yAnn — CS2 Stats
76561198032099154[U:1:71833426]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 47.1% | 47.2% | 49.9% | 2.9% short |
| Shot accuracy | 18.0% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.16 | 1.09 | 1.12 | above |
| Match win rate | 49.0% | 46.6% | 48.4% | meets |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Red 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: +40pp win rate · +0.05 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 92% 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
Areas to improve
Positioning. Positioning trails aim by 35 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 5.9/10 (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 |
|---|---|---|---|---|---|
| B | 31 | 15–16 | 48% | 0.01 | |
| A | 19 | 11–8 | 58% | 0.01 | |
| S | 16 | 11–5 | 69% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| S | 9 | 7–2 | 78% | 0.01 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (48% over 31). Start with the 6 essential Inferno 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 40 | 42% | 1.01 | 14.9 |
| Anubis | 37 | 57% | 1.03 | 14.6 |
| Ancient | 22 | 55% | 1.00 | 15.3 |
| Nuke | 15 | 47% | 0.78 | 11.9 |
| Mirage | 14 | 57% | 1.07 | 13.6 |
| Vertigo | 12 | 58% | 1.07 | 16.4 |
| Overpass | 5 | 100% | 1.33 | 14.0 |
| Cache | 4 | 75% | 0.73 | 13.8 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.6841% — below the 40% mark we flag
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 31 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% | 16 Aug → | ||
| 13–2 | 0.16 | 24% | 13 Aug → | ||
| 6–13 | -0.06 | 26% | 13 Aug → | ||
| 13–3 | 0.05 | 19% | 12 Aug → | ||
| 13–5 | 0.11 | 29% | 9 Aug → | ||
| 7–7 | 0.03 | 21% | 9 Aug → | ||
| 10–7 | 0.08 | 26% | 8 Aug → | ||
| 13–8 | 0.04 | 17% | 6 Aug → | ||
| 13–7 | 0.03 | 16% | 6 Aug → | ||
| 9–13 | -0.05 | 17% | 6 Aug → | ||
| 7–13 | -0.04 | 26% | 6 Aug → | ||
| 7–13 | 0.04 | 16% | 5 Aug → | ||
| 8–13 | -0.01 | 7% | 5 Aug → | ||
| 4–13 | -0.03 | 13% | 2 Aug → | ||
| 13–5 | -0.03 | 13% | 2 Aug → | ||
| 5–13 | -0.02 | 16% | 2 Aug → | ||
| 13–8 | -0.00 | 9% | 2 Aug → | ||
| 8–13 | -0.03 | 7% | 2 Aug → | ||
| 13–9 | -0.07 | 9% | 2 Aug → | ||
| 11–13 | 0.06 | 16% | 29 Jul → | ||
| 9–13 | -0.07 | 24% | 29 Jul → | ||
| 13–3 | -0.01 | 31% | 29 Jul → | ||
| 11–13 | 0.06 | 16% | 29 Jul → | ||
| 7–13 | 0.08 | 17% | 29 Jul → | ||
| 9–13 | -0.02 | 22% | 28 Jul → | ||
| 6–13 | -0.10 | 9% | 28 Jul → | ||
| 15–15 | -0.02 | 13% | 27 Jul → | ||
| 13–7 | 0.02 | 21% | 27 Jul → | ||
| 3–13 | 0.00 | 21% | 27 Jul → | ||
| 3–13 | -0.07 | 7% | 27 Jul → | ||
| 13–11 | -0.03 | 21% | 27 Jul → | ||
| 13–6 | 0.01 | 19% | 27 Jul → | ||
| 8–2 | 0.00 | 30% | 26 Jul → | ||
| 7–13 | -0.02 | 12% | 26 Jul → | ||
| 13–4 | 0.02 | 24% | 26 Jul → | ||
| 13–8 | 0.08 | 14% | 23 Jul → | ||
| 13–4 | 0.15 | 24% | 23 Jul → | ||
| 13–7 | -0.01 | 9% | 23 Jul → | ||
| 13–9 | -0.01 | 20% | 22 Jul → | ||
| 13–9 | -0.03 | 14% | 22 Jul → | ||
| 13–10 | 0.01 | 17% | 22 Jul → | ||
| 13–16 | -0.05 | 15% | 22 Jul → | ||
| 13–2 | 0.15 | 27% | 22 Jul → | ||
| 13–2 | 0.00 | 0% | 21 Jul → | ||
| 11–13 | 0.01 | 11% | 21 Jul → | ||
| 9–13 | 0.01 | 17% | 20 Jul → | ||
| 13–7 | 0.08 | 21% | 16 Jul → | ||
| 5–13 | 0.04 | 16% | 15 Jul → | ||
| 14–16 | 0.07 | 16% | 15 Jul → | ||
| 13–7 | -0.02 | 21% | 15 Jul → | ||
| 3–13 | 0.06 | 17% | 12 Jul → | ||
| 13–6 | 0.00 | 12% | 12 Jul → | ||
| 16–13 | 0.00 | 15% | 2 Jul → | ||
| 13–11 | -0.02 | 16% | 25 Jun → | ||
| 13–5 | -0.04 | 13% | 23 Jun → | ||
| 13–9 | 0.04 | 17% | 22 Jun → | ||
| 8–13 | -0.05 | 13% | 18 Jun → | ||
| 13–10 | 0.01 | 10% | 15 Jun → | ||
| 13–7 | 0.07 | 11% | 9 Jun → | ||
| 13–6 | 0.03 | 27% | 8 Jun → | ||
| 13–11 | 0.06 | 11% | 8 Jun → | ||
| 13–8 | -0.10 | 27% | 8 Jun → | ||
| 13–6 | 0.03 | 9% | 8 Jun → | ||
| 7–13 | -0.06 | 14% | 7 Jun → | ||
| 13–5 | -0.05 | 11% | 7 Jun → | ||
| 11–13 | 0.05 | 10% | 7 Jun → | ||
| 7–13 | -0.01 | 25% | 7 Jun → | ||
| 8–13 | -0.02 | 13% | 20 May → | ||
| 8–13 | -0.08 | 27% | 17 May → | ||
| 16–14 | -0.01 | 18% | 10 May → | ||
| 14–16 | 0.02 | 16% | 4 Apr → | ||
| 13–10 | 0.01 | 25% | 31 Mar → | ||
| 13–4 | 0.06 | 12% | 31 Mar → | ||
| 13–7 | 0.01 | 24% | 31 Mar → | ||
| 5–13 | -0.01 | 13% | 30 Mar → | ||
| 9–13 | 0.03 | 28% | 30 Mar → | ||
| 1–13 | -0.03 | 12% | 30 Mar → | ||
| 13–8 | 0.02 | 27% | 30 Mar → | ||
| 4–13 | -0.08 | 11% | 29 Mar → | ||
| 0–2 | -0.09 | 0% | 29 Mar → | ||
| 13–11 | 0.01 | 10% | 29 Mar → | ||
| 13–8 | 0.03 | 10% | 29 Mar → | ||
| 13–9 | 0.02 | 21% | 29 Mar → | ||
| 13–10 | 0.02 | 11% | 29 Mar → | ||
| 13–2 | 0.12 | 19% | 28 Mar → | ||
| 13–8 | -0.02 | 13% | 28 Mar → | ||
| 13–10 | -0.05 | 12% | 28 Mar → | ||
| 11–13 | -0.04 | 11% | 24 Mar → | ||
| 13–8 | 0.02 | 16% | 24 Mar → | ||
| 13–10 | 0.06 | 24% | 23 Mar → | ||
| 9–13 | -0.07 | 14% | 21 Mar → | ||
| 13–8 | -0.02 | 26% | 21 Mar → | ||
| 13–9 | 0.03 | 21% | 21 Mar → | ||
| 2–4 | -0.06 | 22% | 21 Mar → | ||
| 13–9 | 0.05 | 4% | 21 Mar → | ||
| 16–14 | 0.01 | 28% | 9 Mar → | ||
| 13–10 | 0.03 | 11% | 9 Mar → | ||
| 5–13 | 0.05 | 31% | 2 Feb → | ||
| 6–13 | -0.05 | 14% | 2 Feb → | ||
| 13–9 | -0.00 | 17% | 2 Feb → |
Match data via Leetify.