Miki Mouc

Miki Mouc — CS2 Stats

FI76561198346115342[U:1:385849614]Steam profile ↗✓ No bans

2,784Tracked matches47%Win rate2020Tracked since
3,589Hours in CS14Hrs last 2 wks
CSDB Rating6.0 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+36Tracked matches · now 2,784
−16.7ppWin rate · 63.3% → 46.7%

Rating over time

Faceit ELO: 1,922 +0 8 Sept – 20 Sept · 3 observations
1,9221,922peak 1,9228 Sept20 Sept
1,922Highest Faceit ELO seen on CSDB
30Days played since 2026-07-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate44.2%48.2%50.9%6.8% short
Shot accuracy9.0%13.2%13.7%4.7% short
Kill/death ratio0.871.071.090.21 short
Match win rate43.1%46.9%48.4%5.3% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMiki MoucFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,922csdb.gg/stats

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Performance scores

Aim67
Positioning59
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWLLLWWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · +29ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 523ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 508ms

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 (+2 against its own average).

Aim6.7
Utility7.2
Positioning5.9
Opening Duels4.1
Clutch3.6

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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

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

CSDB Rating breakdown

Aim6.7
Positioning5.9
Utility7.2
Mechanics5.5
Opening Duels5.0
Win Impact3.9

Composite 6.0/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time545ms+38ms
first ⅓ avg 507ms → last ⅓ avg 545ms
Headshot accuracy18.0%−0.7%
first ⅓ avg 18.7% → last ⅓ avg 18.0%

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

0.18Best match rating · 13–2 · mirage, 30 Jul →
35%Best headshot accuracy · 8–13 · ancient, 20 Aug →
359msFastest reaction time · 13–6 · anubis, 19 Aug →
13–2Biggest win · dust2, 17 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 59% over 17infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
anubisA2414–1058%0.00
nukeA2112–957%0.02
ancientA1710–759%0.02
infernoD155–1033%-0.00
dust2A127–558%0.00
cacheC83–538%-0.01
mirage—32–167%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,254Lifetime kills
0.87K/D
4,572Matches
43.1%Match win rate
44.2%Headshot %
9.0%Shot accuracy
9,052MVPs
2,130Hours (in match)
4,866Bombs planted
1,398Bombs defused

Most-used weapons

AK-4727,033
AWP6,431
SG 5532,252
FAMAS1,803
Knife1,662

Lifetime map wins

8,070inferno
6,808nuke
5,813dust2
3,409train
2,184vertigo
42cbble
34lake
29stmarc

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

Faceit stats

Combat

2,212Matches
50%Win rate
1.00Avg K/D
76.8ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient42257%1.0114.7
Nuke36956%1.0914.3
Anubis30649%1.0014.6
Inferno23549%1.0114.1
Dust219940%0.9314.1
Mirage11937%0.8313.4
Overpass11454%1.1115.3
Train8048%1.1115.0

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.

17.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
37.0%Spray accuracy
74.7%Counter-strafing
9.2°Preaim
544msReaction time
52.6%T opening success
47.6%CT opening success
0.66Enemies flashed / flash
13.1%Flash assists
10.59HE damage / grenade
16.63Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0024%3 Nov →
dust213–11-0.0612%2 Nov →
ancient8–130.0110%2 Nov →
nuke8–130.0212%2 Nov →
cache11–13-0.0417%2 Nov →
anubis13–60.0918%2 Nov →
nuke16–14-0.0117%31 Oct →
nuke9–13-0.0020%31 Oct →
inferno9–13-0.0019%31 Oct →
cache13–90.0518%22 Oct →
ancient13–7-0.0328%22 Oct →
anubis15–19-0.0416%22 Oct →
ancient17–190.0521%21 Oct →
nuke13–60.0822%21 Oct →
inferno10–130.0220%21 Oct →
dust28–13-0.0325%21 Oct →
cache14–16-0.0411%21 Oct →
nuke8–13-0.039%21 Oct →
ancient13–40.1316%21 Oct →
inferno7–130.0213%6 Oct →
ancient10–13-0.0131%4 Oct →
dust213–9-0.0314%4 Oct →
dust213–100.0217%4 Oct →
cache13–60.0620%29 Sept →
nuke13–9-0.0414%29 Sept →
mirage13–5-0.0315%29 Sept →
ancient13–90.0110%17 Sept →
nuke11–130.0327%17 Sept →
anubis13–60.039%3 Sept →
cache10–13-0.0123%3 Sept →
inferno11–13-0.0415%3 Sept →
nuke7–13-0.0432%3 Sept →
ancient6–13-0.0619%3 Sept →
dust28–13-0.0213%2 Sept →
anubis13–30.039%2 Sept →
inferno13–110.0121%2 Sept →
nuke13–80.0022%2 Sept →
anubis11–130.0413%1 Sept →
cache13–40.0431%1 Sept →
anubis13–60.0310%31 Aug →
nuke6–130.0010%31 Aug →
anubis13–80.0116%30 Aug →
ancient14–160.0015%30 Aug →
dust213–70.0420%30 Aug →
nuke13–40.1116%30 Aug →
inferno13–160.022%30 Aug →
anubis13–100.0314%30 Aug →
nuke13–70.0220%28 Aug →
anubis16–140.0114%28 Aug →
inferno13–110.0626%28 Aug →
inferno16–13-0.0211%27 Aug →
anubis11–130.0115%27 Aug →
ancient13–100.0218%27 Aug →
anubis13–60.0116%23 Aug →
dust210–13-0.0230%23 Aug →
inferno13–60.0017%23 Aug →
nuke13–70.0115%23 Aug →
cache9–13-0.038%23 Aug →
inferno6–13-0.0333%23 Aug →
ancient4–130.016%23 Aug →
nuke13–80.0221%23 Aug →
anubis8–13-0.0112%21 Aug →
ancient13–80.0417%21 Aug →
nuke13–90.0521%21 Aug →
mirage6–13-0.0414%21 Aug →
nuke13–80.0320%21 Aug →
inferno0–13-0.0430%21 Aug →
cache8–13-0.0724%21 Aug →
nuke13–60.0721%20 Aug →
ancient8–13-0.0135%20 Aug →
dust213–100.0315%19 Aug →
anubis9–13-0.0710%19 Aug →
ancient16–140.0323%19 Aug →
ancient13–11-0.0117%19 Aug →
nuke10–130.0215%19 Aug →
anubis11–13-0.0334%19 Aug →
anubis13–6-0.0110%19 Aug →
dust27–13-0.0116%19 Aug →
ancient13–70.0821%17 Aug →
dust213–20.0717%17 Aug →
anubis13–11-0.0326%17 Aug →
dust216–120.0411%17 Aug →
inferno13–50.0620%17 Aug →
anubis13–110.0321%17 Aug →
nuke7–13-0.0334%17 Aug →
anubis13–110.0317%16 Aug →
anubis4–130.028%14 Aug →
inferno7–13-0.0321%9 Aug →
anubis10–13-0.0319%6 Aug →
ancient13–90.028%4 Aug →
ancient19–17-0.0224%2 Aug →
anubis8–13-0.0819%2 Aug →
nuke10–130.0122%1 Aug →
inferno3–13-0.0611%1 Aug →
anubis13–110.0320%31 Jul →
nuke13–50.0619%31 Jul →
anubis13–100.0415%31 Jul →
mirage13–20.1820%30 Jul →
inferno23–25-0.0210%30 Jul →
anubis7–13-0.0613%30 Jul →

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 →

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