Connexion

Predators
GP: 6 | W: 2 | L: 4
GF: 23 | GA: 24 | PP%: 14.29% | PK%: 79.17%
DG: Dany Potvin | Morale : 99 | Moyenne d’équipe : 77
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Centre de jeu
Kings
6-6-0, 12pts
3
FINAL
4 Predators
2-4-0, 4pts
Team Stats
L2StreakL1
5-1-0Home Record2-1-0
1-5-0Away Record0-3-0
5-4-1Last 10 Games2-3-1
3.50Goals Per Game3.83
3.83Goals Against Per Game4.00
26.67%Power Play Percentage14.29%
79.37%Penalty Kill Percentage79.17%
Predators
2-4-0, 4pts
2
FINAL
5 Kings
6-6-0, 12pts
Team Stats
L1StreakL2
2-1-0Home Record5-1-0
0-3-0Away Record1-5-0
2-3-1Last 10 Games5-4-1
3.83Goals Per Game3.50
4.00Goals Against Per Game3.83
14.29%Power Play Percentage26.67%
79.17%Penalty Kill Percentage79.37%
Meneurs d'équipe
Buts
Jaden Schwartz
4
Passes
Alexander Edler
7
Points
Alexander Edler
7
Plus/Moins
Jaden Schwartz
3
Victoires
Kari Lehtonen
2
Pourcentage d’arrêts
Jaroslav Halak
0.9

Statistiques d’équipe
Buts pour
23
3.83 GFG
Tirs pour
205
34.17 Avg
Pourcentage en avantage numérique
14.3%
4 GF
Début de zone offensive
40.8%
Buts contre
24
4.00 GAA
Tirs contre
209
34.83 Avg
Pourcentage en désavantage numérique
79.2%
5 GA
Début de la zone défensive
31.5%
Informations de l'équipe

Directeur généralDany Potvin
EntraîneurRandy Carlyle
DivisionCalder
ConférencePrince de Galles
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomBridgestone arena
Capacité18,000
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure37
Limite contact 58 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible71,791,048$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour4,381,500$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel11,791,048$
Compte bancaire projeté11,791,048$


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
1Alexander OvechkinX100.0081628082837983777383906787899025808123127,750,000$
2Mikael GranlundX100.0083308181788983828291826476655546697812434,500,000$
3Brendan GallagherX100.0085448284896787806884807271655047627712424,000,000$
4Jaden SchwartzX100.0077257988838381827481797383605048787712424,000,000$
5Andy MieleX100.0077357979767479808577766974695428787502821,500,000$
6Brad BoyesX100.0074447976727771826968846868898915487503411,400,000$
7Ryan KeslerX100.0074427680817376808073776576878818797503213,250,000$
8Jack EichelX100.007350877677778082787876677948437666740201500,000$
9Justin AbdelkaderX100.0075427779727772827478756767655924787402921,250,000$
10Mark PysykX100.0077368378758075796072678167674840787402421,350,000$
11Chris HigginsX100.0069327879728379766176775976868615787303311,500,000$
12Scott Laughton (R)X100.0082367279836686757771776273565054717202221,200,000$
13Ryan McdonaghX100.0086329588837887816286759075874934788322735,500,000$
14Alexander EdlerX100.0074398379858488866289798268896522788123025,000,000$
15John MooreX100.0077368480788780805685718666785839787912612,500,000$
16Denis GrebeshkovX100.0072358281827574755577728162907614557713311,000,000$
17Justin FaulkX100.0072277786748186875487708465634645787712423,750,000$
18Nate SchmidtX100.0074278777718077775076678567695536787502531,500,000$
Rayé
1Mike BrownX100.0084367678777270797075777062736915197403121,000,000$
Équipe Mineure
1Anton Gustafsson (R)X100.007729787480737374767873697466533344720261975,000$
2Markus Granlund (R)X100.007429757575777371787771677554464536710231925,000$
3Nicolas Kerdiles (R)X100.006843717869777479687471717058504953710222650,000$
4Blake GeoffrionX100.007037757378697476647375587569602547700281995,000$
5Joel Armia (R)X100.007432777277737270757380577253475045700231650,000$
6Mark McNeill (R)X100.006938757272726973757173697148474825690231900,000$
7Nicolas Deslauriers (R)X100.006334857664796574527473716155483650690251800,000$
8Brett Connolly (R)X100.006529836475666970706775536948474038660242725,000$
9Hunter Shinkaruk (R)X100.006139777363666965656779597246464850660222550,000$
10Lucas Wallmark (R)X100.005732807373717361766759676144445350650212550,000$
11Kasper Bjorkqvist (R)X100.006539766956736872808462465646465440650222500,000$
12Freddie Hamilton (R)X100.006730817363666563697263615646463550640241750,000$
13Riley Barber (R)X100.006632796560626168667162647144444530640221900,000$
14Josh Morrissey (R)X100.007739777673767673617766736359435948720212950,000$
15T.J Brodie (R)X100.006132748165667076457963725558513230690261750,000$
16Mattias Backman (R)X100.006831807570726470567254705655543850680241650,000$
17Andreas Englund (R)X100.006831836864726067486149785148436125660202650,000$
18Travis Dermott (R)X100.005325788559547387417958674847437044660201500,000$
19Christian Djoos (R)X100.006932836664556462436544755144443950650221500,000$
20Carl Dahlstrom (R)X100.006618846455546657356256724943444742620211600,000$
21Olli Juolevi (R)X100.005632728052425176296345644140407233600182500,000$
22Chris LawrenceX100.006926757975777069697769657165572019700291930,000$
23Alexandre Mallet (R)X100.007645707166587963566260475647462719610241500,000$
24Mark MacMillan (R)X100.005035666454626366647663515646463318610241350,000$
25Ryan Olsen (R)X100.005027746867616963565862426444443818580221600,000$
26Stanislav Galiev (R)X100.005231736361614970555659487146463220580241500,000$
27Troy Bourke (R)X100.004536626455536361606465354944443820560221500,000$
28Carsen Twarynski (R)X100.004130815453765645566656605041435720560192500,000$
29Filip Chlapik (R)X100.005732655158515356625063465041416319540191500,000$
30Adam Almquist (R)X100.006034727559666572437346654947473119640251500,000$
31Trevor Van Riemsdyk (R)X100.006032767061616373476653675753553315640251675,000$
32Josh Wesley (R)X100.005538795962666450356449683842425119600202650,000$
33Sergei Zborovskiy (R)X100.004627746062555841224426694141416420540192500,000$
34Libor Hajek (R)X100.005937685556504854294840554640406220530182500,000$
MOYENNE D’ÉQUIPE100.00683478737070717161726666635852414668
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
1Jaroslav Halak100.008282807382827279828078827721787913133,500,000$
2Kari Lehtonen100.007073797178787878827275879917777813323,500,000$
Rayé
Équipe Mineure
1Tristan Jarry100.00737474676679715858807146445049670211525,000$
2Felix Sanstrom100.00606763576463596259566841417448600191500,000$
3Linus Ullmark100.00596267535171756354707247453919620232650,000$
MOYENNE D’ÉQUIPE100.0069727364687571686772736161405469
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle87778367628750CAN5612,000,000$


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
1Alexander EdlerPredatorsD60771408139270.00%916627.73022224000121000.00%023000.8400000000
2Brendan GallagherPredatorsRW634736046136523.08%511419.091231210001190060.00%511001.2200000100
3Ryan McdonaghPredatorsD616710081111439.09%516828.16022124000124000.00%035000.8300000001
4Jaden SchwartzPredatorsLW64263008112251018.18%411719.541124210002211051.28%3960011.0200000010
5Mikael GranlundPredatorsRW6235-64063256158.00%212020.02101422000000060.00%541000.8300000010
6Chris HigginsPredatorsLW6134100231031010.00%0477.86000000000000100.00%100001.7000000000
7Jack EichelPredatorsC631422066113827.27%17712.8400001000080152.63%1900001.0400000010
8Alexander OvechkinPredatorsLW6123-60052217184.76%312721.23000222000060060.00%543000.4700000000
9Andy MielePredatorsC6123-61005821294.76%112621.12000322000280049.49%19821000.4700000000
10Denis GrebeshkovPredatorsD6033-120233010.00%67612.760000000001000.00%026000.7800000000
11Mark PysykPredatorsRW61231005513447.69%2579.61000000002900100.00%113001.0400000000
12Ryan KeslerPredatorsC6123240111053420.00%09515.90101321000000053.62%6901000.6300000000
13Brad BoyesPredatorsRW61122004385812.50%27011.760000100001000.00%111000.5700000000
14John MoorePredatorsD62020609984525.00%412621.06000020000013010.00%022000.3200000010
15Justin FaulkPredatorsD602204021010320.00%612621.03000020000013000.00%038000.3200000001
16Justin AbdelkaderPredatorsLW610120041341233.33%16510.9000000000001050.00%213000.3100000000
17Nate SchmidtPredatorsD6011000187230.00%37612.790000000002000.00%004000.2600000000
18Scott LaughtonPredatorsC61011604455620.00%0477.9400000000000052.17%2310000.4200000000
Statistiques d’équipe totales ou en moyenne1082341640480941162056813011.22%54180816.7447112022600091532251.36%3683342010.7100000142
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
1Kari LehtonenPredators52210.8813.70308001915989000.000051000
2Jaroslav HalakPredators10100.9005.00600055034000.000015000
Statistiques d’équipe totales ou en moyenne62310.8853.913680024209123000.000066000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander EdlerPredatorsD301986-01-01No215 Lbs6 ft3NoNoNo2Pro Only5,000,000$5,000,000$0$No4,500,000$
Alexander OvechkinPredatorsLW311985-01-01No233 Lbs6 ft2NoNoNo2Pro Only7,750,000$7,750,000$0$No7,750,000$
Andy MielePredatorsC281988-01-01No175 Lbs5 ft8NoNoNo2Pro Only1,500,000$1,500,000$0$No2,000,000$
Brad BoyesPredatorsRW341982-01-01No200 Lbs6 ft0NoNoNo1Pro Only1,400,000$1,400,000$0$No
Brendan GallagherPredatorsRW241992-01-01No182 Lbs5 ft9NoNoNo2Pro Only4,000,000$4,000,000$0$No4,000,000$
Chris HigginsPredatorsLW331983-01-01No205 Lbs6 ft0NoNoNo1Pro Only1,500,000$1,500,000$0$No
Denis GrebeshkovPredatorsD331983-01-01No209 Lbs6 ft0NoNoNo1Pro Only1,000,000$1,000,000$0$No
Jack EichelPredatorsC201996-01-01No203 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$No
Jaden SchwartzPredatorsLW241992-01-01No190 Lbs5 ft10NoNoNo2Pro Only4,000,000$4,000,000$0$No4,500,000$
Jaroslav HalakPredatorsG311985-01-01No179 Lbs5 ft11NoNoNo3Pro Only3,500,000$3,500,000$0$No3,000,000$2,500,000$
John MoorePredatorsD261990-01-01No202 Lbs6 ft3NoNoNo1Pro Only2,500,000$2,500,000$0$No
Justin AbdelkaderPredatorsLW291987-01-01No212 Lbs6 ft1NoNoNo2Pro Only1,250,000$1,250,000$0$No1,500,000$
Justin FaulkPredatorsD241992-01-01No215 Lbs6 ft0NoNoNo2Pro Only3,750,000$3,750,000$0$No3,750,000$
Kari LehtonenPredatorsG331983-01-01No215 Lbs6 ft4NoNoNo2Pro Only3,500,000$3,500,000$0$No3,000,000$
Mark PysykPredatorsRW241992-01-01No192 Lbs6 ft1NoNoNo2Pro Only1,350,000$1,350,000$0$No1,500,000$
Mikael GranlundPredatorsRW241992-01-01No185 Lbs5 ft10NoNoNo3Pro Only4,500,000$4,500,000$0$No5,000,000$5,000,000$
Mike BrownPredatorsRW311985-01-01No201 Lbs5 ft11NoNoNo2Pro Only1,000,000$1,000,000$0$No1,000,000$
Nate SchmidtPredatorsD251991-01-01No194 Lbs6 ft0NoNoNo3Pro Only1,500,000$1,500,000$0$No2,000,000$2,250,000$
Ryan KeslerPredatorsC321984-01-01No202 Lbs6 ft2NoNoNo1Pro Only3,250,000$3,250,000$0$No
Ryan McdonaghPredatorsD271989-01-01No213 Lbs6 ft1NoNoNo3Pro Only5,500,000$5,500,000$0$No5,800,000$6,100,000$
Scott LaughtonPredatorsC221994-01-01Yes177 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$1,200,000$0$No1,500,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.86200 Lbs6 ft01.902,830,952$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,450,000$50,800,000$15,850,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander OvechkinAndy MieleMikael Granlund40113
2Jaden SchwartzRyan KeslerBrendan Gallagher30122
3Justin AbdelkaderJack EichelBrad Boyes20122
4Chris HigginsScott LaughtonMark Pysyk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McdonaghAlexander Edler40122
2John MooreJustin Faulk30122
3Nate SchmidtDenis Grebeshkov20122
4Ryan McdonaghAlexander Edler10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander OvechkinAndy MieleMikael Granlund60113
2Jaden SchwartzRyan KeslerBrendan Gallagher40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McdonaghAlexander Edler60122
2John MooreJustin Faulk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jaden SchwartzBrendan Gallagher60122
2Andy MieleMark Pysyk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McdonaghAlexander Edler60122
2John MooreJustin Faulk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andy Miele60122Ryan McdonaghAlexander Edler60122
2Jaden Schwartz40122John MooreJustin Faulk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mikael GranlundAlexander Ovechkin60122
2Jaden SchwartzBrendan Gallagher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McdonaghAlexander Edler60122
2John MooreJustin Faulk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander OvechkinRyan KeslerMikael GranlundRyan McdonaghAlexander Edler
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander OvechkinRyan KeslerMikael GranlundRyan McdonaghAlexander Edler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Higgins, Brad Boyes, Jack EichelChris Higgins, Brad BoyesBrad Boyes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Denis Grebeshkov, Nate Schmidt, John MooreDenis GrebeshkovNate Schmidt, Denis Grebeshkov
Tirs de pénalité
Brendan Gallagher, Mikael Granlund, Alexander Ovechkin, Jaden Schwartz, Ryan Mcdonagh
Gardien
#1 : Jaroslav Halak, #2 : Kari Lehtonen


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
1Kings624000002324-1321000001394303000001015-540.333234164009680205625579920954489428414.29%24579.17%08515056.67%5711649.14%4710246.08%129761355510451
Total624000002324-1321000001394303000001015-540.333234164009680205625579920954489428414.29%24579.17%08515056.67%5711649.14%4710246.08%129761355510451
_Since Last GM Reset624000002324-1321000001394303000001015-540.333234164009680205625579920954489428414.29%24579.17%08515056.67%5711649.14%4710246.08%129761355510451
_Vs Conference624000002324-1321000001394303000001015-540.333234164009680205625579920954489428414.29%24579.17%08515056.67%5711649.14%4710246.08%129761355510451

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L123416420520954489400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002324
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000139
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30300001015
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28414.29%24579.17%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
62557999680
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
8515056.67%5711649.14%4710246.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
129761355510451


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2021-11-303Kings1Predators7BWSommaire du match
2 - 2021-12-0111Kings5Predators2BLSommaire du match
3 - 2021-12-0219Predators5Kings6ALXSommaire du match
4 - 2021-12-0327Predators3Kings4ALSommaire du match
5 - 2021-12-0435Kings3Predators4BWSommaire du match
6 - 2021-12-0543Predators2Kings5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance18,00015,0006,00012,0003,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 18000 - 100.00% 1,460,500$4,381,500$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 59,450,000$ 45,950,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 46,987,298$ 21 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 11,791,048$ 11,791,048$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 71,791,048$ 71,791,048$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alexander OvechkinAGE:31PO:25OV:81
Jaden SchwartzAGE:24PO:48OV:77
Justin AbdelkaderAGE:29PO:24OV:74
Chris HigginsAGE:33PO:15OV:73
Nicolas Kerdiles (R)AGE:22PO:49OV:71
Blake GeoffrionAGE:28PO:25OV:70
Nicolas Deslauriers (R)AGE:25PO:36OV:69
Hunter Shinkaruk (R)AGE:22PO:48OV:66
Alexandre Mallet (R)AGE:24PO:27OV:61
Carsen Twarynski (R)AGE:19PO:57OV:56
Troy Bourke (R)AGE:22PO:38OV:56
Andy MieleAGE:28PO:28OV:75
Ryan KeslerAGE:32PO:18OV:75
Jack EichelAGE:20PO:76OV:74
Scott Laughton (R)AGE:22PO:54OV:72
Anton Gustafsson (R)AGE:26PO:33OV:72
Markus Granlund (R)AGE:23PO:45OV:71
Lucas Wallmark (R)AGE:21PO:53OV:65
Freddie Hamilton (R)AGE:24PO:35OV:64
Ryan Olsen (R)AGE:22PO:38OV:58
Filip Chlapik (R)AGE:19PO:63OV:54
Mikael GranlundAGE:24PO:46OV:78
Brendan GallagherAGE:24PO:47OV:77
Brad BoyesAGE:34PO:15OV:75
Mark PysykAGE:24PO:40OV:74
Mike BrownAGE:31PO:15OV:74
Joel Armia (R)AGE:23PO:50OV:70
Chris LawrenceAGE:29PO:20OV:70
Mark McNeill (R)AGE:23PO:48OV:69
Brett Connolly (R)AGE:24PO:40OV:66
Kasper Bjorkqvist (R)AGE:22PO:54OV:65
Riley Barber (R)AGE:22PO:45OV:64
Mark MacMillan (R)AGE:24PO:33OV:61
Stanislav Galiev (R)AGE:24PO:32OV:58

Défense #1Défense #2Gardien
Ryan McdonaghAGE:27PO:34OV:83
Alexander EdlerAGE:30PO:22OV:81
John MooreAGE:26PO:39OV:79
Justin FaulkAGE:24PO:45OV:77
Denis GrebeshkovAGE:33PO:14OV:77
Nate SchmidtAGE:25PO:36OV:75
Josh Morrissey (R)AGE:21PO:59OV:72
T.J Brodie (R)AGE:26PO:32OV:69
Mattias Backman (R)AGE:24PO:38OV:68
Travis Dermott (R)AGE:20PO:70OV:66
Andreas Englund (R)AGE:20PO:61OV:66
Christian Djoos (R)AGE:22PO:39OV:65
Trevor Van Riemsdyk (R)AGE:25PO:33OV:64
Adam Almquist (R)AGE:25PO:31OV:64
Carl Dahlstrom (R)AGE:21PO:47OV:62
Olli Juolevi (R)AGE:18PO:72OV:60
Josh Wesley (R)AGE:20PO:51OV:60
Sergei Zborovskiy (R)AGE:19PO:64OV:54
Libor Hajek (R)AGE:18PO:62OV:53
Jaroslav HalakAGE:31PO:21OV:79
Kari LehtonenAGE:33PO:17OV:78
Tristan JarryAGE:21PO:50OV:67
Linus UllmarkAGE:23PO:39OV:62
Felix SanstromAGE:19PO:74OV:60

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

Choix au repêchage

Année R1R2R3R4R5
2
3
4
5
6






[2022-07-15 7:01:50 PM] - Predators was eliminated at round 1 of year 1.
[2022-06-29 8:48:01 PM] - Admirals didn't make playoff for year 1.
[2022-05-15 9:23:42 PM] - New Record for Team's Most Hits (36) in 1 Game for Predators!
[2022-03-07 7:00:07 PM] - New Record for Team's Most Penalties Minutes (18) in 1 Game for Predators!
[2022-02-26 8:52:31 AM] - New Record for Team's Most Hits (31) in 1 Game for Predators!
[2022-02-12 10:19:03 PM] - Byron Bitz was released.
[2022-02-12 10:19:03 PM] - Predators paid $0 to release Byron Bitz.
[2022-01-16 7:07:51 PM] - New Record for Team's Most Penalties Minutes (17) in 1 Game for Predators!



[2022-07-16 7:03:49 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-07-16 7:03:20 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-07-15 7:01:34 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-07-12 8:47:42 PM] Pro Game #19 - Jaden Schwartz from Predators has scored a Hat Trick!
[2022-06-22 8:33:59 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-06-17 7:07:58 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-06-15 9:20:53 PM] Tristan Jarry from Admirals is back from Exhaustion.
[2022-06-14 9:02:27 PM] Tristan Jarry from Admirals injured (Exhaustion)
[2022-06-14 9:00:56 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-06-14 8:59:22 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-06-13 7:02:43 PM] Kasper Bjorkqvist from Admirals is back from Sprained Left Ankle Injury.
[2022-06-13 7:02:41 PM] Game 967 - Kasper Bjorkqvist from Admirals is injured (Sprained Left Ankle) and is out for 2 days.
[2022-06-07 9:14:01 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-06-06 7:01:45 PM] Trevor Van Riemsdyk from Admirals is back from Strained Right Knee Injury.
[2022-06-03 11:23:09 PM] Successfully loaded Predators lines done with Web Base Client and SQLite Database.
[2022-06-02 7:00:52 PM] Auto Lines Function has been run for Admirals.
[2022-06-01 9:08:39 PM] Andreas Englund from Admirals is back from Upper Body Injury.
[2022-06-01 9:08:34 PM] Game 909 - Andreas Englund from Admirals is injured (Upper Body) and is out for 5 days.



Pas de blessure ou de suspension.


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

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

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

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

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