Panty Yogurt — CS2 Stats
76561198419143180[U:1:458877452]
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 | 41.7% | 47.2% | 49.0% | 7.3% short |
| Shot accuracy | 15.7% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.14 | 1.07 | 1.08 | above |
| Match win rate | 43.5% | 46.3% | 46.9% | 3.5% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 device 96% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 93 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
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 7.5/10 (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 |
|---|---|---|---|---|---|
 dust2 | A | 33 | 21–12 | 64% | 0.03 |
 mirage | S | 20 | 15–5 | 75% | 0.04 |
 inferno | A | 11 | 6–5 | 55% | 0.06 |
 cache | C | 10 | 4–6 | 40% | 0.02 |
 ancient | A | 9 | 5–4 | 56% | 0.02 |
 nuke | S | 6 | 4–2 | 67% | 0.05 |
 overpass | A | 5 | 3–2 | 60% | 0.02 |
 anubis | — | 4 | 4–0 | 100% | 0.05 |
 train | — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
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 |
|---|---|---|---|---|
| Dust2 | 8 | 88% | 2.58 | 23.0 |
| Mirage | 7 | 100% | 3.90 | 22.7 |
| Ancient | 2 | 50% | 2.46 | 20.0 |
| Nuke | 1 | 100% | 2.83 | 34.0 |
| Overpass | 1 | 100% | 2.90 | 29.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–7 | 0.04 | 32% | 6 Aug → | |
| cache | 7–13 | 0.05 | 52% | 6 Aug → | |
| dust2 | 9–13 | -0.02 | 16% | 6 Aug → | |
| inferno | 2–9 | -0.05 | 70% | 26 Jul → | |
| inferno | 9–5 | 0.15 | 18% | 26 Jul → | |
| dust2 | 2–13 | -0.03 | 18% | 26 Jul → | |
| inferno | 10–13 | 0.03 | 26% | 25 Jul → | |
| dust2 | 13–5 | 0.03 | 36% | 25 Jul → | |
| inferno | 8–13 | 0.06 | 17% | 25 Jul → | |
| ancient | 12–12 | 0.04 | 25% | 24 Jul → | |
| mirage | 13–9 | 0.06 | 24% | 24 Jul → | |
| anubis | 13–10 | 0.10 | 12% | 23 Jul → | |
| anubis | 13–10 | 0.01 | 17% | 23 Jul → | |
| cache | 2–13 | -0.08 | 16% | 22 Jul → | |
| dust2 | 9–13 | 0.12 | 31% | 22 Jul → | |
| dust2 | 1–13 | -0.03 | 14% | 22 Jul → | |
| dust2 | 13–7 | 0.07 | 23% | 21 Jul → | |
| mirage | 13–0 | 0.00 | 14% | 20 Jul → | |
| dust2 | 16–14 | 0.01 | 15% | 19 Jul → | |
| cache | 8–13 | -0.01 | 24% | 19 Jul → | |
| cache | 12–12 | 0.00 | 10% | 19 Jul → | |
| dust2 | 12–12 | 0.11 | 35% | 18 Jul → | |
| dust2 | 2–6 | 0.00 | 0% | 18 Jul → | |
| dust2 | 13–9 | 0.03 | 12% | 18 Jul → | |
| dust2 | 13–9 | 0.04 | 22% | 18 Jul → | |
| cache | 11–13 | 0.03 | 26% | 18 Jul → | |
| mirage | 13–6 | 0.04 | 31% | 18 Jul → | |
| nuke | 12–12 | 0.09 | 28% | 17 Jul → | |
| dust2 | 13–7 | 0.00 | 22% | 16 Jul → | |
| mirage | 13–6 | 0.16 | 14% | 16 Jul → | |
| nuke | 16–13 | 0.03 | 43% | 16 Jul → | |
| dust2 | 13–1 | 0.02 | 0% | 15 Jul → | |
| mirage | 13–5 | 0.05 | 26% | 14 Jul → | |
| inferno | 13–10 | 0.16 | 36% | 14 Jul → | |
| mirage | 13–4 | 0.07 | 36% | 12 Jul → | |
| cache | 16–13 | 0.06 | 22% | 12 Jul → | |
| dust2 | 16–14 | 0.07 | 25% | 12 Jul → | |
| mirage | 7–13 | 0.05 | 16% | 12 Jul → | |
| dust2 | 13–9 | 0.08 | 11% | 12 Jul → | |
| dust2 | 3–13 | 0.02 | 28% | 12 Jul → | |
| inferno | 16–14 | 0.10 | 25% | 11 Jul → | |
| dust2 | 5–13 | 0.06 | 31% | 11 Jul → | |
| mirage | 11–13 | -0.03 | 19% | 11 Jul → | |
| inferno | 5–13 | 0.04 | 36% | 11 Jul → | |
| cache | 7–13 | 0.06 | 15% | 11 Jul → | |
| dust2 | 13–7 | 0.07 | 16% | 11 Jul → | |
| cache | 13–5 | -0.00 | 20% | 11 Jul → | |
| mirage | 13–3 | 0.01 | 27% | 11 Jul → | |
| nuke | 13–8 | 0.03 | 31% | 10 Jul → | |
| inferno | 13–10 | 0.07 | 29% | 10 Jul → | |
| inferno | 8–13 | 0.05 | 22% | 5 Jul → | |
| dust2 | 13–2 | -0.00 | 5% | 3 Jul → | |
| ancient | 13–1 | 0.10 | 37% | 1 Jul → | |
| dust2 | 0–13 | -0.03 | 0% | 27 Jun → | |
| mirage | 13–5 | 0.02 | 29% | 27 Jun → | |
| dust2 | 13–7 | 0.09 | 22% | 7 Jun → | |
| ancient | 7–13 | -0.04 | 26% | 6 Jun → | |
| nuke | 13–9 | 0.08 | 35% | 30 May → | |
| mirage | 13–0 | 0.04 | 18% | 24 May → | |
| mirage | 7–3 | 0.01 | 17% | 24 May → | |
| cache | 13–6 | 0.02 | 17% | 24 May → | |
| cache | 13–9 | 0.12 | 44% | 24 May → | |
| dust2 | 13–11 | -0.03 | 30% | 23 May → | |
| mirage | 13–7 | 0.02 | 29% | 23 May → | |
| mirage | 8–13 | 0.02 | 29% | 23 May → | |
| dust2 | 13–4 | -0.03 | 23% | 18 May → | |
| dust2 | 13–7 | 0.05 | 27% | 17 May → | |
| mirage | 11–13 | 0.01 | 19% | 17 May → | |
| dust2 | 14–16 | -0.00 | 32% | 1 Mar → | |
| dust2 | 8–13 | 0.02 | 27% | 1 Mar → | |
| dust2 | 13–10 | 0.10 | 31% | 28 Feb → | |
| mirage | 13–16 | 0.03 | 25% | 21 Feb → | |
| anubis | 13–11 | 0.04 | 25% | 15 Feb → | |
| ancient | 7–13 | -0.03 | 16% | 15 Feb → | |
| ancient | 13–11 | 0.03 | 33% | 15 Feb → | |
| mirage | 13–5 | 0.17 | 24% | 15 Feb → | |
| anubis | 13–3 | 0.06 | 22% | 14 Feb → | |
| dust2 | 13–6 | 0.06 | 23% | 14 Feb → | |
| overpass | 13–10 | 0.05 | 29% | 14 Feb → | |
| train | 13–11 | 0.02 | 34% | 18 Jan → | |
| overpass | 13–3 | -0.01 | 18% | 18 Jan → | |
| dust2 | 6–0 | 0.09 | 33% | 18 Jan → | |
| dust2 | 7–13 | -0.03 | 33% | 18 Jan → | |
| overpass | 8–13 | 0.01 | 29% | 18 Jan → | |
| dust2 | 16–13 | 0.03 | 27% | 17 Jan → | |
| mirage | 13–5 | 0.05 | 19% | 17 Jan → | |
| nuke | 13–8 | 0.07 | 29% | 17 Jan → | |
| inferno | 13–3 | 0.04 | 30% | 17 Jan → | |
| ancient | 13–8 | 0.06 | 18% | 17 Jan → | |
| overpass | 12–16 | 0.02 | 26% | 17 Jan → | |
| dust2 | 13–3 | 0.06 | 21% | 16 Jan → | |
| overpass | 13–6 | 0.05 | 25% | 16 Jan → | |
| mirage | 13–9 | 0.04 | 22% | 11 Jan → | |
| dust2 | 13–8 | 0.09 | 44% | 11 Jan → | |
| nuke | 6–13 | 0.01 | 39% | 10 Jan → | |
| inferno | 13–6 | -0.00 | 28% | 10 Jan → | |
| train | 6–13 | 0.02 | 29% | 10 Jan → | |
| ancient | 13–10 | -0.01 | 34% | 10 Jan → | |
| ancient | 13–16 | -0.01 | 38% | 6 Jan → | |
| mirage | 13–11 | 0.03 | 53% | 5 Jan → |
Match data via Leetify.