Zexicore — CS2 Stats
US76561198125407000[U:1:165141272]Steam profile ↗VAC banned
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 40.9% | 42.7% | 44.0% | 3.2% short |
| Shot accuracy | 19.8% | 10.8% | 11.6% | above |
| Kill/death ratio | 1.25 | 1.00 | 1.03 | above |
| Match win rate | 49.6% | 44.1% | 45.1% | above |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependenceHigh utility contribution
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 89% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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
Strengths
Utility. Utility score of 78 — grenade impact well above the norm.
Areas to improve
Reaction time. 664ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 27 | 12–15 | 44% | 0.05 | |
| C | 19 | 8–11 | 42% | 0.04 | |
| D | 11 | 3–8 | 27% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.11 | |
| D | 8 | 1–7 | 13% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| agency | — | 2 | 0–2 | 0% | -0.02 |
| jura | — | 2 | 0–2 | 0% | 0.11 |
| — | 2 | 0–2 | 0% | -0.00 | |
| thera | — | 2 | 1–1 | 50% | 0.10 |
| grail | — | 1 | 0–1 | 0% | 0.01 |
| office | — | 1 | 1–0 | 100% | -0.00 |
| basalt | — | 1 | 0–1 | 0% | 0.01 |
| edin | — | 1 | 1–0 | 100% | 0.06 |
| palais | — | 1 | 0–1 | 0% | -0.08 |
| mills | — | 1 | 1–0 | 100% | -0.01 |
| italy | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Vertigo 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 67% | 1.41 | 18.0 |
| Vertigo | 3 | 0% | 1.00 | 15.3 |
| Nuke | 3 | 67% | 1.37 | 18.0 |
| Inferno | 1 | 100% | 0.65 | 13.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.2782° — above the 12° mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5435 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.03 | 21% | 4 Jul → | ||
| 15–15 | -0.02 | 21% | 2 Jul → | ||
| 12–12 | 0.07 | 16% | 2 Jul → | ||
| 13–4 | -0.02 | 24% | 2 Jul → | ||
| 13–9 | 0.17 | 31% | 19 Jun → | ||
| 6–13 | -0.04 | 16% | 19 Jun → | ||
| agency | 2–13 | -0.03 | 13% | 19 Jun → | |
| 9–7 | 0.04 | 21% | 18 Jun → | ||
| jura | 11–13 | 0.15 | 12% | 17 Jun → | |
| 4–13 | -0.04 | 17% | 17 Jun → | ||
| 7–13 | 0.01 | 29% | 17 Jun → | ||
| 13–11 | -0.05 | 10% | 17 Jun → | ||
| 2–13 | -0.05 | 17% | 17 Jun → | ||
| 4–13 | 0.07 | 17% | 17 Jun → | ||
| 13–9 | 0.10 | 15% | 7 Jun → | ||
| 16–14 | 0.04 | 27% | 7 Jun → | ||
| 8–1 | 0.01 | 26% | 7 Jun → | ||
| jura | 5–13 | 0.06 | 16% | 7 Jun → | |
| 9–4 | 0.21 | 7% | 7 Jun → | ||
| 13–9 | 0.05 | 26% | 5 Jun → | ||
| 9–13 | -0.07 | 18% | 5 Jun → | ||
| grail | 8–13 | 0.01 | 16% | 5 Jun → | |
| 4–13 | -0.02 | 13% | 5 Jun → | ||
| 13–10 | 0.00 | 19% | 4 Jun → | ||
| 13–9 | 0.14 | 17% | 4 Jun → | ||
| 13–9 | 0.14 | 12% | 4 Jun → | ||
| 13–2 | 0.03 | 24% | 4 Jun → | ||
| 9–13 | 0.03 | 27% | 4 Jun → | ||
| 12–16 | 0.02 | 23% | 3 Jun → | ||
| 11–13 | 0.11 | 34% | 3 Jun → | ||
| 11–13 | 0.02 | 19% | 3 Jun → | ||
| 2–13 | -0.01 | 27% | 3 Jun → | ||
| 13–8 | 0.07 | 17% | 2 Jun → | ||
| 13–6 | 0.06 | 11% | 2 Jun → | ||
| 13–10 | 0.02 | 26% | 2 Jun → | ||
| 13–4 | 0.03 | 11% | 2 Jun → | ||
| 6–13 | -0.02 | 25% | 2 Jun → | ||
| 14–16 | 0.07 | 29% | 31 May → | ||
| 7–13 | 0.07 | 21% | 31 May → | ||
| 13–8 | 0.15 | 28% | 30 May → | ||
| 3–13 | 0.07 | 23% | 30 May → | ||
| 6–13 | 0.04 | 15% | 29 May → | ||
| 13–7 | 0.09 | 19% | 28 May → | ||
| 7–13 | 0.05 | 20% | 28 May → | ||
| 9–1 | 0.24 | 20% | 27 May → | ||
| 7–9 | 0.01 | 30% | 27 May → | ||
| 4–13 | 0.01 | 10% | 27 May → | ||
| 13–8 | 0.07 | 29% | 27 May → | ||
| 8–2 | 0.04 | 25% | 27 May → | ||
| 7–0 | 0.15 | 18% | 27 May → | ||
| 6–13 | 0.04 | 14% | 27 May → | ||
| 13–8 | 0.15 | 27% | 20 May → | ||
| 8–13 | -0.07 | 12% | 20 May → | ||
| 10–13 | 0.03 | 22% | 20 May → | ||
| agency | 7–13 | -0.01 | 22% | 17 May → | |
| office | 13–10 | -0.00 | 24% | 16 May → | |
| 7–13 | 0.08 | 18% | 16 May → | ||
| 8–8 | 0.03 | 31% | 16 May → | ||
| 9–13 | 0.07 | 28% | 24 Mar → | ||
| 8–13 | 0.03 | 23% | 24 Mar → | ||
| 12–12 | 0.00 | 12% | 24 Mar → | ||
| 7–13 | 0.02 | 17% | 20 Feb → | ||
| 13–8 | 0.02 | 37% | 20 Feb → | ||
| 8–13 | 0.02 | 9% | 9 Feb → | ||
| 4–13 | -0.07 | 11% | 9 Feb → | ||
| 13–6 | 0.08 | 16% | 7 Feb → | ||
| 11–13 | -0.02 | 19% | 7 Feb → | ||
| 11–13 | -0.03 | 19% | 7 Feb → | ||
| 12–12 | -0.01 | 19% | 3 Feb → | ||
| 6–13 | -0.05 | 14% | 3 Feb → | ||
| 6–13 | -0.03 | 18% | 10 Jan → | ||
| 5–13 | -0.00 | 19% | 10 Jan → | ||
| basalt | 10–13 | 0.01 | 18% | 7 Jan → | |
| edin | 13–7 | 0.06 | 16% | 7 Jan → | |
| 11–13 | 0.02 | 33% | 7 Jan → | ||
| palais | 4–9 | -0.08 | 17% | 14 Nov → | |
| 9–13 | -0.02 | 58% | 13 Nov → | ||
| mills | 8–6 | -0.01 | 57% | 13 Nov → | |
| 2–13 | -0.07 | 14% | 13 Nov → | ||
| 4–13 | 0.05 | 19% | 13 Nov → | ||
| 13–7 | 0.07 | 12% | 12 Nov → | ||
| 13–6 | 0.07 | 12% | 11 Nov → | ||
| 12–12 | 0.19 | 35% | 10 Nov → | ||
| 10–13 | 0.13 | 22% | 10 Nov → | ||
| 13–5 | 0.04 | 23% | 10 Nov → | ||
| 7–9 | 0.02 | 21% | 8 Nov → | ||
| 8–8 | 0.12 | 36% | 8 Nov → | ||
| 9–3 | 0.20 | 16% | 8 Nov → | ||
| 6–13 | 0.06 | 28% | 8 Nov → | ||
| italy | 8–13 | 0.02 | 26% | 6 Nov → | |
| thera | 13–6 | 0.13 | 24% | 6 Nov → | |
| 12–12 | 0.02 | 21% | 6 Nov → | ||
| 1–13 | -0.01 | 25% | 6 Nov → | ||
| 4–13 | 0.01 | 21% | 6 Nov → | ||
| 13–11 | 0.09 | 22% | 5 Nov → | ||
| 12–12 | -0.02 | 23% | 5 Nov → | ||
| 9–13 | 0.07 | 24% | 5 Nov → | ||
| 13–10 | 0.05 | 25% | 4 Nov → | ||
| 7–13 | -0.00 | 20% | 4 Nov → | ||
| thera | 10–13 | 0.06 | 23% | 4 Nov → |
Match data via Leetify.
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