Waku Waku

Waku Waku — CS2 Stats

76561198995839407[U:1:1035573679]Steam profile ↗✓ No bans

854Tracked matches43%Win rate2021Tracked since
882Hours in CS4Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGWaku WakuFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning61
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY46468Last 10046%Win rateWLWLWWLTLL

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.

Aim6.5
Aggression7.8
Utility3.9
Positioning6.1
Opening Duels3.6

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 52% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim6.5
Positioning6.1
Utility3.9
Mechanics6.9
Opening Duels3.6
Win Impact2.6

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time604ms−37ms
first ⅓ avg 641ms → last ⅓ avg 604ms
Headshot accuracy17.9%−0.3%
first ⅓ avg 18.2% → last ⅓ avg 17.9%

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

0.19Best rating — dust2 13–8
130Biggest win — agency
6Longest win streak
76In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 54% over 24anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B30151550%0.00
mirageB24131154%0.01
cacheB126650%0.00
anubisD81713%-0.03
vertigoC73443%0.01
nukeD51420%0.02
inferno42250%-0.02
train31233%0.02
ancient32167%0.00
overpass21150%-0.02
jura1010%-0.10
agency110100%0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,777Lifetime kills
0.82K/D
1,208Matches
52.6%Match win rate · Top 25% of tracked players
48.0%Headshot % · Top 50% of tracked players
14.8%Shot accuracy · Top 50% of tracked players
2,277MVPs
516Hours (in match)
1,416Bombs planted
189Bombs defused

Most-used weapons

Lifetime map wins

2,995dust2
1,295vertigo
1,225inferno
521train
421nuke
35office
18cbble
12aztec

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

Faceit stats

Combat

44Matches
52%Win rate
0.82Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%1.2117.0
Vertigo10%0.5811.0

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.

17.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.6%Spray accuracy
80.9%Counter-strafing
10.1°Preaim
607msReaction time
36.9%T opening success
52.1%CT opening success
0.47Enemies flashed / flash
8.8%Flash assists
7.41HE damage / grenade
5.96Flashes / 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 0.4717 — 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 36.8846% — below the 40% mark we flag

Spend your practice time on Anubis

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–2-0.0124%15 Aug
anubis10–13-0.0622%15 Aug
dust213–100.0318%15 Aug
mirage0–13-0.1121%15 Aug
dust213–11-0.0113%15 Aug
dust213–70.0118%9 Aug
cache6–13-0.0412%8 Aug
mirage15–15-0.0020%8 Aug
cache11–130.0220%3 Aug
nuke2–13-0.0621%29 Jul
mirage13–11-0.0121%29 Jul
anubis8–13-0.0511%29 Jul
dust213–100.0021%29 Jul
dust213–7-0.0515%29 Jul
anubis3–13-0.0627%25 Jul
dust211–13-0.065%25 Jul
inferno4–13-0.0612%20 Jul
dust213–50.1716%20 Jul
mirage11–00.0617%20 Jul
mirage13–6-0.0227%20 Jul
dust213–10-0.0419%15 Jul
inferno13–10.0216%9 Jul
dust26–130.0221%9 Jul
mirage6–130.0221%9 Jul
anubis10–13-0.0019%22 Jun
inferno10–13-0.0318%22 Jun
mirage10–130.0720%14 Jun
cache2–9-0.065%11 Jun
mirage10–13-0.037%11 Jun
dust212–12-0.0220%11 Jun
dust213–80.0231%10 Jun
nuke10–130.0711%10 Jun
mirage12–12-0.0121%9 Jun
vertigo4–130.0020%9 Jun
dust22–13-0.027%9 Jun
mirage3–130.0414%9 Jun
dust212–120.0614%6 Jun
nuke6–13-0.0110%6 Jun
cache13–90.1013%3 Jun
nuke5–130.0714%3 Jun
vertigo13–80.0217%3 Jun
mirage2–13-0.0319%30 May
cache6–130.0521%28 May
dust213–80.1928%28 May
cache13–60.0119%24 May
cache12–120.0423%23 May
cache13–6-0.0323%23 May
cache13–20.0518%23 May
mirage13–10-0.059%18 May
cache8–13-0.0310%29 Apr
cache13–7-0.0313%29 Apr
train13–100.0917%12 Apr
anubis12–120.0415%12 Apr
vertigo8–130.000%11 Apr
dust213–100.0316%11 Apr
dust26–130.0614%9 Apr
vertigo13–90.0530%9 Apr
dust21–3-0.070%4 Apr
dust26–13-0.0518%26 Mar
dust213–9-0.0217%23 Feb
vertigo13–70.0233%23 Feb
mirage13–80.0324%18 Feb
mirage13–30.0421%18 Feb
dust29–13-0.0024%18 Feb
overpass7–13-0.0314%24 Jan
anubis13–4-0.0217%24 Jan
dust21–13-0.0718%11 Jan
dust213–10.0715%11 Jan
anubis10–13-0.0313%10 Jan
dust213–8-0.0512%10 Jan
mirage13–80.0812%4 Jan
dust213–110.0414%4 Jan
dust213–8-0.106%4 Jan
mirage13–70.0513%4 Jan
inferno13–11-0.0328%4 Jan
mirage9–13-0.0623%3 Jan
ancient13–10-0.0718%3 Jan
overpass16–14-0.0221%3 Jan
ancient13–30.0920%26 Nov
mirage6–13-0.0131%28 Oct
dust211–13-0.0219%24 Oct
ancient6–13-0.0130%23 Oct
mirage3–13-0.0420%10 Sept
train2–13-0.0619%10 Sept
train11–130.039%26 Aug
mirage13–90.0318%26 Aug
anubis12–12-0.0316%26 Aug
dust21–13-0.0617%26 Aug
vertigo9–13-0.136%26 Aug
dust22–13-0.0811%18 May
jura10–13-0.1010%17 May
agency13–00.1238%17 May
nuke13–110.0125%20 Feb
vertigo12–120.1119%14 Feb
dust26–13-0.0018%5 Feb
mirage13–50.0117%3 Feb
mirage13–50.0521%2 Feb
mirage13–110.0519%2 Feb
dust211–130.0217%2 Feb
mirage13–60.0627%2 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 →