Beni

Beni — CS2 Stats

HU76561198339936389[U:1:379670661]Steam profile ↗✓ No bans

964Tracked matches44%Win rate2021Tracked since
1,031Hours in CS
CSDB Rating5.0 DevelopingPositional Player
CSDB Leaderboard#67033 of 221777 tracked
FaceitLevel 5 · 1,192 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 25 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,496 +845 21 Jun5 Jul · 3 days played
19,65120,496peak 20,49621 Jun5 Jul
20,496Peak Premier in tracked matches
1,192Highest Faceit ELO seen on CSDB
24Days played since 2026-03-25

Faceit ELO

  • At peak — 1,192
  • Next: Level 6 at 1,201 9 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=11,606), 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 5 medianLevel 6 medianvs Level 6
Headshot rate48.1%43.8%44.9%above
Shot accuracy11.9%12.0%12.4%0.5% short
Kill/death ratio0.951.021.040.09 short
Match win rate36.4%44.7%45.3%8.8% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBeniFACEITLevel 5 · 1,192 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,192csdb.gg/stats

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Performance scores

Aim71
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

COLD375211Last 10037%Win rateLLTLWWLLLW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +3.0pp headshot accuracy · −63ms reaction

Win rate down 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 470ms

Last 10

  • 361 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 513ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim7.1
Utility6.0
Positioning6.2
Opening Duels3.1
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 83% 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. 552ms 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

Aim7.1
Positioning6.2
Utility6.0
Mechanics5.3
Opening Duels2.1
Win Impact3.1

Composite 5.0/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time567ms+8ms
first ⅓ avg 559ms → last ⅓ avg 567ms
Headshot accuracy20.1%−2.2%
first ⅓ avg 22.3% → last ⅓ avg 20.1%

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

0.17Best match rating · 13–3 · cache, 30 May
33%Best headshot accuracy · 13–3 · cache, 2 May
375msFastest reaction time · 3–13 · inferno, 28 Mar
13–1Biggest win · cache, 2 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
103In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 60% over 10ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
cacheC1971237%0.01
infernoD1651131%-0.02
dust2D1441029%-0.01
mirageD124833%0.02
ancientD123925%-0.00
nukeA106460%0.03
anubisC104640%0.02
overpassB63350%0.03
train110100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,959Lifetime kills
0.95K/D
2,711Matches
36.4%Match win rate
48.1%Headshot % · Top 50% of Level 5 players
11.9%Shot accuracy
4,999MVPs
1,031Hours (in match)
2,726Bombs planted
569Bombs defused

Most-used weapons

AK-4723,445
AWP9,475
MAC-101,087
MP91,024
P2501,007

Lifetime map wins

5,486inferno
2,203dust2
2,164nuke
1,046vertigo
845office
319cbble
280train
17italy

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

Faceit stats

Combat

78Matches
50%Win rate
1.09Avg K/D
89.4ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis978%1.2318.9
Inferno850%1.0619.5
Ancient729%1.3623.6
Mirage650%1.0014.2
Nuke425%0.7611.8
Vertigo10%1.0523.0
Dust210%1.2117.0
Overpass10%0.8815.0

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.

20.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
43.8%Spray accuracy
73.7%Counter-strafing
10.8°Preaim
552msReaction time
33.6%T opening success
43.5%CT opening success
0.70Enemies flashed / flash
5.8%Flash assists
9.35HE damage / grenade
7.74Flashes / 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 33.5667% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–130.0232%22 Aug
mirage11–130.0227%22 Aug
nuke12–120.0317%22 Aug
dust26–130.0013%22 Aug
inferno13–11-0.0429%29 Jul
ancient13–70.0116%29 Jul
inferno9–13-0.0524%27 Jul
cache1–13-0.0520%27 Jul
nuke11–130.0523%20 Jul
inferno13–80.0217%20 Jul
cache13–5-0.0411%20 Jul
nuke13–11-0.0423%20 Jul
dust29–130.0324%20 Jul
ancient6–13-0.0218%20 Jul
nuke13–80.0620%5 Jul
inferno6–13-0.0526%5 Jul
ancient5–13-0.0516%5 Jul
dust213–8-0.0713%24 Jun
ancient13–7-0.0216%24 Jun
mirage8–13-0.0520%24 Jun
ancient15–150.0318%24 Jun
dust210–13-0.0716%24 Jun
inferno13–10-0.0219%24 Jun
inferno12–120.0011%23 Jun
ancient7–130.0425%23 Jun
mirage6–1-0.0223%23 Jun
cache13–50.0617%21 Jun
overpass8–130.0023%21 Jun
inferno5–13-0.0427%21 Jun
nuke13–110.0418%21 Jun
inferno8–13-0.0116%14 Jun
anubis10–130.0222%14 Jun
dust29–13-0.0525%14 Jun
overpass10–13-0.0121%14 Jun
nuke13–110.0518%10 Jun
ancient13–6-0.0121%10 Jun
dust26–13-0.0332%10 Jun
nuke6–130.0427%10 Jun
inferno13–6-0.0218%10 Jun
ancient9–13-0.0830%1 Jun
mirage6–130.0727%1 Jun
cache13–70.1317%1 Jun
dust213–110.0927%1 Jun
anubis13–100.0119%1 Jun
overpass7–130.0118%30 May
cache13–30.1726%30 May
mirage10–130.0418%30 May
inferno2–13-0.0325%30 May
anubis12–120.0325%30 May
dust27–13-0.0521%23 May
cache3–130.019%23 May
cache5–130.0412%23 May
mirage12–120.0311%23 May
anubis6–130.0523%23 May
dust22–13-0.0311%23 May
inferno12–120.0123%23 May
inferno5–13-0.0621%16 May
ancient12–120.0521%16 May
cache12–12-0.0614%16 May
overpass13–70.0632%16 May
dust213–60.0813%16 May
train13–50.0417%16 May
cache9–130.0427%9 May
cache9–130.0023%9 May
mirage2–130.0222%9 May
cache10–130.0122%9 May
ancient12–12-0.0014%9 May
inferno7–13-0.0319%9 May
anubis9–13-0.0924%9 May
cache8–13-0.0532%9 May
cache4–130.0021%3 May
cache13–110.0017%3 May
cache8–13-0.0223%3 May
mirage13–100.0419%3 May
cache13–1-0.0315%2 May
cache13–30.0133%2 May
overpass13–110.0414%2 May
mirage12–120.0621%2 May
cache12–12-0.0315%2 May
anubis13–80.0630%27 Apr
anubis13–11-0.0432%27 Apr
anubis9–13-0.0019%24 Apr
nuke13–50.0424%24 Apr
anubis11–130.1417%18 Apr
dust25–130.0821%18 Apr
mirage13–20.0924%18 Apr
anubis13–110.0319%6 Apr
mirage6–13-0.0822%6 Apr
dust24–13-0.0515%29 Mar
overpass13–100.0922%29 Mar
nuke13–50.0919%29 Mar
inferno5–130.0333%29 Mar
ancient8–13-0.0124%29 Mar
mirage13–90.0530%28 Mar
ancient8–130.0424%28 Mar
inferno3–13-0.0618%28 Mar
nuke4–13-0.0424%28 Mar
dust26–130.0013%28 Mar
dust213–11-0.0322%25 Mar
inferno13–80.0830%25 Mar

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 →