Miika

Miika — CS2 Stats

FI76561198311166435[U:1:350900707]Steam profile ↗✓ No bans

2,298Tracked matches57%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 10 · 2,071 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMiikaFACEITLevel 10 · 2,071 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning56
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateLLWWWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +7.1pp headshot accuracy · −115ms 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 -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 484ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 492ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 550ms

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 (+1.1 against its own average).

Aim7.1
Utility5.1
Positioning5.6
Opening Duels3.9
Clutch3.4

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

s1mple

Plays most like s1mple 91% 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 56% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim7.1
Positioning5.6
Utility5.1
Mechanics6.9
Opening Duels3.3
Win Impact7.2

Composite 6.1/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time557ms−57ms
first ⅓ avg 614ms → last ⅓ avg 557ms
Headshot accuracy15.8%−5.2%
first ⅓ avg 21.0% → last ⅓ avg 15.8%

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

0.15Best match rating · 13–6 · office, 12 Aug →
39%Best headshot accuracy · 13–2 · dust2, 29 Sept →
414msFastest reaction time · 13–8 · ancient, 18 Sept →
13–1Biggest win · inferno, 2 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
3–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 80% over 5nukeWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageS2518–772%0.00
ancientC197–1237%-0.01
nukeC176–1135%-0.02
dust2B136–746%-0.01
infernoS54–180%0.03
cache—43–175%0.03
anubis—42–250%-0.02
vertigo—44–0100%0.02
office—33–0100%0.08
overpass—21–150%0.05
agency—21–150%0.02
palacio—10–10%0.02
train—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,652Matches
53%Win rate
1.05Avg K/D
73.6ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage34351%0.9614.0
Ancient20855%1.0014.2
Nuke11858%0.9714.7
Dust27330%0.9014.5
Vertigo3866%0.9914.2
Anubis2642%0.9813.5
Train2556%1.2516.8
Inferno1560%1.2314.3

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.

15.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.2%Spray accuracy
81.0%Counter-strafing
8.5°Preaim
552msReaction time
21.7%T opening success
56.1%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
8.91HE damage / grenade
7.99Flashes / 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 21.6533% — below the 40% mark we flag

Spend your practice time on Nuke

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0112%2 Oct →
nuke10–13-0.0611%2 Oct →
ancient13–8-0.0219%18 Sept →
mirage13–9-0.0614%18 Sept →
nuke13–90.0226%13 Sept →
dust213–100.0428%7 Sept →
inferno1–13-0.0025%7 Sept →
mirage13–80.0615%7 Sept →
anubis7–13-0.0226%4 Sept →
vertigo16–130.0317%25 Aug →
vertigo13–100.0014%21 Aug →
ancient9–130.0214%21 Aug →
ancient7–13-0.069%19 Aug →
mirage14–160.0419%21 Jul →
mirage13–90.0217%23 Jun →
mirage13–5-0.0117%17 Jun →
ancient13–10-0.036%15 Jun →
inferno13–5-0.0112%11 Jun →
nuke6–13-0.0811%11 Jun →
dust21–13-0.143%11 Jun →
ancient13–50.0914%11 Jun →
ancient11–13-0.087%4 Jun →
overpass13–16-0.0220%31 May →
mirage13–4-0.0117%30 May →
cache16–12-0.0014%20 May →
anubis13–80.0413%20 May →
dust28–13-0.0511%18 May →
dust213–10-0.0217%13 May →
dust26–13-0.0223%12 May →
cache13–30.046%6 May →
cache13–30.0818%6 May →
dust213–6-0.0118%4 May →
inferno13–110.0330%4 May →
mirage13–7-0.0122%24 Apr →
mirage4–13-0.0615%24 Apr →
nuke13–7-0.0219%23 Apr →
mirage6–13-0.0416%17 Apr →
mirage13–80.0313%15 Apr →
vertigo13–100.0623%14 Apr →
ancient15–19-0.0217%30 Mar →
ancient7–13-0.0128%27 Mar →
mirage13–50.0124%19 Mar →
office13–90.0310%19 Mar →
ancient10–13-0.0316%19 Mar →
mirage8–13-0.0020%19 Feb →
ancient6–13-0.0224%12 Feb →
dust23–13-0.0232%8 Feb →
mirage9–13-0.0319%6 Feb →
nuke7–13-0.068%5 Feb →
nuke7–130.0127%30 Jan →
anubis6–13-0.0715%30 Jan →
nuke6–13-0.0531%27 Jan →
ancient8–13-0.0212%27 Jan →
nuke13–9-0.0121%26 Jan →
ancient11–130.0720%24 Jan →
mirage13–8-0.0035%24 Jan →
mirage16–130.0514%24 Jan →
inferno13–10.0937%2 Jan →
dust24–130.0024%22 Dec →
dust213–60.0420%15 Dec →
ancient13–8-0.0225%12 Dec →
mirage16–12-0.0420%10 Dec →
mirage13–7-0.0415%6 Dec →
palacio9–130.0224%4 Dec →
ancient6–13-0.019%3 Dec →
nuke6–13-0.0123%16 Nov →
dust23–13-0.0425%6 Nov →
nuke14–16-0.0617%3 Nov →
mirage13–6-0.019%27 Oct →
vertigo13–7-0.0114%27 Oct →
agency13–70.0423%27 Oct →
nuke19–15-0.0216%23 Oct →
mirage13–9-0.0117%29 Sept →
overpass13–30.1315%29 Sept →
dust213–20.0639%29 Sept →
mirage13–70.0616%16 Sept →
nuke13–80.0118%16 Sept →
nuke17–19-0.0218%15 Sept →
nuke10–13-0.0036%5 Sept →
inferno13–110.0721%4 Sept →
office13–60.1527%12 Aug →
agency11–13-0.0125%12 Aug →
mirage9–13-0.0213%11 Aug →
dust25–13-0.0321%11 Aug →
train16–12-0.0224%10 Aug →
mirage11–130.0223%5 Aug →
nuke13–80.0420%4 Aug →
mirage13–40.0835%30 Jul →
nuke7–13-0.0224%17 Jul →
ancient16–13-0.0220%17 Jul →
ancient13–60.0226%29 Jun →
mirage13–10-0.0122%16 May →
anubis13–9-0.0333%15 May →
nuke6–13-0.0618%14 May →
ancient8–13-0.0014%14 May →
office13–110.0515%6 May →
dust213–60.0226%28 Apr →
mirage13–90.0816%27 Apr →
ancient13–70.0215%24 Apr →
ancient7–13-0.0115%21 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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