Tekhnika/match-prediction-team-performance-trends-free

Match Prediction Team Performance Trends

Free sports analytics sample for match event analysis, player evaluation, and dashboard prototyping.

What is included

• —match_predictions.csv: 403 rows, 10 columns
• —matches.csv: 403 rows, 10 columns
• —players.csv: 222 rows, 9 columns
• —teamformsnapshots.csv: 5652 rows, 10 columns
• —teamperformancetrends.csv: 807 rows, 10 columns
• —teams.csv: 10 rows, 8 columns

Why this dataset is useful

• —Good starter sample for sports dashboards, SQL analysis, and notebook-based exploration.
• —Useful for validating joins across matches, players, teams, events, and daily metrics.
• —Keeps the package lightweight while preserving the linked structure of the full dataset.

Starter use cases

• —Match event and xG baseline analysis.
• —Player contribution and team form dashboard prototype.

Schema overview

match_predictions.csv

• —Rows: 403
• —Columns: metricid, matchid, hometeamid, awayteamid, metricdate, predictedresult, confidencescore, homewinprobability, drawprobability, awaywinprobability

matches.csv

• —Rows: 403
• —Columns: matchid, hometeamid, awayteamid, matchdate, venuetype, matchresult, attendance, homescore, awayscore, competition

players.csv

• —Rows: 222
• —Columns: playerid, teamid, playername, primaryposition, age, nationality, dominantfoot, marketvaluem, squadrole

teamformsnapshots.csv

• —Rows: 5652
• —Columns: eventid, matchid, teamid, playerid, eventtype, minute, period, eventoutcome, xgvalue, bodypart

teamperformancetrends.csv

• —Rows: 807
• —Columns: performanceid, matchid, teamid, cleansheetratelast5, avgteamratinglast5, recentpointslast5, goaldifferencelast5, rotationindex, injurypressureindex, homeformindex

teams.csv

• —Rows: 10
• —Columns: teamid, country, teamname, leaguename, stadiumname, coachstyle, tacticalshape, squadvaluem

Free vs full version

• —Free Kaggle sample: reduced rows, reduced columns, starter notebook, and enough linked sports tables for realistic evaluation.
• —Full version: full row volume, richer feature set, full field coverage, and a stronger package for advanced sports analytics and ML workflows.

Upgrade to full version

• —Full commercial version is available via Gumroad.
• —Upgrade if you need larger volume, richer columns, or a stronger sports analytics dataset for dashboards, modeling, or portfolio-ready projects.
• —Full version: https://tekhnikalab.gumroad.com/l/match-prediction-team-performance-trends

Notes

• —Contains generated data only and no real personal data.
• —Designed as a lightweight free sample for evaluation and discovery.