lil' juicer — CS2 Stats

US76561198267803468[U:1:307537740]Steam profile ↗

1,283Tracked matches52%Win rate2021Tracked since

1,755Hours in CS8Hrs last 2 wks

CSDB Rating5.2 Developing

Premier CS Rating12,520Blue band · top ~41.5% of ranked players (population est.)

CSDB Leaderboard#32113 of 47627 tracked

FaceitLevel 4 · 1,000 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	55.4%	42.7%	44.0%	above
Shot accuracy	8.7%	10.8%	11.6%	2.9% short
Kill/death ratio	1.36	1.00	1.03	above
Match win rate	40.6%	44.1%	45.1%	4.5% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim57

Positioning52

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWLWWLWWLL

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

Player DNA

Aim5.7

Aggression7.1

Utility4.4

Positioning5.2

Opening Duels4.4

Clutch0.0

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 ropz 88% playstyle similarity

Most alike: opening-duel success, 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. 658ms 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

Aim5.7

Positioning5.2

Utility4.4

Mechanics6.8

Opening Duels4.4

Win Impact5.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time660ms−66ms

first ⅓ avg 726ms → last ⅓ avg 660ms

Headshot accuracy15.1%−2.3%

first ⅓ avg 17.4% → last ⅓ avg 15.1%

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

0.09Best rating — anubis 13–11

13–1Biggest win — mirage

5Longest win streak

8–15In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 67% over 18overpassWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	0.01
mirage	A	20	11–9	55%	0.00
ancient	S	18	12–6	67%	0.01
anubis	D	15	5–10	33%	0.00
cache	C	9	4–5	44%	-0.02
nuke	D	6	2–4	33%	-0.02
overpass	D	5	0–5	0%	-0.02
dust2	—	3	0–3	0%	-0.02
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,064Lifetime kills

1.36K/D · Top 10% of Level 4 players

2,313Matches

40.6%Match win rate

55.4%Headshot % · Top 10% of Level 4 players

8.7%Shot accuracy

6,664MVPs

745Hours (in match)

1,664Bombs planted

738Bombs defused

Most-used weapons

AK-4717,879

M4A4 / M4A1-S6,758

P2000 / USP-S5,297

Desert Eagle3,446

FAMAS2,894

MP92,596

Glock-182,426

AWP2,321

Galil AR2,037

MAC-101,405

Lifetime map wins

6,138inferno

2,262vertigo

1,317nuke

733office

217train

187dust2

62lake

54cbble

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

Faceit stats

Combat

8Matches

50%Win rate

0.84Avg K/D

83.4ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

25%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	4	75%	0.91	16.0
Ancient	2	50%	0.93	14.5
Mirage	1	0%	0.93	14.0
Train	1	0%	0.27	4.0

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.

14.8%Headshot accuracy

35.7%Accuracy (enemy spotted)

36.2%Spray accuracy

80.6%Counter-strafing

11.0°Preaim

658msReaction time

48.4%T opening success

47.0%CT opening success

0.48Enemies flashed / flash

4.4%Flash assists

7.83HE damage / grenade

10.28Flashes / 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 14.765% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4765 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	-0.03	12%	26 Aug →
mirage	16–12	0.03	12%	26 Aug →
cache	10–13	-0.10	17%	19 Aug →
inferno	13–5	0.01	14%	19 Aug →
inferno	13–4	0.03	12%	19 Aug →
anubis	11–13	-0.05	17%	18 Aug →
ancient	13–10	-0.06	11%	18 Aug →
ancient	13–5	-0.01	10%	18 Aug →
ancient	10–13	-0.01	18%	12 Aug →
inferno	10–13	0.00	16%	12 Aug →
cache	13–6	0.05	22%	28 Jul →
inferno	13–6	-0.09	15%	28 Jul →
cache	11–13	0.01	9%	22 Jul →
ancient	7–13	0.02	22%	22 Jul →
anubis	13–11	0.09	15%	21 Jul →
cache	13–7	-0.04	21%	15 Jul →
ancient	13–11	-0.01	19%	14 Jul →
inferno	11–13	-0.01	15%	8 Jul →
dust2	4–13	-0.07	22%	8 Jul →
vertigo	13–6	-0.04	16%	8 Jul →
cache	3–13	-0.06	11%	8 Jul →
cache	13–8	0.02	15%	7 Jul →
inferno	13–11	-0.03	18%	7 Jul →
cache	11–13	-0.04	8%	7 Jul →
mirage	7–13	-0.03	21%	3 Jul →
inferno	14–16	-0.10	6%	3 Jul →
mirage	13–9	0.05	13%	3 Jul →
mirage	15–15	-0.03	15%	3 Jul →
inferno	14–16	0.05	13%	3 Jul →
inferno	13–8	-0.00	17%	2 Jul →
anubis	11–13	-0.03	9%	2 Jul →
ancient	13–6	0.03	21%	2 Jul →
mirage	9–13	-0.04	19%	2 Jul →
ancient	13–10	0.04	12%	2 Jul →
overpass	8–13	0.02	20%	2 Jul →
cache	13–7	0.01	14%	1 Jul →
mirage	11–13	-0.07	17%	1 Jul →
inferno	13–11	0.09	19%	30 Jun →
anubis	15–15	0.01	9%	30 Jun →
anubis	13–8	-0.02	20%	30 Jun →
mirage	15–15	-0.01	16%	24 Jun →
ancient	13–5	0.02	11%	24 Jun →
mirage	8–13	-0.04	14%	23 Jun →
anubis	13–11	0.04	14%	23 Jun →
mirage	13–8	-0.00	15%	23 Jun →
mirage	13–10	0.03	13%	17 Jun →
ancient	8–13	-0.01	8%	17 Jun →
ancient	13–10	0.04	12%	16 Jun →
overpass	7–13	-0.05	6%	16 Jun →
nuke	13–9	-0.01	17%	16 Jun →
dust2	14–16	-0.00	15%	15 Jun →
anubis	11–13	-0.02	17%	10 Jun →
inferno	11–13	0.00	22%	3 Jun →
anubis	10–13	0.00	17%	3 Jun →
ancient	6–13	-0.04	14%	3 Jun →
inferno	13–7	0.05	13%	2 Jun →
mirage	13–11	-0.05	8%	2 Jun →
ancient	13–2	0.01	11%	27 May →
anubis	10–13	0.00	16%	27 May →
anubis	9–13	0.01	15%	26 May →
mirage	3–13	-0.03	7%	26 May →
ancient	7–13	-0.02	21%	20 May →
inferno	14–16	0.02	17%	20 May →
inferno	8–13	0.03	13%	20 May →
inferno	13–9	0.04	17%	19 May →
inferno	15–15	0.00	14%	19 May →
ancient	13–4	0.09	13%	19 May →
mirage	13–10	0.08	12%	16 May →
mirage	13–1	0.04	8%	16 May →
mirage	13–11	0.01	15%	12 May →
anubis	13–7	0.02	19%	12 May →
inferno	8–13	0.00	19%	6 May →
mirage	13–6	-0.03	34%	6 May →
inferno	14–16	0.00	13%	5 May →
ancient	13–4	0.08	24%	3 May →
mirage	9–13	0.04	16%	3 May →
cache	3–13	-0.07	13%	2 May →
nuke	13–4	-0.02	13%	2 May →
mirage	16–13	0.06	10%	2 May →
overpass	8–13	-0.00	11%	29 Apr →
overpass	6–13	-0.07	15%	28 Apr →
overpass	15–15	0.02	12%	28 Apr →
anubis	16–14	0.01	17%	22 Apr →
ancient	13–10	0.05	19%	22 Apr →
ancient	13–8	-0.06	17%	22 Apr →
inferno	13–7	-0.02	18%	15 Apr →
anubis	15–15	-0.01	25%	15 Apr →
inferno	13–8	0.03	17%	14 Apr →
nuke	9–13	-0.01	18%	14 Apr →
inferno	13–1	-0.04	23%	14 Apr →
dust2	11–13	0.00	18%	12 Apr →
nuke	8–13	-0.03	35%	7 Apr →
ancient	10–13	0.02	17%	7 Apr →
anubis	10–13	-0.04	18%	7 Apr →
inferno	13–3	0.07	21%	5 Apr →
nuke	6–13	0.02	15%	4 Apr →
mirage	9–13	0.04	10%	3 Apr →
nuke	9–13	-0.03	16%	3 Apr →
mirage	13–7	0.04	28%	3 Apr →
anubis	11–13	0.02	9%	1 Apr →