Sulfur Quarry Joe — CS2 Stats
76561198927169580[U:1:966903852]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 46.2% | 52.8% |
| Shot accuracy | 3.3% | 13.7% |
| Kill/death ratio | 1.05 | 1.08 |
| Match win rate | 46.3% | 49.2% |
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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-fight frequency, positioning 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 90 — the mechanical foundation is a clear strength.
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
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 66% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 7.2/10 (Strong), 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 | 35 | 19–16 | 54% | 0.01 | |
| S | 22 | 15–7 | 68% | 0.01 | |
| S | 20 | 14–6 | 70% | 0.00 | |
| C | 11 | 4–7 | 36% | -0.00 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| office | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1024 | 53% | 1.18 | 17.9 |
| Dust2 | 608 | 50% | 1.16 | 17.3 |
| Ancient | 399 | 48% | 1.10 | 16.8 |
| Anubis | 259 | 53% | 1.17 | 17.4 |
| Inferno | 246 | 46% | 1.14 | 16.6 |
| Nuke | 210 | 50% | 1.22 | 17.2 |
| Overpass | 79 | 46% | 1.07 | 17.3 |
| Train | 49 | 51% | 1.20 | 18.7 |
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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.03 | 18% | 27 Aug → | ||
| 13–9 | 0.00 | 14% | 27 Aug → | ||
| 4–13 | -0.05 | 21% | 25 Aug → | ||
| 13–4 | 0.03 | 22% | 25 Aug → | ||
| 13–7 | 0.04 | 19% | 25 Aug → | ||
| 14–16 | 0.02 | 16% | 24 Aug → | ||
| 13–8 | 0.07 | 17% | 24 Aug → | ||
| 13–10 | -0.01 | 3% | 21 Aug → | ||
| 13–6 | 0.06 | 11% | 21 Aug → | ||
| 8–13 | -0.02 | 23% | 20 Aug → | ||
| 1–13 | -0.03 | 18% | 18 Aug → | ||
| 8–13 | -0.03 | 16% | 17 Aug → | ||
| 11–13 | -0.00 | 24% | 15 Aug → | ||
| 6–13 | 0.05 | 13% | 13 Aug → | ||
| 11–13 | 0.05 | 26% | 12 Aug → | ||
| 16–13 | 0.02 | 24% | 12 Aug → | ||
| 16–13 | -0.00 | 21% | 11 Aug → | ||
| 13–11 | 0.00 | 21% | 11 Aug → | ||
| 13–5 | 0.04 | 14% | 11 Aug → | ||
| 13–7 | -0.02 | 25% | 10 Aug → | ||
| 13–10 | 0.12 | 22% | 10 Aug → | ||
| 12–16 | -0.05 | 21% | 8 Aug → | ||
| 13–5 | 0.11 | 31% | 8 Aug → | ||
| 10–13 | -0.02 | 25% | 8 Aug → | ||
| 5–13 | 0.03 | 23% | 7 Aug → | ||
| 13–11 | 0.05 | 25% | 7 Aug → | ||
| 11–13 | -0.01 | 16% | 7 Aug → | ||
| 15–15 | 0.04 | 22% | 6 Aug → | ||
| 13–2 | 0.17 | 25% | 6 Aug → | ||
| 7–13 | -0.01 | 21% | 5 Aug → | ||
| 13–7 | -0.02 | 12% | 1 Aug → | ||
| 13–7 | 0.02 | 20% | 1 Aug → | ||
| 11–13 | -0.02 | 21% | 1 Aug → | ||
| 13–10 | 0.04 | 20% | 31 Jul → | ||
| 8–13 | -0.07 | 13% | 30 Jul → | ||
| 13–5 | -0.01 | 5% | 29 Jul → | ||
| 13–6 | -0.02 | 26% | 29 Jul → | ||
| 18–22 | 0.02 | 20% | 26 Jul → | ||
| 11–13 | -0.01 | 10% | 25 Jul → | ||
| 13–6 | 0.09 | 28% | 25 Jul → | ||
| 8–13 | 0.02 | 27% | 23 Jul → | ||
| 13–8 | 0.07 | 10% | 23 Jul → | ||
| 4–13 | 0.00 | 21% | 21 Jul → | ||
| 9–13 | -0.00 | 12% | 16 Jul → | ||
| 13–10 | 0.02 | 24% | 15 Jul → | ||
| 13–10 | -0.01 | 16% | 15 Jul → | ||
| 8–13 | 0.01 | 30% | 13 Jul → | ||
| 13–2 | 0.01 | 23% | 13 Jul → | ||
| 10–13 | -0.11 | 9% | 13 Jul → | ||
| 19–16 | -0.01 | 9% | 13 Jul → | ||
| 13–6 | 0.22 | 16% | 13 Jul → | ||
| 8–13 | 0.04 | 23% | 12 Jul → | ||
| 6–13 | -0.05 | 23% | 10 Jul → | ||
| 13–7 | 0.03 | 16% | 9 Jul → | ||
| 13–10 | -0.02 | 7% | 9 Jul → | ||
| 13–9 | -0.03 | 18% | 7 Jul → | ||
| 9–13 | -0.01 | 15% | 7 Jul → | ||
| 13–4 | 0.02 | 14% | 6 Jul → | ||
| 4–13 | -0.08 | 27% | 5 Jul → | ||
| 13–11 | -0.02 | 12% | 4 Jul → | ||
| 16–14 | 0.06 | 23% | 3 Jul → | ||
| 5–13 | -0.04 | 19% | 1 Jul → | ||
| 13–10 | 0.03 | 29% | 1 Jul → | ||
| 8–13 | 0.02 | 23% | 29 Jun → | ||
| 13–7 | -0.02 | 21% | 28 Jun → | ||
| 13–4 | -0.01 | 20% | 28 Jun → | ||
| 9–13 | -0.10 | 18% | 28 Jun → | ||
| 13–7 | 0.01 | 20% | 27 Jun → | ||
| 13–9 | 0.05 | 17% | 27 Jun → | ||
| 10–13 | -0.04 | 25% | 26 Jun → | ||
| 10–13 | -0.02 | 16% | 26 Jun → | ||
| 11–13 | 0.01 | 13% | 26 Jun → | ||
| 14–16 | 0.07 | 19% | 25 Jun → | ||
| 10–13 | -0.01 | 32% | 24 Jun → | ||
| 12–16 | -0.01 | 20% | 23 Jun → | ||
| 10–13 | -0.01 | 12% | 22 Jun → | ||
| 4–13 | -0.08 | 11% | 22 Jun → | ||
| 16–14 | -0.01 | 23% | 22 Jun → | ||
| 13–11 | -0.05 | 27% | 18 Jun → | ||
| 13–4 | 0.01 | 28% | 17 Jun → | ||
| 13–10 | -0.08 | 17% | 15 Jun → | ||
| 3–13 | -0.05 | 22% | 13 Jun → | ||
| 13–11 | -0.05 | 16% | 13 Jun → | ||
| 7–13 | -0.01 | 12% | 11 Jun → | ||
| 2–13 | 0.02 | 13% | 10 Jun → | ||
| 13–11 | 0.04 | 25% | 10 Jun → | ||
| 6–13 | -0.03 | 18% | 8 Jun → | ||
| 16–12 | -0.01 | 24% | 6 Jun → | ||
| 8–13 | -0.02 | 12% | 6 Jun → | ||
| 13–3 | -0.01 | 10% | 5 Jun → | ||
| 13–6 | 0.08 | 13% | 5 Jun → | ||
| 13–6 | 0.02 | 26% | 4 Jun → | ||
| 13–8 | -0.01 | 15% | 2 Jun → | ||
| 13–10 | 0.05 | 16% | 2 Jun → | ||
| 13–10 | -0.02 | 10% | 29 May → | ||
| 13–8 | 0.07 | 14% | 28 May → | ||
| 19–16 | 0.05 | 8% | 28 May → | ||
| 13–10 | -0.03 | 6% | 28 May → | ||
| 16–12 | 0.01 | 22% | 25 May → | ||
| office | 8–13 | -0.02 | 29% | 25 May → |
Match data via Leetify.