Connexion

Predators
GP: 82 | W: 41 | L: 32 | OTL: 9 | P: 91
GF: 271 | GA: 261 | PP%: 12.85% | PK%: 83.27%
DG: Libre | Morale : 49 | Moyenne d’équipe : 68
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Centre de jeu
Stars
46-27-9, 101pts
4
FINAL
8 Predators
41-32-9, 91pts
Team Stats
L2StreakL1
30-7-4Home Record21-14-6
16-20-5Away Record20-18-3
3-6-1Last 10 Games4-6-0
3.10Buts par match 3.30
3.07Buts contre par match 3.18
13.22%Pourcentage en avantage numérique12.85%
81.55%Pourcentage en désavantage numérique83.27%
Predators
41-32-9, 91pts
1
FINAL
3 Blues
32-39-11, 75pts
Team Stats
L1StreakW3
21-14-6Home Record16-22-3
20-18-3Away Record16-17-8
4-6-0Last 10 Games5-4-1
3.30Buts par match 2.94
3.18Buts contre par match 3.24
12.85%Pourcentage en avantage numérique20.99%
83.27%Pourcentage en désavantage numérique87.06%
Meneurs d'équipe
Buts
Nolan Patrick
40
Passes
Andreas Johnsson
49
Points
Andreas Johnsson
88
Plus/Moins
Jesse Puljujarvi
22
Victoires
Niklas Svedberg
35
Pourcentage d’arrêts
Niklas Svedberg
0.911

Statistiques d’équipe
Buts pour
271
3.30 GFG
Tirs pour
2735
33.35 Avg
Pourcentage en avantage numérique
12.9%
32 GF
Début de zone offensive
39.1%
Buts contre
261
3.18 GAA
Tirs contre
2622
31.98 Avg
Pourcentage en désavantage numérique
83.3%
44 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralLibre
EntraîneurJim Playfair
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,829
Billets de saison1,800


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite contact 56 / 60
Espoirs21


Historique d'équipe

Saison actuelle41-32-9 (91PTS)
Historique164-128-30 (0.509%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3-4
Coupe Stanley0


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
1Nolan Patrick (R)X100.0074486971768585828681778566605688737402331,500,000$
2Andreas Johnsson (R)X98.007040827671788187558582737075714773740271925,000$
3Oskar Sundqvist (R)X100.008649766780778475778278866674706173740281800,000$
4Brandon Tanev (R)X100.009942847770828668566968976480763548730301900,000$
5Denis Gurianov (R)X100.007338898384899577587276617868708270720242575,000$
6Matt FrattinX100.009968636375738078647468716894971974710342700,000$
7Josh Jooris (R)X100.0070457767746569777972728090848172517003131,000,000$
8Jesse Puljujarvi (R)X100.008436917788828972536974587666688874690232575,000$
9Nils Höglanger (R)X100.005735917768838277567174627962657563680213891,667$
10Frederick Gaudreau (R)X100.005635957370827466737062746276693561660282600,000$
11Adam Erne (R)X100.008771836680778665626967636772667271660272575,000$
12Tanner Jeannot (R)X100.008936916583797765566368666270665272660243800,000$
13Ryan WilsonX97.006340865977737673436357996399998707403531,500,000$
14Carson Soucy (R)X99.007775726692899165307365765274695072720272925,000$
15Bobby SanguinettiX100.0080537967776871724573537354949039677003431,000,000$
16Nikita Nesterov (R)X100.0067379671737279632564588450837939607002921,000,000$
17Ethan Bear (R)X100.006443826773887572307762775267665771690242925,000$
18Alexandre Carrier (R)X100.007339866568817664306459705270675753660252575,000$
Rayé
1Byron Froese (R)X100.006637896478757966786264686378754820650313575,000$
2Nikolai Prokhorkin (R)X100.006742896576766770597258666375715420640282925,000$
3Steven Lorentz (R)X100.007335956388808465716461596369665719640263725,000$
4Kyle Rau (R)X100.007646796365767865686459666377695119630291575,000$
5Nicholas Merkley (R)X100.007835916269827865636862556667647620630243575,000$
6Kurtis Gabriel (R)X100.009289535986697362586062656175685320630291575,000$
7Michael McCarron (R)X100.007885576299828559665860645771667720630271575,000$
8Jansen Harkins (R)X100.005441936373717368686661676366637220630242767,500$
9Boo Nieves (R)X100.006035966381737767706560656273686220630281575,000$
10Joseph Cramarossa (R)X100.007964506172737260606159606077695420610291575,000$
11Jesse Ylönen (R)X100.005035956568747363586162636463657620610223880,833$
12Chris Summers (R)X100.008126996278515869485949895791833620690341700,000$
13Alexey Marchenko (R)X100.004925997179618462185345875070704120670301700,000$
14Michal Jordan (R)X100.004521996875527471516450876068694020660313600,000$
15Tim Heed (R)X100.004833956671757170307468735079714720660313700,000$
16Christian Jaros (R)X100.007140946383757561306557715370675520660261755,000$
17Josh Mahura (R)X100.005735926672807567306961655466646320640231745,000$
18Samuel Morin (R)X100.007982655993766861555860645671678119640262575,000$
MOYENNE D’ÉQUIPE99.83714584677776786954686372627471564367
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
1Vitek Vanecek (R)100.00839286788286888786838269737268820263716,667$
Rayé
1Niklas Svedberg (R)95.008070707374999999997779908665738303221,000,000$
MOYENNE D’ÉQUIPE97.5082817876789394939380818080697183
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Playfair71646674907873CAN551900,000$


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
1Andreas JohnssonPredators (NSH)RW82394988-120015615135111523511.11%37174421.28712195823901162214335.61%3379031011.013110001244
2Nolan PatrickPredators (NSH)C824046861082101681882796817214.34%29154418.837310241811014855552.91%15804229021.1127011955
3Denis GurianovPredators (NSH)LW773138696235123952689117711.57%31142918.573912221871014556136.25%807524010.9703010456
4Oskar Sundqvist Predators (NSH)C82254166-38351981962247415911.16%45170520.8059143323810151883050.72%20843334000.7729001345
5Matt FrattinPredators (NSH)RW82163147416450193119189631118.47%33143317.4817814178000023061.74%1152818000.6600343132
6Nils HöglangerPredators (NSH)LW82212445122057772106012210.00%29113113.800111330002643135.14%744819000.8001000103
7Jesse PuljujarviPredators (NSH)RW822321442260133791814712312.71%21101012.33000010000001244.74%38319000.8700000155
8Brandon TanevPredators (NSH)LW66152843-4140135100129329011.63%23136520.684592320301161443036.99%1462620010.6305000131
9Josh JoorisPredators (NSH)C5212243613220637212125609.92%2463112.1401105000011053.71%4041311001.1422000031
10Ryan WilsonPredators (NSH)D8042327163158513111043353.64%117192224.03235112530111242110.00%0770000.2800001013
11Frederick GaudreauPredators (NSH)C8261723700396310542625.71%157759.46000000000502050.92%3792512000.5900000001
12Carson SoucyPredators (NSH)D676172310101151381068832326.82%68156223.32134162210113181100.00%02048000.2900021002
13Adam ErnePredators (NSH)RW8261521-710093397521518.00%95857.13000040001140236.00%25255000.7200000011
14Nikita NesterovPredators (NSH)D8211819-220711317733251.30%87176221.4913451690004174000.00%01549000.2200000020
15Bobby SanguinettiPredators (NSH)D7911718483251201117248311.39%78165220.9201181610003144000.00%02944000.2200122001
16Ethan BearPredators (NSH)D8211415-235566946631251.52%76137616.78101143000034000.00%02439000.2200001000
17Tanner JeannotPredators (NSH)LW8210414280765279203712.66%126958.48000020001152160.00%30910000.4000000105
18Alexandre CarrierPredators (NSH)D76145719576775315231.89%67121315.9700006000062000.00%01022000.0800001000
19Boo NievesPredators (NSH)LW20505-1007112281122.73%11608.0300000000115010.00%321000.6200000021
20Tim HeedPredators (NSH)D1614550071518755.56%2025315.8400000000010010.00%035000.3900000001
21Steven LorentzPredators (NSH)C1913440017384512.50%61337.0300000000000058.54%4111000.6000000000
22Chris SummersPredators (NSH)D90333001692210.00%1213615.2000000000012000.00%004000.4400000000
23Kyle RauPredators (NSH)LW1000020301100.00%288.780000000000000.00%000000.0000000000
24Nikolai ProkhorkinPredators (NSH)C11000-600457470.00%3736.6700000000000033.33%3001000.0000000000
25Samuel MorinPredators (NSH)D2000-100360010.00%23216.340000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne14772654417069870712520471930273588616009.69%8472434016.483257892162144347411724351849.96%5366556506050.5893841011333847
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
1Niklas SvedbergPredators (NSH)62352140.9112.783628201681892792330.864226022351
2Vitek VanecekPredators (NSH)2561150.8823.8313480086727306200.813162260110
Statistiques d’équipe totales ou en moyenne87413290.9033.0649772025426191098530.842388282461


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
Adam ErnePredators (NSH)RW271995-04-20 09:47:57Yes212 Lbs6 ft1NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Alexandre CarrierPredators (NSH)D251996-10-08 04:11:56Yes183 Lbs5 ft11NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Alexey MarchenkoPredators (NSH)D301992-01-02 05:11:13Yes218 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,665$0$0$No
Andreas JohnssonPredators (NSH)RW271994-11-21 05:30:22Yes181 Lbs5 ft10NoNoNo1Pro & Farm925,000$4,843$0$0$No
Bobby SanguinettiPredators (NSH)D341988-02-28 05:11:13No201 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Boo NievesPredators (NSH)LW281994-01-23 09:51:40Yes210 Lbs6 ft3NoNoNo1Pro & Farm575,000$3,010$0$0$No
Brandon TanevPredators (NSH)LW301991-12-31 09:49:43Yes180 Lbs6 ft0NoNoNo1Pro & Farm900,000$4,712$0$0$No
Byron FroesePredators (NSH)C311991-03-12 10:21:16Yes203 Lbs6 ft1NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Carson SoucyPredators (NSH)D271994-07-24 13:32:14Yes212 Lbs6 ft5NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Chris SummersPredators (NSH)D341988-02-05 05:11:13Yes213 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,665$0$0$No
Christian JarosPredators (NSH)D261996-04-02 04:19:52Yes201 Lbs6 ft3NoNoNo1Pro & Farm755,000$3,953$0$0$No
Denis GurianovPredators (NSH)LW241997-06-07 09:53:45Yes201 Lbs6 ft3NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Ethan BearPredators (NSH)D241997-06-26 13:30:38Yes196 Lbs5 ft11NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Frederick GaudreauPredators (NSH)C281993-05-01 03:42:10Yes179 Lbs6 ft0NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Jansen HarkinsPredators (NSH)C241997-05-23 06:46:07Yes187 Lbs6 ft1NoNoNo2Pro & Farm767,500$4,018$0$0$No767,500$
Jesse PuljujarviPredators (NSH)RW231998-05-07 09:56:00Yes201 Lbs6 ft4NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Jesse YlönenPredators (NSH)RW221999-10-03 13:51:24Yes187 Lbs6 ft1NoNoNo3Pro & Farm880,833$4,612$0$0$No880,833$880,833$
Joseph CramarossaPredators (NSH)LW291992-10-26 03:39:18Yes193 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Josh JoorisPredators (NSH)C311990-07-14 17:11:13Yes194 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Josh MahuraPredators (NSH)D231998-05-05 12:47:30Yes192 Lbs6 ft0NoNoNo1Pro & Farm745,000$3,901$0$0$No
Kurtis GabrielPredators (NSH)RW291993-04-20 11:11:13Yes200 Lbs6 ft4NoNoNo1Pro & Farm575,000$3,010$0$0$No
Kyle RauPredators (NSH)LW291992-10-24 08:23:57Yes176 Lbs5 ft8NoNoNo1Pro & Farm575,000$3,010$0$0$No
Matt FrattinPredators (NSH)RW341988-01-03 17:11:13No204 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,665$0$0$No700,000$
Michael McCarron Predators (NSH)RW271995-03-07 18:40:02Yes230 Lbs6 ft6NoNoNo1Pro & Farm575,000$3,010$0$0$No
Michal JordanPredators (NSH)D311990-07-17 17:11:13Yes198 Lbs6 ft1NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Nicholas MerkleyPredators (NSH)RW241997-05-23 09:35:43Yes194 Lbs5 ft10NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Nikita NesterovPredators (NSH)D291993-03-28 11:11:13Yes188 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
Niklas Svedberg (sur la masse salariale)Predators (NSH)G321989-09-04 11:11:14Yes179 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
Nikolai ProkhorkinPredators (NSH)C281993-09-17 06:49:59Yes201 Lbs6 ft2NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Nils HöglangerPredators (NSH)LW212000-12-20 13:55:24Yes190 Lbs5 ft9NoNoNo3Pro & Farm891,667$4,668$0$0$No891,667$891,667$
Nolan PatrickPredators (NSH)C231998-09-19 09:32:24Yes198 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Oskar Sundqvist Predators (NSH)C281994-03-23 10:24:07Yes209 Lbs6 ft3NoNoNo1Pro & Farm800,000$4,188$0$0$No
Ryan WilsonPredators (NSH)D351987-02-03 23:11:13No218 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$7,853$0$0$No1,500,000$1,500,000$
Samuel MorinPredators (NSH)D261995-07-12 10:02:08Yes203 Lbs6 ft6NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Steven LorentzPredators (NSH)C261996-04-13 05:46:29Yes205 Lbs6 ft4NoNoNo3Pro & Farm725,000$3,796$0$0$No725,000$725,000$
Tanner JeannotPredators (NSH)LW241997-05-29 05:50:39Yes214 Lbs6 ft2NoNoNo3Pro & Farm800,000$4,188$0$0$No800,000$800,000$
Tim HeedPredators (NSH)D311991-01-27 04:34:13Yes180 Lbs5 ft11NoNoNo3Pro & Farm700,000$3,665$0$0$No700,000$700,000$
Vitek VanecekPredators (NSH)G261996-01-09 13:57:45Yes187 Lbs6 ft1NoNoNo3Pro & Farm716,667$3,752$0$0$No716,667$716,667$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3827.63198 Lbs6 ft12.03778,465$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon TanevOskar Sundqvist Andreas Johnsson35122
2Denis GurianovNolan PatrickMatt Frattin35122
3Nils HöglangerJosh JoorisJesse Puljujarvi25122
4Tanner JeannotFrederick GaudreauAdam Erne5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan WilsonCarson Soucy35122
2Nikita NesterovBobby Sanguinetti35122
3Ethan BearAlexandre Carrier30122
4Ryan WilsonCarson Soucy0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon TanevOskar Sundqvist Andreas Johnsson60122
2Denis GurianovNolan PatrickMatt Frattin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan WilsonCarson Soucy60122
2Nikita NesterovBobby Sanguinetti40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonOskar Sundqvist 60122
2Brandon TanevNolan Patrick40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan WilsonCarson Soucy60122
2Nikita NesterovBobby Sanguinetti40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Johnsson60122Ryan WilsonCarson Soucy60122
2Oskar Sundqvist 40122Nikita NesterovBobby Sanguinetti40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnssonOskar Sundqvist 60122
2Brandon TanevNolan Patrick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan WilsonCarson Soucy60122
2Nikita NesterovBobby Sanguinetti40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon TanevOskar Sundqvist Andreas JohnssonRyan WilsonCarson Soucy
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon TanevOskar Sundqvist Andreas JohnssonRyan WilsonCarson Soucy
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Jooris, Jesse Puljujarvi, Nils HöglangerJosh Jooris, Jesse PuljujarviNils Höglanger
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Bear, Alexandre Carrier, Nikita NesterovEthan BearAlexandre Carrier, Nikita Nesterov
Tirs de pénalité
Andreas Johnsson, Oskar Sundqvist , Brandon Tanev, Nolan Patrick, Denis Gurianov
Gardien
#1 : , #2 : Vitek Vanecek
Lignes d’attaque personnalisées en prolongation
Andreas Johnsson, Oskar Sundqvist , Brandon Tanev, Nolan Patrick, Denis Gurianov, Matt Frattin, Matt Frattin, Josh Jooris, Jesse Puljujarvi, Nils Höglanger, Tanner Jeannot
Lignes de défense personnalisées en prolongation
Ryan Wilson, Carson Soucy, Nikita Nesterov, Bobby Sanguinetti, Ethan Bear


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
1Avalanche6320100016151311010008803210000087180.66716244000689895131858499878766017055791573226.25%220100.00%11056208050.77%972201948.14%653122653.26%1783105117977401402694
2Blackhawks6310101022166310010101293321000001073100.833223658106898951319684998787660181635417722313.64%27677.78%01056208050.77%972201948.14%653122653.26%1783105117977401402694
3Blues614000011322-931200000710-330200001612-630.25013223500689895131868499878766018562901363525.71%25580.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
4Bruins210010001046110000007251000100032141.00010182800689895136784998787660792215563266.67%5180.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
5Canadiens21000010752100000105411100000021141.00071017006898951367849987876607822449200.00%20100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
6Canucks413000001517-2211000009812020000069-320.25015243900689895131398499878766012932121099111.11%6183.33%01056208050.77%972201948.14%653122653.26%1783105117977401402694
7Capitals2100010010551000010034-11100000071630.75010172700689895137884998787660552225367228.57%5260.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
8Devils21000010642110000002111000001043141.0006713006898951357849987876606230861100.00%40100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
9Ducks4120010011110210001008622020000035-230.37511172800689895131378499878766014145261069222.22%13376.92%01056208050.77%972201948.14%653122653.26%1783105117977401402694
10Flames412000011518-320100001811-32110000077030.37515264100689895131358499878766012636349512325.00%12191.67%01056208050.77%972201948.14%653122653.26%1783105117977401402694
11Flyers2110000079-2110000005411010000025-320.500711180068989513718499878766076292614125.00%10100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
12Islanders3120000010912020000058-31100000051420.33310152510689895139184998787660100433050500.00%5180.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
13Kings42100001131212010000168-22200000074350.6251323360068989513134849987876601303634946116.67%17288.24%01056208050.77%972201948.14%653122653.26%1783105117977401402694
14Maple Leafs22000000826110000005141100000031241.000813210068989513698499878766072236514125.00%30100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
15Oilers612002101922-320000110660412001001316-360.50019284700689895132028499878766018777321462129.52%16662.50%01056208050.77%972201948.14%653122653.26%1783105117977401402694
16Penguins21100000610-41010000027-51100000043120.5006915006898951377849987876607323946100.00%20100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
17Rangers21000100651110000004221000010023-130.750610160068989513648499878766057214784125.00%20100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
18Red Wings22000000844110000004131100000043141.0008142200689895137384998787660651410404125.00%5180.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
19Sabres21100000981110000006421010000034-120.50091423006898951380849987876607224449200.00%2150.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
20Senateurs30300000411-72020000038-51010000013-200.00048121068989513998499878766010333860500.00%50100.00%01056208050.77%972201948.14%653122653.26%1783105117977401402694
21Sharks41001011151322100000155020001010108270.8751526410068989513154849987876601223930939222.22%15193.33%11056208050.77%972201948.14%653122653.26%1783105117977401402694
22Stars6230001023221321000001611530200010711-460.5002338610068989513205849987876601854911214530413.33%36877.78%01056208050.77%972201948.14%653122653.26%1783105117977401402694
23Wild624000001817131200000107331200000810-240.33318314900689895131698499878766017447811522229.09%33584.85%11056208050.77%972201948.14%653122653.26%1783105117977401402694
Total8231320456427126110411614023331461351141151802231125126-1910.5552714417123068989513273584998787660262284770920472493212.85%2634483.27%31056208050.77%972201948.14%653122653.26%1783105117977401402694
_Since Last GM Reset8231320456427126110411614023331461351141151802231125126-1910.5552714417123068989513273584998787660262284770920472493212.85%2634483.27%31056208050.77%972201948.14%653122653.26%1783105117977401402694
_Vs Conference56182403344180185-52799022239589629915011218596-11570.5091802954751068989513184284998787660173054158414102072411.59%2223882.88%31056208050.77%972201948.14%653122653.26%1783105117977401402694
_Vs Division3011140202192920156602010534581558000113947-8310.51792151243106898951394184998787660895276416767141139.22%1432483.22%21056208050.77%972201948.14%653122653.26%1783105117977401402694

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8291L127144171227352622847709204730
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8231324564271261
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116142333146135
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115182231125126
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2493212.85%2634483.27%3
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
8499878766068989513
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
1056208050.77%972201948.14%653122653.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1783105117977401402694


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 - 2021-10-154Blues2Predators4BWR5Sommaire du match
3 - 2021-10-1713Predators4Blackhawks2AWSommaire du match
5 - 2021-10-1922Predators4Oilers1AWSommaire du match
9 - 2021-10-2338Avalanche4Predators2BLR5Sommaire du match
13 - 2021-10-2758Wild2Predators7BWSommaire du match
15 - 2021-10-2975Blackhawks3Predators4BWR5Sommaire du match
16 - 2021-10-3079Predators2Oilers3ALXSommaire du match
19 - 2021-11-0288Predators3Wild5ALR5Sommaire du match
20 - 2021-11-0397Predators2Stars4ALSommaire du match
22 - 2021-11-05108Predators3Avalanche2AWR5Sommaire du match
24 - 2021-11-07118Stars4Predators2BLSommaire du match
26 - 2021-11-09124Predators4Blues5ALXXR5Sommaire du match
29 - 2021-11-12139Kings5Predators4BLXXR2Sommaire du match
31 - 2021-11-14149Predators2Stars5ALSommaire du match
34 - 2021-11-17165Blues4Predators2BLR5Sommaire du match
38 - 2021-11-21182Predators2Oilers4ALSommaire du match
39 - 2021-11-22190Flames7Predators5BLR2Sommaire du match
42 - 2021-11-25204Predators3Flames4ALSommaire du match
44 - 2021-11-27213Flyers4Predators5BWSommaire du match
46 - 2021-11-29224Predators4Flames3AWR2Sommaire du match
48 - 2021-12-01234Capitals4Predators3BLXSommaire du match
50 - 2021-12-03245Predators3Stars2AWXXSommaire du match
52 - 2021-12-05258Stars3Predators6BWSommaire du match
55 - 2021-12-08272Predators3Maple Leafs1AWSommaire du match
57 - 2021-12-10283Devils1Predators2BWSommaire du match
59 - 2021-12-12300Predators2Canadiens1AWSommaire du match
61 - 2021-12-14306Kings3Predators2BLR2Sommaire du match
64 - 2021-12-17321Predators5Oilers8ALSommaire du match
66 - 2021-12-19332Red Wings1Predators4BWSommaire du match
68 - 2021-12-21341Predators4Red Wings3AWSommaire du match
70 - 2021-12-23349Predators1Wild3ALR5Sommaire du match
72 - 2021-12-25358Avalanche1Predators2BWR5Sommaire du match
75 - 2021-12-28378Predators4Penguins3AWSommaire du match
76 - 2021-12-29383Blues4Predators1BLR5Sommaire du match
79 - 2022-01-01402Predators1Senateurs3ALSommaire du match
81 - 2022-01-03407Flames4Predators3BLXXR2Sommaire du match
85 - 2022-01-07428Rangers2Predators4BWSommaire du match
88 - 2022-01-10445Bruins2Predators7BWSommaire du match
90 - 2022-01-12455Predators2Rangers3ALXSommaire du match
92 - 2022-01-14469Blackhawks3Predators4BWXR5Sommaire du match
96 - 2022-01-18487Predators6Sharks5AWXR2Sommaire du match
98 - 2022-01-20498Senateurs4Predators2BLSommaire du match
100 - 2022-01-22513Avalanche3Predators4BWXR5Sommaire du match
102 - 2022-01-24525Predators3Canucks4ALSommaire du match
104 - 2022-01-26533Predators5Islanders1AWSommaire du match
106 - 2022-01-28542Penguins7Predators2BLSommaire du match
108 - 2022-01-30560Ducks3Predators2BLXR2Sommaire du match
110 - 2022-02-01569Predators2Ducks3ALSommaire du match
111 - 2022-02-02574Predators3Canucks5ALR2Sommaire du match
114 - 2022-02-05589Predators3Sabres4ALSommaire du match
115 - 2022-02-06597Canadiens4Predators5BWXXSommaire du match
118 - 2022-02-09614Islanders4Predators3BLSommaire du match
122 - 2022-02-13635Sabres4Predators6BWSommaire du match
124 - 2022-02-15646Predators2Flyers5ALSommaire du match
126 - 2022-02-17659Blackhawks3Predators4BWXXR5Sommaire du match
128 - 2022-02-19671Predators3Bruins2AWXSommaire du match
130 - 2022-02-21680Predators1Ducks2ALR2Sommaire du match
131 - 2022-02-22687Maple Leafs1Predators5BWSommaire du match
133 - 2022-02-24700Predators4Sharks3AWXXR2Sommaire du match
135 - 2022-02-26711Sharks4Predators3BLXXSommaire du match
137 - 2022-02-28726Predators4Devils3AWXXSommaire du match
139 - 2022-03-02735Canucks5Predators3BLR2Sommaire du match
143 - 2022-03-06756Canucks3Predators6BWSommaire du match
145 - 2022-03-08768Predators2Kings1AWR2Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2022-03-10777Oilers3Predators2BLXSommaire du match
150 - 2022-03-13790Predators5Kings3AWR2Sommaire du match
152 - 2022-03-15800Predators4Wild2AWSommaire du match
153 - 2022-03-16809Islanders4Predators2BLSommaire du match
156 - 2022-03-19823Predators4Avalanche1AWR5Sommaire du match
158 - 2022-03-21833Wild3Predators2BLSommaire du match
161 - 2022-03-24850Sharks1Predators2BWR2Sommaire du match
162 - 2022-03-25858Predators7Capitals1AWSommaire du match
165 - 2022-03-28870Predators2Blackhawks4ALR5Sommaire du match
167 - 2022-03-30879Oilers3Predators4BWXXSommaire du match
170 - 2022-04-02894Predators4Blackhawks1AWR5Sommaire du match
172 - 2022-04-04906Senateurs4Predators1BLSommaire du match
174 - 2022-04-06916Predators1Avalanche4ALR5Sommaire du match
176 - 2022-04-08929Ducks3Predators6BWSommaire du match
178 - 2022-04-10939Predators1Blues4ALR5Sommaire du match
181 - 2022-04-13949Wild2Predators1BLR5Sommaire du match
188 - 2022-04-20970Stars4Predators8BWSommaire du match
189 - 2022-04-21976Predators1Blues3ALR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance77,28638,696
Assistance PCT94.25%94.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2829 - 94.29% 120,921$4,957,753$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,759,317$ 2,958,167$ 2,125,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,488$ 2,864,024$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 20,200$ 20,200$




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
1Nolan Patrick2461111272383623848252980813.74%88443218.022312357620210141152.52%51.07414
2Oskar Sundqvist 24663127190-1322758458053211.84%116486119.7613425582202169150.44%00.78724
3Denis Gurianov2367610117767238727771210.67%85410617.4061824442241214339.44%20.8607
4Andreas Johnsson1647898176-24031230270211.11%74348921.28142438116022128635.61%21.01622
5Matt Frattin245488413284325843435978.04%92405616.56215172800009259.29%00.6500

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
1Niklas Svedberg1568652100.9082.89899341433470120111060.85147
2Andrew Hammond57281790.9142.653233621431670676320.71428
3Vitek Vanecek501222100.8823.832697001721454612400.81332

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
1282303702265290308-1841171700142146139741132002123144169-25602904857751093104851129571038992909573022100574820363235216.10%2856078.95%61172219253.47%1184226752.23%689130552.80%1767100417797711434714
158238270373426924623411811024331401152541201601301129131-2992694437122382928911265985186892249258991457622282595822.39%2453386.53%9988192351.38%1029200051.45%601121249.59%1759104418387371377673
168231320456427126110411614023331461351141151802231125126-1912714417123068989513273584998787660262284770920472493212.85%2634483.27%31056208050.77%972201948.14%653122653.26%1783105117977401402694
168231320456427126110411614023331461351141151802231125126-1912714417123068989513273584998787660262284770920472493212.85%2634483.27%31056208050.77%972201948.14%653122653.26%1783105117977401402694
Total Saison régulière328130128013192117110110762516467560611131157852454164637207886523552-2934111011810291193311392364481108635873834358322610855361327428358108017416.11%105618182.86%214272827551.63%4157830550.05%2596496952.24%709341527211298956172776
Séries éliminatoires
15734000001821-342200000121203120000069-361830481067322194888758246926818920210.00%34876.47%08417647.73%10521349.30%5210350.49%141801696511957
Total Séries éliminatoires734000001821-342200000121203120000069-361830481067322194888758246926818920210.00%34876.47%08417647.73%10521349.30%5210350.49%141801696511957

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
1Matt Frattin74373414101625.00%69814.04000000001014.29%01.4200
2Phil Di Giuseppe 7246-261511277.41%314620.87022600010144.44%00.8200
3Colton Sissons7246222391910.53%212417.76000200001069.23%00.9700
4Nolan Patrick7224218920287.14%111416.33000400000059.81%00.7000
5Melker Karlsson7134-22818214.76%414721.02011500010034.33%00.5400

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
1Andrew Hammond52210.9272.58302001317983010.0000
2Niklas Svedberg21100.8943.311270076623000.0000