V-KILLER — CS2 Stats
76561198354504371[U:1:394238643]✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=917), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 28.5% | 39.7% | 41.4% | 13.0% short |
| Shot accuracy | 15.2% | 6.7% | 9.0% | above |
| Kill/death ratio | 1.04 | 0.91 | 0.97 | above |
| Match win rate | 33.4% | 42.1% | 43.7% | 10.3% short |
This profile matches the typical Blue band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Blue 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 · +0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
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 73% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; lower aim profile.
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
Reaction time. 684ms 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 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | A | 27 | 15–12 | 56% | 0.01 |
 inferno | D | 25 | 8–17 | 32% | 0.02 |
 dust2 | B | 20 | 10–10 | 50% | 0.01 |
 anubis | C | 8 | 3–5 | 38% | -0.00 |
 nuke | C | 7 | 3–4 | 43% | 0.04 |
 train | D | 5 | 1–4 | 20% | -0.01 |
 overpass | — | 4 | 2–2 | 50% | -0.06 |
 ancient | — | 3 | 2–1 | 67% | 0.02 |
 vertigo | — | 1 | 0–1 | 0% | 0.00 |
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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 3 | 33% | 0.72 | 9.0 |
| Mirage | 1 | 0% | 0.56 | 9.0 |
| Ancient | 1 | 0% | 0.36 | 5.0 |
| Anubis | 1 | 0% | 0.69 | 11.0 |
| Nuke | 1 | 100% | 0.14 | 1.0 |
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
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 11.2516% — below the 15% 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 31.3156% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 9–13 | -0.02 | 4% | 20 Jun → | |
| anubis | 8–13 | 0.00 | 7% | 14 Jun → | |
| inferno | 13–16 | 0.00 | 6% | 11 Jun → | |
| inferno | 8–13 | -0.03 | 18% | 11 Jun → | |
| overpass | 3–13 | -0.07 | 9% | 7 Jun → | |
| mirage | 1–13 | -0.05 | 15% | 7 Jun → | |
| dust2 | 13–10 | 0.07 | 16% | 7 Jun → | |
| mirage | 13–11 | -0.06 | 8% | 7 Jun → | |
| dust2 | 13–7 | -0.02 | 15% | 5 Jun → | |
| nuke | 8–13 | 0.01 | 9% | 5 Jun → | |
| mirage | 13–5 | 0.10 | 7% | 5 Jun → | |
| inferno | 3–4 | -0.12 | 25% | 24 May → | |
| mirage | 13–6 | 0.00 | 8% | 24 May → | |
| dust2 | 3–13 | -0.14 | 25% | 24 May → | |
| overpass | 13–8 | -0.05 | 6% | 17 May → | |
| dust2 | 13–9 | 0.04 | 8% | 17 May → | |
| mirage | 7–13 | -0.05 | 3% | 17 May → | |
| dust2 | 7–13 | -0.01 | 15% | 15 May → | |
| inferno | 7–13 | -0.02 | 16% | 15 Mar → | |
| dust2 | 5–13 | -0.06 | 4% | 14 Mar → | |
| mirage | 10–13 | -0.05 | 12% | 13 Mar → | |
| inferno | 1–13 | -0.06 | 29% | 13 Mar → | |
| mirage | 13–7 | -0.00 | 7% | 1 Mar → | |
| dust2 | 13–9 | 0.03 | 9% | 26 Feb → | |
| inferno | 11–13 | 0.06 | 6% | 24 Feb → | |
| inferno | 12–16 | 0.01 | 13% | 13 Feb → | |
| mirage | 13–3 | 0.07 | 15% | 4 Feb → | |
| anubis | 13–10 | -0.02 | 13% | 23 Jan → | |
| overpass | 13–7 | -0.02 | 4% | 23 Jan → | |
| dust2 | 8–13 | 0.02 | 26% | 15 Jan → | |
| overpass | 1–13 | -0.08 | 9% | 15 Jan → | |
| dust2 | 15–15 | 0.01 | 7% | 27 Dec → | |
| dust2 | 6–13 | 0.04 | 12% | 27 Dec → | |
| mirage | 6–13 | 0.01 | 24% | 6 Nov → | |
| mirage | 6–13 | 0.02 | 18% | 1 Nov → | |
| dust2 | 13–5 | 0.01 | 7% | 26 Oct → | |
| inferno | 13–3 | 0.07 | 16% | 25 Oct → | |
| vertigo | 2–13 | 0.00 | 8% | 15 Jul → | |
| mirage | 13–8 | -0.01 | 16% | 6 Jul → | |
| train | 5–13 | -0.05 | 16% | 3 Jul → | |
| nuke | 8–13 | 0.08 | 10% | 30 Jun → | |
| mirage | 6–13 | -0.05 | 7% | 29 Jun → | |
| ancient | 13–5 | 0.04 | 18% | 29 Jun → | |
| inferno | 7–13 | 0.04 | 14% | 24 Jun → | |
| inferno | 8–13 | -0.05 | 9% | 23 Jun → | |
| dust2 | 4–13 | -0.04 | 15% | 22 Jun → | |
| inferno | 6–13 | -0.05 | 14% | 21 Jun → | |
| anubis | 8–13 | -0.01 | 10% | 21 Jun → | |
| inferno | 13–9 | -0.00 | 12% | 16 Jun → | |
| ancient | 13–10 | 0.04 | 9% | 16 Jun → | |
| dust2 | 13–11 | 0.02 | 10% | 16 Jun → | |
| inferno | 11–13 | 0.04 | 7% | 16 Jun → | |
| mirage | 13–6 | 0.13 | 8% | 16 Jun → | |
| inferno | 6–13 | 0.10 | 13% | 16 Jun → | |
| mirage | 10–13 | 0.01 | 13% | 14 Jun → | |
| dust2 | 13–11 | 0.01 | 10% | 14 Jun → | |
| mirage | 13–2 | 0.01 | 12% | 14 Jun → | |
| nuke | 13–8 | 0.05 | 11% | 14 Jun → | |
| anubis | 9–13 | -0.03 | 6% | 14 Jun → | |
| inferno | 13–9 | 0.02 | 7% | 13 Jun → | |
| nuke | 13–10 | 0.01 | 13% | 13 Jun → | |
| inferno | 11–13 | -0.01 | 22% | 13 Jun → | |
| dust2 | 16–14 | -0.00 | 15% | 10 Jun → | |
| mirage | 1–13 | -0.06 | 7% | 10 Jun → | |
| inferno | 16–14 | -0.01 | 11% | 8 Jun → | |
| mirage | 13–6 | 0.10 | 8% | 8 Jun → | |
| dust2 | 15–15 | 0.04 | 18% | 8 Jun → | |
| dust2 | 13–7 | 0.13 | 12% | 8 Jun → | |
| inferno | 13–4 | 0.12 | 20% | 2 Jun → | |
| anubis | 16–12 | -0.01 | 8% | 1 Jun → | |
| mirage | 13–9 | 0.02 | 8% | 1 Jun → | |
| mirage | 13–1 | 0.01 | 4% | 31 May → | |
| nuke | 7–13 | -0.06 | 5% | 30 May → | |
| inferno | 13–8 | 0.00 | 14% | 24 May → | |
| anubis | 15–15 | 0.02 | 15% | 24 May → | |
| inferno | 6–13 | 0.01 | 6% | 24 May → | |
| dust2 | 9–13 | 0.02 | 15% | 24 May → | |
| anubis | 10–13 | -0.02 | 9% | 20 May → | |
| train | 13–1 | 0.06 | 15% | 20 May → | |
| dust2 | 13–2 | 0.02 | 6% | 19 May → | |
| dust2 | 13–16 | 0.01 | 9% | 18 May → | |
| inferno | 6–13 | 0.06 | 4% | 18 May → | |
| inferno | 11–13 | 0.20 | 12% | 17 May → | |
| inferno | 6–13 | -0.04 | 7% | 16 May → | |
| train | 2–13 | -0.03 | 5% | 16 May → | |
| anubis | 13–9 | 0.04 | 7% | 16 May → | |
| mirage | 13–7 | -0.02 | 2% | 16 May → | |
| mirage | 9–13 | -0.02 | 7% | 16 May → | |
| mirage | 8–13 | -0.09 | 13% | 16 May → | |
| inferno | 13–8 | 0.08 | 16% | 11 May → | |
| mirage | 7–13 | 0.02 | 11% | 11 May → | |
| mirage | 13–10 | 0.03 | 19% | 30 Apr → | |
| train | 8–13 | -0.02 | 10% | 30 Apr → | |
| mirage | 13–9 | 0.05 | 18% | 27 Apr → | |
| nuke | 9–13 | 0.04 | 8% | 27 Apr → | |
| inferno | 13–6 | 0.08 | 4% | 26 Apr → | |
| train | 9–13 | -0.01 | 6% | 21 Apr → | |
| nuke | 13–9 | 0.12 | 15% | 21 Apr → | |
| mirage | 13–3 | 0.02 | 17% | 20 Apr → | |
| mirage | 9–13 | 0.04 | 17% | 19 Apr → |
Match data via Leetify.
