Round 7 · 2012

Circuit Gilles Villeneuve

Montreal, Canada · June 10, 2012 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R072012
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24 stored results 24/24 Elo snapshots 24/24 numbered grid slots 0/24 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 509 earlier finishes across 33 races, 2002–2012. No results from this race enter its expectation.

0/24 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.

0/24 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 → P24vs expectedReading
L. HamiltonMcLaren #42386 No error range P1 Not assessedQualifying unavailable
R. GrosjeanLotus F1 #152033 No error range P2 Not assessedQualifying unavailable
S. PérezSauber #102152 No error range P3 Not assessedQualifying unavailable
S. VettelRed Bull #22504 No error range P4 Not assessedQualifying unavailable
F. AlonsoFerrari #12510 No error range P5 Not assessedQualifying unavailable
N. RosbergMercedes #52358 No error range P6 Not assessedQualifying unavailable
M. WebberRed Bull #32486 No error range P7 Not assessedQualifying unavailable
K. RäikkönenLotus F1 #62336 No error range P8 Not assessedQualifying unavailable
K. KobayashiSauber #122096 No error range P9 Not assessedQualifying unavailable
F. MassaFerrari #92212 No error range P10 Not assessedQualifying unavailable
P. di RestaForce India #82237 No error range P11 Not assessedQualifying unavailable
N. HülkenbergForce India #112150 No error range P12 Not assessedQualifying unavailable
P. MaldonadoWilliams #162011 No error range P13 Not assessedQualifying unavailable
D. RicciardoToro Rosso #191991 No error range P14 Not assessedQualifying unavailable
J. VergneToro Rosso #132090 No error range P15 Not assessedQualifying unavailable
J. ButtonMcLaren #72322 No error range P16 Not assessedQualifying unavailable
B. SennaWilliams #142041 No error range P17 Not assessedQualifying unavailable
H. KovalainenCaterham #201966 No error range P18 Not assessedQualifying unavailable
V. PetrovCaterham #181991 No error range P19 Not assessedQualifying unavailable
C. PicMarussia #231902 No error range P20 Not assessedQualifying unavailable
T. GlockMarussia #211906 No error range DNFSuspension Not assessedQualifying unavailable
M. SchumacherMercedes #172000 No error range DNFRear wing Not assessedQualifying unavailable
P. de la RosaHRT #221903 No error range DNFBrakes Not assessedQualifying unavailable
N. KarthikeyanHRT #241830 No error range DNFSuspension Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 509 classified finishes in 33 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
2.52places
Qualifying only
2.63places
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 loss

Button−49.0 Elo

Largest grid-to-finish gain

Pérez+12 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 88pts +3
  2. 2 Alonso 86pts −1
  3. 3 Vettel 85pts −1
  4. 4 Webber 79pts −1
  5. 5 Rosberg 67pts 0

Movement since round 6. 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.

Marussia

PicP20−9.8 Elo
GlockDNF−16.3 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 →
24
Result Entries
Avg Elo
Highest Elo (Vettel)
4
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 L.Hamilton 2 +1 +25 88 P1 +32.9 2,419
P2 🇫🇷 R.Grosjean 7 +5 +18 53 P7 +79.1 2,112
P3 🇲🇽 S.Pérez 15 +12 +15 37 P9 +54.3 2,206
P4 🇩🇪 S.Vettel 1 -3 +12 85 P3 +2.3 2,506
P5 🇪🇸 F.Alonso 3 -2 +10 86 P2 -4.2 2,505
P6 🇩🇪 N.Rosberg 5 -1 +8 67 P5 +6.4 2,364
P7 🇦🇺 M.Webber 4 -3 +6 79 P4 -14.0 2,472
P8 🇫🇮 K.Räikkönen 12 +4 +4 55 P6 -2.8 2,333
P9 🇯🇵 K.Kobayashi 11 +2 +2 21 P11 +27.1 2,123
P10 🇧🇷 F.Massa 6 -4 +1 11 P14 +2.8 2,215
P11 🇬🇧 P.di Resta 8 -3 0 21 P12 -6.9 2,230
P12 🇩🇪 N.Hülkenberg 13 +1 0 7 P15 +0.5 2,150
P13 🇻🇪 P.Maldonado 22 +9 0 29 P10 +16.5 2,027
P14 🇦🇺 D.Ricciardo 14 0 2 P17 +13.4 2,005
P15 🇫🇷 J.Vergne 19 +4 0 4 P16 -8.1 2,082
P16 🇬🇧 J.Button 10 -6 0 45 P8 -49.0 2,273
P17 🇧🇷 B.Senna 16 -1 0 15 P13 -12.2 2,029
P18 🇫🇮 H.Kovalainen 17 -1 0 0 P19 -6.7 1,959
P19 🇷🇺 V.Petrov 18 -1 0 0 P23 -16.6 1,975
P20 🇫🇷 C.Pic 23 +3 0 0 P21 -9.8 1,892
DNF 🇩🇪 T.Glock 21 0 0 P20 -16.3 1,890
DNF 🇩🇪 M.Schumacher 9 0 2 P18 -35.8 1,964
DNF 🇪🇸 P.de la Rosa 20 0 0 P24 -27.9 1,875
DNF 🇮🇳 N.Karthikeyan 24 0 0 P22 -24.8 1,805

Qualifying results are not available for this race.

Elo Changes