Lime

Lime — CS2 Stats

IN76561198022341527[U:1:62075799]Steam profile ↗✓ No bans

9,957Tracked matches48%Win rate2020Tracked since
8,716Hours in CS
CSDB Rating5.0 Developing
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#21823 of 56546 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.9%44.2%47.1%6.2% short
Shot accuracy14.6%11.6%12.8%above
Kill/death ratio0.931.031.080.15 short
Match win rate50.0%45.2%46.6%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLimePREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning43
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWWLWWLWLWL

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Aim5.7
Aggression3.7
Utility5.9
Positioning4.3
Opening Duels0.4
Clutch4.0

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

b1t

Plays most like b1t 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 41% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim5.7
Positioning4.3
Utility5.9
Mechanics6.8
Opening Duels1.3
Win Impact4.4

Composite 5.0/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time595ms−68ms
first ⅓ avg 663ms → last ⅓ avg 595ms
Headshot accuracy17.0%−2.0%
first ⅓ avg 18.9% → last ⅓ avg 17.0%

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

0.11Best rating — anubis 13–11
131Biggest win — ancient
6Longest win streak
W2Current streak
1510In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%-0.02
infernoA2213959%-0.01
mirageB189950%0.00
ancientA1610663%0.00
anubisS97278%0.02
cacheB63350%-0.02
nukeD61517%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

396,775Lifetime kills
0.93K/D
20,025Matches
50.0%Match win rate · Top 25% of Purple band
40.9%Headshot %
14.6%Shot accuracy · Top 50% of Purple band
60,983MVPs
8,716Hours (in match)
24,403Bombs planted
4,573Bombs defused

Most-used weapons

AK-47111,387
AWP39,454
P25015,541
MAC-1014,252
MP913,459
FAMAS11,863
Glock-1811,553

Lifetime map wins

49,112inferno
43,236dust2
11,076nuke
9,108vertigo
4,470train
2,467cbble
51office
36dust

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

Faceit stats

Combat

2,021Matches
50%Win rate
0.92Avg K/D
70.2ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis32156%0.9114.2
Mirage26849%0.8713.6
Ancient25448%0.8613.7
Inferno18648%0.9513.8
Dust214543%0.8813.7
Vertigo10750%0.8412.8
Nuke6534%0.7913.1
Overpass4363%0.9113.3

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.

16.8%Headshot accuracy
32.5%Accuracy (enemy spotted)
29.6%Spray accuracy
80.6%Counter-strafing
10.3°Preaim
598msReaction time
22.4%T opening success
40.8%CT opening success
0.52Enemies flashed / flash
3.1%Flash assists
10.18HE damage / grenade
11.77Flashes / 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

    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 22.4278% — below the 40% mark we flag

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.

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

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0313%30 Aug
inferno13–60.0018%30 Aug
mirage11–13-0.0016%30 Aug
mirage16–13-0.0214%30 Aug
ancient13–30.0119%30 Aug
dust210–13-0.0320%29 Aug
inferno13–7-0.0117%29 Aug
dust24–13-0.0620%29 Aug
dust216–120.0015%28 Aug
dust28–13-0.0626%28 Aug
mirage9–13-0.0322%28 Aug
dust22–13-0.1022%27 Aug
mirage14–160.0119%25 Aug
ancient9–130.0617%25 Aug
ancient1–130.0213%24 Aug
cache13–11-0.0122%24 Aug
mirage7–13-0.0515%24 Aug
nuke9–130.0720%24 Aug
inferno13–10-0.056%24 Aug
dust213–90.0216%24 Aug
inferno2–13-0.087%24 Aug
inferno13–11-0.0410%23 Aug
ancient13–20.0218%23 Aug
cache3–13-0.0429%23 Aug
dust213–70.0523%23 Aug
inferno13–11-0.0211%22 Aug
anubis9–130.0224%22 Aug
mirage15–150.0116%22 Aug
nuke16–130.0711%22 Aug
mirage8–130.0715%22 Aug
dust213–11-0.0424%21 Aug
ancient13–8-0.0011%19 Aug
inferno8–13-0.0113%19 Aug
dust213–70.0318%17 Aug
ancient13–50.0722%17 Aug
mirage13–2-0.0210%16 Aug
anubis13–110.1118%16 Aug
mirage11–13-0.0215%13 Aug
dust216–12-0.0319%12 Aug
mirage13–50.1118%12 Aug
ancient13–10.1018%12 Aug
inferno16–130.0326%11 Aug
mirage2–13-0.0412%11 Aug
inferno6–13-0.0221%11 Aug
dust29–13-0.0318%11 Aug
anubis13–6-0.0115%11 Aug
ancient6–13-0.0726%10 Aug
mirage13–110.0625%10 Aug
ancient9–13-0.0221%10 Aug
dust213–90.0217%10 Aug
anubis13–7-0.0335%10 Aug
mirage3–13-0.0510%10 Aug
dust213–11-0.0619%9 Aug
ancient5–13-0.0713%9 Aug
nuke14–16-0.0113%9 Aug
cache6–13-0.0515%9 Aug
inferno7–40.0117%9 Aug
dust214–160.0324%9 Aug
inferno10–13-0.0119%9 Aug
inferno13–10-0.0015%8 Aug
dust213–9-0.0418%8 Aug
dust28–13-0.0321%8 Aug
dust29–13-0.0714%8 Aug
mirage13–110.0116%8 Aug
anubis11–13-0.0313%8 Aug
nuke7–13-0.028%8 Aug
inferno9–13-0.0124%8 Aug
inferno10–130.049%5 Aug
ancient13–110.0115%5 Aug
dust214–160.0125%5 Aug
dust21–13-0.0412%5 Aug
nuke11–13-0.0111%5 Aug
cache13–60.0131%5 Aug
ancient13–11-0.0120%4 Aug
mirage13–80.0125%4 Aug
mirage13–40.0719%4 Aug
inferno13–8-0.0510%4 Aug
dust214–16-0.0331%4 Aug
ancient3–13-0.058%4 Aug
anubis13–10-0.0220%4 Aug
anubis13–110.0522%4 Aug
inferno8–13-0.0318%4 Aug
cache13–8-0.0224%3 Aug
nuke15–150.0217%3 Aug
dust213–8-0.0219%2 Aug
ancient13–5-0.028%2 Aug
anubis16–140.0118%2 Aug
inferno13–11-0.0519%2 Aug
mirage16–12-0.0415%2 Aug
anubis13–40.0716%2 Aug
inferno8–130.0525%2 Aug
ancient13–20.0110%2 Aug
dust213–80.0422%2 Aug
inferno13–50.0222%2 Aug
ancient13–110.0223%2 Aug
mirage13–80.0021%2 Aug
cache8–13-0.0223%30 Jul
inferno9–130.0111%30 Jul
dust214–16-0.0133%30 Jul
inferno13–11-0.0620%30 Jul

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 →