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Calibration Articles

25 posts tagged “calibration”.

prediction-markets calibration polymarket

Prediction-Market Calibration: What a Short MLB Study Shows

Review a historical MLB Brier-score analysis with corrected interpretation of calibration, repeated snapshots and near-terminal reference prices.

comparison reference api

Top Sports Prediction Tools in 2026 (Honest Comparison)

The most useful sports prediction tools of 2026: calibrated APIs, odds aggregators, model dashboards, and bot frameworks, ranked on transparency.

api prediction-markets calibration

What Is a Sports Prediction API? A 2026 Practical Explainer

Plain-English guide to sports prediction APIs in 2026 — what they return, how authentication and rate limits work, what calibration means, and how to...

polymarket calibration results

Comparing Polymarket Odds to ZenHodl Win Probabilities Across 5,000 Games

ZenHodl's calibrated win probabilities vs Polymarket's market odds across 5,000+ resolved games — where they agree, diverge, and what it means.

strategy machine-learning risk-management

Betting Strategies With Calibrated ML Probabilities (Without Going Broke)

See how to turn calibrated ML probabilities into disciplined bets: position sizing, risk controls, and the honest limits of the math.

comparison calibration nba

Why We Can't Retroactively Benchmark NBA First Round 2026 — And Why That's The Point

Why the pre-committed NBA Playoffs benchmark starts at the Conference Semis: adding First Round after tip-off would un-freeze a frozen test.

comparison calibration nba

We Just Pre-Committed to Beating Polymarket on NBA Playoffs Calibration. The Hash Is On-Chain.

We just announced and on-chain anchored a 7-week head-to-head benchmark: ZenHodl's NBA model vs the live Polymarket consensus, every Conference Semis...

calibration results research

We Audited 21 Sports Prediction Sources. Only 1 Publishes Their Calibration Error.

Our April 2026 survey of selected prediction sources examined public calibration evidence. Read the dated findings, criteria and limits.

nhl backtesting calibration

We Backtested Our NHL Model on the 2025 Stanley Cup Playoffs. It Hit 60.5% Across 86 Games.

Our NHL model replayed the 2025 Stanley Cup playoffs on pre-playoff data: 52 of 86 games correct (60.5%), with the Cup Final correctly read as a coin flip.

soccer calibration machine-learning

UCL 2025-26 Champions League: We're Down to 4 Teams. Here's Who Our Model Says Wins.

PSG, Arsenal, Atlético Madrid, and Bayern Munich are the 2025-26 UCL semifinalists. Our production club-soccer model (trained on 3,000+ matches, 75%...

sports-betting machine-learning calibration

Free AI Sports Predictions 2026: How to Tell Real ML From ChatGPT-in-a-Trench-Coat

Most 'AI picks' sites are ChatGPT wrappers around sportsbook lines. An honest 2026 guide to telling real ML predictors from narrative generators.

calibration betting-math prediction-markets

Why Your 70% Confidence Should Actually Mean 70%: Calibrated Probabilities in Prediction Markets

Measure reliability in a defined prediction population, including the traded subset. Checked ECE bin endpoints, held-out calibration methods and dated...

nfl ncaaf calibration

What Is the Best Accurate Platform for Football Predictions? A Buyer's Guide From Someone Who Ships One

Most sports prediction platforms advertise accuracy that doesn't hold up to measurement. Here's how to evaluate one properly — with published ECE...

mlb backtesting calibration

We Backtested Our MLB Model on the 2025 Postseason. It Hit 59.6% Across 47 Games.

Our MLB model replayed the entire 2025 postseason on pre-playoff data: 28 of 47 correct (59.6%). Full breakdown, including every missed ALCS pick.

sports-betting calibration advanced

Are Sports Prediction Apps Accurate, or Just Hype? (2026 Honest Answer)

A 2026 honest answer to whether sports prediction apps actually work. Most 'expert picks' sites are post-hoc curation of sportsbook lines; about 5%...

nhl sports-betting betting-math

2026 Stanley Cup Odds: Every Team's Championship Probability (Live, April 22)

Two days into the 2026 NHL playoffs. Our calibrated NHL model has Colorado and Tampa Bay as the Cup favorites, with Carolina close behind. Here's every...

regulation sports-betting calibration

“Entertainment Purposes Only”: Check the Evidence Too

A disclaimer does not establish prediction quality or profitability. Check dated records, calibration, costs and the population behind the claims.

nfl backtesting calibration

We Backtested Our NFL Model on the 2026 Playoffs. It Called Super Bowl LX Correctly.

Our NFL model replayed the 2025-26 playoffs on pre-playoff data only: 9 of 13 correct (69.2%), including Seattle over New England in Super Bowl LX.

nba backtesting calibration

We Backtested Our NBA Model on the 2025 Playoffs. It Called OKC Correctly All Season.

After the 2025 NBA Finals wrapped with OKC beating Indiana in seven games, we ran our NBA win-probability model on all 84 postseason games using only...

ncaaf calibration machine-learning

Why Our First CFB Model Lost Money (And the One Feature That Fixed It)

Our first college football model backtested at -2.1c/trade over 728 simulated positions. The missing feature, the diagnosis, and the corrected numbers.

ncaamb results calibration

Our NCAAMB Model's 2025-26 Season Report: 5,345 Games Backtested, 68.2% Accuracy, ECE 4.39%

Our college basketball model backtested on all 5,345 non-tournament games of 2025-26: 68.2% accuracy, Brier 0.2064, ECE 4.39%, full reliability table.

ncaamb backtesting calibration

We Backtested Our Model on the 2026 March Madness Bracket. It Hit 71.6%.

Our NCAAMB model replayed all 67 games of March Madness 2026 on pre-tournament data: 48 correct (71.6%), 3-for-3 on the Final Four. Every miss listed.

nba machine-learning results

How We Predict NBA Games with Machine Learning

Inside ZenHodl's NBA prediction engine: XGBoost models, team stats, real-time injury overlays, and isotonic calibration. How our ML system processes...

calibration machine-learning debugging

Calibration Beats Accuracy: The NBA Model Bug That Lost Money at 65% Win Rate

Our NBA bot had 65% accuracy and was losing money — a calibration bug left it confidently wrong. How we found it, and why calibration beats accuracy.

calibration machine-learning python

Why Your Sports Betting Model Loses Money (Calibration Beats Accuracy)

Measure sports-model calibration with Brier score, ECE and held-out calibration examples. Separate reliability from executable-price profitability.