Luntis720!

Luntis720! — CS2 Stats

76561198108967405[U:1:148701677]Steam profile ↗✓ No bans

141Tracked matches38%Win rate2021Tracked since
347Hours in CS
CSDB Rating3.6 LearningPositional Player
Premier CS Rating10,192Blue band · top ~53.9% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Jun 2026 (165 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: 10,192 +1,220 26 Apr – 3 Jun · 17 days played
8,97212,149peak 12,14926 Apr3 Jun
12,301Peak Premier in tracked matches
57Days played since 2025-11-14

Premier CS Rating

  • 1,957 below peak (12,149)
  • -652 over 30 days · declining
  • Next: Purple band at 15,000 — 4,808 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.9%42.0%44.4%meets
Shot accuracy13.2%9.6%11.9%above
Kill/death ratio0.910.981.030.12 short
Match win rate36.2%43.8%45.2%9.0% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLuntis720!PREMIER10,192 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning42
Utility21

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLLLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −7.0pp headshot accuracy · +83ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 761ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 731ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 689ms

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 (+2.1 against its own average).

Aim5.0
Utility2.1
Positioning4.2
Opening Duels0.1

Strong CT-side openerLimited 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

iM

Plays most like iM 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim 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

T-side openings. Opening success drops from 39% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 686ms 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

Aim5.0
Positioning4.2
Utility2.1
Mechanics6.0
Opening Duels1.1
Win Impact1.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time695ms+42ms
first ⅓ avg 653ms → last ⅓ avg 695ms
Headshot accuracy23.3%−2.8%
first ⅓ avg 26.0% → last ⅓ avg 23.3%

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

0.13Best match rating · 9–7 · inferno, 30 Apr →
55%Best headshot accuracy · 1–5 · mirage, 28 Apr →
422msFastest reaction time · 7–9 · inferno, 20 Apr →
13–0Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L6Current streak
9–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 60% over 5ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%0.00
cacheC145–936%-0.00
nukeC146–843%-0.01
infernoB137–654%0.01
dust2A127–558%-0.01
ancientD82–625%-0.01
vertigoD62–433%0.00
overpassA53–260%-0.01
anubis—42–250%-0.00
poseidon—31–233%-0.00
train—21–150%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,340Lifetime kills
0.91K/D
1,624Matches
36.2%Match win rate
43.9%Headshot % · Top 50% of Blue band
13.2%Shot accuracy · Top 50% of Blue band
3,612MVPs
347Hours (in match)
1,026Bombs planted
252Bombs defused

Most-used weapons

Lifetime map wins

2,488lake
685dust2
624inferno
548vertigo
437nuke
203train
130cbble
110safehouse

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

Skill profile

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

21.4%Headshot accuracy
29.1%Accuracy (enemy spotted)
28.3%Spray accuracy
77.1%Counter-strafing
9.2°Preaim
686msReaction time
16.2%T opening success
39.2%CT opening success
0.24Enemies flashed / flash
6.8%Flash assists
10.83HE damage / grenade
1.66Flashes / 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 0.244 — 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 16.2061% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0316%5 Jun →
cache6–13-0.0419%5 Jun →
inferno8–130.0524%3 Jun →
ancient1–130.0427%3 Jun →
dust28–13-0.0420%31 May →
mirage10–13-0.0313%31 May →
dust213–11-0.0810%27 May →
cache13–10.0133%26 May →
ancient13–7-0.0218%26 May →
cache7–13-0.066%21 May →
inferno9–20.0229%20 May →
anubis3–13-0.1011%16 May →
anubis15–150.0124%15 May →
nuke10–13-0.0732%12 May →
cache10–13-0.0428%12 May →
inferno10–13-0.0215%10 May →
cache4–00.1150%10 May →
cache3–13-0.0725%10 May →
cache9–13-0.0213%10 May →
dust24–13-0.0729%7 May →
mirage13–10-0.0615%7 May →
cache11–13-0.0018%7 May →
ancient10–13-0.0226%6 May →
nuke13–4-0.0130%6 May →
vertigo8–1-0.0425%6 May →
overpass13–10.0221%5 May →
mirage13–110.0321%5 May →
dust211–130.0430%4 May →
mirage13–40.0314%4 May →
inferno7–9-0.0830%4 May →
inferno9–10.1050%4 May →
mirage6–130.0125%4 May →
nuke5–9-0.0622%4 May →
cache13–00.0943%3 May →
poseidon9–50.0717%3 May →
nuke13–70.0916%3 May →
nuke16–140.0021%3 May →
mirage13–60.0840%3 May →
cache13–80.0131%3 May →
mirage9–13-0.0215%1 May →
cache13–70.0117%1 May →
inferno9–70.1314%30 Apr →
dust213–7-0.0125%29 Apr →
cache8–13-0.0510%29 Apr →
cache6–13-0.0233%29 Apr →
cache11–130.0127%28 Apr →
nuke9–20.064%28 Apr →
inferno13–70.0117%28 Apr →
dust213–110.0219%28 Apr →
mirage1–50.0655%28 Apr →
nuke8–13-0.0223%26 Apr →
overpass13–11-0.0234%26 Apr →
mirage13–80.0712%26 Apr →
poseidon4–9-0.0315%26 Apr →
mirage13–10-0.064%25 Apr →
nuke11–13-0.0126%23 Apr →
dust213–10-0.0520%23 Apr →
inferno7–9-0.1011%20 Apr →
vertigo3–9-0.0728%20 Apr →
inferno13–3-0.0321%12 Apr →
overpass5–12-0.0725%7 Apr →
nuke9–13-0.0741%2 Apr →
ancient11–13-0.0622%2 Apr →
poseidon6–9-0.0511%30 Mar →
mirage3–130.0329%2 Feb →
anubis13–110.0523%29 Jan →
mirage13–11-0.0135%28 Jan →
ancient8–13-0.0243%27 Jan →
dust213–20.1326%26 Jan →
inferno13–40.0919%26 Jan →
mirage13–100.0518%23 Jan →
mirage2–13-0.0617%23 Jan →
dust213–60.0317%23 Jan →
nuke13–40.0114%20 Jan →
mirage3–130.0124%18 Jan →
inferno11–13-0.0323%18 Jan →
mirage10–13-0.0427%8 Jan →
nuke13–5-0.0330%7 Jan →
mirage6–13-0.0417%6 Jan →
dust210–13-0.0635%5 Jan →
inferno13–6-0.0344%5 Jan →
mirage13–10.0028%2 Jan →
vertigo12–120.1123%1 Jan →
anubis13–80.0423%21 Dec →
train4–130.0127%21 Dec →
nuke9–13-0.0317%8 Dec →
dust27–13-0.0129%6 Dec →
vertigo13–80.0439%3 Dec →
train13–100.0319%1 Dec →
ancient13–70.0831%30 Nov →
vertigo12–120.0233%28 Nov →
nuke5–13-0.0630%28 Nov →
vertigo3–13-0.0432%25 Nov →
ancient4–13-0.0438%24 Nov →
overpass8–130.0020%19 Nov →
inferno9–13-0.0425%18 Nov →
dust213–11-0.0516%17 Nov →
ancient7–13-0.0232%16 Nov →
nuke7–13-0.0120%15 Nov →
overpass13–5-0.0024%14 Nov →

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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