Jakeherby — CS2 Stats

US76561198254699471[U:1:294433743]Steam profile ↗

312Tracked matches47%Win rate2021Tracked since

176Hours in CS

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim28

Positioning50

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateLLLLWWWLWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim2.8

Aggression4.6

Utility3.4

Positioning5.0

Opening Duels2.2

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 75% playstyle similarity

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

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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 713ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8

Positioning5.0

Utility3.4

Mechanics3.0

Opening Duels2.2

Win Impact3.9

Composite 3.4/10 (Learning), 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-0.03+0.05

first ⅓ avg -0.08 → last ⅓ avg -0.03

Reaction time657ms−63ms

first ⅓ avg 720ms → last ⅓ avg 657ms

Headshot accuracy12.6%+1.5%

first ⅓ avg 11.1% → 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

0.08Best rating — inferno 13–6

13–2Biggest win — mirage

6Longest win streak

L4Current streak

4–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 60% over 5dust2Weakest map · 30% over 44

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	44	13–31	30%	-0.07
inferno	C	33	13–20	39%	-0.07
mirage	C	7	3–4	43%	-0.02
nuke	A	5	3–2	60%	-0.02
overpass	—	4	1–3	25%	-0.06
ancient	—	3	2–1	67%	-0.02
cache	—	2	1–1	50%	-0.05
anubis	—	1	0–1	0%	-0.01
vertigo	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 44). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,489Lifetime kills

0.60K/D

523Matches

38.8%Match win rate

35.8%Headshot %

8.7%Shot accuracy

727MVPs

176Hours (in match)

531Bombs planted

44Bombs defused

Most-used weapons

Galil AR766

M4A4 / M4A1-S748

AK-47551

P2000 / USP-S419

Glock-18340

FAMAS302

AWP297

AUG250

SG 553245

XM1014218

Lifetime map wins

1,528dust2

1,274inferno

285office

91nuke

61vertigo

12bank

10ar_baggage

4ar_shoots

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.

12.9%Headshot accuracy

31.2%Accuracy (enemy spotted)

33.5%Spray accuracy

63.4%Counter-strafing

10.5°Preaim

713msReaction time

29.5%T opening success

47.8%CT opening success

0.43Enemies flashed / flash

3.8%Flash assists

10.47HE damage / grenade

2.55Flashes / 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 12.9443% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 712.6046ms — above the 700ms 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 0.4296 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

30% win rate across 44 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	2–13	-0.06	7%	27 Jun →
anubis	9–13	-0.01	12%	26 Jun →
inferno	4–13	-0.04	14%	24 Jun →
dust2	1–9	-0.05	0%	22 Jun →
ancient	13–6	0.02	10%	19 Jun →
nuke	13–9	0.00	8%	18 Jun →
ancient	13–10	0.00	0%	18 Jun →
dust2	4–13	-0.12	23%	16 Jun →
mirage	13–2	0.03	10%	15 Jun →
dust2	5–13	-0.07	19%	12 Jun →
inferno	5–13	0.02	18%	12 Jun →
dust2	6–13	-0.06	17%	9 Jun →
mirage	6–13	-0.04	5%	8 Jun →
dust2	1–9	-0.14	20%	8 Jun →
nuke	16–14	0.01	17%	7 Jun →
inferno	13–6	0.08	20%	7 Jun →
dust2	13–7	-0.09	17%	7 Jun →
inferno	13–10	-0.05	6%	6 Jun →
dust2	13–5	-0.05	7%	6 Jun →
dust2	16–12	0.04	14%	5 Jun →
nuke	8–13	0.01	19%	4 Jun →
inferno	8–13	-0.02	13%	4 Jun →
overpass	7–13	-0.01	26%	3 Jun →
inferno	13–7	-0.06	0%	3 Jun →
dust2	4–13	-0.10	14%	3 Jun →
inferno	2–5	-0.03	12%	12 May →
mirage	13–3	0.01	11%	10 May →
dust2	13–5	-0.05	13%	10 May →
nuke	12–16	-0.08	9%	9 May →
nuke	13–5	-0.05	12%	9 May →
inferno	8–13	-0.12	9%	9 May →
inferno	7–13	-0.06	21%	8 May →
dust2	6–13	-0.01	16%	8 May →
mirage	16–13	0.02	18%	7 May →
dust2	3–12	-0.02	4%	6 May →
dust2	13–10	-0.09	16%	4 May →
cache	11–0	0.02	0%	4 May →
inferno	13–4	-0.01	6%	4 May →
cache	5–13	-0.11	0%	29 Apr →
mirage	11–13	-0.06	8%	28 Apr →
dust2	4–13	-0.08	4%	27 Apr →
inferno	13–11	-0.02	8%	27 Apr →
dust2	8–13	-0.03	12%	26 Apr →
dust2	11–13	-0.03	8%	26 Apr →
mirage	10–13	-0.06	11%	26 Apr →
dust2	5–13	-0.08	9%	9 Mar →
inferno	1–13	-0.17	11%	2 Mar →
inferno	13–3	-0.08	11%	22 Feb →
dust2	4–13	-0.07	9%	22 Feb →
dust2	6–13	-0.07	8%	16 Feb →
inferno	6–13	-0.09	25%	16 Feb →
dust2	13–6	-0.04	27%	16 Feb →
inferno	13–9	-0.07	4%	11 Feb →
inferno	8–13	-0.08	12%	29 Jan →
dust2	12–12	-0.04	12%	28 Jan →
dust2	8–13	-0.06	31%	28 Jan →
inferno	6–13	-0.09	6%	28 Jan →
inferno	13–5	-0.05	7%	27 Jan →
inferno	6–13	-0.09	14%	27 Jan →
dust2	9–13	-0.09	6%	27 Jan →
dust2	1–13	-0.08	8%	27 Oct →
vertigo	7–13	-0.12	16%	26 Oct →
dust2	7–13	-0.09	5%	26 Oct →
dust2	9–13	-0.12	0%	25 Oct →
dust2	13–10	-0.01	4%	25 Oct →
inferno	6–13	-0.10	0%	24 Oct →
dust2	11–13	-0.11	12%	24 Oct →
inferno	5–13	-0.09	6%	22 Oct →
dust2	5–13	-0.15	3%	22 Oct →
dust2	1–4	-0.17	0%	21 Oct →
dust2	5–0	-0.05	11%	21 Oct →
dust2	13–7	-0.05	0%	21 Oct →
dust2	12–12	-0.06	15%	21 Oct →
inferno	13–11	-0.10	11%	21 Oct →
dust2	13–8	-0.07	27%	21 Oct →
inferno	6–13	-0.05	23%	17 Oct →
dust2	13–10	0.01	22%	17 Oct →
dust2	13–11	-0.08	15%	16 Oct →
dust2	9–13	-0.14	10%	16 Oct →
inferno	3–13	-0.03	9%	16 Oct →
inferno	2–13	-0.14	20%	11 Oct →
dust2	6–13	-0.13	0%	11 Oct →
overpass	12–12	-0.08	7%	10 Oct →
overpass	13–8	-0.08	0%	5 Oct →
inferno	13–7	-0.10	11%	5 Oct →
dust2	12–12	-0.10	8%	5 Oct →
dust2	9–13	-0.01	16%	14 Aug →
inferno	13–5	-0.06	8%	14 Aug →
inferno	13–10	-0.10	13%	15 Jul →
inferno	6–13	-0.14	6%	27 May →
dust2	10–13	-0.11	13%	27 May →
inferno	2–13	-0.09	18%	13 May →
dust2	2–13	-0.05	17%	13 May →
mirage	0–9	-0.05	14%	6 May →
inferno	8–13	-0.12	4%	3 May →
dust2	12–12	-0.08	11%	3 May →
inferno	13–7	-0.03	12%	2 May →
overpass	10–13	-0.06	14%	2 May →
inferno	0–5	-0.10	0%	2 May →
dust2	13–9	0.02	21%	2 May →