Motorsport Data & AI · 4 Hours of Shanghai 2019 · Season 2019-2020

4 Hours of Shanghai 2019 — AI Data Analysis

Rebellion wins the 4 Hours of Shanghai 2019 with the #1 Rebellion R13. Pace order, reliability by class, lead changes and the closing phase in a data check.

#1Winner · Rebellion
125Laps led
31Cars total
4 hanalyzed

Winning crew · #1 Rebellion RacingBruno Senna · Gustavo Menezes · Norman Nato

Rebellion won the 4 Hours of Shanghai 2019 at Shanghai International Circuit. The #1 Rebellion R13 of Rebellion Racing covered 125 laps over 4 hours, a race distance of 681 km. The winning crew: Bruno Senna, Gustavo Menezes and Norman Nato. The margin to second place was 0 laps — a clear, controlled win. The quickest manufacturer over one lap was Ginetta — but the win went to Rebellion. Pace and result do not always match.

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 0.9 s apart. For 1 of 3 measured hours the gap stayed under 30 seconds.

The leader was never fully out of reach, but the pressure came in waves rather than all race long.

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: Ginetta (180.3 km/h), Rebellion (178.9 km/h), Toyota (178.0 km/h).

Between the fastest and the slowest manufacturer in the LMP1 class lie 2.3 km/h. That is a wide spread. At this track, the concept differences show clearly.

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

1 of 31 cars did not make the finish — an overall retirement rate of 3%. The heaviest toll fell on LMP2 with 12%, 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 #1 Rebellion with 1.005. 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.

The Closing Phase

In the final hour, 84% of the field held position within ±1 place (n = 31). Most of the order was set, but a few fights ran to the end. The biggest single move came from #77 Porsche, 4 places back.

Share of cars that changed position by no more than one place in the final hour.
Figure 5 — Share of cars that changed position by no more than one place in the final hour.

Figure 5 shows how settled the finish really was.

Fastest Lap and Class Gaps

The fastest single lap of the race belongs to #6 Ginetta (Team LNT): 1:48.428 at 181.0 km/h. Crew: Charlie Robertson, Michael Simpson and Guy Smith.

Between LMP1 and LMP2 sits a pace gap of 3.7 s per lap. That number decides how much traffic the leaders have to work through.

Class winners — LMP1: #1 Rebellion (Rebellion Racing), LMP2: #38 Oreca (JOTA), LMGTE Pro: #51 Ferrari (Ferrari AF Corse), LMGTE Am: #90 Aston Martin (TF Sport).

Putting the Race in Context

The winner averaged 169.7 km/h across 681 km. On a 5.451 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 2019-2020 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 4 hours — car, driver crew, laps, gap, fastest race lap and average pace.

Overall result
PosNoManufacturer / CarTeam & DriversLapsGapFastest lapØ FL km/h
1#1RebellionRebellion R13Rebellion RacingBruno Senna · Gustavo Menezes · Norman Nato1251:49.701178.9
2#8ToyotaToyotaToyota TS050 HybridToyota Gazoo RacingSébastien Buemi · Kazuki Nakajima · Brendon Hartley125+1'06.9841:50.330177.9
3#7ToyotaToyotaToyota TS050 HybridToyota Gazoo RacingMike Conway · Kamui Kobayashi · Jose Maria Lopez124+1 Laps1:50.159178.1
4#5GinettaGinetta G60-LT-P1Team LNTJordan King · Ben Hanley · Egor Orudzhev124+1 Laps1:49.235179.6
5#6GinettaGinetta G60-LT-P1Team LNTCharlie Robertson · Michael Simpson · Guy Smith123+2 Laps1:48.428181

Season context: the full 2019-2020 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#1RebellionRebellion R13Rebellion RacingBruno Senna · Gustavo Menezes · Norman Nato1251:49.701
LMP2P6#38OrecaOreca 07JOTARoberto Gonzalez · Antonio Felix da Costa · Anthony Davidson1211:52.626
LMGTE ProP13#51FerrariFerrariFerrari 488 GTE EvoFerrari AF CorseJames Calado · Alessandro Pier Guidi1152:01.607
LMGTE AmP19#90Aston MartinAston MartinAston Martin Vantage AMRTF SportSalih Yoluc · Charles Eastwood · Jonathan Adam1132:02.744

Manufacturer pace

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

Ginetta
180.3
Rebellion
178.9
Toyota
178

Reliability by class

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

LMGTE Am
0% · n12
LMGTE Pro
0% · n6
LMP1
0% · n5
LMP2
12.5% · n8

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.

#1 Rebellion
1.005
#5 Ginetta
1.001
#6 Ginetta
1.001
#8 Toyota
1.000
#7 Toyota
0.993

Position stability, final hour

Share of cars that held their position within ±1 in the final hour (n=31).

84%

Mostly stable, but some late position battles.

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)
1'06.984Winning margin over P2
3.7 sPace delta LMP1 → LMP2
LMP1top class analyzed
0.9 sClosest lead gap
1/3Hours inside 30 s
681 kmWinning distance
169.7Average speed km/h
132Position changes total
87Drivers in the field

Fastest race lap

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

1:48.428 · 181 km/h — #6 Ginetta, Team LNT (LMP1)
Charlie Robertson · Michael Simpson · Guy Smith

Steadiest cars

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

NoManufacturerLaps/hSpread
#7Toyota30.67±0.47
#6Ginetta30.33±0.47
#8Toyota31±0.82
#1Rebellion31±0.82
#5Ginetta30.67±1.25

WEC record at this circuit

The World Endurance Championship has raced here 8 times in the seasons we analyze, and Toyota has won most often (5). 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
221.3 km/h
Toyota (2016)
Seasons
2012, 2013, 2014, 2015, 2016, 2017, 2018-2019, 2019-2020
WEC races at this circuit
YearRaceWinnerDistanceCars
20194 Hours of Shanghai#1 Rebellion
Rebellion Racing
681 km31
20186 Hours of Shanghai#7 Toyota
Toyota Gazoo Racing
616 km35
20176 Hours of Shanghai#8 Toyota
Toyota Gazoo Racing
1,063 km26
20166 Hours of Shanghai#6 Toyota
Toyota Gazoo Racing
1,330 km32
20156 Hours of Shanghai#17 Porsche
Porsche Team
921 km31
20146 Hours of Shanghai#8 Toyota
Toyota Gazoo Racing
1,025 km27
20136 Hours of Shanghai#1 Audi
Audi Sport Team Joest
1,036 km28
20126 Hours of Shanghai#7 Toyota
Toyota Gazoo Racing
1,041 km28

All-time WEC records · every WEC season in data