Xack — CS2 Stats
ES76561197978207690[U:1:17941962]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 | 44.4% | 47.0% | 48.5% | 4.1% short |
| Shot accuracy | 12.6% | 12.7% | 13.3% | 0.6% short |
| Kill/death ratio | 1.04 | 1.07 | 1.07 | 0.04 short |
| Match win rate | 35.6% | 46.4% | 47.0% | 11.4% short |
This profile sits below the typical Level 9 player on every metric we can compare.
Widest gap: Match win rate. 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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 NiKo 86% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 50% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 634ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 inferno | B | 39 | 19–20 | 49% | -0.01 |
 ancient | S | 24 | 16–8 | 67% | 0.00 |
 overpass | D | 13 | 2–11 | 15% | -0.01 |
 anubis | S | 12 | 9–3 | 75% | 0.02 |
 cache | — | 4 | 3–1 | 75% | -0.00 |
 mirage | — | 3 | 0–3 | 0% | -0.06 |
| office | — | 2 | 2–0 | 100% | 0.04 |
 nuke | — | 1 | 0–1 | 0% | -0.06 |
 dust2 | — | 1 | 0–1 | 0% | -0.10 |
 train | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Overpass 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 57 | 53% | 1.12 | 14.5 |
| Ancient | 44 | 70% | 1.00 | 14.4 |
| Anubis | 39 | 46% | 1.00 | 15.6 |
| Dust2 | 12 | 25% | 0.80 | 12.1 |
| Train | 11 | 36% | 1.02 | 12.3 |
| Overpass | 8 | 50% | 1.00 | 14.3 |
| Mirage | 6 | 50% | 0.75 | 12.7 |
| Nuke | 5 | 40% | 0.73 | 11.2 |
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 25.9986% — 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.
15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–11 | -0.01 | 11% | 26 Aug → | |
| ancient | 5–13 | -0.05 | 19% | 24 Aug → | |
| inferno | 13–6 | -0.04 | 12% | 24 Aug → | |
| inferno | 3–13 | -0.07 | 15% | 21 Aug → | |
| anubis | 13–3 | 0.04 | 21% | 21 Aug → | |
| ancient | 13–3 | 0.06 | 15% | 20 Aug → | |
| inferno | 13–16 | 0.00 | 15% | 20 Aug → | |
| inferno | 5–13 | -0.04 | 13% | 19 Aug → | |
| inferno | 16–14 | -0.01 | 16% | 17 Aug → | |
| ancient | 13–5 | 0.05 | 22% | 6 Aug → | |
| inferno | 13–9 | 0.02 | 16% | 4 Aug → | |
| cache | 15–15 | -0.01 | 17% | 3 Aug → | |
| anubis | 5–13 | 0.00 | 14% | 29 Jul → | |
| ancient | 15–15 | -0.04 | 23% | 28 Jul → | |
| inferno | 13–10 | -0.04 | 13% | 22 Jul → | |
| ancient | 16–14 | -0.05 | 18% | 21 Jul → | |
| anubis | 13–6 | 0.03 | 32% | 15 Jul → | |
| mirage | 10–13 | -0.00 | 10% | 14 Jul → | |
| inferno | 13–5 | -0.09 | 5% | 13 Jul → | |
| nuke | 13–16 | -0.06 | 20% | 13 Jul → | |
| inferno | 6–13 | 0.03 | 26% | 23 Jun → | |
| ancient | 13–6 | -0.03 | 13% | 21 Jun → | |
| mirage | 15–15 | -0.01 | 24% | 21 Jun → | |
| ancient | 10–13 | -0.04 | 21% | 16 Jun → | |
| dust2 | 2–13 | -0.10 | 14% | 16 Jun → | |
| inferno | 3–13 | -0.10 | 22% | 8 Jun → | |
| cache | 13–11 | -0.01 | 24% | 8 Jun → | |
| ancient | 13–2 | -0.02 | 9% | 14 May → | |
| inferno | 13–9 | 0.01 | 15% | 14 May → | |
| ancient | 13–11 | 0.02 | 24% | 5 May → | |
| inferno | 13–7 | -0.00 | 16% | 29 Apr → | |
| cache | 13–11 | 0.02 | 18% | 29 Apr → | |
| inferno | 11–13 | -0.02 | 15% | 9 Apr → | |
| overpass | 8–13 | -0.02 | 21% | 6 Apr → | |
| inferno | 13–5 | 0.06 | 16% | 1 Apr → | |
| ancient | 5–13 | -0.04 | 9% | 24 Mar → | |
| ancient | 13–6 | -0.05 | 13% | 20 Mar → | |
| office | 13–8 | 0.07 | 12% | 19 Mar → | |
| inferno | 7–13 | -0.03 | 29% | 16 Mar → | |
| inferno | 15–15 | -0.00 | 8% | 13 Mar → | |
| ancient | 16–13 | 0.00 | 19% | 11 Mar → | |
| anubis | 10–2 | 0.00 | 10% | 11 Mar → | |
| anubis | 13–7 | 0.11 | 19% | 8 Mar → | |
| inferno | 10–13 | -0.06 | 16% | 2 Mar → | |
| inferno | 7–13 | -0.03 | 10% | 1 Mar → | |
| overpass | 11–13 | -0.02 | 15% | 1 Mar → | |
| inferno | 13–7 | -0.00 | 28% | 22 Feb → | |
| ancient | 13–2 | 0.11 | 14% | 21 Feb → | |
| inferno | 13–1 | 0.09 | 18% | 21 Feb → | |
| ancient | 16–12 | 0.04 | 17% | 21 Feb → | |
| overpass | 13–16 | -0.06 | 17% | 20 Feb → | |
| ancient | 13–6 | 0.04 | 23% | 20 Feb → | |
| ancient | 10–13 | -0.07 | 11% | 20 Feb → | |
| inferno | 9–13 | 0.01 | 32% | 18 Feb → | |
| anubis | 10–13 | 0.08 | 19% | 18 Feb → | |
| inferno | 13–10 | -0.02 | 21% | 13 Feb → | |
| inferno | 11–13 | -0.05 | 22% | 12 Feb → | |
| overpass | 9–13 | -0.05 | 10% | 12 Feb → | |
| anubis | 13–8 | -0.03 | 9% | 4 Feb → | |
| inferno | 13–10 | 0.04 | 9% | 4 Feb → | |
| anubis | 13–4 | -0.03 | 13% | 25 Jan → | |
| anubis | 14–16 | -0.03 | 16% | 19 Jan → | |
| overpass | 12–12 | -0.02 | 14% | 18 Jan → | |
| ancient | 16–13 | 0.03 | 11% | 16 Jan → | |
| anubis | 13–4 | 0.08 | 20% | 16 Jan → | |
| anubis | 13–11 | 0.00 | 29% | 14 Jan → | |
| overpass | 13–8 | 0.01 | 17% | 13 Jan → | |
| ancient | 8–13 | 0.03 | 19% | 11 Jan → | |
| inferno | 7–13 | -0.05 | 25% | 8 Jan → | |
| ancient | 6–13 | -0.07 | 16% | 7 Jan → | |
| inferno | 11–13 | -0.01 | 9% | 3 Jan → | |
| inferno | 13–3 | 0.03 | 11% | 3 Jan → | |
| overpass | 13–16 | 0.00 | 7% | 2 Jan → | |
| overpass | 9–13 | -0.04 | 22% | 2 Jan → | |
| inferno | 4–9 | 0.05 | 21% | 2 Jan → | |
| inferno | 13–7 | -0.03 | 8% | 1 Jan → | |
| overpass | 13–10 | 0.03 | 20% | 29 Dec → | |
| overpass | 13–16 | 0.04 | 18% | 28 Dec → | |
| overpass | 4–13 | -0.03 | 23% | 27 Dec → | |
| inferno | 13–11 | 0.03 | 13% | 26 Dec → | |
| inferno | 11–13 | 0.03 | 12% | 26 Dec → | |
| inferno | 13–5 | 0.01 | 10% | 25 Dec → | |
| ancient | 13–9 | -0.01 | 26% | 24 Dec → | |
| inferno | 13–8 | 0.10 | 11% | 22 Dec → | |
| mirage | 2–13 | -0.17 | 4% | 22 Dec → | |
| ancient | 13–8 | 0.05 | 20% | 21 Dec → | |
| overpass | 11–13 | -0.03 | 28% | 20 Dec → | |
| ancient | 9–13 | -0.01 | 16% | 19 Dec → | |
| ancient | 13–5 | 0.07 | 16% | 19 Dec → | |
| inferno | 4–13 | -0.08 | 19% | 17 Dec → | |
| anubis | 13–9 | 0.03 | 21% | 12 Dec → | |
| inferno | 11–13 | -0.02 | 11% | 10 Dec → | |
| inferno | 9–13 | -0.02 | 7% | 7 Dec → | |
| train | 13–8 | -0.05 | 7% | 7 Dec → | |
| inferno | 13–10 | -0.03 | 11% | 6 Dec → | |
| inferno | 13–9 | 0.00 | 18% | 5 Dec → | |
| inferno | 10–13 | -0.03 | 14% | 3 Dec → | |
| ancient | 13–6 | 0.01 | 10% | 2 Dec → | |
| overpass | 10–13 | -0.01 | 15% | 29 Nov → | |
| office | 13–2 | 0.00 | 19% | 28 Nov → |
Match data via Leetify.
