Round 3 · 2018 · 15 Apr

Shanghai International Circuit

Shanghai, China

Results & qualifying →

Race debrief

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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 612 earlier finishes across 36 races, 2008–2017. 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. Daniel Ricciardo Red Bull · Elo #8 · Q6

    Expected P6.1 Finished P1

    +5.1places
  2. Fernando Alonso McLaren · Elo #9 · Q13

    Expected P9.5 Finished P7

    +2.5places
  3. Nico Hülkenberg Renault · Elo #10 · Q7

    Expected P7.2 Finished P6

    +1.2places

Flop 3

Below the estimate
  1. Romain Grosjean Haas F1 Team · Elo #15 · Q10

    Expected P9.9 Finished P17

    −7.1places
  2. Sergio Pérez Force India · Elo #6 · Q8

    Expected P6.5 Finished P12

    −5.5places
  3. Sebastian Vettel Ferrari · Elo #3 · Q1

    Expected P2.5 Finished P8

    −5.5places
19/20 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
D. RicciardoRed Bull #82162 P6 P6.1P2–P10 P1 +5.1places Above range
V. BottasMercedes #22501 P3 P3.1P1–P7 P2 +1.1places In range
K. RäikkönenFerrari #42299 P2 P3.2P1–P7 P3 +0.2places In range
L. HamiltonMercedes #12606 P4 P3.3P1–P7 P4 −0.7places In range
M. VerstappenRed Bull #52258 P5 P4.8P1–P9 P5 −0.2places In range
N. HülkenbergRenault #102133 P7 P7.2P3–P11 P6 +1.2places In range
F. AlonsoMcLaren #92161 P13 P9.5P6–P13 P7 +2.5places In range
S. VettelFerrari #32489 P1 P2.5P1–P6 P8 −5.5places Below range
C. SainzRenault #132063 P9 P8.9P5–P13 P9 −0.1places In range
K. MagnussenHaas F1 Team #122076 P11 P9.5P6–P13 P10 −0.5places In range
E. OconForce India #72201 P12 P8.5P5–P12 P11 −2.5places In range
S. PérezForce India #62207 P8 P6.5P3–P10 P12 −5.5places Below range
S. VandoorneMcLaren #112100 P14 P10.5P7–P14 P13 −2.5places In range
L. StrollWilliams #142058 P18 P13.2P9–P17 P14 −0.8places In range
S. SirotkinWilliams #181960 P16 P13.4P10–P17 P15 −1.6places In range
M. EricssonSauber #201949 P20 P15.8P12–P20 P16 −0.2places In range
R. GrosjeanHaas F1 Team #152051 P10 P9.9P6–P14 P17 −7.1places Below range
P. GaslyToro Rosso #162050 P17 P13.3P10–P17 P18 −4.7places Below range
C. LeclercSauber #172018 P19 P14.5P11–P18 P19 −4.5places Below range
B. HartleyToro Rosso #191949 P15 P13.3P10–P17 DNFCollision damage — Not assessedDNF: Collision damage
How useful is the model? See the historical check

Average absolute error on 612 classified finishes in 36 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
2.24places
Qualifying only
2.44places
Elo only
2.79places

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 loss

Leclerc−33.6 Elo

Largest grid-to-finish gain

Alonso+6 places

The bigger picture

Championship after this round

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

  1. 1 Vettel 54pts 0
  2. 2 Hamilton 45pts 0
  3. 3 Bottas 40pts 0
  4. 4 Ricciardo 37pts +4
  5. 5 Räikkönen 30pts 0

Movement since round 2. 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.

Force India

OconP11−10.4 Elo
PérezP12−17.6 Elo

1 place apart at the finish.

Q2 · Pérez 0.126s faster

Williams

StrollP14−8.0 Elo
SirotkinP15−0.6 Elo

1 place apart at the finish.

Q1 · Sirotkin 0.223s faster

Sauber

EricssonP16−5.4 Elo
LeclercP19−33.6 Elo

3 places apart at the finish.

Q1 · Leclerc 0.460s faster

Toro Rosso

GaslyP18−32.0 Elo
HartleyDNF−30.7 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Hartley 0.088s 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 →