Ya — CS2 Stats
76561198261467643[U:1:301201915]
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 | 33.8% | 48.1% | 14.3% short |
| Shot accuracy | 12.9% | 12.9% | meets |
| Kill/death ratio | 1.45 | 1.08 | above |
| Match win rate | 54.7% | 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: +0pp win rate · +0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective flashesLimited 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 93% 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 89 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 67% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.3/10 (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 |
|---|---|---|---|---|---|
| A | 41 | 26–15 | 63% | 0.07 | |
| C | 21 | 9–12 | 43% | 0.09 | |
| C | 13 | 5–8 | 38% | 0.04 | |
| D | 9 | 1–8 | 11% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.04 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke 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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3487 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.08 | 29% | 28 Aug → | ||
| 6–13 | 0.07 | 38% | 28 Aug → | ||
| 6–13 | 0.09 | 7% | 27 Aug → | ||
| 6–13 | 0.07 | 24% | 27 Aug → | ||
| 11–13 | 0.04 | 23% | 27 Aug → | ||
| 13–10 | 0.04 | 38% | 25 Aug → | ||
| 10–13 | 0.12 | 24% | 24 Aug → | ||
| 13–10 | 0.01 | 15% | 24 Aug → | ||
| 13–8 | 0.21 | 28% | 23 Aug → | ||
| 16–13 | 0.10 | 24% | 23 Aug → | ||
| 13–11 | 0.05 | 32% | 23 Aug → | ||
| 13–7 | 0.03 | 16% | 23 Aug → | ||
| 13–16 | 0.07 | 22% | 23 Aug → | ||
| 15–15 | 0.01 | 20% | 23 Aug → | ||
| 8–13 | 0.02 | 12% | 23 Aug → | ||
| 13–2 | 0.18 | 27% | 23 Aug → | ||
| 9–13 | 0.01 | 17% | 23 Aug → | ||
| 13–5 | 0.08 | 5% | 22 Aug → | ||
| 1–13 | -0.02 | 33% | 22 Aug → | ||
| 10–13 | 0.12 | 13% | 22 Aug → | ||
| 16–14 | 0.07 | 23% | 21 Aug → | ||
| 7–13 | 0.09 | 14% | 21 Aug → | ||
| 6–13 | 0.02 | 18% | 21 Aug → | ||
| 15–15 | -0.03 | 17% | 19 Aug → | ||
| 13–9 | 0.07 | 26% | 19 Aug → | ||
| 14–16 | 0.01 | 23% | 18 Aug → | ||
| 13–11 | 0.14 | 20% | 18 Aug → | ||
| 13–6 | 0.07 | 21% | 18 Aug → | ||
| 13–11 | 0.20 | 44% | 18 Aug → | ||
| 15–15 | 0.02 | 14% | 17 Aug → | ||
| 13–10 | 0.00 | 23% | 16 Aug → | ||
| 13–10 | 0.19 | 26% | 16 Aug → | ||
| 13–9 | 0.03 | 9% | 15 Aug → | ||
| 13–2 | 0.19 | 28% | 15 Aug → | ||
| 9–13 | 0.00 | 14% | 14 Aug → | ||
| 11–13 | 0.04 | 27% | 14 Aug → | ||
| 13–9 | 0.02 | 20% | 14 Aug → | ||
| 13–7 | 0.03 | 22% | 12 Aug → | ||
| 13–7 | 0.07 | 24% | 12 Aug → | ||
| 9–13 | 0.06 | 16% | 10 Aug → | ||
| 13–9 | 0.03 | 33% | 10 Aug → | ||
| 8–13 | -0.03 | 15% | 9 Aug → | ||
| 13–3 | 0.13 | 24% | 9 Aug → | ||
| 9–13 | -0.01 | 18% | 9 Aug → | ||
| 11–13 | 0.08 | 21% | 9 Aug → | ||
| 10–13 | -0.01 | 7% | 8 Aug → | ||
| 9–13 | 0.01 | 23% | 7 Aug → | ||
| 11–13 | 0.05 | 17% | 7 Aug → | ||
| 13–2 | 0.06 | 35% | 7 Aug → | ||
| 13–6 | 0.16 | 19% | 7 Aug → | ||
| 13–3 | 0.14 | 33% | 6 Aug → | ||
| 16–14 | 0.02 | 11% | 5 Aug → | ||
| 7–13 | 0.14 | 20% | 5 Aug → | ||
| 13–8 | -0.02 | 9% | 5 Aug → | ||
| 13–8 | 0.06 | 27% | 5 Aug → | ||
| 7–13 | 0.15 | 25% | 23 Jul → | ||
| 8–13 | 0.08 | 28% | 23 Jul → | ||
| 2–13 | -0.04 | 12% | 14 Jul → | ||
| 10–13 | -0.04 | 17% | 8 Jul → | ||
| 1–13 | -0.02 | 32% | 14 Jun → | ||
| 13–10 | 0.13 | 48% | 14 Jun → | ||
| 9–13 | -0.01 | 47% | 28 May → | ||
| 3–13 | 0.06 | 24% | 28 May → | ||
| 13–1 | 0.16 | 50% | 28 May → | ||
| 7–13 | 0.08 | 41% | 28 May → | ||
| 15–15 | 0.01 | 27% | 26 May → | ||
| 3–7 | -0.00 | 67% | 24 May → | ||
| 13–4 | 0.16 | 19% | 24 May → | ||
| 13–9 | 0.16 | 17% | 23 May → | ||
| 13–11 | 0.06 | 37% | 23 May → | ||
| 13–10 | -0.04 | 14% | 18 May → | ||
| 1–7 | 0.01 | 29% | 18 May → | ||
| 9–13 | 0.02 | 13% | 18 May → | ||
| 13–3 | 0.08 | 18% | 18 May → | ||
| 12–16 | 0.08 | 24% | 18 May → | ||
| 9–13 | 0.01 | 15% | 18 May → | ||
| 13–10 | -0.02 | 19% | 17 May → | ||
| 5–13 | -0.05 | 17% | 17 May → | ||
| 13–8 | 0.07 | 17% | 15 May → | ||
| 13–8 | 0.12 | 11% | 15 May → | ||
| 7–13 | 0.03 | 21% | 15 May → | ||
| 9–13 | 0.06 | 11% | 15 May → | ||
| 16–14 | 0.06 | 26% | 14 May → | ||
| 13–11 | 0.04 | 33% | 14 May → | ||
| 13–3 | 0.13 | 24% | 14 May → | ||
| 2–13 | 0.01 | 23% | 14 May → | ||
| 4–13 | 0.01 | 22% | 12 May → | ||
| 16–14 | 0.10 | 25% | 11 May → | ||
| 7–13 | -0.02 | 36% | 11 May → | ||
| 11–13 | 0.13 | 13% | 10 May → | ||
| 10–13 | 0.06 | 4% | 7 May → | ||
| 13–5 | 0.06 | 14% | 7 May → | ||
| 10–13 | 0.01 | 16% | 6 May → | ||
| 13–7 | 0.08 | 29% | 3 May → | ||
| 13–7 | 0.09 | 13% | 3 May → | ||
| 14–16 | 0.11 | 24% | 2 May → | ||
| 13–11 | 0.05 | 14% | 2 May → | ||
| 13–11 | 0.09 | 36% | 1 May → | ||
| 13–4 | 0.21 | 27% | 30 Apr → | ||
| 11–13 | 0.02 | 11% | 30 Apr → |
Match data via Leetify.