LAK DET SP

LAK DET SP — CS2 Stats

76561199000328858[U:1:1040063130]Steam profile ↗✓ No bans

456Tracked matches39%Win rate2025Tracked since
331Hours in CS
CSDB Rating4.9 DevelopingSupport
FaceitLevel 4 · 1,117 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,200 +5,640 3 Apr – 14 May · 20 days played
12,56018,517peak 18,5173 Apr14 May
18,517Peak Premier in tracked matches
1,117Highest Faceit ELO seen on CSDB
29Days played since 2026-04-03

Faceit ELO

  • At peak — 1,117
  • Next: Level 6 at 1,201 — 84 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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 Level 4 among CSDB-tracked players (n=14,617), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate41.1%42.7%43.8%2.7% short
Shot accuracy3.6%11.2%12.0%8.4% short
Kill/death ratio0.920.991.020.10 short
Match win rate45.1%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLAK DET SPFACEITLevel 4 · 1,117 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,117csdb.gg/stats

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Performance scores

Aim76
Positioning34
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWLLWLLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.1pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 747ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 706ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 716ms

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 (+2.4 against its own average).

Aim7.6
Utility4.8
Positioning3.4
Opening Duels0.8
Clutch0.6

Excellent counter-strafing

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; 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

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 719ms 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

Aim7.6
Positioning3.4
Utility4.8
Mechanics9.7
Opening Duels1.2
Win Impact1.4

Composite 4.9/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time728ms−35ms
first ⅓ avg 763ms → last ⅓ avg 728ms
Headshot accuracy20.6%−0.7%
first ⅓ avg 21.3% → last ⅓ avg 20.6%

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

0.14Best match rating · 13–3 · train, 4 Apr →
40%Best headshot accuracy · 13–5 · ancient, 16 Apr →
531msFastest reaction time · 13–6 · ancient, 14 May →
13–2Biggest win · mirage, 20 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 71% over 21nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.02
ancientS2115–671%-0.00
anubisC135–838%0.00
nukeD134–931%-0.03
dust2A74–357%-0.01
infernoC73–443%-0.03
vertigoA53–260%-0.02
overpassC52–340%-0.05
stronghold—20–20%-0.03
train—21–150%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,762Lifetime kills
0.92K/D
948Matches
45.1%Match win rate · Top 50% of Level 4 players
41.1%Headshot %
3.6%Shot accuracy
1,933MVPs
331Hours (in match)
487Bombs planted
140Bombs defused

Most-used weapons

Lifetime map wins

1,376inferno
868nuke
848dust2
263train
233vertigo
85office
53cbble
33italy

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

Faceit stats

Combat

155Matches
53%Win rate
0.96Avg K/D
77.3ADR
45%Headshot %

Clutches & streaks

23%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4144%0.9013.5
Ancient3557%0.9614.7
Dust21850%0.8713.9
Inferno1856%1.0816.1
Nuke1553%0.9915.2
Anubis1385%1.0414.0
Overpass933%0.9313.8
Train367%1.1717.0

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.

20.3%Headshot accuracy
36.2%Accuracy (enemy spotted)
37.2%Spray accuracy
93.7%Counter-strafing
8.5°Preaim
719msReaction time
23.0%T opening success
40.0%CT opening success
0.55Enemies flashed / flash
5.8%Flash assists
9.30HE damage / grenade
6.79Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 719.1704ms — above the 700ms mark we flag

    Aim Training →
  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 22.977% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–12-0.0319%17 Sept →
anubis13–30.0825%17 Sept →
mirage3–13-0.0220%16 Sept →
anubis5–13-0.0024%14 Sept →
nuke13–7-0.0926%14 Sept →
anubis3–13-0.0321%14 Sept →
ancient5–13-0.0213%14 Sept →
mirage13–70.0219%14 Sept →
inferno4–13-0.0417%13 Sept →
mirage13–50.0925%13 Sept →
anubis10–13-0.0114%12 Sept →
anubis7–130.0129%12 Sept →
mirage7–13-0.0619%12 Sept →
mirage10–00.0016%12 Sept →
vertigo7–13-0.0514%11 Sept →
inferno13–30.0520%14 May →
mirage13–6-0.0425%14 May →
ancient13–60.0223%14 May →
overpass5–13-0.0716%6 May →
nuke7–13-0.0520%6 May →
ancient8–13-0.0215%6 May →
ancient13–9-0.0118%4 May →
mirage2–13-0.0311%3 May →
ancient13–10-0.0010%3 May →
mirage9–13-0.0921%3 May →
nuke15–15-0.0223%27 Apr →
anubis12–16-0.0612%27 Apr →
dust213–50.0424%26 Apr →
vertigo12–12-0.0335%26 Apr →
overpass6–13-0.0636%26 Apr →
stronghold12–120.0021%26 Apr →
mirage16–14-0.0215%26 Apr →
nuke13–90.0136%26 Apr →
ancient13–6-0.0514%26 Apr →
mirage5–13-0.0212%26 Apr →
ancient5–0-0.0131%26 Apr →
nuke8–130.0438%26 Apr →
mirage10–13-0.0613%26 Apr →
ancient13–10-0.0522%26 Apr →
mirage13–7-0.0213%25 Apr →
inferno13–10-0.0218%25 Apr →
ancient13–70.0031%25 Apr →
ancient11–130.0331%23 Apr →
anubis13–30.0420%23 Apr →
mirage11–130.0015%20 Apr →
dust216–140.0221%20 Apr →
mirage13–20.0118%20 Apr →
nuke13–5-0.0428%19 Apr →
mirage11–13-0.069%19 Apr →
ancient7–13-0.0221%19 Apr →
overpass13–6-0.0319%19 Apr →
anubis5–130.0015%19 Apr →
ancient13–4-0.0313%18 Apr →
mirage13–10-0.0013%18 Apr →
ancient13–30.0721%18 Apr →
mirage13–8-0.0226%18 Apr →
mirage6–13-0.047%18 Apr →
stronghold4–13-0.0625%16 Apr →
vertigo13–5-0.0012%16 Apr →
ancient13–50.1040%16 Apr →
mirage10–13-0.048%15 Apr →
ancient8–130.0320%14 Apr →
anubis13–90.0224%14 Apr →
mirage3–13-0.1029%14 Apr →
anubis13–60.1321%14 Apr →
anubis13–6-0.0229%14 Apr →
inferno13–4-0.0324%14 Apr →
inferno2–13-0.0726%13 Apr →
ancient13–8-0.0230%13 Apr →
inferno11–13-0.0710%13 Apr →
mirage14–16-0.0324%13 Apr →
nuke11–13-0.0225%12 Apr →
ancient13–2-0.0013%12 Apr →
train3–130.0229%11 Apr →
ancient13–70.0121%11 Apr →
dust213–10-0.0519%11 Apr →
nuke7–13-0.0120%11 Apr →
mirage13–40.0916%8 Apr →
dust216–14-0.0311%8 Apr →
nuke6–13-0.0024%7 Apr →
mirage13–110.0122%7 Apr →
mirage13–40.0223%6 Apr →
ancient13–100.0117%6 Apr →
overpass13–9-0.0821%6 Apr →
overpass8–13-0.0340%6 Apr →
nuke13–9-0.0518%6 Apr →
inferno3–13-0.0319%5 Apr →
vertigo13–50.019%5 Apr →
mirage13–7-0.0315%5 Apr →
dust213–16-0.0024%5 Apr →
ancient13–6-0.0128%5 Apr →
vertigo13–100.0024%4 Apr →
nuke10–13-0.0326%4 Apr →
train13–30.1422%4 Apr →
anubis10–130.0223%4 Apr →
ancient12–12-0.0415%4 Apr →
dust27–13-0.0313%4 Apr →
nuke6–13-0.0636%3 Apr →
nuke6–13-0.0723%3 Apr →
anubis1–13-0.1318%3 Apr →

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 →

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