eprintid: 28822
rev_number: 15
eprint_status: archive
userid: 3114
dir: disk0/00/02/88/22
datestamp: 2020-09-11 13:21:20
lastmod: 2021-01-19 12:45:41
status_changed: 2020-09-11 13:21:20
type: workingPaper
metadata_visibility: show
creators_name: Lambrecht, Marco
title: Measuring skill and chance in different versions of Poker
subjects: 330
divisions: 181000
keywords: Elo-rating, measuring skill and chance
cterms_swd: Poker
abstract: 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.
date: 2020-08
id_scheme: DOI
id_number: 10.11588/heidok.00028822
schriftenreihe_cluster_id: sr-3
schriftenreihe_order: 0687
ppn_swb: 1728973589
own_urn: urn:nbn:de:bsz:16-heidok-288226
language: eng
bibsort: LAMBRECHTMMEASURINGS202008
full_text_status: public
series: Discussion Paper Series / University of Heidelberg, Department of Economics
volume: 0687
place_of_pub: Heidelberg
pages: 13
citation:   Lambrecht, Marco  (2020) Measuring skill and chance in different versions of Poker.  [Working paper]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/28822/1/Lambrecht_2020_dp687.pdf