Blog and learning
Find a published guide, inspect its sources, and put the idea into practice.
Articles
- Preseason Primer: How to Read an NFL Betting RecordRead W-L-P, sample, market, date window, and closing-line source before a percentage. This primer uses the 7,548-row NFL snapshot.
- NFL Road Underdog ATS Leaders, 2023–2025Arizona logged the most road-dog covers from 2023–2025; Seattle led qualifying cover rate. See every count, denominator, and limit.
- NFL Week 1 Underdogs ATS: The 1999–2025 RecordWeek 1 underdogs went 218-196-10 ATS from 1999–2025. Road dogs and teams getting seven or more points led, with clear sample limits.
- NFL Betting Models: What They Are and What Ours WatchesOur NFL model is a 64-model panel, not one number. See how far 38 spread models disagree on one game, and which model feeds the published pick.
- MLB Trade Deadline Bets: How Roster Shake-Ups Move LinesMLB trade deadline betting: how roster shake-ups shift team totals and spreads, plus the 7-day market reset window where models find edge.
- Modeling NFL Like an Analyst: Spread, Total, and Player Props from ScratchBuild NFL prop, spread and total models from scratch: what stats to feed them, keeping confidence honest, removing the vig, and sizing bets in-browser.
- MLB First 5 Innings Bets: Where the Sharper Edge LivesMLB first 5 innings betting explained: F5 spreads, totals, and why removing bullpen variance gives sharps a more predictable market to attack.
- No-Code Sports Betting Studio HandbookNo-code betting model handbook: drag and drop a model, test it on past seasons, check it beats the closing line, build an NFL spread model in 10 minutes.
- Betting the NFL Coach-Firing Cycle 2026: Interim Bumps, Lame Ducks, and Rest-of-Season TotalsHistorical ATS data on NFL teams after firing their head coach: interim-bump games, lame-duck stretches, and how to bet futures around the cycle.
- Translating Event Contracts to Spread/Moneyline PricesEvent contract spread translation: convert Kalshi YES/NO prices to American odds, point spreads, and implied probabilities for sportsbook comparison.
- Build an NFL Spread Model in TensorFlow.js From ScratchA TensorFlow.js NFL betting model tutorial: define the architecture, prep the data, train in the browser, and evaluate against the closing spread.
- Los Angeles Chargers 2026 Betting and Fantasy Hub: Herbert, Harbaugh, and PaceThe Chargers lay double digits on Arizona and our spread moved in a day. On the Week 1 board Justin Herbert is the fourth quarterback, drafted 103rd.
- NFL Alt Lines 2026: When Bigger Payouts Are Actually Worth ItHow to approach 2026 NFL alternate spreads, totals, and prop ladders with probability, hold, and game-script discipline.
- NFL Book Shopping: Build a Hold Map Across BooksHow to find the best NFL spread and total prices by mapping hold percentages across sportsbooks.
- NFL Defensive TD Variance: How to Adjust Spreads for Scoring VolatilityHow defensive touchdowns and turnovers introduce scoring variance that affects NFL spread and total betting.
- NFL Divisional Rematches 2026: Betting Adjustments the Second TimeHow to bet 2026 NFL divisional rematches using first-game evidence, injuries, scheme changes, revenge narratives, and market price.
- NFL Home Field Travel Stack: Rest, Time Zone, and Crowd as ComponentsHow to price NFL home-field edges by stacking travel, time zone, rest, and crowd factors rather than using a flat adjustment.
- NFL Key Number Hook Discipline: When Half Points MatterHow to value NFL hooks around 3, 7, and 10 using price, matchup, and closing-line discipline.
Answers, short and sourced
- Are sports betting models worth paying for?
Sports betting models are worth paying for only if they show credible proof of beating no-vig closing prices. Pay for transparent edge, not confident picks, glossy records, or a feed that hides its math.
- Are free betting calculators accurate?
Free betting calculators are accurate when they use the correct formulas. No-vig, Kelly, and parlay EV math is deterministic, so the real edge comes from your probability inputs, not a paid calculator wrapper.
- How accurate are model-based NFL picks?
Model-based NFL picks are accurate when they beat break-even over time, but calibration and CLV matter more than a single win rate; about 52.4% ATS breaks even at -110.
Pundit ledger
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Hit rate 62.3% on 56 graded calls, 95% range 60 to 83%.
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Hit rate 58.4% on 27 graded calls, 95% range 55 to 87%.
Portland Trail Blazers (Official)
Hit rate 55.7% on 20 graded calls, 95% range 48 to 85%.
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Hit rate 40.0% on 25 graded calls, 95% range 15 to 65%.
Podcasts
- Did we just watch the END of the Jameis Winston experience?!
- ITB Postgame Show: Where Do Eagles Go From Here After Fourth Straight Loss?
- Giants Insane Comeback Falls Short Vs Saints | 1035
- Eagles/Panthers Postgame Pod: We Got Three Weeks To Save The Season
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