Glossary

The terms,
defined right.

Sports analytics has a vocabulary problem. Half the industry uses the same words to mean different things, and most online definitions confuse market mechanics with actual statistical concepts. This glossary is rigorous, source-cited where possible, and written for operators and bettors who need precision.

Bet Sizing

Kelly CriterionKelly Stake

Mathematically optimal bet-sizing rule for any wager with a known edge. Given an estimated win probability and the offered odds, returns the fraction of bankroll to stake.

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Performance Measurement

Closing Line ValueCLV

The difference between your bet's price and the price the same market closed at. The most reliable indicator of long-run predictive edge.

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Odds & Pricing

Implied ProbabilityMarket-Implied Probability

The probability of an outcome implied by its quoted odds. The building block of nearly every other betting calculation.

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Model Quality

CalibrationProbability Calibration

A property of a predictive model whose stated probabilities match observed frequencies in the long run. The single most important quality property for any betting model.

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Odds & Pricing

VigorishVig, Hold, Juice

The bookmaker's built-in margin on a market, expressed as the share of every dollar wagered that the book expects to retain. The reason raw implied probabilities sum to more than 100%.

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Market Mechanics

Sharp MoneySharp Action

Money wagered by professional bettors and syndicates whose decisions tend to anticipate market movement. The flow that bookmakers respect and recreational bettors usually fade.

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Bet Sizing

Expected ValueEV

The probability-weighted average outcome of a bet, expressed as a per-unit dollar return. The single number that tells you whether a wager is profitable in the long run.

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Model Quality

Walk-Forward ValidationWalk-Forward Backtesting

A model evaluation method that simulates real-world deployment by training on historical data up to a point in time and testing on subsequent unseen data, then advancing the cutoff and repeating. The honest test of whether a sports model's performance survives outside the training set.

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Model Quality

Monte Carlo SimulationMC Simulation

A numerical method that estimates probability distributions by running thousands of randomized trials and aggregating the results. The core engine behind every modern sports prediction model that produces probability distributions rather than point estimates.

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Front-Office Methodology

Scheme Fit

An evaluation framework that estimates how a player's tendencies, attributes, and developmental trajectory map onto a specific coaching staff's scheme, role, and rotation. Distinct from generic player rating because the same player has different expected production under different schemes.

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Basketball Methodology

RAPMRegularized Adjusted Plus-Minus

A regression-based estimate of each basketball player's per-possession impact on team scoring margin, regularized to handle the small-sample collinearity that makes raw adjusted plus-minus unstable. The methodological backbone of modern basketball player evaluation.

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Model Quality

Beta-Binomial Credible IntervalBeta-Binomial CI

A Bayesian credible interval on a win-rate or success-rate estimate, computed under a Beta-Binomial model where wins and losses are draws from a binomial distribution and the underlying win probability has a Beta prior. The standard interval for honest reporting of model accuracy.

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Model Quality

Pre-RegistrationPre-Registered Ship Gate

The practice of locking a model's tier thresholds, success criteria, and explicit failure conditions in writing before the test data is examined. The single highest-leverage defense against in-sample threshold-fitting.

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Model Quality

Honest Validation ProtocolHVP

VAR's eight-rule canonical spec that every published win-rate, ROI claim, and live-tier promotion validates against. The audit-defensible standard the public numbers have to clear. Version 2026-04-30. Published at /methodology/protocol.

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