mr. folk — CS2 Stats
76561197961717470[U:1:1451742]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=6,418), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 48.1% | 47.1% | 50.0% | 1.9% short |
| Shot accuracy | 10.8% | 12.8% | 13.5% | 2.7% short |
| Kill/death ratio | 1.18 | 1.08 | 1.13 | above |
| Match win rate | 46.6% | 46.6% | 48.4% | 1.8% short |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red 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 · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong 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 sh1ro 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
T-side openings. Opening success drops from 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 661ms 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 7.1/10 (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 |
|---|---|---|---|---|---|
| B | 31 | 14–17 | 45% | 0.03 | |
| C | 18 | 8–10 | 44% | -0.01 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| S | 7 | 5–2 | 71% | -0.00 | |
| palais | A | 5 | 3–2 | 60% | 0.11 |
| — | 4 | 2–2 | 50% | 0.06 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| poseidon | — | 1 | 0–1 | 0% | -0.04 |
| — | 1 | 1–0 | 100% | 0.10 | |
| jura | — | 1 | 0–1 | 0% | -0.08 |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 12). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 68 | 47% | 1.20 | 18.7 |
| Nuke | 30 | 57% | 1.60 | 21.2 |
| Anubis | 26 | 54% | 1.34 | 19.7 |
| Dust2 | 24 | 25% | 1.08 | 19.4 |
| Ancient | 13 | 69% | 1.33 | 20.9 |
| Inferno | 11 | 64% | 1.07 | 15.8 |
| Train | 5 | 20% | 1.14 | 19.2 |
| Cache | 3 | 67% | 1.46 | 20.7 |
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 37.9602% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| poseidon | 4–9 | -0.04 | 25% | 23 Aug → | |
| 10–13 | 0.07 | 29% | 21 Aug → | ||
| 9–13 | 0.03 | 25% | 10 Aug → | ||
| 13–16 | 0.01 | 19% | 10 Aug → | ||
| 8–8 | -0.03 | 29% | 5 Aug → | ||
| 15–15 | -0.01 | 25% | 3 Aug → | ||
| 9–6 | 0.15 | 22% | 3 Aug → | ||
| 13–9 | -0.00 | 24% | 28 Jul → | ||
| 13–10 | -0.04 | 11% | 28 Jul → | ||
| 9–5 | 0.03 | 47% | 26 Jul → | ||
| 2–13 | -0.07 | 19% | 23 Jul → | ||
| 13–5 | 0.01 | 20% | 23 Jul → | ||
| 13–10 | 0.10 | 29% | 23 Jul → | ||
| 16–14 | 0.00 | 14% | 23 Jul → | ||
| 9–13 | 0.02 | 32% | 23 Jul → | ||
| 13–8 | 0.04 | 16% | 23 Jul → | ||
| 11–13 | -0.05 | 31% | 22 Jul → | ||
| 7–13 | -0.06 | 17% | 22 Jul → | ||
| 11–13 | 0.00 | 20% | 22 Jul → | ||
| 13–4 | 0.11 | 27% | 22 Jul → | ||
| 13–3 | 0.03 | 50% | 22 Jul → | ||
| 13–5 | 0.06 | 24% | 22 Jul → | ||
| 13–8 | -0.04 | 21% | 22 Jul → | ||
| 15–15 | -0.02 | 18% | 21 Jul → | ||
| 13–5 | 0.06 | 20% | 21 Jul → | ||
| 13–9 | 0.09 | 30% | 21 Jul → | ||
| 7–13 | 0.03 | 23% | 21 Jul → | ||
| 3–13 | 0.03 | 28% | 13 Jul → | ||
| 8–13 | -0.01 | 21% | 12 Jul → | ||
| 13–7 | -0.04 | 23% | 12 Jul → | ||
| 13–7 | 0.01 | 17% | 12 Jul → | ||
| 13–11 | 0.06 | 23% | 11 Jul → | ||
| 13–11 | 0.05 | 24% | 9 Jul → | ||
| 13–6 | 0.02 | 25% | 9 Jul → | ||
| 16–14 | 0.01 | 27% | 9 Jul → | ||
| 11–13 | 0.00 | 22% | 9 Jul → | ||
| 8–13 | 0.03 | 35% | 8 Jul → | ||
| 10–13 | 0.04 | 25% | 6 Jul → | ||
| 13–6 | 0.05 | 25% | 6 Jul → | ||
| 8–13 | 0.02 | 28% | 16 Jun → | ||
| 9–13 | -0.03 | 25% | 13 May → | ||
| 5–13 | 0.03 | 22% | 22 Mar → | ||
| 13–5 | 0.07 | 27% | 20 Mar → | ||
| 4–13 | 0.06 | 19% | 18 Mar → | ||
| 10–13 | 0.01 | 22% | 15 Mar → | ||
| 11–13 | -0.01 | 30% | 12 Mar → | ||
| 11–13 | 0.05 | 31% | 1 Mar → | ||
| 13–7 | 0.03 | 14% | 25 Feb → | ||
| 14–16 | 0.03 | 25% | 23 Feb → | ||
| 13–7 | 0.13 | 25% | 22 Feb → | ||
| 13–5 | 0.13 | 17% | 20 Feb → | ||
| 13–1 | 0.06 | 23% | 19 Feb → | ||
| 3–13 | 0.09 | 20% | 18 Feb → | ||
| 13–6 | 0.06 | 27% | 12 Feb → | ||
| 13–6 | 0.12 | 28% | 9 Feb → | ||
| 9–3 | 0.16 | 20% | 8 Feb → | ||
| 13–1 | 0.10 | 14% | 30 Jan → | ||
| 9–5 | 0.10 | 32% | 29 Jan → | ||
| 4–9 | -0.01 | 25% | 3 Jan → | ||
| 5–9 | -0.16 | 26% | 3 Jan → | ||
| 4–9 | -0.00 | 24% | 3 Jan → | ||
| 11–13 | 0.04 | 24% | 25 Aug → | ||
| 0–9 | -0.23 | 20% | 23 Aug → | ||
| jura | 3–13 | -0.08 | 27% | 8 May → | |
| 16–14 | 0.04 | 20% | 20 Apr → | ||
| 3–9 | -0.15 | 19% | 6 Apr → | ||
| 13–5 | 0.03 | 10% | 29 Mar → | ||
| 13–11 | 0.01 | 21% | 26 Mar → | ||
| 13–6 | 0.02 | 21% | 23 Mar → | ||
| 16–14 | 0.03 | 23% | 23 Mar → | ||
| 2–13 | 0.02 | 10% | 23 Mar → | ||
| 4–13 | -0.06 | 21% | 23 Mar → | ||
| palais | 9–4 | 0.31 | 23% | 22 Mar → | |
| palais | 7–9 | -0.02 | 19% | 22 Mar → | |
| 5–13 | 0.00 | 38% | 18 Mar → | ||
| palais | 9–2 | 0.02 | 0% | 16 Mar → | |
| palais | 3–9 | 0.04 | 11% | 14 Mar → | |
| 5–13 | -0.04 | 17% | 12 Mar → | ||
| 13–4 | 0.03 | 28% | 11 Mar → | ||
| 5–13 | -0.04 | 24% | 11 Mar → | ||
| 10–13 | -0.02 | 15% | 11 Mar → | ||
| 6–13 | 0.02 | 22% | 9 Mar → | ||
| 11–13 | -0.01 | 18% | 9 Mar → | ||
| 13–10 | 0.03 | 34% | 5 Mar → | ||
| palais | 9–3 | 0.20 | 19% | 27 Feb → | |
| 4–13 | -0.06 | 20% | 25 Feb → | ||
| 13–6 | 0.02 | 26% | 25 Feb → | ||
| 0–13 | -0.12 | 19% | 23 Feb → | ||
| 13–11 | 0.02 | 24% | 22 Feb → | ||
| 9–13 | -0.01 | 14% | 16 Feb → | ||
| 13–11 | 0.02 | 18% | 16 Feb → | ||
| 13–5 | 0.04 | 12% | 16 Feb → | ||
| 13–8 | 0.02 | 25% | 15 Feb → | ||
| 13–16 | 0.04 | 17% | 15 Feb → | ||
| 13–7 | -0.04 | 23% | 15 Feb → | ||
| 11–13 | -0.00 | 17% | 15 Feb → | ||
| 13–6 | 0.05 | 25% | 14 Feb → | ||
| 7–13 | 0.06 | 33% | 12 Feb → | ||
| 3–13 | 0.02 | 32% | 11 Feb → | ||
| 16–12 | 0.11 | 15% | 31 Jan → |
Match data via Leetify.