patta — CS2 Stats
DE76561198282174141[U:1:321908413]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 48.5% | 47.2% | 49.9% | 1.5% short |
| Shot accuracy | 14.4% | 12.7% | 13.4% | above |
| Kill/death ratio | 0.98 | 1.09 | 1.12 | 0.14 short |
| Match win rate | 47.2% | 46.6% | 48.4% | 1.2% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Red band 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: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
CT openings. 67% 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 67% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 16 | 7–9 | 44% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.03 | |
| D | 12 | 4–8 | 33% | 0.05 | |
| D | 12 | 3–9 | 25% | 0.01 | |
| debris | B | 10 | 5–5 | 50% | 0.02 |
| eldorado | A | 8 | 5–3 | 63% | 0.05 |
| A | 8 | 5–3 | 63% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.07 | |
| S | 5 | 5–0 | 100% | 0.16 | |
| — | 1 | 0–1 | 0% | -0.21 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 51 | 53% | 1.11 | 17.6 |
| Ancient | 25 | 60% | 1.14 | 16.8 |
| Anubis | 19 | 74% | 1.30 | 20.1 |
| Inferno | 18 | 56% | 1.09 | 17.4 |
| Dust2 | 13 | 77% | 1.33 | 16.9 |
| Overpass | 10 | 30% | 1.22 | 17.5 |
| Train | 5 | 40% | 1.46 | 19.4 |
| Vertigo | 5 | 40% | 0.61 | 13.2 |
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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.05 | 15% | 29 Aug → | ||
| 13–5 | 0.00 | 9% | 28 Aug → | ||
| 13–9 | 0.05 | 15% | 28 Aug → | ||
| 11–13 | -0.03 | 24% | 28 Aug → | ||
| 13–5 | 0.09 | 26% | 28 Aug → | ||
| 13–5 | 0.08 | 22% | 27 Aug → | ||
| 10–13 | 0.03 | 36% | 27 Aug → | ||
| eldorado | 6–9 | 0.01 | 21% | 27 Aug → | |
| debris | 5–9 | -0.08 | 12% | 27 Aug → | |
| 11–13 | 0.05 | 16% | 26 Aug → | ||
| 13–9 | 0.00 | 20% | 26 Aug → | ||
| 8–8 | 0.10 | 22% | 26 Aug → | ||
| 11–13 | 0.05 | 14% | 26 Aug → | ||
| 5–13 | 0.02 | 23% | 25 Aug → | ||
| 13–4 | 0.06 | 17% | 25 Aug → | ||
| 10–13 | 0.03 | 20% | 25 Aug → | ||
| 9–13 | 0.03 | 12% | 25 Aug → | ||
| 0–9 | -0.25 | 5% | 24 Aug → | ||
| 9–6 | 0.08 | 31% | 24 Aug → | ||
| debris | 9–6 | 0.08 | 23% | 24 Aug → | |
| 13–3 | 0.08 | 38% | 23 Aug → | ||
| 13–11 | 0.05 | 25% | 23 Aug → | ||
| 13–10 | 0.08 | 21% | 23 Aug → | ||
| 7–13 | -0.03 | 23% | 23 Aug → | ||
| 6–13 | 0.01 | 20% | 23 Aug → | ||
| 13–4 | 0.11 | 19% | 23 Aug → | ||
| 9–13 | -0.02 | 18% | 23 Aug → | ||
| 13–10 | 0.01 | 15% | 21 Aug → | ||
| 5–13 | 0.07 | 16% | 21 Aug → | ||
| 16–13 | 0.01 | 16% | 21 Aug → | ||
| 2–9 | -0.17 | 19% | 21 Aug → | ||
| 9–3 | -0.03 | 24% | 21 Aug → | ||
| 4–9 | 0.05 | 22% | 21 Aug → | ||
| 11–13 | 0.00 | 12% | 20 Aug → | ||
| 13–16 | 0.06 | 16% | 20 Aug → | ||
| 13–5 | 0.17 | 25% | 20 Aug → | ||
| 13–7 | 0.17 | 17% | 20 Aug → | ||
| 9–4 | 0.12 | 30% | 20 Aug → | ||
| 10–13 | -0.05 | 19% | 20 Aug → | ||
| 13–3 | 0.02 | 24% | 20 Aug → | ||
| 13–3 | 0.03 | 23% | 20 Aug → | ||
| 10–13 | 0.02 | 13% | 19 Aug → | ||
| 13–6 | -0.00 | 17% | 19 Aug → | ||
| 16–14 | 0.10 | 11% | 19 Aug → | ||
| 5–13 | 0.08 | 16% | 19 Aug → | ||
| 13–2 | 0.05 | 24% | 19 Aug → | ||
| debris | 8–8 | 0.10 | 33% | 19 Aug → | |
| 6–13 | 0.04 | 9% | 18 Aug → | ||
| 11–13 | 0.07 | 21% | 18 Aug → | ||
| 16–14 | 0.04 | 29% | 18 Aug → | ||
| 8–8 | 0.16 | 25% | 18 Aug → | ||
| debris | 6–9 | 0.04 | 16% | 18 Aug → | |
| debris | 6–9 | -0.00 | 9% | 17 Aug → | |
| 8–8 | 0.05 | 26% | 17 Aug → | ||
| 4–9 | -0.11 | 44% | 17 Aug → | ||
| debris | 9–7 | -0.01 | 20% | 16 Aug → | |
| eldorado | 9–4 | 0.10 | 50% | 16 Aug → | |
| 2–9 | -0.14 | 31% | 15 Aug → | ||
| eldorado | 9–2 | 0.14 | 40% | 15 Aug → | |
| 7–9 | -0.02 | 36% | 15 Aug → | ||
| 13–4 | 0.20 | 20% | 14 Aug → | ||
| 9–13 | 0.03 | 39% | 14 Aug → | ||
| 7–13 | 0.08 | 32% | 13 Aug → | ||
| 10–13 | -0.01 | 35% | 13 Aug → | ||
| 8–13 | 0.06 | 32% | 13 Aug → | ||
| 13–5 | 0.09 | 29% | 13 Aug → | ||
| 13–9 | 0.05 | 22% | 13 Aug → | ||
| 13–7 | 0.04 | 22% | 13 Aug → | ||
| 9–4 | 0.27 | 18% | 13 Aug → | ||
| 4–9 | -0.02 | 13% | 13 Aug → | ||
| eldorado | 9–7 | 0.03 | 29% | 13 Aug → | |
| debris | 9–4 | 0.04 | 14% | 12 Aug → | |
| 9–6 | 0.08 | 15% | 12 Aug → | ||
| 7–9 | -0.07 | 8% | 12 Aug → | ||
| 9–2 | 0.25 | 16% | 12 Aug → | ||
| 7–13 | 0.01 | 7% | 12 Aug → | ||
| 13–11 | 0.11 | 19% | 12 Aug → | ||
| eldorado | 9–5 | 0.19 | 21% | 12 Aug → | |
| debris | 9–1 | 0.15 | 15% | 12 Aug → | |
| 9–2 | 0.17 | 24% | 11 Aug → | ||
| 4–9 | -0.19 | 14% | 11 Aug → | ||
| 9–3 | 0.19 | 24% | 11 Aug → | ||
| 10–13 | 0.01 | 22% | 11 Aug → | ||
| debris | 1–9 | -0.20 | 25% | 10 Aug → | |
| eldorado | 8–8 | -0.08 | 26% | 10 Aug → | |
| 9–1 | 0.39 | 30% | 10 Aug → | ||
| 2–9 | -0.07 | 54% | 10 Aug → | ||
| 9–3 | 0.20 | 29% | 10 Aug → | ||
| eldorado | 4–9 | -0.10 | 8% | 9 Aug → | |
| debris | 9–0 | 0.08 | 12% | 9 Aug → | |
| 9–2 | 0.06 | 25% | 9 Aug → | ||
| 9–6 | 0.10 | 11% | 9 Aug → | ||
| 7–9 | 0.01 | 36% | 7 Aug → | ||
| 1–9 | -0.21 | 0% | 7 Aug → | ||
| eldorado | 9–7 | 0.09 | 22% | 7 Aug → | |
| 13–11 | -0.03 | 22% | 6 Aug → | ||
| 8–13 | 0.06 | 27% | 6 Aug → | ||
| 8–13 | -0.02 | 20% | 6 Aug → | ||
| 13–10 | 0.07 | 18% | 6 Aug → | ||
| 8–13 | -0.01 | 14% | 6 Aug → |
Match data via Leetify.