— CS2 Stats
76561198262334305[U:1:302068577]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 46.2% | 48.1% | 1.9% short |
| Shot accuracy | 18.3% | 12.9% | above |
| Kill/death ratio | 1.14 | 1.08 | above |
| Match win rate | 43.4% | 46.5% | 3.1% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink band 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 95% 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 95 — the mechanical foundation is a clear strength.
CT openings. 67% 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 67% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 571ms 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 7.1/10 (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 | 34 | 16–18 | 47% | 0.05 | |
| B | 30 | 16–14 | 53% | 0.05 | |
| D | 23 | 6–17 | 26% | -0.00 | |
| — | 4 | 4–0 | 100% | -0.04 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.14 | |
| shelter | — | 1 | 0–1 | 0% | 0.05 |
| office | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (26% over 23). 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 64% | 1.45 | 18.6 |
| Dust2 | 9 | 44% | 1.65 | 19.2 |
| Vertigo | 6 | 67% | 1.77 | 26.2 |
| Inferno | 5 | 40% | 1.15 | 12.4 |
| Ancient | 4 | 50% | 1.20 | 17.0 |
| Anubis | 3 | 100% | 1.89 | 21.7 |
| Overpass | 2 | 50% | 0.94 | 19.0 |
| Nuke | 1 | 100% | 1.43 | 10.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.03 | 21% | 28 Aug → | ||
| 13–8 | 0.02 | 20% | 28 Aug → | ||
| 14–16 | 0.06 | 29% | 28 Aug → | ||
| 13–5 | 0.10 | 31% | 28 Aug → | ||
| 13–9 | 0.05 | 28% | 28 Aug → | ||
| 13–6 | 0.09 | 20% | 27 Aug → | ||
| 3–4 | -0.01 | 6% | 13 Aug → | ||
| 11–13 | 0.00 | 30% | 13 Aug → | ||
| 12–16 | -0.06 | 43% | 12 Aug → | ||
| 2–9 | 0.00 | 0% | 12 Aug → | ||
| 10–13 | 0.09 | 36% | 12 Aug → | ||
| 7–7 | -0.04 | 50% | 12 Aug → | ||
| 13–8 | 0.05 | 53% | 12 Aug → | ||
| 4–13 | 0.06 | 46% | 11 Aug → | ||
| 16–12 | 0.12 | 48% | 11 Aug → | ||
| 13–6 | 0.07 | 32% | 10 Aug → | ||
| 1–13 | -0.06 | 22% | 8 Aug → | ||
| 5–13 | 0.07 | 52% | 7 Aug → | ||
| 4–13 | 0.06 | 27% | 7 Aug → | ||
| 9–13 | -0.00 | 24% | 6 Aug → | ||
| 4–13 | -0.01 | 33% | 6 Aug → | ||
| 13–16 | 0.07 | 31% | 5 Aug → | ||
| 11–13 | 0.06 | 26% | 5 Aug → | ||
| 5–13 | -0.07 | 19% | 4 Aug → | ||
| 2–13 | 0.02 | 19% | 4 Aug → | ||
| 7–13 | 0.06 | 37% | 4 Aug → | ||
| 6–13 | 0.04 | 26% | 3 Aug → | ||
| 16–14 | 0.04 | 30% | 3 Aug → | ||
| 13–11 | 0.13 | 24% | 3 Aug → | ||
| 13–10 | 0.17 | 54% | 3 Aug → | ||
| 8–13 | 0.02 | 31% | 2 Aug → | ||
| 12–12 | 0.14 | 42% | 2 Aug → | ||
| 0–13 | -0.01 | 48% | 2 Aug → | ||
| 3–13 | -0.06 | 17% | 1 Aug → | ||
| 7–13 | 0.10 | 28% | 31 Jul → | ||
| 11–13 | 0.09 | 23% | 31 Jul → | ||
| 3–13 | 0.09 | 50% | 31 Jul → | ||
| 13–10 | 0.05 | 26% | 30 Jul → | ||
| 16–13 | 0.17 | 39% | 30 Jul → | ||
| 3–13 | 0.00 | 37% | 29 Jul → | ||
| 4–13 | 0.11 | 35% | 29 Jul → | ||
| 4–13 | 0.03 | 22% | 29 Jul → | ||
| 6–13 | 0.07 | 45% | 29 Jul → | ||
| 13–8 | -0.06 | 44% | 28 Jul → | ||
| 4–13 | 0.03 | 59% | 28 Jul → | ||
| 3–13 | 0.01 | 48% | 28 Jul → | ||
| 13–4 | 0.02 | 37% | 27 Jul → | ||
| 5–13 | -0.02 | 19% | 27 Jul → | ||
| 15–15 | -0.03 | 22% | 27 Jul → | ||
| 9–13 | 0.06 | 23% | 26 Jul → | ||
| shelter | 9–13 | 0.05 | 33% | 18 Jul → | |
| office | 3–12 | 0.02 | 47% | 8 Jul → | |
| 13–3 | 0.16 | 48% | 8 Jul → | ||
| 13–7 | 0.04 | 57% | 7 Jul → | ||
| 13–4 | -0.06 | 25% | 1 Jul → | ||
| 12–0 | 0.09 | 40% | 28 Jun → | ||
| 13–11 | -0.04 | 21% | 28 Jun → | ||
| 6–13 | 0.10 | 41% | 26 Jun → | ||
| 13–6 | 0.12 | 57% | 26 Jun → | ||
| 13–10 | 0.00 | 43% | 24 Jun → | ||
| 3–13 | -0.03 | 32% | 24 Jun → | ||
| 9–3 | 0.14 | 38% | 24 Jun → | ||
| 7–13 | 0.00 | 34% | 23 Jun → | ||
| 13–7 | -0.01 | 19% | 21 Jun → | ||
| 13–8 | -0.07 | 12% | 16 Jun → | ||
| 13–7 | -0.07 | 14% | 16 Jun → | ||
| 4–13 | -0.04 | 24% | 16 Jun → | ||
| 13–8 | -0.02 | 18% | 8 Jun → | ||
| 2–13 | -0.07 | 24% | 8 Jun → | ||
| 5–13 | -0.00 | 35% | 7 Jun → | ||
| 0–13 | -0.03 | 50% | 6 Jun → | ||
| 13–10 | -0.05 | 34% | 6 Jun → | ||
| 11–13 | -0.03 | 16% | 30 May → | ||
| 13–8 | 0.02 | 25% | 27 May → | ||
| 13–9 | 0.05 | 49% | 15 May → | ||
| 13–8 | 0.04 | 28% | 14 May → | ||
| 8–13 | -0.03 | 27% | 12 May → | ||
| 8–13 | -0.05 | 29% | 12 May → | ||
| 1–13 | -0.03 | 30% | 12 May → | ||
| 13–3 | 0.15 | 9% | 12 May → | ||
| 10–13 | -0.08 | 21% | 12 May → | ||
| 13–9 | -0.03 | 31% | 12 May → | ||
| 13–6 | 0.01 | 33% | 12 May → | ||
| 13–0 | 0.08 | 24% | 11 May → | ||
| 11–13 | 0.08 | 28% | 11 May → | ||
| 13–2 | 0.06 | 29% | 11 May → | ||
| 13–10 | 0.06 | 28% | 9 May → | ||
| 8–13 | 0.09 | 24% | 8 May → | ||
| 2–13 | 0.08 | 37% | 8 May → | ||
| 5–13 | -0.06 | 43% | 8 May → | ||
| 13–10 | 0.06 | 16% | 3 May → | ||
| 13–5 | -0.00 | 31% | 3 May → | ||
| 13–9 | 0.02 | 22% | 30 Apr → | ||
| 13–11 | 0.09 | 30% | 30 Apr → | ||
| 13–11 | 0.03 | 31% | 30 Apr → | ||
| 13–7 | 0.02 | 28% | 30 Apr → | ||
| 13–7 | 0.14 | 22% | 30 Apr → | ||
| 13–7 | 0.10 | 32% | 29 Apr → | ||
| 13–3 | 0.12 | 25% | 29 Apr → | ||
| 4–13 | -0.08 | 10% | 29 Apr → |
Match data via Leetify.