JUstICEY — CS2 Stats

RU76561199658425680[U:1:1698159952]Steam profile ↗✓ No bans

1,499Tracked matches73%Win rate2024Tracked since

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating29,999Top 1% of 17,162 CSDB-tracked playersRed band · top ~0.6% of ranked players (population est.)

CSDB Leaderboard#104 of 26987 tracked

FaceitLevel 9 · 1,727 ELOTop 20.7% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim83

Positioning66

Utility58

0–100 skill scores via Leetify.

Recent form

HOT66–28–6Last 10066%Win rateWWWWWLWLWW

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.3

Aggression10.0

Utility5.8

Positioning6.6

Opening Duels4.9

Clutch4.8

Strong CT-side opener

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 donk 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning6.6

Utility5.8

Mechanics6.8

Opening Duels4.9

Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time522ms−51ms

first ⅓ avg 573ms → last ⅓ avg 522ms

Headshot accuracy23.6%+3.8%

first ⅓ avg 19.8% → last ⅓ avg 23.6%

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

0.24Best rating — eldorado 9–4

13–0Biggest win — dust2

13Longest win streak

W5Current streak

10–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 80% over 10cacheWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	23–13	64%	0.01
mirage	A	14	8–6	57%	0.01
anubis	S	12	8–4	67%	0.03
ancient	S	10	8–2	80%	0.01
cache	C	7	3–4	43%	0.04
inferno	S	7	5–2	71%	0.06
nuke	A	5	3–2	60%	0.00
vertigo	—	3	3–0	100%	0.07
office	—	2	1–1	50%	-0.02
train	—	2	2–0	100%	0.13
eldorado	—	1	1–0	100%	0.24
overpass	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

76Matches

71%Win rate

1.48Avg K/D

102.5ADR

47%Headshot %

Clutches & streaks

44%1v1 clutch win

32%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	61%	1.30	20.6
Dust2	20	70%	1.45	19.8
Anubis	11	91%	1.89	23.6
Ancient	8	75%	1.55	19.3
Inferno	4	100%	1.49	17.3
Nuke	3	33%	1.59	22.0
Train	1	100%	2.23	29.0
Overpass	1	100%	1.31	21.0

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.

22.9%Headshot accuracy

36.5%Accuracy (enemy spotted)

37.8%Spray accuracy

80.7%Counter-strafing

9.8°Preaim

521msReaction time

35.5%T opening success

64.0%CT opening success

0.64Enemies flashed / flash

7.0%Flash assists

9.51HE damage / grenade

9.35Flashes / 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
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 35.4711% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–4	-0.02	24%	28 Aug →
dust2	13–9	0.07	27%	28 Aug →
dust2	16–13	-0.02	16%	28 Aug →
ancient	13–10	0.02	36%	27 Aug →
nuke	9–0	-0.10	50%	27 Aug →
cache	5–13	-0.07	26%	26 Aug →
dust2	16–13	0.01	14%	25 Aug →
anubis	6–13	-0.01	20%	24 Aug →
ancient	13–10	0.04	18%	23 Aug →
mirage	16–14	0.02	30%	21 Aug →
dust2	13–5	0.04	16%	21 Aug →
dust2	13–8	0.09	22%	21 Aug →
dust2	13–10	0.06	28%	21 Aug →
anubis	13–3	0.05	22%	21 Aug →
dust2	13–0	0.02	17%	21 Aug →
inferno	12–12	0.06	21%	20 Aug →
dust2	12–12	0.10	38%	20 Aug →
mirage	14–16	0.01	20%	20 Aug →
anubis	13–6	-0.01	14%	20 Aug →
dust2	13–5	-0.03	12%	19 Aug →
anubis	13–9	0.10	16%	19 Aug →
nuke	7–2	0.01	33%	19 Aug →
cache	12–12	0.06	19%	19 Aug →
nuke	7–13	-0.05	25%	18 Aug →
nuke	7–13	0.13	30%	16 Aug →
office	6–13	-0.00	20%	16 Aug →
mirage	13–8	-0.02	15%	15 Aug →
dust2	12–12	0.06	27%	15 Aug →
train	13–8	0.13	31%	14 Aug →
mirage	4–13	-0.05	17%	14 Aug →
mirage	13–5	0.06	24%	14 Aug →
anubis	13–8	-0.00	22%	14 Aug →
dust2	13–16	-0.02	29%	12 Aug →
train	13–4	0.13	30%	12 Aug →
anubis	13–8	0.13	28%	12 Aug →
mirage	13–8	0.02	18%	11 Aug →
ancient	13–7	0.03	18%	10 Aug →
nuke	13–4	0.03	15%	10 Aug →
dust2	13–6	-0.02	18%	9 Aug →
eldorado	9–4	0.24	22%	9 Aug →
dust2	3–13	-0.07	12%	8 Aug →
mirage	0–13	-0.10	100%	8 Aug →
ancient	13–11	-0.01	21%	7 Aug →
dust2	13–5	0.03	16%	5 Aug →
dust2	11–13	-0.03	27%	5 Aug →
vertigo	13–11	0.05	23%	31 Jul →
vertigo	13–3	0.15	31%	31 Jul →
inferno	5–13	0.08	23%	30 Jul →
mirage	0–7	-0.04	16%	30 Jul →
cache	11–13	0.01	28%	29 Jul →
dust2	5–13	-0.04	29%	29 Jul →
inferno	13–9	0.02	19%	29 Jul →
anubis	9–13	-0.01	15%	29 Jul →
dust2	13–11	0.01	23%	29 Jul →
dust2	2–13	-0.05	38%	28 Jul →
mirage	13–8	0.04	12%	28 Jul →
dust2	13–10	0.02	21%	28 Jul →
mirage	13–7	0.05	23%	28 Jul →
dust2	9–13	-0.02	32%	28 Jul →
anubis	11–13	-0.05	21%	28 Jul →
mirage	13–0	0.14	40%	28 Jul →
inferno	9–0	0.06	18%	28 Jul →
mirage	11–13	0.00	17%	28 Jul →
anubis	4–10	-0.09	8%	27 Jul →
ancient	13–4	0.09	26%	27 Jul →
cache	13–10	0.08	18%	27 Jul →
ancient	9–13	0.01	26%	27 Jul →
dust2	10–13	-0.04	15%	27 Jul →
dust2	13–4	0.04	19%	27 Jul →
mirage	13–9	-0.02	39%	27 Jul →
cache	5–13	0.06	16%	26 Jul →
inferno	13–7	0.06	23%	24 Jul →
mirage	8–13	0.07	16%	23 Jul →
anubis	13–6	0.19	13%	23 Jul →
vertigo	13–2	0.01	27%	23 Jul →
inferno	13–7	0.04	19%	23 Jul →
ancient	13–5	-0.01	17%	23 Jul →
dust2	13–7	-0.00	20%	21 Jul →
dust2	13–7	-0.04	21%	21 Jul →
overpass	13–11	-0.02	17%	21 Jul →
cache	13–11	0.13	13%	21 Jul →
dust2	13–7	0.03	19%	21 Jul →
office	13–4	-0.04	21%	20 Jul →
dust2	13–7	0.04	29%	20 Jul →
ancient	13–11	-0.06	16%	20 Jul →
dust2	13–11	0.00	23%	20 Jul →
dust2	0–13	-0.07	30%	20 Jul →
dust2	15–15	0.01	28%	20 Jul →
inferno	13–5	0.07	14%	20 Jul →
anubis	13–7	0.05	17%	19 Jul →
dust2	13–10	0.04	19%	19 Jul →
dust2	3–13	-0.02	20%	19 Jul →
dust2	0–13	-0.09	0%	18 Jul →
dust2	13–3	0.17	33%	18 Jul →
ancient	16–14	0.01	10%	17 Jul →
dust2	13–5	0.10	17%	17 Jul →
anubis	13–11	0.02	24%	17 Jul →
dust2	13–10	0.01	21%	17 Jul →
ancient	12–12	0.00	19%	17 Jul →
dust2	13–10	-0.04	20%	16 Jul →