Joe — CS2 Stats

76561198081507053[U:1:121241325]Steam profile ↗VAC banned

267Tracked matches45%Win rate2021Tracked since

1,049Hours in CS

CSDB Rating4.5 DevelopingPositional Player

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 267

0.0ppWin rate · 44.8% → 44.8%

Rating over time

Premier CS Rating: 15,443 -1,114 19 Apr – 2 Jun · 8 days played

17,281Peak Premier in tracked matches

34Days played since 2026-04-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim65

Positioning39

Utility28

0–100 skill scores via Leetify.

Recent form

COLD52–45–3Last 10052%Win rateWLWLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.9pp headshot accuracy · −178ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 569ms

Last 10

3–7 · 30% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 599ms

Last 20

9–11 · 45% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 688ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim6.5

Utility2.8

Positioning3.9

Opening Duels0.4

Clutch0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like b1t 97% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

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

Reaction time. 700ms 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

Aim6.5

Positioning3.9

Utility2.8

Mechanics6.1

Opening Duels0.6

Win Impact3.3

Composite 4.5/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time694ms−30ms

first ⅓ avg 724ms → last ⅓ avg 694ms

Headshot accuracy15.8%+1.8%

first ⅓ avg 14.1% → last ⅓ avg 15.8%

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.

Personal bests

0.17Best match rating · 13–2 · vertigo, 2 Jun →

29%Best headshot accuracy · 13–5 · office, 24 May →

500msFastest reaction time · 5–13 · ancient, 10 Sept →

13–0Biggest win · boulder, 21 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

3–6In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 60% over 5nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	38	22–16	58%	0.01
nuke	D	11	3–8	27%	-0.02
ancient	D	7	2–5	29%	0.00
inferno	B	6	3–3	50%	0.04
dust2	A	5	3–2	60%	-0.03
anubis	—	4	1–3	25%	-0.03
vertigo	—	4	2–2	50%	0.03
mirage	—	4	3–1	75%	0.00
overpass	—	4	3–1	75%	-0.02
boulder	—	3	3–0	100%	0.03
warden	—	3	3–0	100%	-0.01
fachwerk	—	2	0–2	0%	-0.06
shelter	—	2	1–1	50%	0.05
stronghold	—	2	1–1	50%	0.02
alpine	—	2	0–2	0%	-0.05
italy	—	1	1–0	100%	0.09
office	—	1	1–0	100%	-0.02
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,234Lifetime kills

0.99K/D

2,637Matches

43.5%Match win rate

38.3%Headshot %

18.9%Shot accuracy · Top 10% of tracked players

6,556MVPs

1,049Hours (in match)

1,935Bombs planted

614Bombs defused

Most-used weapons

AK-4711,006

M4A4 / M4A1-S8,846

AWP5,281

Desert Eagle4,119

P2000 / USP-S3,443

Glock-182,050

FAMAS1,509

Galil AR1,403

P2501,203

P901,097

Lifetime map wins

4,399dust2

2,831inferno

2,631nuke

876train

816office

670vertigo

507cbble

233lake

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

1.13Avg K/D

76.6ADR

35%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.

15.5%Headshot accuracy

39.7%Accuracy (enemy spotted)

42.2%Spray accuracy

77.7%Counter-strafing

10.1°Preaim

700msReaction time

26.8%T opening success

34.6%CT opening success

0.43Enemies flashed / flash

5.9%Flash assists

9.95HE damage / grenade

2.97Flashes / 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 0.4314 — 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 26.8057% — below the 40% mark we flag

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.

27% win rate across 11 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
ancient	13–4	0.08	21%	23 Sept →
ancient	5–13	-0.11	18%	10 Sept →
inferno	13–7	0.07	24%	8 Sept →
cache	9–13	0.03	20%	8 Sept →
anubis	11–13	-0.02	13%	8 Sept →
cache	11–13	0.02	16%	6 Sept →
vertigo	8–13	-0.06	4%	6 Sept →
cache	13–6	0.03	21%	3 Sept →
ancient	8–13	-0.00	14%	3 Sept →
dust2	6–13	-0.04	11%	3 Sept →
ancient	7–13	-0.04	13%	21 Jul →
fachwerk	0–13	-0.07	6%	21 Jul →
boulder	13–0	0.05	15%	21 Jul →
inferno	13–1	0.04	12%	21 Jul →
mirage	13–6	-0.01	11%	21 Jul →
cache	7–13	0.04	20%	21 Jul →
vertigo	11–13	-0.02	13%	19 Jul →
italy	13–2	0.09	18%	19 Jul →
shelter	13–3	0.02	17%	19 Jul →
overpass	13–5	-0.00	18%	18 Jul →
nuke	8–13	-0.06	13%	16 Jul →
dust2	1–13	-0.08	8%	16 Jul →
inferno	6–13	-0.01	7%	16 Jul →
nuke	13–2	-0.06	9%	16 Jul →
boulder	13–7	0.02	28%	16 Jul →
shelter	12–12	0.08	16%	16 Jul →
fachwerk	4–13	-0.05	14%	16 Jul →
cache	13–9	-0.03	26%	9 Jul →
boulder	13–10	0.03	17%	9 Jul →
cache	10–13	0.07	19%	29 Jun →
ancient	8–13	0.08	24%	29 Jun →
stronghold	13–9	0.08	21%	29 Jun →
vertigo	13–3	0.04	19%	29 Jun →
cache	13–10	0.06	20%	25 Jun →
cache	13–3	0.04	15%	25 Jun →
inferno	4–13	0.06	17%	25 Jun →
warden	13–7	0.07	24%	21 Jun →
mirage	13–5	0.04	15%	14 Jun →
nuke	10–13	0.04	20%	14 Jun →
cache	13–7	-0.05	10%	7 Jun →
warden	13–10	-0.05	9%	7 Jun →
stronghold	11–13	-0.04	21%	7 Jun →
cache	13–1	0.02	22%	7 Jun →
vertigo	13–2	0.17	10%	2 Jun →
cache	6–13	-0.02	14%	2 Jun →
nuke	2–13	-0.00	21%	2 Jun →
dust2	13–4	-0.02	17%	1 Jun →
cache	9–13	-0.01	10%	24 May →
cache	9–13	0.00	18%	24 May →
warden	13–5	-0.04	13%	24 May →
alpine	6–13	-0.07	28%	24 May →
cache	13–5	0.12	18%	24 May →
office	13–5	-0.02	29%	24 May →
ancient	13–10	0.03	13%	24 May →
nuke	13–9	-0.01	18%	23 May →
dust2	13–9	-0.06	19%	21 May →
mirage	4–13	-0.04	21%	21 May →
alpine	9–13	-0.03	10%	21 May →
cache	4–13	-0.01	29%	18 May →
nuke	13–10	-0.01	18%	18 May →
cache	10–13	0.03	16%	16 May →
cache	11–13	-0.02	19%	9 May →
cache	13–5	0.00	17%	9 May →
cache	13–5	0.01	20%	9 May →
cache	13–6	0.01	14%	5 May →
cache	13–3	0.01	14%	5 May →
cache	13–7	0.01	19%	5 May →
cache	13–7	0.01	8%	5 May →
cache	0–13	-0.04	21%	5 May →
cache	13–11	0.10	15%	5 May →
cache	13–11	-0.04	9%	4 May →
cache	9–13	-0.07	23%	4 May →
cache	13–2	0.03	12%	4 May →
cache	7–13	-0.03	27%	4 May →
cache	13–4	-0.08	9%	4 May →
cache	13–9	0.08	12%	2 May →
cache	13–9	0.13	14%	2 May →
nuke	7–13	0.06	3%	2 May →
cache	12–12	0.06	15%	2 May →
cache	13–2	-0.01	24%	2 May →
cache	13–4	-0.02	13%	2 May →
cache	12–12	0.03	17%	29 Apr →
cache	13–10	-0.06	18%	29 Apr →
cache	8–13	-0.04	4%	29 Apr →
nuke	5–13	-0.01	22%	28 Apr →
anubis	5–13	-0.07	11%	28 Apr →
overpass	13–9	-0.04	10%	27 Apr →
nuke	4–13	-0.05	9%	27 Apr →
anubis	6–13	-0.05	13%	27 Apr →
anubis	13–11	0.03	13%	25 Apr →
ancient	1–13	-0.01	14%	25 Apr →
nuke	9–13	-0.04	16%	25 Apr →
overpass	13–6	-0.00	15%	25 Apr →
train	7–13	-0.04	10%	25 Apr →
nuke	6–13	-0.04	5%	24 Apr →
overpass	7–13	-0.02	17%	24 Apr →
inferno	13–2	0.10	9%	23 Apr →
dust2	13–3	0.02	17%	22 Apr →
mirage	13–8	0.02	18%	22 Apr →
inferno	11–13	0.00	18%	19 Apr →