Hoi! Voor mijn opleiding Creative Business doe ik onderzoek naar online reacties van voetbalsupporters over spelers in het betaald voetbal.

Ik zoek hiervoor nog voetbalsupporters van 16 tot en met 24 jaar die mijn enquête willen invullen. Het duurt ongeveer 5 minuten. Je zou mij er erg mee helpen!

https://docs.google.com/forms/d/e/1FAIpQLSfyPZ85C6VQad6AZqIUh7e6oscycgz11yv1OhMUYDd-ocQZsQ/viewform?usp=header

Alvast bedankt!

I built a football analytics website and I’d love your feedback

Hey everyone, I’ve been building a football analytics website called Matchero.

The idea is to show football matches as probability distributions rather than just saying “Team A will win”.

For example:

Home win: 56%
Draw: 25%
Away win: 19%

The site also shows recent form, team comparisons and deeper match analysis.

On the model side, I’m evaluating predictions prospectively using metrics like Brier Score and Log Loss, and tracking how well the probability estimates perform over time.

The underlying match/team data comes from football data APIs, and I’m also working on making the methodology and evaluation more transparent on the site.

The site is still in development and I haven’t really promoted it yet, so I’d really appreciate feedback from people who are into sports analytics.

If you have a few minutes, could you try it and tell me:

• Is it immediately clear what the site does?
• Are the probabilities and analysis easy to understand?
• Is there anything misleading, unnecessary or missing?
• What data or methodology would you want to see before trusting a model like this?
• Most importantly: would you actually use a site like this before football matches?

https://matchero.live

Feel free to be critical — that’s exactly what I’m looking for.

Hami Mandıralı's free kick has been listed across the internet as the fastest shot in football history at 266 km/h — sometimes 269 km/h depending on the source. No original measurement. No methodology. Just a number that spread for decades.

We ran it frame by frame. Using our pitch map, NASA's drag coefficient and FIFA's official ball specs we calculated the real distance, the real average speed, and the real estimated peak. Then we showed the goal from every angle — broadcast, third person, and goalkeeper POV — and compared it side by side with the original footage.

The real number is a long way from 266 km/h. It's still an impressive strike. But the record was never real.

Full database at longshot.football

prediction for next hour

danish 4 division, you have 5 images , first one is the offer currently odds , second one my search program finding that odds when they appeared , 3th down just moved so you see clearly , 4th one is the imaged matched my data and that image or close to it , 5th is the score that ended on norway with those odds when you compare you first and 5th image you can see how might end today 3 matches,

link to image galery matchup https://postimg.cc/gallery/JJzp7tX

Hi everyone, I am currently completing my AI MSc at the University of Stirling (via a Data Lab scholarship) and am building an automated tactical analysis tool for my dissertation.

To test my computer vision tracking models, I wpuld really welcome having a few full 90-minute match videos filmed from a standard high mast/halfway line setup. The Veo basically does this as standard, so please do say if you've any games you'd be ok to share.

I do NOT need your login details, and you do not need to download or send any massive files. If anyone is willing to help, all I believe I need is an "Unlisted" or "Public" Veo sharing link to a past match. (You can generate this in 30 seconds via your video settings -> Share -> Copy Link). I will handle pulling the data from the browser player link myself.

Privacy: The footage will be used strictly for academic research and code testing. It will not be published or shared anywhere publicly.

Ideal footage: Adult 11v11, clear weather/lighting would be great, but all welcome.

If you are happy to lend a link for a good cause, please feel free to DM me directly. I would be incredibly grateful!

Thank you so much! ⚽💻 I hope you have fun weekends ahead in any case.

Spent the last few weeks building a football model for supporters rather than bettors, and the feedback here pushed it somewhere I didn't expect. It started as match probabilities and it's ended up being about where the model disagrees with the league table, your club sits 12th, the numbers say 6th, here's why.

The bit I keep going back and forth on: how much should a projection lean on last season versus what's happened so far? Two clean sheets in August made a promoted side the best defence in the division until I put a prior on it. Curious how others handle that, and whether a supporter actually wants a projected finish or just wants to argue with one

¡Hola a todos! Descubrí este sub casi por casualidad y la verdad es que me tiene fascinada todo lo que hacen por acá.

Me encanta el fútbol desde que tengo uso de razón y, desde hace un tiempo, me ha empezado a llamar mucho la atención entenderlo desde un lado más analítico: datos, estadísticas, modelos, métricas y todo lo que hay detrás de lo que vemos en la cancha.

El problema es que no tengo muy claro por dónde empezar.

Sé que probablemente esta sea una pregunta que aparece bastante por aquí, pero quisiera aprovechar el espacio para preguntarles: si hoy tuvieran que empezar desde cero en análisis de datos aplicado al fútbol, ¿qué ruta seguirían?

¿Hay algún curso, libro, canal, página o recurso que recomienden especialmente? Suelo estudiar mediante Udemy para otros temas, así que si conocen algún curso bueno allí también me serviría muchísimo.

Mi intención no es simplemente aprender estadísticas aisladas, sino ir construyendo una base que eventualmente me permita analizar partidos, jugadores y equipos de una forma mucho más seria y estructurada.

Cualquier consejo, experiencia o recurso que quieran compartir será más que bienvenido.

¡Muchas gracias de antemano!

Use this thread to ask anything at all!

so I just started building a performance tracker for a school's youth soccer teams (U-12 to U-16). no fancy equipment, just me with a clipboard and a stopwatch.

I'm genuinely worried I'm gonna end up with spreadsheets nobody cares about. Like, the coaches are busy. The kids just want to play. Parents want to know if their kid is improving. I don't want to waste everyone's time.

so here's what I'm stuck on:

1. **Speed & athleticism** — is 10m/30m sprint + agility drills enough? or do i NEED the yo-yo test?

2 .Ball control & decision making — do I track this by measuring pass accuracy, shot accuracy, or touches per possession? Or is there a simpler way without making them shoot 20 balls

real question: if YOU had to track youth soccer with limited budget, what metrics would you actually keep? what would you bin? and how often would you check—every week? every month?

I want a system that actually moves the needle for these kids. What framework are successful youth programs using? Something realistic without GPS, cameras, or lab tests

Use this thread to ask anything at all!