mlah

mlah — CS2 Stats

76561198150837640[U:1:190571912]Steam profile ↗✓ No bans

2,085Tracked matches73%Win rate2020Tracked since
CSDB Rating5.8 SolidAll-Rounder
Premier CS Rating22,510Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#50697 of 261621 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 22,510 +2,680 13 Oct – 10 Nov · 7 days played
19,83022,510peak 22,51013 Oct10 Nov
22,510Peak Premier in tracked matches
27Days played since 2026-08-13

Premier CS Rating

  • At peak — 22,510
  • +2,680 over 30 days · improving
  • Next: Red band at 25,000 — 2,490 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGmlahFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER22,510 · Pink bandcsdb.gg/stats

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Performance scores

Aim52
Positioning59
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY56–37–7Last 10056%Win rateLLWWWWLWTW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · +37ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.12
  • Avg headshot accuracy 21%
  • Avg reaction 583ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 621ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 603ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2
Utility6.5
Positioning5.9
Opening Duels4.4
Clutch6.4

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

jL

Plays most like jL 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. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim5.2
Positioning5.9
Utility6.5
Mechanics3.0
Opening Duels5.0
Win Impact10.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time595ms+34ms
first ⅓ avg 561ms → last ⅓ avg 595ms
Headshot accuracy19.8%+1.6%
first ⅓ avg 18.2% → last ⅓ avg 19.8%

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

0.34Best match rating · 9–4 · inferno, 11 Nov →
36%Best headshot accuracy · 9–4 · poseidon, 27 Aug →
375msFastest reaction time · 8–9 · dust2, 24 Sept →
13–2Biggest win · train, 13 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
13–14In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 100% over 6vertigoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA4024–1660%0.05
poseidonB115–645%0.04
vertigoC104–640%0.03
nukeA95–456%-0.00
cacheA85–363%0.02
dust2C73–443%-0.00
anubisS66–0100%0.01
ancient—42–250%0.00
train—31–233%-0.05
mirage—21–150%0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

41Matches
61%Win rate
1.15Avg K/D
73.3ADR
51%Headshot %

Clutches & streaks

52%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient967%1.1116.6
Mirage650%1.3016.0
Dust2650%1.1413.3
Anubis540%1.0213.0
Vertigo367%0.8915.7
Inferno3100%1.8619.7
Nuke10%0.315.0

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.

18.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.3%Spray accuracy
63.4%Counter-strafing
10.4°Preaim
588msReaction time
50.4%T opening success
50.0%CT opening success
0.61Enemies flashed / flash
8.6%Flash assists
12.60HE damage / grenade
9.57Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
poseidon6–9-0.1017%11 Nov →
inferno7–90.0320%11 Nov →
inferno9–40.3425%11 Nov →
vertigo9–00.2524%11 Nov →
anubis13–40.0618%10 Nov →
nuke13–9-0.0235%9 Nov →
vertigo0–9-0.289%8 Nov →
inferno9–70.1228%8 Nov →
poseidon8–8-0.0521%8 Nov →
inferno13–100.0518%6 Nov →
ancient13–16-0.0412%5 Nov →
anubis13–6-0.0220%5 Nov →
vertigo9–50.0821%4 Nov →
inferno8–80.0427%4 Nov →
inferno8–80.0721%4 Nov →
cache13–80.0521%21 Oct →
cache13–50.0917%21 Oct →
dust28–130.0116%21 Oct →
inferno9–50.1418%21 Oct →
inferno9–50.1915%21 Oct →
inferno9–70.0328%15 Oct →
inferno8–8-0.0013%15 Oct →
inferno9–30.168%15 Oct →
nuke5–13-0.0510%15 Oct →
cache13–70.0619%15 Oct →
anubis13–100.0019%14 Oct →
inferno14–16-0.0211%14 Oct →
cache13–40.0027%14 Oct →
dust28–130.0030%14 Oct →
dust25–13-0.0128%14 Oct →
cache13–40.0026%14 Oct →
anubis13–90.0322%14 Oct →
ancient13–9-0.0313%14 Oct →
inferno13–4-0.0523%14 Oct →
cache8–13-0.0711%14 Oct →
anubis13–11-0.0018%13 Oct →
inferno13–10-0.077%13 Oct →
mirage13–60.0420%13 Oct →
inferno13–6-0.0421%13 Oct →
dust213–7-0.0519%13 Oct →
inferno13–9-0.0216%13 Oct →
anubis13–11-0.0210%13 Oct →
nuke13–70.0320%13 Oct →
cache11–130.0419%13 Oct →
dust216–12-0.0213%13 Oct →
ancient8–130.078%13 Oct →
train4–13-0.0820%13 Oct →
train4–13-0.0522%13 Oct →
train13–2-0.0224%13 Oct →
vertigo9–7-0.0114%12 Oct →
vertigo7–90.1633%12 Oct →
vertigo8–80.0917%12 Oct →
inferno9–60.0732%12 Oct →
poseidon9–70.0121%11 Oct →
vertigo6–9-0.0819%11 Oct →
inferno9–30.2118%11 Oct →
inferno7–9-0.0315%11 Oct →
ancient13–110.0121%6 Oct →
inferno6–20.0623%6 Oct →
inferno9–30.1125%5 Oct →
inferno9–70.1425%5 Oct →
inferno9–40.1430%5 Oct →
inferno3–9-0.0511%1 Oct →
inferno9–70.0721%1 Oct →
nuke11–130.0520%1 Oct →
mirage9–130.0216%1 Oct →
nuke13–60.1213%30 Sept →
inferno9–40.0418%30 Sept →
poseidon2–9-0.019%30 Sept →
nuke13–40.109%24 Sept →
dust28–90.0321%24 Sept →
vertigo13–50.0914%24 Sept →
poseidon9–70.1518%16 Sept →
inferno7–9-0.0024%16 Sept →
inferno9–20.0513%16 Sept →
poseidon9–50.0219%16 Sept →
inferno9–70.0017%16 Sept →
inferno7–90.0435%16 Sept →
poseidon7–90.0614%9 Sept →
inferno1–9-0.1614%9 Sept →
inferno9–6-0.058%9 Sept →
poseidon9–60.1717%29 Aug →
vertigo3–90.0316%29 Aug →
inferno8–80.0628%29 Aug →
dust211–130.0420%29 Aug →
cache9–13-0.0315%28 Aug →
poseidon9–40.1736%27 Aug →
inferno7–90.0524%27 Aug →
nuke2–9-0.125%27 Aug →
vertigo7–9-0.015%27 Aug →
nuke9–50.0017%26 Aug →
inferno6–90.0118%26 Aug →
poseidon7–90.0417%26 Aug →
inferno7–9-0.0229%26 Aug →
inferno9–50.0916%22 Aug →
poseidon8–80.0418%22 Aug →
inferno4–90.0927%21 Aug →
nuke3–9-0.1229%21 Aug →
inferno9–70.1120%21 Aug →
inferno6–9-0.0311%13 Aug →

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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