Miikku

Miikku — CS2 Stats

FI76561197995665627[U:1:35399899]Steam profile ↗✓ No bans

695Tracked matches46%Win rate2021Tracked since
CSDB Rating3.7 LearningSupport
FaceitLevel 3 · 782 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 61 days played since 1 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,962 +489 11 Mar3 Jun · 15 days played
8,5299,962peak 9,96211 Mar3 Jun
9,962Peak Premier in tracked matches
782Highest Faceit ELO seen on CSDB
61Days played since 2026-02-01

Faceit ELO

  • At peak — 782
  • Next: Level 4 at 901 119 to go
  • Reached: Level 3 · Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

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CSDB.GGMiikkuFACEITLevel 3 · 782 ELOSTANDINGTop 90.6% of rankedPEAK ELO782csdb.gg/stats

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Performance scores

Aim36
Positioning44
Utility70

0–100 skill scores via Leetify.

Recent form

COLD39565Last 10039%Win rateLTLWWLLLTL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · −33ms 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

  • 221 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 575ms

Last 10

  • 262 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

Last 20

  • 5114 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 645ms

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 (+3.5 against its own average).

Aim3.6
Utility7.0
Positioning4.4
Opening Duels2.8
Clutch0.0

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

jL

Plays most like jL 62% 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

Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning4.4
Utility7.0
Mechanics4.0
Opening Duels1.7
Win Impact3.7

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time672ms+39ms
first ⅓ avg 634ms → last ⅓ avg 672ms
Headshot accuracy14.3%−2.7%
first ⅓ avg 17.0% → last ⅓ avg 14.3%

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 · 13–5 · dust2, 24 May
33%Best headshot accuracy · 13–8 · inferno, 1 Feb
391msFastest reaction time · 0–5 · inferno, 4 Aug
13–0Biggest win · anubis, 23 May

Across the last 100 tracked matches.

Highlights

6Longest win streak
88In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 50% over 8ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC26111542%-0.01
dust2D2581732%0.01
cacheC1761135%-0.02
mirageC94544%-0.01
nukeB84450%-0.04
ancientD72529%-0.02
overpass42250%0.00
anubis220100%0.05
office2020%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

123Matches
41%Win rate
0.75Avg K/D
55.4ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1060%0.9313.0
Mirage743%1.0614.4
Nuke617%0.529.0
Ancient333%0.6912.3
Vertigo250%0.8814.5
Overpass1100%3.0015.0

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.

13.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
32.9%Spray accuracy
68.2%Counter-strafing
10.7°Preaim
663msReaction time
30.9%T opening success
42.9%CT opening success
0.67Enemies flashed / flash
14.7%Flash assists
12.00HE damage / grenade
7.94Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9435% — below the 15% mark we flag

    Aim Training
  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 30.8831% — below the 40% mark we flag

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0311%7 Sept
nuke15–15-0.0519%1 Sept
ancient6–13-0.0211%29 Aug
cache13–70.0113%24 Aug
inferno13–60.0218%24 Aug
cache11–13-0.0214%23 Aug
dust22–13-0.0816%19 Aug
inferno6–10-0.0212%19 Aug
dust215–150.0413%15 Aug
inferno9–13-0.0419%4 Aug
inferno0–5-0.1125%4 Aug
cache13–3-0.0614%4 Aug
nuke13–4-0.027%4 Aug
inferno11–130.0314%4 Aug
cache12–12-0.035%4 Aug
dust27–130.0216%2 Aug
dust212–12-0.0111%15 Jul
nuke13–6-0.104%7 Jul
mirage6–13-0.0810%6 Jul
dust28–13-0.0114%30 Jun
inferno13–10-0.0315%26 Jun
dust213–90.0314%26 Jun
mirage13–10-0.0424%24 Jun
dust213–110.0221%22 Jun
nuke13–8-0.029%6 Jun
dust213–90.048%3 Jun
cache8–13-0.0114%2 Jun
inferno9–13-0.0512%2 Jun
inferno10–13-0.0217%1 Jun
mirage13–50.0922%29 May
inferno13–70.0210%27 May
ancient13–100.0113%27 May
inferno13–80.0426%25 May
dust23–130.0916%25 May
ancient9–13-0.0716%24 May
cache4–13-0.0317%24 May
dust213–50.1025%24 May
cache9–130.0729%23 May
mirage10–13-0.025%23 May
anubis13–00.085%23 May
office4–130.038%22 May
cache13–11-0.023%22 May
cache1–13-0.1011%21 May
inferno7–13-0.0316%21 May
inferno13–60.0028%19 May
cache4–130.028%19 May
cache2–13-0.0216%17 May
cache5–13-0.065%12 May
mirage10–3-0.0128%12 May
cache5–13-0.0518%11 May
inferno11–13-0.0128%7 May
cache13–11-0.0317%5 May
cache2–13-0.0610%5 May
cache13–90.0120%4 May
cache13–110.024%3 May
inferno13–20.0232%2 May
inferno13–8-0.068%18 Apr
nuke13–110.0122%9 Apr
dust210–13-0.0612%31 Mar
inferno8–130.0014%31 Mar
dust26–13-0.0215%28 Mar
inferno11–130.029%27 Mar
overpass16–140.0615%26 Mar
mirage3–13-0.0215%13 Mar
nuke10–13-0.0115%13 Mar
dust29–13-0.0517%12 Mar
inferno7–13-0.0913%11 Mar
ancient13–40.067%11 Mar
inferno13–9-0.0120%10 Mar
overpass13–110.0213%9 Mar
inferno11–130.019%27 Feb
dust213–70.017%27 Feb
mirage1–13-0.084%25 Feb
dust213–7-0.0118%25 Feb
dust23–13-0.0414%24 Feb
dust213–30.0326%24 Feb
mirage9–130.0415%24 Feb
mirage13–80.0614%23 Feb
dust210–130.0223%23 Feb
ancient11–13-0.0129%19 Feb
nuke8–13-0.066%19 Feb
dust211–130.0615%19 Feb
ancient13–16-0.0319%18 Feb
dust212–120.0218%17 Feb
inferno13–11-0.0411%16 Feb
nuke4–13-0.0813%16 Feb
ancient4–13-0.0730%12 Feb
inferno8–13-0.0224%11 Feb
dust210–13-0.0114%11 Feb
anubis16–130.0217%11 Feb
inferno1–13-0.0629%11 Feb
dust21–13-0.0722%11 Feb
overpass1–13-0.113%5 Feb
inferno8–130.0118%5 Feb
inferno13–70.0520%4 Feb
dust24–13-0.0020%4 Feb
overpass11–130.0424%2 Feb
dust213–50.0414%1 Feb
office4–13-0.0613%1 Feb
inferno13–8-0.0533%1 Feb

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 →