Kings

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Guillaume Laplante | Morale : 1 | Moyenne d'Équipe : 65
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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
1Cory Conacher (R)X100.004632946670838893648383907871743226760
2Anders LeeX100.006849728382879379627586735069703358750
3Tommy Wingels (R)X100.009894787975768176626469836379811665720
4Tanner Pearson (R)X100.005940857673648277617879805071726346720
5Viktor Arvidsson (R)X100.004735768458688081337082715072716055700
6Patrick Maroon (R)X100.006973687483738573366778735066705730690
7Connor Brown (R)X100.005035857667667571326372715764587947650
8Zach Hyman (R)X100.006038787174707865386360745862635345640
9Andrew Copp (R)X100.006239797074477164765561705856794819620
10Tanner Kero (R)X100.005436827767506262735958775058625850620
11Frank Vatrano (R)X100.005837778163516769345567565064587957610
12Dominik Simon (R)X100.004635807463566061685861585849794720590
13Danny DeKeyser (R)X100.007039867977889569257274915080762654770
14Dalton Prout (R)X100.009995547181728067255653885375814557730
15Ben Hutton (R)X100.006037937872798376257355855055554859710
16Xavier Ouellet (R)X100.006350746574778169256757836069634754690
17Alexey Marchenko (R)X100.006137957678728464255651805063634550680
18Nikita Zaitsev (R)X100.007042817374827656306751725464625553670
Rayé
1Nick Paul (R)X100.005035827086606163655562675054565220610
2Ivan Barbashev (R)X100.005135827966485665645862616156538719600
3Kevin Labanc (R)X100.004935738064516065316260608256538721600
4Austin Czarnik (R)X100.004635788255485963646058616062586320590
5Ondrej Kase (R)X100.005135767966485661325957557556528720580
6Vincent Hinostroza (R)X100.005035787757455562565859595958437920570
7Denis Malgin (R)X100.005035798058465161555358605952499520570
8Tyler Motte (R)X100.004935767360475559325056655656418720560
9Danton Heinen (R)X100.004735827570484659435653615656528720560
10Valentin Zykov (R)X100.005439716877474257305254625556408720550
11Riley Barber (R)X100.004735807169454458305155535558507920540
12Nikita Nesterov (R)X100.008252807671747966255752695072684719670
13Connor Carrick (R)X100.008672827471648873255656715058514918670
14Jake Dotchin (R)X100.007258546480675550305246704958477919600
15Troy Stecher (R)X100.005335828063706754306049615458557919600
16Matt Benning (R)X100.006443777372515649305349705158547919600
17Gustav Forsling (R)X100.004935817267455245304547615054509520550
MOYENNE D'ÉQUIPE100.00604479757062696542616170566260633464
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
1Connor Hellebuyck (R)100.00818188818092898697846168714953820
2Anton Forsberg (R)100.00727971777174757575714570674955720
Rayé
MOYENNE D'ÉQUIPE100.0077808079768382818678536969495477
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens71817281998875CAN5121,000,000$


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'ÉquipePOS GP 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
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


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 CONT StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alexey MarchenkoKings (LA )D241993-08-03 05:11:13Yes216 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm666,667$
Anders LeeKings (LA )LW261991-08-03 17:11:13No229 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$
Andrew CoppKings (LA )C231994-07-07 19:50:11Yes188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Anton Forsberg Kings (LA )LW251992-11-26 19:51:45Yes176 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$700,000$
Austin CzarnikKings (LA )C251992-12-12 09:09:24Yes160 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm675,000$675,000$675,000$
Ben HuttonKings (LA )D251993-04-20 19:55:29Yes183 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm896,000$896,000$
Connor BrownKings (LA )RW241994-01-14 07:19:38Yes160 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm894,000$894,000$
Connor CarrickKings (LA )D241994-04-13 07:33:19Yes185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm783,000$783,000$
Connor HellebuyckKings (LA )RW251993-05-18 07:13:13Yes185 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Cory ConacherKings (LA )C271990-08-03 11:11:13Yes185 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm1,500,000$
Dalton ProutKings (LA )D261991-08-03 17:11:13Yes223 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,075,000$
Danny DeKeyserKings (LA )D261991-08-03 17:11:13Yes194 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm3,000,000$3,000,000$3,000,000$
Danton HeinenKings (LA )C221995-07-05 09:18:29Yes185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm872,500$872,500$872,500$
Denis MalginKings (LA )LW211997-01-18 04:18:34Yes177 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm690,000$690,000$690,000$
Dominik SimonKings (LA )C231994-08-08 07:29:33Yes176 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Frank Vatrano Kings (LA )RW241994-03-14 19:56:56Yes215 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Gustav ForslingKings (LA )D211996-06-12 09:11:36Yes186 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm872,500$872,500$872,500$
Ivan BarbashevKings (LA )C221995-12-14 14:06:19Yes180 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm741,667$741,667$741,667$
Jake Dotchin Kings (LA )D241994-03-24 09:44:28Yes210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm812,500$812,500$812,500$
Kevin LabancKings (LA )LW221995-12-12 09:47:24Yes185 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm717,500$717,500$717,500$
Matt Benning Kings (LA )D231994-05-25 04:33:07Yes195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$
Nick PaulKings (LA )LW231995-03-20 07:21:55Yes203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm894,000$894,000$
Nikita NesterovKings (LA )D231994-08-03 11:11:13Yes186 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm742,500$
Nikita ZaitsevKings (LA )D261991-10-29 13:59:19Yes195 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,250,000$2,250,000$2,250,000$
Ondrej Kase Kings (LA )RW221995-11-08 04:05:45Yes180 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm670,000$670,000$670,000$
Patrick MaroonKings (LA )LW281989-08-03 05:11:13Yes231 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm575,000$
Riley BarberKings (LA )RW241994-02-07 09:24:16Yes193 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm692,500$692,500$692,500$
Tanner Kero Kings (LA )C251992-07-24 19:58:52Yes185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm667,000$667,000$
Tanner PearsonKings (LA )LW241993-08-03 05:11:13Yes202 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm735,833$
Tommy WingelsKings (LA )RW281989-08-03 05:11:13Yes202 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,200,000$1,200,000$
Troy StecherKings (LA )D231994-07-07 14:02:55Yes190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$
Tyler MotteKings (LA )C231995-03-10 09:15:51Yes188 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$
Valentin ZykovKings (LA )LW231995-05-15 09:22:24Yes224 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm705,000$705,000$705,000$
Viktor Arvidsson Kings (LA )RW251993-04-07 20:02:18Yes172 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm650,000$650,000$
Vincent HinostrozaKings (LA )C241994-04-03 09:14:16Yes173 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm717,500$717,500$717,500$
Xavier OuelletKings (LA )D231994-08-03 11:11:13Yes193 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm670,000$
Zach HymanKings (LA )C251992-06-09 07:23:56Yes197 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$900,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3724.08192 Lbs6 ft02.27957,856$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeCory ConacherTommy Wingels40122
2Tanner PearsonZach HymanViktor Arvidsson 30122
3Patrick MaroonAndrew CoppConnor Brown20122
4Cory ConacherTanner Kero Frank Vatrano 10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Danny DeKeyserDalton Prout40122
2Ben HuttonXavier Ouellet30122
3Alexey MarchenkoNikita Zaitsev20122
4Danny DeKeyserDalton Prout10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anders LeeCory ConacherTommy Wingels60122
2Tanner PearsonZach HymanViktor Arvidsson 40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Danny DeKeyserDalton Prout60122
2Ben HuttonXavier Ouellet40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cory ConacherAnders Lee60122
2Tanner PearsonTommy Wingels40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Danny DeKeyserDalton Prout60122
2Ben HuttonXavier Ouellet40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cory Conacher60122Danny DeKeyserDalton Prout60122
2Anders Lee40122Ben HuttonXavier Ouellet40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cory ConacherAnders Lee60122
2Tanner PearsonTommy Wingels40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Danny DeKeyserDalton Prout60122
2Ben HuttonXavier Ouellet40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeCory ConacherTommy WingelsDanny DeKeyserDalton Prout
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anders LeeCory ConacherTommy WingelsDanny DeKeyserDalton Prout
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dominik Simon, Patrick Maroon, Connor BrownDominik Simon, Patrick MaroonConnor Brown
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexey Marchenko, Nikita Zaitsev, Ben HuttonAlexey MarchenkoNikita Zaitsev, Ben Hutton
Tirs de Pénalité
Cory Conacher, Anders Lee, Tanner Pearson, Tommy Wingels, Viktor Arvidsson
Gardien
#1 : Connor Hellebuyck, #2 : Anton Forsberg


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4525
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,544,067$ 2,327,567$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
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