JBaby — CS2 Stats

US76561198333245150[U:1:372979422]Steam profile ↗✓ No bans

3,122Tracked matches53%Win rate2020Tracked since

6,103Hours in CS17Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

CSDB Leaderboard#11857 of 13809 tracked

FaceitLevel 10 · 2,609 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

2,609Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,609
Next: 3,000 ELO at 3,000 — 391 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-28
Level 10 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	47.8%	52.8%
Shot accuracy	8.6%	13.7%
Kill/death ratio	1.30	1.08
Match win rate	50.6%	49.2%

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Performance scores

Aim78

Positioning72

Utility63

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateWWWWLWLWWL

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

Player DNA

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

Aim7.8

Aggression8.4

Utility6.3

Positioning7.2

Opening Duels4.2

Clutch3.8

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: utility contribution, 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

T-side openings. Opening success drops from 57% on CT to 37% 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

Aim7.8

Positioning7.2

Utility6.3

Mechanics5.9

Opening Duels4.2

Win Impact6.1

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time531ms−50ms

first ⅓ avg 580ms → last ⅓ avg 531ms

Headshot accuracy15.2%−1.2%

first ⅓ avg 16.4% → last ⅓ avg 15.2%

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

0.13Best rating — mirage 13–2

13–0Biggest win — inferno

5Longest win streak

W4Current streak

14–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 67% over 12nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	30	19–11	63%	0.01
inferno	A	29	17–12	59%	0.03
anubis	S	12	8–4	67%	0.01
mirage	B	10	5–5	50%	0.05
dust2	C	9	4–5	44%	0.00
nuke	D	6	2–4	33%	0.03
overpass	—	4	1–3	25%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

175,555Lifetime kills

1.30K/D · Top 25% of Level 10 players

6,131Matches

50.6%Match win rate · Top 50% of Level 10 players

47.8%Headshot %

8.6%Shot accuracy

19,401MVPs

4,248Hours (in match)

6,271Bombs planted

1,677Bombs defused

Most-used weapons

AK-4782,449

M4A4 / M4A1-S19,487

AWP14,499

P2000 / USP-S9,577

Glock-186,967

MP95,714

MAC-104,608

Desert Eagle4,451

UMP-452,882

Tec-92,839

Lifetime map wins

9,797dust2

9,016inferno

2,051vertigo

1,889train

1,763nuke

478lake

460cbble

189office

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

Faceit stats

Combat

1,650Matches

52%Win rate

1.19Avg K/D

88.8ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	408	57%	1.22	17.2
Inferno	276	55%	1.23	17.3
Anubis	274	52%	1.14	16.9
Mirage	220	45%	1.17	17.3
Dust2	106	40%	1.10	15.4
Vertigo	65	48%	1.13	17.5
Overpass	41	63%	1.16	16.9
Nuke	29	38%	1.02	15.6

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.

14.6%Headshot accuracy

38.4%Accuracy (enemy spotted)

41.1%Spray accuracy

76.7%Counter-strafing

9.2°Preaim

526msReaction time

37.2%T opening success

56.6%CT opening success

0.50Enemies flashed / flash

12.5%Flash assists

8.72HE damage / grenade

8.57Flashes / 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 14.5755% — 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 0.4975 — 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 37.156% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	19–17	-0.00	10%	25 Aug →
anubis	13–11	0.08	22%	17 Aug →
anubis	13–8	0.08	17%	17 Aug →
anubis	13–7	0.03	9%	1 Aug →
ancient	9–13	-0.02	10%	31 Jul →
ancient	13–8	-0.04	13%	31 Jul →
inferno	16–19	0.06	18%	31 Jul →
inferno	13–4	0.02	23%	26 Jul →
mirage	13–5	0.09	22%	12 Jul →
ancient	10–13	0.01	22%	12 Jul →
inferno	5–13	0.03	18%	12 Jul →
ancient	5–13	-0.10	10%	12 Jul →
inferno	4–13	-0.01	13%	12 Jul →
ancient	13–3	0.05	12%	12 Jul →
dust2	5–13	-0.05	0%	11 Jul →
ancient	13–6	0.10	19%	11 Jul →
ancient	7–13	-0.01	23%	10 Jul →
inferno	13–0	0.02	16%	10 Jul →
dust2	13–9	0.11	18%	10 Jul →
nuke	10–13	0.04	20%	10 Jul →
ancient	8–13	0.03	18%	23 May →
overpass	13–4	0.03	13%	23 May →
anubis	10–13	-0.04	10%	11 May →
dust2	8–13	-0.04	13%	11 May →
mirage	13–2	0.13	24%	11 May →
dust2	8–13	-0.03	7%	11 May →
inferno	13–2	0.02	2%	9 May →
inferno	4–13	-0.02	10%	9 May →
ancient	13–8	0.04	15%	9 May →
ancient	13–8	0.01	9%	9 May →
overpass	6–13	0.02	27%	6 May →
mirage	12–16	0.04	22%	6 May →
ancient	13–6	0.03	17%	6 May →
overpass	11–13	-0.01	18%	6 May →
inferno	16–13	0.01	17%	4 May →
ancient	13–11	0.09	12%	3 May →
mirage	13–7	0.06	10%	3 May →
inferno	9–13	0.10	13%	24 Apr →
inferno	13–3	0.07	17%	19 Apr →
nuke	10–13	-0.02	20%	19 Apr →
inferno	13–8	0.10	10%	18 Apr →
ancient	6–0	0.01	24%	18 Apr →
nuke	10–13	0.01	7%	18 Apr →
ancient	13–11	0.02	9%	18 Apr →
ancient	13–11	-0.00	14%	17 Apr →
mirage	15–15	0.04	11%	17 Apr →
ancient	8–13	-0.02	12%	17 Apr →
dust2	15–15	0.00	11%	17 Apr →
inferno	10–13	0.03	16%	17 Apr →
inferno	13–7	0.07	14%	16 Apr →
dust2	13–2	0.00	21%	16 Apr →
ancient	13–11	-0.07	19%	16 Apr →
anubis	13–4	0.03	8%	12 Apr →
inferno	13–11	0.04	14%	12 Apr →
ancient	5–13	0.00	8%	11 Apr →
inferno	15–15	0.00	20%	11 Apr →
nuke	3–13	-0.00	14%	11 Apr →
inferno	13–16	0.04	26%	10 Apr →
anubis	13–8	0.01	18%	8 Apr →
ancient	10–13	-0.05	12%	8 Apr →
ancient	13–10	-0.01	15%	5 Apr →
dust2	9–13	0.01	15%	4 Apr →
ancient	9–13	0.02	20%	3 Apr →
ancient	13–9	0.06	17%	2 Apr →
inferno	7–13	-0.01	13%	1 Apr →
anubis	13–10	0.03	15%	1 Apr →
inferno	13–11	-0.01	17%	1 Apr →
inferno	6–8	0.07	10%	31 Mar →
ancient	13–11	0.07	13%	31 Mar →
ancient	13–4	0.02	10%	30 Mar →
nuke	9–7	0.12	10%	30 Mar →
ancient	15–15	-0.01	16%	29 Mar →
mirage	9–13	-0.02	12%	29 Mar →
ancient	13–6	0.03	13%	29 Mar →
anubis	13–8	0.04	14%	29 Mar →
inferno	13–6	0.02	26%	28 Mar →
ancient	11–13	0.03	14%	28 Mar →
nuke	13–6	0.02	13%	28 Mar →
inferno	13–5	0.06	23%	28 Mar →
ancient	13–9	0.01	16%	28 Mar →
anubis	13–6	0.03	12%	28 Mar →
anubis	15–15	-0.03	15%	26 Mar →
dust2	13–9	0.00	30%	26 Mar →
inferno	13–11	0.05	16%	26 Mar →
inferno	13–4	0.06	19%	23 Mar →
mirage	14–16	0.00	18%	22 Mar →
inferno	14–16	0.05	19%	22 Mar →
mirage	5–13	0.06	14%	22 Mar →
inferno	4–13	-0.00	8%	21 Mar →
mirage	16–14	0.04	22%	20 Mar →
inferno	13–8	-0.01	19%	20 Mar →
ancient	13–8	0.05	29%	20 Mar →
anubis	9–13	-0.07	13%	19 Mar →
inferno	13–11	0.08	14%	19 Mar →
dust2	16–13	0.02	26%	18 Mar →
inferno	13–10	0.00	13%	17 Mar →
ancient	19–17	0.02	20%	16 Mar →
inferno	13–9	-0.01	16%	15 Mar →
anubis	3–13	-0.03	10%	14 Mar →
overpass	10–13	-0.04	17%	14 Mar →