• Gaming
  • 23 columns
  • 200 rows
  • 8 formats

Esports Tournament Results Data

This dataset provides granular results from major and minor esports tournaments, including team and player performance metrics, prize distribution, and event metadata. It enables deep analysis of competitive gaming trends, sponsorship impact, and broadcast reach, making it invaluable for game publishers, analysts, and sponsors seeking insights into the esports ecosystem.

  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Performance analytics for teams and players across tournaments

Sample rows

preview · 8 of 200 rows · all 23 columns
tournament_idstringtournament_typestringmatches_playedintegerlocation_citystringtournament_namestringgame_titlestringstart_datedateend_datedatelocation_countrystringteam_idstringteam_namestringplayer_idstringplayer_namestringplacementintegerprize_money_usdfloatmatches_wonintegermatches_lostintegermatches_drawnintegermvp_player_idstringmvp_player_namestringsponsor_namesstringtournament_organizerstringbroadcast_platformsstring
T2022MAJ001major16BerlinGlobal Masters BerlinCS:GO2022-06-112022-06-19GermanyTEAM_GMBER_01Berlin Titansblankblank15000001510PLAYER_CSGO01FrostRed Bull, Intel, LogitechESLTwitch, YouTube
T2022MAJ001major16BerlinGlobal Masters BerlinCS:GO2022-06-112022-06-19GermanyTEAM_GMBER_02Iron Eaglesblankblank22500001330blankblankSteelSeries, AudiESLTwitch, YouTube
T2022MAJ001major15BerlinGlobal Masters BerlinCS:GO2022-06-112022-06-19GermanyTEAM_GMBER_03Crimson Wolvesblankblank31200001140blankblankMonster Energy, HyperXESLTwitch, YouTube
T2022MAJ001major14BerlinGlobal Masters BerlinCS:GO2022-06-112022-06-19GermanyTEAM_GMBER_04Alpha Strikeblankblank4blank860blankblankCorsairESLTwitch, YouTube
T2023INV002invitational12Los AngelesInvitational Summit LAValorant2023-04-092023-04-14USATEAM_ISLA_01LA Guardiansblankblank17000001110PLAYER_VAL01SpectreNike, Twitch, Razer, SamsungRiot GamesTwitch, YouTube, MetaPlay
T2023INV002invitational12Los AngelesInvitational Summit LAValorant2023-04-092023-04-14USATEAM_ISLA_02Midnight Owlsblankblank2300000930blankblankG Fuel, LogitechRiot GamesTwitch, YouTube, MetaPlay
T2023INV002invitational11Los AngelesInvitational Summit LAValorant2023-04-092023-04-14USATEAM_ISLA_03Rebel Spiritsblankblank3120000830blankblankAlienwareRiot GamesTwitch, YouTube, MetaPlay
T2023INV002invitational11Los AngelesInvitational Summit LAValorant2023-04-092023-04-14USATEAM_ISLA_04LA Vipersblankblank4blank650blankblankSonyRiot GamesTwitch, YouTube, MetaPlay

What the 200 rows show

from the 200-row sample

Minor (tournament type) stands out: mean matches_played is 4.0, against 12.0 for the rest.

  • 12median matches_played
  • 9broadcast platformses
  • 14location countries
  • 16game titles
  • 39tournament organizers
  • 59tournament names
Mean matches_played by tournament_type200 rows
0102016.3major55 rows4.0minor29 rows13.7invita…28 rows6.3region…47 rows11.8online41 rows
matches_played200 rows, in bands of 2
020404403010142628282021220matches_played →

Median 12, from 2 to 20.

location_city159 rows with a value · 41 left blank
  1. Berlin25
  2. Los Angeles21
  3. Stockholm17
  4. Dubai17
  5. Bangkok15
  6. Seoul12
  7. London12
  8. Tokyo9
  9. New York8
  10. San Francisco7
23 columns by typefrom the column list below
  • string 15
  • integer 5
  • float 1
  • date 2

Columns

23 columns in three groups
blueprint · 23 columns
columntypedescriptionexample
Text 15 columns
tournament_idstringUnique identifier for the tournamentuniqueT2022MAJ001
tournament_namestringOfficial name of the tournamentGlobal Masters Berlin
tournament_typestringType of tournament (major, minor, invitational, etc.)major · minor · invitational · regional · onlinemajor
game_titlestringName of the esports game featured in the tournamentCS:GO
location_citystringCity where the tournament was held (if applicable)optionalBerlin
location_countrystringCountry where the tournament was held (if applicable)optionalGermany
team_idstringUnique identifier for the teamTEAM_GMBER_01
team_namestringOfficial name of the teamBerlin Titans
player_idstringUnique identifier for the playeroptionalPLAYER_SFII_01
player_namestringGamer tag or official name of the playeroptionalRyu
mvp_player_idstringUnique identifier for the MVP (Most Valuable Player) of the tournament or teamoptionalPLAYER_CSGO01
mvp_player_namestringName or gamer tag of the MVP playeroptionalFrost
sponsor_namesstringComma-separated list of sponsor names for the tournament or teamoptionalSteelSeries, Audi
tournament_organizerstringName of the organization or company hosting the tournamentoptionalESL
broadcast_platformsstringComma-separated list of platforms where the tournament was broadcasted (e.g., Twitch, YouTube)9 platformses · optionalTwitch, YouTube
Numbers 6 columns
placementintegerFinal placement/rank of the team or player in the tournament1 or more1
prize_money_usdfloatPrize money awarded in USD0 or more · optional500000
matches_playedintegerNumber of matches played by the team or player in the tournament0 or more · optional16
matches_wonintegerNumber of matches won by the team or player in the tournament0 or more · optional15
matches_lostintegerNumber of matches lost by the team or player in the tournament0 or more · optional1
matches_drawnintegerNumber of matches drawn by the team or player in the tournament0 or more · optional0
Dates and times 2 columns
start_datedateDate when the tournament started2022-06-11
end_datedateDate when the tournament ended2022-06-19

Use it for

  • median matches…12200 rowsmean matches played b…16.3major4.0minor13.7invi…6.3regi…

    A gaming dashboard

    Matches_played by tournament_type and a breakdown of location_city. Excel, Power BI or Tableau.

  • Why do the 29 minor rows have a mean matches_played of 4.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable tournaments with tournament_name, tournament_type and game_title to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows23 columns
Yours1,000 rows23 columnslocation_city: UK only

blueprint · esports-tournament-results-data

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Include tournament name, date, participating teams, final standings
  • Ensure results are unique per event
  • Include prize pool for each tournament
  • Capture region where tournament was held
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
esports-tournament-results-data

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