MIQI[FIN]

MIQI[FIN] — CS2 Stats

76561197971865046[U:1:11599318]Steam profile ↗✓ No bans

852Tracked matches41%Win rate2025Tracked since
CSDB Rating4.9 DevelopingClutch Specialist
Premier CS Rating5,310Light Blue band · top ~77.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (41 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: 5,310 -1,145 30 Aug – 25 Sept · 13 days played
5,3108,176peak 8,17630 Aug25 Sept
8,764Peak Premier in tracked matches
33Days played since 2026-08-06

Premier CS Rating

  • 2,866 below peak (8,176)
  • -1,145 over 30 days · declining
  • Next: Blue band at 10,000 — 4,690 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGMIQI[FIN]FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER5,310 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning51
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLLLLWWWLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · +23ms reaction

Win rate 0pp 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 -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 591ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 579ms

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 (+3.8 against its own average).

Aim8.2
Utility2.8
Positioning5.1
Opening Duels0.9
Clutch8.0

Limited utility dependenceReliable 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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 12.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 45% on T to 29% on CT — first contacts on the defending side are being lost.

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

Aim8.2
Positioning5.1
Utility2.8
Mechanics7.8
Opening Duels1.8
Win Impact2.1

Composite 4.9/10 (Developing), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time573ms−3ms
first ⅓ avg 576ms → last ⅓ avg 573ms
Headshot accuracy10.5%−0.9%
first ⅓ avg 11.3% → last ⅓ avg 10.5%

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

0.14Best match rating · 13–4 · cache, 22 Sept →
33%Best headshot accuracy · 13–2 · train, 1 Sept →
406msFastest reaction time · 9–3 · nuke, 14 Sept →
13–1Biggest win · ancient, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–11In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 56% over 9anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2010–1050%0.01
cacheB179–853%0.01
ancientC146–843%-0.01
infernoA95–456%-0.01
dust2C94–544%-0.00
mirageC94–544%-0.02
trainA95–456%0.02
anubisD50–50%-0.03
vertigoC52–340%0.04
office—21–150%0.00
italy—10–10%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
46%Win rate
1.22Avg K/D
78.2ADR
25%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%1.5615.3
Anubis30%0.8212.3
Mirage2100%1.2214.0
Ancient250%0.6512.0
Dust21100%2.4024.0
Vertigo10%1.4423.0
Inferno10%1.1218.0

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.

10.4%Headshot accuracy
36.6%Accuracy (enemy spotted)
69.2%Spray accuracy
85.3%Counter-strafing
12.4°Preaim
579msReaction time
44.6%T opening success
29.4%CT opening success
0.36Enemies flashed / flash
1.2%Flash assists
4.99HE damage / grenade
3.96Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3935° — above the 12° mark we flag

    Aim Training →
  2. 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 10.4354% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3641 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0810%27 Oct →
inferno9–130.027%5 Oct →
ancient3–13-0.096%5 Oct →
anubis8–13-0.0214%5 Oct →
dust26–13-0.025%5 Oct →
ancient13–70.0515%5 Oct →
nuke13–60.079%3 Oct →
mirage13–8-0.043%3 Oct →
vertigo7–130.079%3 Oct →
train13–50.0410%2 Oct →
cache13–90.0213%1 Oct →
nuke9–13-0.0214%30 Sept →
office13–50.0313%29 Sept →
train12–120.0418%28 Sept →
anubis11–130.034%26 Sept →
mirage13–40.067%26 Sept →
dust213–80.0711%26 Sept →
anubis3–13-0.073%26 Sept →
nuke13–80.036%26 Sept →
mirage8–130.0514%25 Sept →
nuke6–13-0.0721%25 Sept →
ancient13–10-0.049%25 Sept →
nuke7–130.0221%25 Sept →
mirage11–13-0.0312%25 Sept →
mirage9–13-0.079%24 Sept →
dust23–13-0.0812%24 Sept →
ancient10–13-0.0011%24 Sept →
train13–90.0710%24 Sept →
train9–13-0.0411%24 Sept →
cache11–13-0.029%24 Sept →
vertigo12–12-0.0210%24 Sept →
cache4–13-0.098%23 Sept →
cache9–130.0617%23 Sept →
mirage9–13-0.036%23 Sept →
dust24–13-0.0616%23 Sept →
mirage13–6-0.045%23 Sept →
nuke5–13-0.0522%23 Sept →
vertigo13–40.0517%23 Sept →
italy6–130.0515%22 Sept →
dust213–40.0416%22 Sept →
cache13–40.1413%22 Sept →
inferno4–13-0.0213%22 Sept →
cache5–13-0.0113%22 Sept →
office7–13-0.029%21 Sept →
cache8–13-0.0618%18 Sept →
nuke9–130.129%17 Sept →
train11–13-0.0312%16 Sept →
nuke9–3-0.0123%14 Sept →
nuke0–20.000%14 Sept →
nuke13–100.0312%12 Sept →
inferno13–5-0.0314%12 Sept →
cache8–130.0018%12 Sept →
cache13–110.0320%11 Sept →
vertigo10–130.008%11 Sept →
train11–130.0318%11 Sept →
inferno13–10-0.0811%11 Sept →
dust26–13-0.052%10 Sept →
ancient0–13-0.098%10 Sept →
mirage11–13-0.0311%10 Sept →
nuke13–90.0414%10 Sept →
nuke13–8-0.0016%10 Sept →
ancient2–13-0.0313%10 Sept →
ancient13–11-0.019%10 Sept →
cache13–8-0.0212%10 Sept →
train10–40.0515%10 Sept →
nuke11–13-0.019%9 Sept →
dust213–16-0.067%9 Sept →
cache16–140.0214%9 Sept →
inferno13–30.0211%9 Sept →
cache12–120.0210%9 Sept →
nuke11–13-0.028%8 Sept →
ancient1–13-0.075%7 Sept →
nuke7–130.124%4 Sept →
ancient13–1-0.026%4 Sept →
cache13–10-0.047%4 Sept →
cache13–5-0.0026%4 Sept →
nuke6–70.0211%4 Sept →
cache13–60.1218%4 Sept →
cache4–13-0.016%4 Sept →
ancient13–20.048%3 Sept →
anubis2–13-0.0313%3 Sept →
ancient6–13-0.066%3 Sept →
anubis4–13-0.084%3 Sept →
inferno13–100.0513%3 Sept →
dust213–20.0718%3 Sept →
vertigo11–10.0711%3 Sept →
inferno13–10-0.016%2 Sept →
ancient7–130.106%1 Sept →
inferno6–13-0.0011%1 Sept →
train13–2-0.0233%1 Sept →
nuke13–4-0.029%31 Aug →
dust213–110.0411%30 Aug →
mirage13–10-0.0419%30 Aug →
nuke9–30.096%30 Aug →
nuke13–80.0415%30 Aug →
inferno8–13-0.0016%23 Aug →
ancient13–110.1111%23 Aug →
cache13–100.0318%23 Aug →
train13–20.0410%7 Aug →
ancient11–13-0.034%6 Aug →

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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