Round 9 · 2013 · 7 Jul

Nürburgring

Nürburg, Germany

Results & qualifying →

Race debrief

Share this debrief
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 550 earlier finishes across 34 races, 2003–2013. 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. Romain Grosjean Lotus F1 · Elo #15 · Q5

    Expected P7.6 Finished P3

    +4.6places
  2. Sergio Pérez McLaren · Elo #13 · Q13

    Expected P10.4 Finished P8

    +2.4places
  3. Kimi Räikkönen Lotus F1 · Elo #3 · Q4

    Expected P4.1 Finished P2

    +2.1places

Flop 3

Below the estimate
  1. Daniel Ricciardo Toro Rosso · Elo #11 · Q6

    Expected P7.0 Finished P12

    −5.0places
  2. Valtteri Bottas Williams · Elo #14 · Q17

    Expected P12.4 Finished P16

    −3.6places
  3. Mark Webber Red Bull · Elo #4 · Q3

    Expected P3.9 Finished P7

    −3.1places
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 #22441 P2 P3.0P1–P8 P1 +2.0places In range
K. RäikkönenLotus F1 #32425 P4 P4.1P1–P9 P2 +2.1places In range
R. GrosjeanLotus F1 #152069 P5 P7.6P3–P12 P3 +4.6places In range
F. AlonsoFerrari #12446 P8 P5.2P1–P10 P4 +1.2places In range
L. HamiltonMercedes #52368 P1 P3.4P1–P8 P5 −1.6places In range
J. ButtonMcLaren #82245 P9 P7.5P3–P12 P6 +1.5places In range
M. WebberRed Bull #42371 P3 P3.9P1–P9 P7 −3.1places In range
S. PérezMcLaren #132088 P13 P10.4P6–P15 P8 +2.4places In range
N. RosbergMercedes #62304 P11 P7.8P3–P12 P9 −1.2places In range
N. HülkenbergSauber #122107 P10 P8.9P4–P14 P10 −1.1places In range
P. di RestaForce India #92242 P12 P9.0P4–P14 P11 −2.0places In range
D. RicciardoToro Rosso #112108 P6 P7.0P2–P12 P12 −5.0places In range
A. SutilForce India #102195 P15 P10.5P6–P15 P13 −2.5places In range
E. GutiérrezSauber #182000 P14 P12.2P8–P17 P14 −1.8places In range
P. MaldonadoWilliams #172031 P18 P13.6P9–P18 P15 −1.4places In range
V. BottasWilliams #142070 P17 P12.4P8–P17 P16 −3.6places In range
C. PicCaterham #211932 P19 Grid P22 P15.0P10–P20 P17 −2.0places In range
G. van der GardeCaterham #221895 P21 Grid P20 P16.1P11–P21 P18 −1.9places In range
M. ChiltonMarussia #201938 P22 Grid P21 P16.0P11–P21 P19 −3.0places In range
J. VergneToro Rosso #162049 P16 P12.5P8–P17 DNFHydraulics — Not assessedDNF: Hydraulics
J. BianchiMarussia #191957 P20 Grid P19 P14.9P10–P20 DNFEngine — Not assessedDNF: Engine
F. MassaFerrari #72295 P7 P6.4P2–P11 DNFSpun off — Not assessedDNF: Spun off
How useful is the model? See the historical check

Average absolute error on 550 classified finishes in 34 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
2.59places
Qualifying only
2.74places
Elo only
3.10places

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

Massa−91.5 Elo

Largest grid-to-finish gain

Pérez+5 places

The bigger picture

Championship after this round

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

  1. 1 Vettel 157pts 0
  2. 2 Alonso 123pts 0
  3. 3 Räikkönen 116pts 0
  4. 4 Hamilton 99pts 0
  5. 5 Webber 93pts 0

Movement since round 8. 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+27.2 Elo
WebberP7−3.4 Elo

6 places apart at the finish.

Q3 · Vettel 0.107s faster

Ferrari

AlonsoP4+6.8 Elo
MassaDNF−91.5 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Massa 0.083s faster

McLaren

ButtonP6+22.3 Elo
PérezP8+35.2 Elo

2 places apart at the finish.

Q2 · Button 0.664s faster

Toro Rosso

RicciardoP12+5.4 Elo
VergneDNF−37.8 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Ricciardo 0.881s faster

Marussia

ChiltonP19−14.4 Elo
BianchiDNF−30.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Bianchi 1.035s 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 →