Shanghai, China
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 668 earlier finishes across 40 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 P12.0 Finished P7
Expected P10.5 Finished P6
Expected P17.2 Finished P13
Expected P10.6 Finished P14
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 | #62282 | P1 | P3.5P1–P8 | P1 | +2.5places | In range | |
| G. RussellMercedes | #22495 | P2 | P2.8P1–P7 | P2 | +0.8places | In range | |
| L. HamiltonFerrari | #72271 | P3 | P4.7P1–P9 | P3 | +1.7places | In range | |
| C. LeclercFerrari | #42381 | P4 | P4.3P1–P8 | P4 | +0.3places | In range | |
| O. BearmanHaas F1 Team | #82167 | P10 | P8.3P4–P12 | P5 | +3.3places | In range | |
| P. GaslyAlpine F1 Team | #202013 | P7 | P10.5P6–P15 | P6 | +4.5places | In range | |
| L. LawsonRB F1 Team | #142084 | P14 | P12.0P8–P16 | P7 | +5.0places | Above range | |
| I. HadjarRed Bull | #152068 | P9 | P10.0P6–P14 | P8 | +2.0places | In range | |
| C. SainzWilliams | #92140 | P17 | P11.9P8–P16 | P9 | +2.9places | In range | |
| F. ColapintoAlpine F1 Team | #211954 | P12 | P13.2P9–P17 | P10 | +3.2places | In range | |
| N. HülkenbergAudi | #182032 | P11 | P11.8P8–P16 | P11 | +0.8places | In range | |
| A. LindbladRB F1 Team | #172040 | P15 | P13.4P9–P18 | P12 | +1.4places | In range | |
| V. BottasCadillac F1 Team | #221935 | P20 Grid P19 | P17.2P13–P21 | P13 | +4.2places | In range | |
| E. OconHaas F1 Team | #112115 | P13 | P10.6P6–P15 | P14 | −3.4places | In range | |
| S. PérezCadillac F1 Team | #132095 | P22 Grid P21 | P15.4P11–P20 | P15 | +0.4places | In range | |
| M. VerstappenRed Bull | #12578 | P8 | P5.3P1–P9 | DNFRetired | — | Not assessedDNF: Retired | |
| F. AlonsoAston Martin | #102129 | P19 Grid P18 | P13.1P9–P17 | DNFRetired | — | Not assessedDNF: Retired | |
| L. StrollAston Martin | #192016 | P21 Grid P20 | P16.8P13–P21 | DNFRetired | — | Not assessedDNF: Retired | |
| O. PiastriMcLaren | #52366 | P5 | P5.1P1–P9 | DNSDid not start | — | Not assessedDNS: Did not start | |
| L. NorrisMcLaren | #32467 | P6 | P4.9P1–P9 | DNSDid not start | — | Not assessedDNS: Did not start | |
| G. BortoletoAudi | #162060 | P16 | P13.5P9–P18 | DNSDid not start | — | Not assessedDNS: Did not start | |
| A. AlbonWilliams | #122098 | P18 Grid P22 | P13.3P9–P17 | DNSDid not start | — | Not assessedDNS: Did not start |
Average absolute error on 668 classified finishes in 40 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 1. 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.
1 place apart at the finish.
Q3 · Antonelli 0.222s faster
1 place apart at the finish.
Q3 · Hamilton 0.013s faster
9 places apart at the finish.
Q2 · Bearman 0.341s faster
4 places apart at the finish.
Q2 · Gasly 0.354s faster
5 places apart at the finish.
Q2 · Lawson 0.019s faster
Non-finish recorded; no finishing gap comparison.
Q3 · Verstappen 0.119s faster
Non-finish recorded; no finishing gap comparison.
Q1 · Sainz 0.455s faster
Non-finish recorded; no finishing gap comparison.
Q2 · Hülkenberg 0.611s faster
2 places apart at the finish.
Q1 · Bottas 1.470s faster
Non-finish recorded; no finishing gap comparison.
Q1 · Alonso 0.792s faster
Non-finish recorded; no finishing gap comparison.
Q3 · Piastri 0.058s 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 →