Round 18 · 2015

Autódromo José Carlos Pace

São Paulo, Brazil · November 15, 2015 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R182015
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20 stored results 20/20 Elo snapshots 20/20 numbered grid slots 20/20 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 590 earlier finishes across 35 races, 2006–2015. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Romain Grosjean Lotus F1 · Elo #14 · Q15

    Expected P11.7 Finished P8

    +3.7places
  2. Kimi Räikkönen Ferrari · Elo #10 · Q5

    Expected P6.3 Finished P4

    +2.3places
  3. Nico Hülkenberg Force India · Elo #13 · Q6

    Expected P7.5 Finished P6

    +1.5places

Flop 3

Below the estimate
  1. Marcus Ericsson Sauber · Elo #17 · Q14

    Expected P12.0 Finished P16

    −4.0places
  2. Daniel Ricciardo Red Bull · Elo #7 · Q9

    Expected P7.2 Finished P11

    −3.8places
  3. Alexander Rossi Manor Marussia · Elo #19 · Q18

    Expected P14.3 Finished P18

    −3.7places

18/20 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 → P20vs expectedReading
N. RosbergMercedes #22454 P1 P2.3P1–P6 P1 +1.3places In range
L. HamiltonMercedes #12599 P2 P2.5P1–P6 P2 +0.5places In range
S. VettelFerrari #32438 P3 P3.5P1–P7 P3 +0.5places In range
K. RäikkönenFerrari #102189 P5 Grid P4 P6.3P2–P10 P4 +2.3places In range
V. BottasWilliams #42287 P4 Grid P7 P4.2P1–P8 P5 −0.8places In range
N. HülkenbergForce India #132101 P6 Grid P5 P7.5P4–P11 P6 +1.5places In range
D. KvyatRed Bull #62276 P7 Grid P6 P6.0P2–P10 P7 −1.0places In range
R. GrosjeanLotus F1 #142090 P15 Grid P14 P11.7P8–P16 P8 +3.7places In range
M. VerstappenToro Rosso #92220 P10 Grid P9 P8.1P4–P12 P9 −0.9places In range
P. MaldonadoLotus F1 #112108 P16 Grid P15 P11.3P7–P15 P10 +1.3places In range
D. RicciardoRed Bull #72231 P9 Grid P19 P7.2P3–P11 P11 −3.8places In range
S. PérezForce India #52285 P13 Grid P11 P8.3P4–P12 P12 −3.7places In range
F. NasrSauber #162086 P11 Grid P13 P10.5P7–P14 P13 −2.5places In range
J. ButtonMcLaren #152089 P17 Grid P16 P12.8P9–P17 P14 −1.2places In range
F. AlonsoMcLaren #182027 P20 P14.9P11–P19 P15 −0.1places In range
M. EricssonSauber #172048 P14 Grid P12 P12.0P8–P16 P16 −4.0places In range
W. StevensManor Marussia #201906 P19 Grid P18 P15.0P11–P19 P17 −2.0places In range
A. RossiManor Marussia #191998 P18 Grid P17 P14.3P10–P18 P18 −3.7places In range
C. SainzToro Rosso #122102 P12 Grid P10 P9.8P6–P14 DNFRetired Not assessedDNF: Retired
F. MassaWilliams #82228 P8 P7.0P3–P11 DSQExcluded Not assessedDSQ: Excluded
How useful is the model? See the historical check

Average absolute error on 590 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
2.38places
Qualifying only
2.59places
Elo only
2.89places

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

Massa−73.9 Elo

Largest grid-to-finish gain

Ricciardo+8 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 363pts 0
  2. 2 Rosberg 297pts 0
  3. 3 Vettel 266pts 0
  4. 4 Bottas 136pts 0
  5. 5 Räikkönen 135pts 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.

Williams

BottasP5+21.0 Elo
MassaDSQ−73.9 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Bottas 0.330s faster

Toro Rosso

VerstappenP9+4.0 Elo
SainzDNF−45.7 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Verstappen 0.333s faster

Sauber

NasrP13−1.5 Elo
EricssonP16−16.2 Elo

3 places apart at the finish.

Q2 · Nasr 0.244s 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 →
20
Result Entries
Avg Elo
Highest Elo (Hamilton)
2
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇩🇪 N.Rosberg 1 +25 297 P2 +26.2 2,480
P2 🇬🇧 L.Hamilton 2 +18 363 P1 +5.9 2,605
P3 🇩🇪 S.Vettel 3 +15 266 P3 +14.1 2,452
P4 🇫🇮 K.Räikkönen 4 +12 135 P5 +43.9 2,233
P5 🇫🇮 V.Bottas 7 +2 +10 136 P4 +21.0 2,308
P6 🇩🇪 N.Hülkenberg 5 -1 +8 52 P10 +44.9 2,146
P7 🇷🇺 D.Kvyat 6 -1 +6 94 P7 +8.8 2,285
P8 🇫🇷 R.Grosjean 14 +6 +4 49 P11 +32.7 2,123
P9 🇳🇱 M.Verstappen 9 +2 49 P12 +4.0 2,224
P10 🇻🇪 P.Maldonado 15 +5 +1 27 P14 +15.8 2,124
P11 🇦🇺 D.Ricciardo 19 +8 0 84 P8 -11.8 2,219
P12 🇲🇽 S.Pérez 11 -1 0 68 P9 -27.4 2,257
P13 🇧🇷 F.Nasr 13 0 27 P13 -1.5 2,085
P14 🇬🇧 J.Button 16 +2 0 16 P16 -8.8 2,080
P15 🇪🇸 F.Alonso 20 +5 0 11 P17 -6.0 2,021
P16 🇸🇪 M.Ericsson 12 -4 0 9 P18 -16.2 2,032
P17 🇬🇧 W.Stevens 18 +1 0 0 P21 -3.4 1,902
P18 🇺🇸 A.Rossi 17 -1 0 0 P20 -22.6 1,976
DNF 🇪🇸 C.Sainz 10 0 18 P15 -45.7 2,056
DSQ 🇧🇷 F.Massa 8 0 117 P6 -73.9 2,154
# Driver Q1 Q2 Q3 Gap Elo
1 🇩🇪 N.Rosberg 1:11.746 1:12.213 1:11.282 1:11.282 2,617
2 🇬🇧 L.Hamilton 1:11.682 1:11.665 1:11.360 +0.078 2,437
3 🇩🇪 S.Vettel 1:12.240 1:11.928 1:11.804 +0.522 2,156
4 🇫🇮 V.Bottas 1:12.934 1:12.374 1:12.085 +0.803 1,862
5 🇫🇮 K.Räikkönen 1:12.185 1:12.243 1:12.144 +0.862 2,029
6 🇩🇪 N.Hülkenberg 1:12.595 1:12.485 1:12.265 +0.983 2,099
7 🇷🇺 D.Kvyat 1:12.730 1:12.527 1:12.322 +1.04 2,171
8 🇧🇷 F.Massa 1:12.980 1:12.858 1:12.415 +1.133 2,196
9 🇦🇺 D.Ricciardo 1:12.639 1:12.825 1:12.417 +1.135 2,055
10 🇳🇱 M.Verstappen 1:12.824 1:12.712 1:12.739 +1.457 2,335
11 🇧🇷 F.Nasr 1:13.111 1:12.989 +1.707 2,014
12 🇪🇸 C.Sainz 1:13.267 1:13.045 +1.763 2,061
13 🇲🇽 S.Pérez 1:13.140 1:13.147 +1.865 1,955
14 🇸🇪 M.Ericsson 1:13.346 1:13.233 +1.951 2,009
15 🇫🇷 R.Grosjean 1:13.056 1:13.913 +2.631 1,931
16 🇻🇪 P.Maldonado 1:13.385 +2.103 2,068
17 🇬🇧 J.Button 1:13.425 +2.143 2,016
18 🇺🇸 A.Rossi 1:16.151 +4.869 1,976
19 🇬🇧 W.Stevens 1:16.283 +5.001 1,892
20 🇪🇸 F.Alonso 2,002
Data: Jolpica (Ergast) API

Elo Changes