Sammy Ricebot

Sammy Ricebot — CS2 Stats

76561198028129140[U:1:67863412]Steam profile ↗✓ No bans

683Tracked matches59%Win rate2022Tracked since
919Hours in CS3Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 57 days played since 26 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

57Days played since 2026-03-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim60
Positioning49
Utility23

0–100 skill scores via Leetify.

Recent form

HOT523612Last 10052%Win rateWLWWWWLWWL

Last 10 vs previous 10: +30pp win rate · −0.05 avg rating · −2.8pp headshot accuracy · −67ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 547ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 532ms

Last 20

  • 1163 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 566ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim6.0
Utility2.3
Positioning4.9
Opening Duels3.6

Limited utility dependence

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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.

Reaction time. 580ms 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

Aim6.0
Positioning4.9
Utility2.3
Mechanics5.0
Opening Duels3.4
Win Impact8.1

Composite 5.0/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time584ms−64ms
first ⅓ avg 648ms → last ⅓ avg 584ms
Headshot accuracy11.3%+1.4%
first ⅓ avg 9.9% → last ⅓ avg 11.3%

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.

Personal bests

0.16Best match rating · 13–11 · cache, 28 Aug
30%Best headshot accuracy · 13–3 · fachwerk, 7 Sept
438msFastest reaction time · 13–3 · fachwerk, 7 Sept
13–0Biggest win · overpass, 14 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
75In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 71% over 7nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
cacheC2191243%-0.01
dust2B158753%-0.02
infernoC125742%-0.03
nukeC104640%-0.00
ancientB84450%-0.03
mirageS75271%-0.02
vertigoB63350%-0.03
overpassS64267%-0.00
fachwerk330100%0.01
boulder31233%-0.04
shelter32167%-0.01
anubis32167%-0.02
office21150%-0.01
alpine110100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,511Lifetime kills
0.98K/D
1,911Matches
49.2%Match win rate · Top 25% of tracked players
29.5%Headshot %
13.4%Shot accuracy · Top 50% of tracked players
4,338MVPs
538Hours (in match)
1,588Bombs planted
281Bombs defused

Most-used weapons

Lifetime map wins

3,070dust2
1,727nuke
1,179inferno
623vertigo
608train
155office
114cbble
57assault

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.

11.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
41.6%Spray accuracy
72.5%Counter-strafing
9.9°Preaim
580msReaction time
39.4%T opening success
47.7%CT opening success
0.35Enemies flashed / flash
3.3%Flash assists
10.71HE damage / grenade
1.56Flashes / 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. 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 11.3943% — below the 15% mark we flag

    Aim Training
  2. 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 0.3541 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 39.4035% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–50.074%16 Sept
vertigo6–130.009%10 Sept
ancient13–4-0.065%10 Sept
cache13–7-0.038%8 Sept
inferno13–5-0.069%8 Sept
fachwerk13–3-0.0530%7 Sept
boulder1–13-0.1214%7 Sept
shelter13–7-0.0511%7 Sept
inferno13–3-0.049%7 Sept
nuke9–13-0.0414%7 Sept
shelter10–130.027%6 Sept
cache13–3-0.0321%6 Sept
cache8–13-0.0417%29 Aug
dust212–12-0.0322%29 Aug
office13–110.016%28 Aug
inferno13–60.0313%28 Aug
cache13–110.1616%28 Aug
nuke12–120.1011%28 Aug
overpass12–12-0.0515%28 Aug
vertigo6–13-0.0513%28 Aug
cache13–100.0311%28 Aug
boulder11–130.009%27 Aug
fachwerk13–50.0511%27 Aug
shelter7–2-0.008%27 Aug
fachwerk13–80.037%27 Aug
nuke9–13-0.0513%26 Aug
dust25–130.0213%25 Aug
office11–13-0.038%25 Aug
inferno8–130.028%25 Aug
inferno13–7-0.060%22 Aug
nuke13–3-0.018%22 Aug
overpass13–8-0.0212%21 Aug
anubis11–13-0.0310%21 Aug
cache6–13-0.088%21 Aug
cache2–13-0.0317%20 Aug
inferno10–13-0.0610%20 Aug
overpass13–00.0318%14 Aug
boulder13–8-0.0215%12 Aug
vertigo13–10-0.0216%12 Aug
dust213–8-0.0118%12 Aug
vertigo13–7-0.069%11 Aug
cache12–12-0.0213%10 Aug
ancient3–13-0.0411%7 Aug
dust213–70.0418%6 Aug
dust27–5-0.0114%26 Jul
anubis13–100.0215%26 Jul
cache7–13-0.0315%21 Jun
dust25–130.0818%15 Jun
mirage10–13-0.0512%14 Jun
cache13–30.1314%12 Jun
ancient11–13-0.049%12 Jun
mirage13–100.0210%5 Jun
overpass13–110.047%4 Jun
dust213–11-0.0013%3 Jun
cache12–12-0.069%1 Jun
dust26–13-0.1210%30 May
cache13–80.0212%29 May
dust213–6-0.0113%28 May
mirage8–13-0.0219%19 May
cache13–80.038%17 May
cache6–13-0.017%13 May
mirage13–30.0316%13 May
inferno2–13-0.0716%11 May
inferno12–12-0.046%10 May
nuke13–20.035%4 May
dust22–13-0.1012%3 May
cache13–100.0310%3 May
cache13–50.007%2 May
cache9–13-0.049%2 May
inferno11–13-0.038%2 May
cache10–13-0.0312%2 May
mirage13–4-0.077%1 May
cache7–13-0.057%1 May
alpine9–00.020%1 May
ancient13–3-0.098%1 May
cache8–13-0.099%30 Apr
cache2–13-0.0515%30 Apr
inferno13–8-0.039%28 Apr
dust213–11-0.058%28 Apr
ancient2–13-0.068%27 Apr
dust213–6-0.0415%24 Apr
inferno9–13-0.0313%24 Apr
nuke7–13-0.056%20 Apr
nuke12–12-0.073%14 Apr
mirage13–6-0.0310%14 Apr
vertigo13–9-0.035%13 Apr
ancient13–70.027%7 Apr
overpass12–12-0.0416%5 Apr
ancient12–12-0.0416%4 Apr
nuke13–60.0314%4 Apr
anubis13–3-0.0616%4 Apr
overpass13–80.0012%4 Apr
dust213–8-0.0210%2 Apr
inferno12–12-0.0310%1 Apr
dust212–12-0.0317%31 Mar
nuke6–13-0.0110%30 Mar
nuke13–110.0413%29 Mar
dust28–130.0110%28 Mar
mirage13–3-0.025%26 Mar
vertigo12–120.0112%26 Mar

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 →