KungFoy ♡ — CS2 Stats
US76561198813884597[U:1:853618869]Steam profile ↗✓ No bans
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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: Passive Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 72% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 734ms 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 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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% | -0.01 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| D | 9 | 0–9 | 0% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| shelter | — | 1 | 1–0 | 100% | -0.00 |
| fachwerk | — | 1 | 0–1 | 0% | -0.03 |
| office | — | 1 | 0–1 | 0% | -0.04 |
| stronghold | — | 1 | 1–0 | 100% | -0.03 |
| alpine | — | 1 | 1–0 | 100% | -0.08 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 67% | 0.61 | 9.3 |
| Nuke | 2 | 50% | 1.32 | 11.5 |
| Inferno | 2 | 100% | 1.28 | 16.0 |
| Overpass | 1 | 0% | 0.79 | 11.0 |
| Ancient | 1 | 100% | 1.58 | 19.0 |
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 733.8261ms — above the 700ms 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 0.3987 — below the 0.5 mark we flag
- 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 23.1623% — 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.
0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.04 | 21% | 25 Aug → | ||
| 12–12 | -0.03 | 11% | 18 Jul → | ||
| 13–6 | 0.01 | 27% | 18 Jul → | ||
| 12–12 | 0.00 | 20% | 18 Jul → | ||
| 12–12 | -0.04 | 18% | 17 Jul → | ||
| 12–12 | -0.04 | 20% | 15 Jul → | ||
| 13–3 | -0.05 | 17% | 15 Jul → | ||
| 6–13 | -0.04 | 25% | 15 Jul → | ||
| 13–7 | -0.03 | 14% | 15 Jul → | ||
| 13–10 | -0.09 | 2% | 15 Jul → | ||
| 13–6 | 0.02 | 19% | 14 Jul → | ||
| shelter | 13–10 | -0.00 | 22% | 13 Jul → | |
| fachwerk | 9–13 | -0.03 | 20% | 12 Jul → | |
| 10–13 | -0.08 | 17% | 8 Jul → | ||
| 13–6 | 0.00 | 21% | 8 Jul → | ||
| 12–12 | -0.06 | 8% | 8 Jul → | ||
| 5–13 | -0.05 | 17% | 8 Jul → | ||
| 13–10 | -0.02 | 15% | 20 Jun → | ||
| 8–13 | -0.00 | 16% | 20 Jun → | ||
| 13–5 | -0.04 | 25% | 20 Jun → | ||
| 11–13 | -0.05 | 14% | 20 Jun → | ||
| 13–11 | -0.01 | 27% | 31 Mar → | ||
| 12–12 | 0.02 | 24% | 31 Mar → | ||
| 13–5 | -0.06 | 27% | 31 Mar → | ||
| 9–13 | -0.01 | 16% | 30 Mar → | ||
| 7–13 | -0.06 | 17% | 27 Mar → | ||
| 6–13 | -0.03 | 15% | 27 Mar → | ||
| 13–10 | -0.00 | 19% | 27 Mar → | ||
| 13–10 | 0.03 | 24% | 24 Mar → | ||
| 11–13 | 0.01 | 25% | 24 Mar → | ||
| 13–8 | -0.02 | 17% | 24 Mar → | ||
| 6–13 | -0.05 | 12% | 24 Mar → | ||
| 5–13 | 0.14 | 30% | 24 Mar → | ||
| 12–12 | -0.05 | 23% | 17 Mar → | ||
| 6–13 | -0.03 | 16% | 17 Mar → | ||
| 12–12 | 0.01 | 11% | 8 Mar → | ||
| 7–13 | -0.08 | 17% | 8 Mar → | ||
| 13–10 | -0.02 | 22% | 24 Feb → | ||
| 5–13 | -0.02 | 15% | 24 Feb → | ||
| 13–5 | -0.01 | 23% | 24 Feb → | ||
| 13–8 | 0.02 | 20% | 24 Feb → | ||
| 13–5 | 0.03 | 33% | 24 Feb → | ||
| 13–5 | -0.04 | 15% | 24 Feb → | ||
| 13–10 | -0.06 | 13% | 24 Feb → | ||
| 12–12 | -0.03 | 29% | 23 Feb → | ||
| 13–11 | -0.00 | 20% | 23 Feb → | ||
| 9–13 | -0.05 | 18% | 23 Feb → | ||
| 12–12 | -0.03 | 30% | 23 Feb → | ||
| 12–12 | 0.02 | 19% | 23 Feb → | ||
| 13–5 | 0.09 | 44% | 23 Feb → | ||
| 5–3 | 0.02 | 13% | 23 Feb → | ||
| 12–12 | -0.03 | 19% | 20 Feb → | ||
| 13–2 | -0.01 | 8% | 20 Feb → | ||
| 7–13 | -0.05 | 20% | 20 Feb → | ||
| office | 6–13 | -0.04 | 28% | 20 Feb → | |
| 6–13 | -0.03 | 11% | 20 Feb → | ||
| 13–2 | 0.08 | 30% | 19 Feb → | ||
| 8–13 | -0.01 | 18% | 19 Feb → | ||
| 8–13 | 0.00 | 30% | 19 Feb → | ||
| 13–5 | 0.03 | 24% | 19 Feb → | ||
| 12–12 | 0.02 | 16% | 19 Feb → | ||
| 5–13 | -0.03 | 18% | 19 Feb → | ||
| 13–4 | -0.03 | 20% | 19 Feb → | ||
| 11–13 | -0.06 | 20% | 18 Feb → | ||
| 13–4 | 0.06 | 15% | 18 Feb → | ||
| 13–6 | -0.05 | 38% | 18 Feb → | ||
| 9–13 | -0.04 | 10% | 17 Feb → | ||
| 7–13 | -0.02 | 12% | 17 Feb → | ||
| 9–13 | -0.02 | 17% | 13 Feb → | ||
| 13–3 | 0.06 | 17% | 13 Feb → | ||
| 9–13 | 0.02 | 28% | 13 Feb → | ||
| 13–11 | 0.03 | 15% | 11 Feb → | ||
| 8–13 | -0.05 | 24% | 11 Feb → | ||
| 12–12 | -0.01 | 17% | 11 Feb → | ||
| 5–2 | -0.07 | 31% | 11 Feb → | ||
| 13–1 | 0.02 | 23% | 11 Feb → | ||
| 11–13 | -0.05 | 15% | 11 Feb → | ||
| 13–4 | 0.06 | 24% | 11 Feb → | ||
| 13–7 | -0.02 | 23% | 5 Feb → | ||
| 13–6 | 0.01 | 30% | 5 Feb → | ||
| 13–6 | 0.03 | 32% | 5 Feb → | ||
| 6–13 | -0.09 | 26% | 5 Feb → | ||
| 0–6 | -0.09 | 0% | 26 Jan → | ||
| stronghold | 13–5 | -0.03 | 12% | 26 Jan → | |
| alpine | 13–8 | -0.08 | 28% | 26 Jan → | |
| warden | 13–2 | -0.02 | 17% | 26 Jan → | |
| 5–13 | -0.03 | 7% | 14 Jan → | ||
| 13–7 | -0.01 | 36% | 14 Jan → | ||
| 13–1 | 0.11 | 28% | 14 Jan → | ||
| 7–13 | 0.02 | 21% | 14 Jan → | ||
| 11–13 | -0.04 | 31% | 14 Jan → | ||
| 7–13 | 0.03 | 19% | 12 Jan → | ||
| 13–6 | 0.08 | 19% | 12 Jan → | ||
| 13–11 | -0.06 | 10% | 9 Jan → | ||
| 13–9 | 0.03 | 26% | 9 Jan → | ||
| 13–2 | 0.04 | 15% | 9 Jan → | ||
| 11–13 | 0.00 | 48% | 9 Jan → | ||
| 4–13 | -0.05 | 31% | 7 Jan → | ||
| 5–13 | -0.03 | 24% | 7 Jan → | ||
| 13–11 | -0.05 | 15% | 7 Jan → |
Match data via Leetify.