B — CS2 Stats
76561198854181830[U:1:893916102]
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 |
|---|---|---|
| Headshot rate | 13.8% | 52.8% |
| Shot accuracy | 10.9% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 44.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive 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 NiKo 84% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 599ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| A | 35 | 22–13 | 63% | -0.01 | |
| S | 17 | 12–5 | 71% | -0.01 | |
| S | 16 | 12–4 | 75% | 0.01 | |
| S | 14 | 11–3 | 79% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (60% over 5). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 299 | 52% | 0.93 | 13.5 |
| Dust2 | 208 | 51% | 0.88 | 13.0 |
| Ancient | 146 | 53% | 0.99 | 13.1 |
| Inferno | 100 | 57% | 0.97 | 13.8 |
| Anubis | 38 | 47% | 1.06 | 13.5 |
| Nuke | 36 | 42% | 0.92 | 14.0 |
| Overpass | 30 | 50% | 0.86 | 12.2 |
| Cache | 21 | 48% | 0.86 | 12.4 |
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 0.4705 — below the 0.5 mark we flag
- 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 27.4194% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–1 | 0.00 | 15% | 26 Aug → | ||
| 13–8 | 0.04 | 18% | 26 Aug → | ||
| 13–8 | -0.03 | 15% | 21 Aug → | ||
| 5–13 | -0.03 | 19% | 30 Jul → | ||
| 13–11 | 0.02 | 30% | 30 Jul → | ||
| 13–8 | -0.03 | 14% | 6 Jul → | ||
| 13–8 | -0.00 | 22% | 6 Jul → | ||
| 2–0 | 0.00 | 0% | 6 Jul → | ||
| 13–8 | 0.06 | 26% | 6 Jul → | ||
| 13–5 | -0.04 | 30% | 24 Jun → | ||
| 13–10 | 0.02 | 18% | 24 Jun → | ||
| 13–4 | 0.09 | 15% | 23 Jun → | ||
| 13–1 | 0.03 | 32% | 23 Jun → | ||
| 13–2 | -0.02 | 18% | 10 Jun → | ||
| 11–13 | -0.03 | 20% | 4 Jun → | ||
| 9–13 | -0.01 | 25% | 4 Jun → | ||
| 13–2 | 0.09 | 18% | 1 Jun → | ||
| 1–13 | -0.01 | 22% | 1 Jun → | ||
| 7–13 | -0.04 | 21% | 25 May → | ||
| 13–7 | -0.01 | 24% | 19 May → | ||
| 13–4 | 0.05 | 14% | 19 May → | ||
| 13–11 | 0.03 | 15% | 14 May → | ||
| 13–10 | -0.02 | 12% | 14 May → | ||
| 13–10 | -0.06 | 17% | 11 May → | ||
| 13–9 | 0.01 | 25% | 10 May → | ||
| 20–22 | -0.03 | 18% | 10 May → | ||
| 13–8 | -0.04 | 0% | 9 May → | ||
| 16–13 | -0.04 | 11% | 8 May → | ||
| 16–19 | 0.00 | 9% | 6 May → | ||
| 4–13 | -0.04 | 21% | 6 May → | ||
| 13–2 | 0.01 | 32% | 4 May → | ||
| 13–9 | -0.06 | 11% | 1 May → | ||
| 13–1 | 0.02 | 24% | 1 May → | ||
| 13–2 | -0.03 | 18% | 1 May → | ||
| 10–13 | 0.06 | 33% | 1 May → | ||
| 13–2 | -0.03 | 14% | 30 Apr → | ||
| 13–9 | 0.02 | 21% | 29 Apr → | ||
| 13–4 | -0.04 | 17% | 29 Apr → | ||
| 13–4 | 0.03 | 15% | 29 Apr → | ||
| 13–4 | 0.04 | 17% | 27 Apr → | ||
| 11–13 | -0.07 | 18% | 27 Apr → | ||
| 8–13 | -0.03 | 42% | 27 Apr → | ||
| 14–16 | -0.01 | 19% | 26 Apr → | ||
| 3–13 | -0.09 | 11% | 26 Apr → | ||
| 9–13 | -0.03 | 27% | 25 Apr → | ||
| 13–8 | -0.02 | 12% | 22 Apr → | ||
| 13–3 | 0.02 | 29% | 22 Apr → | ||
| 10–13 | 0.07 | 30% | 20 Apr → | ||
| 13–8 | 0.03 | 20% | 18 Apr → | ||
| 13–3 | 0.07 | 32% | 16 Apr → | ||
| 10–13 | -0.10 | 15% | 13 Apr → | ||
| 13–2 | 0.06 | 26% | 12 Apr → | ||
| 9–13 | -0.04 | 24% | 9 Apr → | ||
| 13–7 | 0.02 | 21% | 9 Apr → | ||
| 9–13 | -0.02 | 24% | 6 Apr → | ||
| 6–13 | -0.03 | 41% | 3 Apr → | ||
| 13–9 | -0.08 | 20% | 2 Apr → | ||
| 12–12 | -0.01 | 23% | 2 Apr → | ||
| 13–10 | -0.01 | 22% | 1 Apr → | ||
| 13–9 | 0.01 | 32% | 1 Apr → | ||
| 13–11 | 0.04 | 37% | 31 Mar → | ||
| 13–2 | 0.06 | 30% | 31 Mar → | ||
| 7–13 | 0.02 | 17% | 28 Mar → | ||
| 13–5 | -0.01 | 23% | 28 Mar → | ||
| 13–11 | -0.02 | 23% | 25 Mar → | ||
| 11–13 | -0.00 | 12% | 24 Mar → | ||
| 10–13 | -0.07 | 26% | 21 Mar → | ||
| 10–13 | -0.00 | 24% | 19 Mar → | ||
| 13–7 | -0.01 | 26% | 18 Mar → | ||
| 9–13 | -0.06 | 11% | 18 Mar → | ||
| 13–5 | -0.05 | 53% | 18 Mar → | ||
| 11–13 | -0.04 | 28% | 8 Mar → | ||
| 13–4 | 0.02 | 6% | 8 Mar → | ||
| 13–4 | 0.09 | 22% | 6 Mar → | ||
| 13–6 | 0.17 | 34% | 6 Mar → | ||
| 13–9 | -0.00 | 36% | 5 Mar → | ||
| 5–13 | -0.02 | 15% | 5 Mar → | ||
| 13–7 | 0.03 | 24% | 3 Mar → | ||
| 13–8 | -0.00 | 15% | 3 Mar → | ||
| 16–14 | -0.02 | 28% | 2 Mar → | ||
| 3–13 | -0.06 | 22% | 2 Mar → | ||
| 13–6 | 0.08 | 14% | 2 Mar → | ||
| 13–11 | 0.02 | 20% | 2 Mar → | ||
| 13–5 | 0.06 | 35% | 1 Mar → | ||
| 25–22 | 0.00 | 21% | 26 Feb → | ||
| 13–9 | -0.06 | 19% | 25 Feb → | ||
| 13–8 | -0.02 | 17% | 25 Feb → | ||
| 5–0 | 0.03 | 45% | 25 Feb → | ||
| 13–7 | 0.03 | 24% | 19 Feb → | ||
| 13–10 | 0.00 | 16% | 18 Feb → | ||
| 13–2 | 0.02 | 12% | 18 Feb → | ||
| 11–13 | -0.01 | 27% | 18 Feb → | ||
| 5–13 | -0.02 | 31% | 18 Feb → | ||
| 0–2 | -0.09 | 100% | 18 Feb → | ||
| 16–13 | 0.03 | 19% | 17 Feb → | ||
| 13–11 | 0.02 | 22% | 17 Feb → | ||
| 16–13 | -0.03 | 13% | 16 Feb → | ||
| 14–16 | 0.01 | 17% | 16 Feb → | ||
| 10–13 | -0.11 | 18% | 16 Feb → | ||
| 13–9 | 0.02 | 21% | 16 Feb → |
Match data via Leetify.