JukeSum — CS2 Stats

76561198046639457[U:1:86373729]✓ No bans

93Tracked matches45%Win rate2021Tracked since

1,151Hours in CS9Hrs last 2 wks

CSDB Rating4.4 Developing

Ladder ranks via Leetify

Performance scores

Aim52

Positioning41

Utility41

0–100 skill scores via Leetify.

Recent form

COLD45–44–2Last 9149%Win rateWWLWLLLLLL

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

Player DNA

Aim5.2

Aggression5.3

Utility4.1

Positioning4.1

Opening Duels1.1

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 81% 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. 595ms 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

Aim5.2

Positioning4.1

Utility4.1

Mechanics6.1

Opening Duels1.3

Win Impact3.3

Composite 4.4/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time599ms−23ms

first ⅓ avg 623ms → last ⅓ avg 599ms

Headshot accuracy15.3%+5.1%

first ⅓ avg 10.2% → last ⅓ avg 15.3%

Rolling 5-match average across the last 91 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — anubis 13–3

13–1Biggest win — nuke

6Longest win streak

W2Current streak

3–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 75% over 8mirageWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	17	11–6	65%	0.00
dust2	D	17	5–12	29%	-0.04
nuke	A	14	8–6	57%	-0.02
cache	B	10	5–5	50%	-0.03
anubis	S	9	6–3	67%	-0.01
ancient	S	8	6–2	75%	0.00
mirage	D	6	0–6	0%	-0.04
overpass	D	6	2–4	33%	-0.01
train	—	4	2–2	50%	-0.01

Across the last 91 tracked matches.

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

Lifetime stats

22,184Lifetime kills

1.03K/D

1,374Matches

41.3%Match win rate

37.5%Headshot %

17.3%Shot accuracy · Top 25% of tracked players

2,603MVPs

535Hours (in match)

934Bombs planted

218Bombs defused

Most-used weapons

AK-475,344

M4A4 / M4A1-S3,355

AWP2,366

P2000 / USP-S1,389

Desert Eagle1,205

Glock-18891

P90851

P250829

FAMAS740

Five-SeveN699

Lifetime map wins

2,407nuke

1,215inferno

641dust2

221train

154cbble

29lake

16aztec

15bank

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

Faceit stats

Combat

12Matches

25%Win rate

0.60Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

14.8%Headshot accuracy

31.0%Accuracy (enemy spotted)

31.7%Spray accuracy

77.4%Counter-strafing

10.2°Preaim

595msReaction time

28.0%T opening success

40.7%CT opening success

0.53Enemies flashed / flash

7.2%Flash assists

8.69HE damage / grenade

2.30Flashes / 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 14.7843% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.2957 — below the 4 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 28.0177% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–13	-0.03	16%	23 Aug →
nuke	13–9	0.01	16%	23 Aug →
cache	1–13	-0.07	7%	23 Aug →
nuke	13–2	0.04	22%	23 Aug →
inferno	10–13	-0.04	13%	23 Aug →
inferno	10–13	-0.05	8%	22 Aug →
mirage	8–13	-0.07	24%	22 Aug →
anubis	12–16	-0.04	15%	22 Aug →
dust2	3–13	-0.10	10%	22 Aug →
cache	1–13	-0.04	18%	22 Aug →
inferno	8–0	-0.00	21%	22 Aug →
cache	13–8	-0.01	11%	15 May →
cache	1–13	-0.05	25%	15 May →
cache	8–13	-0.03	18%	14 May →
cache	11–13	-0.07	6%	14 May →
anubis	13–6	0.02	16%	8 Mar →
inferno	13–6	0.00	32%	8 Mar →
dust2	10–13	-0.06	5%	8 Mar →
anubis	13–10	-0.01	11%	7 Mar →
anubis	13–3	0.13	16%	5 Mar →
anubis	7–13	-0.03	13%	4 Mar →
inferno	13–8	0.02	20%	7 Feb →
nuke	13–6	-0.02	9%	28 Jan →
inferno	13–8	-0.01	17%	28 Jan →
ancient	13–6	-0.02	8%	24 Jan →
overpass	11–13	0.01	11%	4 Jan →
inferno	5–13	-0.00	18%	4 Jan →
mirage	10–13	-0.06	15%	4 Jan →
inferno	15–15	-0.02	14%	30 Dec →
overpass	1–13	-0.01	25%	30 Dec →
train	13–5	0.02	17%	29 Dec →
dust2	5–13	0.01	14%	29 Dec →
dust2	9–13	-0.07	8%	28 Dec →
nuke	13–9	-0.03	5%	28 Dec →
ancient	13–11	-0.06	11%	28 Dec →
nuke	13–11	-0.06	5%	22 Dec →
overpass	13–7	0.05	14%	22 Dec →
ancient	5–13	-0.00	8%	22 Dec →
overpass	11–13	-0.02	16%	21 Dec →
train	6–13	0.00	16%	21 Dec →
dust2	4–13	-0.03	3%	21 Dec →
ancient	13–9	-0.06	8%	21 Dec →
inferno	10–13	-0.01	12%	15 Dec →
overpass	7–13	-0.06	9%	15 Dec →
dust2	7–13	-0.04	15%	15 Dec →
train	13–10	-0.00	16%	14 Dec →
ancient	13–3	0.06	11%	14 Dec →
nuke	13–1	0.03	13%	14 Dec →
dust2	13–6	-0.04	10%	14 Dec →
mirage	8–13	0.04	15%	14 Dec →
dust2	5–13	-0.06	8%	14 Dec →
train	8–13	-0.08	14%	14 Dec →
inferno	13–6	0.11	13%	14 Dec →
mirage	7–13	-0.08	15%	7 Dec →
nuke	4–13	-0.07	5%	7 Dec →
dust2	13–5	0.01	15%	7 Dec →
inferno	13–9	-0.01	14%	7 Dec →
dust2	11–13	-0.10	14%	6 Dec →
nuke	7–13	-0.02	18%	6 Dec →
ancient	13–7	0.05	11%	6 Dec →
mirage	8–13	-0.04	16%	6 Dec →
overpass	13–3	-0.02	10%	28 Nov →
inferno	13–9	-0.05	13%	28 Nov →
nuke	8–13	0.03	14%	28 Nov →
anubis	13–5	-0.07	10%	21 Apr →
nuke	7–13	-0.03	6%	21 Apr →
dust2	13–3	0.00	8%	21 Apr →
ancient	13–10	0.01	10%	17 Apr →
dust2	12–12	-0.06	15%	17 Apr →
anubis	13–1	0.03	7%	17 Apr →
inferno	13–11	0.02	10%	17 Apr →
dust2	13–10	0.02	14%	16 Apr →
dust2	13–4	-0.03	12%	14 Apr →
inferno	13–5	0.06	10%	14 Apr →
anubis	13–6	-0.08	5%	14 Apr →
ancient	8–13	0.06	13%	14 Apr →
dust2	11–13	-0.02	9%	14 Apr →
nuke	16–13	-0.02	3%	13 Apr →
dust2	6–13	-0.03	14%	13 Apr →
anubis	8–13	-0.01	7%	15 Mar →
inferno	13–8	0.01	6%	15 Mar →
dust2	11–13	-0.02	9%	18 Oct →
nuke	13–4	0.01	7%	18 Oct →
inferno	13–2	0.03	7%	18 Oct →
nuke	10–13	-0.05	11%	11 Nov →
cache	16–5	0.06	4%	6 Dec →
inferno	7–9	-0.01	27%	29 Nov →
nuke	7–16	-0.05	13%	29 Nov →
cache	16–9	-0.02	16%	4 Dec →
cache	16–11	-0.02	12%	3 Dec →
mirage	8–16	-0.04	8%	22 Nov →

Show all 91 matchesShow fewer

Match data via Leetify.

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