Zeus — CS2 Stats
76561199083940414[U:1:1123674686]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 37.5% | 42.1% | 42.1% | 4.6% short |
| Shot accuracy | 8.3% | 12.9% | 12.1% | 3.8% short |
| Kill/death ratio | 0.91 | 1.00 | 0.99 | 0.08 short |
| Match win rate | 40.4% | 42.9% | 43.9% | 3.5% short |
This profile sits below the typical Level 3 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 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: +0pp win rate · +0.04 avg rating
Player DNA
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 87% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Areas to improve
T-side openings. Opening success drops from 45% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 726ms 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 5.5/10 (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 |
|---|---|---|---|---|---|
 cache | B | 37 | 18–19 | 49% | 0.00 |
 train | A | 23 | 14–9 | 61% | 0.00 |
 dust2 | B | 8 | 4–4 | 50% | -0.01 |
 mirage | A | 7 | 4–3 | 57% | -0.00 |
 vertigo | B | 6 | 3–3 | 50% | 0.07 |
 ancient | — | 4 | 3–1 | 75% | 0.05 |
 anubis | — | 4 | 3–1 | 75% | 0.04 |
 inferno | — | 4 | 1–3 | 25% | 0.01 |
 overpass | — | 3 | 3–0 | 100% | -0.00 |
 nuke | — | 2 | 1–1 | 50% | -0.00 |
| office | — | 2 | 0–2 | 0% | -0.02 |
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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 100% | 0.88 | 15.0 |
| Nuke | 1 | 0% | 0.67 | 10.0 |
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 12.6149% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 725.753ms — above the 700ms 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 23.9509% — 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.
49% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| train | 5–13 | -0.02 | 9% | 17 Aug → | |
| train | 9–13 | -0.04 | 20% | 16 Aug → | |
| dust2 | 13–10 | 0.01 | 22% | 6 Aug → | |
| ancient | 13–9 | 0.11 | 15% | 6 Aug → | |
| dust2 | 9–13 | -0.10 | 14% | 3 Aug → | |
| cache | 8–13 | 0.03 | 10% | 30 Jul → | |
| mirage | 0–6 | -0.04 | 17% | 30 Jul → | |
| vertigo | 13–3 | 0.16 | 15% | 30 Jul → | |
| cache | 13–6 | 0.02 | 8% | 27 Jul → | |
| anubis | 13–5 | 0.05 | 9% | 27 Jul → | |
| anubis | 13–4 | 0.08 | 13% | 26 Jul → | |
| cache | 13–11 | -0.04 | 6% | 21 Jul → | |
| cache | 8–13 | -0.10 | 23% | 19 Jul → | |
| cache | 12–12 | 0.02 | 8% | 19 Jul → | |
| cache | 13–11 | -0.02 | 16% | 17 Jul → | |
| overpass | 13–6 | -0.03 | 27% | 16 Jul → | |
| cache | 13–6 | -0.02 | 11% | 15 Jul → | |
| cache | 8–13 | 0.00 | 8% | 13 Jul → | |
| dust2 | 3–13 | -0.08 | 7% | 12 Jul → | |
| vertigo | 10–13 | -0.05 | 7% | 12 Jul → | |
| inferno | 6–13 | -0.04 | 2% | 11 Jul → | |
| nuke | 7–13 | -0.09 | 10% | 11 Jul → | |
| mirage | 13–10 | 0.02 | 7% | 11 Jul → | |
| dust2 | 6–13 | -0.05 | 14% | 11 Jul → | |
| ancient | 13–11 | 0.05 | 15% | 11 Jul → | |
| mirage | 13–1 | 0.00 | 13% | 11 Jul → | |
| cache | 10–13 | -0.00 | 14% | 9 Jul → | |
| train | 13–5 | -0.08 | 5% | 9 Jul → | |
| cache | 13–10 | -0.05 | 13% | 9 Jul → | |
| inferno | 5–13 | -0.04 | 21% | 8 Jul → | |
| office | 12–12 | 0.02 | 0% | 8 Jul → | |
| office | 11–13 | -0.06 | 19% | 8 Jul → | |
| cache | 11–13 | -0.03 | 15% | 3 Jul → | |
| cache | 12–12 | 0.01 | 11% | 2 Jul → | |
| train | 13–5 | -0.06 | 22% | 2 Jul → | |
| overpass | 13–3 | -0.02 | 14% | 2 Jul → | |
| train | 8–0 | 0.07 | 14% | 2 Jul → | |
| cache | 12–12 | -0.02 | 13% | 2 Jul → | |
| cache | 13–2 | 0.03 | 10% | 2 Jul → | |
| cache | 13–4 | 0.15 | 8% | 2 Jul → | |
| train | 12–4 | 0.05 | 27% | 30 Jun → | |
| train | 6–13 | -0.00 | 4% | 30 Jun → | |
| overpass | 13–2 | 0.04 | 11% | 29 Jun → | |
| inferno | 13–3 | 0.00 | 9% | 28 Jun → | |
| cache | 12–12 | 0.00 | 18% | 28 Jun → | |
| dust2 | 9–13 | 0.05 | 18% | 26 Jun → | |
| anubis | 7–13 | 0.02 | 12% | 19 Jun → | |
| train | 13–11 | 0.04 | 18% | 19 Jun → | |
| cache | 13–5 | -0.01 | 14% | 19 Jun → | |
| train | 9–13 | -0.06 | 28% | 18 Jun → | |
| cache | 12–12 | -0.07 | 8% | 18 Jun → | |
| cache | 13–4 | 0.12 | 23% | 18 Jun → | |
| inferno | 4–9 | 0.12 | 26% | 18 Jun → | |
| train | 13–11 | 0.02 | 13% | 17 Jun → | |
| train | 13–7 | -0.02 | 22% | 17 Jun → | |
| dust2 | 13–0 | -0.01 | 30% | 17 Jun → | |
| cache | 11–13 | -0.08 | 15% | 16 Jun → | |
| train | 7–13 | -0.00 | 14% | 16 Jun → | |
| cache | 13–8 | -0.01 | 11% | 16 Jun → | |
| nuke | 13–10 | 0.09 | 17% | 14 Jun → | |
| mirage | 13–3 | 0.01 | 29% | 14 Jun → | |
| cache | 2–6 | 0.14 | 13% | 14 Jun → | |
| train | 10–13 | 0.01 | 29% | 14 Jun → | |
| ancient | 8–13 | 0.00 | 12% | 14 Jun → | |
| dust2 | 13–11 | 0.04 | 23% | 13 Jun → | |
| mirage | 13–4 | 0.02 | 14% | 13 Jun → | |
| dust2 | 13–10 | 0.04 | 12% | 12 Jun → | |
| anubis | 13–4 | 0.02 | 8% | 12 Jun → | |
| mirage | 10–13 | -0.03 | 9% | 12 Jun → | |
| cache | 6–13 | -0.06 | 8% | 12 Jun → | |
| train | 13–5 | 0.02 | 11% | 12 Jun → | |
| cache | 13–6 | -0.05 | 3% | 10 Jun → | |
| train | 2–9 | -0.03 | 12% | 9 Jun → | |
| cache | 12–12 | -0.06 | 8% | 9 Jun → | |
| cache | 13–11 | 0.08 | 17% | 6 Jun → | |
| train | 13–9 | 0.06 | 14% | 5 Jun → | |
| train | 3–13 | -0.06 | 14% | 5 Jun → | |
| cache | 8–13 | -0.01 | 18% | 5 Jun → | |
| ancient | 13–7 | 0.03 | 20% | 5 Jun → | |
| cache | 13–6 | 0.01 | 13% | 5 Jun → | |
| train | 13–1 | 0.03 | 11% | 5 Jun → | |
| cache | 13–10 | -0.01 | 14% | 5 Jun → | |
| cache | 9–13 | 0.03 | 24% | 5 Jun → | |
| train | 13–1 | 0.11 | 20% | 4 Jun → | |
| cache | 13–2 | -0.02 | 21% | 4 Jun → | |
| vertigo | 13–7 | 0.07 | 16% | 4 Jun → | |
| vertigo | 13–1 | 0.05 | 11% | 4 Jun → | |
| cache | 13–11 | -0.01 | 21% | 4 Jun → | |
| mirage | 11–13 | 0.01 | 22% | 4 Jun → | |
| train | 13–1 | 0.06 | 10% | 3 Jun → | |
| cache | 5–13 | 0.02 | 9% | 3 Jun → | |
| vertigo | 8–13 | 0.08 | 16% | 3 Jun → | |
| vertigo | 12–12 | 0.08 | 21% | 3 Jun → | |
| train | 7–13 | -0.02 | 20% | 2 Jun → | |
| train | 13–2 | 0.03 | 20% | 2 Jun → | |
| cache | 13–8 | 0.06 | 19% | 2 Jun → | |
| train | 13–8 | -0.02 | 11% | 1 Jun → | |
| cache | 11–13 | 0.03 | 7% | 1 Jun → | |
| cache | 7–13 | 0.01 | 12% | 31 May → | |
| cache | 13–10 | -0.06 | 12% | 31 May → |
Match data via Leetify.