Insights & Strategy
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Thoughts on building, pricing, and making tools for everyone.
How to Build a Sports Betting Model from Scratch (2026 Guide)
Step-by-step guide to building a sports betting model. Covers data collection, feature engineering, model selection, backtesting, and deployment for NFL, NHL, and more.
Read more →10 Data-Driven March Madness Bracket Tips for 2026
10 evidence-based bracket tips using four decades of tournament data. Learn which seeds to trust, when to pick upsets, and how AI-backed strategies win pools.
Read more →Why 90% of Sports Bettors Lose (And How AI Changes That)
Cognitive biases, emotional betting, and bankroll mismanagement destroy most bettors. Here’s how AI-powered prediction models solve each of these problems with data.
Read more →Parlay Betting Strategy: When Multi-Leg Bets Actually Make Sense
The real math behind parlays, when they offer genuine value, how correlated parlays work, and the common mistakes that turn a legitimate strategy into a bankroll drain.
Read more →AI vs Vegas: Can Machine Learning Beat the Sportsbooks in 2026?
How Vegas sets lines, how AI finds edges, what closing line value means, and whether machine learning models can consistently beat sportsbooks. Real data, no hype.
Read more →2026 March Madness Bracket Predictions: AI Model Rankings Before Selection Sunday
Selection Sunday is weeks away. AI models are already ranking conferences, flagging upset candidates, and identifying which metrics predict tournament success. Here’s what the data says.
Read more →Best Sports Prediction Apps 2026: We Tested 8 Services So You Don’t Have To
We signed up for 8 sports prediction apps — Action Network, SportsLine, BetQL, OddsShark, Covers, DraftKings, FanDuel, and The 99¢ Community — and compared pricing, accuracy, and value.
Read more →Free vs Paid Sports Picks: The Data Behind Which Actually Wins
Reddit picks, ESPN experts, $50/month services, and 99¢ AI models — we tracked accuracy across all tiers. The gap between free and 99¢ is bigger than the gap between 99¢ and $50/month.
Read more →March Madness 2026: How AI Picks the Bracket Better Than Your Gut
Most brackets bust by the second round. Learn how AI uses defensive efficiency, recent form, and a 5-factor weighted model to pick smarter brackets for 99 cents.
Read more →How Our AI Spots March Madness Upsets Before They Happen
From UMBC vs Virginia to Saint Peter’s Cinderella run, upsets follow patterns. Here’s how AI detects defensive mismatches, form divergence, and mid-major hot streaks.
Read more →College Basketball Picks for 99 Cents: Why We Refuse to Charge More
Tout services charge $50–$300/month for NCAAB picks. We charge 99 cents one-time. Here’s why the 99-cent model works and why we’ll never raise the price.
Read more →NFL, NHL & Tennis AI Picks: What Makes Our Algorithm Different
Deep dive into how our AI models analyze each sport differently — from NFL injury reports to NHL goalie fatigue to tennis surface performance.
Read more →How AI Sports Predictions Actually Work (No Hype, Just Math)
Behind every pick is a model trained on thousands of games. Here's how AI analyzes stats, injuries, and trends to predict winners.
Read more →Best Cheap Sports Picks in 2026: Why 99¢ Beats $300/Month
Premium handicappers charge $300/month. Our AI tools cost $0.99 once. Here's the math that proves cheap picks can be better picks.
Read more →Subscription Fatigue Is Real: Americans Spend $219/Month on Subscriptions
The average American spends $219/month on subscriptions. Here's why one-time purchases are the antidote to subscription fatigue.
Read more →One-Time Purchase vs Subscription: The Math Behind 99¢ Products
A $10/month SaaS subscription costs $360 over 3 years. Our products cost $0.99 once. Here's the math that changes everything.
Read more →Why We Charge 99¢ For Everything
The story behind our pricing model — and why we believe volume beats premium every single time.
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