skillratings

Calculate a player's skill level using Elo and Glicko-2 algorithms known from their usage in chess and other games.

Installation

Add the following to your Cargo.toml file:

[dependencies]

skillratings = "0.3.1"

Usage

For a detailed guide on how to use this crate, head over to the documentation.

Elo rating system

extern crate skillratings;

use skillratings::{elo::elo, outcomes::Outcomes, rating::EloRating};

let player_one = EloRating { rating: 1000.0 };
let player_two = EloRating { rating: 1000.0 };

// The outcome is from the perspective of player one.
let outcome = Outcomes::WIN;

let (player_one_new, player_two_new) = elo(player_one, player_two, outcome, 32.0);
assert!((player_one_new.rating - 1016.0).abs() < f64::EPSILON);
assert!((player_two_new.rating - 984.0).abs() < f64::EPSILON);

Glicko-2 rating system

Instead of the traditional way of calculating the Glicko-2 for only one player only using a list of results, we are calculating the Glicko-2 rating for two players at once, like in the Elo calculation, to make it easier to see instant results.

extern crate skillratings;

use skillratings::{glicko2::glicko2, outcomes::Outcomes, rating::GlickoRating};

let player_one = GlickoRating { 
    rating: 1500.0, 
    deviation: 350.0, 
    volatility: 0.06 
};
let player_two = GlickoRating { 
    rating: 1500.0, 
    deviation: 350.0, 
    volatility: 0.06 
};

let outcome = Outcomes::WIN;

let (player_one_new, player_two_new) = glicko2(player_one, player_two, outcome, 0.5);

assert!((player_one_new.rating.round() - 1662.0).abs() < f64::EPSILON);
assert!((player_one_new.deviation.round() - 290.0).abs() < f64::EPSILON);

assert!((player_two_new.rating.round() - 1338.0).abs() < f64::EPSILON);
assert!((player_two_new.deviation.round() - 290.0).abs() < f64::EPSILON);

License