Dao Overlord — CS2 Stats
US76561198853092505[U:1:892826777]Steam profile ↗✓ No bans
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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: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 80% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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.
Reaction time. 658ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 34 | 15–19 | 44% | -0.02 |
 mirage | A | 29 | 16–13 | 55% | -0.03 |
 cache | D | 9 | 3–6 | 33% | -0.05 |
 nuke | C | 8 | 3–5 | 38% | 0.01 |
 inferno | B | 6 | 3–3 | 50% | -0.05 |
 ancient | — | 3 | 1–2 | 33% | -0.02 |
 overpass | — | 3 | 2–1 | 67% | -0.03 |
 train | — | 3 | 2–1 | 67% | -0.05 |
 vertigo | — | 2 | 2–0 | 100% | -0.03 |
 anubis | — | 2 | 0–2 | 0% | -0.06 |
| office | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
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 resultsWLLLL
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.
- 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 0.453 — 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 31.7542% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–10 | -0.06 | 32% | 24 Aug → | |
| mirage | 13–5 | -0.02 | 18% | 29 Jul → | |
| dust2 | 15–15 | -0.05 | 39% | 11 Jul → | |
| mirage | 13–10 | -0.09 | 19% | 11 Jul → | |
| cache | 3–13 | 0.01 | 19% | 11 Jul → | |
| nuke | 15–15 | -0.05 | 10% | 10 Jul → | |
| dust2 | 13–9 | -0.03 | 26% | 10 Jul → | |
| mirage | 16–14 | 0.01 | 27% | 10 Jul → | |
| inferno | 12–12 | -0.03 | 26% | 6 Jul → | |
| cache | 12–12 | -0.09 | 54% | 26 Jun → | |
| dust2 | 12–12 | -0.05 | 29% | 26 Jun → | |
| mirage | 13–10 | -0.08 | 29% | 25 Jun → | |
| cache | 13–5 | 0.01 | 18% | 17 Jun → | |
| mirage | 13–6 | -0.05 | 43% | 17 Jun → | |
| cache | 9–13 | -0.05 | 27% | 16 Jun → | |
| dust2 | 11–13 | -0.05 | 27% | 16 Jun → | |
| nuke | 4–13 | -0.05 | 25% | 16 Jun → | |
| ancient | 12–12 | 0.01 | 36% | 15 Jun → | |
| cache | 13–11 | -0.05 | 30% | 15 Jun → | |
| mirage | 13–7 | 0.02 | 26% | 15 Jun → | |
| mirage | 13–7 | -0.10 | 6% | 9 Jun → | |
| cache | 13–6 | -0.09 | 10% | 9 Jun → | |
| inferno | 12–12 | -0.02 | 30% | 3 Jun → | |
| dust2 | 13–11 | -0.05 | 20% | 3 Jun → | |
| overpass | 13–11 | -0.03 | 20% | 9 May → | |
| vertigo | 9–4 | -0.05 | 23% | 9 May → | |
| cache | 12–12 | -0.04 | 56% | 9 May → | |
| dust2 | 13–10 | -0.04 | 33% | 9 May → | |
| mirage | 13–5 | 0.09 | 25% | 4 May → | |
| dust2 | 10–13 | -0.04 | 33% | 4 May → | |
| cache | 3–13 | -0.10 | 32% | 4 May → | |
| cache | 12–12 | -0.01 | 50% | 3 May → | |
| dust2 | 12–12 | 0.01 | 47% | 1 May → | |
| dust2 | 13–8 | 0.07 | 22% | 25 Apr → | |
| mirage | 6–13 | -0.03 | 21% | 13 Apr → | |
| nuke | 4–13 | -0.01 | 34% | 13 Apr → | |
| inferno | 13–11 | -0.05 | 38% | 11 Apr → | |
| nuke | 13–9 | -0.04 | 52% | 8 Apr → | |
| mirage | 13–10 | 0.01 | 35% | 8 Apr → | |
| mirage | 13–7 | -0.03 | 24% | 7 Apr → | |
| dust2 | 12–12 | -0.02 | 30% | 6 Apr → | |
| mirage | 12–12 | 0.00 | 53% | 6 Apr → | |
| mirage | 13–5 | -0.04 | 30% | 5 Apr → | |
| dust2 | 13–3 | -0.02 | 41% | 5 Apr → | |
| dust2 | 11–13 | -0.07 | 36% | 4 Apr → | |
| inferno | 9–5 | -0.09 | 40% | 4 Apr → | |
| nuke | 9–2 | 0.23 | 37% | 4 Apr → | |
| mirage | 11–13 | -0.00 | 34% | 2 Apr → | |
| dust2 | 13–5 | -0.03 | 32% | 29 Mar → | |
| mirage | 6–13 | -0.07 | 19% | 29 Mar → | |
| dust2 | 11–13 | -0.08 | 38% | 28 Mar → | |
| ancient | 12–16 | -0.07 | 13% | 4 Mar → | |
| dust2 | 13–9 | -0.01 | 23% | 18 Feb → | |
| dust2 | 6–13 | -0.04 | 60% | 17 Feb → | |
| train | 12–12 | -0.07 | 32% | 17 Feb → | |
| dust2 | 13–11 | 0.11 | 32% | 16 Feb → | |
| office | 5–13 | -0.09 | 42% | 16 Feb → | |
| nuke | 13–9 | 0.08 | 31% | 16 Feb → | |
| dust2 | 13–5 | 0.02 | 22% | 16 Feb → | |
| inferno | 7–13 | -0.05 | 21% | 16 Feb → | |
| dust2 | 13–7 | 0.03 | 32% | 14 Feb → | |
| dust2 | 11–13 | -0.00 | 26% | 14 Feb → | |
| vertigo | 13–4 | -0.02 | 29% | 12 Feb → | |
| dust2 | 5–13 | -0.06 | 15% | 11 Feb → | |
| inferno | 13–7 | -0.04 | 46% | 8 Feb → | |
| mirage | 10–13 | -0.05 | 40% | 8 Feb → | |
| mirage | 13–10 | 0.02 | 33% | 8 Feb → | |
| dust2 | 13–9 | -0.04 | 39% | 7 Feb → | |
| mirage | 5–13 | -0.05 | 29% | 6 Feb → | |
| mirage | 5–13 | -0.03 | 22% | 3 Feb → | |
| dust2 | 7–13 | -0.06 | 31% | 3 Feb → | |
| dust2 | 13–10 | 0.01 | 36% | 3 Feb → | |
| dust2 | 3–13 | -0.07 | 48% | 3 Feb → | |
| dust2 | 13–7 | 0.06 | 35% | 2 Feb → | |
| mirage | 8–1 | -0.01 | 30% | 2 Feb → | |
| anubis | 6–13 | -0.08 | 40% | 30 Jan → | |
| dust2 | 8–13 | -0.05 | 29% | 30 Jan → | |
| dust2 | 7–12 | -0.06 | 21% | 29 Jan → | |
| mirage | 13–10 | 0.02 | 46% | 29 Jan → | |
| overpass | 9–13 | -0.09 | 40% | 29 Jan → | |
| mirage | 8–13 | -0.11 | 13% | 27 Jan → | |
| mirage | 10–13 | -0.06 | 34% | 27 Jan → | |
| nuke | 2–13 | -0.08 | 27% | 23 Jan → | |
| mirage | 13–3 | 0.05 | 14% | 23 Jan → | |
| ancient | 13–7 | -0.00 | 28% | 23 Jan → | |
| anubis | 15–15 | -0.03 | 38% | 23 Jan → | |
| mirage | 11–13 | -0.01 | 33% | 20 Jan → | |
| dust2 | 5–13 | 0.01 | 36% | 20 Jan → | |
| mirage | 12–16 | -0.05 | 39% | 18 Jan → | |
| nuke | 7–13 | -0.01 | 29% | 17 Jan → | |
| dust2 | 16–14 | -0.01 | 26% | 17 Jan → | |
| train | 16–14 | -0.02 | 26% | 17 Jan → | |
| dust2 | 11–13 | -0.06 | 40% | 13 Jan → | |
| mirage | 9–12 | -0.04 | 37% | 11 Jan → | |
| dust2 | 7–13 | -0.01 | 27% | 11 Jan → | |
| train | 13–10 | -0.04 | 39% | 11 Jan → | |
| mirage | 13–8 | -0.03 | 26% | 10 Jan → | |
| mirage | 11–13 | -0.05 | 24% | 10 Jan → | |
| dust2 | 14–16 | -0.07 | 29% | 9 Jan → | |
| overpass | 13–6 | 0.03 | 40% | 8 Jan → |
Match data via Leetify.
