Round 16 · 2016 · 2 Oct

Sepang International Circuit

Kuala Lumpur, Malaysia

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 599 earlier finishes across 35 races, 2007–2016. 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. Fernando Alonso McLaren · Elo #10 · Q22

    Expected P13.9 Finished P7

    +6.9places
  2. Jolyon Palmer Renault · Elo #20 · Q19

    Expected P15.4 Finished P10

    +5.4places
  3. Valtteri Bottas Williams · Elo #8 · Q11

    Expected P8.5 Finished P5

    +3.5places

Flop 3

Below the estimate
  1. Felipe Massa Williams · Elo #11 · Q10

    Expected P8.9 Finished P13

    −4.1places
  2. Daniil Kvyat Toro Rosso · Elo #14 · Q15

    Expected P11.9 Finished P14

    −2.1places
  3. Nico Hülkenberg Force India · Elo #9 · Q8

    Expected P7.4 Finished P8

    −0.6places
16/22 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
D. RicciardoRed Bull #32479 P4 P4.0P1–P8 P1 +3.0places In range
M. VerstappenRed Bull #62359 P3 P4.4P1–P9 P2 +2.4places In range
N. RosbergMercedes #22564 P2 P2.8P1–P7 P3 −0.2places In range
K. RäikkönenFerrari #52397 P6 P5.4P1–P10 P4 +1.4places In range
V. BottasWilliams #82237 P11 P8.5P4–P13 P5 +3.5places In range
S. PérezForce India #72296 P7 P6.4P2–P11 P6 +0.4places In range
F. AlonsoMcLaren #102171 P22 P13.9P10–P18 P7 +6.9places Above range
N. HülkenbergForce India #92172 P8 P7.4P3–P12 P8 −0.6places In range
J. ButtonMcLaren #172054 P9 P10.1P6–P14 P9 +1.1places In range
J. PalmerRenault #201968 P19 P15.4P11–P20 P10 +5.4places Above range
C. SainzToro Rosso #122112 P16 P11.8P8–P16 P11 +0.8places In range
M. EricssonSauber #211955 P17 P14.8P11–P19 P12 +2.8places In range
F. MassaWilliams #112127 P10 P8.9P5–P13 P13 −4.1places In range
D. KvyatToro Rosso #142073 P15 P11.9P8–P16 P14 −2.1places In range
P. WehrleinManor Marussia #221920 P21 P16.8P13–P21 P15 +1.8places In range
E. OconManor Marussia #191975 P20 P15.6P11–P20 P16 −0.4places In range
F. NasrSauber #181975 P18 P14.4P10–P19 DNFBrakes — Not assessedDNF: Brakes
L. HamiltonMercedes #12599 P1 P2.1P1–P6 DNFEngine — Not assessedDNF: Engine
E. GutiérrezHaas F1 Team #132110 P13 P10.8P7–P15 DNFWheel nut — Not assessedDNF: Wheel nut
K. MagnussenRenault #162055 P14 P12.1P8–P16 DNFPower loss — Not assessedDNF: Power loss
R. GrosjeanHaas F1 Team #152069 P12 P10.9P7–P15 DNFBrakes — Not assessedDNF: Brakes
S. VettelFerrari #42399 P5 P4.7P1–P9 DNFCollision — Not assessedDNF: Collision
How useful is the model? See the historical check

Average absolute error on 599 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
2.35places
Qualifying only
2.56places
Elo only
2.88places

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

Palmer+38.5 Elo

Largest Elo loss

Vettel−93.0 Elo

Largest grid-to-finish gain

Alonso+15 places

The bigger picture

Championship after this round

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

  1. 1 Rosberg 288pts 0
  2. 2 Hamilton 265pts 0
  3. 3 Ricciardo 204pts 0
  4. 4 Räikkönen 160pts +1
  5. 5 Vettel 153pts −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.

Mercedes

RosbergP3+4.7 Elo
HamiltonDNF−87.6 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Hamilton 0.414s faster

Ferrari

RäikkönenP4+15.0 Elo
VettelDNF−93.0 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Vettel 0.048s faster

Williams

BottasP5+29.7 Elo
MassaP13−2.1 Elo

8 places apart at the finish.

Q2 · Massa 0.155s faster

McLaren

AlonsoP7+27.3 Elo
ButtonP9+32.6 Elo

2 places apart at the finish.

Q1 · Button 1.888s faster

Renault

PalmerP10+38.5 Elo
MagnussenDNF−33.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Magnussen 0.406s faster

Toro Rosso

SainzP11+12.2 Elo
KvyatP140.0 Elo

3 places apart at the finish.

Q2 · Kvyat 0.005s faster

Sauber

EricssonP12+28.2 Elo
NasrDNF−4.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ericsson 0.133s 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 →