The gap isn't talent.
It's information.
Top Chinese, Korean, and SEA esports teams have one thing emerging rosters don't: analysts, databases, and scouting reports. They know your tendencies before they drop. You know theirs from gut feel and unrewatched VODs.
Datavyas extracts the same competitive intelligence — automatically, from the tournament broadcast itself. The capability international teams have spent a decade building. Delivered as a service.
Every match generates thousands of data points. No team captures them.
A single PMGC match: 64 players, 16 teams, hundreds of engagements. Manual extraction takes 3–4 hours per match. Studying 50 matches to find real patterns: 150+ hours of analyst time. So almost nobody does it — and the teams who do keep their work private.
- Dedicated analyst staff studying every VOD
- Multi-tournament databases on every opponent
- Pre-tournament scouting reports per matchup
- Quantified playstyles, timings, target priorities
- Watch VODs occasionally, rewatch rarely
- Compete on instinct against teams with files on them
- Discover an opponent's tendencies mid-tournament
- Lose to preparation, not mechanics
The gap is preparation. The lever is automation. That's what we built.
VOD in. Structured intelligence out.
Drop a tournament broadcast into the pipeline. Get back a clean, queryable database of every event, every player, every match — ready for analysis.
Every engagement
Killer, victim, action type (knock vs kill), and timestamp. Weapon probability where detectable.
Match rankings
Final ranks, placement points, elimination counts, total points — captured across the full match.
Elimination order
Players remaining over time. Teams remaining over time. The exact frame each team was wiped.
Who fights whom
Derived from kill-feed flow: matchup frequency, rivalries, third-party opportunities.
Six questions your IGL has been guessing on.
Each one answerable from extracted data alone. Each one a decision you make every match.
“Should we take this fight?”
Head-to-head intelligence
You vs Team X across 30 matches: you killed them 18 times, they killed you 27. 40% win rate. Avoid. Third-party or disengage.
“Who do we need to watch?”
Danger player identification
One player accounts for 45% of Team X's total kills. Prioritize him in any engagement. The other three are secondary.
“When are they dangerous?”
Timing patterns
Team SOUL: 18% of kills early game, 52% late game. They're a late-game team. Fight them in Phase 1–2 or not at all.
“How do they actually play?”
Playstyle classification
Aggressive early, passive late, frag hunters, placement players, balanced — every team scored on the matrix from real data.
“Who do they hunt?”
Targeting patterns
Team DRX takes 23% of their kills from SOUL. That's a rivalry, not a coincidence. Position to third-party.
“What does the full opponent look like?”
Scouting reports
A one-page profile per opponent: playstyle, key players, head-to-head, when to engage, when to avoid. Generated, not written.
Tournament video in. Match database out.
The pipeline runs end-to-end today. It has processed real tournament footage from PMGC 2025 Gauntlet — 18 matches, 1,500+ kill events, full standings, full survival data — fully automated.
- 01Frame extractionffmpeg sampling at 3 fps. Live and replay modes.
- 02Region detectionKill-feed slots, team HUD, points table — cropped per frame.
- 03Event classificationCustom ResNet-18 distinguishing Kill, Knock, and noise frames.
- 04Player resolutionPaddleOCR + fuzzy roster matching defeats OCR noise on stylized player names.
- 05Attribution engineGame-rule encoded: kills credited to the knocker when a teammate finishes the target. Team wipes detected. Ranks derived from wipe ordering.
- 06Scouting databaseClean structured output, queryable for head-to-head, danger players, timing, playstyle, targeting, full opponent reports.
Gauntlet stage · all 3 days · 18 matches
Kills, knocks, and standings — fully attributed
What this replaces. Per 50 matches. Per team.
The architecture is broadcast-agnostic. PUBG Mobile is proven. The same pipeline generalizes to other kill-feed and HUD-driven games.
Why this works where nothing else does.
Broadcast is the source
No publisher API. No cooperation required. If the tournament has a VOD, we have the data. That's the entire competitive moat for esports analytics outside the top-five publishers.
Rules-aware analytics
Generic counters miss what matters. We encode game logic: knocker-credit on finishes, team wipes from per-player state, placement vs frag points. The numbers reflect how the game actually counts.
Honest about scope
WHO killed WHOM, and WHEN — today, with high accuracy. WHERE on the map — Phase 2. We tell you what we can answer and what we can't. No vapor.
Today we answer WHO + WHEN. Next we add WHERE.
Combat intelligence
- Kill-feed extraction
- Match standings & survival
- Head-to-head & playstyle
- Danger players & timing windows
- Generated scouting reports
Location intelligence
- Minimap parsing
- Rotation tracking
- Zone-circle detection
- Map-specific patterns
- Position-relative analysis
Real-time & predictive
- Live integration during scrims
- POV-level breakdowns
- Predictive rotation modeling
- In-tournament intelligence feed
Built for the side that doesn't already have analysts.
The teams who need this most are the ones who can't afford what the top-five rosters spend on it. We close that gap.
Esports teams
Rosters competing in regional and international tournaments. Pre-tournament scouting, post-match review, opponent files.
Esports organizations
Multi-roster orgs needing shared intelligence infrastructure across titles and squads.
Tournament organizers
Live structured stats for broadcast augmentation, narrative graphics, and post-event reports.
Odds & fantasy
Real-time event streams for live betting markets and fantasy pricing — derived from public feeds.
We process your next tournament.
You bring the talent.
A bounded pilot for teams ready to compete on preparation, not just mechanics. We process the relevant tournament VODs, build the opponent database, and deliver scouting reports for your next bracket.
3 months of relevant VODs ingested end-to-end
Per-opponent profiles for your next major tournament
Live access to head-to-head, players, timing, playstyle
You name the insights that matter; we prioritize extraction
“In any competition, the team with better information makes better decisions. Better decisions compound into better results. This isn't theory — it's math.”