gbink

gbink — CS2 Stats

DE76561197981595387[U:1:21329659]Steam profile ↗✓ No bans

2,953Tracked matches68%Win rate2020Tracked since
9,871Hours in CS32Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating18,565Purple band · top ~14.2% of ranked players (population est.)
CSDB Leaderboard#99865 of 247969 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 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.

Rating over time

Premier CS Rating: 18,565 -3,027 25 Aug – 2 Oct · 31 days played
14,37421,592peak 21,59225 Aug2 Oct
21,649Peak Premier in tracked matches
31Days played since 2026-08-25

Premier CS Rating

  • 3,027 below peak (21,592)
  • +975 over 30 days · improving
  • Next: Pink band at 20,000 — 1,435 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches28——
Win rate61%——
K/D0.94——
Headshot %42%——

Measured 26 Sep 2026 → 3 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches87——
Win rate48%——
K/D0.87——
Headshot %43%——

Measured 31 Aug 2026 → 3 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.0%44.3%46.9%2.9% short
Shot accuracy14.2%11.9%13.0%above
Kill/death ratio0.991.031.080.09 short
Match win rate44.4%45.2%46.7%2.2% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgbinkPREMIER18,565 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning61
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWWLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.0pp headshot accuracy · −34ms 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 12%
  • Avg reaction 585ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • 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 (+2.3 against its own average).

Aim7.5
Utility5.0
Positioning6.1
Opening Duels3.8
Clutch0.2

Excellent counter-strafingLimited 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

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms 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

Aim7.5
Positioning6.1
Utility5.0
Mechanics8.8
Opening Duels4.2
Win Impact10.0

Composite 7.0/10 (Strong), 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+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time601ms−4ms
first ⅓ avg 605ms → last ⅓ avg 601ms
Headshot accuracy14.0%−1.7%
first ⅓ avg 15.7% → last ⅓ avg 14.0%

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

0.12Best match rating · 13–2 · ancient, 11 Sept →
36%Best headshot accuracy · 11–13 · dust2, 14 Sept →
422msFastest reaction time · 11–13 · ancient, 29 Aug →
13–0Biggest win · nuke, 15 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
17Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B3416–1847%0.00
nukeC177–1041%0.00
ancientD144–1029%-0.02
infernoA138–562%-0.00
mirageS96–367%-0.02
anubisB84–450%0.00
cacheA53–260%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

228,914Lifetime kills
0.99K/D
11,087Matches
44.4%Match win rate
44.0%Headshot %
14.2%Shot accuracy · Top 50% of Purple band
23,315MVPs
5,321Hours (in match)
13,753Bombs planted
2,973Bombs defused

Most-used weapons

AK-4765,842
AWP29,177
Glock-1810,992
FAMAS7,684
P2505,478
MP75,341
P905,329

Lifetime map wins

71,901dust2
20,847inferno
7,962nuke
1,654train
1,015vertigo
652cbble
331italy
265aztec

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

Faceit stats

Combat

136Matches
54%Win rate
1.05Avg K/D
73.5ADR
41%Headshot %

Clutches & streaks

21%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2361%1.1415.8
Inferno2383%1.3214.7
Ancient1644%0.9314.4
Dust21547%0.9513.7
Nuke540%0.9313.4
Cache250%0.699.0
Vertigo250%0.6211.0
Train10%0.8315.0

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.

14.0%Headshot accuracy
37.3%Accuracy (enemy spotted)
37.4%Spray accuracy
89.5%Counter-strafing
9.6°Preaim
600msReaction time
54.8%T opening success
39.1%CT opening success
0.46Enemies flashed / flash
6.0%Flash assists
10.98HE damage / grenade
4.12Flashes / 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 14.0189% — below the 15% mark we flag

    Aim Training →
  2. 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 0.462 — below the 0.5 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 39.1179% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–13-0.0115%2 Oct →
ancient13–10-0.044%2 Oct →
dust210–130.0815%2 Oct →
nuke9–130.1019%2 Oct →
nuke14–16-0.016%1 Oct →
mirage9–13-0.0323%1 Oct →
mirage13–50.0121%30 Sept →
dust213–60.0111%30 Sept →
anubis16–120.0213%29 Sept →
mirage13–5-0.1013%29 Sept →
dust25–13-0.093%29 Sept →
dust24–13-0.0315%29 Sept →
anubis13–50.066%28 Sept →
dust23–130.0120%28 Sept →
inferno15–150.0112%27 Sept →
anubis15–15-0.0117%27 Sept →
cache13–60.0616%27 Sept →
cache13–7-0.0417%27 Sept →
anubis13–80.0515%27 Sept →
dust213–80.0718%27 Sept →
dust213–30.0825%27 Sept →
cache13–80.0016%27 Sept →
dust213–40.0610%27 Sept →
mirage13–10-0.0413%27 Sept →
mirage13–9-0.0217%27 Sept →
nuke16–14-0.0015%25 Sept →
ancient10–13-0.0412%25 Sept →
ancient6–13-0.0612%25 Sept →
dust213–10.1012%21 Sept →
inferno13–4-0.0311%21 Sept →
dust213–6-0.0211%21 Sept →
ancient7–13-0.0312%21 Sept →
dust210–13-0.0417%20 Sept →
nuke13–110.0121%20 Sept →
anubis12–160.0113%20 Sept →
dust216–140.0016%19 Sept →
ancient13–6-0.079%19 Sept →
nuke10–13-0.0415%19 Sept →
inferno13–9-0.0214%19 Sept →
dust213–90.0125%19 Sept →
nuke9–13-0.0317%19 Sept →
inferno8–13-0.0314%18 Sept →
mirage13–6-0.029%17 Sept →
cache10–13-0.069%17 Sept →
dust213–80.0017%16 Sept →
inferno13–70.0714%16 Sept →
nuke13–10-0.0126%15 Sept →
nuke13–00.0815%15 Sept →
dust213–110.0811%15 Sept →
inferno9–130.0122%14 Sept →
dust211–13-0.0436%14 Sept →
nuke13–20.1023%14 Sept →
dust29–13-0.0716%12 Sept →
ancient6–130.0221%12 Sept →
dust216–140.0215%12 Sept →
dust213–10.1117%11 Sept →
dust213–30.1021%11 Sept →
ancient13–20.1215%11 Sept →
mirage16–120.0415%11 Sept →
inferno13–11-0.0110%11 Sept →
nuke1–13-0.026%11 Sept →
inferno5–13-0.0930%11 Sept →
dust211–13-0.0523%11 Sept →
dust27–13-0.0417%10 Sept →
ancient7–13-0.0215%10 Sept →
nuke10–13-0.0511%10 Sept →
nuke9–13-0.0119%6 Sept →
mirage8–13-0.0020%6 Sept →
nuke9–13-0.086%6 Sept →
mirage7–13-0.0115%5 Sept →
dust215–15-0.0316%4 Sept →
ancient10–13-0.0310%3 Sept →
nuke13–20.0314%3 Sept →
ancient6–13-0.0121%3 Sept →
dust210–130.0314%2 Sept →
dust213–110.1014%2 Sept →
dust213–10-0.0611%2 Sept →
dust214–16-0.0118%1 Sept →
anubis11–13-0.0327%1 Sept →
inferno10–13-0.0424%31 Aug →
dust210–13-0.0126%31 Aug →
inferno16–130.0424%30 Aug →
anubis13–4-0.0314%30 Aug →
cache9–13-0.0411%30 Aug →
ancient11–13-0.029%29 Aug →
dust213–10-0.0311%29 Aug →
dust215–150.0120%29 Aug →
ancient12–16-0.068%28 Aug →
anubis11–13-0.0512%28 Aug →
nuke2–13-0.0615%28 Aug →
inferno13–70.0116%28 Aug →
dust21–13-0.114%27 Aug →
inferno13–70.0111%27 Aug →
dust28–13-0.0314%27 Aug →
nuke13–110.0415%27 Aug →
ancient14–16-0.0110%26 Aug →
dust25–13-0.0431%26 Aug →
dust211–13-0.0321%26 Aug →
nuke15–150.0014%25 Aug →
ancient13–10-0.0022%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.