B4ndy — CS2 Stats

76561199032623245[U:1:1072357517]

538Tracked matches47%Win rate2022Tracked since

CSDB Rating4.0 Developing

Premier CS Rating9,500Light Blue band · top ~57.3% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning39

Utility47

0–100 skill scores via Leetify.

Recent form

HOT36–58–6Last 10036%Win rateWWWWLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating

Player DNA

Aim4.8

Aggression4.0

Utility4.7

Positioning3.9

Opening Duels1.2

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 NiKo 80% playstyle similarity

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

Where you differ: lower positioning profile; 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. 625ms 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

Aim4.8

Positioning3.9

Utility4.7

Mechanics6.4

Opening Duels1.2

Win Impact3.9

Composite 4.0/10 (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-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time609ms−10ms

first ⅓ avg 619ms → last ⅓ avg 609ms

Headshot accuracy14.4%+0.5%

first ⅓ avg 13.8% → last ⅓ avg 14.4%

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

0.13Best rating — mirage 13–4

13–3Biggest win — inferno

4Longest win streak

W4Current streak

6–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 47% over 15cacheWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	18	7–11	39%	-0.04
inferno	B	15	7–8	47%	-0.02
anubis	C	15	6–9	40%	-0.03
nuke	C	13	5–8	38%	-0.04
cache	D	10	2–8	20%	-0.02
mirage	D	9	3–6	33%	0.00
overpass	D	7	2–5	29%	-0.04
dust2	—	4	1–3	25%	-0.05
boulder	—	3	1–2	33%	-0.02
italy	—	2	1–1	50%	-0.05
shelter	—	2	1–1	50%	-0.06
debris	—	1	0–1	0%	-0.08
fachwerk	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

29Matches

48%Win rate

0.79Avg K/D

66.3ADR

41%Headshot %

Clutches & streaks

33%1v1 clutch win

21%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	7	57%	0.69	13.7
Anubis	6	67%	1.41	15.7
Cache	5	40%	0.69	9.0
Mirage	4	50%	0.68	10.3
Inferno	2	50%	0.73	12.0
Dust2	2	50%	0.55	8.0
Nuke	1	0%	0.53	9.0

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

31.1%Accuracy (enemy spotted)

29.5%Spray accuracy

78.7%Counter-strafing

10.3°Preaim

625msReaction time

31.8%T opening success

37.7%CT opening success

0.57Enemies flashed / flash

2.6%Flash assists

11.44HE damage / grenade

3.94Flashes / 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 14.7684% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9428 — below the 4 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 31.8166% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

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