• Gaming
  • 16 columns
  • 80 rows
  • 8 formats

Esports Team Burnout Predictor

This dataset provides detailed, player-level metrics on collaboration, match schedules, rest habits, stress indicators, and support resource usage for remote Esports teams. It enables gaming studios and team managers to identify early signs of burnout, optimize resource allocation, and improve both team performance and player wellbeing through data-driven interventions.

  • last updated 22 Nov 2025
  • by GoMask
The brief that made it

Early detection of burnout risk among Esports players

Sample rows

preview · 8 of 80 rows · all 16 columns
team_idstringrolestringaverage_daily_rest_hoursfloatremote_location_countrystringteam_namestringplayer_idstringplayer_namestringcollaboration_sessions_weekintegermatches_played_weekintegerscheduled_matches_next_weekintegerlast_rest_daydatestress_levelintegerburnout_risk_scorefloatmanager_idstringsupport_resources_accessed_weekintegerdata_recorded_datedate
TEAM001captain7.2South KoreaOmega StrikePLYR001Lucas Park6452024-05-2560.43MGR00112024-05-27
TEAM002support8.4ChinaQuantum PulsePLYR002Sophia Chen7562024-05-2640.21MGR00202024-05-27
TEAM003strategist6.8FranceVortex KnightsPLYR003Maxime Dubois5342024-05-2450.37MGR00312024-05-27
TEAM004analyst9.1SwedenNova TitansPLYR004Emma Johansson4232024-05-2330.18MGR00402024-05-27
TEAM005coach5.7BrazilInferno CorePLYR005Diego Ramirez6672024-05-2280.79MGR00522024-05-27
TEAM006support6.5United StatesZenith ForcePLYR006Ava Smith8772024-05-2570.61MGR00612024-05-27
TEAM007strategist7.8JapanShadow ReignPLYR007Kai Tanaka5542024-05-2160.45MGR00702024-05-27
TEAM008analyst10.2CanadaPhantom DivisionPLYR008Hannah Lee3222024-05-2620.11MGR00802024-05-27

What the 80 rows show

from the 80-row sample

Analyst role stands out: mean average_daily_rest_hours is 9.2, against 7.2 for the rest.

  • 7.4median average_daily_rest_hours
  • 5median collaboration_sessions_week
  • 4median matches_played_week
  • 4median scheduled_matches_next_week
  • 6median stress_level
  • 0.37median burnout_risk_score
Mean average_daily_rest_hours by role80 rows
05106.4capta…12 rows6.6suppo…16 rows6.9strat…12 rows9.2analy…16 rows7.8coach13 rows8.4other11 rows
average_daily_rest_hours80 rows, in bands of 1
01020141720146725912average_daily_rest_hours →

Median 7.4, from 5.1 to 11.4.

remote_location_country80 rows · top 10 of 37 values
  1. South Korea6
  2. United States5
  3. France4
  4. Brazil4
  5. China3
  6. Canada3
  7. Russia3
  8. Germany3
  9. United Kingdom3
  10. Australia3
16 columns by typefrom the column list below
  • string 7
  • integer 5
  • float 2
  • date 2

Columns

16 columns in three groups
blueprint · 16 columns
columntypedescriptionexample
Text 7 columns
team_idstringUnique identifier for the Esports teamuniqueTEAM001
team_namestringOfficial name of the Esports teamOmega Strike
player_idstringUnique identifier for the playeruniquePLYR001
player_namestringFull name of the playerLucas Park
rolestringPlayer's role within the team (e.g., captain, support, strategist)6 valuescaptain
manager_idstringUnique identifier for the team manageroptionalMGR001
remote_location_countrystringCountry where the player is remotely locatedSouth Korea
Numbers 7 columns
collaboration_sessions_weekintegerNumber of team collaboration sessions attended by the player in the past week0 or more6
matches_played_weekintegerNumber of matches played by the player in the past week0 or more4
scheduled_matches_next_weekintegerNumber of matches scheduled for the player in the upcoming week0 or more5
average_daily_rest_hoursfloatAverage number of rest hours per day for the player over the past week0 to 247.2
stress_levelintegerSelf-reported stress level by the player (scale 1-10)1 to 106
burnout_risk_scorefloatCalculated burnout risk score for the player (0.0 - 1.0)0 to 1 · optional0.43
support_resources_accessed_weekintegerNumber of times the player accessed support resources (e.g., counseling, wellness tools) in the past week0 or more · optional1
Dates and times 2 columns
last_rest_daydateDate of the player's most recent full rest dayoptional2024-05-25
data_recorded_datedateDate when this record was captured2024-05-27

Use it for

  • median average…7.480 rowsmean average daily re…6.4capt…6.6supp…6.9stra…9.2anal…

    A gaming dashboard

    Average_daily_rest_hours by role and a breakdown of remote_location_country. Excel, Power BI or Tableau.

  • Why do the 16 analyst rows have a mean average_daily_rest_hours of 9.2?

    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 teams with team_name, player_id and player_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 16 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset80 rows16 columns
Yours1,000 rows16 columnsremote_location_country: UK only

blueprint · esports-team-burnout-predictor

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 16 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
  • Each row represents data for one Esports team member per week.
  • Track average hours spent in matches, practice sessions, and team meetings.
  • Include self-reported stress and sleep quality scores.
  • Log frequency of peer interactions and remote collaboration tools usage.
  • Flag burnout risk based on combined metrics exceeding predefined thresholds.
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
esports-team-burnout-predictor

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