LEXXP — CS2 Stats
76561198162813218[U:1:202547490]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong 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 sh1ro 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 67% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 560ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 35 | 18–17 | 51% | 0.04 | |
| A | 32 | 18–14 | 56% | 0.04 | |
| C | 14 | 5–9 | 36% | 0.05 | |
| D | 6 | 1–5 | 17% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.04 | |
| italy | — | 1 | 1–0 | 100% | 0.10 |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 423 | 54% | 1.21 | 17.8 |
| Ancient | 176 | 46% | 1.07 | 16.4 |
| Anubis | 139 | 50% | 1.12 | 16.6 |
| Dust2 | 128 | 54% | 1.13 | 17.8 |
| Vertigo | 86 | 48% | 1.30 | 18.6 |
| Inferno | 83 | 57% | 1.20 | 18.0 |
| Nuke | 81 | 47% | 1.17 | 17.8 |
| Overpass | 12 | 50% | 1.21 | 18.4 |
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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.04 | 21% | 26 Aug → | ||
| 16–13 | 0.02 | 22% | 23 Aug → | ||
| 13–7 | 0.08 | 25% | 17 Aug → | ||
| 16–14 | 0.00 | 22% | 14 Aug → | ||
| 13–3 | 0.00 | 15% | 14 Aug → | ||
| 9–13 | 0.01 | 26% | 14 Aug → | ||
| 16–14 | 0.14 | 21% | 30 Jul → | ||
| 5–13 | 0.05 | 16% | 30 Jul → | ||
| 6–13 | -0.09 | 17% | 30 Jul → | ||
| 10–13 | 0.09 | 24% | 15 Jul → | ||
| 13–3 | 0.14 | 18% | 10 Jul → | ||
| 0–13 | -0.08 | 15% | 10 Jul → | ||
| 9–13 | 0.01 | 19% | 9 Jul → | ||
| 13–8 | 0.04 | 19% | 4 Jul → | ||
| 9–13 | 0.05 | 15% | 4 Jul → | ||
| 13–11 | 0.00 | 16% | 3 Jul → | ||
| 0–3 | -0.04 | 17% | 3 Jul → | ||
| 0–5 | -0.07 | 0% | 27 Jun → | ||
| 13–8 | 0.01 | 13% | 21 Jun → | ||
| 13–3 | 0.11 | 19% | 21 Jun → | ||
| italy | 13–3 | 0.10 | 41% | 21 Jun → | |
| 13–3 | 0.09 | 30% | 7 Jun → | ||
| 5–13 | -0.04 | 14% | 4 Jun → | ||
| 9–13 | -0.02 | 6% | 4 Jun → | ||
| 13–3 | 0.10 | 36% | 4 Jun → | ||
| 10–13 | 0.00 | 20% | 4 Jun → | ||
| 13–9 | 0.03 | 21% | 26 May → | ||
| 8–13 | -0.01 | 25% | 26 May → | ||
| 6–13 | -0.07 | 19% | 22 May → | ||
| 13–8 | 0.06 | 15% | 17 May → | ||
| 13–11 | 0.06 | 17% | 11 May → | ||
| 13–5 | 0.03 | 18% | 2 May → | ||
| 13–11 | 0.03 | 21% | 2 May → | ||
| 5–13 | 0.01 | 31% | 25 Apr → | ||
| 15–15 | -0.01 | 9% | 12 Apr → | ||
| 3–10 | -0.07 | 12% | 1 Apr → | ||
| 2–5 | 0.06 | 45% | 28 Mar → | ||
| 13–1 | 0.03 | 26% | 28 Mar → | ||
| 13–1 | 0.16 | 32% | 28 Mar → | ||
| 13–11 | 0.09 | 15% | 25 Mar → | ||
| 6–13 | -0.01 | 19% | 25 Mar → | ||
| 13–8 | -0.01 | 29% | 18 Mar → | ||
| 2–13 | 0.08 | 29% | 15 Mar → | ||
| 16–13 | 0.00 | 19% | 11 Mar → | ||
| 5–13 | 0.03 | 21% | 9 Mar → | ||
| 13–10 | 0.13 | 13% | 2 Mar → | ||
| 7–13 | 0.02 | 31% | 24 Feb → | ||
| 7–13 | -0.05 | 23% | 24 Feb → | ||
| 14–16 | 0.05 | 14% | 24 Feb → | ||
| 6–13 | -0.04 | 14% | 23 Feb → | ||
| 3–13 | 0.10 | 18% | 18 Feb → | ||
| 4–13 | 0.10 | 16% | 18 Feb → | ||
| 4–13 | 0.03 | 23% | 18 Feb → | ||
| 13–2 | 0.06 | 21% | 15 Feb → | ||
| 13–10 | 0.07 | 20% | 15 Feb → | ||
| 13–3 | 0.02 | 26% | 15 Feb → | ||
| 2–13 | -0.00 | 19% | 13 Feb → | ||
| 6–13 | 0.07 | 19% | 10 Feb → | ||
| 3–13 | 0.12 | 18% | 10 Feb → | ||
| 5–13 | -0.03 | 24% | 9 Feb → | ||
| 13–9 | 0.05 | 23% | 9 Feb → | ||
| 13–3 | 0.08 | 23% | 9 Feb → | ||
| 10–13 | 0.15 | 23% | 9 Feb → | ||
| 6–13 | 0.03 | 24% | 8 Feb → | ||
| 8–13 | 0.11 | 20% | 8 Feb → | ||
| 16–13 | 0.08 | 18% | 6 Feb → | ||
| 13–7 | 0.03 | 20% | 6 Feb → | ||
| 1–13 | -0.01 | 18% | 3 Feb → | ||
| 2–13 | 0.05 | 33% | 3 Feb → | ||
| 14–16 | 0.01 | 15% | 2 Feb → | ||
| 13–8 | 0.18 | 18% | 1 Feb → | ||
| 4–13 | 0.12 | 11% | 29 Jan → | ||
| 10–13 | 0.04 | 19% | 28 Jan → | ||
| 11–13 | 0.04 | 14% | 28 Jan → | ||
| 8–13 | -0.04 | 13% | 28 Jan → | ||
| 9–13 | 0.02 | 18% | 25 Jan → | ||
| 13–7 | 0.15 | 13% | 23 Jan → | ||
| 6–1 | 0.14 | 20% | 21 Jan → | ||
| 12–12 | 0.12 | 18% | 21 Jan → | ||
| 13–4 | 0.08 | 14% | 16 Jan → | ||
| 1–13 | 0.00 | 22% | 15 Jan → | ||
| 10–13 | 0.20 | 23% | 15 Jan → | ||
| 13–9 | 0.14 | 28% | 10 Jan → | ||
| 7–13 | -0.02 | 25% | 7 Jan → | ||
| 13–3 | 0.11 | 15% | 29 Dec → | ||
| 13–8 | -0.01 | 13% | 25 Dec → | ||
| 13–9 | 0.01 | 29% | 25 Dec → | ||
| 13–4 | 0.04 | 22% | 25 Dec → | ||
| 13–5 | 0.01 | 21% | 20 Dec → | ||
| 13–6 | 0.04 | 28% | 20 Dec → | ||
| 13–7 | 0.01 | 13% | 20 Dec → | ||
| 13–11 | 0.03 | 16% | 20 Dec → | ||
| 13–5 | 0.04 | 7% | 19 Dec → | ||
| 13–6 | 0.09 | 24% | 19 Dec → | ||
| 13–1 | 0.12 | 22% | 19 Dec → | ||
| 8–13 | 0.05 | 20% | 30 Nov → | ||
| 12–12 | 0.12 | 20% | 19 Nov → | ||
| 13–10 | 0.09 | 20% | 12 Nov → | ||
| 10–13 | 0.00 | 10% | 6 Nov → | ||
| 15–15 | 0.04 | 19% | 5 Nov → |
Match data via Leetify.