유림 Aisha — CS2 Stats
76561198364105039[U:1:403839311]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 38.9% | 42.5% | 44.2% | 5.3% short |
| Shot accuracy | 13.7% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.79 | 0.99 | 1.04 | 0.25 short |
| Match win rate | 41.0% | 44.2% | 45.3% | 4.3% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
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 72% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower 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
Areas to improve
Reaction time. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 29 | 13–16 | 45% | -0.04 | |
| D | 28 | 9–19 | 32% | -0.02 | |
| B | 13 | 7–6 | 54% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.79 | 11.0 |
| Train | 1 | 100% | 2.44 | 22.0 |
| Ancient | 1 | 100% | 0.68 | 15.0 |
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
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1054° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.0882% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3539 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.09 | 18% | 19 Aug → | ||
| 11–13 | -0.04 | 7% | 13 Aug → | ||
| 13–9 | -0.02 | 9% | 9 Aug → | ||
| 12–12 | -0.04 | 7% | 9 Aug → | ||
| 13–2 | -0.05 | 6% | 9 Aug → | ||
| 13–7 | 0.00 | 13% | 9 Aug → | ||
| 1–13 | -0.07 | 5% | 9 Aug → | ||
| 15–15 | -0.04 | 13% | 29 Jul → | ||
| 15–15 | -0.04 | 3% | 29 Jul → | ||
| 8–0 | -0.12 | 7% | 29 Jul → | ||
| 13–3 | 0.07 | 8% | 27 Jul → | ||
| 13–8 | 0.03 | 9% | 27 Jul → | ||
| 0–13 | -0.08 | 0% | 27 Jul → | ||
| 13–9 | -0.04 | 14% | 27 Jul → | ||
| 6–13 | 0.12 | 4% | 26 Jul → | ||
| 13–11 | -0.03 | 16% | 21 Jul → | ||
| 13–10 | -0.03 | 14% | 14 Jul → | ||
| 5–13 | -0.02 | 29% | 14 Jul → | ||
| 10–13 | -0.03 | 17% | 14 Jul → | ||
| 11–13 | -0.09 | 7% | 8 Jul → | ||
| 13–7 | 0.01 | 7% | 8 Jul → | ||
| 4–13 | -0.06 | 15% | 8 Jul → | ||
| 9–13 | -0.07 | 6% | 7 Jul → | ||
| 8–13 | -0.08 | 6% | 7 Jul → | ||
| 9–3 | -0.07 | 12% | 26 Jun → | ||
| 3–13 | -0.01 | 10% | 17 May → | ||
| 13–4 | -0.01 | 7% | 17 May → | ||
| 12–12 | -0.02 | 10% | 17 May → | ||
| 13–8 | -0.04 | 3% | 17 May → | ||
| 13–6 | -0.02 | 9% | 17 May → | ||
| 13–4 | 0.03 | 19% | 17 May → | ||
| 13–7 | -0.09 | 19% | 17 May → | ||
| 13–6 | 0.03 | 20% | 13 May → | ||
| 12–12 | -0.08 | 14% | 13 May → | ||
| 8–13 | -0.01 | 11% | 9 May → | ||
| 12–12 | -0.07 | 12% | 9 May → | ||
| 4–13 | -0.02 | 33% | 9 May → | ||
| 9–13 | -0.05 | 10% | 9 May → | ||
| 6–13 | -0.09 | 18% | 6 May → | ||
| 2–13 | -0.07 | 14% | 6 May → | ||
| 12–12 | 0.01 | 24% | 6 May → | ||
| 13–9 | -0.11 | 7% | 5 May → | ||
| 6–13 | -0.06 | 16% | 5 May → | ||
| 6–13 | -0.12 | 23% | 1 May → | ||
| 9–13 | -0.04 | 15% | 1 May → | ||
| 11–13 | -0.05 | 3% | 1 May → | ||
| 13–8 | 0.05 | 23% | 1 May → | ||
| 3–13 | -0.02 | 2% | 30 Apr → | ||
| 4–13 | -0.06 | 13% | 29 Apr → | ||
| 13–6 | 0.02 | 16% | 29 Apr → | ||
| 10–13 | 0.04 | 16% | 27 Apr → | ||
| 11–13 | -0.08 | 11% | 23 Apr → | ||
| 8–13 | -0.08 | 6% | 23 Apr → | ||
| 5–13 | 0.01 | 15% | 22 Apr → | ||
| 13–6 | -0.06 | 13% | 22 Apr → | ||
| 13–6 | -0.08 | 12% | 21 Apr → | ||
| 13–6 | -0.04 | 8% | 21 Apr → | ||
| 13–6 | -0.01 | 14% | 21 Apr → | ||
| 13–8 | -0.06 | 12% | 21 Apr → | ||
| 13–11 | -0.04 | 16% | 19 Apr → | ||
| 4–13 | -0.00 | 12% | 18 Apr → | ||
| 13–5 | 0.06 | 22% | 17 Apr → | ||
| 13–6 | 0.04 | 8% | 17 Apr → | ||
| 8–13 | -0.04 | 20% | 16 Apr → | ||
| 13–11 | -0.05 | 5% | 16 Apr → | ||
| 13–8 | -0.07 | 15% | 15 Apr → | ||
| 10–13 | -0.03 | 24% | 11 Apr → | ||
| 13–5 | 0.01 | 9% | 11 Apr → | ||
| 13–11 | 0.03 | 2% | 11 Apr → | ||
| 9–13 | -0.05 | 13% | 7 Apr → | ||
| 7–13 | 0.02 | 12% | 4 Apr → | ||
| 13–5 | 0.02 | 12% | 4 Apr → | ||
| 13–10 | 0.05 | 14% | 3 Apr → | ||
| 13–2 | 0.10 | 19% | 2 Apr → | ||
| 4–13 | -0.02 | 35% | 27 Mar → | ||
| 5–13 | -0.06 | 15% | 27 Mar → | ||
| 3–13 | -0.08 | 17% | 27 Mar → | ||
| 4–13 | -0.10 | 7% | 27 Mar → | ||
| 5–13 | -0.04 | 17% | 26 Mar → | ||
| 13–6 | 0.02 | 19% | 26 Mar → | ||
| 13–4 | -0.07 | 11% | 26 Mar → | ||
| 11–13 | -0.08 | 8% | 25 Mar → | ||
| 7–13 | -0.05 | 13% | 19 Mar → | ||
| 5–13 | -0.05 | 8% | 19 Mar → | ||
| 13–11 | -0.05 | 14% | 19 Mar → | ||
| 8–13 | 0.00 | 11% | 17 Mar → | ||
| 13–11 | -0.04 | 6% | 17 Mar → | ||
| 13–9 | 0.08 | 9% | 13 Mar → | ||
| 2–11 | 0.01 | 14% | 13 Mar → | ||
| 7–13 | 0.02 | 8% | 13 Mar → | ||
| 8–13 | -0.05 | 6% | 13 Mar → | ||
| 12–12 | 0.06 | 11% | 5 Mar → | ||
| 11–13 | -0.03 | 13% | 5 Mar → | ||
| 10–13 | 0.05 | 21% | 5 Mar → | ||
| 13–16 | -0.03 | 13% | 5 Mar → | ||
| 8–13 | -0.06 | 3% | 28 Feb → | ||
| 16–12 | -0.07 | 5% | 28 Feb → | ||
| 13–7 | -0.02 | 15% | 28 Feb → | ||
| 11–13 | 0.04 | 9% | 26 Feb → | ||
| 11–13 | 0.00 | 9% | 26 Feb → |
Match data via Leetify.
Recent teammates
- 18Player 64971844 recent matches together
- 70Player 24217011 recent matches together
- 98Player 02909821 recent matches together
- 93Player 62389316 recent matches together
- 15Player 71701510 recent matches together
- 17Player 06051714 recent matches together
- 35Player 11683525 recent matches together
- 76Player 74787610 recent matches together