HoboBrian — CS2 Stats

76561199088565555[U:1:1128299827]Steam profile ↗✓ No bans

706Tracked matches41%Win rate2022Tracked since

805Hours in CS30Hrs last 2 wks

CSDB Rating4.9 Developing

Ladder ranks via Leetify

Performance scores

Aim53

Positioning57

Utility59

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLLTLLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim5.3

Aggression6.2

Utility5.9

Positioning5.7

Opening Duels2.8

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 Twistzz 88% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim5.3

Positioning5.7

Utility5.9

Mechanics5.3

Opening Duels2.8

Win Impact2.1

Composite 4.9/10 (Developing), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time594ms−51ms

first ⅓ avg 645ms → last ⅓ avg 594ms

Headshot accuracy16.2%−0.7%

first ⅓ avg 16.9% → last ⅓ avg 16.2%

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

0.27Best rating — overpass 13–3

13–3Biggest win — overpass

4Longest win streak

L2Current streak

10–2In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 56% over 9infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	18–20	47%	0.01
inferno	C	14	5–9	36%	0.02
cache	C	9	4–5	44%	0.04
mirage	A	9	5–4	56%	0.01
nuke	C	9	4–5	44%	0.04
ancient	B	8	4–4	50%	0.02
vertigo	—	4	1–3	25%	0.01
train	—	4	1–3	25%	-0.04
anubis	—	2	0–2	0%	0.06
overpass	—	1	1–0	100%	0.27
office	—	1	0–1	0%	-0.10
italy	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,175Lifetime kills

1.06K/D · Top 50% of tracked players

1,514Matches

38.8%Match win rate

44.5%Headshot %

2.6%Shot accuracy

2,225MVPs

491Hours (in match)

1,249Bombs planted

296Bombs defused

Most-used weapons

AK-474,569

M4A4 / M4A1-S2,776

MP91,701

XM10141,590

Glock-181,299

AWP1,122

P2000 / USP-S1,082

SSG 08795

MAC-10746

MP7740

Lifetime map wins

2,868dust2

1,548inferno

1,318nuke

461vertigo

234office

132train

113italy

38ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy

31.6%Accuracy (enemy spotted)

34.1%Spray accuracy

74.0%Counter-strafing

10.2°Preaim

605msReaction time

33.0%T opening success

49.0%CT opening success

0.57Enemies flashed / flash

8.5%Flash assists

11.28HE damage / grenade

15.73Flashes / 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 32.9747% — 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.

36% win rate across 14 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
anubis	4–13	0.03	20%	27 Aug →
ancient	7–13	0.02	12%	27 Aug →
dust2	12–12	-0.04	22%	27 Aug →
inferno	1–12	-0.04	0%	27 Aug →
cache	8–13	0.05	16%	27 Aug →
dust2	7–13	0.02	21%	27 Aug →
cache	10–13	0.02	17%	26 Aug →
mirage	13–11	0.07	20%	26 Aug →
dust2	8–13	0.05	17%	26 Aug →
cache	7–13	-0.04	20%	24 Aug →
dust2	7–13	-0.00	15%	24 Aug →
dust2	13–6	0.01	18%	24 Aug →
dust2	5–13	-0.02	17%	24 Aug →
mirage	13–11	0.06	18%	24 Aug →
dust2	10–13	0.01	21%	24 Aug →
mirage	13–8	-0.05	20%	22 Aug →
overpass	13–3	0.27	12%	22 Aug →
ancient	2–13	-0.06	19%	21 Aug →
dust2	13–11	-0.02	9%	20 Aug →
nuke	8–13	0.04	20%	20 Aug →
inferno	13–4	0.05	12%	20 Aug →
nuke	13–10	0.07	21%	20 Aug →
ancient	13–4	-0.02	16%	20 Aug →
dust2	4–13	-0.03	20%	20 Aug →
vertigo	7–13	-0.03	3%	20 Aug →
dust2	8–13	0.01	18%	20 Aug →
dust2	13–6	0.00	24%	20 Aug →
dust2	13–5	0.04	10%	20 Aug →
dust2	5–13	-0.04	16%	20 Aug →
dust2	13–8	0.13	16%	20 Aug →
ancient	13–4	0.07	15%	20 Aug →
dust2	4–13	0.04	15%	20 Aug →
anubis	6–13	0.09	15%	20 Aug →
dust2	13–10	0.06	21%	20 Aug →
nuke	5–13	0.02	13%	20 Aug →
vertigo	3–10	0.03	17%	19 Aug →
office	0–13	-0.10	11%	19 Aug →
nuke	7–13	-0.01	21%	19 Aug →
dust2	13–8	0.03	25%	19 Aug →
ancient	10–13	-0.02	17%	19 Aug →
dust2	13–7	0.02	20%	19 Aug →
nuke	12–12	0.04	15%	18 Aug →
mirage	13–11	0.05	15%	16 Aug →
inferno	13–7	0.03	12%	16 Aug →
dust2	8–13	-0.03	19%	16 Aug →
train	4–13	0.00	20%	16 Aug →
dust2	5–13	0.02	25%	16 Aug →
italy	9–13	0.13	27%	16 Aug →
inferno	13–9	0.04	24%	15 Aug →
inferno	8–13	0.01	18%	15 Aug →
dust2	13–11	0.04	17%	14 Aug →
inferno	7–13	-0.00	19%	14 Aug →
inferno	11–13	0.17	16%	13 Aug →
nuke	13–3	0.08	18%	13 Aug →
dust2	12–12	0.03	8%	13 Aug →
cache	13–10	0.09	20%	12 Aug →
dust2	7–13	-0.02	21%	12 Aug →
dust2	6–13	-0.03	13%	12 Aug →
dust2	3–13	-0.04	32%	12 Aug →
train	7–13	-0.13	14%	12 Aug →
train	8–13	-0.04	14%	12 Aug →
mirage	8–13	0.01	11%	9 Aug →
inferno	9–13	0.10	23%	9 Aug →
dust2	13–11	-0.02	29%	9 Aug →
inferno	12–12	0.08	25%	8 Aug →
vertigo	13–4	0.05	12%	8 Aug →
ancient	13–9	0.04	14%	8 Aug →
cache	6–13	-0.05	19%	8 Aug →
nuke	13–9	0.06	23%	5 Aug →
inferno	10–6	0.01	13%	5 Aug →
dust2	13–5	0.12	27%	3 Aug →
inferno	8–13	-0.08	13%	3 Aug →
dust2	8–13	-0.03	19%	3 Aug →
vertigo	8–13	-0.04	16%	30 Jul →
dust2	13–11	0.04	14%	30 Jul →
cache	13–6	-0.02	20%	30 Jul →
ancient	13–10	0.14	20%	29 Jul →
mirage	3–13	-0.00	13%	29 Jul →
dust2	13–11	-0.01	27%	29 Jul →
dust2	6–13	-0.02	17%	29 Jul →
ancient	8–13	0.01	20%	29 Jul →
dust2	13–10	-0.01	18%	27 Jul →
cache	7–13	0.02	17%	27 Jul →
dust2	3–13	-0.08	15%	27 Jul →
dust2	13–11	0.08	17%	27 Jul →
mirage	0–13	-0.01	14%	27 Jul →
inferno	12–12	-0.04	14%	27 Jul →
dust2	13–9	0.07	23%	27 Jul →
inferno	13–4	0.07	21%	26 Jul →
cache	13–10	-0.01	8%	26 Jul →
dust2	13–9	-0.03	12%	26 Jul →
dust2	5–13	-0.06	22%	26 Jul →
dust2	13–11	-0.05	9%	26 Jul →
mirage	9–13	-0.01	16%	25 Jul →
train	13–8	-0.00	9%	25 Jul →
nuke	13–9	-0.02	11%	25 Jul →
inferno	8–13	-0.07	9%	25 Jul →
mirage	11–3	0.00	24%	24 Jul →
cache	13–3	0.27	11%	24 Jul →
nuke	11–13	0.07	26%	24 Jul →