PanStyx — CS2 Stats
76561198346718723[U:1:386452995]Steam profile ↗✓ No bans
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 | 36.3% | 52.0% |
| Shot accuracy | 14.6% | 13.7% |
| Kill/death ratio | 1.05 | 1.08 |
| Match win rate | 46.1% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 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 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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 85 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 61% on CT to 41% 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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | B | 28 | 15–13 | 54% | 0.00 |
 anubis | B | 20 | 10–10 | 50% | -0.01 |
 nuke | A | 14 | 9–5 | 64% | -0.02 |
 cache | B | 13 | 7–6 | 54% | 0.00 |
 inferno | A | 11 | 7–4 | 64% | 0.01 |
 dust2 | S | 6 | 4–2 | 67% | 0.02 |
 overpass | B | 6 | 3–3 | 50% | 0.03 |
 ancient | — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 20). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 20 | 55% | 1.13 | 15.1 |
| Mirage | 19 | 53% | 1.19 | 15.4 |
| Dust2 | 8 | 62% | 1.40 | 18.8 |
| Cache | 8 | 75% | 1.19 | 20.6 |
| Inferno | 7 | 43% | 1.06 | 13.4 |
| Overpass | 7 | 71% | 1.54 | 19.9 |
| Nuke | 5 | 60% | 1.05 | 15.0 |
| Ancient | 3 | 33% | 1.05 | 14.7 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 0–2 | -0.07 | 0% | 19 Aug → | |
| inferno | 3–13 | -0.10 | 8% | 19 Aug → | |
| anubis | 3–7 | -0.01 | 8% | 19 Aug → | |
| mirage | 9–13 | 0.01 | 8% | 19 Aug → | |
| dust2 | 13–11 | 0.02 | 9% | 15 Aug → | |
| inferno | 13–7 | 0.10 | 14% | 15 Aug → | |
| ancient | 13–7 | 0.12 | 17% | 15 Aug → | |
| cache | 13–7 | -0.02 | 3% | 11 Aug → | |
| anubis | 5–13 | -0.04 | 15% | 11 Aug → | |
| mirage | 13–11 | 0.01 | 21% | 11 Aug → | |
| nuke | 13–4 | 0.06 | 29% | 11 Aug → | |
| nuke | 13–6 | -0.06 | 15% | 11 Aug → | |
| cache | 13–6 | -0.02 | 40% | 10 Aug → | |
| mirage | 6–13 | -0.02 | 15% | 10 Aug → | |
| anubis | 13–9 | 0.03 | 19% | 10 Aug → | |
| mirage | 16–14 | 0.07 | 19% | 10 Aug → | |
| anubis | 2–13 | -0.09 | 17% | 9 Aug → | |
| nuke | 7–13 | -0.05 | 22% | 9 Aug → | |
| mirage | 13–6 | 0.07 | 39% | 9 Aug → | |
| nuke | 13–4 | -0.03 | 28% | 9 Aug → | |
| nuke | 8–13 | -0.08 | 17% | 5 Aug → | |
| mirage | 15–19 | -0.02 | 18% | 5 Aug → | |
| anubis | 13–9 | -0.03 | 13% | 5 Aug → | |
| dust2 | 13–3 | 0.01 | 23% | 4 Aug → | |
| nuke | 4–6 | -0.05 | 42% | 4 Aug → | |
| cache | 15–19 | -0.07 | 16% | 3 Aug → | |
| anubis | 0–4 | -0.03 | 22% | 3 Aug → | |
| cache | 10–13 | -0.02 | 19% | 2 Aug → | |
| anubis | 13–11 | -0.01 | 29% | 2 Aug → | |
| cache | 13–11 | 0.01 | 19% | 1 Aug → | |
| nuke | 13–3 | -0.03 | 19% | 1 Aug → | |
| cache | 11–13 | -0.02 | 22% | 31 Jul → | |
| mirage | 13–3 | -0.01 | 50% | 31 Jul → | |
| anubis | 13–10 | -0.00 | 14% | 31 Jul → | |
| mirage | 13–5 | -0.00 | 15% | 30 Jul → | |
| inferno | 13–4 | 0.05 | 24% | 30 Jul → | |
| anubis | 4–13 | 0.00 | 22% | 27 Jul → | |
| mirage | 13–16 | -0.03 | 4% | 21 Jul → | |
| dust2 | 13–5 | -0.00 | 29% | 21 Jul → | |
| inferno | 10–13 | 0.03 | 14% | 20 Jul → | |
| cache | 6–13 | -0.02 | 15% | 20 Jul → | |
| mirage | 5–13 | -0.03 | 38% | 20 Jul → | |
| anubis | 22–18 | -0.01 | 13% | 19 Jul → | |
| inferno | 13–11 | 0.02 | 33% | 18 Jul → | |
| inferno | 13–4 | 0.02 | 22% | 16 Jul → | |
| anubis | 11–13 | -0.00 | 23% | 16 Jul → | |
| mirage | 16–14 | 0.01 | 22% | 15 Jul → | |
| cache | 13–11 | -0.03 | 14% | 15 Jul → | |
| inferno | 9–13 | -0.08 | 10% | 15 Jul → | |
| anubis | 13–4 | 0.03 | 5% | 14 Jul → | |
| cache | 13–7 | 0.09 | 21% | 14 Jul → | |
| anubis | 9–13 | 0.04 | 13% | 13 Jul → | |
| cache | 13–16 | -0.03 | 22% | 13 Jul → | |
| mirage | 14–16 | -0.08 | 32% | 6 Jul → | |
| mirage | 6–13 | -0.04 | 10% | 6 Jul → | |
| mirage | 13–8 | 0.02 | 19% | 4 Jul → | |
| inferno | 13–16 | -0.02 | 36% | 3 Jul → | |
| anubis | 13–9 | 0.04 | 21% | 30 Jun → | |
| overpass | 6–13 | 0.02 | 10% | 30 Jun → | |
| mirage | 16–14 | -0.03 | 14% | 29 Jun → | |
| mirage | 9–13 | -0.05 | 23% | 27 Jun → | |
| mirage | 13–11 | 0.04 | 14% | 27 Jun → | |
| nuke | 11–13 | -0.09 | 11% | 26 Jun → | |
| anubis | 4–13 | -0.05 | 18% | 26 Jun → | |
| mirage | 13–9 | 0.01 | 17% | 26 Jun → | |
| anubis | 13–9 | 0.06 | 13% | 26 Jun → | |
| nuke | 13–9 | 0.04 | 19% | 24 Jun → | |
| cache | 16–13 | 0.07 | 30% | 15 May → | |
| cache | 22–19 | 0.10 | 22% | 14 May → | |
| cache | 10–13 | -0.02 | 26% | 14 May → | |
| dust2 | 10–13 | 0.03 | 18% | 30 Apr → | |
| inferno | 13–6 | 0.07 | 25% | 30 Apr → | |
| anubis | 10–13 | -0.01 | 23% | 25 Apr → | |
| nuke | 16–13 | 0.03 | 13% | 22 Apr → | |
| mirage | 6–13 | -0.03 | 11% | 18 Apr → | |
| overpass | 13–11 | 0.08 | 28% | 17 Apr → | |
| nuke | 13–3 | 0.01 | 10% | 17 Apr → | |
| mirage | 9–13 | -0.01 | 14% | 17 Apr → | |
| inferno | 19–16 | 0.00 | 30% | 15 Apr → | |
| mirage | 7–13 | 0.08 | 19% | 15 Apr → | |
| mirage | 13–11 | -0.00 | 16% | 14 Apr → | |
| anubis | 6–13 | -0.03 | 20% | 14 Apr → | |
| overpass | 14–16 | 0.01 | 29% | 13 Apr → | |
| nuke | 13–10 | 0.07 | 26% | 13 Apr → | |
| dust2 | 13–10 | 0.05 | 24% | 12 Apr → | |
| overpass | 13–3 | 0.01 | 17% | 12 Apr → | |
| anubis | 13–10 | -0.03 | 18% | 11 Apr → | |
| overpass | 13–9 | 0.07 | 21% | 11 Apr → | |
| anubis | 13–4 | 0.03 | 24% | 9 Apr → | |
| mirage | 13–4 | 0.10 | 9% | 7 Apr → | |
| nuke | 13–7 | 0.00 | 40% | 7 Apr → | |
| mirage | 13–8 | -0.00 | 14% | 7 Apr → | |
| mirage | 16–14 | 0.06 | 29% | 2 Apr → | |
| inferno | 13–11 | 0.02 | 8% | 1 Apr → | |
| ancient | 10–13 | -0.03 | 27% | 1 Apr → | |
| overpass | 10–13 | -0.01 | 16% | 1 Apr → | |
| dust2 | 7–13 | -0.02 | 14% | 1 Apr → | |
| mirage | 13–3 | 0.01 | 0% | 31 Mar → | |
| mirage | 3–13 | 0.04 | 19% | 31 Mar → | |
| nuke | 4–13 | -0.11 | 0% | 31 Mar → |
Match data via Leetify.
