Pee Girl >~<

Pee Girl >~< — CS2 Stats

76561198991161608[U:1:1030895880]Steam profile ↗✓ No bans

467Tracked matches38%Win rate2026Tracked since
603Hours in CS81Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim45
Positioning61
Utility5

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateLLLLLLWLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · +17ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 653ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 621ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 612ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3 against its own average).

Aim4.5
Utility0.5
Positioning6.1
Opening Duels2.8

Strong T-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 73% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5
Positioning6.1
Utility0.5
Mechanics4.0
Opening Duels5.1
Win Impact1.0

Composite 3.9/10 (Learning), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time624ms−66ms
first ⅓ avg 690ms → last ⅓ avg 624ms
Headshot accuracy14.0%+2.2%
first ⅓ avg 11.8% → last ⅓ avg 14.0%

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.

Personal bests

0.16Best match rating · 13–6 · nuke, 10 Oct →
43%Best headshot accuracy · 13–10 · nuke, 12 Oct →
461msFastest reaction time · 13–8 · nuke, 15 Oct →
13–2Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
3–4In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 8 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
nukeC8531–5436%-0.01
office—41–325%-0.03
train—30–30%-0.01
vertigo—31–233%0.06
inferno—22–0100%0.03
mirage—10–10%-0.08
cache—10–10%0.02
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

10,984Lifetime kills
0.84K/D
944Matches
46.5%Match win rate · Top 50% of tracked players
37.9%Headshot %
1.6%Shot accuracy
1,604MVPs
279Hours (in match)
1,178Bombs planted
212Bombs defused

Most-used weapons

Lifetime map wins

4,750nuke
653inferno
370vertigo
245dust2
207train
141office
8cbble
2ar_baggage

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.

14.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
40.4%Spray accuracy
68.1%Counter-strafing
12.9°Preaim
617msReaction time
73.3%T opening success
31.0%CT opening success
0.09Enemies flashed / flash
0.0%Flash assists
7.33HE damage / grenade
0.69Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.872° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.046% — below the 15% mark we flag

    Aim Training →
  3. 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 0.0915 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0316%16 Oct →
mirage1–13-0.0810%16 Oct →
nuke4–13-0.0014%15 Oct →
train7–13-0.0115%15 Oct →
nuke9–13-0.0213%15 Oct →
nuke3–130.0121%15 Oct →
nuke13–8-0.0416%15 Oct →
nuke8–130.017%15 Oct →
vertigo13–30.1014%14 Oct →
nuke11–13-0.0316%14 Oct →
nuke13–8-0.018%14 Oct →
nuke9–13-0.1011%14 Oct →
nuke4–13-0.0622%14 Oct →
nuke13–100.0112%14 Oct →
nuke13–5-0.0414%14 Oct →
nuke12–120.0818%14 Oct →
nuke9–130.159%14 Oct →
nuke7–13-0.0117%14 Oct →
train4–13-0.0515%13 Oct →
nuke13–8-0.0012%13 Oct →
nuke13–11-0.025%13 Oct →
office13–7-0.0110%13 Oct →
nuke13–90.0323%13 Oct →
nuke13–60.0212%13 Oct →
nuke8–130.015%12 Oct →
nuke7–130.0217%12 Oct →
nuke1–13-0.058%12 Oct →
nuke13–10-0.0143%12 Oct →
nuke5–13-0.016%12 Oct →
nuke9–13-0.0910%11 Oct →
nuke13–100.0310%11 Oct →
nuke9–13-0.019%11 Oct →
nuke8–130.0325%11 Oct →
nuke13–10-0.0812%11 Oct →
nuke5–13-0.1015%11 Oct →
nuke13–10-0.0312%11 Oct →
nuke10–13-0.0013%11 Oct →
nuke6–13-0.0510%11 Oct →
nuke12–12-0.0110%11 Oct →
nuke13–50.0232%11 Oct →
nuke12–120.029%11 Oct →
nuke5–13-0.074%11 Oct →
nuke6–13-0.0713%10 Oct →
nuke6–130.0911%10 Oct →
train3–130.0317%10 Oct →
nuke7–13-0.0116%10 Oct →
office6–13-0.013%10 Oct →
nuke13–80.089%10 Oct →
nuke13–40.136%10 Oct →
nuke13–60.1611%10 Oct →
vertigo10–130.1318%10 Oct →
nuke6–13-0.0214%10 Oct →
nuke13–9-0.0716%10 Oct →
nuke12–120.1120%10 Oct →
nuke7–130.109%10 Oct →
nuke0–13-0.0813%10 Oct →
nuke13–9-0.046%10 Oct →
nuke11–130.029%10 Oct →
office4–13-0.049%9 Oct →
nuke1–13-0.099%9 Oct →
nuke13–80.028%8 Oct →
nuke13–60.0118%8 Oct →
nuke6–130.0226%7 Oct →
nuke3–13-0.0611%7 Oct →
nuke13–11-0.0310%7 Oct →
vertigo2–13-0.0618%7 Oct →
nuke13–90.0916%7 Oct →
nuke13–70.058%7 Oct →
office7–13-0.059%7 Oct →
nuke13–20.0721%7 Oct →
nuke9–13-0.0617%7 Oct →
cache11–130.0213%7 Oct →
inferno13–40.0317%7 Oct →
nuke13–80.038%7 Oct →
nuke10–13-0.0010%7 Oct →
nuke10–13-0.0313%6 Oct →
nuke2–11-0.0326%6 Oct →
nuke13–80.0510%4 Oct →
nuke8–13-0.0717%4 Oct →
nuke8–13-0.0514%4 Oct →
nuke5–130.018%4 Oct →
nuke0–13-0.139%4 Oct →
nuke13–80.045%3 Oct →
nuke5–13-0.049%3 Oct →
nuke12–12-0.0110%3 Oct →
nuke13–8-0.0111%3 Oct →
nuke12–120.038%3 Oct →
nuke4–13-0.036%2 Oct →
nuke13–50.039%2 Oct →
nuke1–130.059%2 Oct →
nuke9–13-0.0113%2 Oct →
nuke5–13-0.116%2 Oct →
nuke4–13-0.013%1 Oct →
overpass2–1-0.0320%1 Oct →
inferno13–20.0327%1 Oct →
nuke8–13-0.0929%1 Oct →
nuke13–6-0.030%1 Oct →
nuke11–130.0211%1 Oct →
nuke13–8-0.057%1 Oct →
nuke3–13-0.087%30 Sept →

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 →

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