oogabooga — CS2 Stats

76561199558623459[U:1:1598357731]

1,013Tracked matches52%Win rate2023Tracked since
1,071Hours in CS2Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating16,430Purple band · top ~22.7% of ranked players (population est.)
CSDB Leaderboard#10615 of 17693 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGoogaboogaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,430 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning46
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY43507Last 10043%Win rateLLTLWWLWWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim4.2
Aggression3.2
Utility7.4
Positioning4.6
Opening Duels0.0
Clutch4.6

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 39% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 715ms 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

Aim4.2
Positioning4.6
Utility7.4
Mechanics4.6
Opening Duels1.1
Win Impact5.6

Composite 4.6/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time720ms+48ms
first ⅓ avg 672ms → last ⅓ avg 720ms
Headshot accuracy20.9%+2.0%
first ⅓ avg 18.8% → last ⅓ avg 20.9%

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

0.18Best rating — anubis 13–6
131Biggest win — nuke
4Longest win streak
L2Current streak
812In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 54% over 13ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC26111542%-0.01
dust2B22111150%-0.01
infernoB1910953%-0.02
nukeB137654%-0.02
anubisD82625%0.01
ancientD71614%-0.01
cache41325%0.01
overpass1010%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,958Lifetime kills
1.45K/D · Top 10% of tracked players
1,191Matches
44.8%Match win rate
70.3%Headshot % · Top 5% of tracked players
0.0%Shot accuracy
2,462MVPs
577Hours (in match)
1,494Bombs planted
315Bombs defused

Most-used weapons

Lifetime map wins

2,261dust2
1,825inferno
1,484vertigo
553nuke
71train
3office
2ar_baggage
1ar_shoots

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

Faceit stats

Combat

22Matches
45%Win rate
1.11Avg K/D
77.0ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
40%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%1.1312.9
Ancient540%1.0010.6
Inferno475%1.2620.5
Nuke20%0.8315.0
Train1100%1.8626.0
Dust21100%1.5722.0
Anubis10%1.0024.0
Vertigo10%0.365.0

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.

20.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.7%Spray accuracy
70.6%Counter-strafing
11.0°Preaim
715msReaction time
20.2%T opening success
38.7%CT opening success
0.69Enemies flashed / flash
10.5%Flash assists
8.97HE damage / grenade
19.76Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 715.0635ms — above the 700ms 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 20.1746% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0620%21 Aug
dust29–13-0.0510%21 Aug
ancient15–15-0.0215%21 Aug
inferno7–130.0624%31 Jul
cache13–70.0328%31 Jul
inferno13–30.0122%31 Jul
mirage11–130.0126%31 Jul
inferno13–11-0.0216%30 Jul
dust213–5-0.0228%30 Jul
mirage3–13-0.0528%30 Jul
mirage13–100.0225%27 Jul
nuke13–10-0.0528%21 Jul
inferno13–110.0230%21 Jul
anubis7–13-0.0413%21 Jul
nuke13–30.0725%21 Jul
cache9–130.0423%21 Jul
mirage13–20.0218%18 Jul
cache6–13-0.0415%18 Jul
ancient11–130.0217%12 Jul
nuke5–13-0.0222%12 Jul
inferno3–13-0.1119%12 Jul
ancient13–50.0013%12 Jul
ancient4–13-0.107%12 Jul
nuke15–15-0.0225%12 Jul
dust215–150.0019%11 Jul
dust213–7-0.0313%11 Jul
mirage13–80.0622%9 Jul
inferno13–8-0.0710%9 Jul
dust213–60.0241%9 Jul
dust27–130.0217%2 Jul
inferno9–13-0.0124%2 Jul
dust215–15-0.0223%30 Jun
dust213–80.0426%28 Jun
dust213–11-0.0013%28 Jun
nuke13–4-0.0610%27 Jun
mirage2–13-0.095%27 Jun
inferno6–13-0.0517%25 Jun
mirage13–9-0.0616%25 Jun
dust213–80.0524%25 Jun
inferno13–9-0.0212%24 Jun
inferno13–70.0219%24 Jun
dust211–13-0.0419%24 Jun
dust216–14-0.0629%23 Jun
anubis10–13-0.0432%23 Jun
anubis11–130.0027%22 Jun
dust210–130.0210%22 Jun
mirage16–13-0.0714%22 Jun
nuke8–13-0.0312%21 Jun
mirage7–13-0.0110%21 Jun
nuke3–13-0.0612%21 Jun
mirage13–110.0314%21 Jun
anubis13–5-0.0210%21 Jun
dust29–13-0.0420%20 Jun
nuke10–130.0317%19 Jun
inferno4–0-0.060%19 Jun
mirage11–13-0.1015%19 Jun
mirage13–80.0215%19 Jun
nuke10–13-0.0526%19 Jun
mirage5–130.019%19 Jun
mirage11–13-0.0314%17 Jun
dust213–6-0.0115%17 Jun
inferno10–13-0.0316%16 Jun
dust27–13-0.0119%16 Jun
dust213–90.0110%16 Jun
mirage2–13-0.0430%16 Jun
inferno5–13-0.0333%16 Jun
nuke13–8-0.0419%16 Jun
mirage13–11-0.0225%15 Jun
ancient15–150.0119%15 Jun
dust211–13-0.0021%15 Jun
mirage13–30.0113%15 Jun
dust213–50.0014%15 Jun
inferno13–2-0.0224%15 Jun
ancient11–13-0.0510%15 Jun
anubis7–130.0319%15 Jun
anubis15–15-0.0134%13 Jun
nuke13–6-0.0121%11 Jun
anubis13–60.1814%11 Jun
anubis10–13-0.0522%11 Jun
mirage4–13-0.0925%10 Jun
ancient9–130.0417%10 Jun
inferno16–12-0.0518%10 Jun
mirage9–13-0.0515%10 Jun
inferno13–70.0528%9 Jun
mirage9–13-0.0317%8 Jun
nuke13–10.0323%8 Jun
mirage13–110.0120%8 Jun
inferno9–13-0.0325%29 May
dust27–13-0.0217%29 May
mirage11–130.0112%29 May
nuke13–11-0.0220%29 May
mirage13–160.0221%28 May
mirage15–15-0.0113%28 May
mirage13–100.0419%24 May
mirage11–130.0413%24 May
dust29–13-0.0112%24 May
inferno14–16-0.0217%10 May
cache9–13-0.0020%10 May
dust213–10-0.0823%10 May
overpass8–13-0.0812%8 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →