Loverboy3000 — CS2 Stats

76561199086901204[U:1:1126635476]

160Tracked matches59%Win rate2021Tracked since
CSDB Rating6.1 SolidHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLoverboy3000FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning52
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY57376Last 10057%Win rateWLLWLWLLWL

Last 10 vs previous 10: -20pp win rate · -0.08 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression4.5
Utility3.0
Positioning5.2
Opening Duels2.6

Excellent counter-strafingStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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.

T-side openings. Opening success drops from 58% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms 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

Aim7.3
Positioning5.2
Utility3.0
Mechanics8.5
Opening Duels3.6
Win Impact7.9

Composite 6.1/10 (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 rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time684ms+54ms
first ⅓ avg 630ms → last ⅓ avg 684ms
Headshot accuracy25.5%+5.4%
first ⅓ avg 20.1% → last ⅓ avg 25.5%

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.

Highlights

0.21Best rating — train 10–13
161Biggest win — nuke
7Longest win streak
78In matches decided by ≤2 rounds
49Overtime games

Map breakdown

vertigoBest map · 67% over 12infernoWeakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%0.03
dust2A2011955%0.02
infernoB168850%0.03
vertigoS128467%0.06
ancientS64267%0.03
overpassB63350%0.02
cacheA53260%0.07
nukeA53260%0.05
train31233%0.07
anubis330100%0.03
office1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

108Matches
58%Win rate
1.45Avg K/D
ADR
47%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo367%1.7217.7
Mirage1100%1.8917.0
Overpass10%1.0619.0
Ancient1100%2.7522.0

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.

24.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.0%Spray accuracy
88.4%Counter-strafing
9.2°Preaim
689msReaction time
22.2%T opening success
58.5%CT opening success
0.59Enemies flashed / flash
5.0%Flash assists
2.51HE damage / grenade
11.08Flashes / 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

    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 22.1992% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–40.0524%24 May
ancient12–160.0825%8 Mar
mirage7–13-0.0638%28 Feb
mirage13–2-0.0723%28 Feb
mirage1–13-0.1017%28 Feb
ancient13–2-0.0130%23 Feb
dust22–130.0125%23 Feb
ancient3–10-0.0313%22 Feb
dust213–80.0930%22 Feb
inferno1–13-0.0436%31 Oct
dust29–130.1020%31 Oct
train10–130.2132%20 Jul
overpass10–130.0422%19 Jul
dust213–40.0320%19 Jul
ancient13–30.129%16 Nov
vertigo5–13-0.0022%24 Oct
vertigo13–40.1718%22 Oct
vertigo13–40.0213%22 Oct
ancient16–130.0614%2 Sept
dust29–6-0.0437%6 Aug
mirage9–50.1238%6 Aug
mirage9–30.1628%19 Jun
vertigo9–40.0227%13 Jun
mirage8–8-0.0124%13 Jun
mirage9–60.0929%13 Jun
dust29–30.0544%13 Jun
dust24–9-0.138%12 Jun
dust29–40.1034%11 Jun
cache9–60.1031%11 Jun
mirage6–9-0.0423%9 Jun
dust23–9-0.0327%8 Jun
anubis9–10.0528%8 Jun
inferno9–30.0828%8 Jun
vertigo8–80.1634%5 Jun
vertigo9–40.0229%4 Jun
nuke9–60.1136%29 May
dust29–50.1232%28 May
cache9–70.0037%28 May
mirage8–80.1230%23 May
cache8–80.1940%18 May
anubis9–4-0.0314%18 May
dust29–50.0638%14 May
vertigo9–30.2030%14 May
dust29–50.0233%14 May
dust29–7-0.0245%14 May
cache4–9-0.0927%13 May
dust28–80.0544%13 May
cache9–70.1533%16 Apr
office8–8-0.0241%11 Apr
nuke2–9-0.0624%11 Apr
vertigo9–40.0314%10 Apr
inferno6–90.1234%10 Apr
inferno16–70.0822%23 Dec
inferno16–80.0316%23 Dec
mirage14–16-0.0014%17 Dec
mirage16–30.1719%16 Dec
inferno12–160.0622%16 Dec
anubis16–110.069%16 Dec
inferno13–160.0319%6 Dec
inferno10–16-0.0420%30 Sept
inferno14–160.0420%26 Sept
mirage5–160.0323%10 Jul
inferno16–9-0.0318%10 Jul
vertigo19–170.0113%18 May
dust211–16-0.0221%18 May
mirage16–140.0322%18 May
mirage11–160.0029%16 Apr
dust220–22-0.0419%10 Apr
nuke25–230.0322%9 Apr
inferno4–16-0.0123%9 Apr
dust216–110.0216%9 Apr
dust216–90.0416%7 Apr
ancient16–11-0.049%7 Apr
mirage16–12-0.0218%3 Apr
overpass16–7-0.0019%30 Mar
dust27–160.0018%25 Mar
mirage17–190.0317%25 Mar
vertigo11–160.0920%24 Mar
mirage16–80.0619%23 Mar
mirage12–3-0.0415%23 Mar
mirage16–130.0113%22 Mar
mirage14–160.0315%21 Mar
mirage16–120.0118%20 Mar
train9–16-0.0510%20 Mar
inferno16–100.0532%20 Mar
nuke16–10.1214%20 Mar
overpass14–160.014%20 Mar
overpass16–110.0814%19 Mar
inferno14–160.0228%19 Mar
vertigo16–10-0.0224%18 Mar
inferno16–130.0118%14 Mar
train16–30.0445%13 Mar
vertigo14–160.0523%13 Mar
inferno16–60.0540%13 Mar
nuke12–160.0322%13 Mar
mirage16–40.0818%12 Mar
overpass12–16-0.0125%12 Mar
dust26–160.0526%12 Mar
overpass16–120.0122%12 Mar
inferno16–140.0821%14 Jan

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 →