Byakugan — CS2 Stats

CA76561198002448386[U:1:42182658]Steam profile ↗✓ No bans

345Tracked matches47%Win rate2023Tracked since

182Hours in CS

CSDB Rating3.8 Learning

Ladder ranks via Leetify

Performance scores

Aim40

Positioning30

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY38–60–2Last 10038%Win rateWWLLWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

Aim4.0

Aggression0.5

Utility2.9

Positioning3.0

Opening Duels0.0

Clutch0.0

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 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 689ms 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

Aim4.0

Positioning3.0

Utility2.9

Mechanics7.6

Opening Duels0.0

Win Impact3.9

Composite 3.8/10 (Learning), 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 rating-0.06−0.00

first ⅓ avg -0.05 → last ⅓ avg -0.06

Reaction time684ms−56ms

first ⅓ avg 740ms → last ⅓ avg 684ms

Headshot accuracy11.4%−0.1%

first ⅓ avg 11.5% → last ⅓ avg 11.4%

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

0.02Best rating — overpass 13–6

13–3Biggest win — nuke

5Longest win streak

W2Current streak

7–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

overpassBest map · 55% over 20trainWeakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	22	8–14	36%	-0.06
nuke	D	21	7–14	33%	-0.06
overpass	A	20	11–9	55%	-0.05
train	D	14	2–12	14%	-0.05
inferno	C	9	4–5	44%	-0.05
dust2	B	8	4–4	50%	-0.05
anubis	C	5	2–3	40%	-0.08
mirage	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Lifetime stats

4,365Lifetime kills

0.54K/D

498Matches

35.7%Match win rate

39.0%Headshot %

2.0%Shot accuracy

323MVPs

182Hours (in match)

437Bombs planted

65Bombs defused

Most-used weapons

M4A4 / M4A1-S949

AK-47859

Galil AR402

FAMAS329

SG 553246

P2000 / USP-S237

AUG218

Glock-18186

MP789

Five-SeveN87

Lifetime map wins

660nuke

529inferno

501train

499dust2

128vertigo

16italy

14stmarc

11office

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

Faceit stats

Combat

4Matches

75%Win rate

0.49Avg K/D

43.3ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	100%	0.71	5.0
Nuke	1	0%	0.25	4.0
Train	1	100%	0.39	7.0
Anubis	1	100%	0.62	10.0

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.

10.4%Headshot accuracy

30.1%Accuracy (enemy spotted)

27.0%Spray accuracy

84.1%Counter-strafing

9.3°Preaim

689msReaction time

16.4%T opening success

19.1%CT opening success

0.40Enemies flashed / flash

1.4%Flash assists

6.41HE damage / grenade

2.46Flashes / 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 10.4445% — 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 0.3991 — 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 16.3636% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–12	-0.03	4%	6 Feb →
anubis	13–11	-0.05	2%	6 Feb →
nuke	10–13	-0.06	14%	3 Feb →
anubis	3–13	-0.10	4%	3 Feb →
overpass	13–8	-0.01	5%	2 Feb →
nuke	13–3	-0.06	8%	2 Feb →
overpass	13–5	-0.06	7%	2 Feb →
ancient	13–5	-0.06	14%	2 Feb →
anubis	9–13	-0.12	11%	29 Jan →
nuke	10–13	-0.02	10%	29 Jan →
ancient	11–13	-0.08	16%	27 Jan →
overpass	11–13	-0.04	6%	27 Jan →
nuke	4–13	-0.10	16%	27 Jan →
nuke	11–13	-0.06	20%	23 Jan →
anubis	0–13	-0.09	43%	23 Jan →
overpass	13–4	0.01	10%	23 Jan →
anubis	13–8	-0.05	11%	23 Jan →
ancient	13–6	-0.09	3%	20 Jan →
dust2	13–11	-0.03	11%	20 Jan →
nuke	10–13	-0.07	9%	19 Jan →
ancient	8–13	-0.03	9%	19 Jan →
nuke	9–13	-0.09	15%	19 Jan →
overpass	13–7	0.01	12%	19 Jan →
nuke	3–13	-0.08	5%	13 Jan →
ancient	13–6	-0.03	13%	13 Jan →
inferno	5–13	-0.08	13%	13 Jan →
dust2	4–13	-0.07	5%	10 Jan →
overpass	13–6	0.02	6%	10 Jan →
overpass	13–9	-0.10	11%	10 Jan →
nuke	3–13	-0.08	11%	10 Jan →
nuke	13–7	-0.04	17%	10 Jan →
train	14–16	-0.02	20%	9 Jan →
ancient	9–13	-0.09	16%	9 Jan →
overpass	5–13	-0.11	6%	3 Jan →
train	13–9	0.01	12%	3 Jan →
inferno	13–7	-0.05	24%	31 Dec →
train	12–12	0.00	9%	31 Dec →
dust2	13–3	-0.00	14%	31 Dec →
nuke	9–13	-0.05	19%	30 Dec →
overpass	16–13	-0.06	12%	30 Dec →
ancient	9–13	-0.07	14%	30 Dec →
train	9–13	-0.02	11%	30 Dec →
train	10–13	-0.10	12%	29 Dec →
ancient	5–13	-0.12	9%	29 Dec →
nuke	13–7	-0.01	13%	29 Dec →
ancient	13–10	-0.06	14%	29 Dec →
overpass	13–9	-0.02	9%	29 Dec →
dust2	16–12	-0.05	14%	28 Dec →
ancient	13–8	-0.03	13%	28 Dec →
overpass	9–13	-0.07	9%	28 Dec →
inferno	0–13	-0.10	14%	28 Dec →
ancient	7–13	-0.09	3%	28 Dec →
nuke	13–4	-0.04	8%	21 Dec →
train	6–13	-0.06	11%	19 Dec →
ancient	7–13	-0.09	10%	19 Dec →
nuke	5–13	-0.07	13%	18 Dec →
ancient	10–13	-0.08	8%	18 Dec →
overpass	13–16	-0.06	20%	17 Dec →
train	11–13	-0.08	7%	17 Dec →
inferno	7–13	-0.02	9%	17 Dec →
inferno	16–14	-0.04	15%	16 Dec →
ancient	14–16	-0.07	8%	16 Dec →
ancient	9–13	-0.07	6%	10 Dec →
nuke	13–6	-0.01	12%	10 Dec →
nuke	13–11	-0.03	15%	10 Dec →
train	7–13	-0.08	16%	10 Dec →
overpass	9–13	-0.05	7%	10 Dec →
ancient	13–7	0.00	15%	10 Dec →
train	9–13	-0.10	0%	7 Dec →
overpass	13–10	-0.04	4%	7 Dec →
dust2	4–13	-0.11	27%	7 Dec →
dust2	5–13	-0.04	21%	4 Dec →
nuke	8–13	-0.07	22%	4 Dec →
overpass	13–3	0.02	24%	4 Dec →
overpass	13–16	-0.04	16%	23 Nov →
ancient	13–11	-0.06	10%	23 Nov →
overpass	13–11	-0.06	13%	22 Nov →
ancient	10–13	-0.06	7%	22 Nov →
train	9–13	-0.05	5%	22 Nov →
overpass	10–13	-0.08	21%	19 Nov →
inferno	2–13	-0.07	25%	19 Nov →
mirage	5–13	-0.06	8%	19 Nov →
dust2	12–12	-0.05	8%	19 Nov →
train	10–13	-0.08	12%	15 Nov →
nuke	5–13	-0.09	13%	15 Nov →
ancient	9–13	-0.03	10%	11 Nov →
train	2–0	-0.02	0%	11 Nov →
overpass	9–13	-0.10	10%	11 Nov →
nuke	11–13	-0.07	7%	11 Nov →
train	8–13	-0.01	6%	10 Nov →
ancient	13–10	-0.10	9%	10 Nov →
overpass	7–13	-0.08	5%	6 Nov →
ancient	11–13	-0.05	6%	6 Nov →
inferno	13–10	-0.05	9%	6 Nov →
nuke	3–13	-0.07	8%	6 Nov →
inferno	9–13	-0.02	13%	6 Nov →
train	9–13	-0.04	11%	6 Nov →
nuke	13–4	0.01	12%	18 Oct →
ancient	7–13	-0.06	19%	18 Oct →
inferno	13–8	-0.03	5%	18 Oct →