# On rankings in multiplayer games with an application to the game of Whist

arXiv: https://arxiv.org/abs/2604.00641 · HTML: https://mlsanity.com/paper/2604.00641/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 17 references that are in the map.
- First posted on arXiv 1 Apr 2026.

## Builds on (most cited first, 4 of 4)

- [Deep reinforcement learning from human preferences](https://mlsanity.com/paper/1706.03741/) (2017)
- [Efficient computation of rankings from pairwise comparisons](https://mlsanity.com/paper/2207.00076/) (2022)
- [Luck, skill, and depth of competition in games and social hierarchies](https://mlsanity.com/paper/2312.04711/) (2023)
- [Recent advances in the Bradley--Terry Model: theory, algorithms, and applications](https://mlsanity.com/paper/2601.14727/) (2026)

## Abstract (arXiv)

We propose a novel extension of the Bradley-Terry model to multiplayer games and adapt a recent algorithm by Newman [1] to our model. We demonstrate the use of our proposed method on synthetic datasets and on a real dataset of games of cards.