Juice — CS2 Stats

76561198056121740[U:1:95856012]✓ No bans

706Tracked matches52%Win rate2020Tracked since

3,832Hours in CS14Hrs last 2 wks

CSDB Rating7.3 StrongEntry Fragger

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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	50.6%	42.5%	44.2%	above
Shot accuracy	15.2%	10.9%	11.2%	above
Kill/death ratio	1.33	0.99	1.04	above
Match win rate	46.1%	44.2%	45.3%	meets

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim88

Positioning78

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateWWLWLWTLWL

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.8

Aggression10.0

Utility5.7

Positioning7.8

Opening Duels6.4

Sharp aimer

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 s1mple 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8

Positioning7.8

Utility5.7

Mechanics7.3

Opening Duels6.4

Win Impact5.6

Composite 7.3/10 (Strong), 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 rating0.06+0.01

first ⅓ avg 0.05 → last ⅓ avg 0.06

Reaction time501ms−57ms

first ⅓ avg 559ms → last ⅓ avg 501ms

Headshot accuracy17.8%−1.0%

first ⅓ avg 18.8% → last ⅓ avg 17.8%

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

0.21Best rating — vertigo 10–8

13–0Biggest win — inferno

4Longest win streak

W2Current streak

6–12In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 10ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	17	4–13	24%	0.03
anubis	B	16	8–8	50%	0.07
dust2	C	15	6–9	40%	0.05
vertigo	B	13	6–7	46%	0.06
mirage	C	12	5–7	42%	0.06
train	S	10	8–2	80%	0.07
ancient	D	9	2–7	22%	0.04
inferno	A	7	4–3	57%	0.06
nuke	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,966Lifetime kills

1.33K/D · Top 10% of Level 4 players

4,445Matches

46.1%Match win rate · Top 50% of Level 4 players

50.6%Headshot % · Top 25% of Level 4 players

15.2%Shot accuracy · Top 25% of Level 4 players

13,168MVPs

1,917Hours (in match)

4,793Bombs planted

1,254Bombs defused

Most-used weapons

AK-4745,471

M4A4 / M4A1-S29,038

AWP11,897

P2000 / USP-S9,256

Desert Eagle5,160

Glock-184,522

P2504,051

FAMAS2,627

Tec-92,143

P901,926

Lifetime map wins

16,128dust2

6,626inferno

1,458nuke

1,442train

980vertigo

463cbble

152office

59lake

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

Faceit stats

Combat

36Matches

47%Win rate

1.29Avg K/D

—ADR

51%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	1.56	25.0
Vertigo	1	100%	1.32	29.0
Inferno	1	0%	0.94	16.0
Nuke	1	0%	0.81	13.0

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.

18.2%Headshot accuracy

39.5%Accuracy (enemy spotted)

38.1%Spray accuracy

82.7%Counter-strafing

7.9°Preaim

500msReaction time

48.5%T opening success

62.3%CT opening success

0.51Enemies flashed / flash

3.5%Flash assists

10.41HE damage / grenade

11.81Flashes / match

Recommended for you

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.

22% win rate across 9 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
mirage	13–9	0.10	33%	22 Aug →
cache	13–10	0.02	17%	22 Aug →
vertigo	10–8	0.21	20%	22 Aug →
train	13–5	0.11	27%	22 Aug →
train	11–13	0.02	11%	19 Aug →
anubis	13–7	0.07	16%	19 Aug →
cache	12–12	0.07	22%	19 Aug →
vertigo	10–13	0.09	9%	18 Aug →
train	13–6	0.05	25%	18 Aug →
cache	11–13	-0.03	12%	18 Aug →
anubis	13–2	0.15	8%	18 Aug →
inferno	8–13	0.09	18%	17 Aug →
anubis	8–13	0.05	29%	17 Aug →
train	13–3	0.03	13%	17 Aug →
anubis	11–13	0.20	14%	17 Aug →
cache	4–13	0.01	11%	16 Aug →
anubis	13–10	0.13	16%	16 Aug →
anubis	13–11	0.06	21%	16 Aug →
dust2	12–12	0.06	19%	16 Aug →
mirage	6–13	0.10	15%	15 Aug →
anubis	8–13	0.04	17%	15 Aug →
inferno	13–0	0.11	10%	15 Aug →
cache	1–9	-0.04	27%	15 Aug →
inferno	13–11	0.11	23%	14 Aug →
dust2	13–6	0.07	25%	14 Aug →
mirage	13–4	0.08	24%	12 Aug →
cache	4–13	-0.06	9%	12 Aug →
anubis	12–12	0.01	13%	11 Aug →
vertigo	13–7	0.04	15%	10 Aug →
cache	3–13	0.00	32%	10 Aug →
ancient	10–13	0.06	10%	10 Aug →
nuke	12–12	0.02	12%	10 Aug →
anubis	11–13	0.06	17%	9 Aug →
mirage	9–13	0.00	14%	7 Aug →
dust2	13–7	0.08	14%	7 Aug →
ancient	13–8	0.09	16%	7 Aug →
dust2	11–13	-0.01	22%	6 Aug →
vertigo	10–13	0.11	20%	6 Aug →
mirage	13–6	0.04	18%	6 Aug →
inferno	13–7	0.01	17%	6 Aug →
cache	10–13	0.07	18%	5 Aug →
vertigo	13–9	0.04	20%	5 Aug →
mirage	9–13	-0.01	13%	5 Aug →
vertigo	8–13	-0.02	16%	4 Aug →
train	11–13	0.04	14%	4 Aug →
cache	13–11	0.14	17%	3 Aug →
anubis	10–13	0.08	19%	1 Aug →
ancient	8–13	0.06	13%	1 Aug →
cache	12–12	0.09	14%	1 Aug →
vertigo	13–9	0.02	16%	1 Aug →
dust2	7–13	-0.04	9%	31 Jul →
mirage	9–5	0.17	23%	31 Jul →
vertigo	9–13	0.05	16%	31 Jul →
dust2	11–13	0.06	18%	29 Jul →
vertigo	13–7	0.09	10%	29 Jul →
cache	11–13	0.02	22%	29 Jul →
dust2	11–13	0.06	23%	27 Jul →
cache	10–13	-0.00	16%	27 Jul →
ancient	8–13	0.05	13%	27 Jul →
anubis	13–4	0.13	19%	26 Jul →
dust2	13–9	0.08	19%	26 Jul →
train	13–11	0.02	14%	26 Jul →
inferno	4–13	-0.04	23%	26 Jul →
inferno	5–13	0.09	12%	25 Jul →
dust2	13–7	0.07	19%	25 Jul →
anubis	4–13	0.03	16%	24 Jul →
ancient	3–13	-0.03	23%	24 Jul →
dust2	7–13	0.05	27%	24 Jul →
ancient	9–13	0.05	16%	24 Jul →
mirage	12–12	0.01	36%	24 Jul →
train	13–1	0.10	18%	24 Jul →
anubis	13–11	0.04	9%	24 Jul →
mirage	13–7	0.17	20%	24 Jul →
vertigo	13–9	0.06	19%	23 Jul →
dust2	12–12	0.02	28%	23 Jul →
mirage	9–13	0.02	18%	22 Jul →
ancient	4–13	0.02	8%	21 Jul →
vertigo	13–6	0.04	10%	21 Jul →
dust2	13–9	0.09	22%	20 Jul →
cache	12–12	0.07	26%	19 Jul →
anubis	13–11	0.03	14%	19 Jul →
cache	3–13	-0.04	31%	19 Jul →
ancient	12–12	0.04	16%	18 Jul →
train	13–7	0.17	23%	18 Jul →
vertigo	9–13	0.00	10%	18 Jul →
train	13–3	0.05	16%	18 Jul →
cache	3–13	-0.03	21%	18 Jul →
dust2	11–13	0.09	15%	17 Jul →
anubis	1–13	-0.05	13%	17 Jul →
dust2	2–13	-0.02	19%	17 Jul →
mirage	6–13	0.03	28%	17 Jul →
cache	13–5	0.07	27%	17 Jul →
ancient	13–10	0.03	9%	17 Jul →
mirage	11–13	0.05	14%	16 Jul →
inferno	13–5	0.09	22%	15 Jul →
dust2	13–9	0.07	15%	15 Jul →
vertigo	6–13	-0.01	21%	15 Jul →
train	13–1	0.11	17%	15 Jul →
cache	13–1	0.08	20%	15 Jul →
anubis	13–4	0.13	13%	15 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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