Big-Boo — CS2 Stats

76561197960785565[U:1:519837]

2,903Tracked matches50%Win rate2020Tracked since

4,920Hours in CS

CSDB Rating3.6 Learning

Premier CS Rating8,587Light Blue band · top ~61.7% of ranked players (population est.)

CSDB Leaderboard#26635 of 35935 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	29.3%	42.5%	44.2%	14.9% short
Shot accuracy	12.8%	10.9%	11.2%	above
Kill/death ratio	0.66	0.99	1.04	0.38 short
Match win rate	43.9%	44.2%	45.3%	1.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim40

Positioning49

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateTLLWLLWWWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim4.0

Aggression6.0

Utility4.5

Positioning4.9

Opening Duels1.9

Clutch0.0

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 NiKo 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 50% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim4.0

Positioning4.9

Utility4.5

Mechanics2.9

Opening Duels2.5

Win Impact5.0

Composite 3.6/10 (Learning), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time576ms−49ms

first ⅓ avg 626ms → last ⅓ avg 576ms

Headshot accuracy11.7%+0.3%

first ⅓ avg 11.4% → last ⅓ avg 11.7%

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.

Highlights

0.14Best rating — dust2 13–3

13–3Biggest win — anubis

4Longest win streak

9–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	15–16	48%	0.01
mirage	C	22	8–14	36%	-0.02
inferno	D	14	3–11	21%	-0.03
anubis	S	9	7–2	78%	-0.00
nuke	A	9	5–4	56%	-0.00
cache	S	9	6–3	67%	-0.01
ancient	D	6	2–4	33%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,038Lifetime kills

0.66K/D

12,755Matches

43.9%Match win rate

29.3%Headshot %

12.8%Shot accuracy · Top 50% of Level 4 players

20,843MVPs

4,920Hours (in match)

15,465Bombs planted

2,719Bombs defused

Most-used weapons

P9054,831

AWP30,984

M4A4 / M4A1-S15,488

AK-479,808

P2000 / USP-S9,742

SSG 088,917

AUG8,822

Glock-185,494

SG 5535,294

Five-SeveN3,573

Lifetime map wins

79,120dust2

6,027inferno

5,956nuke

1,115vertigo

726train

575office

67cbble

56lake

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

Faceit stats

Combat

4Matches

25%Win rate

0.56Avg K/D

56.4ADR

22%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	0%	0.58	12.5
Ancient	1	0%	0.68	13.0

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.

11.7%Headshot accuracy

32.2%Accuracy (enemy spotted)

36.2%Spray accuracy

63.2%Counter-strafing

11.3°Preaim

581msReaction time

24.9%T opening success

50.1%CT opening success

0.54Enemies flashed / flash

2.9%Flash assists

6.94HE damage / grenade

4.96Flashes / 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 11.6613% — below the 15% mark we flag
Aim Training →
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 24.8975% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	-0.03	14%	29 Aug →
inferno	10–13	-0.02	8%	29 Aug →
ancient	8–13	0.01	20%	29 Aug →
inferno	13–7	-0.00	7%	29 Aug →
dust2	5–13	-0.04	17%	29 Aug →
dust2	8–13	-0.04	13%	28 Aug →
inferno	13–10	-0.01	8%	28 Aug →
anubis	13–8	0.02	10%	28 Aug →
inferno	13–10	-0.06	12%	27 Aug →
inferno	6–13	-0.00	16%	27 Aug →
nuke	10–13	-0.06	8%	27 Aug →
dust2	16–13	0.01	14%	26 Aug →
mirage	13–11	-0.01	7%	26 Aug →
inferno	7–13	-0.05	9%	26 Aug →
mirage	13–8	0.08	16%	25 Aug →
dust2	13–11	-0.02	11%	25 Aug →
nuke	8–13	0.07	17%	25 Aug →
mirage	7–4	-0.06	0%	25 Aug →
dust2	13–4	0.13	13%	24 Aug →
cache	13–5	0.02	5%	24 Aug →
dust2	16–13	-0.03	7%	23 Aug →
dust2	3–13	-0.06	16%	23 Aug →
nuke	6–13	-0.02	9%	23 Aug →
cache	10–13	0.02	16%	23 Aug →
dust2	5–13	-0.08	9%	22 Aug →
nuke	13–10	-0.01	8%	22 Aug →
anubis	9–13	-0.03	16%	22 Aug →
cache	13–11	-0.02	5%	22 Aug →
mirage	8–13	-0.09	14%	22 Aug →
dust2	15–15	-0.02	21%	21 Aug →
dust2	16–13	0.03	11%	21 Aug →
mirage	7–13	-0.02	19%	21 Aug →
ancient	13–8	0.08	13%	20 Aug →
dust2	13–11	0.07	10%	20 Aug →
anubis	13–3	-0.05	7%	20 Aug →
inferno	0–13	-0.10	6%	20 Aug →
anubis	5–13	-0.03	5%	19 Aug →
dust2	8–13	-0.04	14%	19 Aug →
mirage	2–13	-0.05	6%	19 Aug →
anubis	16–14	0.01	11%	18 Aug →
dust2	13–3	0.04	20%	18 Aug →
mirage	10–13	0.03	23%	18 Aug →
dust2	7–13	0.00	10%	18 Aug →
dust2	13–3	0.14	6%	17 Aug →
mirage	16–14	0.02	14%	17 Aug →
dust2	13–5	-0.03	7%	17 Aug →
mirage	15–15	-0.04	11%	16 Aug →
dust2	8–13	0.00	10%	16 Aug →
cache	13–7	0.03	7%	16 Aug →
mirage	10–13	0.00	9%	16 Aug →
inferno	6–13	-0.04	13%	16 Aug →
cache	13–11	-0.04	10%	16 Aug →
dust2	8–13	-0.01	3%	16 Aug →
dust2	13–7	-0.02	12%	15 Aug →
ancient	8–13	0.02	9%	15 Aug →
mirage	13–9	-0.01	4%	15 Aug →
nuke	13–10	-0.04	10%	15 Aug →
inferno	6–13	0.05	7%	15 Aug →
nuke	13–11	-0.01	9%	15 Aug →
mirage	13–7	-0.00	9%	15 Aug →
dust2	13–8	0.12	15%	14 Aug →
dust2	6–13	-0.03	5%	14 Aug →
dust2	5–9	0.07	14%	14 Aug →
mirage	6–13	-0.04	20%	14 Aug →
dust2	10–13	0.01	11%	14 Aug →
cache	13–8	-0.01	16%	13 Aug →
mirage	13–16	0.05	14%	13 Aug →
mirage	6–13	-0.05	17%	12 Aug →
nuke	13–3	-0.02	12%	12 Aug →
nuke	11–13	0.02	11%	12 Aug →
inferno	14–16	-0.04	12%	11 Aug →
dust2	13–11	0.07	20%	11 Aug →
mirage	10–13	-0.01	9%	11 Aug →
inferno	9–13	0.00	14%	10 Aug →
cache	10–13	-0.08	15%	10 Aug →
mirage	6–13	-0.04	12%	10 Aug →
dust2	13–5	0.13	8%	9 Aug →
mirage	9–13	-0.06	12%	9 Aug →
dust2	13–7	0.01	17%	9 Aug →
cache	13–9	-0.05	11%	9 Aug →
dust2	6–13	-0.05	16%	8 Aug →
dust2	5–13	-0.07	11%	8 Aug →
dust2	10–13	-0.02	9%	4 Aug →
inferno	3–13	-0.11	9%	4 Aug →
anubis	13–4	0.04	5%	4 Aug →
ancient	14–16	0.01	8%	4 Aug →
mirage	3–13	0.02	12%	4 Aug →
inferno	14–16	0.04	9%	1 Aug →
dust2	13–5	0.06	14%	1 Aug →
mirage	13–7	-0.02	15%	1 Aug →
ancient	6–13	-0.02	12%	1 Aug →
anubis	13–7	-0.01	6%	1 Aug →
nuke	13–8	0.07	7%	31 Jul →
dust2	4–13	0.00	13%	31 Jul →
cache	8–13	0.00	12%	31 Jul →
anubis	13–7	0.05	8%	31 Jul →
anubis	13–3	-0.02	2%	31 Jul →
ancient	13–9	-0.04	7%	30 Jul →
mirage	13–6	-0.01	25%	30 Jul →
mirage	11–13	-0.06	3%	30 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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