la3euka — CS2 Stats
76561198087510793[U:1:127245065]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 68.4% | 52.0% |
| Shot accuracy | 17.1% | 13.7% |
| Kill/death ratio | 1.02 | 1.08 |
| Match win rate | 50.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 Twistzz 94% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Utility. Utility score of 77 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 53% on CT to 33% 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 7.3/10 (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 |
|---|---|---|---|---|---|
| D | 30 | 8–22 | 27% | -0.00 | |
| S | 22 | 17–5 | 77% | 0.02 | |
| B | 19 | 9–10 | 47% | 0.03 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 3 | 1–2 | 33% | 0.08 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| office | — | 1 | 0–1 | 0% | 0.10 |
| — | 1 | 0–1 | 0% | 0.12 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 30). Start with the 6 essential Mirage 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1749 | 52% | 1.30 | 18.3 |
| Dust2 | 935 | 53% | 1.24 | 17.5 |
| Ancient | 840 | 59% | 1.23 | 17.9 |
| Nuke | 400 | 53% | 1.27 | 17.4 |
| Anubis | 260 | 52% | 1.16 | 16.6 |
| Train | 173 | 53% | 1.26 | 17.8 |
| Vertigo | 97 | 49% | 1.17 | 15.9 |
| Inferno | 79 | 57% | 1.46 | 17.5 |
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 33.048% — 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.
27% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.05 | 29% | 21 Aug → | ||
| 14–16 | -0.04 | 29% | 20 Aug → | ||
| 13–7 | 0.01 | 33% | 6 Aug → | ||
| 13–16 | -0.02 | 20% | 6 Aug → | ||
| 16–14 | -0.02 | 22% | 17 Jul → | ||
| 14–16 | 0.00 | 14% | 17 Jul → | ||
| 12–16 | -0.02 | 12% | 17 Jul → | ||
| 13–5 | -0.02 | 8% | 17 Jul → | ||
| 13–3 | 0.02 | 18% | 17 Jul → | ||
| 13–11 | -0.01 | 33% | 11 Jul → | ||
| 10–13 | 0.13 | 24% | 8 Jul → | ||
| 13–8 | 0.07 | 27% | 28 Jun → | ||
| 13–6 | 0.04 | 21% | 26 Jun → | ||
| 13–4 | 0.03 | 10% | 25 Jun → | ||
| 8–13 | 0.02 | 18% | 15 Jun → | ||
| 13–8 | 0.00 | 23% | 15 Jun → | ||
| 9–13 | -0.01 | 17% | 15 Jun → | ||
| 13–10 | -0.02 | 29% | 12 Jun → | ||
| 13–5 | 0.04 | 22% | 12 Jun → | ||
| 10–13 | -0.05 | 15% | 10 Jun → | ||
| 13–4 | 0.00 | 26% | 10 Jun → | ||
| 13–7 | 0.08 | 26% | 10 Jun → | ||
| 13–11 | 0.01 | 25% | 3 Jun → | ||
| 10–13 | -0.00 | 18% | 3 Jun → | ||
| 6–13 | -0.02 | 14% | 3 Jun → | ||
| 13–8 | 0.04 | 23% | 2 Jun → | ||
| 13–11 | -0.02 | 39% | 2 Jun → | ||
| 9–13 | 0.04 | 21% | 30 May → | ||
| 7–13 | 0.01 | 9% | 26 May → | ||
| 13–16 | -0.01 | 21% | 7 May → | ||
| 6–13 | -0.04 | 28% | 7 May → | ||
| 16–13 | -0.02 | 22% | 4 May → | ||
| 11–13 | -0.02 | 22% | 4 May → | ||
| 14–16 | 0.03 | 23% | 2 May → | ||
| 13–9 | 0.05 | 29% | 1 May → | ||
| 7–13 | 0.08 | 21% | 1 May → | ||
| 13–4 | 0.03 | 17% | 2 Apr → | ||
| 13–16 | 0.02 | 32% | 2 Apr → | ||
| 8–0 | -0.04 | 31% | 2 Apr → | ||
| 13–8 | -0.00 | 24% | 8 Mar → | ||
| 11–13 | 0.01 | 29% | 1 Mar → | ||
| 5–13 | -0.00 | 16% | 1 Mar → | ||
| 9–13 | 0.01 | 18% | 22 Feb → | ||
| 10–13 | -0.04 | 16% | 22 Feb → | ||
| 8–13 | 0.01 | 19% | 20 Feb → | ||
| 8–13 | -0.03 | 27% | 13 Feb → | ||
| 12–12 | 0.04 | 25% | 13 Feb → | ||
| 10–13 | 0.07 | 26% | 10 Feb → | ||
| 13–10 | 0.11 | 26% | 5 Feb → | ||
| 7–13 | -0.03 | 22% | 31 Jan → | ||
| 10–13 | 0.09 | 23% | 29 Jan → | ||
| 11–13 | -0.04 | 31% | 28 Jan → | ||
| 11–13 | 0.02 | 15% | 24 Jan → | ||
| 13–3 | 0.06 | 39% | 21 Jan → | ||
| 5–13 | -0.02 | 16% | 19 Jan → | ||
| 13–7 | 0.12 | 35% | 19 Nov → | ||
| office | 8–13 | 0.10 | 31% | 19 Nov → | |
| 12–12 | 0.16 | 25% | 9 Nov → | ||
| 13–3 | 0.16 | 25% | 25 Oct → | ||
| 13–10 | 0.12 | 33% | 25 Oct → | ||
| 4–13 | -0.12 | 8% | 22 Oct → | ||
| 13–8 | 0.01 | 10% | 3 Sept → | ||
| 9–13 | -0.03 | 15% | 3 Sept → | ||
| 7–13 | -0.01 | 18% | 3 Sept → | ||
| 13–7 | 0.03 | 24% | 31 Aug → | ||
| 9–13 | -0.05 | 31% | 10 Jul → | ||
| 16–13 | -0.00 | 12% | 9 Jul → | ||
| 13–5 | 0.05 | 33% | 14 Jun → | ||
| 11–13 | -0.02 | 28% | 20 May → | ||
| 13–6 | 0.06 | 27% | 4 Apr → | ||
| 13–6 | 0.03 | 26% | 1 Apr → | ||
| 13–6 | 0.02 | 19% | 10 Mar → | ||
| 11–13 | -0.04 | 24% | 10 Mar → | ||
| 5–13 | 0.00 | 32% | 20 Feb → | ||
| 16–12 | 0.02 | 29% | 16 Feb → | ||
| 13–11 | -0.00 | 31% | 13 Feb → | ||
| 9–13 | -0.02 | 32% | 2 Feb → | ||
| 9–13 | 0.01 | 19% | 1 Feb → | ||
| 13–8 | -0.00 | 31% | 27 Dec → | ||
| 13–9 | -0.04 | 22% | 2 Dec → | ||
| 12–12 | 0.12 | 29% | 14 Nov → | ||
| 4–13 | -0.05 | 17% | 13 Nov → | ||
| 6–9 | 0.02 | 25% | 9 Nov → | ||
| 13–0 | -0.04 | 28% | 9 Nov → | ||
| 5–13 | -0.06 | 20% | 31 Oct → | ||
| 13–8 | 0.07 | 30% | 26 Oct → | ||
| 19–15 | 0.06 | 22% | 18 Oct → | ||
| 13–11 | 0.03 | 21% | 17 Oct → | ||
| 5–13 | 0.02 | 33% | 8 Oct → | ||
| 13–4 | 0.14 | 27% | 12 Sept → | ||
| 10–13 | -0.06 | 8% | 24 Aug → | ||
| 16–14 | 0.04 | 22% | 15 Jul → | ||
| 11–13 | 0.04 | 21% | 7 May → | ||
| 6–13 | -0.05 | 39% | 7 May → | ||
| 13–8 | 0.03 | 33% | 6 May → | ||
| 13–11 | 0.01 | 22% | 6 May → | ||
| 16–14 | -0.00 | 36% | 6 May → | ||
| 7–13 | 0.00 | 36% | 5 May → | ||
| 4–13 | 0.01 | 21% | 4 May → | ||
| 5–13 | -0.03 | 26% | 4 May → |
Match data via Leetify.