DPestinha37 — CS2 Stats
PT76561198031922408[U:1:71656680]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median |
|---|---|---|
| Headshot rate | 39.3% | 52.0% |
| Shot accuracy | 12.7% | 13.7% |
| Kill/death ratio | 0.93 | 1.08 |
| Match win rate | 47.2% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
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 NiKo 87% playstyle similarity
Most alike: opening-duel success, 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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 31 | 17–14 | 55% | 0.01 | |
| D | 19 | 5–14 | 26% | -0.01 | |
| D | 15 | 4–11 | 27% | 0.00 | |
| A | 13 | 8–5 | 62% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| golden | — | 1 | 0–1 | 0% | -0.03 |
| palacio | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Dust 2 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 267 | 47% | 1.03 | 15.7 |
| Inferno | 262 | 57% | 1.03 | 15.6 |
| Dust2 | 235 | 49% | 0.94 | 14.9 |
| Ancient | 169 | 48% | 0.88 | 13.9 |
| Anubis | 101 | 44% | 0.94 | 14.0 |
| Nuke | 77 | 51% | 1.02 | 16.1 |
| Vertigo | 36 | 44% | 1.07 | 16.8 |
| Cache | 26 | 54% | 1.00 | 14.8 |
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 23.2069% — 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.
26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.03 | 14% | 26 Aug → | ||
| 13–7 | 0.08 | 20% | 24 Aug → | ||
| 11–13 | -0.02 | 27% | 22 Aug → | ||
| 13–11 | -0.02 | 34% | 16 Aug → | ||
| 1–13 | -0.04 | 19% | 16 Aug → | ||
| 9–13 | 0.01 | 29% | 15 Aug → | ||
| 13–5 | 0.05 | 38% | 11 Aug → | ||
| 4–13 | -0.08 | 20% | 9 Aug → | ||
| 13–8 | -0.02 | 8% | 9 Aug → | ||
| 13–16 | 0.01 | 18% | 2 Aug → | ||
| 13–8 | -0.01 | 18% | 2 Aug → | ||
| 8–13 | 0.01 | 28% | 19 Jul → | ||
| 11–13 | -0.04 | 17% | 17 Jul → | ||
| 13–4 | 0.05 | 56% | 17 Jul → | ||
| 13–11 | 0.06 | 26% | 17 Jul → | ||
| 2–13 | -0.01 | 6% | 15 Jul → | ||
| 8–13 | -0.00 | 18% | 9 Jul → | ||
| 9–13 | -0.04 | 17% | 5 Jul → | ||
| 5–13 | -0.03 | 34% | 5 Jul → | ||
| 13–2 | 0.09 | 8% | 4 Jul → | ||
| 11–13 | 0.04 | 26% | 22 Jun → | ||
| 14–16 | -0.00 | 15% | 22 Jun → | ||
| 14–16 | -0.03 | 24% | 10 Jun → | ||
| 15–15 | -0.02 | 22% | 7 Jun → | ||
| 13–11 | -0.02 | 19% | 7 Jun → | ||
| 13–8 | -0.01 | 14% | 7 Jun → | ||
| 9–13 | 0.06 | 19% | 31 May → | ||
| 7–13 | 0.01 | 28% | 31 May → | ||
| 6–13 | -0.04 | 12% | 27 May → | ||
| 14–16 | -0.01 | 22% | 24 May → | ||
| 13–6 | 0.05 | 24% | 24 May → | ||
| 13–6 | 0.05 | 26% | 17 May → | ||
| 6–13 | -0.08 | 23% | 17 May → | ||
| 10–13 | -0.05 | 15% | 16 May → | ||
| 13–3 | 0.02 | 11% | 16 May → | ||
| 13–10 | -0.01 | 15% | 3 May → | ||
| 13–5 | -0.03 | 16% | 28 Apr → | ||
| 4–13 | -0.02 | 19% | 23 Apr → | ||
| 13–10 | 0.02 | 37% | 21 Apr → | ||
| 8–13 | -0.03 | 17% | 14 Apr → | ||
| 13–5 | 0.06 | 27% | 5 Apr → | ||
| 8–13 | -0.03 | 8% | 5 Apr → | ||
| 13–11 | -0.03 | 18% | 1 Apr → | ||
| 13–3 | -0.01 | 37% | 1 Apr → | ||
| 11–13 | 0.02 | 20% | 31 Mar → | ||
| 13–7 | 0.10 | 15% | 23 Mar → | ||
| 13–10 | -0.02 | 22% | 23 Mar → | ||
| 13–8 | 0.10 | 18% | 18 Mar → | ||
| 13–5 | 0.02 | 20% | 15 Mar → | ||
| 9–13 | -0.04 | 14% | 15 Mar → | ||
| 15–15 | 0.05 | 22% | 4 Mar → | ||
| 7–13 | -0.04 | 14% | 3 Mar → | ||
| 11–13 | -0.04 | 22% | 23 Feb → | ||
| 13–10 | 0.10 | 16% | 18 Feb → | ||
| 6–13 | -0.06 | 18% | 16 Feb → | ||
| 22–19 | -0.01 | 14% | 12 Feb → | ||
| 6–13 | -0.02 | 16% | 6 Feb → | ||
| 7–13 | -0.05 | 17% | 17 Jan → | ||
| 19–16 | 0.04 | 16% | 2 Jan → | ||
| 10–13 | 0.02 | 24% | 27 Dec → | ||
| 13–16 | 0.04 | 21% | 17 Dec → | ||
| 10–13 | -0.00 | 11% | 7 Dec → | ||
| 6–13 | -0.05 | 10% | 6 Dec → | ||
| 11–13 | 0.04 | 13% | 1 Dec → | ||
| 14–16 | -0.00 | 22% | 20 Nov → | ||
| 10–13 | 0.01 | 18% | 13 Nov → | ||
| 6–12 | -0.00 | 13% | 11 Nov → | ||
| 9–13 | -0.06 | 23% | 8 Nov → | ||
| 13–11 | 0.02 | 21% | 5 Nov → | ||
| 13–9 | 0.03 | 21% | 5 Nov → | ||
| 13–4 | 0.05 | 17% | 3 Nov → | ||
| 13–7 | 0.02 | 12% | 3 Nov → | ||
| 9–13 | -0.06 | 23% | 3 Nov → | ||
| 13–8 | 0.01 | 18% | 27 Oct → | ||
| 6–13 | 0.06 | 25% | 21 Oct → | ||
| 6–11 | -0.01 | 10% | 20 Oct → | ||
| 2–13 | -0.09 | 26% | 18 Oct → | ||
| 1–13 | -0.09 | 37% | 18 Oct → | ||
| 16–14 | -0.01 | 10% | 13 Oct → | ||
| 7–13 | -0.05 | 7% | 13 Oct → | ||
| 7–13 | -0.00 | 20% | 11 Oct → | ||
| 12–16 | -0.01 | 17% | 11 Oct → | ||
| 13–8 | 0.01 | 22% | 11 Oct → | ||
| 13–9 | -0.02 | 16% | 10 Oct → | ||
| 7–13 | -0.02 | 27% | 10 Oct → | ||
| 6–13 | -0.02 | 19% | 10 Oct → | ||
| 13–11 | -0.01 | 10% | 9 Oct → | ||
| 9–4 | 0.13 | 13% | 9 Oct → | ||
| 7–13 | -0.07 | 14% | 8 Oct → | ||
| 13–11 | -0.05 | 22% | 8 Oct → | ||
| 13–2 | -0.06 | 17% | 8 Oct → | ||
| 8–13 | -0.06 | 28% | 8 Oct → | ||
| 11–13 | -0.02 | 8% | 8 Oct → | ||
| 5–13 | -0.05 | 16% | 6 Oct → | ||
| 13–11 | 0.03 | 18% | 6 Oct → | ||
| golden | 9–13 | -0.03 | 25% | 2 Oct → | |
| palacio | 13–6 | 0.11 | 15% | 2 Oct → | |
| 13–9 | -0.02 | 21% | 17 Sept → | ||
| 13–8 | -0.02 | 8% | 29 Aug → | ||
| 13–6 | -0.03 | 10% | 25 Aug → |
Match data via Leetify.
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