R03 — JAPANESE GRAND PRIX
Antonelli on the podium in Japan
22%
22% chance Antonelli finishes on the podium at Suzuka. Won in China (maiden victory), P2 in Australia. Mercedes car advantage and growing confidence make this highly likely.
22%Antonelli
44%22%60%
22% [44%–60%] (95% CI)
01 / KEY FACTORS
Impact by factor
Mercedes car advantage
+10.2%
China P1 maiden win
+8.5%
2 podiums from 2 races
+6.1%
Youngest polesitter record
+4.8%
Growing confidence
+3.8%
Suzuka circuit unfamiliarity
-3.2%
Teammate Russell form
-2.5%
Impact total+27.7%
02 / MONTE CARLO SIMULATION
Distribution and quantitative analysis
10,000 simulations Monte Carlo
Position Distribution
10,000 simulationsDistribution Statistics
N Simulations10k paths
ExpectedP3.2
MedianP3
ModeP2
Std Dev2.14
Skewness+1.91 →
VaR 95%P7
CVaR 95%P8.7
Prob(P1)18.0%
Prob(Podium)68.5%
Prob(Points)98.9%
Prob(DNF)3.0%
Convergence
Scenario Analysis — Antonelli
| Scenario | Position | Prob. | Conditions |
|---|---|---|---|
| Best case (P5) | P1 | 18% | Russell suffers issue, Antonelli inherits lead, manages gap cleanly |
| Optimistic (P25) | P2 | 35% | Qualifies P2, matches Russell pace in race, secure second place |
| Base case (P50) | P3 | 45% | P3 qualifying, benefits from Mercedes car advantage over midfield |
| Conservative (P75) | P5 | 22% | Rookie errors under pressure, loses position to Norris/Leclerc in race |
| Worst case (P95) | P8 | 8% | Poor start, first-corner incident, struggles with tyre management |
Sensitivity Analysis
03 / FEATURE ANALYSIS
Variable analysis
Base value5.0%
Output22%
5.0%
22%
constructor_advantage+9.8%
previous_race_result+7.2%
qualifying_speed+4.1%
f2_champion+3.4%
teammate_delta-3.5%
rookie_factor-2.8%
circuit_experience-1.9%
Feature importance
constructor_advantage
0.165
previous_race_result
0.138
qualifying_speed
0.112
teammate_delta
0.098
rookie_factor
0.085
f2_champion
0.072
circuit_experience
0.065
practice_pace
0.058
tyre_management
0.045
start_performance
0.038
Feature correlations
form_score
constructor
quali_pace
circuit_hist
tyre_deg
reliability
form_score
constructor
quali_pace
circuit_hist
tyre_deg
reliability
-1.0
0
+1.0
04 / MODEL VALIDATION
Model performance
Model performance
Accuracy0.740+0.220 vs baseline
Brier Score0.041-0.006 vs baseline
Log Loss1.912
AUC-ROC0.818
Calibration curve
Confusion matrix
Predicted vs Actual74% accuracy
Track characteristics
Accuracy
74%
across 127 race winner predictions
Average Brier score
0.041
probability calibration
Last correct
Australia R1
Australia R1 — Antonelli P2
05 / CIRCUIT ANALYSIS
Circuit factors
Suzuka history
Last 0 races
Practice pace
Gap to leader (sec)
RUS
REF
ANT
+0.2s
LEC
+0.5s
HAM
+0.6s
Tyre degradation
Lap time, laps 1-20
Lap 1Cliff ~L12Lap 20
Lap time distribution
Antonelli
Leclerc
Hamilton
94.0s95.0s96.0s97.0s
06 / COMPARISON
Antonelli vs Leclerc vs Hamilton
Antonelli
Leclerc
Hamilton
Qualifying pace
87
90
82
Race pace
82
86
84
Car
95
78
78
Experience
35
88
98
Recent form
88
76
72
Head-to-head
| Driver | Quali avg | Race pace | Finishes | Podiums | DNFs |
|---|---|---|---|---|---|
| Antonelli | 2.0 | 1:34.4 | 1 | 1 | 0 |
| Leclerc | 4.2 | 1:34.8 | 4 | 2 | 0 |
| Hamilton | 3.5 | 1:34.6 | 6 | 4 | 1 |
07 / EVOLUTION & DATA
Probability over time
Training Data Sample4 rows x 8 cols