Lovoline

Lovoline — CS2 Stats

DE76561198381754236[U:1:421488508]Steam profile ↗✓ No bans

1,414Tracked matches39%Win rate2020Tracked since
4,049Hours in CS4Hrs last 2 wks
CSDB Rating5.9 SolidSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,414
−5.1ppWin rate · 44.4% → 39.3%

Rating over time

28Days played since 2026-05-01

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches3——
Win rate0%——
K/D0.50——
Headshot %48%——

Measured 26 Sep 2026 → 1 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6——
Win rate50%——
K/D0.89——
Headshot %51%——

Measured 29 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,868), 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 6 medianLevel 7 medianvs Level 7
Headshot rate45.4%44.8%45.7%meets
Shot accuracy15.7%12.4%12.7%above
Kill/death ratio0.851.031.050.21 short
Match win rate42.5%45.2%45.7%3.2% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLovolineFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.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

Aim81
Positioning49
Utility60

0–100 skill scores via Leetify.

Recent form

COLD48–40–12Last 10048%Win rateLLLWWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −5.4pp headshot accuracy · −130ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 517ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 582ms

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 (+1.5 against its own average).

Aim8.1
Utility6.0
Positioning4.9
Opening Duels2.9
Clutch4.0

Effective flashes

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim8.1
Positioning4.9
Utility6.0
Mechanics8.1
Opening Duels2.5
Win Impact1.4

Composite 5.9/10 (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 rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time601ms−86ms
first ⅓ avg 687ms → last ⅓ avg 601ms
Headshot accuracy19.3%−0.0%
first ⅓ avg 19.3% → last ⅓ avg 19.3%

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

0.11Best match rating · 13–4 · mirage, 10 Jul →
44%Best headshot accuracy · 13–10 · mirage, 16 May →
461msFastest reaction time · 12–12 · anubis, 7 May →
13–1Biggest win · cache, 14 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
5–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 55% over 11nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB4021–1953%-0.02
mirageB168–850%-0.01
dust2A116–555%-0.03
anubisC83–538%-0.02
nukeD51–420%-0.03
inferno—42–250%0.02
ancient—42–250%-0.02
train—30–30%-0.05
overpass—32–167%-0.02
vertigo—21–150%-0.02
office—21–150%0.01
fachwerk—10–10%-0.01
warden—11–0100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,385Lifetime kills
0.85K/D
5,671Matches
42.5%Match win rate
45.4%Headshot % · Top 50% of Level 6 players
15.7%Shot accuracy · Top 25% of Level 6 players
9,821MVPs
2,258Hours (in match)
6,814Bombs planted
1,231Bombs defused

Most-used weapons

AK-4729,489
AWP7,361
MP73,296
UMP-452,773
SSG 082,046

Lifetime map wins

9,040inferno
6,753dust2
2,928nuke
2,058vertigo
1,573train
1,058cbble
447office
377italy

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

Faceit stats

Combat

686Matches
52%Win rate
0.97Avg K/D
72.0ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21573%1.1415.9
Anubis1250%0.9214.5
Inferno850%0.9115.3
Ancient560%1.0515.2
Mirage333%1.1710.0
Nuke250%0.7314.5
Overpass250%0.527.5
Vertigo2100%0.9111.0

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.

20.3%Headshot accuracy
35.9%Accuracy (enemy spotted)
40.6%Spray accuracy
86.5%Counter-strafing
8.8°Preaim
619msReaction time
32.2%T opening success
47.8%CT opening success
0.72Enemies flashed / flash
3.8%Flash assists
12.95HE damage / grenade
6.69Flashes / 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 32.1669% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0421%26 Sept →
anubis10–13-0.1013%26 Sept →
cache2–13-0.0420%26 Sept →
cache13–80.0312%25 Sept →
inferno13–70.0730%25 Sept →
mirage13–110.0416%25 Sept →
fachwerk0–3-0.010%21 Aug →
inferno3–13-0.0418%21 Aug →
anubis11–130.0320%21 Aug →
inferno6–130.0816%17 Aug →
mirage1–110.0112%17 Aug →
cache12–12-0.0024%15 Aug →
dust213–11-0.0832%15 Aug →
nuke11–13-0.078%15 Aug →
anubis13–30.0324%13 Aug →
dust27–13-0.0423%13 Aug →
dust213–2-0.0021%13 Aug →
dust213–100.1028%12 Aug →
train10–13-0.0422%12 Aug →
train12–12-0.0326%12 Aug →
train1–4-0.070%12 Aug →
mirage16–14-0.0123%14 Jul →
cache13–10.037%14 Jul →
nuke11–13-0.0419%11 Jul →
cache14–16-0.0125%10 Jul →
mirage13–3-0.0225%10 Jul →
nuke11–130.0625%10 Jul →
cache9–13-0.0411%10 Jul →
mirage13–40.1133%10 Jul →
dust23–13-0.0415%7 Jul →
ancient12–120.0224%7 Jul →
anubis6–13-0.0624%7 Jul →
anubis13–9-0.0120%2 Jul →
inferno13–7-0.0220%2 Jul →
mirage12–120.0112%2 Jul →
dust23–13-0.0830%2 Jul →
cache4–13-0.0715%2 Jul →
mirage12–12-0.0324%28 Jun →
cache13–10-0.0124%28 Jun →
warden13–20.0339%13 Jun →
cache12–12-0.0421%13 Jun →
dust212–12-0.0339%13 Jun →
ancient15–15-0.0511%13 Jun →
vertigo13–20.0520%13 Jun →
overpass13–7-0.0816%9 Jun →
ancient16–13-0.0118%9 Jun →
dust29–13-0.0225%9 Jun →
dust213–10-0.1010%5 Jun →
cache4–13-0.0920%5 Jun →
vertigo9–13-0.1019%5 Jun →
mirage13–7-0.0723%5 Jun →
overpass11–13-0.0022%20 May →
mirage9–13-0.0530%20 May →
dust213–80.0522%20 May →
cache11–13-0.0320%17 May →
office5–13-0.0325%17 May →
mirage13–100.0344%16 May →
mirage16–13-0.0225%16 May →
overpass13–90.0228%16 May →
dust213–9-0.0314%16 May →
office13–70.0433%13 May →
mirage13–10-0.0226%13 May →
cache13–8-0.0121%13 May →
cache13–11-0.0718%13 May →
mirage5–130.0035%12 May →
cache3–130.0138%12 May →
anubis13–10-0.0224%10 May →
nuke10–13-0.0734%10 May →
cache12–12-0.0418%10 May →
cache13–7-0.0618%10 May →
cache13–7-0.0613%8 May →
cache13–3-0.0111%8 May →
cache13–60.0715%8 May →
cache13–5-0.0625%8 May →
cache10–13-0.0617%8 May →
cache13–70.0316%8 May →
cache13–4-0.0119%8 May →
cache13–10-0.0613%8 May →
nuke13–7-0.0216%7 May →
anubis12–12-0.0211%7 May →
cache13–100.0119%7 May →
cache3–13-0.0729%5 May →
cache4–13-0.0222%5 May →
cache7–13-0.0714%5 May →
cache0–13-0.0540%5 May →
mirage5–13-0.0624%5 May →
anubis8–13-0.0218%4 May →
ancient13–11-0.0512%4 May →
cache13–8-0.0536%4 May →
cache10–13-0.038%4 May →
cache13–60.0017%4 May →
mirage12–12-0.0512%4 May →
cache13–80.0523%2 May →
cache13–30.0115%2 May →
cache13–40.0017%2 May →
cache13–6-0.0123%2 May →
cache12–12-0.0310%1 May →
cache10–13-0.0325%1 May →
cache4–13-0.0220%1 May →
cache13–90.1027%1 May →

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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