Folk Jr. — CS2 Stats
LV76561199095000598[U:1:1134734870]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 37.8% | 42.5% | 44.2% | 6.4% short |
| Shot accuracy | 6.9% | 10.9% | 11.2% | 4.3% short |
| Kill/death ratio | 1.13 | 0.99 | 1.04 | above |
| Match win rate | 51.5% | 44.2% | 45.3% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited utility dependence
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 s1mple 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 72% on CT to 53% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.8/10 (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% | 0.04 | |
| B | 23 | 12–11 | 52% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| D | 9 | 3–6 | 33% | 0.00 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (29% 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 1.31 | 20.4 |
| Dust2 | 3 | 100% | 1.21 | 17.0 |
| Anubis | 3 | 33% | 0.80 | 14.0 |
| Overpass | 1 | 100% | 1.52 | 35.0 |
| Nuke | 1 | 100% | 1.17 | 14.0 |
| Inferno | 1 | 100% | 0.94 | 16.0 |
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.
- 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 0.3444 — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 40% | 4 Aug → | ||
| 11–13 | -0.01 | 18% | 4 Aug → | ||
| 11–13 | -0.05 | 12% | 29 Jul → | ||
| 10–13 | 0.05 | 25% | 28 Jul → | ||
| 10–13 | -0.04 | 18% | 28 Jul → | ||
| 13–5 | 0.08 | 9% | 28 Jul → | ||
| 16–14 | 0.09 | 24% | 27 Jul → | ||
| 11–13 | 0.05 | 22% | 27 Jul → | ||
| 13–10 | 0.03 | 14% | 27 Jul → | ||
| 15–15 | 0.03 | 33% | 26 Jul → | ||
| 13–4 | 0.05 | 24% | 26 Jul → | ||
| 3–13 | -0.07 | 6% | 26 Jul → | ||
| 13–2 | 0.07 | 29% | 24 Jul → | ||
| 11–13 | -0.02 | 15% | 23 Jul → | ||
| 14–16 | 0.08 | 11% | 23 Jul → | ||
| 13–4 | 0.19 | 28% | 22 Jul → | ||
| 13–3 | 0.12 | 32% | 22 Jul → | ||
| 9–13 | -0.04 | 17% | 22 Jul → | ||
| 13–6 | 0.04 | 28% | 13 Jul → | ||
| 13–7 | 0.02 | 6% | 13 Jul → | ||
| 13–1 | 0.03 | 42% | 8 Jul → | ||
| 3–13 | -0.03 | 31% | 28 May → | ||
| 2–13 | -0.06 | 58% | 28 May → | ||
| 13–9 | 0.03 | 46% | 18 May → | ||
| 4–5 | -0.09 | 20% | 13 May → | ||
| 13–10 | 0.06 | 9% | 13 May → | ||
| 13–5 | 0.11 | 26% | 13 May → | ||
| 13–10 | 0.08 | 13% | 6 May → | ||
| 11–13 | -0.03 | 5% | 6 May → | ||
| 8–13 | -0.02 | 8% | 6 May → | ||
| 5–10 | -0.02 | 28% | 4 May → | ||
| 9–13 | 0.03 | 14% | 4 May → | ||
| 6–13 | -0.00 | 23% | 4 May → | ||
| 14–16 | 0.08 | 37% | 1 May → | ||
| 2–13 | -0.10 | 33% | 29 Apr → | ||
| 8–13 | 0.00 | 38% | 28 Apr → | ||
| 13–8 | 0.02 | 15% | 28 Apr → | ||
| 13–8 | 0.08 | 15% | 28 Apr → | ||
| 14–16 | 0.05 | 32% | 27 Apr → | ||
| 8–13 | 0.04 | 13% | 27 Apr → | ||
| 16–13 | 0.05 | 22% | 27 Apr → | ||
| 13–10 | 0.04 | 10% | 27 Apr → | ||
| 13–2 | 0.03 | 9% | 27 Apr → | ||
| 13–4 | 0.08 | 22% | 27 Apr → | ||
| 13–7 | -0.05 | 0% | 27 Apr → | ||
| 13–9 | 0.01 | 24% | 27 Apr → | ||
| 15–15 | 0.09 | 11% | 27 Apr → | ||
| 13–10 | 0.07 | 20% | 26 Apr → | ||
| 13–4 | 0.16 | 42% | 26 Apr → | ||
| 11–13 | 0.10 | 38% | 26 Apr → | ||
| 9–13 | 0.00 | 43% | 26 Apr → | ||
| 11–13 | 0.01 | 22% | 26 Apr → | ||
| 13–10 | 0.05 | 22% | 26 Apr → | ||
| 7–13 | -0.04 | 18% | 23 Apr → | ||
| 6–13 | -0.01 | 17% | 23 Apr → | ||
| 13–5 | 0.05 | 11% | 23 Apr → | ||
| 10–13 | 0.11 | 7% | 23 Apr → | ||
| 16–14 | 0.00 | 13% | 23 Apr → | ||
| 3–13 | -0.05 | 22% | 23 Apr → | ||
| 8–13 | -0.03 | 50% | 23 Apr → | ||
| 4–13 | -0.04 | 45% | 22 Apr → | ||
| 13–9 | 0.00 | 19% | 22 Apr → | ||
| 10–13 | 0.03 | 17% | 22 Apr → | ||
| 8–13 | -0.03 | 28% | 22 Apr → | ||
| 9–13 | -0.00 | 15% | 22 Apr → | ||
| 13–10 | 0.02 | 23% | 22 Apr → | ||
| 13–8 | 0.13 | 21% | 21 Apr → | ||
| 13–9 | 0.05 | 8% | 21 Apr → | ||
| 13–9 | 0.01 | 17% | 21 Apr → | ||
| 13–16 | -0.03 | 23% | 21 Apr → | ||
| 7–13 | -0.00 | 17% | 21 Apr → | ||
| 13–5 | 0.06 | 11% | 21 Apr → | ||
| 13–3 | 0.08 | 50% | 21 Apr → | ||
| 4–13 | 0.02 | 12% | 21 Apr → | ||
| 15–15 | -0.06 | 10% | 21 Apr → | ||
| 13–7 | 0.05 | 9% | 20 Apr → | ||
| 7–13 | -0.03 | 32% | 20 Apr → | ||
| 1–13 | -0.01 | 6% | 17 Apr → | ||
| 16–12 | 0.05 | 34% | 17 Apr → | ||
| 11–13 | 0.04 | 22% | 16 Apr → | ||
| 16–14 | -0.05 | 31% | 14 Apr → | ||
| 2–13 | -0.05 | 13% | 14 Apr → | ||
| 11–2 | -0.02 | 0% | 14 Apr → | ||
| 7–13 | 0.01 | 27% | 13 Apr → | ||
| 13–11 | 0.06 | 19% | 13 Apr → | ||
| 16–14 | 0.03 | 15% | 13 Apr → | ||
| 7–13 | 0.04 | 21% | 13 Apr → | ||
| 13–4 | 0.06 | 13% | 12 Apr → | ||
| 13–7 | 0.07 | 32% | 12 Apr → | ||
| 13–8 | -0.03 | 21% | 10 Apr → | ||
| 13–7 | 0.06 | 26% | 10 Apr → | ||
| 10–13 | 0.04 | 20% | 9 Apr → | ||
| 13–3 | 0.06 | 29% | 9 Apr → | ||
| 11–13 | 0.05 | 28% | 9 Apr → | ||
| 11–13 | 0.04 | 7% | 9 Apr → | ||
| 13–5 | -0.02 | 16% | 9 Apr → | ||
| 13–6 | 0.02 | 20% | 9 Apr → | ||
| 13–5 | -0.00 | 19% | 9 Apr → | ||
| 15–15 | -0.02 | 20% | 9 Apr → | ||
| 10–13 | -0.00 | 41% | 8 Apr → |
Match data via Leetify.