Zynachino — CS2 Stats
US76561199047795706[U:1:1087529978]Steam profile ↗
Rating over time
Premier CS Rating
- 366 below peak (16,880)
- Next: Pink band at 20,000 — 3,486 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 43.5% | 44.1% | 47.2% | 3.7% short |
| Shot accuracy | 4.9% | 11.4% | 12.7% | 7.8% short |
| Kill/death ratio | 1.15 | 1.03 | 1.09 | above |
| Match win rate | 44.4% | 45.2% | 46.6% | 2.2% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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 · +0.03 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: opening-duel success, opening-fight frequency.
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 →
Strengths & areas to improve
Areas to improve
Reaction time. 571ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 20 | 10–10 | 50% | 0.04 | |
| S | 20 | 14–6 | 70% | 0.06 | |
| B | 20 | 10–10 | 50% | 0.06 | |
| B | 14 | 7–7 | 50% | 0.07 | |
| B | 12 | 6–6 | 50% | 0.03 | |
| C | 8 | 3–5 | 38% | 0.06 | |
| B | 6 | 3–3 | 50% | 0.06 |
Across the last 100 tracked matches.
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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 80% | 1.63 | 17.4 |
| Mirage | 4 | 25% | 1.06 | 14.3 |
| Ancient | 1 | 100% | 0.78 | 7.0 |
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.
- 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 14.5068% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.01 | 4% | 29 Aug → | ||
| 10–13 | 0.03 | 19% | 28 Aug → | ||
| 13–1 | 0.09 | 20% | 28 Aug → | ||
| 13–3 | 0.20 | 13% | 28 Aug → | ||
| 13–9 | 0.06 | 11% | 28 Aug → | ||
| 13–9 | 0.06 | 13% | 28 Aug → | ||
| 13–11 | 0.04 | 11% | 27 Aug → | ||
| 9–13 | 0.06 | 16% | 27 Aug → | ||
| 13–10 | 0.15 | 17% | 27 Aug → | ||
| 4–13 | -0.01 | 16% | 27 Aug → | ||
| 9–13 | 0.07 | 21% | 26 Aug → | ||
| 13–8 | 0.08 | 14% | 26 Aug → | ||
| 13–10 | 0.01 | 15% | 26 Aug → | ||
| 13–10 | 0.05 | 17% | 26 Aug → | ||
| 13–10 | 0.02 | 14% | 26 Aug → | ||
| 3–13 | -0.02 | 14% | 26 Aug → | ||
| 6–13 | 0.06 | 16% | 25 Aug → | ||
| 13–10 | 0.07 | 15% | 25 Aug → | ||
| 13–4 | 0.01 | 21% | 25 Aug → | ||
| 16–14 | 0.04 | 15% | 25 Aug → | ||
| 10–13 | 0.06 | 14% | 25 Aug → | ||
| 13–11 | 0.08 | 12% | 25 Aug → | ||
| 13–4 | 0.07 | 14% | 25 Aug → | ||
| 13–10 | 0.00 | 11% | 25 Aug → | ||
| 9–13 | 0.04 | 14% | 24 Aug → | ||
| 11–13 | 0.03 | 7% | 24 Aug → | ||
| 11–13 | 0.01 | 11% | 24 Aug → | ||
| 13–3 | 0.08 | 15% | 24 Aug → | ||
| 16–14 | 0.09 | 22% | 24 Aug → | ||
| 13–8 | 0.03 | 10% | 24 Aug → | ||
| 13–3 | 0.13 | 5% | 24 Aug → | ||
| 13–3 | 0.10 | 11% | 24 Aug → | ||
| 13–8 | 0.09 | 18% | 23 Aug → | ||
| 13–5 | 0.13 | 19% | 23 Aug → | ||
| 15–15 | 0.01 | 14% | 23 Aug → | ||
| 13–6 | 0.03 | 11% | 23 Aug → | ||
| 12–16 | 0.00 | 6% | 23 Aug → | ||
| 10–13 | 0.01 | 22% | 23 Aug → | ||
| 13–9 | 0.02 | 12% | 23 Aug → | ||
| 13–8 | 0.13 | 10% | 22 Aug → | ||
| 7–13 | 0.02 | 15% | 22 Aug → | ||
| 13–0 | 0.12 | 9% | 21 Aug → | ||
| 13–10 | 0.04 | 13% | 21 Aug → | ||
| 13–3 | 0.17 | 9% | 21 Aug → | ||
| 9–13 | 0.01 | 12% | 21 Aug → | ||
| 9–13 | 0.02 | 10% | 20 Aug → | ||
| 11–13 | 0.11 | 18% | 20 Aug → | ||
| 15–15 | 0.04 | 12% | 20 Aug → | ||
| 13–6 | 0.08 | 8% | 20 Aug → | ||
| 13–7 | 0.13 | 11% | 20 Aug → | ||
| 6–13 | 0.03 | 12% | 20 Aug → | ||
| 13–11 | 0.02 | 16% | 20 Aug → | ||
| 6–13 | 0.04 | 9% | 20 Aug → | ||
| 8–13 | 0.05 | 11% | 20 Aug → | ||
| 13–10 | 0.10 | 9% | 19 Aug → | ||
| 11–13 | -0.01 | 13% | 19 Aug → | ||
| 6–13 | 0.06 | 10% | 19 Aug → | ||
| 13–11 | 0.08 | 14% | 18 Aug → | ||
| 15–15 | 0.05 | 13% | 18 Aug → | ||
| 11–13 | 0.03 | 12% | 18 Aug → | ||
| 8–0 | 0.06 | 22% | 18 Aug → | ||
| 2–13 | -0.07 | 20% | 18 Aug → | ||
| 11–13 | 0.05 | 7% | 18 Aug → | ||
| 13–5 | -0.01 | 13% | 17 Aug → | ||
| 13–8 | 0.02 | 7% | 17 Aug → | ||
| 13–8 | 0.11 | 8% | 17 Aug → | ||
| 11–13 | 0.04 | 12% | 17 Aug → | ||
| 7–13 | 0.06 | 16% | 16 Aug → | ||
| 11–13 | 0.01 | 16% | 16 Aug → | ||
| 13–1 | 0.05 | 26% | 16 Aug → | ||
| 7–13 | 0.00 | 20% | 16 Aug → | ||
| 10–13 | 0.02 | 13% | 16 Aug → | ||
| 13–1 | 0.18 | 11% | 15 Aug → | ||
| 16–14 | 0.01 | 12% | 15 Aug → | ||
| 3–13 | 0.00 | 20% | 15 Aug → | ||
| 13–7 | 0.05 | 25% | 15 Aug → | ||
| 9–13 | 0.02 | 8% | 14 Aug → | ||
| 13–8 | 0.10 | 11% | 14 Aug → | ||
| 13–5 | 0.00 | 10% | 14 Aug → | ||
| 13–10 | 0.06 | 8% | 14 Aug → | ||
| 13–7 | 0.08 | 13% | 14 Aug → | ||
| 5–13 | 0.07 | 14% | 14 Aug → | ||
| 10–13 | 0.06 | 19% | 14 Aug → | ||
| 13–1 | 0.09 | 11% | 14 Aug → | ||
| 11–13 | 0.19 | 15% | 14 Aug → | ||
| 16–14 | 0.05 | 8% | 14 Aug → | ||
| 6–13 | -0.05 | 10% | 13 Aug → | ||
| 13–0 | 0.16 | 7% | 13 Aug → | ||
| 13–10 | 0.10 | 15% | 13 Aug → | ||
| 13–9 | 0.08 | 14% | 13 Aug → | ||
| 13–7 | 0.03 | 20% | 13 Aug → | ||
| 6–13 | -0.03 | 12% | 13 Aug → | ||
| 2–13 | -0.01 | 13% | 13 Aug → | ||
| 11–13 | 0.05 | 27% | 12 Aug → | ||
| 3–9 | 0.04 | 7% | 12 Aug → | ||
| 6–13 | -0.03 | 5% | 12 Aug → | ||
| 13–7 | 0.11 | 15% | 12 Aug → | ||
| 7–13 | 0.00 | 12% | 12 Aug → | ||
| 8–13 | 0.05 | 12% | 12 Aug → | ||
| 7–13 | -0.00 | 14% | 12 Aug → |
Match data via Leetify.