glubbpa

glubbpa — CS2 Stats

LU76561198089304230[U:1:129038502]Steam profile ↗✓ No bans

974Tracked matches59%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating18,899Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,899 → 18,899
+1Tracked matches · now 974
0.0ppWin rate · 58.6% → 58.6%

Rating over time

Premier CS Rating: 18,899 -3,046 22 Apr – 10 Nov · 27 days played
17,11221,945peak 21,94522 Apr10 Nov
22,341Peak Premier in tracked matches
37Days played since 2026-04-22

Premier CS Rating

  • 3,046 below peak (21,945)
  • +337 over 30 days · steady
  • Next: Pink band at 20,000 — 1,101 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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

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CSDB.GGglubbpaPREMIER18,899 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLLLWWWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +4.7pp headshot accuracy · +1ms 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 527ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 526ms

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 (+1.3 against its own average).

Aim6.2
Utility5.5
Positioning6.1
Opening Duels3.9
Clutch3.6

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.

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim6.2
Positioning6.1
Utility5.5
Mechanics5.8
Opening Duels5.3
Win Impact7.9

Composite 6.1/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time548ms−16ms
first ⅓ avg 564ms → last ⅓ avg 548ms
Headshot accuracy16.3%−0.5%
first ⅓ avg 16.9% → last ⅓ avg 16.3%

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

0.14Best match rating · 13–3 · inferno, 3 Oct →
28%Best headshot accuracy · 12–12 · cache, 16 May →
391msFastest reaction time · 5–13 · inferno, 24 Oct →
13–0Biggest win · anubis, 5 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 71% over 17ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%0.00
mirageS1712–571%-0.01
cacheB147–750%0.01
dust2S128–467%0.01
ancientD113–827%-0.01
anubisC104–640%0.00
nukeC73–443%-0.01
vertigo—10–10%0.00
train—11–0100%-0.05
fachwerk—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

535Matches
53%Win rate
1.14Avg K/D
73.0ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
100%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2100%0.8611.5
Mirage250%0.7711.0
Inferno10%1.3527.0
Anubis1100%1.1919.0

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.

16.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
34.8%Spray accuracy
76.3%Counter-strafing
10.0°Preaim
535msReaction time
46.9%T opening success
55.5%CT opening success
0.51Enemies flashed / flash
7.1%Flash assists
12.46HE damage / grenade
6.82Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–110.0413%8 Nov →
nuke8–13-0.0224%1 Nov →
dust23–13-0.0322%1 Nov →
cache6–13-0.0612%31 Oct →
mirage13–40.0118%31 Oct →
mirage13–90.0426%31 Oct →
dust213–70.0524%31 Oct →
nuke13–20.0322%25 Oct →
mirage13–80.0317%25 Oct →
dust214–160.0020%25 Oct →
anubis12–160.0422%25 Oct →
inferno5–13-0.0514%24 Oct →
mirage16–120.0320%24 Oct →
dust213–100.0718%24 Oct →
ancient11–130.0010%24 Oct →
inferno15–150.069%24 Oct →
cache16–14-0.0216%23 Oct →
mirage13–3-0.0112%23 Oct →
inferno13–8-0.0021%18 Oct →
anubis10–13-0.0710%17 Oct →
ancient5–13-0.0328%17 Oct →
inferno14–16-0.0112%17 Oct →
inferno16–130.0217%17 Oct →
ancient13–50.0618%17 Oct →
mirage13–8-0.037%17 Oct →
inferno0–13-0.0815%17 Oct →
ancient13–6-0.039%11 Oct →
inferno13–50.0920%10 Oct →
inferno13–3-0.015%10 Oct →
anubis6–13-0.0510%10 Oct →
nuke13–8-0.058%10 Oct →
dust213–80.0323%10 Oct →
anubis2–13-0.0018%9 Oct →
ancient4–13-0.0220%9 Oct →
mirage13–100.0314%9 Oct →
inferno11–13-0.0415%4 Oct →
dust213–7-0.0125%3 Oct →
inferno13–30.1418%3 Oct →
dust28–13-0.0321%2 Oct →
inferno8–130.1123%2 Oct →
anubis10–130.0521%30 Sept →
dust26–13-0.0421%30 Sept →
nuke13–3-0.0110%27 Sept →
dust213–30.0416%27 Sept →
cache9–13-0.0116%27 Sept →
cache11–13-0.0321%26 Sept →
mirage13–5-0.0225%24 Sept →
mirage13–3-0.057%24 Sept →
anubis11–13-0.0218%24 Sept →
cache16–14-0.0119%20 Sept →
nuke9–13-0.0119%20 Sept →
mirage13–5-0.0213%20 Sept →
cache2–130.0524%20 Sept →
cache13–40.0422%20 Sept →
inferno13–9-0.0017%19 Sept →
mirage5–13-0.047%18 Sept →
ancient16–13-0.0114%13 Sept →
dust213–9-0.0316%13 Sept →
inferno13–100.0415%13 Sept →
mirage11–130.025%9 Sept →
mirage7–130.0020%9 Sept →
ancient2–13-0.0712%9 Sept →
ancient5–13-0.0623%6 Sept →
inferno7–13-0.0223%6 Sept →
cache13–30.1114%6 Sept →
inferno13–160.0110%6 Sept →
inferno13–110.0317%5 Sept →
ancient8–13-0.0017%5 Sept →
inferno13–4-0.0513%5 Sept →
anubis13–0-0.0223%5 Sept →
inferno13–10-0.038%4 Sept →
mirage16–13-0.0213%4 Sept →
inferno13–4-0.0222%4 Sept →
anubis13–40.0410%4 Sept →
mirage13–90.0117%4 Sept →
inferno13–10-0.0226%3 Sept →
ancient6–130.0514%3 Sept →
nuke10–13-0.0024%3 Sept →
nuke9–13-0.0427%2 Sept →
anubis13–4-0.0023%30 Aug →
cache6–13-0.0214%30 Aug →
cache9–130.0727%30 Aug →
dust213–60.0411%30 Aug →
inferno13–90.0314%23 Aug →
mirage12–12-0.0213%15 Aug →
mirage8–13-0.0510%15 Aug →
vertigo10–130.009%15 Aug →
ancient10–130.0414%15 Aug →
train8–8-0.0517%15 Aug →
dust213–40.0411%15 Aug →
inferno9–13-0.0311%13 Aug →
fachwerk0–70.0422%12 Jul →
cache13–10-0.0215%11 Jul →
cache13–110.0126%11 Jul →
cache12–120.0028%16 May →
inferno16–13-0.0226%16 May →
inferno6–13-0.0518%16 May →
cache13–80.0116%29 Apr →
inferno7–13-0.028%22 Apr →
inferno9–13-0.0810%22 Apr →

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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