The Grabbadook

The Grabbadook — CS2 Stats

US76561199080657235[U:1:1120391507]Steam profile ↗✓ No bans

171Tracked matches50%Win rate2025Tracked since
147Hours in CS7Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim42
Positioning47
Utility14

0–100 skill scores via Leetify.

Recent form

COLD57367Last 10057%Win rateLLTLWLLLWL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim4.2
Aggression3.7
Utility1.4
Positioning4.7
Opening Duels0.5
Clutch2.6

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 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 627ms 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
Positioning4.7
Utility1.4
Mechanics4.8
Opening Duels0.5
Win Impact5.0

Composite 3.7/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time628ms−64ms
first ⅓ avg 692ms → last ⅓ avg 628ms
Headshot accuracy9.5%−3.4%
first ⅓ avg 12.9% → last ⅓ avg 9.5%

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

0.17Best rating — ancient 13–11
131Biggest win — dust2
8Longest win streak
L2Current streak
41In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 68% over 19cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA1911858%-0.02
dust2S1913668%-0.01
mirageB178947%-0.01
ancientB168850%-0.01
nukeA117464%-0.03
cacheC73443%-0.01
anubis43175%-0.02
overpass32167%-0.02
train32167%-0.04
vertigo1010%-0.05

Across the last 100 tracked matches.

Lifetime stats

4,275Lifetime kills
0.93K/D
264Matches
42.8%Match win rate
38.6%Headshot %
0.4%Shot accuracy
280MVPs
91Hours (in match)
256Bombs planted
31Bombs defused

Most-used weapons

Lifetime map wins

422inferno
356dust2
260nuke
62vertigo
43train
9office
4ar_shoots
4ar_baggage

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

Faceit stats

Combat

2Matches
0%Win rate
0.48Avg K/D
54.1ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.254.0
Cache10%0.7110.0

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.

9.5%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.8%Spray accuracy
71.6%Counter-strafing
11.3°Preaim
627msReaction time
30.1%T opening success
33.5%CT opening success
0.26Enemies flashed / flash
0.0%Flash assists
4.74HE damage / grenade
1.57Flashes / 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 9.4949% — below the 15% mark we flag

    Aim Training
  2. 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 0.26 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 30.1249% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0011%23 Aug
nuke10–13-0.065%22 Aug
inferno12–120.007%22 Aug
cache6–13-0.049%18 Aug
nuke13–10-0.0311%18 Aug
ancient8–13-0.018%15 Aug
inferno4–130.006%8 Aug
ancient3–13-0.0914%7 Aug
inferno13–6-0.016%3 Aug
mirage7–130.024%2 Aug
inferno13–3-0.043%2 Aug
dust22–13-0.0817%2 Aug
dust29–13-0.0615%29 Jul
anubis13–7-0.048%29 Jul
nuke13–50.039%26 Jul
dust213–9-0.0816%26 Jul
dust212–12-0.015%26 Jul
anubis2–13-0.0313%25 Jul
ancient12–12-0.0112%25 Jul
cache13–60.0214%25 Jul
cache8–130.046%18 Jul
mirage12–12-0.016%15 Jul
dust211–4-0.080%15 Jul
cache13–9-0.0113%12 Jul
inferno13–80.0213%12 Jul
nuke2–13-0.1310%6 Jul
mirage13–2-0.013%5 Jul
overpass13–6-0.009%5 Jul
cache4–13-0.0727%4 Jul
ancient13–10-0.056%4 Jul
inferno6–13-0.0318%28 Jun
dust213–40.003%28 Jun
mirage13–90.026%23 Jun
vertigo10–13-0.0512%1 Jun
ancient5–13-0.0412%1 Jun
overpass12–12-0.038%30 May
mirage13–60.0111%30 May
anubis13–30.025%30 May
nuke13–10-0.0312%20 May
ancient13–6-0.054%16 May
overpass13–9-0.0313%13 May
ancient13–3-0.058%5 May
cache13–70.000%5 May
inferno6–13-0.066%2 May
inferno13–10-0.057%1 May
cache7–13-0.0411%1 May
nuke13–10-0.0311%19 Apr
ancient8–13-0.0420%18 Apr
ancient13–40.049%12 Apr
dust211–130.0110%12 Apr
mirage7–13-0.0715%7 Apr
inferno13–11-0.0113%7 Apr
mirage13–20.0216%7 Apr
nuke5–13-0.083%1 Mar
ancient13–9-0.0219%2 Feb
dust213–80.0413%2 Feb
mirage13–8-0.0113%1 Jan
dust213–10-0.0217%4 Dec
ancient9–130.0118%3 Dec
nuke7–1-0.0312%3 Dec
nuke8–130.0912%30 Nov
ancient6–130.0118%30 Nov
mirage12–12-0.009%28 Nov
dust213–10.0218%28 Nov
dust213–50.0111%28 Nov
nuke13–7-0.0120%25 Nov
nuke13–8-0.038%25 Nov
inferno6–0-0.0217%25 Nov
ancient13–11-0.0211%23 Nov
mirage13–8-0.0714%16 Nov
inferno13–9-0.0211%16 Nov
mirage9–130.0018%15 Nov
inferno5–13-0.056%22 Oct
inferno10–13-0.0913%8 Oct
train13–6-0.0516%8 Oct
inferno13–7-0.0413%8 Oct
mirage13–50.0220%8 Oct
inferno13–110.0313%7 Oct
ancient13–8-0.0510%6 Oct
train9–0-0.0213%6 Oct
dust213–40.0220%6 Oct
mirage9–13-0.0210%6 Oct
ancient13–110.1716%5 Oct
dust213–40.0812%5 Oct
mirage5–13-0.036%17 Sept
inferno9–50.118%17 Sept
dust24–10.030%17 Sept
anubis13–8-0.0210%17 Sept
dust28–13-0.0610%11 Sept
dust27–13-0.029%7 Sept
train12–12-0.037%7 Sept
mirage8–13-0.0712%7 Sept
dust213–50.032%7 Sept
inferno9–13-0.058%6 Sept
dust213–8-0.0718%3 Sept
ancient10–13-0.0112%3 Sept
dust213–9-0.0118%1 Sept
mirage8–130.0317%1 Sept
mirage8–20.0544%1 Sept
inferno13–8-0.0612%1 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 →