山川 宇衣 (Ui-tan)

山川 宇衣 (Ui-tan) — CS2 Stats

FM76561198227165872[U:1:266900144]Steam profile ↗✓ No bans

610Tracked matches39%Win rate2021Tracked since
1,902Hours in CS3Hrs last 2 wks
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating19,711Top 50% of 183,637 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)
CSDB Leaderboard#80533 of 229145 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (7 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 31 days played since 24 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,711 -5,288 24 Apr19 Sept · 27 days played
19,62825,885peak 25,88524 Apr19 Sept
26,007Peak Premier in tracked matches
31Days played since 2026-04-24

Premier CS Rating

  • 6,174 below peak (25,885)
  • +83 over 30 days · steady
  • -3,563 over 90 days
  • Next: Pink band at 20,000 289 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches14−3
Win rate0%25%−25pp
K/D1.381.10+0.28
Headshot %66%56%+10pp

Measured 10 Sep 202619 Sep 2026; previous 5 Sep 2026 → 10 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=35,873), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.2%44.3%46.9%7.7% short
Shot accuracy11.6%11.8%13.0%1.4% short
Kill/death ratio1.151.031.08above
Match win rate45.6%45.2%46.7%1.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG山川 宇衣 (Ui-tan)PREMIER19,711 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning66
Utility56

0–100 skill scores via Leetify.

Recent form

COLD42553Last 10042%Win rateTWLLLLWLWT

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.5pp headshot accuracy · −13ms reaction

Win rate 0pp 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

  • 131 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 547ms

Last 10

  • 352 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 619ms

Last 20

  • 6122 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 626ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.6
Utility5.6
Positioning6.6
Opening Duels6.9

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

m0NESY

Plays most like m0NESY 74% 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim5.6
Positioning6.6
Utility5.6
Mechanics6.1
Opening Duels6.5
Win Impact1.4

Composite 5.5/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time628ms+40ms
first ⅓ avg 588ms → last ⅓ avg 628ms
Headshot accuracy19.7%+6.6%
first ⅓ avg 13.0% → last ⅓ avg 19.7%

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

0.12Best match rating · 9–13 · inferno, 7 Aug
44%Best headshot accuracy · 1–13 · nuke, 5 Aug
383msFastest reaction time · 9–13 · ancient, 13 May
13–2Biggest win · ancient, 24 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
55In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 65% over 17infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientC31121939%-0.00
nukeC1771041%0.00
anubisS1711665%0.00
infernoD134931%-0.01
overpassB115645%-0.00
cacheD93633%-0.02
dust21010%0.04
mirage1010%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,266Lifetime kills
1.15K/D · Top 25% of Purple band
2,493Matches
45.6%Match win rate · Top 50% of Purple band
39.2%Headshot %
11.6%Shot accuracy
6,938MVPs
1,026Hours (in match)
3,393Bombs planted
738Bombs defused

Most-used weapons

AK-4720,649
AWP6,268
MP93,132
MAC-102,677
FAMAS1,292

Lifetime map wins

6,932vertigo
5,521nuke
4,792train
1,533inferno
218dust2
95office
93italy
18cbble

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.

19.8%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.1%Spray accuracy
77.3%Counter-strafing
10.8°Preaim
629msReaction time
46.7%T opening success
65.0%CT opening success
0.52Enemies flashed / flash
10.0%Flash assists
8.91HE damage / grenade
7.19Flashes / match

Recommended for you

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 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno15–150.0339%12 Sept
ancient13–70.0722%5 Sept
nuke11–130.0118%5 Sept
inferno5–13-0.0814%5 Sept
nuke10–130.0421%5 Sept
nuke1–6-0.1114%17 Aug
anubis13–80.1018%15 Aug
ancient10–13-0.0315%15 Aug
nuke13–60.0721%15 Aug
cache15–15-0.0319%9 Aug
ancient10–130.0212%9 Aug
anubis13–11-0.0610%9 Aug
inferno10–13-0.0012%9 Aug
inferno13–70.0121%7 Aug
ancient7–130.0229%7 Aug
inferno9–130.1213%7 Aug
ancient7–13-0.0213%7 Aug
cache13–40.0517%5 Aug
inferno8–13-0.0934%5 Aug
nuke1–13-0.0544%5 Aug
ancient5–13-0.0410%5 Aug
dust28–130.0425%4 Aug
anubis16–130.0617%4 Aug
ancient13–80.0427%29 Jul
mirage4–130.0916%29 Jul
ancient13–60.0413%29 Jul
cache10–13-0.0315%27 Jul
ancient6–130.0020%27 Jul
nuke13–100.0319%27 Jul
inferno13–80.0424%27 Jul
ancient13–10-0.0230%27 Jul
nuke13–70.0110%27 Jul
ancient14–160.0018%26 Jul
cache9–13-0.0517%26 Jul
ancient13–160.0112%26 Jul
anubis13–9-0.0210%26 Jul
nuke13–110.0931%26 Jul
cache13–9-0.0213%25 Jul
nuke13–60.0516%23 Jul
anubis11–130.0012%23 Jul
anubis13–90.0110%23 Jul
cache3–13-0.0840%18 Jul
ancient16–12-0.0214%18 Jul
cache13–90.0014%18 Jul
cache11–130.0016%11 Jul
anubis13–5-0.0012%11 Jul
ancient13–7-0.0413%11 Jul
cache10–13-0.0212%9 Jul
anubis8–13-0.0315%9 Jul
inferno13–160.0220%2 Jul
ancient10–130.0218%2 Jul
inferno8–13-0.0812%27 Jun
overpass5–13-0.0421%27 Jun
ancient7–13-0.008%27 Jun
nuke10–130.0212%27 Jun
anubis13–100.0519%24 Jun
inferno16–130.0120%24 Jun
overpass13–80.0415%24 Jun
ancient13–20.0213%24 Jun
overpass4–13-0.076%18 Jun
nuke0–13-0.0910%18 Jun
inferno2–13-0.0324%18 Jun
anubis16–130.0118%18 Jun
overpass9–13-0.0211%18 Jun
nuke6–13-0.0120%18 Jun
ancient13–90.0214%16 Jun
nuke13–90.0210%15 Jun
ancient5–13-0.0020%15 Jun
ancient13–10-0.0514%15 Jun
inferno13–100.0214%5 Jun
nuke9–13-0.0614%5 Jun
anubis4–13-0.0314%5 Jun
nuke4–13-0.0422%5 Jun
ancient7–13-0.0118%5 Jun
nuke13–40.1115%4 Jun
ancient13–60.0415%27 May
anubis2–13-0.097%27 May
ancient10–13-0.0312%27 May
overpass13–70.0112%27 May
nuke13–16-0.0310%20 May
ancient13–5-0.0113%20 May
ancient9–130.0021%20 May
anubis13–90.0210%20 May
ancient3–13-0.0122%13 May
anubis15–15-0.058%13 May
ancient9–13-0.1115%13 May
ancient5–130.0211%10 May
overpass10–130.0216%10 May
anubis8–130.0015%7 May
overpass13–20.0212%7 May
ancient4–13-0.094%4 May
overpass16–120.0113%4 May
overpass13–110.016%24 Apr
anubis13–110.0410%24 Apr
ancient16–140.1010%24 Apr
overpass11–130.0216%24 Apr
ancient4–13-0.0415%24 Apr
inferno4–13-0.079%24 Apr
anubis13–9-0.0313%24 Apr
overpass10–13-0.044%24 Apr

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 →