ValeK37 — CS2 Stats
76561198323813442[U:1:363547714]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 53.9% | 51.9% |
| Shot accuracy | 13.3% | 13.7% |
| Kill/death ratio | 1.13 | 1.08 |
| Match win rate | 52.3% | 48.7% |
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: -10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 jL 96% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 90 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 30% 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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | 0.04 | |
| C | 24 | 10–14 | 42% | 0.03 | |
| C | 24 | 10–14 | 42% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.05 | |
| S | 8 | 6–2 | 75% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.07 | |
| — | 1 | 0–1 | 0% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (42% over 24). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 874 | 53% | 1.42 | 19.0 |
| Ancient | 685 | 50% | 1.31 | 18.7 |
| Dust2 | 503 | 54% | 1.33 | 18.3 |
| Inferno | 288 | 56% | 1.48 | 18.8 |
| Anubis | 269 | 55% | 1.23 | 17.7 |
| Vertigo | 48 | 42% | 1.14 | 16.9 |
| Overpass | 24 | 38% | 1.06 | 16.1 |
| Train | 22 | 41% | 1.25 | 16.1 |
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.
- 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 30.0304% — 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.
42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.05 | 23% | 17 Aug → | ||
| 13–5 | 0.02 | 36% | 10 Aug → | ||
| 13–10 | 0.03 | 13% | 7 Aug → | ||
| 13–11 | 0.03 | 22% | 5 Aug → | ||
| 10–13 | -0.02 | 17% | 4 Aug → | ||
| 4–13 | 0.06 | 29% | 27 Jul → | ||
| 2–13 | 0.03 | 21% | 25 Jul → | ||
| 11–13 | 0.05 | 25% | 19 Jul → | ||
| 9–13 | -0.04 | 29% | 17 Jul → | ||
| 13–2 | 0.07 | 23% | 12 Jul → | ||
| 10–13 | 0.09 | 28% | 23 Jun → | ||
| 15–15 | 0.18 | 25% | 19 Jun → | ||
| 6–3 | 0.03 | 11% | 19 Jun → | ||
| 13–6 | 0.04 | 22% | 18 Jun → | ||
| 13–5 | 0.09 | 32% | 18 Jun → | ||
| 13–5 | 0.12 | 26% | 18 Jun → | ||
| 14–16 | -0.01 | 32% | 4 Jun → | ||
| 6–13 | -0.05 | 18% | 22 May → | ||
| 13–5 | 0.11 | 32% | 20 May → | ||
| 9–13 | 0.07 | 29% | 20 May → | ||
| 12–12 | 0.09 | 20% | 20 May → | ||
| 13–10 | 0.08 | 20% | 18 May → | ||
| 10–13 | -0.00 | 17% | 18 May → | ||
| 13–8 | 0.05 | 20% | 11 May → | ||
| 7–13 | 0.00 | 25% | 29 Apr → | ||
| 8–13 | 0.02 | 28% | 17 Apr → | ||
| 14–16 | 0.09 | 26% | 7 Apr → | ||
| 9–13 | 0.08 | 18% | 27 Mar → | ||
| 16–14 | -0.04 | 16% | 26 Mar → | ||
| 10–13 | 0.00 | 19% | 18 Mar → | ||
| 11–13 | -0.02 | 30% | 16 Mar → | ||
| 8–13 | 0.02 | 30% | 12 Mar → | ||
| 10–13 | 0.02 | 16% | 7 Mar → | ||
| 16–19 | 0.01 | 24% | 5 Mar → | ||
| 19–15 | -0.03 | 31% | 18 Feb → | ||
| 8–13 | 0.09 | 24% | 13 Feb → | ||
| 13–6 | 0.04 | 36% | 11 Feb → | ||
| 13–5 | 0.06 | 13% | 8 Feb → | ||
| 13–8 | 0.02 | 23% | 8 Feb → | ||
| 5–13 | -0.10 | 22% | 4 Feb → | ||
| 7–13 | 0.08 | 38% | 26 Jan → | ||
| 11–13 | 0.06 | 36% | 23 Jan → | ||
| 10–13 | 0.09 | 27% | 23 Jan → | ||
| 7–13 | 0.04 | 38% | 19 Jan → | ||
| 12–16 | 0.05 | 27% | 4 Jan → | ||
| 7–13 | 0.02 | 24% | 29 Dec → | ||
| 13–9 | 0.02 | 24% | 19 Dec → | ||
| 11–13 | -0.04 | 19% | 6 Dec → | ||
| 13–10 | 0.02 | 31% | 26 Nov → | ||
| 8–13 | -0.01 | 29% | 17 Oct → | ||
| 13–10 | 0.09 | 23% | 9 Oct → | ||
| 13–9 | 0.04 | 21% | 17 Sept → | ||
| 10–13 | -0.03 | 39% | 17 Sept → | ||
| 7–13 | 0.05 | 33% | 10 Sept → | ||
| 13–6 | 0.07 | 49% | 10 Sept → | ||
| 13–9 | 0.09 | 26% | 19 Aug → | ||
| 13–9 | 0.03 | 26% | 19 Aug → | ||
| 5–13 | 0.08 | 24% | 18 Aug → | ||
| 13–3 | 0.10 | 32% | 18 Aug → | ||
| 10–13 | 0.03 | 29% | 18 Aug → | ||
| 0–13 | -0.07 | 23% | 18 Aug → | ||
| 12–12 | -0.01 | 26% | 18 Aug → | ||
| 12–12 | 0.06 | 37% | 29 Jul → | ||
| 10–13 | -0.05 | 22% | 16 Jul → | ||
| 11–13 | 0.02 | 28% | 14 Jul → | ||
| 13–11 | 0.03 | 23% | 11 Jul → | ||
| 13–8 | 0.02 | 30% | 10 Jul → | ||
| 13–3 | 0.15 | 20% | 1 Jul → | ||
| 10–13 | 0.08 | 26% | 29 Jun → | ||
| 13–3 | 0.08 | 30% | 29 Jun → | ||
| 10–13 | 0.05 | 25% | 5 Jun → | ||
| 13–2 | 0.13 | 42% | 4 Jun → | ||
| 4–13 | -0.02 | 23% | 1 Jun → | ||
| 13–9 | 0.04 | 24% | 31 May → | ||
| 13–10 | 0.03 | 36% | 28 May → | ||
| 9–13 | -0.03 | 38% | 30 Apr → | ||
| 13–7 | 0.02 | 30% | 29 Apr → | ||
| 13–8 | 0.09 | 18% | 22 Apr → | ||
| 13–3 | 0.10 | 22% | 4 Apr → | ||
| 13–8 | 0.04 | 21% | 28 Mar → | ||
| 13–10 | 0.01 | 28% | 24 Mar → | ||
| 13–11 | -0.02 | 29% | 16 Mar → | ||
| 6–13 | -0.02 | 22% | 7 Mar → | ||
| 9–13 | -0.02 | 31% | 16 Feb → | ||
| 13–2 | 0.09 | 33% | 15 Feb → | ||
| 4–13 | -0.01 | 17% | 11 Feb → | ||
| 6–13 | -0.06 | 20% | 7 Feb → | ||
| 13–6 | -0.06 | 23% | 7 Feb → | ||
| 13–2 | 0.08 | 28% | 7 Feb → | ||
| 6–13 | 0.03 | 23% | 4 Feb → | ||
| 13–8 | -0.00 | 38% | 4 Jan → | ||
| 13–10 | 0.03 | 21% | 2 Jan → | ||
| 13–11 | 0.04 | 35% | 2 Jan → | ||
| 13–9 | 0.01 | 30% | 27 Dec → | ||
| 13–3 | 0.02 | 15% | 20 Dec → | ||
| 6–13 | -0.05 | 24% | 14 Dec → | ||
| 13–4 | 0.09 | 31% | 11 Dec → | ||
| 19–17 | 0.04 | 29% | 9 Dec → | ||
| 14–16 | -0.03 | 21% | 7 Dec → | ||
| 8–13 | -0.06 | 21% | 5 Dec → |
Match data via Leetify.