Round 16 · 2019 · 29 Sep

Sochi Autodrom

Sochi, Russia

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 617 earlier finishes across 36 races, 2010–2019. No results from this race enter its expectation.

20 stored results 20/20 Elo snapshots 19/20 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. Alexander Albon Red Bull · Elo #7 · Q19

    Expected P11.6 Finished P5

    +6.6places
  2. Kevin Magnussen Haas F1 Team · Elo #18 · Q14

    Expected P12.7 Finished P9

    +3.7places
  3. Sergio Pérez Racing Point · Elo #13 · Q12

    Expected P10.3 Finished P7

    +3.3places

Flop 3

Below the estimate
  1. Pierre Gasly Toro Rosso · Elo #6 · Q11

    Expected P7.8 Finished P14

    −6.2places
  2. Nico Hülkenberg Renault · Elo #8 · Q7

    Expected P6.6 Finished P10

    −3.4places
  3. Antonio Giovinazzi Alfa Romeo · Elo #16 · Q13

    Expected P11.6 Finished P15

    −3.4places
15/20 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 #12646 P2 P2.3P1–P6 P1 +1.3places In range
V. BottasMercedes #22493 P5 Grid P4 P3.9P1–P8 P2 +1.9places In range
C. LeclercFerrari #52406 P1 P3.1P1–P7 P3 +0.1places In range
M. VerstappenRed Bull #42431 P4 Grid P9 P4.1P1–P8 P4 +0.1places In range
A. AlbonRed Bull #72201 P19 Grid unnumbered P11.6P8–P15 P5 +6.6places Above range
C. SainzMcLaren #102124 P6 Grid P5 P6.8P3–P10 P6 +0.8places In range
S. PérezRacing Point #132084 P12 Grid P11 P10.3P7–P14 P7 +3.3places In range
L. NorrisMcLaren #92128 P8 Grid P7 P7.3P4–P11 P8 −0.7places In range
K. MagnussenHaas F1 Team #181981 P14 Grid P13 P12.7P9–P16 P9 +3.7places In range
N. HülkenbergRenault #82157 P7 Grid P6 P6.6P3–P10 P10 −3.4places In range
L. StrollRacing Point #142078 P15 Grid P14 P11.9P8–P16 P11 +0.9places In range
D. KvyatToro Rosso #152069 P20 Grid P19 P14.4P11–P18 P12 +2.4places In range
K. RäikkönenAlfa Romeo #122096 P16 Grid P15 P11.8P8–P15 P13 −1.2places In range
P. GaslyToro Rosso #62222 P11 Grid P16 P7.8P4–P11 P14 −6.2places Below range
A. GiovinazziAlfa Romeo #162011 P13 Grid P12 P11.6P8–P15 P15 −3.4places In range
R. KubicaWilliams #201924 P18 P15.0P11–P19 DNFBrakes — Not assessedDNF: Brakes
G. RussellWilliams #191925 P17 P14.3P11–P18 DNFBrakes — Not assessedDNF: Brakes
S. VettelFerrari #32455 P3 P3.3P1–P7 DNFPower loss — Not assessedDNF: Power loss
D. RicciardoRenault #112114 P10 P8.8P5–P12 DNFCollision — Not assessedDNF: Collision
R. GrosjeanHaas F1 Team #171995 P9 Grid P8 P10.2P7–P14 DNFCollision — Not assessedDNF: Collision
How useful is the model? See the historical check

Average absolute error on 617 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
2.37places
Elo only
2.68places

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

Vettel−82.9 Elo

Largest grid-to-finish gain

Kvyat+7 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 322pts 0
  2. 2 Bottas 249pts 0
  3. 3 Leclerc 215pts 0
  4. 4 Verstappen 212pts 0
  5. 5 Vettel 194pts 0

Movement since round 15. 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+16.5 Elo
VettelDNF−82.9 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Leclerc 0.425s faster

McLaren

SainzP6+33.9 Elo
NorrisP8+20.8 Elo

2 places apart at the finish.

Q3 · Sainz 0.079s faster

Renault

HülkenbergP10+4.0 Elo
RicciardoDNF−46.4 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Hülkenberg 0.372s faster

Toro Rosso

KvyatP12+4.2 Elo
GaslyP14−30.3 Elo

2 places apart at the finish.

Q1 · Gasly 5.088s faster

Williams

KubicaDNF−1.9 Elo
RussellDNF−8.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Russell 1.118s 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 →