Horny AF — CS2 Stats

76561198273919298[U:1:313653570]Steam profile ↗✓ No bans

1,114Tracked matches46%Win rate2023Tracked since

1,152Hours in CS9Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating19,075Purple band · top ~12.2% of ranked players (population est.)

CSDB Leaderboard#8190 of 16463 tracked

FaceitLevel 8 · 1,076 ELOTop 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning68

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY52–38–10Last 10052%Win rateLLWTLTTWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

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

Aim9.1

Aggression10.0

Utility3.8

Positioning6.8

Opening Duels5.6

Clutch4.4

Sharp aimerExcellent counter-strafingLimited 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 sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 571ms 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

Aim9.1

Positioning6.8

Utility3.8

Mechanics8.5

Opening Duels5.6

Win Impact3.7

Composite 6.9/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time583ms−38ms

first ⅓ avg 621ms → last ⅓ avg 583ms

Headshot accuracy15.2%−0.3%

first ⅓ avg 15.5% → last ⅓ avg 15.2%

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

0.18Best rating — train 13–4

13–1Biggest win — dust2

6Longest win streak

L2Current streak

5–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 69% over 13infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	19	7–12	37%	0.02
dust2	A	15	9–6	60%	0.05
office	A	14	9–5	64%	0.05
nuke	S	13	9–4	69%	0.06
ancient	A	9	5–4	56%	0.02
inferno	D	7	1–6	14%	0.02
anubis	A	7	4–3	57%	0.05
cache	S	6	4–2	67%	0.05
train	—	3	1–2	33%	0.05
shelter	—	3	1–2	33%	0.06
vertigo	—	2	1–1	50%	0.03
overpass	—	1	0–1	0%	-0.03
fachwerk	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,168Lifetime kills

1.14K/D · Top 50% of tracked players

1,864Matches

48.7%Match win rate · Top 50% of tracked players

35.3%Headshot %

8.1%Shot accuracy

4,987MVPs

897Hours (in match)

2,006Bombs planted

545Bombs defused

Most-used weapons

AK-4714,109

M4A4 / M4A1-S8,374

AWP3,289

P2000 / USP-S2,119

Glock-181,817

Galil AR1,551

Desert Eagle1,380

FAMAS779

MP9727

MAC-10558

Lifetime map wins

3,778dust2

3,198nuke

1,998inferno

619office

564vertigo

276train

21italy

3bank

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

Faceit stats

Combat

89Matches

57%Win rate

1.41Avg K/D

94.2ADR

33%Headshot %

Clutches & streaks

42%1v1 clutch win

31%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	22	59%	1.18	18.2
Mirage	21	62%	1.40	18.3
Nuke	12	58%	1.98	22.4
Ancient	12	58%	1.23	19.4
Inferno	9	56%	1.48	22.4
Overpass	5	60%	1.77	20.2
Anubis	5	40%	0.98	16.2
Cache	3	33%	1.51	23.7

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.

15.0%Headshot accuracy

45.5%Accuracy (enemy spotted)

44.4%Spray accuracy

88.2%Counter-strafing

8.4°Preaim

571msReaction time

48.2%T opening success

56.5%CT opening success

0.46Enemies flashed / flash

6.6%Flash assists

8.18HE damage / grenade

3.46Flashes / 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.

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 0.4557 — below the 0.5 mark we flag
Grenade Lineups →

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.

14% win rate across 7 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
mirage	4–9	-0.15	0%	23 Aug →
office	6–13	-0.02	17%	23 Aug →
dust2	13–1	0.15	21%	22 Aug →
mirage	12–12	0.00	14%	22 Aug →
mirage	5–13	-0.03	12%	15 Aug →
inferno	15–15	0.03	8%	15 Aug →
anubis	15–15	0.10	11%	15 Aug →
train	13–4	0.18	15%	15 Aug →
dust2	13–5	0.10	16%	15 Aug →
office	13–8	0.03	18%	15 Aug →
mirage	7–13	0.05	11%	15 Aug →
nuke	13–8	0.03	18%	15 Aug →
dust2	8–13	-0.00	16%	15 Aug →
office	13–11	0.04	16%	15 Aug →
ancient	12–12	-0.03	20%	15 Aug →
anubis	6–13	-0.02	15%	14 Aug →
cache	8–13	0.01	11%	14 Aug →
ancient	7–13	0.04	13%	14 Aug →
office	13–3	0.01	12%	14 Aug →
dust2	11–13	0.05	16%	14 Aug →
overpass	6–13	-0.03	19%	13 Aug →
dust2	7–13	0.03	7%	13 Aug →
office	3–7	-0.03	10%	13 Aug →
inferno	13–10	0.05	13%	13 Aug →
dust2	13–4	0.03	18%	13 Aug →
train	7–13	-0.01	30%	13 Aug →
mirage	10–13	0.03	15%	12 Aug →
nuke	4–0	0.14	25%	12 Aug →
dust2	13–10	0.06	14%	12 Aug →
ancient	5–1	0.04	30%	12 Aug →
nuke	13–6	0.09	13%	12 Aug →
dust2	10–13	0.10	15%	12 Aug →
anubis	7–13	0.03	14%	12 Aug →
inferno	11–13	0.01	14%	12 Aug →
inferno	3–13	0.03	10%	12 Aug →
mirage	13–4	0.03	31%	12 Aug →
dust2	11–13	-0.01	22%	9 Aug →
cache	13–8	0.02	12%	26 Jul →
nuke	13–9	0.00	12%	26 Jul →
nuke	13–2	0.10	10%	26 Jul →
office	11–13	0.18	13%	26 Jul →
office	12–12	-0.01	8%	25 Jul →
ancient	3–13	-0.04	21%	25 Jul →
nuke	13–2	0.08	10%	25 Jul →
cache	13–9	0.11	18%	24 Jul →
nuke	13–6	0.11	19%	24 Jul →
anubis	13–4	0.12	18%	24 Jul →
anubis	13–10	-0.02	10%	24 Jul →
mirage	11–13	-0.06	10%	23 Jul →
nuke	6–13	-0.00	12%	23 Jul →
anubis	13–9	0.05	5%	22 Jul →
anubis	13–6	0.06	23%	22 Jul →
mirage	13–10	0.08	13%	21 Jul →
vertigo	12–12	0.01	17%	21 Jul →
dust2	13–11	0.07	21%	21 Jul →
cache	13–5	0.08	20%	21 Jul →
nuke	13–2	0.14	12%	21 Jul →
mirage	13–16	0.06	12%	21 Jul →
office	13–2	0.09	16%	21 Jul →
office	13–11	0.08	16%	21 Jul →
office	13–2	0.04	15%	21 Jul →
office	13–2	0.12	11%	21 Jul →
mirage	13–11	0.06	8%	21 Jul →
mirage	13–11	0.01	16%	20 Jul →
nuke	12–12	0.05	10%	19 Jul →
ancient	13–8	0.03	8%	19 Jul →
dust2	13–4	0.06	6%	19 Jul →
ancient	13–4	0.01	9%	19 Jul →
mirage	13–3	-0.05	0%	17 Jul →
vertigo	5–0	0.04	27%	17 Jul →
inferno	6–13	-0.04	6%	15 Jul →
cache	13–4	0.05	6%	15 Jul →
office	13–8	0.10	16%	14 Jul →
dust2	13–8	0.02	17%	14 Jul →
mirage	5–13	0.08	14%	14 Jul →
shelter	10–13	0.07	18%	13 Jul →
office	13–2	0.10	15%	13 Jul →
ancient	13–4	0.09	25%	13 Jul →
mirage	13–3	0.15	24%	13 Jul →
dust2	9–0	0.04	5%	13 Jul →
shelter	13–4	0.06	16%	13 Jul →
dust2	3–13	0.06	16%	13 Jul →
mirage	0–3	-0.07	67%	12 Jul →
ancient	13–10	-0.05	4%	12 Jul →
nuke	1–13	-0.02	30%	12 Jul →
mirage	16–13	0.01	6%	12 Jul →
dust2	13–1	0.02	32%	12 Jul →
mirage	11–13	0.06	14%	12 Jul →
ancient	9–13	0.10	17%	11 Jul →
shelter	10–13	0.04	11%	11 Jul →
inferno	12–12	0.03	21%	11 Jul →
inferno	8–13	0.03	10%	11 Jul →
mirage	5–13	0.02	19%	11 Jul →
nuke	3–9	-0.04	9%	11 Jul →
nuke	13–5	0.07	11%	11 Jul →
office	4–13	-0.03	7%	11 Jul →
mirage	12–12	0.07	11%	11 Jul →
train	7–13	-0.03	10%	11 Jul →
fachwerk	13–6	0.05	8%	10 Jul →
cache	12–12	0.06	8%	10 Jul →