eepa — CS2 Stats
US76561198140049973[U:1:179784245]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 · +0.01 avg rating
Player DNA
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 device 87% playstyle similarity
Most alike: opening-fight frequency, 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
T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 633ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 27 | 15–12 | 56% | 0.02 | |
| C | 27 | 11–16 | 41% | 0.01 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| C | 11 | 4–7 | 36% | -0.00 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.06 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 52% | 1.15 | 16.5 |
| Dust2 | 23 | 57% | 1.15 | 14.5 |
| Ancient | 11 | 55% | 1.29 | 17.4 |
| Anubis | 7 | 57% | 1.53 | 16.3 |
| Cache | 6 | 50% | 1.17 | 17.2 |
| Inferno | 5 | 40% | 1.15 | 16.6 |
| Nuke | 4 | 50% | 1.22 | 20.0 |
| Overpass | 3 | 0% | 0.97 | 18.3 |
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.
- 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 35.6473% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.04 | 22% | 23 Aug → | ||
| 7–0 | 0.07 | 38% | 23 Aug → | ||
| 4–13 | 0.02 | 20% | 23 Aug → | ||
| 13–10 | 0.05 | 6% | 23 Aug → | ||
| 9–13 | -0.05 | 18% | 22 Aug → | ||
| 10–13 | 0.10 | 15% | 22 Aug → | ||
| 13–11 | -0.02 | 14% | 18 Aug → | ||
| 13–3 | 0.05 | 18% | 9 Aug → | ||
| 6–13 | 0.03 | 20% | 9 Aug → | ||
| 3–9 | -0.17 | 26% | 2 Aug → | ||
| 9–2 | 0.30 | 22% | 2 Aug → | ||
| 5–9 | -0.08 | 12% | 2 Aug → | ||
| 9–4 | 0.05 | 33% | 2 Aug → | ||
| 2–9 | -0.11 | 25% | 2 Aug → | ||
| 10–13 | -0.07 | 11% | 2 Aug → | ||
| 9–13 | -0.04 | 19% | 2 Aug → | ||
| 13–9 | -0.02 | 6% | 2 Aug → | ||
| 6–13 | -0.02 | 13% | 2 Aug → | ||
| 5–13 | -0.04 | 19% | 1 Aug → | ||
| 13–3 | 0.02 | 16% | 1 Aug → | ||
| 10–13 | -0.05 | 14% | 1 Aug → | ||
| 13–11 | -0.02 | 19% | 31 Jul → | ||
| 13–6 | 0.04 | 21% | 31 Jul → | ||
| 13–6 | -0.02 | 33% | 31 Jul → | ||
| 15–15 | -0.02 | 9% | 22 Jul → | ||
| 13–7 | 0.04 | 22% | 22 Jul → | ||
| 13–4 | 0.00 | 14% | 19 Jul → | ||
| 13–3 | 0.11 | 29% | 19 Jul → | ||
| 11–13 | -0.03 | 17% | 19 Jul → | ||
| 13–10 | -0.01 | 16% | 18 Jul → | ||
| 11–13 | 0.03 | 18% | 18 Jul → | ||
| 13–6 | 0.01 | 22% | 18 Jul → | ||
| 13–8 | 0.04 | 25% | 15 Jul → | ||
| 13–8 | -0.01 | 13% | 8 Jul → | ||
| 13–6 | 0.07 | 25% | 8 Jul → | ||
| 13–6 | 0.02 | 27% | 8 Jul → | ||
| 13–2 | -0.01 | 44% | 7 Jul → | ||
| 13–9 | 0.02 | 13% | 30 Jun → | ||
| 13–3 | 0.09 | 12% | 29 Jun → | ||
| 8–13 | -0.01 | 10% | 27 Jun → | ||
| 10–13 | 0.00 | 26% | 27 Jun → | ||
| 13–5 | 0.16 | 26% | 27 Jun → | ||
| 13–10 | 0.04 | 14% | 27 Jun → | ||
| 10–13 | 0.04 | 11% | 27 Jun → | ||
| 13–8 | -0.03 | 12% | 27 Jun → | ||
| 6–13 | -0.05 | 17% | 18 Jun → | ||
| 11–13 | 0.03 | 12% | 18 Jun → | ||
| 13–7 | 0.09 | 12% | 18 Jun → | ||
| 16–19 | 0.04 | 11% | 18 Jun → | ||
| 9–13 | 0.07 | 13% | 18 Jun → | ||
| 13–5 | 0.07 | 29% | 18 Jun → | ||
| 14–16 | 0.05 | 21% | 17 Jun → | ||
| 11–13 | -0.04 | 16% | 17 Jun → | ||
| 13–8 | 0.01 | 15% | 16 Jun → | ||
| 13–9 | -0.00 | 11% | 16 Jun → | ||
| 10–13 | 0.03 | 9% | 16 Jun → | ||
| 7–13 | 0.00 | 21% | 16 Jun → | ||
| 13–5 | 0.01 | 26% | 15 Jun → | ||
| 13–10 | -0.02 | 16% | 14 Jun → | ||
| 15–15 | 0.02 | 19% | 14 Jun → | ||
| 13–5 | -0.03 | 22% | 12 Jun → | ||
| 9–13 | 0.04 | 15% | 12 Jun → | ||
| 8–13 | -0.00 | 16% | 12 Jun → | ||
| 5–13 | 0.01 | 19% | 12 Jun → | ||
| 10–13 | -0.03 | 25% | 12 Jun → | ||
| 16–13 | -0.03 | 13% | 4 Jun → | ||
| 9–13 | -0.03 | 15% | 4 Jun → | ||
| 13–8 | -0.01 | 17% | 3 Jun → | ||
| 6–13 | -0.04 | 19% | 29 May → | ||
| 1–13 | -0.07 | 33% | 29 May → | ||
| 6–13 | 0.07 | 15% | 29 May → | ||
| 16–13 | 0.08 | 17% | 29 May → | ||
| 16–14 | 0.02 | 22% | 29 May → | ||
| 5–13 | -0.03 | 21% | 28 May → | ||
| 10–13 | -0.02 | 28% | 28 May → | ||
| 13–3 | 0.02 | 15% | 27 May → | ||
| 11–13 | 0.06 | 23% | 25 May → | ||
| 13–7 | -0.01 | 23% | 25 May → | ||
| 13–4 | 0.10 | 29% | 22 May → | ||
| 4–13 | -0.05 | 15% | 22 May → | ||
| 1–13 | -0.01 | 31% | 22 May → | ||
| 9–13 | 0.06 | 22% | 22 May → | ||
| 3–13 | -0.02 | 20% | 22 May → | ||
| 10–13 | 0.03 | 14% | 21 May → | ||
| 13–9 | 0.01 | 19% | 20 May → | ||
| 13–10 | -0.01 | 12% | 20 May → | ||
| 13–7 | 0.09 | 14% | 20 May → | ||
| 16–14 | 0.02 | 13% | 18 May → | ||
| 13–3 | -0.02 | 13% | 18 May → | ||
| 5–13 | 0.05 | 9% | 18 May → | ||
| 6–13 | -0.01 | 12% | 16 May → | ||
| 7–13 | -0.04 | 9% | 16 May → | ||
| 13–9 | 0.01 | 13% | 13 May → | ||
| 14–16 | 0.06 | 35% | 12 May → | ||
| 11–13 | -0.03 | 15% | 12 May → | ||
| 6–13 | -0.04 | 14% | 12 May → | ||
| 7–13 | 0.02 | 13% | 9 May → | ||
| 5–13 | -0.06 | 8% | 9 May → | ||
| 13–7 | 0.12 | 32% | 9 May → | ||
| 10–13 | 0.03 | 14% | 9 May → |
Match data via Leetify.