Master Ly

Master Ly — CS2 Stats

AU76561197991661500[U:1:31395772]Steam profile ↗✓ No bans

3,163Tracked matches37%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating19,454Top 50% of 204,219 CSDB-tracked playersPurple band · top ~10.7% of ranked players (population est.)
CSDB Leaderboard#90072 of 251312 tracked
FaceitLevel 8 · 1,534 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,454 -277 19 Jul – 9 Oct · 7 days played
19,45419,847peak 19,84719 Jul9 Oct
Faceit ELO: 1,534 +0 28 Aug – 24 Sept · 5 observations
1,5341,534peak 1,53428 Aug24 Sept
19,847Peak Premier in tracked matches
1,534Highest Faceit ELO seen on CSDB
53Days played since 2026-04-24

Faceit ELO

  • At peak — 1,534
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 217 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier CS Rating

  • 393 below peak (19,847)
  • -149 over 30 days · steady
  • -277 over 90 days
  • Next: Pink band at 20,000 — 546 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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.GGMaster LyFACEITLevel 8 · 1,534 ELOSTANDINGTop 31.2% of rankedPREMIER19,454 · Purple band30 DAYS0 ELOPEAK ELO1,534csdb.gg/stats

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Performance scores

Aim83
Positioning54
Utility36

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLLWLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.8pp headshot accuracy · +2ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 542ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 519ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 518ms

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).

Aim8.3
Utility3.6
Positioning5.4
Opening Duels2.0
Clutch3.4

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

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

Aim8.3
Positioning5.4
Utility3.6
Mechanics5.0
Opening Duels3.0
Win Impact0.6

Composite 5.2/10 (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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time554ms−8ms
first ⅓ avg 562ms → last ⅓ avg 554ms
Headshot accuracy23.7%+2.6%
first ⅓ avg 21.1% → last ⅓ avg 23.7%

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 · 7–13 · dust2, 27 May →
45%Best headshot accuracy · 13–6 · ancient, 27 Aug →
406msFastest reaction time · 3–13 · inferno, 25 Sept →
13–3Biggest win · anubis, 24 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
13–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 83% over 6cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D268–1831%0.00
anubisS1812–667%-0.00
ancientB157–847%-0.01
infernoC146–843%-0.02
nukeB105–550%-0.00
cacheD81–713%-0.01
mirageS65–183%-0.00
overpass—21–150%-0.03
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

3,380Matches
48%Win rate
1.05Avg K/D
75.8ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust247652%1.0616.5
Mirage44649%0.9714.8
Ancient29742%0.9214.6
Inferno25252%1.0515.4
Anubis22351%0.9814.3
Nuke13849%0.9414.7
Train4149%1.0015.0
Overpass4048%1.1318.4

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.

23.8%Headshot accuracy
37.0%Accuracy (enemy spotted)
45.1%Spray accuracy
72.4%Counter-strafing
9.5°Preaim
545msReaction time
48.0%T opening success
36.1%CT opening success
0.39Enemies flashed / flash
6.3%Flash assists
5.20HE damage / grenade
5.79Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.39 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.0756% — below the 40% mark we flag

Spend your practice time on Cache

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0334%10 Oct →
nuke8–130.0016%10 Oct →
anubis9–13-0.0910%10 Oct →
dust213–11-0.0718%9 Oct →
inferno7–130.0022%9 Oct →
dust25–130.0829%9 Oct →
inferno0–13-0.1013%9 Oct →
inferno7–13-0.0829%8 Oct →
mirage13–70.0333%8 Oct →
anubis13–11-0.0312%29 Sept →
inferno3–130.0326%25 Sept →
inferno14–16-0.0427%20 Sept →
inferno11–130.0024%15 Sept →
dust29–13-0.0623%15 Sept →
anubis13–100.0124%13 Sept →
ancient3–13-0.0424%12 Sept →
anubis13–9-0.0020%12 Sept →
inferno16–12-0.0233%11 Sept →
nuke3–13-0.0131%11 Sept →
mirage13–40.0333%11 Sept →
anubis3–13-0.0838%8 Sept →
ancient13–6-0.0345%27 Aug →
mirage13–5-0.0117%23 Aug →
anubis8–13-0.0513%23 Aug →
dust22–13-0.0420%16 Aug →
nuke4–13-0.0230%15 Aug →
anubis3–13-0.0923%15 Aug →
dust27–13-0.0526%11 Aug →
anubis13–6-0.0014%10 Aug →
vertigo13–60.0711%10 Aug →
dust26–13-0.0621%10 Aug →
cache15–15-0.0216%9 Aug →
anubis13–80.0029%9 Aug →
inferno13–4-0.0017%2 Aug →
nuke13–160.0221%2 Aug →
anubis7–13-0.0121%29 Jul →
cache7–13-0.0426%28 Jul →
anubis13–11-0.0523%27 Jul →
dust28–13-0.0023%26 Jul →
anubis13–60.0723%23 Jul →
anubis11–5-0.0219%19 Jul →
dust212–160.0127%19 Jul →
nuke13–90.0434%19 Jul →
dust216–140.0621%18 Jul →
ancient13–40.0723%18 Jul →
cache15–150.0120%17 Jul →
inferno13–10-0.0219%17 Jul →
ancient13–90.0112%17 Jul →
cache11–13-0.0120%17 Jul →
inferno3–13-0.0317%17 Jul →
dust25–13-0.065%17 Jul →
ancient13–8-0.0717%17 Jul →
dust25–130.0229%17 Jul →
anubis9–130.0637%14 Jul →
dust23–13-0.0417%11 Jul →
ancient9–130.0422%11 Jul →
nuke16–14-0.0015%11 Jul →
dust212–120.0126%10 Jul →
anubis13–80.0334%9 Jul →
cache10–13-0.0721%9 Jul →
dust216–13-0.0223%1 Jun →
anubis13–40.1224%1 Jun →
dust213–110.0224%30 May →
dust22–130.0514%28 May →
dust27–130.1023%27 May →
dust27–130.1423%27 May →
cache8–13-0.0129%27 May →
cache11–130.0520%27 May →
dust27–13-0.0615%26 May →
ancient4–130.0427%26 May →
anubis13–30.0913%24 May →
ancient13–110.0120%22 May →
nuke13–11-0.0220%22 May →
dust213–60.0929%22 May →
mirage13–6-0.007%22 May →
dust213–11-0.0423%22 May →
dust26–13-0.0129%21 May →
ancient13–60.0517%20 May →
overpass11–13-0.0321%20 May →
inferno1–13-0.1020%19 May →
mirage7–13-0.0417%18 May →
overpass13–8-0.0338%18 May →
mirage16–14-0.0229%17 May →
ancient10–130.0226%15 May →
nuke13–10-0.0423%15 May →
ancient13–11-0.0025%12 May →
nuke13–40.0415%8 May →
cache13–50.0419%4 May →
ancient5–13-0.0611%4 May →
inferno13–50.0219%4 May →
ancient5–13-0.0226%3 May →
ancient5–13-0.0430%1 May →
inferno13–110.0219%1 May →
ancient1–13-0.110%29 Apr →
anubis13–11-0.0222%27 Apr →
dust213–70.0728%27 Apr →
dust25–13-0.0121%27 Apr →
inferno16–13-0.0032%26 Apr →
dust24–13-0.1017%24 Apr →
dust216–13-0.0121%24 Apr →

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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