BeansSi — CS2 Stats

DK76561197963686473[U:1:3420745]Steam profile ↗✓ No bans

2,599Tracked matches52%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating17,232Purple band · top ~19.5% of ranked players (population est.)

CSDB Leaderboard#30340 of 58979 tracked

Ladder ranks via Leetify

Rating over time

17,898Peak Premier on CSDB

1,391Peak Faceit ELO on CSDB

1Days observed since 2026-08-29

Faceit ELO

At peak — 1,391
Next: Level 8 at 1,531 — 140 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-08-29
Level 6 first seen 2026-08-29

Premier CS Rating

666 below peak (17,898)
Next: Pink band at 20,000 — 2,768 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-29
Blue band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim75

Positioning57

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLLWWLWWLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression7.6

Utility4.7

Positioning5.7

Opening Duels4.2

Clutch4.6

Strong CT-side openerLimited utility dependence

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

Plays most like ropz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim7.5

Positioning5.7

Utility4.7

Mechanics4.7

Opening Duels4.2

Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time556ms−38ms

first ⅓ avg 594ms → last ⅓ avg 556ms

Headshot accuracy21.1%−2.5%

first ⅓ avg 23.6% → last ⅓ avg 21.1%

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.

Highlights

0.24Best rating — ancient 13–3

13–2Biggest win — nuke

4Longest win streak

L3Current streak

6–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 60% over 5mirageWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	15–13	54%	0.03
nuke	B	20	10–10	50%	0.04
ancient	B	19	9–10	47%	0.04
mirage	D	10	2–8	20%	0.00
anubis	D	9	2–7	22%	0.02
dust2	A	5	3–2	60%	0.02
overpass	—	4	1–3	25%	-0.07
cache	—	3	2–1	67%	0.00
vertigo	—	2	1–1	50%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

988Matches

50%Win rate

1.03Avg K/D

79.5ADR

43%Headshot %

Clutches & streaks

43%1v1 clutch win

26%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	69	57%	1.21	16.3
Ancient	60	48%	0.98	15.5
Nuke	47	55%	1.16	17.1
Overpass	22	55%	1.04	15.7
Anubis	16	38%	1.14	15.3
Vertigo	15	53%	1.13	16.1
Dust2	13	38%	0.88	13.9
Cache	9	56%	1.27	15.7

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.

20.7%Headshot accuracy

35.5%Accuracy (enemy spotted)

43.2%Spray accuracy

71.2%Counter-strafing

9.9°Preaim

557msReaction time

38.6%T opening success

54.7%CT opening success

0.44Enemies flashed / flash

5.3%Flash assists

10.44HE damage / grenade

4.96Flashes / 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.

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 0.4354 — below the 0.5 mark we flag
Grenade Lineups →
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 38.6048% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	1–13	-0.04	8%	30 Aug →
ancient	9–13	-0.00	18%	30 Aug →
inferno	11–13	0.05	23%	29 Aug →
nuke	13–5	0.13	18%	29 Aug →
ancient	13–11	0.04	14%	29 Aug →
anubis	11–13	0.08	12%	29 Aug →
nuke	13–5	0.06	25%	28 Aug →
inferno	13–9	0.04	16%	27 Aug →
ancient	8–13	-0.01	13%	27 Aug →
mirage	0–13	-0.07	10%	26 Aug →
dust2	13–10	0.05	21%	26 Aug →
nuke	2–13	-0.03	13%	26 Aug →
cache	13–5	0.07	33%	25 Aug →
mirage	16–14	0.03	31%	24 Aug →
inferno	13–7	0.06	23%	24 Aug →
anubis	8–13	-0.03	13%	24 Aug →
inferno	6–13	0.05	31%	24 Aug →
inferno	6–13	-0.01	26%	23 Aug →
inferno	3–13	-0.08	16%	23 Aug →
inferno	13–4	0.16	34%	23 Aug →
nuke	13–2	0.10	20%	23 Aug →
vertigo	3–13	0.05	31%	23 Aug →
inferno	13–3	0.02	23%	23 Aug →
ancient	13–5	0.03	23%	7 Aug →
inferno	13–10	-0.03	22%	7 Aug →
ancient	13–3	0.24	20%	7 Aug →
inferno	8–13	0.01	13%	7 Aug →
anubis	15–15	0.05	20%	26 Jul →
inferno	10–13	-0.02	23%	26 Jul →
anubis	13–8	0.07	23%	26 Jul →
ancient	13–7	0.06	34%	25 Jul →
inferno	7–13	0.04	33%	25 Jul →
inferno	11–13	-0.01	15%	24 Jul →
ancient	11–13	0.01	13%	24 Jul →
dust2	11–13	-0.07	14%	23 Jul →
ancient	6–13	-0.04	22%	22 Jul →
ancient	2–7	-0.04	24%	22 Jul →
anubis	8–13	0.03	21%	22 Jul →
ancient	13–3	0.09	13%	22 Jul →
mirage	4–13	-0.04	17%	22 Jul →
mirage	7–13	0.06	28%	21 Jul →
inferno	10–13	0.06	40%	21 Jul →
nuke	13–4	0.09	27%	21 Jul →
anubis	5–13	-0.04	29%	21 Jul →
mirage	5–13	0.01	25%	21 Jul →
mirage	7–13	-0.01	33%	21 Jul →
mirage	13–4	0.00	25%	21 Jul →
inferno	13–8	0.05	40%	20 Jul →
nuke	14–16	-0.07	16%	20 Jul →
inferno	16–12	0.04	29%	20 Jul →
ancient	8–13	0.06	19%	19 Jul →
nuke	14–16	-0.01	21%	19 Jul →
cache	8–13	-0.09	11%	19 Jul →
ancient	13–7	0.04	33%	19 Jul →
mirage	5–13	0.02	15%	19 Jul →
nuke	10–13	0.02	20%	19 Jul →
dust2	11–13	0.03	21%	19 Jul →
ancient	8–13	0.02	11%	18 Jul →
cache	13–3	0.02	14%	18 Jul →
inferno	8–13	0.02	14%	18 Jul →
dust2	13–9	0.01	10%	18 Jul →
ancient	13–9	-0.02	12%	18 Jul →
inferno	13–7	-0.05	10%	18 Jul →
mirage	8–13	-0.01	12%	17 Jul →
nuke	6–13	-0.02	26%	17 Jul →
nuke	9–13	0.01	22%	17 Jul →
inferno	16–13	0.06	22%	17 Jul →
nuke	13–9	0.04	41%	17 Jul →
vertigo	13–11	0.13	20%	7 Jul →
overpass	1–13	-0.14	33%	5 Jul →
ancient	13–11	0.05	21%	5 Jul →
nuke	11–13	0.01	20%	5 Jul →
anubis	3–13	-0.02	10%	5 Jul →
mirage	8–13	0.03	22%	5 Jul →
ancient	9–13	0.04	21%	5 Jul →
nuke	13–7	0.16	17%	5 Jul →
anubis	13–11	0.09	12%	5 Jul →
overpass	9–13	0.02	12%	3 Jul →
nuke	9–13	0.01	19%	3 Jul →
overpass	13–7	-0.06	23%	3 Jul →
nuke	15–15	0.11	20%	2 Jul →
ancient	14–16	0.05	18%	2 Jul →
nuke	13–7	0.05	27%	2 Jul →
ancient	11–13	0.07	24%	30 Jun →
inferno	15–15	0.03	22%	30 Jun →
inferno	13–8	-0.02	35%	28 Jun →
inferno	13–7	0.07	22%	28 Jun →
overpass	7–13	-0.08	26%	28 Jun →
nuke	13–5	-0.05	30%	28 Jun →
inferno	13–3	0.03	19%	28 Jun →
nuke	13–5	0.02	35%	28 Jun →
nuke	7–13	0.04	22%	28 Jun →
inferno	13–9	0.08	32%	28 Jun →
ancient	13–5	0.14	25%	27 Jun →
dust2	16–13	0.07	32%	27 Jun →
anubis	7–13	-0.03	21%	26 Jun →
inferno	7–13	0.04	25%	26 Jun →
inferno	13–11	0.01	25%	25 Jun →
nuke	16–13	0.08	14%	25 Jun →
inferno	13–8	0.08	31%	25 Jun →