WhiteRice — CS2 Stats

76561198847174678[U:1:886908950]

1,476Tracked matches43%Win rate2021Tracked since

2,658Hours in CS16Hrs last 2 wks

CSDB Rating5.3 Developing

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim59

Positioning50

Utility59

0–100 skill scores via Leetify.

Recent form

HOT32–57–11Last 10032%Win rateWLLWLWWWWW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating

Player DNA

Aim5.9

Aggression5.0

Utility5.9

Positioning5.0

Opening Duels1.5

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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 654ms 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

Aim5.9

Positioning5.0

Utility5.9

Mechanics8.0

Opening Duels1.5

Win Impact2.6

Composite 5.3/10 (Developing), 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-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time679ms+11ms

first ⅓ avg 668ms → last ⅓ avg 679ms

Headshot accuracy19.3%+0.9%

first ⅓ avg 18.4% → last ⅓ avg 19.3%

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

0.15Best rating — dust2 13–10

13–1Biggest win — dust2

5Longest win streak

9–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 53% over 15nukeWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	23	6–17	26%	0.00
dust2	C	20	7–13	35%	0.01
mirage	D	18	6–12	33%	-0.00
nuke	D	15	3–12	20%	-0.02
inferno	B	15	8–7	53%	-0.00
vertigo	—	4	0–4	0%	-0.01
overpass	—	2	0–2	0%	0.04
anubis	—	1	0–1	0%	-0.02
ancient	—	1	1–0	100%	0.03
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,456Lifetime kills

0.93K/D

4,031Matches

42.7%Match win rate

45.4%Headshot %

11.4%Shot accuracy

9,335MVPs

1,796Hours (in match)

4,570Bombs planted

908Bombs defused

Most-used weapons

AK-4719,892

M4A4 / M4A1-S10,277

AWP7,026

Desert Eagle5,820

P2000 / USP-S3,798

MAC-102,701

Glock-182,362

UMP-451,690

P2501,683

MP91,645

Lifetime map wins

8,063dust2

5,782inferno

2,354nuke

1,770train

1,732vertigo

1,184cbble

245lake

219office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

9Matches

56%Win rate

0.93Avg K/D

—ADR

47%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

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.

18.1%Headshot accuracy

33.6%Accuracy (enemy spotted)

39.0%Spray accuracy

86.1%Counter-strafing

12.9°Preaim

654msReaction time

33.1%T opening success

39.1%CT opening success

0.62Enemies flashed / flash

8.7%Flash assists

8.35HE damage / grenade

15.40Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9372° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–2	0.04	37%	27 Aug →
nuke	6–13	-0.04	15%	21 Aug →
cache	8–13	0.01	18%	20 Aug →
dust2	13–11	-0.02	11%	20 Aug →
mirage	1–13	0.03	13%	20 Aug →
dust2	13–1	-0.02	15%	20 Aug →
cache	16–14	0.02	16%	19 Aug →
mirage	13–4	0.03	19%	19 Aug →
cache	13–6	0.07	12%	19 Aug →
cache	13–6	0.08	18%	18 Aug →
cache	7–13	-0.04	9%	18 Aug →
nuke	11–13	-0.08	18%	17 Aug →
inferno	12–12	0.05	16%	16 Aug →
nuke	4–13	0.08	33%	16 Aug →
mirage	11–13	0.13	12%	16 Aug →
mirage	5–13	-0.05	19%	16 Aug →
cache	5–13	-0.03	35%	2 Aug →
dust2	13–8	0.04	5%	2 Aug →
cache	6–13	-0.05	17%	1 Aug →
cache	5–13	-0.02	7%	1 Aug →
mirage	13–10	-0.02	24%	1 Aug →
cache	3–13	0.06	8%	1 Aug →
cache	2–13	-0.01	25%	1 Aug →
anubis	8–13	-0.02	15%	30 Jul →
cache	15–15	0.01	23%	30 Jul →
nuke	2–13	-0.07	35%	30 Jul →
inferno	5–2	-0.07	38%	30 Jul →
nuke	13–4	-0.03	19%	30 Jul →
cache	1–4	-0.10	17%	30 Jul →
inferno	13–10	-0.05	20%	30 Jul →
dust2	6–13	0.05	25%	30 Jul →
mirage	4–13	-0.02	21%	30 Jul →
nuke	3–13	0.00	25%	29 Jul →
cache	4–13	0.05	19%	29 Jul →
overpass	11–13	0.04	15%	29 Jul →
mirage	12–12	-0.07	4%	28 Jul →
inferno	7–13	-0.10	17%	26 Jul →
dust2	1–13	-0.02	18%	26 Jul →
cache	7–13	-0.02	16%	26 Jul →
mirage	4–13	-0.03	15%	26 Jul →
inferno	13–4	0.06	30%	25 Jul →
mirage	5–13	0.01	17%	25 Jul →
mirage	11–13	-0.01	16%	22 Jul →
cache	13–10	0.02	11%	22 Jul →
overpass	10–13	0.03	17%	22 Jul →
inferno	7–13	-0.04	19%	16 Jul →
nuke	12–12	0.04	18%	16 Jul →
inferno	9–13	-0.03	15%	16 Jul →
ancient	13–4	0.03	32%	16 Jul →
inferno	13–7	0.03	23%	16 Jul →
dust2	5–13	-0.00	18%	16 Jul →
vertigo	3–13	-0.02	17%	16 Jul →
train	10–8	0.07	31%	16 Jul →
cache	13–4	0.11	33%	16 Jul →
cache	12–12	0.01	39%	15 Jul →
dust2	7–13	0.02	15%	15 Jul →
nuke	12–12	-0.03	19%	15 Jul →
inferno	8–13	0.09	14%	10 Jul →
dust2	13–10	-0.00	15%	10 Jul →
nuke	9–13	0.00	34%	7 Jul →
vertigo	5–13	0.02	31%	7 Jul →
cache	13–2	-0.05	24%	7 Jul →
vertigo	12–12	-0.01	23%	7 Jul →
cache	8–13	-0.03	20%	7 Jul →
cache	7–13	-0.01	20%	5 Jul →
mirage	13–7	-0.01	17%	5 Jul →
inferno	13–11	0.06	7%	2 Jul →
dust2	4–13	-0.02	7%	2 Jul →
dust2	8–13	0.03	18%	1 Jul →
mirage	3–13	-0.03	20%	1 Jul →
cache	9–13	0.01	19%	28 Jun →
mirage	13–11	-0.01	22%	26 Jun →
dust2	12–12	-0.01	17%	26 Jun →
vertigo	9–13	-0.03	22%	26 Jun →
dust2	4–13	-0.04	29%	24 Jun →
nuke	13–11	0.00	16%	24 Jun →
nuke	0–4	-0.14	0%	22 Jun →
dust2	9–13	0.04	22%	22 Jun →
cache	5–13	-0.00	16%	22 Jun →
dust2	12–12	-0.02	19%	22 Jun →
nuke	7–13	0.02	15%	22 Jun →
dust2	13–10	0.15	22%	21 Jun →
nuke	4–13	-0.05	19%	21 Jun →
nuke	6–13	-0.03	39%	20 Jun →
mirage	13–11	0.04	15%	20 Jun →
inferno	13–6	-0.01	16%	19 Jun →
inferno	12–12	-0.07	21%	14 Jun →
dust2	13–1	0.02	15%	14 Jun →
inferno	8–13	-0.02	13%	14 Jun →
dust2	11–13	0.03	27%	14 Jun →
dust2	9–13	0.01	27%	13 Jun →
mirage	12–12	0.01	14%	11 Jun →
nuke	13–11	-0.05	11%	11 Jun →
cache	11–13	-0.03	17%	10 Jun →
mirage	11–13	-0.05	11%	10 Jun →
inferno	13–6	0.05	12%	6 Jun →
inferno	13–11	0.03	23%	6 Jun →
dust2	13–7	0.01	18%	6 Jun →
mirage	2–13	-0.00	22%	6 Jun →
dust2	6–13	-0.00	23%	6 Jun →