Beans aqqiN

Beans aqqiN — CS2 Stats

AU76561198164051799[U:1:203786071]Steam profile ↗

2,387Tracked matches62%Win rate2020Tracked since
3,304Hours in CS31Hrs last 2 wks
CSDB Rating7.0 StrongAggressive Rifler
Premier CS Rating24,555Top 50% of 819 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#3629 of 21004 tracked
FaceitLevel 8 · 1,622 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGBeans aqqiNFACEITLevel 8 · 1,622 ELOSTANDINGTop 31.2% of rankedPREMIER24,555 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning57
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY58384Last 10058%Win rateWLWLLWLWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.2
Utility6.5
Positioning5.7
Opening Duels3.6
Clutch3.2

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.

Your pro match

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 594ms 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

Aim7.9
Positioning5.7
Utility6.5
Mechanics7.6
Opening Duels3.6
Win Impact9.0

Composite 7.0/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time589ms−83ms
first ⅓ avg 672ms → last ⅓ avg 589ms
Headshot accuracy22.9%−1.2%
first ⅓ avg 24.2% → last ⅓ avg 22.9%

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.

Highlights

0.14Best rating — dust2 11–13
131Biggest win — ancient
9Longest win streak
47In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 71% over 21anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A31171455%0.01
mirageS2115671%0.02
ancientS139469%0.01
infernoA117464%0.03
cacheB84450%-0.02
nukeC73443%-0.00
anubisD5050%0.00
train220100%0.02
vertigo1010%-0.03
overpass110100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,990Lifetime kills
1.02K/D
4,714Matches
42.6%Match win rate
51.4%Headshot % · Top 50% of Pink band
16.2%Shot accuracy · Top 25% of Pink band
9,903MVPs
1,738Hours (in match)
3,220Bombs planted
1,252Bombs defused

Most-used weapons

Lifetime map wins

10,451dust2
5,529inferno
2,312vertigo
2,304nuke
1,331train
439cbble
194lake
154office

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

Faceit stats

Combat

473Matches
50%Win rate
1.06Avg K/D
80.8ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%1.0017.3
Anubis1050%0.9215.9
Dust2850%1.0418.3
Inferno875%1.5418.1
Nuke425%0.9718.3
Ancient475%1.2017.5
Vertigo10%0.8612.0
Overpass10%0.6210.0

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.

23.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.0%Spray accuracy
84.0%Counter-strafing
9.2°Preaim
594msReaction time
38.7%T opening success
50.3%CT opening success
0.76Enemies flashed / flash
7.8%Flash assists
10.08HE damage / grenade
12.47Flashes / 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 38.6584% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–90.0127%28 Aug
dust29–130.0220%28 Aug
mirage13–8-0.0214%28 Aug
dust26–13-0.0427%28 Aug
cache9–130.0728%25 Aug
mirage13–10-0.0213%25 Aug
dust211–13-0.0220%25 Aug
dust213–100.0226%25 Aug
dust213–70.1043%21 Aug
nuke13–50.1236%21 Aug
dust215–15-0.0118%21 Aug
dust213–100.0210%21 Aug
mirage13–20.0120%21 Aug
mirage13–60.0328%21 Aug
dust24–13-0.0338%21 Aug
inferno13–60.0541%21 Aug
nuke11–130.0233%21 Aug
mirage3–13-0.0616%21 Aug
dust213–40.1028%18 Aug
inferno13–70.0421%18 Aug
ancient13–10.0714%18 Aug
dust29–13-0.0118%18 Aug
dust216–130.0521%10 Aug
ancient13–3-0.0121%10 Aug
dust213–7-0.0232%10 Aug
mirage6–13-0.0316%10 Aug
inferno13–70.0414%10 Aug
cache13–3-0.0713%10 Aug
ancient0–4-0.0513%10 Aug
nuke1–13-0.1322%10 Aug
dust28–13-0.0119%10 Aug
ancient15–150.0229%9 Aug
mirage13–90.0019%9 Aug
cache8–13-0.0728%9 Aug
mirage6–130.0324%9 Aug
dust213–50.0123%9 Aug
anubis10–130.0220%7 Aug
mirage13–7-0.0026%7 Aug
vertigo6–13-0.0327%7 Aug
inferno8–130.0723%7 Aug
ancient13–90.1212%7 Aug
dust213–60.0518%7 Aug
dust210–13-0.0512%4 Aug
mirage9–130.0514%4 Aug
mirage13–30.0216%4 Aug
dust213–10-0.0311%4 Aug
ancient15–15-0.0014%3 Aug
dust213–10-0.0212%3 Aug
ancient13–50.0418%1 Aug
dust213–3-0.0613%1 Aug
cache13–3-0.0524%31 Jul
mirage13–6-0.0313%31 Jul
dust213–10-0.0817%31 Jul
inferno13–10.1125%30 Jul
nuke13–70.0319%30 Jul
dust213–90.1024%30 Jul
cache1–13-0.0437%30 Jul
dust26–130.0525%30 Jul
anubis10–13-0.0411%30 Jul
mirage6–130.0417%30 Jul
dust28–13-0.0511%30 Jul
anubis3–130.0422%26 Jul
ancient16–14-0.0426%26 Jul
anubis11–13-0.0324%24 Jul
inferno16–130.0526%24 Jul
ancient13–11-0.068%19 Jul
dust213–50.0115%19 Jul
overpass13–6-0.0115%19 Jul
train13–80.0419%19 Jul
mirage13–100.0620%19 Jul
nuke11–13-0.0919%19 Jul
inferno4–130.0214%19 Jul
dust213–60.0118%19 Jul
dust211–130.1431%10 Jul
mirage12–120.0927%10 Jul
mirage13–110.0218%9 Jul
ancient3–13-0.0319%9 Jul
cache7–130.0635%9 Jul
ancient13–90.0235%9 Jul
mirage13–60.0835%9 Jul
train13–8-0.0043%9 Jul
mirage13–5-0.0824%6 Jul
dust213–100.0430%6 Jul
cache13–100.0332%6 Jul
mirage13–90.0321%3 Jul
dust214–160.0231%3 Jul
nuke13–30.0822%3 Jul
dust26–13-0.0430%3 Jul
ancient6–10.0130%3 Jul
dust213–90.0425%3 Jul
mirage13–90.0310%3 Jul
anubis7–130.0128%3 Jul
nuke10–13-0.0614%3 Jul
cache13–5-0.0530%3 Jul
dust24–13-0.0216%3 Jul
inferno13–8-0.0523%3 Jul
ancient13–110.0217%3 Jul
inferno8–13-0.0015%29 Jun
mirage13–60.0920%27 Jun
inferno11–130.0430%27 Jun

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 →