Luc1d

Luc1d — CS2 Stats

76561198165843641[U:1:205577913]Steam profile ↗✓ No bans

2,934Tracked matches33%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
FaceitLevel 10 · 2,454 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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CSDB.GGLuc1dFACEITLevel 10 · 2,454 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning43
Utility51

0–100 skill scores via Leetify.

Recent form

COLD51–49Last 10051%Win rateWLLLLWLWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · −44ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 436ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 491ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 513ms

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 (+1.7 against its own average).

Aim8.0
Utility5.1
Positioning4.3
Opening Duels0.4
Clutch3.8

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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.

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

Aim8.0
Positioning4.3
Utility5.1
Mechanics7.2
Opening Duels0.0
Win Impact0.0

Composite 5.1/10 (Developing), 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-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time513ms−10ms
first ⅓ avg 523ms → last ⅓ avg 513ms
Headshot accuracy18.4%+2.0%
first ⅓ avg 16.4% → last ⅓ avg 18.4%

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 · 13–9 · inferno, 12 Jun →
38%Best headshot accuracy · 4–13 · anubis, 10 Jun →
305msFastest reaction time · 2–13 · ancient, 31 Jul →
13–2Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–14In matches decided by ≤2 rounds
18Overtime games

Map breakdown

dust2Best map · 69% over 13ancientWeakest map · 41% over 34
MapGradePlayedRecordWin rateAvg rating
ancientC3414–2041%-0.00
infernoB157–847%0.01
dust2S139–469%-0.01
nukeB126–650%0.03
mirageA117–464%0.00
anubisA74–357%0.02
overpassA53–260%0.02
train—31–233%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 34). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,552Matches
51%Win rate
1.18Avg K/D
82.7ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient42150%1.2117.5
Mirage36847%1.1015.8
Anubis29654%1.2917.4
Dust222346%1.0416.0
Inferno20850%1.2116.8
Nuke15456%1.2018.1
Overpass6754%1.1917.1
Vertigo6055%1.1617.3

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.

18.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.3%Spray accuracy
82.4%Counter-strafing
10.2°Preaim
516msReaction time
23.7%T opening success
29.5%CT opening success
0.49Enemies flashed / flash
8.7%Flash assists
6.30HE damage / grenade
9.29Flashes / 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 0.4949 — 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 23.703% — 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.

41% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0419%10 Aug →
dust210–13-0.026%10 Aug →
ancient2–13-0.0911%31 Jul →
anubis13–160.0217%27 Jul →
ancient4–130.0516%27 Jul →
ancient13–10-0.0229%13 Jun →
ancient3–130.0426%13 Jun →
inferno13–90.1122%12 Jun →
ancient9–13-0.0324%11 Jun →
anubis4–13-0.0338%10 Jun →
nuke6–130.0719%10 Jun →
inferno17–19-0.017%8 Jun →
ancient13–110.0517%5 Mar →
ancient8–13-0.0424%16 Feb →
inferno3–130.0118%12 Feb →
nuke11–130.0918%10 Feb →
mirage11–130.0225%4 Feb →
inferno13–10-0.0115%31 Jan →
mirage11–13-0.0124%30 Jan →
ancient13–80.0116%24 Jan →
dust213–10-0.0520%24 Jan →
mirage13–6-0.087%24 Jan →
ancient15–190.0015%24 Jan →
dust213–80.0214%29 Dec →
nuke7–13-0.0417%22 Dec →
ancient11–130.0224%19 Dec →
inferno13–11-0.0622%3 Dec →
inferno5–13-0.0215%23 Nov →
ancient13–160.0113%16 Nov →
inferno8–13-0.0112%11 Nov →
ancient13–90.059%30 Oct →
nuke13–8-0.0415%24 Oct →
ancient4–13-0.0332%23 Oct →
ancient14–160.0120%17 Oct →
inferno16–130.0313%17 Oct →
ancient1–13-0.038%17 Oct →
overpass13–10-0.0014%4 Oct →
mirage13–70.0812%4 Oct →
ancient14–16-0.0416%3 Oct →
nuke11–130.0121%3 Oct →
nuke19–160.0126%1 Oct →
dust213–7-0.0419%23 Sept →
nuke10–130.0118%23 Sept →
mirage13–10-0.0120%19 Sept →
dust28–13-0.0329%19 Sept →
ancient2–13-0.1210%18 Sept →
ancient13–9-0.005%17 Sept →
ancient13–9-0.097%15 Sept →
dust219–15-0.0115%12 Sept →
ancient13–16-0.0712%12 Sept →
ancient13–20.0925%12 Sept →
nuke13–70.0115%11 Sept →
mirage13–7-0.0113%10 Sept →
overpass13–80.0411%10 Sept →
dust219–17-0.0210%9 Sept →
mirage9–13-0.0216%9 Sept →
nuke13–160.0414%8 Sept →
ancient11–130.0414%8 Sept →
ancient13–40.1010%8 Sept →
mirage13–70.0215%6 Sept →
ancient6–13-0.0113%5 Sept →
inferno6–13-0.0237%5 Sept →
mirage13–110.0325%3 Sept →
overpass9–13-0.0420%3 Sept →
ancient13–11-0.0516%27 Aug →
inferno13–16-0.0423%22 Aug →
ancient10–13-0.0011%18 Aug →
train8–13-0.0123%18 Aug →
ancient13–80.0224%18 Aug →
mirage13–60.0319%13 Aug →
overpass13–90.0215%13 Aug →
dust213–11-0.0320%12 Aug →
mirage8–13-0.0223%12 Aug →
inferno11–13-0.0115%31 Jul →
dust29–13-0.0019%31 Jul →
nuke19–160.0210%30 Jul →
ancient11–13-0.0216%28 Jul →
inferno13–100.0218%20 Jul →
inferno16–140.0322%18 Jul →
dust219–160.0213%16 Jul →
overpass8–130.0818%16 Jul →
ancient13–10-0.0217%15 Jul →
dust211–130.0319%14 Jul →
anubis16–130.0416%14 Jul →
train13–30.0412%14 Jul →
ancient13–60.0210%14 Jul →
nuke13–80.0512%13 Jul →
anubis13–70.0122%12 Jul →
anubis13–70.0321%5 Jul →
train11–130.0718%4 Jul →
inferno11–130.0715%4 Jul →
anubis16–120.0622%4 Jul →
ancient8–13-0.0114%3 Jul →
ancient13–90.0718%30 Jun →
nuke13–100.0911%30 Jun →
ancient13–80.0415%30 Jun →
dust213–70.0414%29 Jun →
ancient9–130.029%21 Jun →
inferno13–60.039%20 Jun →
anubis9–13-0.0211%17 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →