Lemon

Lemon — CS2 Stats

CG76561198214812963[U:1:254547235]Steam profile ↗✓ No bans

1,058Tracked matches63%Win rate2020Tracked since
3,762Hours in CS5Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating20,512Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#77402 of 261645 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (7 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: 20,512 -1,115 24 May – 8 Nov · 25 days played
18,65725,625peak 25,62524 May8 Nov
26,228Peak Premier in tracked matches
28Days played since 2026-05-24

Premier CS Rating

  • 5,113 below peak (25,625)
  • +1,026 over 30 days · improving
  • Next: Red band at 25,000 — 4,488 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate58.4%46.8%48.2%above
Shot accuracy18.7%13.0%13.2%above
Kill/death ratio2.141.061.07above
Match win rate76.5%46.3%46.9%above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGLemonFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,512 · Pink bandcsdb.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

Aim89
Positioning67
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateWLWTWWLWTW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · −59ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 467ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 466ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 496ms

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 (+2.3 against its own average).

Aim8.9
Utility5.0
Positioning6.7
Opening Duels5.8
Clutch0.0

Sharp aimer

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

donk

Plays most like donk 97% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning6.7
Utility5.0
Mechanics6.4
Opening Duels4.5
Win Impact9.3

Composite 7.2/10 (Strong), 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 rating0.04+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time497ms−13ms
first ⅓ avg 510ms → last ⅓ avg 497ms
Headshot accuracy16.2%−3.7%
first ⅓ avg 19.9% → last ⅓ avg 16.2%

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

0.29Best match rating · 9–1 · inferno, 3 Jul →
32%Best headshot accuracy · 13–1 · mirage, 29 Jun →
336msFastest reaction time · 9–6 · ancient, 29 Jun →
13–1Biggest win · overpass, 1 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 75% over 12nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2214–864%0.05
mirageA1810–856%0.04
dust2C188–1044%0.03
anubisS129–375%0.04
ancientS75–271%0.05
nukeD62–433%0.04
cacheS64–267%0.07
overpass—43–175%0.06
train—21–150%0.05
vertigo—22–0100%0.04
italy—10–10%0.06
stronghold—10–10%0.06
office—11–0100%0.18

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,545Lifetime kills
2.14K/D · Top 5% of Level 8 players
9,476Matches
76.5%Match win rate · Top 1% of Level 8 players
58.4%Headshot % · Top 10% of Level 8 players
18.7%Shot accuracy · Top 10% of Level 8 players
19,206MVPs
1,413Hours (in match)
5,356Bombs planted
1,035Bombs defused

Most-used weapons

Lifetime map wins

7,018inferno
5,093dust2
1,813nuke
1,744train
1,131office
1,031vertigo
745lake
550cbble

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

Faceit stats

Combat

124Matches
61%Win rate
1.68Avg K/D
101.9ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%1.1218.0
Mirage10%1.3523.0
Inferno1100%2.3023.0
Ancient10%1.1523.0

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.

16.9%Headshot accuracy
42.8%Accuracy (enemy spotted)
44.8%Spray accuracy
78.7%Counter-strafing
9.3°Preaim
490msReaction time
40.0%T opening success
56.1%CT opening success
0.50Enemies flashed / flash
7.4%Flash assists
9.27HE damage / grenade
6.60Flashes / match

Recommended for you

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.027%8 Nov →
inferno5–13-0.0512%8 Nov →
anubis13–50.0718%5 Nov →
nuke15–150.0123%5 Nov →
mirage13–100.0225%5 Nov →
mirage13–40.0716%5 Nov →
anubis7–130.0216%11 Oct →
mirage13–50.0622%11 Oct →
ancient12–120.0523%11 Oct →
cache13–70.1022%10 Oct →
inferno13–160.0115%10 Oct →
mirage8–130.1222%10 Oct →
inferno3–90.018%10 Oct →
anubis13–30.1315%10 Oct →
dust212–120.0623%10 Oct →
train13–50.0526%10 Oct →
inferno16–140.0713%9 Oct →
dust24–13-0.0013%9 Oct →
mirage13–70.0111%9 Oct →
inferno13–9-0.057%8 Oct →
mirage12–160.0427%7 Oct →
mirage10–13-0.0122%23 Sept →
anubis7–13-0.0215%23 Sept →
inferno13–40.049%13 Jul →
inferno13–60.0519%13 Jul →
anubis13–50.0816%13 Jul →
anubis13–50.0711%11 Jul →
inferno13–40.1116%11 Jul →
cache13–20.1614%11 Jul →
cache7–13-0.079%11 Jul →
inferno13–80.1013%11 Jul →
anubis15–150.0512%11 Jul →
nuke8–130.0615%11 Jul →
inferno13–40.0815%11 Jul →
ancient13–30.0914%11 Jul →
inferno10–130.0016%11 Jul →
dust211–130.0220%9 Jul →
dust213–30.017%9 Jul →
mirage6–13-0.0314%9 Jul →
dust210–13-0.0112%9 Jul →
nuke13–20.0713%9 Jul →
mirage13–60.1821%7 Jul →
italy8–130.0626%7 Jul →
stronghold7–130.0613%6 Jul →
ancient13–70.0819%6 Jul →
nuke4–13-0.026%5 Jul →
vertigo13–60.0515%5 Jul →
ancient13–40.1617%5 Jul →
train12–120.069%5 Jul →
dust213–50.0510%4 Jul →
dust26–130.0411%4 Jul →
nuke13–70.1620%4 Jul →
inferno9–10.2916%3 Jul →
dust213–10-0.0116%3 Jul →
dust213–40.0615%3 Jul →
overpass13–90.1317%3 Jul →
dust213–60.1616%3 Jul →
anubis13–60.0010%3 Jul →
overpass8–130.0318%3 Jul →
mirage13–50.1122%3 Jul →
cache6–130.0720%3 Jul →
anubis13–90.0319%2 Jul →
dust28–130.0219%2 Jul →
dust29–13-0.0221%2 Jul →
inferno9–130.058%2 Jul →
inferno5–13-0.0417%2 Jul →
inferno7–13-0.0524%1 Jul →
mirage4–130.0114%1 Jul →
dust213–70.0421%1 Jul →
dust213–10-0.0312%1 Jul →
ancient13–110.0617%1 Jul →
mirage10–130.0112%1 Jul →
overpass13–1-0.0215%1 Jul →
dust29–120.0320%1 Jul →
mirage13–60.0116%30 Jun →
mirage6–13-0.0325%30 Jun →
nuke3–13-0.0617%30 Jun →
anubis13–3-0.044%29 Jun →
inferno13–110.0217%29 Jun →
ancient9–60.0026%29 Jun →
anubis13–60.0221%29 Jun →
inferno13–60.0226%29 Jun →
mirage0–13-0.0225%29 Jun →
inferno13–50.0425%29 Jun →
mirage13–10.1532%29 Jun →
office13–70.1829%21 Jun →
dust28–130.0821%21 Jun →
inferno7–90.1122%20 Jun →
mirage13–90.0125%20 Jun →
cache13–70.0515%13 Jun →
inferno13–90.0516%13 Jun →
dust213–11-0.0214%10 Jun →
inferno13–80.1325%7 Jun →
vertigo13–50.0312%6 Jun →
ancient5–13-0.0820%30 May →
overpass13–50.1122%30 May →
cache13–100.1028%30 May →
dust26–130.0518%30 May →
anubis13–80.0730%30 May →
mirage13–80.0813%24 May →

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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