Open football analytics tutorials & MI training footage
SkillCorner published open‑data tutorials for football analytics and Mumbai Indians released training footage emphasising data‑driven prep — together they show accessible routes into performance analytics with player movement and visualization tools announced and shown. Those resources are practical starting points for building an analyst portfolio using Python, visualization and event data.
SkillCorner published a public dataset containing broadcast-derived XY tracking from exactly 10 matches sampled from the 2024/2025 A‑League season [repo]. (github.com) That repository ships runnable notebooks and tutorial Colab links for parsing events and plotting positional traces, plus a companion Python SDK documented on ReadTheDocs [repo][docs]. (github.com) A packaged SkillCorner client is available on PyPI as skillcorner (version 3.0.0, released Feb 27, 2026), enabling programmatic pulls of competitions, matches and player records for reproducible analysis [PyPI]. (pypi.org) Community uptake is already visible: a SkillCorner × PySport Analytics Cup was announced to crowdsource use-cases for the open tracking data, and multiple independent GitHub projects demonstrate positional-analysis and visualization workflows built on the dataset [PySport][examples]. (pysport.org) Mumbai Indians released training clips filmed at Wankhede and in-camp intra-squad sessions that the franchise packages as MI Daily and behind-the-scenes features [MI YouTube][intra-squad]. (youtube.com) MI’s staff have publicly described delivering analytics via a bespoke performance app and credited analysts for tactical and fitness inputs, illustrating an in‑house pipeline from data to coach-facing visuals that matches the SkillCorner workflow model [team analyst][HT]. (mumbaiindians.com) For entry-level hiring signals: clubs list roles like Performance Analyst/Scouting Analyst (Python, pandas, visualization), Matchday Operations Assistant (logistics for training camps and intramurals), and Player Liaison/Analytics‑informed Agent support (data used in acquisition and auction strategy) — these job functions mirror tools shown in the SkillCorner notebooks and MI prep coverage [Soccermatics][cricvive][MI]. (soccermatics.readthedocs.io) Concrete portfolio projects that follow the story: reproduce a player sprint‑profile and heatmap from the SkillCorner notebooks and publish the code on GitHub [repo]; stitch MI training clips with overlayed conditioning metrics to demonstrate match‑prep storytelling for operations stakeholders [MI YouTube]; and submit a short entry to the PySport Analytics Cup to validate techniques against peers [SkillCorner repo][MI YouTube][PySport]. (github.com)
