alanPan — CS2 Stats
BR76561198323273995[U:1:363008267]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 40.0% | 41.7% | 44.1% | 4.0% short |
| Shot accuracy | 13.3% | 8.8% | 11.4% | above |
| Kill/death ratio | 1.00 | 0.97 | 1.03 | 0.03 short |
| Match win rate | 38.7% | 43.8% | 45.2% | 6.4% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Purple band 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: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 →
CSDB Rating breakdown
Composite 6.2/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 31 | 13–18 | 42% | -0.01 | |
| C | 26 | 10–16 | 38% | 0.02 | |
| S | 13 | 10–3 | 77% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| D | 8 | 2–6 | 25% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsLLWLW
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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.00 | 18% | 30 Aug → | ||
| 13–10 | 0.04 | 19% | 28 Aug → | ||
| 13–11 | 0.03 | 14% | 28 Aug → | ||
| 13–7 | -0.00 | 37% | 27 Aug → | ||
| 11–13 | 0.05 | 22% | 25 Aug → | ||
| 13–8 | 0.03 | 12% | 25 Aug → | ||
| 16–14 | 0.04 | 11% | 24 Aug → | ||
| 2–11 | 0.03 | 18% | 23 Aug → | ||
| 2–6 | -0.01 | 17% | 23 Aug → | ||
| 13–5 | 0.01 | 19% | 23 Aug → | ||
| 7–13 | 0.01 | 23% | 22 Aug → | ||
| 13–3 | 0.07 | 14% | 22 Aug → | ||
| 7–13 | -0.05 | 16% | 22 Aug → | ||
| 5–13 | -0.03 | 12% | 22 Aug → | ||
| 13–3 | 0.07 | 17% | 21 Aug → | ||
| 7–13 | 0.03 | 14% | 20 Aug → | ||
| 13–7 | 0.04 | 10% | 20 Aug → | ||
| 13–3 | 0.14 | 25% | 19 Aug → | ||
| 13–8 | -0.03 | 23% | 19 Aug → | ||
| 13–11 | 0.03 | 17% | 18 Aug → | ||
| 16–14 | 0.02 | 14% | 18 Aug → | ||
| 13–8 | -0.01 | 22% | 18 Aug → | ||
| 13–1 | 0.01 | 17% | 18 Aug → | ||
| 9–13 | 0.08 | 22% | 18 Aug → | ||
| 12–16 | 0.08 | 14% | 15 Aug → | ||
| 8–13 | -0.07 | 6% | 15 Aug → | ||
| 9–13 | -0.06 | 6% | 15 Aug → | ||
| 13–10 | -0.04 | 7% | 15 Aug → | ||
| 9–13 | -0.04 | 6% | 15 Aug → | ||
| 4–13 | -0.02 | 23% | 10 Aug → | ||
| 9–13 | -0.01 | 17% | 10 Aug → | ||
| 13–8 | 0.05 | 28% | 8 Aug → | ||
| 11–13 | -0.00 | 16% | 8 Aug → | ||
| 1–13 | -0.06 | 11% | 8 Aug → | ||
| 13–6 | -0.02 | 18% | 8 Aug → | ||
| 13–4 | 0.02 | 24% | 8 Aug → | ||
| 9–13 | 0.00 | 25% | 8 Aug → | ||
| 13–5 | 0.09 | 22% | 7 Aug → | ||
| 11–13 | -0.02 | 15% | 4 Aug → | ||
| 13–7 | 0.04 | 25% | 3 Aug → | ||
| 9–13 | 0.03 | 19% | 2 Aug → | ||
| 13–16 | 0.08 | 14% | 2 Aug → | ||
| 2–13 | -0.04 | 14% | 1 Aug → | ||
| 9–13 | 0.02 | 23% | 1 Aug → | ||
| 5–13 | 0.07 | 29% | 1 Aug → | ||
| 13–4 | 0.07 | 30% | 1 Aug → | ||
| 7–13 | -0.06 | 16% | 29 Jul → | ||
| 15–15 | 0.11 | 13% | 29 Jul → | ||
| 13–9 | 0.06 | 13% | 27 Jul → | ||
| 9–13 | 0.01 | 17% | 27 Jul → | ||
| 13–5 | 0.02 | 7% | 26 Jul → | ||
| 9–13 | -0.01 | 13% | 25 Jul → | ||
| 10–13 | 0.03 | 21% | 25 Jul → | ||
| 11–13 | 0.02 | 6% | 25 Jul → | ||
| 8–13 | -0.02 | 12% | 23 Jul → | ||
| 13–7 | 0.04 | 15% | 23 Jul → | ||
| 11–13 | 0.05 | 28% | 22 Jul → | ||
| 8–13 | -0.02 | 5% | 22 Jul → | ||
| 13–16 | -0.02 | 12% | 22 Jul → | ||
| 10–13 | -0.00 | 7% | 22 Jul → | ||
| 13–8 | -0.02 | 6% | 21 Jul → | ||
| 13–7 | -0.02 | 20% | 21 Jul → | ||
| 13–8 | -0.01 | 15% | 21 Jul → | ||
| 12–16 | 0.04 | 20% | 18 Jul → | ||
| 9–13 | 0.04 | 17% | 18 Jul → | ||
| 13–7 | 0.06 | 19% | 18 Jul → | ||
| 13–9 | -0.01 | 17% | 18 Jul → | ||
| 10–13 | -0.05 | 14% | 18 Jul → | ||
| 13–7 | 0.03 | 17% | 18 Jul → | ||
| 10–13 | 0.02 | 14% | 18 Jul → | ||
| 13–4 | 0.05 | 24% | 18 Jul → | ||
| 13–7 | -0.06 | 19% | 17 Jul → | ||
| 13–8 | 0.08 | 13% | 16 Jul → | ||
| 10–13 | -0.02 | 15% | 16 Jul → | ||
| 13–5 | 0.02 | 14% | 13 Jul → | ||
| 13–11 | 0.02 | 8% | 13 Jul → | ||
| 13–16 | -0.07 | 14% | 12 Jul → | ||
| 11–13 | 0.02 | 12% | 12 Jul → | ||
| 7–13 | -0.04 | 16% | 10 Jul → | ||
| 5–13 | 0.01 | 28% | 10 Jul → | ||
| 13–11 | 0.10 | 24% | 10 Jul → | ||
| 13–10 | 0.07 | 16% | 10 Jul → | ||
| 5–13 | -0.04 | 16% | 10 Jul → | ||
| 13–7 | 0.09 | 29% | 6 Jul → | ||
| 5–13 | -0.06 | 17% | 6 Jul → | ||
| 11–13 | -0.05 | 15% | 5 Jul → | ||
| 11–13 | -0.05 | 18% | 5 Jul → | ||
| 6–13 | 0.03 | 15% | 4 Jul → | ||
| 13–5 | 0.06 | 6% | 3 Jul → | ||
| 16–13 | 0.05 | 23% | 1 Jul → | ||
| 13–7 | 0.01 | 15% | 1 Jul → | ||
| 13–6 | 0.02 | 8% | 1 Jul → | ||
| 5–13 | -0.03 | 14% | 1 Jul → | ||
| 13–10 | 0.01 | 18% | 1 Jul → | ||
| 10–13 | -0.02 | 17% | 1 Jul → | ||
| 13–11 | -0.07 | 3% | 1 Jul → | ||
| 5–13 | -0.09 | 19% | 1 Jul → | ||
| 7–13 | 0.05 | 22% | 30 Jun → | ||
| 13–3 | 0.01 | 18% | 30 Jun → | ||
| 7–13 | -0.04 | 14% | 27 Jun → |
Match data via Leetify.