AI reading note · r2

Does performance persist? Start with what the study compared

How is earlier performance related to later performance? Using the abstract and selected methods, this note separates performance persistence, the games studied and the treatment of rake. It does not predict any individual player’s future profit.

This is an AI-generated reading note. It has not been reviewed by a human and is not a formal evaluation or advice.
Reading scope: Abstract and selected methods
Note prepared: 2026-09-29T15:04:36.825161+00:00
Publisher page checked (not a guarantee of current status): 2026-09-29T15:04:36.825161+00:00

Bibliography

Beyond Chance? The Persistence of Performance in Online Poker

Authors: Rogier J. D. Potter van Loon, Martijn J. van den Assem, Dennie van Dolder
Publication year: 2015
DOI Source

Source license: CC-BY-4.0
This is an independently written AI reading note; it does not imply endorsement by the original authors or the license provider.

Readings

Readings

The authors report that groups of players with relatively better earlier performance tended to perform better in a later period.

Limitations

This is an association between earlier and later performance. It does not show that a learning method caused improvement or that a particular player will keep winning.

Original section

Abstract

Readings

The analysis used records from no-limit Texas hold’em cash games at an online poker site.

Limitations

That setting does not directly establish the same result for live poker, tournaments or every present-day game.

Original section

Data and Descriptive Statistics — game and data source

Readings

The authors adjusted performance by adding rake back in proportion to players’ contributions to the pot.

Limitations

Read this adjusted performance separately from the profit actually retained after paying rake.

Original section

Data and Descriptive Statistics — correction for rake

Limitations

Questions to explore