Richelieu_Rich — CS2 Stats

76561199008704174[U:1:1048438446]

79Tracked matches37%Win rate2026Tracked since

CSDB Rating2.3 Learning

Premier CS Rating12,867Blue band · top ~39.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning26

Utility6

0–100 skill scores via Leetify.

Recent form

STEADY35–40–4Last 7944%Win rateLWWWWLLLLL

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

Player DNA

Aim3.3

Aggression1.5

Utility0.6

Positioning2.6

Opening Duels0.0

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 59% playstyle similarity

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

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

Reaction time. 635ms 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

Aim3.3

Positioning2.6

Utility0.6

Mechanics5.1

Opening Duels0.0

Win Impact0.6

Composite 2.3/10 (Learning), 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-0.06+0.01

first ⅓ avg -0.07 → last ⅓ avg -0.06

Reaction time619ms−66ms

first ⅓ avg 686ms → last ⅓ avg 619ms

Headshot accuracy19.8%+7.9%

first ⅓ avg 11.9% → last ⅓ avg 19.8%

Rolling 5-match average across the last 79 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.05Best rating — cache 13–3

13–0Biggest win — train

6Longest win streak

6–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 72% over 18infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	7–16	30%	-0.07
mirage	S	18	13–5	72%	-0.05
anubis	C	15	6–9	40%	-0.06
inferno	D	10	2–8	20%	-0.08
cache	—	3	2–1	67%	-0.04
nuke	—	3	1–2	33%	-0.07
ancient	—	2	1–1	50%	-0.07
overpass	—	2	2–0	100%	-0.09
train	—	2	1–1	50%	-0.06
boulder	—	1	0–1	0%	-0.03

Across the last 79 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

19.3%Headshot accuracy

24.6%Accuracy (enemy spotted)

19.1%Spray accuracy

73.0%Counter-strafing

9.7°Preaim

635msReaction time

17.5%T opening success

27.7%CT opening success

0.17Enemies flashed / flash

2.1%Flash assists

0.35HE damage / grenade

1.49Flashes / 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.

Advanced Mechanics
Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.
Spray accuracy 19.1088% — below the 20% mark we flag
Practice Config →
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 0.165 — 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.

20% 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
mirage	8–13	-0.09	14%	18 Aug →
dust2	13–10	-0.08	21%	17 Aug →
inferno	13–8	-0.04	7%	15 Aug →
cache	13–11	-0.09	9%	15 Aug →
mirage	13–9	-0.05	33%	15 Aug →
anubis	11–13	0.04	22%	15 Aug →
inferno	11–13	-0.04	12%	15 Aug →
cache	6–13	-0.08	26%	15 Aug →
anubis	6–13	-0.11	21%	14 Aug →
anubis	8–13	-0.04	23%	13 Aug →
mirage	16–13	-0.03	26%	13 Aug →
ancient	11–13	-0.05	23%	13 Aug →
nuke	6–13	-0.15	7%	12 Aug →
dust2	3–13	-0.10	44%	12 Aug →
mirage	5–13	-0.13	16%	12 Aug →
inferno	1–13	-0.08	17%	11 Aug →
dust2	5–13	-0.09	20%	9 Aug →
nuke	13–10	-0.02	36%	9 Aug →
nuke	3–13	-0.05	8%	9 Aug →
cache	13–3	0.05	20%	9 Aug →
mirage	13–4	-0.01	24%	9 Aug →
anubis	11–13	-0.09	19%	3 Aug →
dust2	11–13	-0.06	22%	3 Aug →
anubis	8–13	-0.13	6%	1 Aug →
mirage	13–9	-0.01	11%	31 Jul →
dust2	7–13	-0.08	29%	30 Jul →
boulder	10–13	-0.03	16%	30 Jul →
mirage	11–13	-0.04	19%	30 Jul →
anubis	13–7	-0.06	20%	30 Jul →
overpass	13–6	-0.06	8%	29 Jul →
anubis	3–13	-0.09	7%	29 Jul →
dust2	13–6	0.03	30%	27 Jul →
ancient	13–4	-0.09	12%	25 Jul →
mirage	13–11	-0.08	5%	25 Jul →
mirage	13–3	0.01	25%	25 Jul →
anubis	13–7	0.03	10%	25 Jul →
dust2	13–2	-0.02	28%	25 Jul →
dust2	12–12	-0.10	32%	25 Jul →
dust2	13–7	-0.04	17%	24 Jul →
mirage	13–5	-0.06	28%	24 Jul →
inferno	5–5	-0.12	0%	24 Jul →
dust2	10–13	-0.05	21%	24 Jul →
overpass	13–9	-0.12	4%	23 Jul →
anubis	13–3	-0.04	24%	23 Jul →
dust2	10–13	-0.03	6%	23 Jul →
anubis	12–12	-0.05	6%	22 Jul →
inferno	4–13	-0.05	9%	22 Jul →
dust2	6–13	-0.04	17%	22 Jul →
anubis	5–13	-0.09	7%	22 Jul →
dust2	4–13	-0.15	100%	20 Jul →
mirage	11–13	-0.07	9%	19 Jul →
inferno	12–12	-0.08	12%	19 Jul →
anubis	13–8	-0.04	11%	18 Jul →
anubis	13–11	-0.08	12%	18 Jul →
dust2	9–13	-0.07	8%	18 Jul →
dust2	4–13	-0.12	20%	18 Jul →
mirage	13–4	-0.06	13%	18 Jul →
anubis	13–5	-0.04	7%	18 Jul →
mirage	13–11	-0.02	8%	18 Jul →
dust2	6–13	-0.10	11%	17 Jul →
inferno	7–13	-0.09	0%	17 Jul →
mirage	13–2	-0.03	37%	16 Jul →
mirage	13–1	-0.02	7%	16 Jul →
dust2	9–13	-0.13	0%	16 Jul →
dust2	13–9	-0.01	19%	15 Jul →
dust2	13–10	-0.09	0%	15 Jul →
dust2	10–13	-0.04	22%	14 Jul →
mirage	1–13	-0.07	20%	30 Jun →
inferno	8–13	-0.12	10%	29 Jun →
dust2	12–12	-0.08	13%	29 Jun →
dust2	13–11	-0.07	10%	24 Jun →
mirage	13–7	-0.07	6%	24 Jun →
dust2	7–13	-0.09	14%	24 Jun →
anubis	5–13	-0.10	8%	23 Jun →
train	13–0	-0.01	20%	23 Jun →
mirage	13–3	-0.06	0%	23 Jun →
inferno	5–13	-0.10	13%	23 Jun →
inferno	5–13	-0.08	13%	23 Jun →
train	11–13	-0.10	20%	23 Jun →