acypha — CS2 Stats

76561199160060780[U:1:1199795052]Steam profile ↗

960Tracked matches62%Win rate2023Tracked since

CSDB Rating6.6 SolidHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning66

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateWLWWWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim6.8

Aggression10.0

Utility4.2

Positioning6.6

Opening Duels5.4

Clutch3.6

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 sh1ro 88% 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

T-side openings. Opening success drops from 59% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim6.8

Positioning6.6

Utility4.2

Mechanics7.8

Opening Duels5.4

Win Impact9.0

Composite 6.6/10 (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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time667ms−37ms

first ⅓ avg 704ms → last ⅓ avg 667ms

Headshot accuracy27.3%+1.8%

first ⅓ avg 25.5% → last ⅓ avg 27.3%

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

0.11Best rating — dust2 13–7

13–1Biggest win — inferno

9Longest win streak

5–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 73% over 11ancientWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	31	21–10	68%	0.00
dust2	B	24	13–11	54%	0.01
ancient	C	14	5–9	36%	-0.00
inferno	S	11	8–3	73%	0.01
anubis	B	8	4–4	50%	-0.00
overpass	—	4	3–1	75%	0.02
vertigo	—	3	1–2	33%	0.01
grail	—	2	1–1	50%	0.04
cache	—	1	0–1	0%	-0.02
train	—	1	0–1	0%	-0.01
nuke	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

264Matches

47%Win rate

1.06Avg K/D

68.7ADR

62%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	91	54%	1.26	12.8
Anubis	44	50%	1.08	14.6
Dust2	38	45%	0.92	14.6
Ancient	37	49%	1.15	14.1
Inferno	19	42%	0.85	13.6
Vertigo	19	42%	0.76	12.3
Nuke	8	38%	0.71	11.1
Overpass	1	0%	0.55	11.0

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.

27.8%Headshot accuracy

30.8%Accuracy (enemy spotted)

29.8%Spray accuracy

85.2%Counter-strafing

10.0°Preaim

665msReaction time

43.5%T opening success

59.5%CT opening success

0.49Enemies flashed / flash

9.0%Flash assists

8.41HE damage / grenade

10.42Flashes / 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 0.492 — below the 0.5 mark we flag
Grenade Lineups →

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.

36% win rate across 14 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
inferno	13–11	0.06	21%	9 Aug →
dust2	7–13	-0.05	23%	10 Jul →
mirage	13–10	-0.01	24%	29 May →
dust2	13–7	0.11	58%	29 May →
vertigo	13–6	0.11	27%	24 May →
vertigo	5–13	-0.06	26%	22 May →
cache	3–13	-0.02	26%	8 May →
mirage	13–16	0.00	32%	1 Apr →
inferno	13–7	-0.05	33%	21 Feb →
dust2	4–13	0.04	39%	13 Feb →
mirage	13–11	-0.06	17%	27 Dec →
ancient	11–13	0.00	23%	27 Dec →
mirage	10–13	0.09	25%	26 Dec →
inferno	8–13	-0.03	16%	26 Dec →
dust2	12–12	-0.04	33%	26 Dec →
vertigo	7–13	-0.02	42%	22 Dec →
inferno	13–8	0.06	22%	1 Aug →
train	1–13	-0.01	17%	1 Aug →
overpass	13–11	0.03	20%	30 Jul →
mirage	13–10	0.01	34%	24 Jul →
nuke	13–10	0.02	28%	23 Jul →
dust2	13–4	0.04	38%	21 Jul →
overpass	13–9	0.04	31%	18 Jul →
inferno	13–1	0.06	15%	18 Jul →
mirage	13–10	0.07	24%	18 Jul →
grail	13–4	0.11	29%	18 Jul →
mirage	13–2	0.09	35%	18 Jul →
ancient	8–13	0.00	27%	17 Jul →
inferno	13–2	0.06	18%	16 Jul →
overpass	13–2	0.08	30%	16 Jul →
overpass	5–13	-0.07	12%	16 Jul →
mirage	13–5	0.01	43%	16 Jul →
inferno	4–13	-0.02	13%	15 Jul →
dust2	13–2	-0.01	34%	15 Jul →
mirage	13–3	0.00	20%	15 Jul →
dust2	13–5	0.02	25%	15 Jul →
ancient	13–7	-0.02	29%	15 Jul →
dust2	13–10	-0.02	27%	14 Jul →
grail	4–4	-0.03	25%	14 Jul →
dust2	12–12	0.05	31%	14 Jul →
dust2	10–13	0.04	25%	11 Jul →
mirage	13–9	0.08	26%	9 Jul →
mirage	13–2	-0.08	27%	9 Jul →
mirage	8–13	-0.05	20%	8 Jul →
anubis	13–1	-0.00	18%	8 Jul →
ancient	10–13	0.01	14%	8 Jul →
mirage	13–9	-0.02	33%	8 Jul →
dust2	15–15	-0.01	24%	7 Jul →
anubis	5–13	0.04	38%	7 Jul →
mirage	13–10	0.01	31%	2 Jul →
mirage	13–9	0.04	31%	2 Jul →
ancient	8–13	-0.05	20%	2 Jul →
dust2	14–16	-0.01	19%	2 Jul →
inferno	13–6	-0.08	32%	30 Jun →
dust2	13–5	-0.04	36%	30 Jun →
inferno	13–3	-0.03	24%	30 Jun →
mirage	13–4	-0.05	18%	30 Jun →
ancient	13–4	0.02	28%	30 Jun →
anubis	13–9	0.06	19%	30 Jun →
mirage	13–4	0.05	23%	30 Jun →
dust2	13–2	0.02	19%	30 Jun →
mirage	4–13	-0.04	33%	30 Jun →
dust2	13–3	0.05	27%	29 Jun →
mirage	7–13	-0.06	24%	29 Jun →
mirage	10–13	-0.00	19%	29 Jun →
mirage	16–14	-0.02	23%	15 May →
mirage	6–13	-0.04	15%	11 May →
anubis	13–10	0.04	21%	30 Apr →
ancient	13–10	0.04	13%	30 Apr →
ancient	15–15	0.00	16%	30 Apr →
anubis	13–5	-0.04	28%	29 Apr →
dust2	5–13	0.01	27%	29 Apr →
mirage	13–6	-0.02	26%	29 Apr →
mirage	2–13	-0.05	26%	26 Apr →
dust2	9–13	0.00	31%	22 Apr →
mirage	14–16	-0.01	21%	22 Apr →
anubis	7–13	-0.03	13%	15 Apr →
mirage	13–9	0.08	40%	15 Apr →
mirage	13–8	-0.01	28%	15 Apr →
inferno	13–7	0.05	34%	12 Apr →
ancient	13–9	-0.01	24%	8 Apr →
dust2	13–8	-0.01	29%	8 Apr →
ancient	7–13	-0.00	14%	6 Apr →
anubis	15–15	-0.03	20%	3 Apr →
ancient	11–13	-0.03	35%	3 Apr →
anubis	10–13	-0.06	22%	3 Apr →
dust2	13–2	0.03	44%	3 Apr →
mirage	13–10	0.01	12%	19 Mar →
ancient	13–8	0.03	27%	19 Mar →
dust2	13–10	0.05	20%	18 Mar →
ancient	12–16	0.01	27%	18 Mar →
dust2	13–16	-0.01	31%	10 Mar →
inferno	10–13	0.03	38%	8 Mar →
mirage	16–14	-0.00	30%	8 Mar →
dust2	14–16	-0.02	17%	3 Mar →
dust2	13–10	-0.05	27%	3 Mar →
ancient	5–13	-0.04	23%	25 Feb →
mirage	5–13	-0.03	18%	25 Feb →
mirage	16–12	-0.00	26%	18 Feb →
dust2	13–10	-0.03	34%	17 Feb →