Miami, USA
A strong driver recovering from a poor qualifying position isn't automatically a surprise. This model estimates a finish from both pre-race Elo and qualifying, then compares it with what happened.
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 703 earlier finishes across 42 races, 2016–2026. No results from this race enter its expectation.
Missing Elo or qualifying stays visible in the full grid. A grid position is not used as a qualifying result.
Expected P17.0 Finished P12
Expected P14.4 Finished P10
Expected P10.9 Finished P7
Expected P3.5 Finished P8
Expected P2.7 Finished P5
Expected P11.6 Finished P13
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.
| Driver | Pre-race Elo | Qualifying | Expected | Result | P1 ← position → P22 | vs expected | Reading |
|---|---|---|---|---|---|---|---|
| A. AntonelliMercedes | #52353 | P1 | P3.1P1–P7 | P1 | +2.1places | In range | |
| L. NorrisMcLaren | #42397 | P4 | P4.3P1–P8 | P2 | +2.3places | In range | |
| O. PiastriMcLaren | #62334 | P7 | P6.3P2–P10 | P3 | +3.3places | In range | |
| G. RussellMercedes | #12507 | P5 | P3.9P1–P8 | P4 | −0.1places | In range | |
| M. VerstappenRed Bull | #22494 | P2 | P2.7P1–P7 | P5 | −2.3places | In range | |
| L. HamiltonFerrari | #72311 | P6 | P6.1P2–P10 | P6 | +0.1places | In range | |
| F. ColapintoAlpine F1 Team | #201988 | P8 | P10.9P7–P15 | P7 | +3.9places | In range | |
| C. LeclercFerrari | #32408 | P3 | P3.5P1–P8 | P8 | −4.5places | In range | |
| C. SainzWilliams | #92139 | P14 Grid P13 | P10.5P6–P15 | P9 | +1.5places | In range | |
| A. AlbonWilliams | #192025 | P16 Grid P15 | P14.4P10–P19 | P10 | +4.4places | In range | |
| O. BearmanHaas F1 Team | #82142 | P13 Grid P12 | P9.8P6–P14 | P11 | −1.2places | In range | |
| G. BortoletoAudi | #182036 | P22 Grid P21 | P17.0P13–P21 | P12 | +5.0places | Above range | |
| E. OconHaas F1 Team | #112123 | P15 Grid P14 | P11.6P7–P16 | P13 | −1.4places | In range | |
| A. LindbladRB F1 Team | #172055 | P17 Grid P16 | P14.3P10–P18 | P14 | +0.3places | In range | |
| F. AlonsoAston Martin | #142081 | P18 Grid P17 | P13.9P10–P18 | P15 | −1.1places | In range | |
| S. PérezCadillac F1 Team | #162069 | P21 Grid P20 | P15.9P12–P20 | P16 | −0.1places | In range | |
| L. StrollAston Martin | #211976 | P19 Grid P18 | P16.4P12–P21 | P17 | −0.6places | In range | |
| V. BottasCadillac F1 Team | #221944 | P20 Grid P19 | P17.2P13–P21 | P18 | −0.8places | In range | |
| N. HülkenbergAudi | #152069 | P11 Grid P10 | P10.8P7–P15 | DNFRetired | — | Not assessedDNF: Retired | |
| L. LawsonRB F1 Team | #102135 | P12 Grid P11 | P9.9P6–P14 | DNFRetired | — | Not assessedDNF: Retired | |
| P. GaslyAlpine F1 Team | #132096 | P10 Grid P9 | P9.8P6–P14 | DNFRetired | — | Not assessedDNF: Retired | |
| I. HadjarRed Bull | #122104 | P9 Grid P22 | P9.0P5–P13 | DNFRetired | — | Not assessedDNF: Retired |
Average absolute error on 703 classified finishes in 42 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.
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.
These are actual rating changes. The expectation model above does not change Elo or fantasy scoring.
Top five in the stored standings. Points include sprint results where applicable.
Movement since round 3. A dash means the earlier standing is unavailable.
Explore the season →Two-driver constructor entries from this race. A result comparison, not an adjustment for strategy or reliability.
3 places apart at the finish.
Q3 · Antonelli 0.399s faster
1 place apart at the finish.
Q3 · Norris 0.317s faster
Non-finish recorded; no finishing gap comparison.
Q3 · Verstappen 0.825s faster
2 places apart at the finish.
Q3 · Leclerc 0.176s faster
Non-finish recorded; no finishing gap comparison.
Q3 · Colapinto 0.048s faster
1 place apart at the finish.
Q2 · Sainz 0.378s faster
2 places apart at the finish.
Q2 · Bearman 0.205s faster
Non-finish recorded; no finishing gap comparison.
Q1 · Hülkenberg 4.092s faster
Non-finish recorded; no finishing gap comparison.
Q1 · Lawson 0.538s faster
2 places apart at the finish.
Q1 · Alonso 0.066s faster
2 places apart at the finish.
Q1 · Bottas 0.338s faster
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 →