Laama

Laama — CS2 Stats

FI76561198982333952[U:1:1022068224]Steam profile ↗✓ No bans

573Tracked matches43%Win rate2020Tracked since
2,478Hours in CS15Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 9 · 2,103 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,103 → 2,103
+36Tracked matches · now 573
0.0ppWin rate · 43.3% → 43.3%

Rating over time

2,103Highest Faceit ELO seen on CSDB
60Days played since 2021-08-06

Faceit ELO

  • At peak — 2,103
  • Next: 2,500 ELO at 2,500 — 397 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 Level 9 among CSDB-tracked players (n=14,332), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate43.2%48.2%50.9%7.7% short
Shot accuracy12.3%13.3%13.7%1.4% short
Kill/death ratio0.901.071.090.18 short
Match win rate43.2%46.9%48.4%5.2% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLaamaFACEITLevel 9 · 2,103 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,103csdb.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

Aim49
Positioning54
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateLWLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +4.4pp headshot accuracy · −116ms 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 -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 538ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 560ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 618ms

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 (+1.4 against its own average).

Aim4.9
Utility3.5
Positioning5.4
Opening Duels2.5
Clutch4.6

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 614ms 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

Aim4.9
Positioning5.4
Utility3.5
Mechanics5.1
Opening Duels1.3
Win Impact2.8

Composite 4.3/10 (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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time607ms+4ms
first ⅓ avg 603ms → last ⅓ avg 607ms
Headshot accuracy18.7%+4.9%
first ⅓ avg 13.8% → last ⅓ avg 18.7%

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

0.11Best match rating · 13–3 · overpass, 28 Feb →
40%Best headshot accuracy · 5–13 · office, 4 Jan →
344msFastest reaction time · 2–9 · vertigo, 5 Sept →
13–1Biggest win · italy, 17 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–9In matches decided by ≤2 rounds
32Overtime games

Map breakdown

overpassBest map · 60% over 10vertigoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%-0.02
anubisB209–1145%-0.02
vertigoC145–936%-0.05
mirageC114–736%-0.03
overpassA106–460%-0.01
nukeC83–538%-0.05
ancient—30–30%-0.06
office—32–167%0.00
cache—21–150%0.01
italy—11–0100%-0.02
train—11–0100%0.05
agency—10–10%-0.07

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,264Lifetime kills
0.90K/D
2,863Matches
43.2%Match win rate
43.2%Headshot %
12.3%Shot accuracy
6,826MVPs
1,172Hours (in match)
3,338Bombs planted
951Bombs defused

Most-used weapons

AK-4725,302
AWP5,168
SG 5534,280
AUG2,472
FAMAS1,492

Lifetime map wins

5,877inferno
2,257train
1,899dust2
1,636vertigo
1,066nuke
591cbble
112lake
95safehouse

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

Faceit stats

Combat

596Matches
52%Win rate
0.96Avg K/D
70.1ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis11861%1.0013.5
Inferno9747%0.9614.0
Ancient7952%0.9213.1
Vertigo5747%0.8512.1
Nuke3142%0.9814.6
Overpass2352%0.9412.7
Cache1242%0.9114.1
Mirage1233%0.7212.2

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.

18.7%Headshot accuracy
29.1%Accuracy (enemy spotted)
36.3%Spray accuracy
73.1%Counter-strafing
11.2°Preaim
614msReaction time
29.8%T opening success
40.1%CT opening success
0.52Enemies flashed / flash
8.0%Flash assists
10.64HE damage / grenade
6.56Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.7506% — below the 40% mark we flag

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0230%4 Oct →
cache16–130.0124%18 Sept →
ancient7–13-0.0735%18 Sept →
cache11–130.0112%8 Sept →
vertigo2–9-0.1817%5 Sept →
vertigo11–13-0.0720%30 Aug →
office13–7-0.0125%31 Mar →
nuke13–11-0.0121%7 Feb →
italy13–1-0.0233%17 Jan →
office13–30.0424%17 Jan →
train13–50.0522%17 Jan →
anubis13–9-0.0414%16 Jan →
agency10–13-0.0720%4 Jan →
office5–13-0.0240%4 Jan →
nuke8–13-0.0724%4 Nov →
mirage16–12-0.0415%4 Jul →
mirage13–16-0.0410%28 Jun →
mirage9–13-0.0225%27 Jun →
inferno7–13-0.059%18 Jun →
mirage13–6-0.0118%22 May →
inferno5–00.0113%22 May →
inferno2–13-0.1313%22 Oct →
anubis8–13-0.028%18 Sept →
anubis13–70.0816%8 Sept →
inferno13–50.0415%6 Aug →
inferno8–13-0.0312%30 Jul →
inferno4–13-0.0522%4 Jun →
inferno13–10-0.0325%14 May →
anubis14–16-0.008%7 May →
inferno14–16-0.0412%30 Apr →
inferno7–13-0.038%9 Mar →
anubis7–13-0.058%7 Mar →
overpass13–11-0.0222%7 Mar →
ancient10–13-0.0216%7 Mar →
overpass9–13-0.0816%6 Mar →
nuke5–13-0.0513%6 Mar →
anubis13–11-0.0310%6 Mar →
vertigo13–9-0.0215%5 Mar →
anubis16–14-0.0413%5 Mar →
vertigo16–13-0.0211%3 Mar →
anubis5–13-0.0817%3 Mar →
anubis13–7-0.0112%3 Mar →
overpass13–30.1118%28 Feb →
anubis13–50.0613%27 Feb →
nuke5–13-0.1126%27 Feb →
inferno13–8-0.0013%27 Feb →
overpass13–100.0027%25 Feb →
anubis8–13-0.0712%22 Feb →
inferno11–13-0.0223%22 Feb →
anubis16–140.0011%20 Feb →
ancient3–13-0.088%20 Feb →
inferno13–40.0211%19 Feb →
anubis13–100.0214%19 Feb →
inferno13–50.0110%19 Feb →
overpass13–10-0.0213%19 Feb →
inferno13–110.0317%19 Feb →
overpass13–5-0.0117%19 Feb →
nuke13–80.0320%18 Feb →
anubis13–40.0629%18 Feb →
inferno13–70.027%18 Feb →
anubis10–13-0.086%18 Feb →
vertigo13–5-0.010%18 Feb →
inferno10–130.0417%18 Feb →
anubis8–13-0.037%16 Feb →
inferno6–13-0.018%16 Feb →
nuke14–16-0.026%15 Feb →
inferno8–130.0226%14 Feb →
anubis10–13-0.0515%14 Feb →
inferno14–16-0.0510%13 Feb →
overpass13–7-0.0315%13 Feb →
anubis4–13-0.0223%12 Feb →
inferno13–10-0.0519%12 Feb →
overpass9–13-0.0618%10 Feb →
anubis9–13-0.0815%10 Feb →
inferno5–13-0.0911%9 Feb →
anubis7–13-0.0513%9 Feb →
inferno7–13-0.0117%9 Feb →
vertigo5–9-0.104%12 Jan →
overpass14–160.0427%18 Apr →
vertigo16–19-0.0111%12 Apr →
overpass9–16-0.0713%4 Apr →
mirage19–17-0.0921%4 Apr →
mirage13–160.0016%31 Mar →
inferno16–120.0311%31 Mar →
vertigo12–16-0.059%30 Mar →
vertigo11–16-0.0223%29 Mar →
mirage12–16-0.068%29 Mar →
inferno16–12-0.0513%29 Mar →
vertigo3–16-0.0310%28 Mar →
inferno16–14-0.0317%28 Mar →
nuke11–16-0.105%28 Mar →
mirage12–16-0.0513%28 Mar →
vertigo3–16-0.084%19 Feb →
vertigo16–11-0.076%18 Feb →
nuke16–14-0.0515%23 Sept →
mirage10–16-0.0015%11 Sept →
mirage17–190.0120%3 Sept →
vertigo12–16-0.0314%11 Sept →
vertigo16–8-0.0012%10 Sept →
mirage16–140.0014%6 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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