~Yūta

~Yūta — CS2 Stats

RU76561198112021833[U:1:151756105]Steam profile ↗✓ No bans

793Tracked matches55%Win rate2020Tracked since
1,797Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating21,098Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#69435 of 261546 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,098 → 21,098
+1Tracked matches · now 793
0.0ppWin rate · 55.2% → 55.2%

Rating over time

Premier CS Rating: 21,098 -5,135 25 Jun – 27 Oct · 20 days played
19,71626,720peak 26,72025 Jun27 Oct
26,868Peak Premier in tracked matches
31Days played since 2026-06-24

Premier CS Rating

  • 5,622 below peak (26,720)
  • -745 over 90 days
  • Next: Red band at 25,000 — 3,902 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-27
  • Purple band first seen 2026-10-27

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 Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate39.0%48.2%50.9%11.9% short
Shot accuracy14.0%13.2%13.7%above
Kill/death ratio1.171.071.09above
Match win rate41.8%46.9%48.4%6.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG~YūtaFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER21,098 · Pink bandcsdb.gg/stats

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Performance scores

Aim89
Positioning53
Utility41

0–100 skill scores via Leetify.

Recent form

COLD53–45–2Last 10053%Win rateLLWLLTWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · +16ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 497ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 488ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 479ms

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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.9
Utility4.1
Positioning5.3
Opening Duels2.1
Clutch4.4

Sharp aimerStrong CT-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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning5.3
Utility4.1
Mechanics6.6
Opening Duels2.7
Win Impact6.7

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time483ms−69ms
first ⅓ avg 553ms → last ⅓ avg 483ms
Headshot accuracy18.9%+1.0%
first ⅓ avg 17.9% → last ⅓ avg 18.9%

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

0.26Best match rating · 13–9 · ancient, 28 Aug →
48%Best headshot accuracy · 12–0 · anubis, 13 Oct →
375msFastest reaction time · 6–13 · dust2, 23 Oct →
13–0Biggest win · nuke, 12 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 82% over 11infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.00
ancientB189–950%0.04
cacheA127–558%0.03
nukeS119–282%0.00
anubisA116–555%0.01
infernoC104–640%0.01
mirageC73–443%0.00
train—22–0100%0.06
overpass—21–150%0.06
vertigo—21–150%0.07
italy—11–0100%0.09
office—11–0100%0.01
stronghold—10–10%-0.01
warden—10–10%0.04

Across the last 100 tracked matches.

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

Lifetime stats

127,629Lifetime kills
1.17K/D · Top 50% of Level 9 players
4,268Matches
41.8%Match win rate
39.0%Headshot %
14.0%Shot accuracy · Top 50% of Level 9 players
10,382MVPs
1,797Hours (in match)
2,567Bombs planted
954Bombs defused

Most-used weapons

AK-4743,034
AWP19,024
FAMAS2,994
SG 5532,651
AUG2,051
MP91,834

Lifetime map wins

11,236dust2
4,982inferno
2,531nuke
814vertigo
666train
325office
311cbble
133italy

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

Faceit stats

Combat

126Matches
62%Win rate
1.39Avg K/D
88.9ADR
38%Headshot %

Clutches & streaks

42%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23468%1.4817.7
Ancient1573%1.3019.1
Inferno850%1.3915.4
Nuke771%1.4521.6
Mirage757%2.0819.9
Cache667%1.2615.5
Anubis520%1.2418.8
Vertigo2100%1.4431.5

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.

17.6%Headshot accuracy
39.6%Accuracy (enemy spotted)
40.0%Spray accuracy
79.5%Counter-strafing
7.2°Preaim
484msReaction time
31.7%T opening success
49.6%CT opening success
0.51Enemies flashed / flash
2.6%Flash assists
6.74HE damage / grenade
3.28Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2799 — below the 4 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 31.7041% — below the 40% mark we flag

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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0418%23 Oct →
dust26–13-0.0513%23 Oct →
train13–6-0.0022%23 Oct →
overpass3–130.1228%23 Oct →
cache9–13-0.0113%22 Oct →
ancient15–150.0510%22 Oct →
anubis13–90.0120%22 Oct →
inferno6–130.0119%22 Oct →
ancient11–130.0115%15 Oct →
anubis13–30.0718%15 Oct →
inferno13–50.0218%15 Oct →
mirage3–130.0225%15 Oct →
dust211–13-0.0012%14 Oct →
anubis12–2-0.0117%14 Oct →
train13–10.1217%13 Oct →
dust24–130.0115%13 Oct →
cache13–20.0218%13 Oct →
anubis12–00.0748%13 Oct →
overpass6–2-0.0022%13 Oct →
mirage7–13-0.0316%11 Oct →
anubis4–13-0.050%29 Sept →
vertigo13–50.0921%28 Aug →
ancient13–90.2612%28 Aug →
nuke13–20.1424%28 Aug →
cache13–20.2122%28 Aug →
inferno13–70.1520%28 Aug →
ancient13–90.0319%24 Aug →
nuke1–13-0.1016%24 Aug →
mirage10–13-0.0319%24 Aug →
ancient13–110.0113%24 Aug →
mirage13–8-0.0130%23 Aug →
italy13–20.0919%20 Aug →
office13–70.0125%20 Aug →
nuke22–200.0516%13 Aug →
inferno7–9-0.0414%12 Aug →
ancient9–13-0.0223%12 Aug →
dust20–13-0.080%5 Aug →
anubis14–160.0115%4 Aug →
dust213–11-0.0116%4 Aug →
cache8–130.0418%4 Aug →
ancient13–6-0.0210%4 Aug →
inferno4–13-0.047%3 Aug →
ancient13–60.0421%3 Aug →
dust23–13-0.0326%1 Aug →
mirage13–10.0119%1 Aug →
dust213–40.1723%31 Jul →
inferno13–80.0415%31 Jul →
nuke13–5-0.0132%31 Jul →
ancient16–130.0227%31 Jul →
dust213–10-0.0122%30 Jul →
cache16–14-0.0319%23 Jul →
ancient5–13-0.0122%23 Jul →
dust213–100.0110%23 Jul →
anubis13–30.047%23 Jul →
cache13–7-0.0017%23 Jul →
dust22–90.0325%23 Jul →
dust213–10.0119%23 Jul →
cache13–50.1428%23 Jul →
inferno11–130.0238%19 Jul →
cache2–130.0411%19 Jul →
dust213–60.0219%18 Jul →
dust23–13-0.0220%18 Jul →
cache13–50.0035%18 Jul →
ancient13–80.0615%17 Jul →
dust20–13-0.050%17 Jul →
mirage13–70.0319%16 Jul →
ancient13–80.0410%16 Jul →
dust213–30.0726%16 Jul →
nuke13–30.0111%16 Jul →
mirage11–130.0319%16 Jul →
nuke13–11-0.0412%16 Jul →
dust213–6-0.0326%16 Jul →
inferno8–13-0.0424%16 Jul →
inferno11–130.0110%12 Jul →
anubis13–9-0.0118%12 Jul →
dust29–13-0.0315%12 Jul →
ancient10–130.0716%12 Jul →
ancient13–16-0.0310%12 Jul →
cache13–60.0215%12 Jul →
dust27–130.0217%12 Jul →
cache6–13-0.0610%12 Jul →
nuke13–00.0217%12 Jul →
anubis9–130.0318%8 Jul →
inferno9–4-0.0423%8 Jul →
ancient8–130.0223%8 Jul →
vertigo11–130.0620%8 Jul →
cache3–13-0.0518%8 Jul →
nuke13–7-0.0227%8 Jul →
ancient12–120.0912%8 Jul →
stronghold5–13-0.0125%3 Jul →
dust23–13-0.0732%3 Jul →
nuke13–40.0220%3 Jul →
anubis9–130.0113%3 Jul →
ancient13–90.1610%2 Jul →
dust211–130.0722%29 Jun →
anubis7–13-0.0417%29 Jun →
dust213–10-0.0120%29 Jun →
ancient11–13-0.048%25 Jun →
nuke13–100.0028%25 Jun →
warden10–130.0413%24 Jun →

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 →

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