Loverboy

Loverboy — CS2 Stats

MS76561198858973202[U:1:898707474]Steam profile ↗✓ No bans

1,359Tracked matches56%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,359
−3.7ppWin rate · 59.3% → 55.6%

Rating over time

Premier CS Rating: 22,578 -83 8 Nov – 2 Jul · 6 days played
21,45923,928peak 23,9288 Nov2 Jul
23,928Peak Premier in tracked matches
50Days played since 2025-10-18

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

Performance scores

Aim79
Positioning42
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateTLLWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −9.9pp headshot accuracy · +88ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 613ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 649ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

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).

Aim7.9
Utility1.1
Positioning4.2
Opening Duels2.4
Clutch3.0

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 37 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.

Reaction time. 589ms 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

Aim7.9
Positioning4.2
Utility1.1
Mechanics7.9
Opening Duels1.0
Win Impact6.9

Composite 5.4/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time599ms+21ms
first ⅓ avg 578ms → last ⅓ avg 599ms
Headshot accuracy16.0%−6.4%
first ⅓ avg 22.3% → last ⅓ avg 16.0%

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

0.13Best match rating · 12–12 · mirage, 12 May →
67%Best headshot accuracy · 4–6 · mirage, 17 Mar →
391msFastest reaction time · 1–5 · mirage, 8 Sept →
13–1Biggest win · mirage, 17 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 64% over 14mirageWeakest map · 33% over 36
MapGradePlayedRecordWin rateAvg rating
mirageD3612–2433%0.01
dust2A149–564%-0.00
nukeB136–746%-0.01
cacheA138–562%-0.00
infernoA95–456%0.01
anubisC73–443%-0.02
ancient—21–150%-0.02
overpass—22–0100%0.01
alpine—10–10%0.13
vertigo—10–10%0.04
train—11–0100%-0.02
golden—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 36). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

417Matches
54%Win rate
1.15Avg K/D
80.1ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8561%1.0715.5
Anubis4650%1.0316.2
Dust24448%0.9414.2
Ancient4255%1.1215.2
Inferno3551%1.2317.5
Nuke3259%1.3316.7
Vertigo1947%1.3418.6
Overpass475%1.6019.5

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.

16.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.5%Spray accuracy
85.4%Counter-strafing
7.2°Preaim
589msReaction time
28.6%T opening success
38.2%CT opening success
0.17Enemies flashed / flash
0.7%Flash assists
5.07HE damage / grenade
1.52Flashes / 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. 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 0.1675 — below the 0.5 mark we flag

    Grenade Lineups →
  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 28.5952% — 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.

33% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.038%9 Sept →
mirage1–50.047%8 Sept →
nuke3–13-0.1018%12 Jul →
dust213–7-0.0115%12 Jul →
nuke0–13-0.020%12 Jul →
cache13–8-0.060%12 Jul →
cache2–1-0.020%12 Jul →
inferno13–30.1113%12 Jul →
nuke16–14-0.0511%12 Jul →
mirage13–40.0022%12 Jul →
nuke15–15-0.0618%10 Jul →
cache13–6-0.0018%9 Jul →
nuke13–3-0.0320%5 Jul →
dust216–13-0.0019%2 Jul →
mirage12–12-0.0218%30 Jun →
cache13–7-0.0118%27 Jun →
mirage1–13-0.0821%27 Jun →
dust28–13-0.0218%27 Jun →
mirage7–130.0035%21 Jun →
cache8–13-0.048%21 Jun →
cache13–5-0.0113%21 Jun →
nuke9–13-0.0527%21 Jun →
mirage13–9-0.0015%20 Jun →
cache8–13-0.088%20 Jun →
dust213–100.0119%20 Jun →
dust27–13-0.0229%11 Jun →
nuke16–120.0114%23 May →
anubis10–13-0.0027%23 May →
cache13–70.0818%23 May →
mirage1–13-0.0525%22 May →
cache12–120.0011%22 May →
cache13–110.0621%21 May →
mirage5–13-0.0311%21 May →
anubis13–90.0411%20 May →
mirage13–7-0.0217%20 May →
cache10–130.0724%20 May →
mirage12–120.1336%12 May →
cache13–100.0726%12 May →
inferno5–13-0.0412%12 May →
cache2–13-0.0910%10 May →
inferno13–90.0311%25 Apr →
inferno11–130.0416%25 Apr →
dust213–5-0.0113%24 Apr →
inferno13–7-0.0221%24 Apr →
inferno13–9-0.0115%24 Apr →
inferno6–130.0311%24 Apr →
inferno13–7-0.028%23 Apr →
mirage14–16-0.0314%21 Apr →
mirage13–4-0.0414%21 Apr →
dust213–110.0616%15 Apr →
nuke13–100.0326%10 Apr →
mirage6–13-0.0613%10 Apr →
nuke13–11-0.0315%10 Apr →
mirage11–130.1218%7 Apr →
mirage8–130.0525%7 Apr →
anubis3–13-0.0636%7 Apr →
anubis13–100.0318%6 Apr →
mirage13–80.0139%3 Apr →
mirage8–13-0.0314%3 Apr →
nuke5–130.0311%3 Apr →
mirage2–13-0.0940%1 Apr →
dust213–50.0212%26 Mar →
mirage9–130.0113%25 Mar →
alpine7–130.1328%24 Mar →
mirage13–110.0220%24 Mar →
anubis4–13-0.0741%24 Mar →
mirage13–90.0131%23 Mar →
dust28–13-0.0428%23 Mar →
dust213–11-0.0020%23 Mar →
mirage11–13-0.0717%22 Mar →
mirage13–30.1117%22 Mar →
mirage11–130.0726%21 Mar →
dust27–130.0115%20 Mar →
inferno2–50.008%20 Mar →
ancient9–13-0.059%20 Mar →
mirage13–110.0326%18 Mar →
mirage10–13-0.0419%18 Mar →
nuke13–90.0321%17 Mar →
mirage13–10.1032%17 Mar →
mirage4–6-0.0267%17 Mar →
mirage11–13-0.0513%15 Mar →
vertigo10–130.0417%28 Feb →
mirage10–130.0717%28 Feb →
nuke10–130.0327%28 Feb →
anubis13–8-0.0421%21 Feb →
mirage10–130.0115%19 Feb →
mirage3–13-0.0028%12 Feb →
dust216–12-0.0318%12 Feb →
overpass13–30.0230%31 Jan →
dust216–12-0.0125%21 Nov →
mirage13–30.0624%21 Nov →
ancient13–20.0123%8 Nov →
train13–6-0.026%2 Nov →
dust27–13-0.0224%2 Nov →
golden3–13-0.0421%1 Nov →
nuke6–130.0617%1 Nov →
anubis5–13-0.0324%1 Nov →
overpass13–100.0124%26 Oct →
mirage13–60.0125%25 Oct →
mirage9–130.0835%18 Oct →

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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