Round 16 · 2013

Buddh International Circuit

Uttar Pradesh, India · October 27, 2013 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

What did we expect after qualifying—and who beat it?

R162013
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22 stored results 22/22 Elo snapshots 22/22 numbered grid slots 0/22 qualifying results
Elo × qualifying → race result

Did they beat the expectation?

A strong driver recovering from a poor qualifying position isn't automatically a surprise. This model estimates a finish from both inputs, then compares it with what happened.

Experimental · v1

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.

0/22 entrants have an estimate. Missing Elo or qualifying stays visible below; a grid position is not used as a qualifying result.

Top 3

Beat the estimate

No comparable estimates available for this race yet.

Flop 3

Below the estimate

No comparable estimates available for this race yet.

0/22 entrants assessed. 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 #12577 No error range P1 Not assessedQualifying unavailable
N. RosbergMercedes #52316 No error range P2 Not assessedQualifying unavailable
R. GrosjeanLotus F1 #102251 No error range P3 Not assessedQualifying unavailable
F. MassaFerrari #82277 No error range P4 Not assessedQualifying unavailable
S. PérezMcLaren #112154 No error range P5 Not assessedQualifying unavailable
L. HamiltonMercedes #42323 No error range P6 Not assessedQualifying unavailable
K. RäikkönenLotus F1 #32400 No error range P7 Not assessedQualifying unavailable
P. di RestaForce India #182002 No error range P8 Not assessedQualifying unavailable
A. SutilForce India #132071 No error range P9 Not assessedQualifying unavailable
D. RicciardoToro Rosso #142061 No error range P10 Not assessedQualifying unavailable
F. AlonsoFerrari #22497 No error range P11 Not assessedQualifying unavailable
P. MaldonadoWilliams #152055 No error range P12 Not assessedQualifying unavailable
J. VergneToro Rosso #172016 No error range P13 Not assessedQualifying unavailable
J. ButtonMcLaren #72290 No error range P14 Not assessedQualifying unavailable
E. GutiérrezSauber #122097 No error range P15 Not assessedQualifying unavailable
V. BottasWilliams #162029 No error range P16 Not assessedQualifying unavailable
M. ChiltonMarussia #211890 No error range P17 Not assessedQualifying unavailable
J. BianchiMarussia #221884 No error range P18 Not assessedQualifying unavailable
N. HülkenbergSauber #92258 No error range DNFMechanical Not assessedQualifying unavailable
M. WebberRed Bull #62306 No error range DNFAlternator Not assessedQualifying unavailable
C. PicCaterham #191916 No error range DNFHydraulics Not assessedQualifying unavailable
G. van der GardeCaterham #201910 No error range DNFCollision Not assessedQualifying unavailable
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 loss

Webber−79.4 Elo

Largest grid-to-finish gain

Grosjean+14 places

The bigger picture

Championship after this round

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

  1. 1 Vettel 322pts 0
  2. 2 Alonso 207pts 0
  3. 3 Räikkönen 183pts 0
  4. 4 Hamilton 169pts 0
  5. 5 Webber 148pts 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.

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 →
22
Result Entries
Avg Elo
Highest Elo (Vettel)
4
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇩🇪 S.Vettel 1 +25 322 P1 +14.9 2,592
P2 🇩🇪 N.Rosberg 2 +18 144 P6 +38.1 2,354
P3 🇫🇷 R.Grosjean 17 +14 +15 102 P7 +41.4 2,292
P4 🇧🇷 F.Massa 5 +1 +12 102 P8 +30.7 2,308
P5 🇲🇽 S.Pérez 9 +4 +10 33 P12 +43.7 2,198
P6 🇬🇧 L.Hamilton 3 -3 +8 169 P4 +10.6 2,334
P7 🇫🇮 K.Räikkönen 6 -1 +6 183 P3 -6.5 2,394
P8 🇬🇧 P.di Resta 12 +4 +4 40 P10 +48.1 2,050
P9 🇩🇪 A.Sutil 13 +4 +2 28 P13 +30.7 2,102
P10 🇦🇺 D.Ricciardo 11 +1 +1 19 P14 +25.7 2,087
P11 🇪🇸 F.Alonso 8 -3 0 207 P2 -44.0 2,453
P12 🇻🇪 P.Maldonado 18 +6 0 1 P17 +13.4 2,068
P13 🇫🇷 J.Vergne 14 +1 0 13 P15 +12.9 2,029
P14 🇬🇧 J.Button 10 -4 0 60 P9 -37.4 2,252
P15 🇲🇽 E.Gutiérrez 16 +1 0 6 P16 -13.1 2,084
P16 🇫🇮 V.Bottas 15 -1 0 0 P18 -8.9 2,020
P17 🇬🇧 M.Chilton 22 +5 0 0 P22 +4.0 1,894
P18 🇫🇷 J.Bianchi 19 +1 0 0 P19 -1.9 1,882
DNF 🇩🇪 N.Hülkenberg 7 0 39 P11 -65.7 2,193
DNF 🇦🇺 M.Webber 4 0 148 P5 -79.4 2,226
DNF 🇫🇷 C.Pic 21 0 0 P20 -25.7 1,890
DNF 🇳🇱 G.van der Garde 20 0 0 P21 -31.6 1,878

Qualifying results are not available for this race.

Elo Changes