beennniiii

beennniiii — CS2 Stats

CH76561199486334988[U:1:1526069260]Steam profile ↗✓ No bans

2,404Tracked matches45%Win rate2023Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 5 · 1,011 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+415Premier CS Rating · 14,584 → 14,999
0Faceit ELO · 1,011 → 1,011
+30Tracked matches · now 2,404
0.0ppWin rate · 44.8% → 44.8%

Rating over time

Premier CS Rating: 14,999 -310 31 Jul – 1 Oct · 10 days played
14,10315,309peak 15,30931 Jul1 Oct
15,309Peak Premier in tracked matches
1,011Highest Faceit ELO seen on CSDB
41Days played since 2026-07-31

Faceit ELO

  • At peak — 1,011
  • Next: Level 5 at 1,051 — 40 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-22
  • Level 3 first seen 2026-09-22

Premier CS Rating

  • 310 below peak (15,309)
  • +530 over 30 days · improving
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGbeennniiiiFACEITLevel 5 · 1,011 ELOSTANDINGTop 67.6% of rankedPREMIER14,999 · Blue bandPEAK ELO1,011csdb.gg/stats

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Performance scores

Aim56
Positioning52
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWTLLLLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · +66ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 653ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 631ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 599ms

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 (+1.2 against its own average).

Aim5.6
Utility4.6
Positioning5.2
Opening Duels1.8
Clutch4.4

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

NiKo

Plays most like NiKo 81% 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 607ms 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

Aim5.6
Positioning5.2
Utility4.6
Mechanics6.2
Opening Duels5.1
Win Impact3.3

Composite 4.9/10 (Developing), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time617ms−41ms
first ⅓ avg 658ms → last ⅓ avg 617ms
Headshot accuracy13.0%−0.2%
first ⅓ avg 13.2% → last ⅓ avg 13.0%

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

0.13Best match rating · 9–4 · poseidon, 1 Aug →
36%Best headshot accuracy · 3–13 · cache, 25 Aug →
406msFastest reaction time · 4–13 · train, 17 Aug →
13–1Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 58% over 12mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC219–1243%-0.04
ancientB136–746%-0.02
anubisA127–558%-0.01
infernoD103–730%-0.01
nukeB105–550%-0.03
mirageD92–722%-0.01
vertigoB84–450%-0.01
trainB63–350%-0.02
office—41–325%-0.04
dust2—32–167%-0.03
overpass—20–20%-0.04
debris—11–0100%0.04
poseidon—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

439Matches
45%Win rate
0.97Avg K/D
72.9ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno9949%1.0615.3
Ancient8146%0.9514.8
Nuke6644%0.9913.7
Mirage6447%1.0114.6
Dust22931%0.8713.2
Overpass2650%1.0014.5
Anubis2438%0.7310.8
Train2050%0.9613.8

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.

12.8%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.6%Spray accuracy
78.0%Counter-strafing
11.9°Preaim
607msReaction time
60.9%T opening success
39.9%CT opening success
0.40Enemies flashed / flash
4.3%Flash assists
6.92HE damage / grenade
6.73Flashes / 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 12.8169% — 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 0.3993 — 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 39.8791% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–13-0.009%1 Oct →
anubis7–5-0.0620%1 Oct →
mirage12–12-0.0913%30 Sept →
inferno10–13-0.038%29 Sept →
mirage3–13-0.0627%27 Sept →
office3–13-0.0614%25 Sept →
nuke9–13-0.0715%25 Sept →
vertigo13–4-0.039%25 Sept →
vertigo13–8-0.0312%25 Sept →
office13–9-0.0517%24 Sept →
ancient3–13-0.0323%20 Sept →
vertigo5–13-0.0418%19 Sept →
cache5–13-0.0114%19 Sept →
anubis13–10.1011%19 Sept →
inferno8–13-0.0513%19 Sept →
inferno9–2-0.033%17 Sept →
dust213–7-0.0219%17 Sept →
anubis11–13-0.078%17 Sept →
anubis7–13-0.0610%17 Sept →
cache13–1-0.056%17 Sept →
vertigo6–130.028%17 Sept →
ancient13–11-0.059%17 Sept →
nuke13–60.028%16 Sept →
anubis8–13-0.037%16 Sept →
anubis1–13-0.0411%16 Sept →
anubis11–13-0.028%15 Sept →
cache8–13-0.1027%11 Sept →
overpass3–9-0.0512%11 Sept →
cache13–9-0.0723%11 Sept →
anubis13–9-0.045%11 Sept →
nuke13–70.0611%10 Sept →
nuke8–13-0.1111%9 Sept →
cache13–10-0.0522%5 Sept →
inferno8–80.039%4 Sept →
debris9–70.0423%4 Sept →
inferno7–130.0121%4 Sept →
ancient13–20.0412%4 Sept →
nuke13–8-0.0214%4 Sept →
office12–120.029%3 Sept →
office6–13-0.0516%3 Sept →
inferno13–30.0910%2 Sept →
ancient13–2-0.024%30 Aug →
vertigo9–130.0318%30 Aug →
cache6–130.0315%30 Aug →
ancient10–13-0.017%29 Aug →
nuke13–110.0722%29 Aug →
ancient8–130.018%29 Aug →
inferno4–13-0.0511%29 Aug →
mirage5–130.0519%29 Aug →
inferno13–10.0519%29 Aug →
dust27–13-0.0610%29 Aug →
cache11–13-0.0214%28 Aug →
ancient6–13-0.097%28 Aug →
inferno10–13-0.0517%28 Aug →
cache9–13-0.073%28 Aug →
cache12–12-0.0226%26 Aug →
cache2–13-0.0518%26 Aug →
ancient13–30.0012%26 Aug →
cache3–13-0.1036%25 Aug →
mirage5–13-0.0111%24 Aug →
cache13–100.008%23 Aug →
mirage12–12-0.0219%22 Aug →
overpass9–13-0.028%22 Aug →
vertigo13–110.059%22 Aug →
cache8–13-0.0624%22 Aug →
train13–7-0.0213%22 Aug →
cache1–130.028%21 Aug →
dust213–10-0.0217%21 Aug →
cache8–13-0.058%21 Aug →
cache13–110.0411%21 Aug →
vertigo13–7-0.0519%21 Aug →
cache13–10-0.068%21 Aug →
cache13–40.0413%19 Aug →
nuke7–13-0.048%19 Aug →
mirage13–60.0618%18 Aug →
ancient13–11-0.1011%18 Aug →
anubis13–9-0.0420%18 Aug →
train4–13-0.0118%17 Aug →
cache13–8-0.0413%14 Aug →
anubis16–140.055%12 Aug →
train13–10-0.056%12 Aug →
train10–13-0.0214%12 Aug →
train13–10-0.0312%12 Aug →
vertigo10–13-0.0219%11 Aug →
cache5–13-0.0710%11 Aug →
nuke13–5-0.018%10 Aug →
nuke7–9-0.0624%9 Aug →
mirage8–13-0.092%5 Aug →
inferno11–13-0.0723%5 Aug →
ancient6–130.0019%4 Aug →
mirage6–130.0013%4 Aug →
nuke8–13-0.1026%3 Aug →
ancient9–13-0.0110%2 Aug →
mirage13–60.0614%1 Aug →
ancient1–10.0520%1 Aug →
poseidon9–40.1314%1 Aug →
train10–130.0111%31 Jul →
cache13–11-0.0910%31 Jul →
anubis13–20.087%31 Jul →
ancient13–11-0.015%31 Jul →

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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