A spreadsheet can make nearly any prop strategy look brilliant. Player prop backtesting is how you find out whether it holds up when you are honest about what you knew at decision time. You will write the study down before seeing results: leagues, markets, thresholds, acceptable quote age, injury handling and exposure limits. Then you will judge it three ways. First, are the probabilities calibrated against a baseline, using Brier score and log loss? Second, did they beat suitable no-vig benchmarks? Third, could you actually get those prices after limits, rejected orders, commissions and line moves? A good-looking historical snapshot is not a filled bet, and the lesson shows how to tell the difference.
Learning objectives
- Explain and apply the named analytical technique.
- Reproduce the example and critique its assumptions.
- Distinguish a model estimate from an executable market opportunity.
