Rice

Rice — CS2 Stats

US76561198880604500[U:1:920338772]Steam profile ↗✓ No bans

805Tracked matches55%Win rate2023Tracked since
CSDB Rating4.6 DevelopingClutch Specialist
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 805
−3.5ppWin rate · 58.6% → 55.2%

Rating over time

Premier CS Rating: 21,023 +4,968 6 Jun – 3 Jul · 8 days played
16,05521,338peak 21,3386 Jun3 Jul
21,338Peak Premier in tracked matches
32Days played since 2026-06-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim52
Positioning48
Utility12

0–100 skill scores via Leetify.

Recent form

COLD55–41–4Last 10055%Win rateWLWLLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −0.3pp headshot accuracy · −8ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 716ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 683ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 687ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.5 against its own average).

Aim5.2
Utility1.2
Positioning4.8
Opening Duels2.1
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim5.2
Positioning4.8
Utility1.2
Mechanics6.6
Opening Duels2.6
Win Impact6.7

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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time683ms−14ms
first ⅓ avg 697ms → last ⅓ avg 683ms
Headshot accuracy17.7%+1.2%
first ⅓ avg 16.4% → last ⅓ avg 17.7%

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.

Personal bests

0.17Best match rating · 13–4 · mirage, 5 Jul →
33%Best headshot accuracy · 13–6 · dust2, 23 Jun →
531msFastest reaction time · 7–4 · mirage, 14 Jul →
13–1Biggest win · mirage, 25 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2S2013–765%0.01
infernoC156–940%-0.00
nukeB136–746%-0.02
ancientS128–467%0.02
mirageA127–558%0.02
cacheA116–555%0.00
vertigoC104–640%0.02
anubis—31–233%0.01
overpass—33–0100%-0.02
train—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
88%Win rate
1.08Avg K/D
71.5ADR
44%Headshot %

Clutches & streaks

100%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%0.8814.8
Inferno2100%1.5012.0
Dust21100%1.2316.0
Nuke1100%0.8814.0

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.

18.1%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.4%Spray accuracy
79.9%Counter-strafing
10.3°Preaim
673msReaction time
23.4%T opening success
50.4%CT opening success
0.13Enemies flashed / flash
2.9%Flash assists
2.67HE damage / grenade
2.37Flashes / 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.

  1. 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 0.125 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 23.3792% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–80.0318%23 Sept →
vertigo7–13-0.0132%23 Sept →
cache13–110.0121%29 Aug →
vertigo10–13-0.0318%2 Aug →
nuke5–13-0.1114%24 Jul →
cache11–13-0.008%24 Jul →
ancient10–13-0.0219%23 Jul →
anubis4–130.0218%14 Jul →
dust24–13-0.0716%14 Jul →
mirage7–40.0315%14 Jul →
dust213–8-0.0214%12 Jul →
dust25–13-0.0521%12 Jul →
dust26–130.0023%9 Jul →
dust213–40.0312%8 Jul →
mirage13–40.1722%5 Jul →
inferno13–20.0628%5 Jul →
mirage13–80.0620%5 Jul →
overpass13–50.0123%5 Jul →
dust213–60.1417%5 Jul →
nuke12–12-0.072%3 Jul →
inferno7–13-0.0028%3 Jul →
cache13–90.0120%2 Jul →
ancient13–80.0221%29 Jun →
ancient16–140.0216%29 Jun →
mirage11–13-0.0716%29 Jun →
dust213–10-0.0526%29 Jun →
ancient16–14-0.0710%29 Jun →
dust29–13-0.0720%26 Jun →
anubis3–130.0214%26 Jun →
ancient13–110.0318%26 Jun →
dust213–10-0.0214%25 Jun →
mirage13–1-0.0611%25 Jun →
dust213–10-0.058%25 Jun →
nuke10–13-0.047%25 Jun →
mirage13–6-0.0313%25 Jun →
ancient13–80.0111%25 Jun →
inferno4–13-0.0912%25 Jun →
anubis13–1-0.0214%25 Jun →
dust213–60.0515%25 Jun →
ancient13–4-0.0018%25 Jun →
dust213–11-0.0213%24 Jun →
overpass13–6-0.0419%24 Jun →
dust213–20.0121%24 Jun →
inferno9–13-0.0422%24 Jun →
ancient7–130.0430%24 Jun →
cache13–10.056%24 Jun →
vertigo9–130.0913%23 Jun →
ancient13–60.0817%23 Jun →
nuke4–13-0.047%23 Jun →
mirage13–3-0.0310%23 Jun →
nuke13–6-0.0025%23 Jun →
dust213–60.1333%23 Jun →
inferno13–100.0618%22 Jun →
vertigo5–13-0.0211%22 Jun →
vertigo13–40.017%20 Jun →
nuke13–70.0612%20 Jun →
dust213–20.0216%20 Jun →
inferno13–20.0715%19 Jun →
mirage13–40.1019%19 Jun →
ancient11–130.0215%19 Jun →
inferno10–13-0.0318%19 Jun →
inferno7–13-0.0220%19 Jun →
nuke8–13-0.0523%18 Jun →
cache9–130.0322%18 Jun →
nuke13–80.0618%18 Jun →
ancient13–60.1016%18 Jun →
overpass13–3-0.0427%17 Jun →
cache13–70.0120%17 Jun →
dust29–130.0215%16 Jun →
nuke7–13-0.0122%16 Jun →
cache7–13-0.057%15 Jun →
nuke13–6-0.0513%15 Jun →
inferno8–130.0026%15 Jun →
mirage10–13-0.0015%14 Jun →
nuke13–100.0218%14 Jun →
vertigo8–130.0317%13 Jun →
cache6–130.0223%13 Jun →
inferno12–12-0.0017%11 Jun →
inferno12–120.0012%11 Jun →
cache13–30.0510%11 Jun →
ancient11–130.0413%10 Jun →
vertigo10–130.0120%10 Jun →
inferno13–70.0322%10 Jun →
inferno13–90.0311%10 Jun →
vertigo13–80.0918%10 Jun →
mirage7–130.0026%10 Jun →
dust23–130.0321%9 Jun →
mirage7–130.0325%9 Jun →
nuke7–13-0.0611%9 Jun →
dust211–130.1017%8 Jun →
dust213–30.0520%8 Jun →
mirage12–120.0411%8 Jun →
nuke13–110.0413%8 Jun →
train13–70.0111%8 Jun →
inferno13–6-0.0227%8 Jun →
cache13–5-0.0212%8 Jun →
cache9–13-0.064%7 Jun →
vertigo13–50.0515%7 Jun →
dust213–5-0.0217%6 Jun →
inferno2–13-0.0613%6 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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