useless wonder — CS2 Stats
76561198188818951[U:1:228553223]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid 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 ropz 88% playstyle similarity
Most alike: positioning profile, 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. 646ms 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 (×1.00 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 |
|---|---|---|---|---|---|
| B | 27 | 14–13 | 52% | 0.01 | |
| D | 26 | 8–18 | 31% | -0.01 | |
| S | 16 | 14–2 | 88% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| warden | — | 2 | 0–2 | 0% | -0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 0% | 1.08 | 19.0 |
| Anubis | 1 | 100% | 2.33 | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4341% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.3153 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–8 | -0.11 | 9% | 26 Aug → | ||
| 9–13 | 0.03 | 16% | 25 Aug → | ||
| 13–7 | 0.02 | 16% | 25 Aug → | ||
| 9–13 | -0.02 | 8% | 25 Aug → | ||
| 13–5 | 0.07 | 13% | 25 Aug → | ||
| 11–13 | -0.06 | 8% | 25 Aug → | ||
| 13–6 | 0.02 | 21% | 25 Aug → | ||
| 13–8 | 0.08 | 30% | 23 Aug → | ||
| 5–13 | -0.04 | 8% | 5 Aug → | ||
| 2–13 | -0.06 | 13% | 5 Aug → | ||
| 5–13 | -0.06 | 2% | 30 Jul → | ||
| 12–12 | -0.00 | 8% | 23 Jul → | ||
| 13–9 | -0.02 | 4% | 1 Jul → | ||
| 8–13 | -0.02 | 16% | 1 Jul → | ||
| 9–13 | 0.01 | 8% | 24 Jun → | ||
| 7–13 | -0.07 | 8% | 23 Jun → | ||
| 10–13 | -0.03 | 14% | 3 Jun → | ||
| 12–12 | -0.00 | 10% | 30 Apr → | ||
| 13–7 | 0.01 | 4% | 19 Apr → | ||
| 13–10 | -0.03 | 6% | 19 Apr → | ||
| 13–7 | 0.01 | 16% | 9 Apr → | ||
| 2–13 | -0.05 | 13% | 8 Apr → | ||
| 11–13 | 0.04 | 16% | 3 Apr → | ||
| 13–3 | -0.00 | 12% | 3 Apr → | ||
| 3–13 | -0.05 | 11% | 3 Apr → | ||
| 13–4 | 0.08 | 13% | 3 Apr → | ||
| 13–11 | 0.04 | 28% | 3 Apr → | ||
| 9–13 | -0.07 | 5% | 1 Apr → | ||
| 13–5 | 0.10 | 15% | 1 Apr → | ||
| 13–4 | 0.09 | 20% | 1 Apr → | ||
| 13–10 | -0.03 | 10% | 12 Mar → | ||
| 3–13 | -0.07 | 16% | 7 Mar → | ||
| 13–3 | 0.03 | 3% | 7 Mar → | ||
| 6–13 | -0.03 | 9% | 7 Mar → | ||
| 10–13 | -0.02 | 13% | 6 Mar → | ||
| 13–11 | -0.04 | 36% | 6 Mar → | ||
| 7–13 | -0.03 | 12% | 6 Mar → | ||
| 15–15 | -0.02 | 13% | 6 Mar → | ||
| 13–9 | 0.01 | 10% | 5 Mar → | ||
| 13–11 | -0.01 | 13% | 5 Mar → | ||
| 13–11 | -0.06 | 14% | 5 Mar → | ||
| 13–11 | -0.04 | 17% | 5 Mar → | ||
| 10–13 | -0.04 | 32% | 28 Feb → | ||
| 13–11 | 0.03 | 15% | 28 Feb → | ||
| 13–9 | 0.10 | 21% | 28 Feb → | ||
| 13–8 | 0.06 | 17% | 28 Feb → | ||
| 12–12 | -0.00 | 16% | 27 Feb → | ||
| 13–11 | -0.07 | 8% | 27 Feb → | ||
| 12–12 | 0.01 | 21% | 26 Feb → | ||
| 5–3 | -0.02 | 33% | 26 Feb → | ||
| 7–13 | 0.01 | 8% | 26 Feb → | ||
| 13–10 | 0.07 | 18% | 26 Feb → | ||
| 9–4 | 0.01 | 22% | 26 Feb → | ||
| 13–6 | -0.03 | 14% | 26 Feb → | ||
| 13–9 | -0.00 | 17% | 25 Feb → | ||
| 12–12 | 0.03 | 14% | 25 Feb → | ||
| 13–4 | 0.04 | 0% | 25 Feb → | ||
| 13–10 | 0.01 | 8% | 19 Feb → | ||
| 13–3 | 0.08 | 16% | 19 Feb → | ||
| 13–8 | -0.03 | 11% | 19 Feb → | ||
| 11–13 | 0.02 | 16% | 13 Feb → | ||
| 0–2 | -0.05 | 0% | 13 Feb → | ||
| 4–13 | -0.02 | 9% | 13 Feb → | ||
| 3–13 | -0.04 | 33% | 5 Feb → | ||
| 13–11 | -0.01 | 22% | 5 Feb → | ||
| warden | 5–13 | -0.01 | 3% | 5 Feb → | |
| warden | 3–13 | 0.00 | 21% | 4 Feb → | |
| 13–11 | 0.02 | 25% | 4 Feb → | ||
| 11–4 | 0.10 | 29% | 3 Feb → | ||
| 5–13 | 0.02 | 18% | 1 Feb → | ||
| 11–3 | 0.07 | 10% | 1 Feb → | ||
| 12–12 | 0.02 | 11% | 1 Feb → | ||
| 13–4 | 0.02 | 9% | 1 Feb → | ||
| 13–5 | -0.00 | 9% | 1 Feb → | ||
| 2–13 | -0.04 | 41% | 31 Jan → | ||
| 12–12 | -0.00 | 25% | 31 Jan → | ||
| 10–13 | 0.03 | 19% | 28 Jan → | ||
| 5–13 | 0.02 | 16% | 28 Jan → | ||
| 13–10 | 0.02 | 20% | 2 Jan → | ||
| 13–10 | -0.00 | 18% | 2 Jan → | ||
| 7–4 | -0.04 | 11% | 1 Jan → | ||
| 13–4 | 0.02 | 23% | 24 Dec → | ||
| 6–13 | -0.00 | 12% | 22 Dec → | ||
| 10–13 | -0.03 | 15% | 21 Dec → | ||
| 13–8 | 0.00 | 21% | 21 Dec → | ||
| 6–13 | -0.01 | 16% | 20 Dec → | ||
| 12–12 | -0.01 | 4% | 20 Dec → | ||
| 10–13 | -0.02 | 13% | 17 Dec → | ||
| 13–4 | 0.10 | 10% | 4 Dec → | ||
| 12–12 | 0.02 | 12% | 4 Dec → | ||
| 12–12 | 0.02 | 16% | 4 Dec → | ||
| 9–13 | 0.04 | 14% | 4 Dec → | ||
| 9–13 | -0.02 | 24% | 29 Oct → | ||
| 12–12 | -0.04 | 21% | 28 Oct → | ||
| 8–1 | -0.02 | 0% | 27 Oct → | ||
| 13–7 | 0.06 | 19% | 23 Oct → | ||
| 8–13 | -0.04 | 26% | 10 Oct → | ||
| 7–13 | -0.02 | 24% | 1 Sept → | ||
| 13–8 | 0.02 | 22% | 1 Sept → | ||
| 13–8 | 0.00 | 13% | 1 Sept → |
Match data via Leetify.
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