Lemon Haze

Lemon Haze — CS2 Stats

76561198398792364[U:1:438526636]Steam profile ↗✓ No bans

833Tracked matches50%Win rate2021Tracked since
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating9,173Light Blue band · top ~58.8% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (3 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: 9,173 +268 2 Aug – 29 Sept · 26 days played
6,9049,268peak 9,2682 Aug29 Sept
9,361Peak Premier in tracked matches
26Days played since 2026-08-02

Premier CS Rating

  • 95 below peak (9,268)
  • +2,123 over 30 days · improving
  • Next: Blue band at 10,000 — 827 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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

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CSDB.GGLemon HazePREMIER9,173 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLWWLWLWW

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · +1.0pp headshot accuracy · +38ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 656ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 657ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 638ms

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 (+1.1 against its own average).

Aim4.2
Utility5.4
Positioning6.0
Opening Duels4.1
Clutch4.0

Strong CT-side opener

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 66% 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. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning6.0
Utility5.4
Mechanics3.8
Opening Duels5.7
Win Impact5.0

Composite 4.4/10 (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 time612ms−26ms
first ⅓ avg 639ms → last ⅓ avg 612ms
Headshot accuracy11.7%+1.3%
first ⅓ avg 10.4% → last ⅓ avg 11.7%

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

0.16Best match rating · 13–9 · nuke, 4 Aug →
26%Best headshot accuracy · 13–6 · ancient, 31 Aug →
414msFastest reaction time · 3–13 · inferno, 12 Aug →
13–0Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 15infernoWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
infernoC2710–1737%-0.02
dust2A1710–759%-0.04
ancientC156–940%0.00
mirageS1510–567%-0.00
nukeC125–742%-0.01
anubisB115–645%0.01
cache—32–167%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches
44%Win rate
0.74Avg K/D
71.5ADR
35%Headshot %

Clutches & streaks

40%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1233%0.7414.7
Inferno617%0.7911.0
Nuke5100%1.1414.6
Anubis367%0.9213.0
Overpass367%1.1018.3
Cache250%0.7312.5
Ancient250%0.5210.5
Vertigo10%0.539.0

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.

11.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.2%Spray accuracy
67.0%Counter-strafing
11.3°Preaim
607msReaction time
47.0%T opening success
58.5%CT opening success
0.63Enemies flashed / flash
8.2%Flash assists
6.56HE damage / grenade
5.58Flashes / 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 11.4693% — below the 15% mark we flag

    Aim Training →
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.

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–9-0.197%30 Sept →
inferno9–5-0.0416%30 Sept →
inferno11–130.0316%29 Sept →
cache13–11-0.0611%29 Sept →
cache13–30.0318%29 Sept →
dust210–13-0.069%28 Sept →
inferno13–8-0.0414%28 Sept →
nuke5–13-0.085%27 Sept →
inferno13–5-0.068%27 Sept →
dust213–100.0115%27 Sept →
ancient16–130.0110%26 Sept →
inferno13–11-0.0217%26 Sept →
mirage11–00.0819%26 Sept →
inferno9–13-0.019%26 Sept →
anubis13–40.0811%23 Sept →
dust213–4-0.045%23 Sept →
dust213–00.008%23 Sept →
nuke8–130.0212%23 Sept →
mirage14–160.025%22 Sept →
ancient11–13-0.0212%22 Sept →
anubis10–130.0212%21 Sept →
inferno9–13-0.058%20 Sept →
dust213–10-0.0112%8 Sept →
ancient6–130.018%7 Sept →
ancient10–130.0411%7 Sept →
mirage13–90.0112%7 Sept →
inferno5–130.0213%7 Sept →
nuke2–13-0.0415%5 Sept →
inferno14–16-0.0210%5 Sept →
mirage13–20.0312%5 Sept →
inferno12–16-0.0312%5 Sept →
mirage13–8-0.0121%5 Sept →
nuke13–10-0.0515%5 Sept →
nuke13–4-0.0210%5 Sept →
ancient13–4-0.0712%5 Sept →
dust213–2-0.088%5 Sept →
dust25–13-0.0717%5 Sept →
inferno9–130.0012%4 Sept →
ancient7–13-0.0610%4 Sept →
dust213–8-0.0411%4 Sept →
inferno13–70.0112%4 Sept →
dust212–16-0.0416%4 Sept →
inferno13–10-0.0215%4 Sept →
nuke13–10-0.0413%4 Sept →
inferno13–30.089%31 Aug →
ancient13–60.1026%31 Aug →
anubis13–40.0515%31 Aug →
dust210–130.0014%31 Aug →
mirage15–15-0.0312%31 Aug →
mirage16–12-0.008%31 Aug →
nuke1–13-0.0617%19 Aug →
cache10–130.0115%19 Aug →
dust211–13-0.064%19 Aug →
mirage13–6-0.0510%18 Aug →
mirage16–12-0.076%14 Aug →
inferno13–8-0.0016%14 Aug →
anubis13–7-0.1018%13 Aug →
mirage13–16-0.0114%13 Aug →
mirage13–90.0018%13 Aug →
dust25–13-0.0320%13 Aug →
nuke1–80.036%13 Aug →
nuke7–13-0.0312%13 Aug →
nuke13–5-0.0311%13 Aug →
anubis5–13-0.037%13 Aug →
ancient10–130.0314%13 Aug →
inferno6–13-0.0311%13 Aug →
ancient13–100.0314%13 Aug →
dust213–9-0.009%13 Aug →
inferno3–13-0.026%12 Aug →
anubis7–130.0013%12 Aug →
inferno3–13-0.0217%10 Aug →
dust213–11-0.0514%10 Aug →
mirage5–13-0.014%10 Aug →
ancient10–13-0.0516%9 Aug →
inferno7–13-0.077%9 Aug →
inferno9–13-0.0115%9 Aug →
inferno4–13-0.0015%9 Aug →
ancient13–90.009%6 Aug →
ancient13–30.0011%6 Aug →
inferno13–5-0.0813%6 Aug →
inferno10–13-0.049%6 Aug →
anubis11–13-0.0015%5 Aug →
mirage13–4-0.035%5 Aug →
dust24–13-0.079%5 Aug →
dust213–7-0.0613%5 Aug →
nuke11–13-0.047%5 Aug →
inferno13–11-0.028%5 Aug →
ancient3–130.0116%5 Aug →
dust213–6-0.0210%5 Aug →
anubis13–100.0411%4 Aug →
mirage13–110.067%4 Aug →
inferno9–13-0.0310%4 Aug →
nuke13–90.168%4 Aug →
anubis10–130.036%4 Aug →
anubis13–40.068%4 Aug →
ancient4–13-0.0122%4 Aug →
ancient10–130.025%3 Aug →
mirage11–13-0.035%3 Aug →
anubis11–13-0.048%2 Aug →
inferno4–13-0.0210%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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