Michelangelo

Michelangelo — CS2 Stats

76561198007520991[U:1:47255263]Steam profile ↗✓ No bans

467Tracked matches37%Win rate2020Tracked since
CSDB Rating4.1 DevelopingPositional Player
FaceitLevel 4 · 1,231 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,231 → 1,231
+15Tracked matches · now 467
−23.3ppWin rate · 60.0% → 36.7%

Rating over time

Premier CS Rating: 18,984 +924 27 Dec – 6 Jul · 10 days played
16,58818,984peak 18,98427 Dec6 Jul
18,984Peak Premier in tracked matches
1,231Highest Faceit ELO seen on CSDB
37Days played since 2025-11-07

Faceit ELO

  • At peak — 1,231
  • Next: Level 7 at 1,351 — 120 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-28
  • Level 5 first seen 2026-08-28

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.GGMichelangeloFACEITLevel 4 · 1,231 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,231csdb.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

Aim73
Positioning48
Utility35

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLLWLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · −45ms reaction

Win rate down 30pp 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 10%
  • Avg reaction 453ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 439ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 462ms

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 (+1.5 against its own average).

Aim7.3
Utility3.5
Positioning4.8
Opening Duels2.2
Clutch2.6

Limited utility dependence

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

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

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

Aim7.3
Positioning4.8
Utility3.5
Mechanics4.1
Opening Duels2.0
Win Impact0.6

Composite 4.1/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time502ms−59ms
first ⅓ avg 561ms → last ⅓ avg 502ms
Headshot accuracy13.1%+1.0%
first ⅓ avg 12.2% → last ⅓ avg 13.1%

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

0.10Best match rating · 8–13 · inferno, 10 May →
30%Best headshot accuracy · 10–13 · inferno, 5 Sept →
375msFastest reaction time · 13–8 · inferno, 27 Dec →
13–1Biggest win · ancient, 26 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
11–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 64% over 11mirageWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB3719–1851%-0.02
nukeB178–947%-0.01
anubisA117–464%-0.00
mirageB115–645%0.00
overpassA116–555%-0.02
cacheB63–350%-0.02
dust2—30–30%-0.04
ancient—21–150%0.03
train—21–150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

395Matches
49%Win rate
1.19Avg K/D
69.2ADR
33%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2157%0.8712.1
Anubis1145%1.1418.0
Mirage1070%1.0916.9
Nuke922%0.8514.8
Ancient617%0.8211.0
Overpass650%0.9813.7
Dust220%0.508.5
Cache20%0.8011.0

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.

13.2%Headshot accuracy
35.6%Accuracy (enemy spotted)
43.5%Spray accuracy
68.4%Counter-strafing
9.1°Preaim
481msReaction time
32.7%T opening success
42.9%CT opening success
0.49Enemies flashed / flash
3.3%Flash assists
6.56HE damage / grenade
3.55Flashes / 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 13.1554% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4868 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.7463% — below the 40% mark we flag

Spend your practice time on Mirage

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.039%27 Sept →
anubis6–13-0.008%27 Sept →
cache5–13-0.068%24 Sept →
inferno16–14-0.045%24 Sept →
inferno4–13-0.0619%17 Sept →
inferno13–3-0.0218%17 Sept →
dust23–13-0.0112%11 Sept →
mirage13–90.0413%11 Sept →
inferno10–13-0.0530%5 Sept →
ancient5–130.0321%5 Sept →
inferno8–13-0.0817%5 Sept →
mirage16–140.0710%5 Sept →
inferno13–70.007%5 Sept →
mirage13–16-0.0213%4 Sept →
anubis13–5-0.0213%4 Sept →
inferno6–13-0.0713%26 Aug →
cache9–13-0.046%26 Aug →
ancient13–10.0420%26 Aug →
nuke13–11-0.019%1 Aug →
inferno13–60.0624%1 Aug →
mirage7–13-0.0415%18 Jul →
anubis11–13-0.0228%18 Jul →
mirage13–110.0415%17 Jul →
nuke7–13-0.058%17 Jul →
inferno5–13-0.070%16 Jul →
inferno13–16-0.0411%16 Jul →
anubis5–13-0.0614%16 Jul →
cache6–13-0.0316%16 Jul →
anubis13–6-0.0310%16 Jul →
mirage5–130.0210%12 Jul →
nuke13–10-0.0415%12 Jul →
inferno13–1-0.0413%12 Jul →
cache16–130.026%12 Jul →
cache13–8-0.029%12 Jul →
inferno13–60.0514%11 Jul →
anubis4–13-0.074%11 Jul →
cache13–11-0.005%11 Jul →
inferno13–9-0.039%6 Jul →
inferno16–12-0.035%6 Jul →
nuke13–30.0713%2 Jul →
inferno13–90.0521%2 Jul →
nuke12–16-0.0312%1 Jul →
anubis13–10.0515%1 Jul →
overpass11–13-0.0610%25 Jun →
nuke13–10.0417%25 Jun →
nuke13–160.0016%13 Jun →
overpass13–70.0012%13 Jun →
overpass10–13-0.043%29 May →
inferno13–11-0.033%29 May →
nuke13–11-0.0317%23 May →
inferno13–6-0.057%23 May →
inferno5–13-0.0219%23 May →
nuke13–30.016%23 May →
inferno13–60.0211%23 May →
inferno13–6-0.0220%23 May →
inferno11–13-0.0320%15 May →
overpass16–140.0116%15 May →
anubis13–5-0.0020%10 May →
inferno8–130.1019%10 May →
nuke6–13-0.0615%9 May →
anubis13–50.0616%9 May →
dust211–13-0.0321%9 May →
inferno8–13-0.0211%9 May →
dust28–13-0.0710%9 May →
overpass13–100.0311%9 May →
overpass4–13-0.0513%30 Jan →
overpass13–6-0.0211%18 Jan →
anubis13–60.0111%18 Jan →
overpass9–13-0.018%11 Jan →
anubis19–170.0312%11 Jan →
mirage13–90.0218%11 Jan →
nuke8–130.003%11 Jan →
inferno13–9-0.035%11 Jan →
nuke15–15-0.0412%2 Jan →
inferno13–100.0216%2 Jan →
mirage6–13-0.035%30 Dec →
inferno11–13-0.019%30 Dec →
overpass13–9-0.058%30 Dec →
train8–5-0.0329%29 Dec →
nuke2–00.000%29 Dec →
inferno11–13-0.059%29 Dec →
overpass7–13-0.067%27 Dec →
inferno13–16-0.045%27 Dec →
train6–13-0.0228%27 Dec →
inferno13–8-0.048%27 Dec →
inferno13–60.0110%27 Dec →
mirage6–13-0.0121%27 Dec →
inferno13–100.0228%27 Dec →
nuke10–13-0.0518%26 Dec →
nuke9–130.018%26 Dec →
inferno13–16-0.0117%22 Dec →
nuke8–130.0127%20 Dec →
inferno13–10-0.018%20 Dec →
mirage8–13-0.0110%22 Nov →
nuke13–8-0.0211%22 Nov →
overpass13–110.0610%9 Nov →
inferno10–130.0615%8 Nov →
mirage13–4-0.0413%8 Nov →
inferno11–130.026%8 Nov →
inferno6–13-0.069%7 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 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.