vlex — CS2 Stats
RO76561198146355845[U:1:186090117]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 55.7% | 41.4% | 44.2% | above |
| Shot accuracy | 8.4% | 9.0% | 11.6% | 3.2% short |
| Kill/death ratio | 0.82 | 0.97 | 1.03 | 0.21 short |
| Match win rate | 32.7% | 43.7% | 45.2% | 12.6% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Purple band 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Reaction time. 637ms 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 |
|---|---|---|---|---|---|
 dust2 | B | 29 | 15–14 | 52% | 0.02 |
 mirage | B | 22 | 10–12 | 45% | 0.01 |
 nuke | D | 21 | 7–14 | 33% | 0.01 |
 cache | D | 9 | 2–7 | 22% | 0.01 |
 ancient | C | 7 | 3–4 | 43% | 0.02 |
 anubis | D | 5 | 1–4 | 20% | 0.04 |
 inferno | — | 4 | 3–1 | 75% | 0.04 |
 overpass | — | 1 | 0–1 | 0% | -0.04 |
 train | — | 1 | 1–0 | 100% | 0.06 |
 vertigo | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% 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.
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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | -0.02 | 21% | 30 Aug → | |
| ancient | 13–8 | 0.01 | 25% | 28 Aug → | |
| dust2 | 2–13 | 0.04 | 18% | 28 Aug → | |
| cache | 7–13 | -0.04 | 17% | 26 Aug → | |
| nuke | 13–5 | 0.01 | 37% | 25 Aug → | |
| nuke | 5–13 | -0.00 | 35% | 20 Aug → | |
| mirage | 8–13 | -0.05 | 25% | 20 Aug → | |
| nuke | 13–11 | 0.00 | 15% | 19 Aug → | |
| dust2 | 7–13 | 0.07 | 34% | 17 Aug → | |
| mirage | 15–15 | -0.03 | 26% | 17 Aug → | |
| ancient | 5–13 | -0.00 | 32% | 16 Aug → | |
| cache | 4–13 | -0.06 | 40% | 16 Aug → | |
| mirage | 13–9 | -0.01 | 38% | 16 Aug → | |
| dust2 | 13–9 | 0.08 | 37% | 16 Aug → | |
| dust2 | 9–13 | -0.06 | 23% | 16 Aug → | |
| nuke | 13–5 | -0.01 | 30% | 15 Aug → | |
| cache | 9–13 | 0.11 | 26% | 14 Aug → | |
| nuke | 5–13 | -0.05 | 24% | 14 Aug → | |
| nuke | 8–13 | 0.04 | 27% | 14 Aug → | |
| mirage | 8–13 | 0.02 | 33% | 14 Aug → | |
| inferno | 13–3 | -0.05 | 26% | 14 Aug → | |
| cache | 13–6 | 0.03 | 23% | 14 Aug → | |
| overpass | 9–13 | -0.04 | 19% | 14 Aug → | |
| dust2 | 13–8 | 0.07 | 29% | 14 Aug → | |
| dust2 | 13–11 | -0.04 | 16% | 13 Aug → | |
| nuke | 13–5 | 0.07 | 31% | 12 Aug → | |
| dust2 | 13–8 | 0.00 | 28% | 11 Aug → | |
| mirage | 13–6 | 0.16 | 36% | 11 Aug → | |
| ancient | 13–11 | 0.05 | 20% | 11 Aug → | |
| nuke | 9–13 | -0.04 | 18% | 11 Aug → | |
| cache | 13–5 | 0.03 | 23% | 10 Aug → | |
| nuke | 14–16 | 0.02 | 25% | 10 Aug → | |
| mirage | 14–16 | 0.03 | 33% | 9 Aug → | |
| anubis | 3–13 | 0.03 | 31% | 9 Aug → | |
| nuke | 13–7 | -0.01 | 42% | 9 Aug → | |
| dust2 | 13–5 | 0.05 | 32% | 9 Aug → | |
| dust2 | 8–13 | -0.01 | 28% | 8 Aug → | |
| dust2 | 13–4 | 0.03 | 29% | 8 Aug → | |
| anubis | 11–13 | 0.04 | 30% | 8 Aug → | |
| dust2 | 10–13 | 0.06 | 37% | 6 Aug → | |
| inferno | 13–9 | 0.02 | 43% | 6 Aug → | |
| dust2 | 13–11 | 0.04 | 27% | 4 Aug → | |
| dust2 | 10–13 | -0.01 | 24% | 3 Aug → | |
| train | 13–3 | 0.06 | 34% | 3 Aug → | |
| mirage | 5–13 | -0.01 | 25% | 2 Aug → | |
| mirage | 13–5 | 0.02 | 23% | 2 Aug → | |
| mirage | 10–13 | -0.02 | 26% | 1 Aug → | |
| dust2 | 13–9 | 0.01 | 29% | 1 Aug → | |
| cache | 10–13 | 0.01 | 26% | 1 Aug → | |
| nuke | 5–13 | 0.05 | 41% | 1 Aug → | |
| mirage | 13–10 | 0.04 | 29% | 1 Aug → | |
| anubis | 7–13 | -0.02 | 18% | 25 Jul → | |
| ancient | 13–3 | 0.12 | 41% | 23 Jul → | |
| mirage | 13–2 | 0.03 | 30% | 21 Jul → | |
| cache | 8–13 | 0.02 | 25% | 19 Jul → | |
| dust2 | 10–13 | 0.08 | 23% | 19 Jul → | |
| nuke | 7–13 | -0.02 | 14% | 19 Jul → | |
| nuke | 8–13 | -0.07 | 26% | 19 Jul → | |
| nuke | 5–13 | 0.05 | 64% | 18 Jul → | |
| mirage | 8–13 | -0.03 | 45% | 18 Jul → | |
| dust2 | 13–8 | 0.03 | 20% | 18 Jul → | |
| mirage | 13–16 | 0.03 | 20% | 18 Jul → | |
| dust2 | 14–16 | -0.02 | 26% | 18 Jul → | |
| nuke | 13–3 | -0.02 | 31% | 17 Jul → | |
| cache | 9–13 | -0.01 | 25% | 17 Jul → | |
| dust2 | 13–6 | -0.06 | 20% | 17 Jul → | |
| dust2 | 6–13 | -0.04 | 35% | 17 Jul → | |
| ancient | 11–13 | -0.05 | 12% | 16 Jul → | |
| nuke | 10–13 | -0.04 | 41% | 16 Jul → | |
| mirage | 7–13 | -0.07 | 23% | 16 Jul → | |
| dust2 | 13–10 | -0.00 | 36% | 15 Jul → | |
| mirage | 13–4 | 0.04 | 15% | 15 Jul → | |
| mirage | 11–13 | -0.05 | 29% | 15 Jul → | |
| cache | 3–13 | -0.06 | 44% | 15 Jul → | |
| ancient | 4–13 | -0.02 | 19% | 15 Jul → | |
| dust2 | 2–13 | -0.03 | 25% | 15 Jul → | |
| dust2 | 13–11 | 0.09 | 32% | 15 Jul → | |
| nuke | 8–13 | -0.08 | 24% | 13 Jul → | |
| mirage | 13–2 | 0.00 | 35% | 13 Jul → | |
| mirage | 13–6 | -0.01 | 26% | 13 Jul → | |
| dust2 | 7–13 | -0.07 | 15% | 13 Jul → | |
| anubis | 13–6 | 0.02 | 32% | 13 Jul → | |
| dust2 | 2–13 | -0.01 | 14% | 10 Jul → | |
| nuke | 13–10 | -0.02 | 20% | 10 Jul → | |
| vertigo | 13–3 | 0.04 | 35% | 8 Jul → | |
| dust2 | 7–13 | 0.02 | 15% | 6 Jul → | |
| inferno | 11–13 | 0.05 | 39% | 6 Jul → | |
| mirage | 13–7 | 0.08 | 23% | 5 Jul → | |
| anubis | 13–16 | 0.12 | 19% | 5 Jul → | |
| mirage | 13–5 | 0.01 | 20% | 5 Jul → | |
| nuke | 11–13 | 0.02 | 27% | 5 Jul → | |
| dust2 | 13–2 | 0.09 | 23% | 5 Jul → | |
| ancient | 4–13 | -0.00 | 20% | 5 Jul → | |
| dust2 | 16–13 | 0.06 | 27% | 5 Jul → | |
| mirage | 10–13 | 0.04 | 30% | 5 Jul → | |
| nuke | 8–13 | 0.13 | 23% | 5 Jul → | |
| inferno | 13–6 | 0.14 | 30% | 5 Jul → | |
| dust2 | 13–8 | 0.05 | 16% | 5 Jul → | |
| dust2 | 8–13 | 0.01 | 17% | 4 Jul → | |
| nuke | 2–13 | 0.10 | 37% | 4 Jul → |
Match data via Leetify.