slexx666 — CS2 Stats
76561198847135583[U:1:886869855]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 597ms 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 (×1.05 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 |
|---|---|---|---|---|---|
| C | 25 | 11–14 | 44% | -0.01 | |
| S | 23 | 17–6 | 74% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.03 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| S | 10 | 7–3 | 70% | -0.01 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| office | — | 1 | 0–1 | 0% | -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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 587 | 58% | 1.08 | 15.7 |
| Ancient | 487 | 49% | 1.01 | 15.6 |
| Dust2 | 274 | 46% | 0.92 | 15.0 |
| Mirage | 260 | 42% | 0.94 | 14.9 |
| Inferno | 260 | 47% | 0.99 | 15.7 |
| Anubis | 140 | 49% | 1.06 | 15.7 |
| Train | 139 | 53% | 1.00 | 16.6 |
| Vertigo | 91 | 59% | 1.06 | 16.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4223 — below the 0.5 mark we flag
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 | |
|---|---|---|---|---|---|
| 8–13 | 0.02 | 24% | 24 Aug → | ||
| 11–13 | -0.06 | 14% | 23 Aug → | ||
| 13–10 | -0.02 | 20% | 20 Aug → | ||
| 13–6 | 0.04 | 25% | 20 Aug → | ||
| 6–13 | 0.03 | 29% | 20 Aug → | ||
| 14–16 | 0.06 | 20% | 20 Aug → | ||
| 13–8 | 0.10 | 27% | 20 Aug → | ||
| 10–13 | 0.04 | 35% | 19 Aug → | ||
| 13–5 | 0.09 | 55% | 19 Aug → | ||
| 13–8 | 0.02 | 29% | 18 Aug → | ||
| 16–14 | 0.01 | 30% | 17 Aug → | ||
| 13–8 | 0.05 | 21% | 16 Aug → | ||
| 13–9 | 0.08 | 27% | 16 Aug → | ||
| 13–6 | 0.04 | 26% | 15 Aug → | ||
| 13–8 | 0.01 | 31% | 7 Aug → | ||
| 9–13 | -0.00 | 36% | 5 Aug → | ||
| 13–4 | 0.07 | 27% | 5 Aug → | ||
| 13–4 | 0.04 | 35% | 5 Aug → | ||
| 11–13 | 0.07 | 32% | 1 Aug → | ||
| 2–13 | -0.06 | 20% | 28 Jul → | ||
| 13–5 | 0.02 | 23% | 27 Jul → | ||
| 7–13 | -0.04 | 18% | 24 Jul → | ||
| 6–13 | 0.07 | 28% | 23 Jul → | ||
| 8–13 | 0.03 | 21% | 22 Jul → | ||
| 13–5 | -0.07 | 24% | 22 Jul → | ||
| 4–13 | -0.03 | 39% | 21 Jul → | ||
| 13–2 | -0.00 | 26% | 21 Jul → | ||
| 13–10 | -0.03 | 23% | 20 Jul → | ||
| 11–13 | -0.01 | 20% | 20 Jul → | ||
| 13–8 | 0.00 | 19% | 20 Jul → | ||
| 3–13 | -0.07 | 27% | 19 Jul → | ||
| 4–13 | -0.02 | 18% | 19 Jul → | ||
| 13–9 | 0.06 | 34% | 18 Jul → | ||
| 7–13 | -0.01 | 30% | 18 Jul → | ||
| 13–5 | -0.04 | 22% | 17 Jul → | ||
| 6–13 | 0.07 | 34% | 17 Jul → | ||
| 13–9 | 0.04 | 26% | 17 Jul → | ||
| office | 9–13 | -0.04 | 31% | 15 Jul → | |
| 9–13 | 0.00 | 35% | 15 Jul → | ||
| 6–13 | -0.05 | 30% | 15 Jul → | ||
| 7–13 | -0.04 | 16% | 15 Jul → | ||
| 13–7 | 0.05 | 29% | 15 Jul → | ||
| 13–10 | 0.01 | 17% | 14 Jul → | ||
| 13–3 | 0.07 | 27% | 13 Jul → | ||
| 3–13 | -0.11 | 33% | 13 Jul → | ||
| 13–7 | 0.05 | 18% | 13 Jul → | ||
| 0–13 | -0.07 | 0% | 13 Jul → | ||
| 7–13 | -0.03 | 29% | 13 Jul → | ||
| 13–11 | 0.03 | 19% | 10 Jul → | ||
| 13–2 | 0.03 | 20% | 10 Jul → | ||
| 13–2 | 0.04 | 22% | 10 Jul → | ||
| 4–13 | -0.03 | 37% | 10 Jul → | ||
| 19–16 | 0.01 | 26% | 6 Jul → | ||
| 13–6 | 0.03 | 23% | 6 Jul → | ||
| 13–10 | -0.00 | 9% | 4 Jul → | ||
| 10–13 | 0.05 | 33% | 1 Jul → | ||
| 15–15 | -0.04 | 20% | 1 Jul → | ||
| 13–4 | -0.05 | 13% | 27 Jun → | ||
| 12–16 | 0.07 | 30% | 23 Jun → | ||
| 5–13 | -0.10 | 31% | 22 Jun → | ||
| 22–20 | 0.09 | 28% | 18 Jun → | ||
| 13–4 | -0.02 | 19% | 18 Jun → | ||
| 3–13 | 0.06 | 26% | 18 Jun → | ||
| 2–13 | -0.06 | 17% | 16 Jun → | ||
| 13–16 | -0.02 | 24% | 15 Jun → | ||
| 5–13 | -0.04 | 20% | 15 Jun → | ||
| 11–13 | 0.13 | 32% | 15 Jun → | ||
| 13–5 | -0.01 | 34% | 15 Jun → | ||
| 13–4 | -0.00 | 28% | 14 Jun → | ||
| 13–11 | -0.03 | 13% | 14 Jun → | ||
| 19–16 | -0.00 | 23% | 11 Jun → | ||
| 13–11 | -0.03 | 16% | 10 Jun → | ||
| 9–13 | 0.04 | 32% | 10 Jun → | ||
| 16–13 | 0.01 | 15% | 10 Jun → | ||
| 12–3 | 0.10 | 33% | 9 Jun → | ||
| 6–13 | 0.01 | 30% | 9 Jun → | ||
| 10–13 | -0.04 | 21% | 8 Jun → | ||
| 10–13 | 0.08 | 40% | 8 Jun → | ||
| 8–13 | 0.00 | 25% | 7 Jun → | ||
| 13–6 | -0.09 | 24% | 6 Jun → | ||
| 13–9 | 0.04 | 23% | 5 Jun → | ||
| 13–7 | 0.10 | 11% | 5 Jun → | ||
| 11–13 | -0.07 | 19% | 31 May → | ||
| 8–13 | 0.06 | 25% | 28 May → | ||
| 7–13 | -0.07 | 17% | 25 May → | ||
| 5–13 | -0.05 | 22% | 21 May → | ||
| 13–16 | 0.09 | 25% | 20 May → | ||
| 13–4 | 0.02 | 24% | 19 May → | ||
| 13–3 | 0.05 | 27% | 19 May → | ||
| 9–13 | -0.08 | 15% | 17 May → | ||
| 13–10 | 0.06 | 29% | 16 May → | ||
| 13–7 | 0.07 | 33% | 15 May → | ||
| 11–13 | -0.06 | 14% | 11 May → | ||
| 19–15 | -0.01 | 24% | 9 May → | ||
| 13–6 | 0.03 | 33% | 9 May → | ||
| 12–16 | -0.04 | 21% | 7 May → | ||
| 16–14 | -0.00 | 38% | 6 May → | ||
| 13–8 | -0.03 | 37% | 1 May → | ||
| 13–11 | -0.00 | 21% | 29 Apr → | ||
| 13–9 | -0.03 | 19% | 29 Apr → |
Match data via Leetify.
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