-K1llZaT_ — CS2 Stats
FR76561198402236940[U:1:441971212]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 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 b1t 96% 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 88 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 55% on CT to 36% 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 30 | 15–15 | 50% | 0.01 | |
| B | 21 | 11–10 | 52% | 0.02 | |
| A | 15 | 9–6 | 60% | 0.01 | |
| D | 13 | 4–9 | 31% | -0.02 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 542 | 51% | 1.15 | 17.4 |
| Dust2 | 413 | 52% | 1.21 | 17.8 |
| Ancient | 374 | 52% | 1.14 | 16.9 |
| Anubis | 265 | 49% | 1.10 | 16.4 |
| Nuke | 138 | 50% | 1.18 | 17.4 |
| Inferno | 102 | 37% | 1.01 | 16.8 |
| Overpass | 46 | 54% | 1.21 | 18.5 |
| Train | 32 | 38% | 1.09 | 16.2 |
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 35.7006% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.05 | 20% | 23 Aug → | ||
| 11–13 | -0.04 | 26% | 17 Aug → | ||
| 7–13 | -0.02 | 21% | 16 Aug → | ||
| 10–13 | 0.03 | 19% | 16 Aug → | ||
| 5–13 | -0.02 | 16% | 16 Aug → | ||
| 9–13 | -0.02 | 25% | 16 Aug → | ||
| 11–13 | 0.01 | 35% | 16 Aug → | ||
| 13–1 | -0.03 | 25% | 15 Aug → | ||
| 19–17 | -0.01 | 19% | 14 Aug → | ||
| 13–11 | 0.03 | 27% | 11 Aug → | ||
| 13–11 | -0.03 | 25% | 9 Aug → | ||
| 6–13 | -0.04 | 38% | 9 Aug → | ||
| 11–13 | -0.05 | 25% | 6 Aug → | ||
| 6–13 | 0.00 | 23% | 5 Aug → | ||
| 13–10 | 0.03 | 33% | 1 Aug → | ||
| 13–11 | 0.10 | 24% | 30 Jul → | ||
| 6–13 | -0.00 | 19% | 26 Jul → | ||
| 13–10 | -0.01 | 23% | 19 Jul → | ||
| 13–4 | -0.00 | 36% | 18 Jul → | ||
| 10–13 | -0.01 | 23% | 13 Jul → | ||
| 13–4 | 0.09 | 37% | 12 Jul → | ||
| 11–13 | -0.01 | 13% | 7 Jul → | ||
| 11–13 | 0.01 | 25% | 4 Jul → | ||
| 13–10 | 0.01 | 20% | 28 Jun → | ||
| 8–13 | 0.01 | 25% | 28 Jun → | ||
| 16–14 | 0.03 | 22% | 27 Jun → | ||
| 13–3 | 0.08 | 19% | 23 Jun → | ||
| 13–11 | 0.04 | 23% | 21 Jun → | ||
| 10–13 | -0.03 | 21% | 20 Jun → | ||
| 11–13 | 0.02 | 13% | 20 Jun → | ||
| 6–13 | -0.03 | 24% | 1 Jun → | ||
| 13–9 | 0.04 | 19% | 31 May → | ||
| 12–12 | -0.04 | 26% | 30 May → | ||
| 16–14 | 0.04 | 25% | 28 May → | ||
| 13–9 | 0.02 | 30% | 25 May → | ||
| 13–9 | 0.06 | 26% | 25 May → | ||
| 6–13 | -0.06 | 23% | 3 May → | ||
| 7–13 | -0.04 | 39% | 1 May → | ||
| 13–5 | 0.05 | 38% | 30 Apr → | ||
| 9–13 | 0.02 | 25% | 28 Apr → | ||
| 13–5 | 0.05 | 20% | 27 Apr → | ||
| 3–13 | -0.09 | 36% | 18 Apr → | ||
| 5–13 | -0.04 | 28% | 18 Apr → | ||
| 13–8 | 0.05 | 19% | 15 Apr → | ||
| 11–13 | -0.03 | 28% | 11 Apr → | ||
| 16–14 | 0.02 | 12% | 6 Apr → | ||
| 25–23 | 0.01 | 25% | 5 Apr → | ||
| 13–5 | 0.08 | 26% | 4 Apr → | ||
| 5–13 | -0.00 | 29% | 3 Apr → | ||
| 13–11 | 0.07 | 29% | 25 Mar → | ||
| 13–10 | 0.01 | 41% | 19 Mar → | ||
| 5–13 | -0.06 | 17% | 18 Mar → | ||
| 2–13 | -0.05 | 15% | 8 Mar → | ||
| 17–19 | 0.02 | 20% | 7 Mar → | ||
| 12–16 | -0.05 | 20% | 1 Mar → | ||
| 11–13 | -0.00 | 33% | 28 Feb → | ||
| 13–7 | 0.06 | 36% | 18 Feb → | ||
| 10–13 | 0.01 | 23% | 17 Feb → | ||
| 9–13 | -0.00 | 19% | 15 Feb → | ||
| 13–9 | -0.01 | 25% | 14 Feb → | ||
| 13–10 | 0.06 | 23% | 14 Feb → | ||
| 8–13 | -0.01 | 44% | 14 Feb → | ||
| 13–7 | 0.02 | 17% | 14 Feb → | ||
| 13–8 | 0.05 | 28% | 14 Feb → | ||
| 13–3 | 0.06 | 16% | 14 Feb → | ||
| 13–9 | 0.03 | 21% | 11 Feb → | ||
| 13–8 | 0.01 | 24% | 11 Feb → | ||
| 11–13 | -0.01 | 20% | 8 Feb → | ||
| 3–13 | -0.08 | 14% | 30 Jan → | ||
| 8–13 | 0.03 | 32% | 28 Jan → | ||
| 13–2 | 0.03 | 23% | 24 Jan → | ||
| 7–13 | -0.01 | 21% | 24 Jan → | ||
| 16–19 | -0.04 | 23% | 18 Jan → | ||
| 13–6 | -0.03 | 28% | 18 Jan → | ||
| 12–12 | 0.07 | 23% | 17 Jan → | ||
| 11–13 | 0.11 | 18% | 17 Jan → | ||
| 13–2 | 0.12 | 38% | 17 Jan → | ||
| 16–14 | 0.06 | 14% | 14 Jan → | ||
| 13–7 | 0.03 | 22% | 14 Jan → | ||
| 13–10 | 0.03 | 26% | 4 Jan → | ||
| 13–9 | 0.04 | 23% | 3 Jan → | ||
| 7–13 | -0.05 | 19% | 3 Jan → | ||
| 11–13 | -0.01 | 11% | 1 Jan → | ||
| 13–9 | 0.02 | 11% | 25 Dec → | ||
| 13–8 | 0.07 | 15% | 21 Dec → | ||
| 11–13 | 0.13 | 22% | 20 Dec → | ||
| 8–13 | -0.03 | 21% | 20 Dec → | ||
| 1–13 | -0.08 | 13% | 19 Dec → | ||
| 3–13 | -0.06 | 13% | 19 Dec → | ||
| 3–13 | -0.09 | 18% | 22 Nov → | ||
| 8–13 | -0.02 | 22% | 22 Nov → | ||
| 13–3 | 0.02 | 20% | 17 Nov → | ||
| 13–1 | 0.05 | 22% | 16 Nov → | ||
| 19–16 | -0.01 | 20% | 15 Nov → | ||
| 13–16 | -0.06 | 27% | 11 Nov → | ||
| 13–11 | -0.02 | 32% | 10 Nov → | ||
| 13–9 | -0.02 | 26% | 10 Nov → | ||
| 13–5 | 0.03 | 35% | 1 Nov → | ||
| 9–13 | -0.00 | 17% | 1 Nov → | ||
| 9–13 | -0.02 | 20% | 29 Oct → |
Match data via Leetify.