YOUR
BRACKET
IS WRONG
The model has seen 40 years of March Madness. It knows which favorites collapse, which underdogs are built for this moment, and exactly where your bracket is about to get embarrassed.
Trusted by serious bracket players. Powered by real machine learning.
PICK YOUR EDGE
From casual bracket filler to prediction market trader. There is a level for everyone.
Upset Special
The five upsets the bracket field is sleeping on. Ranked by model confidence. Each pick comes with the historical rhyme game that matches the archetype pattern and three specific data bullets that explain exactly why the favorite is about to have a very bad Thursday.
- Top 5 upset picks ranked by confidence
- Historical rhyme game for each pick
- Archetype matchup label
- Specific vulnerability factor for the favorite
- Confidence score 1–10
Full Bracket Intelligence
The whole picture. Every game. Every seed matchup analyzed by the model. Win probabilities for all 68 teams, projected through six rounds to the champion. This is what separates the bracket winner from everyone else in the office pool.
- Full 68-team win probability breakdown
- Top 5 upset picks with full analysis
- Archetype matchup breakdown for every first round game
- Cinderella pick with data-supported deep run projection
- Final Four projection with win probability chain
- Historical rhyme games for every marquee matchup
- Coaching pressure and halftime adjustment scores
- PDF delivered instantly after Selection Sunday
Market Edge Package
Built for prediction market traders on Kalshi and Polymarket. Everything in the Full Bracket plus daily model updates throughout the tournament as results change the probability landscape.
- Everything in Full Bracket Intelligence
- Daily tournament update PDFs — model recalibrates after each day
- Kalshi market signals — specific contracts with edge scores
- First half market recommendations
- Live upset alerts via email when model detects mispriced markets
- Post-tournament model accuracy report
Build Your Own Bot
The full story of how BracketIQ was built in 72 hours using Claude Code with zero prior coding experience. Every prompt. Every bug. Every breakthrough. From first API call to live trading engine.
- Full video course — every build session documented
- All prompts used to build the system
- Complete codebase access
- Weather trading bot included
- NCAA tournament engine included
- Private community access
- Lifetime updates
THIS IS NOT A GUT PICK
Here is exactly what the model does and why it is different from every bracket prediction you have seen.
40 Years of Tournament DNA
Every NCAA tournament game from 1985 to 2025 scraped, cleaned, and stored. Box scores. Play by play. Coaching records. Recruiting data. Venue altitude. Days of rest. 2,488 games of signal.
Team DNA Profiles
1,279 team-year profiles built across 15 dimensions. How a team performs in the last 5 minutes when tied. How their shooting changes when trailing by 10. Whether their coach gets better or worse at halftime. All of it quantified.
8 Team Archetypes
Every tournament team clustered into one of 8 archetypes — Comeback Specialists, Lead Protectors, Boom-Bust Three Point teams, Grind Halfcourt teams, and more. Archetype matchup is the single most predictive feature in the model. Style eats seed.
Upset Detection Engine
XGBoost model trained on 2,488 tournament matchups with 15 features. Calibrated against actual historical upset frequencies by seed. Caught its own data leakage during training and eliminated it. The model checks its own work.
6 Years of Out-of-Sample Validation
Trained on 1985–2018 data only. Tested on 2019, 2021, 2022, 2023, 2024, and 2025 tournaments separately — years the model never saw. 80.6% mean accuracy across all six. Consistent. Not a fluke.
Self-Improving Architecture
After every tournament game settles, the model analyzes what it got right and wrong, adjusts feature weights automatically, and runs A/B tests on new model versions before deploying them. It gets sharper every day of the tournament.
STRAIGHT FROM THE MODEL
This is what it looks like when the engine runs.
REAL QUESTIONS
No. Most bracket sites use season stats and gut feel. BracketIQ uses 40 years of tournament-specific data, team archetype clustering, and a model validated on six real out-of-sample tournament years. The difference is we show our work and our work has an 80.6% track record.
It means we trained the model on old data and tested it on recent tournaments it had never seen. Any model can memorize data it trained on. The real test is whether it predicts data it never saw. Ours does. 80.6% mean accuracy across 2019, 2021, 2022, 2023, 2024, and 2025.
Immediately after Selection Sunday on March 15 when the bracket is announced. The model runs the full 68-team analysis and the PDF is generated and delivered within hours. No waiting around.
The $197 Market Edge package is specifically built for Kalshi and Polymarket traders with specific contract signals and edge scores. The $27 and $99 products are bracket intelligence — they show probabilities and upset picks but do not constitute betting advice. Always trade responsibly.
THE BRACKET FIELD
IS ALREADY WRONG
68 teams. 63 games. One model that has seen it all before.
PDF delivered after Selection Sunday March 15 · Instant email delivery · No fluff, just the model