LVeludo

LVeludo — CS2 Stats

LA76561198043709566[U:1:83443838]Steam profile ↗✓ No bans

1,309Tracked matches37%Win rate2022Tracked since
CSDB Rating4.0 DevelopingPositional Player
FaceitLevel 5 · 1,027 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,027 → 1,027
+26Tracked matches · now 1,309
0.0ppWin rate · 36.7% → 36.7%

Rating over time

Premier CS Rating: 12,550 +406 9 Dec – 27 Jun · 10 days played
12,03613,129peak 13,1299 Dec27 Jun
Faceit ELO: 1,027 +0 30 Aug – 3 Nov · 4 observations
1,0271,027peak 1,02730 Aug3 Nov
13,129Peak Premier in tracked matches
1,027Highest Faceit ELO seen on CSDB
86Days played since 2025-11-21

Faceit ELO

  • At peak — 1,027
  • Next: Level 5 at 1,051 — 24 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-30
  • Level 3 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGLVeludoFACEITLevel 5 · 1,027 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,027csdb.gg/stats

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Performance scores

Aim66
Positioning48
Utility42

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLWLLLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · +11ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 593ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

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 (+1.5 against its own average).

Aim6.6
Utility4.2
Positioning4.8
Opening Duels1.9
Clutch2.4

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.6
Positioning4.8
Utility4.2
Mechanics4.3
Opening Duels2.2
Win Impact0.6

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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time592ms−36ms
first ⅓ avg 628ms → last ⅓ avg 592ms
Headshot accuracy13.8%−1.9%
first ⅓ avg 15.8% → last ⅓ avg 13.8%

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

0.18Best match rating · 3–0 · dust2, 12 Nov →
40%Best headshot accuracy · 3–0 · dust2, 12 Nov →
391msFastest reaction time · 13–4 · anubis, 19 Jul →
13–3Biggest win · anubis, 11 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–18In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 57% over 7anubisWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.01
anubisC187–1139%-0.01
infernoA1810–856%-0.01
ancientC156–940%-0.00
nukeA74–357%-0.01
mirageC73–443%-0.01
cacheC52–340%-0.02
overpass—20–20%-0.01
vertigo—22–0100%-0.00
train—20–20%-0.03
rush_001—10–10%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

706Matches
50%Win rate
0.92Avg K/D
75.0ADR
42%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust223653%0.9113.5
Inferno14650%0.9415.0
Anubis10452%0.9515.6
Ancient7544%0.9916.2
Nuke4949%1.0016.1
Mirage3656%0.7112.3
Cache2040%0.8113.4
Overpass1638%0.8614.5

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.

13.1%Headshot accuracy
39.9%Accuracy (enemy spotted)
45.6%Spray accuracy
69.2%Counter-strafing
11.0°Preaim
594msReaction time
37.8%T opening success
39.4%CT opening success
0.52Enemies flashed / flash
4.2%Flash assists
6.51HE damage / grenade
6.44Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.1467% — below the 15% mark we flag

    Aim Training →
  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 37.7914% — below the 40% mark we flag

Spend your practice time on Anubis

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0117%12 Nov →
dust23–00.1840%12 Nov →
ancient10–130.0513%9 Nov →
rush_0017–80.0914%4 Nov →
cache8–13-0.092%1 Nov →
cache11–13-0.0214%25 Oct →
nuke7–13-0.0311%18 Oct →
ancient13–4-0.0711%17 Oct →
nuke13–8-0.0212%9 Oct →
anubis11–13-0.045%4 Oct →
dust24–13-0.0719%4 Oct →
nuke13–40.0420%23 Sept →
inferno6–130.005%21 Sept →
mirage9–13-0.0216%18 Sept →
anubis4–13-0.044%18 Sept →
ancient11–13-0.0113%16 Sept →
anubis13–50.0616%14 Sept →
inferno4–13-0.1013%13 Sept →
dust213–80.0115%12 Sept →
cache16–130.0012%31 Aug →
ancient13–110.0212%24 Aug →
anubis11–13-0.0512%18 Aug →
anubis13–7-0.0317%12 Aug →
ancient11–13-0.019%10 Aug →
inferno13–50.0718%1 Aug →
dust217–19-0.0515%1 Aug →
inferno12–16-0.0612%25 Jul →
ancient5–130.0516%22 Jul →
ancient5–13-0.0015%21 Jul →
anubis13–4-0.0116%19 Jul →
cache13–16-0.0217%19 Jul →
dust214–16-0.0112%18 Jul →
mirage14–160.0213%12 Jul →
dust213–40.0513%12 Jul →
inferno13–11-0.0615%7 Jul →
anubis11–13-0.0410%4 Jul →
nuke13–7-0.0227%27 Jun →
mirage8–13-0.0313%25 Jun →
dust213–80.0231%16 Jun →
ancient13–80.0314%15 Jun →
ancient9–13-0.0114%14 Jun →
anubis6–13-0.0421%11 Jun →
anubis13–110.0321%6 Jun →
inferno13–7-0.0220%15 May →
inferno16–140.0634%11 May →
anubis13–30.048%11 May →
anubis13–90.0015%7 May →
overpass14–160.008%4 May →
cache13–80.046%3 May →
inferno19–170.0519%22 Apr →
dust213–4-0.0011%19 Apr →
ancient7–13-0.0119%16 Apr →
vertigo13–8-0.0013%11 Apr →
vertigo13–3-0.017%10 Apr →
mirage13–80.0321%3 Apr →
inferno4–13-0.0525%28 Mar →
dust25–13-0.0731%28 Mar →
inferno13–30.0618%22 Mar →
dust214–16-0.0111%21 Mar →
mirage9–13-0.0225%17 Mar →
ancient9–13-0.0414%12 Mar →
inferno6–13-0.069%11 Mar →
inferno13–70.0815%8 Mar →
anubis4–13-0.0815%8 Mar →
mirage13–9-0.0320%7 Mar →
inferno13–9-0.0116%4 Mar →
ancient13–9-0.0416%2 Mar →
dust22–5-0.0314%28 Feb →
mirage13–5-0.0115%16 Feb →
ancient13–7-0.012%14 Feb →
anubis15–19-0.0518%12 Feb →
dust219–15-0.0011%10 Feb →
dust213–40.0520%8 Feb →
anubis13–100.0014%21 Jan →
dust213–60.1513%18 Jan →
anubis14–16-0.0216%17 Jan →
inferno10–13-0.0118%17 Jan →
dust213–3-0.0115%14 Jan →
train1–8-0.0225%13 Jan →
dust28–13-0.0418%13 Jan →
nuke7–13-0.0611%6 Jan →
dust213–11-0.0213%5 Jan →
inferno13–100.0011%29 Dec →
inferno10–13-0.0618%28 Dec →
train11–13-0.0411%22 Dec →
nuke11–13-0.0316%20 Dec →
nuke16–140.0225%18 Dec →
dust22–13-0.0311%16 Dec →
anubis11–130.0718%16 Dec →
dust213–4-0.0021%15 Dec →
dust210–13-0.0117%15 Dec →
overpass9–13-0.0316%13 Dec →
inferno8–130.0326%13 Dec →
dust28–13-0.0319%12 Dec →
inferno13–11-0.059%9 Dec →
ancient13–110.0213%7 Dec →
dust212–120.0121%4 Dec →
ancient14–160.0114%23 Nov →
anubis2–7-0.0211%22 Nov →
dust213–30.1620%21 Nov →

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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