goatseSPORTS | chiefn — CS2 Stats
US76561198047958130[U:1:87692402]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 1,598
- Next: Level 9 at 1,751 — 153 to go
- Reached: Level 8 · Level 7 · Level 6 · Level 5
- Level 8 first seen 2026-08-28
- Level 7 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 Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 64.7% | 52.8% | above |
| Shot accuracy | 4.8% | 13.7% | 9.0% short |
| Kill/death ratio | 0.81 | 1.08 | 0.27 short |
| Match win rate | 39.9% | 49.2% | 9.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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 · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
T-side openings. Opening success drops from 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 5.6/10 (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 | 30 | 18–12 | 60% | 0.01 | |
| S | 21 | 14–7 | 67% | 0.00 | |
| A | 14 | 8–6 | 57% | -0.01 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 247 | 54% | 1.13 | 16.1 |
| Mirage | 232 | 50% | 1.03 | 15.3 |
| Dust2 | 197 | 53% | 1.04 | 15.1 |
| Inferno | 125 | 50% | 1.07 | 15.1 |
| Anubis | 115 | 45% | 1.08 | 15.7 |
| Nuke | 107 | 51% | 1.04 | 15.8 |
| Train | 32 | 47% | 0.96 | 15.6 |
| Cache | 31 | 42% | 1.03 | 16.2 |
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 Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 24.2925% — below the 40% 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 | |
|---|---|---|---|---|---|
| 13–8 | 0.03 | 23% | 20 Aug → | ||
| 13–6 | -0.03 | 25% | 20 Aug → | ||
| 13–4 | 0.07 | 17% | 20 Aug → | ||
| 13–11 | 0.04 | 25% | 20 Aug → | ||
| 13–7 | -0.01 | 8% | 18 Aug → | ||
| 13–16 | 0.01 | 29% | 18 Aug → | ||
| 11–13 | -0.09 | 8% | 17 Aug → | ||
| 11–13 | -0.01 | 16% | 17 Aug → | ||
| 6–13 | 0.04 | 21% | 17 Aug → | ||
| 4–13 | -0.04 | 18% | 16 Aug → | ||
| 3–13 | -0.05 | 17% | 16 Aug → | ||
| 13–5 | 0.01 | 16% | 13 Aug → | ||
| 13–5 | 0.06 | 22% | 11 Aug → | ||
| 25–22 | 0.03 | 21% | 9 Aug → | ||
| 2–13 | -0.07 | 26% | 8 Aug → | ||
| 13–4 | 0.00 | 24% | 8 Aug → | ||
| 5–13 | -0.01 | 17% | 8 Aug → | ||
| 13–5 | 0.05 | 28% | 8 Aug → | ||
| 6–13 | -0.04 | 33% | 8 Aug → | ||
| 13–9 | -0.02 | 18% | 8 Aug → | ||
| 10–13 | -0.07 | 22% | 7 Aug → | ||
| 8–13 | -0.02 | 19% | 7 Aug → | ||
| 10–13 | -0.03 | 21% | 7 Aug → | ||
| 13–10 | 0.09 | 25% | 7 Aug → | ||
| 13–11 | 0.01 | 25% | 6 Aug → | ||
| 13–9 | 0.03 | 30% | 5 Aug → | ||
| 13–10 | 0.00 | 24% | 4 Aug → | ||
| 14–16 | -0.02 | 24% | 4 Aug → | ||
| 3–13 | -0.06 | 34% | 3 Aug → | ||
| 8–13 | -0.01 | 22% | 30 Jul → | ||
| 13–8 | -0.03 | 24% | 30 Jul → | ||
| 13–7 | 0.06 | 23% | 30 Jul → | ||
| 13–7 | -0.03 | 13% | 28 Jul → | ||
| 13–9 | 0.01 | 23% | 28 Jul → | ||
| 9–13 | -0.05 | 24% | 27 Jul → | ||
| 13–4 | 0.05 | 12% | 27 Jul → | ||
| 13–10 | 0.05 | 30% | 27 Jul → | ||
| 5–13 | -0.11 | 23% | 27 Jul → | ||
| 13–9 | 0.03 | 29% | 26 Jul → | ||
| 13–2 | 0.10 | 21% | 26 Jul → | ||
| 16–13 | 0.02 | 22% | 26 Jul → | ||
| 13–10 | -0.05 | 18% | 25 Jul → | ||
| 11–13 | 0.00 | 28% | 23 Jul → | ||
| 16–14 | 0.03 | 43% | 23 Jul → | ||
| 9–13 | -0.02 | 21% | 23 Jul → | ||
| 9–13 | 0.01 | 17% | 23 Jul → | ||
| 13–10 | 0.01 | 14% | 22 Jul → | ||
| 13–10 | 0.05 | 23% | 22 Jul → | ||
| 16–14 | 0.02 | 20% | 22 Jul → | ||
| 2–13 | -0.03 | 21% | 22 Jul → | ||
| 13–6 | 0.02 | 16% | 22 Jul → | ||
| 16–13 | -0.04 | 27% | 21 Jul → | ||
| 13–9 | 0.04 | 21% | 21 Jul → | ||
| 16–14 | 0.00 | 11% | 21 Jul → | ||
| 2–13 | -0.01 | 42% | 21 Jul → | ||
| 13–5 | 0.01 | 32% | 20 Jul → | ||
| 14–16 | 0.04 | 16% | 20 Jul → | ||
| 13–5 | 0.09 | 36% | 20 Jul → | ||
| 13–11 | -0.04 | 28% | 20 Jul → | ||
| 14–16 | -0.01 | 17% | 20 Jul → | ||
| 13–5 | -0.04 | 18% | 19 Jul → | ||
| 10–13 | 0.02 | 40% | 19 Jul → | ||
| 14–16 | -0.01 | 20% | 19 Jul → | ||
| 13–4 | 0.04 | 22% | 19 Jul → | ||
| 13–7 | -0.00 | 18% | 18 Jul → | ||
| 16–19 | -0.03 | 21% | 18 Jul → | ||
| 13–7 | -0.00 | 26% | 18 Jul → | ||
| 13–11 | -0.03 | 19% | 18 Jul → | ||
| 13–3 | 0.01 | 23% | 16 Jul → | ||
| 7–13 | -0.07 | 19% | 16 Jul → | ||
| 11–13 | -0.01 | 17% | 14 Jul → | ||
| 8–13 | -0.06 | 20% | 10 Jul → | ||
| 13–11 | -0.05 | 16% | 10 Jul → | ||
| 13–6 | 0.06 | 30% | 10 Jul → | ||
| 10–13 | -0.05 | 29% | 10 Jul → | ||
| 7–13 | -0.01 | 16% | 10 Jul → | ||
| 13–4 | 0.04 | 12% | 9 Jul → | ||
| 13–10 | 0.00 | 30% | 8 Jul → | ||
| 13–10 | 0.05 | 23% | 8 Jul → | ||
| 13–7 | -0.02 | 24% | 8 Jul → | ||
| 5–13 | 0.06 | 33% | 6 Jul → | ||
| 13–4 | -0.01 | 25% | 6 Jul → | ||
| 7–13 | 0.03 | 20% | 5 Jul → | ||
| 13–4 | 0.06 | 26% | 5 Jul → | ||
| 13–5 | 0.09 | 19% | 5 Jul → | ||
| 8–13 | -0.03 | 24% | 5 Jul → | ||
| 13–8 | 0.04 | 21% | 5 Jul → | ||
| 8–13 | -0.04 | 22% | 4 Jul → | ||
| 13–5 | 0.02 | 23% | 4 Jul → | ||
| 8–13 | -0.06 | 31% | 4 Jul → | ||
| 13–16 | -0.05 | 23% | 4 Jul → | ||
| 15–19 | -0.02 | 18% | 4 Jul → | ||
| 10–13 | -0.05 | 7% | 4 Jul → | ||
| 5–13 | -0.06 | 31% | 3 Jul → | ||
| 13–11 | -0.01 | 15% | 2 Jul → | ||
| 11–13 | -0.04 | 10% | 2 Jul → | ||
| 13–11 | 0.03 | 30% | 2 Jul → | ||
| 13–7 | -0.04 | 30% | 30 Jun → | ||
| 13–4 | 0.04 | 14% | 30 Jun → | ||
| 11–13 | 0.03 | 19% | 29 Jun → |
Match data via Leetify.
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