Trademark — CS2 Stats
US76561198084231630[U:1:123965902]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingStrong CT-side opener
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 91% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Strengths
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
T-side openings. Opening success drops from 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 631ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
 mirage | B | 39 | 20–19 | 51% | 0.01 |
 dust2 | A | 20 | 11–9 | 55% | 0.01 |
 inferno | A | 14 | 8–6 | 57% | -0.01 |
 overpass | C | 8 | 3–5 | 38% | 0.01 |
 nuke | B | 6 | 3–3 | 50% | -0.03 |
 anubis | D | 6 | 2–4 | 33% | -0.02 |
 ancient | A | 5 | 3–2 | 60% | -0.00 |
 cache | — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 0% | 0.62 | 10.0 |
| Dust2 | 1 | 0% | 0.69 | 11.0 |
| Mirage | 1 | 100% | 1.00 | 11.0 |
| Overpass | 1 | 100% | 0.94 | 15.0 |
| Inferno | 1 | 100% | 0.67 | 10.0 |
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.
- 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 25.6755% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 9–13 | -0.05 | 40% | 15 Jul → | |
| mirage | 11–13 | -0.00 | 36% | 15 Jul → | |
| mirage | 13–4 | 0.04 | 30% | 11 Jul → | |
| inferno | 13–7 | -0.03 | 26% | 11 Jul → | |
| mirage | 9–13 | -0.03 | 18% | 11 Jul → | |
| cache | 5–13 | -0.03 | 32% | 11 Jul → | |
| cache | 8–13 | 0.00 | 42% | 11 Jul → | |
| overpass | 1–13 | -0.06 | 36% | 21 Jun → | |
| dust2 | 10–13 | 0.07 | 32% | 21 Jun → | |
| dust2 | 4–13 | -0.06 | 50% | 21 Jun → | |
| nuke | 13–11 | -0.05 | 24% | 21 Jun → | |
| mirage | 11–13 | -0.02 | 34% | 20 Jun → | |
| dust2 | 13–6 | 0.03 | 46% | 20 Jun → | |
| dust2 | 6–13 | -0.06 | 22% | 5 Jun → | |
| mirage | 13–8 | 0.02 | 28% | 5 Jun → | |
| mirage | 13–11 | -0.00 | 38% | 31 May → | |
| ancient | 11–13 | -0.06 | 31% | 31 May → | |
| overpass | 13–1 | 0.06 | 25% | 30 May → | |
| inferno | 3–13 | 0.05 | 29% | 30 May → | |
| mirage | 5–13 | 0.00 | 32% | 30 May → | |
| mirage | 13–11 | 0.07 | 39% | 30 May → | |
| dust2 | 13–10 | 0.06 | 34% | 30 May → | |
| mirage | 0–13 | -0.06 | 27% | 30 May → | |
| mirage | 13–7 | 0.04 | 21% | 29 May → | |
| nuke | 7–13 | -0.06 | 33% | 29 May → | |
| overpass | 13–9 | 0.11 | 26% | 29 May → | |
| inferno | 15–15 | -0.01 | 26% | 29 May → | |
| dust2 | 16–14 | 0.01 | 19% | 28 May → | |
| mirage | 13–9 | 0.06 | 31% | 28 May → | |
| nuke | 12–16 | 0.02 | 39% | 28 May → | |
| overpass | 11–13 | -0.05 | 19% | 27 May → | |
| inferno | 3–13 | -0.05 | 32% | 27 May → | |
| mirage | 13–10 | 0.01 | 23% | 26 May → | |
| overpass | 13–3 | 0.05 | 23% | 16 May → | |
| mirage | 16–12 | -0.01 | 30% | 16 May → | |
| mirage | 2–7 | 0.03 | 36% | 16 May → | |
| dust2 | 9–13 | -0.05 | 24% | 16 May → | |
| anubis | 11–13 | 0.06 | 35% | 16 May → | |
| overpass | 4–13 | 0.01 | 44% | 16 May → | |
| inferno | 13–4 | 0.02 | 50% | 16 May → | |
| nuke | 13–5 | -0.09 | 27% | 16 May → | |
| dust2 | 13–11 | -0.04 | 31% | 16 May → | |
| nuke | 10–13 | 0.03 | 24% | 15 May → | |
| mirage | 9–13 | -0.01 | 33% | 15 May → | |
| mirage | 13–11 | -0.01 | 38% | 14 May → | |
| dust2 | 15–15 | 0.05 | 30% | 14 May → | |
| overpass | 9–13 | -0.00 | 21% | 14 May → | |
| inferno | 7–13 | -0.01 | 32% | 14 May → | |
| mirage | 6–13 | 0.06 | 33% | 13 May → | |
| dust2 | 2–13 | -0.06 | 45% | 13 May → | |
| mirage | 3–1 | -0.05 | 100% | 12 May → | |
| ancient | 9–13 | -0.07 | 28% | 12 May → | |
| mirage | 10–13 | -0.06 | 21% | 12 May → | |
| dust2 | 16–13 | 0.02 | 27% | 12 May → | |
| mirage | 13–9 | 0.07 | 39% | 12 May → | |
| anubis | 7–13 | -0.08 | 16% | 11 May → | |
| mirage | 13–10 | 0.04 | 33% | 11 May → | |
| mirage | 13–11 | -0.01 | 22% | 11 May → | |
| dust2 | 13–11 | -0.02 | 44% | 11 May → | |
| mirage | 16–14 | 0.05 | 35% | 10 May → | |
| ancient | 13–2 | 0.02 | 38% | 10 May → | |
| inferno | 13–6 | -0.08 | 31% | 9 May → | |
| mirage | 13–7 | 0.09 | 32% | 9 May → | |
| dust2 | 6–13 | -0.01 | 39% | 9 May → | |
| overpass | 3–13 | -0.02 | 29% | 9 May → | |
| dust2 | 14–16 | 0.09 | 31% | 9 May → | |
| inferno | 13–9 | -0.02 | 47% | 9 May → | |
| anubis | 13–10 | 0.04 | 20% | 8 May → | |
| dust2 | 13–10 | 0.01 | 21% | 8 May → | |
| mirage | 13–8 | -0.01 | 22% | 8 May → | |
| dust2 | 13–9 | 0.02 | 24% | 8 May → | |
| mirage | 8–13 | 0.06 | 23% | 8 May → | |
| nuke | 13–9 | -0.05 | 27% | 8 May → | |
| anubis | 10–13 | -0.06 | 24% | 8 May → | |
| mirage | 16–13 | 0.01 | 24% | 8 May → | |
| inferno | 13–6 | 0.03 | 21% | 8 May → | |
| inferno | 13–7 | -0.04 | 41% | 8 May → | |
| mirage | 11–13 | 0.05 | 28% | 8 May → | |
| mirage | 16–12 | 0.03 | 36% | 6 May → | |
| dust2 | 16–12 | 0.05 | 29% | 6 May → | |
| mirage | 13–7 | 0.12 | 18% | 6 May → | |
| dust2 | 13–11 | 0.07 | 32% | 6 May → | |
| mirage | 15–15 | -0.00 | 26% | 5 May → | |
| inferno | 9–13 | -0.04 | 24% | 5 May → | |
| ancient | 13–5 | 0.05 | 35% | 5 May → | |
| inferno | 9–13 | -0.00 | 20% | 5 May → | |
| ancient | 13–5 | 0.06 | 31% | 5 May → | |
| mirage | 9–13 | -0.01 | 41% | 4 May → | |
| dust2 | 13–9 | 0.00 | 31% | 3 May → | |
| anubis | 5–13 | -0.00 | 31% | 3 May → | |
| anubis | 13–6 | -0.05 | 47% | 2 May → | |
| dust2 | 11–13 | -0.01 | 33% | 1 May → | |
| mirage | 3–13 | -0.06 | 24% | 1 May → | |
| mirage | 4–13 | 0.11 | 27% | 1 May → | |
| mirage | 13–8 | 0.06 | 31% | 1 May → | |
| inferno | 13–5 | 0.04 | 32% | 1 May → | |
| mirage | 13–6 | 0.03 | 38% | 1 May → | |
| inferno | 16–13 | -0.04 | 11% | 1 May → | |
| mirage | 2–13 | -0.03 | 37% | 1 May → | |
| mirage | 0–13 | -0.04 | 29% | 1 May → |
Match data via Leetify.
