Every tier-1 CS2 match starts days before the knife round — an analyst watches the opponent's demos, and the team walks in knowing which site bleeds, who opens rounds, and what the pistol look is. On FACEIT you're playing against the same species of information: your opponents' demos are public, sitting on FACEIT's servers. Nobody watches them, because watching demos takes hours. That's the entire gap this closes.
A CS2 demo is a full recording of the server: every player's position sampled continuously, every bomb plant with its exact coordinates, every duel, every dollar spent. One demo is hundreds of megabytes of noise wrapped around a handful of signals — because players repeat themselves far more than they think. The AWPer holds the same angle. The entry always goes the same route on pistol. The team "defaults" to the same plant site when a round gets messy.
Enemy Scout downloads your opponents' recent demos on the picked map and parses every round into a tendency digest — the same sheet a pro analyst would build by hand:
The digest is real but dry. The AI's job is to turn it into a briefing you can absorb on the warmup screen:
One design decision worth calling out: the AI only speaks from the parsed numbers. It cannot claim "they always rush B" unless the plant data says so. An AI scouting report that hallucinates tendencies is worse than no report — you'd be anti-stratting a team that doesn't exist.
Every claim traces back to rounds they actually played, and you can open the evidence: position heatmaps on a real radar showing where each enemy holds and dies, and 2D round replays you can scrub through to watch their executes develop. It's the difference between "trust the AI" and "here's the footage, compressed."
A read from 3–5 demos is a read, not a book. Percentages from a dozen rounds move a lot with one outlier half; a team can change style between Tuesday and Friday; and stand-ins invalidate everything. That's why the briefing shows its sample size, why thin data says so instead of inventing a number, and why the feature wears a BETA tag. Treat it the way a pro treats a scout: a starting plan for rounds 1–6, updated by what you actually see.
faceit.com → sfaceit.com on any
match room URL, or use the Chrome extension. Free: full player stats, smurf flags, and
win probabilities we grade publicly.Anti-stratting means preparing counters to a specific opponent's habits before the match — which bombsite they favor, who takes the opening duels, how they spend money — instead of playing your default game. Pro teams employ analysts to do it from demo footage; FaceitScout automates the same workflow for FACEIT matchmaking.
Yes. FaceitScout downloads your opponents' recent FACEIT demos, parses every round — positions sampled twice a second, plant coordinates, opening duels, buy values — into per-team tendency numbers, and an AI turns those numbers into a short T/CT game plan. The AI only speaks from the parsed numbers; it cannot invent tendencies that aren't in the footage.
A coach or analyst watches the opponent's recent demos and builds a brief: default setups, plant-site splits, who entries first, tendencies on pistol rounds. Players read it before the match and adjust their veto and early rounds. The workflow is hours of demo review per opponent — which is why it never existed at the matchmaking level until it was automated.
Fast version: scan the match room with FaceitScout (swap faceit.com for sfaceit.com in the room URL) for every player's real per-map stats and win probabilities, then run Enemy Scout on the enemy roster to parse their recent demos on the picked map. The output is a data digest — and on the Coach tier, an AI-written counter-strategy.
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Scan your match roomRelated: how accurate are our predictions? (graded publicly) · the Season 5 Cache veto guide · map veto strategy.