Renaissance man

Renaissance man — CS2 Stats

FI76561197997762233[U:1:37496505]Steam profile ↗✓ No bans

2,049Tracked matches57%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (69 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 2,049
−4.9ppWin rate · 62.1% → 57.1%

Rating over time

Premier CS Rating: 18,569 +3,261 25 Jul – 28 Aug · 13 days played
15,30819,128peak 19,12825 Jul28 Aug
19,235Peak Premier in tracked matches
1,642Highest Faceit ELO seen on CSDB
29Days played since 2024-07-25

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.

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CSDB.GGRenaissance manPEAK ELO1,642csdb.gg/stats

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Performance scores

Aim80
Positioning41
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateTWLLWLWLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −4.6pp headshot accuracy · +7ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 586ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 551ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 547ms

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 (+1.4 against its own average).

Aim8.0
Utility4.7
Positioning4.1
Opening Duels1.2
Clutch3.2

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 39 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.

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

Aim8.0
Positioning4.1
Utility4.7
Mechanics7.0
Opening Duels0.8
Win Impact7.4

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time544ms−36ms
first ⅓ avg 580ms → last ⅓ avg 544ms
Headshot accuracy12.0%−3.4%
first ⅓ avg 15.4% → last ⅓ avg 12.0%

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

0.21Best match rating · 13–3 · inferno, 25 Jul →
36%Best headshot accuracy · 2–13 · dust2, 14 Nov →
422msFastest reaction time · 13–11 · anubis, 26 Jul →
13–1Biggest win · anubis, 11 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 73% over 11vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
anubisS1913–668%0.01
nukeC177–1041%0.01
infernoB178–947%0.02
mirageA127–558%0.02
dust2S118–373%0.03
ancientS96–367%-0.01
vertigoD62–433%0.04
overpass—41–325%-0.01
train—32–167%-0.00
cache—20–20%-0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,545Matches
50%Win rate
1.11Avg K/D
76.6ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3053%1.4115.6
Inferno2945%1.1516.4
Nuke2264%1.0814.9
Ancient2119%0.8713.8
Mirage1937%0.9115.6
Dust2944%0.9314.7
Vertigo850%1.3017.0
Train743%1.1016.0

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.

11.9%Headshot accuracy
40.4%Accuracy (enemy spotted)
45.5%Spray accuracy
81.5%Counter-strafing
10.1°Preaim
542msReaction time
29.4%T opening success
36.2%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
10.64HE damage / grenade
5.71Flashes / 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 11.9424% — below the 15% mark we flag

    Aim Training →
  2. 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 29.4487% — below the 40% mark we flag

Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0112%27 Oct →
anubis13–7-0.0212%27 Oct →
cache8–130.0019%25 Oct →
ancient4–13-0.084%3 Sept →
anubis13–70.0419%19 Jun →
nuke5–13-0.0211%23 May →
mirage13–50.099%23 May →
nuke8–13-0.029%23 May →
inferno13–60.014%23 May →
inferno3–13-0.100%23 May →
mirage13–10-0.0513%22 May →
anubis11–10.0823%22 May →
nuke13–60.085%22 May →
dust215–15-0.0115%22 May →
ancient13–80.0314%22 May →
dust211–13-0.0121%22 May →
anubis16–13-0.047%22 May →
ancient13–100.047%22 May →
overpass4–13-0.0923%22 May →
ancient16–140.0117%22 May →
dust213–70.0515%22 May →
dust211–4-0.0115%22 May →
overpass8–13-0.006%22 May →
mirage13–80.0816%22 May →
mirage13–30.0512%22 May →
inferno9–13-0.0112%22 May →
ancient4–13-0.047%22 May →
nuke8–13-0.015%22 May →
overpass8–13-0.0211%22 May →
inferno13–50.0117%22 May →
inferno13–70.0415%21 May →
anubis13–30.0711%21 May →
dust213–100.0811%21 May →
inferno11–130.0816%21 May →
inferno11–130.059%21 May →
dust213–70.1012%21 May →
ancient13–10-0.0120%21 May →
overpass16–130.0810%21 May →
nuke11–13-0.0213%21 May →
mirage14–160.0122%21 May →
anubis6–13-0.047%21 May →
mirage9–13-0.029%21 May →
nuke13–90.0815%21 May →
mirage13–8-0.0715%21 May →
dust213–30.0013%21 May →
inferno13–110.0413%19 May →
anubis13–8-0.0113%19 May →
nuke13–40.0114%14 Apr →
mirage5–13-0.0212%14 Apr →
nuke13–40.0012%7 Oct →
ancient13–10-0.0311%25 Aug →
nuke11–130.035%27 Feb →
anubis13–10.1817%11 Feb →
anubis13–16-0.029%3 Feb →
anubis5–13-0.0812%29 Jan →
nuke13–90.0433%27 Jan →
anubis13–40.0012%18 Nov →
train13–9-0.0415%14 Nov →
train13–40.0025%14 Nov →
train11–130.0321%14 Nov →
dust22–13-0.0636%14 Nov →
ancient10–13-0.039%30 Aug →
nuke13–16-0.0317%30 Aug →
anubis9–13-0.0814%30 Aug →
mirage3–130.0420%29 Aug →
ancient13–90.0417%22 Aug →
nuke11–13-0.0116%21 Aug →
anubis13–11-0.0015%12 Aug →
inferno10–130.0216%30 Jul →
dust213–110.0132%30 Jul →
anubis13–60.047%30 Jul →
vertigo15–150.0517%30 Jul →
inferno11–13-0.0113%30 Jul →
nuke13–60.038%30 Jul →
nuke11–13-0.028%29 Jul →
anubis13–9-0.0221%29 Jul →
vertigo13–60.0922%29 Jul →
anubis6–13-0.0214%28 Jul →
dust213–50.0225%28 Jul →
inferno10–13-0.0721%28 Jul →
nuke3–13-0.0511%28 Jul →
inferno13–1-0.0020%28 Jul →
mirage13–40.0318%28 Jul →
inferno6–13-0.0313%27 Jul →
vertigo9–13-0.0012%26 Jul →
anubis13–110.084%26 Jul →
nuke15–150.0214%26 Jul →
inferno13–110.1616%26 Jul →
anubis5–130.0412%26 Jul →
mirage13–20.0522%26 Jul →
dust216–120.1017%26 Jul →
vertigo11–130.0520%26 Jul →
inferno16–130.0318%26 Jul →
vertigo15–150.0416%25 Jul →
inferno6–13-0.047%25 Jul →
nuke13–90.079%25 Jul →
vertigo13–100.0117%25 Jul →
anubis13–80.0118%25 Jul →
mirage12–160.049%25 Jul →
inferno13–30.2114%25 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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