Rice Paddle — CS2 Stats

76561198262205741[U:1:301940013]✓ No bans

1,080Tracked matches52%Win rate2020Tracked since

1,331Hours in CS1Hrs last 2 wks

CSDB Rating4.6 Developing

Ladder ranks via Leetify

Performance scores

Aim39

Positioning61

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateWLWLLWLWWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim3.9

Aggression6.3

Utility5.6

Positioning6.1

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 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 632ms 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

Aim3.9

Positioning6.1

Utility5.6

Mechanics3.9

Opening Duels2.4

Win Impact5.6

Composite 4.6/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time626ms−10ms

first ⅓ avg 636ms → last ⅓ avg 626ms

Headshot accuracy10.0%−1.2%

first ⅓ avg 11.2% → last ⅓ avg 10.0%

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 — inferno 4–1

13–2Biggest win — inferno

6Longest win streak

3–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 61% over 49dust2Weakest map · 35% over 37

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	49	30–19	61%	0.01
dust2	C	37	13–24	35%	0.01
nuke	—	4	3–1	75%	0.03
cache	—	3	1–2	33%	-0.01
overpass	—	2	0–2	0%	-0.03
ancient	—	2	1–1	50%	-0.01
mirage	—	2	1–1	50%	-0.02
anubis	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,392Lifetime kills

0.93K/D

1,925Matches

48.8%Match win rate · Top 50% of tracked players

31.5%Headshot %

8.8%Shot accuracy

3,815MVPs

808Hours (in match)

2,823Bombs planted

390Bombs defused

Most-used weapons

AK-477,613

M4A4 / M4A1-S5,337

P2000 / USP-S2,041

Glock-181,933

Desert Eagle1,906

MAC-101,802

Galil AR1,297

AWP1,255

MP71,074

Tec-9966

Lifetime map wins

15,066inferno

1,939dust2

1,260nuke

405vertigo

91train

28stmarc

27safehouse

16cbble

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.

10.1%Headshot accuracy

32.8%Accuracy (enemy spotted)

35.0%Spray accuracy

67.7%Counter-strafing

10.4°Preaim

632msReaction time

38.6%T opening success

40.2%CT opening success

0.59Enemies flashed / flash

6.1%Flash assists

10.60HE damage / grenade

10.85Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.1246% — below the 15% mark we flag
Aim Training →
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 38.6224% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–8	0.07	12%	16 Aug →
dust2	7–13	0.02	6%	16 Aug →
inferno	13–6	-0.02	11%	15 Aug →
dust2	8–13	0.01	4%	15 Aug →
inferno	1–13	-0.11	12%	15 Aug →
inferno	13–11	-0.01	16%	12 Aug →
inferno	9–13	-0.05	8%	8 Aug →
inferno	13–6	0.13	5%	8 Aug →
nuke	13–6	0.04	13%	7 Aug →
inferno	13–3	0.02	14%	7 Aug →
dust2	7–13	0.02	13%	7 Aug →
nuke	13–10	0.08	11%	5 Aug →
overpass	2–13	-0.11	4%	5 Aug →
ancient	11–13	0.01	9%	5 Aug →
dust2	11–13	0.03	18%	23 Jul →
inferno	13–9	0.00	9%	23 Jul →
inferno	10–13	-0.00	7%	16 Jul →
dust2	13–10	-0.05	10%	16 Jul →
dust2	11–13	0.01	10%	16 Jul →
inferno	12–12	0.10	15%	16 Jul →
dust2	10–13	-0.07	11%	12 Jul →
inferno	13–10	-0.04	3%	12 Jul →
dust2	5–13	-0.04	9%	12 Jul →
inferno	9–13	-0.01	2%	12 Jul →
inferno	13–7	0.09	10%	12 Jul →
inferno	13–10	0.08	9%	11 Jul →
dust2	13–4	0.06	13%	11 Jul →
inferno	13–5	-0.01	16%	10 Jul →
cache	13–7	0.03	18%	10 Jul →
dust2	10–13	0.02	9%	10 Jul →
inferno	9–13	-0.02	6%	9 Jul →
inferno	4–13	-0.02	12%	9 Jul →
inferno	13–6	0.06	8%	8 Jul →
inferno	12–12	0.03	18%	7 Jul →
inferno	13–11	-0.02	6%	1 Jul →
inferno	13–10	0.01	9%	30 Jun →
dust2	12–12	-0.02	8%	29 Jun →
dust2	8–13	-0.05	5%	29 Jun →
dust2	10–13	-0.01	15%	29 Jun →
dust2	6–13	0.03	16%	29 Jun →
dust2	2–11	0.00	12%	27 Jun →
inferno	13–8	0.03	7%	27 Jun →
inferno	4–1	0.14	6%	27 Jun →
mirage	5–13	-0.06	8%	26 Jun →
overpass	5–13	0.05	19%	26 Jun →
inferno	12–12	0.02	11%	24 Jun →
dust2	13–11	0.02	12%	24 Jun →
inferno	13–10	0.01	10%	23 Jun →
dust2	6–13	0.04	10%	20 Jun →
inferno	9–13	-0.01	5%	20 Jun →
inferno	7–13	-0.05	6%	20 Jun →
nuke	12–12	-0.02	7%	20 Jun →
inferno	13–10	0.06	5%	20 Jun →
ancient	13–9	-0.03	4%	20 Jun →
dust2	13–3	-0.01	11%	20 Jun →
dust2	7–13	-0.01	8%	20 Jun →
inferno	13–5	0.01	6%	18 Jun →
inferno	7–13	0.07	10%	18 Jun →
dust2	13–9	0.09	11%	18 Jun →
dust2	12–12	0.04	13%	18 Jun →
dust2	13–3	-0.02	23%	17 Jun →
dust2	12–12	0.08	24%	17 Jun →
dust2	13–3	0.11	14%	17 Jun →
inferno	5–13	0.01	16%	17 Jun →
inferno	2–13	-0.01	7%	15 Jun →
dust2	5–13	-0.06	9%	15 Jun →
inferno	13–4	0.12	11%	15 Jun →
inferno	11–13	-0.05	5%	15 Jun →
inferno	13–3	-0.03	12%	14 Jun →
mirage	16–13	0.02	8%	14 Jun →
inferno	13–8	0.03	12%	14 Jun →
inferno	12–12	0.05	5%	11 Jun →
inferno	6–13	-0.06	0%	11 Jun →
inferno	10–13	-0.02	12%	11 Jun →
cache	2–13	-0.02	19%	8 Jun →
inferno	12–12	-0.02	9%	8 Jun →
dust2	13–10	0.04	8%	8 Jun →
inferno	13–10	0.06	13%	8 Jun →
dust2	13–5	-0.02	7%	8 Jun →
inferno	13–6	-0.01	7%	8 Jun →
inferno	13–2	0.07	9%	6 Jun →
inferno	13–2	0.00	8%	6 Jun →
dust2	11–13	-0.02	8%	6 Jun →
inferno	13–5	0.02	9%	6 Jun →
nuke	13–7	0.02	8%	6 Jun →
inferno	13–7	0.05	11%	6 Jun →
dust2	13–5	0.07	12%	6 Jun →
cache	12–12	-0.04	8%	4 Jun →
dust2	4–13	-0.04	8%	4 Jun →
dust2	13–6	0.05	10%	2 Jun →
inferno	13–9	-0.03	21%	2 Jun →
dust2	7–13	-0.04	11%	2 Jun →
dust2	13–8	-0.01	8%	1 Jun →
dust2	8–13	0.01	18%	1 Jun →
dust2	6–13	0.04	19%	1 Jun →
dust2	13–7	0.02	11%	1 Jun →
inferno	13–4	-0.04	29%	1 Jun →
dust2	2–13	-0.07	20%	1 Jun →
inferno	13–6	-0.01	11%	27 May →
anubis	13–5	-0.00	17%	27 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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