Batatinha — CS2 Stats
76561198188039134[U:1:227773406]✓ No bans
Rating over time
Premier CS Rating
- At peak — 15,801
- Next: Pink band at 20,000 — 4,199 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 ropz 88% playstyle similarity
Most alike: opening-duel success, 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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 665ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| D | 28 | 9–19 | 32% | -0.02 | |
| B | 23 | 12–11 | 52% | 0.00 | |
| S | 18 | 13–5 | 72% | 0.00 | |
| C | 11 | 4–7 | 36% | -0.00 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 7 | 57% | 0.83 | 15.1 |
| Mirage | 6 | 33% | 0.66 | 11.7 |
| Inferno | 2 | 0% | 0.66 | 12.0 |
| Ancient | 2 | 0% | 0.52 | 9.5 |
| Cache | 2 | 100% | 1.10 | 14.5 |
| Anubis | 1 | 100% | 0.63 | 12.0 |
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.
- 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 33.8114% — 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.
32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.00 | 14% | 6 Jul → | ||
| 16–13 | -0.07 | 28% | 6 Jul → | ||
| 9–13 | -0.04 | 21% | 24 Jun → | ||
| 3–13 | -0.11 | 9% | 24 Jun → | ||
| 13–4 | 0.03 | 22% | 23 Mar → | ||
| 7–4 | 0.07 | 21% | 23 Mar → | ||
| 13–11 | -0.02 | 22% | 23 Mar → | ||
| 11–13 | 0.03 | 21% | 23 Mar → | ||
| 7–13 | 0.01 | 29% | 23 Mar → | ||
| 13–8 | 0.00 | 25% | 1 Mar → | ||
| 13–8 | 0.02 | 23% | 24 Feb → | ||
| 13–6 | 0.04 | 22% | 24 Feb → | ||
| 13–11 | -0.06 | 21% | 18 Feb → | ||
| 14–16 | -0.07 | 24% | 17 Feb → | ||
| 16–13 | 0.03 | 15% | 17 Feb → | ||
| 9–13 | -0.02 | 45% | 23 Dec → | ||
| 7–13 | -0.03 | 20% | 23 Dec → | ||
| 9–13 | -0.04 | 13% | 23 Dec → | ||
| 13–9 | -0.03 | 23% | 23 Dec → | ||
| 7–13 | -0.03 | 12% | 1 Dec → | ||
| 6–13 | -0.05 | 19% | 1 Dec → | ||
| 13–11 | -0.01 | 21% | 1 Dec → | ||
| 6–11 | 0.04 | 56% | 1 Dec → | ||
| 6–13 | -0.02 | 21% | 24 Nov → | ||
| 13–11 | -0.05 | 23% | 1 Sept → | ||
| 13–8 | 0.00 | 15% | 1 Sept → | ||
| 13–11 | -0.03 | 8% | 1 Sept → | ||
| 13–11 | -0.02 | 30% | 28 Aug → | ||
| 11–13 | 0.08 | 35% | 22 Jun → | ||
| 7–13 | -0.06 | 33% | 1 Jun → | ||
| 9–13 | -0.04 | 20% | 4 May → | ||
| 13–8 | 0.07 | 24% | 26 Dec → | ||
| 13–6 | 0.07 | 25% | 26 Dec → | ||
| 11–13 | 0.03 | 32% | 5 Oct → | ||
| 13–9 | -0.04 | 14% | 4 Oct → | ||
| 7–13 | -0.09 | 13% | 4 Oct → | ||
| 4–13 | 0.01 | 19% | 1 Sept → | ||
| 8–13 | 0.01 | 32% | 1 Sept → | ||
| 9–13 | -0.06 | 13% | 30 Aug → | ||
| 13–11 | 0.03 | 31% | 30 Aug → | ||
| 10–13 | -0.09 | 16% | 28 Aug → | ||
| 13–6 | 0.04 | 27% | 28 Aug → | ||
| 13–7 | 0.04 | 26% | 27 Aug → | ||
| 6–13 | -0.07 | 25% | 27 Aug → | ||
| 11–13 | -0.00 | 26% | 25 Aug → | ||
| 10–13 | 0.00 | 33% | 25 Aug → | ||
| 11–13 | 0.02 | 23% | 30 Jul → | ||
| 9–13 | 0.01 | 31% | 29 Jul → | ||
| 10–13 | -0.04 | 34% | 29 Jul → | ||
| 3–13 | -0.08 | 18% | 29 Jul → | ||
| 13–5 | 0.08 | 31% | 26 Jul → | ||
| 13–8 | 0.01 | 30% | 25 Jul → | ||
| 13–10 | 0.04 | 23% | 25 Jul → | ||
| 5–13 | -0.10 | 28% | 25 Jul → | ||
| 5–13 | -0.03 | 30% | 25 Jul → | ||
| 13–10 | -0.02 | 13% | 25 Jul → | ||
| 13–7 | 0.04 | 26% | 25 Jul → | ||
| 13–9 | 0.09 | 34% | 24 Jul → | ||
| 7–13 | -0.03 | 18% | 24 Jul → | ||
| 13–1 | 0.06 | 29% | 24 Jul → | ||
| 14–16 | -0.01 | 33% | 23 Jul → | ||
| 13–6 | 0.01 | 26% | 23 Jul → | ||
| 10–13 | 0.00 | 29% | 23 Jul → | ||
| 13–8 | -0.03 | 17% | 23 Jul → | ||
| 13–6 | -0.02 | 23% | 23 Jul → | ||
| 10–13 | -0.03 | 31% | 23 Jul → | ||
| 9–13 | -0.02 | 37% | 23 Jul → | ||
| 13–7 | 0.22 | 22% | 19 Jun → | ||
| 13–1 | 0.09 | 24% | 27 Mar → | ||
| 13–10 | 0.03 | 31% | 27 Mar → | ||
| 2–13 | -0.04 | 37% | 27 Mar → | ||
| 6–13 | -0.01 | 40% | 26 Mar → | ||
| 14–16 | -0.06 | 17% | 26 Mar → | ||
| 8–13 | 0.03 | 33% | 25 Mar → | ||
| 7–13 | -0.09 | 9% | 25 Mar → | ||
| 8–13 | 0.00 | 26% | 24 Mar → | ||
| 9–13 | -0.02 | 29% | 23 Mar → | ||
| 8–13 | -0.03 | 17% | 17 Mar → | ||
| 13–8 | -0.01 | 35% | 17 Mar → | ||
| 13–10 | -0.04 | 26% | 17 Mar → | ||
| 16–12 | 0.01 | 39% | 15 Mar → | ||
| 13–5 | -0.03 | 18% | 15 Mar → | ||
| 13–10 | 0.04 | 36% | 15 Mar → | ||
| 13–9 | -0.00 | 35% | 15 Mar → | ||
| 10–13 | -0.05 | 48% | 15 Mar → | ||
| 10–13 | -0.02 | 24% | 13 Mar → | ||
| 13–8 | -0.04 | 41% | 13 Mar → | ||
| 13–10 | 0.02 | 27% | 11 Mar → | ||
| 13–6 | 0.09 | 19% | 9 Mar → | ||
| 16–14 | 0.01 | 29% | 9 Mar → | ||
| 9–13 | -0.05 | 18% | 9 Mar → | ||
| 2–13 | -0.07 | 28% | 9 Mar → | ||
| 11–13 | -0.01 | 23% | 9 Mar → | ||
| 5–13 | -0.10 | 31% | 8 Mar → | ||
| 13–6 | 0.15 | 33% | 8 Mar → | ||
| 5–13 | -0.01 | 29% | 8 Mar → | ||
| 8–13 | 0.01 | 30% | 8 Mar → | ||
| 13–5 | 0.05 | 26% | 8 Mar → | ||
| 13–3 | 0.01 | 24% | 8 Mar → | ||
| 3–13 | -0.09 | 10% | 2 Mar → |
Match data via Leetify.