5z1pu — CS2 Stats
76561198146598694[U:1:186332966]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 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: utility contribution, opening-duel success.
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
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 49% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 589ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| office | A | 45 | 29–16 | 64% | 0.04 |
| A | 22 | 13–9 | 59% | 0.00 | |
| S | 10 | 7–3 | 70% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.08 | |
| italy | — | 2 | 0–2 | 0% | 0.05 |
| shelter | — | 1 | 0–1 | 0% | 0.03 |
| sanctum | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (59% over 22). Start with the 6 essential Inferno 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.
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 33.896% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–7 | 0.04 | 18% | 14 Aug → | |
| 9–13 | 0.08 | 20% | 13 Aug → | ||
| office | 13–9 | 0.23 | 22% | 12 Aug → | |
| 13–5 | -0.00 | 33% | 12 Aug → | ||
| office | 13–10 | 0.01 | 17% | 12 Aug → | |
| office | 6–13 | 0.00 | 30% | 9 Aug → | |
| office | 13–6 | 0.01 | 17% | 9 Aug → | |
| 13–7 | 0.03 | 28% | 9 Aug → | ||
| 5–13 | 0.04 | 25% | 9 Aug → | ||
| 12–12 | 0.03 | 22% | 9 Aug → | ||
| 13–11 | -0.03 | 13% | 9 Aug → | ||
| office | 13–6 | 0.14 | 14% | 9 Aug → | |
| 3–13 | -0.03 | 19% | 8 Aug → | ||
| office | 13–10 | 0.12 | 28% | 8 Aug → | |
| office | 13–10 | 0.00 | 19% | 8 Aug → | |
| 13–9 | 0.04 | 19% | 8 Aug → | ||
| 9–13 | 0.01 | 12% | 6 Aug → | ||
| 13–4 | 0.02 | 17% | 6 Aug → | ||
| 13–8 | 0.05 | 13% | 6 Aug → | ||
| office | 6–13 | -0.04 | 10% | 6 Aug → | |
| office | 13–1 | 0.12 | 19% | 6 Aug → | |
| 13–10 | 0.12 | 16% | 6 Aug → | ||
| 7–13 | -0.01 | 22% | 6 Aug → | ||
| 13–4 | 0.01 | 18% | 6 Aug → | ||
| office | 13–8 | 0.03 | 18% | 5 Aug → | |
| office | 13–1 | 0.10 | 17% | 5 Aug → | |
| 10–13 | 0.03 | 22% | 2 Aug → | ||
| 13–11 | 0.02 | 23% | 2 Aug → | ||
| office | 13–11 | -0.00 | 30% | 28 Jul → | |
| office | 13–0 | 0.08 | 18% | 27 Jul → | |
| office | 13–5 | 0.09 | 21% | 27 Jul → | |
| office | 13–6 | 0.06 | 31% | 27 Jul → | |
| office | 11–13 | -0.01 | 20% | 27 Jul → | |
| office | 12–12 | 0.00 | 41% | 26 Jul → | |
| office | 13–7 | -0.00 | 21% | 26 Jul → | |
| shelter | 3–13 | 0.03 | 20% | 9 Jul → | |
| office | 13–1 | 0.06 | 32% | 9 Jul → | |
| office | 4–13 | -0.01 | 29% | 9 Jul → | |
| office | 5–13 | -0.01 | 29% | 8 Jul → | |
| office | 13–9 | 0.07 | 21% | 3 Jul → | |
| 13–8 | 0.07 | 19% | 3 Jul → | ||
| office | 13–4 | 0.05 | 41% | 3 Jul → | |
| office | 13–4 | -0.03 | 32% | 25 Jun → | |
| office | 13–2 | 0.06 | 22% | 25 Jun → | |
| office | 5–13 | 0.01 | 18% | 24 Jun → | |
| office | 8–13 | -0.04 | 29% | 24 Jun → | |
| office | 2–13 | -0.01 | 12% | 24 Jun → | |
| office | 12–12 | -0.01 | 38% | 24 Jun → | |
| office | 11–13 | 0.00 | 27% | 18 Jun → | |
| office | 13–6 | 0.16 | 28% | 18 Jun → | |
| office | 13–7 | 0.19 | 20% | 18 Jun → | |
| 6–2 | 0.02 | 22% | 12 Jun → | ||
| 13–3 | 0.09 | 19% | 12 Jun → | ||
| 13–3 | 0.05 | 25% | 12 Jun → | ||
| office | 9–13 | 0.04 | 17% | 5 Jun → | |
| office | 5–13 | 0.10 | 28% | 30 May → | |
| 6–13 | -0.04 | 14% | 30 May → | ||
| 13–7 | 0.05 | 24% | 30 May → | ||
| 2–9 | -0.16 | 20% | 17 Apr → | ||
| 8–8 | 0.02 | 20% | 17 Apr → | ||
| 9–5 | 0.03 | 17% | 17 Apr → | ||
| sanctum | 9–7 | -0.06 | 4% | 17 Apr → | |
| 9–2 | 0.10 | 35% | 17 Apr → | ||
| 9–6 | 0.07 | 20% | 17 Apr → | ||
| 8–8 | 0.02 | 13% | 17 Apr → | ||
| 4–9 | 0.02 | 17% | 16 Apr → | ||
| 4–9 | -0.11 | 9% | 16 Apr → | ||
| 9–3 | -0.00 | 15% | 16 Apr → | ||
| 9–6 | -0.09 | 17% | 16 Apr → | ||
| office | 13–9 | -0.00 | 21% | 3 Apr → | |
| 2–13 | -0.01 | 11% | 24 Mar → | ||
| 13–1 | 0.09 | 19% | 24 Mar → | ||
| office | 7–13 | 0.00 | 12% | 21 Mar → | |
| office | 11–13 | 0.06 | 31% | 21 Mar → | |
| office | 13–10 | -0.03 | 22% | 21 Mar → | |
| 13–3 | 0.10 | 23% | 13 Mar → | ||
| office | 13–11 | 0.06 | 23% | 13 Mar → | |
| office | 8–13 | 0.12 | 18% | 29 Nov → | |
| 13–0 | 0.06 | 19% | 23 Nov → | ||
| 11–13 | 0.03 | 26% | 5 Nov → | ||
| 13–3 | 0.01 | 25% | 1 Nov → | ||
| 11–13 | 0.00 | 33% | 1 Nov → | ||
| 13–5 | -0.05 | 22% | 22 Oct → | ||
| office | 13–8 | 0.07 | 42% | 22 Oct → | |
| italy | 8–13 | 0.05 | 38% | 22 Oct → | |
| 13–11 | 0.02 | 24% | 20 Oct → | ||
| italy | 7–13 | 0.06 | 26% | 15 Oct → | |
| 12–12 | -0.00 | 21% | 15 Oct → | ||
| 13–4 | -0.07 | 24% | 15 Oct → | ||
| 1–2 | -0.10 | 0% | 15 Oct → | ||
| 6–4 | -0.03 | 50% | 9 Oct → | ||
| 13–2 | 0.09 | 29% | 9 Oct → | ||
| 13–11 | -0.01 | 39% | 9 Oct → | ||
| 13–8 | 0.08 | 15% | 4 Oct → | ||
| 13–8 | 0.12 | 24% | 4 Oct → | ||
| office | 13–6 | 0.04 | 31% | 4 Oct → | |
| 13–7 | 0.01 | 20% | 24 Sept → | ||
| 5–13 | -0.02 | 16% | 24 Sept → | ||
| office | 13–11 | 0.01 | 24% | 20 Sept → | |
| office | 13–10 | 0.01 | 38% | 20 Sept → |
Match data via Leetify.