Evil Neegy — CS2 Stats
76561198715864559[U:1:755598831]Steam profile ↗
Rating over time
Premier CS Rating
- At peak — 16,081
- Next: Pink band at 20,000 — 3,919 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 50.5% | 48.1% | above |
| Shot accuracy | 0.0% | 12.9% | 12.9% short |
| Kill/death ratio | 1.24 | 1.08 | above |
| Match win rate | 49.3% | 46.5% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective 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 sh1ro 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Reaction time. 589ms 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 6.6/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 16–9 | 64% | 0.06 | |
| A | 16 | 10–6 | 63% | 0.07 | |
| C | 12 | 5–7 | 42% | 0.07 | |
| C | 12 | 5–7 | 42% | 0.06 | |
| S | 11 | 9–2 | 82% | 0.07 | |
| A | 11 | 7–4 | 64% | 0.06 | |
| S | 6 | 5–1 | 83% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.08 | |
| — | 2 | 2–0 | 100% | 0.09 | |
| office | — | 2 | 1–1 | 50% | 0.17 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). 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.
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.08 | 20% | 28 Aug → | ||
| 5–9 | 0.13 | 14% | 28 Aug → | ||
| 13–6 | 0.15 | 23% | 28 Aug → | ||
| 13–10 | 0.04 | 26% | 25 Aug → | ||
| 13–6 | 0.08 | 26% | 25 Aug → | ||
| 13–9 | 0.05 | 8% | 25 Aug → | ||
| 13–11 | 0.16 | 13% | 23 Aug → | ||
| 13–11 | 0.06 | 20% | 23 Aug → | ||
| 13–10 | 0.15 | 14% | 23 Aug → | ||
| 6–13 | 0.03 | 15% | 18 Aug → | ||
| 14–16 | 0.05 | 17% | 11 Aug → | ||
| 11–13 | 0.06 | 22% | 11 Aug → | ||
| 13–8 | 0.07 | 15% | 10 Aug → | ||
| 4–13 | -0.02 | 19% | 10 Aug → | ||
| 8–13 | 0.04 | 11% | 10 Aug → | ||
| 13–10 | 0.07 | 20% | 10 Aug → | ||
| 9–13 | -0.02 | 17% | 10 Aug → | ||
| 8–8 | 0.09 | 24% | 10 Aug → | ||
| 13–6 | 0.05 | 25% | 9 Aug → | ||
| 9–13 | 0.06 | 10% | 9 Aug → | ||
| 13–9 | 0.04 | 18% | 9 Aug → | ||
| 13–6 | 0.11 | 14% | 9 Aug → | ||
| 8–13 | -0.06 | 20% | 7 Aug → | ||
| 7–13 | -0.03 | 26% | 7 Aug → | ||
| 2–13 | -0.04 | 24% | 7 Aug → | ||
| 13–8 | 0.03 | 20% | 7 Aug → | ||
| 8–13 | 0.03 | 13% | 7 Aug → | ||
| 8–13 | -0.06 | 21% | 6 Aug → | ||
| 13–9 | 0.11 | 23% | 6 Aug → | ||
| 13–11 | 0.05 | 16% | 4 Aug → | ||
| 13–5 | 0.06 | 12% | 2 Aug → | ||
| 13–10 | 0.01 | 19% | 31 Jul → | ||
| 13–11 | 0.08 | 12% | 31 Jul → | ||
| 13–6 | 0.18 | 25% | 31 Jul → | ||
| 13–10 | 0.02 | 11% | 31 Jul → | ||
| 9–13 | -0.07 | 7% | 30 Jul → | ||
| 13–6 | 0.09 | 21% | 30 Jul → | ||
| 13–11 | 0.06 | 17% | 30 Jul → | ||
| 13–11 | 0.03 | 14% | 28 Jul → | ||
| 16–13 | 0.03 | 15% | 28 Jul → | ||
| 9–13 | 0.01 | 16% | 28 Jul → | ||
| 9–13 | 0.01 | 18% | 28 Jul → | ||
| 13–9 | 0.10 | 20% | 27 Jul → | ||
| 11–13 | 0.03 | 13% | 27 Jul → | ||
| 16–12 | 0.03 | 16% | 27 Jul → | ||
| 13–16 | 0.04 | 11% | 26 Jul → | ||
| 10–13 | 0.12 | 19% | 24 Jul → | ||
| 13–3 | 0.05 | 26% | 24 Jul → | ||
| 13–7 | 0.10 | 21% | 24 Jul → | ||
| 8–13 | 0.10 | 20% | 24 Jul → | ||
| 13–2 | 0.08 | 15% | 24 Jul → | ||
| 13–0 | 0.05 | 30% | 24 Jul → | ||
| 13–3 | 0.12 | 22% | 24 Jul → | ||
| 14–16 | 0.02 | 13% | 24 Jul → | ||
| 10–13 | -0.01 | 27% | 23 Jul → | ||
| 15–15 | 0.04 | 9% | 23 Jul → | ||
| 13–5 | 0.10 | 30% | 23 Jul → | ||
| 9–7 | 0.19 | 24% | 23 Jul → | ||
| 14–16 | 0.06 | 21% | 22 Jul → | ||
| 9–13 | 0.04 | 16% | 22 Jul → | ||
| 13–5 | 0.06 | 15% | 22 Jul → | ||
| 13–8 | 0.14 | 16% | 22 Jul → | ||
| 13–11 | 0.14 | 21% | 20 Jul → | ||
| 9–7 | -0.02 | 15% | 20 Jul → | ||
| 13–11 | 0.09 | 25% | 20 Jul → | ||
| 13–9 | 0.13 | 11% | 17 Jul → | ||
| 10–13 | 0.03 | 20% | 17 Jul → | ||
| 12–16 | 0.10 | 23% | 17 Jul → | ||
| 8–13 | 0.06 | 18% | 17 Jul → | ||
| 9–3 | 0.20 | 26% | 17 Jul → | ||
| 13–6 | 0.04 | 23% | 16 Jul → | ||
| 9–13 | -0.00 | 11% | 16 Jul → | ||
| 9–13 | -0.01 | 31% | 16 Jul → | ||
| 13–10 | 0.11 | 16% | 16 Jul → | ||
| 5–1 | 0.24 | 22% | 16 Jul → | ||
| 2–13 | 0.02 | 28% | 15 Jul → | ||
| 13–7 | 0.01 | 25% | 15 Jul → | ||
| 6–13 | 0.03 | 20% | 15 Jul → | ||
| 13–9 | 0.13 | 24% | 15 Jul → | ||
| 13–1 | 0.11 | 26% | 15 Jul → | ||
| 13–5 | 0.09 | 20% | 15 Jul → | ||
| 8–13 | 0.01 | 21% | 15 Jul → | ||
| 13–5 | 0.08 | 26% | 15 Jul → | ||
| 13–8 | 0.03 | 21% | 15 Jul → | ||
| 9–3 | 0.20 | 25% | 8 Jul → | ||
| office | 12–12 | 0.21 | 28% | 8 Jul → | |
| office | 13–1 | 0.12 | 17% | 8 Jul → | |
| 13–8 | 0.04 | 21% | 24 Jun → | ||
| 13–2 | 0.12 | 22% | 24 Jun → | ||
| 13–10 | 0.04 | 18% | 18 Jun → | ||
| 13–7 | -0.04 | 29% | 10 Jun → | ||
| 16–13 | 0.09 | 16% | 10 Jun → | ||
| 13–5 | 0.03 | 23% | 5 Jun → | ||
| 11–13 | 0.07 | 21% | 30 May → | ||
| 11–13 | 0.11 | 21% | 30 May → | ||
| 5–0 | 0.02 | 20% | 30 May → | ||
| 13–6 | 0.09 | 25% | 27 May → | ||
| 7–0 | 0.07 | 18% | 27 May → | ||
| 13–9 | 0.13 | 23% | 27 May → | ||
| 13–6 | 0.23 | 35% | 27 May → |
Match data via Leetify.