PIKKUMYY

PIKKUMYY — CS2 Stats

FI76561198371667531[U:1:411401803]Steam profile ↗✓ No bans

421Tracked matches72%Win rate2020Tracked since
310Hours in CS
CSDB Rating4.6 Developing
Premier CS Rating16,291Purple band · top ~23.3% of ranked players (population est.)
CSDB Leaderboard#31598 of 57084 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), 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 rate42.1%44.2%47.1%5.0% short
Shot accuracy11.2%11.7%12.8%1.7% short
Kill/death ratio0.781.031.080.31 short
Match win rate46.4%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.

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CSDB.GGPIKKUMYYPREMIER16,291 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning42
Utility35

0–100 skill scores via Leetify.

Recent form

HOT50464Last 10050%Win rateWWWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.04 avg rating

Player DNA

Aim4.8
Aggression4.1
Utility3.5
Positioning4.2
Opening Duels0.3
Clutch4.0

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 73% playstyle similarity

Most alike: opening-fight frequency, 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. 593ms 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

Aim4.8
Positioning4.2
Utility3.5
Mechanics4.8
Opening Duels0.6
Win Impact10.0

Composite 4.6/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time580ms−72ms
first ⅓ avg 652ms → last ⅓ avg 580ms
Headshot accuracy14.3%+1.0%
first ⅓ avg 13.4% → last ⅓ avg 14.3%

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 — dust2 13–9
130Biggest win — inferno
11Longest win streak
W11Current streak
87In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 6trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA30171357%-0.04
dust2B2091145%-0.01
ancientB168850%-0.02
infernoA95456%-0.03
vertigoC94544%-0.04
anubisS64267%-0.04
trainC52340%-0.03
overpass31233%-0.06
nuke2020%-0.03

Across the last 100 tracked matches.

Lifetime stats

11,341Lifetime kills
0.78K/D
832Matches
46.4%Match win rate · Top 50% of Purple band
42.1%Headshot %
11.2%Shot accuracy
1,228MVPs
310Hours (in match)
920Bombs planted
115Bombs defused

Most-used weapons

Lifetime map wins

1,432inferno
758train
659vertigo
450dust2
148nuke
58office
15lake
9cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

75Matches
57%Win rate
0.71Avg K/D
57.5ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%0.7311.0
Ancient1283%0.7412.3
Anubis786%1.0212.7
Inferno683%0.738.0
Vertigo450%0.7512.5
Nuke333%0.9214.3
Overpass10%0.274.0
Train10%0.6815.0

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.

12.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.9%Spray accuracy
71.5%Counter-strafing
10.8°Preaim
593msReaction time
27.4%T opening success
34.7%CT opening success
0.47Enemies flashed / flash
6.9%Flash assists
8.77HE damage / grenade
2.95Flashes / 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 12.2441% — below the 15% mark we flag

    Aim Training
  2. 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 0.475 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.4134% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0412%22 Apr
mirage13–11-0.0213%22 Apr
ancient22–18-0.0110%21 Apr
mirage13–80.0117%10 Apr
dust213–60.0115%8 Apr
ancient13–7-0.045%7 Apr
dust213–100.0316%31 Mar
mirage13–50.037%31 Mar
anubis13–8-0.0512%30 Mar
mirage13–50.016%28 Mar
ancient13–90.0612%28 Mar
mirage11–13-0.0717%28 Mar
ancient6–13-0.073%28 Mar
inferno13–10-0.0413%28 Mar
anubis6–0-0.06100%28 Mar
dust28–13-0.0812%27 Mar
dust215–15-0.0420%27 Mar
mirage10–13-0.0710%25 Mar
ancient13–8-0.052%25 Mar
mirage10–13-0.097%24 Mar
dust20–100.0124%24 Mar
mirage13–9-0.0614%22 Mar
mirage13–6-0.0716%22 Mar
inferno13–00.0010%22 Mar
dust213–11-0.017%22 Mar
mirage13–11-0.0312%22 Mar
ancient6–13-0.0318%22 Mar
mirage16–14-0.004%21 Mar
ancient13–60.0116%21 Mar
dust214–16-0.009%21 Mar
dust213–90.0324%21 Mar
mirage13–8-0.026%20 Mar
ancient9–13-0.015%20 Mar
dust213–90.126%19 Mar
mirage7–13-0.0822%19 Mar
mirage10–13-0.038%19 Mar
dust23–13-0.0619%19 Mar
inferno13–80.0417%19 Mar
inferno3–13-0.0412%19 Mar
inferno8–13-0.1111%18 Mar
dust210–13-0.089%18 Mar
dust29–13-0.0415%18 Mar
mirage11–13-0.0717%17 Mar
dust25–13-0.0510%17 Mar
mirage2–13-0.0818%17 Mar
inferno2–13-0.0412%17 Mar
overpass13–11-0.0420%16 Mar
mirage6–130.0022%16 Mar
dust213–70.0210%16 Mar
dust211–13-0.0132%15 Mar
dust213–40.057%15 Mar
mirage15–15-0.0510%12 Mar
inferno13–11-0.0511%11 Mar
inferno13–50.0422%11 Mar
dust213–40.0118%10 Mar
dust213–60.014%9 Mar
overpass14–16-0.0411%6 Mar
dust29–13-0.0819%4 Mar
overpass5–13-0.0910%20 Feb
mirage10–13-0.0214%8 Feb
dust22–13-0.0110%8 Feb
ancient13–4-0.0313%5 Feb
train7–13-0.0612%19 Jan
train6–13-0.0111%19 Jan
ancient3–13-0.0913%18 Jan
ancient13–100.0312%17 Jan
train13–8-0.075%16 Jan
nuke9–13-0.0211%12 Jan
mirage9–13-0.0722%28 Nov
mirage13–60.0113%27 Nov
train13–50.0318%27 Nov
vertigo10–13-0.099%27 Nov
train12–12-0.0314%27 Nov
anubis5–13-0.0513%14 Oct
vertigo2–10-0.0814%29 Aug
vertigo8–13-0.0911%6 Jul
mirage13–8-0.046%6 Jul
nuke10–13-0.0415%6 Jul
inferno6–13-0.0811%6 Jul
ancient15–15-0.038%1 Jul
mirage10–13-0.055%25 Jun
vertigo13–5-0.0316%25 Jun
vertigo13–9-0.0220%6 Jun
mirage4–13-0.1114%6 Jun
vertigo13–40.0114%6 Jun
vertigo7–13-0.0020%5 Jun
mirage12–4-0.028%5 Jun
mirage13–40.0217%25 May
ancient14–16-0.067%23 Mar
ancient19–160.019%10 Mar
anubis13–11-0.0420%10 Mar
anubis13–60.0427%10 Mar
mirage13–40.008%10 Mar
ancient10–130.0314%8 Mar
vertigo13–10-0.0620%8 Mar
mirage13–9-0.074%2 Mar
mirage13–50.0033%27 Feb
anubis4–13-0.060%27 Feb
ancient7–13-0.123%27 Feb
vertigo11–13-0.0316%26 Feb

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 →