Sushi — CS2 Stats

76561199076709955[U:1:1116444227]

1,311Tracked matches40%Win rate2023Tracked since
CSDB Rating3.2 Learning
Premier CS Rating5,884Light Blue band · top ~74.6% of ranked players (population est.)
CSDB Leaderboard#18175 of 23811 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGSushiPREMIER5,884 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning25
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY42553Last 10042%Win rateWLLWLLWLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.9
Aggression0.5
Utility4.8
Positioning2.5
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower 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

T-side openings. Opening success drops from 31% on CT to 10% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim3.9
Positioning2.5
Utility4.8
Mechanics6.6
Opening Duels0.1
Win Impact1.7

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time601ms−59ms
first ⅓ avg 660ms → last ⅓ avg 601ms
Headshot accuracy12.6%−0.0%
first ⅓ avg 12.6% → last ⅓ avg 12.6%

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.

Highlights

0.06Best rating — nuke 13–3
133Biggest win — nuke
3Longest win streak
813In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 50% over 12mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC26111542%-0.05
cacheB178947%-0.05
nukeB157847%-0.02
anubisB136746%-0.04
ancientB126650%-0.04
mirageD92722%-0.04
dust241325%-0.08
overpass31233%-0.04
italy1010%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
0%Win rate
0.58Avg K/D
59.4ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.326.0
Dust210%0.699.0
Train10%1.0018.0

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.

12.9%Headshot accuracy
27.8%Accuracy (enemy spotted)
29.1%Spray accuracy
79.6%Counter-strafing
11.1°Preaim
620msReaction time
9.9%T opening success
30.8%CT opening success
0.61Enemies flashed / flash
3.2%Flash assists
9.36HE damage / grenade
4.35Flashes / 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 12.904% — below the 15% mark we flag

    Aim Training
  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 9.9323% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0410%23 Aug
cache8–13-0.029%23 Aug
anubis11–13-0.076%23 Aug
nuke13–30.0613%23 Aug
dust27–13-0.1016%23 Aug
inferno9–130.0120%22 Aug
ancient13–10-0.049%22 Aug
inferno4–13-0.0812%21 Aug
mirage13–10-0.0016%21 Aug
nuke8–13-0.0420%21 Aug
anubis16–12-0.019%21 Aug
ancient8–13-0.065%21 Aug
inferno2–13-0.0319%21 Aug
anubis6–13-0.0716%20 Aug
inferno13–10-0.0710%20 Aug
cache13–6-0.0620%20 Aug
nuke10–13-0.0012%20 Aug
anubis13–16-0.0617%16 Aug
inferno13–9-0.0011%16 Aug
cache7–13-0.1013%11 Aug
inferno11–13-0.077%11 Aug
inferno13–11-0.0514%10 Aug
anubis10–13-0.108%10 Aug
ancient13–11-0.0315%9 Aug
cache13–3-0.055%9 Aug
nuke12–16-0.028%9 Aug
dust213–8-0.0929%1 Aug
cache6–13-0.0817%26 Jul
cache11–13-0.070%26 Jul
mirage14–160.0014%25 Jul
anubis13–5-0.0014%25 Jul
inferno8–8-0.077%25 Jul
cache11–13-0.1114%24 Jul
inferno1–13-0.1314%24 Jul
mirage6–13-0.0918%24 Jul
ancient13–8-0.066%24 Jul
nuke9–13-0.0212%24 Jul
inferno11–13-0.0511%24 Jul
inferno4–10-0.0325%19 Jul
cache13–4-0.057%11 Jul
inferno1–13-0.0513%11 Jul
cache11–13-0.0814%11 Jul
ancient4–13-0.057%11 Jul
cache13–40.0215%11 Jul
mirage10–13-0.0820%11 Jul
nuke7–13-0.0522%11 Jul
inferno7–9-0.1326%11 Jul
italy11–12-0.0123%8 Jul
nuke9–13-0.0714%8 Jul
inferno13–9-0.0217%2 Jul
overpass13–11-0.0816%2 Jul
nuke13–7-0.0220%2 Jul
anubis7–13-0.0414%2 Jul
mirage13–50.038%2 Jul
inferno15–15-0.0613%2 Jul
nuke6–13-0.0510%2 Jul
inferno11–13-0.0515%28 May
inferno16–14-0.0419%28 May
ancient10–130.028%26 May
inferno4–13-0.0618%26 May
ancient13–50.0011%26 May
dust24–13-0.0513%9 May
nuke13–70.0410%9 May
anubis13–110.0115%9 May
inferno13–11-0.0615%9 May
mirage7–13-0.0527%9 May
ancient6–13-0.1013%9 May
cache13–11-0.0415%2 May
dust28–13-0.0713%2 May
overpass4–130.014%2 May
cache13–9-0.027%2 May
anubis13–6-0.0413%2 May
cache13–9-0.029%2 May
cache4–13-0.097%2 May
cache13–40.0019%29 Apr
cache5–13-0.079%29 Apr
cache9–13-0.0215%29 Apr
mirage13–16-0.0112%25 Apr
inferno13–50.0113%25 Apr
anubis4–13-0.105%25 Apr
ancient13–9-0.0010%25 Apr
inferno11–13-0.0522%25 Apr
mirage2–13-0.1120%24 Apr
ancient6–13-0.1213%24 Apr
nuke13–60.0515%22 Apr
ancient10–13-0.0614%22 Apr
inferno13–5-0.0315%21 Apr
mirage14–16-0.093%21 Apr
nuke13–10-0.0515%18 Apr
inferno15–15-0.0421%18 Apr
nuke13–100.008%18 Apr
anubis9–13-0.062%18 Apr
nuke13–8-0.0111%18 Apr
inferno13–9-0.038%18 Apr
anubis13–50.0311%18 Apr
nuke14–16-0.0516%18 Apr
inferno13–10-0.0416%18 Apr
overpass7–13-0.0514%18 Apr
ancient13–90.0413%17 Apr
anubis13–11-0.0130%17 Apr

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 →