Round 5 · 2024 · 21 Apr

Shanghai International Circuit

Shanghai, China

Results & qualifying →

Race debrief

Share this debrief
Elo × qualifying → race result

Did they beat the expectation?

Experimental · v1
Model & data

A strong driver recovering from a poor qualifying position isn't automatically a surprise. This model estimates a finish from both pre-race Elo and qualifying, then compares it with what happened.

Expected finish assumes a classified finish. DNFs stay in the full grid but receive no performance verdict. Qualifying is not the starting grid; grid differences are flagged, not silently substituted.

Fit on 610 earlier finishes across 37 races, 2014–2023. No results from this race enter its expectation.

20 stored results 20/20 Elo snapshots 20/20 numbered grid slots 20/20 qualifying results

Missing Elo or qualifying stays visible in the full grid. A grid position is not used as a qualifying result.

Top 3

Beat the estimate
  1. Lewis Hamilton Mercedes · Elo #9 · Q18

    Expected P11.8 Finished P9

    +2.8places
  2. Lando Norris McLaren · Elo #4 · Q4

    Expected P4.0 Finished P2

    +2.0places
  3. George Russell Mercedes · Elo #7 · Q8

    Expected P6.8 Finished P6

    +0.8places

Flop 3

Below the estimate
  1. Lance Stroll Aston Martin · Elo #10 · Q11

    Expected P9.1 Finished P15

    −5.9places
  2. Fernando Alonso Aston Martin · Elo #6 · Q3

    Expected P4.3 Finished P7

    −2.7places
  3. Oscar Piastri McLaren · Elo #8 · Q5

    Expected P5.8 Finished P8

    −2.2places
17/20 entrants assessed. DNFs excluded. How we rank

Up to three per side, ranked by expected minus actual finish. DNFs, missing estimates and gaps rounding to 0.0 are excluded. “Flop” means below the model's estimate—not poor driving. A ranked gap can still be inside the usual error range.

Full grid: pre-race Elo rank, qualifying position, estimated finish, actual result and difference from expectation. Positive differences mean finishing ahead of the estimate.
DriverPre-race EloQualifyingExpectedResultP1 ← position → P20vs expectedReading
M. VerstappenRed Bull #12654 P1 P1.7P1–P5 P1 +0.7places In range
L. NorrisMcLaren #42371 P4 P4.0P1–P8 P2 +2.0places In range
S. PérezRed Bull #22429 P2 P2.5P1–P6 P3 −0.5places In range
C. LeclercFerrari #32392 P6 P4.6P1–P8 P4 +0.6places In range
C. SainzFerrari #52358 P7 P5.7P2–P9 P5 +0.7places In range
G. RussellMercedes #72275 P8 P6.8P3–P10 P6 +0.8places In range
F. AlonsoAston Martin #62291 P3 P4.3P1–P8 P7 −2.7places In range
O. PiastriMcLaren #82273 P5 P5.8P2–P9 P8 −2.2places In range
L. HamiltonMercedes #92246 P18 P11.8P8–P16 P9 +2.8places In range
N. HülkenbergHaas F1 Team #142052 P9 P9.6P6–P13 P10 −0.4places In range
E. OconAlpine F1 Team #122072 P13 P10.7P7–P14 P11 −0.3places In range
A. AlbonWilliams #152048 P14 P12.1P8–P16 P12 +0.1places In range
P. GaslyAlpine F1 Team #132061 P15 P11.9P8–P16 P13 −1.1places In range
G. ZhouSauber #191972 P16 P14.3P11–P18 P14 +0.3places In range
L. StrollAston Martin #102147 P11 P9.1P5–P13 P15 −5.9places Below range
K. MagnussenHaas F1 Team #172015 P17 P14.1P10–P18 P16 −1.9places In range
L. SargeantWilliams #201931 P20 P16.4P13–P20 P17 −0.6places In range
D. RicciardoRB F1 Team #162038 P12 P11.6P8–P15 DNFRetired — Not assessedDNF: Retired
Y. TsunodaRB F1 Team #112099 P19 P12.9P9–P17 DNFRetired — Not assessedDNF: Retired
V. BottasSauber #181982 P10 P11.4P8–P15 DNFRetired — Not assessedDNF: Retired
How useful is the model? See the historical check

Average absolute error on 610 classified finishes in 37 earlier races within the last ten years. Each race was held out and predicted using only older races; all three models use the same samples.

Elo + qualifying
2.06places
Qualifying only
2.28places
Elo only
2.51places

The range scales the 80th percentile of earlier held-out absolute errors to this field size, rounding outward. It is an empirical error guide, not a guaranteed 80% chance for a particular driver. We require at least five checked races and 100 checked finishes before showing it.

Inputs are field-normalised Elo rank and qualifying position. The target is position among all race entries, trained only on classified finishers. Estimates are averages, not a unique predicted finishing order. Penalties, the circuit, weather, incidents and strategy aren't model inputs. Historical qualifying coverage is patchy; this is an exploratory backtest on corrected records, not proof of live forecasting accuracy.

The rating ledger

What changed in Elo?

These are actual rating changes. The expectation model above does not change Elo or fantasy scoring.

Largest Elo gain

Norris+23.8 Elo

Largest Elo loss

Tsunoda−36.8 Elo

Largest grid-to-finish gain

Hamilton+9 places

The bigger picture

Championship after this round

Top five in the stored standings. Points include sprint results where applicable.

  1. 1 Verstappen 110pts 0
  2. 2 Pérez 85pts 0
  3. 3 Leclerc 76pts 0
  4. 4 Sainz 69pts 0
  5. 5 Norris 58pts 0

Movement since round 4. A dash means the earlier standing is unavailable.

Explore the season →
Across the garage

Teammate results

Two-driver constructor entries from this race. A result comparison, not an adjustment for strategy or reliability.

McLaren

NorrisP2+23.8 Elo
PiastriP8+1.8 Elo

6 places apart at the finish.

Q3 · Norris 0.108s faster

Ferrari

LeclercP4+10.7 Elo
SainzP5+8.7 Elo

1 place apart at the finish.

Q3 · Leclerc 0.008s faster

Williams

AlbonP12+8.0 Elo
SargeantP17−6.6 Elo

5 places apart at the finish.

Q1 · Albon 0.974s faster

Sauber

ZhouP14+5.7 Elo
BottasDNF−28.4 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Bottas 0.336s faster

RB F1 Team

RicciardoDNF−23.9 Elo
TsunodaDNF−36.8 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ricciardo 0.303s faster

What this analysis can—and cannot—tell you

This debrief is calculated from stored results and rating snapshots. The experimental expectation model learns from earlier races only, using Elo rank and qualifying together; it never feeds back into Elo. It is not a separately reviewed race report.

Elo uses the result order, including retirements. It does not isolate driver skill from the car, reliability, penalties or strategy. Elo seed comparisons use pre-race ratings, never today's ratings. Equal ratings share the midpoint of their rank range (for example, tied first and second become seed 1.5).

Grid gains use numbered starting slots and classified finishes only. Zero or missing grid values are excluded; a position gained is not necessarily an overtake. Qualifying gaps use the latest segment both teammates have a valid time for, never Q1 against Q3.

Lap-by-lap pace, tyre stints, pit-stop execution and safety-car effects are not available in this report. Missing data is omitted, not inferred.

Read the Elo methodology →