Log In Sign Up

Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game

by   Martin B. Haugh, et al.

The game of darts has enjoyed great growth over the past decade with the perception of darts moving from that of a pub game to a game that is regularly scheduled on prime-time television in many countries including the U.K., Germany, the Netherlands and Australia among others. In this paper we analyze a novel data-set on sixteen of the top professional darts players in the world during the 2019 season. We use this data-set to fit skill-models to the players and use the fitted models to understand the variation in skills across these players. We then formulate and solve the dynamic zero-sum-games (ZSG's) that darts players face and to the best of our knowledge we are the first to do so. Using the fitted skill models and our ZSG problem formulation we quantify the importance of playing strategically in darts. We are also able to analyze interesting specific game situations including some real-world situations that have been the subject of some debate among darts fans and experts.


page 4

page 9

page 11

page 21

page 22

page 24

page 25

page 28


ELO System for Skat and Other Games of Chance

Assessing the skill level of players to predict the outcome and to rank ...

GgViz: Accelerating Large-Scale Esports Game Analysis

Game review is crucial for teams, players and media staff in sports. Des...

Understanding Players' Interaction Patterns with Mobile Game App UI via Visualizations

Understanding how players interact with the mobile game app on smartphon...

Removing Skill Bias from Gaming Statistics

"The chance to win given a certain move" is an easily obtainable quantit...

Visual Fixations Duration as an Indicator of Skill Level in eSports

Using highly interactive systems like computer games requires a lot of v...

The Role of Emotion in Problem Solving: First Results from Observing Chess

In this paper we present results from recent experiments that suggest th...

Adaptive Relaxations for Multistage Robust Optimization

Multistage robust optimization problems can be interpreted as two-person...