Lemonade — CS2 Stats

76561199127708105[U:1:1167442377]

375Tracked matches48%Win rate2021Tracked since
888Hours in CS12Hrs last 2 wks
CSDB Rating2.8 Learning
Premier CS Rating7,165Light Blue band · top ~68.4% of ranked players (population est.)
CSDB Leaderboard#13013 of 17235 tracked
Ladder ranks via Leetify

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CSDB.GGLemonadePREMIER7,165 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim22
Positioning31
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY42553Last 10042%Win rateWLWLWLLWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim2.2
Aggression1.0
Utility4.9
Positioning3.1
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 717ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.2
Positioning3.1
Utility4.9
Mechanics4.1
Opening Duels0.0
Win Impact4.4

Composite 2.8/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time722ms−36ms
first ⅓ avg 758ms → last ⅓ avg 722ms
Headshot accuracy14.5%−4.1%
first ⅓ avg 18.6% → last ⅓ avg 14.5%

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.

Highlights

0.17Best rating — dust2 13–2
130Biggest win — train
3Longest win streak
810In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 52% over 27cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB27141352%-0.04
dust2C25101540%0.00
infernoB178947%-0.02
ancientB84450%-0.02
cacheD61517%-0.01
anubisD61517%-0.03
overpass42250%-0.04
nuke31233%-0.07
train21150%-0.01
vertigo2020%-0.03

Across the last 100 tracked matches.

Lifetime stats

23,665Lifetime kills
0.96K/D
2,104Matches
38.6%Match win rate
48.9%Headshot % · Top 50% of tracked players
0.5%Shot accuracy
2,405MVPs
528Hours (in match)
700Bombs planted
126Bombs defused

Most-used weapons

Lifetime map wins

2,801office
2,569italy
971inferno
856dust2
529nuke
204train
96vertigo
16ar_shoots

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

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
29.6%Accuracy (enemy spotted)
26.6%Spray accuracy
68.5%Counter-strafing
12.1°Preaim
717msReaction time
18.2%T opening success
30.4%CT opening success
0.75Enemies flashed / flash
2.4%Flash assists
15.35HE damage / grenade
3.82Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.133° — above the 12° mark we flag

    Aim Training
  2. 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 14.5519% — below the 15% mark we flag

    Aim Training
  3. 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 717.2908ms — above the 700ms mark we flag

    Aim Training
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–80.0517%24 Aug
inferno9–13-0.0912%24 Aug
mirage13–10-0.088%18 Aug
mirage3–13-0.094%18 Aug
dust213–9-0.0018%17 Aug
cache8–13-0.066%16 Aug
ancient10–13-0.0610%16 Aug
mirage9–60.0014%16 Aug
mirage8–4-0.0135%16 Aug
mirage13–9-0.0413%16 Aug
dust210–13-0.0221%16 Aug
dust211–13-0.0115%10 Aug
mirage13–11-0.0313%10 Aug
ancient8–13-0.0510%10 Aug
anubis4–13-0.0417%9 Aug
dust213–5-0.0314%9 Aug
cache11–13-0.0416%3 Aug
dust213–6-0.0313%2 Aug
ancient3–13-0.0410%2 Aug
dust215–15-0.0118%28 Jul
mirage13–9-0.0911%28 Jul
inferno13–11-0.0116%21 Jul
mirage13–9-0.0314%12 Jul
cache5–130.0616%4 Jul
dust213–11-0.0213%4 Jul
cache13–90.0210%4 Jul
dust213–16-0.0413%29 Jun
mirage8–13-0.0210%14 Jun
dust211–13-0.0325%13 Jun
dust211–13-0.0026%8 Jun
train3–13-0.0610%7 Jun
mirage5–13-0.0619%7 Jun
vertigo2–13-0.0212%7 Jun
dust213–10-0.0218%31 May
inferno13–100.0224%31 May
mirage1–13-0.0713%31 May
ancient13–10.0116%26 May
dust28–13-0.0114%26 May
mirage13–110.0114%25 May
inferno13–80.0213%25 May
mirage13–6-0.0623%24 May
inferno14–16-0.0913%24 May
dust25–130.1110%24 May
dust26–130.006%24 May
dust27–130.0815%23 May
dust215–150.0017%23 May
mirage7–13-0.0519%22 May
dust213–60.0030%19 May
mirage1–13-0.0821%19 May
dust213–20.1720%18 May
mirage10–13-0.0618%18 May
dust213–16-0.0614%17 May
mirage13–90.0317%17 May
ancient13–10-0.0410%7 May
inferno13–7-0.0421%7 May
anubis8–13-0.0317%7 May
cache1–13-0.0218%6 May
cache8–13-0.0230%6 May
overpass16–12-0.0212%5 May
dust213–70.0224%5 May
mirage5–130.0020%5 May
anubis13–10-0.0722%27 Apr
train13–00.0430%25 Apr
dust211–13-0.0621%16 Apr
dust210–130.0721%16 Apr
dust216–120.0127%12 Apr
overpass11–13-0.0424%12 Apr
mirage5–13-0.108%12 Apr
nuke10–1-0.0813%11 Apr
inferno1–13-0.0327%11 Apr
mirage13–9-0.039%11 Apr
inferno11–130.0323%8 Apr
vertigo6–13-0.0321%8 Apr
anubis5–130.0235%6 Apr
inferno16–130.0216%6 Apr
inferno10–13-0.0533%2 Apr
nuke4–13-0.0620%30 Mar
mirage13–11-0.0418%30 Mar
dust27–13-0.0315%29 Mar
ancient16–140.0422%25 Mar
overpass13–11-0.0516%24 Mar
anubis4–13-0.0313%24 Mar
inferno5–1-0.0010%24 Mar
mirage16–14-0.0315%23 Mar
inferno2–13-0.0530%23 Mar
nuke9–13-0.0733%22 Mar
inferno13–9-0.096%22 Mar
ancient13–60.0127%22 Mar
inferno13–6-0.0415%22 Mar
mirage7–13-0.0514%22 Mar
ancient7–13-0.029%22 Mar
inferno14–16-0.0123%22 Mar
mirage15–15-0.0614%22 Mar
inferno10–13-0.0120%17 Mar
overpass10–13-0.0623%17 Mar
mirage5–130.0317%16 Mar
anubis11–13-0.0224%16 Mar
inferno8–130.0326%15 Mar
dust213–9-0.0011%15 Mar
mirage9–13-0.0610%15 Mar

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 →