piku — CS2 Stats
FI76561198955084934[U:1:994819206]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 Twistzz 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower 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 86 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 51% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 582ms 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 6.6/10 (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 |
|---|---|---|---|---|---|
 nuke | A | 30 | 18–12 | 60% | 0.01 |
 ancient | B | 20 | 10–10 | 50% | 0.01 |
 inferno | D | 14 | 4–10 | 29% | 0.02 |
 train | D | 12 | 3–9 | 25% | -0.02 |
 mirage | A | 9 | 5–4 | 56% | 0.02 |
 dust2 | D | 7 | 2–5 | 29% | -0.01 |
 overpass | — | 4 | 3–1 | 75% | 0.01 |
 cache | — | 1 | 0–1 | 0% | -0.04 |
| eldorado | — | 1 | 0–1 | 0% | -0.04 |
 anubis | — | 1 | 0–1 | 0% | 0.10 |
| agency | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 752 | 54% | 1.19 | 17.0 |
| Nuke | 539 | 58% | 1.20 | 16.7 |
| Mirage | 402 | 45% | 1.06 | 15.1 |
| Vertigo | 240 | 50% | 1.15 | 16.3 |
| Anubis | 201 | 45% | 1.19 | 17.1 |
| Inferno | 182 | 46% | 1.04 | 15.4 |
| Train | 159 | 60% | 1.16 | 16.3 |
| Dust2 | 52 | 46% | 1.06 | 15.3 |
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 24.054% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 3–9 | -0.02 | 32% | 19 Aug → | |
| cache | 0–13 | -0.04 | 27% | 14 Aug → | |
| inferno | 9–4 | 0.07 | 33% | 9 Aug → | |
| eldorado | 6–9 | -0.04 | 22% | 13 Jul → | |
| inferno | 6–9 | 0.06 | 37% | 13 Jul → | |
| ancient | 13–9 | 0.02 | 23% | 28 Jun → | |
| mirage | 13–4 | 0.01 | 37% | 27 Jun → | |
| inferno | 9–5 | 0.32 | 24% | 3 Jun → | |
| mirage | 7–13 | -0.04 | 21% | 23 May → | |
| mirage | 13–1 | 0.04 | 13% | 28 Apr → | |
| train | 10–13 | 0.04 | 17% | 26 Apr → | |
| nuke | 13–8 | -0.00 | 29% | 26 Apr → | |
| mirage | 9–13 | 0.02 | 33% | 25 Apr → | |
| inferno | 7–13 | 0.03 | 17% | 21 Mar → | |
| mirage | 13–4 | 0.03 | 13% | 21 Mar → | |
| inferno | 13–5 | -0.05 | 27% | 21 Mar → | |
| nuke | 13–9 | -0.01 | 27% | 4 Mar → | |
| ancient | 11–13 | 0.04 | 20% | 18 Feb → | |
| inferno | 11–13 | -0.06 | 27% | 15 Feb → | |
| nuke | 8–13 | -0.01 | 10% | 15 Feb → | |
| nuke | 13–10 | 0.03 | 7% | 14 Feb → | |
| nuke | 13–11 | 0.07 | 25% | 12 Feb → | |
| ancient | 4–13 | 0.01 | 24% | 11 Feb → | |
| inferno | 9–1 | -0.03 | 38% | 10 Feb → | |
| inferno | 6–13 | -0.01 | 17% | 6 Feb → | |
| dust2 | 13–7 | 0.04 | 37% | 4 Feb → | |
| nuke | 10–13 | -0.01 | 26% | 27 Jan → | |
| ancient | 13–6 | 0.05 | 38% | 7 Jan → | |
| ancient | 7–13 | -0.02 | 28% | 7 Jan → | |
| ancient | 13–9 | -0.05 | 16% | 15 Dec → | |
| train | 5–13 | -0.01 | 17% | 14 Dec → | |
| ancient | 13–11 | 0.01 | 36% | 13 Dec → | |
| nuke | 13–10 | -0.05 | 34% | 11 Dec → | |
| ancient | 7–13 | -0.04 | 9% | 30 Nov → | |
| inferno | 6–9 | -0.07 | 20% | 29 Nov → | |
| mirage | 6–13 | -0.05 | 40% | 24 Nov → | |
| nuke | 9–13 | -0.00 | 32% | 24 Nov → | |
| ancient | 4–13 | -0.02 | 24% | 24 Oct → | |
| dust2 | 13–7 | 0.00 | 28% | 24 Oct → | |
| nuke | 16–14 | -0.04 | 23% | 24 Oct → | |
| nuke | 13–7 | 0.05 | 49% | 23 Oct → | |
| train | 4–13 | -0.04 | 41% | 17 Oct → | |
| nuke | 3–13 | -0.06 | 35% | 17 Oct → | |
| dust2 | 6–13 | -0.01 | 37% | 17 Oct → | |
| nuke | 4–13 | -0.06 | 29% | 17 Oct → | |
| train | 13–9 | -0.04 | 26% | 12 Oct → | |
| nuke | 13–7 | 0.02 | 24% | 12 Oct → | |
| inferno | 6–13 | 0.03 | 20% | 9 Oct → | |
| train | 6–13 | -0.05 | 31% | 9 Oct → | |
| train | 4–13 | -0.06 | 26% | 2 Oct → | |
| dust2 | 4–13 | -0.05 | 32% | 2 Oct → | |
| nuke | 5–13 | 0.08 | 37% | 28 Sept → | |
| dust2 | 17–19 | -0.03 | 15% | 25 Sept → | |
| nuke | 9–13 | 0.00 | 20% | 25 Sept → | |
| dust2 | 11–13 | -0.05 | 29% | 18 Sept → | |
| nuke | 10–13 | 0.02 | 17% | 17 Sept → | |
| inferno | 16–19 | -0.06 | 29% | 17 Sept → | |
| train | 9–13 | -0.09 | 23% | 3 Sept → | |
| overpass | 13–6 | 0.11 | 37% | 30 Aug → | |
| nuke | 13–11 | 0.03 | 27% | 26 Aug → | |
| overpass | 13–9 | -0.04 | 32% | 24 Aug → | |
| ancient | 11–13 | 0.01 | 31% | 24 Aug → | |
| inferno | 8–13 | -0.01 | 21% | 20 Aug → | |
| nuke | 13–8 | 0.05 | 36% | 18 Aug → | |
| nuke | 13–10 | 0.02 | 27% | 17 Aug → | |
| ancient | 13–6 | -0.00 | 11% | 17 Aug → | |
| ancient | 13–7 | 0.02 | 26% | 15 Aug → | |
| nuke | 13–9 | -0.00 | 33% | 11 Aug → | |
| overpass | 2–13 | -0.04 | 23% | 8 Aug → | |
| train | 10–13 | 0.03 | 24% | 5 Aug → | |
| train | 11–13 | -0.00 | 18% | 28 Jul → | |
| overpass | 16–14 | 0.04 | 27% | 26 Jul → | |
| nuke | 13–8 | 0.02 | 28% | 26 Jul → | |
| ancient | 13–10 | -0.00 | 28% | 25 Jul → | |
| ancient | 13–5 | 0.17 | 30% | 25 Jul → | |
| mirage | 3–13 | -0.05 | 24% | 15 Jul → | |
| nuke | 3–13 | -0.02 | 23% | 2 Jul → | |
| nuke | 13–9 | 0.06 | 31% | 30 Jun → | |
| anubis | 14–16 | 0.10 | 33% | 29 Jun → | |
| dust2 | 10–13 | 0.01 | 35% | 27 Jun → | |
| nuke | 13–7 | -0.02 | 18% | 26 Jun → | |
| train | 16–12 | 0.02 | 30% | 24 Jun → | |
| ancient | 8–13 | 0.00 | 23% | 14 Jun → | |
| nuke | 6–13 | -0.06 | 29% | 13 Jun → | |
| ancient | 16–20 | -0.01 | 20% | 13 Jun → | |
| ancient | 16–20 | -0.01 | 20% | 13 Jun → | |
| nuke | 13–10 | 0.01 | 29% | 3 Jun → | |
| inferno | 11–13 | 0.03 | 23% | 1 Jun → | |
| mirage | 13–4 | 0.06 | 21% | 1 Jun → | |
| nuke | 11–13 | -0.01 | 22% | 29 May → | |
| nuke | 13–16 | -0.05 | 30% | 29 May → | |
| nuke | 13–0 | 0.11 | 38% | 26 May → | |
| agency | 13–9 | 0.10 | 26% | 21 May → | |
| train | 13–7 | 0.02 | 26% | 21 May → | |
| ancient | 13–6 | 0.01 | 25% | 17 May → | |
| ancient | 13–11 | -0.02 | 22% | 17 May → | |
| train | 4–13 | -0.06 | 31% | 16 May → | |
| nuke | 13–3 | 0.10 | 44% | 14 May → | |
| ancient | 7–13 | -0.04 | 13% | 9 May → | |
| mirage | 13–1 | 0.14 | 38% | 7 May → |
Match data via Leetify.