LEGO™ Boba Fett — CS2 Stats

US76561198085251660[U:1:124985932]Steam profile ↗

1,044Tracked matches61%Win rate2021Tracked since

1,009Hours in CS

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#26298 of 36224 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median	Level 4 median	vs Level 4
Headshot rate	41.6%	42.1%	42.5%	meets
Shot accuracy	18.9%	12.1%	10.9%	above
Kill/death ratio	1.19	0.99	0.99	above
Match win rate	41.8%	43.9%	44.2%	2.4% short

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning61

Utility41

0–100 skill scores via Leetify.

Recent form

HOT46–46–8Last 10046%Win rateWWTWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression6.9

Utility4.1

Positioning6.1

Opening Duels2.3

Clutch6.0

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 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; lower 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

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. 648ms 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

Aim7.9

Positioning6.1

Utility4.1

Mechanics7.4

Opening Duels2.3

Win Impact8.6

Composite 5.8/10 (Solid), 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 rating0.05+0.00

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time651ms+9ms

first ⅓ avg 642ms → last ⅓ avg 651ms

Headshot accuracy20.9%−0.1%

first ⅓ avg 21.1% → last ⅓ avg 20.9%

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

0.20Best rating — mirage 13–2

13–1Biggest win — anubis

9Longest win streak

W2Current streak

9–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 64% over 14anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	13–14	48%	0.03
cache	C	17	7–10	41%	0.06
nuke	A	14	9–5	64%	0.07
ancient	C	13	5–8	38%	0.06
dust2	B	11	5–6	45%	0.01
anubis	D	6	2–4	33%	0.03
inferno	A	5	3–2	60%	0.04
vertigo	—	3	1–2	33%	0.08
overpass	—	2	0–2	0%	0.00
train	—	1	0–1	0%	-0.01
warden	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,274Lifetime kills

1.19K/D · Top 25% of Level 3 players

2,758Matches

41.8%Match win rate

41.6%Headshot %

18.9%Shot accuracy · Top 5% of Level 3 players

5,839MVPs

1,009Hours (in match)

1,962Bombs planted

795Bombs defused

Most-used weapons

AK-4715,239

M4A4 / M4A1-S8,569

AWP7,404

Desert Eagle3,134

P2000 / USP-S2,975

SSG 082,463

Glock-182,259

XM10141,500

MP91,199

FAMAS1,088

Lifetime map wins

3,612dust2

2,896inferno

2,263nuke

765vertigo

483train

117office

40lake

37cbble

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

Faceit stats

Combat

11Matches

45%Win rate

1.20Avg K/D

124.4ADR

47%Headshot %

Clutches & streaks

50%1v1 clutch win

33%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLWL

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.

20.0%Headshot accuracy

40.6%Accuracy (enemy spotted)

42.5%Spray accuracy

83.3%Counter-strafing

10.4°Preaim

648msReaction time

44.5%T opening success

34.2%CT opening success

0.42Enemies flashed / flash

3.9%Flash assists

6.65HE damage / grenade

13.83Flashes / 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 0.4238 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.177% — below the 40% mark we flag

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.

33% win rate across 6 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
cache	13–5	0.03	46%	24 Aug →
nuke	13–5	0.14	25%	23 Aug →
ancient	15–15	0.08	27%	13 Aug →
mirage	13–6	0.04	11%	12 Aug →
anubis	8–13	0.04	12%	9 Aug →
ancient	9–13	0.15	15%	6 Aug →
nuke	13–11	-0.01	23%	30 Jul →
dust2	16–14	0.05	16%	26 Jul →
ancient	13–4	0.12	32%	26 Jul →
cache	16–13	0.14	8%	26 Jul →
anubis	15–15	0.04	10%	26 Jul →
anubis	13–1	0.09	31%	25 Jul →
cache	13–1	0.17	29%	25 Jul →
mirage	13–2	0.20	22%	25 Jul →
cache	9–13	0.01	13%	25 Jul →
mirage	13–4	-0.00	13%	25 Jul →
dust2	11–13	-0.04	12%	25 Jul →
cache	13–6	0.05	21%	25 Jul →
cache	11–13	0.01	28%	25 Jul →
mirage	7–13	-0.03	6%	24 Jul →
mirage	13–7	0.08	21%	24 Jul →
inferno	13–5	0.05	21%	24 Jul →
ancient	13–8	0.12	18%	24 Jul →
mirage	5–13	0.01	23%	23 Jul →
inferno	11–13	0.05	19%	23 Jul →
mirage	13–9	0.01	27%	23 Jul →
nuke	13–11	0.06	10%	22 Jul →
cache	9–13	-0.02	38%	18 Jul →
ancient	13–16	0.03	17%	18 Jul →
cache	9–13	0.02	29%	9 Jul →
mirage	1–13	-0.06	21%	9 Jul →
ancient	7–13	0.03	29%	9 Jul →
anubis	10–13	-0.04	17%	9 Jul →
mirage	8–13	0.03	12%	9 Jul →
dust2	13–4	0.04	23%	9 Jul →
cache	13–9	0.11	13%	9 Jul →
ancient	8–13	0.03	6%	18 Jun →
train	2–13	-0.01	15%	9 Jun →
warden	13–6	0.02	31%	9 Jun →
vertigo	12–12	0.17	38%	9 Jun →
cache	10–13	0.02	29%	9 Jun →
mirage	11–13	0.06	13%	9 Jun →
mirage	13–11	0.06	23%	8 Jun →
ancient	13–16	0.02	19%	8 Jun →
vertigo	6–13	0.02	18%	8 Jun →
cache	12–12	0.04	23%	8 Jun →
mirage	11–13	-0.02	19%	6 Jun →
nuke	3–13	0.04	16%	5 Jun →
overpass	15–15	0.05	31%	5 Jun →
nuke	14–16	0.04	19%	5 Jun →
ancient	9–13	-0.00	25%	5 Jun →
mirage	13–10	0.03	18%	5 Jun →
mirage	13–5	0.06	26%	4 Jun →
dust2	11–13	0.01	15%	4 Jun →
anubis	13–3	0.10	16%	4 Jun →
dust2	7–13	0.06	30%	4 Jun →
dust2	9–13	0.04	16%	4 Jun →
nuke	13–10	0.03	16%	3 Jun →
ancient	13–11	0.03	14%	3 Jun →
ancient	13–2	0.06	29%	3 Jun →
mirage	10–13	0.01	10%	3 Jun →
mirage	13–10	0.06	16%	2 Jun →
dust2	10–13	-0.04	8%	1 Jun →
mirage	12–16	-0.05	12%	1 Jun →
mirage	8–13	-0.01	12%	31 May →
mirage	13–8	0.05	12%	31 May →
dust2	13–5	-0.03	20%	31 May →
inferno	13–10	0.05	12%	30 May →
overpass	4–13	-0.05	3%	30 May →
inferno	13–7	0.04	19%	30 May →
mirage	13–10	0.01	10%	30 May →
ancient	9–13	0.05	24%	30 May →
inferno	5–13	0.01	14%	30 May →
mirage	7–13	-0.00	15%	30 May →
vertigo	13–9	0.07	17%	27 May →
mirage	5–13	-0.01	6%	27 May →
cache	13–3	0.10	31%	27 May →
cache	13–10	0.11	30%	27 May →
mirage	13–11	0.08	22%	26 May →
nuke	11–13	0.02	15%	26 May →
mirage	6–13	0.00	14%	24 May →
cache	11–13	0.05	24%	22 May →
nuke	8–13	-0.00	20%	22 May →
dust2	11–13	0.02	23%	22 May →
cache	7–13	0.11	27%	22 May →
cache	12–12	0.13	32%	22 May →
mirage	12–12	0.12	22%	22 May →
nuke	12–12	0.10	22%	22 May →
nuke	13–11	0.11	29%	22 May →
mirage	13–9	0.06	29%	21 May →
nuke	16–13	0.03	29%	21 May →
nuke	13–11	0.08	20%	21 May →
nuke	13–4	0.15	23%	21 May →
dust2	13–11	-0.02	23%	20 May →
ancient	13–10	0.06	24%	20 May →
nuke	13–5	0.14	28%	20 May →
dust2	16–12	-0.01	26%	19 May →
anubis	11–13	-0.06	17%	12 May →
mirage	5–13	0.04	21%	12 May →
cache	1–13	-0.06	26%	7 May →