Unohana Yachiru

Unohana Yachiru — CS2 Stats

76561199388768170[U:1:1428502442]Steam profile ↗✓ No bans

741Tracked matches46%Win rate2024Tracked since
774Hours in CS77Hrs last 2 wks
CSDB Rating3.1 LearningPositional Player
FaceitLevel 5 · 911 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 911 → 911
+19Tracked matches · now 741
+3.6ppWin rate · 42.9% → 46.4%
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. 59 days played since 28 Sep 2025. 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: 3,759 +1,046 26 Nov12 Jan · 10 days played
1,5063,919peak 3,91926 Nov12 Jan
Faceit ELO: 911 +0 1 Sept19 Sept · 2 observations
911911peak 9111 Sept19 Sept
3,919Peak Premier in tracked matches
911Highest Faceit ELO seen on CSDB
59Days played since 2025-09-28

Faceit ELO

  • At peak — 911
  • Next: Level 5 at 1,051 140 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-01
  • Level 3 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=12,790), 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 5 medianLevel 6 medianvs Level 6
Headshot rate37.1%43.8%44.8%7.7% short
Shot accuracy0.4%12.0%12.5%12.1% short
Kill/death ratio0.871.021.040.16 short
Match win rate44.7%44.7%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUnohana YachiruFACEITLevel 5 · 911 ELOSTANDINGTop 67.6% of rankedPEAK ELO911csdb.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

Aim40
Positioning40
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWWLLWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −8.6pp headshot accuracy · −100ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 633ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 641ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 691ms

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 PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim4.0
Utility3.3
Positioning4.0
Opening Duels1.6
Clutch3.4

Limited 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

jL

Plays most like jL 82% 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. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0
Positioning4.0
Utility3.3
Mechanics3.1
Opening Duels1.3
Win Impact3.8

Composite 3.1/10 (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 rating0.01+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time637ms−84ms
first ⅓ avg 720ms → last ⅓ avg 637ms
Headshot accuracy13.8%−0.5%
first ⅓ avg 14.3% → last ⅓ avg 13.8%

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

0.23Best match rating · 9–2 · inferno, 7 Jan
40%Best headshot accuracy · 9–5 · inferno, 31 Jan
406msFastest reaction time · 2–13 · dust2, 21 Nov
13–1Biggest win · dust2, 4 Jan

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
1010In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 53% over 19dust2Weakest map · 43% over 28
MapGradePlayedRecordWin rateAvg rating
infernoB29151452%0.02
dust2C28121643%-0.01
mirageB1910953%0.00
anubisB63350%-0.02
nuke43175%0.05
ancient32167%0.02
overpass3030%-0.03
palacio21150%-0.07
cache1010%-0.02
poseidon110100%0.07
office1010%-0.10
train110100%-0.00
golden110100%0.07
vertigo1010%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,313Lifetime kills
0.87K/D
870Matches
44.7%Match win rate
37.1%Headshot %
0.4%Shot accuracy
1,659MVPs
884Hours (in match)
1,225Bombs planted
245Bombs defused

Most-used weapons

Lifetime map wins

2,050dust2
1,500inferno
662nuke
109train
69vertigo
22office
3ar_baggage
2italy

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

Faceit stats

Combat

654Matches
48%Win rate
1.04Avg K/D
72.4ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage19044%1.0314.6
Dust215442%0.9713.8
Inferno10250%0.9514.7
Ancient7862%1.2115.7
Nuke5155%1.1315.6
Anubis4347%1.0716.4
Overpass1631%0.9314.1
Cache1050%1.1619.1

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.

12.4%Headshot accuracy
35.0%Accuracy (enemy spotted)
34.3%Spray accuracy
63.7%Counter-strafing
10.6°Preaim
644msReaction time
27.4%T opening success
40.3%CT opening success
0.66Enemies flashed / flash
0.8%Flash assists
6.54HE damage / grenade
2.31Flashes / 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 12.4122% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 2.3055 — below the 4 mark we flag

    Grenade Lineups
  3. 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 27.4443% — below the 40% mark we flag

Spend your practice time on Dust 2

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

43% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–70.0018%21 Sept
mirage13–110.0814%13 Sept
mirage14–16-0.029%6 Sept
cache16–19-0.029%3 Sept
inferno13–90.0922%28 Aug
anubis11–13-0.0115%26 Aug
mirage10–13-0.066%24 Aug
inferno9–13-0.0610%21 Aug
anubis13–11-0.059%21 Aug
mirage13–8-0.0111%16 Aug
dust213–90.0117%12 Aug
ancient10–13-0.0216%6 Aug
mirage12–12-0.018%20 Mar
dust24–13-0.0411%21 Feb
mirage13–11-0.0320%4 Feb
inferno11–13-0.0217%2 Feb
dust213–20.0132%2 Feb
inferno9–50.1640%31 Jan
nuke9–60.1021%28 Jan
poseidon9–30.0725%28 Jan
inferno8–130.0216%28 Jan
dust215–150.0210%27 Jan
office0–2-0.100%26 Jan
mirage13–50.1710%26 Jan
anubis13–100.016%26 Jan
anubis7–13-0.0312%26 Jan
dust211–13-0.0214%24 Jan
anubis13–11-0.0510%21 Jan
anubis10–13-0.0012%21 Jan
inferno10–130.067%12 Jan
dust25–13-0.0216%11 Jan
train13–10-0.0012%11 Jan
dust213–6-0.024%7 Jan
inferno6–20.1313%7 Jan
inferno9–20.2320%7 Jan
dust23–130.0113%6 Jan
overpass9–13-0.0111%6 Jan
mirage15–150.0115%6 Jan
nuke13–110.0910%4 Jan
ancient13–40.1111%4 Jan
mirage13–50.028%4 Jan
dust213–10.0910%4 Jan
dust25–13-0.0227%2 Jan
dust27–130.0616%1 Jan
inferno13–11-0.0515%1 Jan
mirage13–11-0.067%1 Jan
inferno9–20.048%1 Jan
inferno13–110.0313%1 Jan
mirage13–80.053%31 Dec
mirage5–13-0.082%28 Dec
dust27–13-0.0711%27 Dec
inferno2–130.0212%19 Dec
inferno6–9-0.0717%19 Dec
inferno9–20.2126%19 Dec
inferno4–90.0118%12 Dec
mirage13–80.0618%7 Dec
inferno9–6-0.0818%5 Dec
inferno11–13-0.0611%4 Dec
inferno3–9-0.0917%4 Dec
inferno13–8-0.0112%2 Dec
ancient13–8-0.0315%1 Dec
mirage13–60.0921%28 Nov
mirage11–13-0.0614%27 Nov
overpass11–130.0112%27 Nov
mirage13–70.0519%26 Nov
mirage5–10-0.0532%25 Nov
dust213–50.0120%25 Nov
dust210–13-0.108%24 Nov
dust213–5-0.0717%24 Nov
palacio3–13-0.060%24 Nov
inferno16–140.0116%21 Nov
dust27–13-0.0316%21 Nov
dust22–13-0.0613%21 Nov
nuke9–40.025%21 Nov
inferno13–10-0.0113%20 Nov
dust213–20.0017%18 Nov
dust213–6-0.0118%4 Nov
dust24–130.0726%27 Oct
dust213–100.0725%27 Oct
dust213–9-0.0016%21 Oct
inferno13–6-0.0217%17 Oct
inferno5–130.1118%17 Oct
dust210–13-0.0623%17 Oct
inferno4–13-0.0325%17 Oct
inferno5–90.029%16 Oct
mirage15–15-0.0619%11 Oct
mirage10–13-0.0617%11 Oct
palacio13–8-0.0815%10 Oct
inferno1–13-0.128%9 Oct
inferno13–40.0819%9 Oct
dust24–13-0.0512%9 Oct
golden13–40.0714%9 Oct
vertigo3–13-0.0813%9 Oct
inferno11–4-0.060%7 Oct
dust29–13-0.0513%7 Oct
nuke9–13-0.0216%6 Oct
dust211–13-0.077%4 Oct
dust213–11-0.056%4 Oct
inferno11–13-0.0712%2 Oct
overpass1–13-0.0925%28 Sept

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 →