The Great Googly Moogly

The Great Googly Moogly — CS2 Stats

76561198967217643[U:1:1006951915]Steam profile ↗✓ No bans

925Tracked matches43%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 925
−8.4ppWin rate · 51.7% → 43.3%

Rating over time

Premier CS Rating: 9,002 +562 7 Jun – 6 Jul · 13 days played
8,08710,253peak 10,2537 Jun6 Jul
10,724Peak Premier in tracked matches
30Days played since 2026-06-07

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

Share this profile

CSDB.GGThe Great Googly MooglyFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning51
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLLLWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · −27ms 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 13%
  • Avg reaction 639ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 618ms

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 (+2.1 against its own average).

Aim6.9
Utility4.0
Positioning5.1
Opening Duels2.7
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

iM

Plays most like iM 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 611ms 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
Positioning5.1
Utility4.0
Mechanics6.8
Opening Duels3.1
Win Impact2.8

Composite 5.3/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time618ms+10ms
first ⅓ avg 608ms → last ⅓ avg 618ms
Headshot accuracy12.4%−1.0%
first ⅓ avg 13.5% → last ⅓ avg 12.4%

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

0.13Best match rating · 13–7 · dust2, 21 Jun →
36%Best headshot accuracy · 13–6 · cache, 11 Jun →
328msFastest reaction time · 13–2 · nuke, 15 Jun →
13–1Biggest win · mirage, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%0.01
nukeS2013–765%0.00
dust2C166–1038%-0.01
infernoC135–838%-0.01
cacheS96–367%-0.03
ancientD82–625%-0.01
overpassS64–267%-0.02
anubis—41–325%-0.00
vertigo—31–233%-0.01
shelter—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
60%Win rate
0.87Avg K/D
76.2ADR
36%Headshot %

Clutches & streaks

14%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.7616.5
Mirage250%1.1216.0
Anubis1100%0.5512.0

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.

13.0%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.5%Spray accuracy
80.7%Counter-strafing
10.2°Preaim
611msReaction time
45.0%T opening success
39.4%CT opening success
0.63Enemies flashed / flash
4.2%Flash assists
8.56HE damage / grenade
2.77Flashes / 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 13.0367% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7687 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.4487% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.1110%8 Oct →
anubis9–130.0222%8 Oct →
dust23–13-0.026%8 Oct →
nuke4–130.0216%24 Sept →
dust213–7-0.0211%4 Sept →
inferno8–13-0.0013%4 Sept →
cache13–10-0.0011%4 Sept →
inferno8–13-0.0524%4 Sept →
ancient9–13-0.0912%4 Sept →
dust213–8-0.0415%4 Sept →
mirage10–13-0.0013%3 Sept →
dust23–13-0.0428%2 Sept →
mirage5–130.0317%2 Sept →
inferno11–130.0218%30 Aug →
mirage10–130.0115%25 Aug →
overpass13–4-0.080%25 Aug →
ancient4–13-0.064%25 Aug →
vertigo11–13-0.0313%25 Aug →
nuke13–3-0.0111%25 Aug →
mirage13–20.030%25 Aug →
dust213–50.018%25 Aug →
inferno8–130.0616%22 Aug →
ancient2–13-0.079%22 Aug →
dust27–130.0117%21 Aug →
mirage13–40.0211%21 Aug →
inferno4–9-0.1613%15 Aug →
nuke11–13-0.0512%15 Aug →
ancient13–100.0011%15 Aug →
cache13–11-0.028%13 Aug →
mirage13–6-0.0225%13 Aug →
inferno13–7-0.059%13 Aug →
vertigo8–130.0410%13 Aug →
nuke13–20.052%13 Aug →
cache2–130.0228%13 Aug →
dust213–90.018%8 Aug →
nuke13–11-0.0116%8 Aug →
inferno9–60.1127%30 Jul →
inferno5–90.0129%30 Jul →
cache13–100.0113%21 Jul →
nuke7–13-0.0412%21 Jul →
mirage13–90.1010%21 Jul →
dust210–130.0114%21 Jul →
shelter12–120.0418%9 Jul →
cache9–13-0.078%9 Jul →
nuke6–13-0.1028%9 Jul →
mirage13–7-0.027%6 Jul →
ancient15–15-0.029%5 Jul →
nuke13–40.0724%5 Jul →
nuke2–13-0.0817%5 Jul →
dust211–13-0.048%5 Jul →
ancient10–130.0315%5 Jul →
mirage8–130.019%5 Jul →
mirage13–110.0711%5 Jul →
inferno10–130.0317%5 Jul →
dust25–13-0.008%5 Jul →
overpass13–90.0418%5 Jul →
nuke13–3-0.0216%5 Jul →
cache13–6-0.0221%5 Jul →
dust28–13-0.060%3 Jul →
nuke11–13-0.076%3 Jul →
anubis8–13-0.0016%3 Jul →
mirage12–12-0.0715%3 Jul →
mirage11–13-0.0419%1 Jul →
anubis13–10-0.048%1 Jul →
nuke13–160.048%27 Jun →
mirage13–7-0.0017%27 Jun →
inferno13–20.0015%27 Jun →
overpass9–13-0.0516%25 Jun →
nuke13–100.0213%25 Jun →
inferno10–13-0.049%23 Jun →
inferno13–9-0.0313%23 Jun →
mirage11–130.0212%23 Jun →
vertigo13–10-0.0416%22 Jun →
cache13–9-0.076%22 Jun →
dust213–70.1319%21 Jun →
mirage13–11-0.0818%21 Jun →
dust29–13-0.079%20 Jun →
nuke13–60.0712%20 Jun →
nuke13–90.015%20 Jun →
nuke13–30.0619%16 Jun →
cache9–13-0.076%16 Jun →
dust28–13-0.036%16 Jun →
nuke13–90.1113%16 Jun →
dust27–13-0.0214%16 Jun →
overpass13–7-0.0215%16 Jun →
inferno13–5-0.0419%15 Jun →
nuke13–100.017%15 Jun →
nuke13–20.0914%15 Jun →
anubis7–130.0016%15 Jun →
overpass9–13-0.0316%15 Jun →
ancient10–130.0416%15 Jun →
overpass13–60.0112%13 Jun →
dust213–10-0.0020%13 Jun →
mirage13–40.0117%13 Jun →
nuke13–11-0.075%11 Jun →
mirage11–13-0.0612%11 Jun →
cache13–6-0.0536%11 Jun →
mirage6–13-0.023%11 Jun →
mirage13–110.0318%7 Jun →
ancient13–110.1014%7 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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