Darth Shiddious — CS2 Stats

76561198115677966[U:1:155412238]Steam profile ↗

800Tracked matches67%Win rate2020Tracked since

CSDB Rating5.2 Developing

Premier CS Rating15,533Purple band · top ~26.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning41

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateWLWLLWWWLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.1

Aggression5.3

Utility5.4

Positioning4.1

Opening Duels1.6

Clutch2.6

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 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 620ms 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

Positioning4.1

Utility5.4

Mechanics5.9

Opening Duels1.6

Win Impact10.0

Composite 5.2/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time623ms+28ms

first ⅓ avg 595ms → last ⅓ avg 623ms

Headshot accuracy11.4%−0.3%

first ⅓ avg 11.7% → last ⅓ avg 11.4%

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

0.14Best rating — inferno 9–3

13–1Biggest win — anubis

9Longest win streak

7–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

trainBest map · 100% over 5cacheWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	20	9–11	45%	0.00
mirage	A	15	9–6	60%	0.02
anubis	B	14	7–7	50%	-0.00
ancient	B	13	6–7	46%	0.01
cache	C	10	4–6	40%	-0.03
dust2	A	10	6–4	60%	-0.01
train	S	5	5–0	100%	0.02
inferno	A	5	3–2	60%	0.01
overpass	—	4	3–1	75%	0.03
vertigo	—	3	2–1	67%	-0.01
office	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Faceit stats

Combat

89Matches

47%Win rate

1.00Avg K/D

77.9ADR

36%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	45%	0.85	13.4
Inferno	14	50%	0.91	15.3
Dust2	14	43%	0.95	14.2
Nuke	13	54%	1.00	13.6
Anubis	9	67%	1.61	20.6
Ancient	9	33%	0.95	13.7
Overpass	5	40%	0.88	13.4
Cache	5	40%	1.17	13.4

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.

11.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

35.4%Spray accuracy

76.4%Counter-strafing

11.1°Preaim

620msReaction time

32.5%T opening success

40.3%CT opening success

0.57Enemies flashed / flash

6.6%Flash assists

7.59HE damage / grenade

7.40Flashes / 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 11.4558% — 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 32.5042% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–5	0.09	6%	25 Aug →
cache	10–13	-0.07	4%	24 Aug →
train	13–11	0.07	17%	14 Aug →
dust2	10–13	-0.08	15%	30 Jul →
cache	8–13	-0.03	16%	26 Jul →
mirage	13–4	-0.01	25%	26 Jul →
mirage	13–9	-0.01	12%	25 Jul →
nuke	13–5	0.04	13%	25 Jul →
cache	14–16	-0.05	15%	24 Jul →
anubis	13–2	0.05	4%	24 Jul →
cache	13–5	-0.04	21%	23 Jul →
anubis	13–2	0.02	8%	20 Jul →
nuke	13–10	-0.06	11%	16 Jul →
dust2	13–11	-0.08	0%	14 Jul →
inferno	16–14	-0.03	8%	13 Jul →
ancient	13–9	-0.02	12%	13 Jul →
cache	8–13	-0.02	12%	12 Jul →
nuke	13–4	-0.04	14%	12 Jul →
anubis	10–13	0.02	16%	12 Jul →
mirage	13–5	0.06	17%	12 Jul →
mirage	7–13	0.13	15%	11 Jul →
nuke	7–13	-0.02	14%	11 Jul →
anubis	13–11	0.02	11%	11 Jul →
cache	13–8	0.02	15%	11 Jul →
ancient	8–13	-0.03	1%	10 Jul →
mirage	13–2	0.02	7%	10 Jul →
nuke	13–4	0.01	6%	10 Jul →
inferno	13–10	0.02	11%	10 Jul →
cache	13–11	-0.08	9%	9 Jul →
dust2	5–13	-0.03	8%	9 Jul →
mirage	7–13	-0.05	9%	4 Jul →
vertigo	13–5	-0.05	13%	4 Jul →
ancient	5–13	-0.09	9%	3 Jul →
anubis	5–13	-0.04	5%	3 Jul →
nuke	14–16	0.02	6%	1 Jul →
overpass	14–16	0.02	10%	1 Jul →
mirage	8–13	-0.04	2%	1 Jul →
mirage	13–6	0.11	16%	30 Jun →
vertigo	12–12	0.00	11%	30 Jun →
train	13–8	0.00	9%	30 Jun →
cache	13–8	0.09	13%	30 Jun →
office	13–5	0.02	3%	29 Jun →
nuke	13–10	-0.07	13%	29 Jun →
cache	4–13	-0.08	5%	29 Jun →
nuke	6–13	0.07	11%	25 Jun →
anubis	13–2	0.07	28%	25 Jun →
nuke	7–13	0.00	10%	25 Jun →
inferno	5–13	-0.06	17%	24 Jun →
nuke	13–5	0.00	14%	24 Jun →
anubis	2–13	-0.09	8%	24 Jun →
nuke	9–13	-0.00	12%	24 Jun →
dust2	13–9	-0.00	22%	20 Jun →
ancient	8–13	0.07	10%	19 Jun →
nuke	8–13	-0.01	13%	19 Jun →
ancient	6–13	-0.05	6%	19 Jun →
ancient	8–13	0.04	16%	18 Jun →
mirage	4–13	-0.03	10%	18 Jun →
mirage	7–13	0.06	10%	18 Jun →
dust2	4–13	-0.04	8%	17 Jun →
nuke	6–13	-0.04	14%	17 Jun →
mirage	13–7	0.05	11%	16 Jun →
mirage	8–13	-0.02	19%	16 Jun →
overpass	13–5	0.03	7%	16 Jun →
nuke	4–13	0.02	10%	10 Jun →
ancient	13–5	0.06	9%	10 Jun →
anubis	8–13	-0.05	11%	10 Jun →
anubis	8–13	-0.06	6%	10 Jun →
overpass	16–13	-0.01	6%	9 Jun →
mirage	13–8	0.06	11%	9 Jun →
anubis	13–1	0.05	11%	9 Jun →
ancient	8–13	-0.04	14%	9 Jun →
mirage	13–3	-0.07	13%	7 Jun →
anubis	13–8	0.10	15%	6 Jun →
inferno	7–13	-0.03	13%	6 Jun →
cache	11–13	-0.01	5%	6 Jun →
train	13–8	0.02	12%	6 Jun →
inferno	9–3	0.14	4%	2 Jun →
dust2	11–13	-0.02	7%	2 Jun →
nuke	12–12	0.02	20%	1 Jun →
ancient	6–0	-0.01	7%	1 Jun →
train	13–10	-0.02	12%	31 May →
nuke	11–13	0.06	6%	30 May →
nuke	15–15	-0.02	10%	30 May →
ancient	13–4	0.04	8%	30 May →
nuke	13–5	0.01	11%	29 May →
train	13–11	0.00	23%	29 May →
dust2	13–9	-0.03	17%	27 May →
anubis	13–8	0.00	16%	27 May →
anubis	12–12	-0.04	13%	27 May →
dust2	13–10	0.08	9%	26 May →
overpass	13–8	0.10	15%	26 May →
nuke	13–4	0.06	9%	24 May →
nuke	13–9	0.06	14%	24 May →
dust2	13–8	0.07	12%	24 May →
ancient	13–6	0.07	20%	24 May →
ancient	13–6	0.04	11%	20 May →
dust2	13–11	0.01	15%	20 May →
vertigo	13–8	0.02	14%	20 May →
anubis	5–13	-0.09	5%	19 May →
ancient	15–15	0.04	10%	19 May →