Motorsport Data & AI · 6 Hours of Fuji 2017 · Season 2017

6 Hours of Fuji 2017 — AI Data Analysis

Toyota wins the 6 Hours of Fuji 2017 with the #8 Toyota TS050 Hybrid. Pace order, reliability by class, lead changes and the closing phase in a data check.

#8Winner · Toyota
113Laps led
26Cars total
5 hanalyzed

Winning crew · #8 Toyota Gazoo RacingSébastien Buemi · Anthony Davidson · Kazuki Nakajima

Toyota won the 6 Hours of Fuji 2017 at Fuji Speedway. The #8 Toyota TS050 Hybrid of Toyota Gazoo Racing covered 113 laps over 4h 25m, a race distance of 516 km. The winning crew: Sébastien Buemi, Anthony Davidson and Kazuki Nakajima. The margin to second place was just 1.498 s. The quickest manufacturer over one lap was Porsche — but the win went to Toyota. Pace and result do not always match.

The race did not go the full distance: the flag came out after 4h 25m instead of the scheduled 6 hours. Distance and average speed below reflect that shortened race.

How the Lead Was Won

Across the race we counted 1 lead change among 2 different cars in the LMP1 class. At the closest point, first and second were only 1.0 s apart. For 4 of 5 measured hours the gap stayed under 30 seconds.

That is a real head-to-head fight, not a comfortable lead.

Gap between first and second in the LMP1 class, hour by hour. Peaks mark pit stops, safety cars and incidents.
Figure 1 — Gap between first and second in the LMP1 class, hour by hour. Peaks mark pit stops, safety cars and incidents.

Figure 1 shows how that gap moved over the distance.

Manufacturer Pace

We rank pace by the average of each manufacturer’s fastest lap. That measures real speed over the distance instead of one lucky lap. The order at the top: Porsche (167.5 km/h), Toyota (166.9 km/h).

Between the fastest and the slowest manufacturer in the LMP1 class lie 0.6 km/h. That is a tight field — the balance of performance is doing its job.

Average fastest lap speed per manufacturer in the LMP1 class. Higher is faster.
Figure 2 — Average fastest lap speed per manufacturer in the LMP1 class. Higher is faster.

Figure 2 sets the pace order side by side.

Reliability by Class

2 of 26 cars did not make the finish — an overall retirement rate of 8%. The heaviest toll fell on LMP2 with 22%, while LMGTE Am came through best at 0%.

Over this distance, reliability is a result in itself. A car that stops scores nothing, no matter how fast it was.

Retirement rate per class, with the number of entries behind each bar.
Figure 3 — Retirement rate per class, with the number of entries behind each bar.

Figure 3 compares the classes directly.

Efficiency Over the Distance

Our efficiency score multiplies average lap speed by laps completed and compares that to the class average. It rewards cars that were fast and stayed out of trouble. A value of 1.000 is exactly class average.

The top score goes to #8 Toyota with 1.004. That is the winning car — speed and durability came from the same package.

Efficiency score per car: average lap speed times laps, normalized to the class average.
Figure 4 — Efficiency score per car: average lap speed times laps, normalized to the class average.

Figure 4 ranks the cars by that score.

Fastest Lap and Class Gaps

The fastest single lap of the race belongs to #2 Porsche (Porsche LMP Team): 1:37.702 at 168.1 km/h. Crew: Timo Bernhard, Earl Bamber and Brendon Hartley.

Between LMP1 and LMP2 sits a pace gap of 8.2 s per lap. That number decides how much traffic the leaders have to work through.

Class winners — LMP1: #8 Toyota (Toyota Gazoo Racing), LMP2: #31 Oreca (Vaillante Rebellion), LMGTE Pro: #51 Ferrari (Ferrari AF Corse), LMGTE Am: #54 Ferrari (Spirit of Race).

Putting the Race in Context

The winner averaged 116.8 km/h across 516 km. On a 4.563 km lap, that is the pace the whole strategy had to sustain.

We calculate the same metrics for every race in the archive: pace order, reliability by class, lead changes, winning margin, closing stability and efficiency. That makes this race directly comparable with every other round of the 2017 season — and with the seasons before it.

All figures are derived from the full classification of every race hour and are recalculated with each build.

Overall result LMP1

Full final classification of the top class after 5 hours — car, driver crew, laps, gap, fastest race lap and average pace.

Overall result
PosNoManufacturer / CarTeam & DriversLapsGapFastest lapØ FL km/h
1#8ToyotaToyotaToyota TS050 HybridToyota Gazoo RacingSébastien Buemi · Anthony Davidson · Kazuki Nakajima1131:38.070167.5
2#7ToyotaToyotaToyota TS050 HybridToyota Gazoo RacingMike Conway · Kamui Kobayashi · Jose Maria Lopez113+1.4981:38.747166.4
3#1PorschePorschePorsche 919 HybridPorsche LMP TeamNeel Jani · André Lotterer · Nick Tandy113+2.2721:38.444166.9
4#2PorschePorschePorsche 919 HybridPorsche LMP TeamTimo Bernhard · Earl Bamber · Brendon Hartley112+1 Laps1:37.702168.1

Season context: the full 2017 WEC season in data · all-time WEC records

Class winners in detail

The winners of each class with overall position, car, crew and fastest lap.

Class winners in detail
ClassOverallNoManufacturer / CarTeam & DriversLapsFastest lap
LMP1P1#8ToyotaToyotaToyota TS050 HybridToyota Gazoo RacingSébastien Buemi · Anthony Davidson · Kazuki Nakajima1131:38.070
LMP2P5#31OrecaOreca 07Vaillante RebellionJulien Canal · Nicolas Prost · Bruno Senna1101:45.981
LMGTE ProP11#51FerrariFerrariFerrari 488 GTEFerrari AF CorseJames Calado · Alessandro Pier Guidi1091:49.227
LMGTE AmP19#54FerrariFerrariFerrari 488 GTESpirit of RaceThomas Flohr · Francesco Castellacci · Miguel Molina1071:51.069

Manufacturer pace

Average of the fastest lap speed per manufacturer. It measures real pace over the distance, not a single outlier.

Porsche
167.5
Toyota
166.95

Reliability by class

Retirement rate per class — the toughest filter of a long-distance race.

LMGTE Am
0% · n5
LMGTE Pro
0% · n8
LMP1
0% · n4
LMP2
22.2% · n9

Lap efficiency score

(avg FL km/h × laps) normalized to the class mean. It combines pace, distance and durability in one number — 1.000 = class mean.

#8 Toyota
1.004
#1 Porsche
1.000
#2 Porsche
0.999
#7 Toyota
0.997

Race dynamics compared

The same metrics for every race — so Le Mans is directly comparable with Daytona, and year with year.

1Lead changes (2 leaders)
1.498Winning margin over P2
8.2 sPace delta LMP1 → LMP2
LMP1top class analyzed
1.0 sClosest lead gap
4/5Hours inside 30 s
516 kmWinning distance
116.8Average speed km/h
210Position changes total
70Drivers in the field

Fastest race lap

The quickest single lap of the whole race — peak pace, not race pace.

1:37.702 · 168.1 km/h — #2 Porsche, Porsche LMP Team (LMP1)
Timo Bernhard · Earl Bamber · Brendon Hartley

Steadiest cars

Laps per hour and their spread. A low spread means few stops, few incidents, a clean rhythm.

NoManufacturerLaps/hSpread
#2Porsche22.67±6.94
#1Porsche23±7.26
#8Toyota23±7.26
#7Toyota23±7.26

WEC record at this circuit

The World Endurance Championship has raced here 12 times in the seasons we analyze, and Toyota has won most often (9). Every entry links to the full data analysis of that race.

Fastest lap on record
1:24.645 · 194.1 km/h
#8 Audi, Audi Sport Team Joest (2016)
Highest race average
185.2 km/h
Toyota (2016)
Seasons
2012, 2013, 2014, 2015, 2016, 2017, 2018-2019, 2019-2020, 2022, 2023, 2024, 2025
WEC races at this circuit
YearRaceWinnerDistanceCars
20256 Hours of Fuji#35 Alpine
Alpine Endurance Team
922 km36
20246 Hours of Fuji#6 Porsche
Porsche Penske Motorsport
972 km36
20236 Hours of Fuji#7 Toyota
Toyota Gazoo Racing
1,045 km36
20226 Hours of Fuji#8 Toyota
Toyota Gazoo Racing
1,059 km36
20196 Hours of Fuji#8 Toyota
Toyota Gazoo Racing
1,059 km30
20186 Hours of Fuji#7 Toyota
Toyota Gazoo Racing
1,050 km34
20176 Hours of Fuji#8 Toyota
Toyota Gazoo Racing
516 km26
20166 Hours of Fuji#6 Toyota
Toyota Gazoo Racing
1,113 km32
20156 Hours of Fuji#17 Porsche
Porsche Team
986 km31
20146 Hours of Fuji#8 Toyota
Toyota Gazoo Racing
1,077 km27
20136 Hours of Fuji#7 Toyota
Toyota Gazoo Racing
73 km29
20126 Hours of Fuji#7 Toyota
Toyota Gazoo Racing
1,063 km27

All-time WEC records · every WEC season in data