GabbaGub

GabbaGub — CS2 Stats

76561197960701084[U:1:435356]Steam profile ↗✓ No bans

4,453Tracked matches66%Win rate2020Tracked since
4,818Hours in CS29Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating13,897Blue band · top ~34.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 15 days played since 23 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,897 +435 23 Aug21 Sept · 15 days played
10,30414,999peak 14,99923 Aug21 Sept
15,496Peak Premier in tracked matches
15Days played since 2026-08-23

Premier CS Rating

  • 1,102 below peak (14,999)
  • +435 over 30 days · improving
  • Next: Purple band at 15,000 1,103 to go
  • Reached: Blue band · Light Blue band

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=20,829), 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 rate39.5%41.9%44.3%4.8% short
Shot accuracy15.9%9.6%11.8%above
Kill/death ratio1.000.981.030.04 short
Match win rate43.0%43.8%45.2%2.2% short

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

Widest gap: Headshot rate. 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.GGGabbaGubPREMIER13,897 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning71
Utility45

0–100 skill scores via Leetify.

Recent form

HOT55423Last 10055%Win rateWWLLWWWWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.4pp headshot accuracy · −91ms 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 649ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 623ms

Last 20

  • 155 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 668ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim7.2
Utility4.5
Positioning7.1
Opening Duels5.3
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.

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 71% on T to 55% on CT — first contacts on the defending side are being lost.

Reaction time. 653ms 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

Aim7.2
Positioning7.1
Utility4.5
Mechanics6.1
Opening Duels8.2
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time642ms+7ms
first ⅓ avg 636ms → last ⅓ avg 642ms
Headshot accuracy20.8%+2.1%
first ⅓ avg 18.8% → last ⅓ avg 20.8%

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

0.10Best match rating · 13–8 · dust2, 4 Sept
36%Best headshot accuracy · 13–2 · dust2, 10 Sept
422msFastest reaction time · 13–0 · dust2, 10 Sept
13–0Biggest win · dust2, 10 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
116In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 75% over 16infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB21101148%0.01
mirageB1910953%0.00
ancientB168850%0.02
dust2S1612475%0.01
infernoC135838%-0.01
anubisS96367%0.00
cacheS64267%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,675Lifetime kills
1.00K/D · Top 50% of Blue band
6,530Matches
43.0%Match win rate
39.5%Headshot %
15.9%Shot accuracy · Top 25% of Blue band
11,613MVPs
2,738Hours (in match)
6,046Bombs planted
1,382Bombs defused

Most-used weapons

AK-4722,459
AWP14,794
SG 5536,244
MP74,857
MP94,510
MAC-104,182

Lifetime map wins

13,937inferno
13,885nuke
6,906vertigo
4,848dust2
2,046train
482lake
250ar_shoots
179safehouse

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

Faceit stats

Combat

1,993Matches
49%Win rate
0.90Avg K/D
66.7ADR
32%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno7342%0.8111.9
Nuke7061%0.8913.3
Ancient6141%0.8112.1
Vertigo6047%0.8513.6
Dust24349%0.7311.5
Anubis3241%0.6610.0
Overpass1540%0.6511.7
Mirage1233%0.6310.1

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.

20.2%Headshot accuracy
38.8%Accuracy (enemy spotted)
38.5%Spray accuracy
77.5%Counter-strafing
9.7°Preaim
653msReaction time
71.0%T opening success
55.4%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
7.24HE damage / grenade
6.05Flashes / 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 0.476 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0230%21 Sept
ancient13–70.0634%21 Sept
nuke2–13-0.0920%21 Sept
inferno10–13-0.0125%21 Sept
dust213–4-0.0112%21 Sept
anubis13–70.0214%21 Sept
inferno13–110.0613%21 Sept
mirage13–110.0114%21 Sept
nuke13–60.0625%17 Sept
cache13–6-0.0718%17 Sept
dust213–9-0.0421%17 Sept
mirage13–80.0326%17 Sept
mirage13–80.0331%17 Sept
nuke6–13-0.0013%17 Sept
dust213–6-0.0010%17 Sept
nuke13–50.0926%17 Sept
mirage12–160.0124%11 Sept
mirage6–130.0322%11 Sept
mirage13–80.0424%11 Sept
ancient13–70.0922%11 Sept
inferno13–20.0613%11 Sept
cache13–10-0.0125%11 Sept
inferno13–30.1032%11 Sept
nuke9–13-0.0216%11 Sept
nuke10–130.0518%11 Sept
mirage15–15-0.0616%10 Sept
mirage11–130.0216%10 Sept
ancient11–130.0510%10 Sept
mirage14–16-0.0216%10 Sept
nuke16–140.0422%10 Sept
dust213–20.0936%10 Sept
dust213–00.0220%10 Sept
anubis10–130.0323%9 Sept
anubis13–3-0.0127%9 Sept
mirage13–11-0.0612%9 Sept
cache13–10-0.0015%9 Sept
nuke13–40.0522%9 Sept
dust214–16-0.0432%6 Sept
nuke13–110.0218%6 Sept
inferno5–13-0.1118%6 Sept
nuke9–13-0.0619%6 Sept
nuke13–16-0.0420%6 Sept
nuke11–130.0026%6 Sept
anubis16–13-0.0325%6 Sept
dust26–13-0.0923%5 Sept
ancient13–6-0.0318%5 Sept
cache6–130.0021%5 Sept
nuke9–130.0525%5 Sept
mirage13–10.0329%5 Sept
mirage6–13-0.0512%5 Sept
nuke13–10-0.0820%4 Sept
inferno13–20.0214%4 Sept
ancient9–13-0.0125%4 Sept
nuke13–80.0324%4 Sept
dust213–80.1018%4 Sept
ancient13–160.0025%4 Sept
cache4–13-0.067%4 Sept
inferno9–13-0.0617%2 Sept
ancient13–40.0721%2 Sept
ancient10–13-0.0318%2 Sept
anubis10–130.0319%2 Sept
ancient6–130.0511%2 Sept
dust210–130.0224%2 Sept
anubis13–20.0418%2 Sept
ancient13–50.0218%2 Sept
inferno13–8-0.0216%2 Sept
ancient5–130.0425%2 Sept
dust216–140.0315%2 Sept
nuke6–130.0110%2 Sept
mirage13–110.0017%2 Sept
inferno15–150.0120%2 Sept
mirage13–11-0.0118%2 Sept
dust213–40.0117%1 Sept
inferno10–13-0.0424%1 Sept
dust213–60.0620%1 Sept
ancient10–13-0.0715%1 Sept
inferno9–13-0.0128%30 Aug
inferno7–13-0.0230%29 Aug
dust215–150.0019%29 Aug
mirage11–130.0123%29 Aug
nuke13–160.0125%29 Aug
ancient9–13-0.0511%29 Aug
mirage7–130.0226%29 Aug
inferno8–13-0.0421%29 Aug
cache13–90.0628%29 Aug
nuke13–100.0324%29 Aug
nuke13–60.0230%25 Aug
mirage13–110.0217%24 Aug
dust213–8-0.0422%24 Aug
nuke9–13-0.0219%24 Aug
mirage4–13-0.0414%24 Aug
dust213–10-0.057%24 Aug
anubis2–13-0.008%24 Aug
ancient13–30.0714%24 Aug
anubis13–11-0.0014%24 Aug
nuke8–20.0516%24 Aug
ancient13–80.0623%24 Aug
mirage13–70.0712%24 Aug
dust213–50.0325%23 Aug
ancient13–11-0.036%23 Aug

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 →