S — CS2 Stats
76561198295131504[U:1:334865776]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 | 61.6% | 52.0% |
| Shot accuracy | 13.2% | 13.7% |
| Kill/death ratio | 1.12 | 1.08 |
| Match win rate | 51.0% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerEffective flashes
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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 70% on CT to 54% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 8.5/10 (Elite), 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 | |
| B | 23 | 12–11 | 52% | 0.02 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1755 | 55% | 1.28 | 18.8 |
| Dust2 | 1044 | 57% | 1.28 | 17.8 |
| Ancient | 573 | 53% | 1.26 | 18.3 |
| Anubis | 544 | 52% | 1.24 | 17.6 |
| Nuke | 487 | 52% | 1.21 | 17.7 |
| Inferno | 201 | 48% | 1.25 | 16.8 |
| Train | 73 | 66% | 1.37 | 16.7 |
| Overpass | 42 | 50% | 1.13 | 15.9 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.03 | 20% | 9 Aug → | ||
| 13–10 | -0.01 | 24% | 9 Aug → | ||
| 13–8 | 0.01 | 39% | 7 Aug → | ||
| 6–13 | -0.03 | 26% | 4 Aug → | ||
| 13–7 | -0.04 | 19% | 29 Jul → | ||
| 7–13 | -0.06 | 28% | 12 Jul → | ||
| 13–11 | -0.02 | 16% | 8 Jul → | ||
| 8–13 | -0.05 | 17% | 22 Jun → | ||
| 13–6 | 0.04 | 24% | 22 Jun → | ||
| 13–10 | 0.02 | 31% | 21 Jun → | ||
| 13–5 | 0.07 | 22% | 20 May → | ||
| 13–16 | 0.04 | 20% | 17 May → | ||
| 13–4 | 0.01 | 32% | 16 May → | ||
| 13–10 | 0.13 | 23% | 16 May → | ||
| 7–13 | -0.01 | 32% | 16 May → | ||
| 13–5 | -0.03 | 23% | 15 May → | ||
| 13–4 | 0.05 | 15% | 14 May → | ||
| 13–8 | 0.07 | 24% | 14 May → | ||
| 13–8 | 0.03 | 25% | 14 May → | ||
| 11–13 | 0.02 | 23% | 14 May → | ||
| 13–7 | 0.01 | 31% | 14 May → | ||
| 13–8 | 0.04 | 25% | 4 May → | ||
| 6–13 | -0.02 | 14% | 1 May → | ||
| 13–11 | -0.04 | 28% | 30 Apr → | ||
| 13–9 | 0.09 | 32% | 26 Apr → | ||
| 7–13 | 0.06 | 22% | 23 Apr → | ||
| 4–13 | -0.06 | 33% | 23 Apr → | ||
| 13–11 | 0.01 | 24% | 12 Apr → | ||
| 3–13 | -0.05 | 33% | 5 Apr → | ||
| 13–8 | 0.01 | 43% | 3 Apr → | ||
| 10–13 | -0.02 | 24% | 31 Mar → | ||
| 13–16 | -0.01 | 21% | 22 Mar → | ||
| 13–10 | 0.02 | 25% | 21 Mar → | ||
| 13–2 | 0.05 | 16% | 18 Mar → | ||
| 6–13 | 0.02 | 29% | 15 Mar → | ||
| 13–11 | 0.00 | 20% | 4 Mar → | ||
| 13–9 | 0.10 | 30% | 27 Feb → | ||
| 5–13 | -0.01 | 12% | 27 Feb → | ||
| 10–13 | -0.04 | 26% | 27 Feb → | ||
| 13–7 | 0.06 | 36% | 27 Feb → | ||
| 13–9 | -0.03 | 15% | 26 Feb → | ||
| 13–2 | 0.03 | 36% | 26 Feb → | ||
| 10–13 | 0.01 | 21% | 26 Feb → | ||
| 8–13 | -0.01 | 8% | 26 Feb → | ||
| 3–13 | 0.03 | 24% | 25 Feb → | ||
| 10–13 | 0.04 | 14% | 24 Feb → | ||
| 10–13 | -0.03 | 17% | 9 Feb → | ||
| 13–9 | 0.01 | 13% | 4 Feb → | ||
| 5–13 | -0.03 | 25% | 3 Feb → | ||
| 16–14 | -0.02 | 14% | 20 Jan → | ||
| 11–13 | 0.10 | 33% | 20 Jan → | ||
| 8–13 | 0.01 | 31% | 12 Jan → | ||
| 6–13 | -0.05 | 27% | 12 Jan → | ||
| 5–13 | -0.06 | 17% | 12 Jan → | ||
| 11–13 | 0.01 | 22% | 12 Jan → | ||
| 13–11 | -0.04 | 14% | 9 Jan → | ||
| 16–14 | 0.03 | 23% | 8 Jan → | ||
| 14–16 | 0.03 | 21% | 7 Jan → | ||
| 9–13 | -0.04 | 13% | 5 Jan → | ||
| 13–6 | 0.09 | 25% | 30 Nov → | ||
| 13–10 | 0.04 | 28% | 28 Nov → | ||
| 13–8 | 0.05 | 23% | 7 Nov → | ||
| 22–19 | -0.00 | 23% | 18 Oct → | ||
| 10–13 | 0.02 | 22% | 7 Oct → | ||
| 4–13 | -0.04 | 29% | 7 Oct → | ||
| 13–4 | -0.01 | 15% | 6 Oct → | ||
| 13–6 | -0.01 | 30% | 6 Oct → | ||
| 11–13 | 0.04 | 27% | 5 Oct → | ||
| 5–13 | -0.06 | 28% | 5 Oct → | ||
| 13–8 | 0.05 | 23% | 5 Oct → | ||
| 10–13 | -0.02 | 32% | 11 Sept → | ||
| 4–13 | -0.00 | 24% | 11 Sept → | ||
| 13–7 | 0.02 | 31% | 10 Sept → | ||
| 13–3 | 0.02 | 18% | 10 Sept → | ||
| 4–13 | 0.01 | 19% | 9 Sept → | ||
| 13–6 | 0.01 | 40% | 9 Sept → | ||
| 8–13 | -0.01 | 33% | 9 Sept → | ||
| 13–7 | 0.07 | 30% | 8 Sept → | ||
| 16–14 | 0.05 | 33% | 8 Sept → | ||
| 8–13 | 0.01 | 18% | 5 Sept → | ||
| 11–13 | 0.06 | 29% | 5 Sept → | ||
| 14–17 | 0.02 | 16% | 31 Aug → | ||
| 13–9 | 0.02 | 13% | 31 Aug → | ||
| 10–13 | -0.01 | 18% | 31 Aug → | ||
| 10–13 | 0.03 | 17% | 28 Aug → | ||
| 7–13 | -0.04 | 27% | 27 Aug → | ||
| 13–8 | 0.08 | 21% | 27 Aug → | ||
| 10–13 | -0.02 | 42% | 6 Aug → | ||
| 13–6 | -0.02 | 17% | 29 Jul → | ||
| 13–8 | -0.06 | 30% | 27 Jul → | ||
| 12–16 | -0.04 | 12% | 27 Jul → | ||
| 14–16 | 0.01 | 30% | 27 Jul → | ||
| 13–0 | 0.09 | 21% | 27 Jul → | ||
| 13–5 | 0.01 | 34% | 27 Jul → | ||
| 6–13 | -0.06 | 22% | 26 Jul → | ||
| 8–13 | -0.00 | 30% | 24 Jul → | ||
| 13–9 | -0.01 | 24% | 17 Jul → | ||
| 13–2 | 0.04 | 19% | 16 Jul → | ||
| 13–16 | -0.04 | 18% | 13 Jul → | ||
| 13–5 | 0.00 | 29% | 11 Jul → |
Match data via Leetify.
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