MARCH AI — 2026 NCAA Bracket

68

Teams

0

Results logged

4

Regions

2026

Tournament

No. 1 Seeds

Win % — top seeds by region

Historical upset rates (1985–2025)

Conference strength — avg KenPom

Model weights

✅ Weights sum to 100

Monte Carlo simulation

Simulations: 1000

Head-to-head predictor

Region

Team A

Team B

AI-generated full bracket

Sims per game: 500

Log a real result

Winner

Winner seed

Loser

Loser seed

Round

Score / notes

Training log

Download template

68 teams pre-filled. Add WIN/LOSS as games happen, re-upload to retrain.

⬇️ Download template CSV

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Current field (top seeds)

About MARCH AI

MARCH (Machine Analyzing Real-time College Hoops) is an AI-powered 2026 NCAA Tournament bracket predictor and analyst. It combines historical tournament data with current season statistics to simulate outcomes and generate predictions.

How the model works

The prediction engine blends four weighted factors for every game:

Historical seed win rate35%

Win percentage (2025–26 season)25%

KenPom efficiency rating25%

Strength of schedule15%

Monte Carlo simulation runs thousands of independent tournaments probabilistically. Championship percentages reflect how often each team wins across all simulations. You can tune the weights in the Simulate tab.

Data sources

📊 Historical seed win rates — NCAA tournament results 1985–2025 (160 games per seed matchup)

📈 Season records — 2025–26 regular season win/loss data

🔢 KenPom ratings — Adjusted offensive/defensive efficiency margins (kenpom.com)

💪 Strength of schedule — Quality of opponents faced during the regular season

🤖 MARCH chatbot — Powered by Llama 3.3 70B via Groq API

Historical upset rates (1985–2025)

#1 vs #16 — 1.3% upset

#2 vs #15 — 6.9% upset

#3 vs #14 — 14.4% upset

#4 vs #13 — 20.6% upset

#5 vs #12 — 35.6% upset

#6 vs #11 — 38.8% upset

#7 vs #10 — 39.7% upset

#8 vs #9 — 50.5% upset

⚠️ Disclaimers

Not gambling advice. MARCH AI predictions are for entertainment and informational purposes only. Do not use this app to make financial decisions, place bets, or wager money of any kind. The creators of this app accept no liability for any losses incurred from using these predictions.

Predictions may be wrong. Sports outcomes are inherently unpredictable. AI models — including this one — can and will make incorrect predictions. No model can guarantee accurate results. Upsets, injuries, and random chance mean any team can win or lose on any given day.

Not affiliated with the NCAA. MARCH AI is an independent fan-made application and is not affiliated with, endorsed by, or connected to the NCAA, CBS Sports, ESPN, or any official March Madness property.