@MiQuatr0

@MiQuatr0 — CS2 Stats

FI76561198042128783[U:1:81863055]Steam profile ↗✓ No bans

789Tracked matches53%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating25,785Top 10% of 212,910 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14917 of 259680 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 25,785 → 25,785
+23Tracked matches · now 789
−6.7ppWin rate · 60.0% → 53.3%

Rating over time

Premier CS Rating: 25,785 +5,807 2 Oct – 18 Sept · 14 days played
19,97825,785peak 25,7852 Oct18 Sept
25,785Peak Premier in tracked matches
32Days played since 2025-10-02

Premier CS Rating

  • At peak — 25,785
  • +2,790 over 90 days
  • Next: Gold band at 30,000 — 4,215 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-18
  • Pink band first seen 2026-09-18

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

Share this profile

CSDB.GG@MiQuatr0PREMIER25,785 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning64
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWWLLLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · −20ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 463ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 524ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

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 (+1.3 against its own average).

Aim7.5
Utility6.0
Positioning6.4
Opening Duels3.1
Clutch5.0

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

iM

Plays most like iM 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.5
Positioning6.4
Utility6.0
Mechanics6.9
Opening Duels3.6
Win Impact6.1

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time544ms−53ms
first ⅓ avg 597ms → last ⅓ avg 544ms
Headshot accuracy17.1%−0.1%
first ⅓ avg 17.2% → last ⅓ avg 17.1%

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

0.16Best match rating · 13–4 · nuke, 4 Aug →
44%Best headshot accuracy · 7–13 · dust2, 27 Jun →
414msFastest reaction time · 5–13 · anubis, 10 Sept →
13–1Biggest win · overpass, 4 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 70% over 20infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%-0.00
ancientS2014–670%0.01
nukeA149–564%0.04
dust2B147–750%-0.00
infernoC145–936%0.02
cacheA74–357%0.01
anubisA53–260%0.00
overpass—42–250%0.02
train—21–150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

636Matches
52%Win rate
1.27Avg K/D
82.8ADR
41%Headshot %

Clutches & streaks

45%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1963%1.5721.3
Anubis1968%1.5517.2
Ancient1942%1.0917.4
Mirage1155%1.4817.1
Cache850%1.1216.8
Inferno333%1.4222.7
Vertigo250%1.5219.0
Dust220%0.8215.0

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.

17.2%Headshot accuracy
35.1%Accuracy (enemy spotted)
40.0%Spray accuracy
80.8%Counter-strafing
9.8°Preaim
546msReaction time
42.2%T opening success
46.6%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
9.52HE damage / grenade
7.58Flashes / match

Recommended for you

Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.1420%18 Oct →
cache13–10-0.0025%11 Oct →
nuke8–130.0318%11 Oct →
nuke7–130.0018%11 Oct →
mirage8–130.0111%27 Sept →
cache11–130.0113%15 Sept →
nuke13–100.0520%13 Sept →
cache13–11-0.0513%13 Sept →
anubis13–3-0.0122%13 Sept →
dust213–9-0.0216%10 Sept →
dust23–70.1120%10 Sept →
anubis5–130.0215%10 Sept →
ancient13–9-0.028%10 Sept →
mirage10–13-0.0414%9 Sept →
ancient13–110.0216%2 Sept →
mirage10–13-0.0417%2 Sept →
dust213–100.0317%2 Sept →
cache4–13-0.049%2 Sept →
mirage8–13-0.0411%14 Aug →
cache13–70.1023%14 Aug →
dust213–70.0030%14 Aug →
ancient13–60.0715%14 Aug →
anubis10–130.0314%7 Aug →
mirage1–13-0.0616%7 Aug →
ancient13–40.0416%7 Aug →
nuke13–40.1618%4 Aug →
ancient11–13-0.0119%4 Aug →
ancient16–120.0225%4 Aug →
ancient6–130.0115%21 Jul →
inferno13–110.0322%12 Jul →
cache13–60.1013%12 Jul →
mirage13–70.0725%12 Jul →
ancient13–9-0.0014%27 Jun →
mirage13–50.0113%27 Jun →
dust27–130.0344%27 Jun →
inferno13–4-0.0115%27 Jun →
cache6–13-0.0225%27 Jun →
dust26–130.0120%21 Apr →
overpass14–160.0115%21 Apr →
nuke13–6-0.0326%21 Apr →
mirage9–13-0.0228%21 Apr →
inferno5–13-0.0326%9 Apr →
overpass13–10.0821%4 Apr →
dust211–13-0.0811%4 Apr →
ancient13–7-0.0410%4 Apr →
nuke13–70.0227%4 Apr →
inferno12–160.1118%26 Mar →
nuke5–130.0320%13 Mar →
overpass13–40.0717%13 Mar →
ancient13–50.0512%13 Mar →
ancient13–4-0.0134%13 Mar →
mirage13–5-0.037%13 Mar →
dust27–13-0.0713%7 Mar →
ancient7–130.0920%7 Mar →
mirage11–13-0.0015%7 Mar →
inferno11–130.0625%7 Mar →
mirage9–13-0.046%28 Feb →
anubis13–50.0211%28 Feb →
dust216–14-0.0216%28 Feb →
nuke9–130.0516%20 Feb →
mirage13–4-0.0112%20 Feb →
inferno13–60.0516%20 Feb →
ancient15–150.0421%20 Feb →
anubis13–9-0.0613%13 Feb →
ancient13–8-0.0016%13 Feb →
inferno13–70.1522%13 Feb →
inferno3–13-0.0622%13 Feb →
nuke13–40.0716%13 Feb →
mirage8–20.039%29 Dec →
mirage0–13-0.1017%29 Dec →
overpass7–13-0.0821%29 Dec →
ancient13–4-0.0211%29 Dec →
inferno6–13-0.0222%29 Dec →
nuke13–30.0324%29 Dec →
inferno11–130.0522%9 Dec →
mirage7–130.089%9 Dec →
dust210–13-0.0224%9 Dec →
ancient10–13-0.0015%9 Dec →
mirage13–110.0914%29 Nov →
inferno13–10-0.0213%29 Nov →
nuke13–40.0527%29 Nov →
ancient13–10-0.0017%21 Nov →
inferno7–13-0.0619%21 Nov →
nuke6–13-0.0623%21 Nov →
dust213–7-0.0520%21 Nov →
mirage8–13-0.0415%12 Nov →
inferno6–13-0.0218%12 Nov →
ancient16–140.0317%12 Nov →
train11–13-0.086%5 Nov →
dust213–60.0017%5 Nov →
ancient7–13-0.0112%5 Nov →
nuke13–30.0120%18 Oct →
dust29–13-0.0218%18 Oct →
ancient13–9-0.0113%18 Oct →
mirage13–40.0711%15 Oct →
dust213–70.0325%15 Oct →
mirage13–9-0.037%15 Oct →
train13–50.0120%15 Oct →
mirage13–100.0828%2 Oct →
inferno14–160.0418%2 Oct →

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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