JB jitter VMAX 💊 — CS2 Stats

US76561198045161385[U:1:84895657]Steam profile ↗✓ No bans

1,614Tracked matches54%Win rate2020Tracked since

3,113Hours in CS50Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating16,111Purple band · top ~24% of ranked players (population est.)

CSDB Leaderboard#18100 of 30912 tracked

FaceitLevel 8 · 1,422 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	40.5%	47.2%	49.0%	8.5% short
Shot accuracy	9.6%	12.3%	13.1%	3.5% short
Kill/death ratio	1.02	1.07	1.08	0.06 short
Match win rate	45.1%	46.3%	46.9%	1.8% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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

Aim82

Positioning66

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWLLWWLWLW

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

Player DNA

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

Aim8.2

Aggression9.4

Utility6.8

Positioning6.6

Opening Duels4.4

Clutch3.8

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 ZywOo 95% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.2

Positioning6.6

Utility6.8

Mechanics6.2

Opening Duels4.4

Win Impact6.2

Composite 6.8/10 (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 rating0.03+0.03

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time514ms−26ms

first ⅓ avg 540ms → last ⅓ avg 514ms

Headshot accuracy18.7%−1.3%

first ⅓ avg 20.0% → last ⅓ avg 18.7%

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

0.19Best rating — ancient 12–0

13–1Biggest win — inferno

6Longest win streak

4–1In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 71% over 14anubisWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	12–12	50%	0.01
anubis	C	15	6–9	40%	0.01
cache	C	14	6–8	43%	0.02
ancient	S	14	10–4	71%	0.04
nuke	B	11	5–6	45%	0.01
vertigo	S	6	4–2	67%	0.03
dust2	A	5	3–2	60%	0.03
train	A	5	3–2	60%	0.03
fachwerk	—	3	1–2	33%	-0.02
overpass	—	2	0–2	0%	-0.07
mirage	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,404Lifetime kills

1.02K/D

4,568Matches

45.1%Match win rate

40.5%Headshot %

9.6%Shot accuracy

10,150MVPs

1,848Hours (in match)

4,706Bombs planted

1,025Bombs defused

Most-used weapons

AK-4729,417

M4A4 / M4A1-S16,320

AWP4,486

P2000 / USP-S3,257

Tec-93,084

Desert Eagle2,699

Glock-182,690

MP92,230

XM10142,073

P2501,786

Lifetime map wins

10,759inferno

5,244nuke

4,697dust2

2,727vertigo

1,059train

332cbble

243office

220italy

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

Faceit stats

Combat

517Matches

52%Win rate

1.02Avg K/D

78.7ADR

43%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	99	48%	0.94	15.1
Mirage	80	52%	1.00	14.4
Ancient	76	46%	0.94	15.8
Anubis	62	60%	0.96	14.9
Nuke	55	56%	1.08	15.0
Dust2	49	47%	0.92	14.7
Vertigo	42	52%	0.89	14.3
Overpass	17	53%	1.13	15.9

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.

19.4%Headshot accuracy

38.4%Accuracy (enemy spotted)

44.2%Spray accuracy

78.1%Counter-strafing

10.8°Preaim

522msReaction time

50.1%T opening success

44.9%CT opening success

0.51Enemies flashed / flash

11.3%Flash assists

9.12HE damage / grenade

13.03Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	4–13	-0.01	15%	27 Aug →
inferno	13–6	0.09	31%	27 Aug →
nuke	5–13	0.00	20%	27 Aug →
ancient	10–13	-0.05	24%	27 Aug →
anubis	13–5	0.02	13%	27 Aug →
inferno	13–6	-0.02	16%	26 Aug →
ancient	2–13	-0.02	13%	26 Aug →
inferno	7–2	0.09	21%	26 Aug →
inferno	7–13	0.05	26%	26 Aug →
cache	13–10	0.11	19%	25 Aug →
ancient	9–13	0.09	18%	25 Aug →
inferno	13–9	0.01	22%	25 Aug →
cache	13–10	0.01	21%	25 Aug →
anubis	6–13	0.05	21%	24 Aug →
cache	13–7	-0.03	21%	24 Aug →
ancient	13–10	0.12	19%	24 Aug →
nuke	13–11	0.09	21%	24 Aug →
dust2	13–7	0.13	16%	23 Aug →
nuke	0–6	-0.05	0%	23 Aug →
cache	12–12	0.03	15%	23 Aug →
vertigo	8–2	0.09	18%	23 Aug →
cache	13–6	0.01	10%	23 Aug →
vertigo	3–13	-0.06	28%	23 Aug →
train	7–13	0.10	26%	23 Aug →
train	13–9	-0.02	13%	23 Aug →
inferno	6–13	0.07	21%	23 Aug →
ancient	13–4	-0.00	20%	22 Aug →
anubis	5–13	0.01	13%	22 Aug →
cache	3–13	-0.01	13%	22 Aug →
train	12–12	0.07	28%	22 Aug →
vertigo	13–6	0.03	14%	22 Aug →
inferno	6–13	0.05	28%	22 Aug →
anubis	13–8	0.03	11%	20 Aug →
ancient	13–8	-0.02	6%	20 Aug →
dust2	7–13	0.03	22%	20 Aug →
ancient	13–2	0.03	13%	20 Aug →
ancient	13–10	0.01	8%	20 Aug →
ancient	10–13	-0.03	13%	20 Aug →
inferno	9–13	-0.05	25%	20 Aug →
anubis	19–17	0.03	16%	19 Aug →
inferno	8–13	-0.07	15%	19 Aug →
fachwerk	1–13	-0.03	16%	19 Aug →
inferno	13–9	0.01	17%	18 Aug →
nuke	13–4	0.09	13%	18 Aug →
vertigo	13–3	0.08	36%	18 Aug →
overpass	6–13	-0.04	21%	18 Aug →
cache	13–6	0.08	22%	18 Aug →
dust2	13–6	-0.03	16%	18 Aug →
nuke	8–13	-0.07	22%	18 Aug →
anubis	10–13	-0.02	12%	18 Aug →
train	13–8	0.01	16%	18 Aug →
cache	4–13	-0.04	52%	18 Aug →
inferno	13–10	0.02	20%	18 Aug →
ancient	13–10	0.06	10%	17 Aug →
inferno	13–1	0.09	17%	17 Aug →
inferno	13–10	-0.03	10%	17 Aug →
inferno	13–4	0.06	23%	17 Aug →
nuke	13–7	0.06	25%	17 Aug →
inferno	4–13	-0.07	11%	17 Aug →
cache	7–13	-0.02	22%	17 Aug →
anubis	13–3	0.01	15%	16 Aug →
inferno	19–22	-0.02	11%	16 Aug →
vertigo	13–9	0.04	17%	16 Aug →
inferno	13–7	-0.01	16%	16 Aug →
nuke	9–13	0.11	25%	16 Aug →
ancient	13–1	0.06	33%	16 Aug →
ancient	16–14	0.01	13%	10 Aug →
nuke	13–4	-0.09	30%	10 Aug →
fachwerk	13–6	-0.02	20%	9 Aug →
ancient	12–0	0.19	19%	9 Aug →
dust2	10–13	0.05	24%	9 Aug →
overpass	2–13	-0.10	12%	9 Aug →
inferno	8–13	0.00	17%	9 Aug →
mirage	9–13	-0.05	14%	9 Aug →
anubis	3–13	-0.04	34%	8 Aug →
fachwerk	12–12	-0.02	23%	8 Aug →
nuke	3–13	-0.06	26%	7 Aug →
inferno	2–9	-0.12	25%	7 Aug →
anubis	7–13	-0.04	22%	7 Aug →
inferno	4–13	0.03	35%	7 Aug →
inferno	13–9	0.03	21%	7 Aug →
nuke	13–5	0.05	21%	6 Aug →
cache	2–13	0.00	36%	6 Aug →
anubis	13–6	0.11	16%	6 Aug →
cache	13–9	0.04	15%	6 Aug →
vertigo	11–13	-0.01	19%	6 Aug →
anubis	10–13	0.01	20%	6 Aug →
anubis	1–9	-0.02	38%	5 Aug →
train	13–11	-0.01	18%	5 Aug →
ancient	13–9	0.06	21%	5 Aug →
anubis	12–16	-0.03	13%	2 Aug →
inferno	13–10	0.04	24%	2 Aug →
inferno	0–3	-0.08	0%	2 Aug →
cache	10–13	0.03	11%	1 Aug →
cache	7–13	0.09	17%	1 Aug →
nuke	12–16	0.01	11%	1 Aug →
anubis	8–13	0.01	13%	1 Aug →
anubis	13–9	-0.00	20%	1 Aug →
inferno	10–13	0.02	14%	31 Jul →
dust2	13–7	-0.02	11%	31 Jul →