Determinants of victory in Esports - StarCraft II

Abstract

Esports offer a unique opportunity to conduct human performance studies, as they use modern hardware and software as an operation platform. Insights on gameplay and underlying processes may push the development of new and optimal practice methods. The aim of this study was to investigate performance indicators from in-game data to predict the outcome of the matches in StarCraft II: Legacy of The Void.Data from 6509 games (game records) provided by 5 players at the level of Master or GrandMaster were used. The distribution of analyzed players concerning the preferred in-game race was as follows: “Protoss” (n = 3), “Zerg” (n = 1), “Terran” (n = 1). Each game record contained data for both the winner and the loser. In total, 3719 game records and 9 performance indicators were obtained after applying the inclusion criteria.Logistic regression with 5-fold cross-validation was performed to predict the game outcome. The model was able to discriminate the game outcome (won, lost) with an out-of-sample accuracy of 0.728 ± 0.021. The performance indicators which showed the strongest effect in predicting the game outcome were “minerals lost army” [p-value< 0.001, std_odds_ratio: 0.069], “minerals killed army” [p-value< 0.001, std_odds_ratio: 6.446], “minerals used current army” [p-value< 0.001, std_odds_ratio: 4.081], and “minerals killed economy” [p-value< 0.001, std_odds_ratio: 2.896]. It seems evident that winner optimized interaction with an opponent by keeping his/her own army intact while inflicting damage to the opponent’s army or economy. In conclusion, the effective use of the army, based on optimizing the ratio between units lost and units killed, may be significant in predicting the game outcome.

Using Collective Metrics to Assess Team Dynamics and Performance in eSports

“…Player metrics have also been used to predict the probability of a team winning a match in other eSport genres. For example, statistical models developed in previous research have indicated that the team win probability was connected with the distance to the objective in a first-person shooter (Xenopoulos et al, 2020), the distance of team members across a multiplayer online battle arena (MOBA) map (Rioult et al, 2014), and resources collected during the real-time strategy game, StarCraft II (Białecki et al, 2022). The subset of associations observed with the location of team members suggests a similar connection may be observed with collective metrics and team dynamics.…”

Virtuality engineering in esports

“…In Poland, several psychological, sociological, sports and scientific-technical university research teams have already dealt with some issues of esports [9,15,68,[71][72][73][74], and virtualization as well as methods of formal measurement evaluation. The world of esports is open by nature, so access to research is easy.…”

SC2EGSet: StarCraft II Esport Replay and Game-state Dataset

“…Custom game - Players join the lobby (game room), where all game settings are set and the readiness to play is verified by both players - this mode is used in tournament games. Immediately after the start of the game, players have access to one main structure, which allows for further development and production of units.” 22 .…”

“…Immediately after the start of the game, players have access to one main structure, which allows for further development and production of units. " 22 .…”