KENGOG

KENGOG — CS2 Stats

76561198180222221[U:1:219956493]Steam profile ↗✓ No bans

326Tracked matches60%Win rate2020Tracked since
450Hours in CS2Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,398 -1,189 25 Dec – 18 Jan · 3 days played
6,3987,587peak 7,58725 Dec18 Jan
7,646Peak Premier in tracked matches
31Days played since 2024-12-23

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches14——
Win rate50%——
K/D0.86——
Headshot %55%——

Measured 13 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,013), 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.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate39.5%41.3%41.8%2.3% short
Shot accuracy19.3%12.7%12.2%above
Kill/death ratio1.090.950.98above
Match win rate35.6%42.6%43.3%7.7% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKENGOGFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim47
Positioning36
Utility14

0–100 skill scores via Leetify.

Recent form

COLD55–42–3Last 10055%Win rateWWLLLLWLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −6.4pp headshot accuracy · −54ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 533ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 530ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 557ms

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 (+1.9 against its own average).

Aim4.7
Utility1.4
Positioning3.6
Opening Duels0.0

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 637ms 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

Aim4.7
Positioning3.6
Utility1.4
Mechanics5.1
Opening Duels0.7
Win Impact8.3

Composite 4.0/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time606ms−101ms
first ⅓ avg 707ms → last ⅓ avg 606ms
Headshot accuracy17.7%+2.3%
first ⅓ avg 15.4% → last ⅓ avg 17.7%

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

0.10Best match rating · 13–6 · inferno, 1 Jan →
54%Best headshot accuracy · 13–4 · nuke, 30 May →
383msFastest reaction time · 1–13 · inferno, 11 Oct →
13–1Biggest win · cache, 16 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 71% over 7infernoWeakest map · 48% over 25
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%-0.04
mirageB2512–1348%-0.04
dust2A127–558%-0.04
ancientS128–467%-0.03
anubisA106–460%-0.03
overpassS75–271%-0.03
nuke—42–250%-0.03
vertigo—21–150%-0.06
cache—11–0100%0.07
office—10–10%-0.07
italy—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,282Lifetime kills
1.09K/D · Top 25% of Level 2 players
1,410Matches
35.6%Match win rate
39.5%Headshot %
19.3%Shot accuracy · Top 10% of Level 2 players
1,261MVPs
275Hours (in match)
637Bombs planted
96Bombs defused

Most-used weapons

Lifetime map wins

1,020inferno
629dust2
245nuke
182vertigo
150office
93train
88lake
68safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

6Matches
17%Win rate
0.46Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

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.

19.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
32.2%Spray accuracy
72.8%Counter-strafing
11.0°Preaim
637msReaction time
33.6%T opening success
31.7%CT opening success
0.33Enemies flashed / flash
5.2%Flash assists
1.83HE damage / grenade
3.11Flashes / 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 0.329 — 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 33.5635% — below the 40% mark we flag

Spend your practice time on Inferno

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

48% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0517%15 Oct →
dust213–9-0.018%15 Oct →
inferno4–13-0.094%15 Oct →
dust26–13-0.0829%29 Sept →
mirage0–2-0.010%27 Sept →
inferno10–130.000%23 Sept →
mirage13–4-0.0713%23 Sept →
mirage12–16-0.115%23 Sept →
mirage11–13-0.0442%16 Sept →
dust28–13-0.0618%16 Sept →
mirage13–7-0.0830%16 Sept →
cache13–10.0717%16 Sept →
inferno13–30.0012%16 Sept →
ancient13–10.0113%16 Sept →
anubis13–2-0.0333%16 Sept →
dust213–11-0.1032%27 Aug →
anubis13–4-0.027%26 Aug →
anubis13–30.0018%22 Aug →
mirage9–13-0.1119%22 Aug →
ancient9–130.0118%4 Jun →
inferno3–13-0.0624%4 Jun →
overpass13–20.0513%30 May →
inferno13–10-0.116%30 May →
mirage13–5-0.0314%30 May →
anubis13–3-0.039%30 May →
ancient13–4-0.1027%30 May →
nuke13–4-0.0954%30 May →
dust213–50.0128%15 Apr →
dust25–10-0.0417%15 Apr →
dust26–13-0.0518%15 Apr →
inferno8–13-0.0812%11 Apr →
mirage4–13-0.0015%11 Apr →
dust25–3-0.0313%11 Apr →
vertigo10–13-0.0313%18 Jan →
ancient13–4-0.0213%18 Jan →
nuke12–12-0.0118%18 Jan →
overpass13–11-0.0413%1 Jan →
dust213–5-0.068%1 Jan →
inferno3–13-0.100%1 Jan →
ancient13–50.0916%1 Jan →
inferno13–60.1012%1 Jan →
nuke6–13-0.0417%6 Dec →
ancient13–10-0.0511%6 Dec →
dust213–10-0.0210%6 Dec →
mirage13–10-0.0317%6 Dec →
dust29–13-0.0311%4 Dec →
nuke13–80.0317%4 Dec →
overpass7–13-0.0814%4 Dec →
inferno9–13-0.0112%4 Dec →
mirage8–13-0.0913%4 Dec →
office5–13-0.0726%4 Dec →
ancient13–40.0526%4 Dec →
mirage13–40.0114%30 Nov →
mirage13–11-0.0211%30 Nov →
inferno13–8-0.056%30 Nov →
inferno13–30.107%30 Nov →
dust213–11-0.0315%16 Nov →
mirage13–4-0.0019%16 Nov →
mirage5–13-0.0522%11 Oct →
inferno1–13-0.0910%11 Oct →
inferno13–16-0.0216%10 Aug →
overpass8–130.0030%10 Aug →
inferno3–13-0.094%4 May →
inferno5–13-0.0731%3 May →
ancient7–13-0.097%3 May →
mirage13–80.0017%3 May →
inferno13–3-0.0214%27 Apr →
mirage13–3-0.0430%27 Apr →
anubis3–1-0.060%27 Apr →
inferno9–3-0.0515%15 Mar →
mirage13–7-0.0014%15 Mar →
ancient13–6-0.0414%15 Mar →
anubis3–5-0.045%27 Feb →
mirage13–5-0.0735%27 Feb →
italy13–8-0.058%31 Jan →
overpass7–4-0.130%31 Jan →
inferno13–11-0.0432%18 Jan →
mirage0–13-0.0528%18 Jan →
ancient9–13-0.052%18 Jan →
inferno11–13-0.048%18 Jan →
vertigo13–11-0.0912%18 Jan →
anubis9–13-0.0220%18 Jan →
mirage13–20.0519%18 Jan →
inferno12–12-0.0231%18 Jan →
mirage7–13-0.0414%29 Dec →
inferno10–13-0.0717%29 Dec →
ancient13–10-0.105%29 Dec →
mirage9–13-0.1115%29 Dec →
overpass13–3-0.0115%28 Dec →
anubis13–80.0115%28 Dec →
inferno13–8-0.0413%28 Dec →
mirage7–130.0323%28 Dec →
anubis7–13-0.0516%25 Dec →
overpass13–7-0.016%23 Dec →
mirage3–13-0.0327%23 Dec →
inferno13–4-0.0311%23 Dec →
ancient4–13-0.038%23 Dec →
anubis8–13-0.0119%23 Dec →
mirage12–12-0.0615%23 Dec →
inferno13–8-0.0215%23 Dec →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.