Round 11 · 2023

Hungaroring

Budapest, Hungary · July 23, 2023 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R112023
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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 601 earlier finishes across 36 races, 2013–2023. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. George Russell Mercedes · Elo #7 · Q18

    Expected P11.2 Finished P6

    +5.2places
  2. Sergio Pérez Red Bull · Elo #3 · Q9

    Expected P5.9 Finished P3

    +2.9places
  3. Lando Norris McLaren · Elo #8 · Q3

    Expected P4.9 Finished P2

    +2.9places

Flop 3

Below the estimate
  1. Guanyu Zhou Alfa Romeo · Elo #16 · Q5

    Expected P8.4 Finished P16

    −7.6places
  2. Fernando Alonso Aston Martin · Elo #4 · Q8

    Expected P5.8 Finished P9

    −3.2places
  3. Valtteri Bottas Alfa Romeo · Elo #15 · Q7

    Expected P9.0 Finished P12

    −3.0places

17/20 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 #12676 P2 P2.2P1–P6 P1 +1.2places In range
L. NorrisMcLaren #82215 P3 P4.9P1–P9 P2 +2.9places In range
S. PérezRed Bull #32448 P9 P5.9P2–P10 P3 +2.9places In range
L. HamiltonMercedes #22449 P1 P2.1P1–P6 P4 −1.9places In range
O. PiastriMcLaren #132088 P4 P7.0P3–P11 P5 +2.0places In range
G. RussellMercedes #72322 P18 P11.2P8–P15 P6 +5.2places Above range
C. LeclercFerrari #52339 P6 P5.3P2–P9 P7 −1.7places In range
C. SainzFerrari #62336 P11 P7.8P4–P11 P8 −0.2places In range
F. AlonsoAston Martin #42379 P8 P5.8P2–P10 P9 −3.2places In range
L. StrollAston Martin #92148 P14 P10.1P6–P14 P10 +0.1places In range
A. AlbonWilliams #142087 P16 P12.6P9–P16 P11 +1.6places In range
V. BottasAlfa Romeo #152045 P7 P9.0P5–P13 P12 −3.0places In range
D. RicciardoAlphaTauri #122098 P13 P10.6P7–P14 P13 −2.4places In range
N. HülkenbergHaas F1 Team #181999 P10 P11.3P8–P15 P14 −2.7places In range
Y. TsunodaAlphaTauri #172015 P17 P14.0P10–P18 P15 −1.0places In range
G. ZhouAlfa Romeo #162029 P5 P8.4P5–P12 P16 −7.6places Below range
K. MagnussenHaas F1 Team #201924 P19 P15.9P12–P20 P17 −1.1places In range
L. SargeantWilliams #191938 P20 P16.0P12–P20 DNFRetired Not assessedDNF: Retired
E. OconAlpine F1 Team #102140 P12 P9.5P6–P13 DNFCollision damage Not assessedDNF: Collision damage
P. GaslyAlpine F1 Team #112116 P15 P11.2P7–P15 DNFCollision damage Not assessedDNF: Collision damage
How useful is the model? See the historical check

Average absolute error on 601 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
2.09places
Qualifying only
2.30places
Elo only
2.53places

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

Norris+46.2 Elo

Largest Elo loss

Gasly−48.4 Elo

Largest grid-to-finish gain

Russell+12 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 281pts 0
  2. 2 Pérez 171pts 0
  3. 3 Alonso 139pts 0
  4. 4 Hamilton 133pts 0
  5. 5 Russell 90pts +1

Movement since round 10. 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.

McLaren

NorrisP2+46.2 Elo
PiastriP5+45.6 Elo

3 places apart at the finish.

Q3 · Norris 0.211s faster

Ferrari

LeclercP7+0.4 Elo
SainzP8−5.3 Elo

1 place apart at the finish.

Q2 · Leclerc 0.123s faster

Williams

AlbonP11+9.7 Elo
SargeantDNF−13.8 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Albon 0.331s faster

Alfa Romeo

BottasP12+9.3 Elo
ZhouP16−12.8 Elo

4 places apart at the finish.

Q3 · Zhou 0.063s faster

Alpine F1 Team

OconDNF−45.6 Elo
GaslyDNF−48.4 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Ocon 0.376s 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)
3
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇳🇱 M.Verstappen 2 +1 +26 281 P1 +8.1 2,684
P2 🇬🇧 L.Norris 3 +1 +18 60 P8 +46.2 2,262
P3 🇲🇽 S.Pérez 9 +6 +15 171 P2 +12.6 2,461
P4 🇬🇧 L.Hamilton 1 -3 +12 133 P4 +6.5 2,456
P5 🇦🇺 O.Piastri 4 -1 +10 27 P11 +45.6 2,133
P6 🇬🇧 G.Russell 18 +12 +8 90 P5 +8.3 2,331
P7 🇲🇨 C.Leclerc 6 -1 +6 80 P7 +0.4 2,339
P8 🇪🇸 C.Sainz 11 +3 +4 87 P6 -5.3 2,331
P9 🇪🇸 F.Alonso 8 -1 +2 139 P3 -16.3 2,363
P10 🇨🇦 L.Stroll 14 +4 +1 45 P9 +7.4 2,155
P11 🇹🇭 A.Albon 16 +5 0 11 P13 +9.7 2,097
P12 🇫🇮 V.Bottas 7 -5 0 5 P15 +9.3 2,054
P13 🇦🇺 D.Ricciardo 13 0 0 P21 -3.8 2,094
P14 🇩🇪 N.Hülkenberg 10 -4 0 9 P14 +3.1 2,002
P15 🇯🇵 Y.Tsunoda 17 +2 0 2 P17 -4.9 2,010
P16 🇨🇳 G.Zhou 5 -11 0 4 P16 -12.8 2,017
P17 🇩🇰 K.Magnussen 19 +2 0 2 P18 -6.3 1,918
DNF 🇺🇸 L.Sargeant 20 0 0 P19 -13.8 1,924
DNF 🇫🇷 E.Ocon 12 0 31 P10 -45.6 2,094
DNF 🇫🇷 P.Gasly 15 0 16 P12 -48.4 2,068
# Driver Q1 Q2 Q3 Gap Elo
1 🇬🇧 L.Hamilton 1:18.577 1:17.427 1:16.609 1:16.609 2,437
2 🇳🇱 M.Verstappen 1:18.318 1:17.547 1:16.612 +0.003 2,335
3 🇬🇧 L.Norris 1:18.697 1:17.328 1:16.694 +0.085 2,417
4 🇦🇺 O.Piastri 1:18.464 1:17.571 1:16.905 +0.296 2,316
5 🇨🇳 G.Zhou 1:18.143 1:17.700 1:16.971 +0.362 1,961
6 🇲🇨 C.Leclerc 1:18.440 1:17.580 1:16.992 +0.383 2,308
7 🇫🇮 V.Bottas 1:18.775 1:17.563 1:17.034 +0.425 1,862
8 🇪🇸 F.Alonso 1:18.580 1:17.701 1:17.035 +0.426 2,002
9 🇲🇽 S.Pérez 1:18.360 1:17.675 1:17.045 +0.436 1,955
10 🇩🇪 N.Hülkenberg 1:18.695 1:17.652 1:17.186 +0.577 2,099
11 🇪🇸 C.Sainz 1:18.393 1:17.703 +1.094 2,061
12 🇫🇷 E.Ocon 1:18.854 1:17.841 +1.232 2,035
13 🇦🇺 D.Ricciardo 1:18.906 1:18.002 +1.393 2,055
14 🇨🇦 L.Stroll 1:18.782 1:18.144 +1.535 1,901
15 🇫🇷 P.Gasly 1:18.743 1:18.217 +1.608 2,203
16 🇹🇭 A.Albon 1:18.917 +2.308 1,979
17 🇯🇵 Y.Tsunoda 1:18.919 +2.31 2,130
18 🇬🇧 G.Russell 1:19.027 +2.418 2,405
19 🇩🇰 K.Magnussen 1:19.206 +2.597 2,056
20 🇺🇸 L.Sargeant 1:19.248 +2.639 1,884
Data: Jolpica (Ergast) API

Elo Changes