Sayushi

Sayushi — CS2 Stats

DE76561198380443361[U:1:420177633]Steam profile ↗✓ No bans

278Tracked matches53%Win rate2020Tracked since
831Hours in CS7Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating8,540Light Blue band · top ~61.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,540 +5,541 26 Aug – 25 Oct · 25 days played
2,9999,297peak 9,29726 Aug25 Oct
9,297Peak Premier in tracked matches
39Days played since 2025-08-03

Premier CS Rating

  • 757 below peak (9,297)
  • +3,541 over 30 days · improving
  • Next: Blue band at 10,000 — 1,460 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate30.0%39.9%42.0%12.0% short
Shot accuracy17.6%7.0%9.6%above
Kill/death ratio1.120.920.98above
Match win rate48.1%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSayushiPREMIER8,540 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning40
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLWLWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −15ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 727ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 696ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 704ms

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 (+1.8 against its own average).

Aim3.1
Utility4.7
Positioning4.0
Opening Duels0.0

Strong T-side openerLimited 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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 44% on T to 14% on CT — first contacts on the defending side are being lost.

Reaction time. 707ms 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

Aim3.1
Positioning4.0
Utility4.7
Mechanics5.3
Opening Duels1.7
Win Impact6.1

Composite 3.6/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time703ms+51ms
first ⅓ avg 652ms → last ⅓ avg 703ms
Headshot accuracy10.2%+0.9%
first ⅓ avg 9.3% → last ⅓ avg 10.2%

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 · 9–3 · inferno, 20 Oct →
32%Best headshot accuracy · 8–13 · dust2, 21 Sept →
430msFastest reaction time · 0–10 · mirage, 26 Aug →
13–0Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%-0.02
dust2C2410–1442%-0.02
nukeB179–853%-0.04
infernoD165–1131%-0.02
cacheS54–180%-0.01
anubisC52–340%-0.00
ancientS54–180%-0.03
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,566Lifetime kills
1.12K/D · Top 25% of Light Blue band
1,896Matches
48.1%Match win rate · Top 25% of Light Blue band
30.0%Headshot %
17.6%Shot accuracy · Top 10% of Light Blue band
3,238MVPs
454Hours (in match)
1,237Bombs planted
774Bombs defused

Most-used weapons

Lifetime map wins

2,099inferno
1,337dust2
789nuke
594vertigo
486office
236train
201assault
183italy

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.

10.0%Headshot accuracy
31.1%Accuracy (enemy spotted)
35.2%Spray accuracy
74.0%Counter-strafing
11.5°Preaim
707msReaction time
43.9%T opening success
13.9%CT opening success
0.48Enemies flashed / flash
9.0%Flash assists
10.24HE damage / grenade
2.99Flashes / 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 10.0225% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.5889ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.4767 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0713%25 Oct →
dust26–13-0.053%25 Oct →
dust213–40.008%20 Oct →
cache9–13-0.0617%20 Oct →
inferno9–30.136%20 Oct →
cache13–11-0.035%7 Oct →
nuke13–1-0.064%7 Oct →
anubis8–13-0.0313%7 Oct →
dust23–13-0.0210%7 Oct →
nuke16–13-0.094%6 Oct →
nuke11–13-0.0415%6 Oct →
dust22–13-0.096%5 Oct →
inferno0–13-0.0612%5 Oct →
nuke13–5-0.0511%1 Oct →
mirage13–5-0.018%1 Oct →
mirage6–13-0.028%1 Oct →
mirage4–13-0.016%29 Sept →
anubis13–8-0.0611%29 Sept →
mirage7–13-0.0219%28 Sept →
ancient13–100.026%28 Sept →
nuke13–50.0516%28 Sept →
inferno13–110.045%28 Sept →
cache13–50.016%28 Sept →
dust213–6-0.0713%28 Sept →
dust213–10-0.0915%27 Sept →
ancient13–8-0.084%27 Sept →
nuke13–50.029%27 Sept →
anubis5–13-0.0213%27 Sept →
mirage7–10.0914%27 Sept →
nuke5–13-0.0413%27 Sept →
dust24–130.0316%26 Sept →
inferno2–13-0.0617%26 Sept →
nuke13–100.0012%26 Sept →
cache13–60.0810%25 Sept →
nuke1–11-0.090%24 Sept →
dust213–6-0.023%24 Sept →
cache13–4-0.0415%23 Sept →
vertigo13–9-0.0211%23 Sept →
nuke6–13-0.0613%23 Sept →
mirage3–13-0.073%22 Sept →
inferno5–13-0.0224%22 Sept →
dust24–13-0.0515%22 Sept →
nuke13–5-0.0328%21 Sept →
dust28–13-0.0732%21 Sept →
ancient7–13-0.0721%21 Sept →
mirage8–30.0411%21 Sept →
inferno10–13-0.0215%20 Sept →
mirage13–50.0112%18 Sept →
mirage13–3-0.0310%14 Sept →
dust213–90.0315%10 Sept →
mirage16–140.0213%9 Sept →
dust25–13-0.0517%9 Sept →
dust26–13-0.035%7 Sept →
nuke4–13-0.097%7 Sept →
dust29–13-0.0322%31 Aug →
mirage9–13-0.1010%31 Aug →
mirage13–10.0532%31 Aug →
inferno4–13-0.115%30 Aug →
ancient13–6-0.0318%30 Aug →
nuke13–9-0.0212%30 Aug →
ancient2–00.000%30 Aug →
inferno7–13-0.0222%27 Aug →
mirage13–10-0.029%27 Aug →
mirage13–9-0.0113%27 Aug →
nuke9–13-0.078%26 Aug →
inferno13–70.0320%26 Aug →
dust211–130.000%26 Aug →
inferno13–9-0.0411%26 Aug →
mirage0–10-0.060%26 Aug →
nuke13–3-0.0113%26 Aug →
inferno6–90.0313%26 Aug →
inferno9–30.057%26 Aug →
inferno11–13-0.0212%26 Aug →
dust27–13-0.120%26 Aug →
mirage13–8-0.0314%25 Aug →
inferno6–9-0.1415%25 Aug →
dust210–130.0315%24 Aug →
mirage13–5-0.013%24 Aug →
anubis13–70.0514%24 Aug →
dust216–130.0010%23 Aug →
mirage11–9-0.0011%23 Aug →
dust210–13-0.038%23 Aug →
dust213–20.0515%23 Aug →
mirage1–13-0.013%23 Aug →
dust213–60.0916%21 Aug →
anubis4–130.0410%21 Aug →
mirage13–11-0.066%21 Aug →
dust213–00.0222%20 Aug →
mirage10–13-0.069%20 Aug →
nuke0–2-0.030%19 Aug →
mirage11–13-0.0413%17 Aug →
mirage0–3-0.070%15 Aug →
inferno12–12-0.0810%15 Aug →
mirage13–7-0.024%14 Aug →
dust213–10.034%14 Aug →
mirage4–130.026%5 Aug →
inferno14–160.0110%23 Sept →
mirage9–13-0.018%22 Aug →
nuke6–100.0019%18 Aug →
mirage3–10-0.0610%3 Aug →

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 →

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