Round 16 · 2014 · 12 Oct

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 595 earlier finishes across 35 races, 2005–2014. No results from this race enter its expectation.

21 stored results 21/21 Elo snapshots 21/21 numbered grid slots 21/21 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. Kevin Magnussen McLaren · Elo #12 · Q6

    Expected P7.4 Finished P5

    +2.4places
  2. Lewis Hamilton Mercedes · Elo #1 · Q1

    Expected P2.2 Finished P1

    +1.2places
  3. Nico Rosberg Mercedes · Elo #3 · Q2

    Expected P3.2 Finished P2

    +1.2places

Flop 3

Below the estimate
  1. Daniil Kvyat Toro Rosso · Elo #14 · Q5

    Expected P7.6 Finished P14

    −6.4places
  2. Romain Grosjean Lotus F1 · Elo #15 · Q16

    Expected P12.5 Finished P17

    −4.5places
  3. Marcus Ericsson Caterham · Elo #21 · Q17

    Expected P14.7 Finished P19

    −4.3places
19/21 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 → P21vs expectedReading
L. HamiltonMercedes #12468 P1 P2.2P1–P7 P1 +1.2places In range
N. RosbergMercedes #32427 P2 P3.2P1–P8 P2 +1.2places In range
V. BottasWilliams #52359 P3 P4.2P1–P9 P3 +1.2places In range
J. ButtonMcLaren #62271 P4 P4.9P1–P9 P4 +0.9places In range
K. MagnussenMcLaren #122177 P6 Grid P11 P7.4P3–P12 P5 +2.4places In range
F. AlonsoFerrari #72266 P8 Grid P7 P6.8P2–P11 P6 +0.8places In range
D. RicciardoRed Bull #22454 P7 Grid P6 P5.0P1–P9 P7 −2.0places In range
S. VettelRed Bull #42425 P11 Grid P10 P7.2P3–P12 P8 −0.8places In range
K. RäikkönenFerrari #102238 P9 Grid P8 P8.1P4–P13 P9 −0.9places In range
S. PérezForce India #112221 P13 Grid P12 P10.1P6–P14 P10 +0.1places In range
F. MassaWilliams #82256 P18 P11.3P7–P16 P11 +0.3places In range
N. HülkenbergForce India #92242 P12 Grid P17 P9.1P5–P13 P12 −2.9places In range
J. VergneToro Rosso #132161 P10 Grid P9 P9.4P5–P14 P13 −3.6places In range
D. KvyatToro Rosso #142090 P5 P7.6P3–P12 P14 −6.4places Below range
E. GutiérrezSauber #171960 P14 Grid P13 P12.2P8–P17 P15 −2.8places In range
A. SutilSauber #181957 P15 Grid P14 P12.9P9–P17 P16 −3.1places In range
R. GrosjeanLotus F1 #152010 P16 Grid P15 P12.5P8–P17 P17 −4.5places In range
P. MaldonadoLotus F1 #162007 P20 Grid P21 P14.5P10–P19 P18 −3.5places In range
M. EricssonCaterham #211896 P17 Grid P16 P14.7P10–P19 P19 −4.3places In range
K. KobayashiCaterham #191920 P19 P14.9P11–P19 DNFBrakes — Not assessedDNF: Brakes
M. ChiltonMarussia #201897 P21 Grid P20 P16.0P12–P20 DNFSuspension — Not assessedDNF: Suspension
How useful is the model? See the historical check

Average absolute error on 595 classified finishes in 35 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
2.54places
Qualifying only
2.72places
Elo only
3.05places

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

Chilton−27.2 Elo

Largest grid-to-finish gain

Massa+7 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 291pts 0
  2. 2 Rosberg 274pts 0
  3. 3 Ricciardo 199pts 0
  4. 4 Bottas 145pts +2
  5. 5 Vettel 143pts −1

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.

Williams

BottasP3+26.1 Elo
MassaP11−12.5 Elo

8 places apart at the finish.

Q1 · Bottas 3.939s faster

Toro Rosso

VergneP13−10.9 Elo
KvyatP14−6.5 Elo

1 place apart at the finish.

Q3 · Kvyat 0.743s faster

Sauber

GutiérrezP15+5.6 Elo
SutilP16−0.8 Elo

1 place apart at the finish.

Q2 · Gutiérrez 0.448s faster

Caterham

EricssonP19−13.5 Elo
KobayashiDNF−23.1 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ericsson 0.518s 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 →