Quager — CS2 Stats
76561198116242162[U:1:155976434]✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 51.2% | 52.8% | 1.6% short |
| Shot accuracy | 11.6% | 13.7% | 2.1% short |
| Kill/death ratio | 1.11 | 1.08 | above |
| Match win rate | 45.7% | 49.2% | 3.5% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 jL 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
Areas to improve
T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 595ms 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 6.0/10 (Solid), 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 | 37 | 20–17 | 54% | 0.02 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.03 | |
| C | 7 | 3–4 | 43% | -0.03 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| — | 4 | 4–0 | 100% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 46 | 48% | 1.11 | 15.6 |
| Mirage | 41 | 63% | 1.22 | 18.7 |
| Ancient | 30 | 63% | 1.22 | 15.3 |
| Inferno | 26 | 69% | 1.46 | 19.1 |
| Anubis | 14 | 64% | 1.26 | 14.3 |
| Overpass | 13 | 85% | 1.17 | 16.5 |
| Nuke | 10 | 60% | 1.19 | 14.0 |
| Vertigo | 3 | 100% | 1.84 | 16.7 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 37.2206% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.04 | 15% | 27 Aug → | ||
| 7–13 | 0.01 | 17% | 27 Aug → | ||
| 15–15 | 0.03 | 20% | 27 Jul → | ||
| 0–13 | -0.04 | 100% | 27 Jul → | ||
| 2–13 | -0.09 | 11% | 27 Jul → | ||
| 13–4 | 0.02 | 57% | 27 Jul → | ||
| 13–5 | 0.11 | 44% | 27 Jul → | ||
| 5–13 | 0.01 | 27% | 27 Jul → | ||
| 13–11 | -0.04 | 26% | 5 Jun → | ||
| 13–6 | 0.03 | 32% | 5 Jun → | ||
| 7–13 | -0.04 | 10% | 4 Jun → | ||
| 13–3 | 0.05 | 46% | 4 Jun → | ||
| 8–13 | -0.02 | 18% | 3 Jun → | ||
| 1–13 | -0.06 | 32% | 2 Jun → | ||
| 13–5 | 0.09 | 16% | 31 May → | ||
| 13–16 | 0.05 | 24% | 28 May → | ||
| 13–4 | 0.07 | 22% | 28 May → | ||
| 9–13 | -0.06 | 23% | 28 May → | ||
| 9–2 | -0.01 | 14% | 27 May → | ||
| 13–4 | -0.01 | 35% | 27 May → | ||
| 16–12 | 0.03 | 27% | 26 May → | ||
| 13–8 | -0.02 | 18% | 26 May → | ||
| 13–10 | 0.12 | 24% | 21 May → | ||
| 12–16 | -0.02 | 22% | 20 May → | ||
| 10–13 | 0.01 | 27% | 19 May → | ||
| 9–12 | 0.04 | 26% | 19 May → | ||
| 13–6 | 0.00 | 20% | 18 May → | ||
| 13–6 | 0.08 | 23% | 18 May → | ||
| 5–13 | -0.00 | 18% | 18 May → | ||
| 16–14 | -0.01 | 37% | 18 May → | ||
| 13–11 | 0.03 | 21% | 18 May → | ||
| 3–13 | -0.01 | 37% | 15 May → | ||
| 8–13 | -0.01 | 23% | 15 May → | ||
| 13–11 | 0.04 | 26% | 14 May → | ||
| 11–13 | 0.09 | 16% | 14 May → | ||
| 13–6 | 0.07 | 31% | 14 May → | ||
| 13–9 | -0.02 | 12% | 13 May → | ||
| 13–10 | -0.02 | 22% | 12 May → | ||
| 13–7 | 0.04 | 18% | 11 May → | ||
| 1–13 | -0.06 | 13% | 11 May → | ||
| 5–1 | -0.03 | 29% | 11 May → | ||
| 13–6 | -0.02 | 28% | 11 May → | ||
| 0–13 | -0.10 | 0% | 8 May → | ||
| 13–9 | -0.03 | 15% | 7 May → | ||
| 13–5 | 0.09 | 29% | 7 May → | ||
| 13–4 | 0.06 | 22% | 7 May → | ||
| 13–3 | 0.06 | 26% | 7 May → | ||
| 13–7 | 0.03 | 15% | 6 May → | ||
| 13–1 | 0.11 | 18% | 6 May → | ||
| 12–15 | 0.01 | 14% | 4 May → | ||
| 13–5 | 0.01 | 21% | 4 May → | ||
| 13–9 | 0.04 | 11% | 2 May → | ||
| 13–5 | -0.03 | 26% | 2 May → | ||
| 13–9 | 0.01 | 19% | 2 May → | ||
| 13–11 | -0.01 | 13% | 2 May → | ||
| 2–13 | -0.05 | 16% | 1 May → | ||
| 8–13 | -0.04 | 16% | 1 May → | ||
| 13–11 | 0.02 | 23% | 1 May → | ||
| 2–13 | -0.05 | 19% | 30 Apr → | ||
| 2–13 | -0.02 | 19% | 30 Apr → | ||
| 10–13 | -0.01 | 24% | 29 Apr → | ||
| 13–7 | -0.03 | 15% | 28 Apr → | ||
| 13–3 | 0.06 | 23% | 28 Apr → | ||
| 9–13 | 0.03 | 18% | 27 Apr → | ||
| 13–10 | 0.12 | 19% | 25 Apr → | ||
| 13–4 | 0.02 | 28% | 25 Apr → | ||
| 13–6 | 0.11 | 32% | 25 Apr → | ||
| 10–13 | -0.02 | 14% | 25 Apr → | ||
| 11–13 | -0.03 | 21% | 25 Apr → | ||
| 8–13 | -0.01 | 26% | 25 Apr → | ||
| 9–13 | 0.01 | 17% | 25 Apr → | ||
| 16–14 | 0.03 | 12% | 24 Apr → | ||
| 13–10 | 0.02 | 18% | 24 Apr → | ||
| 13–2 | -0.07 | 11% | 23 Apr → | ||
| 3–13 | -0.03 | 20% | 23 Apr → | ||
| 8–13 | -0.03 | 21% | 23 Apr → | ||
| 16–14 | 0.07 | 25% | 22 Apr → | ||
| 8–13 | -0.04 | 22% | 21 Apr → | ||
| 13–5 | 0.04 | 13% | 21 Apr → | ||
| 9–13 | -0.03 | 9% | 21 Apr → | ||
| 13–1 | 0.19 | 29% | 21 Apr → | ||
| 7–13 | -0.03 | 10% | 21 Apr → | ||
| 13–3 | 0.05 | 20% | 21 Apr → | ||
| 13–6 | 0.03 | 28% | 20 Apr → | ||
| 13–8 | 0.03 | 22% | 20 Apr → | ||
| 5–13 | -0.08 | 16% | 19 Apr → | ||
| 13–10 | 0.02 | 15% | 19 Apr → | ||
| 13–3 | 0.05 | 18% | 18 Apr → | ||
| 13–2 | 0.08 | 24% | 14 Apr → | ||
| 7–13 | -0.03 | 23% | 13 Apr → | ||
| 13–8 | 0.01 | 20% | 31 Mar → | ||
| 5–13 | -0.07 | 19% | 28 Mar → | ||
| 4–13 | -0.03 | 15% | 28 Mar → | ||
| 6–13 | 0.10 | 15% | 28 Mar → | ||
| 13–6 | 0.04 | 12% | 27 Mar → | ||
| 13–11 | -0.00 | 9% | 25 Mar → | ||
| 13–8 | 0.03 | 25% | 25 Mar → | ||
| 13–7 | -0.01 | 21% | 24 Mar → | ||
| 8–13 | -0.03 | 20% | 24 Mar → | ||
| 8–13 | -0.05 | 18% | 23 Mar → |
Match data via Leetify.