lukitos — CS2 Stats
76561199446363308[U:1:1486097580]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 b1t 92% playstyle similarity
Most alike: utility contribution, 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 570ms 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 6.2/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 29 | 17–12 | 59% | 0.02 | |
| B | 23 | 12–11 | 52% | 0.01 | |
| B | 14 | 7–7 | 50% | -0.00 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| S | 9 | 6–3 | 67% | -0.00 | |
| D | 7 | 2–5 | 29% | -0.04 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1398 | 55% | 1.08 | 16.9 |
| Mirage | 1146 | 48% | 1.02 | 15.7 |
| Anubis | 932 | 52% | 1.04 | 16.5 |
| Dust2 | 458 | 48% | 0.93 | 15.2 |
| Nuke | 323 | 48% | 1.01 | 15.3 |
| Inferno | 270 | 44% | 0.95 | 15.8 |
| Vertigo | 165 | 50% | 1.07 | 16.4 |
| Train | 64 | 47% | 0.96 | 15.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.08 | 8% | 29 Aug → | ||
| 12–16 | 0.05 | 20% | 28 Aug → | ||
| 4–13 | -0.07 | 17% | 26 Aug → | ||
| 9–13 | -0.06 | 100% | 26 Aug → | ||
| 13–7 | -0.02 | 20% | 25 Aug → | ||
| 13–6 | 0.04 | 22% | 24 Aug → | ||
| 13–6 | 0.06 | 22% | 21 Aug → | ||
| 13–7 | 0.02 | 25% | 19 Aug → | ||
| 13–8 | -0.01 | 27% | 17 Aug → | ||
| 6–13 | 0.02 | 26% | 16 Aug → | ||
| 13–9 | 0.00 | 31% | 13 Aug → | ||
| 11–13 | 0.01 | 45% | 1 Aug → | ||
| 12–16 | -0.01 | 24% | 1 Aug → | ||
| 13–7 | 0.02 | 23% | 23 Jul → | ||
| 14–16 | 0.03 | 36% | 10 Jul → | ||
| 13–4 | 0.10 | 21% | 9 Jul → | ||
| 13–6 | 0.08 | 42% | 8 Jul → | ||
| 9–13 | -0.01 | 38% | 8 Jul → | ||
| 2–13 | -0.04 | 21% | 2 Jul → | ||
| 13–10 | -0.02 | 18% | 25 Jun → | ||
| 13–7 | -0.01 | 52% | 24 Jun → | ||
| 6–13 | 0.02 | 27% | 22 Jun → | ||
| 5–13 | 0.07 | 52% | 21 Jun → | ||
| 6–13 | -0.10 | 20% | 21 Jun → | ||
| 9–13 | -0.00 | 55% | 21 Jun → | ||
| 13–7 | -0.07 | 50% | 15 Jun → | ||
| 13–9 | -0.02 | 34% | 15 May → | ||
| 7–13 | -0.07 | 22% | 9 May → | ||
| 8–13 | -0.01 | 17% | 8 May → | ||
| 13–6 | -0.01 | 20% | 7 May → | ||
| 13–9 | 0.06 | 35% | 7 May → | ||
| 0–4 | 0.00 | 0% | 5 May → | ||
| 13–4 | 0.00 | 10% | 29 Apr → | ||
| 13–6 | 0.05 | 21% | 29 Apr → | ||
| 8–13 | -0.00 | 25% | 29 Apr → | ||
| 13–11 | 0.06 | 28% | 25 Apr → | ||
| 13–10 | 0.01 | 30% | 24 Apr → | ||
| 2–13 | -0.09 | 19% | 24 Apr → | ||
| 4–13 | -0.08 | 11% | 20 Apr → | ||
| 13–6 | 0.10 | 16% | 19 Apr → | ||
| 16–14 | 0.05 | 15% | 18 Apr → | ||
| 10–13 | 0.05 | 36% | 10 Apr → | ||
| 16–13 | 0.00 | 28% | 8 Apr → | ||
| 12–16 | 0.01 | 28% | 6 Apr → | ||
| 8–13 | 0.09 | 27% | 3 Apr → | ||
| 16–12 | 0.03 | 34% | 31 Mar → | ||
| 13–6 | 0.08 | 38% | 31 Mar → | ||
| 13–6 | 0.05 | 37% | 27 Mar → | ||
| 13–4 | -0.02 | 26% | 26 Mar → | ||
| 1–5 | -0.08 | 17% | 5 Mar → | ||
| 5–13 | 0.02 | 56% | 5 Mar → | ||
| 16–12 | 0.03 | 19% | 4 Mar → | ||
| 13–1 | 0.02 | 21% | 28 Feb → | ||
| 2–13 | 0.01 | 26% | 26 Feb → | ||
| 13–9 | -0.01 | 17% | 24 Feb → | ||
| 13–11 | -0.05 | 21% | 23 Feb → | ||
| 13–4 | 0.05 | 38% | 25 Dec → | ||
| 5–13 | -0.08 | 0% | 2 Dec → | ||
| 13–8 | 0.02 | 24% | 26 Nov → | ||
| 5–13 | -0.02 | 44% | 10 Nov → | ||
| 13–10 | -0.03 | 24% | 8 Nov → | ||
| 5–13 | -0.03 | 50% | 7 Nov → | ||
| 13–5 | 0.07 | 50% | 4 Nov → | ||
| 13–4 | 0.03 | 23% | 4 Nov → | ||
| 13–6 | -0.01 | 25% | 2 Nov → | ||
| 7–13 | -0.01 | 39% | 2 Nov → | ||
| 5–13 | 0.06 | 31% | 2 Nov → | ||
| 12–16 | 0.00 | 23% | 29 Oct → | ||
| 13–10 | 0.03 | 29% | 29 Oct → | ||
| 13–16 | -0.02 | 35% | 27 Oct → | ||
| 1–3 | -0.12 | 0% | 24 Oct → | ||
| 8–13 | 0.02 | 29% | 23 Oct → | ||
| 14–16 | -0.01 | 29% | 23 Oct → | ||
| 13–16 | -0.01 | 50% | 20 Oct → | ||
| 13–3 | -0.02 | 14% | 16 Oct → | ||
| 8–13 | -0.08 | 29% | 16 Oct → | ||
| 13–11 | -0.02 | 37% | 15 Oct → | ||
| 6–13 | -0.08 | 39% | 9 Oct → | ||
| 16–13 | 0.00 | 28% | 6 Oct → | ||
| 6–13 | -0.06 | 30% | 5 Oct → | ||
| 13–10 | -0.05 | 18% | 4 Oct → | ||
| 9–13 | -0.03 | 40% | 29 Sept → | ||
| 13–11 | 0.02 | 15% | 26 Sept → | ||
| 13–8 | 0.02 | 18% | 21 Sept → | ||
| 11–13 | -0.09 | 50% | 20 Sept → | ||
| 13–11 | 0.03 | 28% | 18 Sept → | ||
| 14–16 | 0.02 | 22% | 12 Sept → | ||
| 13–10 | 0.04 | 28% | 11 Sept → | ||
| 12–16 | -0.03 | 23% | 11 Sept → | ||
| 11–13 | -0.03 | 22% | 27 Aug → | ||
| 11–13 | 0.03 | 27% | 21 Aug → | ||
| 13–4 | -0.01 | 18% | 21 Aug → | ||
| 13–10 | 0.02 | 28% | 20 Aug → | ||
| 13–10 | 0.02 | 43% | 13 Aug → | ||
| 10–13 | 0.05 | 34% | 11 Aug → | ||
| 13–8 | -0.04 | 18% | 11 Aug → | ||
| 7–13 | 0.01 | 23% | 4 Aug → | ||
| 16–19 | 0.03 | 20% | 28 Jul → | ||
| 13–11 | 0.03 | 26% | 28 Jul → | ||
| 9–13 | -0.00 | 18% | 17 Jul → |
Match data via Leetify.