Lisan Al Gaib — CS2 Stats

76561197987088613[U:1:26822885]✓ No bans

1,545Tracked matches52%Win rate2023Tracked since

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating26,274Top 25% of 819 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning40

Utility63

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateWLWLTLLLLL

Last 10 vs previous 10: -50pp win rate · +0.01 avg rating

Player DNA

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

Aim6.9

Aggression4.3

Utility6.3

Positioning4.0

Opening Duels0.4

Clutch3.2

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 87% playstyle similarity

Most alike: utility contribution, 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. 568ms 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

Aim6.9

Positioning4.0

Utility6.3

Mechanics6.1

Opening Duels1.1

Win Impact5.6

Composite 5.7/10 (Solid), 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 rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time568ms−65ms

first ⅓ avg 634ms → last ⅓ avg 568ms

Headshot accuracy12.8%+1.0%

first ⅓ avg 11.7% → last ⅓ avg 12.8%

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

0.13Best rating — anubis 13–3

13–1Biggest win — anubis

6Longest win streak

8–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	37	19–18	51%	-0.02
dust2	C	19	8–11	42%	-0.02
anubis	B	13	6–7	46%	-0.02
inferno	C	10	4–6	40%	-0.02
cache	A	8	5–3	63%	-0.02
ancient	A	7	4–3	57%	-0.04
nuke	—	3	1–2	33%	-0.02
overpass	—	3	1–2	33%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

119Matches

61%Win rate

0.90Avg K/D

71.7ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

13%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	72%	0.82	12.8
Dust2	22	64%	0.85	12.8
Anubis	19	63%	0.91	13.4
Inferno	17	41%	0.92	16.4
Ancient	16	69%	0.98	14.4
Nuke	9	33%	1.00	13.8
Overpass	2	100%	1.26	15.0
Vertigo	1	0%	0.44	8.0

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.

12.1%Headshot accuracy

38.4%Accuracy (enemy spotted)

41.4%Spray accuracy

77.6%Counter-strafing

10.6°Preaim

568msReaction time

24.5%T opening success

38.6%CT opening success

0.56Enemies flashed / flash

7.7%Flash assists

9.08HE damage / grenade

11.08Flashes / 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 12.0998% — 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 24.482% — 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.

40% win rate across 10 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
cache	13–6	-0.01	5%	27 Aug →
nuke	5–13	0.02	10%	27 Aug →
mirage	13–8	-0.06	5%	26 Aug →
ancient	9–13	-0.02	6%	25 Aug →
mirage	15–15	0.06	12%	25 Aug →
inferno	4–13	-0.07	22%	25 Aug →
mirage	9–13	-0.01	8%	25 Aug →
mirage	11–13	-0.02	7%	24 Aug →
dust2	5–13	-0.05	10%	24 Aug →
cache	0–13	-0.02	10%	24 Aug →
mirage	12–4	-0.01	9%	24 Aug →
mirage	16–12	-0.05	6%	23 Aug →
ancient	13–11	-0.07	9%	23 Aug →
cache	13–5	-0.03	9%	23 Aug →
mirage	8–13	-0.04	19%	23 Aug →
mirage	10–13	-0.05	4%	22 Aug →
cache	13–4	-0.03	6%	22 Aug →
dust2	13–11	0.04	20%	22 Aug →
mirage	13–8	0.01	29%	22 Aug →
anubis	7–13	-0.02	16%	19 Aug →
cache	13–11	0.02	19%	18 Aug →
anubis	13–3	0.13	12%	18 Aug →
mirage	1–13	-0.08	11%	18 Aug →
mirage	13–8	-0.04	15%	17 Aug →
dust2	13–9	0.03	19%	17 Aug →
inferno	0–7	-0.06	36%	16 Aug →
dust2	8–13	-0.07	7%	15 Aug →
mirage	13–5	0.02	19%	15 Aug →
inferno	11–13	0.00	8%	15 Aug →
inferno	10–1	0.05	16%	14 Aug →
mirage	12–12	0.04	14%	13 Aug →
ancient	13–11	-0.04	9%	13 Aug →
dust2	13–11	-0.02	14%	11 Aug →
mirage	11–13	-0.08	7%	23 Jul →
cache	4–13	-0.11	9%	22 Jul →
anubis	13–5	-0.03	10%	22 Jul →
mirage	13–3	0.00	14%	21 Jul →
dust2	10–13	-0.00	17%	21 Jul →
cache	13–5	0.04	23%	9 Jul →
dust2	13–10	-0.05	22%	9 Jul →
inferno	4–9	0.06	24%	3 Jul →
dust2	0–13	-0.03	0%	3 Jul →
dust2	13–5	0.01	16%	3 Jul →
anubis	13–8	-0.00	8%	3 Jul →
mirage	15–15	-0.02	9%	2 Jul →
inferno	9–3	0.01	10%	2 Jul →
overpass	14–16	-0.01	15%	2 Jul →
nuke	13–7	-0.05	11%	2 Jul →
mirage	13–8	0.03	8%	2 Jul →
dust2	13–10	-0.06	18%	1 Jul →
anubis	13–1	0.02	12%	1 Jul →
mirage	13–10	-0.02	22%	1 Jul →
anubis	13–7	-0.03	7%	30 Jun →
ancient	10–13	-0.02	17%	30 Jun →
mirage	13–8	-0.01	10%	30 Jun →
ancient	13–10	0.00	12%	30 Jun →
dust2	6–13	-0.05	14%	30 Jun →
anubis	8–13	-0.00	10%	29 Jun →
mirage	13–9	-0.03	12%	29 Jun →
anubis	7–13	-0.08	7%	29 Jun →
inferno	13–7	-0.01	12%	29 Jun →
mirage	16–12	0.00	16%	29 Jun →
overpass	13–11	0.01	9%	28 Jun →
anubis	5–13	-0.08	9%	23 Jun →
overpass	11–13	0.05	19%	23 Jun →
nuke	15–15	-0.03	10%	23 Jun →
anubis	13–7	0.02	7%	23 Jun →
mirage	11–13	-0.08	10%	22 Jun →
mirage	11–13	0.01	16%	22 Jun →
mirage	16–13	-0.01	9%	22 Jun →
dust2	10–13	-0.04	11%	22 Jun →
mirage	13–6	0.04	9%	22 Jun →
ancient	10–13	-0.10	16%	22 Jun →
cache	12–12	0.00	8%	20 Jun →
mirage	10–13	-0.03	9%	20 Jun →
ancient	13–7	-0.03	11%	19 Jun →
mirage	14–16	-0.03	7%	18 Jun →
mirage	10–13	-0.04	14%	18 Jun →
dust2	13–8	0.02	16%	17 Jun →
inferno	13–16	-0.07	10%	17 Jun →
dust2	6–13	-0.05	16%	7 Jun →
mirage	13–7	-0.02	4%	7 Jun →
mirage	9–13	-0.01	21%	6 Jun →
mirage	4–13	-0.02	8%	3 Jun →
mirage	10–13	-0.03	13%	31 May →
anubis	10–13	-0.02	8%	31 May →
dust2	11–13	-0.02	6%	25 May →
dust2	15–15	-0.07	3%	20 May →
mirage	13–9	0.05	9%	18 May →
inferno	5–13	-0.06	4%	18 May →
anubis	9–13	-0.06	8%	18 May →
mirage	13–2	-0.01	21%	17 May →
inferno	13–6	-0.04	15%	17 May →
dust2	5–13	-0.05	29%	17 May →
anubis	2–8	-0.04	7%	17 May →
mirage	13–11	-0.01	21%	17 May →
dust2	13–16	0.01	13%	17 May →
mirage	6–13	-0.07	7%	16 May →
mirage	13–11	-0.05	8%	16 May →
dust2	13–1	-0.04	21%	16 May →