deLirious — CS2 Stats

US76561199085010171[U:1:1124744443]Steam profile ↗✓ No bans

1,131Tracked matches61%Win rate2023Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating15,897Purple band · top ~24.8% of ranked players (population est.)

CSDB Leaderboard#11023 of 17888 tracked

FaceitLevel 7 · 1,640 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning49

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLWWLWLWWL

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.

Aim6.6

Aggression5.7

Utility5.2

Positioning4.9

Opening Duels2.1

Clutch4.4

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 88% playstyle similarity

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

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 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.6

Positioning4.9

Utility5.2

Mechanics5.9

Opening Duels2.4

Win Impact8.6

Composite 5.7/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time583ms−40ms

first ⅓ avg 623ms → last ⅓ avg 583ms

Headshot accuracy18.6%−1.6%

first ⅓ avg 20.2% → last ⅓ avg 18.6%

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

0.13Best rating — nuke 13–2

13–2Biggest win — anubis

7Longest win streak

9–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

infernoBest map · 58% over 31cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	31	18–13	58%	0.00
anubis	B	21	10–11	48%	-0.01
dust2	B	14	7–7	50%	-0.03
nuke	B	14	7–7	50%	0.01
ancient	B	12	6–6	50%	0.01
cache	D	6	2–4	33%	0.02
mirage	—	1	0–1	0%	0.00
overpass	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

542Matches

51%Win rate

0.88Avg K/D

66.7ADR

51%Headshot %

Clutches & streaks

42%1v1 clutch win

15%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	176	58%	0.90	12.9
Nuke	84	56%	0.90	13.0
Ancient	83	46%	0.84	12.8
Anubis	82	46%	0.84	12.4
Dust2	67	46%	0.90	13.3
Mirage	21	29%	0.72	10.9
Overpass	17	59%	1.05	13.6
Cache	6	33%	0.87	15.5

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.

18.6%Headshot accuracy

34.1%Accuracy (enemy spotted)

36.7%Spray accuracy

76.5%Counter-strafing

10.5°Preaim

576msReaction time

27.8%T opening success

49.0%CT opening success

0.44Enemies flashed / flash

2.3%Flash assists

8.55HE damage / grenade

11.60Flashes / 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 0.4397 — below the 0.5 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 27.8371% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	19–16	0.02	19%	28 Aug →
anubis	11–13	-0.00	18%	28 Aug →
anubis	13–7	0.06	14%	26 Aug →
inferno	13–9	0.01	20%	26 Aug →
anubis	10–13	0.01	27%	26 Aug →
ancient	13–8	0.02	25%	25 Aug →
anubis	12–16	0.02	22%	25 Aug →
inferno	13–11	0.01	16%	25 Aug →
dust2	13–11	-0.01	11%	24 Aug →
anubis	11–13	-0.03	10%	24 Aug →
inferno	13–10	-0.00	14%	22 Aug →
inferno	13–8	0.00	13%	19 Aug →
inferno	13–6	0.01	24%	18 Aug →
anubis	13–2	-0.02	16%	18 Aug →
ancient	12–16	-0.02	19%	18 Aug →
inferno	10–13	-0.02	30%	18 Aug →
ancient	13–6	0.11	23%	17 Aug →
inferno	13–2	0.02	23%	16 Aug →
dust2	13–10	-0.01	40%	12 Aug →
nuke	9–13	0.04	14%	12 Aug →
anubis	5–13	-0.00	18%	12 Aug →
inferno	19–16	0.04	20%	11 Aug →
inferno	6–13	-0.00	16%	11 Aug →
inferno	15–15	0.04	21%	11 Aug →
cache	13–3	0.08	19%	10 Aug →
nuke	13–10	-0.00	15%	10 Aug →
dust2	9–13	-0.02	11%	10 Aug →
anubis	15–15	-0.05	14%	9 Aug →
nuke	10–13	-0.05	12%	9 Aug →
inferno	16–14	-0.07	14%	4 Aug →
cache	5–13	-0.02	15%	4 Aug →
anubis	9–13	0.03	18%	3 Aug →
ancient	13–9	-0.00	21%	3 Aug →
inferno	13–6	0.09	27%	1 Aug →
inferno	6–13	-0.01	29%	31 Jul →
nuke	13–10	-0.02	13%	31 Jul →
ancient	10–13	0.01	18%	28 Jul →
nuke	9–13	-0.02	13%	26 Jul →
anubis	13–11	-0.01	16%	23 Jul →
dust2	16–13	0.02	24%	21 Jul →
anubis	10–13	-0.04	20%	21 Jul →
dust2	13–9	0.03	24%	21 Jul →
inferno	0–13	-0.04	0%	21 Jul →
nuke	13–4	0.08	26%	21 Jul →
nuke	13–2	0.13	13%	21 Jul →
ancient	11–13	-0.01	13%	20 Jul →
inferno	13–5	0.02	14%	20 Jul →
dust2	7–13	-0.05	8%	20 Jul →
nuke	13–4	0.05	12%	20 Jul →
anubis	13–11	-0.01	21%	17 Jul →
anubis	13–8	-0.04	19%	16 Jul →
ancient	7–13	-0.04	7%	15 Jul →
anubis	13–10	-0.07	10%	14 Jul →
inferno	13–9	-0.05	7%	14 Jul →
dust2	8–13	-0.06	17%	14 Jul →
ancient	13–8	0.02	24%	13 Jul →
anubis	2–13	-0.04	19%	13 Jul →
inferno	13–16	0.05	21%	13 Jul →
nuke	11–13	0.02	20%	12 Jul →
anubis	16–12	0.02	19%	12 Jul →
dust2	13–11	-0.01	18%	8 Jul →
inferno	2–13	-0.08	13%	8 Jul →
nuke	13–6	0.06	31%	7 Jul →
inferno	4–13	-0.05	22%	7 Jul →
dust2	13–11	-0.02	18%	6 Jul →
inferno	13–8	0.03	13%	6 Jul →
inferno	14–16	0.03	20%	5 Jul →
dust2	3–13	-0.14	17%	5 Jul →
ancient	9–13	-0.01	15%	5 Jul →
anubis	5–13	0.05	24%	5 Jul →
dust2	13–16	0.01	31%	4 Jul →
inferno	8–13	0.02	20%	4 Jul →
inferno	13–9	0.01	8%	4 Jul →
inferno	8–13	-0.04	15%	4 Jul →
dust2	1–13	-0.05	32%	30 Jun →
inferno	16–13	-0.01	18%	28 Jun →
inferno	10–13	-0.03	15%	28 Jun →
dust2	13–8	-0.01	17%	26 Jun →
dust2	10–13	-0.08	19%	26 Jun →
inferno	13–16	0.00	21%	24 Jun →
nuke	10–13	-0.01	21%	24 Jun →
inferno	13–11	0.02	20%	24 Jun →
cache	2–13	0.04	33%	17 Jun →
cache	10–13	0.01	12%	26 May →
inferno	13–6	-0.02	16%	26 May →
ancient	13–5	0.06	29%	24 May →
anubis	13–10	-0.02	26%	15 May →
ancient	13–8	0.01	29%	15 May →
inferno	13–9	-0.02	15%	14 May →
anubis	13–11	0.00	22%	13 May →
nuke	13–6	0.03	12%	13 May →
anubis	8–13	-0.03	22%	12 May →
mirage	9–13	0.00	19%	12 May →
cache	5–13	0.01	26%	12 May →
ancient	1–13	-0.05	24%	12 May →
inferno	13–2	0.06	11%	11 May →
overpass	16–12	-0.01	26%	11 May →
cache	13–10	0.01	23%	10 May →
nuke	9–13	-0.07	14%	10 May →
nuke	11–13	-0.02	13%	10 May →