soq — CS2 Stats
76561198081302458[U:1:121036730]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 25,732
- Next: Gold band at 30,000 — 4,268 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink 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 Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 43.1% | 42.1% | 42.5% | meets |
| Shot accuracy | 18.2% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.04 | 0.99 | 0.99 | above |
| Match win rate | 44.8% | 43.9% | 44.2% | meets |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 ropz 86% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher opening-fight frequency; 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 12–14 | 46% | -0.02 | |
| A | 23 | 14–9 | 61% | 0.00 | |
| S | 11 | 9–2 | 82% | 0.01 | |
| D | 11 | 3–8 | 27% | -0.02 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| debris | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 11). 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 resultsLWWLW
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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | -0.03 | 20% | 27 Aug → | ||
| 5–13 | -0.04 | 33% | 27 Aug → | ||
| 13–9 | 0.02 | 25% | 27 Aug → | ||
| 13–9 | -0.02 | 10% | 26 Aug → | ||
| 6–13 | -0.04 | 13% | 21 Aug → | ||
| 13–5 | 0.09 | 27% | 21 Aug → | ||
| 13–6 | -0.02 | 13% | 20 Aug → | ||
| 13–10 | -0.03 | 25% | 16 Aug → | ||
| 10–13 | -0.01 | 16% | 29 Jul → | ||
| 13–11 | -0.02 | 14% | 29 Jul → | ||
| 7–13 | -0.11 | 23% | 28 Jul → | ||
| 12–12 | 0.03 | 13% | 28 Jul → | ||
| debris | 9–4 | 0.03 | 15% | 28 Jul → | |
| 16–13 | 0.08 | 17% | 22 Jul → | ||
| 4–13 | -0.05 | 21% | 21 Jul → | ||
| 13–8 | -0.00 | 28% | 20 Jul → | ||
| 13–8 | 0.01 | 25% | 20 Jul → | ||
| 12–12 | -0.00 | 18% | 16 Jul → | ||
| 13–3 | 0.01 | 30% | 16 Jul → | ||
| 13–10 | 0.05 | 19% | 10 Jul → | ||
| 7–13 | -0.05 | 12% | 3 Jul → | ||
| 10–13 | -0.02 | 12% | 3 Jul → | ||
| 13–7 | -0.04 | 17% | 29 Jun → | ||
| 13–8 | -0.00 | 11% | 29 Jun → | ||
| 7–13 | -0.01 | 16% | 26 Jun → | ||
| 9–13 | -0.09 | 14% | 26 Jun → | ||
| 13–7 | -0.00 | 16% | 23 Jun → | ||
| 13–11 | 0.03 | 30% | 23 Jun → | ||
| 13–9 | 0.02 | 19% | 23 Jun → | ||
| 16–12 | 0.02 | 21% | 22 Jun → | ||
| 10–13 | 0.00 | 16% | 22 Jun → | ||
| 13–11 | 0.03 | 17% | 20 Jun → | ||
| 12–16 | -0.02 | 21% | 20 Jun → | ||
| 13–6 | 0.03 | 13% | 19 Jun → | ||
| 15–15 | -0.04 | 21% | 19 Jun → | ||
| 13–10 | -0.01 | 15% | 19 Jun → | ||
| 0–2 | -0.07 | 25% | 19 Jun → | ||
| 15–15 | 0.01 | 18% | 19 Jun → | ||
| 13–10 | 0.06 | 22% | 19 Jun → | ||
| 13–7 | 0.02 | 24% | 16 Jun → | ||
| 13–11 | -0.03 | 25% | 16 Jun → | ||
| 11–13 | -0.01 | 20% | 14 Jun → | ||
| 13–4 | 0.06 | 16% | 14 Jun → | ||
| 15–15 | 0.03 | 13% | 14 Jun → | ||
| 13–4 | -0.00 | 32% | 12 Jun → | ||
| 13–7 | -0.02 | 12% | 11 Jun → | ||
| 13–7 | 0.01 | 24% | 11 Jun → | ||
| 1–7 | 0.01 | 25% | 6 Jun → | ||
| 3–13 | -0.06 | 15% | 1 Jun → | ||
| 13–9 | -0.03 | 26% | 31 May → | ||
| 6–13 | -0.00 | 20% | 29 May → | ||
| 13–7 | -0.08 | 20% | 29 May → | ||
| 7–13 | 0.02 | 39% | 28 May → | ||
| 11–13 | 0.03 | 23% | 28 May → | ||
| 13–7 | 0.02 | 17% | 28 May → | ||
| 10–13 | -0.06 | 24% | 28 May → | ||
| 8–13 | -0.03 | 32% | 27 May → | ||
| 13–7 | 0.02 | 39% | 27 May → | ||
| 9–13 | -0.03 | 11% | 27 May → | ||
| 15–15 | 0.05 | 20% | 26 May → | ||
| 13–10 | 0.00 | 28% | 26 May → | ||
| 13–11 | 0.05 | 25% | 26 May → | ||
| 13–16 | -0.06 | 27% | 25 May → | ||
| 16–14 | -0.02 | 23% | 24 May → | ||
| 10–13 | 0.00 | 34% | 21 May → | ||
| 13–10 | -0.06 | 43% | 20 May → | ||
| 13–5 | 0.02 | 38% | 20 May → | ||
| 15–15 | -0.01 | 15% | 20 May → | ||
| 13–9 | -0.01 | 22% | 20 May → | ||
| 13–5 | 0.03 | 22% | 19 May → | ||
| 9–13 | -0.09 | 14% | 19 May → | ||
| 10–13 | -0.02 | 20% | 19 May → | ||
| 15–15 | -0.02 | 10% | 15 May → | ||
| 11–13 | 0.00 | 16% | 15 May → | ||
| 13–11 | 0.05 | 24% | 15 May → | ||
| 15–15 | -0.03 | 13% | 15 May → | ||
| 13–3 | -0.03 | 12% | 15 May → | ||
| 9–13 | -0.06 | 17% | 14 May → | ||
| 11–13 | -0.02 | 14% | 12 May → | ||
| 5–13 | -0.06 | 13% | 12 May → | ||
| 13–10 | 0.06 | 15% | 12 May → | ||
| 11–13 | -0.02 | 17% | 12 May → | ||
| 11–4 | -0.00 | 25% | 12 May → | ||
| 6–13 | -0.06 | 11% | 11 May → | ||
| 5–13 | -0.05 | 45% | 11 May → | ||
| 13–2 | 0.09 | 29% | 11 May → | ||
| 0–13 | -0.04 | 20% | 11 May → | ||
| 13–8 | -0.01 | 17% | 11 May → | ||
| 0–13 | -0.07 | 0% | 11 May → | ||
| 13–5 | -0.00 | 33% | 11 May → | ||
| 13–3 | -0.05 | 18% | 10 May → | ||
| 6–13 | -0.06 | 7% | 10 May → | ||
| 7–13 | 0.03 | 31% | 10 May → | ||
| 13–10 | -0.06 | 23% | 10 May → | ||
| 13–11 | -0.00 | 23% | 9 May → | ||
| 13–4 | 0.11 | 20% | 9 May → | ||
| 13–4 | 0.03 | 17% | 9 May → | ||
| 13–9 | -0.01 | 14% | 9 May → | ||
| 12–16 | -0.06 | 18% | 8 May → | ||
| 13–2 | 0.10 | 27% | 8 May → |
Match data via Leetify.