homie sexual — CS2 Stats

DK76561198060602533[U:1:100336805]Steam profile ↗✓ No bans

1,461Tracked matches59%Win rate2021Tracked since

CSDB Rating4.5 Developing

Premier CS Rating19,468Purple band · top ~10.6% of ranked players (population est.)

CSDB Leaderboard#13097 of 29515 tracked

FaceitLevel 5 · 803 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning33

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWWLLLLLWW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim4.5

Aggression4.5

Utility6.1

Positioning3.3

Opening Duels0.8

Clutch2.6

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 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5

Positioning3.3

Utility6.1

Mechanics4.4

Opening Duels1.5

Win Impact7.9

Composite 4.5/10 (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 rating-0.05−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time612ms−2ms

first ⅓ avg 614ms → last ⅓ avg 612ms

Headshot accuracy14.5%−0.9%

first ⅓ avg 15.3% → last ⅓ avg 14.5%

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

0.04Best rating — dust2 13–3

13–0Biggest win — ancient

3Longest win streak

W3Current streak

7–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 72% over 18mirageWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	21	10–11	48%	-0.04
nuke	B	20	10–10	50%	-0.03
ancient	S	18	13–5	72%	-0.04
mirage	D	13	4–9	31%	-0.05
dust2	B	11	5–6	45%	-0.05
anubis	B	8	4–4	50%	-0.04
inferno	D	6	2–4	33%	-0.07
vertigo	—	2	0–2	0%	-0.11
overpass	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

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

Faceit stats

Combat

234Matches

49%Win rate

0.71Avg K/D

61.3ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	49	51%	0.78	10.4
Ancient	49	57%	0.82	12.2
Inferno	36	47%	0.57	10.4
Anubis	32	50%	0.75	12.9
Mirage	16	38%	0.61	10.9
Train	14	64%	0.70	12.0
Vertigo	11	18%	0.53	9.0
Cache	10	50%	0.81	10.8

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.

14.5%Headshot accuracy

30.4%Accuracy (enemy spotted)

31.0%Spray accuracy

69.8%Counter-strafing

9.7°Preaim

598msReaction time

24.3%T opening success

42.1%CT opening success

0.59Enemies flashed / flash

10.3%Flash assists

7.55HE damage / grenade

8.39Flashes / 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 14.5235% — below the 15% mark we flag
Aim Training →
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 24.2893% — below the 40% mark we flag

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.

31% win rate across 13 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
anubis	13–10	-0.12	14%	19 Aug →
ancient	13–7	-0.02	9%	19 Aug →
inferno	13–3	-0.02	9%	19 Aug →
cache	10–13	-0.06	8%	14 Aug →
vertigo	9–13	-0.03	11%	7 Aug →
inferno	1–9	-0.13	40%	3 Aug →
vertigo	4–9	-0.18	17%	3 Aug →
overpass	6–9	-0.14	13%	3 Aug →
nuke	9–4	0.02	14%	3 Aug →
inferno	9–7	-0.04	14%	3 Aug →
nuke	13–5	0.02	11%	2 Aug →
nuke	4–13	-0.05	6%	29 Jul →
ancient	13–10	-0.01	19%	29 Jul →
cache	10–13	-0.00	12%	29 Jul →
ancient	13–4	-0.06	21%	29 Jul →
nuke	13–5	-0.03	14%	26 Jul →
mirage	6–13	-0.05	4%	26 Jul →
cache	13–10	-0.07	26%	26 Jul →
mirage	3–13	-0.07	8%	25 Jul →
nuke	13–4	-0.04	11%	25 Jul →
inferno	11–13	-0.05	15%	24 Jul →
cache	13–11	0.02	10%	24 Jul →
anubis	12–12	-0.01	10%	24 Jul →
ancient	13–6	-0.03	16%	23 Jul →
mirage	13–11	-0.05	17%	23 Jul →
dust2	9–13	-0.08	10%	23 Jul →
ancient	10–13	-0.05	8%	23 Jul →
anubis	13–11	-0.01	14%	23 Jul →
anubis	13–9	-0.00	16%	22 Jul →
dust2	7–13	-0.10	9%	22 Jul →
nuke	10–13	-0.08	11%	22 Jul →
ancient	16–13	-0.04	20%	22 Jul →
nuke	13–4	0.03	40%	22 Jul →
mirage	5–13	-0.05	43%	22 Jul →
dust2	13–10	-0.04	15%	22 Jul →
mirage	2–13	-0.11	4%	22 Jul →
anubis	14–16	-0.05	14%	22 Jul →
cache	13–6	-0.04	13%	21 Jul →
ancient	8–13	-0.06	9%	21 Jul →
nuke	13–7	-0.02	16%	21 Jul →
dust2	11–13	-0.05	18%	21 Jul →
mirage	13–5	0.02	13%	20 Jul →
cache	13–9	-0.04	18%	20 Jul →
cache	13–7	-0.01	7%	20 Jul →
nuke	5–13	-0.04	19%	20 Jul →
cache	9–13	-0.07	8%	20 Jul →
nuke	7–13	-0.10	13%	20 Jul →
ancient	13–10	-0.06	2%	18 Jul →
cache	16–13	-0.03	12%	18 Jul →
mirage	10–13	-0.06	16%	18 Jul →
anubis	10–13	-0.06	8%	18 Jul →
nuke	10–13	-0.00	22%	18 Jul →
mirage	13–7	-0.00	18%	18 Jul →
dust2	13–10	-0.07	9%	18 Jul →
mirage	11–13	-0.09	7%	18 Jul →
cache	6–13	-0.03	15%	18 Jul →
anubis	11–13	-0.06	12%	17 Jul →
dust2	7–13	-0.09	14%	17 Jul →
ancient	13–11	-0.03	15%	16 Jul →
nuke	13–8	0.02	10%	16 Jul →
cache	9–13	-0.09	4%	16 Jul →
mirage	16–13	-0.06	24%	14 Jul →
ancient	13–7	-0.03	12%	12 Jul →
nuke	11–13	-0.07	13%	12 Jul →
inferno	11–13	-0.10	13%	12 Jul →
nuke	13–4	-0.09	16%	12 Jul →
ancient	9–13	-0.06	4%	12 Jul →
cache	13–9	0.00	16%	12 Jul →
ancient	13–4	-0.02	15%	12 Jul →
dust2	3–13	-0.08	23%	12 Jul →
nuke	15–15	-0.09	16%	11 Jul →
nuke	9–13	-0.02	12%	11 Jul →
mirage	15–15	0.00	16%	11 Jul →
dust2	13–9	-0.01	25%	10 Jul →
inferno	5–13	-0.05	6%	10 Jul →
cache	10–13	-0.10	12%	10 Jul →
nuke	13–5	-0.01	6%	10 Jul →
dust2	7–13	-0.05	14%	10 Jul →
ancient	13–9	-0.01	11%	10 Jul →
cache	13–4	-0.01	10%	10 Jul →
mirage	11–13	0.00	10%	9 Jul →
nuke	8–13	-0.00	26%	9 Jul →
dust2	13–3	0.04	18%	9 Jul →
nuke	7–13	-0.03	14%	9 Jul →
cache	13–10	-0.03	19%	9 Jul →
ancient	13–4	-0.04	27%	9 Jul →
nuke	13–3	-0.06	25%	9 Jul →
ancient	14–16	-0.05	7%	9 Jul →
anubis	13–4	-0.00	19%	8 Jul →
cache	6–13	-0.06	21%	8 Jul →
cache	7–13	-0.02	12%	8 Jul →
cache	13–2	-0.03	23%	8 Jul →
mirage	1–13	-0.07	13%	7 Jul →
cache	12–12	-0.11	18%	7 Jul →
cache	7–13	-0.11	14%	6 Jul →
cache	9–13	-0.06	9%	6 Jul →
ancient	14–16	-0.03	5%	6 Jul →
ancient	13–11	-0.07	13%	6 Jul →
dust2	13–11	-0.03	27%	6 Jul →
ancient	13–0	0.03	8%	5 Jul →