Beans — CS2 Stats

76561197982985253[U:1:22719525]✓ No bans

642Tracked matches46%Win rate2021Tracked since

CSDB Rating4.9 Developing

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim48

Positioning62

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWLLWWTWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim4.8

Aggression7.5

Utility6.1

Positioning6.2

Opening Duels3.3

Clutch2.6

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 b1t 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 572ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8

Positioning6.2

Utility6.1

Mechanics4.2

Opening Duels3.3

Win Impact3.8

Composite 4.9/10 (Developing), 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+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time571ms−52ms

first ⅓ avg 623ms → last ⅓ avg 571ms

Headshot accuracy15.1%+1.3%

first ⅓ avg 13.8% → last ⅓ avg 15.1%

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

0.11Best rating — nuke 13–3

13–2Biggest win — inferno

3Longest win streak

6–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 50% over 16mirageWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	19	7–12	37%	-0.01
ancient	C	17	7–10	41%	-0.02
inferno	B	16	8–8	50%	0.01
anubis	B	12	6–6	50%	-0.00
mirage	D	9	2–7	22%	-0.03
cache	B	8	4–4	50%	0.01
overpass	B	8	4–4	50%	0.03
dust2	B	8	4–4	50%	-0.01
vertigo	—	1	0–1	0%	-0.10
office	—	1	0–1	0%	-0.02
poseidon	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches

42%Win rate

0.90Avg K/D

70.1ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

31%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	6	67%	0.80	14.3
Inferno	5	20%	0.97	14.4
Dust2	3	0%	0.87	22.7
Nuke	2	50%	0.92	15.0
Ancient	2	50%	0.90	12.0
Mirage	2	50%	0.91	13.0
Cache	2	0%	0.83	16.0
Overpass	1	0%	0.53	8.0

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.

14.8%Headshot accuracy

32.7%Accuracy (enemy spotted)

34.2%Spray accuracy

69.1%Counter-strafing

11.5°Preaim

572msReaction time

38.5%T opening success

47.7%CT opening success

0.56Enemies flashed / flash

5.2%Flash assists

11.83HE damage / grenade

8.17Flashes / 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 14.7984% — below the 15% mark we flag
Aim Training →
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 38.5201% — 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

Map	Score	Rating	HS%	Date
cache	13–7	0.08	29%	2 Aug →
mirage	12–16	-0.01	16%	21 Jul →
anubis	9–13	0.00	18%	18 Jul →
ancient	13–6	-0.04	13%	15 Jul →
cache	13–7	0.01	11%	11 Jul →
nuke	15–15	-0.03	9%	6 Jul →
nuke	13–3	0.11	27%	4 Jul →
ancient	12–16	-0.03	9%	2 Jul →
overpass	11–13	0.01	17%	2 Jul →
inferno	13–2	0.09	20%	1 Jul →
anubis	4–13	-0.01	8%	1 Jul →
inferno	13–4	0.05	13%	28 Jun →
ancient	10–13	-0.00	12%	27 Jun →
overpass	13–7	0.07	9%	27 Jun →
ancient	7–13	-0.04	10%	24 Jun →
inferno	9–13	-0.04	29%	20 Jun →
ancient	3–13	-0.03	16%	11 Jun →
anubis	13–6	-0.05	12%	10 Jun →
dust2	7–13	-0.06	18%	10 Jun →
inferno	13–10	0.08	20%	6 Jun →
vertigo	8–13	-0.10	8%	5 Jun →
nuke	15–15	0.02	7%	2 Jun →
mirage	13–8	0.00	24%	28 May →
cache	9–13	0.03	7%	25 May →
cache	9–4	0.06	19%	25 May →
ancient	13–5	0.06	16%	25 May →
dust2	13–9	0.07	19%	25 May →
nuke	6–13	-0.09	11%	24 May →
ancient	14–16	0.03	12%	24 May →
overpass	9–13	-0.03	17%	24 May →
nuke	13–3	0.05	17%	23 May →
anubis	13–6	0.03	11%	23 May →
anubis	15–15	-0.03	15%	22 May →
mirage	13–16	-0.08	8%	21 May →
ancient	11–13	-0.07	7%	20 May →
dust2	13–4	-0.01	15%	18 May →
anubis	6–13	0.01	11%	18 May →
nuke	10–13	-0.04	12%	18 May →
inferno	8–13	0.01	17%	18 May →
nuke	6–13	-0.05	15%	18 May →
office	12–12	-0.02	11%	17 May →
anubis	7–13	0.03	3%	14 May →
ancient	13–16	0.01	18%	13 May →
poseidon	9–7	0.02	18%	13 May →
inferno	7–13	-0.02	14%	12 May →
anubis	13–9	0.02	14%	12 May →
nuke	13–9	0.02	23%	12 May →
nuke	7–13	0.06	16%	11 May →
inferno	13–5	-0.02	12%	10 May →
anubis	13–10	0.00	14%	10 May →
cache	12–12	-0.02	6%	10 May →
overpass	16–14	-0.01	14%	10 May →
nuke	13–8	-0.02	18%	9 May →
mirage	4–13	-0.09	4%	9 May →
dust2	12–16	-0.03	13%	9 May →
ancient	13–11	-0.05	7%	9 May →
anubis	7–13	-0.10	8%	9 May →
cache	13–9	0.03	25%	8 May →
cache	2–13	-0.05	6%	8 May →
cache	0–13	-0.03	15%	8 May →
nuke	13–5	0.05	11%	7 May →
mirage	10–13	0.05	11%	26 Apr →
dust2	10–13	-0.02	21%	26 Apr →
mirage	11–13	-0.03	14%	25 Apr →
inferno	8–13	0.00	16%	25 Apr →
nuke	13–7	0.01	12%	24 Apr →
inferno	13–16	0.00	25%	23 Apr →
ancient	13–11	0.03	12%	23 Apr →
overpass	13–11	0.02	12%	22 Apr →
inferno	5–13	-0.04	14%	22 Apr →
overpass	13–2	0.04	13%	22 Apr →
inferno	13–9	-0.05	11%	22 Apr →
dust2	13–10	-0.01	19%	21 Apr →
inferno	4–13	-0.01	19%	21 Apr →
ancient	13–7	-0.01	8%	21 Apr →
nuke	8–13	-0.03	6%	20 Apr →
ancient	9–13	-0.04	16%	20 Apr →
mirage	11–13	0.02	11%	20 Apr →
inferno	13–8	-0.02	12%	20 Apr →
ancient	13–10	-0.08	11%	19 Apr →
overpass	9–13	0.07	21%	19 Apr →
dust2	13–16	-0.01	6%	19 Apr →
ancient	11–13	-0.03	17%	19 Apr →
dust2	16–14	0.04	11%	18 Apr →
inferno	9–5	0.08	14%	18 Apr →
nuke	14–16	-0.06	12%	17 Apr →
anubis	13–7	0.03	18%	17 Apr →
mirage	13–6	0.01	18%	17 Apr →
mirage	6–13	-0.09	12%	16 Apr →
nuke	11–13	-0.02	18%	16 Apr →
inferno	11–13	0.00	15%	15 Apr →
nuke	6–13	-0.04	16%	15 Apr →
nuke	13–7	-0.02	18%	14 Apr →
inferno	13–8	0.02	7%	14 Apr →
ancient	10–13	-0.01	16%	14 Apr →
nuke	3–13	-0.06	6%	13 Apr →
nuke	5–13	-0.03	22%	13 Apr →
ancient	13–10	-0.00	13%	13 Apr →
anubis	13–4	0.01	11%	12 Apr →
overpass	10–13	0.07	20%	12 Apr →