qb — CS2 Stats
76561198040982455[U:1:80716727]Steam profile ↗
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 53.1% | 47.2% | 49.0% | above |
| Shot accuracy | 16.5% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.00 | 1.07 | 1.08 | 0.08 short |
| Match win rate | 38.7% | 46.3% | 46.9% | 8.3% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 9 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: +0pp win rate · +0.06 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafing
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 Twistzz 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Areas to improve
Reaction time. 603ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| C | 24 | 10–14 | 42% | 0.03 | |
| S | 17 | 12–5 | 71% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.00 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.00 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| office | — | 2 | 2–0 | 100% | 0.07 |
| poseidon | — | 2 | 1–1 | 50% | 0.11 |
| eldorado | — | 1 | 1–0 | 100% | 0.33 |
| debris | — | 1 | 0–1 | 0% | -0.03 |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 71 | 49% | 1.07 | 15.3 |
| Dust2 | 41 | 63% | 1.05 | 15.1 |
| Ancient | 35 | 51% | 1.06 | 14.1 |
| Inferno | 30 | 57% | 1.10 | 17.8 |
| Anubis | 22 | 59% | 1.20 | 15.3 |
| Nuke | 19 | 58% | 1.26 | 17.8 |
| Overpass | 7 | 43% | 1.02 | 17.0 |
| Train | 7 | 43% | 0.91 | 15.9 |
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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.01 | 17% | 31 Jul → | ||
| 12–12 | 0.10 | 22% | 28 Jul → | ||
| 15–15 | 0.03 | 15% | 19 Jul → | ||
| 9–13 | 0.03 | 11% | 19 Jul → | ||
| 13–9 | 0.13 | 26% | 10 Jul → | ||
| 13–11 | 0.10 | 32% | 10 Jul → | ||
| 8–13 | 0.03 | 23% | 10 Jul → | ||
| 8–13 | -0.01 | 26% | 10 Jul → | ||
| eldorado | 9–2 | 0.33 | 38% | 9 Jul → | |
| debris | 7–9 | -0.03 | 20% | 9 Jul → | |
| 5–13 | -0.00 | 22% | 9 Jul → | ||
| 10–13 | 0.00 | 24% | 3 Jul → | ||
| 13–6 | -0.03 | 22% | 3 Jul → | ||
| 10–13 | 0.05 | 15% | 20 Jun → | ||
| 3–13 | 0.03 | 23% | 20 Jun → | ||
| office | 13–11 | 0.12 | 14% | 20 Jun → | |
| 13–7 | 0.06 | 22% | 13 Jun → | ||
| 13–7 | -0.00 | 26% | 8 Jun → | ||
| 9–13 | -0.01 | 34% | 8 Jun → | ||
| 2–9 | -0.14 | 17% | 7 Jun → | ||
| poseidon | 8–8 | 0.04 | 15% | 7 Jun → | |
| 5–13 | -0.07 | 41% | 7 Jun → | ||
| 13–8 | -0.01 | 13% | 2 Jun → | ||
| 13–7 | 0.03 | 29% | 2 Jun → | ||
| 12–12 | 0.05 | 14% | 1 Jun → | ||
| 13–7 | 0.04 | 31% | 1 Jun → | ||
| 2–13 | -0.06 | 46% | 29 May → | ||
| 7–1 | 0.06 | 27% | 29 May → | ||
| 8–13 | 0.05 | 21% | 29 May → | ||
| 12–12 | -0.01 | 17% | 27 May → | ||
| 13–3 | -0.07 | 25% | 27 May → | ||
| poseidon | 9–5 | 0.17 | 22% | 24 May → | |
| 12–12 | 0.03 | 17% | 24 May → | ||
| 13–6 | 0.00 | 20% | 24 May → | ||
| 6–13 | -0.03 | 17% | 23 May → | ||
| 13–9 | 0.05 | 11% | 23 May → | ||
| 13–10 | 0.04 | 24% | 23 May → | ||
| office | 13–8 | 0.03 | 20% | 23 May → | |
| 12–12 | 0.08 | 16% | 23 May → | ||
| 12–12 | 0.08 | 62% | 23 May → | ||
| 13–11 | -0.02 | 19% | 22 May → | ||
| 6–13 | -0.06 | 22% | 22 May → | ||
| 11–13 | -0.03 | 27% | 22 May → | ||
| 13–7 | 0.00 | 24% | 22 May → | ||
| 13–6 | -0.00 | 17% | 22 May → | ||
| 4–13 | 0.05 | 25% | 22 May → | ||
| 13–8 | 0.10 | 29% | 22 May → | ||
| 8–13 | -0.05 | 18% | 18 May → | ||
| 13–7 | 0.09 | 33% | 18 May → | ||
| 13–8 | -0.03 | 23% | 17 May → | ||
| 13–1 | 0.03 | 23% | 17 May → | ||
| 7–13 | -0.04 | 31% | 17 May → | ||
| 4–13 | 0.07 | 28% | 16 May → | ||
| 13–11 | 0.13 | 29% | 16 May → | ||
| 2–13 | -0.08 | 20% | 16 May → | ||
| 11–13 | 0.10 | 22% | 16 May → | ||
| 13–7 | 0.15 | 24% | 16 May → | ||
| 13–8 | 0.07 | 26% | 15 May → | ||
| 6–13 | -0.05 | 13% | 14 May → | ||
| 12–12 | -0.01 | 20% | 14 May → | ||
| 9–13 | 0.04 | 18% | 14 May → | ||
| 13–5 | 0.01 | 17% | 7 May → | ||
| 11–6 | 0.02 | 42% | 7 May → | ||
| 12–12 | 0.05 | 16% | 6 May → | ||
| 13–9 | -0.00 | 27% | 6 May → | ||
| 6–13 | -0.03 | 26% | 30 Apr → | ||
| 13–11 | 0.05 | 34% | 30 Apr → | ||
| 13–10 | 0.10 | 35% | 30 Apr → | ||
| 13–11 | 0.05 | 15% | 26 Apr → | ||
| 13–11 | -0.00 | 27% | 25 Apr → | ||
| 13–5 | 0.09 | 20% | 25 Apr → | ||
| 13–11 | 0.06 | 23% | 18 Apr → | ||
| 10–13 | -0.03 | 36% | 18 Apr → | ||
| 13–6 | 0.12 | 22% | 5 Apr → | ||
| 8–13 | -0.02 | 28% | 4 Apr → | ||
| 7–13 | 0.02 | 40% | 4 Apr → | ||
| 2–13 | -0.09 | 20% | 30 Mar → | ||
| 8–13 | -0.07 | 26% | 30 Mar → | ||
| 13–11 | 0.05 | 21% | 30 Mar → | ||
| 13–9 | -0.02 | 29% | 26 Mar → | ||
| 11–13 | 0.05 | 27% | 25 Mar → | ||
| 1–13 | -0.06 | 26% | 23 Mar → | ||
| 1–13 | -0.00 | 30% | 23 Mar → | ||
| 14–16 | 0.03 | 15% | 14 Mar → | ||
| 13–11 | 0.04 | 29% | 14 Mar → | ||
| 13–5 | 0.00 | 18% | 14 Mar → | ||
| 11–13 | 0.03 | 17% | 14 Mar → | ||
| 13–11 | 0.02 | 16% | 13 Mar → | ||
| 13–9 | -0.04 | 16% | 13 Mar → | ||
| 13–3 | 0.02 | 27% | 13 Mar → | ||
| 8–13 | 0.01 | 22% | 13 Mar → | ||
| 13–5 | -0.01 | 21% | 12 Mar → | ||
| 13–6 | 0.03 | 23% | 12 Mar → | ||
| 0–6 | -0.11 | 17% | 12 Mar → | ||
| 10–13 | 0.01 | 23% | 4 Mar → | ||
| 13–11 | 0.09 | 23% | 3 Feb → | ||
| 16–12 | -0.01 | 13% | 30 Jan → | ||
| 2–13 | 0.03 | 31% | 30 Jan → | ||
| 7–13 | -0.05 | 0% | 23 Dec → | ||
| 8–13 | -0.01 | 22% | 30 Nov → |
Match data via Leetify.