Round 3 · 2023

Albert Park Grand Prix Circuit

Melbourne, Australia · April 02, 2023 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R032023
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20 stored results 20/20 Elo snapshots 18/20 numbered grid slots 0/20 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 621 earlier finishes across 37 races, 2013–2022. No results from this race enter its expectation.

0/20 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

No comparable estimates available for this race yet.

Flop 3

Below the estimate

No comparable estimates available for this race yet.

0/20 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 #12605 No error range P1 Not assessedQualifying unavailable
L. HamiltonMercedes #42397 No error range P2 Not assessedQualifying unavailable
F. AlonsoAston Martin #72225 No error range P3 Not assessedQualifying unavailable
L. StrollAston Martin #112100 No error range P4 Not assessedQualifying unavailable
S. PérezRed Bull #22484 Grid unnumbered No error range P5 Not assessedQualifying unavailable
L. NorrisMcLaren #92157 No error range P6 Not assessedQualifying unavailable
N. HülkenbergHaas F1 Team #122085 No error range P7 Not assessedQualifying unavailable
O. PiastriMcLaren #201967 No error range P8 Not assessedQualifying unavailable
G. ZhouAlfa Romeo #162023 No error range P9 Not assessedQualifying unavailable
Y. TsunodaAlphaTauri #152027 No error range P10 Not assessedQualifying unavailable
V. BottasAlfa Romeo #132057 Grid unnumbered No error range P11 Not assessedQualifying unavailable
C. SainzFerrari #62337 No error range P12 Not assessedQualifying unavailable
P. GaslyAlpine F1 Team #102128 No error range DNFCollision Not assessedQualifying unavailable
E. OconAlpine F1 Team #82208 No error range DNFCollision Not assessedQualifying unavailable
N. de VriesAlphaTauri #142029 No error range DNFCollision Not assessedQualifying unavailable
L. SargeantWilliams #192003 No error range DNFCollision Not assessedQualifying unavailable
K. MagnussenHaas F1 Team #182013 No error range DNFAccident Not assessedQualifying unavailable
G. RussellMercedes #32412 No error range DNFEngine Not assessedQualifying unavailable
A. AlbonWilliams #172019 No error range DNFAccident Not assessedQualifying unavailable
C. LeclercFerrari #52360 No error range DNFCollision Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 621 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
2.14places
Qualifying only
2.33places
Elo only
2.58places

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

Stroll+49.0 Elo

Largest Elo loss

Leclerc−81.3 Elo

Largest grid-to-finish gain

Piastri+8 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 69pts 0
  2. 2 Pérez 54pts 0
  3. 3 Alonso 45pts 0
  4. 4 Hamilton 38pts +1
  5. 5 Sainz 20pts −1

Movement since round 2. 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

SainzP12−30.6 Elo
LeclercDNF−81.3 Elo

Non-finish recorded; no finishing gap comparison.

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 🇳🇱 M.Verstappen 1 +25 69 P1 +11.3 2,616
P2 🇬🇧 L.Hamilton 3 +1 +18 38 P4 +22.8 2,419
P3 🇪🇸 F.Alonso 4 +1 +15 45 P3 +37.7 2,263
P4 🇨🇦 L.Stroll 6 +2 +12 20 P6 +49.0 2,149
P5 🇲🇽 S.Pérez 0 +11 54 P2 -3.8 2,480
P6 🇬🇧 L.Norris 13 +7 +8 8 P8 +29.1 2,186
P7 🇩🇪 N.Hülkenberg 10 +3 +6 6 P9 +33.1 2,118
P8 🇦🇺 O.Piastri 16 +8 +4 4 P13 +42.5 2,010
P9 🇨🇳 G.Zhou 17 +8 +2 2 P15 +29.5 2,052
P10 🇯🇵 Y.Tsunoda 12 +2 +1 1 P16 +22.9 2,050
P11 🇫🇮 V.Bottas 0 0 4 P11 +12.9 2,070
P12 🇪🇸 C.Sainz 5 -7 0 20 P5 -30.6 2,307
DNF 🇫🇷 P.Gasly 9 0 4 P14 -8.9 2,119
DNF 🇫🇷 E.Ocon 11 0 4 P12 -26.1 2,182
DNF 🇳🇱 N.de Vries 15 0 0 P20 -7.4 2,022
DNF 🇺🇸 L.Sargeant 18 0 0 P19 -10.0 1,993
DNF 🇩🇰 K.Magnussen 14 0 1 P17 -17.3 1,995
DNF 🇬🇧 G.Russell 2 0 18 P7 -75.0 2,337
DNF 🇹🇭 A.Albon 8 0 1 P18 -30.1 1,989
DNF 🇲🇨 C.Leclerc 7 0 6 P10 -81.3 2,278

Qualifying results are not available for this race.

Elo Changes