Raging Coconut — CS2 Stats

AU76561198284008024[U:1:323742296]Steam profile ↗✓ No bans

1,166Tracked matches44%Win rate2021Tracked since

CSDB Rating3.9 LearningHybrid Rifler

Premier CS Rating7,761Light Blue band · top ~65.6% of ranked players (population est.)

CSDB Leaderboard#18872 of 25032 tracked

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning45

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWWLLLLWLT

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.0

Aggression7.0

Utility3.8

Positioning4.5

Opening Duels1.8

Clutch6.0

Limited utility dependence

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim6.0

Positioning4.5

Utility3.8

Mechanics4.0

Opening Duels1.8

Win Impact3.1

Composite 3.9/10 (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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time589ms−37ms

first ⅓ avg 626ms → last ⅓ avg 589ms

Headshot accuracy19.9%+1.9%

first ⅓ avg 18.0% → last ⅓ avg 19.9%

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

0.13Best rating — dust2 13–5

13–1Biggest win — cache

4Longest win streak

W3Current streak

6–14In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 63% over 16mirageWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	14–14	50%	0.00
mirage	D	21	7–14	33%	0.00
cache	C	16	7–9	44%	0.01
inferno	A	16	10–6	63%	0.01
anubis	D	6	2–4	33%	0.00
nuke	B	6	3–3	50%	0.01
ancient	—	4	1–3	25%	0.02
vertigo	—	2	0–2	0%	-0.05
fachwerk	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches

38%Win rate

0.69Avg K/D

68.9ADR

35%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	100%	1.19	19.0
Inferno	1	100%	0.90	9.0
Anubis	1	0%	0.50	8.0

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.

19.0%Headshot accuracy

33.0%Accuracy (enemy spotted)

30.9%Spray accuracy

68.0%Counter-strafing

8.2°Preaim

586msReaction time

38.5%T opening success

36.1%CT opening success

0.46Enemies flashed / flash

2.5%Flash assists

10.14HE damage / grenade

3.84Flashes / 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 0.4558 — 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 38.5126% — below the 40% mark we flag

Spend your practice time on Mirage

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 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–10	-0.02	14%	28 Aug →
mirage	13–6	0.05	11%	27 Aug →
dust2	13–5	0.08	27%	24 Aug →
ancient	11–13	0.12	15%	24 Aug →
cache	11–13	0.02	27%	24 Aug →
inferno	13–16	-0.00	17%	21 Aug →
dust2	9–13	-0.01	18%	21 Aug →
dust2	13–11	-0.00	23%	21 Aug →
inferno	11–13	-0.11	9%	21 Aug →
dust2	12–12	-0.05	29%	21 Aug →
dust2	6–13	-0.02	27%	20 Aug →
mirage	10–13	0.02	11%	20 Aug →
anubis	14–16	0.04	22%	19 Aug →
nuke	13–6	0.02	29%	19 Aug →
mirage	0–13	-0.05	15%	19 Aug →
nuke	16–13	0.04	16%	19 Aug →
dust2	13–10	-0.03	15%	17 Aug →
inferno	13–11	0.04	18%	17 Aug →
mirage	11–13	-0.01	24%	13 Aug →
ancient	8–13	-0.01	21%	13 Aug →
dust2	13–8	-0.06	13%	13 Aug →
mirage	6–13	-0.07	45%	12 Aug →
inferno	13–11	-0.05	10%	12 Aug →
dust2	11–13	0.02	11%	12 Aug →
mirage	14–16	0.02	13%	10 Aug →
mirage	13–5	0.01	18%	10 Aug →
fachwerk	12–12	-0.08	26%	10 Aug →
dust2	5–13	-0.05	23%	10 Aug →
vertigo	12–12	-0.03	16%	10 Aug →
dust2	13–7	0.05	15%	10 Aug →
inferno	4–13	-0.03	31%	10 Aug →
cache	13–4	0.04	35%	9 Aug →
dust2	13–9	0.01	14%	7 Aug →
inferno	13–6	-0.05	4%	7 Aug →
anubis	3–13	-0.01	14%	6 Aug →
inferno	13–3	0.08	9%	6 Aug →
ancient	13–10	0.00	9%	6 Aug →
nuke	13–9	0.01	12%	5 Aug →
dust2	13–6	0.05	33%	5 Aug →
mirage	12–16	0.03	23%	5 Aug →
mirage	1–7	-0.00	43%	5 Aug →
anubis	7–13	0.06	11%	2 Aug →
cache	7–13	0.03	24%	2 Aug →
dust2	5–13	-0.09	13%	2 Aug →
mirage	13–7	-0.04	24%	2 Aug →
nuke	10–13	-0.03	15%	1 Aug →
mirage	4–13	0.00	16%	1 Aug →
inferno	13–7	0.03	27%	30 Jul →
dust2	13–7	-0.02	20%	30 Jul →
cache	13–8	0.00	23%	30 Jul →
vertigo	9–13	-0.06	4%	30 Jul →
cache	11–13	0.06	31%	29 Jul →
cache	13–5	0.07	11%	29 Jul →
dust2	13–3	0.06	12%	29 Jul →
inferno	8–13	0.04	21%	28 Jul →
dust2	13–8	0.04	32%	28 Jul →
inferno	13–7	0.05	22%	27 Jul →
dust2	9–13	0.00	14%	27 Jul →
ancient	11–13	-0.03	4%	27 Jul →
cache	13–11	0.01	10%	27 Jul →
dust2	13–8	0.04	0%	27 Jul →
nuke	5–13	-0.01	15%	27 Jul →
mirage	9–13	-0.02	12%	24 Jul →
dust2	0–8	-0.03	29%	24 Jul →
cache	11–13	-0.03	29%	21 Jul →
dust2	13–7	0.01	25%	21 Jul →
cache	13–10	0.01	10%	21 Jul →
mirage	3–13	0.01	26%	20 Jul →
inferno	13–6	0.06	13%	20 Jul →
mirage	13–8	0.01	23%	20 Jul →
cache	10–13	-0.04	10%	18 Jul →
mirage	11–13	0.02	11%	18 Jul →
mirage	8–13	0.03	3%	18 Jul →
mirage	7–13	-0.01	22%	18 Jul →
inferno	13–11	-0.02	31%	18 Jul →
dust2	15–15	0.01	13%	16 Jul →
cache	13–1	0.03	26%	16 Jul →
inferno	13–10	0.04	7%	16 Jul →
anubis	13–10	0.01	17%	16 Jul →
anubis	9–13	-0.05	19%	16 Jul →
dust2	1–13	-0.00	5%	16 Jul →
mirage	10–13	0.03	18%	16 Jul →
cache	11–13	-0.04	9%	16 Jul →
mirage	13–7	0.04	10%	16 Jul →
dust2	10–13	-0.02	16%	16 Jul →
dust2	13–8	0.03	22%	15 Jul →
dust2	2–13	-0.04	11%	15 Jul →
inferno	11–13	0.04	23%	14 Jul →
inferno	13–3	0.13	38%	14 Jul →
cache	5–13	-0.04	5%	14 Jul →
nuke	11–13	0.04	16%	14 Jul →
cache	10–13	-0.02	23%	14 Jul →
dust2	8–13	-0.03	41%	14 Jul →
cache	7–13	-0.03	12%	12 Jul →
mirage	13–3	-0.01	22%	12 Jul →
inferno	5–13	-0.05	15%	12 Jul →
mirage	13–11	-0.00	17%	12 Jul →
cache	13–10	0.06	28%	12 Jul →
dust2	13–5	0.13	26%	12 Jul →
dust2	9–13	-0.07	17%	10 Jul →