Round 5 · 2008

Istanbul Park

Istanbul, Turkey · May 11, 2008 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R052008
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20 stored results 20/20 Elo snapshots 20/20 numbered grid slots 20/20 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 412 earlier finishes across 31 races, 1998–2007. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Felipe Massa Ferrari · Elo #5 · Q1

    Expected P2.9 Finished P1

    +1.9places
  2. Lewis Hamilton McLaren · Elo #2 · Q3

    Expected P3.2 Finished P2

    +1.2places
  3. Nick Heidfeld BMW Sauber · Elo #3 · Q9

    Expected P5.7 Finished P5

    +0.7places

Flop 3

Below the estimate
  1. Heikki Kovalainen McLaren · Elo #7 · Q2

    Expected P3.7 Finished P12

    −8.3places
  2. Sebastian Vettel Toro Rosso · Elo #20 · Q14

    Expected P10.8 Finished P17

    −6.2places
  3. Rubens Barrichello Honda · Elo #16 · Q12

    Expected P9.3 Finished P14

    −4.7places

17/20 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 → P20vs expectedReading
F. MassaFerrari #52329 P1 P2.9P1–P7 P1 +1.9places In range
L. HamiltonMcLaren #22360 P3 P3.2P1–P7 P2 +1.2places In range
K. RäikkönenFerrari #12515 P4 P3.4P1–P8 P3 +0.4places In range
R. KubicaBMW Sauber #42332 P5 P4.3P1–P9 P4 +0.3places In range
N. HeidfeldBMW Sauber #32338 P9 P5.7P1–P10 P5 +0.7places In range
F. AlonsoRenault #62312 P7 P5.5P1–P10 P6 −0.5places In range
M. WebberRed Bull #102145 P6 P5.8P2–P10 P7 −1.2places In range
N. RosbergWilliams #92162 P11 P7.6P3–P12 P8 −0.4places In range
D. CoulthardRed Bull #122084 P10 P7.8P3–P12 P9 −1.2places In range
J. TrulliToyota #82191 P8 P6.2P2–P11 P10 −3.8places In range
J. ButtonHonda #142058 P13 P9.3P5–P14 P11 −1.7places In range
H. KovalainenMcLaren #72230 P2 P3.7P1–P8 P12 −8.3places Below range
T. GlockToyota #152046 P15 P10.3P6–P15 P13 −2.7places In range
R. BarrichelloHonda #162010 P12 P9.3P5–P14 P14 −4.7places In range
N. Piquet Jr.Renault #181959 P17 P11.7P7–P16 P15 −3.3places In range
A. SutilForce India #191856 P20 Grid P19 P13.0P9–P17 P16 −3.0places In range
S. VettelToro Rosso #201854 P14 P10.8P7–P15 P17 −6.2places Below range
S. BourdaisToro Rosso #171962 P18 P11.9P8–P16 DNFSuspension Not assessedDNF: Suspension
K. NakajimaWilliams #112095 P16 P10.0P6–P14 DNFCollision Not assessedDNF: Collision
G. FisichellaForce India #132065 P19 Grid P20 P11.5P7–P16 DNFCollision Not assessedDNF: Collision
How useful is the model? See the historical check

Average absolute error on 412 classified finishes in 31 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
2.56places
Elo only
2.99places

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

Massa+39.5 Elo

Largest grid-to-finish gain

Heidfeld+4 places

The bigger picture

Championship after this round

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

  1. 1 Räikkönen 35pts 0
  2. 2 Massa 28pts +2
  3. 3 Hamilton 28pts −1
  4. 4 Kubica 24pts −1
  5. 5 Heidfeld 20pts 0

Movement since round 4. 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

RosbergP8+15.1 Elo
NakajimaDNF−54.1 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Rosberg 0.180s faster

Toyota

TrulliP10−4.5 Elo
GlockP13−1.8 Elo

3 places apart at the finish.

Q2 · Trulli 0.984s faster

Honda

ButtonP11+10.9 Elo
BarrichelloP14−3.2 Elo

3 places apart at the finish.

Q2 · Barrichello 0.079s faster

Force India

SutilP16+3.6 Elo
FisichellaDNF−56.4 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Fisichella 0.518s faster

Toro Rosso

VettelP17−3.4 Elo
BourdaisDNF−25.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Vettel 0.179s 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 →
20
Result Entries
Avg Elo
Highest Elo (Räikkönen)
3
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇧🇷 F.Massa 1 +10 28 P2 +39.5 2,369
P2 🇬🇧 L.Hamilton 3 +1 +8 28 P3 +27.8 2,388
P3 🇫🇮 K.Räikkönen 4 +1 +6 35 P1 +2.6 2,518
P4 🇵🇱 R.Kubica 5 +1 +5 24 P4 +17.0 2,349
P5 🇩🇪 N.Heidfeld 9 +4 +4 20 P5 +8.8 2,347
P6 🇪🇸 F.Alonso 7 +1 +3 9 P8 +5.3 2,318
P7 🇦🇺 M.Webber 6 -1 +2 10 P7 +25.3 2,171
P8 🇩🇪 N.Rosberg 11 +3 +1 8 P10 +15.1 2,177
P9 🇬🇧 D.Coulthard 10 +1 0 0 P14 +21.2 2,105
P10 🇮🇹 J.Trulli 8 -2 0 9 P9 -4.5 2,187
P11 🇬🇧 J.Button 13 +2 0 3 P12 +10.9 2,069
P12 🇫🇮 H.Kovalainen 2 -10 0 14 P6 -25.8 2,204
P13 🇩🇪 T.Glock 15 +2 0 0 P15 -1.8 2,044
P14 🇧🇷 R.Barrichello 12 -2 0 0 P17 -3.2 2,006
P15 🇧🇷 N.Piquet Jr. 17 +2 0 0 P18 -2.8 1,956
P16 🇩🇪 A.Sutil 19 +3 0 0 P21 +3.6 1,860
P17 🇩🇪 S.Vettel 14 -3 0 0 P22 -3.4 1,850
DNF 🇫🇷 S.Bourdais 18 0 2 P13 -25.3 1,937
DNF 🇯🇵 K.Nakajima 16 0 5 P11 -54.1 2,041
DNF 🇮🇹 G.Fisichella 20 0 0 P16 -56.4 2,009
# Driver Q1 Q2 Q3 Gap Elo
1 🇧🇷 F.Massa 1:25.994 1:26.192 1:27.617 1:27.617 2,196
2 🇫🇮 H.Kovalainen 1:26.736 1:26.290 1:27.808 +0.191 2,015
3 🇬🇧 L.Hamilton 1:26.192 1:26.477 1:27.923 +0.306 2,437
4 🇫🇮 K.Räikkönen 1:26.457 1:26.050 1:27.936 +0.319 2,029
5 🇵🇱 R.Kubica 1:26.761 1:26.129 1:28.390 +0.773 1,892
6 🇦🇺 M.Webber 1:26.773 1:26.466 1:28.417 +0.8 2,350
7 🇪🇸 F.Alonso 1:26.836 1:26.522 1:28.422 +0.805 2,002
8 🇮🇹 J.Trulli 1:26.695 1:26.822 1:28.836 +1.219 1,893
9 🇩🇪 N.Heidfeld 1:27.107 1:27.607 1:28.882 +1.265 2,053
10 🇬🇧 D.Coulthard 1:26.939 1:26.520 1:29.959 +2.342 1,992
11 🇩🇪 N.Rosberg 1:27.367 1:27.012 +-0.605 2,617
12 🇧🇷 R.Barrichello 1:27.355 1:27.219 +-0.398 2,073
13 🇬🇧 J.Button 1:27.428 1:27.298 +-0.319 2,016
14 🇩🇪 S.Vettel 1:27.442 1:27.412 +-0.205 2,156
15 🇩🇪 T.Glock 1:26.614 1:27.806 +0.189 1,950
16 🇯🇵 K.Nakajima 1:27.547 +-0.07 2,032
17 🇧🇷 N.Piquet Jr. 1:27.568 +-0.049 2,024
18 🇫🇷 S.Bourdais 1:27.621 +0.004 1,942
19 🇮🇹 G.Fisichella 1:27.807 +0.19 2,068
20 🇩🇪 A.Sutil 1:28.325 +0.708 1,925
Data: Jolpica (Ergast) API

Elo Changes