entz — CS2 Stats
76561198020161616[U:1:59895888]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 96% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 593ms 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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 27 | 19–8 | 70% | 0.04 | |
| B | 22 | 11–11 | 50% | 0.04 | |
| C | 14 | 6–8 | 43% | 0.05 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| — | 1 | 0–1 | 0% | 0.06 | |
| alpine | — | 1 | 0–1 | 0% | 0.03 |
| warden | — | 1 | 1–0 | 100% | 0.15 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 324 | 53% | 1.28 | 16.6 |
| Mirage | 277 | 46% | 1.27 | 16.9 |
| Ancient | 274 | 56% | 1.23 | 16.6 |
| Nuke | 174 | 53% | 1.31 | 16.7 |
| Vertigo | 107 | 58% | 1.23 | 17.6 |
| Inferno | 87 | 52% | 1.43 | 17.3 |
| Dust2 | 76 | 46% | 1.17 | 15.3 |
| Overpass | 59 | 53% | 1.22 | 15.2 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.08 | 10% | 24 Aug → | ||
| 5–13 | -0.03 | 35% | 9 Aug → | ||
| 6–13 | 0.03 | 36% | 8 Aug → | ||
| 0–13 | -0.07 | 17% | 7 Aug → | ||
| 13–9 | -0.01 | 30% | 7 Aug → | ||
| 13–5 | 0.06 | 37% | 7 Aug → | ||
| 9–13 | 0.02 | 25% | 28 Jul → | ||
| 10–13 | 0.01 | 24% | 28 Jul → | ||
| 11–13 | 0.03 | 27% | 28 Jul → | ||
| 13–10 | 0.11 | 23% | 28 Jul → | ||
| 13–11 | 0.10 | 27% | 27 Jul → | ||
| 13–5 | 0.07 | 33% | 25 Jul → | ||
| 11–13 | -0.01 | 14% | 5 Jul → | ||
| 13–3 | -0.02 | 27% | 14 Jun → | ||
| 13–9 | 0.01 | 31% | 11 Jun → | ||
| 13–8 | 0.03 | 30% | 11 Jun → | ||
| 13–10 | 0.05 | 47% | 7 Jun → | ||
| 13–10 | 0.23 | 33% | 7 Jun → | ||
| 13–11 | 0.00 | 19% | 6 Jun → | ||
| 12–12 | 0.07 | 39% | 6 Jun → | ||
| 7–13 | 0.02 | 24% | 2 Jun → | ||
| 7–13 | 0.01 | 30% | 31 May → | ||
| 1–13 | 0.03 | 21% | 31 May → | ||
| 13–11 | 0.14 | 25% | 28 May → | ||
| 12–12 | 0.01 | 18% | 23 May → | ||
| 13–10 | 0.03 | 27% | 23 May → | ||
| 11–13 | 0.05 | 35% | 21 May → | ||
| 1–13 | -0.03 | 28% | 16 May → | ||
| 11–13 | -0.03 | 14% | 13 May → | ||
| 11–13 | -0.03 | 26% | 7 May → | ||
| 13–6 | 0.06 | 27% | 7 May → | ||
| 13–10 | -0.01 | 18% | 5 May → | ||
| 13–8 | 0.12 | 24% | 2 May → | ||
| 13–9 | -0.02 | 26% | 1 May → | ||
| 11–13 | -0.02 | 15% | 26 Apr → | ||
| 13–3 | 0.14 | 18% | 19 Apr → | ||
| 13–4 | -0.04 | 24% | 19 Apr → | ||
| 9–13 | 0.08 | 24% | 17 Apr → | ||
| 11–13 | -0.02 | 30% | 17 Apr → | ||
| 9–13 | 0.02 | 26% | 17 Apr → | ||
| 13–6 | -0.01 | 39% | 17 Apr → | ||
| 13–7 | 0.11 | 17% | 15 Apr → | ||
| 3–13 | 0.05 | 21% | 3 Apr → | ||
| 9–13 | 0.03 | 18% | 2 Apr → | ||
| 13–9 | 0.04 | 14% | 1 Apr → | ||
| 13–4 | 0.09 | 40% | 1 Apr → | ||
| 5–13 | -0.07 | 12% | 1 Apr → | ||
| 13–7 | 0.03 | 27% | 1 Apr → | ||
| 10–13 | 0.04 | 36% | 1 Apr → | ||
| 3–13 | 0.05 | 39% | 1 Apr → | ||
| 5–0 | 0.02 | 0% | 1 Apr → | ||
| 13–8 | 0.03 | 36% | 30 Mar → | ||
| 13–5 | -0.01 | 24% | 28 Mar → | ||
| 10–13 | 0.06 | 17% | 28 Mar → | ||
| 13–11 | 0.07 | 19% | 28 Mar → | ||
| 13–11 | -0.04 | 18% | 27 Mar → | ||
| 10–13 | 0.07 | 27% | 26 Mar → | ||
| 13–5 | 0.00 | 24% | 26 Mar → | ||
| 13–7 | 0.08 | 19% | 26 Mar → | ||
| 13–11 | 0.05 | 31% | 24 Mar → | ||
| alpine | 0–3 | 0.03 | 11% | 24 Mar → | |
| warden | 7–0 | 0.15 | 36% | 24 Mar → | |
| 7–13 | -0.04 | 13% | 22 Mar → | ||
| 8–13 | 0.03 | 29% | 21 Mar → | ||
| 7–0 | 0.17 | 14% | 21 Mar → | ||
| 6–13 | 0.07 | 40% | 21 Mar → | ||
| 13–4 | 0.07 | 21% | 19 Mar → | ||
| 8–13 | 0.04 | 27% | 16 Mar → | ||
| 7–13 | 0.07 | 21% | 15 Mar → | ||
| 13–6 | 0.11 | 11% | 15 Mar → | ||
| 13–4 | 0.02 | 10% | 15 Mar → | ||
| 13–7 | 0.02 | 31% | 15 Mar → | ||
| 7–13 | 0.05 | 39% | 15 Mar → | ||
| 13–7 | 0.03 | 29% | 15 Mar → | ||
| 1–13 | 0.01 | 25% | 15 Mar → | ||
| 13–10 | -0.04 | 25% | 7 Mar → | ||
| 5–13 | 0.03 | 32% | 7 Mar → | ||
| 13–7 | 0.02 | 35% | 7 Mar → | ||
| 13–11 | -0.00 | 11% | 7 Mar → | ||
| 13–10 | 0.01 | 22% | 5 Mar → | ||
| 9–13 | -0.03 | 15% | 5 Mar → | ||
| 13–8 | -0.01 | 20% | 4 Mar → | ||
| 13–4 | -0.05 | 29% | 1 Mar → | ||
| 13–2 | 0.09 | 42% | 1 Mar → | ||
| 13–11 | 0.10 | 23% | 1 Mar → | ||
| 6–13 | -0.00 | 14% | 1 Mar → | ||
| 13–6 | 0.05 | 32% | 1 Mar → | ||
| 11–13 | 0.11 | 27% | 1 Mar → | ||
| 13–16 | -0.02 | 23% | 28 Feb → | ||
| 3–13 | 0.02 | 71% | 28 Feb → | ||
| 13–5 | 0.01 | 34% | 28 Feb → | ||
| 8–13 | -0.02 | 13% | 28 Feb → | ||
| 13–2 | -0.01 | 38% | 28 Feb → | ||
| 13–11 | 0.08 | 37% | 27 Feb → | ||
| 13–3 | 0.13 | 36% | 27 Feb → | ||
| 15–15 | 0.00 | 32% | 26 Feb → | ||
| 13–3 | 0.06 | 30% | 26 Feb → | ||
| 13–11 | 0.01 | 38% | 25 Feb → | ||
| 13–11 | 0.05 | 21% | 25 Feb → | ||
| 4–13 | 0.02 | 26% | 24 Feb → |
Match data via Leetify.