Sushi

Sushi — CS2 Stats

76561199107137802[U:1:1146872074]Steam profile ↗✓ No bans

113Tracked matches37%Win rate2024Tracked since
CSDB Rating3.6 LearningPositional Player
WingmanGold Nova III
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 7 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,334 +4,208 1 Nov16 Jan · 34 days played
4,1269,244peak 9,2441 Nov16 Jan
9,374Peak Premier in tracked matches
52Days played since 2025-10-07

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

Performance scores

Aim50
Positioning45
Utility14

0–100 skill scores via Leetify.

Recent form

COLD41563Last 10041%Win rateLLLLWLLWLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +5.1pp headshot accuracy · −61ms 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 534ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 607ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 638ms

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 (+2.2 against its own average).

Aim5.0
Utility1.4
Positioning4.5
Opening Duels1.0

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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 668ms 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

Aim5.0
Positioning4.5
Utility1.4
Mechanics6.0
Opening Duels0.1
Win Impact0.6

Composite 3.6/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time658ms−42ms
first ⅓ avg 700ms → last ⅓ avg 658ms
Headshot accuracy17.6%−0.9%
first ⅓ avg 18.5% → last ⅓ avg 17.6%

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

0.28Best match rating · 9–1 · vertigo, 16 Nov
44%Best headshot accuracy · 6–13 · dust2, 13 Dec
453msFastest reaction time · 3–9 · inferno, 25 May
13–0Biggest win · overpass, 14 Jun

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
116In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 50% over 22dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB22111150%-0.02
mirageC2191243%-0.03
ancientC2081240%-0.03
infernoD93633%-0.06
vertigoC73443%0.04
dust2D51420%-0.05
overpass42250%0.02
rooftop41325%-0.05
sanctum2020%-0.10
train2020%-0.04
debris110100%0.11
eldorado1010%-0.23
poseidon110100%-0.05
anubis110100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 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.

17.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.0%Spray accuracy
76.9%Counter-strafing
11.7°Preaim
668msReaction time
31.0%T opening success
29.9%CT opening success
0.21Enemies flashed / flash
0.5%Flash assists
5.20HE damage / grenade
1.28Flashes / 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 0.2127 — 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 31.028% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0122%12 Sept
ancient9–13-0.0217%12 Sept
nuke10–13-0.1225%9 Sept
mirage10–13-0.0428%9 Sept
vertigo9–30.1021%12 Aug
vertigo2–9-0.0726%12 Aug
overpass5–90.0221%11 Aug
debris9–70.1114%11 Aug
eldorado2–9-0.2320%11 Aug
vertigo4–9-0.0819%11 Aug
nuke13–20.147%17 Jun
nuke10–13-0.0719%14 Jun
mirage1–13-0.0515%14 Jun
overpass13–00.0921%14 Jun
inferno3–9-0.114%25 May
sanctum3–9-0.1817%11 May
poseidon9–2-0.0528%11 May
inferno9–50.0122%11 Apr
vertigo13–60.1612%11 Apr
anubis13–9-0.0217%4 Feb
ancient11–13-0.0517%4 Feb
sanctum3–9-0.0214%3 Feb
nuke13–60.004%3 Feb
nuke13–80.0110%16 Jan
dust210–13-0.0416%16 Jan
ancient8–13-0.0928%11 Jan
nuke14–16-0.0417%31 Dec
mirage7–13-0.037%30 Dec
nuke13–11-0.0620%29 Dec
nuke7–13-0.0217%29 Dec
mirage13–30.0728%28 Dec
mirage13–90.0315%28 Dec
nuke11–13-0.0716%27 Dec
mirage9–13-0.0022%27 Dec
mirage10–13-0.0713%24 Dec
dust28–130.0026%24 Dec
train8–13-0.080%24 Dec
mirage13–16-0.0620%24 Dec
nuke14–16-0.0028%22 Dec
dust213–11-0.1013%22 Dec
mirage16–13-0.0519%21 Dec
ancient7–13-0.0522%20 Dec
ancient2–13-0.1014%18 Dec
inferno9–13-0.056%18 Dec
train4–130.0114%17 Dec
ancient9–13-0.0514%17 Dec
mirage13–8-0.0717%17 Dec
vertigo8–8-0.0121%16 Dec
dust29–13-0.0423%16 Dec
inferno3–13-0.107%16 Dec
ancient13–5-0.0517%15 Dec
ancient13–60.0315%15 Dec
mirage13–110.0017%15 Dec
mirage16–14-0.0624%14 Dec
mirage8–13-0.0543%14 Dec
nuke10–13-0.049%14 Dec
dust26–13-0.0744%13 Dec
nuke13–110.0018%13 Dec
ancient11–13-0.0311%13 Dec
ancient6–13-0.089%13 Dec
ancient7–13-0.0613%12 Dec
ancient13–30.0013%11 Dec
nuke13–00.0625%11 Dec
mirage11–13-0.0113%10 Dec
mirage7–00.0118%10 Dec
ancient6–13-0.0915%6 Dec
mirage12–16-0.0023%6 Dec
inferno2–13-0.084%5 Dec
mirage7–13-0.0616%5 Dec
vertigo5–9-0.1316%4 Dec
nuke9–60.0323%4 Dec
nuke16–14-0.0321%30 Nov
mirage13–11-0.0819%28 Nov
ancient3–13-0.1119%26 Nov
inferno0–4-0.1233%20 Nov
mirage2–13-0.0820%20 Nov
overpass10–13-0.0222%17 Nov
ancient13–9-0.0114%17 Nov
vertigo9–10.2812%16 Nov
nuke4–13-0.0412%12 Nov
ancient13–80.0226%12 Nov
ancient3–13-0.0420%11 Nov
nuke16–14-0.0613%10 Nov
nuke5–9-0.0736%7 Nov
nuke9–60.0920%7 Nov
rooftop8–8-0.0217%6 Nov
inferno8–8-0.0335%6 Nov
nuke3–9-0.1325%6 Nov
inferno9–7-0.077%6 Nov
inferno13–9-0.0229%4 Nov
overpass13–3-0.0316%4 Nov
ancient13–11-0.0312%3 Nov
ancient13–80.1919%2 Nov
ancient13–8-0.0226%1 Nov
nuke16–12-0.059%1 Nov
mirage13–40.0026%31 Oct
rooftop3–9-0.0813%31 Oct
rooftop6–9-0.0915%31 Oct
mirage6–13-0.058%16 Oct
rooftop9–6-0.028%7 Oct

Match data via Leetify.

Recent teammates

Milestones

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