Earl Sweatshop — CS2 Stats
US76561198023018785[U:1:62753057]Steam profile ↗
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 | 33.5% | 42.5% | 44.2% | 10.6% short |
| Shot accuracy | 20.8% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.95 | 0.99 | 1.04 | 0.09 short |
| Match win rate | 42.4% | 44.2% | 45.3% | 2.9% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Headshot 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 · +0.00 avg rating
Player DNA
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 84% playstyle similarity
Most alike: opening-duel success, 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
Reaction time. 611ms 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 | 26 | 13–13 | 50% | -0.02 | |
| A | 21 | 12–9 | 57% | -0.03 | |
| A | 14 | 8–6 | 57% | -0.06 | |
| C | 9 | 4–5 | 44% | -0.04 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| A | 7 | 4–3 | 57% | -0.03 | |
| A | 7 | 4–3 | 57% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| office | — | 2 | 1–1 | 50% | -0.10 |
| — | 1 | 0–1 | 0% | 0.00 | |
| — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (44% over 9). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 50% | 1.88 | 12.0 |
| Mirage | 1 | 100% | 0.77 | 10.0 |
| Anubis | 1 | 100% | 0.75 | 9.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 13.5694% — below the 15% 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 33.3078% — 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.
44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.05 | 20% | 25 Aug → | ||
| 13–11 | 0.02 | 7% | 24 Aug → | ||
| 13–5 | -0.05 | 11% | 24 Aug → | ||
| 8–13 | 0.01 | 26% | 23 Aug → | ||
| 6–13 | -0.06 | 21% | 23 Aug → | ||
| 16–13 | -0.02 | 6% | 23 Aug → | ||
| 13–11 | 0.04 | 11% | 22 Aug → | ||
| 16–12 | -0.03 | 7% | 22 Aug → | ||
| 5–13 | -0.07 | 19% | 20 Aug → | ||
| 7–13 | -0.10 | 11% | 19 Aug → | ||
| 8–13 | -0.04 | 15% | 19 Aug → | ||
| 13–10 | 0.02 | 13% | 17 Aug → | ||
| 13–5 | -0.05 | 3% | 17 Aug → | ||
| 13–10 | -0.11 | 13% | 16 Aug → | ||
| 6–13 | -0.02 | 12% | 16 Aug → | ||
| 16–13 | -0.04 | 15% | 15 Aug → | ||
| 16–14 | 0.03 | 14% | 14 Aug → | ||
| 8–13 | -0.09 | 18% | 14 Aug → | ||
| 13–2 | 0.04 | 9% | 14 Aug → | ||
| 8–13 | -0.04 | 18% | 14 Aug → | ||
| 13–9 | -0.04 | 10% | 13 Aug → | ||
| 13–4 | -0.02 | 16% | 13 Aug → | ||
| 13–11 | 0.01 | 19% | 12 Aug → | ||
| 13–1 | 0.01 | 24% | 12 Aug → | ||
| 13–11 | 0.01 | 17% | 12 Aug → | ||
| 13–3 | -0.03 | 15% | 5 Aug → | ||
| 13–3 | -0.01 | 8% | 5 Aug → | ||
| 13–8 | -0.03 | 13% | 5 Aug → | ||
| 14–16 | 0.03 | 12% | 4 Aug → | ||
| 16–14 | 0.02 | 13% | 3 Aug → | ||
| 13–5 | 0.05 | 17% | 3 Aug → | ||
| 13–7 | -0.01 | 11% | 1 Aug → | ||
| 3–13 | -0.11 | 8% | 1 Aug → | ||
| 6–13 | 0.04 | 20% | 1 Aug → | ||
| 1–13 | -0.15 | 11% | 1 Aug → | ||
| 13–4 | -0.07 | 9% | 1 Aug → | ||
| 4–13 | -0.08 | 3% | 30 Jul → | ||
| 13–11 | 0.02 | 9% | 30 Jul → | ||
| 13–8 | -0.09 | 9% | 28 Jul → | ||
| 7–13 | -0.01 | 17% | 28 Jul → | ||
| 7–13 | -0.03 | 13% | 25 Jul → | ||
| 13–2 | 0.04 | 7% | 25 Jul → | ||
| 13–11 | 0.08 | 9% | 22 Jul → | ||
| 13–5 | 0.03 | 6% | 22 Jul → | ||
| 13–11 | -0.05 | 9% | 18 Jul → | ||
| 8–13 | -0.05 | 7% | 18 Jul → | ||
| 7–13 | -0.11 | 10% | 12 Jul → | ||
| 13–3 | 0.07 | 13% | 11 Jul → | ||
| 11–13 | -0.03 | 12% | 31 May → | ||
| 11–13 | -0.01 | 16% | 30 May → | ||
| 13–9 | -0.00 | 19% | 30 May → | ||
| 13–8 | 0.07 | 5% | 30 May → | ||
| 13–2 | -0.03 | 10% | 28 May → | ||
| 13–4 | 0.02 | 21% | 28 May → | ||
| 13–8 | -0.03 | 15% | 21 May → | ||
| 11–13 | -0.10 | 10% | 21 May → | ||
| 10–13 | -0.06 | 17% | 12 May → | ||
| 5–13 | -0.07 | 10% | 12 May → | ||
| 2–9 | -0.07 | 33% | 15 Apr → | ||
| 4–13 | -0.06 | 11% | 11 Apr → | ||
| 8–13 | 0.00 | 13% | 10 Apr → | ||
| 6–13 | -0.09 | 5% | 10 Apr → | ||
| 13–11 | -0.07 | 11% | 10 Apr → | ||
| 13–8 | -0.04 | 8% | 9 Apr → | ||
| 13–8 | -0.03 | 7% | 9 Apr → | ||
| 11–13 | -0.04 | 10% | 9 Apr → | ||
| 5–13 | -0.04 | 3% | 7 Apr → | ||
| 13–10 | -0.05 | 9% | 6 Apr → | ||
| 11–13 | -0.03 | 6% | 6 Apr → | ||
| 13–4 | 0.02 | 10% | 6 Apr → | ||
| 6–13 | -0.03 | 12% | 6 Apr → | ||
| 16–14 | -0.09 | 12% | 5 Apr → | ||
| 4–13 | -0.01 | 5% | 4 Apr → | ||
| 13–9 | -0.03 | 9% | 4 Apr → | ||
| 10–13 | -0.09 | 15% | 4 Apr → | ||
| 13–7 | 0.01 | 17% | 3 Apr → | ||
| 13–9 | -0.01 | 10% | 3 Apr → | ||
| 7–13 | -0.02 | 11% | 3 Apr → | ||
| 6–13 | -0.09 | 13% | 2 Apr → | ||
| 6–13 | 0.06 | 17% | 27 Mar → | ||
| 6–13 | 0.00 | 12% | 5 Oct → | ||
| 0–13 | -0.09 | 10% | 5 Oct → | ||
| 7–13 | -0.10 | 3% | 5 Oct → | ||
| 13–9 | -0.06 | 5% | 5 Oct → | ||
| 8–0 | 0.08 | 7% | 5 Oct → | ||
| 13–5 | 0.07 | 24% | 5 Oct → | ||
| 13–6 | -0.01 | 18% | 5 Oct → | ||
| 13–2 | -0.00 | 9% | 5 Oct → | ||
| office | 13–9 | -0.07 | 11% | 5 Oct → | |
| 0–13 | -0.07 | 12% | 5 Oct → | ||
| 7–13 | -0.08 | 10% | 4 Oct → | ||
| 2–13 | -0.04 | 3% | 4 Oct → | ||
| 4–13 | -0.12 | 10% | 4 Oct → | ||
| office | 6–13 | -0.13 | 4% | 3 Apr → | |
| 8–13 | -0.06 | 10% | 26 Mar → | ||
| 10–13 | -0.05 | 7% | 9 Mar → | ||
| 13–6 | -0.04 | 10% | 9 Mar → | ||
| 13–10 | -0.06 | 9% | 4 Mar → | ||
| 13–10 | -0.05 | 14% | 28 Feb → | ||
| 2–13 | -0.12 | 22% | 28 Feb → |
Match data via Leetify.