Weed Batman — CS2 Stats
76561199155471562[U:1:1195205834]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 NiKo 79% 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
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.
Reaction time. 604ms 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 4.7/10 (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 52 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 | 17 | 8–9 | 47% | -0.00 | |
| A | 16 | 10–6 | 63% | 0.00 | |
| office | B | 6 | 3–3 | 50% | -0.04 |
| — | 4 | 3–1 | 75% | 0.00 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| — | 1 | 0–1 | 0% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 52 tracked matches.
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.
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 — 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 31.4528% — 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.
47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.08 | 16% | 24 Aug → | ||
| 13–3 | 0.07 | 29% | 24 Aug → | ||
| 8–13 | -0.05 | 11% | 23 Aug → | ||
| 4–13 | -0.03 | 25% | 23 Aug → | ||
| 13–6 | 0.02 | 14% | 23 Aug → | ||
| 8–13 | -0.05 | 24% | 21 Aug → | ||
| 9–0 | -0.00 | 43% | 12 Aug → | ||
| 2–13 | -0.12 | 40% | 12 Aug → | ||
| 5–13 | 0.02 | 33% | 12 Aug → | ||
| 11–13 | 0.03 | 18% | 10 Aug → | ||
| 5–13 | -0.04 | 27% | 10 Aug → | ||
| 13–11 | -0.00 | 17% | 9 Aug → | ||
| 4–13 | -0.10 | 67% | 8 Aug → | ||
| office | 4–11 | -0.08 | 20% | 12 Jul → | |
| 9–13 | 0.00 | 10% | 12 Jul → | ||
| office | 0–5 | -0.15 | 33% | 14 May → | |
| office | 13–8 | -0.00 | 30% | 13 May → | |
| 13–4 | -0.01 | 22% | 13 May → | ||
| 13–2 | 0.06 | 25% | 12 May → | ||
| 5–9 | 0.07 | 21% | 12 May → | ||
| 8–3 | 0.10 | 40% | 12 May → | ||
| 8–13 | -0.07 | 24% | 11 May → | ||
| 9–13 | -0.00 | 37% | 11 May → | ||
| 0–13 | -0.09 | 27% | 11 May → | ||
| office | 13–1 | -0.02 | 22% | 11 May → | |
| 12–12 | 0.00 | 43% | 11 May → | ||
| 13–6 | 0.02 | 23% | 10 May → | ||
| 13–8 | 0.00 | 31% | 10 May → | ||
| 13–5 | -0.03 | 41% | 10 May → | ||
| 1–13 | -0.02 | 38% | 10 May → | ||
| 8–9 | -0.03 | 21% | 10 May → | ||
| 13–1 | 0.04 | 32% | 10 May → | ||
| 13–9 | -0.03 | 25% | 10 May → | ||
| 13–5 | 0.08 | 37% | 8 May → | ||
| 13–11 | 0.03 | 43% | 8 May → | ||
| 7–13 | -0.07 | 12% | 6 May → | ||
| 0–4 | -0.07 | 0% | 6 May → | ||
| 2–10 | -0.01 | 50% | 6 May → | ||
| 13–8 | 0.01 | 19% | 6 May → | ||
| 13–1 | 0.06 | 32% | 5 May → | ||
| 9–13 | -0.02 | 20% | 4 May → | ||
| office | 13–4 | 0.07 | 19% | 4 May → | |
| 13–11 | 0.06 | 20% | 4 May → | ||
| 13–3 | 0.12 | 35% | 4 May → | ||
| 4–13 | -0.03 | 25% | 3 May → | ||
| 9–13 | 0.00 | 19% | 3 May → | ||
| 13–1 | 0.19 | 21% | 3 May → | ||
| 13–2 | 0.01 | 30% | 2 May → | ||
| 13–7 | 0.02 | 13% | 30 Apr → | ||
| 11–13 | 0.04 | 18% | 30 Apr → | ||
| 13–9 | 0.04 | 22% | 4 Apr → | ||
| office | 7–13 | -0.04 | 20% | 4 Apr → |
Match data via Leetify.