Round 19 · 2013 · 24 Nov

Autódromo José Carlos Pace

São Paulo, Brazil

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 575 earlier finishes across 35 races, 2004–2013. No results from this race enter its expectation.

22 stored results 22/22 Elo snapshots 22/22 numbered grid slots 22/22 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. Jenson Button McLaren · Elo #8 · Q15

    Expected P10.1 Finished P4

    +6.1places
  2. Sergio Pérez McLaren · Elo #9 · Q14

    Expected P9.9 Finished P6

    +3.9places
  3. Mark Webber Red Bull · Elo #6 · Q4

    Expected P4.9 Finished P2

    +2.9places

Flop 3

Below the estimate
  1. Jean-Éric Vergne Toro Rosso · Elo #17 · Q8

    Expected P9.5 Finished P15

    −5.5places
  2. Lewis Hamilton Mercedes · Elo #4 · Q5

    Expected P4.8 Finished P9

    −4.2places
  3. Pastor Maldonado Williams · Elo #15 · Q17

    Expected P12.8 Finished P16

    −3.2places
19/22 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 → P22vs expectedReading
S. VettelRed Bull #12618 P1 P2.3P1–P7 P1 +1.3places In range
M. WebberRed Bull #62313 P4 P4.9P1–P10 P2 +2.9places In range
F. AlonsoFerrari #22452 P3 P3.4P1–P8 P3 +0.4places In range
J. ButtonMcLaren #82229 P15 Grid P14 P10.1P5–P15 P4 +6.1places Above range
N. RosbergMercedes #32361 P2 P3.3P1–P8 P5 −1.7places In range
S. PérezMcLaren #92227 P14 Grid P19 P9.9P5–P15 P6 +3.9places In range
F. MassaFerrari #72272 P9 P7.3P3–P12 P7 +0.3places In range
N. HülkenbergSauber #102203 P10 P8.5P4–P13 P8 +0.5places In range
L. HamiltonMercedes #42356 P5 P4.8P1–P9 P9 −4.2places In range
D. RicciardoToro Rosso #112085 P7 P7.5P3–P12 P10 −2.5places In range
P. di RestaForce India #122081 P12 P9.9P5–P15 P11 −1.1places In range
E. GutiérrezSauber #132079 P18 Grid P17 P12.7P8–P17 P12 +0.7places In range
A. SutilForce India #162056 P16 Grid P15 P12.6P8–P17 P13 −0.4places In range
H. KovalainenLotus F1 #182010 P11 P11.0P6–P16 P14 −3.0places In range
J. VergneToro Rosso #172032 P8 P9.5P5–P14 P15 −5.5places Below range
P. MaldonadoWilliams #152060 P17 Grid P16 P12.8P8–P17 P16 −3.2places In range
J. BianchiMarussia #201866 P21 P15.8P11–P20 P17 −1.2places In range
G. van der GardeCaterham #191868 P20 P15.1P10–P20 P18 −2.9places In range
M. ChiltonMarussia #221850 P22 P16.7P12–P21 P19 −2.3places In range
C. PicCaterham #211865 P19 Grid P18 P15.2P11–P20 DNFMechanical — Not assessedDNF: Mechanical
V. BottasWilliams #142063 P13 P10.8P6–P15 DNFAccident — Not assessedDNF: Accident
R. GrosjeanLotus F1 #52356 P6 P5.5P1–P10 DNFEngine — Not assessedDNF: Engine
How useful is the model? See the historical check

Average absolute error on 575 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
2.60places
Qualifying only
2.75places
Elo only
3.09places

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

Webber+36.8 Elo

Largest grid-to-finish gain

Pérez+13 places

The bigger picture

Championship after this round

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

  1. 1 Vettel 397pts 0
  2. 2 Alonso 242pts 0
  3. 3 Webber 199pts +2
  4. 4 Hamilton 189pts −1
  5. 5 Räikkönen 183pts −1

Movement since round 18. 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.

Red Bull

VettelP1+11.5 Elo
WebberP2+36.8 Elo

1 place apart at the finish.

Q3 · Vettel 1.093s faster

Ferrari

AlonsoP3+12.6 Elo
MassaP7+9.8 Elo

4 places apart at the finish.

Q3 · Alonso 0.570s faster

McLaren

ButtonP4+36.2 Elo
PérezP6+23.2 Elo

2 places apart at the finish.

Q2 · Pérez 0.039s faster

Lotus F1

KovalainenP14+5.1 Elo
GrosjeanDNF−101.4 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Grosjean 1.295s faster

Williams

MaldonadoP16−15.9 Elo
BottasDNF−49.5 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Bottas 0.577s faster

Caterham

van der GardeP18−1.8 Elo
PicDNF−14.6 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Pic 0.477s 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 →