Вася Киллер 2015 — CS2 Stats
DE76561198894331987[U:1:934066259]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 54.5% | 51.9% |
| Shot accuracy | 3.6% | 13.7% |
| Kill/death ratio | 1.30 | 1.08 |
| Match win rate | 61.0% | 48.7% |
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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.
Sharp aimerExcellent counter-strafingLimited 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 91% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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 92 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 562ms 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 6.7/10 (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 | S | 27 | 20–7 | 74% | 0.04 |
| office | B | 25 | 13–12 | 52% | 0.07 |
 mirage | A | 18 | 11–7 | 61% | 0.08 |
 cache | S | 12 | 11–1 | 92% | 0.09 |
 inferno | C | 5 | 2–3 | 40% | 0.10 |
 ancient | — | 4 | 3–1 | 75% | 0.06 |
 nuke | — | 3 | 1–2 | 33% | -0.02 |
 anubis | — | 2 | 1–1 | 50% | 0.01 |
| eldorado | — | 1 | 1–0 | 100% | 0.04 |
 train | — | 1 | 1–0 | 100% | 0.07 |
 vertigo | — | 1 | 0–1 | 0% | 0.06 |
 overpass | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 5). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 50 | 70% | 1.24 | 16.9 |
| Dust2 | 39 | 90% | 1.42 | 17.6 |
| Nuke | 10 | 90% | 1.38 | 16.9 |
| Inferno | 9 | 56% | 1.30 | 16.0 |
| Ancient | 9 | 44% | 1.05 | 14.0 |
| Anubis | 5 | 80% | 1.80 | 25.0 |
| Train | 2 | 100% | 1.22 | 17.0 |
| Cache | 1 | 100% | 1.00 | 16.0 |
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.
- 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 30.6256% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–3 | 0.06 | 27% | 26 Aug → | |
| ancient | 6–13 | 0.08 | 20% | 19 Aug → | |
| mirage | 13–7 | 0.08 | 19% | 18 Aug → | |
| nuke | 7–13 | -0.07 | 32% | 5 Aug → | |
| mirage | 12–12 | -0.02 | 20% | 3 Aug → | |
| dust2 | 2–13 | -0.03 | 15% | 22 Jul → | |
| dust2 | 13–1 | 0.05 | 23% | 22 Jul → | |
| mirage | 13–11 | 0.07 | 23% | 21 Jul → | |
| ancient | 13–11 | 0.03 | 18% | 21 Jul → | |
| dust2 | 10–13 | 0.05 | 21% | 20 Jul → | |
| mirage | 6–13 | 0.07 | 21% | 19 Jul → | |
| eldorado | 9–2 | 0.04 | 22% | 19 Jul → | |
| office | 10–13 | 0.07 | 21% | 19 Jul → | |
| cache | 13–4 | 0.04 | 34% | 18 Jul → | |
| inferno | 13–9 | 0.05 | 27% | 15 Jul → | |
| dust2 | 1–13 | -0.04 | 11% | 13 Jul → | |
| cache | 16–14 | 0.09 | 28% | 12 Jul → | |
| dust2 | 6–0 | 0.07 | 13% | 12 Jul → | |
| dust2 | 13–8 | 0.01 | 22% | 12 Jul → | |
| inferno | 7–13 | 0.08 | 15% | 8 Jul → | |
| office | 5–13 | 0.06 | 46% | 7 Jul → | |
| dust2 | 13–5 | 0.03 | 12% | 7 Jul → | |
| ancient | 13–4 | -0.01 | 26% | 7 Jul → | |
| office | 12–12 | 0.13 | 28% | 5 Jul → | |
| dust2 | 13–4 | 0.04 | 17% | 5 Jul → | |
| office | 3–13 | -0.04 | 17% | 5 Jul → | |
| office | 13–4 | 0.06 | 27% | 5 Jul → | |
| mirage | 13–11 | 0.07 | 29% | 3 Jul → | |
| dust2 | 0–2 | -0.02 | 50% | 3 Jul → | |
| office | 5–13 | 0.09 | 30% | 2 Jul → | |
| inferno | 9–2 | 0.21 | 23% | 2 Jul → | |
| office | 8–13 | 0.08 | 20% | 2 Jul → | |
| dust2 | 13–4 | 0.11 | 24% | 1 Jul → | |
| office | 13–3 | 0.19 | 24% | 30 Jun → | |
| cache | 13–6 | 0.06 | 35% | 26 Jun → | |
| dust2 | 13–9 | -0.01 | 18% | 24 Jun → | |
| office | 13–4 | 0.02 | 29% | 24 Jun → | |
| cache | 13–6 | 0.10 | 19% | 22 Jun → | |
| mirage | 13–5 | 0.11 | 22% | 22 Jun → | |
| office | 1–13 | -0.01 | 21% | 22 Jun → | |
| cache | 13–6 | 0.04 | 29% | 20 Jun → | |
| office | 13–5 | 0.12 | 48% | 20 Jun → | |
| mirage | 8–13 | 0.01 | 17% | 18 Jun → | |
| train | 13–8 | 0.07 | 35% | 17 Jun → | |
| office | 13–10 | 0.05 | 18% | 14 Jun → | |
| dust2 | 13–11 | 0.14 | 33% | 14 Jun → | |
| dust2 | 13–7 | 0.03 | 22% | 10 Jun → | |
| cache | 13–10 | 0.05 | 30% | 10 Jun → | |
| vertigo | 10–13 | 0.06 | 28% | 5 Jun → | |
| office | 9–13 | 0.01 | 26% | 1 Jun → | |
| cache | 13–10 | 0.14 | 34% | 31 May → | |
| office | 13–0 | 0.06 | 18% | 31 May → | |
| mirage | 8–13 | 0.11 | 26% | 29 May → | |
| dust2 | 13–9 | 0.17 | 34% | 29 May → | |
| cache | 13–9 | 0.03 | 25% | 29 May → | |
| cache | 13–1 | 0.21 | 28% | 27 May → | |
| mirage | 13–10 | 0.10 | 21% | 27 May → | |
| dust2 | 13–7 | 0.07 | 20% | 26 May → | |
| mirage | 13–7 | 0.06 | 27% | 25 May → | |
| mirage | 13–6 | -0.00 | 29% | 23 May → | |
| office | 13–5 | 0.03 | 32% | 23 May → | |
| cache | 10–1 | 0.09 | 38% | 23 May → | |
| dust2 | 13–7 | -0.04 | 24% | 20 May → | |
| office | 13–10 | 0.13 | 32% | 20 May → | |
| cache | 13–7 | 0.15 | 16% | 20 May → | |
| ancient | 13–5 | 0.15 | 36% | 15 May → | |
| dust2 | 13–2 | 0.19 | 22% | 13 May → | |
| inferno | 4–9 | 0.08 | 35% | 12 May → | |
| dust2 | 13–7 | 0.02 | 27% | 11 May → | |
| inferno | 7–13 | 0.07 | 20% | 11 May → | |
| cache | 11–13 | 0.04 | 22% | 11 May → | |
| office | 13–3 | 0.04 | 31% | 10 May → | |
| mirage | 13–2 | 0.12 | 21% | 9 May → | |
| nuke | 11–13 | 0.03 | 11% | 8 May → | |
| mirage | 12–12 | 0.03 | 24% | 28 Apr → | |
| dust2 | 13–9 | 0.05 | 26% | 27 Apr → | |
| office | 13–7 | -0.00 | 24% | 11 Apr → | |
| mirage | 13–5 | 0.32 | 20% | 10 Apr → | |
| office | 13–2 | 0.12 | 26% | 10 Apr → | |
| office | 8–13 | 0.22 | 23% | 10 Apr → | |
| anubis | 12–12 | -0.03 | 21% | 9 Apr → | |
| dust2 | 13–4 | 0.07 | 11% | 9 Apr → | |
| office | 10–13 | 0.08 | 27% | 9 Apr → | |
| overpass | 13–3 | 0.09 | 16% | 9 Apr → | |
| mirage | 13–11 | 0.15 | 19% | 2 Apr → | |
| anubis | 13–9 | 0.05 | 18% | 29 Mar → | |
| office | 12–12 | -0.03 | 19% | 25 Mar → | |
| office | 5–13 | -0.02 | 29% | 21 Mar → | |
| dust2 | 13–6 | 0.01 | 11% | 10 Mar → | |
| dust2 | 10–13 | 0.05 | 22% | 27 Feb → | |
| dust2 | 13–3 | 0.08 | 16% | 27 Feb → | |
| dust2 | 13–6 | -0.00 | 20% | 26 Feb → | |
| dust2 | 13–10 | 0.02 | 25% | 25 Feb → | |
| mirage | 6–13 | 0.09 | 29% | 25 Feb → | |
| office | 13–8 | 0.04 | 25% | 25 Feb → | |
| nuke | 13–7 | -0.01 | 9% | 25 Feb → | |
| mirage | 11–13 | 0.10 | 31% | 25 Feb → | |
| dust2 | 5–13 | 0.01 | 15% | 25 Feb → | |
| dust2 | 12–12 | 0.03 | 17% | 24 Feb → | |
| office | 13–4 | 0.17 | 30% | 24 Feb → |
Match data via Leetify.
