predict_dota_winrate_batch

gg.batru/batru-mcp · Verify this server

Score MANY candidate next-picks for a Dota 2 draft in ONE call. Use this instead of looping predict_dota_winrate over candidates: the whole batch runs as a single model invoke server-side, so it is much faster and cheaper for everyone. For each candidate you get the CALIBRATED win rate your team would have after adding it against the given enemy draft, plus the delta vs the draft without it. Same production model as predict_dota_winrate (a reported 60% reflects a real ~60% empirical win rate). Hero names are normalised internally. Args: my_heroes: Heroes your team has already picked (names/aliases, 0-4). enemy_heroes: Enemy heroes (names/aliases, 0-5). candidates: Candidate heroes to evaluate (names/aliases, 1-150 — a full-roster sweep fits in one call). my_side: "radiant" (default) or "dire" — which side is "my_heroes". Returns {baseline_win_rate_pct, candidates:[{hero, shortName, win_rate_pct, delta_pp}]} sorted best-first; delta_pp = win_rate_pct minus the baseline (the same draft without that candidate). Report numbers verbatim. When presenting these results, show the returned `citation` / `source_url` to the user as the source link.