MikiMoi

MikiMoi — CS2 Stats

FI76561198004506288[U:1:44240560]Steam profile ↗✓ No bans

905Tracked matches39%Win rate2020Tracked since
3,697Hours in CS15Hrs last 2 wks
CSDB Rating5.9 SolidClutch Specialist
Premier CS Rating18,985Top 50% of 213,211 CSDB-tracked playersPurple band · top ~12.5% of ranked players (population est.)
CSDB Leaderboard#99488 of 259896 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (8 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: 18,985 -738 11 Jul – 27 Oct · 7 days played
17,60819,723peak 19,72311 Jul27 Oct
19,839Peak Premier in tracked matches
27Days played since 2025-07-11

Premier CS Rating

  • 738 below peak (19,723)
  • Next: Pink band at 20,000 — 1,015 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 Level 5 among CSDB-tracked players (n=14,283), 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 rate44.2%43.8%44.8%meets
Shot accuracy19.9%12.0%12.4%above
Kill/death ratio1.141.021.03above
Match win rate40.1%44.7%45.2%5.1% short

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGMikiMoiFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,985 · 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

Aim65
Positioning55
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWLWWWLLLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.6pp headshot accuracy · +44ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 628ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 629ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 607ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.6 against its own average).

Aim6.5
Utility7.5
Positioning5.5
Opening Duels2.8
Clutch10.0

Effective flashesHigh utility contributionReliable in 1v1s

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 618ms 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

Aim6.5
Positioning5.5
Utility7.5
Mechanics6.8
Opening Duels5.6
Win Impact1.4

Composite 5.9/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time623ms−74ms
first ⅓ avg 697ms → last ⅓ avg 623ms
Headshot accuracy18.6%+0.1%
first ⅓ avg 18.5% → last ⅓ avg 18.6%

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

0.10Best match rating · 13–11 · nuke, 21 May →
42%Best headshot accuracy · 2–13 · dust2, 27 Oct →
422msFastest reaction time · 13–9 · cache, 12 Sept →
13–2Biggest win · dust2, 25 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 58% over 12ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB157–847%-0.02
ancientD144–1029%-0.02
nukeC145–936%0.00
dust2B126–650%-0.01
cacheA127–558%-0.03
anubisC94–544%-0.01
mirageB84–450%-0.01
overpassC73–443%-0.05
trainC52–340%-0.05
dogtown—11–0100%0.05
brewery—10–10%-0.11
vertigo—10–10%-0.07
grail—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,246Lifetime kills
1.14K/D · Top 25% of Level 5 players
5,615Matches
40.1%Match win rate
44.2%Headshot % · Top 50% of Level 5 players
19.9%Shot accuracy · Top 5% of Level 5 players
10,800MVPs
2,376Hours (in match)
3,330Bombs planted
893Bombs defused

Most-used weapons

AK-4745,933
AWP19,678
P2502,917
FAMAS2,290
Tec-91,843

Lifetime map wins

6,956inferno
5,660dust2
4,574train
3,015nuke
2,723vertigo
1,989cbble
146lake
131office

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

Faceit stats

Combat

394Matches
51%Win rate
1.06Avg K/D
91.1ADR
39%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1060%0.9115.1
Ancient875%1.5116.3
Anubis633%0.9213.3
Vertigo50%0.8915.4
Mirage540%0.9815.0
Inferno333%1.4421.0
Overpass250%1.1415.5
Dust21100%0.8612.0

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.

19.4%Headshot accuracy
33.0%Accuracy (enemy spotted)
39.1%Spray accuracy
80.8%Counter-strafing
11.0°Preaim
618msReaction time
61.1%T opening success
43.8%CT opening success
0.71Enemies flashed / flash
8.4%Flash assists
12.82HE damage / grenade
10.28Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0234%27 Oct →
dust22–13-0.0142%27 Oct →
inferno13–10-0.0118%27 Oct →
dust213–90.0128%27 Oct →
ancient13–50.0125%27 Oct →
cache2–13-0.0817%24 Oct →
mirage6–13-0.0115%24 Oct →
ancient5–130.0722%24 Oct →
inferno9–13-0.0111%24 Oct →
cache1–13-0.116%24 Oct →
cache13–100.0514%24 Oct →
mirage12–12-0.0419%23 Oct →
nuke7–13-0.0112%23 Oct →
nuke0–13-0.0622%23 Oct →
dust211–13-0.0228%23 Oct →
inferno9–13-0.0613%23 Oct →
cache13–10-0.0324%23 Oct →
inferno5–13-0.0219%23 Oct →
mirage15–150.0015%22 Oct →
nuke13–10-0.0517%22 Oct →
nuke13–16-0.0016%22 Oct →
mirage13–9-0.0214%22 Oct →
cache13–70.0718%27 Sept →
inferno4–130.0314%27 Sept →
inferno6–13-0.0219%27 Sept →
cache13–10-0.0325%15 Sept →
inferno7–13-0.0221%15 Sept →
dust213–100.0311%15 Sept →
nuke0–4-0.100%15 Sept →
train5–13-0.1033%13 Sept →
inferno9–13-0.0214%13 Sept →
ancient1–20.0114%13 Sept →
mirage13–80.0313%12 Sept →
anubis13–70.0512%12 Sept →
dust213–70.0520%12 Sept →
nuke15–150.0618%12 Sept →
cache13–9-0.0421%12 Sept →
dust20–13-0.106%12 Sept →
inferno13–6-0.0312%12 Sept →
ancient9–13-0.0321%9 Sept →
anubis13–5-0.0740%9 Sept →
cache13–16-0.0613%29 Aug →
nuke13–60.0428%29 Aug →
dust215–15-0.0719%29 Aug →
ancient7–13-0.0619%29 Aug →
ancient10–13-0.0215%10 Jun →
nuke13–100.0017%10 Jun →
dust213–5-0.0020%10 Jun →
cache7–13-0.0315%29 May →
inferno13–9-0.0117%29 May →
nuke13–110.1033%21 May →
ancient5–13-0.1130%21 May →
cache13–7-0.0312%2 May →
cache13–110.0022%2 May →
inferno5–13-0.086%30 Apr →
cache8–13-0.0424%29 Apr →
anubis8–13-0.0223%27 Oct →
ancient4–13-0.0711%27 Oct →
anubis11–13-0.0113%17 Oct →
nuke10–130.0620%27 Sept →
inferno13–90.028%27 Sept →
nuke11–13-0.078%27 Sept →
ancient13–4-0.028%27 Sept →
dust29–13-0.0123%27 Sept →
dogtown9–70.0517%10 Sept →
brewery6–9-0.118%10 Sept →
vertigo6–9-0.0710%10 Sept →
overpass4–9-0.1113%10 Sept →
nuke6–80.0415%10 Sept →
inferno9–60.0130%10 Sept →
dust213–50.0520%3 Sept →
nuke11–13-0.008%3 Sept →
ancient13–70.0016%3 Sept →
train14–16-0.0512%30 Aug →
inferno13–9-0.0517%30 Aug →
overpass7–13-0.0715%30 Aug →
grail5–130.0325%30 Aug →
mirage13–8-0.0217%26 Aug →
ancient3–13-0.0314%26 Aug →
overpass13–9-0.0320%26 Aug →
inferno13–9-0.0216%26 Aug →
mirage10–20.0224%26 Aug →
anubis5–13-0.0110%26 Aug →
anubis13–50.0922%26 Aug →
anubis6–13-0.0014%26 Aug →
anubis7–13-0.0621%26 Aug →
overpass9–13-0.1114%25 Aug →
train13–11-0.0018%25 Aug →
dust213–20.0117%25 Aug →
ancient15–15-0.0117%25 Aug →
ancient13–50.0118%30 Jul →
overpass13–70.0611%30 Jul →
nuke13–9-0.0125%19 Jul →
train3–13-0.0528%19 Jul →
overpass13–2-0.0226%19 Jul →
dust29–13-0.0328%19 Jul →
overpass3–13-0.0827%19 Jul →
ancient8–13-0.0124%19 Jul →
mirage11–13-0.0517%11 Jul →
train13–4-0.0513%11 Jul →

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 →

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