Sexual Samuel — CS2 Stats

US76561198274202540[U:1:313936812]Steam profile ↗

188Tracked matches54%Win rate2023Tracked since

293Hours in CS2Hrs last 2 wks

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim42

Positioning42

Utility14

0–100 skill scores via Leetify.

Recent form

COLD55–38–7Last 10055%Win rateWWLTWLLLLL

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

Player DNA

Aim4.2

Aggression3.5

Utility1.4

Positioning4.2

Opening Duels0.6

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 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 712ms 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

Aim4.2

Positioning4.2

Utility1.4

Mechanics6.1

Opening Duels1.0

Win Impact6.2

Composite 3.9/10 (Learning), 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 rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time711ms+58ms

first ⅓ avg 654ms → last ⅓ avg 711ms

Headshot accuracy14.6%−0.8%

first ⅓ avg 15.4% → last ⅓ avg 14.6%

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 13–9

12–0Biggest win — anubis

5Longest win streak

W2Current streak

12–2In matches decided by ≤2 rounds

1Overtime games

Map breakdown

wardenBest map · 88% over 8mirageWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	13	6–7	46%	-0.04
mirage	C	10	4–6	40%	-0.06
train	B	10	5–5	50%	-0.05
dust2	B	10	5–5	50%	-0.03
ancient	A	9	5–4	56%	0.01
inferno	A	8	5–3	63%	-0.01
warden	S	8	7–1	88%	-0.01
nuke	A	7	4–3	57%	-0.01
office	S	6	5–1	83%	-0.02
overpass	—	4	2–2	50%	-0.01
italy	—	4	1–3	25%	-0.04
vertigo	—	3	1–2	33%	-0.08
alpine	—	3	2–1	67%	-0.04
stronghold	—	3	2–1	67%	-0.02
anubis	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,948Lifetime kills

0.83K/D

450Matches

40.7%Match win rate

39.9%Headshot %

3.4%Shot accuracy

441MVPs

147Hours (in match)

302Bombs planted

79Bombs defused

Most-used weapons

AK-471,428

M4A4 / M4A1-S1,161

AWP738

Desert Eagle243

P2000 / USP-S231

MP7200

Glock-18188

XM1014174

Galil AR139

AUG131

Lifetime map wins

430inferno

378nuke

330vertigo

317dust2

265train

146office

38italy

6cbble

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.

14.4%Headshot accuracy

32.5%Accuracy (enemy spotted)

30.5%Spray accuracy

77.4%Counter-strafing

9.9°Preaim

712msReaction time

26.2%T opening success

38.3%CT opening success

0.20Enemies flashed / flash

0.0%Flash assists

6.99HE damage / grenade

1.53Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3857% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 712.0835ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2013 — below the 0.5 mark we flag
Grenade Lineups →

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.

40% 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
cache	13–8	0.01	20%	22 Aug →
nuke	13–6	0.03	27%	16 Aug →
mirage	2–13	-0.09	14%	9 Aug →
ancient	15–15	0.01	17%	9 Aug →
mirage	13–11	-0.03	20%	2 Aug →
inferno	4–13	0.00	11%	2 Aug →
inferno	5–13	-0.04	8%	26 Jul →
train	6–13	-0.07	4%	26 Jul →
vertigo	10–13	-0.13	15%	26 Jul →
ancient	3–13	-0.04	6%	26 Jul →
nuke	6–13	-0.11	21%	25 Jul →
mirage	13–11	-0.09	17%	25 Jul →
dust2	8–13	-0.11	19%	11 Jul →
cache	13–5	-0.06	13%	11 Jul →
mirage	9–13	-0.03	12%	16 Jun →
cache	13–11	-0.05	18%	13 Jun →
train	13–6	-0.05	6%	13 Jun →
ancient	13–9	0.13	21%	11 Jun →
warden	13–6	0.04	16%	31 May →
dust2	13–7	-0.06	7%	31 May →
mirage	11–13	-0.00	36%	25 May →
alpine	13–2	-0.06	15%	24 May →
office	12–12	-0.01	0%	24 May →
dust2	13–6	-0.05	18%	24 May →
inferno	13–7	-0.01	12%	24 May →
dust2	5–13	-0.05	10%	23 May →
train	13–11	-0.02	9%	23 May →
train	9–13	-0.12	4%	22 May →
cache	3–13	-0.07	14%	20 May →
inferno	13–6	-0.01	16%	20 May →
warden	13–5	0.01	18%	19 May →
overpass	6–13	-0.05	28%	19 May →
overpass	13–10	-0.07	11%	17 May →
dust2	10–13	0.00	21%	17 May →
ancient	4–2	0.03	9%	17 May →
cache	12–12	-0.07	13%	17 May →
train	8–13	-0.05	24%	14 May →
nuke	13–6	-0.04	9%	13 May →
inferno	13–11	-0.06	26%	12 May →
warden	13–5	-0.00	11%	12 May →
anubis	7–13	-0.07	9%	8 May →
cache	13–10	0.02	20%	7 May →
mirage	3–13	-0.11	35%	7 May →
stronghold	13–6	-0.09	3%	7 May →
dust2	4–13	-0.05	24%	6 May →
cache	9–13	-0.08	10%	6 May →
overpass	12–12	0.02	18%	5 May →
train	5–2	0.06	22%	5 May →
stronghold	8–3	-0.03	18%	4 May →
mirage	13–6	-0.07	13%	4 May →
cache	11–13	-0.05	15%	3 May →
ancient	13–9	0.03	16%	3 May →
dust2	13–11	0.01	30%	3 May →
cache	13–6	-0.07	10%	3 May →
office	13–8	-0.05	10%	2 May →
vertigo	4–13	-0.09	33%	2 May →
cache	9–13	-0.02	15%	2 May →
cache	13–6	-0.05	12%	1 May →
anubis	12–0	0.04	0%	30 Apr →
mirage	5–13	-0.01	10%	30 Apr →
cache	8–13	-0.02	29%	29 Apr →
cache	12–12	-0.03	17%	29 Apr →
stronghold	13–4	0.05	21%	28 Apr →
train	13–7	-0.08	33%	28 Apr →
mirage	8–13	-0.12	20%	27 Apr →
dust2	6–13	-0.05	12%	27 Apr →
warden	13–10	-0.01	16%	27 Apr →
train	13–11	-0.05	18%	26 Apr →
vertigo	13–11	-0.01	19%	26 Apr →
alpine	12–12	-0.04	19%	26 Apr →
italy	2–6	-0.04	18%	26 Apr →
office	13–10	-0.04	8%	26 Apr →
mirage	13–3	-0.05	11%	25 Apr →
italy	13–2	-0.04	12%	25 Apr →
warden	10–13	-0.08	8%	25 Apr →
warden	13–3	-0.01	23%	25 Apr →
train	10–13	0.01	17%	25 Apr →
overpass	13–2	0.05	6%	24 Apr →
ancient	8–13	-0.07	11%	23 Apr →
inferno	13–5	0.01	15%	23 Apr →
office	13–6	0.03	16%	21 Apr →
warden	13–7	-0.05	30%	21 Apr →
italy	4–13	-0.07	14%	20 Apr →
nuke	13–8	-0.01	19%	19 Apr →
train	12–12	-0.08	16%	19 Apr →
nuke	9–13	0.00	16%	18 Apr →
ancient	13–11	0.01	14%	18 Apr →
office	13–10	-0.01	3%	18 Apr →
inferno	9–13	-0.02	18%	18 Apr →
inferno	13–3	0.07	24%	17 Apr →
office	13–11	-0.07	18%	12 Apr →
ancient	13–7	0.02	15%	5 Apr →
alpine	13–9	-0.02	15%	5 Apr →
italy	6–13	-0.03	9%	5 Apr →
warden	13–10	-0.01	5%	4 Apr →
dust2	13–11	-0.02	27%	4 Apr →
nuke	13–4	0.05	12%	2 Apr →
dust2	13–7	0.05	26%	29 Mar →
nuke	9–13	-0.01	20%	28 Mar →
ancient	6–13	-0.04	9%	28 Mar →