Zebra — CS2 Stats
76561198359092236[U:1:398826508]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 36.7% | 42.1% | 42.5% | 5.8% short |
| Shot accuracy | 6.2% | 12.1% | 10.9% | 4.7% short |
| Kill/death ratio | 0.86 | 0.99 | 0.99 | 0.13 short |
| Match win rate | 37.2% | 43.9% | 44.2% | 6.9% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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 · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 91% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 655ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | B | 22 | 10–12 | 45% | 0.02 |
 inferno | D | 17 | 5–12 | 29% | -0.00 |
 anubis | C | 13 | 5–8 | 38% | 0.02 |
 dust2 | C | 12 | 5–7 | 42% | 0.03 |
 ancient | A | 11 | 7–4 | 64% | -0.00 |
 nuke | A | 10 | 6–4 | 60% | 0.02 |
 cache | C | 9 | 4–5 | 44% | -0.02 |
 overpass | — | 3 | 2–1 | 67% | -0.01 |
 train | — | 2 | 0–2 | 0% | -0.02 |
 vertigo | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 17). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 33% | 0.50 | 9.3 |
| Inferno | 2 | 0% | 0.71 | 13.5 |
| Overpass | 1 | 0% | 0.27 | 6.0 |
| Nuke | 1 | 0% | 0.31 | 4.0 |
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 10.2289% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 15–15 | 0.06 | 9% | 27 Aug → | |
| ancient | 13–4 | 0.00 | 6% | 22 Aug → | |
| mirage | 10–13 | 0.00 | 14% | 22 Aug → | |
| ancient | 4–13 | -0.05 | 11% | 18 Aug → | |
| mirage | 9–13 | 0.00 | 6% | 17 Aug → | |
| inferno | 10–13 | -0.04 | 10% | 7 Aug → | |
| inferno | 13–7 | 0.05 | 7% | 4 Aug → | |
| inferno | 13–1 | -0.00 | 6% | 3 Aug → | |
| dust2 | 10–13 | 0.01 | 12% | 2 Aug → | |
| dust2 | 9–13 | 0.04 | 18% | 2 Aug → | |
| cache | 14–16 | 0.01 | 7% | 30 Jul → | |
| anubis | 10–13 | -0.00 | 10% | 29 Jul → | |
| cache | 13–9 | -0.07 | 3% | 29 Jul → | |
| dust2 | 8–13 | -0.06 | 6% | 25 Jul → | |
| nuke | 13–11 | 0.01 | 22% | 25 Jul → | |
| mirage | 13–7 | 0.09 | 5% | 25 Jul → | |
| mirage | 16–13 | 0.03 | 11% | 24 Jul → | |
| mirage | 15–15 | 0.09 | 19% | 20 Jul → | |
| inferno | 3–13 | -0.07 | 11% | 20 Jul → | |
| anubis | 10–13 | 0.09 | 5% | 20 Jul → | |
| cache | 16–12 | 0.10 | 10% | 20 Jul → | |
| anubis | 7–13 | -0.05 | 9% | 19 Jul → | |
| mirage | 5–13 | 0.05 | 12% | 15 Jul → | |
| cache | 13–7 | 0.00 | 9% | 15 Jul → | |
| cache | 10–13 | -0.10 | 10% | 11 Jul → | |
| nuke | 5–1 | 0.03 | 20% | 11 Jul → | |
| anubis | 7–0 | 0.09 | 21% | 2 Jul → | |
| ancient | 13–11 | -0.01 | 8% | 1 Jul → | |
| anubis | 11–13 | 0.01 | 13% | 1 Jul → | |
| anubis | 13–6 | -0.02 | 8% | 26 Jun → | |
| inferno | 10–13 | -0.05 | 8% | 26 Jun → | |
| anubis | 14–16 | 0.01 | 4% | 22 Jun → | |
| nuke | 13–9 | 0.01 | 14% | 18 Jun → | |
| inferno | 13–8 | 0.01 | 8% | 18 Jun → | |
| ancient | 13–8 | -0.07 | 8% | 17 Jun → | |
| mirage | 13–11 | 0.01 | 11% | 17 Jun → | |
| nuke | 13–11 | -0.05 | 18% | 17 Jun → | |
| nuke | 13–16 | -0.08 | 7% | 13 Jun → | |
| ancient | 13–8 | -0.02 | 11% | 13 Jun → | |
| mirage | 13–2 | 0.01 | 7% | 13 Jun → | |
| dust2 | 13–10 | 0.09 | 17% | 12 Jun → | |
| overpass | 11–13 | -0.01 | 12% | 10 Jun → | |
| nuke | 10–13 | 0.06 | 8% | 10 Jun → | |
| mirage | 4–13 | -0.02 | 13% | 10 Jun → | |
| overpass | 16–13 | 0.01 | 9% | 9 Jun → | |
| dust2 | 13–8 | -0.02 | 8% | 9 Jun → | |
| mirage | 11–13 | 0.08 | 10% | 8 Jun → | |
| ancient | 9–13 | -0.03 | 6% | 8 Jun → | |
| mirage | 13–8 | 0.02 | 11% | 7 Jun → | |
| inferno | 9–13 | -0.04 | 14% | 7 Jun → | |
| anubis | 13–7 | -0.03 | 14% | 7 Jun → | |
| dust2 | 13–6 | 0.02 | 7% | 6 Jun → | |
| mirage | 16–12 | 0.09 | 17% | 5 Jun → | |
| overpass | 13–9 | -0.03 | 4% | 4 Jun → | |
| mirage | 13–7 | 0.04 | 12% | 4 Jun → | |
| anubis | 6–13 | -0.01 | 15% | 4 Jun → | |
| nuke | 13–4 | 0.12 | 24% | 4 Jun → | |
| ancient | 13–4 | 0.03 | 13% | 4 Jun → | |
| inferno | 13–6 | 0.11 | 12% | 4 Jun → | |
| inferno | 13–6 | 0.01 | 6% | 3 Jun → | |
| cache | 4–13 | -0.01 | 10% | 3 Jun → | |
| mirage | 15–15 | 0.06 | 8% | 3 Jun → | |
| dust2 | 6–13 | 0.09 | 5% | 29 May → | |
| inferno | 10–13 | -0.00 | 10% | 29 May → | |
| mirage | 9–13 | -0.04 | 12% | 29 May → | |
| anubis | 13–7 | 0.10 | 10% | 29 May → | |
| inferno | 3–13 | -0.06 | 4% | 29 May → | |
| nuke | 13–10 | 0.05 | 10% | 26 May → | |
| mirage | 6–13 | -0.03 | 17% | 26 May → | |
| ancient | 13–8 | 0.05 | 14% | 26 May → | |
| mirage | 13–9 | 0.04 | 19% | 24 May → | |
| inferno | 9–13 | -0.01 | 12% | 24 May → | |
| nuke | 5–13 | 0.06 | 6% | 23 May → | |
| inferno | 10–13 | 0.04 | 9% | 23 May → | |
| dust2 | 13–11 | 0.16 | 12% | 22 May → | |
| mirage | 13–9 | 0.01 | 12% | 21 May → | |
| cache | 13–7 | -0.07 | 14% | 20 May → | |
| inferno | 7–13 | 0.02 | 10% | 20 May → | |
| ancient | 13–8 | 0.02 | 8% | 19 May → | |
| dust2 | 13–6 | 0.13 | 13% | 16 May → | |
| mirage | 9–13 | -0.05 | 18% | 15 May → | |
| inferno | 3–13 | -0.03 | 20% | 15 May → | |
| anubis | 13–6 | -0.02 | 6% | 13 May → | |
| mirage | 13–16 | 0.04 | 16% | 11 May → | |
| ancient | 7–13 | 0.07 | 15% | 10 May → | |
| nuke | 6–13 | -0.01 | 13% | 7 May → | |
| mirage | 2–13 | -0.08 | 11% | 7 May → | |
| cache | 12–12 | -0.04 | 10% | 2 May → | |
| anubis | 7–13 | -0.03 | 8% | 1 May → | |
| cache | 9–13 | -0.03 | 5% | 1 May → | |
| inferno | 9–13 | -0.02 | 11% | 28 Apr → | |
| train | 4–13 | -0.05 | 12% | 28 Apr → | |
| dust2 | 3–13 | -0.04 | 18% | 28 Apr → | |
| ancient | 9–13 | -0.04 | 12% | 28 Apr → | |
| dust2 | 4–13 | -0.06 | 30% | 26 Apr → | |
| vertigo | 8–3 | 0.01 | 8% | 26 Apr → | |
| mirage | 13–3 | 0.01 | 16% | 25 Apr → | |
| inferno | 12–12 | 0.02 | 13% | 22 Apr → | |
| train | 7–13 | 0.01 | 17% | 22 Apr → | |
| dust2 | 8–13 | -0.02 | 43% | 19 Apr → |
Match data via Leetify.