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Mr Pee Pee

Mr Pee Pee — CS2 Stats

76561198112562548[U:1:152296820]Steam profile ↗

1,797Tracked matches60%Win rate2023Tracked since
CSDB Rating4.4 Developing
Premier CS Rating17,342Purple band · top ~19.1% of ranked players (population est.)
CSDB Leaderboard#22702 of 43535 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMr Pee PeeFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER17,342 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning31
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLLLWWWLW

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

Player DNA

Aim4.4
Aggression0.9
Utility6.2
Positioning3.1
Opening Duels0.0
Clutch2.0

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 69% 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

T-side openings. Opening success drops from 36% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.4
Positioning3.1
Utility6.2
Mechanics3.8
Opening Duels0.8
Win Impact8.3

Composite 4.4/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time566ms−74ms
first ⅓ avg 640ms → last ⅓ avg 566ms
Headshot accuracy11.0%−2.2%
first ⅓ avg 13.2% → last ⅓ avg 11.0%

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.

Highlights

0.12Best rating — nuke 13–5
13–1Biggest win — vertigo
4Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 73% over 15mirageWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.04
anubisC177–1041%-0.04
dust2A159–660%-0.05
cacheB157–847%-0.03
nukeS1511–473%0.01
ancientC73–443%-0.04
vertigo—32–167%-0.02
train—31–233%-0.03
inferno—22–0100%0.02
overpass—20–20%-0.07
fachwerk—10–10%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

39Matches
46%Win rate
0.84Avg K/D
75.8ADR
34%Headshot %

Clutches & streaks

30%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke757%0.9912.3
Mirage714%0.5910.4
Vertigo729%0.9712.4
Ancient667%0.8011.8
Anubis667%0.7712.5
Overpass475%0.9911.8
Inferno20%0.7411.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.9%Spray accuracy
67.1%Counter-strafing
11.2°Preaim
569msReaction time
17.8%T opening success
36.2%CT opening success
0.58Enemies flashed / flash
5.6%Flash assists
6.10HE damage / grenade
13.61Flashes / 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. 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 11.292% — below the 15% mark we flag

    Aim Training →
  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 17.8344% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0416%30 Aug →
mirage13–7-0.109%30 Aug →
dust24–13-0.076%29 Aug →
mirage11–13-0.069%28 Aug →
anubis10–13-0.036%28 Aug →
cache13–3-0.0116%27 Aug →
ancient13–6-0.065%27 Aug →
nuke13–50.0915%27 Aug →
cache9–13-0.0415%26 Aug →
anubis13–9-0.0211%24 Aug →
mirage13–10-0.068%24 Aug →
cache13–6-0.0210%24 Aug →
vertigo6–13-0.058%22 Aug →
dust210–13-0.0417%22 Aug →
vertigo13–10.0013%22 Aug →
anubis5–13-0.0510%22 Aug →
anubis6–13-0.077%22 Aug →
anubis13–8-0.045%21 Aug →
nuke3–13-0.0630%21 Aug →
cache13–11-0.0511%20 Aug →
dust213–9-0.1123%19 Aug →
dust216–14-0.049%19 Aug →
mirage10–130.0117%18 Aug →
cache13–7-0.0510%18 Aug →
mirage13–11-0.058%17 Aug →
cache4–13-0.105%17 Aug →
ancient16–12-0.0411%16 Aug →
dust213–4-0.0011%16 Aug →
dust213–10-0.0417%16 Aug →
ancient11–13-0.047%16 Aug →
anubis7–13-0.1011%16 Aug →
nuke16–140.008%15 Aug →
anubis7–130.012%15 Aug →
mirage10–13-0.038%15 Aug →
anubis13–8-0.0513%15 Aug →
mirage9–13-0.059%14 Aug →
train5–13-0.0510%14 Aug →
train1–11-0.0819%13 Aug →
ancient13–9-0.0122%11 Aug →
anubis6–13-0.0816%10 Aug →
mirage2–13-0.058%9 Aug →
nuke13–20.0812%9 Aug →
cache4–13-0.0523%9 Aug →
nuke13–110.049%8 Aug →
mirage12–16-0.063%6 Aug →
nuke13–11-0.054%6 Aug →
nuke6–13-0.0323%5 Aug →
cache4–13-0.0011%4 Aug →
cache13–2-0.0216%3 Aug →
vertigo13–10-0.038%3 Aug →
cache9–130.0013%2 Aug →
mirage13–80.024%2 Aug →
cache8–13-0.0913%1 Aug →
dust213–10-0.099%1 Aug →
cache6–13-0.048%31 Jul →
anubis6–13-0.0618%30 Jul →
dust215–15-0.068%29 Jul →
dust213–8-0.0611%29 Jul →
anubis2–12-0.0031%28 Jul →
mirage10–13-0.0414%26 Jul →
cache13–20.038%26 Jul →
dust210–13-0.0715%21 Jul →
anubis13–10-0.0410%21 Jul →
inferno13–8-0.0012%21 Jul →
inferno13–110.0410%19 Jul →
nuke13–50.1212%18 Jul →
mirage7–13-0.1216%18 Jul →
nuke6–13-0.0422%18 Jul →
mirage6–13-0.0712%17 Jul →
cache16–12-0.052%17 Jul →
ancient13–16-0.0811%16 Jul →
fachwerk3–110.0219%14 Jul →
mirage11–13-0.0415%14 Jul →
nuke13–7-0.0323%14 Jul →
cache15–15-0.0220%10 Jul →
mirage13–9-0.0710%9 Jul →
dust211–13-0.075%9 Jul →
mirage13–3-0.058%9 Jul →
nuke13–7-0.0211%9 Jul →
anubis5–130.0113%8 Jul →
mirage12–12-0.0413%8 Jul →
mirage16–14-0.035%6 Jul →
anubis3–13-0.0811%5 Jul →
dust213–11-0.0022%5 Jul →
dust213–11-0.039%4 Jul →
dust213–9-0.0031%3 Jul →
anubis13–40.055%3 Jul →
dust27–13-0.0212%2 Jul →
nuke13–70.0229%2 Jul →
mirage8–13-0.0615%1 Jul →
ancient12–120.079%1 Jul →
nuke13–60.0116%1 Jul →
nuke9–13-0.0118%27 Jun →
ancient6–13-0.089%27 Jun →
mirage9–130.0615%24 Jun →
overpass11–13-0.039%19 Jun →
overpass9–13-0.103%16 Jun →
train13–20.0420%14 Jun →
anubis13–4-0.0210%14 Jun →
nuke13–80.014%14 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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