binky — CS2 Stats

76561198173722459[U:1:213456731]

1,578Tracked matches55%Win rate2023Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating25,004Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2755 of 18949 tracked

FaceitLevel 10 · 1,719 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning58

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY63–33–4Last 10063%Win rateLWWWLWLLWL

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

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

Aim8.7

Aggression8.4

Utility5.0

Positioning5.8

Opening Duels4.2

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.

Your pro match

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

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

Areas to improve

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

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

Positioning5.8

Utility5.0

Mechanics8.1

Opening Duels4.2

Win Impact6.7

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time508ms−54ms

first ⅓ avg 562ms → last ⅓ avg 508ms

Headshot accuracy19.1%−4.2%

first ⅓ avg 23.3% → last ⅓ avg 19.1%

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

0.25Best rating — nuke 13–5

13–0Biggest win — cache

11Longest win streak

7–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 89% over 9anubisWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	26	20–6	77%	0.04
cache	B	17	9–8	53%	0.02
ancient	A	14	8–6	57%	0.02
mirage	B	13	7–6	54%	0.04
anubis	C	9	4–5	44%	0.02
nuke	S	9	8–1	89%	0.06
inferno	B	6	3–3	50%	0.04
overpass	A	5	3–2	60%	0.05
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

300Matches

56%Win rate

1.36Avg K/D

82.3ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	42	55%	1.16	17.1
Dust2	26	42%	1.16	16.2
Anubis	22	68%	1.34	17.3
Ancient	13	54%	1.07	15.8
Inferno	12	75%	1.13	17.8
Nuke	6	67%	1.44	21.8
Vertigo	6	83%	1.56	18.7
Overpass	4	100%	1.47	16.0

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.

20.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

34.2%Spray accuracy

86.6%Counter-strafing

6.8°Preaim

523msReaction time

43.9%T opening success

49.6%CT opening success

0.50Enemies flashed / flash

8.0%Flash assists

7.14HE damage / grenade

10.18Flashes / 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 0.4951 — below the 0.5 mark we flag
Grenade Lineups →

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.

44% 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
mirage	13–16	0.02	11%	26 Aug →
ancient	13–9	0.10	30%	23 Aug →
inferno	13–2	0.01	20%	23 Aug →
cache	13–5	0.08	29%	22 Aug →
inferno	7–13	0.10	25%	22 Aug →
dust2	13–10	0.14	19%	20 Aug →
mirage	3–13	-0.03	15%	19 Aug →
cache	11–13	-0.02	14%	19 Aug →
anubis	13–3	0.11	22%	18 Aug →
dust2	10–13	-0.02	26%	16 Aug →
dust2	12–12	0.03	22%	15 Aug →
cache	13–4	0.00	11%	15 Aug →
cache	9–13	-0.03	35%	14 Aug →
cache	13–0	-0.01	19%	13 Aug →
ancient	5–13	-0.05	12%	12 Aug →
mirage	13–11	-0.04	23%	12 Aug →
dust2	7–13	0.00	20%	11 Aug →
dust2	13–2	0.12	9%	11 Aug →
anubis	1–13	-0.06	23%	9 Aug →
cache	13–10	-0.00	15%	8 Aug →
cache	13–5	0.00	20%	8 Aug →
anubis	13–3	-0.00	8%	2 Aug →
dust2	6–13	0.06	22%	2 Aug →
dust2	13–9	0.04	33%	2 Aug →
ancient	2–13	0.00	14%	2 Aug →
dust2	13–10	0.03	24%	30 Jul →
mirage	13–5	0.09	16%	30 Jul →
dust2	13–8	0.04	31%	29 Jul →
nuke	1–7	-0.07	20%	29 Jul →
ancient	11–13	-0.03	26%	19 Jul →
anubis	13–9	0.04	15%	19 Jul →
cache	1–13	-0.04	0%	18 Jul →
dust2	13–0	0.06	0%	18 Jul →
cache	14–16	0.09	23%	17 Jul →
ancient	13–8	0.07	29%	17 Jul →
mirage	13–0	0.03	25%	16 Jul →
mirage	13–7	-0.01	10%	16 Jul →
ancient	13–11	0.02	24%	13 Jul →
nuke	13–3	-0.01	13%	12 Jul →
dust2	9–13	0.03	18%	12 Jul →
overpass	13–2	0.07	32%	12 Jul →
cache	13–8	-0.00	19%	11 Jul →
dust2	13–11	0.01	28%	11 Jul →
nuke	13–10	0.03	26%	10 Jul →
mirage	12–1	0.10	17%	10 Jul →
train	13–11	0.04	17%	10 Jul →
dust2	13–6	0.02	19%	10 Jul →
inferno	6–13	0.01	29%	10 Jul →
cache	13–7	0.02	21%	10 Jul →
cache	6–13	-0.01	28%	10 Jul →
mirage	13–7	0.06	19%	10 Jul →
ancient	15–15	0.02	12%	9 Jul →
inferno	13–11	-0.02	25%	9 Jul →
dust2	13–7	0.02	27%	8 Jul →
cache	11–13	0.00	28%	8 Jul →
overpass	12–12	0.05	21%	8 Jul →
cache	2–13	0.03	26%	5 Jul →
overpass	13–6	0.16	21%	5 Jul →
nuke	13–7	0.04	20%	5 Jul →
ancient	13–5	0.01	21%	2 Jul →
dust2	1–3	-0.05	0%	2 Jul →
cache	13–11	0.12	24%	25 Jun →
dust2	13–7	0.02	17%	25 Jun →
anubis	13–10	0.16	17%	24 Jun →
ancient	5–13	0.02	20%	24 Jun →
ancient	13–8	0.04	18%	19 Jun →
dust2	5–0	-0.01	6%	19 Jun →
nuke	13–4	0.08	35%	19 Jun →
cache	2–13	0.02	18%	19 Jun →
nuke	13–4	0.04	26%	17 Jun →
anubis	0–5	-0.04	0%	17 Jun →
anubis	12–12	0.04	23%	12 Jun →
mirage	4–13	0.05	24%	12 Jun →
mirage	9–13	0.14	20%	11 Jun →
dust2	13–11	0.03	26%	11 Jun →
dust2	13–3	0.06	20%	11 Jun →
dust2	13–9	-0.00	27%	9 Jun →
anubis	8–13	-0.07	13%	9 Jun →
nuke	13–5	0.03	32%	7 Jun →
ancient	13–8	0.03	23%	7 Jun →
inferno	9–13	0.07	24%	6 Jun →
mirage	11–13	0.01	14%	6 Jun →
overpass	8–13	-0.03	23%	6 Jun →
dust2	13–9	0.07	26%	6 Jun →
cache	13–4	0.03	24%	6 Jun →
dust2	13–7	0.10	27%	6 Jun →
ancient	7–13	-0.04	17%	5 Jun →
anubis	7–13	-0.00	15%	3 Jun →
dust2	13–5	0.07	30%	31 May →
dust2	16–13	0.01	30%	30 May →
ancient	13–9	0.05	11%	29 May →
overpass	13–5	0.02	17%	25 May →
dust2	13–0	0.13	16%	25 May →
nuke	13–5	0.25	21%	24 May →
ancient	13–7	0.07	16%	24 May →
nuke	13–7	0.11	75%	17 May →
mirage	13–5	0.10	27%	17 May →
inferno	13–6	0.04	18%	16 May →
dust2	13–8	0.03	33%	16 May →
mirage	7–13	0.01	18%	16 May →