Jbeake — CS2 Stats

AU76561198041547166[U:1:81281438]Steam profile ↗✓ No bans

671Tracked matches56%Win rate2020Tracked since

1,054Hours in CS

CSDB Rating4.2 Developing

Premier CS Rating4,543Grey band · top ~80.7% of ranked players (population est.)

CSDB Leaderboard#18085 of 23466 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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	Light Blue band median	vs Light Blue band
Headshot rate	35.9%	40.1%	4.2% short
Shot accuracy	16.2%	7.6%	above
Kill/death ratio	1.27	0.92	above
Match win rate	39.9%	42.2%	2.2% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim41

Positioning50

Utility35

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateLTLLWTLTLW

Last 10 vs previous 10: -50pp win rate · +0.01 avg rating

Player DNA

Aim4.1

Aggression7.2

Utility3.5

Positioning5.0

Opening Duels3.6

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 ropz 81% 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

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms 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

Aim4.1

Positioning5.0

Utility3.5

Mechanics5.7

Opening Duels3.6

Win Impact6.9

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time669ms+32ms

first ⅓ avg 637ms → last ⅓ avg 669ms

Headshot accuracy13.9%+0.5%

first ⅓ avg 13.4% → last ⅓ avg 13.9%

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

0.20Best rating — mirage 13–3

13–1Biggest win — cache

5Longest win streak

5–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 100% over 7cacheWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	11–12	48%	0.03
dust2	C	18	8–10	44%	0.02
cache	D	18	6–12	33%	0.02
inferno	B	15	8–7	53%	0.03
nuke	C	10	4–6	40%	0.01
anubis	S	7	7–0	100%	0.04
ancient	B	6	3–3	50%	0.02
fachwerk	—	1	0–1	0%	0.10
vertigo	—	1	0–1	0%	0.01
train	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Lifetime stats

67,409Lifetime kills

1.27K/D · Top 25% of tracked players

3,044Matches

39.9%Match win rate

35.9%Headshot %

16.2%Shot accuracy · Top 25% of tracked players

5,862MVPs

1,054Hours (in match)

1,416Bombs planted

494Bombs defused

Most-used weapons

AWP12,920

P909,236

M4A4 / M4A1-S6,769

Negev3,526

Galil AR3,438

AK-473,182

P2000 / USP-S3,073

XM10142,219

Glock-181,948

SG 5531,827

Lifetime map wins

9,988dust2

2,522inferno

1,836nuke

569vertigo

195train

150office

79lake

75italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy

31.0%Accuracy (enemy spotted)

29.3%Spray accuracy

75.4%Counter-strafing

9.8°Preaim

671msReaction time

32.4%T opening success

56.6%CT opening success

0.44Enemies flashed / flash

3.2%Flash assists

10.85HE damage / grenade

1.91Flashes / 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 13.8096% — 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 0.4384 — 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 32.3632% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.01	17%	12 Aug →
cache	15–15	-0.07	16%	12 Aug →
nuke	10–13	-0.05	8%	12 Aug →
mirage	14–16	-0.03	9%	10 Aug →
mirage	13–5	0.02	21%	10 Aug →
fachwerk	12–12	0.10	14%	10 Aug →
dust2	5–13	-0.02	21%	10 Aug →
vertigo	12–12	0.01	16%	10 Aug →
cache	10–13	-0.02	24%	9 Aug →
dust2	16–13	0.03	15%	9 Aug →
dust2	7–13	-0.01	14%	8 Aug →
inferno	13–9	-0.03	9%	8 Aug →
inferno	5–0	-0.06	22%	8 Aug →
cache	13–8	0.04	11%	6 Aug →
nuke	13–7	0.03	14%	6 Aug →
mirage	13–11	-0.01	9%	6 Aug →
dust2	7–13	-0.00	14%	6 Aug →
ancient	13–5	-0.00	15%	6 Aug →
dust2	1–13	-0.08	8%	6 Aug →
nuke	13–9	0.01	6%	5 Aug →
dust2	13–6	0.03	21%	5 Aug →
mirage	13–6	0.05	11%	4 Aug →
dust2	8–13	0.05	7%	4 Aug →
inferno	13–11	0.02	17%	4 Aug →
anubis	13–7	0.00	11%	3 Aug →
mirage	13–7	0.04	10%	3 Aug →
ancient	13–3	0.10	6%	3 Aug →
nuke	9–13	-0.03	20%	3 Aug →
cache	6–13	-0.01	20%	2 Aug →
mirage	5–13	-0.09	14%	31 Jul →
ancient	3–13	-0.09	12%	31 Jul →
inferno	13–7	0.07	12%	30 Jul →
ancient	8–13	-0.02	15%	26 Jul →
train	13–8	-0.05	7%	26 Jul →
cache	13–8	-0.00	21%	25 Jul →
mirage	13–9	0.09	15%	25 Jul →
inferno	10–13	0.13	13%	24 Jul →
nuke	9–13	-0.01	6%	24 Jul →
nuke	16–12	0.02	22%	24 Jul →
mirage	13–3	0.20	21%	24 Jul →
mirage	10–13	0.06	14%	24 Jul →
cache	10–13	0.05	9%	24 Jul →
mirage	10–13	0.02	20%	24 Jul →
ancient	13–6	0.11	12%	23 Jul →
cache	7–13	0.07	18%	23 Jul →
inferno	7–13	0.06	17%	23 Jul →
mirage	2–13	0.06	16%	22 Jul →
dust2	13–2	0.11	14%	22 Jul →
cache	13–2	0.08	26%	22 Jul →
inferno	8–13	0.01	9%	22 Jul →
cache	11–13	-0.02	16%	21 Jul →
nuke	11–13	0.04	18%	21 Jul →
dust2	13–5	0.03	19%	20 Jul →
anubis	13–6	0.08	22%	20 Jul →
anubis	7–3	0.13	13%	20 Jul →
mirage	8–13	0.01	9%	18 Jul →
mirage	7–13	-0.00	6%	18 Jul →
inferno	13–11	0.09	13%	18 Jul →
mirage	9–13	-0.03	8%	17 Jul →
inferno	13–10	0.08	9%	17 Jul →
cache	13–1	0.05	14%	16 Jul →
inferno	13–10	-0.02	9%	16 Jul →
anubis	13–10	-0.01	10%	16 Jul →
mirage	10–13	0.01	17%	16 Jul →
cache	11–13	0.06	11%	16 Jul →
mirage	13–7	0.01	16%	16 Jul →
cache	13–4	0.18	12%	15 Jul →
anubis	13–9	0.05	5%	15 Jul →
cache	13–9	0.06	18%	15 Jul →
dust2	10–13	0.01	15%	15 Jul →
mirage	13–10	0.04	14%	15 Jul →
dust2	13–8	0.05	15%	15 Jul →
dust2	2–13	-0.02	9%	15 Jul →
inferno	11–13	0.07	15%	14 Jul →
inferno	13–3	0.06	20%	14 Jul →
cache	5–13	-0.05	14%	14 Jul →
nuke	11–13	0.03	8%	14 Jul →
cache	10–13	-0.04	8%	14 Jul →
dust2	8–13	0.02	5%	14 Jul →
anubis	13–8	-0.02	16%	13 Jul →
mirage	8–13	0.04	11%	13 Jul →
ancient	10–13	-0.01	10%	13 Jul →
inferno	5–13	-0.02	27%	13 Jul →
mirage	13–10	0.01	10%	13 Jul →
mirage	13–11	0.03	21%	12 Jul →
anubis	13–8	0.05	5%	12 Jul →
cache	9–13	-0.02	4%	12 Jul →
inferno	14–16	0.01	5%	12 Jul →
mirage	4–13	-0.05	9%	12 Jul →
inferno	7–13	-0.00	24%	12 Jul →
nuke	15–15	0.00	17%	12 Jul →
dust2	13–5	0.02	12%	12 Jul →
nuke	16–14	0.02	6%	12 Jul →
cache	5–13	0.01	9%	11 Jul →
dust2	7–13	0.02	26%	11 Jul →
dust2	13–4	0.13	16%	11 Jul →
dust2	13–6	0.02	26%	11 Jul →
mirage	12–16	0.07	12%	11 Jul →
cache	11–13	-0.00	13%	11 Jul →
mirage	13–6	0.07	15%	11 Jul →