vincy — CS2 Stats
76561198055522158[U:1:95256430]✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 40.5% | 44.2% | 47.1% | 6.5% short |
| Shot accuracy | 11.6% | 11.6% | 12.8% | 1.3% short |
| Kill/death ratio | 0.96 | 1.03 | 1.08 | 0.12 short |
| Match win rate | 43.6% | 45.2% | 46.6% | 3.0% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 jL 84% 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.
Reaction time. 609ms 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 5.5/10 (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 |
|---|---|---|---|---|---|
 dust2 | C | 37 | 16–21 | 43% | 0.01 |
 cache | B | 30 | 16–14 | 53% | 0.00 |
 vertigo | S | 7 | 6–1 | 86% | -0.02 |
 anubis | D | 6 | 2–4 | 33% | -0.00 |
| office | A | 5 | 3–2 | 60% | 0.01 |
 train | — | 4 | 1–3 | 25% | 0.00 |
 ancient | — | 4 | 2–2 | 50% | 0.01 |
 mirage | — | 3 | 1–2 | 33% | 0.04 |
 nuke | — | 3 | 0–3 | 0% | 0.00 |
| shelter | — | 1 | 1–0 | 100% | 0.10 |
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 resultsLLLLL
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.
- 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 0.2471 — 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 39.6835% — 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 | |
|---|---|---|---|---|---|
| cache | 13–8 | -0.02 | 24% | 26 Aug → | |
| cache | 5–13 | -0.01 | 14% | 26 Aug → | |
| cache | 8–13 | 0.01 | 23% | 25 Aug → | |
| dust2 | 12–12 | -0.01 | 25% | 25 Aug → | |
| dust2 | 12–12 | 0.01 | 17% | 15 Aug → | |
| dust2 | 13–4 | 0.08 | 20% | 15 Aug → | |
| dust2 | 13–7 | 0.09 | 24% | 13 Aug → | |
| shelter | 8–2 | 0.10 | 13% | 4 Aug → | |
| dust2 | 7–13 | -0.03 | 26% | 3 Aug → | |
| dust2 | 13–10 | 0.07 | 32% | 3 Aug → | |
| dust2 | 13–8 | 0.01 | 26% | 30 Jul → | |
| dust2 | 9–13 | 0.01 | 35% | 30 Jul → | |
| dust2 | 13–8 | -0.02 | 11% | 23 Jul → | |
| train | 12–12 | -0.01 | 23% | 22 Jul → | |
| cache | 13–4 | 0.03 | 13% | 22 Jul → | |
| ancient | 13–4 | 0.04 | 21% | 22 Jul → | |
| mirage | 9–13 | 0.05 | 21% | 22 Jul → | |
| dust2 | 9–13 | -0.01 | 28% | 17 Jul → | |
| train | 4–13 | 0.04 | 30% | 17 Jul → | |
| dust2 | 10–13 | -0.01 | 21% | 17 Jul → | |
| dust2 | 7–13 | -0.03 | 20% | 9 Jul → | |
| office | 13–7 | 0.03 | 22% | 9 Jul → | |
| office | 13–9 | 0.11 | 30% | 9 Jul → | |
| dust2 | 5–13 | 0.09 | 26% | 1 Jul → | |
| dust2 | 11–13 | 0.08 | 30% | 1 Jul → | |
| cache | 13–9 | 0.04 | 25% | 1 Jul → | |
| dust2 | 13–5 | 0.09 | 6% | 1 Jul → | |
| ancient | 7–13 | 0.01 | 14% | 1 Jul → | |
| dust2 | 9–13 | -0.03 | 21% | 27 Jun → | |
| dust2 | 8–13 | -0.01 | 20% | 26 Jun → | |
| dust2 | 13–9 | 0.02 | 23% | 26 Jun → | |
| anubis | 13–7 | 0.04 | 15% | 26 Jun → | |
| ancient | 11–13 | -0.01 | 25% | 26 Jun → | |
| dust2 | 15–15 | -0.03 | 41% | 25 Jun → | |
| dust2 | 13–5 | -0.03 | 32% | 24 Jun → | |
| dust2 | 13–7 | -0.01 | 23% | 23 Jun → | |
| cache | 13–9 | -0.01 | 33% | 23 Jun → | |
| dust2 | 6–13 | -0.05 | 22% | 20 Jun → | |
| train | 13–4 | 0.06 | 23% | 19 Jun → | |
| train | 9–13 | -0.08 | 17% | 19 Jun → | |
| dust2 | 13–11 | -0.03 | 24% | 16 Jun → | |
| dust2 | 9–13 | 0.00 | 26% | 11 Jun → | |
| ancient | 13–7 | -0.00 | 21% | 11 Jun → | |
| anubis | 12–12 | -0.05 | 22% | 10 Jun → | |
| vertigo | 13–8 | -0.04 | 16% | 10 Jun → | |
| anubis | 4–13 | -0.05 | 17% | 10 Jun → | |
| mirage | 5–13 | -0.06 | 29% | 9 Jun → | |
| dust2 | 12–12 | 0.02 | 24% | 7 Jun → | |
| mirage | 13–4 | 0.14 | 34% | 5 Jun → | |
| vertigo | 13–4 | -0.08 | 7% | 3 Jun → | |
| dust2 | 2–13 | -0.03 | 14% | 3 Jun → | |
| vertigo | 13–7 | -0.02 | 30% | 3 Jun → | |
| cache | 10–13 | -0.02 | 19% | 2 Jun → | |
| dust2 | 13–11 | -0.01 | 16% | 2 Jun → | |
| vertigo | 13–5 | 0.04 | 23% | 2 Jun → | |
| anubis | 6–13 | -0.06 | 11% | 28 May → | |
| cache | 13–3 | 0.10 | 23% | 28 May → | |
| anubis | 13–9 | 0.01 | 15% | 27 May → | |
| anubis | 10–13 | 0.08 | 18% | 27 May → | |
| nuke | 12–12 | 0.01 | 16% | 22 May → | |
| vertigo | 13–6 | 0.02 | 10% | 21 May → | |
| dust2 | 5–13 | -0.04 | 10% | 20 May → | |
| dust2 | 12–12 | 0.02 | 17% | 20 May → | |
| dust2 | 9–13 | 0.03 | 26% | 20 May → | |
| cache | 2–7 | 0.03 | 16% | 19 May → | |
| dust2 | 10–13 | -0.02 | 20% | 19 May → | |
| office | 0–8 | -0.09 | 50% | 19 May → | |
| cache | 12–12 | -0.01 | 27% | 15 May → | |
| nuke | 6–13 | -0.01 | 19% | 15 May → | |
| cache | 13–4 | -0.04 | 28% | 15 May → | |
| office | 13–5 | 0.02 | 12% | 13 May → | |
| cache | 5–11 | 0.02 | 39% | 13 May → | |
| office | 7–13 | -0.03 | 6% | 13 May → | |
| vertigo | 13–8 | -0.04 | 26% | 12 May → | |
| cache | 13–1 | -0.02 | 12% | 12 May → | |
| vertigo | 9–13 | -0.06 | 6% | 9 May → | |
| dust2 | 13–4 | -0.02 | 16% | 9 May → | |
| cache | 13–10 | 0.01 | 12% | 8 May → | |
| cache | 13–10 | -0.01 | 21% | 8 May → | |
| cache | 7–13 | -0.01 | 20% | 4 May → | |
| cache | 13–6 | 0.00 | 21% | 2 May → | |
| dust2 | 13–10 | 0.08 | 16% | 2 May → | |
| cache | 12–12 | -0.00 | 17% | 2 May → | |
| cache | 8–13 | -0.04 | 16% | 2 May → | |
| cache | 13–7 | 0.01 | 21% | 1 May → | |
| cache | 12–12 | 0.01 | 17% | 30 Apr → | |
| cache | 7–13 | -0.09 | 19% | 30 Apr → | |
| cache | 13–7 | -0.02 | 7% | 30 Apr → | |
| cache | 13–7 | 0.03 | 29% | 30 Apr → | |
| nuke | 4–13 | 0.00 | 17% | 29 Apr → | |
| cache | 12–12 | 0.08 | 12% | 29 Apr → | |
| cache | 13–6 | 0.06 | 21% | 29 Apr → | |
| dust2 | 12–12 | -0.02 | 17% | 29 Apr → | |
| cache | 13–6 | -0.04 | 11% | 29 Apr → | |
| cache | 10–13 | 0.00 | 22% | 29 Apr → | |
| cache | 13–10 | -0.01 | 13% | 29 Apr → | |
| cache | 10–13 | -0.00 | 20% | 29 Apr → | |
| dust2 | 13–5 | -0.03 | 20% | 28 Apr → | |
| dust2 | 13–4 | -0.03 | 18% | 28 Apr → | |
| dust2 | 13–9 | 0.03 | 14% | 28 Apr → |
Match data via Leetify.
