BrianU — CS2 Stats

76561197960299647[U:1:33919]✓ No bans

1,633Tracked matches47%Win rate2022Tracked since

CSDB Rating5.6 SolidHybrid Rifler

FaceitLevel 7 · 1,686 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78

Positioning48

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWLWWLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.8

Aggression4.7

Utility5.8

Positioning4.8

Opening Duels2.1

Clutch2.8

Strong CT-side openerEffective flashesLimited utility dependence

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 93% 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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim7.8

Positioning4.8

Utility5.8

Mechanics6.7

Opening Duels2.8

Win Impact3.9

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time624ms+0ms

first ⅓ avg 623ms → last ⅓ avg 624ms

Headshot accuracy25.0%+0.4%

first ⅓ avg 24.6% → last ⅓ avg 25.0%

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

0.08Best rating — dust2 13–10

13–2Biggest win — inferno

7Longest win streak

12–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 67% over 24ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	38	24–14	63%	-0.02
inferno	S	24	16–8	67%	-0.00
nuke	B	19	9–10	47%	-0.02
mirage	S	6	4–2	67%	-0.03
ancient	D	6	1–5	17%	-0.04
cache	B	6	3–3	50%	-0.03
overpass	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,221Matches

49%Win rate

0.85Avg K/D

64.1ADR

58%Headshot %

Clutches & streaks

34%1v1 clutch win

14%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	337	51%	0.87	13.2
Ancient	246	43%	0.81	13.3
Nuke	238	55%	0.89	12.8
Inferno	214	50%	0.91	12.8
Mirage	102	44%	0.79	12.4
Anubis	25	20%	0.75	12.2
Overpass	12	33%	0.66	11.1
Vertigo	11	64%	0.74	12.3

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.

24.5%Headshot accuracy

34.7%Accuracy (enemy spotted)

39.8%Spray accuracy

80.1%Counter-strafing

9.6°Preaim

612msReaction time

25.2%T opening success

52.0%CT opening success

0.85Enemies flashed / flash

7.0%Flash assists

7.14HE damage / grenade

4.33Flashes / 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 25.1758% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	-0.03	13%	27 Aug →
dust2	8–13	0.01	41%	26 Aug →
nuke	13–8	-0.00	33%	26 Aug →
inferno	13–3	0.06	33%	24 Aug →
dust2	7–13	-0.03	34%	23 Aug →
nuke	10–13	-0.02	24%	23 Aug →
dust2	13–11	0.03	24%	23 Aug →
ancient	14–16	0.03	23%	22 Aug →
dust2	13–8	-0.03	29%	22 Aug →
mirage	2–13	-0.03	26%	21 Aug →
dust2	6–13	-0.07	24%	21 Aug →
dust2	17–19	-0.00	22%	21 Aug →
inferno	9–13	0.01	28%	16 Aug →
mirage	13–10	-0.01	12%	15 Aug →
nuke	13–7	0.02	22%	15 Aug →
ancient	4–13	-0.00	18%	12 Aug →
dust2	11–13	-0.09	20%	10 Aug →
nuke	10–13	-0.02	16%	10 Aug →
dust2	13–9	-0.02	47%	8 Aug →
nuke	11–13	-0.09	12%	7 Aug →
cache	13–9	0.00	34%	7 Aug →
dust2	7–13	-0.06	22%	7 Aug →
mirage	13–9	0.00	16%	6 Aug →
inferno	13–6	-0.03	22%	5 Aug →
inferno	13–11	0.01	25%	5 Aug →
nuke	17–19	-0.02	31%	4 Aug →
dust2	13–11	-0.02	23%	4 Aug →
inferno	10–13	-0.00	19%	2 Aug →
dust2	7–13	-0.01	19%	31 Jul →
inferno	13–5	0.03	27%	31 Jul →
nuke	13–9	0.03	32%	31 Jul →
inferno	13–9	0.05	21%	30 Jul →
inferno	13–7	0.03	34%	29 Jul →
mirage	13–10	-0.06	27%	29 Jul →
nuke	13–9	-0.08	21%	26 Jul →
dust2	16–12	0.01	36%	26 Jul →
cache	11–13	-0.07	33%	26 Jul →
inferno	13–11	-0.01	16%	26 Jul →
dust2	6–13	0.03	36%	25 Jul →
dust2	14–16	-0.06	21%	25 Jul →
dust2	10–13	-0.03	17%	25 Jul →
dust2	13–9	-0.00	25%	24 Jul →
dust2	13–9	0.04	28%	24 Jul →
inferno	13–9	-0.02	17%	24 Jul →
dust2	13–11	0.00	26%	23 Jul →
ancient	8–13	-0.06	32%	21 Jul →
inferno	13–10	-0.05	18%	17 Jul →
dust2	8–13	-0.05	23%	15 Jul →
dust2	13–10	-0.02	23%	14 Jul →
inferno	13–10	0.01	24%	13 Jul →
inferno	10–13	0.06	47%	12 Jul →
nuke	9–13	-0.05	22%	12 Jul →
dust2	19–15	-0.05	20%	11 Jul →
dust2	13–10	0.08	36%	11 Jul →
inferno	11–13	-0.05	29%	11 Jul →
nuke	16–14	-0.01	16%	11 Jul →
nuke	4–13	-0.05	12%	11 Jul →
inferno	13–2	0.03	16%	11 Jul →
nuke	19–16	-0.06	26%	10 Jul →
dust2	10–13	-0.06	21%	4 Jul →
mirage	9–13	-0.04	21%	4 Jul →
inferno	13–11	-0.03	21%	4 Jul →
nuke	11–13	0.02	15%	4 Jul →
dust2	13–11	0.01	13%	2 Jul →
nuke	22–25	0.03	36%	28 Jun →
nuke	13–9	0.04	25%	28 Jun →
dust2	16–13	-0.01	23%	25 Jun →
overpass	13–7	-0.01	25%	19 Jun →
inferno	5–13	-0.04	36%	16 Jun →
dust2	10–13	-0.06	30%	16 Jun →
dust2	13–6	-0.05	32%	6 Jun →
ancient	13–11	-0.03	19%	1 Jun →
ancient	2–13	-0.10	25%	1 Jun →
dust2	16–14	0.02	28%	30 May →
inferno	10–13	-0.04	18%	30 May →
nuke	13–8	-0.06	27%	29 May →
dust2	13–5	-0.03	27%	28 May →
nuke	16–13	-0.01	30%	27 May →
inferno	13–10	-0.03	17%	27 May →
cache	13–9	-0.01	34%	27 May →
nuke	10–13	-0.03	27%	19 May →
dust2	13–11	-0.06	27%	19 May →
dust2	13–10	-0.01	28%	19 May →
dust2	13–8	-0.04	35%	15 May →
inferno	13–4	0.02	29%	13 May →
dust2	13–8	0.01	38%	13 May →
inferno	10–13	-0.03	22%	12 May →
cache	5–13	-0.05	18%	12 May →
dust2	13–4	0.06	18%	11 May →
nuke	11–13	-0.02	19%	9 May →
ancient	5–13	-0.05	35%	9 May →
dust2	13–10	-0.03	21%	9 May →
dust2	13–11	-0.01	21%	8 May →
dust2	13–8	0.04	13%	8 May →
inferno	13–5	-0.03	18%	6 May →
dust2	14–16	-0.02	24%	6 May →
cache	13–3	0.00	15%	1 May →
cache	10–13	-0.06	18%	29 Apr →
inferno	13–9	0.01	23%	29 Apr →
inferno	9–13	-0.05	13%	27 Apr →