Ketsemani

Ketsemani — CS2 Stats

FI76561198861767574[U:1:901501846]Steam profile ↗✓ No bans

442Tracked matches57%Win rate2020Tracked since
1,751Hours in CS17Hrs last 2 wks
CSDB Rating7.9 StrongPositional Player
Premier CS Rating22,602Top 25% of 204,793 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#46792 of 251973 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,602 -1,341 15 Feb – 12 Oct · 30 days played
20,37624,334peak 24,33415 Feb12 Oct
24,475Peak Premier in tracked matches
42Days played since 2026-02-15

Premier CS Rating

  • 1,732 below peak (24,334)
  • Next: Red band at 25,000 — 2,398 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate42.8%46.9%49.3%6.5% short
Shot accuracy19.4%13.0%13.4%above
Kill/death ratio1.271.081.12above
Match win rate37.2%46.7%48.5%11.3% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. 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.

Share this profile

CSDB.GGKetsemaniPREMIER22,602 · Pink bandcsdb.gg/stats

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Performance scores

Aim95
Positioning66
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWLWWWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.5pp headshot accuracy · −20ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 29%
  • Avg reaction 545ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 513ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 522ms

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 (+0.9 against its own average).

Aim9.5
Utility5.0
Positioning6.6
Opening Duels5.2
Clutch6.0

Sharp aimerExcellent counter-strafingEffective flashesLimited 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 90% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

T openings. 69% T opening-duel success — entries that actually open the round.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

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

CT openings. Opening success drops from 69% on T to 50% on CT — first contacts on the defending side are being lost.

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

Aim9.5
Positioning6.6
Utility5.0
Mechanics8.9
Opening Duels7.3
Win Impact7.2

Composite 7.9/10 (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

Match rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time530ms−22ms
first ⅓ avg 552ms → last ⅓ avg 530ms
Headshot accuracy23.7%+7.7%
first ⅓ avg 16.0% → last ⅓ avg 23.7%

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

0.13Best match rating · 13–4 · cache, 21 Sept →
44%Best headshot accuracy · 6–13 · nuke, 11 Oct →
289msFastest reaction time · 0–7 · mirage, 12 Oct →
11–0Biggest win · mirage, 10 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC3715–2241%0.01
dust2A2514–1156%0.01
infernoD113–827%0.02
cacheB105–550%0.02
nukeS96–367%0.03
anubis—42–250%0.00
ancient—41–325%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,507Lifetime kills
1.27K/D · Top 25% of Pink band
3,316Matches
37.2%Match win rate
42.8%Headshot %
19.4%Shot accuracy · Top 5% of Pink band
7,955MVPs
1,301Hours (in match)
1,671Bombs planted
666Bombs defused

Most-used weapons

Lifetime map wins

2,045dust2
1,541inferno
1,382train
676nuke
269lake
191vertigo
38cbble
23safehouse

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

Faceit stats

Combat

95Matches
58%Win rate
1.48Avg K/D
91.3ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Cache425%1.3019.5
Dust22100%2.4720.5
Mirage1100%1.8815.0

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.

23.2%Headshot accuracy
41.9%Accuracy (enemy spotted)
44.9%Spray accuracy
90.1%Counter-strafing
7.7°Preaim
535msReaction time
68.9%T opening success
49.5%CT opening success
0.75Enemies flashed / flash
4.7%Flash assists
8.21HE damage / grenade
3.51Flashes / 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

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

    Flashes per match 3.5144 — below the 4 mark we flag

    Grenade Lineups →
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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0422%14 Oct →
cache14–16-0.0117%14 Oct →
dust213–70.0838%13 Oct →
cache13–80.0625%13 Oct →
dust213–30.0843%13 Oct →
cache7–13-0.0122%12 Oct →
cache11–130.0327%12 Oct →
mirage0–7-0.0913%12 Oct →
dust211–13-0.0123%12 Oct →
nuke13–110.0721%11 Oct →
mirage13–110.0519%11 Oct →
nuke6–13-0.0144%11 Oct →
mirage16–120.0517%10 Oct →
dust213–70.0219%10 Oct →
mirage13–100.0431%10 Oct →
mirage1–130.0224%10 Oct →
mirage8–130.0421%9 Oct →
mirage10–13-0.019%9 Oct →
nuke9–13-0.0110%8 Oct →
dust213–90.0211%1 Oct →
anubis8–13-0.0638%1 Oct →
cache13–3-0.0119%1 Oct →
inferno9–130.0116%22 Sept →
cache13–40.1332%21 Sept →
mirage11–130.0229%21 Sept →
nuke13–70.0732%21 Sept →
nuke13–80.0618%18 Sept →
dust213–110.0227%5 Jun →
dust213–40.0223%26 May →
cache13–8-0.0516%26 May →
mirage13–40.0922%25 May →
cache13–40.0723%25 May →
cache10–130.0433%25 May →
mirage8–130.0323%23 May →
cache6–13-0.0021%23 May →
mirage15–150.0231%19 Apr →
dust210–130.0139%19 Apr →
anubis16–14-0.0127%19 Apr →
inferno13–100.0213%19 Apr →
dust27–13-0.0920%15 Apr →
mirage13–10-0.0135%15 Apr →
ancient7–13-0.046%15 Apr →
mirage13–6-0.0428%10 Apr →
dust25–10.0811%10 Apr →
mirage13–8-0.0323%10 Apr →
mirage11–00.0240%10 Apr →
inferno10–130.0123%2 Apr →
mirage6–13-0.0715%31 Mar →
inferno13–70.059%31 Mar →
mirage10–13-0.0313%25 Mar →
inferno5–120.0213%25 Mar →
inferno4–9-0.0724%25 Mar →
dust213–110.0619%21 Mar →
mirage3–130.0513%21 Mar →
mirage2–130.0014%21 Mar →
inferno11–13-0.0010%21 Mar →
ancient13–9-0.0114%21 Mar →
mirage2–130.0129%20 Mar →
mirage9–13-0.0617%19 Mar →
inferno13–70.0920%19 Mar →
dust213–50.0417%18 Mar →
dust28–13-0.0111%18 Mar →
dust26–13-0.0425%18 Mar →
mirage8–130.0321%18 Mar →
nuke13–60.1021%18 Mar →
mirage11–130.0114%17 Mar →
mirage16–12-0.0012%16 Mar →
dust21–13-0.056%16 Mar →
mirage7–130.0025%16 Mar →
mirage11–13-0.0419%16 Mar →
nuke13–8-0.023%15 Mar →
mirage11–130.0919%14 Mar →
mirage13–11-0.0114%13 Mar →
dust29–13-0.066%13 Mar →
mirage5–130.0323%12 Mar →
anubis13–50.1021%12 Mar →
dust216–13-0.0011%11 Mar →
mirage13–80.0220%11 Mar →
dust213–10-0.0411%11 Mar →
dust24–130.0217%10 Mar →
mirage7–13-0.0229%10 Mar →
dust28–130.0130%9 Mar →
nuke11–130.0112%9 Mar →
nuke13–10-0.0122%8 Mar →
ancient5–13-0.0420%8 Mar →
mirage13–10-0.0110%7 Mar →
dust25–13-0.0515%7 Mar →
inferno11–130.0511%7 Mar →
anubis10–13-0.0211%7 Mar →
mirage3–130.0312%4 Mar →
mirage13–16-0.0112%4 Mar →
mirage13–9-0.0315%4 Mar →
mirage13–4-0.0328%4 Mar →
inferno2–130.0221%23 Feb →
dust213–60.0219%22 Feb →
dust29–130.038%22 Feb →
inferno5–130.0216%21 Feb →
ancient9–130.0111%21 Feb →
dust216–140.0313%20 Feb →
dust216–12-0.0520%15 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
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.