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Blog and learning
Find a published guide, inspect its sources, and put the idea into practice.
Articles
- Why Your Favorite NFL Podcaster Doesn't Have a Tout Tracker Score YetTout Tracker shipped NBA-only because the NFL is off-season. What the gap is, why September 2026 closes it, and what we track until then.
- Thinking Basketball Beats His Peers by 8 Fantasy Points per MentionBen Taylor's Thinking Basketball: +8.01 shrunk lift over 182 NBA mentions in our 90-day window, with the math and the matched-pair sample behind it.
- We Graded 5 NBA Pundits Against the Box Score. Bill Simmons Is the Only One Underwater.Tout Tracker launch: shrunk empirical-Bayes lift for 5 NBA media sources over 90 days, from 1,341 matched mentions and tens of thousands of outcomes.
- WNBA Pace-Adjusted Totals 2026: Building a Low-Liquidity Edge in a Growing MarketA pace-adjusted WNBA totals model on stats.wnba.com data: per-possession scoring × possessions, a 2025 backtest, and a Studio brick.
- Brier Score for Bettors (Plain English + Live Plot)A live chart of Brier score against forecast probability, with eight real pick confidence values marked -- no Week 1 pick has graded yet.
- NFL Big Data Bowl for Bettors: From Tracking CSV to Bet Edgeplayers.csv and games.csv live in nflverse-data's GitHub releases: the exact columns a bettor opens, the id that joins them, and how we use both.
- 53-Man Dynasty Roster Startup Strategy (Superflex)53 man dynasty roster startup strategy for superflex: round plan, MFL/Sleeper ADP, SFLEX QB tiers, taxi rules.
- Am I Actually Sharp? A Bayesian CLV CalculatorA Bayesian calculator for "am I a sharp bettor?" Uses CLV + bet count to compute posterior P(sharp | data), with realistic priors and worked examples.
- Backtest a Sports Betting Model in Your Browser (Cornerstone)How to backtest a sports betting model in the browser with TensorFlow.js. Train, evaluate, and ship a model on your own device with no upload.
- Calibration Plots: Why Your 60% Picks Should Hit 60%A bettor-friendly guide to calibration plots. Reliability diagrams, isotonic and Platt recalibration, and how to spot overconfident models.
- Building a Client-Side Daily Loss Limit Into Your Bet TrackerClient side loss limit tool for any bet tracker: localStorage kill-switch, daily reset math, and test cases that catch edge bugs.
- Client-Side vs Python Betting Models: Latency, Privacy, ReproducibilityClient-side betting models (TensorFlow.js) vs Python pipelines (PyTorch, scikit-learn), compared on latency, privacy, reproducibility, and capability.
- CLV Variance by Market: NFL Sides vs MLB Props vs UFCCLV variance differs by market: the sample needed to trust a CLV read varies by sport and market type. Per-market thresholds and sample-size tables.
- CLV as a Leaderboard: Why Tracking Beats ToutingCLV leaderboards rank bettors by closing line value, not record. Why a CLV band beats record-based ranking, and how to read a CLV table.
- Coin Betting Sims vs Real-Money Sportsbooks: When Each WinsA sports betting simulator with no real money is a serious tool, not a toy. Where coin sims beat real-money books for learning, modeling, and strategy.
- DraftKings Pick6 Payout Curves: Reading the Parimutuel FieldThe DK Pick6 payout structure is parimutuel, not fixed. Here is how to read the field, predict payout multipliers, and find the contrarian +EV slips.
- Dynasty Fantasy as a Deck-Builder: Chemistry, Eras, BreedingDynasty fantasy card game: chemistry stacks, era cards, breeding, and a tier list across CMC, Bijan, Jefferson, and Mahomes.
- 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.
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
- SHAKEUP: Giants Quarterback Controversy ERUPTS—Jameis Winston or J.J. McCarthy Going Forward?
- Saints, Kellen Moore Get Much-Needed Victory That Leaves Questions After Struggle To Close Out Win
- Week 7 SEC Recap: 5 Ranked Teams Fall & No Team Remains Unbeaten!
- Did we just watch the END of the Jameis Winston experience?!
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