BRACE — CS2 Stats

AU76561198086803740[U:1:126538012]Steam profile ↗✓ No bans

3,564Tracked matches43%Win rate2020Tracked since

44,535Hours in CS

CSDB Rating6.9 SolidAggressive Rifler

FaceitLevel 10 · 2,799 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	58.6%	52.8%
Shot accuracy	19.8%	13.7%
Kill/death ratio	0.93	1.08
Match win rate	47.2%	49.2%

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Performance scores

Aim89

Positioning63

Utility72

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateWLLLLWLLTW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.9

Aggression7.7

Utility7.2

Positioning6.3

Opening Duels3.3

Clutch4.4

Sharp aimerStrong CT-side openerEffective flashes

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-duel success, opening-fight frequency.

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 89 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 34% 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

Aim8.9

Positioning6.3

Utility7.2

Mechanics7.5

Opening Duels3.3

Win Impact2.6

Composite 6.9/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time537ms−64ms

first ⅓ avg 600ms → last ⅓ avg 537ms

Headshot accuracy25.8%−2.9%

first ⅓ avg 28.7% → last ⅓ avg 25.8%

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 — dust2 13–8

13–0Biggest win — mirage

7Longest win streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 56% over 25infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	14–11	56%	0.00
dust2	B	18	9–9	50%	0.02
nuke	B	14	7–7	50%	0.00
inferno	D	13	4–9	31%	0.01
anubis	D	9	3–6	33%	-0.00
overpass	A	9	5–4	56%	-0.00
cache	C	8	3–5	38%	0.00
ancient	—	3	1–2	33%	0.04
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

591,963Lifetime kills

0.93K/D

13,841Matches

47.2%Match win rate

58.6%Headshot % · Top 50% of Level 10 players

19.8%Shot accuracy · Top 5% of Level 10 players

44,730MVPs

44,535Hours (in match)

20,644Bombs planted

6,530Bombs defused

Most-used weapons

AK-47274,204

M4A4 / M4A1-S96,390

AWP51,391

P2000 / USP-S40,521

Desert Eagle26,792

Glock-1817,364

P25014,932

Knife11,584

FAMAS6,271

SG 5536,261

Lifetime map wins

37,334inferno

32,133dust2

16,784nuke

9,837vertigo

8,758train

6,058cbble

116lake

77office

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

Faceit stats

Combat

5,562Matches

55%Win rate

1.13Avg K/D

80.2ADR

51%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	370	57%	1.22	16.4
Dust2	199	56%	1.19	17.1
Anubis	177	55%	1.18	16.6
Inferno	171	61%	1.19	16.1
Nuke	112	52%	1.09	14.5
Overpass	69	65%	1.23	15.5
Vertigo	65	58%	1.13	15.4
Ancient	58	45%	1.14	16.7

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.

25.9%Headshot accuracy

35.7%Accuracy (enemy spotted)

37.3%Spray accuracy

83.9%Counter-strafing

7.5°Preaim

531msReaction time

33.7%T opening success

52.5%CT opening success

0.72Enemies flashed / flash

13.9%Flash assists

10.84HE damage / grenade

15.77Flashes / 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
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 33.7146% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	0.01	41%	28 Aug →
mirage	9–13	0.03	40%	27 Aug →
inferno	2–13	-0.06	23%	26 Aug →
anubis	4–13	-0.02	28%	26 Aug →
dust2	6–13	0.01	29%	25 Aug →
dust2	13–11	0.06	31%	24 Aug →
ancient	6–13	0.04	33%	24 Aug →
anubis	9–13	-0.05	23%	22 Aug →
dust2	15–15	0.03	36%	16 Aug →
mirage	13–0	0.10	45%	16 Aug →
mirage	11–13	-0.05	36%	4 Aug →
mirage	13–9	0.10	19%	13 Jul →
cache	10–13	-0.01	25%	10 Jul →
dust2	7–13	-0.05	30%	8 Jul →
cache	11–13	-0.05	18%	8 Jul →
nuke	12–16	0.01	8%	8 Jul →
anubis	13–6	0.09	27%	8 Jul →
cache	12–12	0.04	32%	8 Jul →
anubis	3–13	-0.02	35%	7 Jul →
mirage	5–13	-0.05	12%	7 Jul →
cache	9–13	-0.00	13%	7 Jul →
dust2	10–13	0.05	19%	7 Jul →
mirage	9–13	-0.06	23%	7 Jul →
inferno	13–11	0.06	22%	3 Jul →
dust2	13–8	0.13	28%	3 Jul →
mirage	19–17	0.00	26%	19 Jun →
overpass	13–10	0.03	20%	19 Jun →
mirage	19–17	0.01	22%	19 Jun →
dust2	13–11	0.02	26%	18 Jun →
ancient	25–22	0.00	23%	17 Jun →
inferno	5–13	-0.02	23%	16 Jun →
anubis	16–13	0.03	19%	16 Jun →
overpass	4–13	-0.08	15%	16 Jun →
dust2	13–7	-0.00	33%	16 Jun →
mirage	13–10	0.02	21%	16 Jun →
nuke	4–13	-0.07	38%	15 Jun →
inferno	7–13	0.01	41%	12 Jun →
mirage	13–8	-0.04	20%	12 Jun →
overpass	13–6	0.03	27%	12 Jun →
inferno	7–13	-0.01	23%	12 Jun →
overpass	13–11	0.04	18%	10 Jun →
dust2	1–13	-0.06	43%	10 Jun →
anubis	10–13	-0.02	36%	10 Jun →
dust2	13–6	0.03	24%	9 Jun →
inferno	13–7	0.01	35%	9 Jun →
anubis	10–13	-0.02	21%	8 Jun →
mirage	2–13	-0.08	25%	8 Jun →
dust2	13–5	0.09	41%	4 Jun →
mirage	13–5	0.04	30%	4 Jun →
mirage	13–6	0.03	15%	1 Jun →
overpass	13–7	0.01	22%	18 May →
mirage	10–13	0.02	16%	14 May →
inferno	9–13	0.05	28%	12 May →
cache	12–12	-0.04	18%	8 May →
nuke	13–8	0.03	23%	30 Apr →
dust2	10–13	0.00	17%	30 Apr →
inferno	6–13	-0.05	29%	30 Apr →
cache	16–14	0.02	30%	30 Apr →
cache	13–5	0.03	23%	29 Apr →
mirage	3–13	-0.07	23%	29 Apr →
nuke	5–13	0.01	26%	29 Apr →
cache	13–6	0.02	34%	29 Apr →
mirage	13–3	0.10	35%	27 Apr →
mirage	17–19	0.00	19%	24 Apr →
overpass	4–13	-0.02	29%	23 Apr →
inferno	6–13	0.09	35%	22 Apr →
nuke	13–10	0.02	39%	22 Apr →
dust2	13–11	-0.02	17%	21 Apr →
ancient	7–13	0.08	26%	21 Apr →
nuke	13–10	-0.02	35%	20 Apr →
anubis	13–7	-0.02	31%	18 Apr →
dust2	11–13	0.03	26%	10 Apr →
nuke	18–22	0.03	18%	6 Apr →
mirage	5–13	-0.06	35%	6 Apr →
dust2	13–7	0.04	37%	6 Apr →
nuke	2–13	-0.09	56%	5 Apr →
inferno	16–13	-0.01	33%	5 Apr →
overpass	10–13	0.03	30%	5 Apr →
mirage	7–13	-0.02	35%	1 Apr →
inferno	13–8	0.02	33%	30 Mar →
nuke	9–13	0.00	31%	24 Mar →
inferno	11–13	-0.04	26%	24 Mar →
nuke	13–9	0.02	26%	23 Mar →
mirage	13–9	-0.01	30%	23 Mar →
mirage	13–7	-0.08	12%	22 Mar →
nuke	13–4	0.01	40%	22 Mar →
dust2	17–19	-0.04	16%	21 Mar →
anubis	2–13	-0.01	28%	21 Mar →
mirage	4–13	-0.01	21%	18 Mar →
dust2	11–13	0.00	18%	18 Mar →
mirage	13–8	0.10	26%	11 Mar →
nuke	13–7	0.08	50%	9 Mar →
mirage	13–9	0.07	39%	4 Mar →
overpass	13–5	-0.04	15%	3 Mar →
inferno	13–16	0.04	32%	3 Mar →
mirage	13–11	-0.00	15%	27 Nov →
train	10–13	0.00	21%	25 Nov →
nuke	10–13	0.03	34%	25 Nov →
overpass	1–13	-0.01	20%	25 Nov →
dust2	13–8	-0.02	35%	25 Nov →