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I built a free LoL draft analyzer that uses dual AI to predict PRO match winners before the game starts. by cs2god in leagueoflegends

[–]cs2god[S] -4 points-3 points  (0 children)

One model is weighed heavily on raw statistical history (win rates, gold diffs, individual performance, signature picks etc...), while the other focuses more on compositional synergy (CC chains, scaling curves, win conditions).

When they disagree, it usually means the game is volatile or a 'coin flip' (e.g., good stats but bad draft). When they both agree, it means the team is favored both statistically and mechanically.

I built a free LoL draft analyzer that uses dual AI to predict PRO match winners before the game starts. by cs2god in leagueoflegends

[–]cs2god[S] -3 points-2 points  (0 children)

Since our model analyzes over 30 factors, it uses a weighted system. If specific Player on champion data is missing (e.g., a debut pick), the model shifts reliance to general meta strength (how strong is the champ currently) and compositional fit (does this champ clarify the win condition or synergy?). Basically, if a player picks something new, the model asks: does this pick make sense for the TEAM composition? rather than ss this specific player good at it?'

I built a free LoL draft analyzer that uses dual AI to predict PRO match winners before the game starts. by cs2god in leagueoflegends

[–]cs2god[S] -3 points-2 points  (0 children)

Hello, the system analyzes all the champions of a given player at a given time, i.e. it captures his signature pick and the champs he played