RinkyDink — CS2 Stats

ID76561198866628524[U:1:906362796]Steam profile ↗✓ No bans

244Tracked matches59%Win rate2022Tracked since

153Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating19,820Purple band · top ~9.2% of ranked players (population est.)

CSDB Leaderboard#10021 of 22407 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	58.7%	44.1%	47.2%	above
Shot accuracy	5.6%	11.4%	12.7%	7.2% short
Kill/death ratio	1.03	1.03	1.09	0.06 short
Match win rate	46.5%	45.2%	46.6%	meets

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

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

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79

Positioning55

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLLWTWWLWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.9

Aggression7.5

Utility4.0

Positioning5.5

Opening Duels3.2

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 b1t 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 582ms 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

Positioning5.5

Utility4.0

Mechanics7.1

Opening Duels3.2

Win Impact7.9

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time588ms+15ms

first ⅓ avg 572ms → last ⅓ avg 588ms

Headshot accuracy25.3%−1.8%

first ⅓ avg 27.1% → last ⅓ avg 25.3%

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

0.14Best rating — nuke 13–5

13–2Biggest win — inferno

6Longest win streak

9–13In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	-0.00
nuke	B	17	9–8	53%	0.03
dust2	D	15	5–10	33%	-0.00
ancient	S	13	10–3	77%	0.04
cache	A	11	6–5	55%	0.01
inferno	D	10	3–7	30%	0.00
anubis	S	7	6–1	86%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,183Lifetime kills

1.03K/D

413Matches

46.5%Match win rate · Top 50% of Purple band

58.7%Headshot % · Top 10% of Purple band

5.6%Shot accuracy

1,125MVPs

153Hours (in match)

252Bombs planted

118Bombs defused

Most-used weapons

AK-472,321

M4A4 / M4A1-S2,086

AWP481

P2000 / USP-S431

Glock-18283

Desert Eagle241

FAMAS190

MP7188

Galil AR178

MAC-10121

Lifetime map wins

628dust2

600nuke

458inferno

43train

42cbble

32vertigo

13office

2italy

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.

25.7%Headshot accuracy

34.6%Accuracy (enemy spotted)

35.5%Spray accuracy

82.0%Counter-strafing

9.7°Preaim

582msReaction time

39.8%T opening success

45.8%CT opening success

0.47Enemies flashed / flash

3.8%Flash assists

8.41HE damage / grenade

5.93Flashes / 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 0.4733 — below the 0.5 mark we flag
Grenade Lineups →
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 39.7838% — 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.

30% win rate across 10 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
nuke	13–11	-0.01	29%	14 Aug →
dust2	11–13	-0.03	33%	31 Jul →
inferno	11–13	-0.03	23%	31 Jul →
anubis	13–5	0.01	21%	31 Jul →
mirage	15–15	-0.05	32%	31 Jul →
cache	13–6	0.05	30%	31 Jul →
cache	13–6	0.07	24%	31 Jul →
cache	9–13	0.00	33%	30 Jul →
dust2	13–11	0.06	33%	30 Jul →
nuke	13–7	0.05	25%	30 Jul →
mirage	11–13	-0.01	22%	30 Jul →
ancient	13–5	0.02	28%	29 Jul →
nuke	7–13	0.01	30%	29 Jul →
ancient	13–4	0.03	16%	29 Jul →
nuke	13–11	0.06	26%	28 Jul →
mirage	9–13	0.02	25%	28 Jul →
nuke	13–10	-0.02	24%	28 Jul →
dust2	11–13	0.00	36%	28 Jul →
inferno	5–13	0.04	24%	27 Jul →
mirage	13–6	0.07	24%	27 Jul →
dust2	13–9	0.00	27%	27 Jul →
cache	10–13	0.07	33%	27 Jul →
mirage	13–9	-0.02	24%	26 Jul →
cache	11–13	0.03	23%	26 Jul →
mirage	10–13	-0.04	23%	25 Jul →
mirage	13–9	0.05	17%	25 Jul →
nuke	9–13	0.03	12%	25 Jul →
cache	13–11	-0.03	22%	24 Jul →
anubis	13–9	0.04	17%	24 Jul →
ancient	13–4	-0.02	29%	24 Jul →
anubis	9–13	-0.00	22%	24 Jul →
nuke	14–16	0.01	27%	24 Jul →
mirage	13–4	0.00	19%	24 Jul →
dust2	11–13	0.01	18%	24 Jul →
nuke	11–13	0.04	30%	24 Jul →
dust2	4–13	-0.08	8%	24 Jul →
mirage	8–13	-0.00	32%	24 Jul →
mirage	15–15	0.00	30%	23 Jul →
mirage	2–13	-0.07	25%	23 Jul →
inferno	16–13	0.00	25%	23 Jul →
mirage	8–13	0.02	36%	23 Jul →
dust2	10–13	0.02	35%	22 Jul →
mirage	15–15	-0.02	24%	22 Jul →
inferno	13–2	0.09	24%	22 Jul →
mirage	13–2	0.13	29%	22 Jul →
dust2	13–4	0.04	20%	22 Jul →
ancient	9–13	-0.02	30%	21 Jul →
mirage	5–13	-0.11	17%	21 Jul →
nuke	13–16	0.01	25%	20 Jul →
anubis	16–14	-0.01	30%	20 Jul →
dust2	13–8	0.08	24%	20 Jul →
nuke	13–5	0.14	28%	20 Jul →
ancient	13–5	0.09	23%	20 Jul →
mirage	10–13	0.03	22%	19 Jul →
inferno	1–7	-0.11	21%	19 Jul →
ancient	13–11	0.03	30%	19 Jul →
ancient	9–13	0.02	19%	19 Jul →
cache	11–13	0.01	18%	19 Jul →
inferno	2–13	-0.02	32%	19 Jul →
nuke	13–2	0.09	31%	17 Jul →
dust2	11–13	0.01	29%	17 Jul →
cache	10–13	-0.04	28%	17 Jul →
inferno	4–13	0.03	38%	17 Jul →
anubis	13–8	0.02	24%	17 Jul →
ancient	13–3	0.09	20%	17 Jul →
mirage	13–10	-0.03	21%	17 Jul →
cache	13–10	-0.00	31%	17 Jul →
dust2	13–10	-0.05	33%	17 Jul →
nuke	13–7	0.06	27%	17 Jul →
dust2	4–13	-0.10	25%	17 Jul →
ancient	13–8	0.06	32%	17 Jul →
nuke	9–13	-0.03	20%	17 Jul →
mirage	13–5	-0.04	26%	17 Jul →
mirage	16–13	-0.04	31%	16 Jul →
mirage	13–10	-0.00	17%	15 Jul →
nuke	3–13	-0.03	40%	15 Jul →
inferno	11–13	0.03	29%	15 Jul →
cache	16–14	0.01	35%	14 Jul →
nuke	9–13	-0.02	32%	14 Jul →
anubis	13–5	-0.03	23%	14 Jul →
mirage	8–13	-0.07	25%	14 Jul →
ancient	13–10	0.02	25%	13 Jul →
mirage	15–15	0.00	28%	13 Jul →
inferno	13–11	0.02	35%	13 Jul →
mirage	7–13	-0.02	33%	11 Jul →
cache	13–10	-0.01	28%	11 Jul →
mirage	13–9	0.06	35%	11 Jul →
anubis	13–11	0.03	22%	11 Jul →
ancient	13–6	0.11	25%	11 Jul →
ancient	2–13	-0.03	22%	10 Jul →
dust2	0–13	-0.10	27%	10 Jul →
nuke	13–10	-0.01	16%	10 Jul →
mirage	9–13	-0.01	16%	10 Jul →
mirage	11–13	-0.02	15%	9 Jul →
ancient	13–4	0.05	31%	9 Jul →
dust2	9–13	-0.02	21%	9 Jul →
nuke	13–3	0.14	33%	9 Jul →
mirage	13–6	0.06	28%	9 Jul →
dust2	14–16	0.12	37%	9 Jul →
inferno	6–13	-0.02	23%	9 Jul →