♿s1mple♿ — CS2 Stats
US76561199725365606[U:1:1765099878]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 52.9% | 42.1% | 42.1% | above |
| Shot accuracy | 0.1% | 12.9% | 12.1% | 12.0% short |
| Kill/death ratio | 1.34 | 1.00 | 0.99 | above |
| Match win rate | 50.5% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.08 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited utility dependence
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 m0NESY 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower 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
Strengths
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
CT openings. 76% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 76% on CT to 57% on T — the same duels are being taken with worse setups on the attacking side.
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 (×0.95 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 |
|---|---|---|---|---|---|
| S | 41 | 27–14 | 66% | 0.04 | |
| A | 38 | 21–17 | 55% | 0.04 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.09 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (55% over 38). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 17 | 35% | 0.63 | 10.5 |
| Dust2 | 12 | 42% | 0.76 | 12.3 |
| Nuke | 5 | 20% | 1.01 | 14.6 |
| Anubis | 3 | 33% | 0.81 | 12.0 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5039 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.03 | 43% | 21 Jun → | ||
| 7–13 | -0.19 | 0% | 21 Jun → | ||
| 13–3 | 0.05 | 35% | 21 Jun → | ||
| 13–4 | -0.03 | 38% | 21 Jun → | ||
| 13–6 | 0.00 | 44% | 21 Jun → | ||
| 13–7 | 0.01 | 53% | 20 Jun → | ||
| 8–4 | 0.03 | 64% | 19 Jun → | ||
| 5–13 | 0.05 | 43% | 19 Jun → | ||
| 9–1 | 0.02 | 100% | 19 Jun → | ||
| 13–8 | 0.06 | 33% | 19 Jun → | ||
| 13–6 | 0.17 | 62% | 19 Jun → | ||
| 13–6 | 0.09 | 59% | 19 Jun → | ||
| 2–0 | 0.00 | 0% | 19 Jun → | ||
| 13–6 | 0.13 | 44% | 19 Jun → | ||
| 13–6 | 0.05 | 39% | 19 Jun → | ||
| 8–13 | 0.01 | 26% | 19 Jun → | ||
| 7–13 | 0.16 | 43% | 18 Jun → | ||
| 6–13 | 0.06 | 57% | 18 Jun → | ||
| 13–5 | 0.13 | 33% | 18 Jun → | ||
| 12–12 | 0.05 | 25% | 18 Jun → | ||
| 9–1 | 0.00 | 0% | 18 Jun → | ||
| 13–3 | -0.00 | 28% | 18 Jun → | ||
| 13–11 | 0.09 | 32% | 18 Jun → | ||
| 13–6 | 0.03 | 28% | 18 Jun → | ||
| 13–6 | 0.15 | 28% | 18 Jun → | ||
| 13–3 | 0.08 | 18% | 8 Jun → | ||
| 13–3 | 0.09 | 33% | 8 Jun → | ||
| 3–13 | -0.01 | 18% | 8 Jun → | ||
| 13–11 | 0.06 | 24% | 7 Jun → | ||
| 13–9 | 0.02 | 41% | 7 Jun → | ||
| 13–8 | 0.12 | 33% | 7 Jun → | ||
| 13–7 | -0.00 | 21% | 7 Jun → | ||
| 13–11 | 0.12 | 54% | 5 Jun → | ||
| 13–8 | -0.02 | 20% | 5 Jun → | ||
| 5–13 | -0.01 | 39% | 5 Jun → | ||
| 12–12 | 0.01 | 46% | 31 May → | ||
| 12–12 | 0.04 | 23% | 31 May → | ||
| 12–12 | 0.14 | 11% | 31 May → | ||
| 2–13 | 0.01 | 62% | 31 May → | ||
| 5–13 | -0.05 | 25% | 31 May → | ||
| 13–0 | 0.04 | 67% | 31 May → | ||
| 10–13 | 0.09 | 15% | 31 May → | ||
| 13–4 | 0.03 | 24% | 31 May → | ||
| 12–12 | 0.03 | 21% | 26 May → | ||
| 9–2 | 0.12 | 50% | 26 May → | ||
| 3–13 | 0.04 | 21% | 26 May → | ||
| 13–3 | 0.02 | 24% | 25 May → | ||
| 8–13 | 0.08 | 36% | 25 May → | ||
| 12–12 | -0.01 | 32% | 25 May → | ||
| 13–10 | 0.04 | 41% | 25 May → | ||
| 13–2 | 0.15 | 32% | 25 May → | ||
| 13–8 | 0.07 | 33% | 26 Feb → | ||
| 4–13 | 0.05 | 25% | 26 Feb → | ||
| 13–9 | 0.02 | 38% | 26 Feb → | ||
| 5–2 | -0.03 | 25% | 26 Feb → | ||
| 5–13 | -0.05 | 67% | 26 Feb → | ||
| 13–1 | -0.01 | 44% | 26 Feb → | ||
| 3–13 | 0.02 | 31% | 26 Feb → | ||
| 13–0 | 0.13 | 29% | 26 Feb → | ||
| 13–2 | 0.01 | 0% | 26 Feb → | ||
| 13–2 | 0.09 | 38% | 23 Feb → | ||
| 10–13 | -0.03 | 32% | 23 Feb → | ||
| 3–2 | 0.04 | 40% | 23 Feb → | ||
| 13–3 | 0.12 | 40% | 23 Feb → | ||
| 13–10 | 0.01 | 34% | 23 Feb → | ||
| 0–13 | -0.01 | 40% | 22 Feb → | ||
| 13–2 | 0.10 | 45% | 22 Feb → | ||
| 13–1 | 0.10 | 63% | 22 Feb → | ||
| 8–13 | 0.03 | 35% | 4 Feb → | ||
| 13–11 | 0.02 | 38% | 4 Feb → | ||
| 13–5 | 0.06 | 41% | 4 Feb → | ||
| 13–2 | 0.04 | 57% | 4 Feb → | ||
| 7–0 | 0.11 | 64% | 4 Feb → | ||
| 11–13 | 0.03 | 36% | 4 Feb → | ||
| 11–13 | 0.00 | 13% | 4 Feb → | ||
| 13–9 | 0.04 | 31% | 24 Jan → | ||
| 6–13 | 0.01 | 52% | 24 Jan → | ||
| 13–5 | 0.08 | 43% | 24 Jan → | ||
| 13–2 | 0.08 | 25% | 24 Jan → | ||
| 13–8 | 0.06 | 21% | 24 Jan → | ||
| 7–0 | 0.04 | 83% | 24 Jan → | ||
| 12–12 | -0.04 | 43% | 24 Jan → | ||
| 13–1 | 0.12 | 70% | 24 Jan → | ||
| 2–13 | 0.04 | 34% | 24 Jan → | ||
| 4–12 | -0.04 | 50% | 23 Jan → | ||
| 9–13 | 0.05 | 45% | 23 Jan → | ||
| 10–13 | 0.02 | 34% | 23 Jan → | ||
| 10–11 | 0.05 | 41% | 21 Jan → | ||
| 13–6 | 0.07 | 32% | 21 Jan → | ||
| 12–12 | -0.03 | 25% | 21 Jan → | ||
| 13–5 | 0.08 | 17% | 21 Jan → | ||
| 13–7 | 0.05 | 20% | 21 Jan → | ||
| 4–13 | -0.12 | 10% | 30 May → | ||
| 13–6 | -0.07 | 30% | 24 May → | ||
| 13–7 | -0.04 | 2% | 23 May → | ||
| 7–13 | -0.06 | 9% | 23 May → | ||
| 9–13 | 0.04 | 14% | 22 May → | ||
| 16–13 | -0.05 | 5% | 22 May → | ||
| 11–13 | -0.06 | 8% | 20 May → | ||
| 3–13 | -0.06 | 17% | 20 May → |
Match data via Leetify.