B3NN!

B3NN! — CS2 Stats

76561199741318140[U:1:1781052412]Steam profile ↗✓ No bans

545Tracked matches54%Win rate2026Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating9,489Light Blue band · top ~57.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 9,489 +784 19 Sept – 14 Oct · 11 days played
8,4209,999peak 9,99919 Sept14 Oct
9,999Peak Premier in tracked matches
17Days played since 2026-09-19

Premier CS Rating

  • 510 below peak (9,999)
  • +784 over 30 days · improving
  • Next: Blue band at 10,000 — 511 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-19

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

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CSDB.GGB3NN!PREMIER9,489 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY47–42–11Last 10047%Win rateTLWLLWWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.4pp headshot accuracy · −52ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 37%
  • Avg reaction 638ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 34%
  • Avg reaction 652ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 34%
  • Avg reaction 678ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.4
Utility5.7
Positioning5.0
Opening Duels2.3

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

ZywOo

Plays most like ZywOo 97% 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

Reaction time. 652ms 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

Aim7.4
Positioning5.0
Utility5.7
Mechanics8.1
Opening Duels1.7
Win Impact6.3

Composite 5.5/10 (Solid), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time665ms+45ms
first ⅓ avg 620ms → last ⅓ avg 665ms
Headshot accuracy30.8%+3.0%
first ⅓ avg 27.8% → last ⅓ avg 30.8%

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

0.33Best match rating · 9–1 · inferno, 2 Oct →
67%Best headshot accuracy · 2–0 · cache, 8 Oct →
391msFastest reaction time · 3–9 · inferno, 29 Sept →
13–1Biggest win · inferno, 11 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 62% over 13vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB5025–2550%0.05
cacheC176–1135%0.03
nukeA138–562%0.01
vertigoD62–433%0.04
dust2C52–340%0.02
anubis—30–30%0.04
ancient—31–233%-0.01
mirage—22–0100%0.11
poseidon—11–0100%0.01

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
32.3%Spray accuracy
86.7%Counter-strafing
11.8°Preaim
652msReaction time
31.8%T opening success
42.1%CT opening success
0.52Enemies flashed / flash
6.6%Flash assists
10.56HE damage / grenade
7.46Flashes / 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. 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 31.8403% — below the 40% mark we flag

Spend your practice time on Vertigo

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

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–80.0638%14 Oct →
dust22–130.0340%14 Oct →
vertigo9–5-0.0150%14 Oct →
anubis7–130.0833%14 Oct →
anubis5–13-0.0024%14 Oct →
inferno9–60.0146%14 Oct →
dust213–90.1228%13 Oct →
inferno9–60.0832%13 Oct →
inferno13–100.1230%13 Oct →
inferno6–9-0.0821%12 Oct →
nuke4–13-0.0214%12 Oct →
inferno7–90.0523%12 Oct →
cache10–130.0734%11 Oct →
inferno6–8-0.0632%11 Oct →
cache13–20.0656%11 Oct →
inferno13–70.0241%11 Oct →
inferno8–80.0444%11 Oct →
inferno12–12-0.0224%11 Oct →
nuke10–13-0.0530%11 Oct →
cache13–6-0.0431%11 Oct →
inferno13–1-0.0227%11 Oct →
inferno5–9-0.0631%10 Oct →
inferno6–9-0.1222%10 Oct →
inferno7–90.0323%10 Oct →
dust29–2-0.0222%10 Oct →
inferno9–20.2032%10 Oct →
ancient13–20.0129%10 Oct →
cache9–130.0023%10 Oct →
inferno9–70.0828%9 Oct →
nuke13–50.0021%9 Oct →
inferno9–40.1827%9 Oct →
mirage13–50.1038%9 Oct →
inferno9–50.1123%8 Oct →
nuke13–7-0.0140%8 Oct →
dust212–12-0.0032%8 Oct →
cache12–12-0.0532%8 Oct →
cache2–00.1267%8 Oct →
inferno9–30.1544%8 Oct →
inferno12–12-0.0131%8 Oct →
inferno9–70.2130%7 Oct →
inferno7–90.0538%7 Oct →
inferno5–13-0.0524%6 Oct →
ancient8–13-0.0531%6 Oct →
cache9–130.0627%6 Oct →
inferno9–10.0731%6 Oct →
nuke13–70.0325%6 Oct →
inferno13–70.0118%5 Oct →
cache11–130.0221%5 Oct →
nuke7–130.0033%5 Oct →
cache13–2-0.0020%5 Oct →
inferno7–13-0.0230%5 Oct →
inferno9–130.0114%4 Oct →
dust29–13-0.0120%4 Oct →
inferno2–9-0.1315%4 Oct →
inferno9–20.3148%4 Oct →
nuke13–90.0324%4 Oct →
vertigo9–40.2236%4 Oct →
poseidon9–50.0130%4 Oct →
inferno13–60.0726%4 Oct →
inferno9–40.1639%4 Oct →
inferno0–9-0.2318%4 Oct →
nuke13–40.0518%4 Oct →
cache13–40.1432%4 Oct →
inferno8–80.0128%4 Oct →
cache9–130.0521%3 Oct →
inferno7–130.0028%3 Oct →
vertigo8–80.0121%3 Oct →
nuke5–130.0119%3 Oct →
inferno9–60.1655%3 Oct →
cache13–5-0.0228%3 Oct →
inferno13–10-0.0129%3 Oct →
inferno6–9-0.0534%3 Oct →
cache1–13-0.0914%2 Oct →
inferno9–70.1432%2 Oct →
vertigo7–9-0.0026%2 Oct →
anubis14–160.0519%2 Oct →
inferno9–10.3322%2 Oct →
inferno9–40.1119%2 Oct →
cache6–130.0128%1 Oct →
vertigo6–90.0339%1 Oct →
inferno1–9-0.207%1 Oct →
inferno8–8-0.0114%1 Oct →
cache6–13-0.0135%1 Oct →
nuke11–80.0225%1 Oct →
cache12–120.0728%30 Sept →
nuke5–13-0.0718%30 Sept →
ancient2–130.0226%30 Sept →
inferno9–70.1736%30 Sept →
inferno9–10.2767%30 Sept →
mirage13–60.1240%30 Sept →
inferno7–13-0.0115%29 Sept →
cache12–120.0729%29 Sept →
nuke13–10.0722%29 Sept →
inferno7–130.0231%29 Sept →
inferno13–10.1533%29 Sept →
inferno3–90.0113%29 Sept →
inferno1–9-0.1850%28 Sept →
inferno9–10.3220%28 Sept →
nuke13–90.0221%28 Sept →
vertigo11–130.0224%28 Sept →

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 →

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