Watman — CS2 Stats
SK76561198263496630[U:1:303230902]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 59.9% | 51.9% |
| Shot accuracy | 1.3% | 13.7% |
| Kill/death ratio | 1.21 | 1.08 |
| Match win rate | 48.2% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 693ms 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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 32 | 17–15 | 53% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 10). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 394 | 46% | 1.06 | 16.6 |
| Inferno | 330 | 57% | 1.22 | 18.5 |
| Dust2 | 254 | 48% | 1.07 | 16.6 |
| Ancient | 221 | 50% | 1.14 | 17.9 |
| Anubis | 213 | 46% | 1.14 | 18.4 |
| Nuke | 105 | 49% | 1.17 | 18.2 |
| Vertigo | 62 | 40% | 1.11 | 18.1 |
| Overpass | 57 | 60% | 1.02 | 15.8 |
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 0.4678 — 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 39.93% — 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 | |
|---|---|---|---|---|---|
| 11–13 | -0.03 | 41% | 27 Jun → | ||
| 1–13 | 0.00 | 0% | 26 Jun → | ||
| 5–13 | -0.03 | 42% | 26 Jun → | ||
| 7–13 | -0.06 | 29% | 24 Mar → | ||
| 13–5 | 0.05 | 24% | 19 Mar → | ||
| 9–13 | -0.03 | 36% | 18 Mar → | ||
| 15–15 | -0.07 | 30% | 17 Mar → | ||
| 13–3 | 0.04 | 33% | 16 Mar → | ||
| 10–13 | 0.09 | 49% | 16 Mar → | ||
| 13–6 | -0.02 | 29% | 12 Mar → | ||
| 11–13 | 0.10 | 27% | 12 Mar → | ||
| 13–16 | 0.02 | 26% | 11 Mar → | ||
| 13–10 | 0.00 | 40% | 11 Mar → | ||
| 13–7 | 0.00 | 34% | 11 Mar → | ||
| 8–13 | -0.01 | 39% | 11 Mar → | ||
| 13–7 | 0.01 | 17% | 11 Mar → | ||
| 13–9 | 0.07 | 33% | 11 Mar → | ||
| 6–13 | 0.00 | 31% | 11 Mar → | ||
| 5–13 | 0.00 | 30% | 11 Mar → | ||
| 22–18 | -0.04 | 26% | 9 Mar → | ||
| 17–19 | -0.06 | 19% | 9 Mar → | ||
| 13–7 | 0.02 | 33% | 9 Mar → | ||
| 13–10 | 0.07 | 29% | 7 Mar → | ||
| 13–4 | 0.11 | 28% | 7 Mar → | ||
| 13–9 | 0.01 | 32% | 6 Mar → | ||
| 8–13 | -0.02 | 33% | 6 Mar → | ||
| 13–11 | 0.01 | 20% | 6 Mar → | ||
| 13–3 | 0.06 | 29% | 5 Mar → | ||
| 13–4 | 0.09 | 49% | 5 Mar → | ||
| 15–15 | 0.03 | 27% | 27 Feb → | ||
| 11–13 | -0.01 | 19% | 26 Feb → | ||
| 11–13 | 0.02 | 24% | 26 Feb → | ||
| 9–13 | -0.01 | 19% | 26 Feb → | ||
| 13–3 | 0.03 | 34% | 25 Feb → | ||
| 14–16 | -0.01 | 20% | 19 Feb → | ||
| 15–15 | 0.02 | 23% | 19 Feb → | ||
| 13–10 | 0.01 | 32% | 19 Feb → | ||
| 13–10 | 0.00 | 19% | 17 Feb → | ||
| 5–13 | -0.02 | 37% | 17 Feb → | ||
| 13–2 | 0.08 | 16% | 17 Feb → | ||
| 1–13 | -0.08 | 27% | 16 Feb → | ||
| 16–14 | 0.07 | 24% | 16 Feb → | ||
| 13–6 | 0.03 | 24% | 12 Feb → | ||
| 13–5 | 0.09 | 33% | 12 Feb → | ||
| 5–13 | -0.05 | 22% | 12 Feb → | ||
| 13–4 | 0.02 | 23% | 12 Feb → | ||
| 13–11 | 0.03 | 23% | 8 Feb → | ||
| 13–0 | 0.03 | 47% | 2 Feb → | ||
| 6–13 | 0.01 | 23% | 30 Jan → | ||
| 10–13 | 0.03 | 23% | 29 Jan → | ||
| 4–13 | -0.08 | 36% | 29 Jan → | ||
| 10–13 | 0.01 | 23% | 29 Jan → | ||
| 3–13 | 0.01 | 24% | 29 Jan → | ||
| 16–12 | 0.02 | 37% | 27 Jan → | ||
| 13–3 | 0.03 | 27% | 27 Jan → | ||
| 16–12 | 0.04 | 21% | 22 Jan → | ||
| 10–13 | 0.05 | 35% | 22 Jan → | ||
| 13–7 | 0.06 | 30% | 22 Jan → | ||
| 5–13 | -0.02 | 14% | 22 Jan → | ||
| 13–8 | 0.00 | 40% | 22 Jan → | ||
| 13–8 | 0.01 | 40% | 21 Jan → | ||
| 6–13 | -0.05 | 31% | 21 Jan → | ||
| 13–11 | 0.00 | 30% | 21 Jan → | ||
| 13–3 | 0.11 | 41% | 20 Jan → | ||
| 10–13 | 0.01 | 32% | 20 Jan → | ||
| 13–7 | 0.10 | 27% | 7 Jan → | ||
| 13–7 | 0.05 | 29% | 6 Jan → | ||
| 4–13 | 0.02 | 26% | 3 Jan → | ||
| 9–13 | -0.04 | 27% | 3 Jan → | ||
| 8–13 | 0.00 | 26% | 3 Jan → | ||
| 5–13 | -0.02 | 24% | 3 Jan → | ||
| 5–13 | -0.00 | 30% | 15 Dec → | ||
| 13–9 | 0.05 | 33% | 15 Dec → | ||
| 5–13 | 0.00 | 33% | 13 Dec → | ||
| 13–8 | 0.07 | 36% | 13 Dec → | ||
| 12–16 | -0.02 | 39% | 12 Dec → | ||
| 13–3 | 0.06 | 27% | 12 Dec → | ||
| 13–6 | 0.07 | 43% | 12 Dec → | ||
| 13–7 | -0.01 | 27% | 12 Dec → | ||
| 13–10 | -0.03 | 22% | 9 Dec → | ||
| 13–10 | 0.00 | 29% | 9 Dec → | ||
| 13–9 | 0.01 | 22% | 9 Dec → | ||
| 13–10 | -0.03 | 17% | 6 Dec → | ||
| 14–16 | -0.03 | 25% | 1 Dec → | ||
| 13–6 | 0.01 | 23% | 1 Dec → | ||
| 9–13 | 0.02 | 18% | 1 Dec → | ||
| 13–10 | 0.01 | 28% | 1 Dec → | ||
| 13–4 | 0.03 | 31% | 1 Dec → | ||
| 4–13 | -0.06 | 40% | 1 Dec → | ||
| 13–10 | 0.01 | 25% | 1 Dec → | ||
| 13–8 | -0.03 | 31% | 30 Nov → | ||
| 13–5 | 0.09 | 30% | 30 Nov → | ||
| 13–0 | 0.03 | 27% | 30 Nov → | ||
| 9–13 | -0.00 | 35% | 29 Nov → | ||
| 5–13 | -0.04 | 33% | 28 Nov → | ||
| 11–13 | -0.07 | 28% | 28 Nov → | ||
| 13–4 | 0.02 | 22% | 28 Nov → | ||
| 9–13 | 0.01 | 22% | 21 Nov → | ||
| 12–16 | -0.05 | 18% | 19 Nov → | ||
| 9–13 | -0.03 | 25% | 18 Nov → |
Match data via Leetify.