Round 1 · 2015 · 15 Mar

Albert Park Grand Prix Circuit

Melbourne, Australia

Results & qualifying →

Race debrief

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Elo × qualifying → race result

Did they beat the expectation?

Experimental · v1
Model & data

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 597 earlier finishes across 35 races, 2005–2014. No results from this race enter its expectation.

18 stored results 18/18 Elo snapshots 17/18 numbered grid slots 18/18 qualifying results

Missing Elo or qualifying stays visible in the full grid. A grid position is not used as a qualifying result.

Top 3

Beat the estimate
  1. Felipe Nasr Sauber · Elo #16 · Q11

    Expected P10.5 Finished P5

    +5.5places
  2. Marcus Ericsson Sauber · Elo #18 · Q16

    Expected P13.2 Finished P8

    +5.2places
  3. Nico Hülkenberg Force India · Elo #9 · Q14

    Expected P9.8 Finished P7

    +2.8places

Flop 3

Below the estimate
  1. Jenson Button McLaren · Elo #7 · Q17

    Expected P10.6 Finished P11

    −0.4places
  2. Daniel Ricciardo Red Bull · Elo #5 · Q7

    Expected P5.7 Finished P6

    −0.3places
11/18 entrants assessed. DNFs excluded. How we rank

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 → P18vs expectedReading
L. HamiltonMercedes #12554 P1 P2.0P1–P6 P1 +1.0places In range
N. RosbergMercedes #22434 P2 P2.7P1–P6 P2 +0.7places In range
S. VettelFerrari #32393 P4 P3.8P1–P8 P3 +0.8places In range
F. MassaWilliams #62360 P3 P4.3P1–P8 P4 +0.3places In range
F. NasrSauber #162000 P11 Grid P10 P10.5P7–P14 P5 +5.5places Above range
D. RicciardoRed Bull #52382 P7 Grid P6 P5.7P2–P9 P6 −0.3places In range
N. HülkenbergForce India #92227 P14 Grid P13 P9.8P6–P14 P7 +2.8places In range
M. EricssonSauber #181882 P16 Grid P15 P13.2P10–P17 P8 +5.2places Above range
C. SainzToro Rosso #162000 P8 Grid P7 P9.2P6–P13 P9 +0.2places In range
S. PérezForce India #112169 P15 Grid P14 P10.8P7–P15 P10 +0.8places In range
J. ButtonMcLaren #72328 P17 Grid P16 P10.6P7–P14 P11 −0.4places In range
K. RäikkönenFerrari #82232 P5 P5.7P2–P9 DNFWheel — Not assessedDNF: Wheel
M. VerstappenToro Rosso #162000 P12 Grid P11 P11.0P7–P15 DNFEngine — Not assessedDNF: Engine
R. GrosjeanLotus F1 #132005 P9 Grid P8 P8.8P5–P13 DNFPower loss — Not assessedDNF: Power loss
P. MaldonadoLotus F1 #142000 P10 Grid P9 P9.5P6–P13 DNFAccident — Not assessedDNF: Accident
D. KvyatRed Bull #122030 P13 Grid P12 P10.3P7–P14 DNSWithdrew — Not assessedDNS: Withdrew
K. MagnussenMcLaren #102224 P18 Grid P17 P11.8P8–P16 DNSWithdrew — Not assessedDNS: Withdrew
V. BottasWilliams #42392 P6 Grid unnumbered P5.0P1–P9 DNSWithdrew — Not assessedDNS: Withdrew
How useful is the model? See the historical check

Average absolute error on 597 classified finishes in 35 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
2.49places
Qualifying only
2.68places
Elo only
3.01places

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

Nasr+61.2 Elo

Largest Elo loss

Bottas−89.6 Elo

Largest grid-to-finish gain

Ericsson+7 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 25pts —
  2. 2 Rosberg 18pts —
  3. 3 Vettel 15pts —
  4. 4 Massa 12pts —
  5. 5 Nasr 10pts —

Opening round: no earlier standings in this season to compare.

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

VettelP3+20.6 Elo
RäikkönenDNF−23.0 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Vettel 0.033s faster

Williams

MassaP4+17.6 Elo
BottasDNS−89.6 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Massa 0.369s faster

Sauber

NasrP5+61.2 Elo
EricssonP8+52.6 Elo

3 places apart at the finish.

Q1 · Nasr 0.946s faster

Red Bull

RicciardoP60.0 Elo
KvyatDNS−23.5 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Ricciardo 0.391s faster

Toro Rosso

SainzP9+31.8 Elo
VerstappenDNF+2.4 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Sainz 0.267s faster

McLaren

ButtonP11−29.4 Elo
MagnussenDNS−58.6 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Button 0.615s faster

Lotus F1

GrosjeanDNF−5.6 Elo
MaldonadoDNF−12.3 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Grosjean 0.920s 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 →