dao — CS2 Stats
VN76561198049479342[U:1:89213614]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 10 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 1 day observed since 10 Sep 2026. Come back after the next session and the change shows above.
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Rating over time
Premier CS Rating
- At peak — 25,990
- Next: Gold band at 30,000 — 4,010 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-09-10
- Pink band first seen 2026-09-10
CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Compare periods
Last 7 days vs previous 7
| Metric | Last 7 | Previous 7 | Change |
|---|---|---|---|
| Matches | 2 | 6 | −4 |
| Win rate | 50% | 67% | −17pp |
| K/D | 0.96 | 1.01 | −0.05 |
| Headshot % | 35% | 57% | −22pp |
Measured 10 Sep 2026 → 17 Sep 2026; previous 3 Sep 2026 → 10 Sep 2026.
Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=11,988), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 41.9% | 42.7% | 43.8% | 1.9% short |
| Shot accuracy | 10.3% | 11.2% | 12.0% | 1.7% short |
| Kill/death ratio | 1.08 | 0.99 | 1.02 | above |
| Match win rate | 56.9% | 43.9% | 44.7% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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.
Player DNA
Primary style: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like NiKo 81% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-duel success; 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. 561ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.
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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 1 | 0% | 0.75 | 12.0 |
| Inferno | 1 | 0% | 0.44 | 7.0 |
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
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 28.2428% — below the 40% mark we flag