EvilGuy13 — CS2 Stats
76561198040300100[U:1:80034372]Steam profile ↗✓ No bans
Rating over time
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 Level 4 among CSDB-tracked players (n=928), 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 | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 59.3% | 42.5% | 44.2% | above |
| Shot accuracy | 11.1% | 10.9% | 11.2% | meets |
| Kill/death ratio | 1.49 | 0.99 | 1.04 | above |
| Match win rate | 41.0% | 44.2% | 45.3% | 4.3% short |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 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: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingReliable in 1v1s
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 93% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 86 — the mechanical foundation is a clear strength.
Areas to improve
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 6.7/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 13–12 | 52% | 0.03 | |
| B | 24 | 11–13 | 46% | 0.03 | |
| B | 23 | 12–11 | 52% | 0.06 | |
| C | 22 | 8–14 | 36% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 64% | 1.41 | 17.7 |
| Dust2 | 7 | 29% | 0.96 | 15.6 |
| Inferno | 5 | 40% | 1.35 | 18.2 |
| Cache | 3 | 67% | 1.30 | 21.7 |
| Nuke | 1 | 100% | 7.25 | 29.0 |
| Anubis | 1 | 100% | 1.40 | 21.0 |
| Ancient | 1 | 0% | 0.88 | 15.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.07 | 32% | 25 Aug → | ||
| 6–13 | 0.03 | 12% | 22 Aug → | ||
| 3–13 | -0.08 | 15% | 21 Aug → | ||
| 13–7 | 0.01 | 26% | 14 Aug → | ||
| 3–13 | -0.10 | 16% | 13 Aug → | ||
| 13–11 | 0.03 | 20% | 13 Aug → | ||
| 2–13 | -0.04 | 38% | 10 Aug → | ||
| 10–13 | -0.01 | 23% | 10 Aug → | ||
| 6–13 | -0.04 | 13% | 10 Aug → | ||
| 7–1 | 0.04 | 12% | 10 Aug → | ||
| 5–13 | -0.03 | 20% | 10 Aug → | ||
| 13–7 | 0.05 | 35% | 9 Aug → | ||
| 13–8 | 0.08 | 27% | 7 Aug → | ||
| 15–15 | 0.01 | 27% | 7 Aug → | ||
| 13–3 | 0.14 | 21% | 7 Aug → | ||
| 14–16 | 0.02 | 20% | 6 Aug → | ||
| 9–13 | 0.02 | 23% | 6 Aug → | ||
| 13–2 | -0.00 | 29% | 6 Aug → | ||
| 13–5 | 0.05 | 15% | 6 Aug → | ||
| 14–16 | 0.06 | 18% | 5 Aug → | ||
| 11–13 | 0.11 | 25% | 5 Aug → | ||
| 13–8 | 0.07 | 25% | 4 Aug → | ||
| 12–12 | 0.01 | 22% | 31 Jul → | ||
| 13–1 | 0.10 | 24% | 31 Jul → | ||
| 8–13 | 0.01 | 20% | 30 Jul → | ||
| 15–15 | 0.04 | 26% | 30 Jul → | ||
| 7–13 | -0.00 | 45% | 30 Jul → | ||
| 13–8 | 0.11 | 25% | 30 Jul → | ||
| 12–12 | 0.01 | 28% | 20 Jul → | ||
| 7–13 | 0.01 | 14% | 18 Jul → | ||
| 13–2 | 0.03 | 15% | 18 Jul → | ||
| 9–13 | 0.05 | 19% | 18 Jul → | ||
| 13–2 | 0.17 | 50% | 17 Jul → | ||
| 13–5 | 0.04 | 20% | 17 Jul → | ||
| 0–2 | 0.00 | 0% | 17 Jul → | ||
| 13–9 | 0.12 | 18% | 14 Jul → | ||
| 13–11 | 0.09 | 14% | 14 Jul → | ||
| 7–13 | 0.18 | 15% | 13 Jul → | ||
| 8–13 | 0.13 | 20% | 12 Jul → | ||
| 7–13 | -0.03 | 11% | 11 Jul → | ||
| 13–3 | 0.12 | 26% | 11 Jul → | ||
| 8–13 | 0.03 | 32% | 11 Jul → | ||
| 8–13 | 0.05 | 25% | 10 Jul → | ||
| 13–10 | 0.10 | 36% | 10 Jul → | ||
| 13–6 | 0.03 | 21% | 10 Jul → | ||
| 10–13 | 0.04 | 24% | 9 Jul → | ||
| 12–12 | 0.05 | 27% | 5 Jul → | ||
| 11–13 | -0.01 | 18% | 5 Jul → | ||
| 13–7 | 0.06 | 26% | 30 Jun → | ||
| 13–8 | 0.06 | 21% | 29 Jun → | ||
| 13–9 | 0.00 | 28% | 25 Jun → | ||
| 12–12 | -0.03 | 36% | 24 Jun → | ||
| 8–13 | -0.06 | 15% | 24 Jun → | ||
| 10–13 | 0.01 | 11% | 21 Jun → | ||
| 13–5 | 0.03 | 16% | 21 Jun → | ||
| 10–13 | -0.03 | 20% | 21 Jun → | ||
| 5–13 | -0.04 | 19% | 17 Jun → | ||
| 13–2 | 0.05 | 19% | 17 Jun → | ||
| 12–12 | 0.04 | 15% | 16 Jun → | ||
| 9–13 | 0.03 | 27% | 15 Jun → | ||
| 13–6 | 0.02 | 27% | 15 Jun → | ||
| 13–6 | 0.11 | 23% | 14 Jun → | ||
| 5–13 | -0.03 | 21% | 14 Jun → | ||
| 12–12 | 0.06 | 24% | 12 Jun → | ||
| 13–4 | 0.03 | 28% | 12 Jun → | ||
| 12–12 | 0.10 | 19% | 9 Jun → | ||
| 9–13 | 0.02 | 25% | 8 Jun → | ||
| 8–13 | 0.03 | 25% | 5 Jun → | ||
| 13–3 | 0.10 | 34% | 5 Jun → | ||
| 13–3 | 0.13 | 34% | 5 Jun → | ||
| 11–13 | 0.12 | 26% | 5 Jun → | ||
| 13–7 | 0.04 | 24% | 1 Jun → | ||
| 12–12 | 0.02 | 27% | 1 Jun → | ||
| 13–11 | 0.11 | 22% | 30 May → | ||
| 13–10 | 0.11 | 32% | 30 May → | ||
| 13–11 | 0.06 | 31% | 30 May → | ||
| 12–12 | 0.03 | 14% | 28 May → | ||
| 13–7 | -0.02 | 30% | 27 May → | ||
| 13–10 | 0.08 | 22% | 27 May → | ||
| 13–8 | 0.06 | 31% | 27 May → | ||
| 13–2 | 0.02 | 7% | 22 May → | ||
| 13–1 | 0.03 | 21% | 22 May → | ||
| 11–13 | 0.03 | 26% | 22 May → | ||
| 8–13 | 0.09 | 21% | 21 May → | ||
| 1–13 | -0.05 | 11% | 21 May → | ||
| 7–13 | 0.04 | 22% | 21 May → | ||
| 4–13 | 0.11 | 16% | 20 May → | ||
| 13–4 | 0.05 | 24% | 20 May → | ||
| 5–13 | -0.01 | 35% | 19 May → | ||
| 5–13 | -0.05 | 21% | 19 May → | ||
| 13–8 | 0.11 | 23% | 19 May → | ||
| 13–1 | 0.05 | 16% | 19 May → | ||
| 13–11 | 0.02 | 31% | 18 May → | ||
| 13–7 | 0.05 | 31% | 18 May → | ||
| 12–12 | 0.10 | 17% | 15 May → | ||
| 12–12 | 0.01 | 22% | 8 May → | ||
| 1–13 | 0.01 | 17% | 8 May → | ||
| 7–13 | 0.02 | 27% | 8 May → | ||
| 12–12 | 0.09 | 24% | 7 May → | ||
| 13–1 | 0.08 | 16% | 7 May → |
Match data via Leetify.
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