KingPogona

KingPogona — CS2 Stats

GB76561198065395639[U:1:105129911]Steam profile ↗✓ No bans

394Tracked matches57%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating19,094Top 50% of 210,584 CSDB-tracked playersPurple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#97119 of 257731 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,094 → 19,094
+2Tracked matches · now 394
−5.4ppWin rate · 62.1% → 56.7%

Rating over time

Premier CS Rating: 19,094 -106 27 Jun – 30 Sept · 6 days played
19,09419,200peak 19,20027 Jun30 Sept
19,200Peak Premier in tracked matches
44Days played since 2026-02-25

Premier CS Rating

  • 106 below peak (19,200)
  • 0 over 30 days · steady
  • 0 over 90 days
  • Next: Pink band at 20,000 — 906 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGKingPogonaPREMIER19,094 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning63
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateLLWWWLLWLW

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · +3.0pp headshot accuracy · +12ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 549ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 554ms

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 (+3 against its own average).

Aim6.1
Utility3.4
Positioning6.3
Opening Duels3.4
Clutch0.0

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 557ms 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

Aim6.1
Positioning6.3
Utility3.4
Mechanics6.2
Opening Duels3.4
Win Impact7.2

Composite 5.6/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time550ms−42ms
first ⅓ avg 592ms → last ⅓ avg 550ms
Headshot accuracy12.7%−0.3%
first ⅓ avg 13.0% → last ⅓ avg 12.7%

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

0.19Best match rating · 13–11 · office, 30 Jun →
28%Best headshot accuracy · 13–5 · dust2, 13 May →
359msFastest reaction time · 1–9 · inferno, 17 Sept →
13–1Biggest win · anubis, 10 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 75% over 8dust2Weakest map · 50% over 22
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%0.01
cacheB189–950%0.00
mirageA138–562%0.01
nukeB105–550%-0.01
anubisS96–367%0.02
ancientB84–450%0.02
infernoB84–450%-0.01
officeS86–275%0.02
overpass—22–0100%0.09
shelter—11–0100%0.07
train—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
75%Win rate
2.30Avg K/D
91.3ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%3.6215.0
Ancient20%0.9614.5
Anubis2100%2.0814.5
Dust21100%1.5027.0

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.

13.1%Headshot accuracy
33.7%Accuracy (enemy spotted)
38.5%Spray accuracy
77.9%Counter-strafing
10.9°Preaim
557msReaction time
41.9%T opening success
45.1%CT opening success
0.53Enemies flashed / flash
7.5%Flash assists
3.84HE damage / grenade
3.07Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.1229% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0663 — below the 4 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0311%7 Oct →
dust210–13-0.0213%7 Oct →
anubis13–40.0316%24 Sept →
mirage13–5-0.037%24 Sept →
ancient13–90.0613%24 Sept →
anubis4–13-0.1017%17 Sept →
inferno1–9-0.2617%17 Sept →
dust213–20.0717%17 Sept →
cache8–13-0.0111%1 Sept →
mirage13–7-0.0314%24 Aug →
dust210–130.0216%13 Aug →
cache10–130.0416%13 Aug →
nuke8–13-0.068%21 Jul →
dust26–130.007%21 Jul →
mirage16–13-0.036%11 Jul →
anubis13–40.018%11 Jul →
dust216–120.0619%10 Jul →
nuke6–130.026%10 Jul →
anubis13–10.0611%10 Jul →
ancient3–13-0.058%10 Jul →
shelter13–110.0721%10 Jul →
office13–110.1923%30 Jun →
ancient10–13-0.0118%30 Jun →
dust216–14-0.0813%27 Jun →
nuke13–40.049%27 Jun →
ancient3–120.079%21 Jun →
inferno13–9-0.0215%21 Jun →
mirage7–130.0220%18 Jun →
overpass13–110.0712%18 Jun →
anubis13–90.0614%17 Jun →
inferno9–40.139%11 Jun →
ancient13–90.019%11 Jun →
nuke13–70.017%11 Jun →
anubis12–120.0411%10 Jun →
mirage8–130.0718%10 Jun →
dust213–80.0619%10 Jun →
inferno9–130.0117%9 Jun →
mirage13–60.1115%9 Jun →
nuke13–50.017%4 Jun →
inferno7–13-0.0015%4 Jun →
mirage13–10-0.024%3 Jun →
inferno13–70.0214%3 Jun →
mirage13–80.0313%2 Jun →
dust213–10-0.0511%2 Jun →
nuke12–12-0.0417%1 Jun →
dust212–12-0.0510%1 Jun →
inferno13–20.076%1 Jun →
cache13–70.1010%28 May →
ancient13–80.0217%28 May →
office13–11-0.0524%27 May →
anubis13–50.1019%27 May →
ancient13–30.0820%27 May →
inferno12–12-0.0214%27 May →
anubis13–70.0411%24 May →
mirage11–130.0117%24 May →
mirage13–6-0.0218%22 May →
office13–20.119%22 May →
nuke9–13-0.0418%22 May →
mirage13–90.039%22 May →
dust213–110.027%22 May →
nuke4–13-0.1314%22 May →
office13–8-0.0518%21 May →
cache2–13-0.096%21 May →
dust210–13-0.0515%21 May →
dust29–130.0111%20 May →
office13–9-0.0517%20 May →
dust213–50.0528%13 May →
dust213–50.0114%12 May →
cache8–130.0014%12 May →
cache13–10-0.0611%11 May →
dust213–80.0313%11 May →
cache13–110.0414%6 May →
cache13–110.028%6 May →
mirage12–120.0311%5 May →
nuke13–100.018%5 May →
cache8–13-0.0314%5 May →
dust27–130.0215%5 May →
cache13–20.1013%4 May →
cache12–120.0310%4 May →
cache13–60.038%4 May →
cache11–13-0.0311%4 May →
cache8–13-0.0813%3 May →
cache13–9-0.0511%29 Apr →
cache13–50.0614%29 Apr →
cache9–13-0.0116%28 Apr →
cache13–6-0.0118%28 Apr →
mirage4–13-0.069%28 Apr →
office7–130.0115%27 Apr →
dust213–3-0.0214%27 Apr →
ancient11–13-0.0212%27 Apr →
dust25–13-0.0021%21 Apr →
dust26–13-0.0413%20 Apr →
dust212–12-0.0314%11 Mar →
office13–11-0.046%7 Mar →
overpass13–20.1111%7 Mar →
train4–13-0.0115%7 Mar →
nuke13–40.0317%28 Feb →
dust20–13-0.0219%27 Feb →
dust213–90.127%25 Feb →
office12–120.0620%25 Feb →

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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