lemon

lemon — CS2 Stats

76561198761278521[U:1:801012793]Steam profile ↗✓ No bans

224Tracked matches27%Win rate2026Tracked since
CSDB Rating1.7 LearningPositional Player
WingmanSilver I
Ladder ranks via Leetify

Performance scores

Aim18
Positioning28
Utility15

0–100 skill scores via Leetify.

Recent form

COLD30–65–5Last 10030%Win rateLLLLLLLLLL

Last 10 vs previous 10: −70pp win rate · −0.11 avg rating · +0.6pp headshot accuracy · −56ms reaction

Win rate down 70pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 11%
  • Avg reaction 789ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 11%
  • Avg reaction 719ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 747ms

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).

Aim1.8
Utility1.5
Positioning2.8
Opening Duels0.0

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

m0NESY

Plays most like m0NESY 74% 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. 751ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim1.8
Positioning2.8
Utility1.5
Mechanics2.5
Opening Duels0.0
Win Impact0.0

Composite 1.7/10 (Learning), 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-0.06−0.04
first ⅓ avg -0.02 → last ⅓ avg -0.06
Reaction time715ms−25ms
first ⅓ avg 741ms → last ⅓ avg 715ms
Headshot accuracy10.6%−3.4%
first ⅓ avg 14.0% → last ⅓ avg 10.6%

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

0.26Best match rating · 9–1 · nuke, 29 May →
100%Best headshot accuracy · 0–6 · inferno, 11 Jun →
445msFastest reaction time · 0–9 · inferno, 2 Sept →
13–2Biggest win · dust2, 26 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L10Current streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 36% over 11mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD3010–2033%-0.04
nukeD289–1932%-0.02
dust2C114–736%-0.05
mirageD91–811%-0.04
debris—42–250%-0.07
vertigo—41–325%-0.19
anubis—31–233%0.01
cache—31–233%-0.07
overpass—30–30%-0.11
poseidon—31–233%-0.14
ancient—20–20%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.3%Headshot accuracy
30.5%Accuracy (enemy spotted)
29.9%Spray accuracy
61.2%Counter-strafing
11.0°Preaim
751msReaction time
24.7%T opening success
20.9%CT opening success
0.25Enemies flashed / flash
2.3%Flash assists
5.47HE damage / grenade
4.20Flashes / 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 11.346% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 751.0647ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2543 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–12-0.0418%24 Oct →
debris3–9-0.1510%24 Oct →
nuke6–13-0.077%22 Oct →
anubis0–130.0110%20 Oct →
inferno2–9-0.2010%18 Oct →
mirage10–13-0.1117%6 Oct →
inferno7–9-0.039%4 Oct →
nuke7–9-0.0111%4 Oct →
vertigo1–9-0.240%4 Oct →
inferno4–9-0.1514%1 Oct →
anubis16–130.0312%1 Oct →
inferno9–30.0618%1 Oct →
nuke9–30.1623%30 Sept →
dust25–13-0.1017%30 Sept →
nuke9–70.0812%30 Sept →
cache1–8-0.070%29 Sept →
dust27–1-0.017%28 Sept →
cache13–3-0.050%27 Sept →
inferno9–40.010%27 Sept →
mirage6–13-0.0512%27 Sept →
inferno7–13-0.0717%27 Sept →
dust213–20.0623%26 Sept →
overpass5–9-0.059%26 Sept →
mirage1–10-0.0725%26 Sept →
dust213–40.020%26 Sept →
poseidon1–9-0.2517%25 Sept →
vertigo0–5-0.270%24 Sept →
inferno13–50.0312%23 Sept →
vertigo9–3-0.020%22 Sept →
nuke1–9-0.195%22 Sept →
dust210–13-0.0818%22 Sept →
dust29–13-0.0911%19 Sept →
nuke6–9-0.018%18 Sept →
inferno4–9-0.080%18 Sept →
nuke6–9-0.0820%13 Sept →
mirage10–130.0216%12 Sept →
overpass6–9-0.0410%10 Sept →
nuke13–7-0.072%10 Sept →
inferno7–9-0.110%10 Sept →
inferno3–13-0.0025%9 Sept →
inferno5–9-0.0413%6 Sept →
inferno2–9-0.2413%6 Sept →
mirage13–110.039%6 Sept →
nuke4–13-0.120%5 Sept →
inferno9–50.033%5 Sept →
anubis3–120.0014%3 Sept →
dust23–13-0.1213%3 Sept →
inferno0–9-0.1233%2 Sept →
inferno8–80.123%2 Sept →
ancient7–13-0.037%31 Aug →
poseidon6–9-0.1115%30 Aug →
poseidon9–7-0.0510%30 Aug →
dust25–13-0.0812%30 Aug →
nuke8–80.009%30 Aug →
dust23–12-0.100%29 Aug →
cache2–13-0.100%29 Aug →
nuke2–9-0.2510%29 Aug →
debris9–6-0.006%29 Aug →
nuke6–13-0.075%29 Aug →
mirage1–130.0117%29 Aug →
mirage4–13-0.080%29 Aug →
inferno8–8-0.010%26 Aug →
inferno3–90.010%1 Aug →
vertigo1–9-0.2222%30 Jul →
nuke9–10.2227%30 Jul →
inferno4–8-0.130%28 Jul →
inferno2–9-0.2029%28 Jul →
debris1–9-0.260%17 Jul →
debris9–30.1311%17 Jul →
mirage9–13-0.094%17 Jul →
nuke5–9-0.0211%16 Jul →
nuke8–80.0014%16 Jul →
nuke9–60.0430%16 Jul →
nuke8–80.0815%15 Jul →
overpass0–9-0.2414%14 Jul →
nuke7–9-0.0123%14 Jul →
dust213–60.004%12 Jul →
inferno2–9-0.140%12 Jul →
nuke1–6-0.170%7 Jul →
nuke9–20.0724%21 Jun →
inferno0–6-0.16100%11 Jun →
nuke2–9-0.1811%11 Jun →
nuke6–9-0.004%11 Jun →
mirage4–13-0.077%8 Jun →
inferno3–9-0.2011%6 Jun →
nuke4–9-0.0114%3 Jun →
inferno2–9-0.0510%2 Jun →
nuke0–7-0.230%30 May →
inferno9–60.0517%30 May →
inferno9–20.0417%30 May →
nuke9–40.0615%29 May →
nuke9–10.2627%29 May →
inferno9–40.2327%29 May →
inferno9–60.1522%29 May →
inferno9–7-0.017%29 May →
nuke6–10.110%27 May →
inferno9–60.2614%27 May →
inferno7–9-0.166%26 May →
dust21–13-0.070%26 May →
nuke4–9-0.133%26 May →

Match data via Leetify.

Recent teammates

Milestones

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

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