JJ — CS2 Stats

AU76561198060994500[U:1:100728772]Steam profile ↗✓ No bans

710Tracked matches21%Win rate2022Tracked since

817Hours in CS7Hrs last 2 wks

CSDB Rating3.5 Learning

Premier CS Rating13,058Blue band · top ~38.7% of ranked players (population est.)

CSDB Leaderboard#18544 of 27232 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	46.0%	41.7%	44.1%	above
Shot accuracy	2.2%	8.8%	11.4%	9.2% short
Kill/death ratio	0.83	0.97	1.03	0.20 short
Match win rate	44.1%	43.8%	45.2%	1.1% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple 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

Aim50

Positioning40

Utility22

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateLLLLLLLWLW

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

Player DNA

Aim5.0

Aggression4.8

Utility2.2

Positioning4.0

Opening Duels1.4

Clutch0.0

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 NiKo 78% 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. 641ms 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

Aim5.0

Positioning4.0

Utility2.2

Mechanics6.1

Opening Duels1.4

Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time639ms+2ms

first ⅓ avg 638ms → last ⅓ avg 639ms

Headshot accuracy15.6%−1.5%

first ⅓ avg 17.2% → last ⅓ avg 15.6%

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

0.09Best rating — inferno 13–10

13–1Biggest win — dust2

4Longest win streak

L7Current streak

11–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	43	20–23	47%	-0.03
nuke	B	15	8–7	53%	-0.01
ancient	D	10	1–9	10%	-0.04
mirage	D	9	2–7	22%	-0.04
cache	D	9	2–7	22%	-0.05
inferno	D	8	2–6	25%	-0.03
anubis	S	6	5–1	83%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,667Lifetime kills

0.83K/D

959Matches

44.1%Match win rate · Top 50% of Blue band

46.0%Headshot % · Top 50% of Blue band

2.2%Shot accuracy

1,639MVPs

351Hours (in match)

1,037Bombs planted

138Bombs defused

Most-used weapons

M4A4 / M4A1-S4,309

AK-473,778

AWP2,030

P2000 / USP-S785

Glock-18744

MP9386

SSG 08327

MAC-10285

Desert Eagle156

FAMAS98

Lifetime map wins

4,119dust2

1,423nuke

1,184inferno

247train

55vertigo

16office

16lake

9ar_shoots

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

Faceit stats

Combat

1Matches

100%Win rate

0.68Avg K/D

60.8ADR

54%Headshot %

Clutches & streaks

0%1v1 clutch win

0%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.

16.1%Headshot accuracy

31.3%Accuracy (enemy spotted)

32.2%Spray accuracy

77.5%Counter-strafing

10.2°Preaim

641msReaction time

34.0%T opening success

37.5%CT opening success

0.43Enemies flashed / flash

1.3%Flash assists

8.27HE damage / grenade

2.04Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4317 — 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 33.9501% — 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.

10% win rate across 10 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
dust2	8–13	-0.07	23%	25 Aug →
ancient	14–16	-0.04	16%	25 Aug →
dust2	6–13	-0.07	28%	24 Aug →
mirage	6–13	-0.03	10%	23 Aug →
inferno	4–13	-0.03	11%	21 Aug →
dust2	11–13	0.02	19%	20 Aug →
dust2	8–13	-0.02	11%	19 Aug →
anubis	13–7	0.01	22%	18 Aug →
dust2	1–13	-0.11	10%	15 Aug →
ancient	13–10	-0.02	21%	15 Aug →
inferno	2–13	-0.08	18%	13 Aug →
dust2	11–13	0.01	11%	12 Aug →
anubis	13–8	-0.03	13%	10 Aug →
dust2	11–13	0.03	11%	10 Aug →
dust2	9–13	0.00	19%	9 Aug →
ancient	2–13	-0.12	4%	9 Aug →
mirage	7–13	-0.05	19%	9 Aug →
nuke	15–15	-0.03	13%	9 Aug →
dust2	1–13	-0.09	19%	9 Aug →
dust2	4–13	-0.07	18%	9 Aug →
dust2	9–13	-0.11	16%	7 Aug →
dust2	13–7	-0.01	16%	7 Aug →
dust2	13–11	0.00	18%	7 Aug →
nuke	10–13	-0.03	7%	7 Aug →
inferno	8–13	-0.09	19%	6 Aug →
cache	3–13	-0.01	27%	6 Aug →
dust2	10–13	-0.02	21%	5 Aug →
dust2	8–13	-0.02	16%	4 Aug →
nuke	13–11	-0.00	19%	4 Aug →
ancient	7–13	-0.05	10%	3 Aug →
mirage	6–13	-0.11	8%	3 Aug →
nuke	13–8	0.05	11%	3 Aug →
inferno	7–13	0.03	13%	2 Aug →
nuke	13–9	-0.02	12%	2 Aug →
dust2	13–10	0.01	13%	2 Aug →
inferno	13–10	0.09	26%	1 Aug →
anubis	12–7	-0.01	22%	1 Aug →
dust2	9–13	-0.06	16%	1 Aug →
dust2	13–11	0.04	21%	1 Aug →
dust2	13–9	-0.01	29%	1 Aug →
dust2	13–16	-0.00	13%	1 Aug →
dust2	3–13	-0.04	16%	1 Aug →
cache	13–11	-0.07	11%	1 Aug →
mirage	6–13	-0.02	9%	31 Jul →
dust2	8–13	-0.03	15%	31 Jul →
inferno	5–13	-0.06	10%	31 Jul →
dust2	13–10	-0.01	22%	30 Jul →
nuke	11–13	0.01	15%	30 Jul →
cache	3–13	-0.05	17%	30 Jul →
anubis	13–10	0.01	15%	29 Jul →
dust2	13–1	0.03	26%	28 Jul →
mirage	2–0	0.00	0%	28 Jul →
dust2	8–13	-0.06	17%	26 Jul →
cache	11–13	-0.07	13%	26 Jul →
mirage	13–16	-0.02	18%	23 Jul →
nuke	13–9	0.03	11%	22 Jul →
mirage	1–13	-0.11	14%	21 Jul →
ancient	2–13	-0.05	16%	21 Jul →
dust2	5–13	-0.11	11%	21 Jul →
dust2	13–7	0.02	16%	20 Jul →
dust2	13–3	0.03	19%	20 Jul →
nuke	11–13	0.00	14%	19 Jul →
dust2	13–11	-0.02	15%	19 Jul →
dust2	13–9	0.01	15%	19 Jul →
cache	8–13	-0.06	23%	19 Jul →
ancient	4–13	-0.04	15%	18 Jul →
dust2	15–15	-0.02	12%	18 Jul →
dust2	13–6	-0.07	7%	18 Jul →
nuke	13–11	0.00	14%	18 Jul →
nuke	12–16	-0.04	14%	17 Jul →
dust2	9–13	-0.04	12%	17 Jul →
anubis	13–9	-0.02	15%	17 Jul →
nuke	13–7	-0.03	14%	16 Jul →
mirage	13–16	-0.05	18%	16 Jul →
ancient	7–13	0.01	20%	14 Jul →
cache	6–13	-0.08	18%	14 Jul →
dust2	4–13	-0.02	32%	13 Jul →
nuke	13–11	-0.03	17%	13 Jul →
ancient	10–13	-0.06	17%	13 Jul →
inferno	13–9	-0.05	14%	13 Jul →
dust2	13–11	-0.05	8%	13 Jul →
nuke	8–13	-0.03	16%	12 Jul →
dust2	13–8	-0.08	24%	12 Jul →
cache	5–13	-0.09	7%	12 Jul →
anubis	6–13	-0.07	29%	12 Jul →
mirage	13–11	0.00	23%	12 Jul →
ancient	9–13	-0.03	19%	12 Jul →
dust2	13–8	-0.05	25%	11 Jul →
nuke	3–13	-0.04	12%	10 Jul →
cache	10–13	0.04	17%	10 Jul →
dust2	13–8	0.01	27%	10 Jul →
inferno	11–13	-0.07	14%	9 Jul →
dust2	13–8	-0.06	20%	9 Jul →
dust2	13–6	0.01	23%	8 Jul →
cache	13–10	-0.04	8%	8 Jul →
dust2	13–11	-0.06	21%	7 Jul →
dust2	12–12	-0.07	18%	7 Jul →
nuke	16–12	0.08	11%	6 Jul →
dust2	13–10	0.02	23%	6 Jul →
ancient	10–13	-0.04	14%	5 Jul →