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Ktulu #GSU

Ktulu #GSU — CS2 Stats

76561198019235871[U:1:58970143]Steam profile ↗

3,116Tracked matches43%Win rate2020Tracked since
CSDB Rating4.4 Developing
Premier CS Rating12,540Blue band · top ~41.4% of ranked players (population est.)
CSDB Leaderboard#18681 of 26992 tracked
FaceitLevel 5 · 1,075 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKtulu #GSUFACEITLevel 5 · 1,075 ELOSTANDINGTop 67.6% of rankedPREMIER12,540 · Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning47
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLWWWLWLWLL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim5.7
Aggression6.3
Utility5.4
Positioning4.7
Opening Duels2.4
Clutch2.8

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.7
Positioning4.7
Utility5.4
Mechanics4.4
Opening Duels2.6
Win Impact2.8

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time635ms−28ms
first ⅓ avg 663ms → last ⅓ avg 635ms
Headshot accuracy21.2%+1.0%
first ⅓ avg 20.2% → last ⅓ avg 21.2%

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

0.22Best rating — inferno 13–2
13–1Biggest win — cache
8Longest win streak
8–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 75% over 12nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B4019–2148%-0.01
mirageC197–1237%-0.00
infernoS129–375%0.04
cacheC114–736%-0.01
nukeD72–529%-0.02
anubisB63–350%-0.01
ancient—41–325%-0.05
overpass—10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

953Matches
49%Win rate
1.02Avg K/D
77.9ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust24652%0.9414.8
Inferno4144%0.8914.7
Mirage2540%0.9114.1
Nuke1656%0.9013.6
Ancient1164%0.9514.4
Anubis862%1.1814.9
Train475%1.1919.3
Overpass333%0.9314.7

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.

21.6%Headshot accuracy
29.7%Accuracy (enemy spotted)
37.3%Spray accuracy
70.0%Counter-strafing
9.3°Preaim
635msReaction time
28.8%T opening success
50.6%CT opening success
0.48Enemies flashed / flash
6.5%Flash assists
7.73HE damage / grenade
10.54Flashes / 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 0.4769 — 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 28.7944% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0220%24 Aug →
nuke13–110.0110%24 Aug →
dust213–90.0117%24 Aug →
anubis13–80.0521%24 Aug →
dust22–13-0.0726%24 Aug →
dust213–110.0523%17 Aug →
dust22–13-0.0512%17 Aug →
dust29–6-0.0225%17 Aug →
cache10–13-0.0122%15 Aug →
cache3–13-0.1115%15 Aug →
dust213–20.1715%15 Aug →
inferno13–90.1133%3 Aug →
nuke7–13-0.0540%3 Aug →
dust213–100.0417%3 Aug →
nuke11–13-0.0320%3 Aug →
dust210–13-0.0417%3 Aug →
anubis10–13-0.0722%3 Aug →
anubis6–13-0.0311%2 Aug →
dust210–13-0.0633%1 Aug →
dust26–13-0.0829%1 Aug →
dust25–13-0.0547%1 Aug →
dust213–20.1436%1 Aug →
inferno13–9-0.0528%1 Aug →
nuke13–70.0719%31 Jul →
mirage13–50.029%30 Jul →
cache9–13-0.038%30 Jul →
mirage14–16-0.0314%28 Jul →
mirage6–13-0.049%28 Jul →
anubis13–7-0.0124%27 Jul →
dust28–130.0532%27 Jul →
dust216–130.0415%27 Jul →
mirage9–130.0318%26 Jul →
cache12–16-0.0513%26 Jul →
dust211–130.0416%26 Jul →
dust21–13-0.0921%25 Jul →
cache4–13-0.0819%25 Jul →
mirage13–6-0.0111%24 Jul →
dust213–90.0117%24 Jul →
mirage13–8-0.0223%23 Jul →
inferno13–40.0215%23 Jul →
dust213–30.0420%23 Jul →
mirage13–6-0.0814%23 Jul →
dust216–140.0216%22 Jul →
inferno13–90.0722%22 Jul →
ancient4–13-0.0424%21 Jul →
mirage11–130.0512%21 Jul →
cache13–50.0213%21 Jul →
inferno13–50.0617%21 Jul →
dust213–90.0221%21 Jul →
mirage13–70.0314%21 Jul →
anubis8–13-0.0718%20 Jul →
dust210–13-0.0326%20 Jul →
dust213–10-0.1012%20 Jul →
nuke9–13-0.0116%20 Jul →
cache13–40.0327%20 Jul →
ancient6–13-0.0622%19 Jul →
dust213–7-0.0425%19 Jul →
anubis13–30.0512%19 Jul →
dust213–80.037%19 Jul →
mirage9–13-0.059%15 Jul →
ancient13–11-0.0224%15 Jul →
inferno13–8-0.0419%15 Jul →
mirage7–13-0.047%10 Jul →
cache13–30.0620%10 Jul →
dust213–11-0.0225%10 Jul →
mirage14–160.0331%9 Jul →
cache13–10.0423%9 Jul →
inferno13–60.0316%9 Jul →
dust22–13-0.0523%9 Jul →
cache7–13-0.0612%8 Jul →
cache7–130.0622%7 Jul →
nuke11–13-0.0513%7 Jul →
dust213–11-0.0119%7 Jul →
overpass10–130.0215%6 Jul →
inferno10–130.0214%6 Jul →
mirage13–11-0.0513%3 Jul →
ancient9–13-0.0915%1 Jul →
mirage6–13-0.0526%1 Jul →
dust213–6-0.0119%1 Jul →
inferno13–110.0317%1 Jul →
dust213–7-0.029%28 Jun →
dust25–13-0.1113%28 Jun →
dust210–13-0.0534%28 Jun →
mirage8–13-0.096%26 Jun →
dust27–13-0.0323%26 Jun →
mirage9–130.0529%26 Jun →
inferno13–20.2222%26 Jun →
nuke5–13-0.0420%21 Jun →
dust213–90.0421%21 Jun →
dust210–130.0031%21 Jun →
dust210–13-0.0317%21 Jun →
dust24–13-0.0515%21 Jun →
mirage12–160.1135%18 Jun →
dust29–130.0135%18 Jun →
dust24–13-0.0331%18 Jun →
dust26–13-0.0119%17 Jun →
mirage13–9-0.0320%17 Jun →
inferno15–15-0.0726%12 Jun →
dust214–16-0.0216%11 Jun →
mirage10–130.0621%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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