Lucifer — CS2 Stats

SE76561197962060502[U:1:1794774]Steam profile ↗

2,162Tracked matches54%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating17,284Purple band · top ~19.3% of ranked players (population est.)

CSDB Leaderboard#14185 of 25704 tracked

FaceitLevel 6 · 1,248 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning50

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLWWWWLLLW

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

Player DNA

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

Aim7.1

Aggression5.2

Utility6.3

Positioning5.0

Opening Duels0.5

Clutch4.2

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 90% playstyle similarity

Most alike: utility contribution, 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

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

Aim7.1

Positioning5.0

Utility6.3

Mechanics6.7

Opening Duels1.2

Win Impact6.2

Composite 5.8/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time625ms−54ms

first ⅓ avg 678ms → last ⅓ avg 625ms

Headshot accuracy12.7%−0.4%

first ⅓ avg 13.1% → last ⅓ avg 12.7%

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

0.12Best rating — dust2 13–8

13–0Biggest win — dust2

5Longest win streak

L2Current streak

8–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	21	7–14	33%	-0.01
dust2	B	19	9–10	47%	-0.01
mirage	B	16	8–8	50%	-0.03
cache	A	14	8–6	57%	-0.02
nuke	A	11	7–4	64%	-0.01
ancient	C	10	4–6	40%	-0.02
anubis	C	5	2–3	40%	-0.00
overpass	—	4	1–3	25%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

788Matches

50%Win rate

1.05Avg K/D

84.2ADR

34%Headshot %

Clutches & streaks

41%1v1 clutch win

29%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	63	41%	0.91	14.9
Inferno	47	57%	1.06	16.9
Ancient	27	59%	1.06	16.9
Dust2	27	30%	1.07	18.8
Anubis	25	60%	1.14	16.6
Vertigo	21	43%	1.22	13.7
Nuke	21	57%	1.22	14.8
Overpass	6	67%	1.00	16.5

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.

12.6%Headshot accuracy

39.9%Accuracy (enemy spotted)

44.9%Spray accuracy

80.2%Counter-strafing

10.3°Preaim

629msReaction time

25.0%T opening success

39.3%CT opening success

0.60Enemies flashed / flash

2.6%Flash assists

10.56HE damage / grenade

11.91Flashes / 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 12.6469% — 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 24.9897% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.07	6%	26 Aug →
anubis	14–16	0.00	13%	26 Aug →
cache	13–9	-0.01	14%	26 Aug →
cache	13–8	0.00	12%	24 Aug →
cache	13–9	-0.02	7%	24 Aug →
dust2	13–9	0.01	17%	20 Aug →
nuke	7–13	-0.07	13%	20 Aug →
mirage	4–13	-0.08	10%	20 Aug →
inferno	10–13	-0.01	13%	20 Aug →
inferno	13–6	-0.01	23%	18 Aug →
nuke	13–8	0.09	12%	18 Aug →
anubis	13–3	0.06	16%	18 Aug →
ancient	13–7	-0.01	8%	17 Aug →
inferno	16–14	-0.03	10%	16 Aug →
inferno	15–15	-0.04	8%	16 Aug →
inferno	16–13	0.04	21%	15 Aug →
inferno	11–13	0.00	13%	15 Aug →
cache	13–5	-0.07	7%	15 Aug →
dust2	13–9	-0.01	13%	15 Aug →
ancient	7–13	-0.04	17%	15 Aug →
mirage	9–13	-0.02	2%	15 Aug →
inferno	15–15	0.03	27%	14 Aug →
cache	10–13	-0.03	9%	14 Aug →
nuke	13–6	0.01	5%	9 Aug →
dust2	6–13	0.00	15%	9 Aug →
dust2	16–12	-0.01	18%	8 Aug →
nuke	7–13	-0.08	8%	8 Aug →
ancient	14–16	-0.03	11%	7 Aug →
cache	13–11	0.01	13%	7 Aug →
inferno	11–13	-0.08	14%	7 Aug →
nuke	13–7	0.03	7%	30 Jul →
inferno	5–13	-0.04	17%	24 Jul →
cache	13–6	0.08	21%	24 Jul →
mirage	2–13	0.01	13%	24 Jul →
anubis	12–16	-0.03	12%	23 Jul →
mirage	13–5	0.04	9%	23 Jul →
inferno	13–11	-0.01	13%	23 Jul →
nuke	5–13	-0.04	15%	23 Jul →
dust2	13–10	-0.02	11%	20 Jul →
cache	4–13	-0.04	17%	20 Jul →
mirage	14–16	-0.01	14%	14 Jul →
inferno	7–13	-0.02	9%	14 Jul →
cache	8–13	-0.05	12%	14 Jul →
cache	9–13	-0.07	11%	13 Jul →
cache	13–6	-0.09	12%	13 Jul →
cache	2–13	-0.07	13%	9 Jul →
dust2	13–11	-0.04	15%	9 Jul →
dust2	12–12	-0.02	12%	7 Jul →
mirage	2–13	-0.11	16%	7 Jul →
anubis	6–13	-0.02	19%	7 Jul →
mirage	7–13	-0.04	13%	3 Jul →
inferno	9–13	0.02	17%	3 Jul →
inferno	4–13	-0.04	21%	27 Jun →
nuke	13–11	-0.03	18%	27 Jun →
inferno	13–11	-0.03	23%	27 Jun →
ancient	1–4	0.00	33%	27 Jun →
mirage	13–7	0.04	9%	27 Jun →
overpass	11–13	0.05	23%	20 Jun →
dust2	13–0	0.05	24%	20 Jun →
anubis	13–11	-0.00	21%	20 Jun →
ancient	13–6	-0.02	17%	20 Jun →
overpass	13–10	-0.03	12%	20 Jun →
mirage	13–4	-0.03	14%	19 Jun →
dust2	10–13	-0.00	16%	19 Jun →
nuke	13–5	-0.05	6%	19 Jun →
dust2	8–13	-0.03	6%	19 Jun →
dust2	13–8	0.12	18%	25 May →
mirage	16–13	-0.03	12%	10 May →
dust2	13–5	0.01	15%	10 May →
cache	3–13	-0.06	17%	7 May →
cache	13–10	0.10	10%	7 May →
dust2	10–13	0.01	18%	3 May →
ancient	6–13	-0.05	20%	30 Apr →
overpass	11–13	-0.05	10%	25 Apr →
inferno	9–13	0.05	17%	19 Apr →
overpass	6–13	-0.04	8%	18 Apr →
ancient	13–6	0.06	12%	18 Apr →
nuke	10–13	-0.06	15%	18 Apr →
inferno	13–6	-0.03	13%	17 Apr →
dust2	8–13	0.00	24%	27 Mar →
ancient	9–13	-0.04	9%	27 Mar →
mirage	13–5	-0.03	15%	27 Mar →
dust2	13–7	-0.03	7%	27 Mar →
mirage	13–11	-0.03	13%	26 Mar →
inferno	14–16	-0.00	9%	26 Mar →
ancient	14–16	-0.03	13%	26 Mar →
mirage	5–13	-0.09	24%	25 Mar →
dust2	7–13	-0.07	13%	25 Mar →
inferno	10–13	0.04	9%	24 Mar →
nuke	13–8	0.08	7%	24 Mar →
mirage	13–6	0.01	11%	24 Mar →
dust2	7–13	0.03	19%	23 Mar →
dust2	7–13	-0.04	10%	23 Mar →
mirage	13–6	0.00	7%	23 Mar →
ancient	16–13	-0.01	14%	15 Mar →
inferno	6–13	0.07	11%	13 Mar →
dust2	5–13	-0.11	13%	6 Mar →
inferno	13–8	0.01	11%	6 Mar →
inferno	15–15	-0.01	9%	27 Feb →
nuke	13–7	-0.00	17%	27 Feb →