Urban — CS2 Stats
CD76561198256880904[U:1:296615176]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 1 among CSDB-tracked players (n=230), 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 1 median | Level 2 median | vs Level 2 |
|---|---|---|---|---|
| Headshot rate | 44.5% | 41.1% | 41.2% | above |
| Shot accuracy | 15.0% | 14.1% | 12.5% | above |
| Kill/death ratio | 0.95 | 0.97 | 0.96 | meets |
| Match win rate | 33.0% | 41.9% | 42.8% | 9.8% short |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 2 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 · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerHigh utility contribution
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 ZywOo 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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 59% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 609ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
 mirage | B | 27 | 13–14 | 48% | 0.00 |
 dust2 | A | 23 | 13–10 | 57% | 0.04 |
 cache | A | 14 | 9–5 | 64% | 0.04 |
 nuke | A | 8 | 5–3 | 63% | 0.04 |
 anubis | S | 7 | 5–2 | 71% | 0.02 |
 inferno | A | 7 | 4–3 | 57% | 0.07 |
 ancient | C | 5 | 2–3 | 40% | 0.00 |
 vertigo | — | 4 | 2–2 | 50% | 0.04 |
| office | — | 3 | 0–3 | 0% | 0.01 |
 train | — | 1 | 1–0 | 100% | 0.04 |
| italy | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (40% over 5). 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.
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 9–3 | 0.12 | 23% | 30 Aug → | |
| mirage | 12–12 | 0.02 | 18% | 30 Aug → | |
| dust2 | 13–6 | 0.03 | 26% | 30 Aug → | |
| anubis | 13–8 | 0.03 | 32% | 29 Aug → | |
| dust2 | 12–12 | 0.16 | 23% | 28 Aug → | |
| cache | 5–1 | 0.02 | 31% | 28 Aug → | |
| dust2 | 10–13 | 0.02 | 32% | 27 Aug → | |
| mirage | 13–9 | -0.03 | 10% | 24 Aug → | |
| inferno | 13–5 | 0.08 | 16% | 24 Aug → | |
| dust2 | 11–13 | 0.01 | 23% | 23 Aug → | |
| dust2 | 7–13 | 0.03 | 25% | 20 Aug → | |
| nuke | 11–13 | 0.08 | 28% | 19 Aug → | |
| train | 13–5 | 0.04 | 26% | 13 Aug → | |
| anubis | 13–9 | 0.04 | 33% | 11 Aug → | |
| inferno | 13–2 | 0.11 | 24% | 7 Aug → | |
| nuke | 9–13 | 0.04 | 20% | 7 Aug → | |
| inferno | 9–4 | 0.14 | 26% | 5 Aug → | |
| mirage | 3–13 | -0.07 | 9% | 4 Aug → | |
| nuke | 13–2 | 0.09 | 24% | 3 Aug → | |
| vertigo | 13–9 | 0.03 | 19% | 29 Jul → | |
| cache | 13–5 | 0.10 | 35% | 27 Jul → | |
| dust2 | 13–4 | 0.09 | 25% | 27 Jul → | |
| vertigo | 13–11 | 0.11 | 20% | 21 Jul → | |
| mirage | 13–4 | 0.02 | 21% | 20 Jul → | |
| dust2 | 7–13 | 0.04 | 21% | 20 Jul → | |
| cache | 13–5 | 0.13 | 17% | 18 Jul → | |
| inferno | 4–13 | -0.03 | 17% | 18 Jul → | |
| dust2 | 13–6 | 0.07 | 24% | 18 Jul → | |
| mirage | 8–13 | 0.02 | 31% | 18 Jul → | |
| nuke | 13–5 | 0.13 | 18% | 18 Jul → | |
| mirage | 10–13 | 0.02 | 28% | 18 Jul → | |
| cache | 13–9 | 0.08 | 29% | 15 Jul → | |
| mirage | 6–11 | -0.09 | 13% | 14 Jul → | |
| mirage | 13–8 | 0.01 | 22% | 7 Jul → | |
| cache | 11–13 | -0.01 | 17% | 6 Jul → | |
| cache | 3–13 | -0.05 | 16% | 6 Jul → | |
| cache | 13–9 | 0.06 | 9% | 5 Jul → | |
| dust2 | 13–8 | 0.01 | 12% | 5 Jul → | |
| cache | 12–12 | 0.07 | 24% | 1 Jul → | |
| dust2 | 13–6 | -0.02 | 20% | 26 Jun → | |
| mirage | 12–12 | 0.06 | 18% | 26 Jun → | |
| cache | 13–8 | 0.00 | 19% | 24 Jun → | |
| dust2 | 13–8 | 0.07 | 32% | 23 Jun → | |
| mirage | 13–10 | 0.02 | 17% | 23 Jun → | |
| dust2 | 13–6 | 0.08 | 31% | 22 Jun → | |
| dust2 | 3–13 | -0.01 | 19% | 16 Jun → | |
| dust2 | 6–13 | -0.02 | 31% | 16 Jun → | |
| nuke | 13–6 | 0.06 | 25% | 15 Jun → | |
| mirage | 6–13 | -0.05 | 31% | 15 Jun → | |
| ancient | 2–13 | -0.07 | 14% | 10 Jun → | |
| mirage | 13–8 | 0.00 | 21% | 4 Jun → | |
| vertigo | 10–13 | 0.03 | 14% | 4 Jun → | |
| mirage | 13–11 | 0.01 | 39% | 2 Jun → | |
| dust2 | 12–12 | 0.06 | 37% | 30 May → | |
| anubis | 9–13 | 0.03 | 21% | 28 May → | |
| inferno | 7–13 | 0.03 | 25% | 25 May → | |
| dust2 | 13–2 | 0.11 | 22% | 23 May → | |
| cache | 13–5 | -0.02 | 9% | 14 May → | |
| cache | 13–8 | -0.00 | 29% | 9 May → | |
| mirage | 3–13 | -0.05 | 28% | 8 May → | |
| nuke | 4–13 | -0.05 | 38% | 8 May → | |
| cache | 10–13 | 0.01 | 16% | 7 May → | |
| dust2 | 13–8 | -0.02 | 18% | 6 May → | |
| anubis | 13–8 | 0.03 | 27% | 5 May → | |
| dust2 | 13–5 | 0.03 | 30% | 29 Apr → | |
| cache | 13–8 | 0.04 | 24% | 29 Apr → | |
| mirage | 13–9 | 0.03 | 25% | 25 Apr → | |
| dust2 | 13–8 | 0.04 | 33% | 21 Apr → | |
| ancient | 16–12 | 0.07 | 14% | 15 Apr → | |
| ancient | 13–11 | 0.01 | 19% | 13 Apr → | |
| office | 9–13 | 0.00 | 16% | 9 Apr → | |
| vertigo | 9–13 | 0.01 | 15% | 9 Apr → | |
| mirage | 8–13 | -0.03 | 15% | 7 Apr → | |
| italy | 9–13 | -0.02 | 28% | 6 Apr → | |
| anubis | 13–1 | 0.07 | 31% | 6 Apr → | |
| inferno | 2–0 | 0.04 | 33% | 6 Apr → | |
| nuke | 13–4 | -0.03 | 39% | 5 Apr → | |
| anubis | 10–1 | 0.06 | 17% | 5 Apr → | |
| mirage | 13–2 | 0.04 | 19% | 5 Apr → | |
| mirage | 13–0 | 0.05 | 38% | 2 Apr → | |
| mirage | 12–12 | -0.02 | 22% | 1 Apr → | |
| mirage | 5–13 | 0.02 | 28% | 1 Apr → | |
| ancient | 6–13 | 0.01 | 20% | 31 Mar → | |
| mirage | 13–8 | 0.07 | 18% | 30 Mar → | |
| inferno | 11–13 | 0.11 | 16% | 27 Mar → | |
| office | 9–13 | -0.00 | 25% | 27 Mar → | |
| dust2 | 6–13 | -0.04 | 24% | 27 Mar → | |
| mirage | 13–8 | -0.03 | 11% | 27 Mar → | |
| mirage | 7–13 | -0.04 | 16% | 25 Mar → | |
| dust2 | 13–10 | 0.03 | 17% | 20 Mar → | |
| ancient | 15–15 | -0.00 | 16% | 20 Mar → | |
| office | 4–13 | 0.03 | 17% | 19 Mar → | |
| nuke | 13–10 | -0.02 | 18% | 17 Mar → | |
| dust2 | 13–3 | 0.04 | 25% | 17 Mar → | |
| mirage | 13–7 | 0.05 | 22% | 16 Mar → | |
| mirage | 13–6 | 0.00 | 12% | 14 Mar → | |
| mirage | 7–13 | 0.05 | 25% | 14 Mar → | |
| dust2 | 7–13 | 0.01 | 24% | 13 Mar → | |
| mirage | 12–12 | 0.01 | 22% | 13 Mar → | |
| anubis | 8–13 | -0.09 | 13% | 8 Mar → |
Match data via Leetify.
