petro — CS2 Stats
RS76561198319210063[U:1:358944335]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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 88 — the mechanical foundation is a clear strength.
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 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 610ms 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 (×1.05 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 |
|---|---|---|---|---|---|
| S | 37 | 25–12 | 68% | 0.03 | |
| C | 17 | 7–10 | 41% | 0.00 | |
| C | 11 | 4–7 | 36% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.04 | |
| A | 10 | 6–4 | 60% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 264 | 55% | 1.32 | 18.8 |
| Ancient | 136 | 60% | 1.40 | 19.1 |
| Anubis | 89 | 63% | 1.27 | 17.1 |
| Dust2 | 81 | 52% | 1.28 | 18.5 |
| Vertigo | 45 | 67% | 1.36 | 18.0 |
| Nuke | 29 | 59% | 1.35 | 19.2 |
| Inferno | 28 | 54% | 1.26 | 19.5 |
| Overpass | 25 | 56% | 1.58 | 21.3 |
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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–16 | 0.00 | 32% | 19 Aug → | ||
| 13–5 | 0.07 | 33% | 26 Jul → | ||
| 13–3 | 0.02 | 24% | 23 Jul → | ||
| 2–13 | -0.03 | 23% | 23 Jul → | ||
| 13–1 | 0.11 | 39% | 23 Jul → | ||
| 7–13 | -0.05 | 30% | 19 Jul → | ||
| 2–13 | 0.01 | 46% | 18 Jul → | ||
| 3–13 | -0.07 | 11% | 12 Jul → | ||
| 1–13 | -0.09 | 22% | 12 Jul → | ||
| 16–12 | 0.06 | 24% | 7 Jul → | ||
| 11–13 | 0.02 | 26% | 18 May → | ||
| 13–3 | 0.13 | 24% | 18 May → | ||
| 10–13 | 0.07 | 36% | 18 May → | ||
| 0–5 | -0.09 | 14% | 17 May → | ||
| 16–14 | 0.08 | 24% | 17 May → | ||
| 7–13 | -0.01 | 27% | 17 May → | ||
| 13–11 | 0.04 | 17% | 13 May → | ||
| 9–13 | -0.01 | 16% | 12 May → | ||
| 7–13 | -0.04 | 17% | 8 May → | ||
| 13–9 | 0.07 | 20% | 3 May → | ||
| 13–8 | -0.02 | 28% | 29 Apr → | ||
| 5–13 | -0.03 | 19% | 24 Apr → | ||
| 13–16 | -0.01 | 22% | 24 Apr → | ||
| 13–11 | 0.07 | 42% | 21 Apr → | ||
| 16–12 | 0.12 | 29% | 21 Apr → | ||
| 13–2 | 0.03 | 21% | 21 Apr → | ||
| 13–9 | -0.01 | 24% | 21 Apr → | ||
| 14–16 | 0.08 | 29% | 20 Apr → | ||
| 13–5 | 0.15 | 32% | 20 Apr → | ||
| 13–3 | 0.15 | 21% | 20 Apr → | ||
| 10–13 | 0.06 | 19% | 20 Apr → | ||
| 10–13 | -0.00 | 21% | 19 Apr → | ||
| 13–5 | -0.01 | 24% | 18 Apr → | ||
| 13–8 | 0.11 | 18% | 18 Apr → | ||
| 13–8 | 0.05 | 27% | 18 Apr → | ||
| 6–13 | -0.06 | 26% | 16 Apr → | ||
| 13–7 | 0.04 | 38% | 16 Apr → | ||
| 6–13 | 0.01 | 24% | 15 Apr → | ||
| 6–13 | -0.00 | 30% | 15 Apr → | ||
| 13–4 | 0.10 | 32% | 15 Apr → | ||
| 4–13 | -0.01 | 35% | 15 Apr → | ||
| 10–13 | 0.07 | 30% | 15 Apr → | ||
| 16–13 | 0.12 | 29% | 15 Apr → | ||
| 10–13 | 0.07 | 31% | 10 Apr → | ||
| 16–14 | 0.04 | 31% | 10 Apr → | ||
| 13–5 | -0.01 | 14% | 10 Apr → | ||
| 13–7 | 0.02 | 27% | 10 Apr → | ||
| 13–5 | 0.15 | 31% | 10 Apr → | ||
| 13–6 | 0.16 | 26% | 10 Apr → | ||
| 3–13 | 0.02 | 28% | 10 Apr → | ||
| 13–11 | 0.03 | 26% | 10 Apr → | ||
| 10–13 | 0.08 | 32% | 9 Apr → | ||
| 13–10 | 0.00 | 19% | 9 Apr → | ||
| 6–13 | 0.00 | 29% | 8 Apr → | ||
| 11–13 | -0.03 | 26% | 5 Apr → | ||
| 13–5 | 0.08 | 28% | 9 Mar → | ||
| 13–1 | 0.03 | 18% | 4 Mar → | ||
| 13–7 | 0.04 | 22% | 22 Feb → | ||
| 13–8 | 0.08 | 40% | 22 Feb → | ||
| 8–13 | -0.09 | 38% | 22 Feb → | ||
| 13–16 | 0.01 | 30% | 21 Feb → | ||
| 9–13 | 0.06 | 31% | 21 Feb → | ||
| 5–13 | -0.04 | 24% | 19 Feb → | ||
| 9–13 | 0.00 | 11% | 15 Feb → | ||
| 13–7 | -0.02 | 24% | 13 Feb → | ||
| 13–11 | -0.01 | 23% | 13 Feb → | ||
| 13–3 | -0.04 | 13% | 13 Feb → | ||
| 4–13 | -0.09 | 17% | 12 Feb → | ||
| 13–11 | 0.04 | 28% | 12 Feb → | ||
| 6–13 | -0.02 | 22% | 8 Feb → | ||
| 13–16 | 0.00 | 27% | 8 Feb → | ||
| 1–13 | -0.09 | 18% | 8 Feb → | ||
| 13–10 | -0.03 | 19% | 7 Feb → | ||
| 13–7 | 0.05 | 27% | 7 Feb → | ||
| 5–13 | -0.04 | 31% | 7 Feb → | ||
| 10–13 | 0.05 | 33% | 7 Feb → | ||
| 13–4 | 0.03 | 56% | 3 Feb → | ||
| 13–9 | 0.05 | 18% | 3 Feb → | ||
| 10–13 | -0.02 | 41% | 30 Jan → | ||
| 13–6 | 0.04 | 26% | 29 Jan → | ||
| 13–4 | 0.05 | 38% | 29 Jan → | ||
| 3–13 | 0.01 | 44% | 15 Jan → | ||
| 7–13 | -0.04 | 13% | 28 Dec → | ||
| 13–10 | 0.05 | 26% | 24 Dec → | ||
| 13–5 | 0.02 | 11% | 22 Dec → | ||
| 13–8 | 0.00 | 30% | 22 Dec → | ||
| 13–6 | 0.08 | 33% | 20 Dec → | ||
| 13–5 | 0.15 | 41% | 20 Dec → | ||
| 13–7 | 0.02 | 20% | 20 Dec → | ||
| 13–10 | 0.11 | 27% | 18 Dec → | ||
| 13–11 | 0.07 | 35% | 18 Dec → | ||
| 5–13 | -0.06 | 16% | 17 Dec → | ||
| 13–9 | -0.02 | 18% | 17 Dec → | ||
| 13–6 | -0.04 | 19% | 17 Dec → | ||
| 13–11 | 0.05 | 17% | 16 Dec → | ||
| 13–11 | -0.03 | 25% | 16 Dec → | ||
| 13–2 | 0.14 | 38% | 16 Dec → | ||
| 8–13 | 0.08 | 26% | 16 Dec → | ||
| 5–13 | -0.06 | 18% | 15 Dec → | ||
| 13–7 | 0.06 | 26% | 15 Dec → |
Match data via Leetify.