Advanced Basketball Betting Publications and Strategic Research Logs

An NBA arena interior with a packed crowd reacting to play on the court below

Home Court Premium Compression and Spread Calibration Models

Diminishing Venue Advantages: Adjusting Traditional Points Premiums I learned to bet NBA games during the back half of the 2000s. The default home-court adjustment in every model I built — and every commentator’s mouth — was three points. That was the rule of thumb: add three to the home team’s spread, subtract three from the […]
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A shot-tracking diagram showing defender attention drawn toward an off-ball player on the wing

Spatial Gravity Telemetry and Shooter Valuation Adjustments

Tracking Technology Evolution: Telemetry Over Individual Statistics When the league announced its 2026 tracking expansion, the headline was the partnership platform. The interesting part, for anyone who actually models NBA games, was Gravity. After years of public-facing statistics that essentially reproduced the box score in fancier wrappers, the league released a metric that genuinely measures […]
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A player shooting a three-pointer above the arc with shot chart overlays in the background

Shot Selection Analytics and Basketball Over Under Variance Models

Volume Distribution Realities: Shot Selection Dominates Scoring Output If I could go back and give my younger self one piece of betting advice, it would be this: stop chasing shooting percentage and start studying shot diet. Make-rate fluctuates wildly from night to night. Where a team chooses to take its shots is far more stable, […]
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A defender taking a charge in the paint as a driving offensive player loses the ball

Defensive Valuation Metrics and Under Wagering Selection Models

Defensive Metric Isolation Challenges: Overcoming Box Score Limits Offence is easy to measure. A shot goes in or it does not. An assist either happens or it does not. A turnover is a discrete, recordable event. Defence is mostly the absence of things — the shot that did not get taken, the cutter who did […]
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A whiteboard split into offence and defence columns showing per-100 efficiency numbers for an NBA team

Team Point Differentials and Lineup Efficiency Aggregations

Net Rating Formulation: Core Efficiency Tracking Systems Simplified Every December I get the same conversation with mates at the pub. Someone points at the standings, sees a team at 18-8, and declares them a contender. I ask what their net rating is. Blank stares. Net rating is the single most useful summary number for assessing […]
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Two players battling for an offensive rebound under the basket as a shot falls short

Possession Retrieval Percentages and Prop Line Auditing Tools

Possession Control Values: Factoring Rebound Rates Into Game Totals For years I treated rebounds like a side dish. Big number on the box score, fun to look at, not something I would ever build a model around. That changed when I started auditing my bad weeks and noticed a pattern. Every time I had an […]
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A defender trapping a ball-handler near the sideline in a full-court press scenario

Possession Loss Ratios and Live In-Play Line Exploitation Tools

Possession Transition Velocity: Capitalising on Sudden Defensive Pressures I missed the opening fortnight of this season because I was at a wedding in Devon with poor mobile signal. When I finally caught up on tape, the first thing that hit me was not the scoring records or the shooting numbers. It was how often teams […]
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A scoreboard-style display of per-100 plus-minus values for two opposing NBA starting fives

All-In-One Box Score Analytics and Basketball Prop Arbitrage

Box Plus Minus Metric Metrics: Dissecting Advanced All-In-One Data I switched from PER to BPM as my default single-number player stat about six years ago and I have not looked back. The shift came after a stretch of bad weeks where I kept overrating efficient bench scorers and underrating two-way wings whose value the box […]
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A stats sheet with a Hollinger-style efficiency column highlighted, surrounded by basketball annotations

Player Efficiency Rating Application and Prop Line Auditing

Hollinger Metric Basics: Decoding Complex Formula Baselines The single most common mistake I see in NBA betting forums is treating PER as a verdict. Someone posts a screenshot of a player at 24.5 PER and the replies treat it like a closing argument. It is not. PER is one number that tries to compress every […]
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A basketball player driving with the ball as defenders collapse, illustrating high possession usage

Possession Usage Percentages and Player Prop Projections

Usage Metric Essence: Defining Core Possession Volume Distribution The first time I tried to model an NBA scoring prop without looking at usage rate, I lost three weeks in a row picking unders on players who, on paper, should have been quiet that night. The mistake was simple. I was reading minutes and matchup, then […]
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Star basketball player finishing at the rim during an NBA game as a player prop scoring moment

Player Prop Analytical Frameworks and Line Calculation

Prop Market Profitability vs Standard Moneyline Projections Three winters ago I sat with a spreadsheet of 84 points-props from a single Wednesday slate and worked out, retroactively, that 11 of them had been priced more than two points off the median I would have projected. That is a ridiculous number. In side-and-total markets, the equivalent […]
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Fatigued NBA basketball player resting on the bench during a back-to-back schedule game

Team Schedule Disadvantages and Rest Split Analytics

Schedule Handicapping: Quantifying Rest Disadvantages and Fatigue A friend of mine, very smart guy, ran a fantasy NBA model for three years that beat its rivals on every offensive input. Pace, efficiency, usage — clean reads. He moved into spread betting using the same engine and got crushed. The reason was simple. His model treated […]
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Basketball player attacking the rim while a defender contests the shot on an NBA court

Team Efficiency Ratings and Point Spread Prediction Models

Efficiency Rating Components: Driving Predictive Spread Formulations The first time I put together a spread model that actually worked, the breakthrough was not a clever metric. It was understanding that offensive and defensive ratings — points scored and points allowed per 100 possessions — are not two stats. They are the two halves of one […]
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Basketball player releasing a jump shot toward the rim on an NBA hardwood court

Advanced Shooting Efficiency Metrics and Player Prop Models

Inaccurate Raw FG% Metrics vs Advanced Shooting Efficiency For about a year early in my analyst days, I built models around field-goal percentage. Just FG%. It is the headline number on every broadcast, and I treated it as a serious efficiency signal. I lost money for that year. Not catastrophically — I had pace right, […]
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Pace Factor Analytics for Totals and Over Under Betting

Pace Analysis: Essential Betting Numbers for Sharp Punters Nine years into reading NBA lines, I still open every slate the same way: pace numbers first, everything else second. Not because pace is glamorous — it isn’t. Because nothing else makes sense without it. Two teams averaging 110 points a game can give you a 245 […]
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Recommend Team Efficiency Ratings and Point Spread Prediction Models Efficiency Rating Components: Driving Predictive Spread Formulations The first time I put together a spread model that actually worked, the breakthrough was not a clever metric. It was understanding that… Fatigue Quantification and Field Goal Percentage Reductions Biological Strain: Tracking Measurable Decrements in Player Efficiency The […]
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