bens3n

bens3n — CS2 Stats

DE76561197960519547[U:1:253819]Steam profile ↗1 game ban

881Tracked matches53%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating12,807Blue band · top ~40% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (10 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: 12,807 +1,829 11 May – 22 Oct · 42 days played
10,07312,807peak 12,80711 May22 Oct
12,807Peak Premier in tracked matches
57Days played since 2026-05-11

Premier CS Rating

  • At peak — 12,807
  • +1,282 over 30 days · improving
  • +2,211 over 90 days
  • Next: Purple band at 15,000 — 2,193 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-10
  • Light Blue band first seen 2026-09-10

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

Share this profile

CSDB.GGbens3nFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,807 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning48
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLWLWWLWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · +33ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 649ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 622ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 606ms

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 (+2.9 against its own average).

Aim3.7
Utility6.1
Positioning4.8
Opening Duels2.0
Clutch0.0

Effective flashes

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 63% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.7
Positioning4.8
Utility6.1
Mechanics2.6
Opening Duels1.7
Win Impact6.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time602ms+24ms
first ⅓ avg 577ms → last ⅓ avg 602ms
Headshot accuracy13.2%−2.3%
first ⅓ avg 15.5% → last ⅓ avg 13.2%

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

0.06Best match rating · 13–6 · dust2, 9 Aug →
31%Best headshot accuracy · 11–13 · dust2, 30 Aug →
422msFastest reaction time · 13–11 · inferno, 26 Aug →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–9In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 67% over 15dust2Weakest map · 40% over 42
MapGradePlayedRecordWin rateAvg rating
dust2C4217–2540%-0.03
infernoC2410–1442%-0.03
anubisS1510–567%-0.00
cacheA85–363%-0.01
ancient—42–250%-0.04
nuke—42–250%-0.03
mirage—33–0100%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 42). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

134Matches
51%Win rate
0.88Avg K/D
79.0ADR
29%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%0.8517.0
Dust21100%0.8012.0
Cache1100%0.6511.0

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.

12.7%Headshot accuracy
29.3%Accuracy (enemy spotted)
35.0%Spray accuracy
61.8%Counter-strafing
9.9°Preaim
606msReaction time
37.4%T opening success
36.2%CT opening success
0.78Enemies flashed / flash
4.9%Flash assists
9.76HE damage / grenade
8.72Flashes / 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 12.6781% — below the 15% mark we flag

    Aim Training →
  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 37.4233% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 42 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0013%22 Oct →
inferno10–13-0.0711%22 Oct →
dust213–11-0.0613%18 Oct →
ancient7–13-0.0522%18 Oct →
dust213–8-0.027%9 Oct →
dust213–1-0.037%9 Oct →
inferno13–16-0.104%9 Oct →
dust213–6-0.056%9 Oct →
cache13–10-0.049%28 Sept →
inferno7–130.0112%28 Sept →
cache11–130.0110%27 Sept →
inferno13–7-0.0210%27 Sept →
nuke13–50.0016%25 Sept →
cache11–13-0.0513%14 Sept →
dust216–14-0.0419%13 Sept →
anubis7–13-0.0423%13 Sept →
dust29–13-0.0318%13 Sept →
ancient16–140.017%2 Sept →
inferno8–13-0.048%31 Aug →
anubis8–130.018%31 Aug →
dust213–8-0.0318%30 Aug →
dust211–13-0.0531%30 Aug →
inferno13–110.0310%26 Aug →
anubis13–16-0.027%26 Aug →
inferno13–10-0.098%24 Aug →
inferno13–60.0619%17 Aug →
ancient9–13-0.107%17 Aug →
inferno10–13-0.0611%16 Aug →
dust213–100.0425%16 Aug →
cache13–2-0.008%12 Aug →
dust213–11-0.0024%12 Aug →
cache16–13-0.0612%9 Aug →
dust213–60.0618%9 Aug →
cache13–40.0413%9 Aug →
dust29–13-0.0919%6 Aug →
anubis13–6-0.019%6 Aug →
inferno6–13-0.0229%6 Aug →
dust213–9-0.019%5 Aug →
anubis13–30.0211%5 Aug →
dust27–13-0.045%5 Aug →
dust211–13-0.0410%4 Aug →
cache13–9-0.0211%3 Aug →
inferno10–13-0.066%3 Aug →
dust213–10-0.0225%3 Aug →
dust27–13-0.0814%30 Jul →
dust214–16-0.0123%29 Jul →
cache10–130.0113%28 Jul →
dust23–13-0.0913%28 Jul →
anubis16–12-0.0117%26 Jul →
inferno16–12-0.0711%23 Jul →
inferno13–10-0.0111%22 Jul →
dust27–13-0.0216%22 Jul →
inferno5–130.0319%21 Jul →
anubis13–70.0213%15 Jul →
dust29–13-0.0313%13 Jul →
dust29–13-0.0322%12 Jul →
inferno10–13-0.0620%10 Jul →
inferno13–6-0.039%9 Jul →
inferno8–13-0.064%8 Jul →
dust212–12-0.0921%8 Jul →
anubis13–10-0.0514%2 Jul →
anubis7–13-0.047%2 Jul →
dust215–15-0.0416%1 Jul →
dust216–14-0.0610%1 Jul →
dust211–130.0016%28 Jun →
nuke7–13-0.037%24 Jun →
dust211–13-0.049%22 Jun →
inferno8–13-0.0510%21 Jun →
dust213–10-0.0513%21 Jun →
dust213–8-0.047%18 Jun →
nuke16–14-0.0517%18 Jun →
inferno13–10-0.0518%17 Jun →
anubis13–10.0019%17 Jun →
mirage16–14-0.0415%16 Jun →
dust213–9-0.0217%15 Jun →
dust26–13-0.0625%11 Jun →
anubis13–80.0213%5 Jun →
dust215–15-0.0314%5 Jun →
dust29–13-0.0015%2 Jun →
dust27–13-0.069%31 May →
mirage16–13-0.0016%28 May →
inferno7–13-0.0122%28 May →
inferno7–13-0.0026%27 May →
nuke6–13-0.0616%26 May →
dust215–15-0.0121%26 May →
inferno11–13-0.0227%25 May →
dust29–13-0.0026%25 May →
dust213–8-0.0711%21 May →
dust215–15-0.0415%21 May →
anubis13–100.0213%21 May →
anubis13–60.0514%20 May →
mirage13–100.0414%20 May →
dust216–130.019%20 May →
anubis7–13-0.0513%20 May →
dust211–13-0.0217%18 May →
dust29–13-0.0815%17 May →
inferno13–4-0.0511%17 May →
inferno13–6-0.0223%17 May →
dust25–13-0.014%17 May →
anubis13–50.048%11 May →

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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