Ktulu7

Ktulu7 — CS2 Stats

US76561199578608054[U:1:1618342326]Steam profile ↗✓ No bans

1,061Tracked matches29%Win rate2024Tracked since
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#74223 of 259395 tracked
FaceitLevel 7 · 1,250 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,648 -1,076 13 Aug – 3 Oct · 13 days played
20,00022,235peak 22,23513 Aug3 Oct
Faceit ELO: 1,250 +0 5 Sept – 10 Sept · 2 observations
1,2501,250peak 1,2505 Sept10 Sept
22,235Peak Premier in tracked matches
1,250Highest Faceit ELO seen on CSDB
33Days played since 2026-08-13

Faceit ELO

  • At peak — 1,250
  • Next: Level 7 at 1,351 — 101 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-05
  • Level 5 first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKtulu7FACEITLevel 7 · 1,250 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,250csdb.gg/stats

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Performance scores

Aim72
Positioning73
Utility41

0–100 skill scores via Leetify.

Recent form

COLD36–54–10Last 10036%Win rateLLLLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −4.2pp headshot accuracy · −6ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 562ms

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 (+2.6 against its own average).

Aim7.2
Utility4.1
Positioning7.3
Opening Duels3.7
Clutch3.6

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

jL

Plays most like jL 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 555ms 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

Aim7.2
Positioning7.3
Utility4.1
Mechanics5.3
Opening Duels5.8
Win Impact0.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time559ms−20ms
first ⅓ avg 579ms → last ⅓ avg 559ms
Headshot accuracy14.9%+1.4%
first ⅓ avg 13.5% → last ⅓ avg 14.9%

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 · 13–1 · ancient, 15 Sept →
36%Best headshot accuracy · 6–13 · inferno, 5 Sept →
391msFastest reaction time · 13–7 · ancient, 22 Aug →
13–1Biggest win · ancient, 15 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L9Current streak
7–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 50% over 18mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B189–950%-0.02
ancientC188–1044%-0.00
nukeC145–936%-0.00
infernoD134–931%-0.03
cacheC125–742%0.01
anubisD103–730%-0.01
mirageD91–811%-0.02
officeD61–517%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

324Matches
51%Win rate
0.92Avg K/D
70.8ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5857%1.0415.2
Nuke5760%0.9414.6
Dust25538%0.8813.8
Anubis5252%0.9013.9
Inferno3033%0.7612.6
Mirage2843%0.8611.8
Overpass2462%0.9614.2
Train862%0.7912.5

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.

15.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
37.4%Spray accuracy
74.1%Counter-strafing
9.5°Preaim
555msReaction time
56.7%T opening success
49.3%CT opening success
0.62Enemies flashed / flash
3.3%Flash assists
5.85HE damage / grenade
3.00Flashes / 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 14.9591% — 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 2.995 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0022%29 Oct →
inferno8–13-0.0511%29 Oct →
inferno7–13-0.046%29 Oct →
mirage9–13-0.014%28 Oct →
dust210–13-0.0518%28 Oct →
cache7–130.0516%23 Oct →
anubis10–13-0.0413%23 Oct →
cache5–13-0.0813%21 Oct →
anubis5–13-0.0214%21 Oct →
dust213–110.0410%14 Oct →
office13–11-0.017%14 Oct →
inferno13–30.0417%13 Oct →
nuke12–12-0.0012%13 Oct →
ancient13–50.1122%8 Oct →
cache7–130.059%8 Oct →
nuke8–13-0.0316%5 Oct →
office7–13-0.0528%5 Oct →
nuke13–90.0626%3 Oct →
mirage6–13-0.0420%28 Sept →
office0–6-0.0315%28 Sept →
inferno13–7-0.0416%28 Sept →
office12–120.0826%24 Sept →
anubis11–13-0.0214%24 Sept →
anubis5–130.0622%16 Sept →
nuke7–100.0119%15 Sept →
cache13–11-0.0114%15 Sept →
dust211–130.0111%15 Sept →
ancient13–10.1610%15 Sept →
nuke11–13-0.0210%15 Sept →
dust22–13-0.069%12 Sept →
office12–120.0614%12 Sept →
anubis13–8-0.039%12 Sept →
office7–13-0.0419%10 Sept →
nuke13–50.0218%10 Sept →
dust216–14-0.0613%10 Sept →
anubis13–16-0.0313%9 Sept →
ancient11–13-0.0115%9 Sept →
ancient13–10.0619%8 Sept →
nuke8–13-0.0119%8 Sept →
inferno11–13-0.0014%8 Sept →
inferno6–13-0.0636%5 Sept →
ancient15–15-0.0311%5 Sept →
ancient13–8-0.026%5 Sept →
dust28–130.0114%5 Sept →
dust213–80.0010%5 Sept →
dust213–30.0518%4 Sept →
cache8–130.0717%4 Sept →
nuke13–80.0924%3 Sept →
dust26–13-0.0531%3 Sept →
inferno6–13-0.0321%3 Sept →
nuke13–10-0.0216%3 Sept →
dust27–13-0.0213%3 Sept →
anubis11–130.0019%3 Sept →
inferno11–13-0.039%3 Sept →
cache13–7-0.0418%1 Sept →
ancient13–5-0.046%1 Sept →
ancient1–13-0.0910%1 Sept →
inferno13–9-0.0219%1 Sept →
nuke10–13-0.0016%31 Aug →
mirage7–13-0.0511%31 Aug →
dust213–10-0.0112%31 Aug →
nuke12–12-0.0313%29 Aug →
nuke3–13-0.1413%29 Aug →
mirage11–130.0318%29 Aug →
ancient12–120.0410%29 Aug →
cache10–130.0116%28 Aug →
mirage5–13-0.0729%28 Aug →
ancient12–12-0.0223%28 Aug →
dust212–12-0.0211%27 Aug →
anubis8–20.016%27 Aug →
cache13–40.0517%27 Aug →
mirage12–12-0.018%26 Aug →
dust213–60.0519%26 Aug →
ancient13–9-0.054%25 Aug →
nuke4–13-0.0418%25 Aug →
ancient6–13-0.0710%25 Aug →
cache19–15-0.018%25 Aug →
inferno3–13-0.040%25 Aug →
nuke13–60.0615%22 Aug →
mirage3–13-0.0010%22 Aug →
ancient13–70.0110%22 Aug →
dust211–13-0.0812%22 Aug →
inferno5–13-0.0610%21 Aug →
anubis7–13-0.0418%21 Aug →
ancient8–13-0.0117%21 Aug →
ancient13–110.0521%20 Aug →
cache13–90.0325%20 Aug →
dust213–6-0.0016%20 Aug →
ancient4–13-0.0416%20 Aug →
dust213–11-0.0414%20 Aug →
mirage10–4-0.047%18 Aug →
dust213–11-0.0018%15 Aug →
ancient5–13-0.0521%15 Aug →
ancient11–130.0117%15 Aug →
mirage9–13-0.0217%15 Aug →
dust27–13-0.0212%15 Aug →
cache12–12-0.0514%15 Aug →
inferno13–8-0.0314%13 Aug →
anubis13–80.005%13 Aug →
inferno9–130.0117%13 Aug →

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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