Round 9 · 2016

Red Bull Ring

Spielberg, Austria · July 03, 2016 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R092016
Share this debrief
Preview share card ↗
22 stored results 22/22 Elo snapshots 20/22 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 #12522 No error range P1 Not assessedQualifying unavailable
M. VerstappenRed Bull #82245 No error range P2 Not assessedQualifying unavailable
K. RäikkönenFerrari #62321 No error range P3 Not assessedQualifying unavailable
N. RosbergMercedes #22475 No error range P4 Not assessedQualifying unavailable
D. RicciardoRed Bull #42365 No error range P5 Not assessedQualifying unavailable
J. ButtonMcLaren #142100 No error range P6 Not assessedQualifying unavailable
R. GrosjeanHaas F1 Team #122131 No error range P7 Not assessedQualifying unavailable
C. SainzToro Rosso #112135 No error range P8 Not assessedQualifying unavailable
V. BottasWilliams #52337 No error range P9 Not assessedQualifying unavailable
P. WehrleinManor Marussia #201973 No error range P10 Not assessedQualifying unavailable
E. GutiérrezHaas F1 Team #182033 No error range P11 Not assessedQualifying unavailable
J. PalmerRenault #211951 No error range P12 Not assessedQualifying unavailable
F. NasrSauber #192027 No error range P13 Not assessedQualifying unavailable
K. MagnussenRenault #152094 No error range P14 Not assessedQualifying unavailable
M. EricssonSauber #172036 No error range P15 Not assessedQualifying unavailable
R. HaryantoManor Marussia #221926 No error range P16 Not assessedQualifying unavailable
S. PérezForce India #72310 No error range DNFBrakes Not assessedQualifying unavailable
F. AlonsoMcLaren #162074 No error range DNFBattery Not assessedQualifying unavailable
N. HülkenbergForce India #102164 No error range DNFBrakes Not assessedQualifying unavailable
F. MassaWilliams #92214 Grid unnumbered No error range DNFBrakes Not assessedQualifying unavailable
S. VettelFerrari #32420 No error range DNFTyre Not assessedQualifying unavailable
D. KvyatToro Rosso #132106 Grid unnumbered No error range DNFRetired 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

Vettel−91.3 Elo

Largest grid-to-finish gain

Nasr+8 places

The bigger picture

Championship after this round

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

  1. 1 Rosberg 153pts 0
  2. 2 Hamilton 142pts 0
  3. 3 Vettel 96pts 0
  4. 4 Räikkönen 96pts 0
  5. 5 Ricciardo 88pts 0

Movement since round 8. 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.

McLaren

ButtonP6+44.7 Elo
AlonsoDNF−23.3 Elo

Non-finish recorded; no finishing gap comparison.

Williams

BottasP9−9.0 Elo
MassaDNF−56.9 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)
6
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 L.Hamilton 1 +25 142 P2 +18.0 2,540
P2 🇳🇱 M.Verstappen 8 +6 +18 72 P6 +46.1 2,291
P3 🇫🇮 K.Räikkönen 4 +1 +15 96 P4 +29.1 2,350
P4 🇩🇪 N.Rosberg 6 +2 +12 153 P1 +4.6 2,479
P5 🇦🇺 D.Ricciardo 5 +10 88 P5 +11.2 2,376
P6 🇬🇧 J.Button 3 -3 +8 13 P15 +44.7 2,144
P7 🇫🇷 R.Grosjean 13 +6 +6 28 P10 +33.8 2,165
P8 🇪🇸 C.Sainz 15 +7 +4 22 P12 +27.3 2,162
P9 🇫🇮 V.Bottas 7 -2 +2 54 P7 -9.0 2,328
P10 🇩🇪 P.Wehrlein 12 +2 +1 1 P17 +39.0 2,012
P11 🇲🇽 E.Gutiérrez 11 0 0 P19 +24.7 2,058
P12 🇬🇧 J.Palmer 19 +7 0 0 P20 +29.8 1,981
P13 🇧🇷 F.Nasr 21 +8 0 0 P22 +13.6 2,041
P14 🇩🇰 K.Magnussen 17 +3 0 6 P16 -2.3 2,091
P15 🇸🇪 M.Ericsson 18 +3 0 0 P21 +0.4 2,036
P16 🇮🇩 R.Haryanto 20 +4 0 0 P23 +8.9 1,935
DNF 🇲🇽 S.Pérez 16 0 39 P8 -53.2 2,257
DNF 🇪🇸 F.Alonso 14 0 18 P14 -23.3 2,051
DNF 🇩🇪 N.Hülkenberg 2 0 20 P13 -43.1 2,121
DNF 🇧🇷 F.Massa 0 0 38 P9 -56.9 2,157
DNF 🇩🇪 S.Vettel 9 0 96 P3 -91.3 2,329
DNF 🇷🇺 D.Kvyat 0 0 22 P11 -52.0 2,053

Qualifying results are not available for this race.

Elo Changes