Early Access — Now Open

Intelligence Hidden
In Every Match.

StatDecode turns raw game data into strategic intelligence — surfacing opponent tendencies, IGL patterns, and exploitable behaviors that no one else can see.

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4
Demos. One Finding.
~83s
Pattern Identified
6/6
Predictions Confirmed
0
Manual Film Hours
// How It Works

Raw data in.
Decisions out.

We parse game files at the tick level — every position, every piece of utility, every decision — and translate it into patterns your coaching staff can actually use.

01
Ingest Demo Files
Upload opponent demo files or select from our match library. We parse every tick — positions, utility, kills, economy — at native game resolution.
02
Filter the Noise
Game constants, forced eco rounds, and low-stakes decisions are automatically stripped. Only genuine decisions under real pressure remain in the analytical pool.
03
Surface the Patterns
Cross-match pattern recognition identifies mechanical constants, IGL tendencies, timing signatures, and structural dependencies — with confidence scores on every finding.
04
Deliver Intelligence
Actionable scouting reports with specific exploits, timing windows, and strategic recommendations — validated against historical data before you see them.
statdecode — pattern_engine.py
$ analyze --map inferno --team FURIA --demos 3
Parsing demo files...
Filtering game constants...
Extracting utility events (1,100+)...

✓ MECHANICAL CONSTANT IDENTIFIED
Player: YEKINDAR
Zone: Banana_Lower
Timing: ~83.0s remaining
Frequency: 11/12 CT rounds
Confidence: 95%

✓ RECOMMENDATION GENERATED
Contest Banana at 84s CT-side
Rotate responsibility across 3+ players
T-side: commit Banana before 80s

✓ VALIDATED AGAINST NEXT MATCH
Predictions confirmed: 6/6
Map result: Vitality 13 — FURIA 8

$ _
// Proof of Concept

We didn't just
build a tool.
We proved it works.

Using four pro CS2 demo files from three tournaments, StatDecode traced a complete intelligence chain — from a pattern that caused a team to lose, through the adaptation they built to counter it, to the match where that adaptation proved correct.

✓ 6 of 6 predictions confirmed against live match data
Finding #1 — Mechanical Constant
YEKINDAR burns Banana at exactly 83 seconds
Appeared in 11 of 12 CT rounds across two separate tournaments against two different opponents. Not a strategy call — a deeply ingrained structural habit.
95%
pattern
confidence
Finding #2 — IGL Signal
apEX's first utility throw IS the execute call
When apEX throws at 75s+, the push is immediate. When he throws at 20-27s, he gathered information first. Opponent-specific and measurable from the data alone.
~40s
timing shift
detected
Finding #3 — Adaptation Confirmed
Vitality adopted FURIA's own Banana timing to beat them
After losing to FURIA's Banana control in Chengdu, Vitality deployed the exact same ~84s Banana burn from CT-side in Kraków — neutralizing YEKINDAR's structural advantage before the round even developed.
13–8
map won
after adaptation
// Coverage

One methodology.
Every sport.

The same five-pillar analytical framework that decoded FURIA's Inferno structure applies to any sport with accessible data. StatDecode is built to scale.

🎯
CS2 / Esports
Demo file parsing, utility pattern recognition, IGL tendency profiling, and strategic scouting reports for pro and semi-pro teams.
Live · V1
🏈
American Football
Formation tendency analysis, play-call patterns by down and distance, coordinator tendencies under pressure, and personnel grouping intelligence.
Coming Soon
⚽
Soccer / Football
Pressing trigger analysis, set piece tendencies, defensive shape patterns, and transition behavior profiling from tracking data.
Planned
🏀
Basketball
Half-court offensive structure, defensive rotation patterns, shot selection tendencies by game state, and late-clock decision profiling.
Planned
🎮
Other Esports
Valorant, League of Legends, Dota 2 — any competitive title with accessible replay or API data is within scope for the StatDecode methodology.
Planned
Your Sport
Have data?
We can decode it.
// Early Access

Be first to
decode your
opponents.

StatDecode is in active development. Early access members get priority onboarding, input on feature development, and founding member pricing.

✓ You're on the list. We'll be in touch soon.

CS2 teams, coaches, analysts, and sports orgs welcome.