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Measuring skill and chance in different versions of Poker

This paper aims to measure skill and chance in different versions of online poker, using the best-fit Elo algorithm established in the first chapter. While Texas Hold'em arguably is the most popular version being played, the amount of skill involved might differ from other versions like Omaha H...

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Bibliographic Details
Main Author: Lambrecht, Marco (Author)
Format: Book/Monograph Working Paper
Language:English
Published: Heidelberg University of Heidelberg, Department of Economics August 2020
Edition:This version: July 15, 2020
Series:Discussion paper series / University of Heidelberg, Department of Economics no. 687
In: Discussion paper series (no. 687)

DOI:10.11588/heidok.00028822
Subjects:
Graue Literatur
Online Access:Verlag, kostenfrei: http://archiv.ub.uni-heidelberg.de/volltextserver/28822/1/Lambrecht_2020_dp687.pdf
Resolving-System, kostenfrei: https://doi.org/10.11588/heidok.00028822
Resolving-System, kostenfrei: http://hdl.handle.net/10419/235010
Resolving-System, kostenfrei, Volltext: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-288226
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Author Notes:Marco Lambrecht
Description
Summary:This paper aims to measure skill and chance in different versions of online poker, using the best-fit Elo algorithm established in the first chapter. While Texas Hold'em arguably is the most popular version being played, the amount of skill involved might differ from other versions like Omaha Hold'em. Many platforms offer faster procedures to play (e.g. "hyper turbo"), as well as different levels of stakes. Given the richness of online poker data, it is possible to isolate the impact of these variations individually. The heterogeneity of best-fit Elo ratings decreases in quicker competitions or with higher stakes. Meanwhile, Omaha seems to contain more elements of skill than Texas Hold'em, as its analysis shows a wider distribution of skill levels of players.
Physical Description:Online Resource
DOI:10.11588/heidok.00028822

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