j0ey2taps — CS2 Stats

US76561198125454970[U:1:165189242]Steam profile ↗✓ No bans

2,247Tracked matches54%Win rate2020Tracked since

5,987Hours in CS47Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

FaceitLevel 5 · 854 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning56

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateTWWLLLLWWT

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.4

Aggression7.7

Utility6.1

Positioning5.6

Opening Duels3.8

Clutch3.6

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 b1t 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim6.4

Positioning5.6

Utility6.1

Mechanics3.6

Opening Duels3.8

Win Impact6.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time563ms−64ms

first ⅓ avg 627ms → last ⅓ avg 563ms

Headshot accuracy14.0%−0.8%

first ⅓ avg 14.8% → last ⅓ avg 14.0%

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

0.19Best rating — inferno 13–3

13–2Biggest win — ancient

4Longest win streak

6–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 52% over 25nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	13–12	52%	0.01
mirage	C	20	7–13	35%	0.00
dust2	B	20	10–10	50%	0.01
cache	D	17	5–12	29%	0.01
anubis	D	9	3–6	33%	0.03
nuke	D	5	1–4	20%	-0.02
ancient	—	3	1–2	33%	-0.01
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

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

Lifetime stats

186,260Lifetime kills

1.00K/D

7,839Matches

31.9%Match win rate

42.3%Headshot %

15.6%Shot accuracy · Top 25% of tracked players

10,960MVPs

3,485Hours (in match)

5,168Bombs planted

1,552Bombs defused

Most-used weapons

AK-4791,410

AWP27,984

M4A4 / M4A1-S27,409

P2000 / USP-S6,806

Glock-184,772

MP93,544

P2502,991

Desert Eagle2,848

Knife2,639

MAC-102,302

Lifetime map wins

13,836dust2

8,991inferno

2,929nuke

2,768train

1,367vertigo

995cbble

59aztec

44office

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

Faceit stats

Combat

1,100Matches

48%Win rate

1.06Avg K/D

73.2ADR

28%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	50%	1.03	14.6
Anubis	42	60%	0.95	13.6
Inferno	35	40%	0.97	13.7
Ancient	28	36%	1.05	18.0
Dust2	23	48%	1.09	15.8
Nuke	23	26%	0.91	14.3
Vertigo	10	30%	0.73	11.0
Cache	9	22%	1.03	16.4

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.

13.9%Headshot accuracy

39.8%Accuracy (enemy spotted)

43.2%Spray accuracy

66.1%Counter-strafing

11.4°Preaim

559msReaction time

47.0%T opening success

43.5%CT opening success

0.68Enemies flashed / flash

8.6%Flash assists

9.00HE damage / grenade

5.87Flashes / 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 13.8681% — below the 15% mark we flag
Aim Training →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	0.06	10%	28 Aug →
ancient	13–2	0.00	9%	28 Aug →
anubis	13–4	0.03	10%	27 Aug →
mirage	3–13	-0.08	14%	27 Aug →
cache	10–13	-0.02	24%	26 Aug →
inferno	6–13	-0.01	13%	26 Aug →
inferno	6–13	0.02	22%	25 Aug →
dust2	13–9	0.00	16%	25 Aug →
inferno	13–10	0.00	9%	24 Aug →
cache	12–12	-0.01	14%	23 Aug →
cache	13–3	-0.00	13%	23 Aug →
cache	7–13	0.02	11%	23 Aug →
inferno	13–9	-0.01	19%	22 Aug →
anubis	13–8	-0.00	16%	20 Aug →
ancient	11–13	-0.01	13%	20 Aug →
mirage	9–13	-0.01	15%	20 Aug →
mirage	13–7	-0.03	19%	20 Aug →
inferno	13–9	0.00	11%	20 Aug →
dust2	9–13	0.03	19%	19 Aug →
inferno	13–7	0.08	14%	18 Aug →
mirage	16–14	0.09	10%	18 Aug →
dust2	9–13	-0.02	15%	18 Aug →
mirage	13–9	0.09	15%	15 Aug →
dust2	13–5	0.07	15%	15 Aug →
inferno	9–13	-0.04	9%	15 Aug →
nuke	11–13	0.02	7%	15 Aug →
mirage	13–10	0.02	16%	15 Aug →
cache	7–13	0.07	12%	15 Aug →
mirage	3–13	-0.06	13%	15 Aug →
inferno	13–10	0.02	12%	15 Aug →
anubis	13–8	-0.01	10%	15 Aug →
mirage	6–13	0.03	17%	14 Aug →
cache	12–12	-0.02	18%	13 Aug →
cache	16–14	0.12	19%	13 Aug →
mirage	16–13	0.01	10%	13 Aug →
dust2	4–13	-0.04	11%	12 Aug →
dust2	13–6	0.05	16%	12 Aug →
train	10–13	0.02	11%	12 Aug →
nuke	3–13	-0.05	25%	11 Aug →
nuke	6–13	0.01	11%	10 Aug →
inferno	13–5	0.04	12%	10 Aug →
mirage	8–13	0.01	12%	9 Aug →
inferno	8–13	-0.02	16%	9 Aug →
cache	13–10	0.04	18%	9 Aug →
anubis	10–13	0.04	13%	9 Aug →
mirage	5–13	-0.09	12%	9 Aug →
inferno	13–5	0.09	19%	9 Aug →
dust2	10–13	-0.04	17%	8 Aug →
inferno	11–13	0.02	19%	8 Aug →
inferno	5–13	-0.03	16%	8 Aug →
dust2	13–5	0.03	36%	8 Aug →
dust2	6–13	0.05	15%	8 Aug →
mirage	12–12	0.05	22%	7 Aug →
cache	10–13	-0.02	17%	7 Aug →
nuke	12–12	-0.05	9%	6 Aug →
cache	10–13	-0.03	17%	6 Aug →
mirage	7–13	-0.06	13%	6 Aug →
cache	11–13	-0.01	21%	6 Aug →
nuke	13–3	-0.06	15%	5 Aug →
inferno	6–13	-0.05	15%	5 Aug →
mirage	8–2	0.05	17%	5 Aug →
inferno	9–13	-0.04	11%	4 Aug →
dust2	13–11	-0.02	4%	4 Aug →
inferno	13–3	0.19	17%	4 Aug →
ancient	13–16	-0.03	18%	4 Aug →
cache	2–13	-0.04	9%	4 Aug →
inferno	9–13	-0.06	11%	3 Aug →
dust2	11–13	-0.01	9%	3 Aug →
anubis	7–13	0.05	15%	3 Aug →
dust2	12–12	-0.02	20%	3 Aug →
inferno	12–12	-0.02	17%	2 Aug →
mirage	8–13	-0.04	9%	2 Aug →
dust2	13–6	-0.01	15%	2 Aug →
inferno	13–11	0.04	31%	2 Aug →
anubis	12–12	0.06	18%	1 Aug →
cache	1–13	-0.01	13%	1 Aug →
inferno	8–13	-0.01	18%	1 Aug →
dust2	13–11	-0.04	12%	31 Jul →
dust2	10–13	0.00	10%	31 Jul →
dust2	13–4	0.08	13%	30 Jul →
anubis	5–13	0.04	17%	29 Jul →
dust2	7–13	0.04	24%	28 Jul →
cache	8–13	0.02	20%	26 Jul →
inferno	13–11	0.03	14%	26 Jul →
dust2	8–13	0.02	10%	26 Jul →
inferno	1–13	-0.03	5%	26 Jul →
anubis	9–13	0.01	11%	26 Jul →
dust2	13–8	-0.02	19%	26 Jul →
inferno	13–6	0.03	12%	26 Jul →
anubis	11–13	0.00	8%	26 Jul →
dust2	13–2	0.11	25%	26 Jul →
mirage	12–12	-0.03	8%	26 Jul →
inferno	13–9	0.06	19%	26 Jul →
cache	13–10	-0.03	5%	26 Jul →
inferno	13–8	0.06	19%	25 Jul →
cache	13–8	0.00	7%	25 Jul →
mirage	11–13	-0.03	13%	25 Jul →
mirage	3–13	-0.05	14%	24 Jul →
mirage	13–6	0.15	22%	23 Jul →
mirage	9–13	0.02	18%	23 Jul →