Back when Comparisonator dropped CompaGPT in February 2025, I didn\u2019t think much of it at first. Another AI tool, another press release. Then I spent a weekend feeding it random Opta exports from the Austrian 2. Liga and suddenly the thing was writing scouting reports better than half the analysts I know. It takes the billion-plus data points they\u2019ve indexed across 271 leagues and turns them into sentences you can forward straight to a sporting director without rewriting a word. No more \u201chere\u2019s a spreadsheet, figure it out.\u201d The output reads like someone who\u2019s watched every minute of every game but somehow still has time to sleep.<\/p>\n\n\n\n
At its core it\u2019s a fine-tuned LLM that only speaks football. You throw in raw parameters\u2014xG chains, packing rates, high-speed running distances, press intensities, whatever\u2014and it answers in proper paragraphs. The killer feature is the AI Points system: every player gets one universal score that already accounts for league strength, age curve, positional scarcity, and tactical fit. Ask it to rank every U23 central<\/a> midfielder in Europe by projected impact if you moved them to the Premier League tomorrow and it\u2019ll give you a list with explanations attached.<\/p>\n\n\n\n Real example from April: I wanted to know who the most underrated wide player in the Championship was. CompaGPT spat out Jack Clarke from Sunderland (AI Points 312), pointed out his crossing accuracy under pressure sits in the 94th percentile, his expected assists are suppressed because teammates finish like drunks, and a virtual transfer to a top-half Premier League side would bump his output another 22%. Ipswich ended up buying him three weeks later. Coincidence? Maybe. But the report was scary accurate.<\/p>\n\n\n\n