miguliuzzzzz

miguliuzzzzz — CS2 Stats

JM76561197967236301[U:1:6970573]Steam profile ↗✓ No bans

2,826Tracked matches34%Win rate2020Tracked since
9,216Hours in CS10Hrs last 2 wks
CSDB Rating3.0 LearningSupport
FaceitLevel 4 · 1,313 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,313 → 1,313
+58Tracked matches · now 2,826
−15.5ppWin rate · 50.0% → 34.5%

Rating over time

Faceit ELO: 1,313 +0 14 Sept – 23 Sept · 2 observations
1,3131,313peak 1,31314 Sept23 Sept
1,313Highest Faceit ELO seen on CSDB
71Days played since 2026-01-23

Faceit ELO

  • At peak — 1,313
  • Next: Level 7 at 1,351 — 38 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-14
  • Level 5 first seen 2026-09-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate42.3%42.7%43.8%1.5% short
Shot accuracy15.6%11.2%12.0%above
Kill/death ratio0.720.991.020.29 short
Match win rate42.5%43.9%44.7%2.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmiguliuzzzzzFACEITLevel 4 · 1,313 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,313csdb.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

Aim28
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateWLLLLLLWLL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +3.2pp headshot accuracy · −72ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 585ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 621ms

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 (+2.7 against its own average).

Aim2.8
Utility6.6
Positioning4.8
Opening Duels0.2
Clutch4.0

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 52% 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. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.8
Positioning4.8
Utility6.6
Mechanics3.3
Opening Duels0.9
Win Impact0.0

Composite 3.0/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time615ms−63ms
first ⅓ avg 678ms → last ⅓ avg 615ms
Headshot accuracy15.6%−0.0%
first ⅓ avg 15.6% → last ⅓ avg 15.6%

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

0.05Best match rating · 16–13 · dust2, 19 Mar →
33%Best headshot accuracy · 4–13 · nuke, 4 Jul →
430msFastest reaction time · 10–13 · nuke, 23 Jul →
13–3Biggest win · nuke, 7 Feb →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 58% over 12cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%-0.04
infernoB2211–1150%-0.03
dust2A2112–957%-0.04
anubisA127–558%-0.04
cacheD82–625%-0.03
ancientD62–433%-0.06
overpassC52–340%-0.06

Across the last 100 tracked matches.

Lifetime stats

204,485Lifetime kills
0.72K/D
11,480Matches
42.5%Match win rate
42.3%Headshot %
15.6%Shot accuracy · Top 25% of Level 4 players
22,694MVPs
5,811Hours (in match)
13,502Bombs planted
2,014Bombs defused

Most-used weapons

AK-4751,562
XM101418,216
P9012,988
AWP10,730
P2507,909
Tec-97,262
Knife4,885

Lifetime map wins

31,205dust2
24,654inferno
14,995nuke
11,486train
2,202cbble
193vertigo
173aztec
120dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,751Matches
50%Win rate
0.75Avg K/D
65.8ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
16%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke28358%0.7812.8
Dust224150%0.7111.5
Inferno22752%0.7312.0
Anubis20648%0.6911.8
Overpass8446%0.6911.6
Ancient3923%0.5810.8
Cache3543%0.6310.1
Mirage1429%0.8112.1

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.

15.6%Headshot accuracy
27.8%Accuracy (enemy spotted)
30.5%Spray accuracy
65.0%Counter-strafing
12.7°Preaim
610msReaction time
33.9%T opening success
33.2%CT opening success
0.63Enemies flashed / flash
7.7%Flash assists
10.90HE damage / grenade
9.89Flashes / 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 12.6528° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno16–140.0418%31 Oct →
cache11–13-0.0421%30 Oct →
nuke7–13-0.0613%30 Oct →
ancient8–13-0.0718%30 Oct →
ancient5–13-0.0610%28 Oct →
anubis5–13-0.0616%26 Oct →
dust211–13-0.0217%17 Oct →
nuke13–9-0.0416%16 Oct →
inferno12–16-0.0829%15 Oct →
nuke3–13-0.0419%12 Oct →
inferno10–13-0.0413%2 Oct →
nuke13–16-0.0710%2 Oct →
dust213–5-0.130%2 Oct →
cache13–6-0.0218%2 Oct →
dust210–13-0.0523%1 Oct →
ancient13–8-0.0116%1 Oct →
dust213–6-0.0519%1 Oct →
anubis13–90.0026%27 Sept →
inferno9–13-0.0416%26 Sept →
inferno13–5-0.033%25 Sept →
nuke15–15-0.0515%25 Sept →
inferno6–13-0.0219%24 Sept →
inferno9–13-0.069%23 Sept →
ancient3–13-0.099%23 Sept →
inferno11–130.0120%13 Sept →
dust213–100.015%11 Sept →
cache10–13-0.0619%11 Sept →
anubis7–13-0.058%10 Sept →
ancient13–8-0.0812%10 Sept →
cache8–130.0328%3 Sept →
nuke13–10-0.0622%1 Sept →
dust27–130.0119%1 Sept →
nuke9–13-0.0414%23 Aug →
dust28–13-0.0716%12 Aug →
dust213–60.0319%10 Aug →
inferno13–70.0218%9 Aug →
nuke18–22-0.0518%4 Aug →
anubis8–13-0.0412%3 Aug →
nuke10–13-0.0510%23 Jul →
anubis13–11-0.049%21 Jul →
dust29–13-0.0315%14 Jul →
nuke19–16-0.0721%5 Jul →
overpass13–10-0.0914%5 Jul →
nuke4–13-0.0933%4 Jul →
dust213–5-0.0319%4 Jul →
inferno13–8-0.0211%3 Jul →
nuke13–10-0.0518%2 Jul →
dust222–20-0.0719%29 Jun →
inferno13–110.0124%28 Jun →
dust211–13-0.0327%28 Jun →
anubis13–7-0.0515%18 Jun →
nuke9–13-0.0713%18 Jun →
ancient11–13-0.0310%17 Jun →
dust213–11-0.0129%14 Jun →
inferno16–19-0.0610%12 Jun →
nuke13–10-0.0629%9 Jun →
dust213–9-0.0216%6 Jun →
cache7–13-0.0216%5 Jun →
cache17–19-0.078%20 May →
nuke13–11-0.0113%19 May →
inferno13–9-0.0618%19 May →
dust210–13-0.1018%11 May →
dust213–7-0.0116%7 May →
cache8–13-0.0614%5 May →
cache13–10-0.0321%29 Apr →
overpass4–13-0.0415%25 Apr →
overpass4–13-0.0415%25 Apr →
inferno13–7-0.0514%25 Apr →
dust213–9-0.0111%25 Apr →
inferno11–13-0.0511%25 Apr →
anubis2–13-0.1024%24 Apr →
anubis13–10-0.0111%24 Apr →
nuke19–17-0.0528%18 Apr →
nuke12–160.0122%17 Apr →
dust29–13-0.1010%4 Apr →
inferno13–9-0.059%3 Apr →
inferno11–13-0.0910%30 Mar →
anubis5–13-0.046%26 Mar →
inferno13–4-0.086%25 Mar →
nuke13–80.0424%25 Mar →
nuke13–80.0214%24 Mar →
nuke12–16-0.0516%22 Mar →
nuke13–11-0.0311%19 Mar →
dust216–130.0526%19 Mar →
overpass10–13-0.094%18 Mar →
inferno4–13-0.0727%12 Mar →
dust213–7-0.0518%12 Mar →
inferno11–13-0.0321%28 Feb →
nuke7–13-0.0225%21 Feb →
nuke11–13-0.048%14 Feb →
nuke16–14-0.0114%14 Feb →
inferno13–110.0311%14 Feb →
nuke13–3-0.0217%7 Feb →
inferno13–9-0.0220%7 Feb →
anubis19–15-0.0110%2 Feb →
overpass13–10-0.0125%31 Jan →
anubis13–5-0.045%31 Jan →
nuke13–9-0.0415%29 Jan →
anubis13–8-0.0132%28 Jan →
dust215–15-0.0612%23 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.