Peanut Enthusiast

Peanut Enthusiast — CS2 Stats

ZW76561198196774173[U:1:236508445]Steam profile ↗✓ No bans

195Tracked matches71%Win rate2024Tracked since
477Hours in CS
CSDB Rating7.5 StrongEntry Fragger
Premier CS Rating15,127Purple band · top ~27.9% of ranked players (population est.)
CSDB Leaderboard#21831 of 35917 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 rate42.5%44.1%47.2%4.7% short
Shot accuracy15.7%11.4%12.7%above
Kill/death ratio1.481.031.09above
Match win rate48.1%45.2%46.6%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGPeanut EnthusiastPREMIER15,127 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning70
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY612811Last 10061%Win rateWLLWLWLLWL

Last 10 vs previous 10: -60pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim8.3
Aggression10.0
Utility4.8
Positioning7.0
Opening Duels6.1

Excellent counter-strafingStrong CT-side opener

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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 66% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim8.3
Positioning7.0
Utility4.8
Mechanics8.5
Opening Duels6.1
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.05−0.01
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time610ms+43ms
first ⅓ avg 567ms → last ⅓ avg 610ms
Headshot accuracy22.2%+4.3%
first ⅓ avg 17.9% → last ⅓ avg 22.2%

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

0.27Best rating — anubis 13–4
130Biggest win — cache
10Longest win streak
34In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 78% over 9nukeWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
trainS1813572%0.06
infernoA169756%0.06
nukeB126650%0.04
mirageA116555%0.00
dust2A95456%0.02
ancientS97278%0.07
cacheS97278%0.03
anubisA85363%0.07
vertigo41325%0.03
overpass42250%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,937Lifetime kills
1.48K/D · Top 5% of Purple band
1,175Matches
48.1%Match win rate · Top 50% of Purple band
42.5%Headshot %
15.7%Shot accuracy · Top 25% of Purple band
3,315MVPs
477Hours (in match)
849Bombs planted
274Bombs defused

Most-used weapons

Lifetime map wins

1,883inferno
1,701cbble
1,343dust2
959nuke
813train
147vertigo
16dust
15office

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.

22.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
38.5%Spray accuracy
88.1%Counter-strafing
9.8°Preaim
602msReaction time
42.0%T opening success
66.5%CT opening success
0.39Enemies flashed / flash
3.6%Flash assists
8.67HE damage / grenade
10.99Flashes / 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 0.3914 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0018%13 Aug
dust28–130.0024%13 Aug
nuke10–130.0719%13 Aug
ancient13–30.0219%12 Aug
inferno10–130.0116%12 Aug
ancient13–60.1221%26 Jul
cache9–130.0221%26 Jul
train8–130.1322%26 Jul
mirage13–50.0217%25 Jul
nuke11–130.0819%5 Jul
inferno13–60.1032%3 Jul
ancient13–40.0925%3 Jul
dust213–100.0214%27 Jun
mirage13–20.1237%27 Jun
vertigo13–100.0718%27 Jun
train13–60.0423%22 Jun
cache13–8-0.0225%22 Jun
train13–90.0718%21 Jun
cache13–70.0524%15 Jun
nuke13–70.0516%7 Jun
mirage12–12-0.0012%7 Jun
anubis13–30.0420%5 Jun
nuke3–13-0.01100%5 Jun
inferno12–120.0118%5 Jun
cache13–20.0127%5 Jun
train13–40.0814%3 Jun
inferno13–40.0620%3 Jun
nuke10–130.0514%3 Jun
cache13–110.0619%3 Jun
ancient13–40.1114%27 May
train13–50.1316%27 May
cache8–13-0.0118%27 May
vertigo8–130.0214%27 May
anubis12–120.029%21 May
nuke13–50.0723%20 May
dust213–80.0819%20 May
mirage13–90.039%20 May
cache13–30.0110%12 May
mirage9–13-0.0520%12 May
dust211–130.0118%12 May
dust23–80.0113%10 May
mirage15–15-0.0413%9 May
anubis7–13-0.0027%9 May
overpass13–90.0512%9 May
inferno10–130.0117%9 May
nuke13–7-0.0411%6 May
inferno10–130.0915%6 May
cache13–40.0313%6 May
cache13–00.1210%6 May
train12–120.0831%6 May
ancient13–110.0014%30 Apr
inferno13–10.1617%30 Apr
dust24–13-0.085%30 Apr
overpass13–80.2112%29 Apr
anubis13–30.0920%22 Apr
train13–100.0117%22 Apr
train13–30.0619%22 Apr
inferno13–7-0.007%18 Apr
mirage13–60.0312%17 Apr
train13–90.0328%17 Apr
ancient13–30.0816%17 Apr
vertigo12–12-0.0214%15 Apr
train8–00.0610%15 Apr
train4–130.0020%13 Apr
ancient11–130.0114%13 Apr
dust213–90.1121%12 Apr
mirage12–12-0.0014%12 Apr
inferno13–50.0212%12 Apr
overpass9–130.0314%12 Apr
anubis13–30.0815%12 Apr
train12–120.0614%12 Apr
inferno13–80.0824%12 Apr
mirage4–13-0.0813%12 Apr
dust213–70.0617%12 Apr
nuke13–50.0011%12 Apr
inferno12–120.0414%11 Apr
nuke10–130.0315%11 Apr
train9–13-0.0217%11 Apr
anubis8–130.0113%11 Apr
ancient13–40.139%11 Apr
mirage13–60.029%11 Apr
nuke13–110.0220%11 Apr
dust28–30.0126%11 Apr
inferno12–120.0815%11 Apr
train13–90.0813%9 Apr
anubis13–40.2713%9 Apr
inferno10–130.0812%9 Apr
inferno13–00.1611%8 Apr
train13–70.0919%5 Apr
inferno13–50.0533%5 Apr
train13–30.0736%1 Apr
anubis13–70.0620%30 Mar
vertigo2–130.0732%30 Mar
ancient12–120.0420%30 Mar
train13–70.0221%25 Mar
nuke9–130.1023%21 Mar
overpass11–130.0311%21 Mar
train13–70.0025%20 Mar
inferno13–70.0923%20 Mar
nuke13–70.0323%19 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →