peepee — CS2 Stats

76561198961446422[U:1:1001180694]

694Tracked matches55%Win rate2020Tracked since
774Hours in CS7Hrs last 2 wks
CSDB Rating5.3 Developing
Premier CS Rating14,138Blue band · top ~33% of ranked players (population est.)
CSDB Leaderboard#14519 of 21919 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGpeepeeFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,138 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning52
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateWLLWWLWLWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim5.5
Aggression7.3
Utility5.8
Positioning5.2
Opening Duels3.9

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 53% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim5.5
Positioning5.2
Utility5.8
Mechanics6.5
Opening Duels3.9
Win Impact6.7

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time606ms−9ms
first ⅓ avg 615ms → last ⅓ avg 606ms
Headshot accuracy21.6%+3.4%
first ⅓ avg 18.2% → last ⅓ avg 21.6%

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

0.20Best rating — ancient 13–2
131Biggest win — inferno
7Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A25141156%0.01
nukeB179853%0.01
ancientS1711665%0.04
mirageB115645%-0.01
anubisS118373%0.03
infernoD92722%-0.01
cacheD93633%-0.01
overpass1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,189Lifetime kills
0.96K/D
1,050Matches
43.1%Match win rate
52.0%Headshot % · Top 50% of tracked players
5.0%Shot accuracy
2,225MVPs
393Hours (in match)
653Bombs planted
241Bombs defused

Most-used weapons

Lifetime map wins

2,302dust2
1,306inferno
1,032nuke
551vertigo
180train
14office
13ar_shoots
10bank

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.

22.6%Headshot accuracy
29.9%Accuracy (enemy spotted)
29.8%Spray accuracy
79.3%Counter-strafing
11.6°Preaim
608msReaction time
38.1%T opening success
53.2%CT opening success
0.64Enemies flashed / flash
11.1%Flash assists
6.20HE damage / grenade
13.03Flashes / 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 38.0595% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–140.0430%25 Aug
inferno3–13-0.0710%25 Aug
cache8–13-0.0719%24 Aug
nuke13–40.0018%24 Aug
cache13–11-0.019%21 Aug
dust211–130.0422%17 Aug
anubis13–9-0.0128%17 Aug
inferno10–13-0.0130%17 Aug
anubis16–140.0232%17 Aug
ancient13–50.1020%15 Aug
nuke9–130.0231%12 Aug
dust27–13-0.0219%11 Aug
inferno9–6-0.0321%11 Aug
inferno8–8-0.0919%10 Aug
nuke8–80.1413%10 Aug
ancient9–13-0.0115%10 Aug
mirage13–110.1026%10 Aug
nuke14–16-0.0219%8 Aug
dust213–100.0538%7 Aug
dust213–100.0833%7 Aug
ancient13–5-0.027%6 Aug
dust213–70.0322%1 Aug
nuke2–13-0.0720%31 Jul
dust211–130.0223%28 Jul
inferno13–10.0319%27 Jul
ancient13–110.0623%27 Jul
nuke13–6-0.0124%26 Jul
mirage14–16-0.0517%24 Jul
nuke13–40.0525%21 Jul
dust213–100.0114%21 Jul
dust23–13-0.0412%18 Jul
nuke15–150.0428%9 Jul
anubis8–130.0128%27 Jun
nuke13–90.0221%14 Jun
nuke13–90.0223%11 Jun
nuke13–30.0225%11 Jun
dust213–100.0616%10 Jun
ancient13–60.0917%10 Jun
dust216–12-0.0214%4 Jun
nuke13–80.0619%1 Jun
nuke5–13-0.0213%1 Jun
cache8–130.0325%30 May
ancient13–20.2031%30 May
cache4–13-0.076%20 May
cache6–13-0.0713%18 May
dust29–13-0.0415%18 May
dust210–130.0718%15 May
overpass8–130.0429%14 May
inferno11–130.0326%14 May
anubis16–130.0316%13 May
nuke10–13-0.0413%4 May
mirage10–13-0.0418%3 May
cache11–130.0125%3 May
cache13–60.0338%1 May
cache13–40.0824%1 May
cache7–130.0116%30 Apr
mirage8–130.0220%28 Apr
inferno3–130.0321%31 Mar
dust213–11-0.0523%20 Mar
anubis13–70.1020%20 Mar
mirage9–13-0.0524%16 Mar
dust28–13-0.0423%15 Mar
dust29–13-0.0114%13 Mar
dust213–20.0533%10 Mar
nuke8–130.0112%5 Mar
inferno10–13-0.0215%28 Feb
ancient6–13-0.0114%27 Feb
ancient13–20.0718%27 Feb
mirage13–60.0022%26 Feb
nuke13–110.0013%26 Feb
ancient13–9-0.0222%25 Feb
dust213–30.0420%25 Feb
dust25–00.1229%25 Feb
ancient13–50.0926%25 Feb
dust24–13-0.108%25 Feb
ancient11–130.0519%24 Feb
dust213–50.0330%24 Feb
ancient12–16-0.0520%23 Feb
dust29–13-0.0611%22 Feb
anubis13–110.0715%21 Feb
dust210–130.0318%20 Feb
ancient8–13-0.0020%18 Feb
mirage13–80.0212%18 Feb
anubis13–60.0626%17 Feb
nuke13–11-0.0419%17 Feb
anubis9–13-0.016%17 Feb
ancient13–80.0823%16 Feb
inferno10–13-0.0014%16 Feb
dust213–7-0.0215%13 Feb
ancient13–80.0310%11 Feb
ancient7–130.0012%11 Feb
dust216–12-0.0320%7 Feb
anubis13–100.0617%7 Feb
ancient13–90.0425%7 Feb
mirage4–13-0.0621%7 Feb
anubis13–3-0.0311%7 Feb
mirage8–13-0.0422%6 Feb
mirage13–9-0.0129%5 Feb
dust213–30.0413%5 Feb
anubis8–130.0512%3 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →