DramaLama

DramaLama — CS2 Stats

76561199536139944[U:1:1575874216]Steam profile ↗✓ No bans

1,338Tracked matches44%Win rate2023Tracked since
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating14,311Blue band · top ~32% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 14,311 -3,394 14 Jul – 15 Oct · 33 days played
14,31118,193peak 18,19314 Jul15 Oct
18,319Peak Premier in tracked matches
36Days played since 2026-07-12

Premier CS Rating

  • 3,882 below peak (18,193)
  • -688 over 30 days · declining
  • -3,151 over 90 days
  • Next: Purple band at 15,000 — 689 to go
  • Reached: 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.GGDramaLamaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,311 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning39
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateTLWLWWTLTW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · +8ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 672ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 641ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 636ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim4.8
Utility3.9
Positioning3.9
Opening Duels0.2
Clutch5.2

Limited utility dependence

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

ZywOo

Plays most like ZywOo 86% 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

CT openings. Opening success drops from 44% on T to 28% on CT — first contacts on the defending side are being lost.

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

Aim4.8
Positioning3.9
Utility3.9
Mechanics5.3
Opening Duels1.7
Win Impact3.1

Composite 3.9/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time605ms−57ms
first ⅓ avg 661ms → last ⅓ avg 605ms
Headshot accuracy11.3%+0.2%
first ⅓ avg 11.1% → last ⅓ avg 11.3%

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

0.02Best match rating · 13–6 · nuke, 1 Sept →
26%Best headshot accuracy · 4–13 · vertigo, 24 Aug →
461msFastest reaction time · 8–13 · train, 3 Sept →
13–2Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 50% over 10cacheWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%-0.04
dust2D144–1029%-0.06
infernoC146–843%-0.06
cacheD133–1023%-0.05
mirageB115–645%-0.05
ancientB105–550%-0.05
anubisC73–443%-0.05
train—30–30%-0.05
overpass—20–20%-0.04
fachwerk—22–0100%-0.05
office—11–0100%-0.01
eldorado—11–0100%-0.05
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

22Matches
41%Win rate
1.20Avg K/D
73.6ADR
37%Headshot %

Clutches & streaks

46%1v1 clutch win
27%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis425%0.487.5
Inferno40%0.8011.5
Ancient425%0.6910.8
Mirage3100%2.4124.0
Dust2367%1.0519.0
Nuke367%2.5114.3
Train10%0.477.0

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.

11.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.6%Spray accuracy
73.9%Counter-strafing
10.1°Preaim
609msReaction time
43.5%T opening success
27.7%CT opening success
0.60Enemies flashed / flash
5.1%Flash assists
6.55HE damage / grenade
4.01Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.5767% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 27.6838% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass12–12-0.0115%15 Oct →
dust211–13-0.0821%15 Oct →
inferno13–11-0.077%7 Oct →
nuke11–13-0.0611%7 Oct →
inferno13–7-0.0413%2 Oct →
office13–8-0.0121%2 Oct →
cache12–12-0.100%2 Oct →
mirage11–13-0.0412%2 Oct →
inferno15–15-0.0413%28 Sept →
dust213–10-0.0611%20 Sept →
cache11–13-0.054%20 Sept →
anubis13–90.0116%16 Sept →
overpass10–13-0.068%16 Sept →
nuke13–6-0.0712%15 Sept →
cache14–16-0.0321%14 Sept →
nuke8–130.0015%14 Sept →
eldorado9–3-0.058%14 Sept →
anubis13–11-0.0611%13 Sept →
nuke13–7-0.0512%13 Sept →
cache10–13-0.0615%12 Sept →
ancient13–7-0.0613%12 Sept →
ancient13–20.0017%12 Sept →
dust211–13-0.0013%12 Sept →
anubis13–5-0.0510%12 Sept →
inferno7–13-0.079%12 Sept →
mirage13–8-0.056%10 Sept →
dust29–13-0.086%10 Sept →
ancient7–13-0.0113%8 Sept →
nuke7–13-0.053%8 Sept →
mirage3–13-0.0013%8 Sept →
dust27–13-0.086%3 Sept →
dust23–13-0.0813%3 Sept →
ancient6–13-0.087%3 Sept →
train8–13-0.056%3 Sept →
dust28–13-0.0713%2 Sept →
anubis15–15-0.0410%2 Sept →
nuke13–60.0215%1 Sept →
mirage13–7-0.0814%1 Sept →
ancient13–8-0.0315%1 Sept →
dust213–11-0.0222%1 Sept →
train9–13-0.0313%1 Sept →
ancient13–9-0.0417%29 Aug →
mirage7–13-0.0821%29 Aug →
inferno3–13-0.090%29 Aug →
cache11–13-0.065%25 Aug →
nuke4–13-0.0814%25 Aug →
cache10–13-0.0416%24 Aug →
vertigo4–13-0.0326%24 Aug →
ancient15–15-0.0818%24 Aug →
nuke16–13-0.065%22 Aug →
dust213–3-0.024%22 Aug →
nuke13–8-0.0710%22 Aug →
cache0–3-0.030%22 Aug →
inferno15–15-0.0510%22 Aug →
mirage12–16-0.0618%20 Aug →
nuke13–80.0224%20 Aug →
nuke5–13-0.0413%19 Aug →
dust210–13-0.0515%19 Aug →
fachwerk13–9-0.072%19 Aug →
inferno8–13-0.0912%18 Aug →
cache12–12-0.0712%18 Aug →
nuke16–13-0.0411%17 Aug →
mirage13–30.0023%17 Aug →
anubis7–13-0.099%17 Aug →
dust211–13-0.079%16 Aug →
nuke5–13-0.0510%16 Aug →
inferno3–13-0.1010%14 Aug →
nuke13–8-0.0416%14 Aug →
inferno12–16-0.0820%14 Aug →
ancient5–13-0.035%13 Aug →
nuke7–13-0.032%13 Aug →
ancient13–8-0.0713%5 Aug →
mirage5–13-0.0415%5 Aug →
inferno11–13-0.047%3 Aug →
inferno13–7-0.0312%3 Aug →
inferno13–3-0.026%2 Aug →
anubis3–13-0.069%2 Aug →
nuke13–9-0.039%2 Aug →
nuke7–13-0.0811%30 Jul →
dust29–13-0.107%18 Jul →
inferno16–13-0.0519%18 Jul →
nuke13–9-0.087%18 Jul →
dust23–13-0.108%18 Jul →
train12–12-0.0713%16 Jul →
cache8–13-0.0614%16 Jul →
dust213–8-0.0126%16 Jul →
mirage9–13-0.088%16 Jul →
ancient11–13-0.098%16 Jul →
nuke11–13-0.027%15 Jul →
cache13–11-0.0413%15 Jul →
cache13–6-0.0425%15 Jul →
nuke9–13-0.086%15 Jul →
fachwerk13–11-0.039%14 Jul →
inferno13–7-0.0414%14 Jul →
cache6–130.0110%14 Jul →
nuke7–13-0.0113%14 Jul →
mirage13–7-0.097%14 Jul →
cache16–12-0.084%13 Jul →
anubis5–13-0.059%12 Jul →
mirage13–7-0.0219%12 Jul →

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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