JC — CS2 Stats

KR76561198060662957[U:1:100397229]Steam profile ↗VAC banned

1,289Tracked matches39%Win rate2020Tracked since

6,031Hours in CS4Hrs last 2 wks

CSDB Rating4.8 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim68

Positioning38

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLWLLWWLLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.8

Aggression5.1

Utility3.3

Positioning3.8

Opening Duels1.8

Limited utility dependence

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 83% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 664ms 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

Aim6.8

Positioning3.8

Utility3.3

Mechanics7.9

Opening Duels1.8

Win Impact1.4

Composite 4.8/10 (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+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time673ms−26ms

first ⅓ avg 698ms → last ⅓ avg 673ms

Headshot accuracy18.8%−3.3%

first ⅓ avg 22.0% → last ⅓ avg 18.8%

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

0.14Best rating — nuke 13–6

13–2Biggest win — dust2

6Longest win streak

9–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 71% over 7ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	30	10–20	33%	-0.02
mirage	B	25	12–13	48%	-0.03
nuke	A	13	8–5	62%	-0.01
inferno	A	10	6–4	60%	-0.02
cache	S	7	5–2	71%	-0.01
ancient	D	5	1–4	20%	-0.03
train	—	4	1–3	25%	0.01
overpass	—	3	0–3	0%	-0.03
anubis	—	1	0–1	0%	-0.10
warden	—	1	0–1	0%	-0.08
vertigo	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,056Lifetime kills

0.80K/D

10,066Matches

31.1%Match win rate

44.2%Headshot %

18.2%Shot accuracy · Top 10% of tracked players

22,788MVPs

3,546Hours (in match)

3,474Bombs planted

762Bombs defused

Most-used weapons

AK-4766,753

AWP27,054

M4A4 / M4A1-S19,996

Desert Eagle9,428

P2000 / USP-S8,115

Glock-184,010

FAMAS2,246

Knife2,219

P2501,911

MAC-101,672

Lifetime map wins

12,425dust2

5,488inferno

2,831train

2,739nuke

1,229vertigo

904cbble

316lake

73office

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.

18.9%Headshot accuracy

35.5%Accuracy (enemy spotted)

33.3%Spray accuracy

85.4%Counter-strafing

9.3°Preaim

664msReaction time

32.6%T opening success

41.5%CT opening success

0.64Enemies flashed / flash

3.4%Flash assists

10.09HE damage / grenade

2.78Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7759 — 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 32.6181% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–11	-0.02	31%	29 Aug →
dust2	7–13	0.01	22%	29 Aug →
inferno	7–8	0.04	37%	28 Aug →
nuke	9–13	-0.03	28%	25 Aug →
anubis	4–13	-0.10	11%	25 Aug →
dust2	13–2	0.00	24%	24 Aug →
mirage	13–6	-0.01	16%	24 Aug →
inferno	8–13	-0.13	3%	12 Aug →
ancient	11–13	0.03	14%	12 Aug →
mirage	5–13	-0.05	9%	12 Aug →
dust2	12–12	-0.00	17%	2 Aug →
cache	13–7	0.02	13%	2 Aug →
mirage	9–13	-0.03	18%	1 Aug →
dust2	8–13	-0.03	31%	1 Aug →
cache	13–7	0.01	25%	31 Jul →
train	12–12	-0.02	24%	29 Jul →
dust2	5–13	-0.01	14%	28 Jul →
mirage	13–11	0.03	15%	27 Jul →
nuke	13–11	-0.05	7%	26 Jul →
dust2	16–14	0.00	14%	26 Jul →
dust2	10–13	-0.05	16%	26 Jul →
nuke	13–3	-0.02	25%	26 Jul →
mirage	13–16	-0.06	19%	26 Jul →
train	9–13	0.10	25%	13 Jul →
dust2	11–13	-0.06	17%	29 Jun →
overpass	10–13	-0.02	16%	28 Jun →
mirage	9–13	0.02	24%	28 Jun →
nuke	13–6	0.14	24%	27 Jun →
dust2	11–13	0.01	22%	27 Jun →
ancient	10–13	-0.05	15%	27 Jun →
mirage	13–5	-0.07	3%	27 Jun →
dust2	9–13	-0.07	17%	27 Jun →
inferno	13–7	-0.09	23%	23 Jun →
dust2	8–13	-0.03	17%	23 Jun →
dust2	11–13	0.02	22%	31 May →
ancient	4–13	-0.09	26%	31 May →
mirage	9–13	-0.07	10%	26 May →
dust2	5–13	-0.05	23%	13 May →
inferno	13–10	0.08	14%	10 May →
mirage	5–13	-0.03	27%	4 May →
cache	3–13	-0.07	33%	3 May →
cache	13–5	-0.02	23%	3 May →
cache	8–13	0.00	17%	3 May →
nuke	4–13	-0.08	38%	2 May →
cache	13–7	-0.04	15%	2 May →
cache	13–9	0.01	33%	2 May →
mirage	14–16	-0.08	12%	23 Apr →
mirage	9–13	-0.06	14%	23 Apr →
dust2	8–13	-0.05	32%	19 Apr →
inferno	3–13	0.06	28%	19 Apr →
dust2	2–13	-0.05	12%	13 Apr →
dust2	9–13	-0.05	17%	13 Apr →
mirage	7–13	-0.08	21%	12 Apr →
dust2	13–11	-0.06	23%	12 Apr →
mirage	13–8	-0.02	21%	12 Apr →
train	10–13	-0.03	38%	12 Apr →
warden	6–13	-0.08	17%	12 Apr →
vertigo	7–13	-0.00	20%	12 Apr →
mirage	13–8	-0.06	6%	12 Apr →
dust2	13–3	0.09	29%	12 Apr →
dust2	5–1	0.01	38%	12 Apr →
mirage	13–7	0.02	13%	11 Apr →
dust2	13–4	-0.02	13%	11 Apr →
nuke	13–10	-0.04	15%	11 Apr →
dust2	11–13	-0.07	15%	4 Apr →
mirage	13–2	0.06	22%	4 Apr →
mirage	13–8	-0.03	20%	4 Apr →
inferno	16–14	-0.01	12%	4 Apr →
dust2	5–9	-0.02	35%	3 Apr →
nuke	10–13	-0.01	19%	3 Apr →
ancient	10–13	-0.03	27%	3 Apr →
mirage	13–8	-0.03	22%	19 Mar →
nuke	4–13	-0.05	26%	12 Mar →
nuke	13–8	-0.04	17%	12 Mar →
dust2	13–11	-0.00	23%	12 Mar →
mirage	13–7	-0.07	26%	9 Mar →
dust2	13–3	0.02	21%	9 Mar →
mirage	10–13	-0.04	24%	8 Mar →
mirage	13–9	0.00	31%	5 Mar →
dust2	13–8	0.00	15%	1 Mar →
dust2	4–13	-0.09	31%	21 Jan →
mirage	8–13	-0.04	26%	19 Jan →
mirage	4–13	-0.05	17%	19 Jan →
inferno	13–5	-0.03	13%	12 Jan →
dust2	13–11	-0.02	17%	11 Jan →
mirage	13–8	0.00	22%	11 Jan →
ancient	13–9	-0.00	29%	11 Jan →
dust2	14–16	-0.05	10%	3 Jan →
overpass	8–13	-0.03	19%	3 Jan →
inferno	11–13	-0.03	30%	2 Jan →
nuke	13–7	0.06	35%	1 Jan →
nuke	13–10	0.00	16%	1 Jan →
nuke	10–13	0.02	25%	1 Jan →
train	13–8	-0.01	9%	1 Jan →
overpass	9–13	-0.03	19%	28 Dec →
dust2	9–13	-0.05	21%	26 Dec →
inferno	3–13	-0.04	17%	26 Dec →
inferno	13–5	-0.01	27%	25 Dec →
mirage	5–13	0.02	22%	25 Dec →
dust2	12–12	-0.01	23%	7 Dec →