dRuNkeN*MoNk_36 — CS2 Stats
76561197960878334[U:1:612606]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +60pp win rate · +0.03 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Strong CT-side openerEffective 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 NiKo 77% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 40% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 650ms 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 4.8/10 (Developing), 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 | 29 | 15–14 | 52% | -0.01 | |
| A | 16 | 9–7 | 56% | -0.02 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| C | 15 | 6–9 | 40% | -0.04 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| D | 9 | 1–8 | 11% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 82 | 51% | 0.94 | 12.8 |
| Ancient | 51 | 59% | 0.97 | 12.6 |
| Nuke | 44 | 45% | 0.87 | 12.8 |
| Inferno | 41 | 54% | 0.90 | 13.8 |
| Dust2 | 26 | 35% | 0.78 | 10.6 |
| Vertigo | 10 | 50% | 0.98 | 14.0 |
| Anubis | 8 | 50% | 0.94 | 13.4 |
| Overpass | 5 | 40% | 0.99 | 14.8 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.1185° — above the 12° mark we flag
- 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 12.8608% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.04 | 13% | 29 Aug → | ||
| 13–5 | 0.01 | 15% | 29 Aug → | ||
| 13–5 | 0.04 | 11% | 27 Aug → | ||
| 13–2 | -0.01 | 16% | 27 Aug → | ||
| 9–1 | 0.03 | 17% | 27 Aug → | ||
| 10–13 | -0.02 | 6% | 26 Aug → | ||
| 13–7 | -0.07 | 16% | 25 Aug → | ||
| 13–8 | 0.02 | 9% | 25 Aug → | ||
| 4–0 | 0.02 | 100% | 25 Aug → | ||
| 13–2 | -0.06 | 27% | 25 Aug → | ||
| 13–9 | -0.03 | 9% | 24 Aug → | ||
| 4–13 | -0.01 | 18% | 23 Aug → | ||
| 12–12 | 0.02 | 8% | 22 Aug → | ||
| 13–2 | 0.06 | 15% | 21 Aug → | ||
| 11–13 | -0.05 | 9% | 21 Aug → | ||
| 8–13 | -0.05 | 0% | 20 Aug → | ||
| 7–13 | -0.05 | 17% | 20 Aug → | ||
| 5–13 | -0.03 | 12% | 20 Aug → | ||
| 10–13 | -0.06 | 14% | 18 Aug → | ||
| 2–13 | -0.05 | 7% | 18 Aug → | ||
| 13–2 | 0.17 | 18% | 15 Aug → | ||
| 16–14 | -0.04 | 14% | 15 Aug → | ||
| 13–4 | 0.13 | 15% | 14 Aug → | ||
| 12–12 | -0.03 | 9% | 14 Aug → | ||
| 5–13 | -0.04 | 5% | 14 Aug → | ||
| 13–5 | -0.00 | 7% | 14 Aug → | ||
| 13–10 | -0.01 | 18% | 13 Aug → | ||
| 13–9 | 0.02 | 15% | 13 Aug → | ||
| 8–13 | 0.02 | 11% | 13 Aug → | ||
| 13–8 | 0.01 | 14% | 13 Aug → | ||
| 13–8 | 0.02 | 23% | 13 Aug → | ||
| 13–11 | 0.01 | 19% | 13 Aug → | ||
| 4–13 | -0.01 | 13% | 12 Aug → | ||
| 6–13 | -0.06 | 7% | 12 Aug → | ||
| 13–4 | 0.03 | 11% | 11 Aug → | ||
| 13–10 | 0.02 | 4% | 11 Aug → | ||
| 13–11 | -0.01 | 32% | 11 Aug → | ||
| 1–7 | -0.03 | 13% | 11 Aug → | ||
| 10–13 | -0.06 | 3% | 11 Aug → | ||
| 13–11 | -0.01 | 11% | 10 Aug → | ||
| 6–13 | -0.05 | 10% | 10 Aug → | ||
| 13–11 | 0.00 | 11% | 10 Aug → | ||
| 10–13 | -0.01 | 5% | 10 Aug → | ||
| 6–13 | -0.11 | 7% | 10 Aug → | ||
| 5–13 | 0.02 | 12% | 10 Aug → | ||
| 13–6 | 0.01 | 17% | 9 Aug → | ||
| 16–13 | -0.02 | 14% | 9 Aug → | ||
| 13–0 | 0.05 | 10% | 9 Aug → | ||
| 13–10 | 0.02 | 11% | 9 Aug → | ||
| 10–13 | -0.05 | 22% | 8 Aug → | ||
| 10–13 | 0.01 | 9% | 8 Aug → | ||
| 13–4 | 0.06 | 7% | 6 Aug → | ||
| 13–6 | -0.01 | 15% | 6 Aug → | ||
| 12–12 | -0.05 | 25% | 5 Aug → | ||
| 4–13 | -0.10 | 7% | 5 Aug → | ||
| 7–13 | -0.03 | 30% | 4 Aug → | ||
| 13–5 | 0.15 | 10% | 4 Aug → | ||
| 13–11 | -0.06 | 11% | 4 Aug → | ||
| 13–5 | -0.03 | 30% | 4 Aug → | ||
| 5–13 | -0.08 | 7% | 4 Aug → | ||
| 8–13 | -0.07 | 7% | 4 Aug → | ||
| 9–1 | 0.18 | 12% | 3 Aug → | ||
| 9–5 | 0.10 | 15% | 3 Aug → | ||
| 1–9 | -0.24 | 0% | 3 Aug → | ||
| 11–13 | 0.01 | 12% | 3 Aug → | ||
| 3–3 | -0.14 | 0% | 3 Aug → | ||
| 13–6 | 0.10 | 19% | 3 Aug → | ||
| 13–10 | -0.07 | 26% | 3 Aug → | ||
| 13–9 | 0.03 | 19% | 1 Aug → | ||
| 13–9 | -0.04 | 3% | 31 Jul → | ||
| 13–10 | -0.03 | 20% | 31 Jul → | ||
| 11–13 | -0.06 | 12% | 31 Jul → | ||
| 13–6 | -0.01 | 11% | 31 Jul → | ||
| 13–7 | -0.09 | 10% | 30 Jul → | ||
| 13–5 | 0.01 | 0% | 29 Jul → | ||
| 10–13 | 0.04 | 10% | 27 Jul → | ||
| 5–13 | -0.07 | 12% | 26 Jul → | ||
| 2–13 | -0.07 | 24% | 26 Jul → | ||
| 7–9 | 0.07 | 5% | 26 Jul → | ||
| 6–13 | -0.02 | 17% | 26 Jul → | ||
| 13–3 | 0.03 | 15% | 26 Jul → | ||
| 13–11 | 0.03 | 13% | 25 Jul → | ||
| 13–10 | -0.02 | 13% | 25 Jul → | ||
| 8–13 | 0.04 | 16% | 24 Jul → | ||
| 13–11 | 0.06 | 19% | 22 Jul → | ||
| 12–12 | -0.07 | 33% | 22 Jul → | ||
| 12–12 | 0.01 | 12% | 21 Jul → | ||
| 8–13 | -0.00 | 23% | 19 Jul → | ||
| 4–13 | -0.09 | 0% | 19 Jul → | ||
| 10–13 | -0.05 | 13% | 19 Jul → | ||
| 7–13 | -0.04 | 9% | 19 Jul → | ||
| 11–13 | -0.03 | 13% | 18 Jul → | ||
| 5–13 | 0.00 | 19% | 18 Jul → | ||
| 2–13 | -0.03 | 11% | 18 Jul → | ||
| 4–13 | -0.04 | 9% | 16 Jul → | ||
| 9–13 | -0.03 | 17% | 16 Jul → | ||
| 13–4 | 0.07 | 4% | 16 Jul → | ||
| 7–13 | -0.03 | 17% | 16 Jul → | ||
| 8–8 | -0.05 | 5% | 15 Jul → | ||
| 9–13 | -0.01 | 6% | 15 Jul → |
Match data via Leetify.