watuh — CS2 Stats
76561199044707156[U:1:1084441428]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 62.7% | 44.0% | 44.7% | above |
| Shot accuracy | 7.9% | 11.6% | 11.9% | 4.0% short |
| Kill/death ratio | 1.50 | 1.03 | 1.04 | above |
| Match win rate | 33.4% | 45.1% | 45.2% | 11.8% short |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingLimited 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 87% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower opening-duel success; 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
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 659ms 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 6.5/10 (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 |
|---|---|---|---|---|---|
 cache | A | 26 | 16–10 | 62% | 0.01 |
 dust2 | A | 20 | 12–8 | 60% | 0.03 |
 mirage | C | 14 | 6–8 | 43% | -0.00 |
 inferno | C | 10 | 4–6 | 40% | -0.03 |
 train | A | 7 | 4–3 | 57% | -0.00 |
 nuke | S | 5 | 4–1 | 80% | -0.01 |
 anubis | A | 5 | 3–2 | 60% | 0.00 |
 overpass | — | 4 | 2–2 | 50% | 0.04 |
 vertigo | — | 4 | 3–1 | 75% | -0.00 |
 ancient | — | 3 | 2–1 | 67% | 0.06 |
| office | — | 2 | 0–2 | 0% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 12 | 58% | 0.78 | 10.8 |
| Inferno | 7 | 71% | 1.38 | 17.6 |
| Dust2 | 5 | 60% | 0.60 | 9.2 |
| Overpass | 4 | 25% | 0.67 | 12.0 |
| Cache | 3 | 67% | 0.74 | 13.0 |
| Ancient | 2 | 100% | 1.13 | 14.0 |
| Anubis | 2 | 0% | 0.84 | 14.0 |
| Nuke | 1 | 100% | 0.53 | 10.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2087 — below the 4 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 27.6991% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–11 | -0.06 | 29% | 9 Aug → | |
| train | 13–8 | -0.02 | 18% | 9 Aug → | |
| dust2 | 13–9 | 0.00 | 13% | 9 Aug → | |
| mirage | 3–13 | -0.04 | 24% | 28 Jun → | |
| mirage | 10–13 | 0.01 | 25% | 28 Jun → | |
| overpass | 11–13 | 0.07 | 19% | 26 Jun → | |
| cache | 13–11 | -0.01 | 26% | 26 Jun → | |
| ancient | 13–10 | 0.11 | 27% | 26 Jun → | |
| inferno | 13–7 | -0.01 | 20% | 26 Jun → | |
| inferno | 12–12 | -0.05 | 30% | 23 Jun → | |
| dust2 | 13–8 | 0.00 | 23% | 23 Jun → | |
| train | 13–7 | 0.01 | 25% | 22 Jun → | |
| train | 5–13 | -0.03 | 23% | 22 Jun → | |
| train | 12–12 | 0.03 | 30% | 22 Jun → | |
| nuke | 13–7 | 0.02 | 22% | 3 Jun → | |
| vertigo | 13–8 | -0.02 | 26% | 3 Jun → | |
| anubis | 13–8 | 0.02 | 28% | 31 May → | |
| anubis | 8–13 | 0.03 | 13% | 31 May → | |
| mirage | 3–13 | -0.07 | 24% | 24 May → | |
| dust2 | 12–12 | 0.02 | 45% | 20 May → | |
| inferno | 2–13 | -0.09 | 18% | 20 May → | |
| inferno | 12–12 | -0.05 | 13% | 20 May → | |
| cache | 13–3 | -0.06 | 13% | 20 May → | |
| cache | 12–12 | 0.01 | 26% | 19 May → | |
| inferno | 12–12 | -0.02 | 29% | 19 May → | |
| mirage | 13–3 | 0.03 | 13% | 19 May → | |
| mirage | 13–8 | -0.00 | 21% | 19 May → | |
| mirage | 13–2 | 0.04 | 16% | 19 May → | |
| anubis | 1–13 | -0.03 | 29% | 19 May → | |
| dust2 | 13–9 | 0.00 | 18% | 18 May → | |
| dust2 | 13–2 | 0.08 | 24% | 18 May → | |
| dust2 | 13–5 | 0.09 | 20% | 18 May → | |
| dust2 | 8–13 | 0.01 | 22% | 18 May → | |
| cache | 12–12 | 0.01 | 21% | 18 May → | |
| dust2 | 6–13 | 0.03 | 18% | 18 May → | |
| dust2 | 13–8 | 0.05 | 21% | 18 May → | |
| inferno | 10–13 | -0.08 | 26% | 17 May → | |
| mirage | 11–13 | -0.09 | 31% | 17 May → | |
| dust2 | 10–13 | -0.04 | 11% | 17 May → | |
| dust2 | 13–8 | 0.10 | 29% | 17 May → | |
| dust2 | 13–0 | 0.08 | 26% | 17 May → | |
| dust2 | 13–11 | 0.01 | 16% | 16 May → | |
| dust2 | 13–4 | 0.05 | 17% | 16 May → | |
| dust2 | 12–12 | 0.03 | 22% | 16 May → | |
| inferno | 4–13 | -0.02 | 15% | 15 May → | |
| train | 13–11 | -0.02 | 14% | 15 May → | |
| cache | 13–4 | 0.06 | 12% | 15 May → | |
| cache | 13–7 | 0.02 | 14% | 15 May → | |
| cache | 13–8 | -0.02 | 34% | 14 May → | |
| cache | 13–8 | 0.02 | 25% | 14 May → | |
| cache | 13–7 | 0.08 | 24% | 13 May → | |
| office | 11–13 | 0.07 | 41% | 13 May → | |
| office | 4–13 | 0.03 | 29% | 13 May → | |
| cache | 11–13 | -0.03 | 23% | 13 May → | |
| overpass | 12–2 | 0.10 | 35% | 13 May → | |
| cache | 13–9 | 0.02 | 29% | 12 May → | |
| ancient | 13–3 | 0.06 | 18% | 12 May → | |
| anubis | 13–8 | -0.01 | 16% | 12 May → | |
| mirage | 13–1 | 0.09 | 21% | 12 May → | |
| cache | 1–13 | -0.06 | 16% | 12 May → | |
| overpass | 13–10 | -0.02 | 17% | 12 May → | |
| cache | 8–13 | 0.08 | 28% | 12 May → | |
| overpass | 11–13 | 0.01 | 25% | 12 May → | |
| cache | 7–13 | -0.08 | 19% | 12 May → | |
| cache | 13–6 | 0.03 | 29% | 12 May → | |
| mirage | 8–13 | 0.05 | 17% | 12 May → | |
| dust2 | 13–6 | -0.08 | 17% | 12 May → | |
| anubis | 13–11 | -0.01 | 13% | 11 May → | |
| dust2 | 5–13 | -0.07 | 11% | 11 May → | |
| nuke | 13–9 | -0.08 | 12% | 10 May → | |
| mirage | 9–13 | -0.02 | 21% | 10 May → | |
| inferno | 13–7 | -0.03 | 13% | 10 May → | |
| cache | 13–4 | 0.03 | 21% | 10 May → | |
| mirage | 13–5 | 0.02 | 31% | 10 May → | |
| vertigo | 13–6 | 0.01 | 20% | 10 May → | |
| inferno | 13–10 | 0.01 | 14% | 10 May → | |
| train | 2–13 | 0.02 | 24% | 10 May → | |
| dust2 | 12–12 | 0.03 | 17% | 10 May → | |
| cache | 13–8 | -0.02 | 24% | 10 May → | |
| nuke | 9–13 | 0.04 | 19% | 10 May → | |
| dust2 | 13–6 | 0.13 | 20% | 9 May → | |
| cache | 7–13 | 0.03 | 38% | 9 May → | |
| ancient | 11–13 | 0.02 | 21% | 9 May → | |
| train | 13–8 | 0.01 | 26% | 9 May → | |
| cache | 6–13 | -0.01 | 19% | 8 May → | |
| inferno | 13–7 | 0.03 | 18% | 8 May → | |
| nuke | 13–6 | 0.04 | 15% | 8 May → | |
| vertigo | 6–13 | -0.06 | 9% | 8 May → | |
| cache | 13–9 | 0.05 | 14% | 8 May → | |
| dust2 | 4–13 | 0.03 | 26% | 8 May → | |
| mirage | 6–13 | -0.05 | 19% | 7 May → | |
| cache | 13–8 | -0.02 | 20% | 7 May → | |
| mirage | 6–13 | -0.02 | 25% | 6 May → | |
| cache | 13–8 | 0.07 | 30% | 6 May → | |
| cache | 8–13 | -0.06 | 28% | 6 May → | |
| cache | 13–11 | 0.12 | 26% | 6 May → | |
| mirage | 13–7 | 0.05 | 18% | 5 May → | |
| cache | 13–7 | -0.00 | 19% | 5 May → | |
| cache | 4–13 | 0.01 | 42% | 5 May → | |
| vertigo | 13–9 | 0.05 | 22% | 4 May → |
Match data via Leetify.
