Lum1n4t3

Lum1n4t3 — CS2 Stats

CD76561198273480270[U:1:313214542]Steam profile ↗1 game ban

190Tracked matches41%Win rate2022Tracked since
1,673Hours in CS36Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating6,986Light Blue band · top ~69.3% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 23 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 6,986 -2,024 23 Dec19 Sept · 27 days played
4,63710,833peak 10,83323 Dec19 Sept
11,092Peak Premier in tracked matches
829Highest Faceit ELO seen on CSDB
46Days played since 2025-12-23

Faceit ELO

  • At peak — 829
  • Next: Level 4 at 901 72 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 3,847 below peak (10,833)
  • +1,723 over 30 days · improving
  • +1,886 over 90 days
  • Next: Blue band at 10,000 3,014 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 Light Blue band among CSDB-tracked players (n=8,337), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.2%39.9%41.9%above
Shot accuracy16.7%6.9%9.6%above
Kill/death ratio1.260.920.98above
Match win rate73.7%42.3%43.8%above

Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGLum1n4t3PREMIER6,986 · Light Blue bandPEAK ELO829csdb.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

Aim57
Positioning49
Utility15

0–100 skill scores via Leetify.

Recent form

COLD39556Last 10039%Win rateLLLLLWLLTT

Last 10 vs previous 10: −60pp win rate · −0.02 avg rating · −2.7pp headshot accuracy · −44ms reaction

Win rate down 60pp 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

  • 05 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 644ms

Last 10

  • 172 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 645ms

Last 20

  • 893 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 667ms

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 PlayerPositioning stands above the rest of this profile (+2.9 against its own average).

Aim5.7
Utility1.5
Positioning4.9
Opening Duels1.5
Clutch0.0

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 84% playstyle similarity

Most alike: positioning profile, aim 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

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 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim5.7
Positioning4.9
Utility1.5
Mechanics7.4
Opening Duels2.1
Win Impact1.9

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time652ms−63ms
first ⅓ avg 714ms → last ⅓ avg 652ms
Headshot accuracy22.8%+7.7%
first ⅓ avg 15.1% → last ⅓ avg 22.8%

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

0.20Best match rating · 13–1 · cache, 6 May
44%Best headshot accuracy · 8–13 · dust2, 30 Jul
422msFastest reaction time · 8–13 · mirage, 22 Jan
13–1Biggest win · anubis, 13 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
84In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD2051525%-0.04
nukeB189950%0.00
mirageC145936%-0.02
ancientD124833%-0.01
dust2C125742%-0.01
cacheD72529%-0.00
anubisA74357%-0.01
overpassA74357%-0.02
vertigo31233%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,998Lifetime kills
1.26K/D · Top 10% of Light Blue band
4,017Matches
73.7%Match win rate · Top 1% of Light Blue band
44.2%Headshot % · Top 50% of Light Blue band
16.7%Shot accuracy · Top 10% of Light Blue band
7,547MVPs
616Hours (in match)
2,174Bombs planted
362Bombs defused

Most-used weapons

AK-4711,783
AWP3,885
P90696
Knife654

Lifetime map wins

3,543dust2
2,040inferno
1,011nuke
269train
165cbble
152office
139vertigo
119italy

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

Faceit stats

Combat

2Matches
0%Win rate
0.80Avg K/D
76.2ADR
27%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

21.2%Headshot accuracy
30.5%Accuracy (enemy spotted)
28.7%Spray accuracy
83.1%Counter-strafing
10.4°Preaim
637msReaction time
28.6%T opening success
46.7%CT opening success
0.24Enemies flashed / flash
1.2%Flash assists
8.09HE damage / grenade
1.48Flashes / 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 0.236 — 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 28.641% — 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.

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0029%19 Sept
cache6–13-0.0534%19 Sept
inferno10–13-0.0513%18 Sept
mirage2–13-0.0821%18 Sept
mirage8–13-0.0416%17 Sept
ancient13–8-0.0010%17 Sept
inferno9–13-0.0413%15 Sept
inferno5–13-0.0221%14 Sept
ancient15–150.0620%14 Sept
nuke15–15-0.0518%14 Sept
nuke13–40.0136%13 Sept
anubis13–10.0720%13 Sept
inferno5–13-0.0716%13 Sept
vertigo2–7-0.0138%12 Sept
inferno13–11-0.0321%12 Sept
inferno13–110.0013%12 Sept
anubis13–70.0118%12 Sept
ancient13–50.0127%11 Sept
anubis13–8-0.0524%10 Sept
mirage15–15-0.0111%6 Sept
dust28–130.0213%6 Sept
vertigo13–7-0.0118%5 Sept
nuke13–50.0423%30 Aug
dust29–13-0.0229%24 Aug
mirage5–13-0.0323%24 Aug
nuke13–90.0920%18 Aug
ancient11–130.0623%17 Aug
dust28–13-0.0844%30 Jul
cache7–13-0.0622%28 Jul
inferno6–13-0.0627%28 Jul
anubis9–13-0.0624%14 Jul
mirage13–9-0.0240%27 Jun
anubis13–70.0329%27 Jun
dust26–13-0.0516%27 Jun
nuke13–100.0816%26 Jun
nuke13–11-0.0323%1 Jun
nuke15–15-0.0213%31 May
anubis7–130.0022%31 May
overpass7–130.0212%31 May
inferno10–13-0.0319%30 May
dust29–130.0122%30 May
overpass11–8-0.0523%30 May
inferno13–10-0.0328%30 May
ancient6–13-0.0314%26 May
anubis4–13-0.0521%23 May
dust213–6-0.028%23 May
nuke10–13-0.0119%23 May
cache7–13-0.0316%14 May
cache6–13-0.1111%14 May
cache12–120.0110%6 May
cache13–10.2013%6 May
cache13–100.0214%6 May
ancient4–13-0.0713%26 Apr
overpass2–13-0.085%18 Apr
mirage4–130.0118%18 Apr
nuke6–130.0425%18 Apr
nuke13–40.069%20 Feb
inferno11–130.0322%20 Feb
mirage13–100.0517%20 Feb
nuke13–20.0710%20 Feb
vertigo11–13-0.0618%17 Feb
nuke6–130.0127%14 Feb
nuke3–13-0.0911%7 Feb
ancient6–13-0.0020%3 Feb
ancient15–15-0.039%2 Feb
mirage8–13-0.0822%22 Jan
inferno10–13-0.0420%12 Jan
overpass13–7-0.0118%1 Jan
nuke13–11-0.0612%30 Dec
ancient16–14-0.0321%30 Dec
inferno8–13-0.0622%30 Dec
mirage13–60.008%30 Dec
dust28–13-0.0412%30 Dec
inferno13–70.0418%29 Dec
inferno10–13-0.0114%29 Dec
nuke13–110.0113%29 Dec
inferno7–13-0.0517%28 Dec
mirage2–13-0.0227%28 Dec
overpass13–7-0.029%28 Dec
ancient2–13-0.084%28 Dec
dust22–13-0.0317%28 Dec
inferno6–13-0.0220%27 Dec
inferno7–13-0.0414%26 Dec
overpass13–100.0118%26 Dec
dust213–30.0222%26 Dec
ancient16–140.0711%26 Dec
dust213–10.1414%25 Dec
mirage5–13-0.0721%25 Dec
mirage13–9-0.0021%25 Dec
inferno13–10-0.0921%25 Dec
mirage13–40.0412%25 Dec
ancient6–13-0.087%24 Dec
mirage4–13-0.033%24 Dec
dust213–110.0120%24 Dec
nuke3–13-0.0928%24 Dec
nuke3–13-0.0114%23 Dec
nuke7–90.0317%23 Dec
inferno0–9-0.2310%23 Dec
overpass10–13-0.0011%23 Dec
dust213–10-0.004%23 Dec

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 →