ꨄ︎ Lovely ꨄ

ꨄ︎ Lovely ꨄ — CS2 Stats

CA76561198977609363[U:1:1017343635]Steam profile ↗✓ No bans

408Tracked matches62%Win rate2025Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating20,000Top 50% of 201,122 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79510 of 247947 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 +7,576 2 Aug – 12 Sept · 23 days played
11,36620,102peak 20,1022 Aug12 Sept
20,102Peak Premier in tracked matches
29Days played since 2026-08-02

Premier CS Rating

  • 102 below peak (20,102)
  • +7,249 over 30 days · improving
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGꨄ︎ Lovely ꨄPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWTWWWLWLLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −3.0pp headshot accuracy · +51ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 725ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

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 (+1.9 against its own average).

Aim8.3
Utility3.6
Positioning4.6
Opening Duels0.0

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 83% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower 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 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. 554ms 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

Aim8.3
Positioning4.6
Utility3.6
Mechanics6.9
Opening Duels0.3
Win Impact9.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time567ms−57ms
first ⅓ avg 625ms → last ⅓ avg 567ms
Headshot accuracy18.6%−2.2%
first ⅓ avg 20.9% → last ⅓ avg 18.6%

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

0.16Best match rating · 9–13 · dust2, 3 Aug →
50%Best headshot accuracy · 9–3 · vertigo, 28 Sept →
391msFastest reaction time · 13–9 · ancient, 26 Sept →
13–1Biggest win · mirage, 29 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%0.03
dust2A2213–959%0.03
infernoC166–1038%0.03
nukeB158–753%0.02
ancientS97–278%0.00
cacheB63–350%0.01
anubisS64–267%0.03
vertigo—22–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.9%Headshot accuracy
41.1%Accuracy (enemy spotted)
42.9%Spray accuracy
81.1%Counter-strafing
9.9°Preaim
554msReaction time
32.2%T opening success
23.8%CT opening success
0.36Enemies flashed / flash
1.5%Flash assists
5.93HE damage / grenade
8.56Flashes / 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 0.3564 — 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 32.2349% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.036%1 Oct →
nuke12–12-0.018%28 Sept →
dust213–50.0626%28 Sept →
vertigo9–3-0.0150%28 Sept →
dust213–60.0623%27 Sept →
cache8–130.0217%27 Sept →
ancient13–9-0.017%26 Sept →
ancient1–13-0.077%26 Sept →
inferno11–130.0618%13 Sept →
anubis13–110.059%13 Sept →
dust25–10.0933%13 Sept →
dust25–130.0218%12 Sept →
inferno4–90.0622%12 Sept →
inferno8–80.0223%12 Sept →
nuke16–130.0925%10 Sept →
mirage13–70.0421%10 Sept →
dust211–13-0.0712%8 Sept →
mirage2–13-0.0617%8 Sept →
dust213–100.0320%8 Sept →
dust29–13-0.0912%8 Sept →
ancient13–110.0515%5 Sept →
mirage6–130.0221%5 Sept →
nuke13–90.0724%5 Sept →
mirage13–9-0.025%5 Sept →
dust213–50.0322%5 Sept →
inferno9–130.0420%4 Sept →
anubis8–130.0618%3 Sept →
cache13–110.0620%3 Sept →
nuke13–90.0314%3 Sept →
nuke13–3-0.0132%2 Sept →
inferno13–70.0420%2 Sept →
dust216–140.0418%2 Sept →
nuke10–13-0.0315%2 Sept →
inferno5–13-0.0636%2 Sept →
mirage13–90.1118%1 Sept →
mirage15–150.0122%1 Sept →
mirage13–40.1016%31 Aug →
ancient13–50.0214%31 Aug →
mirage13–110.0226%31 Aug →
nuke4–130.0020%31 Aug →
mirage13–20.0841%31 Aug →
dust213–30.1431%31 Aug →
ancient12–160.0020%30 Aug →
nuke13–50.1038%30 Aug →
mirage13–80.0923%30 Aug →
nuke7–130.0025%30 Aug →
mirage13–100.0818%30 Aug →
inferno13–8-0.0112%29 Aug →
mirage13–50.0626%29 Aug →
inferno8–130.0115%29 Aug →
anubis13–6-0.0532%29 Aug →
inferno13–160.0319%29 Aug →
mirage13–10.0521%29 Aug →
dust26–130.0019%29 Aug →
nuke7–130.0914%29 Aug →
nuke13–100.0011%27 Aug →
inferno4–9-0.1016%27 Aug →
dust213–40.0415%26 Aug →
inferno9–30.1233%26 Aug →
dust211–130.0424%24 Aug →
vertigo9–50.0230%24 Aug →
mirage8–2-0.0714%17 Aug →
mirage13–70.0340%17 Aug →
dust213–40.0217%17 Aug →
dust28–2-0.0333%17 Aug →
dust213–40.0525%17 Aug →
dust213–7-0.0421%16 Aug →
inferno14–160.0518%16 Aug →
dust24–13-0.0141%16 Aug →
nuke5–13-0.0231%16 Aug →
dust213–40.0819%16 Aug →
cache16–130.0423%15 Aug →
inferno13–10.0021%15 Aug →
mirage11–13-0.0215%15 Aug →
anubis13–60.049%15 Aug →
ancient13–40.0629%15 Aug →
nuke7–9-0.049%15 Aug →
mirage13–70.0613%15 Aug →
anubis13–40.0616%15 Aug →
ancient13–10-0.0426%13 Aug →
mirage3–13-0.0321%12 Aug →
mirage13–40.0715%12 Aug →
mirage15–15-0.0115%11 Aug →
cache13–100.0530%9 Aug →
mirage5–13-0.029%9 Aug →
inferno13–40.0314%9 Aug →
dust20–13-0.0513%9 Aug →
inferno3–130.0118%4 Aug →
mirage11–13-0.0314%4 Aug →
inferno13–40.1624%4 Aug →
anubis12–160.0114%4 Aug →
ancient13–60.0239%4 Aug →
nuke13–100.0330%3 Aug →
cache9–130.0017%3 Aug →
dust29–130.1633%3 Aug →
nuke13–40.0644%3 Aug →
mirage7–130.0718%2 Aug →
cache4–13-0.0912%2 Aug →
mirage13–20.0917%2 Aug →
dust210–130.0223%2 Aug →

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 →

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