Round 11 · 2024

Red Bull Ring

Spielberg, Austria · June 30, 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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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 607 earlier finishes across 37 races, 2014–2024. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Oscar Piastri McLaren · Elo #7 · Q7

    Expected P6.3 Finished P2

    +4.3places
  2. Kevin Magnussen Haas F1 Team · Elo #18 · Q12

    Expected P12.2 Finished P8

    +4.2places
  3. Nico Hülkenberg Haas F1 Team · Elo #14 · Q9

    Expected P9.6 Finished P6

    +3.6places

Flop 3

Below the estimate
  1. Lando Norris McLaren · Elo #2 · Q2

    Expected P2.5 Finished P20

    −17.5places
  2. Fernando Alonso Aston Martin · Elo #9 · Q15

    Expected P10.5 Finished P18

    −7.5places
  3. Charles Leclerc Ferrari · Elo #3 · Q6

    Expected P4.6 Finished P11

    −6.4places

20/20 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
G. RussellMercedes #52353 P3 P3.9P1–P8 P1 +2.9places In range
O. PiastriMcLaren #72327 P7 P6.3P3–P10 P2 +4.3places Above range
C. SainzFerrari #42353 P4 P4.0P1–P8 P3 +1.0places In range
L. HamiltonMercedes #62332 P5 P5.1P1–P9 P4 +1.1places In range
M. VerstappenRed Bull #12669 P1 P1.7P1–P5 P5 −3.3places In range
N. HülkenbergHaas F1 Team #142075 P9 P9.6P6–P13 P6 +3.6places In range
S. PérezRed Bull #82302 P8 P7.1P3–P11 P7 +0.1places In range
K. MagnussenHaas F1 Team #181966 P12 P12.2P9–P16 P8 +4.2places Above range
D. RicciardoRB F1 Team #152047 P11 P10.8P7–P14 P9 +1.8places In range
P. GaslyAlpine F1 Team #112108 P13 P10.3P7–P14 P10 +0.3places In range
C. LeclercFerrari #32389 P6 P4.6P1–P8 P11 −6.4places Below range
E. OconAlpine F1 Team #122092 P10 P9.3P6–P13 P12 −2.7places In range
L. StrollAston Martin #102117 P17 P11.7P8–P15 P13 −1.3places In range
Y. TsunodaRB F1 Team #132076 P14 P11.4P8–P15 P14 −2.6places In range
A. AlbonWilliams #161989 P16 P13.3P10–P17 P15 −1.7places In range
V. BottasSauber #191955 P18 P15.2P12–P19 P16 −0.8places In range
G. ZhouSauber #171985 P20 P15.3P12–P19 P17 −1.7places In range
F. AlonsoAston Martin #92224 P15 P10.5P7–P14 P18 −7.5places Below range
L. SargeantWilliams #201866 P19 P15.9P12–P20 P19 −3.1places In range
L. NorrisMcLaren #22481 P2 P2.5P1–P6 P20 −17.5places Below range
How useful is the model? See the historical check

Average absolute error on 607 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
2.03places
Qualifying only
2.26places
Elo only
2.46places

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

Norris−84.8 Elo

Largest grid-to-finish gain

Piastri+5 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 237pts 0
  2. 2 Norris 156pts 0
  3. 3 Leclerc 150pts 0
  4. 4 Sainz 135pts 0
  5. 5 Pérez 118pts 0

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

PiastriP2+29.2 Elo
NorrisP20−84.8 Elo

18 places apart at the finish.

Q3 · Norris 0.330s faster

Ferrari

SainzP3+20.9 Elo
LeclercP11−26.9 Elo

8 places apart at the finish.

Q3 · Sainz 0.193s faster

Williams

AlbonP15−2.4 Elo
SargeantP19−12.3 Elo

4 places apart at the finish.

Q1 · Albon 0.120s faster

Sauber

BottasP16−4.2 Elo
ZhouP17−12.9 Elo

1 place apart at the finish.

Q1 · Bottas 0.214s 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)
8
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 G.Russell 3 +2 +25 111 P7 +31.9 2,385
P2 🇦🇺 O.Piastri 7 +5 +18 112 P6 +29.2 2,356
P3 🇪🇸 C.Sainz 4 +1 +15 135 P4 +20.9 2,374
P4 🇬🇧 L.Hamilton 5 +1 +12 85 P8 +17.7 2,350
P5 🇳🇱 M.Verstappen 1 -4 +10 237 P1 -14.3 2,655
P6 🇩🇪 N.Hülkenberg 9 +3 +8 14 P12 +37.3 2,113
P7 🇲🇽 S.Pérez 8 +1 +6 118 P5 +4.5 2,306
P8 🇩🇰 K.Magnussen 12 +4 +4 5 P16 +38.6 2,005
P9 🇦🇺 D.Ricciardo 11 +2 +2 11 P13 +24.1 2,071
P10 🇫🇷 P.Gasly 13 +3 +1 6 P15 +11.3 2,120
P11 🇲🇨 C.Leclerc 6 -5 0 150 P3 -26.9 2,362
P12 🇫🇷 E.Ocon 10 -2 0 3 P17 +2.2 2,095
P13 🇨🇦 L.Stroll 17 +4 0 17 P11 -6.3 2,110
P14 🇯🇵 Y.Tsunoda 14 0 19 P10 -6.8 2,069
P15 🇹🇭 A.Albon 16 +1 0 2 P18 -2.4 1,987
P16 🇫🇮 V.Bottas 18 +2 0 0 P20 -4.2 1,951
P17 🇨🇳 G.Zhou 20 +3 0 0 P19 -12.9 1,972
P18 🇪🇸 F.Alonso 15 -3 0 41 P9 -46.9 2,177
P19 🇺🇸 L.Sargeant 19 0 0 P21 -12.3 1,853
P20 🇬🇧 L.Norris 2 -18 0 156 P2 -84.8 2,396
# Driver Q1 Q2 Q3 Gap Elo
1 🇳🇱 M.Verstappen 1:05.336 1:04.469 1:04.314 1:04.314 2,335
2 🇬🇧 L.Norris 1:05.450 1:05.103 1:04.718 +0.404 2,417
3 🇬🇧 G.Russell 1:05.585 1:05.016 1:04.840 +0.526 2,405
4 🇪🇸 C.Sainz 1:05.263 1:05.016 1:04.851 +0.537 2,061
5 🇬🇧 L.Hamilton 1:05.541 1:05.053 1:04.903 +0.589 2,437
6 🇲🇨 C.Leclerc 1:05.509 1:05.104 1:05.044 +0.73 2,308
7 🇦🇺 O.Piastri 1:05.311 1:05.070 1:05.048 +0.734 2,316
8 🇲🇽 S.Pérez 1:05.587 1:05.144 1:05.202 +0.888 1,955
9 🇩🇪 N.Hülkenberg 1:05.596 1:05.262 1:05.385 +1.071 2,099
10 🇫🇷 E.Ocon 1:05.574 1:05.274 1:05.883 +1.569 2,035
11 🇦🇺 D.Ricciardo 1:05.569 1:05.289 +0.975 2,055
12 🇩🇰 K.Magnussen 1:05.508 1:05.347 +1.033 2,056
13 🇫🇷 P.Gasly 1:05.598 1:05.359 +1.045 2,203
14 🇯🇵 Y.Tsunoda 1:05.563 1:05.412 +1.098 2,130
15 🇪🇸 F.Alonso 1:05.656 1:05.639 +1.325 2,002
16 🇹🇭 A.Albon 1:05.736 +1.422 1,979
17 🇨🇦 L.Stroll 1:05.819 +1.505 1,901
18 🇫🇮 V.Bottas 1:05.847 +1.533 1,862
19 🇺🇸 L.Sargeant 1:05.856 +1.542 1,884
20 🇨🇳 G.Zhou 1:06.061 +1.747 1,961
Data: Jolpica (Ergast) API

Elo Changes