bcj132 — CS2 Stats

76561198070292434[U:1:110026706]Steam profile ↗✓ No bans

506Tracked matches66%Win rate2021Tracked since

CSDB Rating5.6 SolidClutch Specialist

Premier CS Rating20,462Pink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#7717 of 18865 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning49

Utility51

0–100 skill scores via Leetify.

Recent form

HOT57–39–4Last 10057%Win rateWWWWWWWLLL

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

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

Aim6.2

Aggression4.8

Utility5.1

Positioning4.9

Opening Duels1.4

Clutch8.4

Strong CT-side openerReliable 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 88% playstyle similarity

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

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 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.2

Positioning4.9

Utility5.1

Mechanics4.5

Opening Duels2.0

Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time540ms−32ms

first ⅓ avg 572ms → last ⅓ avg 540ms

Headshot accuracy13.4%−2.0%

first ⅓ avg 15.4% → last ⅓ avg 13.4%

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

0.32Best rating — italy 13–6

13–1Biggest win — cache

7Longest win streak

W7Current streak

2–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 67% over 18anubisWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	20	12–8	60%	0.04
dust2	B	19	10–9	53%	0.02
inferno	S	18	12–6	67%	0.02
ancient	A	15	9–6	60%	0.03
mirage	B	13	6–7	46%	0.01
anubis	B	11	5–6	45%	0.01
nuke	—	2	1–1	50%	-0.06
italy	—	1	1–0	100%	0.32
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

55Matches

56%Win rate

1.10Avg K/D

82.6ADR

36%Headshot %

Clutches & streaks

62%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	7	43%	1.19	17.0
Mirage	6	83%	1.13	13.5
Nuke	5	20%	1.05	13.0
Dust2	5	60%	1.13	15.0
Cache	5	100%	1.85	22.4
Anubis	5	60%	1.37	14.0
Inferno	3	100%	0.92	11.3
Vertigo	3	67%	1.18	17.7

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.

12.8%Headshot accuracy

33.9%Accuracy (enemy spotted)

36.5%Spray accuracy

70.5%Counter-strafing

8.8°Preaim

537msReaction time

25.6%T opening success

45.9%CT opening success

0.43Enemies flashed / flash

4.4%Flash assists

9.68HE damage / grenade

14.06Flashes / 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 12.7804% — 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 0.4257 — 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 25.6409% — below the 40% mark we flag

Spend your practice time on Anubis

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	-0.05	15%	27 Aug →
ancient	13–6	0.02	15%	26 Aug →
mirage	13–7	0.06	7%	25 Aug →
dust2	13–9	0.13	6%	25 Aug →
mirage	13–5	-0.01	24%	23 Aug →
cache	13–9	0.01	28%	23 Aug →
anubis	13–5	0.02	9%	22 Aug →
nuke	3–13	-0.07	13%	22 Aug →
cache	9–13	0.00	10%	19 Aug →
dust2	9–13	-0.04	5%	19 Aug →
ancient	11–13	-0.00	11%	19 Aug →
anubis	8–13	-0.01	14%	17 Aug →
inferno	13–9	0.14	17%	17 Aug →
dust2	10–13	0.05	9%	17 Aug →
ancient	13–2	0.17	15%	17 Aug →
dust2	13–10	-0.03	6%	16 Aug →
anubis	13–8	0.08	11%	16 Aug →
cache	12–12	0.03	12%	16 Aug →
cache	10–2	0.10	5%	16 Aug →
dust2	10–13	-0.07	7%	15 Aug →
inferno	13–8	0.01	7%	15 Aug →
cache	13–4	0.00	14%	15 Aug →
ancient	13–6	0.12	14%	15 Aug →
anubis	6–13	0.00	11%	15 Aug →
mirage	13–9	-0.04	19%	15 Aug →
dust2	13–8	0.09	11%	14 Aug →
inferno	13–2	-0.02	10%	14 Aug →
mirage	3–13	0.02	23%	14 Aug →
dust2	13–8	0.01	18%	14 Aug →
cache	5–13	0.01	23%	13 Aug →
anubis	4–13	-0.02	28%	13 Aug →
inferno	11–13	0.02	17%	12 Aug →
cache	13–9	-0.04	10%	12 Aug →
inferno	13–10	0.07	13%	12 Aug →
dust2	13–3	0.03	17%	12 Aug →
inferno	8–13	-0.00	12%	11 Aug →
ancient	13–7	0.06	11%	11 Aug →
mirage	5–13	-0.04	16%	11 Aug →
cache	13–5	0.08	13%	10 Aug →
cache	11–13	0.06	10%	10 Aug →
inferno	13–10	0.06	7%	10 Aug →
dust2	10–13	0.09	16%	10 Aug →
ancient	13–11	-0.02	8%	9 Aug →
inferno	15–15	0.04	13%	9 Aug →
dust2	13–8	0.03	19%	9 Aug →
anubis	13–10	-0.02	6%	9 Aug →
mirage	7–13	-0.08	8%	9 Aug →
mirage	5–13	-0.05	20%	8 Aug →
anubis	5–13	-0.04	12%	8 Aug →
ancient	13–10	0.13	17%	8 Aug →
nuke	13–8	-0.04	15%	8 Aug →
dust2	13–8	0.05	20%	8 Aug →
inferno	13–3	0.00	7%	8 Aug →
dust2	7–13	0.03	15%	8 Aug →
mirage	13–9	0.22	17%	7 Aug →
inferno	13–4	0.08	18%	7 Aug →
dust2	11–13	0.08	13%	7 Aug →
ancient	8–13	-0.03	6%	6 Aug →
cache	13–8	0.13	19%	4 Aug →
ancient	13–9	0.04	13%	3 Aug →
mirage	12–12	0.04	21%	3 Aug →
inferno	5–13	0.00	23%	3 Aug →
ancient	11–13	0.03	14%	3 Aug →
inferno	13–9	-0.01	16%	3 Aug →
cache	5–13	0.05	5%	3 Aug →
italy	13–6	0.32	18%	3 Aug →
inferno	13–7	0.05	21%	2 Aug →
inferno	4–13	-0.09	3%	2 Aug →
dust2	6–13	-0.05	24%	2 Aug →
ancient	10–5	-0.02	13%	2 Aug →
cache	13–8	0.05	14%	2 Aug →
dust2	3–13	-0.01	9%	2 Aug →
ancient	11–13	-0.03	24%	2 Aug →
dust2	13–9	-0.02	32%	2 Aug →
mirage	9–13	-0.06	14%	2 Aug →
cache	13–10	0.05	10%	1 Aug →
vertigo	13–8	-0.02	11%	1 Aug →
inferno	10–13	0.05	14%	1 Aug →
dust2	13–4	0.05	25%	1 Aug →
mirage	13–5	0.03	7%	1 Aug →
anubis	13–9	-0.03	14%	30 Jul →
mirage	13–11	0.08	17%	30 Jul →
dust2	13–9	0.05	13%	30 Jul →
cache	13–1	0.06	15%	30 Jul →
inferno	13–2	0.01	36%	29 Jul →
ancient	12–12	0.00	13%	29 Jul →
mirage	10–13	-0.00	12%	27 Jul →
cache	14–16	0.03	16%	27 Jul →
ancient	7–13	-0.04	19%	26 Jul →
inferno	13–8	0.02	19%	26 Jul →
cache	8–13	-0.03	9%	26 Jul →
cache	13–5	0.04	3%	26 Jul →
dust2	11–13	-0.06	14%	26 Jul →
anubis	7–13	-0.00	13%	26 Jul →
anubis	5–13	-0.01	13%	25 Jul →
ancient	12–5	-0.04	16%	25 Jul →
cache	8–13	-0.00	21%	25 Jul →
cache	13–6	0.04	17%	23 Jul →
anubis	13–3	0.08	17%	23 Jul →
cache	13–9	0.04	11%	22 Jul →