ZOOO | ツ Bim Bam Boum ღ

ZOOO | ツ Bim Bam Boum ღ — CS2 Stats

FR76561199020110131[U:1:1059844403]Steam profile ↗✓ No bans

465Tracked matches69%Win rate2026Tracked since
CSDB Rating6.6 SolidPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,049 +2,088 30 May – 20 Jun · 8 days played
11,96114,049peak 14,04930 May20 Jun
14,049Peak Premier in tracked matches
16Days played since 2026-05-30

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

Performance scores

Aim69
Positioning73
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLLWWLWWWLW

Last 10 vs previous 10: −10pp win rate · −0.07 avg rating · −1.5pp headshot accuracy · −51ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 535ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 510ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 536ms

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: Positional Player — Positioning stands above the rest of this profile (+3.4 against its own average).

Aim6.9
Utility2.6
Positioning7.3
Opening Duels5.8
Clutch0.0

Limited utility dependence

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

s1mple

Plays most like s1mple 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 583ms 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

Aim6.9
Positioning7.3
Utility2.6
Mechanics7.4
Opening Duels6.1
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time561ms−68ms
first ⅓ avg 629ms → last ⅓ avg 561ms
Headshot accuracy14.0%+0.7%
first ⅓ avg 13.3% → last ⅓ avg 14.0%

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.

Personal bests

0.23Best match rating · 13–8 · train, 8 Aug →
44%Best headshot accuracy · 1–13 · train, 7 Jun →
375msFastest reaction time · 2–9 · inferno, 30 May →
13–1Biggest win · mirage, 9 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
7–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 78% over 9dust2Weakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%-0.00
dust2C219–1243%0.00
trainA1710–759%0.04
mirageS1310–377%0.01
nukeS97–278%0.02
cacheA74–357%-0.02
overpass—42–250%-0.00
anubis—31–233%0.03
ancient—21–150%0.02
poseidon—10–10%0.02
vertigo—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
1.05Avg K/D
87.9ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

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.

14.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
42.9%Spray accuracy
83.5%Counter-strafing
12.0°Preaim
583msReaction time
58.5%T opening success
50.7%CT opening success
0.36Enemies flashed / flash
8.3%Flash assists
8.51HE damage / grenade
2.13Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0039° — above the 12° mark we flag

    Aim Training →
  2. 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 14.0603% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3599 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass4–13-0.0313%24 Oct →
cache2–13-0.119%24 Oct →
cache13–90.014%24 Oct →
dust213–70.0511%24 Oct →
nuke6–13-0.026%24 Oct →
inferno9–6-0.0819%24 Oct →
inferno4–00.050%24 Oct →
inferno13–10-0.0225%27 Sept →
anubis8–13-0.0115%27 Sept →
cache13–7-0.0411%27 Sept →
inferno9–60.0618%8 Aug →
inferno8–80.1014%8 Aug →
nuke13–20.1113%8 Aug →
train13–30.0312%8 Aug →
train11–130.039%8 Aug →
train10–30.0213%8 Aug →
train13–80.2315%8 Aug →
train5–30.010%8 Aug →
dust213–40.0728%7 Aug →
inferno1–9-0.187%7 Aug →
inferno5–9-0.0517%7 Aug →
inferno9–50.0429%7 Aug →
mirage13–60.0025%21 Jun →
mirage13–50.0312%21 Jun →
overpass13–80.0715%20 Jun →
dust213–11-0.0114%20 Jun →
nuke13–90.034%20 Jun →
mirage13–10-0.0313%20 Jun →
train13–60.0115%20 Jun →
inferno13–110.0415%20 Jun →
inferno9–130.0330%19 Jun →
inferno8–80.0720%19 Jun →
dust210–130.0212%13 Jun →
cache6–13-0.0425%13 Jun →
dust215–150.039%13 Jun →
nuke16–12-0.0314%13 Jun →
inferno11–13-0.0315%12 Jun →
mirage9–2-0.0913%12 Jun →
dust25–13-0.0624%12 Jun →
dust28–130.0219%12 Jun →
inferno13–90.018%12 Jun →
dust23–13-0.0312%12 Jun →
anubis5–13-0.0717%9 Jun →
dust213–30.0214%9 Jun →
dust212–16-0.0515%9 Jun →
inferno1–13-0.0116%9 Jun →
dust213–50.0517%9 Jun →
mirage13–10.0614%9 Jun →
mirage13–11-0.0113%8 Jun →
ancient13–110.0513%8 Jun →
mirage16–120.0511%8 Jun →
dust213–50.1636%8 Jun →
train12–120.0724%8 Jun →
inferno10–130.0119%7 Jun →
ancient5–13-0.0116%7 Jun →
inferno11–130.0313%7 Jun →
inferno9–50.0227%7 Jun →
inferno9–10.2018%7 Jun →
dust213–30.0724%7 Jun →
cache13–50.0213%7 Jun →
mirage13–110.069%7 Jun →
inferno9–6-0.034%7 Jun →
train1–13-0.0644%7 Jun →
train13–100.0425%7 Jun →
train2–30.1236%7 Jun →
train13–20.1121%7 Jun →
train9–130.0631%7 Jun →
train4–00.0827%7 Jun →
train8–130.0228%7 Jun →
train0–5-0.0340%7 Jun →
anubis13–30.189%6 Jun →
inferno9–20.0919%6 Jun →
nuke13–6-0.034%6 Jun →
dust23–13-0.085%6 Jun →
cache13–10-0.014%6 Jun →
mirage13–40.0210%6 Jun →
nuke13–110.0311%5 Jun →
dust215–150.0216%5 Jun →
nuke13–90.086%5 Jun →
mirage6–13-0.0213%5 Jun →
dust213–4-0.0610%5 Jun →
cache11–130.024%5 Jun →
nuke3–90.0121%5 Jun →
poseidon4–90.0219%5 Jun →
dust213–100.0113%31 May →
vertigo6–130.0411%31 May →
overpass13–5-0.0512%31 May →
mirage13–90.0530%31 May →
mirage12–12-0.038%31 May →
train13–1-0.0311%31 May →
train13–60.037%31 May →
dust210–13-0.019%30 May →
inferno0–9-0.278%30 May →
inferno2–9-0.163%30 May →
dust28–13-0.0613%30 May →
overpass10–13-0.0011%30 May →
mirage10–13-0.0116%30 May →
nuke13–90.016%30 May →
dust29–130.0014%30 May →
dust24–13-0.0619%30 May →

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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