󠁳⁧⁧binku

󠁳⁧⁧binku — CS2 Stats

FI76561198098086947[U:1:137821219]Steam profile ↗VAC banned

618Tracked matches54%Win rate2020Tracked since
2,016Hours in CS
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 618 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,223 -311 3 Dec – 19 Dec · 9 days played
23,05824,160peak 24,1603 Dec19 Dec
24,315Peak Premier in tracked matches
30Days played since 2025-12-03

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 Level 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate50.1%48.2%50.9%meets
Shot accuracy16.3%13.3%13.7%above
Kill/death ratio1.261.071.09above
Match win rate76.8%46.9%48.4%above

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GG󠁳⁧⁧binkuFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim69
Positioning48
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWTWLWWWLLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · +85ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 673ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 629ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 586ms

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 (+1.8 against its own average).

Aim6.9
Utility3.3
Positioning4.8
Opening Duels3.7
Clutch0.0

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

s1mple

Plays most like s1mple 97% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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. 602ms 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

Aim6.9
Positioning4.8
Utility3.3
Mechanics5.8
Opening Duels2.1
Win Impact6.2

Composite 5.2/10 (Developing), 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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time606ms+46ms
first ⅓ avg 561ms → last ⅓ avg 606ms
Headshot accuracy24.7%+3.7%
first ⅓ avg 21.0% → last ⅓ avg 24.7%

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 · 12–12 · nuke, 2 Jul →
57%Best headshot accuracy · 13–1 · boulder, 21 Jul →
406msFastest reaction time · 13–1 · dust2, 11 Dec →
13–1Biggest win · boulder, 21 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
cacheB2010–1050%-0.01
dust2B2010–1050%-0.01
nukeD175–1229%0.00
mirageD103–730%-0.04
overpassC73–443%-0.04
boulderS64–267%0.02
trainS54–180%-0.02
ancientS54–180%-0.00
inferno—41–325%-0.06
italy—22–0100%-0.02
alpine—22–0100%0.01
office—10–10%0.06
anubis—10–10%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,806Lifetime kills
1.26K/D · Top 25% of Level 9 players
10,352Matches
76.8%Match win rate · Top 1% of Level 9 players
50.1%Headshot % · Top 50% of Level 9 players
16.3%Shot accuracy · Top 25% of Level 9 players
13,095MVPs
2,016Hours (in match)
5,596Bombs planted
1,319Bombs defused

Most-used weapons

AK-4727,962
AWP6,151
P2504,013
P903,348
SSG 083,112
UMP-452,713

Lifetime map wins

10,112nuke
4,213dust2
4,026inferno
1,284train
1,196vertigo
829cbble
730office
312italy

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

Faceit stats

Combat

299Matches
55%Win rate
1.09Avg K/D
88.4ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%1.3024.0
Anubis1100%1.0016.0
Dust21100%0.9521.0
Mirage10%1.0018.0

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.

24.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
41.9%Spray accuracy
76.1%Counter-strafing
11.6°Preaim
602msReaction time
33.1%T opening success
43.6%CT opening success
0.38Enemies flashed / flash
1.5%Flash assists
6.21HE damage / grenade
5.69Flashes / 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 0.3796 — 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 33.0982% — below the 40% mark we flag

Spend your practice time on Nuke

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 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–9-0.0515%27 Jul →
train12–12-0.0324%27 Jul →
cache13–110.0140%27 Jul →
cache9–130.0232%24 Jul →
boulder13–90.0924%24 Jul →
boulder13–10.0157%21 Jul →
boulder13–50.0428%21 Jul →
cache4–130.0126%21 Jul →
office5–130.0610%19 Jul →
ancient13–10-0.0227%19 Jul →
cache13–8-0.0120%19 Jul →
boulder5–13-0.0132%19 Jul →
boulder13–110.0323%18 Jul →
cache3–13-0.0729%18 Jul →
cache8–130.0320%17 Jul →
italy13–11-0.0320%17 Jul →
boulder1–13-0.0730%17 Jul →
inferno4–13-0.1122%6 Jul →
nuke10–13-0.0123%5 Jul →
dust213–60.0529%5 Jul →
italy13–5-0.0017%5 Jul →
dust213–8-0.0533%2 Jul →
nuke12–120.1021%2 Jul →
alpine13–30.0329%2 Jul →
cache13–4-0.0211%2 Jul →
inferno8–13-0.0116%30 Jun →
anubis10–130.0316%30 Jun →
dust210–13-0.0518%29 Jun →
nuke7–130.0823%27 Jun →
mirage13–10.0333%27 Jun →
dust213–4-0.1033%27 Jun →
nuke13–80.0214%6 Jun →
dust213–5-0.0818%5 Jun →
cache10–13-0.0624%5 May →
cache13–50.0218%5 May →
nuke2–13-0.059%5 May →
cache13–4-0.0326%5 May →
cache13–30.0044%5 May →
nuke3–13-0.0618%3 May →
cache10–13-0.0524%3 May →
dust28–130.0732%1 May →
nuke11–13-0.0125%1 May →
dust213–9-0.0322%1 May →
cache1–13-0.0830%1 May →
alpine13–11-0.0117%1 May →
cache8–13-0.0117%1 May →
cache9–130.0421%1 May →
cache13–20.0734%1 May →
cache13–70.0331%1 May →
nuke6–11-0.0016%30 Apr →
dust28–30.0222%30 Apr →
cache13–10-0.0220%30 Apr →
cache13–100.0322%30 Apr →
cache10–13-0.0119%30 Apr →
mirage5–13-0.0638%19 Dec →
nuke8–130.0528%19 Dec →
nuke9–13-0.055%19 Dec →
dust213–70.0223%19 Dec →
dust213–50.0831%17 Dec →
dust22–13-0.0826%17 Dec →
dust213–50.0532%16 Dec →
mirage2–13-0.1025%14 Dec →
nuke15–15-0.0632%14 Dec →
overpass5–13-0.1125%14 Dec →
mirage3–13-0.0913%13 Dec →
dust211–13-0.0120%13 Dec →
overpass10–13-0.0216%13 Dec →
inferno13–9-0.0719%13 Dec →
ancient13–70.0523%13 Dec →
dust215–15-0.0117%13 Dec →
mirage13–70.0521%13 Dec →
dust29–13-0.0431%13 Dec →
nuke11–13-0.0020%13 Dec →
mirage11–13-0.0112%12 Dec →
dust26–130.0133%12 Dec →
train13–8-0.0216%12 Dec →
dust213–1-0.0026%11 Dec →
train16–13-0.0317%7 Dec →
mirage6–13-0.0310%7 Dec →
nuke13–30.0313%7 Dec →
train13–70.0021%6 Dec →
nuke13–4-0.0029%6 Dec →
overpass9–13-0.0721%6 Dec →
ancient13–16-0.0227%6 Dec →
train16–14-0.0121%6 Dec →
dust211–13-0.0523%6 Dec →
overpass13–60.0125%5 Dec →
nuke13–50.0719%5 Dec →
mirage16–13-0.0711%5 Dec →
ancient13–9-0.0418%5 Dec →
nuke6–130.0013%5 Dec →
ancient16–130.0327%4 Dec →
dust212–16-0.0030%4 Dec →
dust23–13-0.0917%4 Dec →
inferno6–13-0.0427%4 Dec →
overpass13–9-0.0324%4 Dec →
mirage1–13-0.1025%4 Dec →
overpass2–5-0.0115%3 Dec →
mirage5–13-0.0711%3 Dec →
nuke13–11-0.0431%3 Dec →

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.