4000000302
12Nick PerbixMammothD7071623-2822039758731558.05%112138719.813912481690003214200.00%000000.3300000211
13Adam FantilliMammothLW5713720-41804677101256312.87%1175013.16134151001014831146.89%24100000.5301000301
14Zach BensonMammothLW5911920-28100319475285714.67%1377613.160110140002990023.23%9900000.5211000021
15Collin GrafMammothRW5981220-204019548134539.88%1870211.9103384910121290024.53%5300000.5700000110
16Adam RuzickaMammothC707512-427551177414569.46%12100814.412025440001623050.09%116600000.2400001100
17Jake LivingstoneMammothD70268-1584011335298186.90%78101414.490001110000112000.00%000000.1600000001
18Martin KautMammothRW49257-21602025368335.56%457211.6900008000011026.92%2600000.2400000000
19Dalibor DvorskyMammothLW66437-1112032294118349.76%34386.651013350000210040.74%5400000.3200000000
20Cole SchwindtMammothRW27336-240334405247.50%129310.85011128000010051.72%2900000.4100000010
21Rourke ChartierMammothC55235-92001253215159.52%43907.09000000000151052.81%44500000.2600000000
22Max JonesMammothLW62112-11120381573714.29%22954.770000180000460031.25%4800000.1400000000
23Topi NiemelaMammothD33101-142010821050.00%92758.3600001000042000.00%000000.0700000000
24Brendan LemieuxMammothLW7000-200200000.00%0172.430000300004000.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne1410199329528-42389040161417451985576137010.03%7722243515.9164120184551261551642268524745.92%672500110.47412025212623
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
1Frederik AndersenMammoth37102050.8913.9621204014012800200.71473515011
2Jonas JohanssonMammoth2561220.9043.49130600767950000.57172048201
3Michael DiPietroMammoth104600.8933.4452402302800210.00001010300
Statistiques d’équipe totales ou en moyenne72203870.8963.7439514224623550410.643146573512


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Adam FantilliMammothLW212004-10-12No199 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$171,489$No925,000$
RFA
Lien / Lien NHL
Adam RuzickaMammothC261999-05-11No215 Lbs6 ft4NoNoNo1Pro & Farm1,250,000$1,250,000$231,742$No
RFA
Lien / Lien NHL
Adam ScheelMammothG261999-05-01No185 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$139,045$No
RFA
Lien / Lien NHL
Anthony BeauvillierMammothLW281997-06-08No180 Lbs5 ft11NoNoYes1Pro & Farm4,000,000$4,000,000$741,573$No
UFA
Lien / Lien NHL
Ben ChiarotMammothD341991-05-09No224 Lbs6 ft3NoNoYes1Pro & Farm3,000,000$3,000,000$556,180$No
UFA
Lien / Lien NHL
Brandon CarloMammothD291996-11-26No220 Lbs6 ft5YesNoYes3Pro Only9,000,000$9,000,000$1,668,539$No9,000,000$9,000,000$
UFA
Lien / Lien NHL
Brendan LemieuxMammothLW291996-03-15No210 Lbs6 ft1NoNoYes1Pro Only7,000,000$7,000,000$1,297,753$No
UFA
Lien / Lien NHL
Christian FischerMammothRW281997-04-15No212 Lbs6 ft2NoNoNo1Pro & Farm1,700,000$1,700,000$315,169$No
UFA
Lien / Lien NHL
Cole SchwindtMammothRW242001-04-25No203 Lbs6 ft2NoNoNo1Pro & Farm1,350,000$1,350,000$250,281$No
RFA
Lien / Lien NHL
Collin GrafMammothRW232002-09-21Yes194 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$139,045$No750,000$
RFA
Lien / Lien NHL
Dalibor DvorskyMammothLW202005-06-15Yes206 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$171,489$No925,000$925,000$
RFA
Lien / Lien NHL
Daniel SprongMammothRW281997-03-17No195 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$556,180$No
UFA
Lien / Lien NHL
Ethan BearMammothD281997-06-26No197 Lbs5 ft11NoNoNo2Pro & Farm2,000,000$2,000,000$370,787$No2,000,000$
UFA
Lien / Lien NHL
Frederik AndersenMammothG361989-10-02No250 Lbs6 ft4NoNoYes1Pro Only5,000,000$5,000,000$926,966$No
UFA
Lien / Lien NHL
Jack St. IvanyMammothD261999-07-22No205 Lbs6 ft4NoNoNo3Pro & Farm875,000$875,000$162,219$No875,000$875,000$
UFA
Lien / Lien NHL
Jake LivingstoneMammothD261999-04-16No213 Lbs6 ft4NoNoYes2Pro Only6,000,000$6,000,000$1,112,360$No6,000,000$
UFA
Lien / Lien NHL
Jayson MegnaMammothC351990-02-01No190 Lbs6 ft0NoNoNo1Pro & Farm600,000$600,000$111,236$No
UFA
Lien / Lien NHL
Jonas JohanssonMammothG301995-09-19No220 Lbs6 ft5NoNoYes1Pro & Farm4,000,000$4,000,000$741,573$No
UFA
Lien / Lien NHL
Lawson CrouseMammothLW281997-06-23No214 Lbs6 ft4YesNoYes5Pro Only7,000,000$7,000,000$1,297,753$No7,000,000$7,000,000$7,000,000$7,000,000$
UFA
Lien / Lien NHL
Martin KautMammothRW261999-10-02No190 Lbs6 ft2NoNoNo1Pro & Farm1,150,000$1,150,000$213,202$No
RFA
Lien / Lien NHL
Max JonesMammothLW271998-02-17No216 Lbs6 ft3NoNoYes1Pro & Farm2,300,000$2,300,000$426,404$No
UFA
Lien / Lien NHL
Michael DiPietroMammothG261999-06-09No200 Lbs6 ft0NoNoYes2Pro Only5,000,000$5,000,000$926,966$No5,000,000$
UFA
Lien / Lien NHL
Nick PerbixMammothD271998-06-15No206 Lbs6 ft4NoNoYes1Pro & Farm2,600,000$2,600,000$482,022$No
UFA
Lien / Lien NHL
Pavel BuchnevichMammothRW301995-04-17No196 Lbs6 ft1NoNoYes1Pro & Farm4,500,000$4,500,000$834,270$No
UFA
Lien / Lien NHL
Rourke ChartierMammothC291996-04-03No201 Lbs6 ft0NoNoYes1Pro Only6,000,000$6,000,000$1,112,360$No
UFA
Lien / Lien NHL
Sam BennettMammothC291996-06-20No193 Lbs6 ft1NoNoYes3Pro Only5,000,000$5,000,000$926,966$No5,000,000$5,000,000$
UFA
Lien / Lien NHL
Topi NiemelaMammothD232002-03-25No181 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$171,489$No925,000$
RFA
Lien / Lien NHL
Zach BensonMammothLW202005-05-12No170 Lbs5 ft10YesNoNo2Pro & Farm1$1$0$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2827.21203 Lbs6 ft21.683,092,857$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
86,600,001$39,325,000$22,800,000$7,000,000$7,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam FantilliSam BennettCollin Graf40122
2Anthony BeauvillierJayson MegnaDaniel Sprong30122
3Lawson CrouseAdam RuzickaChristian Fischer20122
4Zach BensonAdam FantilliCole Schwindt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben ChiarotBrandon Carlo40122
2Jack St. IvanyNick Perbix30122
3Ethan BearJake Livingstone20122
4Ben ChiarotBrandon Carlo10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam FantilliSam BennettCollin Graf60122
2Anthony BeauvillierJayson MegnaDaniel Sprong40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben ChiarotBrandon Carlo60122
2Jack St. IvanyNick Perbix40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam FantilliSam Bennett60122
2Anthony BeauvillierLawson Crouse40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben ChiarotBrandon Carlo60122
2Jack St. IvanyNick Perbix40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Fantilli60122Ben ChiarotBrandon Carlo60122
2Sam Bennett40122Jack St. IvanyNick Perbix40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam FantilliSam Bennett60122
2Anthony BeauvillierLawson Crouse40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben ChiarotBrandon Carlo60122
2Jack St. IvanyNick Perbix40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam FantilliSam BennettCollin GrafBen ChiarotBrandon Carlo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam FantilliSam BennettCollin GrafBen ChiarotBrandon Carlo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dalibor Dvorsky, Zach Benson, Christian FischerDalibor Dvorsky, Zach BensonChristian Fischer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Bear, Jake Livingstone, Jack St. IvanyEthan BearJake Livingstone, Jack St. Ivany
Tirs de pénalité
Adam Fantilli, Sam Bennett, Anthony Beauvillier, Lawson Crouse, Zach Benson
Gardien
#1 : Jonas Johansson, #2 : Frederik Andersen


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
1Avalanche30200100813-52020000048-41000010045-110.167814221012507923262829541485215426.67%22672.73%01028213248.22%1251281144.50%522111047.03%664478243717
2Blackhawks200001106601000010023-11000001043130.750610160011317531162566819322614428.57%15286.67%01028213248.22%1251281144.50%522111047.03%452953172612
3BlueJackets1010000013-21010000013-20000000000000.0001120000101564503881013100.00%50100.00%01028213248.22%1251281144.50%522111047.03%1711298125
4Blues312000001012-22020000047-31100000065120.33310172700442087343320012126307210220.00%14378.57%01028213248.22%1251281144.50%522111047.03%634280213516
5Bruins20100100710-31000010034-11010000046-210.25071320003040491415200681518491218.33%9544.44%01028213248.22%1251281144.50%522111047.03%392554162611
6Canadiens2020000039-61010000015-41010000024-200.0003470020103415145072253153300.00%13469.23%01028213248.22%1251281144.50%522111047.03%342158162611
7Canucks31200000613-71100000032120200000311-820.333612180013206919252508829266012216.67%12375.00%01028213248.22%1251281144.50%522111047.03%644277223718
8Capitals210010001174110000007431000100043141.000111829006131743613241622316679444.44%6183.33%01028213248.22%1251281144.50%522111047.03%452945162814
9Devils2020000016-51010000002-21010000014-300.0001230010004515723075192045800.00%10370.00%01028213248.22%1251281144.50%522111047.03%412652162612
10Ducks31200000811-32110000067-11010000024-220.333812200033207823371801293336758225.00%18383.33%01028213248.22%1251281144.50%522111047.03%614079233918
11Flames4310000016115220000009542110000076160.750162945005650123335139014838458123834.78%19478.95%01028213248.22%1251281144.50%522111047.03%916196315125
12Flyers210000019901000000134-11100000065130.750918270042306620192466222243215533.33%11281.82%01028213248.22%1251281144.50%522111047.03%483351162512
13GoldenKnights421010001516-12200000075220101000811-360.750152742004641126443942115152448815320.00%18288.89%01028213248.22%1251281144.50%522111047.03%926196295225
14Hurricanes1010000004-4000000000001010000004-400.00000000000018981043131817600.00%9277.78%01028213248.22%1251281144.50%522111047.03%1610319114
15Islanders2020000018-71010000014-31010000004-400.0001120000103112910065234551700.00%70100.00%01028213248.22%1251281144.50%522111047.03%392555152511
16Jets2020000048-42020000048-40000000000000.0004812002110431414150792131502150.00%11281.82%01028213248.22%1251281144.50%522111047.03%362357152511
17Kings41300000812-4211000005412020000038-520.2508142201341083283025015857468716425.00%22481.82%01028213248.22%1251281144.50%522111047.03%7647112335022
18Lightning1010000026-4000000000001010000026-400.000246001100195770522120325120.00%10460.00%01028213248.22%1251281144.50%522111047.03%179298126
19MapleLeafs20100100410-61000010034-11010000016-510.250471100301039196131831316484250.00%80100.00%01028213248.22%1251281144.50%522111047.03%433052142411
20Oilers41300000417-132110000025-320200000212-1020.25048120022006423241701725466821417.14%32681.25%01028213248.22%1251281144.50%522111047.03%7142118325021
21Panthers2020000038-51010000024-21010000014-300.00036900111033121011066213537800.00%11190.91%01028213248.22%1251281144.50%522111047.03%342060162510
22Penguins22000000835110000004221100000041341.000814220060207125232304424124114428.57%5180.00%01028213248.22%1251281144.50%522111047.03%473247152512
23Predators30300000020-201010000005-520200000015-1500.0000000000005614202201383937661100.00%15753.33%01028213248.22%1251281144.50%522111047.03%613879243918
24Rangers2010000113-21000000112-11010000001-110.2501230000113315125584242648300.00%12283.33%01028213248.22%1251281144.50%522111047.03%392559162611
25RedWings20200000510-51010000036-31010000024-200.00057120022104918201107022214410330.00%7185.71%11028213248.22%1251281144.50%522111047.03%402654152511
26Sabres1010000028-6000000000001010000028-600.0002460010102514110048112021300.00%8450.00%01028213248.22%1251281144.50%522111047.03%1811298114
27Senators1000010034-1000000000001000010034-110.50035800120037131310135712188225.00%6266.67%01028213248.22%1251281144.50%522111047.03%2316278115
28Sharks42200000871211000005412110000033040.5008142202341087353121012624466119421.05%20290.00%01028213248.22%1251281144.50%522111047.03%8355103335224
29Stars20200000510-51010000025-31010000035-200.000510150010404513626078182239200.00%11372.73%01028213248.22%1251281144.50%522111047.03%382455142612
30Wild2110000058-3110000004311010000015-420.5005914002210501917140692323299222.22%9277.78%01028213248.22%1251281144.50%522111047.03%412654152411
Total70174302512164272-1083512180030286115-29355250221078157-79470.336164290454136347514170360155053923258776587614842865920.63%3758178.40%11028213248.22%1251281144.50%522111047.03%14419361884560897414
_Since Last GM Reset70174302512164272-1083512180030286115-29355250221078157-79470.336164290454136347514170360155053923258776587614842865920.63%3758178.40%11028213248.22%1251281144.50%522111047.03%14419361884560897414
_Vs Conference43132601210103164-61231012001005771-1420314011104693-47320.3721031842871332383121065353369337916204745328681703721.76%2384979.41%01028213248.22%1251281144.50%522111047.03%8945801144340551256
_Vs Division261114010006587-221394000003732513210010002855-27240.4626511618103212815163020523718719722873095341072422.43%1412482.98%01028213248.22%1251281144.50%522111047.03%541352684206334155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7047SOL116429045417032587765876148413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7017432512164272
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
351218030286115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35525221078157
Derniers 10 matchs
WLOTWOTL SOWSOL
431101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2865920.63%3758178.40%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
601550539236347514
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
1028213248.22%1251281144.50%522111047.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14419361884560897414


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
11Jets5Mammoth3BLSommaire du match
329Mammoth3GoldenKnights7ALSommaire du match
534Kings0Mammoth4BWSommaire du match
752Wild3Mammoth4BWSommaire du match
971Mammoth4Avalanche5ALXSommaire du match
1288Blackhawks3Mammoth2BLXSommaire du match
14106Mammoth0Islanders4ALSommaire du match
15116Mammoth1Devils4ALSommaire du match
17130Mammoth1Panthers4ALSommaire du match
20154Mammoth2Lightning6ALSommaire du match
22162Oilers4Mammoth0BLSommaire du match
24180Ducks2Mammoth4BWSommaire du match
26199Mammoth6Blues5AWSommaire du match
27201Mammoth4Blackhawks3AWXXSommaire du match
29213Kings4Mammoth1BLSommaire du match
31229Flames4Mammoth6BWSommaire du match
33244Ducks5Mammoth2BLSommaire du match
36264RedWings6Mammoth3BLSommaire du match
38282Canucks2Mammoth3BWSommaire du match
40294Panthers4Mammoth2BLSommaire du match
42311Jets3Mammoth1BLSommaire du match
45343Mammoth2Canucks8ALSommaire du match
47350Mammoth2Oilers7ALSommaire du match
48358Mammoth4Flames2AWSommaire du match
50369MapleLeafs4Mammoth3BLXSommaire du match
52385Blues5Mammoth3BLSommaire du match
54408Mammoth5GoldenKnights4AWXSommaire du match
57421Stars5Mammoth2BLSommaire du match
59436BlueJackets3Mammoth1BLSommaire du match
61459Mammoth0Predators6ALSommaire du match
62464Mammoth3Stars5ALSommaire du match
64481Mammoth2Sharks3ALSommaire du match
70504Mammoth2Canadiens4ALSommaire du match
71511Mammoth3Senators4ALXSommaire du match
73520Mammoth1MapleLeafs6ALSommaire du match
75533Penguins2Mammoth4BWSommaire du match
77547Sharks4Mammoth2BLSommaire du match
80570Mammoth3Flames4ALSommaire du match
81577Mammoth0Oilers5ALSommaire du match
83600Mammoth1Canucks3ALSommaire du match
87622Rangers2Mammoth1BLXXSommaire du match
89638Devils2Mammoth0BLSommaire du match
91652Oilers1Mammoth2BWSommaire du match
94674GoldenKnights3Mammoth4BWSommaire du match
95675Mammoth2Ducks4ALSommaire du match
97696Mammoth0Kings4ALSommaire du match
98711Mammoth1Sharks0AWSommaire du match
99714Avalanche3Mammoth1BLSommaire du match
101731Canadiens5Mammoth1BLSommaire du match
103745Islanders4Mammoth1BLSommaire du match
105762Mammoth0Hurricanes4ALSommaire du match
107783Mammoth0Rangers1ALSommaire du match
108786Mammoth2Sabres8ALSommaire du match
110798Mammoth4Bruins6ALSommaire du match
113819Sharks0Mammoth3BWSommaire du match
115833Capitals4Mammoth7BWSommaire du match
117851Mammoth3Kings4ALSommaire du match
120866Blues2Mammoth1BLSommaire du match
122886Mammoth0Predators9ALSommaire du match
124899Mammoth1Wild5ALSommaire du match
126911Flames1Mammoth3BWSommaire du match
128927Avalanche5Mammoth3BLSommaire du match
129942GoldenKnights2Mammoth3BWSommaire du match
133970Bruins4Mammoth3BLXSommaire du match
135987Predators5Mammoth0BLSommaire du match
1371001Mammoth2RedWings4ALSommaire du match
1391019Mammoth4Capitals3AWXSommaire du match
1401029Mammoth4Penguins1AWSommaire du match
1421044Mammoth6Flyers5AWSommaire du match
1451058Flyers4Mammoth3BLXXSommaire du match
1481078Hurricanes-Mammoth-
1511096Senators-Mammoth-
1541114Lightning-Mammoth-
1561129Canucks-Mammoth-
1581143Mammoth-BlueJackets-
1611170Mammoth-Jets-
1631175Mammoth-Blackhawks-
1651187Mammoth-Wild-
1681202Sabres-Mammoth-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701228Mammoth-Ducks-
1741244Ducks-Mammoth-
1761261Mammoth-Stars-


Charte de profondeur
Ailier gaucheCentreAilier droit
Adam Fantilli
Adam Fantilli
AGE:21
SK:85
EN:84
DU:99
PH:72
PA:63
SC:81
DF:73
Anthony Beauvillier
Anthony Beauvillier
AGE:28
SK:82
EN:76
DU:98
PH:58
PA:50
SC:65
DF:72
Lawson Crouse
Lawson Crouse
AGE:28
SK:75
EN:77
DU:98
PH:54
PA:46
SC:62
DF:70
Zach Benson
Zach Benson
AGE:20
SK:84
EN:79
DU:94
PH:60
PA:60
SC:61
DF:73
Emil Heineman
Emil Heineman
AGE:24
SK:78
EN:74
DU:85
PH:57
PA:51
SC:63
DF:65
Ville Koivunen
Ville Koivunen
AGE:22
SK:83
EN:72
DU:62
PH:61
PA:66
SC:57
DF:62
Noah Ostlund (R)
Noah Ostlund
AGE:21
SK:93
EN:60
DU:50
PH:58
PA:51
SC:65
DF:70
Dalibor Dvorsky (R)
Dalibor Dvorsky
AGE:20
SK:86
EN:70
DU:60
PH:55
PA:52
SC:58
DF:50
Brennan Othmann
Brennan Othmann
AGE:22
SK:76
EN:71
DU:58
PH:49
PA:47
SC:50
DF:69
Max Jones
Max Jones
AGE:27
SK:75
EN:70
DU:61
PH:48
PA:43
SC:53
DF:51
Nikita Chibrikov
Nikita Chibrikov
AGE:22
SK:77
EN:60
DU:50
PH:50
PA:50
SC:49
DF:50
Brendan Lemieux
Brendan Lemieux
AGE:29
SK:75
EN:60
DU:50
PH:32
PA:20
SC:44
DF:56
Jakub Stancl (R)
Jakub Stancl
AGE:20
SK:81
EN:60
DU:50
PH:29
PA:28
SC:30
DF:51
Sam Bennett
Sam Bennett
AGE:29
SK:87
EN:84
DU:95
PH:73
PA:68
SC:77
DF:67
Jayson Megna
Jayson Megna
AGE:35
SK:80
EN:74
DU:64
PH:57
PA:60
SC:54
DF:70
Samuel Helenius
Samuel Helenius
AGE:23
SK:75
EN:69
DU:77
PH:51
PA:45
SC:57
DF:58
Jacob Quillan (R)
Jacob Quillan
AGE:23
SK:85
EN:76
DU:66
PH:48
PA:43
SC:52
DF:70
Adam Ruzicka
Adam Ruzicka
AGE:26
SK:75
EN:60
DU:50
PH:54
PA:52
SC:56
DF:59
Rourke Chartier
Rourke Chartier
AGE:29
SK:75
EN:60
DU:50
PH:48
PA:42
SC:54
DF:57
Ryan Winterton
Ryan Winterton
AGE:22
SK:75
EN:73
DU:51
PH:48
PA:47
SC:50
DF:49
Pavel Buchnevich
Pavel Buchnevich
AGE:30
SK:88
EN:87
DU:95
PH:76
PA:80
SC:72
DF:72
Collin Graf (R)
Collin Graf
AGE:23
SK:80
EN:81
DU:66
PH:59
PA:55
SC:62
DF:81
Christian Fischer
Christian Fischer
AGE:28
SK:75
EN:73
DU:75
PH:51
PA:51
SC:52
DF:64
Daniel Sprong
Daniel Sprong
AGE:28
SK:78
EN:75
DU:64
PH:55
PA:54
SC:55
DF:62
Cole Schwindt
Cole Schwindt
AGE:24
SK:75
EN:70
DU:72
PH:53
PA:54
SC:52
DF:63
William Stromgren
William Stromgren
AGE:22
SK:76
EN:79
DU:69
PH:54
PA:61
SC:46
DF:50
Martin Kaut
Martin Kaut
AGE:26
SK:77
EN:60
DU:50
PH:54
PA:44
SC:55
DF:57
Lauri Pajuniemi
Lauri Pajuniemi
AGE:26
SK:76
EN:60
DU:50
PH:48
PA:43
SC:53
DF:60
Filip Mesar (R)
Filip Mesar
AGE:21
SK:91
EN:60
DU:50
PH:43
PA:47
SC:38
DF:60
Tyler Tullio
Tyler Tullio
AGE:23
SK:75
EN:60
DU:50
PH:39
PA:43
SC:36
DF:55
Lukas Svejkovsky
Lukas Svejkovsky
AGE:24
SK:75
EN:60
DU:50
PH:34
PA:29
SC:39
DF:64

Défense #1Défense #2Gardien
Ben Chiarot
Ben Chiarot
AGE:34
SK:75
EN:85
DU:98
PH:53
PA:49
SC:56
DF:74
Brandon Carlo
Brandon Carlo
AGE:29
SK:75
EN:81
DU:99
PH:51
PA:51
SC:51
DF:81
Jack St. Ivany
Jack St. Ivany
AGE:26
SK:75
EN:77
DU:56
PH:47
PA:44
SC:50
DF:79
Nick Perbix
Nick Perbix
AGE:27
SK:76
EN:74
DU:94
PH:57
PA:54
SC:60
DF:69
Scott Morrow (R)
Scott Morrow
AGE:23
SK:80
EN:76
DU:53
PH:64
PA:69
SC:59
DF:75
Ethan Bear
Ethan Bear
AGE:28
SK:81
EN:66
DU:61
PH:59
PA:68
SC:50
DF:70
Luca Cagnoni (R)
Luca Cagnoni
AGE:21
SK:93
EN:68
DU:63
PH:63
PA:66
SC:61
DF:53
Jake Livingstone
Jake Livingstone
AGE:26
SK:75
EN:63
DU:58
PH:39
PA:33
SC:45
DF:70
Topi Niemela
Topi Niemela
AGE:23
SK:75
EN:65
DU:60
PH:40
PA:47
SC:34
DF:50
Victor Soderstrom
Victor Soderstrom
AGE:24
SK:77
EN:55
DU:50
PH:49
PA:50
SC:48
DF:52
Frederik Andersen
Frederik Andersen
AGE:36
SK:88
AG:78
RB:79
SC:79
HS:76
RT:75
DF:81
Jonas Johansson
Jonas Johansson
AGE:30
SK:78
AG:71
RB:71
SC:72
HS:72
RT:71
DF:69
Michael DiPietro
Michael DiPietro
AGE:26
SK:82
AG:67
RB:72
SC:68
HS:72
RT:69
DF:72
Sergei Murashov (R)
Sergei Murashov
AGE:21
SK:75
AG:63
RB:59
SC:63
HS:60
RT:61
DF:60
Adam Scheel
Adam Scheel
AGE:26
SK:76
AG:56
RB:58
SC:54
HS:55
RT:54
DF:53
Henrik Tikkanen
Henrik Tikkanen
AGE:25
SK:78
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Ruslan Khazheyev (R)
Ruslan Khazheyev
AGE:21
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Espoirs
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam GajanMammoth203744
Aku KoskenvuoMammoth2035165
Alex CiernikMammoth2037108
Andrew CristallMammoth203729
Anton SilayevMammoth203815
Arseny GritsyukMammoth2033158
Axel Sandin PellikkaMammoth203716
Berkly CattonMammoth20385
Cameron AllenMammoth2037118
Carson BantleMammoth2034167
Carter GeorgeMammoth203837
Charlie ForslundMammoth2038170
Charlie StramelMammoth203740
Chase PietilaMammoth2038129
Chase WutzkeMammoth2038160
Chase YoderMammoth2034198
Cooper MooreMammoth2033166
Cullen PotterMammoth203927
Daniil ProkhorovMammoth203936
Dmitriy SimashevMammoth20379
Emil HemmingMammoth203835
Eric HjorthMammoth2033136
Henry MewsMammoth203867
Ivan RyabkinMammoth203958
Jack PhelanMammoth2037166
Jake BoltmannMammoth2034105
Jakob Ihs WozniakMammoth203967
Jared WrightMammoth2036199
Kalle VaisanenMammoth2035134
Kasper KotkansaloMammoth2031114
Kirill DolzhenkovMammoth2036132
Kirill KirsanovMammoth2035103
Leo Sahlin WalleniusMammoth203849
Ludwig PerssonMammoth2036106
Luke MisaMammoth203863
Mans GoosMammoth2039160
Marek VanackerMammoth203827
Martin HasMammoth2033196
Matthew ManiaMammoth2037155
Matthew SchaeferMammoth20392
Nikita ArtamonovMammoth203844
Oliver MooreMammoth203720
Otto SalinMammoth2036168
Petr SikoraMammoth2038191
Raoul BoilardMammoth203884
Roger McQueenMammoth20399
Sascha BoumedienneMammoth203931
Semyon VyazovoiMammoth2035196
Taylor MakarMammoth2039191
Tomas MrsicMammoth2038108
Victor EklundMammoth203915
Yegor BorikovMammoth2039129
Zayne ParekhMammoth20388

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Mammoth 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
1Mark Stone6213234637861323546921632271811.88%2771480323.8488132220681391274431734.25%111.061546
2Brad Winchester147726442068413512791971187827739.52%8442404616.2849831322897101778451548.47%40.571232
3Mike Hoffman818273354627511655031285249110.96%1091613719.736311517861052746321934.62%50.781631
4Joe Pavelski430206291497734389651485187211.00%1311049424.414510715247853855341354.45%40.95844
5Joe Thornton491132345477332053651254130410.12%841002220.413814017830822430201157.25%00.95633

Mammoth 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
1Henrik Lundqvist368194131230.8973.1721197381911191085701290.847111
2Ryan Miller1837682160.8913.5610269102610561701240.67088
3Elvis Merzlikins24372138130.8774.331297135193676190630.75036
4Simeon Varlamov1696974150.8943.57944114256152780550.78041
5Nikolai Khabibulin174559380.9033.369558543535553701340.82451

Mammoth 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
Saison régulière
2017824228030452672363141211202033137120174121160101213011614902674286950206911873278709139728822633866127219552664918.42%3104784.84%71073220548.66%972204047.65%690139649.43%171495819258461498729
2018823830030652602184241201502013135115204118150105212510322822604076670105910686260107839368482538779107819472354418.72%2343385.90%5993195150.90%999201349.63%647127550.75%169993117547751527758
201982273803293222237-1541131802242115118-341142001051107119-126222234556710046828223630645840846267191298318401893317.46%2304480.87%51013192452.65%1074213150.40%610119451.09%161785018047801568779
202082372902365251247441171102254120114641201800111131133-281251401652300589689235006328298672502866120216952266729.65%2584582.56%61001197750.63%1068209950.88%615118751.81%160683918037891578781
202182145601254161320-1594110250024095165-70414310101466155-8932161267428310575147174005625476113060923133019843696417.34%55411279.78%01190247948.00%1618345946.78%579124846.39%1666106422666581042478
202282145800136151302-151416310012177161-84418270001574141-6729151258409100565339192506416536103204948137820503764812.77%56712977.25%81210260146.52%1627361445.02%586123947.30%1696109022336581036475
202382244202158257299-4241112301033125153-2841131901125132146-1453257444701310898675241507697878352574762846169344910723.83%3467578.32%21404284049.44%1423295648.14%679137549.38%1921132520256341043515
202482195401134210330-1204192700113101170-6941102701021109160-5151210358568220818045229807507997342826824108417554056917.04%4079177.64%41321283146.66%1346307343.80%621135545.83%1755117121666401037490
202582234704242245302-5741142301120123146-234192403122122156-3466245413658100878169225007666907802970837110721293587019.55%48010977.29%41173270343.40%1447335443.14%570135742.00%1678108222306531053490
2026823631022562622566412114021121411221941151700144121134-139426247073233091808424900788803856241470685317304607816.96%3686781.79%31564293653.27%1549294252.65%696128954.00%2045142819046171033519
20278249210531331822890412610013101471093841231104003171119521163185778952401301037928860991961906234369993217324408820.00%3955885.32%21801321256.07%1556289853.69%705133552.81%2011139819216181023509
20308242230159226922940412211003501341013341201201242135128711126945572418097837925230852829817251769987318924397817.77%3816981.89%31533297551.53%1554304451.05%672130951.34%1947133319956311045514
2031822934041113273265841141802052126131-5411516021611471341392273470743330937887269309138708732584756108018684066616.26%4318779.81%51587305851.90%1509298650.54%663132050.23%1987136619706311045511
203282333703351288289-1411816021311651442141152101220123145-22862884937811201128979263508898298952701849108218763888722.42%46410178.23%31570301152.14%1486300749.42%737136753.91%1958134319716171036513
203382274003363307334-2741161702240154146841112301123153188-357830752282922011810674285809969109222715740107119534168119.47%46910777.19%31635315051.90%1383296846.60%751145551.62%1941132819876171046510
203482324201241259310-5141152201120121152-3141172000121138158-2077259457716300987680253908447529232761840104619903867318.91%4288580.14%51280289644.20%1275309241.24%574136242.14%1872126620406221036504
203582333403534264269-5412312011131501302041102202421114139-2587264466730420102837325790848863844264980590620514135312.83%4068778.57%01200296040.54%1230317838.70%516126240.89%1882126720436391043513
203682314104312302327-2541142103111145160-1541172001201157167-1077302527829100134838026780880927848282985385918173756918.40%3737879.09%41304289445.06%1293302242.79%627143343.75%1786119421246261042500
203782145603522246387-1414182602122135182-474163001400111205-9445246442688108390687237075576383730303490086117264007318.25%3628975.41%21235273945.09%1319305943.12%634145643.54%1793119921186281044502
203882145704511212365-1534172801401105184-794172903110107181-7444212373585026078696210666771771220299091082517253666116.67%3438974.05%41133248145.67%1340309843.25%608137144.35%1704113022106351030480
203970174302512164272-1083512180030286115-29355250221078157-7947164290454136347514170360155053923258776587614842865920.63%3758178.40%11028213248.22%1251281144.50%522111047.03%14419361884560897414
Total Saison régulière171059584105454947251886022-83485531739802730503326372938-30185527844302724443925513084-533150051888863140513636206179217221337507892023164921688514970571021723921544388927648141718.53%8181168379.43%76272485595548.70%283196084446.54%133022769548.03%377282450742382138822371011495
Séries éliminatoires
201740400000612-62020000047-32020000025-30691500003394021363311046438716212.50%16193.75%0369537.89%429146.15%326053.33%773520138878443
201851400000612-63120000034-12020000038-5261016010141124043373514143689110110.00%10190.00%05710057.00%6312251.64%407454.05%98471075111457
20201376000003436-2633000001718-1743000001718-11434589200071313363011811712744314117624332928.13%29679.31%015031847.17%15833647.02%9620147.76%244131303120235114
2026514000001720-32020000069-3312000001111021729461004851460484751149426411328621.43%31680.65%010619255.21%9418052.22%468156.79%12384117366230
202724159000009783141174000005136151385000004647-1309716926612038263173802322402427942252875271302620.00%1172975.21%345184953.12%47893151.34%20941050.98%569391600190312151
2030624000001825-7321000001113-230300000712-541833510005851830735951196558711734411.76%30776.67%010923147.19%12123152.38%5210649.06%13792146467537
203111650000032302532000001514163300000171611232589002010129349011910511136510913724557814.04%591377.97%121142449.76%23644253.39%8516950.30%2691852618614170
2032514000001025-1520200000310-731200000715-82101828000522148045424220855701192129.52%31583.87%011220554.63%12023950.21%5510154.46%12382149436931
Total Séries éliminatoires73334000000220243-2334161800000110111-139172200000110132-226622038460425070766921450699683692240671693215423285817.68%3236878.95%41232241451.04%1312257251.01%615120251.16%16431050370014631096536

Mammoth 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
1Joe Pavelski51315283228715720824612.60%16126924.891117286303335153.06%01.3100
2Mark Stone5034407422112813624114.11%22123424.6911152664303105133.96%21.2000
3Mike Hoffman491634501712306913511.85%596319.66516214200002244.16%01.0400
4Jack Johnson5193443116181608111.11%85132225.933811450112200.00%00.6500
5Joe Thornton51102232121311321089.26%6104220.441562400001154.59%00.6100

Mammoth 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
1Henrik Lundqvist42221630.9003.2524576413313290110.0000
2Miikka Kiprusoff137510.9192.767820036443179000.0000
3Ryan Miller123610.8624.3058600423050110.0000
4Jean-Sebastien Giguere51210.9401.5028101711749000.0000
5Jean-Sebastien Giguere40220.8912.88250001211047000.0000