Round 19 · 2016

Autódromo Hermanos Rodríguez

Mexico City, Mexico · October 30, 2016 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R192016
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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 615 earlier finishes across 36 races, 2007–2016. 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
L. HamiltonMercedes #22540 No error range P1 Not assessedQualifying unavailable
N. RosbergMercedes #12594 No error range P2 Not assessedQualifying unavailable
D. RicciardoRed Bull #32506 No error range P3 Not assessedQualifying unavailable
M. VerstappenRed Bull #62335 No error range P4 Not assessedQualifying unavailable
S. VettelFerrari #42356 No error range P5 Not assessedQualifying unavailable
K. RäikkönenFerrari #52342 No error range P6 Not assessedQualifying unavailable
N. HülkenbergForce India #112143 No error range P7 Not assessedQualifying unavailable
V. BottasWilliams #82223 No error range P8 Not assessedQualifying unavailable
F. MassaWilliams #102179 No error range P9 Not assessedQualifying unavailable
S. PérezForce India #72320 No error range P10 Not assessedQualifying unavailable
M. EricssonSauber #182002 No error range P11 Not assessedQualifying unavailable
J. ButtonMcLaren #142093 No error range P12 Not assessedQualifying unavailable
F. AlonsoMcLaren #92208 No error range P13 Not assessedQualifying unavailable
J. PalmerRenault #172041 No error range P14 Not assessedQualifying unavailable
F. NasrSauber #201965 No error range P15 Not assessedQualifying unavailable
C. SainzToro Rosso #122143 No error range P16 Not assessedQualifying unavailable
K. MagnussenRenault #162047 No error range P17 Not assessedQualifying unavailable
D. KvyatToro Rosso #132096 No error range P18 Not assessedQualifying unavailable
E. GutiérrezHaas F1 Team #192002 No error range P19 Not assessedQualifying unavailable
R. GrosjeanHaas F1 Team #152080 No error range P20 Not assessedQualifying unavailable
E. OconManor Marussia #211941 No error range P21 Not assessedQualifying unavailable
P. WehrleinManor Marussia #221910 No error range DNFCollision Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 615 classified finishes in 36 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
2.55places
Elo only
2.87places

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 grid-to-finish gain

Palmer+7 places

The bigger picture

Championship after this round

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

  1. 1 Rosberg 349pts 0
  2. 2 Hamilton 330pts 0
  3. 3 Ricciardo 242pts 0
  4. 4 Vettel 187pts 0
  5. 5 Räikkönen 178pts 0

Movement since round 18. 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 (Rosberg)
1
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 L.Hamilton 1 +25 330 P2 +18.2 2,559
P2 🇩🇪 N.Rosberg 2 +18 349 P1 +8.0 2,602
P3 🇦🇺 D.Ricciardo 4 +1 +15 242 P3 +9.2 2,515
P4 🇳🇱 M.Verstappen 3 -1 +12 177 P6 +22.3 2,357
P5 🇩🇪 S.Vettel 7 +2 +10 187 P4 +13.7 2,369
P6 🇫🇮 K.Räikkönen 6 +8 178 P5 +9.4 2,351
P7 🇩🇪 N.Hülkenberg 5 -2 +6 60 P9 +31.8 2,175
P8 🇫🇮 V.Bottas 8 +4 85 P8 +13.9 2,237
P9 🇧🇷 F.Massa 9 +2 51 P11 +14.5 2,193
P10 🇲🇽 S.Pérez 12 +2 +1 85 P7 -11.6 2,308
P11 🇸🇪 M.Ericsson 15 +4 0 0 P21 +28.5 2,030
P12 🇬🇧 J.Button 13 +1 0 21 P15 +9.5 2,102
P13 🇪🇸 F.Alonso 11 -2 0 52 P10 -13.8 2,194
P14 🇬🇧 J.Palmer 21 +7 0 1 P17 +5.1 2,046
P15 🇧🇷 F.Nasr 19 +4 0 0 P22 +9.4 1,975
P16 🇪🇸 C.Sainz 10 -6 0 38 P12 -22.0 2,121
P17 🇩🇰 K.Magnussen 14 -3 0 7 P16 -13.8 2,034
P18 🇷🇺 D.Kvyat 18 0 25 P14 -27.0 2,069
P19 🇲🇽 E.Gutiérrez 17 -2 0 0 P20 -19.4 1,983
P20 🇫🇷 R.Grosjean 22 +2 0 29 P13 -36.5 2,043
P21 🇫🇷 E.Ocon 20 -1 0 0 P24 -23.5 1,918
DNF 🇩🇪 P.Wehrlein 16 0 1 P18 -25.8 1,884

Qualifying results are not available for this race.

Elo Changes