Jabe - GubbAim

Jabe - GubbAim — CS2 Stats

SE76561198214929061[U:1:254663333]Steam profile ↗✓ No bans

566Tracked matches47%Win rate2020Tracked since
3,685Hours in CS33Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating4,889Grey band · top ~79.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 4,889 +1,233 3 Aug – 7 Oct · 23 days played
3,3654,999peak 4,9993 Aug7 Oct
4,999Peak Premier in tracked matches
43Days played since 2026-08-03

Premier CS Rating

  • 110 below peak (4,999)
  • +122 over 30 days · steady
  • Next: Light Blue band at 5,000 — 111 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches100——
Win rate41%——
K/D0.74——
Headshot %49%——

Measured 14 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate54.6%42.7%43.7%above
Shot accuracy8.4%11.3%12.0%3.6% short
Kill/death ratio0.790.991.020.22 short
Match win rate38.3%43.9%44.7%6.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJabe - GubbAimFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,889 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim32
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLWLLLWWWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.6pp headshot accuracy · −22ms 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

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 (+1.1 against its own average).

Aim3.2
Utility3.9
Positioning4.8
Opening Duels1.8
Clutch4.4

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 68% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 53% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2
Positioning4.8
Utility3.9
Mechanics3.6
Opening Duels3.4
Win Impact3.9

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time620ms−69ms
first ⅓ avg 689ms → last ⅓ avg 620ms
Headshot accuracy14.5%−3.6%
first ⅓ avg 18.1% → last ⅓ avg 14.5%

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.

Personal bests

0.13Best match rating · 13–5 · dust2, 18 Aug →
36%Best headshot accuracy · 13–5 · inferno, 20 Sept →
406msFastest reaction time · 13–5 · inferno, 20 Sept →
13–2Biggest win · ancient, 17 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 71% over 7infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
ancientC218–1338%-0.03
infernoD217–1433%-0.04
nukeC208–1240%-0.06
anubisB189–950%-0.01
dust2S75–271%-0.02
cacheD62–433%-0.05
mirageC52–340%-0.04
vertigo—11–0100%0.01
overpass—11–0100%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,831Lifetime kills
0.79K/D
1,751Matches
38.3%Match win rate
54.6%Headshot % · Top 10% of Level 4 players
8.4%Shot accuracy
3,447MVPs
722Hours (in match)
1,920Bombs planted
348Bombs defused

Most-used weapons

Lifetime map wins

2,800inferno
2,371dust2
2,073nuke
1,030train
858cbble
67vertigo
65lake
27office

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

Faceit stats

Combat

170Matches
52%Win rate
0.80Avg K/D
73.4ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis3238%0.8613.8
Ancient2540%0.8313.9
Nuke2458%0.7912.5
Inferno2171%0.8712.9
Dust22157%0.7312.1
Cache771%0.8011.1
Mirage743%0.9114.4
Vertigo250%1.0115.0

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.

15.3%Headshot accuracy
27.1%Accuracy (enemy spotted)
28.0%Spray accuracy
66.1%Counter-strafing
10.5°Preaim
617msReaction time
53.4%T opening success
34.1%CT opening success
0.44Enemies flashed / flash
8.5%Flash assists
9.56HE damage / grenade
3.03Flashes / 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 0.4421 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 34.0646% — below the 40% mark we flag

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.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0917%13 Oct →
ancient8–13-0.0221%12 Oct →
nuke16–14-0.0323%12 Oct →
ancient8–13-0.026%12 Oct →
ancient11–13-0.097%11 Oct →
dust23–13-0.0713%11 Oct →
nuke13–10-0.0411%11 Oct →
nuke13–60.0316%10 Oct →
anubis13–40.0311%7 Oct →
inferno10–13-0.038%7 Oct →
cache10–13-0.029%7 Oct →
mirage13–60.0011%7 Oct →
dust213–90.0015%5 Oct →
mirage8–13-0.0617%5 Oct →
inferno2–13-0.065%5 Oct →
anubis13–110.017%1 Oct →
cache13–9-0.0519%1 Oct →
ancient13–11-0.0213%1 Oct →
anubis8–13-0.0520%27 Sept →
anubis13–9-0.0725%26 Sept →
nuke2–130.0220%26 Sept →
inferno7–9-0.0811%24 Sept →
nuke1–130.0415%24 Sept →
nuke1–9-0.210%22 Sept →
inferno8–13-0.096%21 Sept →
anubis10–13-0.0427%21 Sept →
anubis11–13-0.0314%20 Sept →
inferno13–5-0.0336%20 Sept →
inferno6–13-0.039%20 Sept →
inferno13–8-0.0122%18 Sept →
vertigo13–80.0118%18 Sept →
ancient13–5-0.0421%18 Sept →
dust213–10-0.0310%17 Sept →
ancient8–13-0.0111%17 Sept →
nuke5–13-0.0713%17 Sept →
inferno2–9-0.1633%16 Sept →
anubis4–130.1115%15 Sept →
anubis13–110.049%14 Sept →
nuke3–9-0.220%14 Sept →
cache13–3-0.0417%10 Sept →
anubis13–110.0318%10 Sept →
ancient5–13-0.0836%8 Sept →
anubis2–13-0.1011%8 Sept →
nuke7–13-0.0616%3 Sept →
anubis6–13-0.129%2 Sept →
anubis9–13-0.0626%2 Sept →
anubis13–90.1222%1 Sept →
inferno11–13-0.0317%28 Aug →
nuke9–4-0.1226%28 Aug →
nuke5–9-0.0729%28 Aug →
ancient13–10-0.098%27 Aug →
ancient13–7-0.0125%27 Aug →
ancient4–13-0.0611%27 Aug →
dust213–5-0.0817%26 Aug →
anubis16–140.0126%26 Aug →
inferno15–15-0.0617%25 Aug →
overpass9–4-0.0422%25 Aug →
nuke7–130.0215%25 Aug →
mirage11–13-0.0018%24 Aug →
anubis6–13-0.034%24 Aug →
inferno11–130.0121%22 Aug →
cache4–13-0.0413%22 Aug →
ancient13–10-0.0323%19 Aug →
dust213–50.1318%18 Aug →
inferno13–6-0.0213%18 Aug →
cache7–13-0.0723%18 Aug →
nuke5–9-0.0519%18 Aug →
ancient1–13-0.016%17 Aug →
ancient13–2-0.119%17 Aug →
inferno7–13-0.0525%16 Aug →
inferno15–15-0.0519%14 Aug →
inferno3–13-0.0510%13 Aug →
nuke8–13-0.0612%12 Aug →
ancient6–130.0417%11 Aug →
ancient6–13-0.0226%11 Aug →
anubis13–40.0515%11 Aug →
ancient13–80.0115%11 Aug →
dust216–13-0.0412%11 Aug →
inferno13–5-0.0417%10 Aug →
nuke5–13-0.0417%10 Aug →
anubis13–110.0225%10 Aug →
dust28–13-0.0436%10 Aug →
nuke13–8-0.0313%10 Aug →
nuke13–11-0.0415%9 Aug →
ancient10–13-0.0710%9 Aug →
inferno13–6-0.0122%6 Aug →
ancient16–13-0.0724%6 Aug →
ancient9–13-0.0015%6 Aug →
nuke13–6-0.0618%6 Aug →
nuke13–5-0.0229%5 Aug →
inferno13–7-0.0419%5 Aug →
inferno13–3-0.0220%5 Aug →
ancient10–13-0.0222%4 Aug →
mirage9–13-0.0518%4 Aug →
nuke4–13-0.108%4 Aug →
inferno7–130.0128%4 Aug →
mirage13–10-0.0617%4 Aug →
cache7–13-0.0516%4 Aug →
ancient8–130.0022%3 Aug →
inferno15–150.0724%3 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.