Lama

Lama — CS2 Stats

76561198117835168[U:1:157569440]Steam profile ↗✓ No bans

382Tracked matches53%Win rate2020Tracked since
1,817Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating20,965Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#70407 of 259951 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (68 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 382 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,965 -22 13 Apr – 29 Aug · 11 days played
20,22321,783peak 21,78313 Apr29 Aug
22,469Peak Premier in tracked matches
1,821Highest Faceit ELO seen on CSDB
31Days played since 2025-06-17

Faceit ELO

  • At peak — 1,821
  • Next: Level 10 at 2,001 — 180 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • 818 below peak (21,783)
  • Next: Red band at 25,000 — 4,035 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.4%46.9%49.3%7.9% short
Shot accuracy19.5%13.0%13.4%above
Kill/death ratio1.111.081.12meets
Match win rate50.5%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLamaPREMIER20,965 · Pink bandPEAK ELO1,821csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning63
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWWWWLLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.9pp headshot accuracy · −3ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 580ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 609ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 25%
  • Avg reaction 610ms

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 (+1.9 against its own average).

Aim7.2
Utility6.5
Positioning6.3
Opening Duels4.8
Clutch0.8

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

m0NESY

Plays most like m0NESY 84% 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. 609ms 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

Aim7.2
Positioning6.3
Utility6.5
Mechanics6.8
Opening Duels4.6
Win Impact6.1

Composite 6.6/10 (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 rating0.06+0.03
first ⅓ avg 0.04 → last ⅓ avg 0.06
Reaction time610ms−17ms
first ⅓ avg 627ms → last ⅓ avg 610ms
Headshot accuracy23.2%+3.5%
first ⅓ avg 19.8% → last ⅓ avg 23.2%

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

0.25Best match rating · 13–11 · overpass, 21 Apr →
46%Best headshot accuracy · 4–13 · mirage, 13 Apr →
438msFastest reaction time · 13–11 · dust2, 23 Apr →
13–0Biggest win · mirage, 28 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 75% over 12infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageB3015–1550%0.05
infernoD227–1532%0.03
dust2C187–1139%0.05
overpassB136–746%0.05
cacheS129–375%0.08
anubis—31–233%0.01
ancient—11–0100%0.05
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,874Lifetime kills
1.11K/D · Top 50% of Pink band
3,321Matches
50.5%Match win rate · Top 25% of Pink band
41.4%Headshot %
19.5%Shot accuracy · Top 5% of Pink band
10,122MVPs
1,817Hours (in match)
4,187Bombs planted
1,263Bombs defused

Most-used weapons

AK-4731,554
AWP3,441
P2502,150
MP71,809
FAMAS1,557
Knife1,533

Lifetime map wins

8,052inferno
5,573dust2
2,259cbble
1,150train
509vertigo
218nuke
26italy
20dust

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

Faceit stats

Combat

809Matches
52%Win rate
1.28Avg K/D
96.2ADR
39%Headshot %

Clutches & streaks

24%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2825%1.0715.5
Inferno838%1.3118.6
Mirage667%1.6524.2
Anubis425%0.9515.0
Overpass250%2.5717.0
Vertigo1100%1.1416.0

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.

23.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
31.8%Spray accuracy
80.6%Counter-strafing
10.2°Preaim
609msReaction time
41.9%T opening success
55.0%CT opening success
0.62Enemies flashed / flash
16.0%Flash assists
11.69HE damage / grenade
10.10Flashes / match

Recommended for you

Spend your practice time on Inferno

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–130.0222%8 May →
overpass13–11-0.0024%7 May →
cache13–90.0344%7 May →
cache13–60.0221%7 May →
cache13–10.0913%6 May →
mirage13–10.1823%6 May →
cache10–130.1523%6 May →
dust26–130.0728%2 May →
cache5–13-0.0120%30 Apr →
cache13–80.1021%30 Apr →
cache13–80.1228%30 Apr →
cache11–130.0123%29 Apr →
cache13–100.1437%29 Apr →
mirage9–13-0.0120%29 Apr →
cache13–110.0621%29 Apr →
cache13–40.1028%29 Apr →
cache13–20.1632%29 Apr →
mirage11–130.0725%28 Apr →
dust24–130.0621%28 Apr →
inferno13–70.0825%28 Apr →
dust213–30.0732%28 Apr →
mirage13–00.1124%28 Apr →
dust213–100.2221%28 Apr →
inferno7–130.0225%27 Apr →
inferno6–13-0.0017%23 Apr →
inferno8–130.0423%23 Apr →
dust213–110.0121%23 Apr →
inferno7–130.025%23 Apr →
inferno8–130.0320%22 Apr →
inferno12–160.0219%21 Apr →
overpass2–13-0.0414%21 Apr →
mirage2–130.0326%21 Apr →
inferno13–110.0522%21 Apr →
dust211–130.0214%21 Apr →
mirage13–20.0530%21 Apr →
overpass13–110.2523%21 Apr →
mirage10–130.0327%21 Apr →
mirage15–150.0324%19 Apr →
overpass13–110.1116%19 Apr →
dust29–130.0922%19 Apr →
overpass15–150.0619%19 Apr →
mirage5–130.0325%19 Apr →
mirage13–40.0830%19 Apr →
overpass8–130.0416%18 Apr →
inferno10–130.0819%18 Apr →
dust26–130.0226%18 Apr →
mirage16–140.0818%18 Apr →
overpass9–130.0312%18 Apr →
inferno13–50.1512%18 Apr →
mirage8–130.0115%18 Apr →
mirage13–100.0620%18 Apr →
dust211–130.0311%17 Apr →
inferno4–130.0110%17 Apr →
mirage13–50.0525%17 Apr →
inferno13–80.0118%17 Apr →
dust211–130.0436%17 Apr →
anubis14–16-0.0011%13 Apr →
dust27–13-0.0323%13 Apr →
mirage16–130.0620%13 Apr →
mirage4–130.0146%13 Apr →
anubis13–110.0518%13 Apr →
mirage8–130.0122%13 Apr →
overpass6–20.0438%13 Apr →
inferno5–13-0.028%11 Mar →
overpass3–130.0222%10 Mar →
mirage13–100.0216%10 Mar →
mirage14–16-0.0120%10 Mar →
inferno16–140.0524%10 Mar →
anubis8–13-0.0223%10 Mar →
overpass9–130.0723%18 Feb →
mirage10–130.0128%1 Feb →
mirage13–80.0642%1 Feb →
inferno3–13-0.0419%1 Feb →
inferno7–130.0117%31 Jan →
mirage13–100.0724%31 Jan →
dust213–110.0721%31 Jan →
inferno13–50.1123%31 Jan →
inferno11–13-0.027%25 Jan →
mirage15–15-0.0126%24 Jan →
mirage8–130.0626%24 Jan →
inferno8–13-0.0416%24 Jan →
overpass13–100.0710%23 Jan →
overpass9–130.0110%23 Jan →
mirage13–60.1320%23 Jan →
dust213–50.0719%22 Jan →
dust213–70.0713%21 Jan →
inferno9–130.0017%21 Jan →
ancient13–30.0519%21 Jan →
mirage11–130.0730%21 Jan →
dust26–13-0.0518%21 Jan →
mirage13–90.0931%21 Jan →
dust25–13-0.0319%21 Jan →
vertigo13–110.0319%9 Oct →
dust213–60.0813%22 Aug →
inferno10–13-0.0113%21 Aug →
overpass16–12-0.0215%17 Aug →
mirage13–50.0530%17 Aug →
mirage13–110.0216%17 Aug →
inferno13–50.1211%10 Aug →
mirage11–130.0213%17 Jun →

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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