BRAXXXXXX — CS2 Stats

76561199486358586[U:1:1526092858]

856Tracked matches62%Win rate2023Tracked since

1,671Hours in CS

CSDB Rating7.2 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim93

Positioning52

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWLWLLWLWLL

Last 10 vs previous 10: -50pp win rate · -0.09 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.3

Aggression7.5

Utility5.7

Positioning5.2

Opening Duels2.6

Clutch4.2

Sharp aimerExcellent counter-strafing

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 95% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

Reaction time. 619ms 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

Aim9.3

Positioning5.2

Utility5.7

Mechanics9.1

Opening Duels2.6

Win Impact9.0

Composite 7.2/10 (Strong), 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 rating0.03+0.03

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time604ms−37ms

first ⅓ avg 641ms → last ⅓ avg 604ms

Headshot accuracy28.1%−2.1%

first ⅓ avg 30.2% → last ⅓ avg 28.1%

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

0.19Best rating — inferno 12–4

13–0Biggest win — inferno

5Longest win streak

6–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 67% over 6mirageWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	16–14	53%	0.02
cache	B	16	8–8	50%	0.03
inferno	A	14	8–6	57%	0.04
anubis	B	10	5–5	50%	-0.00
mirage	D	10	1–9	10%	-0.03
nuke	S	6	4–2	67%	0.01
ancient	A	5	3–2	60%	0.03
office	—	2	0–2	0%	0.00
vertigo	—	1	1–0	100%	0.06
poseidon	—	1	1–0	100%	0.09
overpass	—	1	0–1	0%	-0.04
stronghold	—	1	0–1	0%	-0.03
warden	—	1	0–1	0%	0.01
alpine	—	1	0–1	0%	0.03
train	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,750Lifetime kills

1.03K/D · Top 50% of tracked players

1,691Matches

39.2%Match win rate

72.4%Headshot % · Top 1% of tracked players

0.4%Shot accuracy

3,539MVPs

1,671Hours (in match)

752Bombs planted

452Bombs defused

Most-used weapons

AK-4745,343

M4A4 / M4A1-S14,777

Desert Eagle3,337

P2000 / USP-S2,781

AWP2,261

Glock-181,231

MAC-101,107

MP91,045

FAMAS875

Galil AR731

Lifetime map wins

4,182dust2

2,757inferno

1,370nuke

506train

280vertigo

31office

15cbble

3ar_shoots

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

Faceit stats

Combat

739Matches

53%Win rate

1.35Avg K/D

84.2ADR

54%Headshot %

Clutches & streaks

41%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	176	51%	1.27	18.3
Inferno	168	53%	1.31	18.1
Anubis	160	56%	1.35	18.4
Nuke	66	59%	1.48	19.7
Ancient	61	44%	1.33	18.4
Mirage	37	46%	1.21	16.8
Overpass	21	52%	1.53	19.1
Vertigo	19	42%	1.44	18.8

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.

29.2%Headshot accuracy

44.6%Accuracy (enemy spotted)

43.1%Spray accuracy

91.1%Counter-strafing

10.6°Preaim

619msReaction time

42.4%T opening success

38.7%CT opening success

0.53Enemies flashed / flash

6.1%Flash assists

8.18HE damage / grenade

14.98Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.6915% — 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.

10% win rate across 10 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
vertigo	13–5	0.06	22%	28 Aug →
ancient	5–13	0.02	15%	15 Aug →
anubis	13–10	-0.09	27%	9 Aug →
dust2	0–2	-0.17	0%	27 Jul →
mirage	2–13	-0.09	27%	19 Jul →
cache	13–7	0.06	24%	17 Jul →
inferno	9–13	-0.01	39%	17 Jul →
ancient	13–11	0.04	13%	14 Jul →
nuke	10–13	0.02	46%	14 Jul →
anubis	10–13	-0.01	27%	9 Jul →
inferno	13–3	0.04	34%	9 Jul →
dust2	13–9	0.06	32%	9 Jul →
inferno	12–4	0.19	33%	3 Jul →
nuke	13–3	0.06	21%	30 Jun →
dust2	13–8	0.06	31%	30 Jun →
dust2	8–13	0.11	26%	30 Jun →
dust2	13–11	0.08	36%	28 Jun →
mirage	6–6	-0.03	14%	28 Jun →
cache	13–3	0.08	22%	28 Jun →
cache	7–11	0.08	41%	24 Jun →
anubis	22–19	0.02	23%	21 Jun →
dust2	8–13	-0.03	28%	19 Jun →
inferno	13–16	0.04	30%	18 Jun →
inferno	13–0	0.08	32%	14 Jun →
cache	12–12	0.02	22%	14 Jun →
poseidon	9–7	0.09	23%	14 Jun →
mirage	3–13	0.03	45%	14 Jun →
dust2	13–5	0.13	27%	14 Jun →
dust2	11–13	0.07	40%	12 Jun →
anubis	13–9	0.04	33%	12 Jun →
inferno	13–1	0.01	42%	10 Jun →
overpass	11–13	-0.04	25%	10 Jun →
ancient	4–13	0.04	27%	10 Jun →
dust2	13–10	0.04	26%	9 Jun →
nuke	13–0	-0.03	60%	8 Jun →
cache	5–0	0.00	0%	8 Jun →
anubis	13–7	0.07	35%	7 Jun →
inferno	13–11	0.06	32%	7 Jun →
dust2	6–13	0.04	35%	7 Jun →
dust2	8–13	-0.08	28%	4 Jun →
nuke	0–3	-0.05	0%	4 Jun →
cache	13–10	0.05	46%	3 Jun →
dust2	13–2	0.06	32%	3 Jun →
ancient	13–8	0.03	35%	2 Jun →
mirage	6–13	-0.02	30%	2 Jun →
inferno	13–6	0.03	31%	1 Jun →
dust2	12–12	0.05	43%	1 Jun →
dust2	13–4	0.04	25%	1 Jun →
anubis	10–13	-0.04	28%	31 May →
inferno	12–12	-0.01	34%	31 May →
dust2	8–13	-0.03	38%	27 May →
dust2	13–3	0.09	39%	27 May →
cache	1–5	-0.03	50%	25 May →
dust2	12–12	0.05	28%	23 May →
dust2	9–13	0.01	47%	22 May →
inferno	9–13	-0.00	34%	21 May →
dust2	13–7	0.11	40%	21 May →
cache	13–8	-0.00	29%	21 May →
dust2	13–5	-0.06	38%	21 May →
dust2	13–10	-0.04	35%	20 May →
cache	10–13	0.08	27%	20 May →
anubis	3–6	0.03	11%	17 May →
inferno	5–13	0.11	36%	17 May →
nuke	13–9	0.06	18%	17 May →
cache	13–3	0.04	30%	16 May →
inferno	13–7	0.09	36%	15 May →
office	0–13	-0.08	25%	13 May →
office	7–13	0.09	32%	13 May →
dust2	13–8	0.03	28%	12 May →
cache	12–12	0.00	26%	11 May →
inferno	2–4	-0.06	20%	8 May →
dust2	11–13	0.02	33%	8 May →
cache	13–3	0.09	36%	8 May →
dust2	13–1	-0.00	69%	8 May →
stronghold	5–6	-0.03	31%	5 May →
warden	7–13	0.01	35%	5 May →
cache	6–13	-0.02	16%	5 May →
cache	8–13	0.09	28%	5 May →
dust2	16–14	-0.05	25%	4 May →
cache	3–13	-0.02	45%	4 May →
inferno	13–3	0.02	30%	3 May →
cache	6–13	-0.02	32%	3 May →
mirage	3–13	-0.05	35%	27 Apr →
anubis	3–7	-0.06	33%	27 Apr →
dust2	4–13	-0.08	32%	27 Apr →
mirage	12–12	-0.00	20%	25 Apr →
alpine	8–13	0.03	21%	25 Apr →
mirage	7–13	-0.03	19%	17 Apr →
mirage	6–13	-0.01	33%	16 Apr →
dust2	0–13	0.03	60%	16 Apr →
dust2	9–13	0.01	19%	16 Apr →
dust2	13–9	0.03	54%	9 Apr →
ancient	13–7	0.04	45%	9 Apr →
nuke	13–8	0.03	42%	29 Mar →
anubis	13–0	0.00	0%	28 Mar →
dust2	16–13	0.01	20%	9 Mar →
anubis	10–13	0.04	25%	27 Feb →
train	6–10	0.06	32%	24 Feb →
mirage	12–12	0.01	22%	31 Jan →
mirage	2–13	-0.07	0%	11 Jan →