Lit the Erd Tree and Smoked it

Lit the Erd Tree and Smoked it — CS2 Stats

76561198350829399[U:1:390563671]Steam profile ↗✓ No bans

1,832Tracked matches54%Win rate2022Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating9,316Light Blue band · top ~58.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (34 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: 9,316 +2,786 24 Aug – 4 Sept · 8 days played
6,5309,316peak 9,31624 Aug4 Sept
9,316Peak Premier in tracked matches
21Days played since 2026-08-06

Premier CS Rating

  • At peak — 9,316
  • Next: Blue band at 10,000 — 684 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGLit the Erd Tree and Smok…FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,316 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLWWWLTLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −1.1pp headshot accuracy · −48ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 567ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

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 (+3.8 against its own average).

Aim6.4
Utility4.9
Positioning5.9
Opening Duels4.0
Clutch10.0

Reliable in 1v1s

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 89% 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. 594ms 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

Aim6.4
Positioning5.9
Utility4.9
Mechanics7.7
Opening Duels3.2
Win Impact6.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−47ms
first ⅓ avg 645ms → last ⅓ avg 598ms
Headshot accuracy14.6%−2.1%
first ⅓ avg 16.7% → last ⅓ avg 14.6%

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 · anubis, 10 Aug →
50%Best headshot accuracy · 4–13 · cache, 14 Aug →
422msFastest reaction time · 13–9 · ancient, 27 Aug →
13–2Biggest win · anubis, 30 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA1810–856%-0.02
dust2C176–1135%-0.02
ancientA169–756%-0.00
nukeD144–1029%-0.02
anubisA106–460%0.02
infernoD82–625%-0.03
mirageA74–357%0.01
vertigoB63–350%0.01
overpass—21–150%-0.03
train—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
55%Win rate
0.80Avg K/D
65.5ADR
41%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.7511.6
Vertigo2100%1.0317.0
Anubis1100%1.1011.0
Nuke10%0.569.0
Ancient10%0.507.0
Overpass1100%0.829.0

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.

14.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
32.6%Spray accuracy
84.6%Counter-strafing
10.9°Preaim
594msReaction time
38.9%T opening success
46.8%CT opening success
0.55Enemies flashed / flash
5.4%Flash assists
6.71HE damage / grenade
10.40Flashes / 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 14.5648% — below the 15% mark we flag

    Aim Training →
  2. 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 38.9159% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0313%4 Sept →
inferno1–13-0.086%4 Sept →
cache13–110.0415%4 Sept →
dust213–80.0422%4 Sept →
dust213–6-0.0414%4 Sept →
inferno10–13-0.0313%4 Sept →
inferno15–150.0612%4 Sept →
dust212–16-0.0319%4 Sept →
mirage7–130.058%4 Sept →
ancient13–70.0114%4 Sept →
dust215–15-0.038%4 Sept →
ancient13–60.0011%3 Sept →
nuke5–13-0.0123%3 Sept →
ancient13–80.0222%3 Sept →
mirage13–11-0.0213%3 Sept →
dust213–40.0519%3 Sept →
mirage13–9-0.0115%3 Sept →
cache10–13-0.110%30 Aug →
anubis13–20.0518%30 Aug →
cache13–11-0.0419%30 Aug →
nuke10–130.0415%29 Aug →
ancient7–13-0.0930%29 Aug →
overpass13–4-0.039%29 Aug →
cache13–2-0.0213%29 Aug →
inferno11–13-0.0211%29 Aug →
dust28–13-0.0416%29 Aug →
dust213–7-0.0419%29 Aug →
dust24–130.0718%28 Aug →
dust26–13-0.058%28 Aug →
cache5–13-0.0617%28 Aug →
dust211–13-0.0615%28 Aug →
cache13–20.0112%28 Aug →
anubis13–6-0.0116%28 Aug →
dust213–60.0713%28 Aug →
ancient13–11-0.0110%28 Aug →
dust213–7-0.0414%28 Aug →
inferno13–8-0.0710%28 Aug →
dust27–13-0.0410%28 Aug →
ancient13–60.0018%28 Aug →
anubis7–00.1114%28 Aug →
cache13–40.0015%28 Aug →
dust211–13-0.069%28 Aug →
ancient7–130.1013%28 Aug →
ancient8–13-0.0113%28 Aug →
ancient8–130.0519%28 Aug →
cache13–5-0.019%27 Aug →
nuke11–13-0.048%27 Aug →
mirage13–40.1014%27 Aug →
cache3–13-0.0413%27 Aug →
nuke13–70.0915%27 Aug →
ancient13–9-0.0610%27 Aug →
ancient13–5-0.0215%27 Aug →
mirage10–13-0.0117%27 Aug →
vertigo6–13-0.0120%24 Aug →
overpass12–12-0.0316%24 Aug →
mirage13–60.0218%24 Aug →
nuke11–13-0.0215%24 Aug →
nuke7–13-0.0319%24 Aug →
ancient3–130.0020%24 Aug →
vertigo10–13-0.0726%23 Aug →
inferno12–160.0111%23 Aug →
cache8–13-0.0312%23 Aug →
nuke3–13-0.0629%22 Aug →
anubis13–8-0.037%22 Aug →
cache4–10-0.0316%22 Aug →
nuke13–100.0020%21 Aug →
inferno4–13-0.0611%20 Aug →
anubis15–150.028%16 Aug →
anubis8–13-0.0517%16 Aug →
dust214–16-0.0417%15 Aug →
cache4–13-0.1150%14 Aug →
nuke6–13-0.0818%14 Aug →
train13–110.0517%14 Aug →
vertigo9–130.0216%14 Aug →
anubis9–13-0.0214%14 Aug →
ancient13–7-0.0122%14 Aug →
ancient11–13-0.0417%14 Aug →
cache13–6-0.0424%14 Aug →
ancient6–13-0.0116%13 Aug →
nuke10–13-0.073%13 Aug →
cache13–30.1119%12 Aug →
anubis10–130.057%12 Aug →
nuke6–13-0.0418%11 Aug →
vertigo13–9-0.0123%11 Aug →
anubis13–30.1120%10 Aug →
vertigo13–90.0726%10 Aug →
inferno13–9-0.0311%10 Aug →
nuke13–20.0117%10 Aug →
cache13–6-0.0024%10 Aug →
vertigo13–40.0314%9 Aug →
cache13–9-0.0413%9 Aug →
dust210–13-0.0020%8 Aug →
cache15–15-0.0111%8 Aug →
train6–13-0.0219%8 Aug →
nuke10–13-0.0611%8 Aug →
mirage10–13-0.0612%8 Aug →
anubis13–7-0.0121%8 Aug →
dust27–13-0.068%6 Aug →
cache12–12-0.068%6 Aug →
nuke13–2-0.0113%6 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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