Steven Marc Scott

Haven't posted in a while. Been heads down building I've spent the last decade integrating data into scouting & recruitment workflows w/ pro football clubs, national teams, & Sportlogiq Now I'm making a tool that changes how clubs get answers from their data. I'd like to share

In my opinion, analytics shouldn't be a destination, but instead something ubiquitous with where you already are: email, group chats, voice notes, wherever you are working We're not there yet, but that's the north star at Opsys New substack is live! open.substack.com/pub/clarityqui…

2025-2026 Performance with Best XI in Bold #CanMNT

Give credit where it’s due 👏

Thierry wanting to show people the true Micah beyond the laughs is pure big brother energy, but the ability for him to take this tangent and for everyone to go with it so naturally speaks so well of all of them, and the producers of this show. The gold standard.

My thing is when you create a metric and it tells you Newcastle and Villa are better than Bayern how do you not go back to the drawing board?

TGG EXCLUSIVE: @ManCity have appointed Paul Power as their new Head of AI. Power joins from AI-driven sports data company @SkillCorner, where he had been Director of AI for more than four years, specifically looking at performance and predictions. trainingground.guru/manchester-cit…

AI will help make the quantitative evaluations and the ability to access those evaluations easier and easier over the coming years still a big gap is the qualitative information that'll still be huge for the domain experts

With Opsys I've been focusing on making the hard things simple Ask a question about your data, get an answer in seconds Integrated into your workflow so you can get your answers you need, when you need them OpsysAI.com

@jonathanstoop yeah these are all valid points. would be such a hard thing to quantify, one way or another especially figuring out a way where one assistant is good at one soft skill, while another is good at another, etc. etc definitely an interesting problem to solve

Partly, but there are two bigger problems I think: 1. Many of the best up and coming head coaches in the next 5 years aren't head coaches yet. If you filter head coaches by performance data, the most interesting candidates won't show up. 2. Disaggregating a coach's contribution to team performance is more difficult than for individual players. You don't know what aspects of team performance should be attributed to the head coach, assistant coaches, or the players.

New research on head coach recruitment at MCO groups surfaces the limitations of data-driven approaches for scouting coaches. Relying on performance metrics biases the search towards established names. Young, talented coaches don't have head coach data because they have yet to become one. Filtering by head coach data filters them out. The better search method is human-oriented. Speaking to people who've worked with them. Listening to press conferences. Personality is a higher-order indicator than tactical acumen. Coaching succession planning is as consequential as player succession planning. MCOs have a structural advantage: multiple contexts. Single clubs hyper-specify roles because they only have one job in one context to fill. MCOs can find the best people and build roles around them - the role specs adjust to the coaching profile, not the other way around. The idealized coaching pipeline mirrors the player pipeline: > Build a talent pool > Place them in the right context > Develop > Promote

Want to get started in football analytics? Our SkillCorner Open Data series gives you hands-on experience with the same data driving decisions at professional teams. In the first entry, we show you how to manipulate & visualise aggregated physical data 👇 skillcorner.com/articles/skill…

Midtjylland and Bodø/Glimt have shown the rest of Europe what 'smaller clubs' are capable of when the focus shifts from throwing a lot of money at fancy names to targeted recruitment and investment in development. Scandinavian football is full of exceptionally well-run clubs.

The Analyst is live and working with my first clubs now If you're at a club that's drowning in data but starving for answers, or you're an analyst tired of spending your days on reports that should write themselves, I'd love to chat opsysai.com Clarity, quickly

We're building toward an analytics team at your fingertips: - Automated post-match reports by morning - Squad monitored for underperformance - Transfer targets surfaced based on trends Proactive intelligence that tells you before you ask

Haven't posted in a while. Been heads down building I've spent the last decade integrating data into scouting & recruitment workflows w/ pro football clubs, national teams, & Sportlogiq Now I'm making a tool that changes how clubs get answers from their data. I'd like to share

@PeterJ_Walker yeah really liking these claude updates. may make my NL to SQL business easier!

Wiping a tear from my eye - yes to more moving data viz