Why No — CS2 Stats
76561198349465723[U:1:389199995]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 | 38.3% | 48.1% | 9.8% short |
| Shot accuracy | 18.7% | 12.9% | above |
| Kill/death ratio | 1.36 | 1.08 | above |
| Match win rate | 54.1% | 46.5% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot 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: +10pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower aim 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
Areas to improve
Reaction time. 623ms 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 6.0/10 (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 | 28 | 18–10 | 64% | 0.02 | |
| A | 24 | 14–10 | 58% | 0.01 | |
| A | 20 | 11–9 | 55% | 0.02 | |
| A | 12 | 7–5 | 58% | -0.00 | |
| D | 6 | 1–5 | 17% | 0.01 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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.
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 29.0484% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.03 | 14% | 23 Aug → | ||
| 6–13 | -0.02 | 9% | 22 Aug → | ||
| 6–13 | -0.01 | 14% | 22 Aug → | ||
| 13–10 | -0.04 | 15% | 16 Aug → | ||
| 0–4 | -0.08 | 25% | 2 Aug → | ||
| 13–4 | -0.03 | 0% | 2 Aug → | ||
| 13–2 | 0.05 | 30% | 2 Aug → | ||
| 10–10 | -0.02 | 20% | 2 Aug → | ||
| 13–6 | 0.09 | 14% | 23 Jul → | ||
| 1–13 | -0.08 | 16% | 15 Jul → | ||
| 13–0 | -0.02 | 33% | 15 Jul → | ||
| 13–1 | 0.15 | 23% | 14 Jul → | ||
| 4–13 | -0.09 | 14% | 14 Jul → | ||
| 16–13 | 0.04 | 15% | 13 Jul → | ||
| 13–4 | 0.06 | 6% | 13 Jul → | ||
| 6–13 | 0.12 | 14% | 13 Jul → | ||
| 6–13 | -0.06 | 8% | 13 Jul → | ||
| 13–5 | -0.00 | 13% | 17 Jun → | ||
| 5–13 | -0.05 | 14% | 16 Jun → | ||
| 11–13 | -0.01 | 22% | 15 Jun → | ||
| 3–7 | -0.00 | 32% | 15 Jun → | ||
| 13–4 | 0.04 | 14% | 6 Apr → | ||
| 13–11 | 0.06 | 16% | 30 Mar → | ||
| 13–10 | -0.04 | 14% | 29 Mar → | ||
| 13–4 | 0.10 | 12% | 29 Mar → | ||
| 12–16 | 0.02 | 15% | 23 Mar → | ||
| 13–3 | 0.09 | 21% | 17 Mar → | ||
| 13–10 | -0.00 | 12% | 24 Feb → | ||
| 13–4 | -0.02 | 16% | 18 Feb → | ||
| 13–5 | 0.02 | 20% | 18 Feb → | ||
| 13–2 | -0.08 | 33% | 18 Feb → | ||
| 13–6 | -0.00 | 31% | 15 Feb → | ||
| 5–13 | -0.01 | 5% | 15 Feb → | ||
| 3–13 | -0.02 | 12% | 15 Feb → | ||
| 11–13 | -0.06 | 17% | 15 Feb → | ||
| 11–13 | -0.01 | 8% | 15 Feb → | ||
| 13–5 | 0.03 | 17% | 15 Feb → | ||
| 13–11 | -0.02 | 16% | 15 Feb → | ||
| 8–13 | -0.01 | 10% | 15 Feb → | ||
| 5–13 | -0.02 | 6% | 14 Feb → | ||
| 13–6 | -0.03 | 13% | 10 Feb → | ||
| 13–11 | -0.02 | 21% | 7 Feb → | ||
| 13–6 | -0.02 | 16% | 1 Feb → | ||
| 2–13 | -0.04 | 18% | 1 Feb → | ||
| 2–13 | 0.02 | 26% | 18 Jan → | ||
| 13–10 | 0.07 | 16% | 18 Jan → | ||
| 13–3 | 0.06 | 12% | 1 Jan → | ||
| 13–8 | 0.04 | 12% | 24 Dec → | ||
| 13–0 | 0.15 | 9% | 24 Dec → | ||
| 13–11 | 0.01 | 8% | 24 Dec → | ||
| 11–13 | -0.07 | 7% | 24 Dec → | ||
| 13–10 | -0.00 | 17% | 22 Nov → | ||
| 13–3 | 0.07 | 9% | 22 Nov → | ||
| 13–5 | 0.11 | 17% | 18 Nov → | ||
| 10–13 | -0.03 | 16% | 18 Nov → | ||
| 11–13 | -0.02 | 15% | 18 Nov → | ||
| 13–4 | 0.03 | 15% | 18 Nov → | ||
| 11–13 | -0.02 | 6% | 15 Nov → | ||
| 13–5 | 0.13 | 14% | 15 Nov → | ||
| 2–11 | 0.01 | 8% | 14 Nov → | ||
| 11–13 | -0.04 | 11% | 3 Nov → | ||
| 10–13 | -0.02 | 11% | 20 Jul → | ||
| 16–13 | 0.02 | 20% | 20 Jul → | ||
| 13–8 | 0.02 | 11% | 11 Jul → | ||
| 4–13 | 0.03 | 10% | 11 Jul → | ||
| 13–9 | 0.03 | 13% | 1 Jul → | ||
| 5–13 | 0.00 | 13% | 1 Jul → | ||
| 13–5 | 0.02 | 9% | 1 Jul → | ||
| 14–16 | 0.03 | 8% | 16 Jun → | ||
| 13–10 | -0.01 | 18% | 16 Jun → | ||
| 13–3 | -0.00 | 27% | 16 Jun → | ||
| 13–10 | 0.05 | 8% | 16 Jun → | ||
| 14–16 | 0.09 | 21% | 16 Jun → | ||
| 9–13 | 0.02 | 8% | 16 Jun → | ||
| 7–13 | -0.05 | 9% | 16 Jun → | ||
| 7–13 | 0.03 | 13% | 23 May → | ||
| 13–2 | -0.08 | 25% | 23 May → | ||
| 13–0 | -0.02 | 13% | 23 May → | ||
| 13–6 | 0.06 | 14% | 23 May → | ||
| 13–5 | -0.00 | 15% | 22 May → | ||
| 13–5 | 0.02 | 12% | 15 May → | ||
| 13–10 | 0.05 | 8% | 15 May → | ||
| 8–13 | -0.04 | 15% | 15 May → | ||
| 9–13 | 0.03 | 26% | 12 May → | ||
| 2–13 | -0.00 | 12% | 12 May → | ||
| 13–6 | 0.04 | 30% | 12 May → | ||
| 7–13 | 0.02 | 10% | 29 Mar → | ||
| 9–13 | -0.00 | 10% | 29 Mar → | ||
| 13–7 | 0.08 | 18% | 15 Mar → | ||
| 8–13 | -0.00 | 9% | 12 Mar → | ||
| 13–5 | 0.03 | 13% | 12 Mar → | ||
| 2–13 | -0.02 | 22% | 12 Mar → | ||
| 6–13 | 0.08 | 20% | 10 Mar → | ||
| 13–7 | 0.02 | 13% | 8 Mar → | ||
| 13–6 | -0.02 | 21% | 8 Mar → | ||
| 4–13 | 0.01 | 11% | 8 Mar → | ||
| 13–9 | -0.03 | 10% | 7 Mar → | ||
| 13–4 | 0.11 | 11% | 6 Mar → | ||
| 13–9 | 0.06 | 5% | 5 Mar → | ||
| 13–3 | 0.13 | 15% | 5 Mar → |
Match data via Leetify.