Round 21 · 2024

Autódromo José Carlos Pace

São Paulo, Brazil · November 03, 2024 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

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18 stored results 18/18 Elo snapshots 18/18 numbered grid slots 18/18 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 609 earlier finishes across 37 races, 2015–2024. No results from this race enter its expectation.

16/18 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
  1. Pierre Gasly Alpine F1 Team · Elo #12 · Q15

    Expected P11.5 Finished P3

    +8.5places
  2. Max Verstappen Red Bull · Elo #1 · Q12

    Expected P6.8 Finished P1

    +5.8places
  3. Esteban Ocon Alpine F1 Team · Elo #15 · Q4

    Expected P7.4 Finished P2

    +5.4places

Flop 3

Below the estimate
  1. Fernando Alonso Aston Martin · Elo #9 · Q9

    Expected P7.9 Finished P14

    −6.1places
  2. Lando Norris McLaren · Elo #2 · Q1

    Expected P2.1 Finished P6

    −3.9places
  3. Oscar Piastri McLaren · Elo #4 · Q8

    Expected P5.9 Finished P8

    −2.1places

14/18 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 → P18vs expectedReading
M. VerstappenRed Bull #12599 P12 Grid P17 P6.8P3–P10 P1 +5.8places Above range
E. OconAlpine F1 Team #152034 P4 P7.4P4–P11 P2 +5.4places Above range
P. GaslyAlpine F1 Team #122064 P15 Grid P13 P11.5P8–P15 P3 +8.5places Above range
G. RussellMercedes #72341 P2 P4.1P1–P7 P4 +0.1places In range
C. LeclercFerrari #32472 P6 P4.7P1–P8 P5 −0.3places In range
L. NorrisMcLaren #22512 P1 P2.1P1–P5 P6 −3.9places Below range
Y. TsunodaRB F1 Team #161977 P3 P7.2P4–P11 P7 +0.2places In range
O. PiastriMcLaren #42465 P8 P5.9P3–P9 P8 −2.1places In range
L. LawsonRB F1 Team #142052 P5 P7.5P4–P11 P9 −1.5places In range
L. HamiltonMercedes #62341 P16 Grid P14 P10.2P7–P14 P10 +0.2places In range
S. PérezRed Bull #82210 P13 Grid P12 P9.4P6–P13 P11 −1.6places In range
O. BearmanHaas F1 Team #132056 P17 Grid P15 P12.7P9–P16 P12 +0.7places In range
V. BottasSauber #171932 P11 P11.2P8–P15 P13 −1.8places In range
F. AlonsoAston Martin #92162 P9 P7.9P5–P11 P14 −6.1places Below range
G. ZhouSauber #181893 No error range P15 Not assessedQualifying unavailable
C. SainzFerrari #52403 P14 Grid P20 P8.9P6–P12 DNFRetired Not assessedDNF: Retired
F. ColapintoWilliams #112080 P18 Grid P16 P12.6P9–P16 DNFRetired Not assessedDNF: Retired
N. HülkenbergHaas F1 Team #102143 No error range DSQDisqualified Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 609 classified finishes in 37 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
2.09places
Qualifying only
2.28places
Elo only
2.54places

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

Ocon+62.1 Elo

Largest Elo loss

Sainz−59.2 Elo

Largest grid-to-finish gain

Verstappen+16 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 393pts 0
  2. 2 Norris 331pts 0
  3. 3 Leclerc 307pts 0
  4. 4 Piastri 262pts 0
  5. 5 Sainz 244pts 0

Movement since round 20. 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.

Ferrari

LeclercP5−1.3 Elo
SainzDNF−59.2 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Leclerc 3.309s faster

McLaren

NorrisP6−10.4 Elo
PiastriP8−18.1 Elo

2 places apart at the finish.

Q3 · Norris 1.281s faster

Sauber

BottasP13+8.1 Elo
ZhouP15−0.2 Elo

2 places apart at the finish.

Q1 · Bottas 1.630s 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 →
18
Result Entries
Avg Elo
Highest Elo (Verstappen)
3
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇳🇱 M.Verstappen 17 +16 +26 393 P1 +12.5 2,611
P2 🇫🇷 E.Ocon 4 +2 +18 23 P14 +62.1 2,096
P3 🇫🇷 P.Gasly 13 +10 +15 26 P12 +53.1 2,117
P4 🇬🇧 G.Russell 2 -2 +12 192 P6 +16.8 2,358
P5 🇲🇨 C.Leclerc 6 +1 +10 307 P3 -1.3 2,471
P6 🇬🇧 L.Norris 1 -5 +8 331 P2 -10.4 2,502
P7 🇯🇵 Y.Tsunoda 3 -4 +6 28 P11 +38.8 2,016
P8 🇦🇺 O.Piastri 8 +4 262 P4 -18.1 2,447
P9 🇳🇿 L.Lawson 5 -4 +2 4 P20 +19.4 2,071
P10 🇬🇧 L.Hamilton 14 +4 +1 190 P7 -18.1 2,323
P11 🇲🇽 S.Pérez 12 +1 0 151 P8 -9.8 2,200
P12 🇬🇧 O.Bearman 15 +3 0 7 P18 +1.6 2,057
P13 🇫🇮 V.Bottas 11 -2 0 0 P23 +8.1 1,940
P14 🇪🇸 F.Alonso 9 -5 0 62 P9 -21.9 2,140
P15 🇨🇳 G.Zhou 19 +4 0 0 P21 -0.2 1,893
DNF 🇪🇸 C.Sainz 20 0 244 P5 -59.2 2,344
DNF 🇦🇷 F.Colapinto 16 0 5 P19 -30.2 2,050
DSQ 🇩🇪 N.Hülkenberg 18 0 31 P10 -43.0 2,100
# Driver Q1 Q2 Q3 Gap Elo
1 🇬🇧 L.Norris 1:30.944 1:24.844 1:23.405 1:23.405 2,417
2 🇬🇧 G.Russell 1:29.121 1:26.307 1:23.578 +0.173 2,405
3 🇯🇵 Y.Tsunoda 1:29.172 1:26.464 1:24.111 +0.706 2,130
4 🇫🇷 E.Ocon 1:29.171 1:26.206 1:24.475 +1.07 2,035
5 🇳🇿 L.Lawson 1:30.758 1:25.654 1:24.484 +1.079 2,216
6 🇲🇨 C.Leclerc 1:29.839 1:26.097 1:24.525 +1.12 2,308
7 🇹🇭 A.Albon 1:29.072 1:24.657 1:24.657 +1.252 1,979
8 🇦🇺 O.Piastri 1:30.114 1:24.686 1:24.686 +1.281 2,316
9 🇪🇸 F.Alonso 1:30.207 1:28.998 1:28.998 +5.593 2,002
10 🇨🇦 L.Stroll 1:30.580 1:26.334 +2.929 1,901
11 🇫🇮 V.Bottas 1:30.633 1:26.472 +3.067 1,862
12 🇳🇱 M.Verstappen 1:28.522 1:27.771 +4.366 2,335
13 🇲🇽 S.Pérez 1:30.035 1:28.158 +4.753 1,955
14 🇪🇸 C.Sainz 1:30.303 1:29.406 +6.001 2,061
15 🇫🇷 P.Gasly 1:29.420 1:29.614 +6.209 2,203
16 🇬🇧 L.Hamilton 1:31.150 +7.745 2,437
17 🇬🇧 O.Bearman 1:31.229 +7.824 2,020
18 🇦🇷 F.Colapinto 1:31.270 +7.865 2,135
19 🇩🇪 N.Hülkenberg 1:31.623 +8.218 2,099
20 🇨🇳 G.Zhou 1:32.263 +8.858 1,961
Data: Jolpica (Ergast) API

Elo Changes