Lhamo

Lhamo — CS2 Stats

BT76561198104036686[U:1:143770958]Steam profile ↗✓ No bans

1,602Tracked matches53%Win rate2021Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating13,137Blue band · top ~38.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1447Premier CS Rating · 11,690 → 13,137

Rating over time

Premier CS Rating: 13,137 -1,193 4 Sept – 15 Nov · 24 days played
10,59415,105peak 15,1054 Sept15 Nov
15,395Peak Premier in tracked matches
20Days played since 2026-09-04

Premier CS Rating

  • 1,968 below peak (15,105)
  • -1,790 over 30 days · declining
  • Next: Purple band at 15,000 — 1,863 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-04
  • Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGLhamoPREMIER13,137 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning35
Utility58

0–100 skill scores via Leetify.

Recent form

HOT41–55–4Last 10041%Win rateWWWWWWWLLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −1.5pp headshot accuracy · −17ms reaction

Win rate up 50pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 583ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

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 (+3.1 against its own average).

Aim5.3
Utility5.8
Positioning3.5
Opening Duels0.3
Clutch1.0

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

NiKo

Plays most like NiKo 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. 578ms 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

Aim5.3
Positioning3.5
Utility5.8
Mechanics5.7
Opening Duels1.0
Win Impact6.1

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time567ms−72ms
first ⅓ avg 639ms → last ⅓ avg 567ms
Headshot accuracy18.2%−1.2%
first ⅓ avg 19.4% → last ⅓ avg 18.2%

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

0.17Best match rating · 13–2 · dust2, 27 Oct →
34%Best headshot accuracy · 13–7 · ancient, 27 Sept →
438msFastest reaction time · 3–13 · mirage, 27 Oct →
13–1Biggest win · nuke, 30 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W7Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 6mirageWeakest map · 30% over 27
MapGradePlayedRecordWin rateAvg rating
dust2D2910–1934%-0.01
mirageD278–1930%-0.02
anubisA116–555%-0.01
infernoA117–464%-0.01
nukeC104–640%-0.05
ancientD62–433%0.01
cacheS64–267%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
40%Win rate
0.58Avg K/D
54.9ADR
50%Headshot %

Clutches & streaks

25%1v1 clutch win
42%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%0.7911.0
Inferno333%0.426.7
Dust220%0.336.0

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.

18.5%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.4%Spray accuracy
75.4%Counter-strafing
13.0°Preaim
578msReaction time
35.5%T opening success
32.8%CT opening success
0.50Enemies flashed / flash
3.0%Flash assists
12.42HE damage / grenade
8.79Flashes / 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. Advanced Mechanics

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

    Preaim 13.0474° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4992 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

30% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0318%15 Nov →
anubis13–8-0.0130%15 Nov →
inferno13–9-0.0213%15 Nov →
anubis13–20.0411%15 Nov →
nuke13–11-0.0331%14 Nov →
inferno13–100.0421%14 Nov →
cache13–9-0.027%14 Nov →
anubis14–160.0118%8 Nov →
dust25–13-0.0312%3 Nov →
dust213–80.0210%3 Nov →
inferno13–90.0421%3 Nov →
inferno11–13-0.0317%3 Nov →
anubis4–13-0.1319%31 Oct →
mirage3–130.0030%31 Oct →
dust28–130.0114%30 Oct →
ancient7–13-0.0224%30 Oct →
nuke13–10.0215%30 Oct →
mirage11–130.0011%27 Oct →
mirage13–11-0.0117%27 Oct →
mirage6–13-0.0617%27 Oct →
mirage3–13-0.0811%27 Oct →
inferno13–100.0227%27 Oct →
dust213–20.1727%27 Oct →
mirage9–13-0.0613%27 Oct →
inferno13–100.0325%27 Oct →
dust210–130.0814%27 Oct →
mirage13–8-0.0114%26 Oct →
mirage10–13-0.0424%26 Oct →
mirage13–16-0.0024%26 Oct →
anubis13–8-0.0318%25 Oct →
anubis10–130.0119%25 Oct →
ancient10–130.0011%25 Oct →
inferno4–13-0.1015%25 Oct →
nuke9–13-0.0417%25 Oct →
inferno13–8-0.0414%25 Oct →
mirage13–16-0.0221%24 Oct →
dust213–80.0220%24 Oct →
dust215–15-0.0220%23 Oct →
cache16–120.0516%23 Oct →
dust29–13-0.0114%23 Oct →
dust210–13-0.0316%23 Oct →
mirage10–130.0017%23 Oct →
mirage11–130.0111%22 Oct →
nuke3–13-0.115%22 Oct →
anubis2–13-0.0418%22 Oct →
dust27–13-0.0526%22 Oct →
cache8–13-0.0019%22 Oct →
ancient8–13-0.0419%22 Oct →
dust27–13-0.0131%21 Oct →
dust21–13-0.0312%21 Oct →
dust23–13-0.0417%21 Oct →
cache13–100.0523%21 Oct →
dust25–13-0.0320%21 Oct →
inferno13–80.0210%19 Oct →
mirage13–11-0.0417%19 Oct →
inferno9–130.0111%19 Oct →
dust211–130.0218%19 Oct →
dust215–15-0.0017%15 Oct →
mirage3–13-0.0514%15 Oct →
mirage3–13-0.116%15 Oct →
dust211–130.0013%15 Oct →
mirage12–120.0811%15 Oct →
dust23–13-0.0511%15 Oct →
anubis8–13-0.0411%28 Sept →
dust213–11-0.0417%28 Sept →
dust213–90.0325%28 Sept →
cache8–13-0.0416%27 Sept →
mirage4–13-0.0221%27 Sept →
mirage13–100.0410%27 Sept →
dust26–13-0.0320%27 Sept →
anubis13–7-0.087%27 Sept →
mirage7–13-0.0419%27 Sept →
nuke11–13-0.0919%27 Sept →
ancient13–70.0834%27 Sept →
anubis13–60.1620%27 Sept →
mirage13–50.0632%27 Sept →
nuke13–3-0.0127%27 Sept →
cache16–140.0622%27 Sept →
nuke13–70.0034%26 Sept →
mirage13–90.0324%26 Sept →
dust213–80.0632%26 Sept →
dust213–50.1328%26 Sept →
inferno10–13-0.0616%26 Sept →
anubis13–5-0.0219%26 Sept →
dust216–140.0319%26 Sept →
nuke13–16-0.0116%26 Sept →
dust29–13-0.0514%26 Sept →
dust27–13-0.086%25 Sept →
mirage13–11-0.059%25 Sept →
mirage15–15-0.0711%25 Sept →
nuke2–13-0.1414%25 Sept →
dust213–5-0.0329%25 Sept →
dust213–4-0.1233%25 Sept →
mirage4–13-0.0822%25 Sept →
nuke7–13-0.0910%25 Sept →
mirage9–13-0.0616%23 Sept →
mirage13–8-0.0216%23 Sept →
dust21–13-0.0613%23 Sept →
ancient6–130.0111%23 Sept →
mirage4–13-0.0518%23 Sept →

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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