mizq

mizq — CS2 Stats

FI76561197961061448[U:1:795720]Steam profile ↗✓ No bans

1,749Tracked matches40%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating20,084Top 50% of 204,793 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#79413 of 251934 tracked
FaceitLevel 8 · 1,948 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (2 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: 20,084 -1,450 19 Aug – 13 Oct · 23 days played
20,08422,765peak 22,76519 Aug13 Oct
22,858Peak Premier in tracked matches
1,948Highest Faceit ELO seen on CSDB
42Days played since 2026-07-08

Faceit ELO

  • At peak — 1,948
  • Next: Level 10 at 2,001 — 53 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier CS Rating

  • 2,681 below peak (22,765)
  • -2,537 over 30 days · declining
  • Next: Red band at 25,000 — 4,916 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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.

Share this profile

CSDB.GGmizqFACEITLevel 8 · 1,948 ELOSTANDINGTop 31.2% of rankedPREMIER20,084 · Pink bandPEAK ELO1,948csdb.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
Positioning64
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWWLWLLWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −8.9pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 554ms

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 (+1.8 against its own average).

Aim5.6
Utility6.5
Positioning6.4
Opening Duels2.1
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 72% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 554ms 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
Positioning6.4
Utility6.5
Mechanics4.8
Opening Duels3.7
Win Impact1.7

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time556ms+21ms
first ⅓ avg 535ms → last ⅓ avg 556ms
Headshot accuracy19.5%−0.0%
first ⅓ avg 19.6% → last ⅓ avg 19.5%

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

0.13Best match rating · 13–2 · inferno, 11 Oct →
44%Best headshot accuracy · 13–6 · inferno, 12 Oct →
406msFastest reaction time · 13–6 · inferno, 12 Oct →
13–2Biggest win · inferno, 11 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
16–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 85% over 20ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2011–955%0.02
nukeS2017–385%0.02
dust2A1912–763%0.01
ancientD175–1229%-0.02
mirageB115–645%-0.02
anubisD72–529%0.00
cacheB63–350%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

625Matches
53%Win rate
1.19Avg K/D
77.5ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke9263%1.1115.8
Inferno6856%1.2315.2
Ancient5936%1.0616.0
Dust25163%1.1214.7
Anubis3938%0.9915.5
Mirage1729%0.9213.7
Train1362%1.1415.6
Overpass838%1.1414.9

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.

18.8%Headshot accuracy
29.2%Accuracy (enemy spotted)
30.8%Spray accuracy
71.7%Counter-strafing
9.3°Preaim
554msReaction time
46.4%T opening success
42.9%CT opening success
0.54Enemies flashed / flash
7.6%Flash assists
8.65HE damage / grenade
15.89Flashes / match

Recommended for you

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0212%14 Oct →
inferno13–11-0.024%14 Oct →
nuke13–40.0517%14 Oct →
inferno8–13-0.079%14 Oct →
dust26–2-0.0441%14 Oct →
dust211–130.0213%13 Oct →
anubis5–13-0.0418%13 Oct →
nuke13–6-0.0115%13 Oct →
anubis7–130.0318%13 Oct →
dust213–80.0622%13 Oct →
inferno9–130.1023%12 Oct →
ancient4–13-0.058%12 Oct →
inferno13–60.0444%12 Oct →
dust29–130.0137%12 Oct →
inferno13–20.1333%11 Oct →
mirage5–13-0.0319%11 Oct →
nuke13–8-0.0122%11 Oct →
nuke13–90.0033%11 Oct →
nuke12–160.0620%10 Oct →
anubis11–130.0221%10 Oct →
mirage13–11-0.045%10 Oct →
dust213–70.0117%10 Oct →
ancient6–13-0.0316%9 Oct →
nuke13–11-0.0622%7 Oct →
dust210–130.0314%7 Oct →
anubis7–13-0.0322%6 Oct →
inferno10–13-0.037%6 Oct →
dust211–13-0.0120%30 Sept →
mirage7–13-0.0618%30 Sept →
ancient2–13-0.1214%30 Sept →
anubis13–11-0.0119%29 Sept →
dust213–11-0.0130%29 Sept →
ancient3–13-0.0810%27 Sept →
cache13–16-0.0230%27 Sept →
anubis8–13-0.029%24 Sept →
nuke13–90.0613%24 Sept →
mirage14–16-0.0513%24 Sept →
nuke13–11-0.0325%23 Sept →
dust216–140.0218%23 Sept →
cache13–9-0.0118%23 Sept →
mirage10–13-0.0720%23 Sept →
mirage3–13-0.0614%23 Sept →
mirage13–100.0220%23 Sept →
ancient13–10-0.0126%22 Sept →
dust213–50.0117%22 Sept →
nuke13–50.0923%22 Sept →
ancient13–10-0.0215%22 Sept →
inferno13–5-0.0617%22 Sept →
inferno13–110.0928%21 Sept →
nuke13–40.0326%21 Sept →
inferno13–80.1014%20 Sept →
dust27–13-0.0122%20 Sept →
cache16–14-0.0216%20 Sept →
nuke13–100.0511%19 Sept →
dust219–170.0125%19 Sept →
nuke13–50.0324%17 Sept →
mirage13–30.0416%16 Sept →
nuke13–110.0428%15 Sept →
inferno2–13-0.0422%15 Sept →
ancient11–13-0.0811%15 Sept →
ancient15–150.0415%14 Sept →
cache8–130.0621%14 Sept →
inferno13–110.0517%13 Sept →
inferno13–90.0314%13 Sept →
anubis13–50.0724%11 Sept →
ancient11–13-0.0213%11 Sept →
nuke6–13-0.0424%5 Sept →
inferno13–110.0124%5 Sept →
inferno5–13-0.0636%3 Sept →
ancient4–13-0.0421%2 Sept →
mirage13–9-0.0220%2 Sept →
nuke2–0-0.050%2 Sept →
ancient9–13-0.0113%31 Aug →
inferno13–8-0.0031%27 Aug →
inferno10–13-0.0215%26 Aug →
inferno8–130.0016%26 Aug →
ancient13–100.0615%25 Aug →
cache9–130.0529%25 Aug →
nuke13–50.0124%24 Aug →
inferno13–20.0626%19 Aug →
ancient13–7-0.0112%18 Aug →
cache13–100.0924%18 Aug →
nuke10–13-0.0411%17 Aug →
inferno1–13-0.0514%17 Aug →
dust213–100.0325%17 Aug →
dust29–13-0.0420%17 Aug →
inferno10–130.0521%16 Aug →
dust213–11-0.0330%16 Aug →
dust213–5-0.0112%16 Aug →
dust26–13-0.0026%15 Aug →
dust216–130.038%6 Aug →
ancient4–13-0.0911%2 Aug →
nuke13–100.0923%30 Jul →
mirage13–100.0136%28 Jul →
ancient8–130.0614%28 Jul →
dust216–120.1027%9 Jul →
ancient13–30.0518%9 Jul →
ancient8–13-0.0312%9 Jul →
nuke13–11-0.0219%9 Jul →
nuke13–40.0612%8 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 →

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