Bintang ☆

Bintang ☆ — CS2 Stats

ID76561199134045190[U:1:1173779462]Steam profile ↗✓ No bans

1,370Tracked matches61%Win rate2021Tracked since
827Hours in CS
CSDB Rating6.1 SolidPositional Player
Premier CS Rating24,535Pink band · top ~3.5% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGBintang ☆FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER24,535 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning53
Utility35

0–100 skill scores via Leetify.

Recent form

HOT66–28–6Last 10066%Win rateLWWWWLLWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +4.9pp headshot accuracy · +48ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.14
  • Avg headshot accuracy 27%
  • Avg reaction 523ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 532ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 508ms

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).

Aim7.7
Utility3.5
Positioning5.3
Opening Duels3.7
Clutch4.2

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 97% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.7
Positioning5.3
Utility3.5
Mechanics5.9
Opening Duels3.6
Win Impact8.6

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.06
first ⅓ avg 0.08 → last ⅓ avg 0.02
Reaction time517ms+46ms
first ⅓ avg 470ms → last ⅓ avg 517ms
Headshot accuracy20.3%+1.9%
first ⅓ avg 18.4% → last ⅓ avg 20.3%

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

0.35Best match rating · 9–0 · inferno, 23 Oct →
38%Best headshot accuracy · 9–6 · inferno, 30 Oct →
305msFastest reaction time · 9–4 · inferno, 31 Oct →
13–2Biggest win · ancient, 15 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 83% over 6anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS5939–2066%0.06
mirageS97–278%0.03
anubisD82–625%0.00
ancientS75–271%0.04
dust2S65–183%0.01
cache—43–175%0.00
nuke—43–175%0.02
train—11–0100%0.23
overpass—11–0100%0.15
office—10–10%0.27

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,548Lifetime kills
2.40K/D
1,994Matches
49.4%Match win rate
26.1%Headshot %
14.2%Shot accuracy
5,647MVPs
827Hours (in match)
2,950Bombs planted
621Bombs defused

Most-used weapons

AWP17,998
AK-4715,724
P9010,881
Knife6,405

Lifetime map wins

5,410dust2
5,323inferno
664vertigo
574nuke
173train
165office
100italy
100aztec

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

Faceit stats

Combat

189Matches
49%Win rate
1.32Avg K/D
96.0ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25946%1.3721.0
Mirage4445%1.3920.0
Ancient3256%1.2416.6
Inferno2861%1.3521.8
Anubis1354%1.3221.4
Cache540%1.1818.2
Nuke520%0.9315.8
Vertigo20%0.8413.5

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.

21.4%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.4%Spray accuracy
76.3%Counter-strafing
9.9°Preaim
526msReaction time
46.5%T opening success
42.3%CT opening success
0.28Enemies flashed / flash
2.9%Flash assists
12.68HE damage / grenade
2.31Flashes / 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 0.2775 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0829%15 Nov →
train13–80.2322%15 Nov →
ancient13–20.2234%15 Nov →
dust213–60.0625%15 Nov →
inferno13–70.1025%15 Nov →
anubis2–13-0.0328%14 Nov →
cache0–13-0.067%13 Nov →
inferno13–7-0.0122%13 Nov →
inferno13–8-0.0332%13 Nov →
inferno13–6-0.0317%13 Nov →
mirage4–13-0.089%13 Nov →
inferno13–90.0925%13 Nov →
inferno6–130.0017%13 Nov →
inferno7–130.1018%13 Nov →
inferno8–8-0.1212%12 Nov →
anubis3–13-0.0119%12 Nov →
ancient13–16-0.0224%12 Nov →
inferno8–80.0410%9 Nov →
anubis7–13-0.0224%8 Nov →
inferno13–40.1133%8 Nov →
nuke11–130.0434%8 Nov →
ancient10–5-0.0310%8 Nov →
cache13–70.0515%8 Nov →
dust213–3-0.0219%8 Nov →
inferno13–50.0316%8 Nov →
inferno5–9-0.0316%8 Nov →
anubis15–150.0320%8 Nov →
inferno15–150.0222%8 Nov →
nuke13–60.0315%8 Nov →
nuke13–11-0.0420%8 Nov →
mirage13–50.0725%8 Nov →
inferno13–20.0212%6 Nov →
anubis11–13-0.0315%6 Nov →
dust213–80.0212%6 Nov →
ancient13–110.028%6 Nov →
dust216–12-0.0213%6 Nov →
inferno13–90.0117%6 Nov →
ancient13–60.0718%6 Nov →
inferno10–130.0030%2 Nov →
inferno13–5-0.0212%2 Nov →
inferno14–160.0227%2 Nov →
mirage9–130.0014%2 Nov →
inferno9–5-0.0123%2 Nov →
overpass9–10.1526%2 Nov →
mirage16–14-0.0019%1 Nov →
mirage13–30.1015%1 Nov →
anubis13–110.0619%1 Nov →
cache13–80.0415%1 Nov →
mirage13–40.0132%1 Nov →
dust25–00.0529%1 Nov →
ancient3–130.0015%31 Oct →
inferno1–9-0.1611%31 Oct →
inferno5–90.0612%31 Oct →
inferno5–9-0.0113%31 Oct →
inferno9–40.0436%31 Oct →
inferno9–20.1115%31 Oct →
inferno9–40.1218%31 Oct →
nuke16–120.039%31 Oct →
mirage13–80.0412%31 Oct →
inferno9–50.0717%31 Oct →
office12–120.2733%31 Oct →
anubis13–10-0.018%31 Oct →
inferno9–6-0.1038%30 Oct →
inferno9–70.0222%30 Oct →
inferno4–9-0.1714%30 Oct →
inferno9–40.0918%30 Oct →
inferno9–10.1527%30 Oct →
inferno9–20.1323%30 Oct →
inferno7–90.0513%30 Oct →
inferno9–30.0920%29 Oct →
inferno4–90.0821%29 Oct →
anubis7–130.0217%29 Oct →
ancient13–70.018%27 Oct →
cache13–8-0.0220%27 Oct →
mirage13–80.0712%27 Oct →
dust210–13-0.0327%27 Oct →
inferno9–10.3026%27 Oct →
inferno13–50.028%24 Oct →
mirage13–90.058%24 Oct →
inferno13–50.0118%24 Oct →
inferno9–00.3529%23 Oct →
inferno8–8-0.0223%23 Oct →
inferno9–60.0716%23 Oct →
inferno9–60.0521%23 Oct →
inferno9–40.0310%23 Oct →
inferno4–9-0.0630%23 Oct →
inferno5–9-0.0215%23 Oct →
inferno9–50.1223%23 Oct →
inferno9–20.1724%23 Oct →
inferno9–60.1018%23 Oct →
inferno4–90.0914%23 Oct →
inferno7–90.1014%23 Oct →
inferno9–50.1515%23 Oct →
inferno9–40.2522%23 Oct →
inferno9–70.0927%23 Oct →
inferno9–50.0817%23 Oct →
inferno9–30.1218%23 Oct →
inferno9–30.2124%23 Oct →
inferno9–00.1714%23 Oct →
inferno9–6-0.0412%23 Oct →

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 →

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