kurwaa — CS2 Stats
BT76561198229420580[U:1:269154852]Steam profile ↗✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 55.3% | 52.8% | above |
| Shot accuracy | 11.6% | 13.7% | 2.1% short |
| Kill/death ratio | 0.96 | 1.08 | 0.12 short |
| Match win rate | 45.6% | 49.2% | 3.6% short |
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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 551ms 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 7.9/10 (Strong), 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 |
|---|---|---|---|---|---|
 ancient | A | 19 | 11–8 | 58% | 0.03 |
 anubis | A | 13 | 8–5 | 62% | 0.05 |
 nuke | A | 12 | 7–5 | 58% | 0.02 |
 cache | A | 11 | 6–5 | 55% | 0.01 |
 mirage | S | 9 | 6–3 | 67% | 0.01 |
 overpass | B | 8 | 4–4 | 50% | 0.01 |
 inferno | A | 8 | 5–3 | 63% | 0.03 |
 train | B | 8 | 4–4 | 50% | 0.06 |
 dust2 | D | 7 | 2–5 | 29% | 0.02 |
| eldorado | — | 1 | 0–1 | 0% | -0.01 |
| debris | — | 1 | 0–1 | 0% | 0.03 |
| poseidon | — | 1 | 1–0 | 100% | 0.05 |
 vertigo | — | 1 | 0–1 | 0% | 0.02 |
| fachwerk | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 332 | 52% | 1.12 | 16.5 |
| Anubis | 290 | 49% | 1.13 | 16.3 |
| Mirage | 155 | 45% | 1.02 | 16.1 |
| Nuke | 152 | 45% | 1.15 | 16.7 |
| Inferno | 94 | 51% | 1.13 | 15.6 |
| Overpass | 89 | 52% | 1.08 | 15.9 |
| Vertigo | 85 | 55% | 1.14 | 17.0 |
| Dust2 | 27 | 59% | 0.95 | 14.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–8 | 0.01 | 26% | 27 Aug → | |
| mirage | 13–9 | 0.06 | 15% | 27 Aug → | |
| ancient | 13–7 | 0.06 | 15% | 27 Aug → | |
| cache | 9–13 | 0.00 | 25% | 25 Aug → | |
| ancient | 13–4 | 0.08 | 25% | 25 Aug → | |
| ancient | 10–13 | -0.03 | 13% | 25 Aug → | |
| dust2 | 16–12 | -0.02 | 18% | 24 Aug → | |
| dust2 | 8–13 | -0.08 | 25% | 23 Aug → | |
| cache | 13–5 | 0.03 | 24% | 23 Aug → | |
| overpass | 6–13 | 0.00 | 31% | 22 Aug → | |
| inferno | 13–8 | 0.03 | 20% | 22 Aug → | |
| mirage | 13–7 | 0.08 | 23% | 22 Aug → | |
| nuke | 19–15 | 0.01 | 24% | 22 Aug → | |
| cache | 9–13 | -0.05 | 18% | 22 Aug → | |
| dust2 | 12–12 | 0.08 | 15% | 22 Aug → | |
| ancient | 13–6 | 0.12 | 34% | 22 Aug → | |
| anubis | 22–19 | 0.02 | 23% | 20 Aug → | |
| inferno | 13–5 | 0.04 | 33% | 20 Aug → | |
| ancient | 13–11 | 0.06 | 28% | 19 Aug → | |
| dust2 | 13–10 | 0.06 | 20% | 18 Aug → | |
| ancient | 13–11 | 0.07 | 17% | 18 Aug → | |
| ancient | 13–6 | 0.06 | 29% | 18 Aug → | |
| eldorado | 5–9 | -0.01 | 30% | 17 Aug → | |
| debris | 7–9 | 0.03 | 28% | 17 Aug → | |
| ancient | 13–9 | 0.03 | 16% | 16 Aug → | |
| nuke | 3–13 | -0.03 | 22% | 16 Aug → | |
| ancient | 13–10 | -0.03 | 14% | 16 Aug → | |
| train | 5–13 | -0.02 | 26% | 15 Aug → | |
| train | 13–7 | 0.02 | 59% | 15 Aug → | |
| dust2 | 10–13 | 0.06 | 25% | 15 Aug → | |
| poseidon | 9–6 | 0.05 | 27% | 15 Aug → | |
| nuke | 9–3 | 0.23 | 41% | 15 Aug → | |
| inferno | 8–8 | 0.01 | 24% | 15 Aug → | |
| anubis | 13–1 | 0.18 | 32% | 14 Aug → | |
| mirage | 13–8 | -0.04 | 42% | 14 Aug → | |
| cache | 13–5 | -0.02 | 16% | 14 Aug → | |
| cache | 13–11 | -0.00 | 26% | 14 Aug → | |
| nuke | 13–10 | 0.04 | 22% | 14 Aug → | |
| cache | 13–5 | 0.09 | 23% | 13 Aug → | |
| vertigo | 9–13 | 0.02 | 23% | 13 Aug → | |
| fachwerk | 4–13 | -0.01 | 32% | 13 Aug → | |
| mirage | 5–13 | 0.03 | 33% | 13 Aug → | |
| ancient | 7–13 | -0.01 | 9% | 13 Aug → | |
| inferno | 7–9 | -0.00 | 22% | 13 Aug → | |
| ancient | 7–13 | 0.01 | 26% | 13 Aug → | |
| ancient | 13–11 | 0.05 | 22% | 11 Aug → | |
| anubis | 13–11 | -0.02 | 22% | 2 Aug → | |
| cache | 13–4 | 0.01 | 31% | 25 Jul → | |
| nuke | 13–6 | 0.03 | 24% | 25 Jul → | |
| anubis | 7–13 | -0.06 | 17% | 25 Jul → | |
| overpass | 13–11 | -0.00 | 48% | 6 Jul → | |
| anubis | 13–3 | 0.23 | 33% | 5 Jul → | |
| overpass | 8–13 | 0.01 | 31% | 5 Jul → | |
| overpass | 14–16 | -0.03 | 28% | 5 Jul → | |
| cache | 6–13 | -0.06 | 34% | 4 Jul → | |
| cache | 13–6 | 0.08 | 36% | 4 Jul → | |
| cache | 3–13 | 0.02 | 18% | 2 Jul → | |
| inferno | 13–9 | 0.08 | 32% | 2 Jul → | |
| anubis | 13–7 | -0.01 | 15% | 2 Jul → | |
| overpass | 13–11 | -0.03 | 31% | 30 Jun → | |
| nuke | 13–7 | 0.06 | 25% | 30 Jun → | |
| train | 13–4 | 0.11 | 48% | 30 Jun → | |
| overpass | 13–10 | 0.03 | 23% | 28 Jun → | |
| dust2 | 4–13 | 0.02 | 28% | 28 Jun → | |
| cache | 2–13 | -0.03 | 17% | 28 Jun → | |
| anubis | 14–16 | -0.02 | 22% | 28 Jun → | |
| nuke | 9–13 | -0.03 | 25% | 27 Jun → | |
| mirage | 13–6 | -0.03 | 25% | 27 Jun → | |
| ancient | 9–13 | -0.03 | 29% | 27 Jun → | |
| inferno | 13–6 | 0.03 | 30% | 24 Jun → | |
| nuke | 9–13 | -0.01 | 23% | 24 Jun → | |
| inferno | 5–7 | 0.11 | 39% | 24 Jun → | |
| ancient | 5–13 | 0.02 | 25% | 24 Jun → | |
| ancient | 13–7 | -0.00 | 31% | 24 Jun → | |
| nuke | 13–10 | -0.05 | 18% | 24 Jun → | |
| mirage | 13–8 | 0.02 | 18% | 22 Jun → | |
| overpass | 13–7 | 0.05 | 39% | 22 Jun → | |
| anubis | 7–13 | 0.06 | 24% | 22 Jun → | |
| dust2 | 12–12 | -0.01 | 16% | 21 Jun → | |
| train | 13–8 | 0.11 | 37% | 21 Jun → | |
| train | 10–13 | 0.06 | 40% | 21 Jun → | |
| anubis | 10–13 | 0.02 | 20% | 20 Jun → | |
| anubis | 13–6 | 0.13 | 24% | 20 Jun → | |
| mirage | 3–8 | -0.05 | 5% | 18 Jun → | |
| train | 13–9 | 0.17 | 26% | 17 Jun → | |
| train | 5–13 | 0.01 | 26% | 17 Jun → | |
| train | 11–13 | 0.02 | 41% | 17 Jun → | |
| ancient | 5–13 | 0.01 | 23% | 16 Jun → | |
| overpass | 5–13 | 0.03 | 46% | 16 Jun → | |
| anubis | 13–11 | 0.01 | 16% | 16 Jun → | |
| ancient | 6–13 | 0.01 | 40% | 16 Jun → | |
| inferno | 13–9 | -0.02 | 32% | 14 Jun → | |
| anubis | 2–13 | 0.02 | 13% | 14 Jun → | |
| ancient | 13–11 | 0.07 | 26% | 14 Jun → | |
| anubis | 13–11 | 0.07 | 25% | 14 Jun → | |
| nuke | 6–13 | -0.01 | 26% | 14 Jun → | |
| mirage | 17–19 | -0.00 | 13% | 13 Jun → | |
| mirage | 16–13 | 0.01 | 11% | 13 Jun → | |
| ancient | 6–13 | 0.01 | 16% | 13 Jun → | |
| nuke | 2–13 | -0.01 | 44% | 13 Jun → |
Match data via Leetify.
