Name
Abstract | ||
|---|---|---|
Esports are competitive videogames watched by audiences. Most esports generate detailed data for each match that are publicly available. Esports analytics research is focused on predicting match outcomes. Previous research has emphasized prematch prediction and used data from amateur games, which are more easily available than those from professional level. However, the commercial value of win pre... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TG.2019.2948469 | IEEE Transactions on Games |
Keywords | DocType | Volume |
Games,Predictive models,Real-time systems,Prediction algorithms,Machine learning algorithms,Data models,Standards | Journal | 13 |
Issue | ISSN | Citations |
4 | 2475-1502 | 3 |
PageRank | References | Authors |
0.50 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victoria J. Hodge | 1 | 3 | 0.50 |
| Sam Devlin | 2 | 3 | 0.50 |
| Nick Sephton | 3 | 6 | 2.28 |
| Florian Block | 4 | 3 | 0.50 |
| Peter Cowling | 5 | 1255 | 78.35 |
| Anders Drachen | 6 | 3 | 0.50 |