sniep — CS2 Stats
NL76561198968223551[U:1:1007957823]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 donk 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 58% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 569ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 61 | 31–30 | 51% | 0.05 | |
| C | 20 | 8–12 | 40% | 0.06 | |
| A | 10 | 6–4 | 60% | 0.08 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.11 | |
| office | — | 1 | 0–1 | 0% | -0.06 |
| warden | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 18 | 67% | 1.33 | 17.5 |
| Dust2 | 15 | 73% | 1.71 | 19.2 |
| Ancient | 10 | 60% | 1.51 | 16.1 |
| Inferno | 10 | 80% | 1.34 | 16.8 |
| Nuke | 4 | 75% | 1.04 | 14.5 |
| Train | 3 | 67% | 1.47 | 17.0 |
| Mirage | 3 | 67% | 1.13 | 21.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.04 | 25% | 14 Aug → | ||
| 13–7 | 0.03 | 14% | 14 Aug → | ||
| 12–12 | 0.09 | 24% | 13 Jul → | ||
| 13–11 | 0.08 | 23% | 1 Jul → | ||
| 9–13 | 0.03 | 23% | 1 Jul → | ||
| 13–7 | 0.01 | 23% | 25 Jun → | ||
| 5–13 | 0.08 | 21% | 25 Jun → | ||
| 9–13 | 0.03 | 16% | 24 Jun → | ||
| 13–10 | 0.03 | 14% | 24 Jun → | ||
| 13–9 | 0.11 | 25% | 24 Jun → | ||
| 19–16 | 0.07 | 18% | 24 Jun → | ||
| 13–9 | 0.13 | 19% | 23 Jun → | ||
| 5–13 | -0.01 | 15% | 23 Jun → | ||
| 11–13 | 0.11 | 23% | 23 Jun → | ||
| 10–13 | -0.05 | 11% | 23 Jun → | ||
| 6–9 | -0.04 | 14% | 22 Jun → | ||
| 13–8 | 0.17 | 22% | 22 Jun → | ||
| 9–13 | -0.01 | 25% | 22 Jun → | ||
| 13–3 | 0.07 | 18% | 22 Jun → | ||
| 13–3 | 0.06 | 16% | 22 Jun → | ||
| 13–8 | 0.07 | 20% | 22 Jun → | ||
| 13–2 | 0.09 | 7% | 20 Jun → | ||
| 12–12 | 0.03 | 18% | 17 Jun → | ||
| 13–9 | 0.02 | 24% | 17 Jun → | ||
| 13–9 | 0.07 | 16% | 16 Jun → | ||
| 13–9 | 0.16 | 26% | 16 Jun → | ||
| 13–8 | 0.06 | 15% | 15 Jun → | ||
| 13–10 | 0.13 | 27% | 15 Jun → | ||
| 1–13 | -0.01 | 43% | 15 Jun → | ||
| 12–12 | 0.05 | 30% | 14 Jun → | ||
| 13–3 | 0.19 | 25% | 14 Jun → | ||
| 8–13 | -0.01 | 23% | 11 Jun → | ||
| 8–13 | 0.03 | 24% | 11 Jun → | ||
| 8–13 | -0.01 | 16% | 11 Jun → | ||
| 12–12 | 0.16 | 26% | 7 Jun → | ||
| 8–13 | 0.11 | 25% | 7 Jun → | ||
| 6–13 | -0.02 | 16% | 3 Jun → | ||
| 11–13 | 0.01 | 13% | 3 Jun → | ||
| 13–6 | -0.06 | 16% | 3 Jun → | ||
| 9–13 | 0.08 | 23% | 3 Jun → | ||
| office | 0–13 | -0.06 | 26% | 2 Jun → | |
| 13–10 | 0.11 | 28% | 2 Jun → | ||
| 12–12 | 0.09 | 22% | 2 Jun → | ||
| 8–13 | 0.13 | 28% | 2 Jun → | ||
| 11–13 | 0.05 | 27% | 1 Jun → | ||
| 13–4 | 0.12 | 29% | 1 Jun → | ||
| 10–13 | 0.05 | 14% | 1 Jun → | ||
| 12–12 | 0.20 | 19% | 1 Jun → | ||
| 13–10 | 0.06 | 19% | 1 Jun → | ||
| 9–13 | 0.07 | 22% | 31 May → | ||
| 11–13 | 0.04 | 21% | 31 May → | ||
| 6–13 | 0.04 | 26% | 31 May → | ||
| 12–12 | 0.13 | 26% | 29 May → | ||
| 7–13 | 0.09 | 14% | 28 May → | ||
| 13–9 | -0.02 | 11% | 28 May → | ||
| 8–13 | 0.02 | 24% | 27 May → | ||
| 8–13 | 0.03 | 16% | 26 May → | ||
| 13–11 | 0.02 | 10% | 26 May → | ||
| warden | 9–13 | 0.04 | 22% | 26 May → | |
| 2–13 | 0.08 | 28% | 26 May → | ||
| 13–4 | 0.11 | 45% | 26 May → | ||
| 13–3 | 0.08 | 13% | 25 May → | ||
| 13–5 | 0.07 | 19% | 25 May → | ||
| 12–6 | 0.06 | 18% | 25 May → | ||
| 3–13 | -0.04 | 10% | 24 May → | ||
| 11–13 | -0.04 | 15% | 20 May → | ||
| 13–9 | 0.02 | 21% | 20 May → | ||
| 13–10 | -0.01 | 17% | 20 May → | ||
| 13–10 | 0.04 | 20% | 15 May → | ||
| 13–5 | 0.08 | 35% | 15 May → | ||
| 13–2 | 0.16 | 12% | 15 May → | ||
| 9–13 | -0.02 | 16% | 14 May → | ||
| 13–8 | 0.02 | 21% | 14 May → | ||
| 9–13 | 0.07 | 21% | 14 May → | ||
| 13–4 | 0.16 | 28% | 14 May → | ||
| 12–12 | 0.10 | 15% | 14 May → | ||
| 13–2 | 0.17 | 14% | 14 May → | ||
| 13–6 | 0.01 | 20% | 14 May → | ||
| 13–9 | 0.02 | 21% | 12 May → | ||
| 8–13 | -0.02 | 12% | 11 May → | ||
| 13–11 | 0.09 | 10% | 11 May → | ||
| 13–6 | 0.09 | 21% | 10 May → | ||
| 5–13 | -0.06 | 43% | 10 May → | ||
| 7–13 | -0.08 | 28% | 10 May → | ||
| 5–13 | -0.03 | 24% | 10 May → | ||
| 13–9 | -0.03 | 22% | 10 May → | ||
| 13–10 | 0.01 | 13% | 9 May → | ||
| 12–12 | 0.00 | 22% | 6 May → | ||
| 10–13 | 0.00 | 14% | 6 May → | ||
| 13–10 | 0.02 | 32% | 6 May → | ||
| 1–13 | -0.02 | 27% | 6 May → | ||
| 7–13 | -0.04 | 19% | 5 May → | ||
| 11–13 | 0.03 | 14% | 5 May → | ||
| 7–13 | 0.15 | 18% | 5 May → | ||
| 13–3 | 0.19 | 16% | 5 May → | ||
| 8–13 | 0.07 | 19% | 4 May → | ||
| 13–11 | -0.01 | 29% | 3 May → | ||
| 13–10 | -0.02 | 20% | 3 May → | ||
| 2–13 | 0.10 | 32% | 3 May → | ||
| 8–4 | 0.05 | 24% | 3 May → |
Match data via Leetify.