Xакерзин — CS2 Stats
RU76561198317542549[U:1:357276821]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 49.8% | 48.5% | 51.9% | 2.1% short |
| Shot accuracy | 15.8% | 13.3% | 13.7% | above |
| Kill/death ratio | 0.92 | 1.07 | 1.08 | 0.17 short |
| Match win rate | 48.7% | 47.0% | 48.7% | meets |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 device 96% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 6.7/10 (Solid), 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 |
|---|---|---|---|---|---|
 dust2 | S | 30 | 20–10 | 67% | 0.03 |
 mirage | C | 29 | 12–17 | 41% | -0.01 |
 ancient | C | 12 | 5–7 | 42% | -0.02 |
 anubis | B | 10 | 5–5 | 50% | 0.01 |
 nuke | B | 6 | 3–3 | 50% | -0.01 |
 cache | A | 5 | 3–2 | 60% | 0.02 |
 inferno | — | 4 | 4–0 | 100% | 0.01 |
 overpass | — | 3 | 2–1 | 67% | 0.03 |
 vertigo | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (41% over 29). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 362 | 52% | 1.12 | 16.4 |
| Dust2 | 275 | 45% | 1.07 | 15.1 |
| Ancient | 128 | 52% | 1.03 | 15.2 |
| Inferno | 72 | 42% | 0.94 | 15.2 |
| Anubis | 60 | 48% | 0.98 | 14.6 |
| Nuke | 47 | 49% | 1.04 | 15.6 |
| Cache | 30 | 53% | 1.24 | 18.0 |
| Vertigo | 19 | 74% | 1.20 | 17.5 |
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.
41% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–7 | 0.02 | 23% | 28 Aug → | |
| dust2 | 16–14 | 0.05 | 36% | 27 Aug → | |
| ancient | 13–11 | 0.01 | 26% | 25 Aug → | |
| mirage | 11–13 | 0.06 | 23% | 24 Aug → | |
| dust2 | 5–13 | 0.02 | 35% | 22 Aug → | |
| dust2 | 13–2 | 0.05 | 47% | 20 Aug → | |
| dust2 | 3–1 | -0.04 | 33% | 20 Aug → | |
| mirage | 14–16 | -0.01 | 18% | 20 Aug → | |
| dust2 | 13–9 | 0.01 | 24% | 20 Aug → | |
| ancient | 10–13 | 0.02 | 16% | 19 Aug → | |
| vertigo | 13–9 | -0.00 | 15% | 19 Aug → | |
| mirage | 5–13 | -0.05 | 28% | 19 Aug → | |
| anubis | 2–13 | -0.00 | 32% | 15 Aug → | |
| inferno | 13–9 | -0.01 | 32% | 14 Aug → | |
| cache | 8–13 | -0.00 | 22% | 14 Aug → | |
| ancient | 11–13 | 0.00 | 22% | 12 Aug → | |
| mirage | 13–1 | 0.10 | 22% | 12 Aug → | |
| cache | 14–16 | 0.05 | 13% | 9 Aug → | |
| dust2 | 13–10 | 0.01 | 8% | 6 Aug → | |
| inferno | 16–14 | -0.01 | 28% | 5 Aug → | |
| dust2 | 8–13 | 0.01 | 31% | 23 Jul → | |
| dust2 | 7–13 | 0.06 | 17% | 13 Jul → | |
| mirage | 11–13 | 0.01 | 9% | 13 Jul → | |
| dust2 | 13–1 | 0.04 | 12% | 9 Jul → | |
| mirage | 13–9 | 0.03 | 28% | 9 Jul → | |
| mirage | 6–13 | -0.05 | 35% | 9 Jul → | |
| dust2 | 1–13 | -0.02 | 36% | 8 Jul → | |
| ancient | 6–13 | -0.07 | 24% | 6 Jul → | |
| dust2 | 7–13 | -0.04 | 17% | 3 Jul → | |
| dust2 | 13–10 | -0.00 | 17% | 2 Jul → | |
| mirage | 13–7 | -0.02 | 19% | 2 Jul → | |
| dust2 | 9–13 | 0.03 | 34% | 30 Jun → | |
| mirage | 13–5 | -0.01 | 23% | 30 Jun → | |
| dust2 | 13–10 | 0.04 | 28% | 27 Jun → | |
| ancient | 13–11 | -0.02 | 13% | 25 Jun → | |
| dust2 | 16–13 | -0.03 | 32% | 25 Jun → | |
| nuke | 13–6 | 0.04 | 30% | 23 Jun → | |
| dust2 | 13–5 | 0.05 | 35% | 22 Jun → | |
| mirage | 6–13 | -0.03 | 26% | 22 Jun → | |
| overpass | 13–9 | -0.01 | 16% | 19 Jun → | |
| mirage | 4–13 | 0.04 | 22% | 16 Jun → | |
| dust2 | 13–6 | 0.02 | 28% | 13 Jun → | |
| mirage | 4–13 | -0.07 | 29% | 11 Jun → | |
| anubis | 13–8 | 0.03 | 29% | 11 Jun → | |
| mirage | 3–13 | 0.02 | 15% | 10 Jun → | |
| mirage | 8–13 | -0.05 | 20% | 10 Jun → | |
| mirage | 0–10 | -0.27 | 0% | 7 Jun → | |
| anubis | 1–9 | 0.03 | 24% | 5 Jun → | |
| anubis | 10–13 | -0.01 | 25% | 3 Jun → | |
| anubis | 13–9 | 0.05 | 12% | 3 Jun → | |
| inferno | 13–3 | 0.12 | 21% | 3 Jun → | |
| dust2 | 13–11 | -0.00 | 18% | 1 Jun → | |
| anubis | 13–8 | 0.04 | 19% | 31 May → | |
| nuke | 9–13 | -0.07 | 17% | 29 May → | |
| cache | 16–14 | 0.01 | 16% | 28 May → | |
| mirage | 13–2 | 0.13 | 26% | 27 May → | |
| overpass | 15–15 | 0.01 | 29% | 24 May → | |
| mirage | 13–16 | 0.09 | 20% | 23 May → | |
| dust2 | 10–13 | -0.04 | 30% | 23 May → | |
| dust2 | 13–3 | 0.06 | 25% | 16 May → | |
| ancient | 9–13 | 0.01 | 18% | 14 May → | |
| mirage | 13–8 | -0.08 | 31% | 14 May → | |
| anubis | 13–2 | 0.11 | 17% | 10 May → | |
| anubis | 13–6 | -0.02 | 16% | 8 May → | |
| ancient | 13–7 | -0.04 | 15% | 29 Apr → | |
| cache | 13–10 | 0.01 | 20% | 29 Apr → | |
| cache | 13–2 | 0.06 | 35% | 29 Apr → | |
| nuke | 13–11 | 0.04 | 14% | 28 Apr → | |
| ancient | 8–13 | -0.05 | 20% | 28 Apr → | |
| dust2 | 9–13 | -0.03 | 27% | 27 Apr → | |
| dust2 | 13–8 | 0.05 | 30% | 24 Apr → | |
| dust2 | 9–13 | 0.11 | 26% | 22 Apr → | |
| mirage | 7–13 | 0.02 | 27% | 22 Apr → | |
| ancient | 9–13 | 0.02 | 23% | 21 Apr → | |
| ancient | 10–13 | -0.06 | 18% | 21 Apr → | |
| nuke | 8–13 | -0.03 | 27% | 21 Apr → | |
| mirage | 11–13 | -0.04 | 24% | 20 Apr → | |
| dust2 | 13–2 | 0.16 | 30% | 20 Apr → | |
| ancient | 13–9 | -0.02 | 14% | 19 Apr → | |
| mirage | 13–7 | 0.03 | 24% | 15 Apr → | |
| mirage | 13–16 | -0.02 | 28% | 15 Apr → | |
| overpass | 13–5 | 0.08 | 22% | 14 Apr → | |
| dust2 | 13–9 | -0.01 | 13% | 10 Apr → | |
| nuke | 13–16 | -0.03 | 11% | 10 Apr → | |
| ancient | 13–11 | -0.00 | 38% | 8 Apr → | |
| mirage | 5–13 | -0.05 | 24% | 7 Apr → | |
| nuke | 16–13 | -0.00 | 24% | 7 Apr → | |
| dust2 | 14–16 | -0.03 | 26% | 7 Apr → | |
| mirage | 13–7 | 0.04 | 18% | 6 Apr → | |
| anubis | 4–13 | -0.07 | 29% | 6 Apr → | |
| dust2 | 13–5 | 0.05 | 27% | 6 Apr → | |
| mirage | 1–13 | -0.08 | 19% | 3 Apr → | |
| inferno | 13–9 | -0.05 | 27% | 2 Apr → | |
| mirage | 11–0 | 0.01 | 15% | 2 Apr → | |
| mirage | 13–6 | 0.08 | 18% | 2 Apr → | |
| dust2 | 13–4 | 0.05 | 45% | 2 Apr → | |
| mirage | 9–3 | -0.01 | 7% | 2 Apr → | |
| anubis | 11–13 | -0.03 | 13% | 1 Apr → | |
| dust2 | 16–14 | 0.05 | 17% | 1 Apr → | |
| dust2 | 13–9 | 0.09 | 20% | 31 Mar → |
Match data via Leetify.