V1zaa — CS2 Stats
76561198045912692[U:1:85646964]Steam profile ↗
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 39.3% | 47.2% | 49.0% | 9.7% short |
| Shot accuracy | 17.2% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.22 | 1.07 | 1.08 | above |
| Match win rate | 26.8% | 46.3% | 46.9% | 20.1% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 87 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 64% on CT to 44% 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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | 0.04 | |
| D | 15 | 5–10 | 33% | 0.01 | |
| S | 14 | 12–2 | 86% | 0.03 | |
| A | 11 | 6–5 | 55% | 0.06 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| sanctum | — | 4 | 1–3 | 25% | 0.05 |
| — | 2 | 0–2 | 0% | -0.07 | |
| — | 1 | 0–1 | 0% | -0.15 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 75 | 61% | 1.22 | 16.5 |
| Inferno | 60 | 62% | 1.31 | 17.4 |
| Mirage | 48 | 48% | 1.10 | 17.0 |
| Ancient | 31 | 39% | 1.10 | 17.5 |
| Vertigo | 28 | 39% | 1.24 | 16.5 |
| Nuke | 23 | 48% | 1.35 | 16.2 |
| Dust2 | 4 | 25% | 0.67 | 12.5 |
| Overpass | 2 | 50% | 1.23 | 11.0 |
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
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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–9 | -0.03 | 12% | 28 Aug → | ||
| 6–9 | -0.14 | 13% | 28 Aug → | ||
| 13–11 | 0.01 | 17% | 26 Aug → | ||
| 13–4 | 0.04 | 25% | 26 Aug → | ||
| 14–16 | 0.10 | 21% | 24 Aug → | ||
| 13–1 | 0.05 | 16% | 24 Aug → | ||
| 13–8 | 0.09 | 16% | 21 Aug → | ||
| 13–6 | 0.15 | 25% | 21 Aug → | ||
| 13–5 | -0.00 | 15% | 21 Aug → | ||
| 13–6 | -0.00 | 10% | 21 Aug → | ||
| 0–5 | -0.02 | 14% | 21 Aug → | ||
| 3–13 | -0.05 | 25% | 20 Aug → | ||
| 15–15 | 0.02 | 18% | 20 Aug → | ||
| 2–13 | -0.06 | 17% | 20 Aug → | ||
| 13–5 | 0.03 | 14% | 20 Aug → | ||
| 13–3 | 0.01 | 18% | 20 Aug → | ||
| 15–15 | -0.07 | 17% | 15 Aug → | ||
| 13–4 | 0.04 | 18% | 14 Aug → | ||
| 6–13 | -0.01 | 12% | 14 Aug → | ||
| 11–13 | 0.01 | 16% | 14 Aug → | ||
| 13–16 | -0.04 | 13% | 11 Aug → | ||
| 13–8 | 0.12 | 13% | 10 Aug → | ||
| 13–7 | 0.01 | 10% | 9 Aug → | ||
| 8–13 | 0.03 | 22% | 26 Jul → | ||
| 8–13 | -0.01 | 33% | 26 Jul → | ||
| 10–13 | -0.00 | 17% | 26 Jul → | ||
| 13–11 | 0.07 | 18% | 22 Jul → | ||
| 13–11 | 0.03 | 11% | 16 Jul → | ||
| 13–8 | 0.06 | 22% | 16 Jul → | ||
| 4–13 | 0.04 | 19% | 16 Jul → | ||
| 13–5 | 0.13 | 26% | 16 Jul → | ||
| 12–12 | -0.05 | 18% | 8 Jul → | ||
| 13–8 | -0.03 | 15% | 8 Jul → | ||
| 12–12 | 0.01 | 21% | 26 Jun → | ||
| 8–13 | -0.03 | 25% | 24 Jun → | ||
| 13–7 | -0.00 | 21% | 24 Jun → | ||
| 13–10 | 0.05 | 26% | 23 Jun → | ||
| 13–16 | -0.01 | 20% | 23 Jun → | ||
| 16–13 | 0.07 | 12% | 19 Jun → | ||
| 4–12 | -0.07 | 24% | 19 Jun → | ||
| 6–13 | -0.08 | 7% | 19 Jun → | ||
| 10–13 | 0.03 | 21% | 16 Jun → | ||
| 9–7 | 0.11 | 32% | 16 Jun → | ||
| 4–9 | -0.05 | 19% | 15 Jun → | ||
| 13–9 | -0.05 | 4% | 15 Jun → | ||
| 13–11 | 0.06 | 16% | 15 Jun → | ||
| 13–11 | 0.05 | 20% | 14 Jun → | ||
| 13–7 | 0.06 | 17% | 14 Jun → | ||
| 13–11 | -0.00 | 29% | 14 Jun → | ||
| 13–11 | 0.03 | 43% | 14 Jun → | ||
| 5–13 | -0.01 | 15% | 13 Jun → | ||
| 13–5 | 0.01 | 25% | 13 Jun → | ||
| 13–6 | 0.07 | 12% | 13 Jun → | ||
| 13–7 | 0.08 | 17% | 13 Jun → | ||
| 13–6 | -0.02 | 23% | 13 Jun → | ||
| 15–15 | 0.01 | 24% | 13 Jun → | ||
| 11–13 | 0.07 | 15% | 12 Jun → | ||
| 6–13 | -0.08 | 31% | 12 Jun → | ||
| 10–13 | 0.06 | 29% | 11 Jun → | ||
| 2–13 | -0.05 | 8% | 11 Jun → | ||
| 7–13 | -0.01 | 18% | 9 Jun → | ||
| 13–4 | 0.07 | 19% | 9 Jun → | ||
| 13–4 | -0.01 | 12% | 9 Jun → | ||
| 13–4 | 0.02 | 25% | 8 Jun → | ||
| 13–8 | -0.00 | 21% | 7 Jun → | ||
| 9–13 | 0.00 | 29% | 7 Jun → | ||
| 16–12 | 0.04 | 18% | 6 Jun → | ||
| 13–10 | 0.04 | 18% | 6 Jun → | ||
| 10–13 | 0.00 | 13% | 6 Jun → | ||
| 13–5 | 0.05 | 21% | 6 Jun → | ||
| 9–7 | 0.10 | 17% | 6 Jun → | ||
| 6–13 | 0.01 | 20% | 1 Jun → | ||
| 13–11 | -0.00 | 13% | 1 Jun → | ||
| 13–10 | 0.04 | 18% | 29 May → | ||
| 5–13 | -0.01 | 33% | 28 May → | ||
| 9–7 | 0.08 | 16% | 28 May → | ||
| 9–3 | 0.18 | 23% | 28 May → | ||
| 13–1 | 0.09 | 39% | 25 May → | ||
| 13–11 | 0.07 | 17% | 22 May → | ||
| 11–13 | 0.03 | 16% | 22 May → | ||
| 13–11 | 0.00 | 19% | 21 May → | ||
| 13–7 | 0.10 | 15% | 21 May → | ||
| sanctum | 8–8 | 0.02 | 24% | 8 May → | |
| 8–8 | 0.05 | 17% | 8 May → | ||
| 6–9 | 0.04 | 15% | 8 May → | ||
| 6–9 | 0.04 | 21% | 7 May → | ||
| 9–7 | 0.05 | 16% | 7 May → | ||
| 8–8 | 0.05 | 26% | 28 Apr → | ||
| sanctum | 6–9 | -0.01 | 24% | 28 Apr → | |
| 9–0 | 0.33 | 28% | 28 Apr → | ||
| 2–9 | -0.08 | 31% | 28 Apr → | ||
| 9–5 | 0.03 | 61% | 28 Apr → | ||
| sanctum | 7–9 | 0.03 | 34% | 27 Apr → | |
| 9–2 | 0.21 | 45% | 27 Apr → | ||
| 4–9 | 0.08 | 29% | 20 Apr → | ||
| 7–9 | 0.08 | 19% | 19 Apr → | ||
| sanctum | 9–5 | 0.15 | 18% | 19 Apr → | |
| 9–4 | 0.12 | 27% | 19 Apr → | ||
| 3–9 | -0.09 | 15% | 19 Apr → | ||
| 3–9 | -0.15 | 12% | 19 Apr → |
Match data via Leetify.