andy xues single grain of rice — CS2 Stats

76561198353577363[U:1:393311635]Steam profile ↗✓ No bans

350Tracked matches41%Win rate2024Tracked since

CSDB Rating3.7 Learning

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim43

Positioning44

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateLWLWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim4.3

Aggression5.5

Utility2.1

Positioning4.4

Opening Duels2.4

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 76% 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

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim4.3

Positioning4.4

Utility2.1

Mechanics5.4

Opening Duels2.4

Win Impact1.9

Composite 3.7/10 (Learning), 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 rating-0.03−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time657ms+19ms

first ⅓ avg 638ms → last ⅓ avg 657ms

Headshot accuracy15.3%+3.6%

first ⅓ avg 11.6% → 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

0.12Best rating — overpass 9–3

13–0Biggest win — grail

9Longest win streak

7–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 63% over 8infernoWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	16	5–11	31%	-0.03
train	B	14	7–7	50%	-0.01
vertigo	A	11	6–5	55%	-0.04
mirage	C	9	4–5	44%	-0.03
nuke	A	8	5–3	63%	0.00
dust2	C	7	3–4	43%	-0.01
overpass	D	6	2–4	33%	-0.04
grail	C	5	2–3	40%	-0.03
warden	—	4	1–3	25%	-0.01
ancient	—	4	4–0	100%	-0.05
anubis	—	3	2–1	67%	-0.02
cache	—	2	2–0	100%	-0.06
golden	—	2	2–0	100%	0.04
office	—	2	1–1	50%	-0.06
sanctum	—	1	1–0	100%	-0.03
poseidon	—	1	1–0	100%	0.03
stronghold	—	1	0–1	0%	-0.07
alpine	—	1	0–1	0%	-0.10
palacio	—	1	0–1	0%	-0.01
dogtown	—	1	1–0	100%	-0.04
brewery	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). 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.

15.3%Headshot accuracy

29.5%Accuracy (enemy spotted)

31.4%Spray accuracy

74.2%Counter-strafing

9.9°Preaim

652msReaction time

31.0%T opening success

48.0%CT opening success

0.48Enemies flashed / flash

3.3%Flash assists

3.05HE damage / grenade

3.71Flashes / 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 0.4777 — 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 31.0238% — 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.

31% win rate across 16 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	2–6	-0.03	35%	21 Aug →
cache	13–11	-0.06	36%	2 Jul →
train	5–13	-0.07	0%	2 Jul →
cache	13–9	-0.05	8%	24 May →
warden	13–11	-0.06	0%	8 May →
mirage	6–13	0.06	20%	26 Apr →
sanctum	9–1	-0.03	13%	25 Apr →
vertigo	9–4	0.06	26%	25 Apr →
warden	7–13	0.09	18%	25 Apr →
vertigo	13–3	0.06	17%	20 Apr →
overpass	8–13	-0.06	24%	8 Mar →
poseidon	9–7	0.03	14%	1 Mar →
dust2	6–13	-0.00	9%	1 Mar →
anubis	13–10	0.08	18%	1 Mar →
dust2	12–12	-0.01	17%	1 Mar →
warden	12–12	-0.03	60%	14 Feb →
ancient	13–9	-0.05	5%	14 Feb →
warden	11–13	-0.05	0%	25 Jan →
stronghold	6–13	-0.07	17%	25 Jan →
alpine	1–13	-0.10	14%	25 Jan →
vertigo	3–9	-0.24	0%	25 Jan →
train	4–13	-0.03	20%	25 Jan →
inferno	6–13	-0.12	9%	18 Jan →
mirage	3–13	-0.07	5%	18 Jan →
golden	13–8	0.04	17%	18 Jan →
ancient	10–8	-0.06	17%	29 Dec →
vertigo	11–13	-0.03	19%	29 Dec →
inferno	13–8	-0.04	0%	20 Dec →
nuke	2–13	-0.03	18%	22 Nov →
mirage	6–13	-0.09	8%	19 Nov →
mirage	13–2	0.00	17%	1 Nov →
palacio	4–13	-0.01	10%	5 Oct →
golden	13–8	0.05	13%	5 Oct →
dust2	12–12	-0.07	13%	30 Sept →
vertigo	8–13	-0.02	23%	21 Sept →
train	13–11	0.04	11%	20 Sept →
inferno	6–13	-0.01	12%	20 Sept →
nuke	13–10	0.06	18%	18 Sept →
dust2	11–13	-0.02	12%	18 Sept →
overpass	7–9	-0.06	9%	18 Sept →
vertigo	3–13	-0.08	22%	12 Sept →
dust2	13–5	0.07	20%	6 Sept →
inferno	0–13	0.04	21%	6 Sept →
inferno	9–13	-0.02	26%	1 Sept →
train	8–13	-0.02	15%	1 Sept →
dust2	13–6	-0.04	25%	29 Aug →
grail	2–13	-0.08	0%	29 Aug →
grail	12–12	-0.02	11%	27 Aug →
inferno	13–5	-0.05	17%	27 Aug →
vertigo	9–13	-0.05	13%	26 Aug →
mirage	13–10	-0.02	12%	25 Aug →
train	13–4	-0.06	0%	25 Aug →
dust2	13–3	-0.01	0%	25 Aug →
inferno	8–8	-0.06	4%	23 Aug →
inferno	6–13	-0.05	4%	23 Aug →
mirage	8–13	-0.06	3%	22 Aug →
office	4–13	-0.08	0%	19 Aug →
overpass	12–12	-0.09	0%	15 Aug →
train	12–12	-0.00	18%	15 Aug →
inferno	9–6	-0.02	13%	15 Aug →
inferno	1–9	-0.21	0%	15 Aug →
inferno	9–13	-0.05	15%	15 Aug →
grail	13–6	-0.08	9%	15 Aug →
nuke	9–3	0.10	22%	14 Aug →
dogtown	9–6	-0.04	6%	14 Aug →
brewery	9–2	0.09	7%	14 Aug →
vertigo	9–4	-0.13	6%	14 Aug →
overpass	9–3	0.12	11%	14 Aug →
nuke	5–9	0.02	13%	14 Aug →
inferno	9–1	0.11	5%	14 Aug →
train	13–10	-0.03	26%	14 Aug →
train	0–13	0.03	22%	14 Aug →
vertigo	9–5	0.10	0%	14 Aug →
overpass	5–13	-0.10	12%	13 Aug →
grail	11–13	-0.06	0%	13 Aug →
train	11–13	-0.03	0%	12 Aug →
inferno	6–13	-0.04	0%	12 Aug →
train	9–13	-0.05	18%	10 Aug →
ancient	13–10	-0.06	18%	10 Aug →
overpass	13–3	-0.05	10%	10 Aug →
mirage	13–5	-0.04	9%	10 Aug →
nuke	13–4	-0.04	0%	10 Aug →
vertigo	9–6	-0.03	0%	9 Aug →
nuke	9–7	-0.03	29%	9 Aug →
inferno	8–8	-0.12	11%	9 Aug →
vertigo	13–9	-0.07	20%	9 Aug →
nuke	13–6	-0.01	50%	9 Aug →
grail	13–0	0.10	0%	9 Aug →
inferno	13–9	0.01	13%	7 Aug →
ancient	13–7	-0.04	17%	7 Aug →
train	13–3	-0.05	6%	7 Aug →
mirage	13–5	0.00	29%	6 Aug →
anubis	13–10	-0.01	6%	6 Aug →
office	13–11	-0.04	0%	6 Aug →
inferno	4–9	0.08	8%	6 Aug →
mirage	10–13	-0.08	3%	5 Aug →
anubis	3–13	-0.14	7%	5 Aug →
train	13–4	0.03	20%	5 Aug →
train	13–6	0.00	11%	5 Aug →
train	13–4	0.07	13%	4 Aug →