yashare — CS2 Stats
76561198209681109[U:1:249415381]
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 | 49.4% | 47.2% | 49.0% | meets |
| Shot accuracy | 10.9% | 12.3% | 13.1% | 2.2% short |
| Kill/death ratio | 1.17 | 1.07 | 1.08 | above |
| Match win rate | 47.4% | 46.3% | 46.9% | meets |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: +0pp win rate · -0.00 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 sh1ro 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
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. 626ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
| A | 32 | 18–14 | 56% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.03 | |
| C | 18 | 7–11 | 39% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| C | 11 | 4–7 | 36% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 304 | 52% | 1.22 | 18.1 |
| Dust2 | 228 | 49% | 1.19 | 18.7 |
| Ancient | 168 | 48% | 1.13 | 17.3 |
| Nuke | 149 | 65% | 1.31 | 19.7 |
| Inferno | 104 | 44% | 1.18 | 17.7 |
| Anubis | 65 | 32% | 0.96 | 15.7 |
| Train | 31 | 45% | 1.26 | 19.6 |
| Overpass | 22 | 55% | 1.33 | 19.4 |
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.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.06 | 35% | 29 Aug → | ||
| 6–13 | -0.01 | 30% | 26 Aug → | ||
| 13–3 | 0.05 | 28% | 18 Aug → | ||
| 16–14 | 0.04 | 30% | 29 Jul → | ||
| 9–13 | 0.03 | 35% | 27 Jul → | ||
| 13–11 | -0.04 | 19% | 13 Jul → | ||
| 13–10 | 0.03 | 19% | 10 Jul → | ||
| 11–13 | 0.14 | 24% | 9 Jul → | ||
| 9–13 | -0.07 | 15% | 27 Jun → | ||
| 13–11 | -0.11 | 0% | 14 Jun → | ||
| 16–12 | 0.09 | 26% | 12 Jun → | ||
| 13–7 | 0.06 | 39% | 30 May → | ||
| 11–13 | 0.07 | 20% | 28 May → | ||
| 13–4 | -0.07 | 9% | 11 Feb → | ||
| 13–8 | 0.05 | 23% | 7 Jan → | ||
| 13–6 | -0.05 | 36% | 7 Jan → | ||
| 10–13 | -0.01 | 26% | 31 Dec → | ||
| 10–13 | -0.01 | 18% | 29 Dec → | ||
| 13–5 | 0.03 | 24% | 19 Dec → | ||
| 11–13 | -0.04 | 22% | 5 Nov → | ||
| 20–22 | 0.01 | 27% | 4 Nov → | ||
| 5–13 | -0.03 | 18% | 2 Nov → | ||
| 12–16 | -0.02 | 32% | 27 Oct → | ||
| 10–13 | 0.01 | 29% | 19 Oct → | ||
| 13–8 | -0.00 | 24% | 20 Sept → | ||
| 11–13 | -0.01 | 35% | 13 Sept → | ||
| 13–10 | -0.01 | 26% | 15 Aug → | ||
| 6–13 | 0.00 | 20% | 27 Jul → | ||
| 13–7 | 0.07 | 35% | 9 Jul → | ||
| 19–16 | -0.01 | 19% | 1 Jul → | ||
| 13–6 | -0.03 | 33% | 28 Jun → | ||
| 7–13 | 0.03 | 41% | 23 Jun → | ||
| 6–13 | -0.06 | 11% | 16 Jun → | ||
| 13–9 | -0.02 | 20% | 25 May → | ||
| 4–13 | -0.08 | 26% | 22 Mar → | ||
| 13–10 | 0.06 | 45% | 22 Mar → | ||
| 15–15 | 0.00 | 33% | 20 Dec → | ||
| 4–13 | -0.02 | 17% | 20 Dec → | ||
| 13–9 | 0.06 | 37% | 29 Nov → | ||
| 13–6 | -0.01 | 29% | 29 Nov → | ||
| 8–13 | 0.00 | 15% | 24 Nov → | ||
| 10–13 | 0.02 | 32% | 24 Nov → | ||
| 7–13 | -0.01 | 35% | 20 Nov → | ||
| 1–13 | -0.05 | 36% | 18 Nov → | ||
| 1–13 | -0.00 | 20% | 15 Nov → | ||
| 13–16 | 0.09 | 38% | 15 Nov → | ||
| 13–5 | 0.03 | 29% | 13 Nov → | ||
| 13–2 | 0.17 | 34% | 12 Nov → | ||
| 13–9 | 0.03 | 29% | 12 Nov → | ||
| 10–13 | -0.00 | 26% | 11 Nov → | ||
| 7–13 | -0.01 | 33% | 2 Nov → | ||
| 11–13 | -0.03 | 20% | 1 Nov → | ||
| 13–5 | 0.00 | 14% | 28 Oct → | ||
| 5–13 | 0.00 | 21% | 26 Oct → | ||
| 11–13 | 0.03 | 31% | 26 Oct → | ||
| 13–11 | 0.06 | 33% | 25 Oct → | ||
| 13–8 | 0.02 | 27% | 24 Oct → | ||
| 9–13 | 0.00 | 19% | 23 Oct → | ||
| 5–13 | 0.03 | 46% | 23 Oct → | ||
| 6–13 | 0.04 | 34% | 23 Oct → | ||
| 9–13 | 0.07 | 31% | 18 Oct → | ||
| 5–13 | -0.04 | 35% | 9 Oct → | ||
| 9–13 | -0.00 | 56% | 8 Oct → | ||
| 13–5 | 0.02 | 24% | 2 Oct → | ||
| 13–8 | 0.05 | 29% | 1 Oct → | ||
| 8–13 | 0.06 | 26% | 1 Oct → | ||
| 4–13 | -0.06 | 50% | 27 Sept → | ||
| 13–6 | 0.03 | 29% | 23 Sept → | ||
| 13–5 | 0.17 | 37% | 23 Sept → | ||
| 3–13 | -0.04 | 19% | 22 Sept → | ||
| 13–10 | 0.08 | 40% | 22 Sept → | ||
| 13–9 | 0.06 | 20% | 16 Sept → | ||
| 13–10 | 0.06 | 28% | 15 Sept → | ||
| 11–13 | 0.06 | 27% | 15 Sept → | ||
| 13–10 | 0.04 | 19% | 15 Sept → | ||
| 11–13 | -0.05 | 24% | 13 Sept → | ||
| 13–4 | 0.07 | 30% | 12 Sept → | ||
| 13–5 | 0.07 | 38% | 11 Sept → | ||
| 7–13 | 0.07 | 33% | 11 Sept → | ||
| 8–13 | -0.04 | 45% | 10 Sept → | ||
| 13–4 | 0.14 | 27% | 10 Sept → | ||
| 15–15 | 0.04 | 36% | 10 Sept → | ||
| 10–13 | -0.01 | 28% | 9 Sept → | ||
| 8–13 | -0.04 | 26% | 9 Sept → | ||
| 16–13 | -0.02 | 30% | 4 Sept → | ||
| 15–15 | -0.04 | 21% | 4 Sept → | ||
| 13–3 | 0.04 | 29% | 3 Sept → | ||
| 10–13 | 0.03 | 14% | 3 Sept → | ||
| 10–13 | -0.02 | 26% | 3 Sept → | ||
| 4–13 | 0.00 | 30% | 3 Sept → | ||
| 1–13 | -0.11 | 11% | 2 Sept → | ||
| 15–15 | -0.01 | 11% | 2 Sept → | ||
| 13–9 | 0.01 | 19% | 2 Sept → | ||
| 13–8 | 0.18 | 21% | 2 Sept → | ||
| 13–9 | -0.06 | 25% | 1 Sept → | ||
| 13–9 | 0.01 | 31% | 1 Sept → | ||
| 13–10 | -0.07 | 21% | 31 Aug → | ||
| 13–3 | 0.06 | 24% | 30 Aug → | ||
| 8–13 | -0.06 | 21% | 30 Aug → | ||
| 13–3 | 0.12 | 24% | 30 Aug → |
Match data via Leetify.