WubbaLubbaPuffPuff

WubbaLubbaPuffPuff — CS2 Stats

FI76561199832975493[U:1:1872709765]Steam profile ↗✓ No bans

271Tracked matches40%Win rate2026Tracked since
934Hours in CS130Hrs last 2 wks
CSDB Rating3.2 LearningSupport
Premier CS Rating13,275Blue band · top ~37.5% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,275 -282 16 Sept – 30 Sept · 5 days played
12,94913,581peak 13,58116 Sept30 Sept
13,581Peak Premier in tracked matches
18Days played since 2026-09-09

Premier CS Rating

  • 306 below peak (13,581)
  • Next: Purple band at 15,000 — 1,725 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches118——
Win rate43%——
K/D0.96——
Headshot %52%——

Measured 15 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate54.0%42.0%44.3%above
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.990.981.030.04 short
Match win rate41.6%43.8%45.2%3.7% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWubbaLubbaPuffPuffPREMIER13,275 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning43
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLWLLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.8pp headshot accuracy · +6ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 614ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 655ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 652ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim2.9
Utility5.1
Positioning4.3
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 64% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 660ms 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

Aim2.9
Positioning4.3
Utility5.1
Mechanics3.8
Opening Duels1.6
Win Impact1.7

Composite 3.2/10 (Learning), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time658ms+67ms
first ⅓ avg 591ms → last ⅓ avg 658ms
Headshot accuracy16.3%−6.8%
first ⅓ avg 23.1% → last ⅓ avg 16.3%

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.

Personal bests

0.31Best match rating · 9–3 · inferno, 25 Sept →
100%Best headshot accuracy · 13–1 · mirage, 16 Sept →
406msFastest reaction time · 8–8 · inferno, 25 Sept →
13–1Biggest win · mirage, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

vertigoBest map · 60% over 10cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%0.01
mirageB189–950%0.00
nukeA148–657%-0.01
infernoB126–650%0.02
anubisB115–645%-0.02
vertigoA106–460%-0.03
ancientC83–538%-0.00
cacheD51–420%-0.03
overpass—32–167%-0.03

Across the last 100 tracked matches.

Lifetime stats

8,561Lifetime kills
0.99K/D · Top 50% of Blue band
498Matches
41.6%Match win rate
54.0%Headshot % · Top 10% of Blue band
0.0%Shot accuracy
1,732MVPs
198Hours (in match)
389Bombs planted
138Bombs defused

Most-used weapons

Lifetime map wins

585inferno
512dust2
339nuke
315vertigo
17train

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.

14.8%Headshot accuracy
29.7%Accuracy (enemy spotted)
28.8%Spray accuracy
66.9%Counter-strafing
11.4°Preaim
660msReaction time
37.3%T opening success
35.2%CT opening success
0.63Enemies flashed / flash
4.9%Flash assists
9.32HE damage / grenade
6.81Flashes / 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 14.7941% — 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 37.325% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis16–14-0.075%7 Oct →
nuke9–130.0118%7 Oct →
vertigo13–40.035%7 Oct →
dust211–130.0214%7 Oct →
overpass8–13-0.0520%7 Oct →
ancient2–13-0.0816%7 Oct →
vertigo13–11-0.0517%7 Oct →
dust213–90.0124%7 Oct →
nuke13–50.0613%7 Oct →
mirage22–190.009%7 Oct →
inferno9–13-0.0513%1 Oct →
inferno13–9-0.0321%1 Oct →
inferno9–5-0.0029%1 Oct →
nuke11–13-0.0219%1 Oct →
mirage13–2-0.0023%30 Sept →
anubis10–13-0.0212%30 Sept →
dust25–130.0124%30 Sept →
ancient6–130.0114%30 Sept →
nuke13–8-0.0216%30 Sept →
anubis12–16-0.069%29 Sept →
nuke10–13-0.0112%29 Sept →
inferno13–10-0.078%29 Sept →
vertigo11–13-0.090%28 Sept →
inferno8–13-0.0414%28 Sept →
inferno9–40.0218%28 Sept →
anubis3–13-0.0413%28 Sept →
mirage8–13-0.067%27 Sept →
dust213–90.0153%27 Sept →
nuke13–4-0.0215%27 Sept →
mirage7–13-0.0416%27 Sept →
mirage4–13-0.0717%26 Sept →
inferno8–80.0232%26 Sept →
nuke5–13-0.0414%25 Sept →
dust26–13-0.0913%25 Sept →
ancient7–13-0.019%25 Sept →
cache11–13-0.0619%25 Sept →
mirage7–130.0223%25 Sept →
inferno8–8-0.0721%25 Sept →
inferno9–30.3127%25 Sept →
inferno1–130.1018%25 Sept →
anubis6–13-0.0215%25 Sept →
nuke13–80.0330%25 Sept →
mirage16–140.0245%24 Sept →
mirage6–10.1332%24 Sept →
mirage7–13-0.0413%24 Sept →
overpass13–8-0.0213%23 Sept →
cache6–130.0113%23 Sept →
anubis6–130.036%23 Sept →
ancient13–8-0.028%23 Sept →
dust213–100.0114%23 Sept →
mirage13–30.0610%23 Sept →
dust21–10-0.0026%23 Sept →
dust23–13-0.0814%23 Sept →
nuke13–7-0.0714%21 Sept →
anubis13–9-0.0318%21 Sept →
mirage14–16-0.0021%20 Sept →
nuke10–13-0.0021%20 Sept →
anubis13–70.0118%20 Sept →
mirage11–13-0.015%20 Sept →
inferno13–90.0617%20 Sept →
anubis13–90.0819%20 Sept →
dust213–7-0.085%20 Sept →
dust28–130.0212%20 Sept →
dust29–130.0626%20 Sept →
mirage8–13-0.0418%20 Sept →
nuke13–60.019%20 Sept →
mirage13–30.0418%19 Sept →
ancient13–60.0632%19 Sept →
vertigo25–280.0717%19 Sept →
cache11–13-0.0226%19 Sept →
dust211–13-0.0219%19 Sept →
inferno5–9-0.0575%17 Sept →
vertigo16–14-0.1213%16 Sept →
vertigo9–13-0.0612%16 Sept →
mirage13–1-0.02100%16 Sept →
mirage13–10-0.0529%16 Sept →
dust29–130.1422%16 Sept →
vertigo9–13-0.0519%16 Sept →
cache13–6-0.0416%16 Sept →
ancient13–6-0.0220%16 Sept →
overpass13–11-0.0112%15 Sept →
anubis13–60.0134%15 Sept →
dust213–110.0119%15 Sept →
nuke13–8-0.047%15 Sept →
dust214–160.0316%15 Sept →
mirage13–40.1024%15 Sept →
vertigo13–70.0219%15 Sept →
dust213–60.0331%15 Sept →
anubis11–13-0.0617%15 Sept →
dust219–170.0118%15 Sept →
cache10–13-0.0624%15 Sept →
ancient17–190.0119%14 Sept →
nuke13–110.059%14 Sept →
dust213–50.0311%14 Sept →
mirage22–250.0118%14 Sept →
ancient9–130.0216%14 Sept →
vertigo13–10-0.0619%9 Sept →
vertigo13–80.0323%9 Sept →
nuke6–13-0.0212%9 Sept →
dust213–7-0.0213%9 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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