Hort1 — CS2 Stats

76561198001352337[U:1:41086609]

1,312Tracked matches50%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 10 · 2,432 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning49

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateLWWWLLLWLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression5.2

Utility6.7

Positioning4.9

Opening Duels1.4

Clutch2.8

Strong CT-side opener

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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 667ms 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

Aim6.4

Positioning4.9

Utility6.7

Mechanics6.0

Opening Duels1.7

Win Impact5.0

Composite 5.5/10 (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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time673ms+9ms

first ⅓ avg 663ms → last ⅓ avg 673ms

Headshot accuracy20.4%−1.1%

first ⅓ avg 21.5% → last ⅓ avg 20.4%

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

0.17Best rating — nuke 13–2

13–2Biggest win — nuke

6Longest win streak

7–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 54% over 24nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	0.02
inferno	C	17	7–10	41%	0.01
ancient	C	15	6–9	40%	0.02
overpass	C	14	5–9	36%	0.02
dust2	B	13	6–7	46%	-0.00
nuke	D	8	2–6	25%	0.02
anubis	—	4	1–3	25%	0.01
cache	—	3	1–2	33%	-0.05
vertigo	—	1	0–1	0%	0.03
train	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,626Matches

51%Win rate

1.05Avg K/D

76.2ADR

41%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	223	52%	0.98	14.9
Ancient	106	57%	1.02	15.7
Anubis	102	49%	1.00	15.2
Inferno	84	50%	1.03	15.6
Dust2	79	58%	1.00	14.2
Nuke	52	46%	0.99	14.9
Overpass	46	57%	1.06	16.3
Vertigo	44	55%	1.00	15.3

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.

20.7%Headshot accuracy

35.2%Accuracy (enemy spotted)

41.3%Spray accuracy

77.0%Counter-strafing

11.1°Preaim

667msReaction time

27.3%T opening success

43.6%CT opening success

0.56Enemies flashed / flash

9.2%Flash assists

10.24HE damage / grenade

13.54Flashes / 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 27.2728% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	6–13	0.06	21%	25 Aug →
mirage	13–6	-0.00	17%	25 Aug →
inferno	13–8	0.00	16%	25 Aug →
mirage	13–6	-0.03	24%	19 Aug →
cache	9–13	-0.06	31%	11 Aug →
mirage	4–13	-0.05	16%	11 Aug →
inferno	6–13	-0.03	26%	8 Aug →
cache	16–12	-0.03	13%	30 Jul →
anubis	6–13	0.03	35%	8 Jul →
mirage	9–13	0.05	23%	8 Jul →
anubis	13–8	-0.03	17%	8 Jul →
mirage	13–7	0.01	38%	23 Jun →
dust2	13–9	-0.02	16%	12 Jun →
ancient	6–13	-0.03	19%	7 Jun →
dust2	10–13	-0.03	23%	7 Jun →
cache	0–13	-0.05	0%	1 May →
inferno	10–13	-0.00	11%	1 May →
inferno	9–13	-0.01	31%	26 Apr →
inferno	13–7	0.03	15%	19 Apr →
ancient	13–11	0.02	19%	14 Apr →
mirage	1–13	-0.02	17%	13 Apr →
vertigo	9–13	0.03	28%	13 Apr →
dust2	8–13	-0.03	27%	13 Apr →
nuke	8–13	0.04	23%	12 Apr →
mirage	13–10	-0.03	14%	12 Apr →
inferno	13–8	0.02	19%	12 Apr →
mirage	13–10	0.01	15%	6 Apr →
dust2	13–10	0.06	19%	6 Apr →
mirage	13–6	0.04	22%	3 Apr →
dust2	13–10	-0.05	15%	3 Apr →
inferno	8–13	0.03	22%	29 Mar →
nuke	11–13	0.02	32%	29 Mar →
ancient	11–13	0.00	11%	27 Mar →
nuke	13–2	0.17	20%	26 Mar →
ancient	11–13	0.00	17%	26 Mar →
ancient	11–13	0.00	12%	24 Mar →
anubis	8–13	-0.02	24%	23 Mar →
dust2	13–11	0.01	23%	22 Mar →
ancient	13–4	-0.02	8%	22 Mar →
overpass	11–13	0.13	16%	22 Mar →
mirage	9–13	0.03	23%	9 Mar →
inferno	16–12	0.04	20%	8 Mar →
ancient	11–13	0.00	18%	8 Mar →
overpass	10–13	0.02	15%	3 Mar →
dust2	13–6	-0.01	16%	3 Mar →
mirage	13–8	0.01	22%	26 Feb →
ancient	13–3	0.03	24%	26 Feb →
nuke	7–13	-0.03	13%	26 Feb →
ancient	16–13	0.06	24%	24 Feb →
inferno	19–22	-0.05	28%	21 Feb →
dust2	10–13	-0.06	12%	21 Feb →
mirage	9–13	0.04	17%	19 Feb →
ancient	11–13	0.04	18%	19 Feb →
mirage	8–13	0.02	15%	8 Feb →
overpass	5–13	-0.02	31%	8 Feb →
dust2	8–13	-0.05	23%	8 Feb →
overpass	13–8	0.02	16%	6 Feb →
inferno	7–13	-0.03	33%	6 Feb →
dust2	7–13	0.04	29%	6 Feb →
inferno	13–9	0.03	24%	25 Jan →
overpass	9–13	-0.01	12%	23 Jan →
mirage	13–8	0.05	28%	22 Jan →
overpass	5–13	0.04	10%	19 Jan →
inferno	13–11	0.06	34%	19 Jan →
mirage	13–8	0.05	25%	19 Jan →
overpass	4–13	-0.03	32%	17 Jan →
overpass	13–8	0.01	24%	15 Jan →
nuke	3–13	-0.08	11%	9 Jan →
overpass	5–13	0.02	22%	9 Jan →
inferno	4–13	0.02	16%	5 Jan →
overpass	13–11	0.00	17%	5 Jan →
ancient	16–13	0.02	16%	5 Jan →
dust2	9–13	-0.01	23%	2 Jan →
ancient	12–16	-0.02	20%	2 Jan →
nuke	13–9	0.06	28%	2 Jan →
mirage	13–11	0.12	26%	31 Dec →
mirage	9–13	-0.00	27%	30 Dec →
nuke	6–13	-0.02	22%	30 Dec →
mirage	13–6	0.06	21%	30 Dec →
ancient	8–13	0.06	18%	30 Dec →
overpass	10–13	0.02	16%	30 Dec →
inferno	7–13	-0.05	19%	27 Dec →
inferno	13–3	0.05	28%	27 Dec →
mirage	13–9	0.05	26%	26 Dec →
ancient	13–5	0.09	17%	26 Dec →
ancient	6–13	-0.03	22%	26 Dec →
mirage	10–13	-0.02	14%	26 Dec →
train	6–13	-0.00	13%	26 Dec →
overpass	9–13	0.01	22%	26 Dec →
dust2	6–13	0.07	15%	26 Dec →
nuke	7–13	0.01	26%	22 Dec →
dust2	13–9	0.03	26%	21 Dec →
mirage	4–13	0.04	29%	21 Dec →
inferno	6–13	-0.06	11%	21 Dec →
overpass	13–11	0.06	17%	21 Dec →
mirage	13–11	-0.01	20%	16 Dec →
mirage	7–13	0.00	37%	16 Dec →
overpass	13–3	0.07	38%	14 Dec →
mirage	7–13	0.00	21%	4 Dec →
inferno	6–13	0.03	25%	4 Dec →