LAQMAN ENJOYER

LAQMAN ENJOYER — CS2 Stats

76561197991880711[U:1:31614983]Steam profile ↗✓ No bans

3,222Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
FaceitLevel 10 · 2,376 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,376 → 2,376
+72Tracked matches · now 3,222
−3.3ppWin rate · 53.3% → 50.0%

Rating over time

Premier CS Rating: 24,863 +3,987 30 Dec – 5 Jul · 9 days played
20,87624,863peak 24,86330 Dec5 Jul
Faceit ELO: 2,376 +0 28 Aug – 24 Sept · 10 observations
2,3762,376peak 2,37628 Aug24 Sept
24,863Peak Premier in tracked matches
2,376Highest Faceit ELO seen on CSDB
62Days played since 2025-12-30

Faceit ELO

  • At peak — 2,376
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 124 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

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.GGLAQMAN ENJOYERFACEITLevel 10 · 2,376 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,376csdb.gg/stats

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Performance scores

Aim55
Positioning54
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWWLWWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −1.9pp headshot accuracy · +68ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 617ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 614ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 580ms

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 (+2.1 against its own average).

Aim5.5
Utility6.7
Positioning5.4
Opening Duels3.6
Clutch2.8

Effective 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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 573ms 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

Aim5.5
Positioning5.4
Utility6.7
Mechanics4.6
Opening Duels3.5
Win Impact5.0

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 rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time571ms−29ms
first ⅓ avg 600ms → last ⅓ avg 571ms
Headshot accuracy20.1%−0.9%
first ⅓ avg 21.1% → last ⅓ avg 20.1%

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

0.23Best match rating · 13–1 · mirage, 31 Dec →
36%Best headshot accuracy · 9–5 · inferno, 3 Apr →
391msFastest reaction time · 3–13 · dust2, 7 Sept →
13–1Biggest win · inferno, 27 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 56% over 25dust2Weakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.03
dust2C228–1436%0.03
ancientB147–750%0.02
infernoB126–650%0.01
cacheB84–450%0.03
anubisC73–443%0.01
nuke—43–175%0.05
overpass—31–233%0.04
vertigo—20–20%-0.01
poseidon—10–10%-0.10
alpine—10–10%-0.05
office—10–10%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,425Matches
51%Win rate
1.07Avg K/D
74.5ADR
50%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage38655%0.9814.3
Anubis30154%1.0415.2
Ancient28850%1.0315.5
Dust228252%0.9714.6
Vertigo10848%1.0415.3
Nuke9764%1.1415.3
Inferno6146%0.9214.1
Overpass5852%1.0915.0

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.

19.9%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.7%Spray accuracy
70.9%Counter-strafing
11.6°Preaim
573msReaction time
40.6%T opening success
47.3%CT opening success
0.75Enemies flashed / flash
16.1%Flash assists
5.93HE damage / grenade
11.66Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0516%6 Oct →
mirage13–50.1025%5 Oct →
dust211–13-0.0515%3 Oct →
anubis13–9-0.0413%2 Oct →
mirage13–90.0727%1 Oct →
anubis9–130.0126%30 Sept →
dust213–160.0019%26 Sept →
dust26–130.0818%24 Sept →
ancient13–40.0416%23 Sept →
nuke13–9-0.0316%21 Sept →
dust211–13-0.0114%11 Sept →
mirage13–11-0.0120%10 Sept →
mirage5–13-0.0324%7 Sept →
dust23–13-0.1229%7 Sept →
anubis7–13-0.0026%3 Sept →
nuke10–130.0224%27 Aug →
mirage13–10-0.0519%26 Aug →
mirage16–14-0.037%25 Aug →
mirage6–13-0.0119%25 Aug →
cache10–130.0431%16 Aug →
anubis10–130.0425%14 Aug →
mirage11–13-0.0215%14 Aug →
mirage13–100.0418%14 Aug →
cache1–13-0.0715%20 Jul →
mirage13–100.0022%20 Jul →
mirage10–13-0.0124%16 Jul →
ancient13–8-0.016%15 Jul →
cache13–100.0319%15 Jul →
mirage13–90.0522%15 Jul →
cache13–30.1135%9 Jul →
cache9–30.1524%9 Jul →
inferno11–130.0319%9 Jul →
ancient13–80.1115%5 Jul →
ancient8–130.0416%5 Jul →
mirage13–60.0118%4 Jul →
dust212–6-0.0134%27 Jun →
inferno11–130.0223%27 Jun →
dust213–90.0016%27 Jun →
inferno13–10.1213%27 Jun →
mirage13–20.0625%27 Jun →
cache5–13-0.0724%25 Jun →
dust213–11-0.0117%25 Jun →
inferno6–130.0729%22 Jun →
overpass5–13-0.0311%22 Jun →
dust211–130.0516%22 Jun →
ancient10–13-0.049%21 Jun →
mirage3–130.0134%21 Jun →
dust213–110.0622%20 Jun →
mirage13–60.1022%20 Jun →
ancient13–30.1026%20 Jun →
cache8–130.0324%10 Jun →
cache5–00.029%10 Jun →
dust213–20.0324%9 Jun →
mirage9–130.0925%29 May →
dust210–13-0.0426%29 May →
poseidon3–9-0.1031%17 Apr →
ancient5–13-0.0432%14 Apr →
mirage6–13-0.0120%14 Apr →
dust216–12-0.0217%13 Apr →
mirage16–130.0820%13 Apr →
anubis13–110.0723%10 Apr →
dust213–60.0231%10 Apr →
inferno9–50.0836%3 Apr →
dust211–130.0814%19 Mar →
alpine0–13-0.0531%18 Mar →
vertigo4–130.0119%18 Mar →
dust216–19-0.0019%17 Mar →
mirage16–140.0117%17 Mar →
office6–130.0733%14 Mar →
vertigo6–9-0.0313%13 Mar →
mirage8–13-0.0234%13 Mar →
nuke13–50.0820%13 Mar →
inferno13–30.0418%13 Mar →
ancient8–130.0213%10 Mar →
anubis12–16-0.0314%3 Mar →
ancient13–90.0413%3 Mar →
inferno9–40.0819%1 Mar →
ancient6–13-0.0315%28 Feb →
inferno6–9-0.1117%28 Feb →
inferno4–9-0.119%28 Feb →
ancient10–130.0310%25 Feb →
dust24–130.1523%20 Feb →
anubis13–40.0125%19 Feb →
ancient5–13-0.0424%15 Feb →
dust28–130.0521%12 Feb →
inferno16–120.0014%6 Feb →
mirage25–280.0012%31 Jan →
mirage4–13-0.0432%29 Jan →
inferno13–5-0.0519%18 Jan →
mirage9–130.2028%17 Jan →
nuke13–40.1234%16 Jan →
overpass12–120.0335%15 Jan →
dust213–40.1029%15 Jan →
dust210–130.0429%15 Jan →
dust27–130.1010%14 Jan →
dust22–130.0424%31 Dec →
mirage13–10.2319%31 Dec →
overpass13–90.1129%31 Dec →
inferno3–13-0.0413%30 Dec →
ancient13–40.1531%30 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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