Valorant Champions Tour 2024: Pacific and EMEA Round Data

The data is repeated for each map, the environment where each game in a best-out-of-3 or best-out-of-5 game series is played, in the VALORANT Champions Tour of each region. The data for each map reflect the number of rounds played on the map before a team won and the statistics within those rounds.

Each map is labeled with
the game's matchup (team names) [Row 1, Col. A],
date & time [Row 2, Col. A],
the version of VALORANT the game is played on [Row 3, Col. A],
and the event the game is taking place in [Row 4, Col. A].

The assignment of Team A and Team B is determined by the order in which game analytic websites, vlr.gg and rib.gg, and the official Valorant esports website place them.

For each map as a whole, each team consists of the following completed data:
# of Half Buys (The number of rounds where the Total Loadout Value was between, but not including, 10,000 and 19,500 in the in-game currency) [Row 6, Col. D, E].
# of Full Buys (The number of rounds where the Total Loadout Value was at least 19,500 in the in-game currency) [Row 7, Col. D, E].
# of Eco/Low Buys (The Number of rounds where the Total Loadout Value was at most 10,000 in the in-game currency) [Row 8, Col. D, E].
Actual Map Winner (The team that won the map) [Row 20, Col C].
Starting Team map win% (The team's map win percentage before the match; default = 50%) [Row 13, Col. D, E].
Starting Given Map Attack side win% (The team's map win percentage before the match on the attacker side; default = 50%) [Row 14, Col. D, E].
Starting Given Map Defense side win% (The team's map win percentage before the match on the defense side; default = 50%) [Row 15, Col. D, E].
Ending Team map win% (The team's map win percentage after the match) [Row 16, Col. D, E].
Ending Given Map Attack side win% (The team's map win percentage after the match on the attacker side) [Row 17, Col. D, E].
Ending Given Map Defense side win% (The team's map win percentage after the match on the defense side) [Row 18, Col. D, E].

The following data is also collected but is incomplete:
The percentage of all available Ultimate Points acquired by each team [Row 11, 12, Col. F].
Total Number of Ultimate Points Each Team Collected [Row 9, Col. D; Row 10, Col. E]
Total Number of Ultimate Orbs Each Team Collected [Row 11, Col. D; Row 12, Col. E]

For each round within a map, the following data is collected but is incomplete:
Number of Ultimate Points Team A Acquired [Row 9, Col. G-> ]
Number of Ultimate Points Team B Acquired [Row 10, Col. G-> ]
Number of Ultimate Orbs Team A Acquired [Row 11, Col. G-> ]
Number of Ultimate Orbs Team B Acquired [Row 12, Col. G-> ]
Predicted Round Winner Based on Economy (the predicted winner of the round determined by which team had the highest Total Loadout Value) [Row 30, Col. G-> ]

For each round within a map, the following data is collected and used in producing the final round-win probability logistic regression model:
Team A # of Available Ultimate (total amount of ultimate abilities Team A has) [Row 22, Col. G-> ]
Team B # of Available Ultimate (total amount of ultimate abilities Team B has) [Row 23, Col. G-> ]
Team A avg # of ultimate points until ability (The average in the amount of ultimate points each player in Team A needs to obtain their ultimate ability; players who already have their ultimate ability are excluded from the calculation; if every player has their ultimate ability, the calculation will treat each player as having 0 ultimate points; value is rounded to the 5th decimal place; DATA WILL BE SCALED IN SCRIPT, see lines 129-131) [Row 24, Col. G-> ]
Team B avg # of ultimate points until ability (The average in the amount of ultimate points each player in Team B needs to obtain their ultimate ability; players who already have their ultimate ability are excluded from the calculation; if every player has their ultimate ability, the calculation will treat each player as having 0 ultimate points; value is rounded to the 5th decimal place; DATA WILL BE SCALED IN SCRIPT, see lines 129-131) [Row 25, Col. G-> ]
Team A total equipment value (the total loadout value of the team, including each player's basic abilities and equipment costs) [Row 26, Col. G-> ]
Team B total equipment value (the total loadout value of the team, including each player's basic abilities and equipment costs) [Row 27, Col. G-> ]
Actual Round Winner [Row 28, Col. G-> ]

The following data is collected for each map series but is incomplete:
Betting Predicted Game Winner (the game series' predicted winner as determined by the betting market as shown on vlr.gg) [Row 66]
Vlr.gg Elo Predicted Game Winner (the game series' predicted winner as determined by each team's Elo as shown on vlr.gg) [Row 67]

The following data is collected for each map series:
Starting Elo (The starting Elo of each team before the game series; default = 1500, K = 25) [Row 70, Col. C, D]
Ending Elo (The starting Elo of each team after the game series; K = 25) [Row 71, Col. C, D]
Expected Score (the probability that Team A wins based on Starting Elo) [Row 72, Col. B]

All other data categories present in the dataset are inconsequential and/or irrelevant within the scope of this study.