pepsi

pepsi — CS2 Stats

76561199121927830[U:1:1161662102]Steam profile ↗1 game ban

196Tracked matches60%Win rate2026Tracked since
232Hours in CS22Hrs last 2 wks
CSDB Rating4.3 Developing
Premier CS Rating15,711Purple band · top ~25.6% of ranked players (population est.)
CSDB Leaderboard#17580 of 29265 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate44.0%44.1%47.2%3.2% short
Shot accuracy0.1%11.4%12.7%12.7% short
Kill/death ratio0.701.031.090.39 short
Match win rate52.3%45.2%46.6%above

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.

Share this profile

CSDB.GGpepsiPREMIER15,711 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning41
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY52408Last 10052%Win rateLWWWLWLWWL

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

Player DNA

Aim5.0
Aggression2.5
Utility2.1
Positioning4.1
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 70% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 629ms 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

Aim5.0
Positioning4.1
Utility2.1
Mechanics5.6
Opening Duels0.0
Win Impact8.3

Composite 4.3/10 (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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time618ms−107ms
first ⅓ avg 726ms → last ⅓ avg 618ms
Headshot accuracy15.6%−3.4%
first ⅓ avg 19.0% → last ⅓ avg 15.6%

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.

Highlights

0.06Best rating — train 13–5
130Biggest win — mirage
11Longest win streak
45In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 73% over 15infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B24131154%-0.05
mirageD1551033%-0.05
cacheS1511473%-0.05
ancientB158753%-0.03
anubisB136746%-0.05
infernoD61517%-0.05
train440100%0.01
overpass41325%-0.04
fachwerk220100%-0.02
nuke110100%0.02
boulder1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

3,726Lifetime kills
0.70K/D
367Matches
52.3%Match win rate · Top 10% of Purple band
44.0%Headshot %
0.1%Shot accuracy
361MVPs
126Hours (in match)
403Bombs planted
65Bombs defused

Most-used weapons

Lifetime map wins

1,182dust2
207train
192inferno
52vertigo
27nuke

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.

15.3%Headshot accuracy
31.4%Accuracy (enemy spotted)
29.2%Spray accuracy
75.2%Counter-strafing
9.1°Preaim
629msReaction time
23.9%T opening success
28.8%CT opening success
0.39Enemies flashed / flash
5.9%Flash assists
4.31HE damage / grenade
2.06Flashes / 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. 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 0.3938 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 23.9342% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.038%29 Aug
cache13–11-0.0312%29 Aug
dust213–9-0.0023%29 Aug
train13–90.0111%28 Aug
inferno7–13-0.0617%28 Aug
ancient13–10.059%28 Aug
dust23–13-0.0925%28 Aug
cache13–5-0.017%28 Aug
mirage11–6-0.0130%27 Aug
inferno7–13-0.046%26 Aug
ancient12–12-0.048%26 Aug
mirage6–13-0.0715%26 Aug
dust212–12-0.0430%25 Aug
ancient6–13-0.0821%25 Aug
overpass12–12-0.0422%24 Aug
dust211–13-0.0510%23 Aug
anubis13–70.0221%19 Aug
dust213–10-0.0820%19 Aug
dust26–13-0.0417%17 Aug
anubis13–10-0.0215%17 Aug
ancient12–12-0.0216%16 Aug
nuke9–10.0214%16 Aug
mirage4–13-0.0811%16 Aug
cache12–12-0.0116%16 Aug
dust213–3-0.0122%16 Aug
train13–50.0612%16 Aug
anubis5–13-0.0713%15 Aug
train13–9-0.0517%11 Aug
ancient13–5-0.067%11 Aug
cache13–7-0.058%6 Aug
ancient13–8-0.039%6 Aug
inferno5–13-0.039%5 Aug
dust213–30.0136%5 Aug
ancient10–13-0.0218%5 Aug
dust213–4-0.0622%3 Aug
anubis7–13-0.1113%1 Aug
dust213–16-0.0723%31 Jul
anubis13–5-0.0424%31 Jul
cache13–11-0.0224%31 Jul
mirage13–9-0.0615%31 Jul
dust213–10-0.0733%29 Jul
fachwerk13–9-0.0615%29 Jul
ancient13–3-0.025%29 Jul
ancient13–9-0.0312%28 Jul
ancient9–13-0.0213%27 Jul
dust213–11-0.0317%26 Jul
boulder1–13-0.0520%26 Jul
anubis4–13-0.0510%26 Jul
cache6–13-0.1315%26 Jul
inferno4–13-0.0823%26 Jul
anubis10–13-0.0726%26 Jul
cache5–13-0.0926%25 Jul
anubis11–13-0.0713%25 Jul
mirage8–130.0219%25 Jul
ancient13–11-0.0418%23 Jul
cache13–6-0.0618%23 Jul
inferno6–13-0.0612%19 Jul
mirage13–0-0.0312%19 Jul
anubis13–10-0.0111%19 Jul
dust211–13-0.0615%19 Jul
mirage6–13-0.1327%19 Jul
anubis12–12-0.0615%17 Jul
dust27–13-0.0919%17 Jul
cache13–10-0.0714%9 Jul
dust213–6-0.0633%9 Jul
fachwerk13–10.036%9 Jul
overpass11–13-0.039%8 Jul
dust213–8-0.0519%8 Jul
cache13–2-0.0725%8 Jul
dust213–2-0.0824%7 Jul
ancient13–6-0.0315%6 Jul
mirage13–4-0.0620%6 Jul
dust213–8-0.0913%6 Jul
train13–30.0417%5 Jul
cache13–8-0.1017%5 Jul
overpass13–40.0221%5 Jul
ancient13–9-0.0528%5 Jul
dust213–8-0.0420%5 Jul
mirage3–13-0.0832%4 Jul
anubis5–13-0.1227%4 Jul
dust29–13-0.0626%4 Jul
overpass5–13-0.1114%3 Jul
dust213–1-0.0228%2 Jul
cache7–13-0.099%1 Jul
ancient8–13-0.0310%1 Jul
anubis13–10-0.045%1 Jul
dust28–13-0.1016%30 Jun
mirage9–13-0.0727%30 Jun
cache13–50.0421%30 Jun
dust22–13-0.0525%30 Jun
mirage0–5-0.0411%30 Jun
inferno13–6-0.0126%30 Jun
cache13–6-0.0330%29 Jun
mirage7–13-0.0715%29 Jun
anubis13–6-0.0410%29 Jun
dust211–13-0.0111%28 Jun
ancient12–12-0.0712%26 Jun
mirage12–12-0.0921%26 Jun
cache13–7-0.0714%24 Jun
mirage13–2-0.0022%24 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →