Jooxie — CS2 Stats

76561198113809459[U:1:153543731]Steam profile ↗

1,655Tracked matches59%Win rate2020Tracked since

2,764Hours in CS1Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim61

Positioning50

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWTWLWLWWL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression5.0

Utility5.0

Positioning5.0

Opening Duels1.5

Clutch4.6

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 NiKo 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim6.1

Positioning5.0

Utility5.0

Mechanics7.1

Opening Duels2.0

Win Impact8.1

Composite 5.7/10 (Solid), 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+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time603ms−31ms

first ⅓ avg 633ms → last ⅓ avg 603ms

Headshot accuracy15.5%+1.7%

first ⅓ avg 13.8% → last ⅓ avg 15.5%

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 13–8

13–3Biggest win — nuke

5Longest win streak

10–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 71% over 17infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	9–10	47%	-0.03
cache	B	17	9–8	53%	0.00
nuke	S	17	12–5	71%	-0.01
anubis	A	16	9–7	56%	0.00
inferno	D	13	4–9	31%	-0.03
overpass	S	9	6–3	67%	-0.00
mirage	—	3	2–1	67%	0.01
dust2	—	2	0–2	0%	-0.06
poseidon	—	1	1–0	100%	0.03
warden	—	1	1–0	100%	0.09
vertigo	—	1	0–1	0%	0.02
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,331Lifetime kills

0.97K/D

4,161Matches

42.0%Match win rate

41.1%Headshot %

13.4%Shot accuracy · Top 50% of tracked players

9,870MVPs

1,814Hours (in match)

4,620Bombs planted

1,609Bombs defused

Most-used weapons

AK-4733,455

M4A4 / M4A1-S19,511

AWP7,841

P2000 / USP-S3,392

Glock-182,223

P2501,985

Desert Eagle1,863

Galil AR1,740

FAMAS1,499

Knife965

Lifetime map wins

8,407dust2

3,805inferno

3,237vertigo

3,005nuke

1,013train

268cbble

134lake

131office

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

Faceit stats

Combat

582Matches

49%Win rate

0.90Avg K/D

65.8ADR

37%Headshot %

Clutches & streaks

43%1v1 clutch win

12%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	50	44%	0.87	12.5
Nuke	49	47%	1.02	13.3
Ancient	48	50%	0.88	13.4
Anubis	46	57%	0.85	14.0
Vertigo	42	67%	1.03	14.3
Mirage	33	52%	0.95	13.1
Inferno	18	39%	0.85	13.4
Cache	14	36%	0.91	12.7

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.

15.8%Headshot accuracy

30.7%Accuracy (enemy spotted)

35.8%Spray accuracy

82.1%Counter-strafing

9.5°Preaim

607msReaction time

26.1%T opening success

45.7%CT opening success

0.49Enemies flashed / flash

7.6%Flash assists

7.81HE damage / grenade

11.64Flashes / 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.

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 0.4855 — below the 0.5 mark we flag
Grenade Lineups →
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 26.0551% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.02	17%	19 Aug →
cache	13–5	0.06	8%	19 Aug →
dust2	12–12	-0.05	11%	10 Aug →
ancient	16–14	-0.02	17%	1 Aug →
dust2	8–13	-0.06	19%	25 Jul →
cache	13–10	0.05	15%	18 Jul →
ancient	9–13	-0.07	22%	18 Jul →
cache	13–9	-0.03	7%	17 Jul →
anubis	13–6	-0.02	18%	17 Jul →
cache	2–13	0.01	9%	14 Jul →
ancient	13–6	-0.02	16%	14 Jul →
nuke	13–10	0.02	16%	9 Jul →
nuke	13–9	-0.07	15%	19 Jun →
ancient	3–1	-0.09	0%	19 Jun →
cache	10–13	0.02	20%	17 Jun →
ancient	13–4	-0.04	13%	17 Jun →
overpass	10–13	-0.02	19%	14 Jun →
ancient	13–8	-0.04	13%	14 Jun →
nuke	13–6	0.01	22%	9 Jun →
overpass	13–7	-0.02	18%	9 Jun →
anubis	3–13	-0.01	16%	2 Jun →
cache	9–13	-0.08	8%	2 Jun →
ancient	7–13	-0.05	6%	31 May →
overpass	13–5	0.07	24%	31 May →
inferno	9–13	-0.04	27%	31 May →
cache	11–13	-0.08	11%	31 May →
cache	13–7	0.01	20%	18 May →
cache	12–12	-0.02	16%	18 May →
anubis	13–8	0.09	18%	13 May →
cache	12–12	0.05	19%	13 May →
cache	13–6	-0.05	15%	11 May →
cache	13–10	0.04	24%	11 May →
cache	13–11	0.02	15%	9 May →
cache	13–6	-0.01	13%	9 May →
cache	13–8	0.05	22%	3 May →
cache	5–13	-0.05	12%	3 May →
cache	8–12	0.01	18%	1 May →
ancient	7–13	-0.05	19%	28 Apr →
nuke	13–8	0.03	13%	26 Apr →
anubis	13–9	0.01	16%	26 Apr →
inferno	13–11	-0.03	16%	25 Apr →
overpass	13–4	0.02	5%	25 Apr →
ancient	11–13	-0.08	17%	22 Apr →
anubis	13–6	0.01	14%	22 Apr →
anubis	13–16	-0.05	12%	15 Apr →
anubis	13–11	-0.01	9%	15 Apr →
nuke	10–13	-0.04	13%	14 Apr →
inferno	10–13	-0.04	18%	9 Apr →
inferno	9–13	0.01	11%	5 Apr →
nuke	8–13	-0.00	16%	5 Apr →
ancient	5–13	-0.05	11%	3 Apr →
overpass	13–10	0.05	17%	3 Apr →
ancient	7–13	0.01	21%	2 Apr →
overpass	7–13	-0.02	17%	2 Apr →
nuke	13–3	0.00	10%	1 Apr →
anubis	6–13	-0.05	12%	1 Apr →
mirage	13–8	0.02	12%	1 Apr →
nuke	9–13	-0.06	17%	29 Mar →
inferno	7–13	-0.04	15%	26 Mar →
inferno	13–9	0.06	15%	26 Mar →
inferno	10–13	0.01	22%	18 Mar →
anubis	16–14	0.02	20%	10 Mar →
ancient	13–8	-0.03	10%	10 Mar →
poseidon	9–7	0.03	14%	10 Mar →
anubis	13–11	0.00	9%	9 Mar →
warden	13–8	0.09	18%	9 Mar →
inferno	3–13	-0.03	17%	4 Mar →
overpass	16–14	-0.05	8%	3 Mar →
ancient	7–13	-0.04	10%	3 Mar →
nuke	13–5	-0.01	11%	2 Mar →
anubis	15–15	-0.03	12%	2 Mar →
inferno	13–6	-0.02	19%	1 Mar →
ancient	13–10	-0.03	22%	17 Feb →
nuke	13–8	-0.02	7%	14 Feb →
anubis	4–13	0.04	16%	13 Feb →
ancient	13–10	-0.07	12%	13 Feb →
overpass	10–13	-0.07	2%	10 Feb →
inferno	10–13	-0.07	13%	2 Feb →
overpass	13–8	-0.00	6%	2 Feb →
inferno	3–13	-0.07	3%	30 Jan →
ancient	11–13	-0.02	10%	30 Jan →
nuke	13–3	0.02	13%	30 Jan →
nuke	13–6	0.01	26%	27 Jan →
anubis	13–10	0.02	12%	27 Jan →
anubis	13–10	0.02	16%	27 Jan →
nuke	7–13	-0.03	14%	24 Jan →
anubis	6–13	-0.05	22%	24 Jan →
ancient	4–13	-0.02	9%	24 Jan →
anubis	8–13	-0.01	13%	20 Jan →
vertigo	11–13	0.02	21%	19 Jan →
nuke	13–9	-0.04	26%	19 Jan →
mirage	13–9	0.06	4%	19 Jan →
nuke	15–15	-0.05	16%	18 Jan →
ancient	13–8	0.07	28%	18 Jan →
train	13–11	-0.04	12%	12 Jan →
nuke	13–6	-0.02	11%	12 Jan →
mirage	2–13	-0.05	4%	11 Jan →
nuke	13–6	0.01	24%	2 Jan →
ancient	11–13	-0.03	14%	9 Dec →
inferno	13–10	-0.06	21%	9 Dec →