Zeewoo — CS2 Stats

76561198168828514[U:1:208562786]✓ No bans

456Tracked matches39%Win rate2021Tracked since
CSDB Rating5.5 SolidAggressive Rifler
Premier CS Rating10,241Blue band · top ~53.6% of ranked players (population est.)
CSDB Leaderboard#24048 of 33234 tracked
FaceitLevel 5 · 1,099 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGZeewooFACEITLevel 5 · 1,099 ELOSTANDINGTop 67.6% of rankedPREMIER10,241 · Blue bandcsdb.gg/stats

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Performance scores

Aim83
Positioning54
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50482Last 10050%Win rateLWLWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.08 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression7.2
Utility4.8
Positioning5.4
Opening Duels3.0
Clutch6.0

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.

Your pro match

ropz

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower opening-duel success.

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. 586ms 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

Aim8.3
Positioning5.4
Utility4.8
Mechanics7.4
Opening Duels3.0
Win Impact1.4

Composite 5.5/10 (Solid), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time597ms−42ms
first ⅓ avg 639ms → last ⅓ avg 597ms
Headshot accuracy26.2%+5.1%
first ⅓ avg 21.1% → last ⅓ avg 26.2%

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

0.30Best rating — dust2 13–0
130Biggest win — dust2
5Longest win streak
59In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 63% over 16anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B28151354%0.06
nukeA1710759%0.05
mirageA1610663%0.04
ancientC114736%0.08
cacheB105550%0.04
infernoC83538%0.03
anubisD72529%0.02
overpass31233%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches
67%Win rate
1.47Avg K/D
77.0ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
100%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.649.0
Train1100%0.9313.0
Inferno10%1.2123.0
Mirage1100%0.7311.0

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.

26.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
32.9%Spray accuracy
83.5%Counter-strafing
8.5°Preaim
586msReaction time
36.4%T opening success
47.6%CT opening success
0.38Enemies flashed / flash
3.4%Flash assists
16.24HE damage / grenade
4.86Flashes / 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 0.3822 — 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 36.4274% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0728%29 Aug
mirage13–50.1629%29 Aug
anubis8–130.0435%29 Aug
dust213–00.3020%29 Aug
cache9–130.0521%28 Aug
cache13–70.0824%28 Aug
ancient13–50.1222%28 Aug
nuke13–70.1323%28 Aug
ancient6–130.0626%28 Aug
dust25–130.0038%27 Aug
dust211–130.1132%26 Aug
anubis2–13-0.0328%26 Aug
dust213–80.0121%25 Aug
mirage5–4-0.0836%24 Aug
inferno5–13-0.1025%24 Aug
mirage13–100.0621%23 Aug
anubis8–130.0222%20 Aug
dust215–150.0632%17 Aug
mirage5–13-0.0220%16 Aug
nuke5–130.0539%16 Aug
cache9–13-0.0723%16 Aug
mirage5–13-0.0422%16 Aug
inferno8–130.0224%16 Aug
nuke13–90.1332%16 Aug
mirage4–13-0.0012%15 Aug
dust215–150.0924%14 Aug
cache0–13-0.0516%13 Aug
nuke13–80.0526%12 Aug
ancient12–160.0321%11 Aug
dust213–80.0040%10 Aug
ancient11–130.1324%8 Aug
mirage13–90.0732%7 Aug
dust213–90.0526%7 Aug
cache13–80.0718%7 Aug
ancient2–130.1222%6 Aug
dust29–130.0024%6 Aug
anubis11–13-0.0417%5 Aug
ancient13–40.0911%5 Aug
dust213–80.0628%4 Aug
nuke13–100.1130%3 Aug
nuke13–70.0328%3 Aug
dust28–130.0724%2 Aug
ancient13–160.0419%1 Aug
nuke6–130.0522%31 Jul
anubis13–20.1015%31 Jul
inferno3–13-0.0122%31 Jul
dust211–130.0621%31 Jul
mirage5–130.0419%29 Jul
inferno11–130.0119%25 Jul
dust213–10-0.0230%18 Jul
dust213–90.0114%18 Jul
nuke13–90.0518%17 Jul
inferno8–20.1250%17 Jul
nuke13–90.1130%16 Jul
ancient7–130.0527%16 Jul
dust213–100.0614%15 Jul
nuke13–40.1415%15 Jul
dust213–20.0731%14 Jul
ancient13–20.2318%14 Jul
inferno11–13-0.0016%13 Jul
ancient7–13-0.0214%10 Jul
cache13–90.1219%10 Jul
cache11–130.0420%10 Jul
cache13–90.1020%10 Jul
mirage13–40.1228%9 Jul
dust24–13-0.0213%9 Jul
cache11–10.0132%9 Jul
cache14–160.0224%9 Jul
nuke10–13-0.0520%29 Jun
mirage13–100.0325%29 Jun
anubis1–13-0.0724%9 May
dust28–130.0431%9 May
nuke10–13-0.0421%8 May
inferno13–80.0921%8 May
overpass16–140.1214%8 May
dust213–80.1026%8 May
mirage13–80.0614%7 May
overpass13–16-0.0118%7 May
nuke6–130.0322%7 May
ancient13–100.1016%6 May
mirage13–110.0718%6 May
dust28–130.0218%6 May
nuke13–70.0312%5 May
dust211–130.0925%5 May
dust213–90.1218%5 May
overpass9–130.1020%4 May
inferno13–110.0921%4 May
nuke3–130.0619%4 May
nuke13–90.0315%3 May
anubis13–110.0819%3 May
dust23–130.1321%2 May
dust213–90.0324%2 May
nuke6–11-0.0121%2 May
dust213–100.0525%2 May
dust213–70.1328%1 May
dust216–130.0326%1 May
mirage13–50.0327%30 Apr
mirage10–130.0728%30 Apr
mirage13–100.1023%29 Apr
mirage6–13-0.0814%29 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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