Prata — CS2 Stats
76561198874226264[U:1:913960536]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 | Level 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 58.4% | 47.0% | 48.5% | above |
| Shot accuracy | 11.7% | 12.7% | 13.3% | 1.6% short |
| Kill/death ratio | 0.95 | 1.07 | 1.07 | 0.13 short |
| Match win rate | 48.6% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: -20pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerReliable in 1v1s
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 sh1ro 89% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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. 71% 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 71% on CT to 36% 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 6.5/10 (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 |
|---|---|---|---|---|---|
 mirage | C | 33 | 14–19 | 42% | 0.03 |
 dust2 | A | 18 | 11–7 | 61% | 0.03 |
 anubis | S | 13 | 10–3 | 77% | 0.02 |
 inferno | S | 10 | 8–2 | 80% | 0.01 |
 train | S | 6 | 4–2 | 67% | 0.03 |
 nuke | A | 5 | 3–2 | 60% | 0.03 |
 ancient | — | 4 | 1–3 | 25% | -0.03 |
 overpass | — | 2 | 0–2 | 0% | -0.02 |
| grail | — | 2 | 1–1 | 50% | 0.05 |
 vertigo | — | 2 | 1–1 | 50% | -0.03 |
 cache | — | 1 | 1–0 | 100% | 0.07 |
| office | — | 1 | 0–1 | 0% | -0.06 |
| jura | — | 1 | 1–0 | 100% | -0.01 |
| thera | — | 1 | 1–0 | 100% | 0.20 |
| mills | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (42% over 33). Start with the 6 essential Mirage 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 13 | 46% | 1.09 | 18.5 |
| Vertigo | 5 | 60% | 1.19 | 15.8 |
| Anubis | 2 | 0% | 0.67 | 10.0 |
| Inferno | 2 | 0% | 0.86 | 13.5 |
| Nuke | 1 | 100% | 1.33 | 32.0 |
| Ancient | 1 | 0% | 0.93 | 14.0 |
| Dust2 | 1 | 0% | 0.93 | 14.0 |
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 36.0507% — 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.
42% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 8–13 | 0.04 | 20% | 29 Aug → | |
| dust2 | 3–13 | -0.01 | 17% | 29 Aug → | |
| anubis | 13–10 | 0.09 | 34% | 17 Aug → | |
| inferno | 9–13 | 0.02 | 26% | 17 Aug → | |
| ancient | 6–13 | -0.07 | 25% | 8 Jul → | |
| cache | 13–3 | 0.07 | 41% | 8 Jul → | |
| inferno | 13–10 | -0.01 | 13% | 8 Jul → | |
| mirage | 13–6 | 0.05 | 16% | 8 Jul → | |
| anubis | 16–13 | 0.04 | 16% | 24 Jun → | |
| mirage | 14–16 | 0.04 | 31% | 24 Jun → | |
| dust2 | 13–11 | -0.01 | 27% | 24 Jun → | |
| dust2 | 13–8 | 0.05 | 17% | 20 May → | |
| mirage | 13–9 | -0.01 | 28% | 20 May → | |
| dust2 | 7–13 | -0.02 | 26% | 20 May → | |
| anubis | 13–11 | 0.00 | 22% | 20 May → | |
| mirage | 13–4 | -0.02 | 24% | 20 May → | |
| dust2 | 13–8 | -0.02 | 7% | 20 May → | |
| mirage | 4–13 | -0.01 | 19% | 12 May → | |
| anubis | 13–8 | 0.02 | 27% | 12 May → | |
| mirage | 13–16 | -0.05 | 29% | 26 Apr → | |
| inferno | 13–6 | 0.05 | 32% | 10 Apr → | |
| anubis | 13–8 | 0.00 | 14% | 10 Apr → | |
| mirage | 6–13 | 0.04 | 32% | 10 Apr → | |
| mirage | 4–13 | 0.04 | 10% | 9 Apr → | |
| dust2 | 8–13 | -0.02 | 19% | 8 Apr → | |
| inferno | 13–10 | -0.04 | 18% | 19 Mar → | |
| dust2 | 11–13 | 0.01 | 24% | 19 Mar → | |
| inferno | 9–13 | -0.00 | 35% | 18 Mar → | |
| anubis | 10–13 | 0.04 | 19% | 17 Mar → | |
| mirage | 13–4 | 0.09 | 21% | 7 Mar → | |
| inferno | 13–11 | 0.02 | 12% | 26 Feb → | |
| nuke | 10–13 | -0.03 | 16% | 24 Feb → | |
| nuke | 9–13 | 0.12 | 24% | 23 Feb → | |
| mirage | 0–13 | -0.03 | 24% | 10 Feb → | |
| dust2 | 13–8 | -0.01 | 17% | 10 Feb → | |
| mirage | 8–13 | 0.00 | 17% | 10 Feb → | |
| ancient | 3–13 | -0.07 | 18% | 29 Jan → | |
| anubis | 9–13 | -0.02 | 28% | 29 Jan → | |
| mirage | 13–7 | 0.06 | 24% | 28 Jan → | |
| mirage | 19–22 | -0.01 | 17% | 27 Jan → | |
| mirage | 11–13 | -0.03 | 20% | 26 Jan → | |
| ancient | 13–8 | 0.04 | 20% | 23 Jan → | |
| anubis | 13–8 | 0.06 | 11% | 22 Jan → | |
| anubis | 3–13 | -0.06 | 12% | 21 Jan → | |
| overpass | 11–13 | -0.01 | 38% | 21 Jan → | |
| nuke | 13–11 | -0.05 | 25% | 21 Jan → | |
| mirage | 17–19 | 0.02 | 26% | 21 Jan → | |
| overpass | 10–13 | -0.04 | 13% | 19 Jan → | |
| mirage | 13–9 | 0.07 | 27% | 19 Jan → | |
| mirage | 13–10 | 0.00 | 25% | 19 Jan → | |
| inferno | 13–10 | 0.01 | 32% | 19 Jan → | |
| dust2 | 15–3 | 0.01 | 14% | 9 Jan → | |
| mirage | 14–7 | 0.01 | 20% | 9 Jan → | |
| train | 8–13 | -0.03 | 25% | 6 Jan → | |
| dust2 | 5–0 | 0.14 | 28% | 13 Nov → | |
| inferno | 13–4 | 0.05 | 21% | 21 Oct → | |
| dust2 | 13–7 | 0.01 | 26% | 21 Sept → | |
| mirage | 10–13 | 0.01 | 28% | 19 Sept → | |
| dust2 | 9–13 | 0.08 | 22% | 16 Sept → | |
| mirage | 6–13 | 0.04 | 25% | 2 Sept → | |
| mirage | 3–13 | 0.03 | 26% | 28 Aug → | |
| train | 13–7 | -0.01 | 25% | 2 Aug → | |
| mirage | 13–3 | 0.11 | 19% | 16 Jul → | |
| mirage | 13–8 | 0.10 | 15% | 30 Jun → | |
| mirage | 13–11 | 0.05 | 13% | 30 Jun → | |
| mirage | 12–12 | -0.02 | 16% | 28 Jun → | |
| office | 0–3 | -0.06 | 0% | 13 Jun → | |
| mirage | 13–0 | 0.09 | 15% | 9 Jun → | |
| dust2 | 3–13 | 0.03 | 27% | 6 Jun → | |
| jura | 13–9 | -0.01 | 27% | 16 May → | |
| mirage | 13–3 | 0.25 | 28% | 16 May → | |
| mirage | 3–13 | -0.01 | 16% | 16 May → | |
| mirage | 5–13 | 0.06 | 15% | 8 May → | |
| grail | 13–3 | 0.03 | 26% | 8 May → | |
| grail | 8–13 | 0.07 | 21% | 7 May → | |
| dust2 | 13–6 | 0.02 | 23% | 7 May → | |
| mirage | 13–4 | 0.04 | 29% | 7 May → | |
| train | 13–6 | 0.03 | 30% | 25 Apr → | |
| anubis | 4–2 | -0.01 | 50% | 21 Apr → | |
| mirage | 6–13 | -0.01 | 13% | 21 Apr → | |
| train | 13–2 | 0.08 | 15% | 13 Apr → | |
| anubis | 13–6 | 0.03 | 25% | 4 Apr → | |
| dust2 | 15–15 | 0.02 | 17% | 3 Apr → | |
| inferno | 13–7 | -0.01 | 12% | 1 Apr → | |
| nuke | 13–9 | 0.07 | 13% | 1 Apr → | |
| anubis | 13–6 | 0.05 | 13% | 14 Mar → | |
| inferno | 13–2 | 0.04 | 33% | 3 Feb → | |
| dust2 | 13–7 | 0.07 | 37% | 6 Dec → | |
| train | 13–4 | 0.08 | 33% | 28 Nov → | |
| train | 6–13 | 0.02 | 24% | 28 Nov → | |
| vertigo | 7–13 | -0.04 | 8% | 2 Nov → | |
| vertigo | 13–11 | -0.01 | 26% | 3 Oct → | |
| nuke | 13–5 | 0.06 | 16% | 3 Oct → | |
| dust2 | 13–3 | 0.16 | 27% | 8 Aug → | |
| thera | 13–5 | 0.20 | 31% | 5 Jul → | |
| mills | 13–6 | 0.02 | 25% | 26 Jun → | |
| dust2 | 13–11 | -0.00 | 17% | 3 May → | |
| anubis | 13–4 | 0.01 | 26% | 29 Apr → | |
| ancient | 9–13 | -0.03 | 18% | 16 Apr → | |
| mirage | 7–13 | 0.01 | 20% | 5 Apr → |
Match data via Leetify.
