Demonbarrel_ — CS2 Stats
76561198079536465[U:1:119270737]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.01 avg rating
Player DNA
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 69% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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.
CT openings. Opening success drops from 37% on T to 14% on CT — first contacts on the defending side are being lost.
Reaction time. 597ms 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 4.1/10 (Developing), 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 77 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 | 19 | 10–9 | 53% | -0.01 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| B | 10 | 5–5 | 50% | -0.04 | |
| A | 9 | 5–4 | 56% | -0.03 | |
| S | 5 | 4–1 | 80% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.04 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| — | 2 | 0–2 | 0% | -0.09 | |
| debris | — | 1 | 0–1 | 0% | -0.13 |
| shelter | — | 1 | 1–0 | 100% | -0.03 |
| assembly | — | 1 | 0–1 | 0% | -0.23 |
Across the last 77 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 50% | 0.60 | 5.5 |
| Ancient | 2 | 50% | 0.52 | 7.0 |
| Mirage | 1 | 100% | 0.87 | 13.0 |
| Cache | 1 | 100% | 0.75 | 18.0 |
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 13.4798% — below the 15% mark we flag
- 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 0.4226 — 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 36.9803% — 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.
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 | |
|---|---|---|---|---|---|
| 13–3 | -0.01 | 12% | 12 Aug → | ||
| 13–6 | -0.03 | 17% | 12 Aug → | ||
| 2–13 | -0.09 | 31% | 12 Aug → | ||
| 5–13 | -0.08 | 14% | 12 Aug → | ||
| 19–16 | -0.02 | 17% | 11 Aug → | ||
| 13–10 | -0.00 | 9% | 11 Aug → | ||
| 3–13 | -0.08 | 0% | 10 Aug → | ||
| 13–5 | 0.08 | 18% | 10 Aug → | ||
| 15–15 | -0.01 | 14% | 10 Aug → | ||
| 5–9 | -0.10 | 0% | 10 Aug → | ||
| 9–6 | -0.11 | 14% | 10 Aug → | ||
| debris | 3–9 | -0.13 | 27% | 10 Aug → | |
| 13–2 | 0.08 | 9% | 9 Aug → | ||
| 10–13 | -0.04 | 8% | 9 Aug → | ||
| 13–8 | -0.02 | 10% | 6 Aug → | ||
| 8–13 | -0.05 | 22% | 5 Aug → | ||
| 16–12 | -0.02 | 10% | 5 Aug → | ||
| 4–13 | -0.09 | 9% | 5 Aug → | ||
| 13–4 | -0.07 | 14% | 4 Aug → | ||
| 12–0 | -0.01 | 9% | 4 Aug → | ||
| 10–13 | 0.00 | 9% | 2 Aug → | ||
| 13–4 | -0.00 | 14% | 2 Aug → | ||
| 8–13 | 0.02 | 14% | 2 Aug → | ||
| 10–13 | -0.00 | 13% | 2 Aug → | ||
| 8–13 | -0.07 | 16% | 2 Aug → | ||
| 14–16 | -0.05 | 13% | 2 Aug → | ||
| 13–4 | -0.07 | 4% | 18 Jul → | ||
| 9–4 | 0.14 | 8% | 18 Jul → | ||
| 8–13 | -0.01 | 22% | 18 Jul → | ||
| shelter | 13–5 | -0.03 | 20% | 17 Jul → | |
| 10–13 | -0.12 | 12% | 10 Jul → | ||
| 13–7 | -0.01 | 16% | 6 Mar → | ||
| 4–9 | -0.22 | 0% | 2 Mar → | ||
| 8–8 | -0.09 | 14% | 2 Mar → | ||
| 13–7 | -0.05 | 19% | 1 Mar → | ||
| 6–13 | -0.06 | 7% | 12 Feb → | ||
| 5–13 | -0.02 | 15% | 7 Feb → | ||
| 10–13 | 0.05 | 18% | 7 Feb → | ||
| 13–8 | 0.05 | 16% | 7 Feb → | ||
| 13–1 | -0.02 | 6% | 6 Feb → | ||
| 13–2 | -0.06 | 5% | 6 Feb → | ||
| 13–2 | -0.04 | 3% | 6 Feb → | ||
| 13–8 | 0.02 | 21% | 6 Feb → | ||
| 3–13 | -0.07 | 14% | 5 Feb → | ||
| 13–9 | 0.06 | 16% | 5 Feb → | ||
| 13–11 | -0.01 | 9% | 4 Feb → | ||
| 8–13 | -0.04 | 4% | 14 Jan → | ||
| 13–11 | -0.06 | 9% | 11 Jan → | ||
| 13–8 | -0.03 | 9% | 11 Jan → | ||
| 3–13 | -0.05 | 8% | 11 Jan → | ||
| 16–13 | 0.10 | 14% | 11 Jan → | ||
| 13–5 | -0.03 | 8% | 11 Jan → | ||
| 13–8 | -0.03 | 8% | 10 Jan → | ||
| 4–13 | -0.02 | 9% | 10 Jan → | ||
| 2–13 | -0.06 | 9% | 10 Jan → | ||
| 6–13 | -0.05 | 23% | 10 Jan → | ||
| 1–13 | -0.03 | 19% | 9 Jan → | ||
| 3–13 | -0.07 | 7% | 9 Jan → | ||
| 4–13 | 0.04 | 3% | 8 Jan → | ||
| 16–14 | -0.01 | 11% | 8 Jan → | ||
| 10–13 | 0.01 | 14% | 6 Jan → | ||
| 2–13 | -0.04 | 11% | 6 Jan → | ||
| 5–13 | -0.01 | 17% | 6 Jan → | ||
| 13–4 | -0.04 | 2% | 6 Jan → | ||
| 13–3 | -0.02 | 6% | 30 Dec → | ||
| 6–13 | -0.07 | 15% | 30 Dec → | ||
| 12–12 | -0.05 | 15% | 30 Dec → | ||
| 5–13 | -0.03 | 18% | 27 Dec → | ||
| 5–0 | 0.07 | 21% | 27 Dec → | ||
| 4–0 | 0.00 | 0% | 27 Dec → | ||
| 8–13 | -0.05 | 16% | 12 Dec → | ||
| 13–7 | 0.01 | 20% | 6 Dec → | ||
| 4–13 | -0.07 | 7% | 6 Dec → | ||
| 13–8 | 0.02 | 10% | 5 Dec → | ||
| 13–1 | 0.04 | 18% | 26 Nov → | ||
| assembly | 2–9 | -0.23 | 0% | 5 Nov → | |
| 13–3 | -0.00 | 13% | 5 Nov → |
Match data via Leetify.