Predators

GP: 5 | W: 1 | L: 4
GF: 11 | GA: 16 | PP%: 11.11% | PK%: 76.67%
DG: Libre | Morale : 1 | Moyenne d'Équipe : 66
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Micheal Ferland (R)X100.008142837377799482677782856077595341740
2Melker Karlsson (R)X100.006334996871748177577482889080777015730
3Colton Sissons (R)X100.007241777175858869857367836169536868700
4Phil Di Giuseppe (R)X100.008049696376787879608182705663576931700
5Brandon Tanev (R)X100.009647687170809368636667856858523636690
6Oskar Sundqvist (R)X100.007135737085828769756868745669526246680
7Nolan Patrick (R)X100.006741767080838569846968696656529132670
8Josh Jooris (R)X100.006338846773696971786770749078757539670
9Byron Froese (R)X100.007145766873738566746862695467554839650
10Adam Erne (R)X100.008444686880767867686765666555517541650
11Boo Nieves (R)X100.006335756685687265696262675362516634620
12Denis Gurianov (R)X100.005735736979576068566665665451508517610
13Lukas KrajicekX100.0091995979959993499393287688993028670
14Chris Summers (R)X100.008631946277525866485750825783753912660
15Nikita Nesterov (R)X100.007241917172737957256057715077734335660
16Alexey Marchenko (R)X100.005531997178648459185146795067674341650
17Christian Jaros (R)X100.007641726484757564306661665363515642650
18Frank Corrado (R)X100.006040826574616669306457655478734526630
Rayé
1Viktor TikhonovX100.007755546675586059605663776570916119630
2Jesse Puljujarvi (R)X100.006735746487767562506763635356528927620
3Frederick Gaudreau (R)X100.006035736770736862786162645362514220610
4Sergei Plotnikov (R)X100.008235776773426762655757725055554419600
5Nicholas Baptiste (R)X100.005436826277638560505960605165526519590
6Nicholas Merkley (R)X100.004835816570606860515859615067517719580
7Tim Heed (R)X100.006035757071716868307268666070534722640
8Samuel Morin (R)X100.006935755393645253305651815057548220620
9Alexandre Carrier (R)X100.004228817169484660305653675259619219580
10Josh Mahura (R)X100.005135736773565867305755575451506419570
MOYENNE D'ÉQUIPE100.00663779677769746754656470596660613065
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 SP
1Carter Hutton (R)100.00868993748589919089907864752341830
2Niklas Svedberg (R)100.00777070737291969999747982786941800
Rayé
MOYENNE D'ÉQUIPE100.0082808274799094959482797377464182
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Playfair69686971877573CAN533900,000$


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
1Josh JoorisPredators (NSH)RW5325040521421321.43%15611.2601102000000033.33%322001.7800000010
2Melker KarlssonPredators (NSH)RW5033-1007813570.00%111422.810222240000260033.33%913000.5300000000
3Lukas KrajicekPredators (NSH)D51233200815366.67%412925.94101227000128000.00%045000.4600000000
4Phil Di Giuseppe Predators (NSH)LW5033260199213120.00%19719.580001200001140055.56%933000.6100000000
5Nolan PatrickPredators (NSH)C5202200131453440.00%18617.31000220000040046.81%9420000.4600000001
6Colton SissonsPredators (NSH)RW5112280131716386.25%19318.610002200000100050.00%611000.4300000010
7Micheal FerlandPredators (NSH)LW5112-1201410219104.76%211222.520115240000240048.00%5014000.3600000010
8Nikita NesterovPredators (NSH)D502230015153220.00%613126.22000027000129000.00%016000.3100000000
9Byron FroesePredators (NSH)C50220401165230.00%25410.9400000000000037.14%3510000.7300000000
10Brandon TanevPredators (NSH)LW5202060107102620.00%25711.521011200000100.00%110000.6900000000
11Oskar Sundqvist Predators (NSH)C5101-1160131061216.67%08617.31101323000000048.21%11213000.2300000000
12Denis GurianovPredators (NSH)RW5011-200130020.00%0265.360110000000000.00%020000.7500000000
13Chris SummersPredators (NSH)D5000-1008161210.00%710821.63000018000017000.00%004000.0000000000
14Frank CorradoPredators (NSH)D5000-2201113000.00%26412.860000000002000.00%030000.0000000000
15Alexey MarchenkoPredators (NSH)D5000-2202102120.00%310621.36000018000015000.00%001000.0000000000
16Adam ErnePredators (NSH)LW5000-200432140.00%2377.5000000000090025.00%420000.0000000000
17Boo NievesPredators (NSH)C5000-220221020.00%1255.0900000000000037.50%800000.0000000000
18Christian JarosPredators (NSH)D5000-340482000.00%76112.240000100000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne90111728-558014215914039847.86%43145016.123581823300031831045.62%3312533000.3900000031
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)31200.9302.3517900710038100.000032100
2Carter HuttonPredators (NSH)20200.8424.501202095724000.000023000
Stats d'équipe Total ou en Moyenne51400.8983.21299201615762100.000055100


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam ErnePredators (NSH)LW251995-04-20 09:47:57Yes214 Lbs6 ft1NoNoNo1Pro & Farm874,167$0$0$No
Alexandre CarrierPredators (NSH)D231996-10-08 04:11:56Yes177 Lbs5 ft11NoNoNo1Pro & Farm688,333$0$0$No
Alexey MarchenkoPredators (NSH)D281992-01-02 05:11:13Yes218 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$
Boo NievesPredators (NSH)C261994-01-23 09:51:40Yes210 Lbs6 ft3NoNoNo1Pro & Farm755,000$0$0$No
Brandon TanevPredators (NSH)LW281991-12-31 09:49:43Yes180 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Byron FroesePredators (NSH)C291991-03-12 10:21:16Yes191 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Carter HuttonPredators (NSH)G341985-12-19 11:11:14Yes198 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Chris SummersPredators (NSH)D321988-02-05 05:11:13Yes213 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Christian JarosPredators (NSH)D241996-04-02 04:19:52Yes201 Lbs6 ft3NoNoNo3Pro & Farm755,000$0$0$No755,000$755,000$
Colton SissonsPredators (NSH)RW261993-11-05 11:11:13Yes200 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Denis GurianovPredators (NSH)RW231997-06-07 09:53:45Yes195 Lbs6 ft2NoNoNo1Pro & Farm894,166$0$0$No
Frank CorradoPredators (NSH)D271993-03-26 11:11:13Yes193 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
Frederick GaudreauPredators (NSH)C271993-05-01 03:42:10Yes179 Lbs6 ft0NoNoNo1Pro & Farm666,667$0$0$No
Jesse PuljujarviPredators (NSH)RW221998-05-07 09:56:00Yes201 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
Josh JoorisPredators (NSH)RW291990-07-14 17:11:13Yes194 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Josh MahuraPredators (NSH)D221998-05-05 12:47:30Yes192 Lbs6 ft0NoNoNo3Pro & Farm745,000$0$0$No745,000$745,000$
Lukas KrajicekPredators (NSH)D371983-03-11 23:11:13No220 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Melker KarlssonPredators (NSH)RW291990-07-18 17:11:13Yes186 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$0$0$No
Micheal FerlandPredators (NSH)LW281992-04-20 05:11:13Yes222 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Nicholas BaptistePredators (NSH)RW241995-08-04 10:00:24Yes207 Lbs6 ft1NoNoNo1Pro & Farm718,333$0$0$No
Nicholas MerkleyPredators (NSH)RW231997-05-23 09:35:43Yes194 Lbs5 ft10NoNoNo2Pro & Farm863,333$0$0$No863,333$
Nikita NesterovPredators (NSH)D271993-03-28 11:11:13Yes188 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$
Niklas SvedbergPredators (NSH)G301989-09-04 11:11:14Yes179 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Nolan PatrickPredators (NSH)C211998-09-19 09:32:24Yes198 Lbs6 ft2NoNoNo2Pro & Farm3,575,000$0$0$No3,575,000$
Oskar Sundqvist Predators (NSH)C261994-03-23 10:24:07Yes209 Lbs6 ft3NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Phil Di Giuseppe Predators (NSH)LW261993-10-09 10:25:56Yes202 Lbs6 ft0NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$
Samuel MorinPredators (NSH)D241995-07-12 10:02:08Yes204 Lbs6 ft6NoNoNo1Pro & Farm863,333$0$0$No
Sergei Plotnikov Predators (NSH)LW301990-06-03 10:27:25Yes207 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Tim HeedPredators (NSH)D291991-01-27 04:34:13Yes180 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$
Viktor TikhonovPredators (NSH)LW321988-05-12 05:11:13No199 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3027.03198 Lbs6 ft11.80923,278$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Micheal FerlandOskar Sundqvist Melker Karlsson35122
2Phil Di Giuseppe Nolan PatrickColton Sissons35122
3Brandon TanevByron FroeseJosh Jooris25122
4Adam ErneBoo NievesDenis Gurianov5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lukas KrajicekNikita Nesterov35122
2Chris SummersAlexey Marchenko35122
3Christian JarosFrank Corrado30122
4Lukas KrajicekNikita Nesterov0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Micheal FerlandOskar Sundqvist Melker Karlsson60122
2Phil Di Giuseppe Nolan PatrickColton Sissons40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lukas KrajicekNikita Nesterov60122
2Chris SummersAlexey Marchenko40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Micheal FerlandMelker Karlsson60122
2Phil Di Giuseppe Colton Sissons40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lukas KrajicekNikita Nesterov60122
2Chris SummersAlexey Marchenko40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Micheal Ferland60122Lukas KrajicekNikita Nesterov60122
2Melker Karlsson40122Chris SummersAlexey Marchenko40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Micheal FerlandMelker Karlsson60122
2Phil Di Giuseppe Colton Sissons40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lukas KrajicekNikita Nesterov60122
2Chris SummersAlexey Marchenko40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Micheal FerlandOskar Sundqvist Melker KarlssonLukas KrajicekNikita Nesterov
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Micheal FerlandOskar Sundqvist Melker KarlssonLukas KrajicekNikita Nesterov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Tanev, Josh Jooris, Adam ErneBrandon Tanev, Josh JoorisAdam Erne
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Jaros, Frank Corrado, Chris SummersChristian JarosFrank Corrado, Chris Summers
Tirs de Pénalité
Micheal Ferland, Melker Karlsson, Phil Di Giuseppe , Colton Sissons, Brandon Tanev
Gardien
#1 : Niklas Svedberg, #2 : Carter Hutton


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
LigueDomicileVisiteur
# 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
1Blackhawks514000001116-52110000064230300000512-720.2001117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743
Total514000001116-52110000064230300000512-720.2001117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743
_Since Last GM Reset514000001116-52110000064230300000512-720.2001117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743
_Vs Conference514000001116-52110000064230300000512-720.2001117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743
_Vs Division514000001116-52110000064230300000512-720.2001117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L2111728140157436014200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001116
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000064
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000512
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
27311.11%30776.67%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
53404706140
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
6113744.53%6213246.97%286245.16%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10354109508743


Derniers Match 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
2 - 2019-10-076Predators2Blackhawks5LR5Sommaire du Match
4 - 2019-10-0914Predators2Blackhawks4LSommaire du Match
6 - 2019-10-1122Blackhawks1Predators4WR5Sommaire du Match
8 - 2019-10-1330Blackhawks3Predators2LSommaire du Match
10 - 2019-10-1538Predators1Blackhawks3LR5Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance4,0001,986
Assistance PCT100.00%99.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2993 - 99.77% 104,308$208,615$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,769,833$ 2,004,833$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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
14514000001116-52110000064230300000512-721117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743
Total Séries514000001116-52110000064230300000512-721117280061401405340470157436014227311.11%30776.67%06113744.53%6213246.97%286245.16%10354109508743