Quarth — CS2 Stats
76561198866112855[U:1:905847127]Steam profile ↗
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 41.8% | 42.1% | 42.1% | meets |
| Shot accuracy | 12.1% | 12.9% | 12.1% | meets |
| Kill/death ratio | 0.82 | 1.00 | 0.99 | 0.17 short |
| Match win rate | 34.3% | 42.9% | 43.9% | 9.6% short |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 3 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 · -0.01 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 sh1ro 83% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution; 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
Strengths
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| D | 31 | 10–21 | 32% | 0.01 | |
| B | 22 | 11–11 | 50% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| office | — | 1 | 1–0 | 100% | -0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 31). Start with the 6 essential Mirage 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.
32% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.11 | 32% | 22 Aug → | ||
| 3–13 | -0.09 | 23% | 21 Jul → | ||
| 13–7 | 0.01 | 30% | 21 Jul → | ||
| 13–9 | 0.08 | 23% | 19 Jul → | ||
| 14–16 | -0.03 | 23% | 18 Jul → | ||
| 7–13 | 0.00 | 13% | 18 Jul → | ||
| 15–15 | -0.03 | 6% | 18 Jul → | ||
| 13–3 | 0.05 | 23% | 18 Jul → | ||
| 10–13 | 0.00 | 28% | 17 Jul → | ||
| 11–13 | 0.03 | 15% | 17 Jul → | ||
| 13–11 | 0.10 | 22% | 17 Jul → | ||
| 13–6 | 0.00 | 21% | 17 Jul → | ||
| 13–5 | 0.08 | 18% | 15 Jul → | ||
| 13–11 | 0.05 | 26% | 15 Jul → | ||
| 13–10 | -0.02 | 26% | 15 Jul → | ||
| 6–13 | -0.05 | 18% | 15 Jul → | ||
| 13–11 | 0.06 | 13% | 15 Jul → | ||
| 13–11 | 0.04 | 20% | 15 Jul → | ||
| 13–10 | -0.01 | 24% | 15 Jul → | ||
| 4–13 | -0.07 | 28% | 15 Jul → | ||
| 13–10 | -0.02 | 26% | 15 Jul → | ||
| 5–13 | 0.06 | 34% | 15 Jul → | ||
| 13–2 | -0.02 | 16% | 15 Jul → | ||
| 16–12 | 0.07 | 16% | 14 Jul → | ||
| 6–13 | -0.06 | 30% | 14 Jul → | ||
| 13–11 | 0.04 | 8% | 14 Jul → | ||
| 6–13 | 0.01 | 9% | 14 Jul → | ||
| 13–2 | 0.12 | 36% | 14 Jul → | ||
| 13–10 | -0.04 | 13% | 14 Jul → | ||
| 6–13 | -0.03 | 10% | 14 Jul → | ||
| 10–13 | -0.10 | 19% | 14 Jul → | ||
| 13–9 | 0.00 | 7% | 14 Jul → | ||
| 13–6 | 0.12 | 18% | 14 Jul → | ||
| 13–16 | 0.04 | 15% | 14 Jul → | ||
| 10–13 | 0.07 | 13% | 14 Jul → | ||
| 6–13 | -0.01 | 10% | 13 Jul → | ||
| 6–13 | -0.01 | 15% | 13 Jul → | ||
| 13–8 | 0.06 | 13% | 13 Jul → | ||
| 13–3 | 0.10 | 27% | 13 Jul → | ||
| 5–13 | 0.03 | 30% | 13 Jul → | ||
| 12–16 | 0.05 | 19% | 13 Jul → | ||
| office | 13–11 | -0.08 | 24% | 13 Jul → | |
| 8–13 | -0.00 | 11% | 12 Jul → | ||
| 13–8 | 0.06 | 7% | 12 Jul → | ||
| 13–2 | 0.03 | 37% | 12 Jul → | ||
| 7–13 | -0.06 | 23% | 12 Jul → | ||
| 13–2 | -0.01 | 15% | 12 Jul → | ||
| 13–5 | 0.03 | 16% | 11 Jul → | ||
| 13–5 | 0.01 | 15% | 11 Jul → | ||
| 13–10 | 0.04 | 17% | 11 Jul → | ||
| 13–7 | 0.12 | 20% | 11 Jul → | ||
| 8–13 | -0.03 | 28% | 11 Jul → | ||
| 13–11 | 0.03 | 22% | 10 Jul → | ||
| 13–11 | 0.06 | 19% | 10 Jul → | ||
| 6–13 | -0.06 | 19% | 10 Jul → | ||
| 8–13 | 0.01 | 23% | 10 Jul → | ||
| 9–13 | 0.02 | 16% | 9 Jul → | ||
| 13–9 | -0.03 | 19% | 9 Jul → | ||
| 8–13 | -0.03 | 22% | 9 Jul → | ||
| 7–13 | -0.09 | 6% | 8 Jul → | ||
| 13–4 | 0.00 | 15% | 8 Jul → | ||
| 2–7 | -0.07 | 0% | 7 Jul → | ||
| 13–2 | 0.04 | 11% | 7 Jul → | ||
| 10–13 | 0.02 | 16% | 6 Jul → | ||
| 11–13 | 0.00 | 22% | 6 Jul → | ||
| 8–13 | -0.07 | 21% | 5 Jul → | ||
| 10–13 | 0.02 | 12% | 5 Jul → | ||
| 13–7 | 0.04 | 13% | 5 Jul → | ||
| 2–13 | -0.07 | 7% | 5 Jul → | ||
| 13–9 | 0.00 | 23% | 5 Jul → | ||
| 13–7 | 0.03 | 10% | 5 Jul → | ||
| 13–10 | -0.02 | 24% | 5 Jul → | ||
| 13–6 | -0.06 | 12% | 5 Jul → | ||
| 15–15 | 0.04 | 8% | 5 Jul → | ||
| 13–9 | 0.07 | 14% | 4 Jul → | ||
| 7–13 | -0.00 | 9% | 4 Jul → | ||
| 11–13 | -0.05 | 20% | 4 Jul → | ||
| 13–8 | -0.11 | 8% | 3 Jul → | ||
| 5–13 | -0.03 | 12% | 3 Jul → | ||
| 9–13 | -0.04 | 19% | 3 Jul → | ||
| 15–15 | -0.04 | 3% | 3 Jul → | ||
| 13–3 | -0.00 | 38% | 3 Jul → | ||
| 13–7 | -0.11 | 9% | 3 Jul → | ||
| 13–3 | 0.08 | 30% | 3 Jul → | ||
| 13–6 | -0.03 | 24% | 2 Jul → | ||
| 7–13 | -0.06 | 31% | 2 Jul → | ||
| 4–13 | -0.06 | 18% | 2 Jul → | ||
| 13–6 | 0.05 | 15% | 2 Jul → | ||
| 6–13 | -0.04 | 45% | 2 Jul → | ||
| 8–13 | -0.00 | 10% | 2 Jul → | ||
| 13–8 | 0.07 | 21% | 2 Jul → | ||
| 9–13 | 0.01 | 11% | 2 Jul → | ||
| 13–4 | 0.06 | 33% | 2 Jul → | ||
| 10–13 | 0.09 | 14% | 2 Jul → | ||
| 13–6 | 0.07 | 23% | 2 Jul → | ||
| 15–15 | 0.00 | 22% | 2 Jul → | ||
| 13–7 | 0.11 | 23% | 2 Jul → | ||
| 13–2 | 0.22 | 23% | 2 Jul → | ||
| 4–13 | -0.09 | 16% | 2 Jul → | ||
| 13–5 | 0.07 | 22% | 1 Jul → |
Match data via Leetify.