ZooWoo

ZooWoo — CS2 Stats

FR76561199066496860[U:1:1106231132]Steam profile ↗✓ No bans

1,665Tracked matches33%Win rate2020Tracked since
2,169Hours in CS38Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 10 · 1,622 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,622 → 1,622
+51Tracked matches · now 1,665
−23.3ppWin rate · 56.7% → 33.3%

Rating over time

1,622Highest Faceit ELO seen on CSDB
51Days played since 2026-04-16

Faceit ELO

  • At peak — 1,622
  • Next: Level 9 at 1,751 — 129 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-10-04
  • Level 7 first seen 2026-10-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches59——
Win rate44%——
K/D0.96——
Headshot %60%——

Measured 4 Oct 2026 → 5 Nov 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 Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate46.8%50.9%
Shot accuracy13.9%13.7%
Kill/death ratio1.011.09
Match win rate43.2%48.4%

Share this profile

CSDB.GGZooWooFACEITLevel 10 · 1,622 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,622csdb.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

Aim76
Positioning65
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLWWLWLWLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.7pp headshot accuracy · −64ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 551ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 583ms

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 (+1.9 against its own average).

Aim7.6
Utility5.1
Positioning6.5
Opening Duels3.1
Clutch3.8

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

iM

Plays most like iM 96% playstyle similarity

Most alike: utility contribution, positioning 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. 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

Aim7.6
Positioning6.5
Utility5.1
Mechanics5.9
Opening Duels4.7
Win Impact0.0

Composite 5.4/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time581ms−29ms
first ⅓ avg 611ms → last ⅓ avg 581ms
Headshot accuracy22.8%+4.4%
first ⅓ avg 18.4% → last ⅓ avg 22.8%

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

0.14Best match rating · 13–6 · anubis, 12 Jul →
44%Best headshot accuracy · 6–13 · dust2, 4 Jul →
406msFastest reaction time · 13–2 · ancient, 5 Oct →
13–2Biggest win · ancient, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 75% over 8dust2Weakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
dust2C3011–1937%-0.00
infernoB189–950%0.01
anubisB157–847%-0.01
nukeB147–750%0.02
ancientS86–275%0.02
mirageA85–363%-0.01
cacheB63–350%-0.01
overpass—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,218Lifetime kills
1.01K/D
2,877Matches
43.2%Match win rate
46.8%Headshot %
13.9%Shot accuracy · Top 50% of Level 10 players
5,679MVPs
1,740Hours (in match)
2,874Bombs planted
703Bombs defused

Most-used weapons

AK-4720,430
AWP2,795
MAC-101,935
MP91,722
FAMAS1,524
Knife1,424

Lifetime map wins

7,926inferno
5,519dust2
2,085vertigo
1,260nuke
444train
65lake
19safehouse
18ar_shoots

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

Faceit stats

Combat

1,576Matches
50%Win rate
1.04Avg K/D
81.4ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust219643%1.0415.3
Mirage16846%1.0715.7
Inferno16355%1.1415.6
Anubis15359%1.2117.3
Ancient9555%1.0715.7
Cache3339%0.9615.3
Nuke3250%1.1216.3
Overpass1040%1.2217.2

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.

22.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
40.5%Spray accuracy
76.5%Counter-strafing
9.7°Preaim
583msReaction time
47.7%T opening success
49.6%CT opening success
0.49Enemies flashed / flash
5.7%Flash assists
7.19HE damage / grenade
8.58Flashes / 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 0.4921 — 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.

37% win rate across 30 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
dust217–19-0.0423%5 Nov →
cache13–9-0.0213%4 Nov →
inferno13–60.0635%4 Nov →
dust211–130.0017%4 Nov →
nuke13–40.1119%4 Nov →
nuke11–13-0.0523%4 Nov →
ancient13–110.0825%4 Nov →
anubis6–13-0.0317%3 Nov →
nuke6–130.0431%3 Nov →
inferno11–130.0330%3 Nov →
dust24–13-0.0025%2 Nov →
dust211–13-0.0321%28 Oct →
ancient13–9-0.0023%28 Oct →
dust210–130.0226%28 Oct →
dust213–7-0.0813%27 Oct →
anubis22–190.0624%27 Oct →
dust27–13-0.0212%27 Oct →
dust212–16-0.0128%26 Oct →
dust26–13-0.0415%26 Oct →
inferno4–130.0121%26 Oct →
inferno13–40.0824%26 Oct →
nuke10–130.0228%26 Oct →
mirage11–13-0.0419%24 Oct →
dust213–9-0.0030%24 Oct →
dust28–13-0.0415%24 Oct →
nuke3–13-0.0012%17 Oct →
inferno6–13-0.0233%17 Oct →
cache23–25-0.0219%17 Oct →
nuke14–160.0128%17 Oct →
cache13–80.0627%17 Oct →
dust213–40.0733%16 Oct →
dust213–40.0835%6 Oct →
inferno6–13-0.088%5 Oct →
anubis7–13-0.058%5 Oct →
ancient13–20.0521%5 Oct →
dust211–13-0.0116%5 Oct →
dust26–13-0.0114%5 Oct →
anubis10–13-0.0321%1 Oct →
ancient13–6-0.0223%1 Oct →
inferno13–50.0516%1 Oct →
dust216–140.0119%1 Oct →
inferno8–13-0.0418%30 Sept →
anubis9–130.0125%30 Sept →
dust213–100.0417%21 Sept →
dust213–40.0120%21 Sept →
anubis13–80.0115%21 Sept →
nuke13–60.0823%21 Sept →
dust24–13-0.0418%21 Sept →
nuke13–9-0.0326%17 Sept →
nuke3–13-0.0222%16 Sept →
nuke13–100.1019%16 Sept →
nuke13–90.0219%16 Sept →
ancient7–13-0.027%16 Sept →
anubis13–90.0419%16 Sept →
inferno7–130.0120%2 Sept →
ancient13–80.0512%1 Sept →
ancient13–50.0812%1 Sept →
inferno13–11-0.029%1 Sept →
cache7–130.0118%31 Aug →
nuke6–13-0.0018%30 Aug →
dust210–130.0029%30 Aug →
inferno5–13-0.0127%30 Aug →
nuke13–90.0422%29 Aug →
inferno13–10-0.0216%29 Aug →
dust26–130.0015%26 Aug →
nuke13–80.0318%25 Aug →
dust26–13-0.0316%13 Aug →
cache8–13-0.0714%9 Aug →
dust27–130.0224%9 Aug →
cache13–6-0.0219%9 Aug →
inferno13–70.0714%6 Aug →
dust26–13-0.059%4 Aug →
ancient7–13-0.089%1 Aug →
anubis13–60.0018%30 Jul →
inferno13–40.0315%28 Jul →
dust213–5-0.0123%27 Jul →
anubis6–13-0.150%21 Jul →
mirage11–13-0.0513%20 Jul →
anubis13–8-0.0720%19 Jul →
dust213–60.0820%19 Jul →
mirage13–40.0816%15 Jul →
mirage16–130.0022%15 Jul →
anubis13–60.1419%12 Jul →
anubis9–13-0.028%10 Jul →
dust26–130.0144%4 Jul →
anubis13–10-0.0015%2 Jul →
inferno3–130.0320%30 Jun →
mirage13–110.0020%24 Jun →
inferno13–70.0325%24 Jun →
inferno13–80.0417%19 Jun →
mirage13–50.0121%16 Jun →
mirage13–10-0.0322%15 Jun →
inferno7–13-0.0214%11 Jun →
anubis8–13-0.0021%18 May →
anubis10–13-0.0230%15 May →
mirage9–13-0.0613%15 May →
dust213–9-0.0313%14 May →
overpass6–130.0125%13 May →
dust213–10-0.0125%16 Apr →
dust213–16-0.0316%16 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.