KuKu Pachu

KuKu Pachu — CS2 Stats

PK76561198105667736[U:1:145402008]Steam profile ↗

2,213Tracked matches43%Win rate2021Tracked since
1,686Hours in CS13Hrs last 2 wks
CSDB Rating4.7 DevelopingHybrid Rifler
CSDB Leaderboard#17884 of 18861 tracked
FaceitLevel 7 · 1,650 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

1,650Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,650
  • Next: Level 9 at 1,751 101 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGKuKu PachuFACEITLevel 7 · 1,650 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,650csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63
Positioning56
Utility38

0–100 skill scores via Leetify.

Recent form

COLD49447Last 10049%Win rateWLLLLLWWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.0
Utility3.8
Positioning5.6
Opening Duels2.3
Clutch3.6

Strong 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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim6.3
Positioning5.6
Utility3.8
Mechanics5.8
Opening Duels2.6
Win Impact2.8

Composite 4.7/10 (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 time616ms−39ms
first ⅓ avg 655ms → last ⅓ avg 616ms
Headshot accuracy17.6%−2.8%
first ⅓ avg 20.4% → last ⅓ avg 17.6%

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

0.12Best rating — inferno 9–5
131Biggest win — nuke
9Longest win streak
1110In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 68% over 25ancientWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
nukeS2517868%0.01
ancientD1851328%-0.01
anubisC1771041%-0.01
cacheB137654%0.02
infernoC114736%0.00
overpassA74357%0.01
mirage21150%-0.01
boulder1010%-0.00
shelter110100%0.03
train1010%0.05
office1010%-0.03
italy110100%0.05
warden110100%0.11
alpine110100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,005Lifetime kills
0.93K/D
2,281Matches
50.9%Match win rate · Top 25% of tracked players
44.2%Headshot %
8.3%Shot accuracy
4,902MVPs
931Hours (in match)
2,077Bombs planted
620Bombs defused

Most-used weapons

Lifetime map wins

3,156inferno
2,790nuke
1,535dust2
991vertigo
740office
489train
178italy
8lake

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

Faceit stats

Combat

327Matches
50%Win rate
0.96Avg K/D
76.6ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis8159%0.9915.7
Ancient7651%0.9616.2
Nuke5149%0.9914.8
Mirage4549%1.0214.2
Inferno1741%0.9214.7
Dust21315%0.7212.9
Cache1136%1.0115.0
Vertigo729%0.7912.7

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.

17.0%Headshot accuracy
35.1%Accuracy (enemy spotted)
43.7%Spray accuracy
75.9%Counter-strafing
11.5°Preaim
626msReaction time
27.8%T opening success
50.8%CT opening success
0.43Enemies flashed / flash
6.4%Flash assists
7.94HE damage / grenade
5.08Flashes / 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 0.4284 — below the 0.5 mark we flag

    Grenade Lineups
  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 27.8199% — below the 40% mark we flag

Spend your practice time on Ancient

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–3-0.0113%28 Aug
nuke5–13-0.0120%27 Aug
ancient10–130.1012%25 Aug
nuke7–13-0.0411%24 Aug
anubis10–13-0.0816%23 Aug
ancient14–16-0.0219%20 Aug
ancient13–110.0016%20 Aug
cache13–110.0039%14 Aug
cache10–130.0116%12 Aug
anubis5–13-0.029%11 Aug
inferno4–90.0616%10 Aug
nuke13–80.0525%30 Jul
anubis13–11-0.0214%30 Jul
inferno8–80.0233%25 Jul
cache9–130.0926%24 Jul
ancient13–6-0.0024%24 Jul
ancient7–130.0022%23 Jul
anubis13–7-0.0429%20 Jul
cache13–50.0219%20 Jul
ancient5–13-0.0216%14 Jul
anubis13–8-0.0213%14 Jul
inferno9–50.1225%14 Jul
inferno6–9-0.0411%14 Jul
boulder11–13-0.0014%9 Jul
shelter13–110.0317%9 Jul
ancient14–16-0.0113%8 Jul
nuke6–130.0814%8 Jul
cache5–13-0.0416%7 Jul
nuke16–130.0615%6 Jul
nuke13–110.0213%6 Jul
inferno8–13-0.0417%6 Jul
anubis11–13-0.0512%6 Jul
inferno16–140.0310%6 Jul
nuke4–13-0.0414%6 Jul
inferno12–120.0116%4 Jul
anubis8–13-0.0215%3 Jul
nuke13–100.1017%3 Jul
ancient13–80.0216%3 Jul
ancient8–130.0225%2 Jul
nuke13–1-0.0111%2 Jul
nuke13–11-0.0024%1 Jul
mirage15–15-0.0316%1 Jul
overpass6–130.0034%1 Jul
ancient8–13-0.044%1 Jul
ancient15–15-0.0010%1 Jul
cache13–90.0225%30 Jun
ancient13–11-0.0516%25 Jun
inferno13–80.0035%25 Jun
nuke13–9-0.0112%25 Jun
nuke13–7-0.0413%24 Jun
ancient11–13-0.0214%24 Jun
anubis11–130.0014%23 Jun
anubis13–50.0611%23 Jun
overpass8–13-0.0215%23 Jun
nuke13–80.0417%20 Jun
nuke15–15-0.0124%20 Jun
train12–120.0519%18 Jun
overpass13–100.0629%16 Jun
ancient0–13-0.0567%16 Jun
nuke7–13-0.0010%14 Jun
cache8–13-0.0226%14 Jun
anubis13–30.1122%14 Jun
cache13–40.0416%13 Jun
inferno11–13-0.0022%13 Jun
ancient5–13-0.0320%10 Jun
nuke13–70.0318%9 Jun
inferno5–13-0.0929%9 Jun
anubis13–9-0.0315%6 Jun
cache13–90.0117%6 Jun
cache13–100.1028%3 Jun
nuke13–7-0.0010%3 Jun
anubis14–160.009%29 May
overpass15–150.0218%29 May
anubis13–100.0814%29 May
cache11–13-0.0217%25 May
nuke4–13-0.0721%25 May
overpass13–11-0.0117%14 May
ancient12–16-0.0314%14 May
anubis4–13-0.0828%10 May
cache8–130.0119%8 May
nuke13–9-0.0023%4 May
cache13–80.0128%4 May
nuke13–50.0616%4 May
anubis7–13-0.0211%21 Apr
nuke9–13-0.0124%21 Apr
nuke13–6-0.0222%20 Apr
ancient10–13-0.0424%18 Apr
office9–13-0.0324%2 Apr
nuke13–110.1124%2 Apr
anubis2–13-0.0826%2 Apr
anubis11–130.0414%2 Apr
inferno16–13-0.0421%1 Apr
overpass13–90.0013%1 Apr
nuke13–9-0.0123%30 Mar
mirage13–70.0126%30 Mar
overpass13–6-0.0020%30 Mar
ancient13–60.0028%30 Mar
italy13–110.0514%29 Mar
warden13–40.1143%29 Mar
alpine13–30.0720%29 Mar

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 →