Round 7 · 2016

Circuit Gilles Villeneuve

Montreal, Canada · June 12, 2016 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R072016
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22 stored results 22/22 Elo snapshots 22/22 numbered grid slots 0/22 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 594 earlier finishes across 35 races, 2006–2016. No results from this race enter its expectation.

0/22 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.

0/22 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 → P22vs expectedReading
L. HamiltonMercedes #12511 No error range P1 Not assessedQualifying unavailable
S. VettelFerrari #42367 No error range P2 Not assessedQualifying unavailable
V. BottasWilliams #52294 No error range P3 Not assessedQualifying unavailable
M. VerstappenRed Bull #92191 No error range P4 Not assessedQualifying unavailable
N. RosbergMercedes #22449 No error range P5 Not assessedQualifying unavailable
K. RäikkönenFerrari #72277 No error range P6 Not assessedQualifying unavailable
D. RicciardoRed Bull #32368 No error range P7 Not assessedQualifying unavailable
N. HülkenbergForce India #152112 No error range P8 Not assessedQualifying unavailable
C. SainzToro Rosso #102180 No error range P9 Not assessedQualifying unavailable
S. PérezForce India #62282 No error range P10 Not assessedQualifying unavailable
F. AlonsoMcLaren #162092 No error range P11 Not assessedQualifying unavailable
D. KvyatToro Rosso #112169 No error range P12 Not assessedQualifying unavailable
E. GutiérrezHaas F1 Team #182024 No error range P13 Not assessedQualifying unavailable
R. GrosjeanHaas F1 Team #122143 No error range P14 Not assessedQualifying unavailable
M. EricssonSauber #172050 No error range P15 Not assessedQualifying unavailable
K. MagnussenRenault #142113 No error range P16 Not assessedQualifying unavailable
P. WehrleinManor Marussia #202003 No error range P17 Not assessedQualifying unavailable
F. NasrSauber #192018 No error range P18 Not assessedQualifying unavailable
R. HaryantoManor Marussia #221939 No error range P19 Not assessedQualifying unavailable
F. MassaWilliams #82277 No error range DNFRetired Not assessedQualifying unavailable
J. PalmerRenault #211962 No error range DNFRetired Not assessedQualifying unavailable
J. ButtonMcLaren #132139 No error range DNFPower Unit Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 594 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
2.36places
Qualifying only
2.56places
Elo only
2.90places

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

Massa−66.6 Elo

Largest grid-to-finish gain

Sainz+11 places

The bigger picture

Championship after this round

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

  1. 1 Rosberg 116pts 0
  2. 2 Hamilton 107pts 0
  3. 3 Vettel 78pts +2
  4. 4 Ricciardo 72pts −1
  5. 5 Räikkönen 69pts −1

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.

Williams

BottasP3+32.6 Elo
MassaDNF−66.6 Elo

Non-finish recorded; no finishing gap comparison.

McLaren

AlonsoP11+16.5 Elo
ButtonDNF−56.7 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 →
22
Result Entries
Avg Elo
Highest Elo (Hamilton)
3
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 L.Hamilton 1 +25 107 P2 +18.2 2,529
P2 🇩🇪 S.Vettel 3 +1 +18 78 P3 +28.3 2,395
P3 🇫🇮 V.Bottas 7 +4 +15 44 P7 +32.6 2,327
P4 🇳🇱 M.Verstappen 5 +1 +12 50 P6 +42.6 2,233
P5 🇩🇪 N.Rosberg 2 -3 +10 116 P1 +0.4 2,450
P6 🇫🇮 K.Räikkönen 6 +8 69 P5 +17.2 2,294
P7 🇦🇺 D.Ricciardo 4 -3 +6 72 P4 -1.8 2,366
P8 🇩🇪 N.Hülkenberg 9 +1 +4 18 P13 +31.3 2,144
P9 🇪🇸 C.Sainz 20 +11 +2 18 P14 +14.5 2,194
P10 🇲🇽 S.Pérez 11 +1 +1 24 P9 -7.6 2,274
P11 🇪🇸 F.Alonso 10 -1 0 18 P12 +16.5 2,108
P12 🇷🇺 D.Kvyat 15 +3 0 22 P10 -1.7 2,167
P13 🇲🇽 E.Gutiérrez 13 0 0 P18 +14.8 2,039
P14 🇫🇷 R.Grosjean 14 0 22 P11 -9.5 2,133
P15 🇸🇪 M.Ericsson 21 +6 0 0 P20 -1.0 2,049
P16 🇩🇰 K.Magnussen 22 +6 0 6 P15 -16.7 2,096
P17 🇩🇪 P.Wehrlein 17 0 0 P21 -6.1 1,997
P18 🇧🇷 F.Nasr 18 0 0 P22 -14.3 2,004
P19 🇮🇩 R.Haryanto 19 0 0 P23 -9.8 1,929
DNF 🇧🇷 F.Massa 8 0 37 P8 -66.6 2,210
DNF 🇬🇧 J.Palmer 16 0 0 P19 -24.6 1,937
DNF 🇬🇧 J.Button 12 0 5 P16 -56.7 2,082

Qualifying results are not available for this race.

Elo Changes