Brillzki — CS2 Stats

SE76561198048917855[U:1:88652127]Steam profile ↗✓ No bans

2,779Tracked matches57%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating21,603Pink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#6208 of 17884 tracked

FaceitLevel 10 · 3,749 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning61

Utility76

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWWLWLLLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.5

Aggression7.9

Utility7.6

Positioning6.1

Opening Duels3.9

Clutch3.8

Strong CT-side openerEffective flashesHigh utility contribution

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 jL 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 31% 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

Aim7.5

Positioning6.1

Utility7.6

Mechanics6.3

Opening Duels3.9

Win Impact7.2

Composite 6.8/10 (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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time530ms−3ms

first ⅓ avg 534ms → last ⅓ avg 530ms

Headshot accuracy22.2%+2.6%

first ⅓ avg 19.6% → last ⅓ avg 22.2%

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 — ancient 13–1

13–1Biggest win — ancient

6Longest win streak

W2Current streak

3–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 55% over 22nukeWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	11–14	44%	-0.01
ancient	A	22	12–10	55%	0.00
nuke	C	17	7–10	41%	0.00
inferno	A	11	6–5	55%	0.00
overpass	B	11	5–6	45%	-0.00
anubis	B	6	3–3	50%	-0.02
dust2	—	4	0–4	0%	-0.04
train	—	3	0–3	0%	-0.08
cache	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,095Matches

54%Win rate

1.18Avg K/D

77.3ADR

51%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	461	58%	1.18	15.4
Mirage	416	50%	1.12	15.0
Anubis	244	59%	1.17	15.4
Nuke	128	53%	1.09	15.3
Dust2	98	57%	1.05	14.2
Overpass	74	66%	1.32	15.8
Inferno	70	64%	1.37	15.4
Vertigo	54	57%	1.20	15.1

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.

21.7%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.5%Spray accuracy

78.4%Counter-strafing

10.1°Preaim

530msReaction time

30.8%T opening success

60.2%CT opening success

0.71Enemies flashed / flash

7.4%Flash assists

10.19HE damage / grenade

14.69Flashes / 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 30.8373% — below the 40% mark we flag

Spend your practice time on Nuke

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

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