more.beer — CS2 Stats
76561198103382326[U:1:143116598]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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 91% playstyle similarity
Most alike: positioning profile, aim profile.
Where you differ: 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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 31 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.
T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 |
|---|---|---|---|---|---|
| D | 16 | 5–11 | 31% | 0.01 | |
| D | 11 | 2–9 | 18% | 0.03 | |
| A | 11 | 6–5 | 55% | 0.04 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| office | S | 7 | 6–1 | 86% | 0.01 |
| B | 6 | 3–3 | 50% | 0.05 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| D | 5 | 1–4 | 20% | -0.00 | |
| shelter | — | 3 | 1–2 | 33% | 0.07 |
| debris | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 30 | 53% | 1.06 | 13.7 |
| Ancient | 27 | 52% | 0.92 | 13.9 |
| Dust2 | 23 | 48% | 0.99 | 15.7 |
| Anubis | 20 | 50% | 1.23 | 15.9 |
| Vertigo | 12 | 67% | 1.14 | 14.9 |
| Nuke | 11 | 73% | 1.19 | 14.4 |
| Mirage | 9 | 67% | 1.63 | 19.3 |
| Train | 7 | 71% | 1.16 | 16.6 |
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 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 37.037% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | -0.05 | 14% | 27 Aug → | ||
| 4–6 | -0.02 | 0% | 27 Aug → | ||
| 4–13 | -0.00 | 21% | 27 Aug → | ||
| 10–13 | 0.09 | 14% | 26 Aug → | ||
| 13–7 | 0.01 | 9% | 26 Aug → | ||
| 3–13 | 0.12 | 38% | 26 Aug → | ||
| 13–7 | -0.02 | 5% | 25 Aug → | ||
| 9–5 | 0.08 | 10% | 24 Aug → | ||
| 9–13 | -0.02 | 24% | 23 Aug → | ||
| 5–2 | 0.16 | 33% | 23 Aug → | ||
| 11–13 | 0.04 | 17% | 23 Aug → | ||
| office | 13–11 | 0.09 | 14% | 23 Aug → | |
| 12–12 | 0.07 | 18% | 23 Aug → | ||
| 4–13 | -0.00 | 10% | 23 Aug → | ||
| 4–13 | 0.02 | 20% | 23 Aug → | ||
| 2–13 | 0.09 | 16% | 23 Aug → | ||
| 13–8 | 0.08 | 15% | 23 Aug → | ||
| 13–7 | 0.14 | 27% | 23 Aug → | ||
| 6–7 | 0.13 | 31% | 23 Aug → | ||
| shelter | 10–13 | 0.03 | 6% | 23 Aug → | |
| 13–6 | 0.01 | 13% | 23 Aug → | ||
| 7–13 | 0.04 | 19% | 22 Aug → | ||
| 13–6 | -0.05 | 9% | 22 Aug → | ||
| 6–13 | 0.03 | 11% | 22 Aug → | ||
| 8–13 | 0.01 | 13% | 22 Aug → | ||
| 2–6 | 0.00 | 9% | 21 Aug → | ||
| 13–5 | 0.04 | 25% | 21 Aug → | ||
| debris | 9–5 | 0.11 | 19% | 21 Aug → | |
| 8–13 | 0.01 | 5% | 21 Aug → | ||
| 9–13 | 0.07 | 22% | 21 Aug → | ||
| office | 13–4 | -0.04 | 13% | 21 Aug → | |
| 13–10 | 0.03 | 10% | 21 Aug → | ||
| 7–13 | 0.03 | 16% | 21 Aug → | ||
| 12–12 | 0.02 | 14% | 21 Aug → | ||
| 13–7 | 0.03 | 18% | 21 Aug → | ||
| 7–13 | -0.05 | 7% | 21 Aug → | ||
| 0–7 | -0.04 | 17% | 21 Aug → | ||
| 3–13 | 0.01 | 15% | 21 Aug → | ||
| shelter | 13–2 | 0.14 | 20% | 20 Aug → | |
| office | 13–10 | 0.04 | 9% | 20 Aug → | |
| 7–13 | -0.07 | 14% | 20 Aug → | ||
| 4–13 | 0.02 | 13% | 20 Aug → | ||
| 13–6 | 0.12 | 13% | 19 Aug → | ||
| 11–2 | -0.03 | 12% | 18 Aug → | ||
| 10–13 | 0.01 | 16% | 18 Aug → | ||
| 9–13 | 0.06 | 11% | 18 Aug → | ||
| 8–13 | 0.08 | 16% | 18 Aug → | ||
| office | 13–4 | -0.01 | 13% | 16 Aug → | |
| 13–6 | -0.02 | 11% | 16 Aug → | ||
| 9–13 | 0.10 | 14% | 16 Aug → | ||
| 13–10 | 0.06 | 18% | 15 Aug → | ||
| 6–13 | -0.05 | 8% | 15 Aug → | ||
| 13–4 | 0.01 | 18% | 15 Aug → | ||
| shelter | 9–13 | 0.03 | 12% | 15 Aug → | |
| 3–13 | -0.03 | 23% | 15 Aug → | ||
| 11–13 | -0.02 | 19% | 15 Aug → | ||
| 5–3 | 0.08 | 22% | 15 Aug → | ||
| 12–12 | 0.15 | 13% | 15 Aug → | ||
| 13–11 | 0.06 | 17% | 15 Aug → | ||
| 12–12 | -0.02 | 15% | 15 Aug → | ||
| 13–8 | 0.06 | 13% | 14 Aug → | ||
| 7–13 | -0.04 | 10% | 14 Aug → | ||
| 13–9 | 0.00 | 17% | 14 Aug → | ||
| 10–13 | 0.04 | 11% | 14 Aug → | ||
| 4–13 | -0.01 | 35% | 14 Aug → | ||
| 13–3 | 0.07 | 11% | 13 Aug → | ||
| 13–3 | 0.12 | 12% | 13 Aug → | ||
| 9–13 | 0.09 | 33% | 13 Aug → | ||
| office | 13–8 | -0.05 | 18% | 13 Aug → | |
| 5–2 | -0.06 | 36% | 13 Aug → | ||
| 9–13 | 0.01 | 25% | 13 Aug → | ||
| 13–9 | 0.05 | 10% | 12 Aug → | ||
| 3–13 | -0.01 | 18% | 12 Aug → | ||
| office | 7–13 | -0.02 | 21% | 12 Aug → | |
| 5–13 | -0.07 | 3% | 12 Aug → | ||
| 13–6 | -0.05 | 5% | 11 Aug → | ||
| 0–6 | -0.06 | 0% | 11 Aug → | ||
| 6–13 | 0.08 | 19% | 11 Aug → | ||
| 13–7 | -0.00 | 21% | 11 Aug → | ||
| 4–3 | -0.03 | 24% | 11 Aug → | ||
| 6–13 | -0.05 | 16% | 7 Aug → | ||
| office | 13–4 | 0.06 | 17% | 6 Aug → | |
| 6–13 | -0.01 | 18% | 6 Aug → | ||
| 5–13 | -0.01 | 9% | 6 Aug → | ||
| 13–2 | 0.07 | 38% | 6 Aug → | ||
| 14–16 | -0.05 | 21% | 5 Aug → | ||
| 7–13 | -0.05 | 15% | 5 Aug → | ||
| 4–13 | -0.03 | 17% | 4 Aug → | ||
| 9–13 | -0.01 | 23% | 4 Aug → | ||
| 5–13 | -0.12 | 12% | 4 Aug → | ||
| 13–11 | 0.03 | 13% | 4 Aug → | ||
| 9–13 | 0.05 | 18% | 4 Aug → | ||
| 13–11 | -0.02 | 18% | 4 Aug → | ||
| 15–15 | 0.01 | 15% | 3 Aug → | ||
| 13–11 | 0.03 | 19% | 3 Aug → | ||
| 13–8 | 0.04 | 35% | 3 Aug → | ||
| 13–4 | 0.02 | 29% | 3 Aug → | ||
| 13–7 | 0.05 | 16% | 3 Aug → | ||
| 10–13 | -0.02 | 23% | 3 Aug → | ||
| 9–13 | -0.02 | 30% | 2 Aug → |
Match data via Leetify.