hyuN[ts] — CS2 Stats

US76561198059782576[U:1:99516848]Steam profile ↗✓ No bans

1,255Tracked matches40%Win rate2020Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim62

Positioning56

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY35–63–2Last 10035%Win rateLLWWWLLLWL

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

Player DNA

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

Aim6.2

Aggression4.8

Utility6.5

Positioning5.6

Opening Duels1.4

Clutch3.2

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 91% 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 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim6.2

Positioning5.6

Utility6.5

Mechanics7.2

Opening Duels1.7

Win Impact1.7

Composite 5.4/10 (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-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time626ms−36ms

first ⅓ avg 661ms → last ⅓ avg 626ms

Headshot accuracy12.9%−2.4%

first ⅓ avg 15.3% → last ⅓ avg 12.9%

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

0.10Best rating — nuke 9–3

13–3Biggest win — cache

3Longest win streak

L2Current streak

8–13In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 40% over 35ancientWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	14–21	40%	-0.01
inferno	C	16	6–10	38%	-0.00
nuke	D	16	5–11	31%	0.00
overpass	D	12	4–8	33%	-0.01
cache	C	10	4–6	40%	0.01
ancient	D	8	1–7	13%	-0.02
mirage	—	2	0–2	0%	-0.05
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

399Matches

56%Win rate

1.20Avg K/D

80.2ADR

42%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

21Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	52	50%	1.25	16.6
Dust2	49	47%	1.06	14.4
Inferno	47	49%	1.20	15.3
Mirage	42	69%	1.28	15.6
Nuke	33	52%	0.96	13.2
Overpass	12	67%	1.17	15.8
Anubis	9	22%	0.84	14.8
Cache	1	100%	1.25	15.0

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.

13.7%Headshot accuracy

36.0%Accuracy (enemy spotted)

35.7%Spray accuracy

82.4%Counter-strafing

10.2°Preaim

629msReaction time

27.9%T opening success

43.4%CT opening success

0.66Enemies flashed / flash

9.8%Flash assists

6.93HE damage / grenade

12.90Flashes / 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 13.6577% — 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 27.9468% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–4	0.05	8%	24 Aug →
dust2	11–13	-0.01	11%	21 Aug →
inferno	19–17	-0.03	12%	17 Aug →
dust2	13–5	0.01	13%	16 Aug →
cache	13–3	0.08	13%	16 Aug →
ancient	7–13	0.02	5%	9 Aug →
cache	11–13	0.07	14%	3 Aug →
ancient	13–16	-0.05	14%	26 Jul →
cache	13–8	-0.03	23%	26 Jul →
cache	5–13	-0.03	15%	19 Jul →
inferno	9–13	-0.03	20%	19 Jul →
ancient	13–8	-0.02	4%	19 Jul →
dust2	13–8	0.04	13%	19 Jul →
dust2	5–13	-0.03	20%	16 Jul →
cache	13–8	0.04	10%	14 Jul →
cache	10–13	-0.03	15%	12 Jul →
dust2	7–13	-0.02	10%	12 Jul →
dust2	13–4	-0.03	18%	5 Jul →
cache	8–13	-0.03	10%	5 Jul →
cache	10–1	0.02	18%	25 May →
cache	9–13	-0.02	17%	25 May →
dust2	5–13	-0.03	14%	30 Apr →
dust2	6–13	-0.04	7%	25 Apr →
dust2	6–13	-0.05	16%	6 Apr →
nuke	11–13	0.01	27%	6 Apr →
inferno	13–7	0.02	13%	5 Apr →
overpass	13–7	0.03	10%	30 Mar →
dust2	4–13	-0.09	6%	30 Mar →
dust2	13–8	0.00	16%	23 Mar →
inferno	13–16	-0.00	14%	2 Feb →
dust2	11–13	-0.02	7%	26 Jan →
inferno	13–6	0.01	10%	26 Jan →
overpass	4–13	-0.07	3%	29 Dec →
inferno	9–13	-0.08	16%	29 Dec →
dust2	9–13	0.03	26%	26 Dec →
nuke	9–13	-0.01	18%	26 Dec →
nuke	1–13	-0.12	9%	21 Dec →
overpass	11–13	0.01	7%	15 Dec →
inferno	13–8	0.04	15%	15 Dec →
inferno	5–8	-0.03	25%	7 Dec →
overpass	5–13	-0.06	10%	7 Dec →
nuke	13–7	-0.01	8%	1 Dec →
dust2	13–7	-0.05	4%	1 Dec →
inferno	11–13	0.05	16%	29 Nov →
nuke	1–13	-0.10	11%	29 Nov →
overpass	3–13	-0.04	23%	26 Nov →
ancient	3–13	-0.02	20%	26 Nov →
inferno	13–7	0.09	15%	26 Nov →
nuke	5–13	0.02	10%	24 Nov →
dust2	6–13	-0.03	19%	22 Nov →
nuke	13–11	0.04	22%	22 Nov →
overpass	13–11	0.01	24%	21 Nov →
nuke	13–8	-0.01	22%	20 Nov →
mirage	7–13	-0.03	10%	19 Nov →
inferno	11–13	-0.04	10%	18 Nov →
vertigo	9–2	0.02	17%	18 Nov →
overpass	13–11	-0.02	12%	15 Nov →
ancient	8–13	-0.03	15%	15 Nov →
dust2	10–13	-0.01	11%	15 Nov →
dust2	16–12	-0.00	21%	14 Nov →
ancient	10–13	-0.05	4%	13 Nov →
dust2	16–14	-0.02	12%	13 Nov →
nuke	13–11	-0.03	10%	12 Nov →
inferno	11–13	0.05	27%	12 Nov →
dust2	13–8	0.02	30%	11 Nov →
overpass	13–16	0.01	14%	11 Nov →
nuke	12–16	0.03	14%	7 Nov →
dust2	13–16	-0.03	15%	7 Nov →
dust2	12–16	-0.06	12%	5 Nov →
ancient	10–13	0.02	16%	2 Nov →
dust2	12–12	-0.03	11%	2 Nov →
dust2	9–13	0.05	16%	30 Oct →
nuke	10–13	0.04	13%	30 Oct →
dust2	1–13	-0.04	26%	29 Oct →
overpass	12–13	0.00	15%	29 Oct →
nuke	11–13	0.05	18%	27 Oct →
inferno	5–13	0.01	8%	27 Oct →
dust2	13–16	-0.03	11%	27 Oct →
ancient	10–13	-0.01	10%	25 Oct →
dust2	13–11	0.01	10%	24 Oct →
dust2	7–13	-0.01	11%	23 Oct →
nuke	8–13	0.01	11%	23 Oct →
dust2	9–13	-0.06	13%	18 Oct →
dust2	16–13	0.02	17%	18 Oct →
dust2	13–6	0.09	14%	18 Oct →
overpass	14–16	0.02	6%	15 Oct →
dust2	16–14	0.06	12%	15 Oct →
dust2	4–13	-0.02	23%	15 Oct →
inferno	7–13	-0.09	11%	10 Oct →
overpass	13–6	-0.01	29%	10 Oct →
nuke	5–13	-0.02	13%	9 Oct →
inferno	10–13	-0.03	5%	8 Oct →
dust2	13–7	0.06	17%	8 Oct →
inferno	13–7	0.02	15%	7 Oct →
nuke	11–13	0.01	15%	21 Aug →
dust2	13–7	0.03	24%	21 Aug →
mirage	6–13	-0.07	15%	19 Aug →
dust2	12–12	0.02	32%	18 Aug →
overpass	9–13	0.06	23%	17 Aug →
nuke	9–3	0.10	17%	17 Aug →