Gloober

Gloober — CS2 Stats

VU76561199340639430[U:1:1380373702]Steam profile ↗✓ No bans

420Tracked matches38%Win rate2023Tracked since
267Hours in CS
CSDB Rating4.1 DevelopingClutch Specialist
Premier CS Rating13,718Blue band · top ~35.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 13,718 → 13,718
0Tracked matches · now 420
−3.4ppWin rate · 41.4% → 37.9%

Rating over time

Premier CS Rating: 13,718 +3,602 12 Jul – 19 Sept · 33 days played
10,11615,686peak 15,68612 Jul19 Sept
15,686Peak Premier in tracked matches
38Days played since 2026-07-12

Premier CS Rating

  • 1,968 below peak (15,686)
  • 0 over 30 days · steady
  • Next: Purple band at 15,000 — 1,282 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.8%42.0%44.4%above
Shot accuracy0.5%9.6%11.9%11.3% short
Kill/death ratio0.810.981.030.22 short
Match win rate38.5%43.8%45.2%6.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGlooberPREMIER13,718 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning44
Utility27

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateWLLWLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.5pp headshot accuracy · +6ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 647ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 607ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 604ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim6.0
Utility2.7
Positioning4.4
Opening Duels2.0
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.

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 592ms 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

Aim6.0
Positioning4.4
Utility2.7
Mechanics6.5
Opening Duels1.4
Win Impact1.0

Composite 4.1/10 (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 rating-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time596ms−33ms
first ⅓ avg 629ms → last ⅓ avg 596ms
Headshot accuracy16.1%−3.1%
first ⅓ avg 19.2% → last ⅓ avg 16.1%

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 · 13–6 · dust2, 12 Jul →
42%Best headshot accuracy · 3–13 · anubis, 20 Aug →
422msFastest reaction time · 15–15 · anubis, 15 Aug →
13–1Biggest win · mirage, 12 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
11–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 80% over 5anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%-0.01
cacheS2315–865%0.02
mirageB1910–953%-0.01
nukeB84–450%-0.02
anubisD82–625%-0.01
infernoB84–450%0.01
ancientS54–180%-0.02
train—20–20%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

12,304Lifetime kills
0.81K/D
729Matches
38.5%Match win rate
48.8%Headshot % · Top 25% of Blue band
0.5%Shot accuracy
1,321MVPs
267Hours (in match)
357Bombs planted
126Bombs defused

Most-used weapons

Lifetime map wins

1,720dust2
745inferno
565nuke
138train
83vertigo
8cbble
2office

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

Faceit stats

Combat

8Matches
25%Win rate
0.95Avg K/D
81.2ADR
48%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Cache30%0.9014.7
Mirage10%0.9416.0
Anubis10%0.5811.0
Inferno1100%1.4423.0
Nuke10%0.8320.0
Dust21100%1.1515.0

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.

16.0%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.5%Spray accuracy
79.1%Counter-strafing
11.6°Preaim
592msReaction time
26.2%T opening success
40.9%CT opening success
0.39Enemies flashed / flash
2.7%Flash assists
7.11HE damage / grenade
2.61Flashes / 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 0.3937 — 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 26.204% — 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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0331%11 Sept →
nuke4–13-0.078%9 Sept →
dust24–13-0.035%9 Sept →
mirage13–3-0.0418%2 Sept →
nuke14–16-0.0611%22 Aug →
cache8–130.0412%22 Aug →
cache13–60.1022%20 Aug →
anubis3–13-0.0742%20 Aug →
nuke11–13-0.0116%19 Aug →
cache1–130.036%18 Aug →
cache9–13-0.028%18 Aug →
cache13–8-0.0611%18 Aug →
cache13–5-0.0124%16 Aug →
nuke13–11-0.0710%15 Aug →
mirage13–16-0.0215%15 Aug →
cache3–13-0.0425%15 Aug →
cache5–130.0130%15 Aug →
dust23–13-0.0611%15 Aug →
cache13–80.0118%15 Aug →
cache13–20.0623%15 Aug →
anubis15–15-0.0310%15 Aug →
train3–13-0.095%13 Aug →
dust25–13-0.0613%11 Aug →
mirage8–13-0.0519%11 Aug →
dust210–13-0.0312%10 Aug →
dust213–20.048%9 Aug →
dust216–14-0.0610%9 Aug →
anubis11–130.1223%8 Aug →
inferno11–130.0919%8 Aug →
ancient13–10-0.0618%8 Aug →
dust213–11-0.0719%8 Aug →
dust210–13-0.0816%7 Aug →
mirage15–15-0.0414%6 Aug →
inferno7–13-0.0811%6 Aug →
mirage15–15-0.0214%6 Aug →
inferno5–30.0113%6 Aug →
dust29–13-0.017%5 Aug →
mirage13–110.006%3 Aug →
mirage2–13-0.0610%3 Aug →
mirage1–130.0019%2 Aug →
dust25–130.0119%2 Aug →
nuke1–7-0.080%2 Aug →
dust212–120.1117%2 Aug →
mirage13–70.1125%2 Aug →
dust213–30.1124%2 Aug →
mirage13–30.0215%1 Aug →
anubis4–130.0218%31 Jul →
dust213–7-0.0616%31 Jul →
mirage6–13-0.0825%30 Jul →
dust211–13-0.0517%30 Jul →
cache3–13-0.0129%30 Jul →
cache3–130.0827%29 Jul →
train1–13-0.056%29 Jul →
mirage11–13-0.0023%29 Jul →
nuke13–90.0221%28 Jul →
dust26–13-0.1017%27 Jul →
anubis7–13-0.0711%27 Jul →
dust211–130.0919%25 Jul →
dust213–11-0.0317%25 Jul →
inferno1–13-0.0224%25 Jul →
cache13–110.0520%25 Jul →
cache13–8-0.0117%24 Jul →
anubis13–2-0.0125%24 Jul →
cache13–9-0.0127%24 Jul →
cache13–70.0218%24 Jul →
nuke16–140.0829%24 Jul →
cache13–110.0524%24 Jul →
mirage13–11-0.0620%23 Jul →
inferno13–100.0420%23 Jul →
cache7–13-0.0526%23 Jul →
inferno12–4-0.0039%23 Jul →
dust24–13-0.0236%22 Jul →
anubis13–8-0.0215%20 Jul →
dust213–20.0122%20 Jul →
dust216–13-0.0319%19 Jul →
dust26–13-0.0630%19 Jul →
mirage13–60.0028%19 Jul →
dust27–13-0.0813%18 Jul →
ancient13–3-0.0417%18 Jul →
cache13–4-0.0123%18 Jul →
dust213–10-0.0316%18 Jul →
dust211–130.0817%18 Jul →
cache13–50.0723%18 Jul →
ancient9–13-0.0811%18 Jul →
anubis11–13-0.0312%18 Jul →
cache13–110.0115%17 Jul →
ancient16–120.0115%17 Jul →
mirage13–90.0415%16 Jul →
ancient13–70.0813%16 Jul →
dust20–3-0.000%16 Jul →
inferno10–130.0114%15 Jul →
cache13–80.0714%15 Jul →
inferno13–10-0.0018%14 Jul →
mirage13–10-0.0116%13 Jul →
nuke13–60.0211%13 Jul →
mirage9–13-0.0124%12 Jul →
mirage13–10.0531%12 Jul →
dust213–60.1319%12 Jul →
cache16–120.1020%12 Jul →
mirage13–8-0.0022%12 Jul →

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 →

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