lLukDreams

lLukDreams — CS2 Stats

DE76561198067982138[U:1:107716410]Steam profile ↗✓ No bans

196Tracked matches60%Win rate2021Tracked since
CSDB Rating2.8 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 196 tracked matches. Play, then come back: the next observation lands here.

Rating over time

15,538Peak Premier in tracked matches
33Days played since 2025-02-20

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

Performance scores

Aim13
Positioning36
Utility13

0–100 skill scores via Leetify.

Recent form

COLD47–44–9Last 10047%Win rateWLWLLLLWTT

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · −37ms reaction

Win rate down 30pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 650ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 624ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 642ms

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 (+1.8 against its own average).

Aim1.3
Utility1.3
Positioning3.6
Opening Duels0.4

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 72% 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

Reaction time. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim1.3
Positioning3.6
Utility1.3
Mechanics4.2
Opening Duels0.0
Win Impact8.3

Composite 2.8/10 (Learning), 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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time685ms−29ms
first ⅓ avg 714ms → last ⅓ avg 685ms
Headshot accuracy9.1%−1.9%
first ⅓ avg 11.0% → last ⅓ avg 9.1%

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

0.11Best match rating · 13–8 · dust2, 27 Feb →
27%Best headshot accuracy · 13–7 · mirage, 26 Feb →
516msFastest reaction time · 9–13 · train, 2 Aug →
13–1Biggest win · edin, 2 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 59% over 17nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B3416–1847%-0.03
mirageA1710–759%-0.02
ancientB115–645%-0.04
trainB84–450%-0.05
anubisB63–350%-0.01
nukeD51–420%-0.02
vertigoC52–340%-0.05
inferno—41–325%-0.04
italy—21–150%-0.08
office—21–150%-0.05
overpass—21–150%-0.05
agency—11–0100%-0.08
jura—10–10%-0.06
edin—11–0100%-0.03
basalt—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
50%Win rate
0.74Avg K/D
—ADR
23%Headshot %

Clutches & streaks

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

Recent Faceit resultsLWLWL

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.

8.8%Headshot accuracy
25.5%Accuracy (enemy spotted)
25.9%Spray accuracy
69.0%Counter-strafing
13.4°Preaim
669msReaction time
28.1%T opening success
27.3%CT opening success
0.59Enemies flashed / flash
4.5%Flash assists
11.47HE damage / grenade
5.52Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3952° — above the 12° mark we flag

    Aim Training →
  2. 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 8.792% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.029%11 May →
mirage4–130.0215%9 May →
mirage13–11-0.027%3 Aug →
italy3–13-0.073%3 Aug →
train8–13-0.0214%3 Aug →
inferno10–13-0.0017%2 Aug →
train9–13-0.078%2 Aug →
agency13–4-0.0814%2 Aug →
jura12–12-0.0614%2 Aug →
dust212–120.023%27 Jul →
nuke12–12-0.047%27 Jul →
ancient13–5-0.0223%27 Jul →
dust212–12-0.0810%27 Jul →
dust213–9-0.078%26 Jul →
mirage13–9-0.0913%26 Jul →
train13–4-0.023%19 Jul →
dust210–13-0.076%19 Jul →
dust213–3-0.057%11 Jul →
office9–13-0.046%11 Jul →
inferno13–9-0.047%11 Jul →
mirage13–11-0.068%3 May →
anubis13–5-0.080%3 May →
vertigo13–3-0.0514%2 May →
edin13–1-0.038%2 May →
mirage4–13-0.0612%2 May →
nuke13–5-0.064%2 May →
dust212–12-0.037%21 Apr →
italy13–2-0.1013%21 Apr →
dust211–13-0.117%21 Apr →
overpass1–13-0.070%15 Apr →
overpass13–2-0.0310%15 Apr →
ancient12–12-0.049%15 Apr →
dust213–7-0.0118%15 Apr →
dust213–30.0320%15 Apr →
ancient13–9-0.0611%14 Apr →
vertigo2–13-0.070%14 Apr →
mirage2–13-0.0616%14 Apr →
basalt9–13-0.054%13 Apr →
train13–10-0.115%12 Apr →
ancient13–9-0.0410%12 Apr →
office13–10-0.066%12 Apr →
ancient5–13-0.029%12 Apr →
inferno12–12-0.110%12 Apr →
dust213–7-0.0113%12 Apr →
dust21–13-0.0514%12 Apr →
nuke7–130.013%11 Apr →
dust213–90.038%6 Apr →
anubis13–4-0.010%6 Apr →
ancient13–2-0.064%6 Apr →
train11–13-0.067%6 Apr →
ancient0–13-0.086%6 Apr →
dust27–13-0.059%6 Apr →
vertigo5–13-0.0512%6 Apr →
train13–5-0.037%5 Apr →
mirage12–120.001%5 Apr →
nuke3–130.0319%5 Apr →
anubis2–130.039%5 Apr →
dust213–7-0.037%5 Apr →
dust26–13-0.022%5 Apr →
dust213–3-0.058%4 Apr →
train9–13-0.0614%4 Apr →
dust22–13-0.0110%16 Mar →
mirage3–130.0210%16 Mar →
dust24–13-0.054%15 Mar →
dust211–13-0.0111%15 Mar →
mirage13–70.0111%15 Mar →
anubis10–13-0.0420%15 Mar →
mirage5–130.007%14 Mar →
dust212–12-0.062%8 Mar →
ancient10–13-0.036%6 Mar →
ancient8–13-0.0212%5 Mar →
anubis13–40.092%5 Mar →
ancient13–5-0.0212%4 Mar →
mirage13–5-0.0010%3 Mar →
vertigo2–13-0.0611%3 Mar →
dust27–13-0.068%3 Mar →
dust27–13-0.0116%28 Feb →
dust213–5-0.0312%28 Feb →
train13–9-0.0712%28 Feb →
inferno7–13-0.0013%28 Feb →
ancient6–13-0.0211%27 Feb →
dust213–80.1112%27 Feb →
dust213–8-0.0716%27 Feb →
dust26–13-0.0921%26 Feb →
dust211–13-0.035%26 Feb →
mirage13–70.0027%26 Feb →
anubis2–13-0.0520%26 Feb →
dust25–13-0.074%26 Feb →
vertigo13–5-0.0113%26 Feb →
mirage13–3-0.0017%23 Feb →
dust29–13-0.077%23 Feb →
mirage13–80.0216%23 Feb →
dust213–4-0.0113%23 Feb →
dust213–4-0.018%23 Feb →
mirage2–13-0.095%23 Feb →
nuke9–13-0.0718%23 Feb →
dust213–80.0415%23 Feb →
mirage13–4-0.030%22 Feb →
mirage13–6-0.095%22 Feb →
dust213–5-0.028%20 Feb →

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.