petal — CS2 Stats
IS76561198086223064[U:1:125957336]Steam profile ↗✓ No bans
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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: 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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 97 — 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 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 8.6/10 (Elite), 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 |
|---|---|---|---|---|---|
| B | 21 | 10–11 | 48% | 0.01 | |
| A | 19 | 12–7 | 63% | 0.02 | |
| S | 17 | 14–3 | 82% | 0.02 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| S | 9 | 8–1 | 89% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (48% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 135 | 69% | 1.48 | 16.6 |
| Mirage | 115 | 60% | 1.71 | 18.2 |
| Anubis | 81 | 62% | 1.46 | 15.9 |
| Dust2 | 78 | 69% | 1.54 | 18.3 |
| Inferno | 69 | 72% | 1.68 | 16.1 |
| Overpass | 31 | 81% | 1.48 | 15.7 |
| Nuke | 31 | 58% | 1.41 | 15.3 |
| Train | 18 | 67% | 1.67 | 19.6 |
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.
48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.02 | 33% | 9 Aug → | ||
| 13–6 | 0.07 | 32% | 9 Aug → | ||
| 7–13 | 0.02 | 29% | 9 Aug → | ||
| 13–2 | -0.02 | 8% | 8 Aug → | ||
| 13–10 | 0.03 | 29% | 8 Aug → | ||
| 13–8 | 0.13 | 24% | 7 Aug → | ||
| 13–10 | 0.06 | 47% | 7 Aug → | ||
| 13–5 | 0.01 | 25% | 7 Aug → | ||
| 13–7 | 0.09 | 35% | 7 Aug → | ||
| 13–11 | 0.06 | 26% | 6 Aug → | ||
| 16–14 | 0.01 | 19% | 6 Aug → | ||
| 13–6 | 0.05 | 38% | 6 Aug → | ||
| 13–8 | 0.05 | 33% | 6 Aug → | ||
| 7–13 | -0.02 | 16% | 6 Aug → | ||
| 13–6 | 0.04 | 25% | 5 Aug → | ||
| 13–5 | 0.05 | 36% | 5 Aug → | ||
| 13–9 | 0.04 | 29% | 5 Aug → | ||
| 13–2 | 0.08 | 32% | 5 Aug → | ||
| 13–8 | 0.06 | 30% | 6 Jul → | ||
| 16–13 | 0.02 | 38% | 6 Jul → | ||
| 1–8 | 0.01 | 14% | 10 May → | ||
| 13–3 | 0.06 | 36% | 10 May → | ||
| 7–13 | -0.04 | 15% | 10 May → | ||
| 13–5 | 0.12 | 56% | 9 May → | ||
| 13–8 | 0.04 | 35% | 9 May → | ||
| 11–13 | 0.01 | 27% | 8 May → | ||
| 13–9 | 0.01 | 24% | 8 May → | ||
| 12–16 | -0.03 | 33% | 8 May → | ||
| 13–6 | -0.01 | 17% | 6 May → | ||
| 13–10 | 0.00 | 19% | 21 Apr → | ||
| 10–13 | 0.06 | 43% | 21 Apr → | ||
| 13–7 | 0.05 | 45% | 21 Apr → | ||
| 13–10 | 0.01 | 22% | 18 Apr → | ||
| 16–14 | 0.04 | 43% | 18 Apr → | ||
| 10–13 | -0.06 | 15% | 17 Apr → | ||
| 11–13 | -0.04 | 36% | 17 Apr → | ||
| 4–13 | -0.05 | 42% | 15 Apr → | ||
| 10–13 | 0.00 | 44% | 15 Apr → | ||
| 13–6 | 0.09 | 32% | 15 Apr → | ||
| 6–13 | -0.03 | 26% | 20 Mar → | ||
| 6–13 | -0.00 | 43% | 20 Mar → | ||
| 13–8 | 0.02 | 28% | 19 Mar → | ||
| 13–6 | 0.07 | 25% | 19 Mar → | ||
| 9–13 | -0.00 | 29% | 19 Mar → | ||
| 13–6 | 0.05 | 38% | 18 Mar → | ||
| 19–17 | 0.02 | 29% | 18 Mar → | ||
| 13–8 | 0.03 | 23% | 16 Mar → | ||
| 13–10 | 0.04 | 28% | 16 Mar → | ||
| 13–9 | 0.04 | 23% | 14 Mar → | ||
| 4–13 | -0.07 | 46% | 12 Mar → | ||
| 13–10 | 0.03 | 29% | 12 Mar → | ||
| 5–13 | -0.02 | 75% | 12 Mar → | ||
| 11–13 | -0.06 | 20% | 12 Mar → | ||
| 11–13 | -0.04 | 53% | 12 Mar → | ||
| 13–9 | 0.02 | 31% | 12 Mar → | ||
| 13–7 | -0.03 | 67% | 11 Mar → | ||
| 13–7 | 0.07 | 38% | 11 Mar → | ||
| 13–11 | -0.01 | 27% | 11 Mar → | ||
| 5–13 | -0.02 | 46% | 11 Mar → | ||
| 11–13 | 0.01 | 27% | 11 Mar → | ||
| 13–5 | 0.06 | 38% | 9 Mar → | ||
| 13–8 | 0.05 | 39% | 9 Mar → | ||
| 19–17 | 0.02 | 33% | 6 Mar → | ||
| 13–7 | 0.07 | 69% | 6 Mar → | ||
| 13–2 | 0.06 | 43% | 4 Mar → | ||
| 13–8 | -0.02 | 24% | 4 Mar → | ||
| 13–11 | -0.04 | 23% | 2 Mar → | ||
| 13–8 | -0.00 | 57% | 2 Mar → | ||
| 10–13 | -0.03 | 21% | 2 Mar → | ||
| 13–11 | -0.03 | 20% | 22 Feb → | ||
| 6–13 | -0.03 | 35% | 22 Feb → | ||
| 10–13 | 0.01 | 53% | 22 Feb → | ||
| 2–13 | -0.08 | 27% | 18 Feb → | ||
| 13–2 | 0.03 | 35% | 18 Feb → | ||
| 9–13 | -0.00 | 63% | 18 Feb → | ||
| 13–9 | 0.00 | 47% | 13 Feb → | ||
| 13–4 | 0.02 | 21% | 13 Feb → | ||
| 8–13 | -0.02 | 29% | 13 Feb → | ||
| 13–9 | 0.01 | 17% | 11 Feb → | ||
| 10–13 | 0.01 | 38% | 11 Feb → | ||
| 13–7 | 0.00 | 25% | 11 Feb → | ||
| 13–7 | 0.04 | 46% | 8 Feb → | ||
| 13–5 | 0.08 | 30% | 6 Feb → | ||
| 11–13 | -0.04 | 17% | 6 Feb → | ||
| 11–13 | 0.03 | 23% | 6 Feb → | ||
| 13–4 | 0.06 | 33% | 5 Feb → | ||
| 13–8 | 0.00 | 44% | 5 Feb → | ||
| 13–2 | 0.07 | 32% | 4 Feb → | ||
| 10–13 | -0.03 | 22% | 4 Feb → | ||
| 4–13 | -0.00 | 42% | 4 Feb → | ||
| 13–7 | 0.06 | 22% | 4 Feb → | ||
| 4–13 | 0.01 | 27% | 4 Feb → | ||
| 13–9 | 0.07 | 21% | 3 Feb → | ||
| 13–10 | 0.01 | 38% | 3 Feb → | ||
| 13–11 | 0.08 | 45% | 2 Feb → | ||
| 13–2 | 0.00 | 36% | 2 Feb → | ||
| 9–13 | 0.00 | 15% | 2 Feb → | ||
| 13–10 | 0.06 | 57% | 2 Feb → | ||
| 13–8 | -0.03 | 17% | 2 Feb → | ||
| 8–13 | -0.00 | 40% | 2 Feb → |
Match data via Leetify.