Sushi

Sushi — CS2 Stats

US76561198158710367[U:1:198444639]Steam profile ↗✓ No bans

1,414Tracked matches48%Win rate2023Tracked since
2,788Hours in CS2Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGSushiPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning50
Utility50

0–100 skill scores via Leetify.

Recent form

COLD41–52–7Last 10041%Win rateLTLWWLTLTL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −2.2pp headshot accuracy · +111ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 722ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 718ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 663ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.8
Utility5.0
Positioning5.0
Opening Duels3.2
Clutch1.2

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

ZywOo

Plays most like ZywOo 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

Reaction time. 650ms 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

Aim6.8
Positioning5.0
Utility5.0
Mechanics6.2
Opening Duels3.9
Win Impact4.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time650ms−3ms
first ⅓ avg 653ms → last ⅓ avg 650ms
Headshot accuracy18.1%+2.2%
first ⅓ avg 15.9% → last ⅓ avg 18.1%

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

0.13Best match rating · 12–12 · mirage, 16 Aug →
43%Best headshot accuracy · 6–13 · anubis, 22 Aug →
484msFastest reaction time · 13–3 · inferno, 7 Sept →
13–2Biggest win · cache, 30 Jul →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 64% over 11mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%-0.02
cacheC198–1142%-0.02
mirageD154–1127%-0.02
anubisC145–936%-0.02
infernoA117–464%-0.01
ancientB63–350%-0.02
nuke—41–325%-0.06
train—10–10%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,232Lifetime kills
0.84K/D
3,439Matches
37.9%Match win rate
41.0%Headshot %
13.5%Shot accuracy
4,867MVPs
1,258Hours (in match)
1,618Bombs planted
517Bombs defused

Most-used weapons

Lifetime map wins

14,899dust2
2,319inferno
1,320nuke
613train
379vertigo
83lake
74cbble
49safehouse

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

Faceit stats

Combat

138Matches
48%Win rate
0.69Avg K/D
59.4ADR
41%Headshot %

Clutches & streaks

26%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2635%0.6010.8
Inferno2157%0.7210.9
Ancient2152%0.6711.6
Dust22065%0.8213.0
Anubis1844%0.6610.6
Vertigo933%0.6010.4
Train10%0.071.0

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.

19.2%Headshot accuracy
37.1%Accuracy (enemy spotted)
36.6%Spray accuracy
77.8%Counter-strafing
9.7°Preaim
650msReaction time
41.1%T opening success
50.0%CT opening success
0.67Enemies flashed / flash
2.4%Flash assists
9.99HE damage / grenade
6.57Flashes / match

Recommended for you

Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.1110%7 Nov →
dust212–12-0.0433%7 Nov →
cache10–13-0.0814%7 Nov →
inferno13–30.0210%10 Oct →
dust213–9-0.0521%10 Oct →
dust24–13-0.0623%9 Oct →
cache15–15-0.0517%9 Oct →
ancient6–13-0.089%5 Oct →
dust212–120.0118%5 Oct →
cache8–13-0.0612%26 Sept →
mirage7–13-0.0121%26 Sept →
nuke13–5-0.0222%7 Sept →
nuke1–13-0.1210%7 Sept →
inferno13–30.0211%7 Sept →
anubis12–12-0.009%7 Sept →
dust213–70.018%7 Sept →
train10–130.0530%6 Sept →
dust27–13-0.0038%4 Sept →
ancient13–50.0420%4 Sept →
anubis11–130.0420%4 Sept →
mirage13–8-0.0114%22 Aug →
dust213–7-0.0326%22 Aug →
anubis6–13-0.0643%22 Aug →
dust213–8-0.0324%22 Aug →
dust213–90.019%22 Aug →
cache13–8-0.0219%16 Aug →
mirage12–120.1318%16 Aug →
mirage13–90.0518%16 Aug →
dust23–130.029%16 Aug →
cache10–130.0136%16 Aug →
anubis10–13-0.046%16 Aug →
inferno3–13-0.0414%16 Aug →
dust213–8-0.067%15 Aug →
cache13–8-0.057%12 Aug →
inferno7–13-0.0013%9 Aug →
dust211–130.0222%9 Aug →
mirage8–13-0.099%9 Aug →
anubis9–13-0.0211%9 Aug →
nuke4–13-0.0519%9 Aug →
ancient7–130.0115%9 Aug →
anubis13–60.016%9 Aug →
dust23–13-0.0911%9 Aug →
cache10–130.0222%8 Aug →
mirage8–130.0318%8 Aug →
dust213–80.065%8 Aug →
inferno13–30.0213%8 Aug →
dust211–13-0.0214%7 Aug →
anubis13–9-0.015%7 Aug →
dust216–13-0.016%7 Aug →
mirage15–15-0.0014%7 Aug →
cache13–100.0115%3 Aug →
dust25–13-0.0514%2 Aug →
inferno4–13-0.0415%2 Aug →
mirage11–13-0.0211%2 Aug →
ancient13–10-0.0221%2 Aug →
anubis13–16-0.0519%2 Aug →
cache8–13-0.0429%2 Aug →
dust26–130.0415%2 Aug →
cache13–10-0.0226%1 Aug →
dust28–13-0.0813%1 Aug →
dust27–130.0315%1 Aug →
mirage13–7-0.0612%1 Aug →
inferno13–50.0423%1 Aug →
cache10–130.0119%1 Aug →
dust213–10-0.0520%1 Aug →
dust29–13-0.0218%1 Aug →
dust213–11-0.0615%31 Jul →
inferno13–8-0.056%31 Jul →
anubis13–3-0.0214%31 Jul →
dust213–11-0.0216%31 Jul →
dust213–7-0.0814%31 Jul →
anubis7–13-0.0428%31 Jul →
ancient13–3-0.0213%31 Jul →
cache13–11-0.0216%31 Jul →
cache13–20.0839%30 Jul →
dust211–13-0.0011%30 Jul →
cache8–13-0.0317%30 Jul →
mirage12–12-0.0515%29 Jul →
inferno9–13-0.0320%26 Jul →
anubis13–110.0116%26 Jul →
cache9–13-0.0617%26 Jul →
dust28–13-0.0816%26 Jul →
dust210–13-0.0413%26 Jul →
anubis4–13-0.1219%26 Jul →
inferno13–6-0.0626%26 Jul →
dust24–13-0.068%26 Jul →
dust213–50.0339%26 Jul →
cache5–13-0.0317%26 Jul →
ancient5–13-0.0412%25 Jul →
anubis6–13-0.0418%25 Jul →
nuke13–16-0.048%25 Jul →
inferno13–10-0.044%25 Jul →
cache13–5-0.015%25 Jul →
mirage13–9-0.0214%25 Jul →
anubis13–90.0110%25 Jul →
mirage5–13-0.0619%25 Jul →
cache13–11-0.0015%25 Jul →
mirage4–13-0.0125%25 Jul →
cache4–13-0.104%25 Jul →
mirage4–13-0.0611%25 Jul →

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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