That’s an intriguing idea – the key will be gathering high‑resolution weather data around the moments you think are “clutch.” I’d start with temperature, humidity, wind speed, and maybe even cloud cover, then cross‑reference those with the in‑game metrics you track. The more variables you can feed the model, the more accurate it’ll be, but you have to keep the data clean and the assumptions transparent. Don’t forget the human side – a sudden thunderstorm can also shift adrenaline levels, not just the atmospheric conditions. If you can get the data, I’d love to help sketch out the statistical framework.