Round 16 · 2023

Suzuka Circuit

Suzuka, Japan · September 24, 2023 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R162023
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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 618 earlier finishes across 37 races, 2013–2023. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Esteban Ocon Alpine F1 Team · Elo #14 · Q14

    Expected P11.8 Finished P9

    +2.8places
  2. Lando Norris McLaren · Elo #7 · Q3

    Expected P4.7 Finished P2

    +2.7places
  3. Oscar Piastri McLaren · Elo #11 · Q2

    Expected P5.6 Finished P3

    +2.6places

Flop 3

Below the estimate
  1. Kevin Magnussen Haas F1 Team · Elo #19 · Q15

    Expected P13.9 Finished P15

    −1.1places
  2. Carlos Sainz Ferrari · Elo #4 · Q6

    Expected P4.9 Finished P6

    −1.1places
  3. Yuki Tsunoda AlphaTauri · Elo #18 · Q9

    Expected P11.0 Finished P12

    −1.0places

15/20 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
M. VerstappenRed Bull #12690 P1 P1.8P1–P5 P1 +0.8places In range
L. NorrisMcLaren #72318 P3 P4.7P1–P8 P2 +2.7places In range
O. PiastriMcLaren #112135 P2 P5.6P2–P9 P3 +2.6places In range
C. LeclercFerrari #52334 P4 P4.4P1–P8 P4 +0.4places In range
L. HamiltonMercedes #32462 P7 P5.0P1–P9 P5 0.0places In range
C. SainzFerrari #42352 P6 P4.9P1–P9 P6 −1.1places In range
G. RussellMercedes #82249 P8 P7.1P3–P11 P7 +0.1places In range
F. AlonsoAston Martin #62328 P10 P7.3P4–P11 P8 −0.7places In range
E. OconAlpine F1 Team #142053 P14 P11.8P8–P15 P9 +2.8places In range
P. GaslyAlpine F1 Team #92151 P12 P9.2P5–P13 P10 −0.8places In range
L. LawsonAlphaTauri #132056 P11 P10.1P6–P14 P11 −0.9places In range
Y. TsunodaAlphaTauri #181963 P9 P11.0P7–P15 P12 −1.0places In range
G. ZhouAlfa Romeo #162015 P19 P14.6P11–P18 P13 +1.6places In range
N. HülkenbergHaas F1 Team #171992 P18 P14.5P11–P18 P14 +0.5places In range
K. MagnussenHaas F1 Team #191946 P15 P13.9P10–P18 P15 −1.1places In range
A. AlbonWilliams #102144 P13 P10.0P6–P14 DNFRetired Not assessedDNF: Retired
L. SargeantWilliams #201925 P20 P16.4P13–P20 DNFRetired Not assessedDNF: Retired
L. StrollAston Martin #122082 P17 P12.3P9–P16 DNFRetired Not assessedDNF: Retired
S. PérezRed Bull #22476 P5 P3.8P1–P7 DNFRetired Not assessedDNF: Retired
V. BottasAlfa Romeo #152049 P16 P12.9P9–P17 DNFRetired Not assessedDNF: Retired
How useful is the model? See the historical check

Average absolute error on 618 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
2.10places
Qualifying only
2.33places
Elo only
2.52places

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

Piastri+50.4 Elo

Largest Elo loss

Pérez−86.1 Elo

Largest grid-to-finish gain

Zhou+6 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 400pts 0
  2. 2 Pérez 223pts 0
  3. 3 Hamilton 190pts 0
  4. 4 Alonso 174pts 0
  5. 5 Sainz 150pts 0

Movement since round 15. 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.

Red Bull

VerstappenP1+7.6 Elo
PérezDNF−86.1 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Verstappen 0.773s faster

McLaren

NorrisP2+32.6 Elo
PiastriP3+50.4 Elo

1 place apart at the finish.

Q3 · Piastri 0.035s faster

Ferrari

LeclercP4+18.7 Elo
SainzP6+4.6 Elo

2 places apart at the finish.

Q3 · Leclerc 0.308s faster

Aston Martin

AlonsoP8−4.6 Elo
StrollDNF−32.5 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Alonso 0.210s faster

Alfa Romeo

ZhouP13+6.3 Elo
BottasDNF−40.2 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Bottas 0.349s 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 (Verstappen)
10
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇳🇱 M.Verstappen 1 +26 400 P1 +7.6 2,698
P2 🇬🇧 L.Norris 3 +1 +18 115 P7 +32.6 2,351
P3 🇦🇺 O.Piastri 2 -1 +15 57 P9 +50.4 2,185
P4 🇲🇨 C.Leclerc 4 +12 135 P6 +18.7 2,353
P5 🇬🇧 L.Hamilton 7 +2 +10 190 P3 -0.7 2,461
P6 🇪🇸 C.Sainz 6 +8 150 P5 +4.6 2,357
P7 🇬🇧 G.Russell 8 +1 +6 115 P8 +11.2 2,260
P8 🇪🇸 F.Alonso 10 +2 +4 174 P4 -4.6 2,323
P9 🇫🇷 E.Ocon 14 +5 +2 38 P12 +25.4 2,078
P10 🇫🇷 P.Gasly 12 +2 +1 46 P11 +6.3 2,157
P11 🇳🇿 L.Lawson 11 0 2 P19 +13.0 2,069
P12 🇯🇵 Y.Tsunoda 9 -3 0 3 P17 +18.6 1,981
P13 🇨🇳 G.Zhou 19 +6 0 4 P16 +6.3 2,021
P14 🇩🇪 N.Hülkenberg 18 +4 0 9 P14 +3.1 1,995
P15 🇩🇰 K.Magnussen 15 0 3 P18 +2.5 1,949
DNF 🇹🇭 A.Albon 13 0 21 P13 -28.9 2,115
DNF 🇺🇸 L.Sargeant 20 0 0 P20 -7.2 1,918
DNF 🇨🇦 L.Stroll 17 0 47 P10 -32.5 2,049
DNF 🇲🇽 S.Pérez 5 0 223 P2 -86.1 2,390
DNF 🇫🇮 V.Bottas 16 0 6 P15 -40.2 2,009
# Driver Q1 Q2 Q3 Gap Elo
1 🇳🇱 M.Verstappen 1:29.878 1:29.964 1:28.877 1:28.877 2,335
2 🇦🇺 O.Piastri 1:30.439 1:30.122 1:29.458 +0.581 2,316
3 🇬🇧 L.Norris 1:30.063 1:30.296 1:29.493 +0.616 2,417
4 🇲🇨 C.Leclerc 1:30.393 1:29.940 1:29.542 +0.665 2,308
5 🇲🇽 S.Pérez 1:30.652 1:29.965 1:29.650 +0.773 1,955
6 🇪🇸 C.Sainz 1:30.651 1:30.067 1:29.850 +0.973 2,061
7 🇬🇧 L.Hamilton 1:30.811 1:30.040 1:29.908 +1.031 2,437
8 🇬🇧 G.Russell 1:30.811 1:30.268 1:30.219 +1.342 2,405
9 🇯🇵 Y.Tsunoda 1:30.733 1:30.204 1:30.303 +1.426 2,130
10 🇪🇸 F.Alonso 1:30.971 1:30.465 1:30.560 +1.683 2,002
11 🇳🇿 L.Lawson 1:30.425 1:30.508 +1.631 2,216
12 🇫🇷 P.Gasly 1:30.843 1:30.509 +1.632 2,203
13 🇹🇭 A.Albon 1:30.941 1:30.537 +1.66 1,979
14 🇫🇷 E.Ocon 1:30.960 1:30.586 +1.709 2,035
15 🇩🇰 K.Magnussen 1:30.976 1:30.665 +1.788 2,056
16 🇫🇮 V.Bottas 1:31.049 +2.172 1,862
17 🇨🇦 L.Stroll 1:31.181 +2.304 1,901
18 🇩🇪 N.Hülkenberg 1:31.299 +2.422 2,099
19 🇨🇳 G.Zhou 1:31.398 +2.521 1,961
20 🇺🇸 L.Sargeant 1,884
Data: Jolpica (Ergast) API

Elo Changes