batezon — CS2 Stats
76561198318731485[U:1:358465757]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 562ms 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 (×0.95 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 | 25 | 10–15 | 40% | 0.04 | |
| S | 17 | 11–6 | 65% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| D | 9 | 2–7 | 22% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.06 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| boulder | — | 2 | 1–1 | 50% | 0.11 |
| office | — | 1 | 0–1 | 0% | 0.03 |
| fachwerk | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 40 | 62% | 1.38 | 20.3 |
| Dust2 | 30 | 60% | 1.31 | 20.2 |
| Ancient | 19 | 58% | 1.28 | 19.6 |
| Inferno | 15 | 60% | 1.46 | 21.5 |
| Nuke | 12 | 50% | 1.43 | 21.6 |
| Anubis | 10 | 60% | 1.01 | 16.8 |
| Overpass | 7 | 86% | 1.54 | 21.9 |
| Train | 6 | 50% | 2.10 | 23.2 |
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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 26% | 26 Aug → | ||
| 13–10 | 0.07 | 21% | 26 Aug → | ||
| 13–6 | 0.15 | 21% | 19 Aug → | ||
| 10–13 | 0.00 | 18% | 19 Aug → | ||
| 13–9 | 0.02 | 10% | 18 Aug → | ||
| 13–10 | 0.00 | 33% | 15 Aug → | ||
| 13–5 | 0.08 | 27% | 15 Aug → | ||
| 4–13 | -0.04 | 24% | 15 Aug → | ||
| 12–12 | 0.03 | 19% | 15 Aug → | ||
| 3–13 | 0.03 | 25% | 15 Aug → | ||
| 4–13 | 0.05 | 36% | 11 Aug → | ||
| 8–13 | 0.10 | 30% | 10 Aug → | ||
| 13–6 | -0.01 | 30% | 10 Aug → | ||
| 13–6 | 0.12 | 39% | 10 Aug → | ||
| 13–8 | 0.14 | 30% | 10 Aug → | ||
| 11–13 | -0.03 | 24% | 10 Aug → | ||
| 12–12 | 0.05 | 38% | 10 Aug → | ||
| 12–12 | 0.09 | 18% | 10 Aug → | ||
| 13–11 | 0.10 | 28% | 10 Aug → | ||
| 6–1 | 0.08 | 21% | 10 Aug → | ||
| 13–5 | 0.05 | 21% | 10 Aug → | ||
| 13–5 | 0.03 | 25% | 9 Aug → | ||
| 13–7 | -0.01 | 23% | 9 Aug → | ||
| 13–11 | 0.11 | 22% | 4 Aug → | ||
| 13–2 | -0.07 | 14% | 4 Aug → | ||
| 13–10 | 0.09 | 16% | 4 Aug → | ||
| 12–12 | 0.06 | 33% | 4 Aug → | ||
| 8–1 | 0.12 | 29% | 4 Aug → | ||
| 12–12 | 0.02 | 14% | 3 Aug → | ||
| 13–9 | 0.03 | 35% | 3 Aug → | ||
| 10–13 | 0.05 | 20% | 29 Jul → | ||
| office | 5–13 | 0.03 | 31% | 29 Jul → | |
| 13–5 | -0.01 | 16% | 29 Jul → | ||
| 13–7 | 0.10 | 24% | 29 Jul → | ||
| 5–13 | -0.03 | 33% | 29 Jul → | ||
| 13–5 | 0.10 | 20% | 29 Jul → | ||
| boulder | 13–2 | 0.16 | 17% | 29 Jul → | |
| 12–12 | -0.01 | 16% | 28 Jul → | ||
| 6–13 | -0.02 | 45% | 28 Jul → | ||
| 13–10 | 0.02 | 29% | 28 Jul → | ||
| 13–10 | 0.05 | 30% | 24 Jul → | ||
| 13–6 | 0.05 | 21% | 22 Jul → | ||
| 13–9 | 0.15 | 18% | 22 Jul → | ||
| 2–13 | -0.08 | 12% | 22 Jul → | ||
| 12–12 | 0.07 | 21% | 22 Jul → | ||
| 6–13 | 0.09 | 30% | 22 Jul → | ||
| 12–12 | -0.02 | 32% | 22 Jul → | ||
| 13–8 | 0.04 | 29% | 21 Jul → | ||
| 13–5 | 0.09 | 26% | 17 Jul → | ||
| 0–7 | -0.13 | 0% | 14 Jul → | ||
| 13–5 | 0.23 | 33% | 14 Jul → | ||
| fachwerk | 4–13 | 0.02 | 36% | 13 Jul → | |
| boulder | 5–13 | 0.05 | 19% | 13 Jul → | |
| 7–13 | 0.00 | 27% | 12 Jul → | ||
| 5–13 | -0.01 | 31% | 12 Jul → | ||
| 13–11 | 0.03 | 17% | 12 Jul → | ||
| 11–13 | -0.03 | 24% | 12 Jul → | ||
| 13–8 | -0.02 | 32% | 11 Jul → | ||
| 12–12 | 0.04 | 23% | 6 Jul → | ||
| 13–7 | 0.08 | 28% | 6 Jul → | ||
| 13–4 | 0.10 | 21% | 6 Jul → | ||
| 11–13 | -0.05 | 20% | 4 Jul → | ||
| 11–13 | -0.02 | 11% | 23 Jun → | ||
| 13–11 | -0.02 | 36% | 23 Jun → | ||
| 6–13 | -0.03 | 19% | 22 Jun → | ||
| 9–13 | -0.05 | 24% | 20 Jun → | ||
| 9–13 | -0.06 | 19% | 19 Jun → | ||
| 9–13 | 0.06 | 38% | 18 Jun → | ||
| 2–7 | -0.01 | 37% | 17 Jun → | ||
| 3–13 | 0.03 | 22% | 17 Jun → | ||
| 13–8 | 0.04 | 22% | 16 Jun → | ||
| 13–7 | -0.05 | 13% | 16 Jun → | ||
| 10–13 | 0.01 | 31% | 16 Jun → | ||
| 13–11 | 0.06 | 18% | 15 Jun → | ||
| 13–10 | 0.01 | 28% | 10 Jun → | ||
| 13–10 | -0.04 | 24% | 9 Jun → | ||
| 13–10 | 0.00 | 27% | 8 Jun → | ||
| 2–5 | 0.21 | 28% | 8 Jun → | ||
| 12–12 | 0.00 | 27% | 8 Jun → | ||
| 11–13 | 0.02 | 33% | 8 Jun → | ||
| 5–13 | -0.02 | 26% | 8 Jun → | ||
| 12–12 | 0.01 | 35% | 8 Jun → | ||
| 3–13 | -0.09 | 29% | 8 Jun → | ||
| 13–7 | -0.01 | 30% | 7 Jun → | ||
| 9–13 | 0.02 | 17% | 7 Jun → | ||
| 13–10 | 0.02 | 23% | 7 Jun → | ||
| 11–13 | -0.00 | 20% | 4 Jun → | ||
| 13–5 | 0.02 | 26% | 4 Jun → | ||
| 13–7 | -0.06 | 23% | 2 Jun → | ||
| 7–13 | 0.04 | 17% | 2 Jun → | ||
| 10–13 | -0.00 | 21% | 1 Jun → | ||
| 12–12 | 0.08 | 24% | 1 Jun → | ||
| 11–13 | 0.09 | 30% | 30 May → | ||
| 10–13 | 0.01 | 50% | 29 May → | ||
| 13–8 | 0.06 | 24% | 28 May → | ||
| 13–4 | 0.02 | 31% | 26 May → | ||
| 13–11 | 0.07 | 30% | 26 May → | ||
| 9–13 | -0.02 | 16% | 25 May → | ||
| 9–13 | -0.01 | 36% | 25 May → | ||
| 13–8 | -0.03 | 36% | 21 May → |
Match data via Leetify.