miku hatsune

miku hatsune — CS2 Stats

GM76561198118186267[U:1:157920539]Steam profile ↗✓ No bans

2,313Tracked matches50%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 9 · 1,667 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmiku hatsuneFACEITLevel 9 · 1,667 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLWLWWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.8pp headshot accuracy · −6ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 525ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 512ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 515ms

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 (+2 against its own average).

Aim6.4
Utility3.7
Positioning5.3
Opening Duels1.3
Clutch3.0

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

iM

Plays most like iM 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.4
Positioning5.3
Utility3.7
Mechanics5.7
Opening Duels2.0
Win Impact5.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time544ms−20ms
first ⅓ avg 564ms → last ⅓ avg 544ms
Headshot accuracy22.8%+5.4%
first ⅓ avg 17.4% → last ⅓ avg 22.8%

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

0.09Best match rating · 13–4 · ancient, 27 Feb →
48%Best headshot accuracy · 9–1 · mirage, 13 Jun →
414msFastest reaction time · 10–13 · nuke, 21 Jan →
13–3Biggest win · nuke, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–15In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 67% over 9anubisWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
nukeB2412–1250%0.00
mirageB2311–1248%-0.00
anubisC228–1436%-0.02
dust2B126–650%-0.01
infernoS96–367%-0.02
ancientB63–350%0.02
cache—31–233%-0.04
overpass—11–0100%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,572Matches
51%Win rate
0.95Avg K/D
76.2ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage40250%0.9314.3
Dust230247%0.9314.3
Nuke22659%1.0015.2
Inferno19950%0.9714.3
Ancient11946%0.9013.4
Anubis9247%0.9615.5
Train6751%0.9014.2
Overpass3653%0.8914.8

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.

22.4%Headshot accuracy
28.3%Accuracy (enemy spotted)
29.9%Spray accuracy
75.6%Counter-strafing
9.4°Preaim
530msReaction time
38.1%T opening success
37.9%CT opening success
0.40Enemies flashed / flash
1.0%Flash assists
10.23HE damage / grenade
2.43Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3998 — below the 0.5 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 38.1049% — below the 40% mark we flag

Spend your practice time on Anubis

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.079%13 Oct →
nuke13–30.0522%13 Oct →
anubis9–13-0.0417%12 Oct →
anubis13–100.0322%26 Sept →
anubis13–10-0.0117%25 Sept →
anubis19–16-0.0327%24 Sept →
cache5–13-0.0415%24 Sept →
mirage5–13-0.0816%22 Sept →
nuke9–130.0818%21 Sept →
anubis13–80.0122%18 Sept →
nuke13–50.0232%12 Sept →
dust211–13-0.0216%12 Sept →
mirage13–60.0323%10 Sept →
dust213–4-0.0418%10 Sept →
dust213–11-0.0525%6 Sept →
inferno11–130.0227%5 Sept →
nuke13–4-0.0125%5 Sept →
nuke8–13-0.0228%25 Aug →
anubis11–130.0019%3 Aug →
nuke13–8-0.0020%28 Jun →
cache13–10-0.0224%17 Jun →
nuke5–13-0.0132%17 Jun →
mirage9–10.0748%13 Jun →
inferno11–13-0.0425%24 May →
anubis10–130.0125%23 May →
nuke5–13-0.0320%5 May →
nuke13–60.0111%4 May →
nuke3–13-0.0719%2 May →
cache5–13-0.0612%1 May →
ancient13–6-0.0143%22 Apr →
dust210–130.0323%13 Apr →
inferno16–12-0.0529%12 Apr →
dust29–13-0.0323%12 Apr →
mirage13–60.0420%11 Apr →
dust25–130.0521%11 Apr →
nuke14–160.0023%11 Apr →
nuke13–100.0819%10 Apr →
mirage13–110.0521%10 Apr →
nuke19–15-0.027%5 Apr →
mirage16–13-0.0326%1 Apr →
inferno13–9-0.0531%28 Mar →
nuke13–60.0014%27 Mar →
mirage10–13-0.0314%26 Mar →
mirage11–13-0.0015%24 Mar →
anubis13–10-0.0417%24 Mar →
ancient9–13-0.0522%24 Mar →
mirage28–25-0.059%23 Mar →
dust213–110.0724%21 Mar →
ancient9–130.0236%13 Mar →
mirage13–11-0.0213%10 Mar →
mirage8–13-0.0115%6 Mar →
ancient13–50.0132%5 Mar →
anubis13–6-0.0212%4 Mar →
mirage5–13-0.0119%4 Mar →
mirage12–16-0.069%4 Mar →
overpass13–9-0.0525%3 Mar →
mirage13–70.0520%1 Mar →
nuke13–11-0.0114%27 Feb →
ancient13–40.0920%27 Feb →
ancient12–160.0424%26 Feb →
dust210–13-0.0720%25 Feb →
mirage11–13-0.0129%22 Feb →
inferno13–11-0.0415%19 Feb →
anubis2–13-0.0625%19 Feb →
mirage14–16-0.0315%17 Feb →
anubis10–130.0320%12 Feb →
dust213–10-0.0618%10 Feb →
nuke11–13-0.0323%9 Feb →
mirage13–90.0522%7 Feb →
nuke13–30.0829%5 Feb →
anubis5–13-0.0113%29 Jan →
anubis7–13-0.0414%25 Jan →
dust213–100.0318%25 Jan →
anubis13–160.0413%25 Jan →
inferno16–130.0124%23 Jan →
mirage7–130.0120%23 Jan →
anubis10–13-0.0318%23 Jan →
mirage5–130.0214%23 Jan →
inferno8–13-0.0417%22 Jan →
anubis17–19-0.0214%22 Jan →
nuke10–13-0.0414%21 Jan →
mirage11–13-0.0612%21 Jan →
anubis13–60.0218%20 Jan →
nuke13–100.0519%20 Jan →
anubis13–6-0.0316%20 Jan →
inferno13–80.0316%19 Jan →
nuke13–80.0114%19 Jan →
anubis9–13-0.0314%19 Jan →
nuke11–13-0.0216%18 Jan →
dust213–11-0.0013%18 Jan →
mirage13–50.0715%18 Jan →
mirage13–3-0.0123%17 Jan →
anubis12–16-0.0513%17 Jan →
nuke14–16-0.0117%17 Jan →
nuke7–13-0.0214%16 Jan →
inferno13–50.0126%16 Jan →
nuke11–13-0.0211%16 Jan →
mirage9–13-0.0118%16 Jan →
dust27–13-0.0126%15 Jan →
anubis17–19-0.0620%15 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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