Practice Sessions Analyzed
FP1 • FP2 • FP3
Fantasy Decision Engine
Stop Guessing. Start Gaining Points.
Build better F1 Fantasy teams with transparent AI recommendations powered by practice data, transfer analysis and race-by-race model validation.
Monaco GP
Recommendation Engine
Cost
$98.3m
Projected
95.8
Risk
Low
Expected Points+8.4
Practice Impact+3.1
Transfer Impact-0.8
Hadjar edges Ocon after FP2 due to improved long-run pace and stronger value per million.
Built for serious F1 Fantasy players
Transfer Penalty Modeling
Included
Race-by-Race Validation
Every Grand Prix
Transparent Recommendations
100% Explainable
Strategy
Choose the risk profile that matches your race weekend.
F1 DecisionIQ makes recommendations for different competitive contexts, from defending a lead to chasing a league rival.
SAFE
Protect the floor
Prioritizes reliable starters, clean transfer paths, and low volatility picks when your mini-league position matters more than a gamble.
BALANCED
Optimize upside and control risk
Blends projected points, value efficiency, and practice movement to find teams that can gain without burning unnecessary transfers.
AGGRESSIVE
Chase rank movement
Surfaces higher-variance combinations, differential drivers, and attack-minded transfer routes for players who need to make up ground.
Explainability
Every recommendation shows its working.
Serious fantasy players need more than a lineup. F1 DecisionIQ explains why one driver wins the decision and where the model is uncertain.
Selected
Hadjar
Rejected
Ocon
Expected Points42.8 vs 39.1
Practice Impact+2.7 after FP2
RiskMedium-low
Value6.3 pts / $m
Transfer ImpactNo penalty
Practice Impact
FP1, FP2 and FP3 become usable fantasy signals.
The model treats practice as new evidence, then adjusts confidence instead of overreacting to a single flashy lap.
FP1
FP1 establishes the first baseline for team pace, long-run reliability, and setup direction.
FP2
FP2 increases confidence in representative race pace and flags drivers outperforming their price.
FP3
FP3 tightens the recommendation before qualifying by weighting final setup, consistency, and risk signals.
Model Transparency
Built for players who want to challenge the model.
F1 DecisionIQ is designed to make each recommendation inspectable, comparable, and useful in Discord or Reddit strategy debates.
Projection Breakdown
See the score inputs behind every pick: pace, qualifying expectation, race strength, price, and role fit.
Rejected Alternatives
Compare the options the model passed on and understand the tradeoff instead of accepting a black-box answer.
Prediction Accuracy
Review race-by-race model performance and understand how projections evolve over the season.
Driver Decision Analysis
Break down driver-versus-driver calls with risk, transfer impact, value, and expected fantasy points.
Coming Soon
What's Coming Next
The first launch focuses on explainable recommendations, with deeper planning tools coming next.
Team Import
Import your current team and evaluate upgrade paths.
Captain Optimizer
Find the highest-value captain for every race weekend.
Transfer Simulator
Explore scenarios before spending transfers.
Prediction Accuracy Tracking
Review historical model performance and improvement.
Practice Session Insights
Understand how sessions change recommendations.
Historical Backtesting
Compare projections against real fantasy results.
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