Lil Gusto III — CS2 Stats

ZA76561198178626221[U:1:218360493]Steam profile ↗✓ No bans

3,940Tracked matches50%Win rate2020Tracked since

3,083Hours in CS

CSDB Rating3.2 Learning

Ladder ranks via Leetify

Performance scores

Aim21

Positioning35

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLWLLLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim2.1

Aggression3.0

Utility6.5

Positioning3.5

Opening Duels0.0

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 72% 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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1

Positioning3.5

Utility6.5

Mechanics2.3

Opening Duels0.0

Win Impact5.0

Composite 3.2/10 (Learning), 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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time587ms+4ms

first ⅓ avg 582ms → last ⅓ avg 587ms

Headshot accuracy13.9%+0.6%

first ⅓ avg 13.2% → last ⅓ avg 13.9%

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

0.11Best rating — inferno 13–8

13–1Biggest win — inferno

6Longest win streak

14–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 70% over 20anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	14–9	61%	0.02
nuke	S	20	14–6	70%	-0.00
mirage	C	14	6–8	43%	-0.02
anubis	C	13	5–8	38%	0.01
cache	C	10	4–6	40%	-0.01
overpass	C	9	4–5	44%	0.01
ancient	B	6	3–3	50%	-0.02
vertigo	—	3	2–1	67%	0.01
dust2	—	2	0–2	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

165,794Lifetime kills

1.03K/D

9,080Matches

35.5%Match win rate

37.7%Headshot %

17.9%Shot accuracy · Top 25% of tracked players

13,862MVPs

3,083Hours (in match)

6,901Bombs planted

2,371Bombs defused

Most-used weapons

AK-4727,277

M4A4 / M4A1-S24,145

XM101420,475

Galil AR19,722

AWP12,409

AUG9,626

P2508,830

MP97,666

SG 5536,936

MAC-106,613

Lifetime map wins

13,615nuke

12,276vertigo

7,684inferno

3,931dust2

3,845train

283cbble

264office

115lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.0%Headshot accuracy

29.7%Accuracy (enemy spotted)

28.4%Spray accuracy

60.5%Counter-strafing

14.4°Preaim

595msReaction time

22.0%T opening success

30.2%CT opening success

0.60Enemies flashed / flash

3.2%Flash assists

9.20HE damage / grenade

8.45Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.3903° — above the 12° mark we flag
Aim Training →
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 13.9843% — below the 15% mark we flag
Aim Training →

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.

38% win rate across 13 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
cache	5–13	-0.03	7%	9 Aug →
nuke	13–11	-0.03	15%	9 Aug →
cache	7–13	0.02	4%	19 Jul →
cache	1–13	-0.08	8%	19 Jul →
mirage	1–13	-0.10	10%	19 Jul →
cache	13–11	-0.03	16%	17 Jul →
inferno	13–11	-0.02	6%	17 Jul →
mirage	13–4	-0.00	24%	11 Jul →
anubis	11–13	-0.04	13%	11 Jul →
nuke	13–5	-0.00	11%	11 Jul →
cache	11–13	-0.07	6%	11 Jul →
ancient	13–6	-0.06	4%	11 Jul →
cache	13–8	0.06	15%	10 Jul →
inferno	13–4	0.01	21%	10 Jul →
nuke	9–13	-0.08	9%	10 Jul →
anubis	5–13	0.04	26%	10 Jul →
cache	13–8	-0.00	11%	9 Jul →
inferno	9–13	0.03	21%	6 Jul →
nuke	13–6	-0.02	10%	5 Jul →
anubis	10–13	0.02	13%	5 Jul →
overpass	6–13	-0.07	19%	4 Jul →
ancient	8–3	-0.03	20%	4 Jul →
inferno	13–8	0.11	16%	4 Jul →
nuke	13–4	-0.05	8%	4 Jul →
nuke	13–11	-0.05	23%	4 Jul →
mirage	14–16	0.01	21%	3 Jul →
nuke	9–13	-0.03	20%	3 Jul →
overpass	6–13	-0.06	8%	3 Jul →
anubis	13–3	0.08	15%	29 Jun →
anubis	10–13	0.00	17%	27 Jun →
overpass	13–7	0.06	12%	27 Jun →
nuke	10–13	0.01	12%	27 Jun →
inferno	4–13	-0.01	17%	26 Jun →
inferno	13–7	0.04	13%	26 Jun →
anubis	10–13	0.07	15%	26 Jun →
ancient	5–13	-0.02	18%	26 Jun →
overpass	3–13	0.06	16%	26 Jun →
dust2	10–13	-0.10	14%	25 Jun →
anubis	13–11	0.02	20%	25 Jun →
inferno	13–11	-0.02	20%	24 Jun →
inferno	13–10	0.07	16%	22 Jun →
inferno	13–1	0.04	18%	22 Jun →
ancient	6–13	-0.08	6%	21 Jun →
inferno	8–13	0.01	9%	21 Jun →
mirage	3–13	-0.02	27%	21 Jun →
nuke	16–14	0.08	14%	21 Jun →
inferno	13–5	0.01	15%	21 Jun →
overpass	13–11	0.04	17%	21 Jun →
mirage	13–5	0.01	11%	21 Jun →
inferno	13–6	0.06	27%	21 Jun →
nuke	13–6	0.10	13%	20 Jun →
mirage	10–13	0.01	11%	20 Jun →
inferno	7–13	-0.02	13%	20 Jun →
cache	13–8	0.04	13%	20 Jun →
cache	6–13	0.01	12%	19 Jun →
nuke	8–13	-0.03	22%	19 Jun →
inferno	0–13	-0.07	7%	19 Jun →
mirage	13–10	0.04	20%	19 Jun →
dust2	6–13	-0.04	16%	18 Jun →
vertigo	13–7	0.06	13%	16 Jun →
anubis	13–9	-0.02	20%	16 Jun →
inferno	8–13	0.03	13%	16 Jun →
overpass	13–4	0.08	17%	16 Jun →
ancient	11–13	0.03	8%	16 Jun →
mirage	16–14	-0.05	19%	16 Jun →
anubis	9–13	-0.01	7%	11 Jun →
vertigo	5–13	-0.03	12%	7 Jun →
ancient	13–7	0.04	2%	7 Jun →
cache	1–13	-0.03	14%	6 Jun →
vertigo	13–11	0.01	10%	6 Jun →
inferno	9–13	0.02	8%	6 Jun →
mirage	7–13	-0.07	22%	4 Jun →
inferno	9–13	0.03	13%	4 Jun →
overpass	5–13	-0.01	17%	4 Jun →
nuke	13–1	0.03	5%	3 Jun →
overpass	2–13	-0.04	7%	3 Jun →
mirage	13–11	-0.00	18%	3 Jun →
inferno	12–16	-0.02	13%	2 Jun →
anubis	11–13	-0.03	13%	1 Jun →
inferno	13–9	0.08	18%	31 May →
nuke	13–8	0.02	14%	31 May →
inferno	13–9	0.02	15%	31 May →
nuke	8–13	-0.04	13%	31 May →
mirage	9–13	0.02	13%	31 May →
nuke	13–8	0.01	20%	30 May →
mirage	9–13	-0.04	9%	30 May →
anubis	11–13	0.03	14%	30 May →
nuke	16–14	0.07	12%	30 May →
inferno	13–9	0.02	16%	29 May →
nuke	13–11	-0.02	7%	29 May →
mirage	6–13	0.02	11%	28 May →
mirage	13–8	-0.04	13%	28 May →
overpass	16–12	0.02	7%	28 May →
anubis	10–3	0.01	22%	28 May →
inferno	13–2	0.02	19%	28 May →
nuke	13–9	-0.01	16%	27 May →
inferno	13–9	-0.00	20%	25 May →
nuke	9–13	0.00	17%	25 May →
anubis	13–8	-0.05	7%	24 May →
nuke	16–14	0.02	10%	23 May →