Beanut — CS2 Stats

76561198069675121[U:1:109409393]

373Tracked matches66%Win rate2023Tracked since

CSDB Rating5.8 SolidClutch Specialist

Premier CS Rating19,674Purple band · top ~9.8% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning52

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateLWLLLLWLWW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.3

Aggression5.5

Utility2.7

Positioning5.2

Opening Duels1.3

Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 NiKo 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim6.3

Positioning5.2

Utility2.7

Mechanics8.2

Opening Duels2.1

Win Impact10.0

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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time624ms−15ms

first ⅓ avg 639ms → last ⅓ avg 624ms

Headshot accuracy11.7%+2.4%

first ⅓ avg 9.3% → last ⅓ avg 11.7%

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 — ancient 13–6

13–1Biggest win — inferno

5Longest win streak

10–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 71% over 17mirageWeakest map · 50% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	0.00
anubis	B	17	9–8	53%	-0.01
ancient	S	17	12–5	71%	-0.00
dust2	S	15	10–5	67%	0.01
cache	A	11	6–5	55%	-0.02
inferno	A	11	6–5	55%	0.02
nuke	A	9	5–4	56%	0.03
vertigo	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches

71%Win rate

1.02Avg K/D

76.9ADR

32%Headshot %

Clutches & streaks

86%1v1 clutch win

14%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	75%	1.38	17.8
Anubis	3	33%	0.98	18.7
Vertigo	1	100%	0.56	14.0
Mirage	1	100%	1.09	24.0

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.

11.6%Headshot accuracy

34.7%Accuracy (enemy spotted)

36.5%Spray accuracy

86.7%Counter-strafing

10.2°Preaim

618msReaction time

23.5%T opening success

47.1%CT opening success

0.36Enemies flashed / flash

4.3%Flash assists

10.30HE damage / grenade

3.46Flashes / 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.

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 11.6001% — below the 15% mark we flag
Aim Training →
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 0.3567 — 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 23.5235% — below the 40% mark we flag

Recent matches

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