_Joyful_Industry_ — CS2 Stats

76561198218423727[U:1:258157999]Steam profile ↗✓ No bans

140Tracked matches54%Win rate2023Tracked since

187Hours in CS

CSDB Rating5.2 Developing

WingmanSilver Elite

Ladder ranks via Leetify

Performance scores

Aim54

Positioning61

Utility15

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateWLWLLLWLLT

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim5.4

Aggression9.1

Utility1.5

Positioning6.1

Opening Duels5.0

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 ropz 78% playstyle similarity

Most alike: positioning profile, 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

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

Reaction time. 689ms 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

Aim5.4

Positioning6.1

Utility1.5

Mechanics6.7

Opening Duels5.0

Win Impact6.2

Composite 5.2/10 (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 rating0.03+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time697ms−38ms

first ⅓ avg 735ms → last ⅓ avg 697ms

Headshot accuracy15.2%+4.7%

first ⅓ avg 10.5% → last ⅓ avg 15.2%

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

0.24Best rating — inferno 9–6

13–2Biggest win — train

6Longest win streak

4–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 62% over 21dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	23	9–14	39%	0.02
nuke	C	21	9–12	43%	-0.01
inferno	A	21	13–8	62%	0.02
vertigo	D	7	2–5	29%	0.02
dust2	D	5	1–4	20%	-0.00
mirage	C	5	2–3	40%	-0.01
train	—	4	2–2	50%	0.05
ancient	—	2	2–0	100%	-0.00
anubis	—	2	2–0	100%	-0.01
poseidon	—	2	0–2	0%	-0.05
office	—	2	2–0	100%	0.01
sanctum	—	2	1–1	50%	-0.15
overpass	—	2	1–1	50%	0.01
eldorado	—	1	1–0	100%	0.09
debris	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,973Lifetime kills

0.91K/D

1,083Matches

35.1%Match win rate

32.3%Headshot %

12.6%Shot accuracy · Top 50% of tracked players

2,003MVPs

187Hours (in match)

295Bombs planted

318Bombs defused

Most-used weapons

AK-472,523

M4A4 / M4A1-S2,073

AWP1,795

Desert Eagle967

P2000 / USP-S494

MP7478

Glock-18449

SG 553350

Galil AR342

P90268

Lifetime map wins

710nuke

675dust2

612inferno

504vertigo

298train

65lake

62office

21cbble

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.

13.7%Headshot accuracy

35.4%Accuracy (enemy spotted)

34.5%Spray accuracy

80.3%Counter-strafing

9.9°Preaim

689msReaction time

48.1%T opening success

52.2%CT opening success

0.22Enemies flashed / flash

0.0%Flash assists

5.03HE damage / grenade

1.05Flashes / 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 13.6993% — 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 0.22 — 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.

20% win rate across 5 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
cache	13–7	0.01	14%	6 Aug →
nuke	6–13	0.02	5%	6 Aug →
vertigo	13–10	0.08	14%	6 Aug →
nuke	3–13	-0.04	18%	6 Aug →
nuke	5–13	0.04	25%	6 Aug →
dust2	9–13	0.11	14%	20 Jul →
inferno	9–6	0.18	16%	20 Jul →
cache	2–13	-0.00	15%	12 Jul →
dust2	0–13	-0.08	21%	12 Jul →
nuke	8–8	0.15	9%	12 Jul →
eldorado	9–5	0.09	8%	10 Jul →
cache	6–13	0.01	13%	10 Jul →
debris	9–2	0.07	15%	9 Jul →
cache	13–6	0.04	15%	25 Jun →
nuke	9–7	0.06	11%	25 Jun →
inferno	9–7	0.03	28%	23 Jun →
train	9–13	0.09	13%	21 Jun →
train	12–12	0.04	19%	21 Jun →
inferno	9–5	0.02	19%	21 Jun →
train	13–6	-0.03	11%	18 Jun →
train	13–2	0.11	19%	18 Jun →
mirage	13–4	-0.06	26%	15 Jun →
mirage	13–6	-0.02	17%	15 Jun →
inferno	9–3	0.07	18%	15 Jun →
inferno	8–8	0.11	13%	13 Jun →
vertigo	7–13	0.00	8%	3 Jun →
ancient	13–4	0.01	12%	30 May →
nuke	13–10	0.03	10%	30 May →
ancient	16–13	-0.02	10%	30 May →
mirage	10–13	-0.07	8%	30 May →
nuke	13–6	0.01	7%	30 May →
inferno	7–9	-0.08	32%	28 May →
anubis	13–10	-0.04	20%	27 May →
inferno	4–9	-0.09	8%	26 May →
inferno	8–8	0.06	16%	25 May →
vertigo	13–4	0.03	12%	24 May →
poseidon	5–9	-0.05	11%	24 May →
anubis	13–8	0.01	6%	23 May →
mirage	8–13	-0.02	17%	23 May →
nuke	3–9	-0.20	22%	23 May →
dust2	13–10	0.01	9%	20 May →
inferno	0–9	-0.24	7%	20 May →
cache	12–12	0.08	13%	19 May →
cache	3–13	0.07	11%	19 May →
cache	8–13	-0.02	18%	19 May →
cache	13–8	-0.06	15%	18 May →
cache	13–11	0.03	12%	18 May →
mirage	8–13	0.11	15%	18 May →
dust2	1–13	-0.09	14%	18 May →
inferno	9–4	0.01	37%	18 May →
cache	1–13	-0.06	7%	18 May →
office	13–3	0.05	13%	17 May →
office	13–5	-0.03	11%	16 May →
inferno	9–3	0.17	13%	12 May →
cache	13–9	0.03	13%	12 May →
cache	13–4	0.21	20%	12 May →
cache	10–3	0.09	16%	12 May →
vertigo	12–12	0.01	7%	12 May →
cache	5–13	0.04	14%	12 May →
inferno	9–6	0.03	12%	10 May →
vertigo	7–13	-0.03	19%	10 May →
inferno	3–9	-0.27	9%	10 May →
inferno	9–2	0.08	19%	9 May →
inferno	9–6	0.16	15%	6 May →
cache	8–13	-0.01	10%	6 May →
cache	13–7	-0.00	17%	6 May →
inferno	9–6	-0.03	5%	2 May →
cache	10–13	0.00	7%	1 May →
cache	10–13	-0.02	10%	1 May →
nuke	8–8	0.06	3%	30 Apr →
cache	2–13	0.02	5%	29 Apr →
cache	11–13	-0.03	10%	29 Apr →
cache	8–13	-0.01	16%	29 Apr →
cache	13–9	-0.01	18%	29 Apr →
cache	5–13	-0.05	16%	29 Apr →
nuke	13–10	-0.03	8%	29 Apr →
nuke	11–13	-0.01	22%	27 Apr →
nuke	13–8	-0.00	10%	27 Apr →
nuke	12–12	0.00	9%	27 Apr →
dust2	6–13	0.04	11%	25 Apr →
sanctum	2–9	-0.20	5%	25 Apr →
vertigo	6–9	0.04	10%	25 Apr →
poseidon	7–9	-0.05	8%	25 Apr →
overpass	5–9	-0.01	6%	25 Apr →
inferno	9–6	0.24	6%	25 Apr →
sanctum	9–5	-0.10	13%	23 Apr →
nuke	5–13	-0.05	14%	23 Apr →
nuke	7–13	-0.11	5%	23 Apr →
nuke	2–13	-0.01	16%	23 Apr →
overpass	9–7	0.03	15%	23 Apr →
nuke	13–2	0.05	15%	23 Apr →
nuke	13–2	-0.03	7%	23 Apr →
inferno	9–6	0.06	11%	22 Apr →
inferno	4–9	-0.04	11%	22 Apr →
inferno	8–8	-0.03	4%	22 Apr →
inferno	9–5	0.05	16%	20 Apr →
nuke	9–4	0.02	11%	19 Apr →
vertigo	6–9	-0.02	13%	19 Apr →
nuke	9–3	-0.05	6%	19 Apr →
nuke	5–13	-0.07	9%	18 Apr →