Round 18 · 2013

Circuit of the Americas

Austin, USA · November 17, 2013 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R182013
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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 #12606 No error range P1 Not assessedQualifying unavailable
R. GrosjeanLotus F1 #52321 No error range P2 Not assessedQualifying unavailable
M. WebberRed Bull #72278 No error range P3 Not assessedQualifying unavailable
L. HamiltonMercedes #42336 No error range P4 Not assessedQualifying unavailable
F. AlonsoFerrari #22453 No error range P5 Not assessedQualifying unavailable
N. HülkenbergSauber #102171 No error range P6 Not assessedQualifying unavailable
S. PérezMcLaren #92208 No error range P7 Not assessedQualifying unavailable
V. BottasWilliams #162019 No error range P8 Not assessedQualifying unavailable
N. RosbergMercedes #32380 No error range P9 Not assessedQualifying unavailable
J. ButtonMcLaren #82234 No error range P10 Not assessedQualifying unavailable
D. RicciardoToro Rosso #152069 No error range P11 Not assessedQualifying unavailable
J. VergneToro Rosso #172014 No error range P12 Not assessedQualifying unavailable
F. MassaFerrari #62307 No error range P13 Not assessedQualifying unavailable
E. GutiérrezSauber #142086 No error range P14 Not assessedQualifying unavailable
H. KovalainenLotus F1 #182012 No error range P15 Not assessedQualifying unavailable
P. di RestaForce India #122104 No error range P16 Not assessedQualifying unavailable
P. MaldonadoWilliams #132087 No error range P17 Not assessedQualifying unavailable
J. BianchiMarussia #221867 No error range P18 Not assessedQualifying unavailable
G. van der GardeCaterham #201877 No error range P19 Not assessedQualifying unavailable
C. PicCaterham #191881 No error range P20 Not assessedQualifying unavailable
M. ChiltonMarussia #211872 No error range P21 Not assessedQualifying unavailable
A. SutilForce India #112121 No error range DNFAccident 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 gain

Bottas+43.6 Elo

Largest Elo loss

Sutil−65.5 Elo

The bigger picture

Championship after this round

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

  1. 1 Vettel 372pts 0
  2. 2 Alonso 227pts 0
  3. 3 Hamilton 187pts +1
  4. 4 Räikkönen 183pts −1
  5. 5 Webber 181pts 0

Movement since round 17. 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)
1
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇩🇪 S.Vettel 1 +25 372 P1 +12.0 2,618
P2 🇫🇷 R.Grosjean 3 +1 +18 132 P7 +35.4 2,356
P3 🇦🇺 M.Webber 2 -1 +15 181 P5 +35.1 2,313
P4 🇬🇧 L.Hamilton 5 +1 +12 187 P3 +20.0 2,356
P5 🇪🇸 F.Alonso 6 +1 +10 227 P2 -1.1 2,452
P6 🇩🇪 N.Hülkenberg 4 -2 +8 47 P11 +32.2 2,203
P7 🇲🇽 S.Pérez 7 +6 41 P12 +19.6 2,227
P8 🇫🇮 V.Bottas 9 +1 +4 4 P17 +43.6 2,063
P9 🇩🇪 N.Rosberg 12 +3 +2 161 P6 -18.9 2,361
P10 🇬🇧 J.Button 15 +5 +1 61 P9 -4.4 2,229
P11 🇦🇺 D.Ricciardo 10 -1 0 19 P14 +15.9 2,085
P12 🇫🇷 J.Vergne 14 +2 0 13 P15 +18.0 2,032
P13 🇧🇷 F.Massa 13 0 106 P8 -35.4 2,272
P14 🇲🇽 E.Gutiérrez 20 +6 0 6 P16 -6.8 2,079
P15 🇫🇮 H.Kovalainen 8 -7 0 0 P23 -1.5 2,010
P16 🇬🇧 P.di Resta 11 -5 0 48 P10 -23.0 2,081
P17 🇻🇪 P.Maldonado 17 0 1 P18 -26.7 2,060
P18 🇫🇷 J.Bianchi 19 +1 0 0 P19 -1.3 1,866
P19 🇳🇱 G.van der Garde 18 -1 0 0 P21 -9.2 1,868
P20 🇫🇷 C.Pic 22 +2 0 0 P20 -16.2 1,865
P21 🇬🇧 M.Chilton 21 0 0 P22 -21.7 1,850
DNF 🇩🇪 A.Sutil 16 0 29 P13 -65.5 2,056

Qualifying results are not available for this race.

Elo Changes