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LU76561198232520880[U:1:272255152]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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 92% playstyle similarity
Most alike: utility contribution, 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
Areas to improve
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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 20 | 10–10 | 50% | -0.02 | |
| A | 20 | 11–9 | 55% | -0.00 | |
| A | 18 | 10–8 | 56% | 0.00 | |
| B | 17 | 9–8 | 53% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| S | 8 | 6–2 | 75% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 748 | 56% | 1.05 | 15.3 |
| Ancient | 689 | 50% | 0.98 | 15.1 |
| Inferno | 291 | 53% | 0.99 | 14.6 |
| Nuke | 289 | 52% | 1.04 | 15.1 |
| Vertigo | 240 | 52% | 1.02 | 15.3 |
| Overpass | 216 | 59% | 0.98 | 14.3 |
| Dust2 | 170 | 49% | 1.02 | 14.8 |
| Mirage | 71 | 41% | 0.91 | 12.7 |
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 33.4299% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.06 | 12% | 8 Aug → | ||
| 13–9 | -0.04 | 23% | 7 Aug → | ||
| 9–13 | -0.07 | 21% | 7 Aug → | ||
| 13–11 | -0.06 | 32% | 13 Jul → | ||
| 8–13 | -0.03 | 31% | 28 Jun → | ||
| 9–13 | 0.04 | 22% | 26 Jun → | ||
| 7–13 | -0.01 | 28% | 24 Jun → | ||
| 13–7 | 0.04 | 24% | 24 Jun → | ||
| 9–13 | 0.03 | 24% | 22 Jun → | ||
| 13–8 | 0.01 | 24% | 6 Jun → | ||
| 13–9 | -0.04 | 29% | 4 Jun → | ||
| 9–13 | 0.03 | 29% | 31 May → | ||
| 10–13 | 0.01 | 35% | 30 May → | ||
| 6–13 | -0.02 | 21% | 24 May → | ||
| 13–7 | 0.01 | 24% | 24 May → | ||
| 13–8 | 0.02 | 16% | 17 May → | ||
| 13–8 | -0.01 | 31% | 17 May → | ||
| 13–9 | -0.00 | 27% | 14 May → | ||
| 19–22 | -0.03 | 15% | 14 May → | ||
| 13–5 | 0.03 | 29% | 14 May → | ||
| 12–12 | 0.02 | 32% | 13 May → | ||
| 13–3 | 0.18 | 25% | 13 May → | ||
| 5–13 | 0.02 | 30% | 13 May → | ||
| 8–13 | -0.01 | 35% | 9 May → | ||
| 13–9 | -0.01 | 18% | 9 May → | ||
| 13–5 | 0.04 | 26% | 9 May → | ||
| 5–13 | -0.07 | 15% | 9 May → | ||
| 13–6 | 0.03 | 16% | 9 May → | ||
| 13–0 | 0.08 | 19% | 9 May → | ||
| 13–5 | -0.03 | 12% | 3 May → | ||
| 6–13 | -0.06 | 26% | 2 May → | ||
| 13–11 | 0.04 | 31% | 28 Apr → | ||
| 13–3 | 0.02 | 36% | 28 Apr → | ||
| 10–13 | 0.02 | 22% | 25 Apr → | ||
| 13–10 | -0.01 | 19% | 23 Apr → | ||
| 10–13 | 0.06 | 19% | 8 Apr → | ||
| 1–13 | -0.08 | 13% | 8 Apr → | ||
| 8–13 | 0.04 | 53% | 8 Apr → | ||
| 16–14 | 0.06 | 17% | 8 Apr → | ||
| 10–13 | -0.09 | 32% | 7 Apr → | ||
| 5–13 | 0.01 | 52% | 7 Apr → | ||
| 13–8 | 0.04 | 62% | 7 Apr → | ||
| 7–13 | 0.05 | 20% | 4 Apr → | ||
| 13–10 | -0.02 | 20% | 30 Mar → | ||
| 7–13 | -0.03 | 24% | 25 Mar → | ||
| 7–13 | -0.03 | 24% | 25 Mar → | ||
| 13–7 | 0.03 | 25% | 22 Mar → | ||
| 13–5 | 0.09 | 32% | 22 Mar → | ||
| 13–4 | -0.02 | 17% | 22 Mar → | ||
| 13–9 | 0.02 | 28% | 22 Mar → | ||
| 13–8 | -0.01 | 29% | 22 Mar → | ||
| 13–11 | 0.01 | 32% | 22 Mar → | ||
| 12–16 | -0.03 | 18% | 21 Mar → | ||
| 3–13 | -0.07 | 23% | 21 Mar → | ||
| 13–10 | 0.06 | 43% | 19 Mar → | ||
| 11–13 | -0.03 | 18% | 19 Mar → | ||
| 6–13 | 0.00 | 45% | 19 Mar → | ||
| 15–15 | 0.01 | 33% | 18 Mar → | ||
| 13–11 | -0.02 | 42% | 18 Mar → | ||
| 13–8 | -0.01 | 41% | 18 Mar → | ||
| 13–8 | -0.02 | 34% | 18 Mar → | ||
| 13–8 | -0.00 | 29% | 15 Mar → | ||
| 0–13 | -0.07 | 21% | 15 Mar → | ||
| 9–13 | -0.03 | 16% | 14 Mar → | ||
| 13–3 | -0.03 | 24% | 14 Mar → | ||
| 13–6 | 0.00 | 36% | 13 Mar → | ||
| 7–13 | -0.06 | 21% | 13 Mar → | ||
| 7–13 | -0.03 | 28% | 11 Mar → | ||
| 11–13 | -0.06 | 22% | 10 Mar → | ||
| 13–5 | 0.09 | 23% | 6 Mar → | ||
| 8–13 | -0.04 | 27% | 1 Mar → | ||
| 13–8 | -0.06 | 24% | 1 Mar → | ||
| 13–2 | 0.00 | 15% | 27 Feb → | ||
| 13–9 | -0.02 | 26% | 27 Feb → | ||
| 13–8 | -0.07 | 26% | 27 Feb → | ||
| 13–2 | 0.03 | 27% | 27 Feb → | ||
| 13–6 | -0.01 | 23% | 27 Feb → | ||
| 10–13 | -0.01 | 38% | 27 Feb → | ||
| 13–16 | 0.02 | 26% | 27 Feb → | ||
| 9–13 | -0.01 | 20% | 26 Feb → | ||
| 13–10 | -0.05 | 28% | 26 Feb → | ||
| 13–16 | -0.01 | 33% | 26 Feb → | ||
| 13–6 | 0.01 | 20% | 26 Feb → | ||
| 13–6 | 0.06 | 37% | 26 Feb → | ||
| 13–9 | 0.03 | 48% | 26 Feb → | ||
| 10–13 | -0.00 | 29% | 21 Feb → | ||
| 11–13 | -0.01 | 29% | 21 Feb → | ||
| 13–9 | -0.01 | 26% | 21 Feb → | ||
| 4–13 | -0.02 | 38% | 21 Feb → | ||
| 16–12 | 0.04 | 22% | 21 Feb → | ||
| 13–10 | -0.02 | 36% | 20 Feb → | ||
| 13–16 | -0.04 | 14% | 20 Feb → | ||
| 13–10 | 0.00 | 11% | 19 Feb → | ||
| 9–13 | -0.08 | 17% | 18 Feb → | ||
| 20–22 | -0.03 | 26% | 16 Feb → | ||
| 12–16 | -0.03 | 45% | 15 Feb → | ||
| 13–6 | -0.05 | 28% | 15 Feb → | ||
| 13–16 | 0.00 | 21% | 14 Feb → | ||
| 11–13 | 0.01 | 23% | 14 Feb → | ||
| 13–10 | -0.02 | 24% | 12 Feb → |
Match data via Leetify.
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