surround — CS2 Stats
DE76561198040208288[U:1:79942560]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 41.1% | 52.0% |
| Shot accuracy | 16.9% | 13.7% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 50.8% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.09 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 94% playstyle similarity
Most alike: positioning profile, utility contribution.
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
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 637ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | 0.02 | |
| B | 21 | 10–11 | 48% | 0.01 | |
| C | 14 | 5–9 | 36% | 0.03 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| D | 11 | 1–10 | 9% | -0.02 | |
| S | 6 | 5–1 | 83% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| poseidon | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Mirage 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 252 | 46% | 1.03 | 15.2 |
| Ancient | 216 | 50% | 1.13 | 15.8 |
| Dust2 | 182 | 51% | 1.20 | 16.2 |
| Vertigo | 77 | 42% | 1.07 | 15.3 |
| Nuke | 64 | 56% | 1.15 | 15.8 |
| Train | 12 | 58% | 0.98 | 13.1 |
| Inferno | 7 | 29% | 0.73 | 11.1 |
| Mirage | 4 | 75% | 1.13 | 17.0 |
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.
- 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 38.4783% — 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.
9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.01 | 50% | 18 Aug → | ||
| 13–16 | 0.04 | 26% | 31 Jul → | ||
| 13–4 | 0.08 | 19% | 19 Jul → | ||
| 13–4 | 0.02 | 26% | 19 Jul → | ||
| 5–13 | 0.02 | 26% | 6 Jun → | ||
| 13–2 | 0.11 | 24% | 6 Jun → | ||
| 5–13 | -0.01 | 22% | 6 Jun → | ||
| 9–5 | 0.09 | 15% | 6 Jun → | ||
| 9–4 | 0.22 | 22% | 6 Jun → | ||
| 14–16 | 0.07 | 22% | 5 Jun → | ||
| 2–9 | -0.15 | 8% | 5 Jun → | ||
| 9–3 | 0.15 | 15% | 5 Jun → | ||
| 1–9 | -0.13 | 50% | 5 Jun → | ||
| poseidon | 8–8 | 0.05 | 31% | 4 Jun → | |
| 4–9 | -0.10 | 13% | 4 Jun → | ||
| 6–13 | 0.00 | 27% | 26 May → | ||
| 6–13 | -0.05 | 12% | 20 May → | ||
| 11–13 | -0.05 | 14% | 16 May → | ||
| 13–10 | 0.04 | 25% | 14 May → | ||
| 3–13 | 0.02 | 33% | 14 May → | ||
| 11–13 | -0.04 | 19% | 14 May → | ||
| 13–2 | 0.17 | 27% | 22 Mar → | ||
| 6–13 | -0.05 | 25% | 13 Mar → | ||
| 4–13 | -0.02 | 27% | 6 Mar → | ||
| 9–13 | 0.02 | 21% | 6 Mar → | ||
| 13–4 | 0.02 | 12% | 26 Feb → | ||
| 7–13 | -0.08 | 40% | 25 Feb → | ||
| 13–11 | 0.04 | 23% | 22 Feb → | ||
| 16–13 | 0.04 | 14% | 22 Feb → | ||
| 9–13 | 0.06 | 18% | 22 Feb → | ||
| 12–16 | 0.01 | 17% | 21 Feb → | ||
| 13–8 | -0.00 | 15% | 21 Feb → | ||
| 13–3 | 0.04 | 18% | 21 Feb → | ||
| 4–13 | 0.06 | 22% | 21 Feb → | ||
| 11–13 | 0.00 | 24% | 20 Feb → | ||
| 13–3 | 0.01 | 29% | 20 Feb → | ||
| 9–13 | 0.00 | 17% | 20 Feb → | ||
| 13–4 | 0.10 | 20% | 20 Feb → | ||
| 16–14 | -0.03 | 20% | 19 Feb → | ||
| 7–13 | 0.10 | 23% | 18 Feb → | ||
| 7–13 | 0.02 | 22% | 15 Feb → | ||
| 13–5 | 0.06 | 20% | 15 Feb → | ||
| 13–4 | 0.09 | 23% | 15 Feb → | ||
| 9–13 | 0.00 | 21% | 14 Feb → | ||
| 13–11 | 0.02 | 26% | 13 Feb → | ||
| 5–13 | -0.05 | 29% | 10 Feb → | ||
| 11–13 | -0.01 | 20% | 9 Feb → | ||
| 13–9 | -0.02 | 32% | 9 Feb → | ||
| 13–5 | 0.08 | 25% | 8 Feb → | ||
| 11–13 | 0.01 | 27% | 25 Jan → | ||
| 1–13 | -0.07 | 20% | 25 Jan → | ||
| 11–13 | 0.02 | 29% | 8 Jan → | ||
| 11–13 | -0.09 | 0% | 31 Dec → | ||
| 11–13 | -0.02 | 24% | 31 Dec → | ||
| 15–15 | -0.01 | 17% | 30 Dec → | ||
| 8–13 | 0.03 | 20% | 30 Dec → | ||
| 1–10 | -0.03 | 8% | 30 Dec → | ||
| 9–13 | 0.01 | 23% | 29 Dec → | ||
| 13–3 | 0.09 | 29% | 29 Dec → | ||
| 13–2 | 0.01 | 19% | 29 Dec → | ||
| 13–11 | -0.01 | 11% | 29 Dec → | ||
| 11–13 | 0.00 | 22% | 29 Dec → | ||
| 7–13 | 0.02 | 20% | 28 Dec → | ||
| 13–8 | -0.01 | 9% | 12 Dec → | ||
| 7–13 | -0.04 | 21% | 12 Dec → | ||
| 2–7 | 0.01 | 21% | 5 Dec → | ||
| 10–13 | 0.05 | 24% | 4 Dec → | ||
| 14–16 | 0.01 | 24% | 30 Nov → | ||
| 5–13 | -0.02 | 24% | 30 Nov → | ||
| 13–8 | 0.05 | 31% | 30 Nov → | ||
| 13–6 | 0.05 | 25% | 30 Nov → | ||
| 13–7 | 0.03 | 24% | 30 Nov → | ||
| 13–9 | 0.00 | 21% | 28 Nov → | ||
| 13–8 | -0.04 | 31% | 28 Nov → | ||
| 10–13 | -0.04 | 28% | 27 Nov → | ||
| 13–8 | 0.01 | 28% | 27 Nov → | ||
| 13–8 | 0.03 | 28% | 27 Nov → | ||
| 16–13 | 0.05 | 24% | 26 Nov → | ||
| 8–13 | -0.01 | 23% | 26 Nov → | ||
| 11–13 | -0.05 | 31% | 25 Nov → | ||
| 4–13 | -0.06 | 11% | 25 Nov → | ||
| 15–15 | 0.06 | 27% | 25 Nov → | ||
| 13–10 | -0.03 | 27% | 25 Nov → | ||
| 9–13 | -0.02 | 36% | 25 Nov → | ||
| 6–13 | 0.03 | 26% | 25 Nov → | ||
| 13–8 | 0.03 | 15% | 24 Nov → | ||
| 13–9 | -0.02 | 26% | 24 Nov → | ||
| 13–7 | 0.05 | 25% | 24 Nov → | ||
| 16–12 | 0.01 | 25% | 24 Nov → | ||
| 13–7 | 0.02 | 21% | 24 Nov → | ||
| 14–16 | -0.00 | 28% | 24 Nov → | ||
| 13–9 | 0.00 | 19% | 24 Nov → | ||
| 13–9 | 0.02 | 15% | 16 Nov → | ||
| 13–7 | -0.00 | 19% | 16 Nov → | ||
| 5–13 | -0.09 | 29% | 1 Nov → | ||
| 4–13 | -0.06 | 9% | 1 Nov → | ||
| 3–13 | -0.05 | 17% | 25 Oct → | ||
| 10–13 | -0.04 | 13% | 18 Aug → | ||
| 13–7 | 0.01 | 8% | 22 Jul → | ||
| 13–11 | -0.00 | 21% | 30 Jun → |
Match data via Leetify.