✪ MIKA

✪ MIKA — CS2 Stats

AF76561198167126785[U:1:206861057]Steam profile ↗✓ No bans

569Tracked matches34%Win rate2020Tracked since
1,866Hours in CS
CSDB Rating4.9 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 22 Sep 2023. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,117 -2,539 6 Dec5 Nov · 44 days played
13,11719,762peak 19,7626 Dec5 Nov
19,762Peak Premier in tracked matches
53Days played since 2023-09-22

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 6 among CSDB-tracked players (n=11,764), 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 6 medianLevel 7 medianvs Level 7
Headshot rate38.9%44.8%45.7%6.9% short
Shot accuracy19.7%12.4%12.7%above
Kill/death ratio0.991.041.050.06 short
Match win rate45.2%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ MIKAFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim56
Positioning50
Utility67

0–100 skill scores via Leetify.

Recent form

COLD45523Last 10045%Win rateLLLWLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +5.9pp headshot accuracy · −48ms 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

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 632ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 656ms

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: SupportUtility contribution stands above the rest of this profile (+3.1 against its own average).

Aim5.6
Utility6.7
Positioning5.0
Opening Duels2.7
Clutch0.0

Strong CT-side opener

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 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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

Aim5.6
Positioning5.0
Utility6.7
Mechanics6.3
Opening Duels2.4
Win Impact0.0

Composite 4.9/10 (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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time654ms+17ms
first ⅓ avg 637ms → last ⅓ avg 654ms
Headshot accuracy19.4%+0.8%
first ⅓ avg 18.6% → last ⅓ avg 19.4%

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

0.24Best match rating · 13–5 · mirage, 25 Feb
47%Best headshot accuracy · 3–13 · mirage, 16 Dec
469msFastest reaction time · 5–13 · nuke, 22 Dec
13–2Biggest win · ancient, 1 Jan

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
105In matches decided by ≤2 rounds
20Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC32131941%-0.01
ancientA2012860%0.00
anubisD134931%-0.01
nukeA138562%-0.01
overpassC135838%-0.01
infernoC73443%-0.01
train1010%-0.01
dust21010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,846Lifetime kills
0.99K/D
4,129Matches
45.2%Match win rate
38.9%Headshot %
19.7%Shot accuracy · Top 5% of Level 6 players
8,951MVPs
1,866Hours (in match)
5,812Bombs planted
989Bombs defused

Most-used weapons

AK-4721,221
AWP11,838
FAMAS2,098
MAC-101,868
UMP-451,782
MP91,632

Lifetime map wins

5,000inferno
4,819dust2
4,232train
987nuke
314cbble
310vertigo
108lake
74safehouse

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

Faceit stats

Combat

675Matches
51%Win rate
0.94Avg K/D
70.5ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
40%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient333%0.7511.7
Mirage367%0.8314.7
Overpass250%0.7210.0
Dust21100%0.7814.0
Vertigo1100%1.2719.0
Anubis10%0.428.0
Nuke10%0.7613.0
Inferno10%0.6511.0

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.

19.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.8%Spray accuracy
78.2%Counter-strafing
9.8°Preaim
653msReaction time
16.8%T opening success
48.9%CT opening success
0.47Enemies flashed / flash
4.2%Flash assists
12.08HE damage / grenade
9.22Flashes / 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 0.4658 — 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 16.8007% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–130.0124%24 Oct
train11–13-0.0123%14 Nov
mirage11–130.0015%5 Nov
mirage13–9-0.0318%5 Nov
ancient10–13-0.0320%5 Nov
mirage6–130.0128%28 Oct
ancient13–70.0641%28 Oct
mirage6–13-0.0424%28 Oct
dust29–13-0.0511%28 Oct
mirage13–30.1218%28 Oct
ancient8–13-0.0720%5 Apr
anubis4–13-0.0315%5 Apr
nuke13–50.0414%18 Mar
ancient5–13-0.028%17 Mar
anubis9–13-0.0512%17 Mar
nuke13–50.0429%13 Mar
mirage8–13-0.0724%7 Mar
mirage5–13-0.0515%7 Mar
ancient2–13-0.116%29 Feb
overpass8–13-0.0323%27 Feb
inferno4–13-0.0214%25 Feb
mirage13–50.2417%25 Feb
mirage15–15-0.0226%25 Feb
anubis5–13-0.068%24 Feb
ancient13–10-0.0121%24 Feb
ancient13–80.0519%24 Feb
anubis13–6-0.0214%22 Feb
overpass5–130.0029%20 Feb
anubis13–100.1118%20 Feb
ancient4–13-0.0921%19 Feb
ancient11–130.0125%12 Feb
overpass15–150.0116%11 Feb
ancient10–13-0.0128%11 Feb
mirage13–100.007%11 Feb
anubis7–13-0.0213%11 Feb
overpass16–120.0019%8 Feb
mirage8–13-0.0021%7 Feb
overpass13–5-0.0421%7 Feb
overpass15–15-0.0422%30 Jan
anubis11–130.0011%29 Jan
anubis10–130.0124%27 Jan
anubis13–60.0812%27 Jan
overpass13–100.0531%26 Jan
nuke10–13-0.0116%22 Jan
ancient13–80.0817%21 Jan
mirage6–13-0.0612%20 Jan
ancient13–11-0.0318%16 Jan
nuke13–7-0.0231%16 Jan
mirage13–3-0.0512%15 Jan
mirage10–13-0.0413%15 Jan
mirage13–11-0.0316%14 Jan
mirage16–14-0.0114%14 Jan
anubis13–16-0.048%11 Jan
ancient13–30.1313%11 Jan
nuke13–16-0.0418%6 Jan
ancient13–20.0232%1 Jan
nuke13–60.0019%1 Jan
overpass6–13-0.0416%29 Dec
nuke13–9-0.039%28 Dec
mirage13–110.0210%28 Dec
nuke16–14-0.0420%27 Dec
nuke5–13-0.094%22 Dec
mirage13–70.0419%21 Dec
overpass13–90.0412%21 Dec
anubis7–13-0.059%21 Dec
ancient13–50.0517%21 Dec
ancient13–10-0.083%21 Dec
mirage13–16-0.0415%17 Dec
ancient13–70.0238%17 Dec
ancient13–40.0617%17 Dec
nuke13–60.0516%16 Dec
mirage3–13-0.0847%16 Dec
anubis7–13-0.0417%16 Dec
nuke3–13-0.0118%16 Dec
mirage10–130.0212%16 Dec
nuke16–140.0116%15 Dec
ancient13–8-0.0118%15 Dec
mirage13–11-0.0524%14 Dec
mirage13–9-0.0230%14 Dec
overpass12–160.0115%13 Dec
anubis13–11-0.0518%12 Dec
overpass11–13-0.0633%12 Dec
inferno4–130.0024%12 Dec
mirage7–13-0.115%10 Dec
mirage13–9-0.0724%10 Dec
overpass6–13-0.0215%10 Dec
mirage7–13-0.0521%8 Dec
nuke10–130.0224%8 Dec
inferno13–110.0427%6 Dec
inferno6–13-0.0325%16 Oct
overpass13–90.0213%30 Sept
mirage9–16-0.0413%26 Sept
inferno16–50.0316%26 Sept
inferno11–16-0.0210%25 Sept
mirage8–16-0.0317%25 Sept
mirage8–16-0.009%24 Sept
ancient12–160.0510%24 Sept
mirage13–16-0.078%22 Sept
inferno19–17-0.057%22 Sept
mirage16–120.0313%22 Sept

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 →