Barracuda

GP: 7 | W: 7 | L: 0 | OTL: 0 | P: 14
GF: 28 | GA: 9 | PP%: 21.05% | PK%: 85.19%
DG: Jean-Sebastien Champagne | Morale : 61 | Moyenne d'Équipe : 62
Prochain matchs #116 vs Roadrunners
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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
1Kevin LabancXX100.006039817269769571537867586967685260670
2Filip ChytilX100.005636916882758866786564676560628463650
3Jeremy BraccoX100.005436926558949564796961586463626763640
4Jakob Forsbacka KarlssonX100.005935936774756265736662646365647363630
5Gabriel DumontX100.005440786267918761686256595877745663620
6Jayson MegnaX100.006237886076949259625857595877695663620
7Scott WilsonX100.008436916370736162546159645873675063620
8Zack MitchellX100.006237875877928857615656585371665963610
9Logan Brown (R)X100.006536925896806957625956605461638563600
10Colby CaveX100.006638895677746855735754635269665163590
11Kieffer Bellows (R)X100.006242755876949356585253545862638163590
12Graham KnottX100.006737895483918653565351565263626363580
13Caleb HerbertX100.006138845871706757625654586267635363580
14Korbinian HolzerX100.008037896087786659306458734879715463670
15Jaycob MegnaX100.005638915997816458305752714973675563640
16Tim HeedX100.005437896468776163307359625175684863620
17Joey LaleggiaX100.005337896066949259306055544873675863610
18Anthony BitettoX100.007938815879715257305952564677694063600
19Ryan MurphyX100.005235936069826959306253574671668163600
Rayé
MOYENNE D'ÉQUIPE100.00623787617682776054615761557066616362
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
1Jon Gillies100.00718078977069717069717069735163720
2Michael Dipietro (R)100.00646563746362646362646360637863630
Rayé
MOYENNE D'ÉQUIPE100.0068737186676668676668676568656368
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher76717978716678CAN474100,000$


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
1Filip ChytilBarracuda (San)C74487209527101614.81%016323.350116110000161088.89%1800010.9800000102
2Jakob Forsbacka KarlssonBarracuda (San)C735834058329169.38%013419.261237140001251073.13%6700001.1900000102
3Tim HeedBarracuda (San)D726884048113718.18%717324.75101511000018000.00%000000.9200000011
4Kevin LabancBarracuda (San)LW/RW7347620151626111811.54%017024.370003120000241067.42%13200000.8200000101
5Jeremy BraccoBarracuda (San)RW734750054266811.54%114620.87011316000000177.78%900000.9600000020
6Jaycob MegnaBarracuda (San)D71564002293311.11%917224.71112414000024000.00%000000.6900000010
7Gabriel DumontBarracuda (San)C72353601231651312.50%010915.66022116000001187.50%800000.9100000100
8Scott WilsonBarracuda (San)LW7235620105217129.52%38712.4900010000091133.33%300001.1400000010
9Korbinian HolzerBarracuda (San)D713448015564416.67%517324.80011213000019000.00%000000.4600000100
10Joey LaleggiaBarracuda (San)D71345409374314.29%412818.2910121400003000.00%000000.6200000000
11Jayson MegnaBarracuda (San)C72241220415236178.70%019427.780002120001171071.52%15100000.4100000010
12Ryan MurphyBarracuda (San)D7044600012210.00%59413.4800000000123000.00%000000.8500000000
13Logan BrownBarracuda (San)C71233602793711.11%0659.3200000000000069.81%5300000.9211000000
14Zack MitchellBarracuda (San)RW712366036155136.67%09313.4000000000000069.23%1300000.6401000100
15Anthony BitettoBarracuda (San)D711288012181112.50%010414.900001300009000.00%000000.3800000000
16Colby CaveBarracuda (San)C70001203284120.00%0507.2400002000030066.67%900000.0000000000
17Kieffer BellowsBarracuda (San)LW7000000000000.00%010.230000000001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne11927517887560110912468315110.98%34206417.3548123714500031986371.06%46300010.7612000666
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
1Jon GilliesBarracuda (San)77000.9221.274252191160001.000370000
Stats d'équipe Total ou en Moyenne77000.9221.274252191160001.000370000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anthony BitettoBarracuda (San)D281990-07-15No210 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Caleb HerbertBarracuda (San)C271991-10-12No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Colby CaveBarracuda (San)C241994-12-26No200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Filip ChytilBarracuda (San)C191999-09-05No208 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Gabriel DumontBarracuda (San)C281990-10-06No190 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Graham KnottBarracuda (San)C221997-01-13No199 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Jakob Forsbacka KarlssonBarracuda (San)C221996-10-31No184 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$NoLien
Jaycob MegnaBarracuda (San)D261992-12-10No221 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Jayson MegnaBarracuda (San)C291990-02-01No195 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Jeremy BraccoBarracuda (San)RW221997-03-17No181 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Joey LaleggiaBarracuda (San)D271992-06-24No182 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Jon GilliesBarracuda (San)G251994-01-22No223 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Kevin LabancBarracuda (San)LW/RW231995-12-12No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Kieffer BellowsBarracuda (San)LW211998-06-10Yes195 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Korbinian HolzerBarracuda (San)D311988-02-16No218 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Logan BrownBarracuda (San)C211998-03-05Yes220 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Michael DipietroBarracuda (San)G201999-06-09Yes200 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Ryan MurphyBarracuda (San)D261993-03-31No181 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Scott WilsonBarracuda (San)LW271992-04-24No186 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Tim HeedBarracuda (San)D281991-01-27No180 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Zack MitchellBarracuda (San)RW261993-01-07No196 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.86197 Lbs6 ft12.62523,810$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ChytilKevin LabancJeremy Bracco40122
2Jakob Forsbacka KarlssonJayson MegnaGabriel Dumont30122
3Scott WilsonJayson MegnaZack Mitchell20122
4Jayson MegnaLogan BrownColby Cave10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerJaycob Megna40122
2Tim HeedJoey Laleggia30122
3Tim HeedAnthony Bitetto20122
4Tim HeedRyan Murphy10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip ChytilKevin LabancJayson Megna60122
2Jeremy BraccoJakob Forsbacka KarlssonGabriel Dumont40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerJaycob Megna60122
2Tim HeedJoey Laleggia40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jakob Forsbacka KarlssonKevin Labanc60122
2Filip ChytilJayson Megna40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaycob MegnaKorbinian Holzer60122
2Ryan MurphyTim Heed40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jayson Megna60122Jaycob MegnaAnthony Bitetto60122
2Scott Wilson40122Korbinian HolzerTim Heed40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jayson MegnaFilip Chytil60122
2Kevin LabancJakob Forsbacka Karlsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerJoey Laleggia60122
2Tim HeedJaycob Megna40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ChytilKevin LabancJakob Forsbacka KarlssonKorbinian HolzerJaycob Megna
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ChytilKevin LabancJakob Forsbacka KarlssonKorbinian HolzerJaycob Megna
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zack Mitchell, Logan Brown, Jayson MegnaJayson Megna, Colby CaveJayson Megna
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Murphy, Anthony Bitetto, Tim HeedTim HeedKorbinian Holzer, Tim Heed
Tirs de Pénalité
Zack Mitchell, Logan Brown, Jayson Megna, Colby Cave, Kevin Labanc
Gardien
#1 : Jon Gillies, #2 : Michael Dipietro


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
1Bruins10000010211100000102110000000000021.000224001051123392678361341219700.00%5180.00%015220972.73%11216368.71%658873.86%229174115398046
2Moose11000000321000000000001100000032121.000369001051123092678362376132150.00%3166.67%015220972.73%11216368.71%658873.86%229174115398046
3Reign2200000013310110000007251100000061541.00013243700105112103926783637916394250.00%7185.71%015220972.73%11216368.71%658873.86%229174115398046
4Roadrunners11000000321110000003210000000000021.000369001051121992678362081215200.00%6183.33%015220972.73%11216368.71%658873.86%229174115398046
5Senators10001000211000000000001000100021121.00024600105112149267836951011000.00%50100.00%015220972.73%11216368.71%658873.86%229174115398046
6Thunderbirds11000000505110000005050000000000021.0005914011051124792678361412134125.00%10100.00%015220972.73%11216368.71%658873.86%229174115398046
Total75001010289194300001017512320010001147141.000285179011051122469267836116345811019421.05%27485.19%015220972.73%11216368.71%658873.86%229174115398046
_Since Last GM Reset75001010289194300001017512320010001147141.000285179011051122469267836116345811019421.05%27485.19%015220972.73%11216368.71%658873.86%229174115398046
_Vs Conference6400101023914320000101257320010001147121.00023426500105112199926783610233569715320.00%26484.62%015220972.73%11216368.71%658873.86%229174115398046

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
714W1285179246116345811001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7501010289
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4300010175
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3201000114
Derniers 10 Matchs
WLOTWOTL SOWSOL
501010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
19421.05%27485.19%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
9267836105112
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
15220972.73%11216368.71%658873.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
229174115398046


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
1 - 2019-09-024Barracuda2Senators1WXSommaire du Match
3 - 2019-09-0419Reign2Barracuda7WSommaire du Match
5 - 2019-09-0639Barracuda6Reign1WSommaire du Match
6 - 2019-09-0748Barracuda3Moose2WSommaire du Match
8 - 2019-09-0958Thunderbirds0Barracuda5WSommaire du Match
10 - 2019-09-1179Bruins1Barracuda2WXXSommaire du Match
13 - 2019-09-14103Roadrunners2Barracuda3WSommaire du Match
15 - 2019-09-16116Barracuda-Roadrunners-
16 - 2019-09-17125Barracuda-Bruins-
18 - 2019-09-19148Moose-Barracuda-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 110,000$ 31,050$ 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$ 7 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