The King Of KFC Jamal

The King Of KFC Jamal — CS2 Stats

HM76561198875340014[U:1:915074286]Steam profile ↗✓ No bans

381Tracked matches34%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 381 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,607 -2,655 16 Mar – 6 Sept · 34 days played
13,60716,812peak 16,81216 Mar6 Sept
17,134Peak Premier in tracked matches
36Days played since 2026-03-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGThe King Of KFC JamalFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning52
Utility35

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLTLLWLWLLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.2pp headshot accuracy · −56ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 664ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 648ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.5
Utility3.5
Positioning5.2
Opening Duels4.5
Clutch3.2

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 641ms 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

Aim6.5
Positioning5.2
Utility3.5
Mechanics6.9
Opening Duels3.6
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time638ms+16ms
first ⅓ avg 623ms → last ⅓ avg 638ms
Headshot accuracy15.0%+0.3%
first ⅓ avg 14.7% → last ⅓ avg 15.0%

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.

Personal bests

0.16Best match rating · 13–2 · inferno, 24 Mar →
38%Best headshot accuracy · 13–5 · mirage, 14 Apr →
430msFastest reaction time · 13–10 · inferno, 15 Apr →
13–2Biggest win · inferno, 24 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 62% over 13dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%0.01
mirageB157–847%-0.02
ancientC146–843%0.00
infernoB137–654%0.01
nukeA138–562%0.02
anubisC125–742%0.00
overpassC83–538%0.01
cache—31–233%-0.00
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches
58%Win rate
1.00Avg K/D
78.3ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient560%0.7616.4
Nuke560%1.0016.2
Anubis540%0.8615.2
Inferno475%1.2010.5
Overpass367%1.3319.7
Dust2250%0.9415.5
Cache10%0.8214.0
Mirage1100%1.4423.0

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.

15.3%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.0%Spray accuracy
80.9%Counter-strafing
10.7°Preaim
641msReaction time
39.4%T opening success
49.4%CT opening success
0.45Enemies flashed / flash
7.0%Flash assists
7.09HE damage / grenade
4.95Flashes / match

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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4523 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.3737% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–130.004%11 Sept →
ancient15–150.0010%10 Sept →
inferno8–130.0223%12 May →
dust24–130.0423%10 May →
nuke13–7-0.0116%6 May →
dust25–130.0118%4 May →
ancient13–5-0.0323%4 May →
dust211–130.004%4 May →
cache9–130.0311%30 Apr →
cache1–7-0.060%30 Apr →
cache13–30.0213%29 Apr →
mirage13–9-0.079%26 Apr →
dust213–160.0016%24 Apr →
nuke5–13-0.0112%23 Apr →
inferno10–13-0.098%21 Apr →
mirage13–10-0.0110%21 Apr →
anubis13–8-0.0113%21 Apr →
dust25–13-0.0617%21 Apr →
nuke10–130.0724%21 Apr →
inferno11–30.0111%20 Apr →
dust27–13-0.0425%20 Apr →
nuke13–70.0413%20 Apr →
overpass13–110.0227%20 Apr →
overpass13–10-0.0212%18 Apr →
ancient10–13-0.0420%18 Apr →
inferno3–13-0.1017%17 Apr →
mirage4–13-0.0420%17 Apr →
dust29–130.0022%17 Apr →
overpass5–130.0315%16 Apr →
mirage12–16-0.0116%16 Apr →
anubis15–150.088%16 Apr →
inferno16–13-0.0016%16 Apr →
dust213–8-0.0120%16 Apr →
nuke5–20.0333%16 Apr →
dust213–11-0.0113%15 Apr →
inferno13–10-0.0026%15 Apr →
nuke7–13-0.0326%15 Apr →
mirage4–13-0.0613%15 Apr →
dust23–13-0.0214%15 Apr →
nuke13–70.0821%15 Apr →
mirage13–50.0538%14 Apr →
anubis13–100.016%14 Apr →
ancient10–13-0.0121%14 Apr →
mirage2–13-0.0515%14 Apr →
anubis13–80.0323%13 Apr →
ancient13–7-0.0416%13 Apr →
anubis11–130.028%13 Apr →
nuke15–150.0630%12 Apr →
ancient10–130.0615%12 Apr →
anubis4–13-0.0215%12 Apr →
overpass2–13-0.0512%12 Apr →
ancient4–130.0512%12 Apr →
nuke13–80.0230%10 Apr →
dust213–110.1120%10 Apr →
dust213–70.0612%10 Apr →
anubis9–13-0.0012%10 Apr →
ancient13–90.0016%10 Apr →
overpass9–130.0315%9 Apr →
ancient16–12-0.0322%9 Apr →
ancient11–13-0.0715%8 Apr →
vertigo9–13-0.0414%8 Apr →
ancient13–80.0315%8 Apr →
inferno11–13-0.045%6 Apr →
mirage13–6-0.0221%6 Apr →
nuke9–130.0123%6 Apr →
anubis5–13-0.0414%6 Apr →
inferno13–40.0214%6 Apr →
mirage13–11-0.0117%6 Apr →
dust210–130.0118%6 Apr →
nuke13–9-0.103%4 Apr →
mirage13–160.019%2 Apr →
anubis13–110.0314%2 Apr →
ancient7–130.0118%2 Apr →
dust216–14-0.0222%2 Apr →
mirage7–13-0.0511%1 Apr →
inferno13–110.1210%1 Apr →
anubis10–130.0210%31 Mar →
dust211–13-0.006%31 Mar →
ancient13–60.049%31 Mar →
overpass13–160.049%31 Mar →
dust29–13-0.0712%31 Mar →
anubis7–13-0.0430%30 Mar →
dust213–100.0429%29 Mar →
dust214–160.0317%29 Mar →
dust210–130.0314%24 Mar →
inferno13–20.1623%24 Mar →
mirage16–140.0311%24 Mar →
dust214–160.0223%23 Mar →
inferno13–9-0.0224%23 Mar →
overpass13–110.0412%23 Mar →
mirage9–13-0.0513%21 Mar →
dust213–80.0526%21 Mar →
nuke13–60.049%21 Mar →
inferno11–130.0419%21 Mar →
nuke13–110.0117%21 Mar →
anubis16–13-0.029%20 Mar →
ancient11–130.0311%20 Mar →
mirage5–13-0.0115%20 Mar →
overpass6–130.0212%17 Mar →
mirage13–9-0.065%16 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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