Round 20 · 2012

Autódromo José Carlos Pace

São Paulo, Brazil · November 25, 2012 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R202012
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24 stored results 24/24 Elo snapshots 24/24 numbered grid slots 0/24 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 560 earlier finishes across 35 races, 2003–2012. No results from this race enter its expectation.

0/24 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.

0/24 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 → P24vs expectedReading
J. ButtonMcLaren #52314 No error range P1 Not assessedQualifying unavailable
F. AlonsoFerrari #32440 No error range P2 Not assessedQualifying unavailable
F. MassaFerrari #42372 No error range P3 Not assessedQualifying unavailable
M. WebberRed Bull #72211 No error range P4 Not assessedQualifying unavailable
N. HülkenbergForce India #92174 No error range P5 Not assessedQualifying unavailable
S. VettelRed Bull #12496 No error range P6 Not assessedQualifying unavailable
M. SchumacherMercedes #172074 No error range P7 Not assessedQualifying unavailable
J. VergneToro Rosso #182019 No error range P8 Not assessedQualifying unavailable
K. KobayashiSauber #132150 No error range P9 Not assessedQualifying unavailable
K. RäikkönenLotus F1 #22443 No error range P10 Not assessedQualifying unavailable
V. PetrovCaterham #201979 No error range P11 Not assessedQualifying unavailable
C. PicMarussia #221905 No error range P12 Not assessedQualifying unavailable
D. RicciardoToro Rosso #102168 No error range P13 Not assessedQualifying unavailable
H. KovalainenCaterham #191997 No error range P14 Not assessedQualifying unavailable
N. RosbergMercedes #152091 No error range P15 Not assessedQualifying unavailable
T. GlockMarussia #211940 No error range P16 Not assessedQualifying unavailable
P. de la RosaHRT #231859 No error range P17 Not assessedQualifying unavailable
N. KarthikeyanHRT #241775 No error range P18 Not assessedQualifying unavailable
P. di RestaForce India #82188 No error range DNFAccident Not assessedQualifying unavailable
L. HamiltonMcLaren #62246 No error range DNFCollision Not assessedQualifying unavailable
R. GrosjeanLotus F1 #122150 No error range DNFAccident Not assessedQualifying unavailable
P. MaldonadoWilliams #142138 No error range DNFCollision Not assessedQualifying unavailable
B. SennaWilliams #112162 No error range DNFCollision Not assessedQualifying unavailable
S. PérezSauber #162085 No error range DNFCollision Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 560 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
2.68places
Elo only
3.06places

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

Vergne+46.9 Elo

Largest Elo loss

Senna−66.9 Elo

Largest grid-to-finish gain

Pic+10 places

The bigger picture

Championship after this round

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

  1. 1 Vettel 281pts 0
  2. 2 Alonso 278pts 0
  3. 3 Räikkönen 207pts 0
  4. 4 Hamilton 190pts 0
  5. 5 Button 188pts +1

Movement since round 19. 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 →
24
Result Entries
Avg Elo
Highest Elo (Vettel)
6
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 J.Button 2 +1 +25 188 P5 +41.0 2,355
P2 🇪🇸 F.Alonso 7 +5 +18 278 P2 +19.0 2,459
P3 🇧🇷 F.Massa 5 +2 +15 122 P7 +21.1 2,393
P4 🇦🇺 M.Webber 3 -1 +12 179 P6 +39.0 2,250
P5 🇩🇪 N.Hülkenberg 6 +1 +10 63 P11 +39.1 2,213
P6 🇩🇪 S.Vettel 4 -2 +8 281 P1 -10.8 2,485
P7 🇩🇪 M.Schumacher 13 +6 +6 49 P13 +44.0 2,118
P8 🇫🇷 J.Vergne 17 +9 +4 16 P17 +46.9 2,066
P9 🇯🇵 K.Kobayashi 14 +5 +2 60 P12 +19.2 2,169
P10 🇫🇮 K.Räikkönen 8 -2 +1 207 P3 -29.4 2,414
P11 🇷🇺 V.Petrov 19 +8 0 0 P19 +35.0 2,014
P12 🇫🇷 C.Pic 22 +10 0 0 P21 +39.4 1,945
P13 🇦🇺 D.Ricciardo 15 +2 0 10 P18 -7.9 2,160
P14 🇫🇮 H.Kovalainen 20 +6 0 0 P22 +14.2 2,012
P15 🇩🇪 N.Rosberg 9 -6 0 93 P9 -6.9 2,084
P16 🇩🇪 T.Glock 21 +5 0 0 P20 +10.7 1,950
P17 🇪🇸 P.de la Rosa 24 +7 0 0 P25 +15.1 1,874
P18 🇮🇳 N.Karthikeyan 23 +5 0 0 P24 +17.9 1,793
DNF 🇬🇧 P.di Resta 10 0 46 P14 -47.3 2,141
DNF 🇬🇧 L.Hamilton 1 0 190 P4 -62.6 2,183
DNF 🇫🇷 R.Grosjean 18 0 96 P8 -52.9 2,097
DNF 🇻🇪 P.Maldonado 16 0 45 P15 -56.9 2,081
DNF 🇧🇷 B.Senna 11 0 31 P16 -66.9 2,095
DNF 🇲🇽 S.Pérez 12 0 66 P10 -60.1 2,025

Qualifying results are not available for this race.

Elo Changes