reason — CS2 Stats
76561198055334959[U:1:95069231]Steam profile ↗
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 46.2% | 49.0% | 52.0% | 5.8% short |
| Shot accuracy | 7.0% | 13.1% | 13.7% | 6.6% short |
| Kill/death ratio | 0.88 | 1.08 | 1.08 | 0.20 short |
| Match win rate | 48.8% | 46.9% | 48.8% | meets |
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: +20pp win rate · +0.02 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 ropz 91% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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
T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 train | A | 31 | 19–12 | 61% | 0.04 |
 nuke | A | 18 | 10–8 | 56% | 0.02 |
 dust2 | A | 17 | 10–7 | 59% | 0.01 |
 mirage | D | 10 | 3–7 | 30% | -0.01 |
 ancient | D | 7 | 1–6 | 14% | -0.00 |
 anubis | A | 7 | 4–3 | 57% | 0.02 |
 cache | A | 5 | 3–2 | 60% | 0.05 |
 inferno | — | 2 | 1–1 | 50% | -0.01 |
 overpass | — | 2 | 0–2 | 0% | 0.07 |
| alpine | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 147 | 52% | 0.99 | 14.9 |
| Dust2 | 96 | 55% | 1.09 | 16.6 |
| Ancient | 48 | 52% | 1.02 | 15.0 |
| Anubis | 46 | 65% | 1.05 | 16.2 |
| Nuke | 23 | 39% | 1.12 | 18.0 |
| Inferno | 14 | 50% | 1.08 | 17.8 |
| Overpass | 3 | 67% | 0.84 | 10.7 |
| Train | 3 | 67% | 0.90 | 13.3 |
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 0.4975 — 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 35.7782% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| train | 13–4 | 0.01 | 17% | 23 Aug → | |
| train | 13–10 | 0.08 | 20% | 16 Aug → | |
| mirage | 7–13 | -0.04 | 18% | 15 Aug → | |
| nuke | 5–4 | -0.01 | 17% | 14 Aug → | |
| inferno | 9–13 | -0.00 | 28% | 14 Aug → | |
| ancient | 11–13 | 0.04 | 9% | 14 Aug → | |
| cache | 13–11 | 0.10 | 29% | 13 Aug → | |
| dust2 | 13–5 | -0.02 | 33% | 10 Aug → | |
| mirage | 13–7 | 0.01 | 11% | 9 Aug → | |
| train | 3–13 | -0.03 | 24% | 5 Aug → | |
| mirage | 10–13 | -0.02 | 32% | 4 Aug → | |
| ancient | 11–13 | -0.04 | 16% | 4 Aug → | |
| mirage | 5–13 | -0.00 | 16% | 3 Aug → | |
| inferno | 13–7 | -0.01 | 13% | 3 Aug → | |
| dust2 | 2–6 | -0.07 | 14% | 3 Aug → | |
| dust2 | 13–0 | 0.08 | 10% | 2 Aug → | |
| train | 5–13 | 0.02 | 26% | 1 Aug → | |
| anubis | 11–1 | 0.01 | 23% | 1 Aug → | |
| mirage | 0–13 | -0.08 | 17% | 1 Aug → | |
| anubis | 13–6 | 0.05 | 23% | 1 Aug → | |
| train | 7–13 | 0.08 | 35% | 31 Jul → | |
| nuke | 7–13 | -0.03 | 24% | 31 Jul → | |
| dust2 | 4–13 | -0.04 | 18% | 31 Jul → | |
| dust2 | 3–13 | -0.08 | 22% | 31 Jul → | |
| mirage | 8–13 | 0.01 | 18% | 31 Jul → | |
| train | 13–6 | 0.04 | 28% | 30 Jul → | |
| anubis | 16–14 | 0.03 | 20% | 30 Jul → | |
| mirage | 2–13 | -0.11 | 19% | 28 Jul → | |
| dust2 | 13–11 | 0.05 | 24% | 28 Jul → | |
| dust2 | 8–13 | 0.03 | 27% | 28 Jul → | |
| train | 10–13 | 0.01 | 14% | 27 Jul → | |
| nuke | 7–13 | -0.09 | 21% | 27 Jul → | |
| dust2 | 13–4 | -0.01 | 30% | 27 Jul → | |
| nuke | 13–7 | 0.05 | 28% | 27 Jul → | |
| dust2 | 16–13 | 0.07 | 17% | 27 Jul → | |
| nuke | 16–13 | 0.04 | 28% | 26 Jul → | |
| nuke | 7–13 | -0.09 | 16% | 26 Jul → | |
| train | 0–13 | -0.08 | 17% | 23 Jul → | |
| mirage | 3–13 | -0.03 | 22% | 23 Jul → | |
| anubis | 6–13 | -0.05 | 26% | 23 Jul → | |
| nuke | 13–1 | 0.04 | 15% | 23 Jul → | |
| nuke | 15–15 | -0.06 | 12% | 23 Jul → | |
| nuke | 13–1 | 0.18 | 44% | 22 Jul → | |
| train | 13–9 | 0.00 | 23% | 22 Jul → | |
| nuke | 13–8 | -0.01 | 20% | 21 Jul → | |
| dust2 | 13–0 | -0.02 | 25% | 21 Jul → | |
| dust2 | 13–10 | 0.08 | 15% | 21 Jul → | |
| mirage | 13–6 | 0.08 | 20% | 21 Jul → | |
| ancient | 13–7 | -0.00 | 19% | 21 Jul → | |
| anubis | 4–7 | -0.01 | 11% | 21 Jul → | |
| nuke | 8–13 | 0.00 | 19% | 20 Jul → | |
| ancient | 9–13 | -0.00 | 15% | 20 Jul → | |
| nuke | 13–11 | 0.04 | 14% | 20 Jul → | |
| train | 13–9 | 0.06 | 18% | 19 Jul → | |
| train | 13–8 | 0.05 | 18% | 19 Jul → | |
| nuke | 8–13 | -0.06 | 8% | 18 Jul → | |
| ancient | 2–13 | -0.04 | 28% | 18 Jul → | |
| cache | 0–7 | 0.02 | 16% | 18 Jul → | |
| train | 13–5 | 0.11 | 21% | 17 Jul → | |
| train | 13–11 | 0.15 | 24% | 17 Jul → | |
| ancient | 9–13 | 0.07 | 19% | 17 Jul → | |
| nuke | 9–13 | 0.05 | 25% | 17 Jul → | |
| train | 13–6 | 0.04 | 17% | 16 Jul → | |
| dust2 | 16–13 | 0.03 | 14% | 16 Jul → | |
| train | 7–13 | -0.00 | 20% | 15 Jul → | |
| anubis | 8–13 | 0.05 | 25% | 14 Jul → | |
| nuke | 5–2 | 0.06 | 39% | 14 Jul → | |
| nuke | 7–13 | -0.02 | 22% | 14 Jul → | |
| train | 13–10 | 0.13 | 29% | 13 Jul → | |
| ancient | 13–16 | -0.02 | 12% | 13 Jul → | |
| cache | 13–11 | -0.02 | 16% | 13 Jul → | |
| dust2 | 13–6 | 0.06 | 19% | 12 Jul → | |
| dust2 | 15–15 | 0.03 | 15% | 11 Jul → | |
| dust2 | 5–13 | -0.06 | 16% | 11 Jul → | |
| mirage | 13–3 | 0.09 | 18% | 11 Jul → | |
| train | 13–4 | 0.19 | 28% | 10 Jul → | |
| train | 9–2 | 0.04 | 38% | 10 Jul → | |
| dust2 | 13–7 | 0.03 | 19% | 10 Jul → | |
| dust2 | 10–13 | -0.04 | 19% | 10 Jul → | |
| nuke | 13–10 | 0.04 | 12% | 9 Jul → | |
| train | 13–11 | -0.04 | 31% | 9 Jul → | |
| overpass | 12–12 | 0.01 | 17% | 8 Jul → | |
| overpass | 5–13 | 0.14 | 15% | 6 Jul → | |
| train | 13–6 | 0.07 | 18% | 1 Jul → | |
| train | 9–13 | 0.09 | 11% | 30 Jun → | |
| train | 12–12 | 0.02 | 14% | 30 Jun → | |
| train | 13–8 | 0.02 | 20% | 28 Jun → | |
| alpine | 12–12 | -0.02 | 19% | 27 Jun → | |
| train | 8–13 | 0.04 | 25% | 24 Jun → | |
| cache | 13–7 | 0.06 | 18% | 24 Jun → | |
| train | 10–13 | -0.04 | 19% | 24 Jun → | |
| train | 9–13 | 0.07 | 16% | 24 Jun → | |
| train | 13–10 | 0.08 | 15% | 23 Jun → | |
| nuke | 13–9 | 0.20 | 15% | 20 Jun → | |
| cache | 8–13 | 0.09 | 18% | 19 Jun → | |
| train | 3–13 | -0.06 | 13% | 18 Jun → | |
| train | 13–3 | 0.04 | 29% | 17 Jun → | |
| train | 13–9 | -0.00 | 14% | 17 Jun → | |
| anubis | 13–8 | 0.08 | 11% | 17 Jun → | |
| train | 13–7 | 0.05 | 6% | 11 Jun → |
Match data via Leetify.