Pro Clubs needs real analytics.
I’ve been running a national Pro Clubs league for ~3 years and I built an independent analytics stack for Clubs (11v11). I collect match data, publish player radars, team style profiles, and match reports, and I use advanced metrics the game doesn’t provide: pXA (passes per 0.5 xA), Beaten Rate (%), Safety Index, Shot Danger, verticality (shots-per-pass), pressing intensity, aerial dominance and more. I’m looking for feedback, collaborators, and data-driven discussion.
Why this matters
Clubs has no official API and almost no advanced stats. Beyond G/A, captains and coaches fly blind. My goal is to surface decision quality and off-ball impact so teams can recruit, prepare, and improve with evidence — not just vibes. In our league, we collected statistics through video recordings and uploaded them to the website.
Core metrics (short definitions)
- pXA — passes needed to generate 0.5 xA. Lower is better (creative efficiency).
- Beaten Rate (%) — % of defensive situations where a player is beaten. Lower is better (resilience).
- Safety Index — share of actions taken under low pressure/safe choices. Higher = safer style.
- Shot Danger — danger proxy for shots (location/context). Higher = closer/better body-shape.
- Shots per goal — finishing efficiency proxy (lower = fewer shots needed).
- Shot accuracy — on-target share.
- Pressing intensity (per 90) — tackles + interceptions; tiers: >3.0 high, 1.8–3.0 above avg, 1.0–1.8 avg, <1.0 low.
- Aerial win % / Clearances / Blocks — backline sturdiness.
- Possession share by player — % of team passes to identify playmakers vs finishers.
- Cross volume & accuracy — for wide roles (with thresholds to avoid noise).
- Finishing vs xG — over/under-performance relative to shot quality.
- And etc.
What I do with it
- Team scouting: style fingerprints (direct vs combinational, flank vs central creation).
- Role clarity: separating creators, carriers, anchors, target men.
- Weekly leaderboards and post-match reports for community engagement.
- Draft events with objective seeding and role balancing.
- Player radars (I can send you examples.).
- League analytics and more
What’s unique
- Built for Clubs (11v11), not FUT/1v1 logic.
- Consistent role templates per position with fixed metric order & interpretation.
- Threshold rules (e.g., crosses ≥15 attempts; shooting stats shown only with meaningful volume) to prevent small-sample noise.
- Public write-ups + dashboards; constant validation with teams and captains.
Looking for
- Captains/analysts: I need your opinion on how necessary it really is
- Devs/researchers: let’s discuss an ETL and privacy-friendly pipeline for Clubs data.
- EA folks: I’m happy to share the spec and community results to help push Clubs analytics forward.
