LitAndPoppin — CS2 Stats

76561199467798625[U:1:1507532897]

447Tracked matches41%Win rate2023Tracked since
511Hours in CS
CSDB Rating4.7 Developing
Premier CS Rating16,564Purple band · top ~22.2% of ranked players (population est.)
CSDB Leaderboard#27491 of 50208 tracked
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 rate47.5%44.2%47.1%meets
Shot accuracy3.9%11.6%12.8%8.9% short
Kill/death ratio1.061.031.080.02 short
Match win rate45.5%45.2%46.6%1.1% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.

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CSDB.GGLitAndPoppinPREMIER16,564 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning39
Utility56

0–100 skill scores via Leetify.

Recent form

COLD45523Last 10045%Win rateLLLLWLLLWL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim5.6
Aggression2.7
Utility5.6
Positioning3.9
Opening Duels0.6

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 76% 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. 651ms 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

Aim5.6
Positioning3.9
Utility5.6
Mechanics7.3
Opening Duels1.2
Win Impact2.1

Composite 4.7/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time649ms−36ms
first ⅓ avg 685ms → last ⅓ avg 649ms
Headshot accuracy19.3%−3.4%
first ⅓ avg 22.7% → last ⅓ avg 19.3%

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

0.10Best rating — train 13–1
131Biggest win — overpass
4Longest win streak
L4Current streak
98In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB2091145%-0.01
dust2B20101050%-0.01
mirageC146843%-0.02
nukeD91811%-0.00
infernoC94544%-0.02
ancientS64267%-0.01
trainD51420%0.01
vertigoA53260%-0.01
anubisA53260%0.03
overpass43175%0.03
office21150%-0.06
shelter1010%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,973Lifetime kills
1.06K/D · Top 50% of Purple band
1,810Matches
45.5%Match win rate · Top 50% of Purple band
47.5%Headshot % · Top 50% of Purple band
3.9%Shot accuracy
1,882MVPs
511Hours (in match)
880Bombs planted
262Bombs defused

Most-used weapons

Lifetime map wins

1,869dust2
1,661nuke
1,365inferno
824vertigo
618train
310office
124italy
86cbble

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.

19.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.4%Spray accuracy
82.7%Counter-strafing
11.0°Preaim
651msReaction time
25.1%T opening success
39.6%CT opening success
0.51Enemies flashed / flash
6.5%Flash assists
7.88HE damage / grenade
12.61Flashes / 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 25.052% — 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.

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

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0120%19 Aug
cache9–13-0.0521%16 Aug
nuke11–13-0.0229%13 Aug
nuke10–130.0223%13 Aug
inferno6–1-0.030%13 Aug
train9–13-0.0119%12 Aug
dust213–16-0.0221%10 Aug
dust211–13-0.0816%10 Aug
cache13–20.0219%9 Aug
dust210–130.0422%8 Aug
inferno13–40.0115%8 Aug
dust213–60.0321%8 Aug
ancient13–10-0.0213%8 Aug
dust27–13-0.0622%3 Aug
vertigo13–10-0.0117%3 Aug
mirage6–13-0.0817%31 Jul
vertigo12–120.0335%29 Jul
mirage9–13-0.0120%28 Jul
anubis13–80.0421%24 Jul
mirage14–16-0.0214%23 Jul
mirage5–13-0.0415%21 Jul
inferno13–4-0.0112%20 Jul
cache9–130.0113%20 Jul
dust213–100.0122%15 Jul
cache13–110.0021%12 Jul
mirage13–11-0.0122%11 Jul
cache10–50.0715%11 Jul
cache10–13-0.0318%9 Jul
shelter10–130.0824%9 Jul
cache9–13-0.0426%7 Jul
dust29–13-0.0221%7 Jul
anubis10–130.0428%6 Jul
inferno6–13-0.0319%6 Jul
nuke9–13-0.0221%4 Jul
mirage12–16-0.0330%4 Jul
mirage13–10-0.0123%3 Jul
anubis13–11-0.0031%3 Jul
dust213–9-0.0019%2 Jul
mirage13–11-0.0421%1 Jul
dust25–13-0.0531%1 Jul
mirage13–8-0.0916%30 Jun
overpass13–10.0613%23 Jun
nuke7–13-0.0131%23 Jun
ancient13–80.0336%23 Jun
nuke13–160.0324%20 Jun
train5–13-0.0219%19 Jun
ancient13–16-0.0444%19 Jun
nuke13–20.0525%16 Jun
anubis8–20.048%16 Jun
mirage9–130.0624%16 Jun
cache13–100.0322%10 Jun
overpass13–100.0026%7 Jun
dust211–13-0.0422%7 Jun
vertigo6–13-0.0513%5 Jun
nuke9–13-0.0013%29 May
inferno10–130.0220%27 May
dust28–13-0.0416%27 May
office5–13-0.0832%22 May
mirage12–12-0.0412%20 May
cache11–13-0.0719%20 May
dust213–80.0431%13 May
office13–8-0.0433%13 May
cache3–13-0.0412%12 May
dust213–100.0727%12 May
cache3–13-0.0732%11 May
inferno7–130.0015%5 May
cache13–3-0.0114%5 May
cache13–80.0231%5 May
cache13–110.0028%4 May
cache13–2-0.0824%3 May
cache8–130.0315%2 May
cache10–13-0.0618%2 May
cache9–30.0432%2 May
cache3–13-0.0211%2 May
cache12–12-0.0327%2 May
dust213–50.0019%27 Apr
train6–13-0.0117%27 Apr
dust213–110.0341%25 Apr
mirage13–90.059%25 Apr
dust213–3-0.0125%25 Apr
train13–10.1016%25 Apr
inferno9–13-0.0817%25 Apr
inferno3–13-0.0438%24 Apr
dust213–60.0523%21 Apr
vertigo13–90.0215%21 Apr
ancient13–9-0.0330%21 Apr
anubis10–130.0312%19 Apr
overpass10–130.0226%18 Apr
ancient13–110.0331%18 Apr
mirage10–13-0.0413%18 Apr
nuke11–13-0.0423%17 Apr
ancient11–13-0.0320%15 Apr
vertigo13–9-0.0519%8 Apr
dust26–13-0.0741%6 Apr
dust213–30.0327%6 Apr
train8–13-0.0319%5 Apr
overpass13–110.0620%5 Apr
inferno13–5-0.0122%29 Mar
dust21–13-0.0621%29 Mar
mirage13–11-0.0316%28 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 →