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Centre de jeu
MapleLeafs
38-31-5, 81pts
3
FINAL
4 Predators
47-21-7, 101pts
Team Stats
OTW1StreakW4
19-15-3Home Record24-9-5
19-16-2Away Record23-12-2
8-1-1Last 10 Games7-3-0
2.99Goals Per Game3.80
3.09Goals Against Per Game2.97
16.07%Power Play Percentage21.71%
82.40%Penalty Kill Percentage82.14%
Penguins
36-34-5, 77pts
4
FINAL
5 Predators
47-21-7, 101pts
Team Stats
L2StreakW4
18-17-2Home Record24-9-5
18-17-3Away Record23-12-2
4-5-1Last 10 Games7-3-0
3.20Goals Per Game3.80
3.03Goals Against Per Game2.97
18.37%Power Play Percentage21.71%
81.95%Penalty Kill Percentage82.14%
Predators
47-21-7, 101pts
Jour 163
Jets
29-40-5, 63pts
Stats Équipe
W4SéquenceL1
24-9-5Fiche domicile15-19-3
23-12-2Fiche visiteur14-21-2
7-3-010 derniers matchs2-7-1
3.80Buts par match 3.38
2.97Buts contre par match 4.04
21.71%Pourcentage en avantage numérique19.05%
82.14%Pourcentage en désavantage numérique77.36%
Predators
47-21-7, 101pts
Jour 165
Wild
44-24-7, 95pts
Stats Équipe
W4SéquenceW3
24-9-5Fiche domicile23-10-5
23-12-2Fiche visiteur21-14-2
7-3-010 derniers matchs6-3-1
3.80Buts par match 3.88
2.97Buts contre par match 3.32
21.71%Pourcentage en avantage numérique22.37%
82.14%Pourcentage en désavantage numérique80.83%
Predators
47-21-7, 101pts
Jour 169
Penguins
36-34-5, 77pts
Stats Équipe
W4SéquenceL2
24-9-5Fiche domicile18-17-2
23-12-2Fiche visiteur18-17-3
7-3-010 derniers matchs4-5-1
3.80Buts par match 3.20
2.97Buts contre par match 3.03
21.71%Pourcentage en avantage numérique18.37%
82.14%Pourcentage en désavantage numérique81.95%
Meneurs d'équipe
Chris KreiderButs
Chris Kreider
51
Ryan O'ReillyPasses
Ryan O'Reilly
74
Ryan O'ReillyPoints
Ryan O'Reilly
113
Esa LindellPlus/Moins
Esa Lindell
35
Adin HillVictoires
Adin Hill
34
Adin HillPourcentage d’arrêts
Adin Hill
0.903

Stats Équipe
Buts pour
285
3.80 GFG
Tirs pour
2726
36.35 Avg
Pourcentage en avantage numérique
21.7%
76 GF
Début de zone offensive
43.8%
Buts contre
223
2.97 GAA
Tirs contre
2180
29.07 Avg
Pourcentage en désavantage numérique
82.1%
70 GA
Début de la zone défensive
37.9%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralJean-Olivier Guillemette
EntraîneurBruce Cassidy
DivisionCentral
ConférenceWestern
CapitaineChris Kreider
Assistant #1Tomas Hertl
Assistant #2Tom Wilson
Uniformes
Informations de l’aréna
NomDiet Pepsi Arena
Capacité25,000
Assistance22,917
Billets de saison10,000
Information formation
Équipe Pro23
Équipe Mineure26
Limite contact 49 / 50
Espoirs5
Plafond salarial
Cap Salarial de la Saison estimé82,929,122$
Plafond salarial disponible2,070,878$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23
Finance
Revenu annuel à ce jour70,856,085$
Dépenses annuelles à ce jour81,087,999$
Revenus de la saison estimés5,593,901$
Dépenses de la saison estimées7,841,100$
Compte bancaire actuel114,319,086$
Compte bancaire projeté111,767,167$
Historique d'équipe
Saison actuelle47-21-7 (101PTS)
Historique976-515-133 (0.601%)
Apparitions séries éliminatoires 18
Historique séries éliminatoires (W-L)91-103
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
1Chris Kreider (C)X100.0068608488848699837276898265908825698003315,500,000$
2Ryan O'ReillyX100.0047518689678799808983768477908925827803337,500,000$
3Tage ThompsonX100.0066627883838592777871837782788255637602731$
4Tomas Hertl (A)X100.0066558284758980749372768754868835567503137,500,000$
5Ryan HartmanX100.0064487186608294708267738040848340747203034,750,000$
6Tom Wilson (A)X100.0099715478798594644059708540848540557203025,500,000$
7Tommy NovakX100.0042448887537992717771717390787955737102733,000,000$
8Anthony DuclairX100.0056478186588193694060777560828245627002915,000,000$
9Drew O'ConnorX100.0056518579678197624058678740767960736902622,000,000$
10Calle JarnkrokX100.0065468382568079628457667962908525736803343,500,000$
11Sean KuralyX100.0099547777737785578352627740868235636803122,000,000$
12Garnet HathawayX100.0099635875717599544050578240908325676703312,750,000$
13Artem ZubX100.0087528179698590614064598540828445737502923,500,000$
14Esa LindellX100.0061558777758499594061589040848440737403034,000,000$
15Neal PionkX100.0099487583568499634068587540828345647402935,500,000$
16Jan RuttaX100.0063527977698290584057598340928720747203412,750,000$
17Jared SpurgeonX100.0061388883408954584066509140949215537103526,750,000$
18Louie BelpedioX100.0071479083587251624054718340807650736902822,000,000$
Rayé
1Ridly GreigX100.008250728253799260795565804068748019670222925,000$
2William BorgenX100.0096607477697999584062557340808050197102822,500,000$
3Nick PerbixX100.0064528777687896584063537940767760207002622,600,000$
Équipe Mineure
1Justin DanforthX100.007641838347799260845862764086833521670312900,000$
2Alexey ToropchenkoX100.0087608375847699564047647540747565246602521,975,000$
3Alex LimogesX100.0074708480657161594056627040787555246302731,000,000$
4Alex SteevesX100.004844828159746461405864604074746524620251825,000$
5Chris TierneyX100.004951827759707954925356686084774024620302950,000$
6Cole KoepkeX100.008448857765625255404961704076696024610261700,000$
7Walker DuehrX100.0079538775706870524050546040787355246002731,000,000$
8Denis MalginX100.0065418882466050584050565740786955245802711,700,000$
9Filip ChlapikX100.0094498476626050534048505040786955245602711,700,000$
10Bryce KindoppX100.007078847559605032402638624074676524500251770,000$
11Nathan NoelX100.0058596675466050307027345740786955194802711,350,000$
12Trevor vanRiemsdykX100.0047498575638191534056507940908625246803311,000,000$
13Brayden PachalX100.009955707566747752404855704074746523670251850,000$
14Jacob MoverareX100.005254857572676048404055654076726022610261925,000$
15Marc Del GaizoX100.005049797854645951405646704074696521610253975,000$
16Calle RosenX100.004846867556726746405734504084784024580301850,000$
17Anttoni Honka (R)X100.004441847747555047405341514072647024540241750,000$
18Mike HardmanX100.009961837568726249404059614074736520590251825,000$
19Chase Wheatcroft (R)X100.0049447886536050394043355540686480205102231,000,000$
20Jon-Randall Avon (R)X100.0047468489487464364031415040667085205102131,000,000$
21Zack HayesX100.008650777583555034403039504074656520560251825,000$
MOYENNE D’ÉQUIPE100.00695280806375775752555872458078504265
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
1Adin Hill100.009173749680798485788096808050778102845,000,000$
2Petr Mrazek100.009098998773747878757299888130838003222,000,000$
Rayé
Équipe Mineure
1Spencer Martin100.007953608962606359626094827145236502931,000,000$
2Keith Kinkaid100.007550608850505050505040947215235903521,250,000$
3Eric Comrie100.007650608650505050505087826645205802931,200,000$
4Erik Kallgren100.007750609150505050505040806550205802822,000,000$
5Devin Cooley (R)100.008150609350505050505050786455205802731,200,000$
MOYENNE D’ÉQUIPE100.0081616890595961605959728371413866
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy92898796898652CAN5946,000,000$


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
1Ryan O'ReillyPredatorsC7539741132960282023028720112.91%11148719.84112334812900002407255.68%199900001.52250007105
2Chris KreiderPredatorsLW755158109266551281273619727214.13%9151620.221418328727700035110147.93%24200041.44260001375
3Tage ThompsonPredatorsRW75314576266810171952648420011.74%19156520.88917266427901181356151.89%29100010.9726110565
4Anthony DuclairPredatorsLW712736632917527962335716211.59%8122617.2731316572510001153134.00%10000001.0325010434
5Tomas HertlPredatorsC52243559163515361401825612313.19%1397918.848917541831013993255.68%127700021.2001003603
6Esa LindellPredatorsD759415035120299011847657.63%112180024.0151419602690333328220.00%000000.5600000101
7Ryan HartmanPredatorsRW752029492357513998267751847.49%25142919.058101858210101132954151.09%13700000.6901001234
8Louie BelpedioPredatorsD75152843155408345123457012.20%70128717.1791120612500001103220.00%000000.6700000142
9Artem ZubPredatorsD7533841311340266716826524.41%92163821.840332380003282000.00%000000.5000000151
10Calle JarnkrokPredatorsC751023331426067192146431056.85%8128817.17224166702273392153.05%198300000.5100000203
11Tom WilsonPredatorsRW7414193351522022876140378810.00%997413.1625711780000281037.88%6600100.6800130232
12Neal PionkPredatorsD71102030515602534875293713.33%74143620.233912472541012166110.00%000000.4200000103
13Jared SpurgeonPredatorsD71720271616022639536647.37%82138019.45268532190110103100.00%000000.3900000111
14Ridly GreigPredatorsC4471825-1952011910311744625.98%1170015.9208819148000010147.59%91200000.7100000003
15Tommy NovakPredatorsLW75121123800285152411107.89%785911.462131143000001143.55%6200000.5400000012
16Jan RuttaPredatorsD7521012541549364616334.35%99119615.950003180112287000.00%000000.2000001100
17Drew O'ConnorPredatorsLW75729-34095266214010.61%86929.2300001120282351044.44%5400000.2600000000
18Justin DanforthCyclones (Nas)C23279-100742293226.90%226111.3800000000000151.49%30300000.6900000000
19Sean KuralyPredatorsC71336116030354018207.50%13575.03000000001460152.46%36600000.3400000000
20Nick PerbixPredatorsD1405552096114120.00%820514.71033539000013000.00%000000.4900000000
21Garnet HathawayPredatorsRW73314041545172782011.11%33274.4800023000001036.84%1900000.2400001000
22William BorgenPredatorsD70110120935330.00%07911.3600031400007000.00%000000.2500000000
Statistiques d’équipe totales ou en moyenne139629652482026696670175617222867877194510.32%6712269216.267815223069429525813572582451852.64%781100170.72824256474344
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
1Adin HillPredators56341460.9032.8232992315515900100.632195520201
2Petr MrazekPredators2313710.8903.17123220655900000.75042055001
Statistiques d’équipe totales ou en moyenne79472170.8992.9145324322021800100.652237575202


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Adin HillPredatorsG281996-05-11No190 Lbs6 ft4NoNoYes4Pro Only5,000,000$5,000,000$423,729$No5,000,000$5,000,000$5,000,000$
UFA
Lien / Lien NHL
Anthony DuclairPredatorsLW291995-08-26No197 Lbs5 ft11NoNoYes1Pro Only5,000,000$5,000,000$423,729$No
UFA
Lien / Lien NHL
Artem ZubPredatorsD291995-10-03No204 Lbs6 ft3NoNoYes2Pro & Farm3,500,000$3,500,000$296,610$No3,500,000$
UFA
Lien / Lien NHL
Calle JarnkrokPredatorsC331991-09-25No190 Lbs6 ft0YesNoYes4Pro & Farm3,500,000$3,500,000$296,610$No3,500,000$3,500,000$3,500,000$
UFA
Lien / Lien NHL
Chris KreiderPredatorsLW331991-04-30No233 Lbs6 ft3NoNoYes1Pro Only5,500,000$5,500,000$466,102$No
UFA
Lien / Lien NHL
Drew O'ConnorPredatorsLW261998-06-09No200 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$2,000,000$169,492$No2,000,000$
UFA
Lien / Lien NHL
Esa LindellPredatorsD301994-05-23No216 Lbs6 ft3NoNoYes3Pro & Farm4,000,000$4,000,000$338,983$No4,000,000$4,000,000$
UFA
Lien / Lien NHL
Garnet HathawayPredatorsRW331991-11-23No212 Lbs6 ft2NoNoYes1Pro & Farm2,750,000$2,750,000$233,051$No
UFA
Lien / Lien NHL
Jan RuttaPredatorsD341990-07-29No204 Lbs6 ft3NoNoYes1Pro & Farm2,750,000$2,750,000$233,051$No
UFA
Lien / Lien NHL
Jared SpurgeonPredatorsD351989-11-29No166 Lbs5 ft9NoNoYes2Pro Only6,750,000$6,750,000$572,034$No6,750,000$
UFA
Lien / Lien NHL
Louie BelpedioPredatorsD281996-05-14No197 Lbs5 ft11YesNoNo2Pro & Farm2,000,000$2,000,000$169,492$No2,000,000$
UFA
Lien / Lien NHL
Neal PionkPredatorsD291995-07-29No190 Lbs6 ft0NoNoYes3Pro Only5,500,000$5,500,000$466,102$No5,500,000$5,500,000$
UFA
Lien / Lien NHL
Nick PerbixPredatorsD261998-06-15No202 Lbs6 ft3NoNoYes2Pro & Farm2,600,000$2,600,000$220,339$No2,600,000$
UFA
Lien / Lien NHL
Petr MrazekPredatorsG321992-02-14No187 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$2,000,000$169,492$No2,000,000$
UFA
Lien / Lien NHL
Ridly GreigPredatorsC222002-08-08No184 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$78,390$No925,000$
RFA
Lien / Lien NHL
Ryan HartmanPredatorsRW301994-09-20No197 Lbs6 ft0NoNoYes3Pro & Farm4,750,000$4,750,000$402,542$No4,750,000$4,750,000$
UFA
Lien / Lien NHL
Ryan O'ReillyPredatorsC331991-02-07No207 Lbs6 ft1NoNoYes3Pro Only7,500,000$7,500,000$635,593$No7,500,000$7,500,000$
UFA
Lien / Lien NHL
Sean KuralyPredatorsC311993-01-20No215 Lbs6 ft2YesNoNo2Pro & Farm2,000,000$2,000,000$169,492$No2,000,000$
UFA
Lien / Lien NHL
Tage ThompsonPredatorsRW271997-10-30No220 Lbs6 ft6YesNoYes3Pro Only1$1$0$No8,125,000$8,125,000$
UFA
Lien / Lien NHL
Tom WilsonPredatorsRW301994-03-29No220 Lbs6 ft4NoNoYes2Pro Only5,500,000$5,500,000$466,102$No5,500,000$
UFA
Lien / Lien NHL
Tomas HertlPredatorsC311993-11-12No215 Lbs6 ft3NoNoYes3Pro Only7,500,000$7,500,000$635,593$No7,500,000$7,500,000$
UFA
Lien / Lien NHL
Tommy NovakPredatorsLW271997-04-28No179 Lbs6 ft1NoNoYes3Pro & Farm3,000,000$3,000,000$254,237$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
William BorgenPredatorsD281996-12-19No204 Lbs6 ft3NoNoYes2Pro & Farm2,500,000$2,500,000$211,864$No2,500,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.74201 Lbs6 ft22.303,761,957$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
86,525,001$78,650,000$48,875,000$8,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderRyan O'ReillyTage Thompson36023
2Anthony DuclairTomas HertlTom Wilson32023
3Tommy NovakCalle JarnkrokRyan Hartman25131
4Drew O'ConnorSean KuralyGarnet Hathaway7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubEsa Lindell37122
2Jared SpurgeonNeal Pionk33122
3Jan RuttaLouie Belpedio24122
4Louie BelpedioArtem Zub6122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderRyan O'ReillyTage Thompson55113
2Anthony DuclairTomas HertlRyan Hartman45113
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Louie BelpedioEsa Lindell55113
2Jared SpurgeonNeal Pionk45113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Calle JarnkrokRyan Hartman55140
2Tomas HertlDrew O'Connor45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubEsa Lindell55140
2Neal PionkJan Rutta45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Calle Jarnkrok55140Artem ZubEsa Lindell55140
2Sean Kuraly45140Neal PionkJan Rutta45140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris KreiderTage Thompson55122
2Calle JarnkrokTomas Hertl45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem ZubEsa Lindell55122
2Neal PionkJared Spurgeon45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris KreiderRyan O'ReillyTage ThompsonJared SpurgeonEsa Lindell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorTomas HertlTom WilsonArtem ZubEsa Lindell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan O'Reilly, Drew O'Connor, Anthony DuclairRyan Hartman, Drew O'ConnorTomas Hertl
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Neal Pionk, Louie Belpedio, Jared SpurgeonArtem ZubLouie Belpedio, Neal Pionk
Tirs de pénalité
Chris Kreider, Tage Thompson, Tomas Hertl, Ryan O'Reilly, Ryan Hartman
Gardien
#1 : Adin Hill, #2 : Petr Mrazek


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
1Avalanche42100100181442100010010822110000086250.625183452008640176567544111636267224625.00%13376.92%01641298155.05%1377258253.33%654124152.70%1087880275128
2Blackhawks320010001174110000002112100100096361.00011182900145113843435116424276811218.18%11190.91%01641298155.05%1377258253.33%654124152.70%876355203620
3BlueJacket1010000014-3000000000001010000014-300.000123000100257117043161622300.00%8187.50%01641298155.05%1377258253.33%654124152.70%2012277125
4Blues513000011922-320100001811-3312000001111030.30019304900105411775767517158414811523417.39%24579.17%11641298155.05%1377258253.33%654124152.70%11678122396632
5Bruins220000001165110000005321100000063341.000111627005330662620200686363913323.08%10280.00%01641298155.05%1377258253.33%654124152.70%453148142512
6Canadiens21000010743110000002021000001054141.00079160140229423264275118225310110.00%11372.73%01641298155.05%1377258253.33%654124152.70%523646152612
7Canucks211000006601010000024-21100000042220.50061218002310732525230582028529222.22%13284.62%01641298155.05%1377258253.33%654124152.70%442848172713
8Capitals220000001129110000004221100000070741.0001121320133507224291905293056700.00%140100.00%01641298155.05%1377258253.33%654124152.70%473247152412
9Coyotes33000000196132200000013581100000061561.0001934530058601123835390701932699555.56%16287.50%01641298155.05%1377258253.33%654124152.70%775362214021
10Devils220000001138110000006241100000051441.0001121320062308036202403814164713430.77%8187.50%01641298155.05%1377258253.33%654124152.70%483343152714
11Ducks3110000168-21000000123-12110000045-130.500612180022209928343379935406111218.18%19478.95%01641298155.05%1377258253.33%654124152.70%694776233818
12Flames33000000164121100000052322000000112961.00016294500745012547393907125285514321.43%14285.71%11641298155.05%1377258253.33%654124152.70%856057203719
13Flyers20100010660100000104311010000023-120.50061016001043862523338521322389111.11%10370.00%01641298155.05%1377258253.33%654124152.70%513647152513
14GoldenKnights312000009901010000034-12110000065120.33391827003330782029290832535651516.67%150100.00%01641298155.05%1377258253.33%654124152.70%694674233617
15Hurricanes2110000037-4110000002111010000016-520.50035800111054161919047122036800.00%10190.00%01641298155.05%1377258253.33%654124152.70%432852162411
16Islanders200011005501000010012-11000100043130.7505813002021682524172461016368225.00%8275.00%01641298155.05%1377258253.33%654124152.70%533843142512
17Jets320010001239210010006151100000062461.00012223401542112642414128517346117423.53%15193.33%01641298155.05%1377258253.33%654124152.70%845960213620
18Kings330000001064220000006421100000042261.0001016260043307820302808133496714428.57%22386.36%01641298155.05%1377258253.33%654124152.70%694570233918
19Lightning20001010752100000104311000100032141.00079160014026427249855213749600.00%15380.00%01641298155.05%1377258253.33%654124152.70%513446152713
20MapleLeafs22000000963110000004311100000053241.000916250051308227292605523204010330.00%9188.89%11641298155.05%1377258253.33%654124152.70%483446132412
21Oilers30100101812-42010000158-31000010034-120.333813210024219534302878032575817423.53%22672.73%01641298155.05%1377258253.33%654124152.70%694677233819
22Panthers2020000069-31010000035-21010000034-100.000611170011406720163107320205310330.00%10280.00%01641298155.05%1377258253.33%654124152.70%493445142411
23Penguins11000000541110000005410000000000021.0005914001130401111180231127298337.50%5180.00%01641298155.05%1377258253.33%654124152.70%2517227126
24Rangers2110000058-3110000004221010000016-520.5005914001220601919220803030455120.00%14378.57%01641298155.05%1377258253.33%654124152.70%462948142512
25RedWings220000001055110000005141100000054141.000101828002440762226280721619418225.00%6183.33%01641298155.05%1377258253.33%654124152.70%463147152613
26Sabres1010000038-51010000038-50000000000000.00036900210036205110381812184125.00%6266.67%01641298155.05%1377258253.33%654124152.70%1912278125
27Senators21100000761110000005321010000023-120.500713200032209029283305910284815426.67%9277.78%01641298155.05%1377258253.33%654124152.70%503543152513
28Sharks330000001486110000006332200000085361.0001421350054509732293609124358115426.67%9366.67%01641298155.05%1377258253.33%654124152.70%775263203922
29Stars5220010023185312000001211121000100117450.5002343660051080206656971114751589725312.00%25484.00%11641298155.05%1377258253.33%654124152.70%12485113346232
30Wild31200000712-521100000710-31010000002-220.333713200032208626322801253142549444.44%21671.43%11641298155.05%1377258253.33%654124152.70%634278223818
Total754021044332852236238219012231441172737191203210141106351010.67328549878303100889012272689090890051218066091016253507621.71%3927082.14%51641298155.05%1377258253.33%654124152.70%184812701728560959487
_Since Last GM Reset754021044332852236238219012231441172737191203210141106351010.67328549878303100889012272689090890051218066091016253507621.71%3927082.14%51641298155.05%1377258253.33%654124152.70%184812701728560959487
_Vs Conference462513023031781354323117011038775122314601200916031600.65217831549301626252416665335785412613284135399752134822.54%2394282.43%41641298155.05%1377258253.33%654124152.70%11467891041341590302
_Vs Division231080220190761412540110145423115401100453411270.58790160250013231253909289327286126952002354671092321.10%1092081.65%31641298155.05%1377258253.33%654124152.70%584408510167292151

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
75101W428549878327262180660910162503
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7540214433285223
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
382191223144117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3719123210141106
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3507621.71%3927082.14%5
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
89090890051100889012
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
1641298155.05%1377258253.33%654124152.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
184812701728560959487


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
210Predators1Rangers6ALSommaire du match
424Predators4Islanders3AWXSommaire du match
739Flames2Predators5BWSommaire du match
952Jets0Predators1BWXSommaire du match
1065Islanders2Predators1BLXSommaire du match
1275Wild6Predators2BLSommaire du match
1699Predators5Flames1AWSommaire du match
17104Predators3Oilers4ALXSommaire du match
20127Sharks3Predators6BWSommaire du match
22142Predators5Devils1AWSommaire du match
24154Oilers5Predators3BLSommaire du match
27174GoldenKnights4Predators3BLSommaire du match
29190Predators3Lightning2AWXSommaire du match
31200Bruins3Predators5BWSommaire du match
35225Predators2Avalanche3ALSommaire du match
38246Predators5Stars6ALXSommaire du match
40260Predators3Ducks2AWSommaire du match
41272Predators4Sharks2AWSommaire du match
43277Predators6Coyotes1AWSommaire du match
45297Kings2Predators3BWSommaire du match
47310Lightning3Predators4BWXXSommaire du match
49327Blues7Predators6BLXXSommaire du match
50343Predators7Blues4AWSommaire du match
52360Ducks3Predators2BLXXSommaire du match
54372Avalanche5Predators4BLXSommaire du match
56385Coyotes2Predators5BWSommaire du match
58402Blackhawks1Predators2BWSommaire du match
60415Sabres8Predators3BLSommaire du match
63438Predators4Canucks2AWSommaire du match
65448Predators6Flames1AWSommaire du match
68471Senators3Predators5BWSommaire du match
70483Canucks4Predators2BLSommaire du match
72500Devils2Predators6BWSommaire du match
74515Predators2Senators3ALSommaire du match
75519Predators5Blackhawks3AWSommaire du match
77536Predators2Flyers3ALSommaire du match
79546Predators6Bruins3AWSommaire du match
81571Stars3Predators2BLSommaire du match
83592Rangers2Predators4BWSommaire du match
85611Predators7Capitals0AWSommaire du match
86613Flyers3Predators4BWXXSommaire du match
89634Predators5RedWings4AWSommaire du match
90639Predators5Canadiens4AWXXSommaire du match
92656Predators5MapleLeafs3AWSommaire du match
94670Predators4Blackhawks3AWXSommaire du match
95672Predators1BlueJacket4ALSommaire du match
98699Predators1Hurricanes6ALSommaire du match
100716Capitals2Predators4BWSommaire du match
102729Jets1Predators5BWSommaire du match
104747Panthers5Predators3BLSommaire du match
106756Predators6Avalanche3AWSommaire du match
108770Predators5GoldenKnights2AWSommaire du match
113785Predators3Panthers4ALSommaire du match
114794Stars5Predators4BLSommaire du match
117816Coyotes3Predators8BWSommaire du match
119832Stars3Predators6BWSommaire du match
121847Predators2Blues4ALSommaire du match
122857Blues4Predators2BLSommaire du match
124869RedWings1Predators5BWSommaire du match
126883Canadiens0Predators2BWSommaire du match
128902Predators1GoldenKnights3ALSommaire du match
131917Predators6Stars1AWSommaire du match
133934Kings2Predators3BWSommaire du match
135950Avalanche3Predators6BWSommaire du match
137964Oilers3Predators2BLXXSommaire du match
138975Predators2Blues3ALSommaire du match
141998Predators6Jets2AWSommaire du match
1431012Predators0Wild2ALSommaire du match
1451025Wild4Predators5BWSommaire du match
1491054Hurricanes1Predators2BWSommaire du match
1521072Predators1Ducks3ALSommaire du match
1541086Predators4Kings2AWSommaire du match
1561108Predators4Sharks3AWSommaire du match
1591127MapleLeafs3Predators4BWSommaire du match
1611145Penguins4Predators5BWSommaire du match
1631163Predators-Jets-
1651170Predators-Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691201Predators-Penguins-
1701208BlueJacket-Predators-
1731230Predators-Sabres-
1751248Canucks-Predators-
1771265Blackhawks-Predators-


Charte de profondeur
Ailier gaucheCentreAilier droit
Chris Kreider
Chris Kreider
AGE:33
SK:88
EN:86
DU:99
PH:83
PA:76
SC:89
DF:82
Tommy Novak
Tommy Novak
AGE:27
SK:87
EN:79
DU:92
PH:71
PA:71
SC:71
DF:73
Anthony Duclair
Anthony Duclair
AGE:29
SK:86
EN:81
DU:93
PH:69
PA:60
SC:77
DF:75
Drew O'Connor
Drew O'Connor
AGE:26
SK:79
EN:81
DU:97
PH:62
PA:58
SC:67
DF:87
Alex Limoges
Alex Limoges
AGE:27
SK:80
EN:71
DU:61
PH:59
PA:56
SC:62
DF:70
Alex Steeves
Alex Steeves
AGE:25
SK:81
EN:74
DU:64
PH:61
PA:58
SC:64
DF:60
Cole Koepke
Cole Koepke
AGE:26
SK:77
EN:62
DU:52
PH:55
PA:49
SC:61
DF:70
Mike Hardman
Mike Hardman
AGE:25
SK:75
EN:72
DU:62
PH:49
PA:40
SC:59
DF:61
Jon-Randall Avon (R)
Jon-Randall Avon
AGE:21
SK:89
EN:74
DU:64
PH:36
PA:31
SC:41
DF:50
Chase Wheatcroft (R)
Chase Wheatcroft
AGE:22
SK:86
EN:60
DU:50
PH:39
PA:43
SC:35
DF:55
Ryan O'Reilly
Ryan O'Reilly
AGE:33
SK:89
EN:87
DU:99
PH:80
PA:83
SC:76
DF:84
Tomas Hertl
Tomas Hertl
AGE:31
SK:84
EN:89
DU:80
PH:74
PA:72
SC:76
DF:87
Sean Kuraly
Sean Kuraly
AGE:31
SK:77
EN:77
DU:85
PH:57
PA:52
SC:62
DF:77
Calle Jarnkrok
Calle Jarnkrok
AGE:33
SK:82
EN:80
DU:79
PH:62
PA:57
SC:66
DF:79
Ridly Greig
Ridly Greig
AGE:22
SK:82
EN:79
DU:92
PH:60
PA:55
SC:65
DF:80
Justin Danforth
Justin Danforth
AGE:31
SK:83
EN:79
DU:92
PH:60
PA:58
SC:62
DF:76
Chris Tierney
Chris Tierney
AGE:30
SK:77
EN:70
DU:79
PH:54
PA:53
SC:56
DF:68
Denis Malgin
Denis Malgin
AGE:27
SK:82
EN:60
DU:50
PH:58
PA:50
SC:56
DF:57
Nathan Noel
Nathan Noel
AGE:27
SK:75
EN:60
DU:50
PH:30
PA:27
SC:34
DF:57
Tage Thompson
Tage Thompson
AGE:27
SK:83
EN:85
DU:92
PH:77
PA:71
SC:83
DF:77
Ryan Hartman
Ryan Hartman
AGE:30
SK:86
EN:82
DU:94
PH:70
PA:67
SC:73
DF:80
Tom Wilson
Tom Wilson
AGE:30
SK:78
EN:85
DU:94
PH:64
PA:59
SC:70
DF:85
Garnet Hathaway
Garnet Hathaway
AGE:33
SK:75
EN:75
DU:99
PH:54
PA:50
SC:57
DF:82
Alexey Toropchenko
Alexey Toropchenko
AGE:25
SK:75
EN:76
DU:99
PH:56
PA:47
SC:64
DF:75
Walker Duehr
Walker Duehr
AGE:27
SK:75
EN:68
DU:70
PH:52
PA:50
SC:54
DF:60
Filip Chlapik
Filip Chlapik
AGE:27
SK:76
EN:60
DU:50
PH:53
PA:48
SC:50
DF:50
Bryce Kindopp
Bryce Kindopp
AGE:25
SK:75
EN:60
DU:50
PH:32
PA:26
SC:38
DF:62

Défense #1Défense #2Gardien
Artem Zub
Artem Zub
AGE:29
SK:79
EN:85
DU:90
PH:61
PA:64
SC:59
DF:85
Neal Pionk
Neal Pionk
AGE:29
SK:83
EN:84
DU:99
PH:63
PA:68
SC:58
DF:75
Esa Lindell
Esa Lindell
AGE:30
SK:77
EN:84
DU:99
PH:59
PA:61
SC:58
DF:90
Jan Rutta
Jan Rutta
AGE:34
SK:77
EN:82
DU:90
PH:58
PA:57
SC:59
DF:83
William Borgen
William Borgen
AGE:28
SK:77
EN:79
DU:99
PH:58
PA:62
SC:55
DF:73
Jared Spurgeon
Jared Spurgeon
AGE:35
SK:83
EN:89
DU:54
PH:58
PA:66
SC:50
DF:91
Nick Perbix
Nick Perbix
AGE:26
SK:77
EN:78
DU:96
PH:58
PA:63
SC:53
DF:79
Louie Belpedio
Louie Belpedio
AGE:28
SK:83
EN:72
DU:51
PH:62
PA:54
SC:71
DF:83
Trevor vanRiemsdyk
Trevor vanRiemsdyk
AGE:33
SK:75
EN:81
DU:91
PH:53
PA:56
SC:50
DF:79
Brayden Pachal
Brayden Pachal
AGE:25
SK:75
EN:74
DU:77
PH:52
PA:48
SC:55
DF:70
Marc Del Gaizo
Marc Del Gaizo
AGE:25
SK:78
EN:64
DU:59
PH:51
PA:56
SC:46
DF:70
Jacob Moverare
Jacob Moverare
AGE:26
SK:75
EN:67
DU:60
PH:48
PA:40
SC:55
DF:65
Calle Rosen
Calle Rosen
AGE:30
SK:75
EN:72
DU:67
PH:46
PA:57
SC:34
DF:50
Zack Hayes
Zack Hayes
AGE:25
SK:75
EN:55
DU:50
PH:34
PA:30
SC:39
DF:50
Anttoni Honka (R)
Anttoni Honka
AGE:24
SK:77
EN:55
DU:50
PH:47
PA:53
SC:41
DF:51
Adin Hill
Adin Hill
AGE:28
SK:91
AG:80
RB:79
SC:84
HS:85
RT:78
DF:80
Petr Mrazek
Petr Mrazek
AGE:32
SK:90
AG:73
RB:74
SC:78
HS:78
RT:75
DF:72
Spencer Martin
Spencer Martin
AGE:29
SK:79
AG:62
RB:60
SC:63
HS:59
RT:62
DF:60
Keith Kinkaid
Keith Kinkaid
AGE:35
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Devin Cooley (R)
Devin Cooley
AGE:27
SK:81
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Erik Kallgren
Erik Kallgren
AGE:28
SK:77
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Eric Comrie
Eric Comrie
AGE:29
SK:76
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
Arvid CostmarPredators2034123
Bryce BrodzinskiPredators203484
Dru KrebsPredators2035215
Isak WaltherPredators2035179
Josh DaviesPredators2036215

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2039
2040
2041



Predators 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
1David Krejci89727558485986853072302257810.67%1201686018.808424733165814512411254.06%51.02842
2Martin St-Louis736355474829981875491615293112.11%2001601621.7610615726364222424532146.41%61.041481
3Alexander Edler102116754671326714982547106318299.13%12742327022.79103168271108701313211570.00%00.6111
4Andy McDonald15272644246883311882008190028229.36%9192597217.0146721182967121986421952.71%60.531029
5Alex Goligoski88915252267410470110531020143810.57%8451885321.21100186286965044633120.00%10.7113

Predators 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
1Ben Bishop458256145440.9022.8426527362512541283401650.650180
2Kari Lehtonen331195101320.9052.62197783116864913410351860.735147
3Adin Hill1487840110.8982.9381278639739100110.74547
4Jonathan Quick120733680.9062.646968291330732830630.62532
5Antti Raanta95582540.8943.18510816227125450610.8758

Predators 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
2017823634010652572471041171701042111112-1411917000231461351174257416673040808882266308739488332471803115418943104514.52%2764683.33%91116204854.49%1067200253.30%720140551.25%1831105918308211481750
2018823631011762242159411714001451191172411917010311059877522435357704065836824580744863837245283090019122343414.53%2102986.19%3977189351.61%1027199251.56%668129151.74%1798102616607411528779
2019823930025512532104341142000151121120141251002400132904287253399652320598510226130780939874248882699019112233716.59%2324082.76%71067205851.85%1028200951.17%647121153.43%1842108516597271464739
2020823533021472472470412012021241361162041152100023111131-2075247401648610697993265208448599322554863101319312554216.47%2314680.09%11033211248.91%1083212650.94%638123951.49%1849110316997321426718
2021824326023442392102941201401132109105441231201212130105259323942866704091647824050756821810221964792917504626914.94%3677180.65%31602303452.80%1432287049.90%630125250.32%2133151218236061020521
20228243170176828821573412760042215910356411611013461291121795288490778080116828326790897859894224165099217044538819.43%3936383.97%31663312753.18%1463279552.34%663130051.00%2128149018376081035530
20238247280104231823979412515000101601095141221301032158130289631855687403012210091287109259589752181592953177249210621.54%3737480.16%81700327451.92%1357267350.77%712138051.59%2133151318005861015524
20248243250343430624066412212011141401122841211302320166128381063065398453701011108927910874944950227269389716734518719.29%3657380.00%21645317251.86%1435278651.51%698133252.40%2119149218276051023526
20258246210444330020694412490232114810048412212021221521064611530054684631201191007325570870828840223367187816974519019.96%3806682.63%61514298350.75%1437275952.08%692127954.10%2108146418176121047538
202682501603274339228111412770113217611165412390214216311746126339607946010132101962714092985390023407451137186449411823.89%4547284.14%41567310850.42%1489297949.98%658133549.29%2048141619006241037523
2027823825026652842453941181202252144120244120130041314012515103284496780150999186258208169138312254682108018704258720.47%4337682.45%21655308953.58%1430275651.89%748137154.56%2086144518536041049535
203082462402217272204684124120110313595404122120111413710928107272493765040958985253307988268832349658104217914529220.35%4397882.23%31589296053.68%1485292850.72%638121352.60%2086144018496121035536
2031824825011163002178341289010031651016441201600113135116191073005458453901218394263809238318672483733107418954239422.22%4477583.22%31571305651.41%1543306550.34%707135952.02%1996136519076151051527
203282313503346283273104116150113514213574115200221114113838528350779014010410864279109559019032589704101018743907920.26%4177282.73%21582310750.92%1483297449.87%672132050.91%1995137219436121041518
20338243290124328927019412612000121561312541171701231133139-610128950679521098781082898096290910152537765106120744148821.26%4478980.09%41694329851.36%1524302050.46%682138649.21%2021140419156051024512
20348245250412531224963412313001221571282941221204003155121341083125608722401288989295501012965947233168798318094227918.72%4317482.83%81850325656.82%1485282352.60%695132152.61%2091145218306061042536
203582442600147310230804123130003215411440412113001151561164010431055386308011510190287709619449492374708101218964148821.26%4457583.15%101814329155.12%1594292754.46%734133854.86%2054143018886151035523
203682571802311392251141413160121021011694412612011011821354712439270710991001651241003136010041049106525237621152191939210526.79%4918083.71%51794323355.49%1562296152.75%769142254.08%1986136319236071035523
2037824626042133282656341231501200162139234123110301316612640107328582910041211119162819953876959432436724108018664149222.22%4678182.66%51748311556.12%1616298254.19%701135651.70%2017139219046161026516
20387540210443328522362382190122314411727371912032101411063510128549878303100889012272689090890051218066091016253507621.71%3927082.14%51641298155.05%1377258253.33%654124152.70%184812701728560959487
Total Saison régulière163385651504352779058264684114281744624201624444529482301647816410273027283345287823834951989582610182160082588221207818361589543581843177071806916399475071440320247367277921159620.15%7690135082.44%93308225819552.96%279175400951.69%137262635152.09%401802710336601127212238511369
Séries éliminatoires
20171376000004035565100000271512725000001320-714406310300011111738501111251464751531612783825.26%21480.95%114929550.51%17735350.14%10220649.51%2851622097939244127
20182213900000695811117400000353051165000003428626691191880002027197080247247199678217288482651726.15%641576.56%326854549.17%28655151.91%19936654.37%483287450196392195
2019624000001317-43120000079-23120000068-24132235000462181051694919450671517114.29%21195.24%08015651.28%9215658.97%548464.29%137811275510852
20211266000003444-106420000015141624000001930-11123461950001976394014512311940011616125963812.70%631871.43%227549255.89%23446949.89%8417348.55%3172262728714775
202240400000918-92020000038-520200000610-409152400014411203236441494734782229.09%17664.71%18115651.92%9216655.42%396758.21%986691315025
2023624000001719-231200000910-13120000089-1417304700066519605451611785112315040512.50%30486.67%011524247.52%10822049.09%4610543.81%168116162518643
2024404000001218-62020000047-320200000811-30122234000138146027474913751818239717.95%19478.95%09818353.55%7615250.00%387650.00%11783110335628
20257340000023221321000001385413000001014-462343660008105181056636220666761452827.14%38781.58%09722044.09%12224549.80%5611150.45%168113161539045
20269540000040373422000001315-25320000027225104069109000171211267096918031970124198391025.64%431174.42%015932748.62%16035445.20%7416445.12%2081402186711355
2027624000001921-231200000981312000001013-341936551106762020588751179438714133824.24%36586.11%012122952.84%10421348.83%4410741.12%148100144457940
2030271413000008878101468000003738-1138500000514011288815924712025263684102722672668042383715951542616.88%1503179.33%1500101949.07%546102253.42%23244751.90%686472635211351175
2031514000001016-63120000089-12020000027-521019290003431750655253155486211733412.12%25484.00%210321947.03%10119152.88%407851.28%12685115396432
2032624000001627-1131200000910-131200000717-1041630460106641660575849218688912529517.24%401075.00%09921346.48%11124744.94%4810844.44%13085159477435
20332212100000068599116500000383081165000003029124681191871202819186170190198217755226294514892224.72%1281786.72%035174647.05%42789047.98%15734545.51%484320590171279133
20341055000004034662400000242224310000016124104072112000111415343088137118338113112204461328.26%511276.47%119736154.57%22638458.85%9217353.18%2421672297512764
203517107000006263-186200000322210945000003041-112062113175000212317606017721518954116919140590910.00%841186.90%435867952.72%34164952.54%15229551.53%426296416133221110
2036734000002826242200000211743120000079-26285179000101172810909296209619315826726.92%37683.78%015929254.45%13524754.66%6311455.26%174122168508442
20371147000003339-6624000001920-1523000001419-5833589100119121360129117112238610922125437410.81%811877.78%023841457.49%22343551.26%9217253.49%2611792688313866
Total Séries éliminatoires1949110300000621631-10984949000003232923196425400000298339-411826211101172236112062081846161129193320701850632118962635433687815217.31%94818480.59%153448678850.80%3561694451.28%1612319150.52%466831106422237227111352

Predators 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
1David Krejci1244067107-12102237633911.80%22242319.55525307100002352.13%00.8800
2Andy McDonald23440631033716127834838510.39%153393416.822461512377250.12%00.5200
3Alexander Edler11719698822033031091959.74%179271623.221321341211123110.00%00.6500
4Patric Hornqvist113274269-1110025312024810.89%14186316.49411154600003334.18%00.7400
5Martin St-Louis70234568019481412439.47%22155222.17714215302217246.27%10.8800

Predators 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
1Ben Bishop82422890.9052.9848812524225400420.0000
2Johan Hedberg2414820.9152.5814440062732312300.0000
3Kari Lehtonen2281310.8863.54130540776740000.0000
4Miikka Kiprusoff137510.9262.647972035475192100.0000
5Adin Hill126510.8803.8565420423490000.0000