ooo — CS2 Stats
76561198149149123[U:1:188883395]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median |
|---|---|---|
| Headshot rate | 53.6% | 52.0% |
| Shot accuracy | 16.8% | 13.7% |
| Kill/death ratio | 1.15 | 1.08 |
| Match win rate | 48.5% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 ZywOo 93% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: 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. 565ms 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 6.8/10 (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.
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 |
|---|---|---|---|---|---|
 mirage | S | 23 | 15–8 | 65% | 0.05 |
 cache | A | 20 | 11–9 | 55% | 0.03 |
 ancient | C | 16 | 6–10 | 38% | 0.02 |
 inferno | S | 13 | 10–3 | 77% | 0.05 |
 overpass | S | 11 | 8–3 | 73% | 0.03 |
 dust2 | C | 9 | 4–5 | 44% | 0.05 |
 anubis | — | 3 | 2–1 | 67% | -0.01 |
 nuke | — | 2 | 1–1 | 50% | 0.06 |
 train | — | 1 | 0–1 | 0% | 0.00 |
 vertigo | — | 1 | 0–1 | 0% | 0.05 |
| office | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 3 | 33% | 1.84 | 24.0 |
| Nuke | 2 | 50% | 0.78 | 11.5 |
| Inferno | 2 | 50% | 1.40 | 19.0 |
| Mirage | 2 | 100% | 1.38 | 19.0 |
| Overpass | 1 | 0% | 0.80 | 12.0 |
| Anubis | 1 | 100% | 1.05 | 21.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 5–13 | -0.07 | 13% | 5 Jun → | |
| mirage | 1–13 | -0.03 | 17% | 5 Jun → | |
| mirage | 13–11 | 0.05 | 23% | 5 Jun → | |
| ancient | 4–13 | 0.03 | 16% | 5 Jun → | |
| mirage | 13–8 | 0.10 | 15% | 3 Jun → | |
| overpass | 16–14 | 0.06 | 28% | 3 Jun → | |
| mirage | 13–7 | 0.09 | 22% | 3 Jun → | |
| inferno | 13–10 | 0.01 | 24% | 3 Jun → | |
| overpass | 13–2 | 0.08 | 33% | 1 Jun → | |
| ancient | 13–1 | 0.07 | 23% | 1 Jun → | |
| inferno | 13–11 | 0.07 | 23% | 28 May → | |
| mirage | 13–8 | 0.06 | 18% | 28 May → | |
| inferno | 13–2 | 0.08 | 32% | 28 May → | |
| overpass | 10–13 | 0.04 | 17% | 27 May → | |
| mirage | 13–11 | 0.07 | 24% | 27 May → | |
| ancient | 9–13 | 0.02 | 33% | 27 May → | |
| cache | 10–13 | 0.00 | 17% | 26 May → | |
| dust2 | 4–12 | -0.02 | 45% | 26 May → | |
| mirage | 13–7 | -0.01 | 26% | 26 May → | |
| overpass | 13–3 | 0.07 | 26% | 26 May → | |
| cache | 13–11 | 0.02 | 22% | 22 May → | |
| ancient | 11–13 | 0.03 | 41% | 22 May → | |
| mirage | 3–13 | 0.00 | 42% | 22 May → | |
| inferno | 13–9 | 0.05 | 23% | 21 May → | |
| cache | 9–13 | 0.06 | 25% | 14 May → | |
| inferno | 16–13 | 0.01 | 37% | 14 May → | |
| ancient | 13–2 | 0.05 | 32% | 14 May → | |
| ancient | 10–13 | 0.03 | 33% | 14 May → | |
| cache | 11–13 | 0.04 | 19% | 5 May → | |
| cache | 5–13 | 0.03 | 17% | 2 May → | |
| cache | 13–8 | -0.04 | 17% | 2 May → | |
| cache | 7–1 | 0.02 | 44% | 1 May → | |
| cache | 13–5 | 0.10 | 16% | 1 May → | |
| cache | 13–7 | -0.01 | 24% | 30 Apr → | |
| cache | 13–4 | 0.01 | 35% | 30 Apr → | |
| cache | 13–2 | 0.14 | 31% | 30 Apr → | |
| cache | 12–12 | 0.07 | 20% | 30 Apr → | |
| cache | 12–12 | 0.01 | 24% | 30 Apr → | |
| cache | 12–12 | 0.01 | 40% | 29 Apr → | |
| cache | 13–6 | 0.11 | 39% | 29 Apr → | |
| cache | 6–13 | -0.00 | 27% | 29 Apr → | |
| cache | 8–7 | 0.02 | 35% | 29 Apr → | |
| cache | 13–2 | -0.01 | 38% | 28 Apr → | |
| cache | 11–13 | -0.01 | 28% | 28 Apr → | |
| mirage | 12–12 | 0.03 | 30% | 28 Apr → | |
| overpass | 13–9 | 0.01 | 14% | 28 Apr → | |
| dust2 | 12–12 | 0.13 | 38% | 28 Apr → | |
| overpass | 12–12 | 0.06 | 11% | 24 Apr → | |
| mirage | 13–2 | 0.08 | 23% | 24 Apr → | |
| overpass | 13–7 | -0.02 | 19% | 15 Apr → | |
| mirage | 12–12 | 0.03 | 20% | 15 Apr → | |
| inferno | 2–13 | -0.07 | 17% | 15 Apr → | |
| ancient | 9–13 | 0.01 | 24% | 15 Apr → | |
| dust2 | 8–13 | 0.07 | 39% | 15 Apr → | |
| dust2 | 13–10 | 0.13 | 27% | 14 Apr → | |
| mirage | 11–13 | 0.02 | 16% | 14 Apr → | |
| mirage | 13–4 | 0.07 | 20% | 14 Apr → | |
| ancient | 13–4 | 0.08 | 15% | 13 Apr → | |
| ancient | 13–3 | 0.09 | 30% | 2 Apr → | |
| overpass | 13–6 | 0.02 | 24% | 2 Apr → | |
| anubis | 13–4 | -0.03 | 48% | 2 Apr → | |
| inferno | 11–3 | 0.12 | 22% | 2 Apr → | |
| anubis | 13–4 | 0.02 | 21% | 31 Mar → | |
| dust2 | 13–4 | 0.06 | 25% | 31 Mar → | |
| ancient | 11–13 | -0.06 | 18% | 31 Mar → | |
| ancient | 6–13 | -0.03 | 33% | 28 Mar → | |
| mirage | 9–13 | 0.05 | 16% | 28 Mar → | |
| ancient | 9–0 | 0.05 | 27% | 28 Mar → | |
| inferno | 7–13 | 0.02 | 11% | 26 Mar → | |
| mirage | 13–10 | 0.07 | 24% | 26 Mar → | |
| mirage | 13–8 | 0.10 | 23% | 26 Mar → | |
| train | 12–12 | 0.00 | 20% | 25 Mar → | |
| mirage | 13–6 | -0.01 | 17% | 25 Mar → | |
| ancient | 7–13 | -0.02 | 22% | 25 Mar → | |
| inferno | 13–2 | 0.20 | 24% | 25 Mar → | |
| ancient | 13–7 | -0.01 | 24% | 25 Mar → | |
| dust2 | 12–12 | -0.02 | 16% | 25 Mar → | |
| vertigo | 11–13 | 0.05 | 40% | 24 Mar → | |
| overpass | 13–9 | 0.03 | 17% | 24 Mar → | |
| inferno | 13–10 | 0.02 | 15% | 23 Mar → | |
| mirage | 13–5 | 0.07 | 33% | 23 Mar → | |
| mirage | 7–13 | 0.05 | 22% | 23 Mar → | |
| dust2 | 13–9 | -0.04 | 19% | 21 Mar → | |
| inferno | 3–13 | 0.02 | 19% | 21 Mar → | |
| mirage | 13–8 | 0.07 | 23% | 21 Mar → | |
| nuke | 13–1 | 0.15 | 34% | 21 Mar → | |
| dust2 | 13–5 | 0.07 | 21% | 21 Mar → | |
| overpass | 13–9 | 0.06 | 23% | 21 Mar → | |
| cache | 13–9 | 0.05 | 33% | 21 Mar → | |
| ancient | 5–13 | 0.05 | 22% | 21 Mar → | |
| mirage | 7–13 | 0.09 | 28% | 20 Mar → | |
| office | 5–13 | 0.01 | 28% | 20 Mar → | |
| anubis | 12–12 | -0.03 | 18% | 20 Mar → | |
| dust2 | 8–13 | 0.09 | 35% | 20 Mar → | |
| mirage | 13–5 | 0.16 | 24% | 20 Mar → | |
| inferno | 16–13 | 0.05 | 22% | 20 Mar → | |
| mirage | 13–8 | -0.02 | 23% | 20 Mar → | |
| overpass | 6–9 | -0.06 | 15% | 15 Mar → | |
| inferno | 9–5 | 0.07 | 19% | 15 Mar → | |
| nuke | 5–9 | -0.03 | 30% | 15 Mar → |
Match data via Leetify.