Joel 𝔍 — CS2 Stats

US76561198452557094[U:1:492291366]Steam profile ↗✓ No bans

1,334Tracked matches55%Win rate2021Tracked since

2,707Hours in CS40Hrs last 2 wks

CSDB Rating7.5 StrongPositional Player

Premier CS Rating24,090Top 25% of 213,399 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)

CSDB Leaderboard#31746 of 260012 tracked

FaceitLevel 9 · 1,898 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−303Premier CS Rating · 24,393 → 24,090

Rating over time

Premier CS Rating: 24,090 -2,136 30 Aug – 5 Nov · 17 days played

Faceit ELO: 1,898 +0 30 Aug – 20 Oct · 4 observations

26,226Peak Premier in tracked matches

1,898Highest Faceit ELO seen on CSDB

23Days played since 2026-08-30

Faceit ELO

At peak — 1,898
Next: Level 10 at 2,001 — 103 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-30
Level 8 first seen 2026-08-30

Premier CS Rating

2,136 below peak (26,226)
-547 over 30 days · declining
Next: Red band at 25,000 — 910 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-30
Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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	Level 9 median	Level 10 median	vs Level 10
Headshot rate	48.3%	48.2%	50.9%	2.7% short
Shot accuracy	11.4%	13.2%	13.7%	2.3% short
Kill/death ratio	1.37	1.07	1.09	above
Match win rate	40.1%	46.9%	48.4%	8.3% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim87

Positioning70

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateWLWWLLLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · +10ms reaction

Win rate up 20pp 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

3–2 · 60% win rate
Avg rating 0.06
Avg headshot accuracy 16%
Avg reaction 495ms

Last 10

6–4 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 19%
Avg reaction 543ms

Last 20

10–10 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 19%
Avg reaction 538ms

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 (+1.3 against its own average).

Aim8.7

Utility5.9

Positioning7.0

Opening Duels5.7

Clutch4.0

Sharp aimer

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 m0NESY 98% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 552ms 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

Aim8.7

Positioning7.0

Utility5.9

Mechanics7.2

Opening Duels7.5

Win Impact6.7

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time548ms+24ms

first ⅓ avg 524ms → last ⅓ avg 548ms

Headshot accuracy18.7%+0.1%

first ⅓ avg 18.6% → last ⅓ avg 18.7%

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

0.20Best match rating · 6–0 · dust2, 25 Oct →

37%Best headshot accuracy · 9–13 · mirage, 5 Oct →

391msFastest reaction time · 12–12 · anubis, 21 Sept →

13–1Biggest win · train, 28 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 83% over 6anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	12–10	55%	0.03
mirage	C	15	6–9	40%	0.02
ancient	C	12	5–7	42%	0.03
inferno	A	11	6–5	55%	0.03
cache	D	9	3–6	33%	0.01
anubis	D	9	2–7	22%	0.03
vertigo	S	6	4–2	67%	0.02
nuke	S	6	5–1	83%	0.03
train	A	5	3–2	60%	0.01
overpass	—	2	1–1	50%	0.00
office	—	2	0–2	0%	0.06
poseidon	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,834Lifetime kills

1.37K/D · Top 10% of Level 9 players

3,719Matches

40.1%Match win rate

48.3%Headshot % · Top 50% of Level 9 players

11.4%Shot accuracy

8,359MVPs

1,470Hours (in match)

3,442Bombs planted

867Bombs defused

Most-used weapons

AK-4739,451

M4A4 / M4A1-S13,925

Desert Eagle5,007

AWP4,992

P2000 / USP-S3,936

P2502,263

FAMAS2,046

Glock-181,587

MP91,476

Five-SeveN1,127

Lifetime map wins

6,737inferno

4,792dust2

1,965nuke

1,077train

563office

510vertigo

464cbble

96lake

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

Faceit stats

Combat

551Matches

53%Win rate

1.20Avg K/D

83.7ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

27%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	121	53%	1.17	16.5
Dust2	101	50%	1.10	16.4
Ancient	62	48%	1.06	16.4
Inferno	57	58%	1.23	19.0
Anubis	43	49%	1.17	16.8
Nuke	40	58%	1.09	18.4
Overpass	23	74%	1.14	15.5
Cache	9	44%	1.31	17.0

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.

18.7%Headshot accuracy

42.5%Accuracy (enemy spotted)

45.1%Spray accuracy

82.2%Counter-strafing

10.2°Preaim

552msReaction time

60.2%T opening success

60.1%CT opening success

0.59Enemies flashed / flash

10.2%Flash assists

10.06HE damage / grenade

11.91Flashes / match

Recommended for you

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	13–11	0.01	11%	5 Nov →
inferno	11–13	0.03	16%	5 Nov →
inferno	13–11	0.11	20%	3 Nov →
inferno	13–7	0.06	14%	3 Nov →
ancient	8–13	0.07	16%	3 Nov →
cache	9–13	0.00	26%	2 Nov →
mirage	11–13	-0.01	20%	2 Nov →
mirage	13–6	0.02	9%	2 Nov →
dust2	16–12	0.11	18%	30 Oct →
inferno	13–4	0.09	37%	30 Oct →
dust2	8–13	-0.03	12%	29 Oct →
inferno	4–13	-0.01	12%	28 Oct →
vertigo	5–13	-0.02	14%	28 Oct →
office	10–13	0.02	16%	28 Oct →
train	13–1	0.00	26%	28 Oct →
cache	7–13	0.05	20%	28 Oct →
mirage	4–13	-0.05	18%	28 Oct →
dust2	13–7	0.19	16%	25 Oct →
dust2	6–0	0.20	29%	25 Oct →
cache	13–11	0.05	29%	25 Oct →
mirage	9–3	0.06	29%	25 Oct →
mirage	12–12	0.11	23%	25 Oct →
dust2	13–10	-0.00	16%	25 Oct →
cache	5–13	-0.04	16%	25 Oct →
vertigo	13–8	-0.03	17%	25 Oct →
dust2	4–13	-0.05	15%	25 Oct →
mirage	13–9	0.05	16%	22 Oct →
vertigo	13–6	0.10	11%	22 Oct →
mirage	10–13	0.10	26%	22 Oct →
dust2	13–5	0.12	25%	20 Oct →
dust2	9–13	0.02	13%	20 Oct →
mirage	8–13	-0.03	13%	20 Oct →
dust2	13–16	0.00	18%	20 Oct →
dust2	11–13	-0.06	27%	18 Oct →
train	12–12	-0.00	24%	18 Oct →
ancient	14–16	-0.03	11%	18 Oct →
ancient	11–13	0.04	16%	18 Oct →
ancient	13–2	0.07	20%	18 Oct →
overpass	8–13	-0.00	12%	18 Oct →
dust2	5–13	-0.03	14%	16 Oct →
dust2	10–2	0.03	25%	16 Oct →
train	13–7	-0.02	24%	16 Oct →
dust2	6–13	-0.06	13%	16 Oct →
inferno	7–13	-0.01	7%	16 Oct →
dust2	13–11	-0.00	13%	13 Oct →
vertigo	13–11	0.07	12%	13 Oct →
ancient	9–13	0.04	19%	13 Oct →
mirage	12–1	0.07	24%	13 Oct →
anubis	9–13	0.01	21%	13 Oct →
inferno	13–16	0.02	16%	13 Oct →
ancient	11–13	0.04	25%	13 Oct →
cache	13–8	-0.03	11%	12 Oct →
nuke	13–11	0.08	19%	12 Oct →
vertigo	10–13	-0.05	17%	12 Oct →
nuke	13–11	0.04	24%	12 Oct →
anubis	11–13	-0.01	20%	12 Oct →
anubis	13–2	0.02	23%	12 Oct →
inferno	6–2	0.00	17%	12 Oct →
anubis	13–8	0.07	16%	11 Oct →
dust2	13–2	0.06	13%	11 Oct →
inferno	13–7	0.16	14%	8 Oct →
mirage	3–13	0.08	20%	8 Oct →
train	11–13	0.01	15%	8 Oct →
dust2	6–13	-0.01	19%	8 Oct →
poseidon	9–6	-0.07	33%	8 Oct →
inferno	5–9	-0.02	20%	8 Oct →
mirage	12–12	-0.02	22%	6 Oct →
ancient	13–3	0.09	25%	6 Oct →
nuke	8–13	-0.02	15%	6 Oct →
mirage	12–12	-0.01	19%	6 Oct →
nuke	13–10	0.01	31%	6 Oct →
dust2	13–11	-0.01	19%	5 Oct →
inferno	13–7	-0.05	11%	5 Oct →
mirage	9–13	0.02	37%	5 Oct →
ancient	3–13	-0.09	14%	5 Oct →
cache	13–5	0.12	21%	5 Oct →
ancient	13–9	0.07	15%	5 Oct →
ancient	5–13	-0.01	15%	5 Oct →
anubis	10–13	0.03	15%	5 Oct →
office	11–13	0.09	25%	5 Oct →
cache	3–13	-0.06	12%	5 Oct →
dust2	13–7	0.02	13%	2 Oct →
anubis	12–12	0.00	14%	2 Oct →
cache	8–13	-0.06	2%	2 Oct →
dust2	12–12	0.02	24%	2 Oct →
vertigo	13–5	0.06	17%	30 Sept →
dust2	9–13	0.10	12%	30 Sept →
dust2	13–8	0.01	14%	28 Sept →
ancient	13–6	0.10	17%	28 Sept →
train	13–7	0.08	25%	28 Sept →
nuke	13–9	0.06	26%	28 Sept →
anubis	8–13	-0.00	11%	25 Sept →
dust2	13–9	0.03	21%	25 Sept →
mirage	16–12	-0.02	12%	23 Sept →
mirage	13–6	-0.02	14%	23 Sept →
cache	9–13	0.02	26%	23 Sept →
ancient	13–5	0.01	21%	21 Sept →
nuke	13–2	-0.01	26%	21 Sept →
anubis	12–12	0.18	25%	21 Sept →
anubis	12–12	-0.02	20%	21 Sept →