Y1sares — CS2 Stats
76561198353760830[U:1:393495102]
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 38.3% | 44.7% | 46.1% | 7.8% short |
| Shot accuracy | 18.0% | 11.9% | 12.6% | above |
| Kill/death ratio | 1.06 | 1.04 | 1.05 | meets |
| Match win rate | 41.3% | 45.2% | 45.7% | 4.4% short |
This profile matches the typical Level 7 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 7 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: +20pp win rate · -0.02 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 jL 94% 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
Reaction time. 561ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 41 | 26–15 | 63% | 0.03 | |
| B | 12 | 6–6 | 50% | -0.00 | |
| B | 10 | 5–5 | 50% | 0.06 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| basalt | — | 2 | 2–0 | 100% | 0.10 |
| mills | — | 1 | 0–1 | 0% | -0.08 |
| insertion2 | — | 1 | 1–0 | 100% | 0.20 |
| agency | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 7). 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.
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.13 | 18% | 6 Jul → | ||
| 9–13 | -0.04 | 18% | 6 Jul → | ||
| 16–14 | 0.06 | 23% | 6 Jul → | ||
| 13–9 | 0.01 | 21% | 6 Jul → | ||
| 6–13 | 0.00 | 20% | 6 Jul → | ||
| 13–6 | 0.02 | 33% | 6 Jul → | ||
| 13–4 | 0.03 | 12% | 6 Jul → | ||
| 13–4 | 0.16 | 17% | 11 Jun → | ||
| 13–6 | 0.06 | 36% | 11 Jun → | ||
| 1–13 | -0.01 | 18% | 11 Jun → | ||
| 13–2 | 0.17 | 17% | 9 Jun → | ||
| 10–13 | 0.01 | 29% | 9 Jun → | ||
| 13–9 | 0.05 | 23% | 9 Jun → | ||
| 13–7 | -0.03 | 27% | 9 Jun → | ||
| 11–13 | 0.08 | 18% | 7 Jun → | ||
| 5–13 | 0.05 | 29% | 7 Jun → | ||
| 9–13 | 0.00 | 25% | 29 May → | ||
| 13–2 | 0.07 | 26% | 29 May → | ||
| 13–3 | 0.15 | 17% | 29 May → | ||
| 11–13 | 0.03 | 24% | 21 May → | ||
| 13–9 | -0.03 | 15% | 21 May → | ||
| 13–8 | 0.00 | 17% | 21 May → | ||
| 13–6 | 0.08 | 17% | 21 May → | ||
| 13–4 | 0.14 | 14% | 13 May → | ||
| 15–15 | 0.02 | 19% | 13 May → | ||
| 3–13 | 0.01 | 21% | 13 May → | ||
| 13–5 | 0.10 | 24% | 11 May → | ||
| 7–13 | 0.10 | 17% | 11 May → | ||
| 15–15 | 0.02 | 15% | 11 May → | ||
| 7–13 | 0.02 | 20% | 7 May → | ||
| 13–3 | 0.17 | 27% | 7 May → | ||
| 13–7 | 0.02 | 18% | 7 May → | ||
| 13–9 | 0.07 | 18% | 7 May → | ||
| 13–7 | 0.02 | 16% | 6 May → | ||
| 16–12 | 0.08 | 18% | 6 May → | ||
| 8–13 | 0.07 | 25% | 6 May → | ||
| 5–13 | 0.00 | 17% | 3 May → | ||
| 13–5 | 0.11 | 27% | 3 May → | ||
| 5–13 | 0.05 | 22% | 3 May → | ||
| 6–13 | 0.07 | 14% | 3 May → | ||
| 7–13 | 0.06 | 15% | 3 May → | ||
| 13–4 | -0.00 | 24% | 3 May → | ||
| 13–11 | 0.06 | 16% | 1 May → | ||
| 4–13 | -0.03 | 17% | 1 May → | ||
| 13–1 | 0.10 | 14% | 25 Apr → | ||
| 13–9 | 0.11 | 31% | 25 Apr → | ||
| 13–3 | 0.06 | 22% | 25 Apr → | ||
| 10–13 | 0.02 | 27% | 25 Apr → | ||
| 13–3 | 0.10 | 20% | 25 Apr → | ||
| mills | 3–13 | -0.08 | 10% | 18 Aug → | |
| 3–13 | -0.11 | 9% | 18 Aug → | ||
| 13–9 | -0.06 | 11% | 18 Aug → | ||
| 13–3 | 0.08 | 16% | 18 Aug → | ||
| 11–13 | 0.07 | 25% | 18 May → | ||
| 6–13 | -0.07 | 7% | 14 May → | ||
| 13–1 | 0.02 | 13% | 7 May → | ||
| 13–7 | 0.04 | 14% | 7 May → | ||
| 12–12 | 0.01 | 5% | 7 May → | ||
| 0–1 | 0.00 | 0% | 17 Dec → | ||
| 13–3 | -0.03 | 12% | 19 Nov → | ||
| 9–0 | 0.00 | 5% | 15 Jul → | ||
| 14–16 | 0.01 | 12% | 15 Jul → | ||
| 16–10 | -0.03 | 21% | 4 Jul → | ||
| 15–15 | -0.05 | 14% | 4 Jul → | ||
| 9–2 | -0.05 | 23% | 4 Jul → | ||
| 16–8 | -0.03 | 14% | 20 May → | ||
| 6–16 | -0.04 | 17% | 4 Apr → | ||
| 9–16 | -0.04 | 13% | 12 Jan → | ||
| 11–16 | -0.06 | 10% | 18 Oct → | ||
| 9–16 | -0.04 | 11% | 18 Oct → | ||
| 4–9 | -0.05 | 31% | 31 Jan → | ||
| 7–9 | -0.02 | 20% | 30 Jan → | ||
| 8–8 | -0.03 | 15% | 30 Jan → | ||
| 4–9 | -0.08 | 24% | 26 Jan → | ||
| 9–7 | 0.02 | 30% | 26 Jan → | ||
| 9–5 | -0.05 | 28% | 25 Jan → | ||
| 1–16 | -0.10 | 13% | 24 Jan → | ||
| 9–3 | 0.09 | 9% | 24 Jan → | ||
| 12–16 | -0.03 | 16% | 29 Dec → | ||
| 4–9 | -0.08 | 15% | 24 Dec → | ||
| insertion2 | 9–3 | 0.20 | 13% | 19 Dec → | |
| 16–14 | -0.03 | 14% | 16 Dec → | ||
| 14–16 | -0.03 | 14% | 16 Dec → | ||
| 16–3 | 0.03 | 11% | 16 Dec → | ||
| 16–4 | 0.05 | 21% | 16 Dec → | ||
| 3–16 | -0.06 | 15% | 16 Dec → | ||
| 9–1 | 0.01 | 9% | 22 Oct → | ||
| 19–17 | -0.02 | 20% | 12 Oct → | ||
| basalt | 9–2 | 0.16 | 13% | 30 Sept → | |
| 9–2 | 0.05 | 23% | 24 Sept → | ||
| agency | 8–8 | 0.03 | 23% | 24 Sept → | |
| 16–10 | -0.00 | 12% | 24 Sept → | ||
| basalt | 16–4 | 0.04 | 12% | 24 Sept → | |
| 9–3 | 0.08 | 20% | 22 Sept → | ||
| 9–16 | -0.07 | 11% | 8 Sept → | ||
| 5–16 | -0.03 | 21% | 8 Sept → | ||
| 16–5 | 0.00 | 16% | 28 Jul → | ||
| 16–9 | 0.00 | 16% | 25 Jul → | ||
| 11–16 | 0.00 | 18% | 24 Jun → | ||
| 16–8 | 0.00 | 23% | 23 Jun → |
Match data via Leetify.