Styx — CS2 Stats

US76561198095634612[U:1:135368884]Steam profile ↗✓ No bans

727Tracked matches50%Win rate2024Tracked since

CSDB Rating4.2 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning46

Utility56

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateWWLWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim4.4

Aggression5.0

Utility5.6

Positioning4.6

Opening Duels0.9

Clutch1.0

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 NiKo 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4

Positioning4.6

Utility5.6

Mechanics3.8

Opening Duels0.9

Win Impact5.0

Composite 4.2/10 (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+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time613ms−27ms

first ⅓ avg 639ms → last ⅓ avg 613ms

Headshot accuracy10.8%+0.5%

first ⅓ avg 10.3% → last ⅓ avg 10.8%

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

0.33Best rating — inferno 9–1

13–0Biggest win — mirage

5Longest win streak

W2Current streak

7–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 85% over 13dust2Weakest map · 36% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	9–16	36%	-0.01
nuke	A	20	11–9	55%	0.01
inferno	A	18	10–8	56%	0.01
mirage	A	16	10–6	63%	0.00
ancient	S	13	11–2	85%	0.03
overpass	—	3	0–3	0%	-0.06
anubis	—	2	2–0	100%	-0.02
cache	—	2	1–1	50%	0.03
poseidon	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches

51%Win rate

0.98Avg K/D

74.7ADR

32%Headshot %

Clutches & streaks

25%1v1 clutch win

22%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	17	41%	0.90	14.1
Ancient	11	45%	1.15	15.2
Nuke	11	73%	1.08	12.9
Inferno	6	67%	0.88	12.0
Overpass	4	25%	0.76	14.3
Mirage	4	25%	0.85	12.5
Train	2	100%	1.66	19.5
Anubis	1	0%	0.07	1.0

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.

10.6%Headshot accuracy

34.2%Accuracy (enemy spotted)

36.2%Spray accuracy

67.2%Counter-strafing

10.5°Preaim

610msReaction time

31.0%T opening success

36.3%CT opening success

0.73Enemies flashed / flash

8.5%Flash assists

9.61HE damage / grenade

3.53Flashes / 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 10.557% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5318 — below the 4 mark we flag
Grenade Lineups →
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 30.9545% — below the 40% mark we flag

Spend your practice time on Dust 2

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 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–8	0.03	5%	21 Aug →
ancient	13–9	0.00	13%	21 Aug →
cache	7–13	-0.06	11%	2 Aug →
dust2	16–14	0.07	11%	26 Jul →
ancient	13–11	-0.04	11%	25 Jul →
mirage	13–5	-0.01	6%	25 Jul →
nuke	11–13	-0.02	6%	21 Jul →
inferno	13–16	-0.04	11%	19 Jul →
cache	13–11	0.12	11%	19 Jul →
dust2	16–12	0.02	12%	3 Jul →
nuke	13–7	0.05	10%	28 Jun →
overpass	8–13	-0.06	9%	26 Jun →
inferno	13–6	0.01	5%	26 Jun →
dust2	11–13	-0.02	10%	24 Jun →
nuke	13–1	0.00	2%	24 Jun →
inferno	4–13	0.02	6%	22 Jun →
nuke	16–13	-0.01	7%	20 Jun →
dust2	11–13	0.13	17%	19 Jun →
inferno	10–13	-0.06	2%	17 Jun →
ancient	10–13	-0.06	9%	14 Jun →
mirage	13–6	0.03	9%	13 Jun →
dust2	10–13	-0.04	21%	7 Jun →
mirage	13–4	-0.03	17%	7 Jun →
dust2	13–7	-0.01	26%	7 Jun →
nuke	3–13	-0.06	15%	5 Jun →
inferno	3–13	-0.09	4%	31 May →
mirage	13–16	-0.04	15%	30 May →
nuke	10–13	-0.06	8%	30 May →
ancient	13–10	0.04	11%	29 May →
dust2	7–13	-0.01	11%	20 Apr →
ancient	13–2	0.03	8%	19 Apr →
mirage	16–12	-0.01	15%	13 Apr →
inferno	9–1	0.33	21%	13 Apr →
inferno	8–13	-0.02	14%	11 Apr →
dust2	13–6	-0.03	8%	11 Apr →
nuke	13–6	0.04	11%	11 Apr →
nuke	4–13	0.03	6%	11 Apr →
ancient	13–7	0.02	7%	11 Apr →
dust2	8–13	-0.07	11%	10 Apr →
ancient	13–9	0.06	13%	9 Apr →
poseidon	8–8	0.10	22%	5 Apr →
dust2	9–13	-0.04	11%	5 Apr →
inferno	13–11	0.10	11%	5 Apr →
nuke	11–13	-0.04	9%	4 Apr →
inferno	9–5	0.12	17%	4 Apr →
nuke	11–13	0.02	7%	4 Apr →
dust2	13–9	0.04	8%	4 Apr →
nuke	13–1	0.08	3%	2 Apr →
ancient	13–10	0.06	12%	31 Mar →
mirage	13–5	0.01	11%	29 Mar →
inferno	13–6	-0.00	11%	29 Mar →
mirage	2–13	-0.04	7%	27 Mar →
dust2	13–5	0.06	4%	27 Mar →
dust2	11–13	-0.04	14%	26 Mar →
ancient	11–13	-0.01	5%	23 Mar →
mirage	13–11	0.02	5%	21 Mar →
nuke	13–7	0.00	5%	18 Mar →
inferno	13–11	-0.02	11%	14 Mar →
nuke	13–3	0.01	10%	13 Mar →
mirage	11–13	-0.00	8%	12 Mar →
inferno	8–13	0.01	13%	10 Mar →
nuke	16–12	0.00	14%	9 Mar →
dust2	13–8	-0.02	10%	7 Mar →
ancient	13–10	0.11	14%	7 Mar →
dust2	9–13	-0.06	19%	7 Mar →
dust2	10–13	0.00	23%	6 Mar →
mirage	6–13	0.03	7%	1 Mar →
dust2	10–13	-0.03	13%	26 Feb →
dust2	4–13	-0.05	22%	25 Feb →
dust2	5–13	-0.04	5%	25 Feb →
nuke	6–13	0.03	6%	25 Feb →
inferno	13–9	-0.01	15%	24 Feb →
dust2	13–5	-0.04	9%	23 Feb →
ancient	13–6	-0.00	9%	21 Feb →
inferno	9–4	-0.01	9%	21 Feb →
inferno	2–9	-0.17	9%	21 Feb →
inferno	9–2	0.10	4%	21 Feb →
dust2	9–13	-0.03	9%	17 Feb →
overpass	9–13	-0.03	11%	17 Feb →
dust2	11–13	-0.04	21%	16 Feb →
nuke	10–13	0.02	8%	15 Feb →
mirage	13–9	-0.04	11%	15 Feb →
nuke	13–6	0.00	4%	14 Feb →
overpass	13–16	-0.09	7%	14 Feb →
nuke	7–13	-0.04	6%	14 Feb →
ancient	13–11	0.05	8%	14 Feb →
ancient	13–5	0.11	7%	13 Feb →
mirage	16–12	0.02	12%	12 Feb →
mirage	11–13	0.00	5%	10 Feb →
dust2	10–13	-0.00	9%	10 Feb →
inferno	13–3	-0.04	9%	9 Feb →
nuke	13–8	0.13	11%	9 Feb →
mirage	13–0	0.12	3%	9 Feb →
dust2	11–13	0.00	20%	9 Feb →
anubis	13–9	-0.06	6%	8 Feb →
dust2	13–7	0.06	20%	8 Feb →
mirage	4–13	-0.07	10%	8 Feb →
mirage	13–8	0.03	14%	7 Feb →
nuke	13–8	-0.01	20%	3 Feb →
inferno	9–13	-0.11	8%	3 Feb →