Slexa — CS2 Stats
DK76561199013936333[U:1:1053670605]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 98% 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 93 — the mechanical foundation is a clear strength.
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
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 57% on CT to 41% 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 7.0/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 25 | 12–13 | 48% | 0.00 |
 ancient | B | 22 | 10–12 | 45% | 0.01 |
 anubis | C | 13 | 5–8 | 38% | 0.03 |
 inferno | D | 9 | 3–6 | 33% | 0.03 |
 mirage | A | 7 | 4–3 | 57% | -0.03 |
 dust2 | S | 6 | 5–1 | 83% | 0.03 |
 overpass | D | 6 | 1–5 | 17% | 0.01 |
| palais | S | 5 | 4–1 | 80% | 0.10 |
 cache | — | 4 | 1–3 | 25% | 0.02 |
 train | — | 2 | 1–1 | 50% | 0.06 |
| dogtown | — | 1 | 0–1 | 0% | -0.20 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 598 | 55% | 1.21 | 16.6 |
| Nuke | 397 | 57% | 1.21 | 16.7 |
| Anubis | 392 | 50% | 1.18 | 16.9 |
| Mirage | 222 | 51% | 1.13 | 15.6 |
| Vertigo | 177 | 57% | 1.27 | 17.5 |
| Overpass | 111 | 50% | 1.08 | 17.8 |
| Dust2 | 107 | 42% | 1.09 | 16.7 |
| Train | 78 | 46% | 1.13 | 16.3 |
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 | |
|---|---|---|---|---|---|
| cache | 9–13 | 0.00 | 43% | 24 Aug → | |
| ancient | 6–13 | -0.01 | 25% | 24 Aug → | |
| nuke | 8–13 | 0.02 | 40% | 23 Aug → | |
| ancient | 9–13 | -0.01 | 44% | 23 Aug → | |
| nuke | 6–13 | 0.06 | 29% | 21 Aug → | |
| cache | 9–13 | 0.05 | 46% | 21 Aug → | |
| mirage | 13–7 | -0.02 | 11% | 18 Aug → | |
| nuke | 13–5 | 0.02 | 50% | 18 Aug → | |
| nuke | 13–5 | 0.01 | 21% | 15 Aug → | |
| cache | 7–13 | 0.01 | 34% | 9 Aug → | |
| ancient | 13–4 | 0.03 | 30% | 1 Aug → | |
| anubis | 19–17 | 0.06 | 22% | 20 Jul → | |
| ancient | 7–13 | 0.04 | 36% | 13 Jul → | |
| inferno | 9–6 | 0.16 | 38% | 9 Jul → | |
| nuke | 9–13 | 0.06 | 23% | 2 Jul → | |
| ancient | 13–9 | 0.06 | 37% | 1 Jul → | |
| ancient | 13–5 | 0.01 | 27% | 29 Jun → | |
| inferno | 9–7 | 0.11 | 19% | 26 Jun → | |
| ancient | 8–13 | 0.03 | 24% | 26 Jun → | |
| nuke | 8–13 | -0.03 | 29% | 15 Jun → | |
| dust2 | 13–9 | -0.01 | 50% | 6 Jun → | |
| mirage | 13–5 | -0.07 | 38% | 1 Jun → | |
| overpass | 7–13 | 0.02 | 18% | 24 May → | |
| nuke | 7–13 | -0.04 | 23% | 24 May → | |
| ancient | 9–13 | -0.01 | 39% | 14 May → | |
| cache | 13–10 | 0.02 | 31% | 13 May → | |
| nuke | 13–10 | -0.00 | 41% | 26 Apr → | |
| anubis | 2–13 | 0.03 | 44% | 11 Apr → | |
| nuke | 13–11 | 0.01 | 20% | 11 Apr → | |
| inferno | 7–13 | -0.02 | 41% | 11 Apr → | |
| inferno | 7–13 | -0.02 | 41% | 11 Apr → | |
| anubis | 2–13 | 0.03 | 44% | 11 Apr → | |
| nuke | 13–11 | 0.01 | 20% | 11 Apr → | |
| mirage | 6–13 | -0.03 | 29% | 11 Apr → | |
| anubis | 8–13 | 0.01 | 28% | 11 Apr → | |
| mirage | 6–13 | -0.03 | 29% | 11 Apr → | |
| anubis | 8–13 | 0.01 | 28% | 11 Apr → | |
| inferno | 5–13 | -0.01 | 15% | 10 Apr → | |
| inferno | 8–13 | 0.02 | 29% | 10 Apr → | |
| nuke | 13–1 | 0.09 | 38% | 10 Apr → | |
| anubis | 13–9 | 0.02 | 14% | 10 Apr → | |
| ancient | 9–13 | 0.03 | 34% | 6 Apr → | |
| inferno | 6–13 | -0.06 | 55% | 6 Apr → | |
| anubis | 10–13 | 0.01 | 38% | 4 Apr → | |
| overpass | 10–13 | 0.01 | 33% | 18 Mar → | |
| ancient | 16–13 | 0.05 | 33% | 8 Mar → | |
| ancient | 9–13 | -0.05 | 26% | 7 Mar → | |
| anubis | 6–13 | -0.04 | 15% | 5 Mar → | |
| ancient | 13–9 | 0.07 | 56% | 2 Mar → | |
| nuke | 13–3 | 0.01 | 54% | 2 Mar → | |
| nuke | 8–2 | 0.06 | 0% | 2 Mar → | |
| mirage | 19–17 | -0.02 | 20% | 1 Mar → | |
| anubis | 13–1 | 0.08 | 31% | 28 Feb → | |
| anubis | 10–13 | 0.00 | 31% | 25 Jan → | |
| ancient | 4–13 | 0.01 | 37% | 19 Jan → | |
| train | 3–13 | -0.04 | 25% | 10 Jan → | |
| nuke | 8–13 | -0.00 | 31% | 10 Jan → | |
| ancient | 16–14 | -0.03 | 26% | 10 Jan → | |
| nuke | 9–13 | -0.00 | 18% | 31 Dec → | |
| ancient | 13–10 | -0.01 | 30% | 29 Dec → | |
| ancient | 8–13 | -0.04 | 33% | 10 Dec → | |
| dust2 | 13–4 | 0.07 | 40% | 10 Dec → | |
| dust2 | 23–25 | 0.01 | 33% | 26 Nov → | |
| overpass | 9–13 | -0.03 | 35% | 22 Nov → | |
| nuke | 10–13 | -0.04 | 26% | 22 Nov → | |
| ancient | 13–10 | -0.02 | 33% | 28 Oct → | |
| overpass | 9–13 | -0.02 | 32% | 14 Oct → | |
| overpass | 10–13 | 0.08 | 30% | 13 Sept → | |
| nuke | 13–9 | 0.02 | 31% | 12 Sept → | |
| overpass | 13–9 | -0.01 | 29% | 6 Sept → | |
| nuke | 10–13 | -0.02 | 26% | 5 Aug → | |
| mirage | 11–13 | -0.04 | 14% | 20 Jul → | |
| anubis | 13–7 | 0.06 | 27% | 9 Jun → | |
| nuke | 5–13 | -0.07 | 13% | 9 Jun → | |
| nuke | 0–13 | -0.09 | 22% | 5 Jun → | |
| dogtown | 3–9 | -0.20 | 43% | 1 Jun → | |
| palais | 9–2 | 0.23 | 32% | 18 Apr → | |
| nuke | 16–14 | 0.00 | 28% | 18 Apr → | |
| ancient | 16–13 | 0.05 | 21% | 16 Apr → | |
| palais | 9–3 | 0.01 | 17% | 4 Apr → | |
| ancient | 11–13 | -0.04 | 20% | 30 Mar → | |
| ancient | 13–11 | 0.01 | 24% | 2 Mar → | |
| anubis | 13–9 | 0.04 | 35% | 27 Feb → | |
| nuke | 13–11 | -0.01 | 34% | 13 Feb → | |
| dust2 | 13–9 | 0.04 | 33% | 12 Feb → | |
| mirage | 13–6 | -0.00 | 37% | 12 Feb → | |
| inferno | 14–16 | -0.04 | 29% | 12 Feb → | |
| palais | 9–7 | 0.16 | 33% | 7 Feb → | |
| dust2 | 13–7 | 0.05 | 33% | 4 Feb → | |
| inferno | 13–7 | 0.12 | 28% | 1 Feb → | |
| train | 13–8 | 0.17 | 33% | 1 Feb → | |
| nuke | 7–13 | -0.05 | 25% | 25 Jan → | |
| palais | 7–9 | -0.02 | 27% | 24 Jan → | |
| palais | 9–4 | 0.14 | 32% | 24 Jan → | |
| anubis | 11–13 | 0.04 | 25% | 15 Jan → | |
| nuke | 13–9 | 0.03 | 29% | 5 Jan → | |
| nuke | 7–13 | -0.04 | 22% | 4 Jan → | |
| ancient | 14–16 | 0.01 | 25% | 4 Jan → | |
| dust2 | 13–6 | 0.02 | 24% | 4 Jan → | |
| ancient | 10–13 | 0.01 | 18% | 4 Jan → |
Match data via Leetify.