Zenxter — CS2 Stats
US76561198138234183[U:1:177968455]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 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 b1t 87% 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
Areas to improve
Reaction time. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.4/10 (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 |
|---|---|---|---|---|---|
| C | 27 | 10–17 | 37% | -0.01 | |
| S | 20 | 13–7 | 65% | 0.01 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| S | 9 | 7–2 | 78% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| office | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (37% over 27). 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 |
|---|---|---|---|---|
| Inferno | 82 | 43% | 0.97 | 15.4 |
| Mirage | 80 | 48% | 1.03 | 16.7 |
| Nuke | 67 | 57% | 1.13 | 16.6 |
| Ancient | 45 | 47% | 1.05 | 16.0 |
| Anubis | 35 | 43% | 0.94 | 15.2 |
| Vertigo | 33 | 73% | 1.23 | 17.2 |
| Overpass | 22 | 73% | 1.14 | 17.7 |
| Dust2 | 22 | 50% | 1.05 | 16.3 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4552 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.01 | 13% | 17 Aug → | ||
| 11–13 | -0.01 | 11% | 16 Aug → | ||
| 13–9 | -0.04 | 29% | 16 Aug → | ||
| 5–13 | -0.04 | 29% | 16 Aug → | ||
| 13–6 | 0.00 | 14% | 16 Aug → | ||
| 8–13 | -0.03 | 16% | 15 Aug → | ||
| 10–13 | -0.02 | 15% | 12 Aug → | ||
| 13–9 | -0.01 | 16% | 11 Aug → | ||
| 15–15 | -0.00 | 22% | 9 Aug → | ||
| 10–13 | -0.03 | 12% | 9 Aug → | ||
| 13–5 | 0.15 | 26% | 9 Aug → | ||
| 8–13 | 0.01 | 21% | 4 Aug → | ||
| 8–13 | -0.01 | 21% | 1 Aug → | ||
| 14–16 | -0.01 | 15% | 28 Jul → | ||
| 13–6 | -0.01 | 14% | 27 Jul → | ||
| 13–11 | 0.03 | 10% | 27 Jul → | ||
| 8–13 | -0.03 | 8% | 17 Jul → | ||
| 13–6 | 0.02 | 22% | 17 Jul → | ||
| 13–6 | 0.05 | 16% | 17 Jul → | ||
| 3–13 | -0.06 | 15% | 17 Jun → | ||
| 13–10 | 0.12 | 27% | 17 Jun → | ||
| 13–9 | 0.00 | 24% | 17 Jun → | ||
| 7–13 | -0.01 | 21% | 14 Jun → | ||
| 13–7 | 0.00 | 25% | 14 Jun → | ||
| 4–13 | -0.08 | 14% | 9 Jun → | ||
| 14–16 | 0.09 | 12% | 9 Jun → | ||
| 11–13 | -0.00 | 7% | 9 Jun → | ||
| 13–11 | 0.03 | 16% | 9 Jun → | ||
| 13–11 | -0.05 | 11% | 8 Jun → | ||
| 9–13 | 0.04 | 21% | 8 Jun → | ||
| 10–13 | -0.09 | 19% | 8 Jun → | ||
| 2–13 | -0.08 | 6% | 7 Jun → | ||
| 9–13 | -0.03 | 11% | 7 Jun → | ||
| 16–14 | -0.03 | 23% | 7 Jun → | ||
| 13–7 | -0.03 | 11% | 7 Jun → | ||
| 13–10 | 0.04 | 13% | 7 Jun → | ||
| 7–13 | -0.00 | 22% | 7 Jun → | ||
| 14–16 | 0.01 | 13% | 7 Jun → | ||
| 4–11 | -0.02 | 28% | 6 Jun → | ||
| 13–10 | 0.06 | 26% | 6 Jun → | ||
| 13–11 | -0.00 | 16% | 5 Jun → | ||
| 10–13 | -0.02 | 27% | 5 Jun → | ||
| 13–3 | 0.04 | 19% | 1 Jun → | ||
| 13–6 | -0.01 | 14% | 1 Jun → | ||
| 13–7 | 0.07 | 20% | 31 May → | ||
| 9–13 | -0.03 | 10% | 11 May → | ||
| 2–3 | -0.01 | 19% | 4 May → | ||
| 12–12 | -0.01 | 20% | 3 May → | ||
| 13–11 | -0.01 | 20% | 2 May → | ||
| 13–11 | -0.02 | 10% | 29 Apr → | ||
| 13–10 | 0.05 | 23% | 26 Apr → | ||
| 5–13 | 0.02 | 21% | 19 Apr → | ||
| 5–13 | 0.02 | 14% | 11 Apr → | ||
| 13–5 | 0.00 | 9% | 30 Mar → | ||
| 10–13 | -0.03 | 19% | 29 Mar → | ||
| 9–13 | -0.02 | 15% | 18 Mar → | ||
| office | 10–13 | -0.04 | 17% | 18 Mar → | |
| 19–16 | -0.00 | 23% | 15 Mar → | ||
| 13–7 | 0.05 | 12% | 12 Mar → | ||
| 13–10 | -0.01 | 10% | 7 Mar → | ||
| 13–8 | 0.02 | 23% | 1 Mar → | ||
| 13–10 | -0.02 | 16% | 1 Mar → | ||
| 13–10 | 0.01 | 20% | 25 Feb → | ||
| 14–16 | 0.01 | 9% | 21 Feb → | ||
| 5–9 | -0.03 | 21% | 20 Feb → | ||
| 0–5 | -0.17 | 100% | 20 Feb → | ||
| 9–3 | 0.14 | 9% | 19 Feb → | ||
| 9–5 | 0.09 | 20% | 19 Feb → | ||
| 9–6 | 0.12 | 28% | 18 Feb → | ||
| 7–9 | -0.01 | 18% | 18 Feb → | ||
| 9–13 | -0.01 | 13% | 16 Feb → | ||
| 13–11 | -0.03 | 21% | 14 Feb → | ||
| 4–13 | -0.03 | 15% | 6 Feb → | ||
| 13–8 | 0.09 | 15% | 6 Feb → | ||
| 13–4 | 0.05 | 20% | 22 Jan → | ||
| 11–13 | -0.03 | 14% | 19 Jan → | ||
| 13–8 | 0.02 | 8% | 13 Jan → | ||
| 11–13 | 0.02 | 14% | 9 Jan → | ||
| 13–8 | 0.06 | 9% | 7 Jan → | ||
| 6–13 | -0.05 | 12% | 6 Jan → | ||
| 3–13 | -0.15 | 27% | 3 Jan → | ||
| 16–12 | 0.04 | 22% | 2 Jan → | ||
| 4–13 | 0.04 | 20% | 1 Jan → | ||
| 13–11 | -0.00 | 16% | 1 Jan → | ||
| 13–11 | -0.02 | 12% | 1 Jan → | ||
| 13–9 | 0.02 | 18% | 31 Dec → | ||
| 12–12 | 0.03 | 13% | 30 Dec → | ||
| 9–13 | -0.04 | 12% | 29 Dec → | ||
| 5–13 | -0.03 | 13% | 28 Dec → | ||
| 19–17 | 0.00 | 11% | 28 Dec → | ||
| 9–13 | -0.00 | 22% | 13 Dec → | ||
| 8–13 | -0.08 | 7% | 13 Dec → | ||
| 13–6 | 0.03 | 10% | 13 Dec → | ||
| 6–13 | 0.01 | 26% | 6 Dec → | ||
| 10–13 | 0.01 | 16% | 3 Dec → | ||
| 7–13 | 0.01 | 6% | 3 Dec → | ||
| 13–9 | 0.04 | 7% | 1 Dec → | ||
| 13–11 | 0.01 | 18% | 30 Nov → | ||
| 13–6 | 0.04 | 18% | 28 Nov → | ||
| 13–9 | 0.02 | 15% | 27 Nov → |
Match data via Leetify.