Sakura Miko

Sakura Miko — CS2 Stats

76561198087758080[U:1:127492352]Steam profile ↗✓ No bans

287Tracked matches68%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating24,643Top 25% of 204,219 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#25391 of 251343 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 24,643 +76 1 Nov – 9 Oct · 35 days played
20,77727,422peak 27,4221 Nov9 Oct
27,422Peak Premier in tracked matches
53Days played since 2025-11-01

Premier CS Rating

  • 2,779 below peak (27,422)
  • +827 over 30 days · improving
  • +3,866 over 90 days
  • Next: Red band at 25,000 — 357 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

Share this profile

CSDB.GGSakura MikoPREMIER24,643 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning56
Utility57

0–100 skill scores via Leetify.

Recent form

HOT63–33–4Last 10063%Win rateWLWLWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +7.1pp headshot accuracy · −68ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 499ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 533ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 567ms

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 (+1.2 against its own average).

Aim6.4
Utility5.7
Positioning5.6
Opening Duels2.1

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

ZywOo

Plays most like ZywOo 86% 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. 561ms 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

Aim6.4
Positioning5.6
Utility5.7
Mechanics6.0
Opening Duels2.8
Win Impact10.0

Composite 6.2/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time568ms−50ms
first ⅓ avg 618ms → last ⅓ avg 568ms
Headshot accuracy23.7%+1.6%
first ⅓ avg 22.1% → last ⅓ avg 23.7%

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

0.25Best match rating · 13–3 · inferno, 5 Mar →
37%Best headshot accuracy · 13–3 · nuke, 4 Aug →
383msFastest reaction time · 6–13 · inferno, 4 Oct →
13–1Biggest win · dust2, 15 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 80% over 15mirageWeakest map · 52% over 31
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%-0.00
dust2S2718–967%0.02
nukeS1512–380%0.00
infernoA116–555%0.02
overpassS54–180%0.01
cache—42–250%0.02
ancient—43–175%0.05
train—22–0100%-0.03
anubis—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (52% over 31). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.5%Headshot accuracy
30.7%Accuracy (enemy spotted)
31.0%Spray accuracy
77.2%Counter-strafing
10.9°Preaim
561msReaction time
38.8%T opening success
43.8%CT opening success
0.65Enemies flashed / flash
6.2%Flash assists
8.13HE damage / grenade
10.84Flashes / 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. 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 38.793% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–50.0536%9 Oct →
inferno6–13-0.0729%4 Oct →
dust216–120.0022%4 Oct →
mirage14–160.0130%2 Oct →
nuke13–11-0.0228%20 Sept →
dust213–7-0.0429%19 Sept →
inferno13–3-0.0116%30 Aug →
dust213–6-0.0530%30 Aug →
mirage11–130.0436%29 Aug →
nuke13–10-0.0620%29 Aug →
mirage13–4-0.0026%29 Aug →
dust28–13-0.0423%29 Aug →
dust213–2-0.029%23 Aug →
inferno7–00.0319%23 Aug →
cache7–130.017%15 Aug →
mirage13–10-0.0513%15 Aug →
dust215–150.0420%10 Aug →
nuke13–30.1237%4 Aug →
nuke10–130.0123%2 Aug →
inferno9–130.0326%2 Aug →
dust213–6-0.0215%31 Jul →
mirage13–11-0.0136%30 Jul →
mirage13–20.0425%30 Jul →
mirage10–13-0.0716%29 Jul →
inferno11–13-0.0425%29 Jul →
cache16–14-0.0417%24 Jul →
ancient13–80.0827%24 Jul →
dust213–40.0619%23 Jul →
mirage15–15-0.0017%22 Jul →
mirage13–70.0129%22 Jul →
dust213–40.1022%19 Jul →
cache13–30.1324%19 Jul →
mirage11–130.0131%19 Jul →
nuke13–10-0.0221%18 Jul →
dust211–13-0.0416%18 Jul →
mirage13–60.0332%18 Jul →
dust215–15-0.0021%18 Jul →
ancient13–9-0.0119%17 Jul →
nuke13–70.0226%15 Jul →
dust29–13-0.0125%15 Jul →
mirage1–130.0115%15 Jul →
mirage0–8-0.0217%14 Jul →
mirage13–90.0534%14 Jul →
dust213–50.1230%12 Jul →
cache6–13-0.0129%12 Jul →
nuke9–4-0.0122%11 Jul →
mirage6–130.0029%11 Jul →
nuke13–100.0322%4 Apr →
nuke13–70.0330%3 Apr →
anubis7–13-0.079%3 Apr →
mirage5–130.0216%2 Apr →
mirage10–130.0021%31 Mar →
dust213–7-0.0315%31 Mar →
nuke13–16-0.0313%15 Mar →
inferno13–30.2529%5 Mar →
inferno10–130.0128%4 Mar →
mirage3–13-0.0823%4 Mar →
mirage9–13-0.0319%24 Feb →
mirage13–10-0.0322%16 Feb →
dust213–10.0926%15 Feb →
dust211–130.0319%12 Feb →
mirage13–50.0125%12 Feb →
mirage9–13-0.0514%3 Feb →
nuke13–11-0.0018%23 Jan →
mirage13–10.0117%23 Jan →
mirage13–90.0322%23 Jan →
overpass13–8-0.0330%17 Jan →
inferno13–110.0216%17 Jan →
mirage6–13-0.0414%13 Jan →
mirage13–50.0913%10 Jan →
dust213–8-0.0425%10 Jan →
overpass11–130.0529%5 Jan →
dust213–100.0335%5 Jan →
mirage13–110.0116%4 Jan →
mirage16–120.0522%4 Jan →
inferno13–11-0.0224%4 Jan →
nuke13–11-0.0017%4 Jan →
overpass13–11-0.0216%4 Jan →
dust27–130.0012%4 Jan →
inferno13–80.0219%20 Dec →
dust211–130.0030%20 Dec →
train13–6-0.0216%18 Dec →
overpass8–2-0.0121%18 Dec →
dust213–50.1022%18 Dec →
inferno10–130.0025%12 Dec →
overpass13–80.0817%12 Dec →
mirage13–5-0.0221%7 Dec →
dust213–60.0528%7 Dec →
nuke12–120.0215%24 Nov →
dust213–30.2130%24 Nov →
ancient16–120.0435%23 Nov →
ancient4–130.1026%20 Nov →
dust27–13-0.0126%20 Nov →
dust213–10-0.0119%18 Nov →
mirage13–8-0.0121%17 Nov →
nuke13–9-0.0035%17 Nov →
mirage6–13-0.0621%17 Nov →
nuke13–1-0.0218%17 Nov →
dust213–5-0.0318%1 Nov →
train13–11-0.0527%1 Nov →

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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