LilDip — CS2 Stats

US76561198160795021[U:1:200529293]Steam profile ↗✓ No bans

604Tracked matches39%Win rate2022Tracked since

633Hours in CS4Hrs last 2 wks

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim50

Positioning52

Utility36

0–100 skill scores via Leetify.

Recent form

COLD38–50–12Last 10038%Win rateLTLWLTLWLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim5.0

Aggression4.3

Utility3.6

Positioning5.2

Opening Duels0.6

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 77% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.0

Positioning5.2

Utility3.6

Mechanics4.4

Opening Duels0.6

Win Impact1.4

Composite 3.9/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time606ms−65ms

first ⅓ avg 671ms → last ⅓ avg 606ms

Headshot accuracy14.2%−3.8%

first ⅓ avg 18.0% → last ⅓ avg 14.2%

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

0.16Best rating — anubis 13–3

13–1Biggest win — cache

4Longest win streak

5–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 57% over 23ancientWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	23	13–10	57%	-0.03
nuke	D	12	3–9	25%	-0.01
mirage	B	10	5–5	50%	-0.04
anubis	D	8	2–6	25%	0.02
ancient	D	8	1–7	13%	-0.04
office	D	8	2–6	25%	-0.04
inferno	C	7	3–4	43%	-0.02
dust2	D	7	2–5	29%	-0.02
vertigo	D	6	2–4	33%	-0.04
train	B	6	3–3	50%	0.02
poseidon	—	1	0–1	0%	-0.02
fachwerk	—	1	0–1	0%	-0.02
boulder	—	1	1–0	100%	0.09
overpass	—	1	0–1	0%	-0.03
alpine	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,367Lifetime kills

0.86K/D

976Matches

39.8%Match win rate

36.5%Headshot %

7.8%Shot accuracy

1,484MVPs

308Hours (in match)

1,042Bombs planted

188Bombs defused

Most-used weapons

AK-473,555

M4A4 / M4A1-S2,841

AWP1,335

P2000 / USP-S953

Glock-18710

Negev475

XM1014439

P250356

FAMAS314

Desert Eagle310

Lifetime map wins

1,275vertigo

982inferno

962nuke

304dust2

223office

201train

24ar_shoots

16ar_baggage

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

Faceit stats

Combat

1Matches

100%Win rate

1.07Avg K/D

—ADR

13%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

14.3%Headshot accuracy

34.2%Accuracy (enemy spotted)

41.9%Spray accuracy

69.8%Counter-strafing

12.1°Preaim

615msReaction time

33.8%T opening success

31.2%CT opening success

0.62Enemies flashed / flash

9.8%Flash assists

7.71HE damage / grenade

4.07Flashes / 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 12.1031° — 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 14.258% — below the 15% mark we flag
Aim Training →

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	-0.05	19%	24 Aug →
vertigo	12–12	-0.03	11%	17 Aug →
poseidon	4–9	-0.02	21%	17 Aug →
train	13–9	0.06	15%	17 Aug →
train	11–13	0.00	18%	17 Aug →
anubis	12–12	0.07	9%	10 Aug →
ancient	3–13	-0.08	17%	10 Aug →
train	13–7	0.06	17%	10 Aug →
ancient	7–13	-0.06	13%	10 Aug →
vertigo	13–11	-0.06	8%	30 Jul →
vertigo	12–12	-0.04	16%	29 Jul →
anubis	10–13	-0.01	17%	23 Jul →
anubis	3–13	-0.06	16%	22 Jul →
anubis	13–11	0.04	9%	22 Jul →
office	2–13	-0.02	0%	20 Jul →
nuke	12–12	-0.02	9%	20 Jul →
cache	13–8	-0.06	9%	16 Jul →
nuke	13–11	-0.01	14%	16 Jul →
mirage	9–13	-0.04	9%	16 Jul →
inferno	13–7	0.07	11%	16 Jul →
nuke	11–13	0.04	22%	14 Jul →
fachwerk	12–12	-0.02	25%	9 Jul →
boulder	13–5	0.09	15%	9 Jul →
office	12–12	-0.08	12%	8 Jul →
office	5–13	-0.08	0%	8 Jul →
dust2	10–13	-0.02	10%	7 Jul →
cache	11–13	-0.03	25%	6 Jul →
cache	13–4	-0.01	35%	6 Jul →
ancient	6–13	-0.06	13%	4 Jul →
mirage	12–12	-0.04	15%	4 Jul →
vertigo	9–13	-0.06	12%	3 Jul →
inferno	12–12	-0.06	13%	3 Jul →
cache	13–10	0.02	13%	2 Jul →
cache	3–13	-0.04	17%	2 Jul →
cache	13–7	-0.02	7%	1 Jul →
cache	13–7	-0.05	9%	1 Jul →
office	13–7	-0.04	11%	1 Jul →
cache	13–6	0.05	9%	30 Jun →
ancient	8–13	0.01	13%	30 Jun →
mirage	5–13	-0.15	0%	25 Jun →
mirage	13–10	-0.02	8%	25 Jun →
inferno	13–10	0.03	8%	24 Jun →
vertigo	3–13	-0.06	4%	24 Jun →
train	6–13	-0.03	17%	24 Jun →
train	12–12	0.01	8%	23 Jun →
nuke	13–8	-0.01	14%	23 Jun →
cache	4–13	-0.07	26%	23 Jun →
cache	13–7	-0.03	21%	23 Jun →
anubis	14–16	0.03	17%	19 Jun →
nuke	13–2	0.03	11%	19 Jun →
nuke	6–13	-0.03	7%	18 Jun →
nuke	7–13	-0.03	9%	18 Jun →
mirage	6–13	-0.07	15%	18 Jun →
anubis	13–3	0.16	14%	18 Jun →
mirage	13–7	0.06	11%	18 Jun →
anubis	10–13	0.00	11%	17 Jun →
dust2	7–13	-0.03	21%	17 Jun →
anubis	10–13	-0.03	12%	16 Jun →
dust2	7–13	-0.02	25%	16 Jun →
ancient	13–9	-0.04	2%	11 Jun →
nuke	11–13	0.06	16%	11 Jun →
mirage	3–13	-0.05	11%	11 Jun →
train	13–10	0.00	15%	10 Jun →
dust2	13–6	-0.04	9%	10 Jun →
ancient	8–13	-0.07	13%	8 Jun →
mirage	13–9	-0.01	5%	8 Jun →
inferno	4–13	-0.06	10%	8 Jun →
ancient	10–13	-0.02	7%	8 Jun →
vertigo	13–11	0.01	4%	3 Jun →
nuke	7–13	-0.02	14%	3 Jun →
dust2	12–12	-0.05	21%	30 May →
ancient	4–13	0.00	24%	27 May →
cache	2–13	0.01	30%	27 May →
overpass	4–13	-0.03	7%	26 May →
nuke	12–12	-0.04	7%	26 May →
nuke	4–13	-0.02	26%	25 May →
dust2	13–4	0.01	21%	25 May →
cache	13–9	-0.02	11%	22 May →
inferno	9–13	-0.04	35%	22 May →
nuke	6–13	-0.04	9%	22 May →
cache	6–13	-0.05	10%	19 May →
cache	13–10	0.04	28%	19 May →
mirage	16–13	-0.02	17%	18 May →
cache	13–9	-0.01	20%	18 May →
dust2	12–16	0.00	20%	17 May →
inferno	9–13	-0.06	20%	16 May →
inferno	8–0	0.00	14%	15 May →
mirage	13–11	-0.04	14%	15 May →
cache	1–11	-0.11	10%	14 May →
office	10–13	-0.01	30%	14 May →
office	6–13	-0.04	13%	13 May →
office	13–9	-0.02	50%	13 May →
office	12–12	-0.01	23%	13 May →
cache	13–7	-0.08	11%	8 May →
alpine	13–8	-0.02	6%	7 May →
cache	7–13	0.01	26%	6 May →
cache	8–13	-0.03	21%	2 May →
cache	13–8	-0.02	12%	2 May →
cache	13–1	-0.05	33%	2 May →
cache	4–13	-0.11	0%	29 Apr →