Jakes — CS2 Stats

76561198024412338[U:1:64146610]

398Tracked matches17%Win rate2023Tracked since

703Hours in CS3Hrs last 2 wks

CSDB Rating4.1 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim47

Positioning61

Utility24

0–100 skill scores via Leetify.

Recent form

COLD33–60–7Last 10033%Win rateLTLLLLLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim4.7

Aggression9.5

Utility2.4

Positioning6.1

Opening Duels4.0

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 sh1ro 80% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 647ms 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

Aim4.7

Positioning6.1

Utility2.4

Mechanics4.9

Opening Duels4.0

Win Impact0.0

Composite 4.1/10 (Developing), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time643ms−10ms

first ⅓ avg 653ms → last ⅓ avg 643ms

Headshot accuracy12.6%−2.7%

first ⅓ avg 15.3% → last ⅓ avg 12.6%

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

0.22Best rating — dust2 13–7

13–2Biggest win — nuke

6Longest win streak

7–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 47% over 15anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	22	7–15	32%	0.02
nuke	B	15	7–8	47%	0.04
inferno	C	14	6–8	43%	0.03
vertigo	C	14	5–9	36%	0.03
ancient	D	6	2–4	33%	0.03
mirage	D	6	2–4	33%	-0.00
anubis	D	6	0–6	0%	0.03
overpass	—	3	1–2	33%	0.09
assembly	—	3	1–2	33%	-0.06
train	—	2	0–2	0%	-0.01
mills	—	2	1–1	50%	-0.00
thera	—	2	0–2	0%	0.04
office	—	2	1–1	50%	0.05
palais	—	1	0–1	0%	0.07
whistle	—	1	0–1	0%	-0.09
memento	—	1	0–1	0%	-0.24

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,879Lifetime kills

1.16K/D · Top 25% of tracked players

978Matches

38.5%Match win rate

35.3%Headshot %

9.7%Shot accuracy

2,464MVPs

308Hours (in match)

1,004Bombs planted

161Bombs defused

Most-used weapons

AK-475,262

M4A4 / M4A1-S4,149

AWP2,277

P2000 / USP-S898

Glock-18695

P250532

Desert Eagle497

Galil AR388

XM1014313

FAMAS238

Lifetime map wins

2,228dust2

1,163nuke

1,124vertigo

636inferno

262office

86lake

54train

14italy

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.

13.1%Headshot accuracy

33.1%Accuracy (enemy spotted)

32.4%Spray accuracy

72.3%Counter-strafing

9.4°Preaim

647msReaction time

38.9%T opening success

52.9%CT opening success

0.46Enemies flashed / flash

4.4%Flash assists

11.67HE damage / grenade

4.98Flashes / 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 13.1186% — 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 0.4636 — 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 38.9471% — below the 40% mark we flag

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.

0% win rate across 6 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
ancient	6–13	0.03	12%	24 Aug →
overpass	12–12	0.17	19%	17 Aug →
nuke	7–9	0.08	16%	21 Jun →
inferno	6–9	0.09	8%	20 Jun →
dust2	2–13	-0.06	4%	31 Oct →
mirage	4–13	0.01	12%	29 Oct →
overpass	7–13	-0.02	21%	29 Oct →
dust2	4–13	-0.04	15%	28 Oct →
vertigo	13–7	0.03	15%	28 Oct →
inferno	2–9	0.03	12%	26 Oct →
dust2	13–16	0.01	21%	26 Oct →
anubis	5–13	0.11	16%	26 Oct →
nuke	16–14	0.05	8%	26 Oct →
dust2	13–7	0.02	10%	26 Oct →
dust2	7–13	0.09	11%	23 Oct →
vertigo	13–10	0.05	14%	23 Oct →
ancient	5–13	0.06	13%	22 Oct →
dust2	13–7	0.22	24%	21 Oct →
anubis	5–13	-0.01	12%	20 Oct →
anubis	2–13	0.05	2%	20 Oct →
train	2–13	-0.07	15%	20 Oct →
dust2	9–13	0.06	10%	20 Oct →
dust2	2–13	-0.04	12%	18 Oct →
dust2	8–13	0.01	18%	18 Oct →
nuke	6–9	-0.04	14%	15 Sept →
inferno	9–5	0.01	6%	15 Sept →
mirage	1–13	-0.03	18%	7 Sept →
dust2	0–13	-0.05	6%	7 Sept →
ancient	4–13	-0.01	15%	7 Sept →
inferno	3–13	-0.08	11%	16 Mar →
nuke	9–13	-0.01	11%	16 Mar →
anubis	4–13	0.04	8%	16 Mar →
dust2	8–13	-0.08	7%	16 Mar →
vertigo	3–13	0.03	12%	12 Dec →
mirage	13–5	0.05	16%	12 Dec →
train	5–13	0.06	14%	28 Nov →
palais	8–8	0.07	12%	28 Nov →
whistle	2–9	-0.09	12%	28 Nov →
anubis	4–5	-0.03	21%	13 Oct →
nuke	0–9	0.04	7%	13 Oct →
dust2	1–13	-0.07	8%	13 Oct →
inferno	13–9	-0.06	4%	23 Aug →
mirage	9–13	0.01	4%	23 Aug →
nuke	5–13	0.02	26%	23 Aug →
mills	9–13	-0.06	6%	10 Jul →
thera	12–12	0.04	12%	9 Jul →
thera	2–4	0.04	7%	3 Jul →
memento	1–9	-0.24	15%	1 Jul →
assembly	8–8	-0.11	13%	1 Jul →
assembly	1–9	-0.18	11%	1 Jul →
assembly	9–7	0.11	10%	29 Jun →
vertigo	9–13	0.09	8%	27 Jun →
mills	13–6	0.06	6%	27 Jun →
vertigo	7–13	-0.03	13%	24 Jun →
inferno	8–13	0.07	7%	23 Jun →
dust2	13–8	0.11	12%	23 Jun →
vertigo	12–12	0.04	6%	15 Jun →
inferno	10–13	0.04	7%	14 Jun →
vertigo	13–11	0.10	12%	12 Jun →
anubis	10–13	0.02	18%	12 Jun →
inferno	10–13	0.10	8%	11 Jun →
inferno	13–8	0.09	16%	5 Jun →
nuke	3–13	0.03	13%	5 Jun →
inferno	9–13	-0.04	14%	29 May →
dust2	6–13	0.05	15%	28 May →
vertigo	9–13	0.08	7%	28 May →
mirage	3–13	-0.06	24%	26 May →
inferno	13–8	0.09	21%	26 May →
nuke	13–4	0.18	14%	25 May →
ancient	6–13	-0.03	12%	23 May →
vertigo	13–16	-0.02	12%	23 May →
nuke	2–13	-0.06	8%	22 May →
dust2	3–13	-0.06	21%	21 May →
dust2	10–13	0.06	13%	21 May →
dust2	13–5	0.19	18%	21 May →
dust2	4–13	-0.04	20%	18 May →
ancient	13–5	0.06	20%	18 May →
dust2	7–13	-0.04	16%	16 May →
nuke	13–9	-0.00	13%	16 May →
ancient	13–4	0.05	11%	16 May →
inferno	6–13	-0.06	19%	16 May →
overpass	9–7	0.12	13%	16 May →
nuke	13–5	0.11	13%	16 May →
vertigo	6–9	0.06	19%	16 May →
vertigo	12–12	0.04	17%	16 May →
nuke	13–2	0.12	12%	16 May →
office	11–13	-0.02	18%	16 May →
inferno	13–11	-0.03	14%	16 May →
vertigo	13–4	-0.01	16%	16 May →
nuke	13–9	-0.08	11%	16 May →
dust2	13–8	-0.04	26%	15 May →
office	13–5	0.12	17%	15 May →
vertigo	13–11	-0.03	9%	15 May →
vertigo	10–13	-0.02	22%	7 May →
dust2	13–11	0.02	15%	7 May →
mirage	13–10	-0.01	14%	1 May →
dust2	13–6	0.05	16%	1 May →
inferno	13–4	0.08	22%	1 May →
nuke	12–12	-0.03	8%	30 Apr →
nuke	13–5	0.16	6%	30 Apr →