Round 10 · 2019 · 14 Jul

Silverstone Circuit

Silverstone, UK

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 614 earlier finishes across 36 races, 2009–2019. 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. Daniil Kvyat Toro Rosso · Elo #13 · Q17

    Expected P12.5 Finished P9

    +3.5places
  2. Carlos Sainz McLaren · Elo #8 · Q13

    Expected P9.3 Finished P6

    +3.3places
  3. George Russell Williams · Elo #20 · Q19

    Expected P15.4 Finished P14

    +1.4places

Flop 3

Below the estimate
  1. Sebastian Vettel Ferrari · Elo #3 · Q6

    Expected P4.6 Finished P16

    −11.4places
  2. Sergio Pérez Racing Point · Elo #9 · Q15

    Expected P10.4 Finished P17

    −6.6places
  3. Lando Norris McLaren · Elo #12 · Q8

    Expected P8.2 Finished P11

    −2.8places
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
L. HamiltonMercedes #12678 P2 P2.3P1–P6 P1 +1.3places In range
V. BottasMercedes #22557 P1 P2.1P1–P6 P2 +0.1places In range
C. LeclercFerrari #52318 P3 P3.9P1–P7 P3 +0.9places In range
P. GaslyRed Bull #62200 P5 P5.1P1–P9 P4 +1.1places In range
M. VerstappenRed Bull #42508 P4 P4.0P1–P8 P5 −1.0places In range
C. SainzMcLaren #82183 P13 P9.3P6–P13 P6 +3.3places In range
D. RicciardoRenault #102131 P7 P7.1P4–P11 P7 +0.1places In range
K. RäikkönenAlfa Romeo #72198 P12 P8.5P5–P12 P8 +0.5places In range
D. KvyatToro Rosso #132044 P17 P12.5P9–P16 P9 +3.5places In range
N. HülkenbergRenault #112081 P10 P8.8P5–P12 P10 −1.2places In range
L. NorrisMcLaren #122073 P8 P8.2P5–P12 P11 −2.8places In range
A. AlbonToro Rosso #152032 P9 P9.5P6–P13 P12 −2.5places In range
L. StrollRacing Point #142032 P18 P13.2P10–P17 P13 +0.2places In range
G. RussellWilliams #201912 P19 P15.4P12–P19 P14 +1.4places In range
R. KubicaWilliams #191940 P20 P15.6P12–P19 P15 +0.6places In range
S. VettelFerrari #32526 P6 P4.6P1–P8 P16 −11.4places Below range
S. PérezRacing Point #92135 P15 P10.4P7–P14 P17 −6.6places Below range
A. GiovinazziAlfa Romeo #171998 P11 P11.0P7–P15 DNFSpun off — Not assessedDNF: Spun off
R. GrosjeanHaas F1 Team #181988 P14 P12.6P9–P16 DNFCollision — Not assessedDNF: Collision
K. MagnussenHaas F1 Team #162004 P16 P12.9P9–P17 DNFCollision — Not assessedDNF: Collision
How useful is the model? See the historical check

Average absolute error on 614 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
2.16places
Qualifying only
2.36places
Elo only
2.71places

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

Gasly+34.9 Elo

Largest Elo loss

Vettel−75.3 Elo

Largest grid-to-finish gain

Kvyat+8 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 223pts 0
  2. 2 Bottas 184pts 0
  3. 3 Verstappen 136pts 0
  4. 4 Vettel 123pts 0
  5. 5 Leclerc 120pts 0

Movement since round 9. 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.

Ferrari

LeclercP3+26.4 Elo
VettelP16−75.3 Elo

13 places apart at the finish.

Q3 · Leclerc 0.615s faster

McLaren

SainzP6+24.7 Elo
NorrisP11+8.6 Elo

5 places apart at the finish.

Q2 · Norris 0.193s faster

Toro Rosso

KvyatP9+25.3 Elo
AlbonP12+8.1 Elo

3 places apart at the finish.

Q1 · Albon 0.239s faster

Williams

RussellP14+11.0 Elo
KubicaP15+1.3 Elo

1 place apart at the finish.

Q1 · Russell 0.468s 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 →