VPO looyka — CS2 Stats
76561199133668877[U:1:1173403149]Steam profile ↗✓ No bans
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 | 37.5% | 47.2% | 49.0% | 11.5% short |
| Shot accuracy | 4.3% | 12.3% | 13.1% | 8.8% short |
| Kill/death ratio | 0.95 | 1.07 | 1.08 | 0.13 short |
| Match win rate | 42.5% | 46.3% | 46.9% | 4.4% short |
This profile sits below the typical Level 9 player on every metric we can compare.
Widest gap: Shot accuracy. 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: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 88% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim profile; 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
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 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 580ms 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 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | C | 26 | 10–16 | 38% | 0.02 |
 nuke | A | 22 | 12–10 | 55% | 0.01 |
 dust2 | D | 15 | 5–10 | 33% | 0.01 |
 anubis | D | 11 | 3–8 | 27% | 0.02 |
 inferno | C | 9 | 4–5 | 44% | 0.02 |
 ancient | S | 6 | 4–2 | 67% | 0.00 |
 vertigo | C | 5 | 2–3 | 40% | -0.03 |
 cache | — | 2 | 1–1 | 50% | 0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.14 |
 overpass | — | 1 | 1–0 | 100% | 0.08 |
| dogtown | — | 1 | 0–1 | 0% | 0.00 |
| italy | — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (27% over 11). 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 234 | 48% | 1.10 | 16.9 |
| Dust2 | 158 | 46% | 1.02 | 15.6 |
| Ancient | 108 | 53% | 1.14 | 15.9 |
| Anubis | 88 | 44% | 1.10 | 17.3 |
| Nuke | 85 | 55% | 1.10 | 16.9 |
| Inferno | 82 | 59% | 1.12 | 16.8 |
| Cache | 27 | 41% | 0.97 | 13.7 |
| Overpass | 26 | 42% | 1.09 | 14.6 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.1633% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4731 — below the 0.5 mark we flag
- 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 29.9449% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 11–13 | -0.04 | 10% | 28 Aug → | |
| vertigo | 8–13 | -0.00 | 13% | 26 Aug → | |
| nuke | 13–8 | 0.00 | 14% | 25 Aug → | |
| vertigo | 16–12 | 0.04 | 11% | 25 Aug → | |
| mirage | 3–13 | -0.05 | 9% | 21 Aug → | |
| mirage | 4–13 | 0.03 | 34% | 19 Aug → | |
| mirage | 6–13 | -0.06 | 9% | 16 Aug → | |
| mirage | 7–13 | -0.03 | 10% | 16 Aug → | |
| mirage | 6–13 | 0.07 | 14% | 8 Aug → | |
| nuke | 11–13 | 0.01 | 23% | 8 Aug → | |
| nuke | 13–8 | -0.03 | 9% | 6 Aug → | |
| dust2 | 13–6 | 0.09 | 17% | 6 Aug → | |
| mirage | 2–13 | -0.02 | 16% | 6 Aug → | |
| cache | 7–13 | 0.02 | 16% | 4 Aug → | |
| inferno | 13–11 | -0.01 | 12% | 3 Aug → | |
| mirage | 13–8 | 0.04 | 18% | 1 Aug → | |
| anubis | 8–13 | 0.03 | 11% | 26 Jul → | |
| anubis | 1–13 | 0.06 | 14% | 20 Jul → | |
| nuke | 10–13 | 0.07 | 12% | 20 Jul → | |
| poseidon | 3–9 | -0.14 | 50% | 13 Jul → | |
| anubis | 13–4 | 0.06 | 13% | 12 Jul → | |
| inferno | 9–5 | 0.07 | 21% | 9 Jul → | |
| anubis | 7–13 | 0.05 | 12% | 7 Jul → | |
| mirage | 13–8 | 0.08 | 17% | 13 Jun → | |
| dust2 | 17–19 | -0.01 | 13% | 12 Jun → | |
| nuke | 13–8 | 0.02 | 14% | 5 Jun → | |
| dust2 | 13–7 | 0.05 | 13% | 2 Jun → | |
| dust2 | 14–16 | 0.02 | 13% | 25 May → | |
| cache | 13–4 | 0.08 | 12% | 24 May → | |
| mirage | 20–22 | -0.00 | 5% | 22 May → | |
| dust2 | 6–13 | -0.00 | 19% | 20 May → | |
| dust2 | 11–13 | -0.01 | 5% | 20 May → | |
| dust2 | 8–13 | -0.02 | 37% | 16 May → | |
| dust2 | 10–13 | -0.02 | 26% | 16 May → | |
| mirage | 16–12 | -0.04 | 14% | 8 May → | |
| nuke | 13–5 | 0.07 | 19% | 6 May → | |
| inferno | 13–11 | -0.01 | 17% | 23 Apr → | |
| nuke | 13–5 | 0.08 | 27% | 23 Apr → | |
| nuke | 13–16 | -0.05 | 11% | 15 Apr → | |
| dust2 | 13–7 | -0.00 | 11% | 12 Apr → | |
| nuke | 13–10 | -0.01 | 20% | 11 Apr → | |
| anubis | 9–13 | -0.07 | 12% | 10 Apr → | |
| mirage | 11–13 | 0.06 | 9% | 10 Apr → | |
| anubis | 8–13 | 0.05 | 12% | 28 Mar → | |
| overpass | 13–4 | 0.08 | 6% | 21 Mar → | |
| dust2 | 15–15 | 0.12 | 14% | 7 Mar → | |
| dust2 | 2–13 | -0.05 | 24% | 5 Mar → | |
| inferno | 10–13 | 0.07 | 15% | 2 Mar → | |
| nuke | 13–1 | 0.09 | 19% | 20 Feb → | |
| ancient | 16–14 | 0.10 | 15% | 19 Feb → | |
| dust2 | 13–5 | 0.09 | 20% | 11 Feb → | |
| anubis | 10–13 | -0.03 | 10% | 2 Feb → | |
| inferno | 7–13 | -0.03 | 3% | 30 Jan → | |
| mirage | 10–13 | 0.06 | 17% | 23 Jan → | |
| mirage | 13–9 | 0.02 | 13% | 22 Jan → | |
| anubis | 2–13 | -0.02 | 13% | 20 Jan → | |
| mirage | 2–13 | -0.01 | 15% | 18 Jan → | |
| dust2 | 9–13 | -0.04 | 9% | 18 Jan → | |
| nuke | 8–13 | 0.05 | 15% | 16 Jan → | |
| nuke | 13–2 | 0.00 | 4% | 14 Jan → | |
| mirage | 13–11 | -0.03 | 10% | 14 Jan → | |
| dust2 | 13–10 | -0.02 | 8% | 3 Jan → | |
| ancient | 13–9 | -0.02 | 6% | 1 Jan → | |
| mirage | 13–6 | 0.01 | 9% | 23 Dec → | |
| mirage | 7–13 | -0.01 | 7% | 9 Oct → | |
| anubis | 13–8 | 0.05 | 16% | 3 Jul → | |
| dogtown | 7–9 | 0.00 | 20% | 18 May → | |
| dust2 | 3–13 | -0.08 | 13% | 4 Apr → | |
| mirage | 13–9 | 0.03 | 10% | 15 Mar → | |
| inferno | 10–13 | -0.01 | 6% | 17 Feb → | |
| nuke | 3–13 | -0.03 | 25% | 14 Feb → | |
| mirage | 5–13 | -0.09 | 10% | 18 Jan → | |
| mirage | 11–13 | -0.01 | 17% | 11 Jan → | |
| mirage | 13–4 | 0.07 | 23% | 7 Jan → | |
| ancient | 13–8 | 0.05 | 5% | 7 Jan → | |
| nuke | 11–13 | 0.13 | 20% | 6 Jan → | |
| mirage | 13–8 | 0.04 | 19% | 6 Jan → | |
| nuke | 10–13 | 0.01 | 17% | 4 Jan → | |
| nuke | 6–13 | -0.02 | 7% | 2 Jan → | |
| inferno | 4–9 | -0.08 | 20% | 13 Dec → | |
| nuke | 9–4 | 0.07 | 19% | 12 Dec → | |
| nuke | 13–10 | -0.02 | 20% | 25 Oct → | |
| nuke | 13–5 | 0.01 | 30% | 19 Oct → | |
| italy | 13–10 | -0.07 | 11% | 9 Oct → | |
| nuke | 4–13 | -0.10 | 6% | 9 Oct → | |
| ancient | 12–12 | -0.08 | 14% | 8 Oct → | |
| vertigo | 8–13 | -0.05 | 17% | 29 Sept → | |
| vertigo | 4–13 | -0.13 | 13% | 28 Sept → | |
| anubis | 7–13 | -0.07 | 3% | 28 Sept → | |
| mirage | 13–5 | 0.17 | 27% | 17 Aug → | |
| ancient | 12–12 | -0.04 | 16% | 8 Aug → | |
| nuke | 9–7 | 0.04 | 27% | 21 Jun → | |
| mirage | 3–10 | -0.09 | 31% | 7 Jun → | |
| ancient | 13–2 | 0.01 | 26% | 24 Mar → | |
| vertigo | 9–1 | -0.02 | 17% | 19 Mar → | |
| nuke | 3–13 | -0.10 | 10% | 18 Mar → | |
| mirage | 0–11 | 0.01 | 33% | 16 Mar → | |
| anubis | 13–7 | 0.13 | 28% | 8 Mar → | |
| mirage | 11–13 | 0.23 | 37% | 6 Mar → | |
| inferno | 13–9 | 0.26 | 32% | 6 Mar → |
Match data via Leetify.
