EyeDea — CS2 Stats
MX76561198759048385[U:1:798782657]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 87% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 30 | 19–11 | 63% | 0.01 | |
| C | 27 | 12–15 | 44% | 0.01 | |
| D | 14 | 4–10 | 29% | -0.02 | |
| D | 11 | 3–8 | 27% | -0.01 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| sanctum | — | 1 | 0–1 | 0% | -0.14 |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 12 | 58% | 1.10 | 14.4 |
| Mirage | 12 | 50% | 1.24 | 18.3 |
| Inferno | 7 | 57% | 0.79 | 12.0 |
| Cache | 5 | 40% | 1.16 | 15.8 |
| Nuke | 5 | 40% | 1.04 | 15.2 |
| Anubis | 4 | 25% | 1.16 | 25.3 |
| Overpass | 4 | 75% | 1.00 | 16.0 |
| Ancient | 1 | 0% | 1.07 | 15.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4625 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.6595% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 27–31 | -0.01 | 29% | 27 Aug → | ||
| 16–14 | -0.03 | 27% | 23 Aug → | ||
| 5–13 | -0.01 | 22% | 18 Aug → | ||
| 4–11 | -0.09 | 38% | 16 Aug → | ||
| 5–0 | 0.01 | 71% | 16 Aug → | ||
| 10–13 | 0.01 | 30% | 9 Aug → | ||
| 13–2 | -0.02 | 46% | 11 Jul → | ||
| 4–13 | -0.02 | 37% | 11 Jul → | ||
| 13–7 | 0.01 | 20% | 11 Jul → | ||
| 13–1 | 0.05 | 39% | 11 Jul → | ||
| 4–8 | -0.06 | 35% | 9 Jul → | ||
| 13–11 | 0.01 | 39% | 5 Jul → | ||
| 0–13 | -0.07 | 0% | 29 Jun → | ||
| 16–13 | 0.10 | 33% | 25 Jun → | ||
| 6–13 | -0.04 | 29% | 21 Jun → | ||
| 9–13 | -0.06 | 21% | 20 Jun → | ||
| 9–13 | -0.04 | 19% | 13 Jun → | ||
| 13–7 | -0.07 | 25% | 12 Jun → | ||
| 10–13 | -0.05 | 38% | 7 Jun → | ||
| 13–11 | 0.01 | 35% | 7 Jun → | ||
| 13–11 | 0.06 | 34% | 30 May → | ||
| 0–13 | -0.03 | 50% | 30 May → | ||
| 2–13 | -0.02 | 12% | 17 May → | ||
| 6–13 | 0.01 | 32% | 17 May → | ||
| 13–9 | 0.01 | 24% | 3 May → | ||
| 13–3 | 0.12 | 37% | 30 Apr → | ||
| 5–13 | 0.06 | 49% | 30 Apr → | ||
| 6–13 | 0.01 | 48% | 30 Apr → | ||
| 9–13 | 0.03 | 31% | 22 Apr → | ||
| 8–13 | -0.04 | 29% | 22 Apr → | ||
| 13–6 | -0.03 | 21% | 22 Apr → | ||
| 16–12 | 0.04 | 28% | 17 Apr → | ||
| 16–13 | -0.04 | 59% | 15 Apr → | ||
| 9–13 | 0.00 | 41% | 15 Apr → | ||
| 8–13 | -0.04 | 18% | 13 Apr → | ||
| 2–13 | -0.05 | 24% | 12 Apr → | ||
| 9–13 | 0.00 | 27% | 9 Apr → | ||
| 5–13 | -0.01 | 31% | 8 Apr → | ||
| 13–0 | 0.02 | 29% | 7 Apr → | ||
| 7–13 | 0.01 | 24% | 3 Apr → | ||
| 13–6 | 0.03 | 28% | 1 Apr → | ||
| 12–3 | -0.02 | 63% | 1 Apr → | ||
| 2–13 | -0.12 | 15% | 30 Mar → | ||
| 16–12 | -0.05 | 10% | 28 Mar → | ||
| 0–13 | -0.02 | 36% | 21 Mar → | ||
| 13–9 | -0.03 | 27% | 21 Mar → | ||
| 2–13 | -0.03 | 18% | 17 Mar → | ||
| 6–13 | -0.04 | 32% | 17 Mar → | ||
| 2–9 | -0.06 | 38% | 17 Mar → | ||
| 13–2 | 0.08 | 26% | 14 Mar → | ||
| 13–9 | 0.10 | 27% | 14 Mar → | ||
| 13–5 | -0.05 | 37% | 13 Mar → | ||
| 16–13 | 0.07 | 21% | 10 Mar → | ||
| 4–13 | 0.08 | 22% | 10 Mar → | ||
| 13–11 | -0.04 | 16% | 10 Mar → | ||
| 9–13 | 0.02 | 27% | 8 Mar → | ||
| 13–9 | 0.02 | 35% | 8 Mar → | ||
| 13–6 | 0.03 | 31% | 8 Mar → | ||
| 13–0 | 0.06 | 33% | 6 Mar → | ||
| 2–13 | -0.01 | 36% | 6 Mar → | ||
| 13–5 | 0.02 | 25% | 5 Mar → | ||
| 13–6 | 0.06 | 26% | 5 Mar → | ||
| 13–3 | 0.14 | 41% | 5 Mar → | ||
| 13–6 | -0.02 | 30% | 3 Mar → | ||
| 11–13 | 0.01 | 37% | 3 Mar → | ||
| sanctum | 3–9 | -0.14 | 22% | 3 Mar → | |
| 15–15 | 0.02 | 20% | 1 Mar → | ||
| 5–13 | 0.01 | 20% | 1 Mar → | ||
| 11–13 | -0.03 | 24% | 27 Feb → | ||
| 13–5 | 0.09 | 29% | 27 Feb → | ||
| 7–9 | 0.02 | 25% | 27 Feb → | ||
| 2–9 | -0.11 | 33% | 27 Feb → | ||
| 8–13 | 0.00 | 38% | 27 Feb → | ||
| 15–15 | 0.07 | 38% | 26 Feb → | ||
| 13–6 | -0.04 | 43% | 26 Feb → | ||
| 16–14 | 0.05 | 28% | 25 Feb → | ||
| 10–13 | 0.06 | 29% | 25 Feb → | ||
| 13–6 | -0.03 | 45% | 25 Feb → | ||
| 6–13 | 0.00 | 32% | 25 Feb → | ||
| 9–5 | 0.07 | 37% | 25 Feb → | ||
| 2–9 | -0.11 | 29% | 25 Feb → | ||
| 13–16 | -0.04 | 37% | 24 Feb → | ||
| 6–13 | -0.05 | 20% | 24 Feb → | ||
| 13–16 | 0.06 | 32% | 24 Feb → | ||
| 13–9 | -0.03 | 30% | 24 Feb → | ||
| 3–13 | -0.00 | 64% | 23 Feb → | ||
| 13–6 | 0.01 | 41% | 22 Feb → | ||
| 15–15 | 0.05 | 33% | 22 Feb → | ||
| 15–15 | 0.06 | 36% | 21 Feb → | ||
| 0–13 | -0.07 | 29% | 21 Feb → | ||
| 9–13 | 0.06 | 27% | 21 Feb → | ||
| 13–11 | -0.01 | 43% | 21 Feb → | ||
| 13–10 | -0.02 | 35% | 21 Feb → | ||
| 13–7 | 0.08 | 39% | 21 Feb → | ||
| 16–13 | 0.06 | 36% | 21 Feb → | ||
| 11–13 | 0.03 | 47% | 20 Feb → | ||
| 6–13 | -0.06 | 29% | 20 Feb → | ||
| 13–10 | 0.01 | 36% | 20 Feb → | ||
| 13–3 | 0.03 | 30% | 20 Feb → | ||
| 13–3 | 0.03 | 26% | 20 Feb → |
Match data via Leetify.