Horo_ — CS2 Stats

ZA76561198039634792[U:1:79369064]Steam profile ↗✓ No bans

186Tracked matches39%Win rate2020Tracked since

2,614Hours in CS20Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning54

Utility29

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLLLLTWWLLL

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Aim5.1

Aggression8.1

Utility2.9

Positioning5.4

Opening Duels3.1

Clutch6.0

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 b1t 82% 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. 570ms 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

Aim5.1

Positioning5.4

Utility2.9

Mechanics7.5

Opening Duels3.1

Win Impact1.4

Composite 4.6/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time575ms−89ms

first ⅓ avg 665ms → last ⅓ avg 575ms

Headshot accuracy10.9%−3.0%

first ⅓ avg 13.9% → last ⅓ avg 10.9%

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

0.20Best rating — inferno 9–5

16–2Biggest win — dust2

5Longest win streak

L4Current streak

8–7In matches decided by ≤2 rounds

22Overtime games

Map breakdown

nukeBest map · 44% over 9infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	45	19–26	42%	0.01
mirage	C	22	9–13	41%	-0.00
nuke	C	9	4–5	44%	0.01
inferno	C	8	3–5	38%	0.02
office	—	3	1–2	33%	0.03
train	—	3	2–1	67%	-0.00
vertigo	—	3	2–1	67%	-0.04
cache	—	2	0–2	0%	-0.02
anubis	—	2	0–2	0%	0.01
overpass	—	1	0–1	0%	0.02
ancient	—	1	0–1	0%	0.11
thera	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,931Lifetime kills

1.18K/D · Top 25% of tracked players

2,784Matches

46.6%Match win rate · Top 50% of tracked players

37.3%Headshot %

17.6%Shot accuracy · Top 25% of tracked players

8,038MVPs

1,447Hours (in match)

3,777Bombs planted

1,099Bombs defused

Most-used weapons

AK-4719,957

M4A4 / M4A1-S13,428

P2000 / USP-S4,091

UMP-453,569

P2503,146

Glock-182,208

Nova2,070

PP-Bizon1,965

Desert Eagle1,079

MP9986

Lifetime map wins

20,909dust2

2,733inferno

826nuke

339office

323train

294vertigo

172cbble

127italy

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

Faceit stats

Combat

9Matches

33%Win rate

1.10Avg K/D

77.5ADR

29%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	5	20%	0.88	14.6
Dust2	1	100%	2.86	20.0
Ancient	1	0%	0.74	14.0
Inferno	1	100%	1.50	21.0

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.

10.1%Headshot accuracy

35.3%Accuracy (enemy spotted)

34.4%Spray accuracy

83.9%Counter-strafing

13.6°Preaim

570msReaction time

39.5%T opening success

45.7%CT opening success

0.39Enemies flashed / flash

5.4%Flash assists

6.73HE damage / grenade

3.23Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.5742° — above the 12° mark we flag
Aim Training →
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 10.1469% — below the 15% 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 0.3938 — 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.

38% win rate across 8 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
cache	9–13	-0.02	7%	28 Aug →
mirage	9–13	-0.03	19%	28 Aug →
inferno	3–13	-0.06	14%	28 Aug →
dust2	11–13	-0.04	7%	24 Aug →
nuke	15–15	-0.01	5%	24 Aug →
nuke	13–8	0.10	10%	22 Aug →
inferno	13–6	0.03	12%	22 Aug →
mirage	9–13	-0.05	3%	21 Aug →
dust2	8–13	-0.07	0%	21 Aug →
dust2	13–16	0.04	8%	21 Aug →
nuke	13–2	0.04	11%	21 Aug →
mirage	10–13	0.00	3%	21 Aug →
dust2	13–10	0.06	13%	21 Aug →
mirage	5–13	0.07	19%	20 Aug →
dust2	4–13	-0.04	19%	20 Aug →
dust2	13–3	0.05	4%	20 Aug →
mirage	13–8	0.05	7%	20 Aug →
nuke	13–9	0.02	7%	20 Aug →
inferno	15–15	0.05	10%	19 Aug →
dust2	6–13	0.06	18%	18 Aug →
dust2	4–13	-0.04	3%	17 Aug →
mirage	13–6	0.08	19%	17 Aug →
mirage	11–13	-0.05	6%	15 Aug →
nuke	3–13	0.02	8%	15 Aug →
mirage	1–4	-0.03	33%	15 Aug →
inferno	13–10	0.01	9%	7 Jun →
mirage	4–13	-0.03	8%	23 May →
office	4–13	0.03	18%	23 May →
mirage	13–11	-0.04	19%	23 May →
mirage	13–11	0.01	11%	8 May →
mirage	2–13	-0.06	12%	8 May →
dust2	9–13	0.05	8%	3 May →
dust2	13–11	0.09	9%	2 May →
dust2	13–5	0.07	10%	2 May →
mirage	13–2	0.04	19%	14 Mar →
train	8–13	-0.06	13%	8 Mar →
train	13–5	0.08	13%	4 Mar →
office	13–8	-0.04	3%	4 Mar →
anubis	7–13	0.02	11%	4 Mar →
mirage	9–13	-0.06	11%	4 Mar →
overpass	11–13	0.02	11%	2 Mar →
train	13–3	-0.03	10%	27 Feb →
nuke	8–13	-0.05	6%	27 Feb →
nuke	9–13	0.03	6%	23 Feb →
mirage	7–13	-0.07	9%	30 Nov →
nuke	1–13	-0.10	6%	30 Nov →
dust2	11–13	0.07	23%	24 Nov →
mirage	13–11	-0.09	12%	19 Nov →
mirage	11–13	0.00	5%	16 Nov →
anubis	6–13	0.01	11%	12 Nov →
ancient	7–13	0.11	10%	12 Nov →
mirage	13–11	-0.01	9%	9 Nov →
mirage	2–13	0.06	29%	7 Nov →
dust2	4–13	-0.06	17%	3 Nov →
thera	13–7	0.01	2%	3 Nov →
dust2	12–12	0.07	13%	2 Nov →
dust2	3–13	0.09	7%	1 Nov →
inferno	5–13	-0.08	5%	8 Aug →
dust2	3–13	-0.02	27%	8 Aug →
inferno	6–13	-0.01	5%	7 Jun →
mirage	13–6	0.06	22%	24 Mar →
vertigo	13–9	-0.07	22%	21 Mar →
dust2	3–13	-0.02	22%	20 Mar →
dust2	9–13	-0.05	14%	20 Mar →
dust2	11–13	-0.01	0%	15 Feb →
dust2	5–13	-0.05	12%	11 Feb →
dust2	11–2	0.07	25%	7 Feb →
dust2	0–9	-0.05	12%	24 Jan →
dust2	13–10	0.12	15%	23 Jan →
dust2	7–13	0.01	14%	22 Jan →
dust2	9–13	-0.02	8%	20 Jan →
dust2	13–8	0.04	17%	19 Jan →
dust2	13–4	0.02	10%	7 Jan →
dust2	13–8	-0.03	16%	3 Jan →
dust2	13–5	0.00	17%	3 Jan →
dust2	13–9	-0.04	24%	3 Jan →
dust2	5–13	-0.04	28%	1 Jan →
dust2	2–13	-0.02	13%	30 Dec →
dust2	6–16	-0.02	14%	8 Apr →
mirage	11–16	-0.01	10%	8 Apr →
dust2	9–7	0.01	30%	3 Apr →
nuke	16–8	0.03	21%	3 Apr →
office	6–16	0.10	9%	3 Apr →
dust2	16–14	0.00	6%	25 Mar →
dust2	16–2	0.02	9%	25 Mar →
cache	12–16	-0.02	9%	4 Sept →
inferno	14–16	0.01	6%	11 Aug →
dust2	16–8	0.07	13%	9 Aug →
mirage	9–0	0.14	7%	9 Aug →
inferno	9–5	0.20	12%	9 Aug →
dust2	13–16	0.01	17%	30 Jul →
vertigo	6–16	-0.07	16%	24 Jul →
dust2	12–16	-0.00	12%	22 Jul →
dust2	11–16	-0.01	10%	22 Jul →
dust2	8–16	-0.06	15%	15 Jul →
dust2	16–11	-0.03	11%	12 Jun →
dust2	16–11	-0.02	13%	8 Jun →
dust2	16–14	-0.01	19%	6 Jun →
dust2	16–9	0.10	12%	5 Jun →
vertigo	16–12	0.02	13%	3 Jun →