Miksukelele

Miksukelele — CS2 Stats

FI76561198069799087[U:1:109533359]Steam profile ↗VAC banned

218Tracked matches36%Win rate2022Tracked since
1,907Hours in CS0Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
Premier CS Rating15,713Purple band · top ~25.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 May 2026 (140 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: 15,713 -3,117 31 Jul – 30 May · 26 days played
15,71319,164peak 19,16431 Jul30 May
19,492Peak Premier in tracked matches
33Days played since 2025-07-31

Premier CS Rating

  • 3,451 below peak (19,164)
  • -2,241 over 90 days
  • Next: Pink band at 20,000 — 4,287 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 rate44.8%44.3%46.9%2.1% short
Shot accuracy21.9%11.9%13.0%above
Kill/death ratio2.051.031.08above
Match win rate38.1%45.2%46.7%8.5% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Match win 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.GGMiksukelelePREMIER15,713 · 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

Aim55
Positioning41
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLWLWTLWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · +59ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 748ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 698ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 668ms

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).

Aim5.5
Utility6.0
Positioning4.1
Opening Duels3.0
Clutch6.0

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 678ms 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

Aim5.5
Positioning4.1
Utility6.0
Mechanics5.7
Opening Duels1.3
Win Impact0.2

Composite 4.4/10 (Developing), 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 time674ms+8ms
first ⅓ avg 666ms → last ⅓ avg 674ms
Headshot accuracy18.7%−2.2%
first ⅓ avg 20.9% → last ⅓ avg 18.7%

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

0.14Best match rating · 13–9 · inferno, 30 Aug →
39%Best headshot accuracy · 13–10 · mirage, 30 Aug →
445msFastest reaction time · 13–6 · ancient, 2 Sept →
13–2Biggest win · ancient, 30 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–15In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 60% over 5mirageWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%0.01
mirageC2310–1343%-0.00
nukeC188–1044%-0.01
ancientB137–654%0.01
infernoA53–260%0.03
overpass—42–250%-0.01
train—42–250%-0.03
anubis—31–233%0.01
office—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 23). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,382Lifetime kills
2.05K/D · Top 5% of Purple band
3,275Matches
38.1%Match win rate
44.8%Headshot % · Top 50% of Purple band
21.9%Shot accuracy · Top 1% of Purple band
8,254MVPs
1,152Hours (in match)
3,063Bombs planted
833Bombs defused

Most-used weapons

AK-4749,191
AWP15,652
P2502,814
FAMAS2,010
P901,618
Tec-91,566

Lifetime map wins

12,586dust2
2,282inferno
930nuke
488cbble
444train
59lake
33aztec
28vertigo

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

Faceit stats

Combat

2Matches
50%Win rate
0.94Avg K/D
75.5ADR
51%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.0016.0
Train10%0.8822.0

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.

17.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.6%Spray accuracy
75.8%Counter-strafing
10.5°Preaim
678msReaction time
31.4%T opening success
39.0%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
11.07HE damage / grenade
13.40Flashes / 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 31.4154% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–130.0016%30 May →
ancient13–20.0614%30 May →
overpass11–13-0.0217%30 May →
dust213–50.0516%30 May →
mirage15–150.0524%14 May →
dust211–130.0118%14 Mar →
mirage13–8-0.0714%14 Mar →
nuke13–9-0.0017%14 Mar →
mirage8–130.0529%14 Mar →
nuke11–13-0.0212%13 Mar →
nuke13–30.0721%9 Mar →
dust212–16-0.0224%9 Mar →
mirage13–110.0412%8 Mar →
dust29–13-0.0317%8 Mar →
mirage13–60.0232%8 Mar →
dust215–150.0518%8 Mar →
dust27–13-0.0216%7 Mar →
nuke5–13-0.0416%7 Mar →
anubis2–13-0.0721%7 Mar →
mirage13–11-0.0014%7 Mar →
mirage13–160.0012%7 Mar →
dust213–100.0715%7 Mar →
dust22–13-0.0419%6 Mar →
dust24–13-0.0326%6 Mar →
overpass7–13-0.0024%6 Mar →
ancient13–80.0516%6 Mar →
mirage9–13-0.0023%6 Mar →
ancient9–130.0713%4 Mar →
mirage5–13-0.0115%1 Mar →
inferno11–130.0512%1 Mar →
dust213–80.0221%1 Mar →
anubis13–40.0820%1 Mar →
mirage10–130.0235%1 Mar →
nuke13–5-0.0223%28 Feb →
ancient13–10-0.0313%28 Feb →
nuke13–100.0722%28 Feb →
dust26–13-0.0521%28 Feb →
mirage13–30.0113%28 Feb →
nuke11–13-0.0618%28 Feb →
overpass13–8-0.0615%27 Feb →
dust213–30.0522%27 Feb →
mirage13–50.0219%27 Feb →
ancient13–80.0513%27 Feb →
dust212–16-0.0519%27 Feb →
ancient3–13-0.017%27 Feb →
nuke7–130.0426%27 Feb →
mirage11–130.0119%27 Feb →
nuke11–130.0311%26 Feb →
dust213–10-0.0026%26 Feb →
dust24–13-0.0130%4 Dec →
dust213–30.0312%2 Dec →
dust213–20.076%2 Dec →
nuke13–11-0.0121%2 Dec →
dust213–5-0.0227%30 Nov →
office8–13-0.0133%30 Nov →
ancient11–130.0025%5 Oct →
inferno13–50.0018%5 Oct →
mirage11–13-0.0230%5 Oct →
ancient13–11-0.0120%5 Oct →
overpass13–30.0632%4 Oct →
dust210–13-0.1114%4 Oct →
nuke13–11-0.0221%4 Oct →
train14–16-0.0321%4 Oct →
ancient13–16-0.0213%27 Sept →
mirage3–13-0.0121%27 Sept →
train13–10-0.0116%27 Sept →
dust213–60.0317%15 Sept →
nuke11–13-0.0412%15 Sept →
mirage14–16-0.029%14 Sept →
nuke15–15-0.0132%14 Sept →
dust210–13-0.0718%8 Sept →
dust213–10-0.0026%8 Sept →
nuke13–6-0.0529%7 Sept →
ancient11–13-0.0515%7 Sept →
mirage13–5-0.0125%7 Sept →
mirage6–13-0.0733%7 Sept →
ancient13–10-0.0214%5 Sept →
mirage15–15-0.0213%5 Sept →
inferno11–13-0.0314%5 Sept →
dust29–13-0.0227%3 Sept →
mirage15–15-0.0323%3 Sept →
nuke7–13-0.029%3 Sept →
dust213–90.1229%2 Sept →
ancient13–60.0023%2 Sept →
dust213–110.0619%1 Sept →
train3–13-0.0715%1 Sept →
inferno8–1-0.0215%1 Sept →
nuke13–11-0.0417%31 Aug →
train13–10-0.0316%31 Aug →
mirage13–100.0139%30 Aug →
inferno13–90.1420%30 Aug →
anubis9–130.0326%30 Aug →
dust210–130.0523%29 Aug →
mirage13–70.0017%29 Aug →
dust213–70.0925%3 Aug →
ancient14–160.0113%3 Aug →
nuke6–13-0.0620%1 Aug →
dust25–130.0022%1 Aug →
dust213–9-0.0418%31 Jul →
mirage13–10-0.0235%31 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.