✞♿♛✓么⭕⃤ ✹⃤·★ — CS2 Stats
IL76561199032455336[U:1:1072189608]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
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 79% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower aim profile; 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
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 53% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.0/10 (Developing), 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 40 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 | 17 | 10–7 | 59% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| S | 5 | 4–1 | 80% | 0.06 | |
| S | 5 | 5–0 | 100% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | 0.08 | |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 40 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (59% over 17). 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.
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.326 — below the 0.5 mark we flag
- 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 22.8053% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.06 | 23% | 31 May → | ||
| 13–6 | -0.03 | 10% | 31 May → | ||
| 13–7 | 0.01 | 32% | 31 May → | ||
| 11–13 | -0.04 | 13% | 29 May → | ||
| 13–8 | 0.06 | 48% | 29 May → | ||
| 1–6 | -0.03 | 9% | 29 May → | ||
| 13–7 | 0.03 | 22% | 29 May → | ||
| 13–9 | 0.02 | 22% | 29 May → | ||
| 12–12 | -0.08 | 38% | 29 May → | ||
| 13–6 | -0.04 | 38% | 29 May → | ||
| 10–13 | -0.01 | 26% | 29 May → | ||
| 13–8 | -0.01 | 29% | 29 May → | ||
| 13–6 | -0.02 | 33% | 28 May → | ||
| 13–11 | 0.01 | 26% | 28 May → | ||
| 13–6 | 0.05 | 36% | 28 May → | ||
| 4–9 | 0.02 | 16% | 20 May → | ||
| 9–7 | 0.00 | 21% | 12 May → | ||
| 9–6 | -0.01 | 16% | 12 May → | ||
| 9–6 | 0.03 | 30% | 6 May → | ||
| 16–10 | -0.03 | 19% | 30 Apr → | ||
| 7–9 | -0.08 | 13% | 30 Apr → | ||
| 9–4 | 0.07 | 19% | 20 Apr → | ||
| 5–9 | 0.05 | 17% | 19 Apr → | ||
| 9–4 | 0.14 | 16% | 14 Apr → | ||
| 9–7 | 0.03 | 19% | 1 Apr → | ||
| 9–4 | 0.11 | 18% | 1 Apr → | ||
| 9–4 | 0.09 | 22% | 10 Feb → | ||
| 9–2 | 0.06 | 23% | 10 Feb → | ||
| 9–4 | -0.05 | 25% | 10 Feb → | ||
| 7–9 | 0.00 | 25% | 10 Feb → | ||
| 6–9 | 0.08 | 16% | 8 Feb → | ||
| 9–2 | -0.03 | 19% | 7 Feb → | ||
| 5–9 | 0.05 | 29% | 7 Feb → | ||
| 4–9 | -0.04 | 10% | 9 Dec → | ||
| 9–2 | 0.14 | 27% | 28 Nov → | ||
| 8–8 | -0.03 | 14% | 3 Nov → | ||
| 5–9 | 0.08 | 25% | 24 Oct → | ||
| 9–4 | 0.07 | 14% | 15 Oct → | ||
| 9–5 | 0.02 | 19% | 15 Oct → | ||
| 10–16 | 0.00 | 17% | 8 Jul → |
Match data via Leetify.