Snoop Binks — CS2 Stats

DE76561198837433233[U:1:877167505]Steam profile ↗✓ No bans

537Tracked matches62%Win rate2023Tracked since

166Hours in CS

CSDB Rating4.4 Developing

Premier CS Rating11,692Blue band · top ~45.9% of ranked players (population est.)

CSDB Leaderboard#37564 of 54493 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	44.8%	41.4%	44.2%	meets
Shot accuracy	1.9%	9.0%	11.6%	9.7% short
Kill/death ratio	0.84	0.97	1.03	0.19 short
Match win rate	48.6%	43.7%	45.2%	above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim46

Positioning48

Utility15

0–100 skill scores via Leetify.

Recent form

STEADY52–37–11Last 10052%Win rateTTWTWWWWLT

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.6

Aggression5.2

Utility1.5

Positioning4.8

Opening Duels0.9

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 73% playstyle similarity

Most alike: opening-fight frequency, 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. 725ms 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

Aim4.6

Positioning4.8

Utility1.5

Mechanics7.1

Opening Duels1.0

Win Impact8.8

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time696ms+35ms

first ⅓ avg 661ms → last ⅓ avg 696ms

Headshot accuracy15.3%+4.3%

first ⅓ avg 11.0% → last ⅓ avg 15.3%

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

0.13Best rating — vertigo 13–3

13–0Biggest win — cache

5Longest win streak

3–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 83% over 6infernoWeakest map · 38% over 37

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	37	14–23	38%	-0.04
cache	A	29	18–11	62%	-0.00
mirage	B	11	5–6	45%	-0.03
ancient	A	9	5–4	56%	-0.02
nuke	S	6	5–1	83%	0.00
vertigo	—	4	3–1	75%	0.03
overpass	—	2	1–1	50%	-0.11
dust2	—	1	1–0	100%	0.11
anubis	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 37). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,562Lifetime kills

0.84K/D

693Matches

48.6%Match win rate · Top 25% of Blue band

44.8%Headshot % · Top 50% of Blue band

1.9%Shot accuracy

1,284MVPs

166Hours (in match)

520Bombs planted

106Bombs defused

Most-used weapons

M4A4 / M4A1-S2,075

AK-471,953

Galil AR634

P2000 / USP-S606

Desert Eagle549

Glock-18528

FAMAS395

MP9205

AWP187

MAC-1087

Lifetime map wins

2,884inferno

458dust2

389nuke

86train

74vertigo

13italy

8lake

6office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.3%Headshot accuracy

34.1%Accuracy (enemy spotted)

31.5%Spray accuracy

82.1%Counter-strafing

10.1°Preaim

725msReaction time

38.0%T opening success

29.4%CT opening success

0.29Enemies flashed / flash

3.2%Flash assists

4.84HE damage / grenade

1.03Flashes / 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 13.3436% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 724.6895ms — above the 700ms mark we flag
Aim Training →
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 0.2947 — below the 0.5 mark we flag
Grenade Lineups →

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.

38% win rate across 37 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	8–8	0.02	11%	5 Jul →
inferno	8–8	-0.08	17%	5 Jul →
inferno	9–3	0.12	14%	5 Jul →
cache	12–12	0.02	16%	5 Jul →
inferno	9–5	0.04	11%	5 Jul →
cache	13–7	-0.01	19%	5 Jul →
cache	13–4	0.06	14%	5 Jul →
overpass	13–10	-0.06	13%	5 Jul →
ancient	9–13	-0.02	19%	4 Jul →
cache	12–12	-0.05	20%	4 Jul →
mirage	13–9	0.04	8%	4 Jul →
mirage	12–12	0.00	10%	3 Jul →
cache	13–5	0.06	23%	3 Jul →
cache	5–13	-0.00	12%	3 Jul →
cache	13–7	-0.03	8%	3 Jul →
inferno	6–9	-0.06	18%	3 Jul →
inferno	9–5	-0.13	24%	3 Jul →
cache	12–12	-0.04	10%	1 Jul →
cache	13–2	-0.00	11%	1 Jul →
inferno	6–9	-0.04	11%	1 Jul →
inferno	8–8	-0.05	10%	1 Jul →
inferno	9–4	0.01	18%	1 Jul →
inferno	9–0	0.09	50%	1 Jul →
cache	1–7	-0.07	15%	1 Jul →
cache	13–5	0.00	23%	1 Jul →
ancient	11–13	-0.01	14%	30 Jun →
cache	6–12	-0.07	15%	30 Jun →
cache	13–4	0.03	15%	30 Jun →
cache	6–13	-0.10	6%	30 Jun →
cache	4–13	-0.05	6%	30 Jun →
cache	9–13	-0.03	12%	30 Jun →
vertigo	13–8	0.04	13%	30 Jun →
inferno	12–6	0.04	19%	30 Jun →
mirage	13–7	-0.04	7%	30 Jun →
dust2	9–1	0.11	19%	30 Jun →
ancient	1–13	-0.09	6%	30 Jun →
inferno	7–9	0.01	12%	27 Jun →
inferno	4–9	0.08	7%	27 Jun →
cache	13–6	0.03	20%	26 Jun →
vertigo	13–4	-0.01	0%	26 Jun →
vertigo	8–13	-0.02	17%	25 Jun →
vertigo	13–3	0.13	11%	25 Jun →
cache	13–9	0.05	16%	25 Jun →
inferno	9–6	0.06	28%	21 Jun →
inferno	9–6	-0.06	10%	21 Jun →
inferno	7–9	-0.19	7%	21 Jun →
inferno	13–10	-0.01	6%	20 Jun →
mirage	13–6	0.02	6%	20 Jun →
inferno	2–9	-0.04	7%	18 Jun →
nuke	11–13	-0.01	8%	18 Jun →
ancient	13–8	-0.03	4%	17 Jun →
nuke	13–10	-0.03	9%	16 Jun →
mirage	3–13	-0.07	16%	16 Jun →
inferno	7–9	-0.11	14%	16 Jun →
inferno	5–9	-0.08	16%	16 Jun →
ancient	13–7	-0.04	8%	13 Jun →
inferno	5–9	-0.08	9%	13 Jun →
mirage	13–16	-0.04	9%	13 Jun →
cache	13–0	0.01	7%	13 Jun →
inferno	9–7	-0.09	13%	13 Jun →
inferno	9–6	0.01	13%	13 Jun →
mirage	0–8	-0.09	10%	13 Jun →
inferno	10–13	-0.07	7%	13 Jun →
nuke	13–6	0.04	9%	12 Jun →
cache	10–13	0.02	14%	11 Jun →
nuke	13–6	-0.00	11%	11 Jun →
cache	13–11	-0.04	11%	11 Jun →
mirage	13–9	0.01	21%	11 Jun →
nuke	13–7	-0.04	19%	11 Jun →
nuke	13–2	0.05	18%	11 Jun →
inferno	2–9	-0.17	15%	11 Jun →
ancient	13–7	0.03	19%	11 Jun →
mirage	13–2	0.02	9%	11 Jun →
inferno	0–9	-0.27	0%	11 Jun →
overpass	6–13	-0.16	7%	11 Jun →
cache	13–3	-0.05	6%	11 Jun →
mirage	3–13	-0.07	9%	11 Jun →
inferno	2–9	-0.22	6%	11 Jun →
ancient	16–13	0.04	9%	9 Jun →
inferno	7–9	-0.05	7%	9 Jun →
cache	13–11	-0.02	15%	9 Jun →
inferno	8–8	-0.00	29%	9 Jun →
inferno	6–9	0.02	10%	9 Jun →
cache	12–12	0.12	18%	8 Jun →
anubis	10–13	-0.09	8%	8 Jun →
cache	13–7	-0.01	6%	8 Jun →
ancient	13–10	-0.02	5%	8 Jun →
mirage	7–13	-0.08	8%	7 Jun →
cache	13–10	0.05	10%	6 Jun →
inferno	5–9	-0.03	13%	6 Jun →
inferno	13–7	-0.02	14%	6 Jun →
inferno	4–9	-0.19	5%	6 Jun →
inferno	9–2	0.09	9%	6 Jun →
inferno	9–5	0.06	8%	6 Jun →
inferno	8–8	-0.12	9%	6 Jun →
cache	13–6	0.03	9%	4 Jun →
cache	13–10	-0.03	10%	4 Jun →
cache	13–3	0.05	14%	4 Jun →
ancient	10–13	-0.07	10%	3 Jun →
inferno	8–8	-0.00	9%	3 Jun →