Lacinth — CS2 Stats

DE76561199711007414[U:1:1750741686]Steam profile ↗✓ No bans

1,401Tracked matches70%Win rate2024Tracked since

CSDB Rating7.4 StrongAggressive Rifler

FaceitLevel 10 · 3,024 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning63

Utility65

0–100 skill scores via Leetify.

Recent form

HOT66–34Last 10066%Win rateWWLWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.3

Aggression8.8

Utility6.5

Positioning6.3

Opening Duels3.3

Clutch4.2

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 jL 95% playstyle similarity

Most alike: utility contribution, positioning 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 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim8.3

Positioning6.3

Utility6.5

Mechanics6.3

Opening Duels3.3

Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time604ms−22ms

first ⅓ avg 626ms → last ⅓ avg 604ms

Headshot accuracy27.7%−0.0%

first ⅓ avg 27.7% → last ⅓ avg 27.7%

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

0.15Best rating — mirage 13–5

13–0Biggest win — mirage

8Longest win streak

W2Current streak

15–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 88% over 8anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	29	23–6	79%	0.03
ancient	A	25	15–10	60%	0.01
cache	A	13	8–5	62%	0.01
dust2	S	9	6–3	67%	0.02
overpass	S	8	7–1	88%	0.02
anubis	D	6	2–4	33%	0.03
inferno	C	5	2–3	40%	0.03
nuke	—	3	1–2	33%	0.02
vertigo	—	2	2–0	100%	0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,411Matches

54%Win rate

1.22Avg K/D

84.2ADR

55%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	507	55%	1.29	18.0
Ancient	380	55%	1.18	16.8
Dust2	146	46%	1.06	16.7
Anubis	96	46%	1.12	15.4
Nuke	73	55%	1.23	17.8
Inferno	65	51%	1.27	18.6
Overpass	49	53%	1.20	16.9
Vertigo	45	64%	1.39	18.1

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.

28.5%Headshot accuracy

34.5%Accuracy (enemy spotted)

35.0%Spray accuracy

78.4%Counter-strafing

7.6°Preaim

597msReaction time

34.2%T opening success

52.6%CT opening success

0.66Enemies flashed / flash

14.0%Flash assists

7.26HE damage / grenade

8.62Flashes / 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.

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 34.1515% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	0.11	37%	12 Aug →
cache	13–5	0.11	35%	12 Aug →
mirage	9–13	0.07	22%	11 Aug →
mirage	13–3	0.05	40%	11 Aug →
cache	16–12	0.02	21%	8 Aug →
inferno	13–10	0.07	31%	8 Aug →
ancient	13–4	-0.02	16%	6 Aug →
mirage	13–5	0.07	36%	6 Aug →
mirage	13–5	0.15	31%	5 Aug →
ancient	13–5	0.00	21%	2 Aug →
mirage	13–9	0.02	27%	2 Aug →
inferno	11–13	-0.01	34%	1 Aug →
anubis	5–13	-0.02	33%	30 Jul →
mirage	13–11	0.02	22%	26 Jul →
mirage	13–8	0.00	25%	24 Jul →
ancient	13–11	0.01	16%	23 Jul →
ancient	13–4	0.07	24%	23 Jul →
ancient	11–13	0.02	25%	23 Jul →
anubis	13–6	0.06	20%	23 Jul →
cache	8–13	-0.05	14%	20 Jul →
ancient	5–13	-0.02	28%	20 Jul →
nuke	13–11	0.07	63%	18 Jul →
cache	13–10	0.03	25%	17 Jul →
mirage	16–14	-0.01	33%	17 Jul →
inferno	5–13	-0.04	30%	17 Jul →
cache	0–3	-0.07	25%	16 Jul →
dust2	13–10	0.02	24%	16 Jul →
inferno	13–11	0.06	40%	16 Jul →
cache	1–12	-0.04	35%	14 Jul →
mirage	13–11	0.08	21%	12 Jul →
ancient	10–13	0.00	19%	12 Jul →
anubis	7–13	0.06	21%	12 Jul →
ancient	13–2	-0.05	21%	12 Jul →
dust2	16–14	0.02	22%	12 Jul →
ancient	10–13	0.04	32%	12 Jul →
ancient	13–5	0.03	14%	11 Jul →
cache	11–13	0.05	27%	11 Jul →
mirage	13–11	0.07	31%	11 Jul →
ancient	13–11	-0.02	6%	10 Jul →
cache	13–1	-0.02	13%	10 Jul →
ancient	13–9	0.02	33%	9 Jul →
mirage	13–4	0.04	17%	9 Jul →
mirage	13–9	-0.00	26%	9 Jul →
dust2	16–13	-0.04	20%	7 Jul →
anubis	9–13	0.01	20%	7 Jul →
ancient	13–5	0.03	43%	7 Jul →
anubis	13–2	0.11	14%	7 Jul →
dust2	10–13	-0.02	27%	7 Jul →
anubis	10–13	-0.02	40%	7 Jul →
ancient	8–13	-0.02	17%	6 Jul →
mirage	13–10	-0.01	33%	1 Jul →
mirage	13–3	0.04	41%	1 Jul →
inferno	11–13	0.07	41%	30 Jun →
mirage	13–7	-0.00	24%	29 Jun →
ancient	13–3	0.08	40%	29 Jun →
dust2	11–13	0.00	28%	26 Jun →
mirage	13–0	0.14	32%	26 Jun →
mirage	13–7	-0.02	25%	26 Jun →
ancient	10–13	0.03	19%	26 Jun →
mirage	5–13	-0.04	27%	26 Jun →
mirage	11–13	-0.01	16%	24 Jun →
dust2	10–13	0.03	22%	24 Jun →
mirage	13–10	0.07	18%	24 Jun →
ancient	6–13	-0.03	29%	23 Jun →
mirage	13–11	0.04	24%	23 Jun →
mirage	13–16	-0.06	24%	23 Jun →
overpass	13–11	0.01	22%	22 Jun →
dust2	13–3	0.04	36%	22 Jun →
mirage	13–10	0.01	11%	22 Jun →
overpass	13–8	0.00	25%	5 Jun →
mirage	13–7	0.09	35%	4 Jun →
mirage	13–6	-0.01	44%	1 Jun →
overpass	13–10	-0.02	22%	1 Jun →
mirage	5–13	-0.05	21%	31 May →
mirage	13–8	0.04	28%	31 May →
cache	8–13	-0.00	35%	25 May →
vertigo	13–10	0.12	34%	25 May →
vertigo	13–8	0.03	20%	25 May →
overpass	13–5	0.12	40%	25 May →
cache	13–6	0.06	44%	25 May →
cache	13–8	0.03	23%	25 May →
nuke	4–13	-0.02	34%	7 May →
cache	13–2	-0.00	21%	6 May →
cache	13–3	0.03	19%	6 May →
nuke	13–16	0.01	28%	3 May →
dust2	13–11	0.05	33%	28 Apr →
dust2	13–11	0.05	41%	28 Apr →
ancient	3–13	-0.02	25%	26 Apr →
ancient	9–13	-0.06	14%	17 Apr →
ancient	13–11	0.03	33%	15 Apr →
mirage	10–13	0.09	28%	12 Apr →
overpass	16–12	0.02	22%	10 Apr →
ancient	13–6	0.06	21%	10 Apr →
ancient	13–10	0.07	30%	10 Apr →
ancient	13–3	0.01	36%	10 Apr →
overpass	13–11	0.03	16%	22 Mar →
ancient	14–16	-0.04	15%	16 Mar →
mirage	13–5	0.01	22%	12 Mar →
overpass	16–13	0.06	26%	12 Mar →
overpass	10–13	-0.03	31%	12 Mar →