Quicksr — CS2 Stats
WF76561199678973383[U:1:1718707655]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 54.5% | 44.7% | 46.1% | above |
| Shot accuracy | 0.0% | 11.9% | 12.6% | 12.6% short |
| Kill/death ratio | 0.96 | 1.04 | 1.05 | 0.10 short |
| Match win rate | 37.7% | 45.2% | 45.7% | 8.1% short |
This profile matches the typical Level 7 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 7 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: -20pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 donk 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; 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
CT openings. 60% 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 60% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 570ms 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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 35 | 17–18 | 49% | 0.02 | |
| S | 20 | 13–7 | 65% | 0.06 | |
| C | 13 | 5–8 | 38% | 0.08 | |
| B | 13 | 7–6 | 54% | 0.06 | |
| C | 11 | 4–7 | 36% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 41 | 34% | 1.24 | 20.2 |
| Dust2 | 26 | 65% | 1.58 | 20.6 |
| Inferno | 18 | 50% | 1.47 | 19.8 |
| Nuke | 10 | 70% | 1.86 | 27.4 |
| Ancient | 9 | 56% | 1.40 | 21.7 |
| Overpass | 6 | 83% | 1.55 | 20.5 |
| Cache | 4 | 25% | 1.35 | 18.5 |
| Anubis | 3 | 67% | 1.81 | 17.7 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1947 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.01 | 33% | 30 Aug → | ||
| 11–13 | 0.09 | 31% | 30 Aug → | ||
| 13–16 | -0.03 | 21% | 29 Aug → | ||
| 3–13 | -0.01 | 22% | 29 Aug → | ||
| 13–6 | 0.03 | 18% | 29 Aug → | ||
| 4–13 | -0.05 | 22% | 28 Aug → | ||
| 11–13 | 0.06 | 23% | 28 Aug → | ||
| 13–9 | 0.01 | 36% | 28 Aug → | ||
| 14–16 | 0.05 | 29% | 27 Aug → | ||
| 16–13 | 0.04 | 17% | 26 Aug → | ||
| 16–13 | -0.01 | 27% | 26 Aug → | ||
| 4–13 | -0.08 | 44% | 26 Aug → | ||
| 13–9 | -0.02 | 22% | 25 Aug → | ||
| 16–14 | 0.06 | 15% | 25 Aug → | ||
| 13–8 | -0.02 | 21% | 25 Aug → | ||
| 7–13 | -0.01 | 42% | 25 Aug → | ||
| 13–5 | -0.02 | 18% | 25 Aug → | ||
| 10–13 | -0.00 | 26% | 25 Aug → | ||
| 11–13 | 0.02 | 25% | 24 Aug → | ||
| 8–13 | 0.00 | 35% | 24 Aug → | ||
| 12–16 | 0.00 | 24% | 3 Jun → | ||
| 13–10 | 0.04 | 12% | 2 Jun → | ||
| 6–13 | -0.05 | 17% | 2 Jun → | ||
| 15–15 | -0.05 | 26% | 31 May → | ||
| 13–8 | 0.03 | 19% | 31 May → | ||
| 1–9 | -0.06 | 43% | 31 May → | ||
| 12–6 | 0.07 | 24% | 31 May → | ||
| 13–7 | 0.02 | 25% | 29 May → | ||
| 16–13 | 0.03 | 16% | 26 May → | ||
| 11–13 | 0.05 | 22% | 29 Apr → | ||
| 10–13 | -0.02 | 12% | 26 Apr → | ||
| 16–12 | 0.05 | 28% | 26 Apr → | ||
| 19–17 | 0.12 | 20% | 26 Apr → | ||
| 12–16 | -0.03 | 12% | 22 Apr → | ||
| 19–16 | 0.01 | 20% | 22 Apr → | ||
| 13–4 | 0.07 | 24% | 21 Apr → | ||
| 13–9 | 0.01 | 22% | 21 Apr → | ||
| 13–8 | 0.02 | 23% | 21 Apr → | ||
| 4–13 | -0.02 | 13% | 20 Apr → | ||
| 19–17 | 0.09 | 31% | 20 Apr → | ||
| 13–6 | 0.13 | 22% | 19 Apr → | ||
| 11–13 | 0.04 | 23% | 18 Apr → | ||
| 1–5 | -0.07 | 14% | 15 Apr → | ||
| 12–12 | 0.02 | 29% | 15 Apr → | ||
| 13–6 | 0.12 | 17% | 15 Apr → | ||
| 4–13 | 0.07 | 31% | 14 Apr → | ||
| 13–11 | 0.13 | 18% | 14 Apr → | ||
| 4–13 | -0.06 | 26% | 14 Apr → | ||
| 6–12 | 0.16 | 14% | 13 Apr → | ||
| 9–13 | 0.01 | 26% | 13 Apr → | ||
| 13–5 | 0.04 | 16% | 13 Apr → | ||
| 9–13 | 0.09 | 27% | 13 Apr → | ||
| 13–2 | 0.10 | 29% | 12 Apr → | ||
| 13–11 | 0.02 | 35% | 12 Apr → | ||
| 13–7 | 0.13 | 22% | 12 Apr → | ||
| 11–13 | 0.07 | 21% | 11 Apr → | ||
| 13–9 | 0.07 | 24% | 11 Apr → | ||
| 8–13 | 0.10 | 23% | 11 Apr → | ||
| 13–6 | 0.12 | 30% | 11 Apr → | ||
| 4–13 | -0.03 | 13% | 11 Apr → | ||
| 1–9 | 0.04 | 21% | 10 Apr → | ||
| 8–13 | 0.03 | 15% | 10 Apr → | ||
| 13–8 | 0.15 | 22% | 10 Apr → | ||
| 13–6 | 0.12 | 14% | 9 Apr → | ||
| 8–13 | 0.04 | 16% | 9 Apr → | ||
| 13–6 | 0.12 | 20% | 9 Apr → | ||
| 13–6 | 0.09 | 20% | 9 Apr → | ||
| 7–13 | 0.07 | 24% | 8 Apr → | ||
| 7–13 | 0.03 | 29% | 8 Apr → | ||
| 12–12 | 0.11 | 20% | 8 Apr → | ||
| 13–10 | 0.18 | 14% | 8 Apr → | ||
| 7–13 | -0.03 | 26% | 8 Apr → | ||
| 13–3 | 0.12 | 23% | 8 Apr → | ||
| 13–11 | 0.06 | 23% | 7 Apr → | ||
| 13–5 | 0.05 | 28% | 7 Apr → | ||
| 13–8 | 0.09 | 15% | 7 Apr → | ||
| 12–12 | 0.12 | 27% | 7 Apr → | ||
| 13–8 | 0.09 | 19% | 7 Apr → | ||
| 8–13 | 0.19 | 19% | 6 Apr → | ||
| 2–13 | -0.06 | 23% | 6 Apr → | ||
| 10–13 | 0.05 | 19% | 6 Apr → | ||
| 10–13 | 0.06 | 18% | 6 Apr → | ||
| 13–9 | 0.07 | 15% | 6 Apr → | ||
| 13–11 | 0.08 | 31% | 6 Apr → | ||
| 13–7 | -0.05 | 23% | 6 Apr → | ||
| 13–4 | 0.13 | 25% | 6 Apr → | ||
| 13–4 | 0.01 | 24% | 6 Apr → | ||
| 13–2 | 0.16 | 21% | 6 Apr → | ||
| 10–13 | 0.11 | 34% | 5 Apr → | ||
| 5–13 | 0.07 | 22% | 5 Apr → | ||
| 1–13 | -0.07 | 14% | 5 Apr → | ||
| 13–10 | 0.11 | 18% | 5 Apr → | ||
| 4–13 | 0.07 | 35% | 5 Apr → | ||
| 13–9 | 0.09 | 23% | 5 Apr → | ||
| 13–6 | 0.05 | 19% | 5 Apr → | ||
| 13–4 | -0.01 | 15% | 13 Mar → | ||
| 16–14 | -0.05 | 35% | 11 Mar → | ||
| 13–2 | 0.06 | 39% | 11 Mar → | ||
| 2–12 | -0.02 | 18% | 11 Mar → | ||
| 15–15 | -0.00 | 40% | 10 Mar → |
Match data via Leetify.