LØEKUP

LØEKUP — CS2 Stats

76561197992669101[U:1:32403373]Steam profile ↗✓ No bans

3,061Tracked matches53%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating17,760Purple band · top ~17.4% of ranked players (population est.)
FaceitLevel 7 · 1,792 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,760 → 17,760
0Faceit ELO · 1,792 → 1,792
+11Tracked matches · now 3,061
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 17,760 +509 10 May – 13 Sept · 3 days played
17,25117,760peak 17,76010 May13 Sept
17,760Peak Premier in tracked matches
1,792Highest Faceit ELO seen on CSDB
36Days played since 2024-05-10

Faceit ELO

  • At peak — 1,792
  • Next: Level 10 at 2,001 — 209 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-13
  • Level 8 first seen 2026-09-13

Premier CS Rating

  • At peak — 17,760
  • Next: Pink band at 20,000 — 2,240 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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.GGLØEKUPFACEITLevel 7 · 1,792 ELOSTANDINGTop 42.3% of rankedPREMIER17,760 · Purple bandPEAK ELO1,792csdb.gg/stats

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Performance scores

Aim59
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43–57Last 10043%Win rateWWLWLWLLWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +3.5pp headshot accuracy · +13ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 660ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 669ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 663ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim5.9
Utility5.1
Positioning4.1
Opening Duels0.9
Clutch3.4

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 86% 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

T-side openings. Opening success drops from 45% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms 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

Aim5.9
Positioning4.1
Utility5.1
Mechanics7.6
Opening Duels1.9
Win Impact6.1

Composite 5.3/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time635ms+3ms
first ⅓ avg 632ms → last ⅓ avg 635ms
Headshot accuracy22.0%+2.6%
first ⅓ avg 19.5% → last ⅓ avg 22.0%

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

0.12Best match rating · 13–6 · mirage, 7 Jul →
39%Best headshot accuracy · 4–13 · vertigo, 23 Jun →
406msFastest reaction time · 16–14 · mirage, 11 May →
13–4Biggest win · vertigo, 26 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 56% over 9ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%-0.01
anubisC2410–1442%-0.03
ancientD144–1029%-0.04
vertigoB136–746%-0.02
trainA95–456%-0.02
cacheB63–350%-0.04
inferno—42–250%-0.02
overpass—21–150%-0.01
nuke—20–20%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,961Matches
50%Win rate
0.94Avg K/D
67.0ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis9450%0.8914.0
Mirage9348%0.9114.4
Vertigo4951%0.9313.6
Ancient4243%0.7712.6
Overpass3647%0.8713.7
Inferno1741%0.6611.8
Cache1547%0.8213.3
Nuke1225%0.9113.4

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.

22.6%Headshot accuracy
29.4%Accuracy (enemy spotted)
28.1%Spray accuracy
84.2%Counter-strafing
10.0°Preaim
636msReaction time
18.2%T opening success
45.2%CT opening success
0.72Enemies flashed / flash
14.2%Flash assists
13.45HE damage / grenade
10.81Flashes / 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. 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 18.2217% — below the 40% mark we flag

Spend your practice time on Ancient

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 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0225%6 Sept →
anubis13–7-0.0215%23 Aug →
cache9–13-0.0826%17 Jun →
cache13–70.0122%17 Jun →
cache14–16-0.0723%15 May →
cache13–10-0.0629%15 May →
ancient13–160.0237%10 May →
cache17–19-0.0215%10 May →
cache13–8-0.0020%10 May →
overpass13–70.0115%27 Oct →
ancient13–60.0413%27 Oct →
mirage13–10-0.0022%27 Oct →
overpass7–13-0.0317%12 Oct →
inferno7–13-0.0621%27 Jul →
inferno7–13-0.0320%15 Jun →
ancient10–13-0.0516%15 Jun →
anubis13–9-0.059%15 Jun →
mirage21–25-0.0133%15 Jun →
train13–7-0.0118%15 Jun →
nuke5–13-0.0424%15 Jun →
anubis13–5-0.0414%15 Jun →
mirage16–140.0018%11 May →
anubis5–13-0.0430%11 May →
ancient13–11-0.0222%11 May →
inferno13–90.0432%5 May →
train8–13-0.0825%4 May →
mirage8–13-0.0530%26 Apr →
mirage13–100.0125%21 Apr →
train13–11-0.0117%21 Apr →
train2–13-0.0535%21 Apr →
anubis13–9-0.0618%21 Apr →
mirage13–60.0119%21 Apr →
mirage13–7-0.0521%21 Apr →
anubis13–70.0123%21 Apr →
mirage11–13-0.0419%21 Apr →
mirage12–160.0118%10 Mar →
anubis10–13-0.0514%10 Mar →
vertigo13–7-0.0018%11 Jan →
anubis13–8-0.0012%11 Jan →
train10–13-0.0223%11 Jan →
ancient9–130.0217%11 Jan →
mirage9–13-0.0424%5 Jan →
mirage13–70.0323%2 Jan →
train13–70.0414%2 Jan →
nuke9–130.0015%17 Nov →
train11–13-0.0424%17 Nov →
ancient10–13-0.1019%17 Nov →
anubis8–13-0.0328%17 Nov →
train13–9-0.0220%17 Nov →
train13–70.0127%17 Nov →
vertigo10–13-0.0817%28 Sept →
mirage10–13-0.0523%28 Sept →
ancient7–13-0.0916%18 Aug →
anubis7–13-0.1127%18 Aug →
anubis10–13-0.0022%18 Aug →
mirage13–60.0324%29 Jul →
mirage9–13-0.0510%24 Jul →
vertigo8–130.0223%21 Jul →
vertigo13–9-0.0011%21 Jul →
mirage13–160.0026%21 Jul →
vertigo13–60.0925%21 Jul →
anubis13–11-0.0422%21 Jul →
mirage4–13-0.0810%7 Jul →
ancient13–70.0121%7 Jul →
mirage13–60.1217%7 Jul →
vertigo5–13-0.0716%7 Jul →
anubis14–16-0.0124%7 Jul →
anubis13–50.0126%7 Jul →
vertigo6–13-0.0613%7 Jul →
vertigo4–13-0.0439%23 Jun →
mirage9–13-0.0619%23 Jun →
anubis13–160.0324%23 Jun →
anubis13–100.0026%23 Jun →
ancient8–13-0.0915%23 Jun →
anubis8–13-0.0426%22 Jun →
vertigo13–8-0.056%22 Jun →
ancient11–13-0.0520%22 Jun →
mirage8–13-0.107%2 Jun →
vertigo6–13-0.0828%2 Jun →
mirage10–13-0.0622%31 May →
vertigo13–7-0.0320%31 May →
ancient3–13-0.0718%31 May →
anubis11–130.0117%31 May →
mirage13–50.0115%30 May →
anubis8–13-0.0514%29 May →
vertigo9–13-0.0713%29 May →
mirage13–90.0023%29 May →
anubis8–13-0.0133%26 May →
anubis13–8-0.0413%26 May →
ancient13–80.0222%26 May →
mirage13–80.0925%26 May →
mirage8–13-0.0317%26 May →
vertigo13–40.0927%26 May →
ancient11–13-0.0510%20 May →
ancient3–13-0.080%12 May →
anubis6–13-0.0818%12 May →
mirage8–10.0321%12 May →
anubis6–13-0.0321%12 May →
mirage2–13-0.0920%11 May →
anubis7–13-0.0424%10 May →

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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