YanErC7 — CS2 Stats
CN76561198407545688[U:1:447279960]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 43.9% | 44.2% | 44.9% | 0.9% short |
| Shot accuracy | 10.5% | 11.2% | 11.8% | 1.3% short |
| Kill/death ratio | 1.05 | 1.04 | 1.04 | meets |
| Match win rate | 41.5% | 45.3% | 45.3% | 3.7% short |
This profile matches the typical Level 6 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: -30pp win rate · -0.03 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 79% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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. 647ms 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 4.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 31 | 15–16 | 48% | 0.01 | |
| A | 27 | 16–11 | 59% | 0.01 | |
| D | 23 | 5–18 | 22% | -0.01 | |
| D | 8 | 1–7 | 13% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 3 | 3–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (13% over 8). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 50% | 1.09 | 12.0 |
| Mirage | 2 | 100% | 0.98 | 13.5 |
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 12.9193° — above the 12° 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 0.417 — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.07 | 13% | 7 May → | ||
| 16–14 | -0.07 | 14% | 7 May → | ||
| 14–16 | -0.01 | 18% | 5 May → | ||
| 13–16 | -0.08 | 15% | 5 May → | ||
| 4–13 | 0.00 | 13% | 5 May → | ||
| 13–8 | 0.02 | 16% | 5 May → | ||
| 8–13 | -0.04 | 13% | 5 May → | ||
| 6–13 | 0.01 | 11% | 4 May → | ||
| 14–16 | -0.04 | 10% | 4 May → | ||
| 7–13 | -0.02 | 6% | 3 May → | ||
| 13–5 | 0.00 | 26% | 3 May → | ||
| 0–13 | -0.10 | 15% | 3 May → | ||
| 13–7 | 0.01 | 25% | 3 May → | ||
| 13–10 | 0.04 | 19% | 2 May → | ||
| 6–13 | -0.01 | 13% | 2 May → | ||
| 13–2 | 0.02 | 14% | 1 May → | ||
| 10–13 | 0.05 | 26% | 30 Apr → | ||
| 11–13 | 0.00 | 30% | 30 Apr → | ||
| 13–7 | 0.08 | 16% | 30 Apr → | ||
| 2–13 | -0.09 | 13% | 29 Apr → | ||
| 10–13 | 0.02 | 13% | 28 Apr → | ||
| 13–2 | 0.04 | 17% | 28 Apr → | ||
| 13–8 | 0.04 | 13% | 27 Apr → | ||
| 13–16 | 0.12 | 18% | 27 Apr → | ||
| 11–13 | -0.05 | 16% | 27 Apr → | ||
| 13–5 | -0.03 | 8% | 26 Apr → | ||
| 13–5 | 0.01 | 6% | 26 Apr → | ||
| 15–15 | -0.02 | 26% | 26 Apr → | ||
| 10–13 | -0.07 | 16% | 25 Apr → | ||
| 13–3 | 0.06 | 19% | 25 Apr → | ||
| 9–13 | -0.02 | 10% | 24 Apr → | ||
| 13–5 | -0.01 | 11% | 24 Apr → | ||
| 13–7 | 0.07 | 18% | 23 Apr → | ||
| 16–14 | -0.03 | 15% | 23 Apr → | ||
| 13–7 | 0.06 | 11% | 22 Apr → | ||
| 14–16 | 0.00 | 13% | 21 Apr → | ||
| 13–6 | 0.01 | 14% | 20 Apr → | ||
| 13–10 | 0.01 | 36% | 20 Apr → | ||
| 11–13 | -0.09 | 30% | 20 Apr → | ||
| 5–13 | -0.02 | 16% | 20 Apr → | ||
| 13–16 | -0.03 | 9% | 19 Apr → | ||
| 7–13 | -0.02 | 30% | 19 Apr → | ||
| 13–9 | -0.02 | 12% | 18 Apr → | ||
| 6–13 | -0.04 | 11% | 18 Apr → | ||
| 13–11 | -0.00 | 19% | 18 Apr → | ||
| 13–10 | 0.00 | 11% | 18 Apr → | ||
| 13–10 | -0.00 | 13% | 18 Apr → | ||
| 9–13 | 0.02 | 11% | 17 Apr → | ||
| 13–6 | 0.02 | 26% | 17 Apr → | ||
| 13–6 | 0.03 | 16% | 14 Apr → | ||
| 9–13 | 0.04 | 25% | 14 Apr → | ||
| 5–13 | -0.06 | 14% | 13 Apr → | ||
| 9–13 | -0.02 | 22% | 13 Apr → | ||
| 3–13 | -0.03 | 12% | 13 Apr → | ||
| 5–13 | 0.01 | 17% | 12 Apr → | ||
| 11–13 | 0.07 | 19% | 11 Apr → | ||
| 13–7 | 0.07 | 27% | 11 Apr → | ||
| 13–4 | 0.07 | 17% | 11 Apr → | ||
| 9–13 | -0.03 | 24% | 10 Apr → | ||
| 13–11 | 0.03 | 21% | 10 Apr → | ||
| 2–13 | -0.03 | 10% | 10 Apr → | ||
| 5–13 | -0.07 | 13% | 10 Apr → | ||
| 13–7 | -0.03 | 10% | 10 Apr → | ||
| 13–3 | 0.01 | 11% | 10 Apr → | ||
| 3–13 | -0.07 | 9% | 10 Apr → | ||
| 13–10 | 0.03 | 19% | 10 Apr → | ||
| 13–5 | 0.01 | 13% | 9 Apr → | ||
| 9–13 | -0.05 | 14% | 9 Apr → | ||
| 6–13 | -0.08 | 19% | 9 Apr → | ||
| 15–15 | 0.07 | 22% | 9 Apr → | ||
| 13–11 | -0.03 | 17% | 8 Apr → | ||
| 13–3 | 0.09 | 9% | 8 Apr → | ||
| 15–15 | -0.01 | 7% | 8 Apr → | ||
| 13–10 | -0.00 | 17% | 6 Apr → | ||
| 10–13 | 0.01 | 19% | 6 Apr → | ||
| 13–7 | 0.01 | 6% | 6 Apr → | ||
| 6–13 | 0.01 | 16% | 6 Apr → | ||
| 16–14 | 0.01 | 13% | 5 Apr → | ||
| 5–13 | -0.09 | 22% | 5 Apr → | ||
| 11–13 | 0.01 | 14% | 5 Apr → | ||
| 13–1 | -0.03 | 16% | 5 Apr → | ||
| 13–4 | -0.02 | 21% | 3 Apr → | ||
| 13–7 | -0.01 | 19% | 3 Apr → | ||
| 6–13 | 0.05 | 15% | 3 Apr → | ||
| 8–13 | 0.04 | 11% | 3 Apr → | ||
| 10–13 | -0.01 | 9% | 2 Apr → | ||
| 13–6 | -0.01 | 17% | 2 Apr → | ||
| 9–13 | -0.01 | 17% | 2 Apr → | ||
| 13–2 | 0.06 | 17% | 31 Mar → | ||
| 13–10 | 0.06 | 5% | 30 Mar → | ||
| 9–13 | 0.00 | 21% | 29 Mar → | ||
| 6–13 | 0.04 | 20% | 28 Mar → | ||
| 9–13 | -0.04 | 20% | 28 Mar → | ||
| 14–16 | 0.04 | 16% | 28 Mar → | ||
| 5–13 | -0.03 | 15% | 28 Mar → | ||
| 13–11 | 0.03 | 15% | 27 Mar → | ||
| 13–16 | 0.07 | 9% | 26 Mar → | ||
| 6–13 | -0.07 | 7% | 25 Mar → | ||
| 13–7 | 0.00 | 16% | 25 Mar → | ||
| 13–6 | 0.03 | 21% | 25 Mar → |
Match data via Leetify.