Lakbello

Lakbello — CS2 Stats

DE76561198047322923[U:1:87057195]Steam profile ↗VAC banned

750Tracked matches50%Win rate2022Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (3 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: 14,999 -1,018 1 May – 3 Oct · 30 days played
14,99918,115peak 18,1151 May3 Oct
18,115Peak Premier in tracked matches
53Days played since 2026-01-22

Premier CS Rating

  • 3,116 below peak (18,115)
  • -686 over 30 days · declining
  • -2,492 over 90 days
  • Next: Purple band at 15,000 — 1 to go
  • Reached: 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.GGLakbelloFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,999 · Blue bandcsdb.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

Aim63
Positioning48
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWWLLLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.2pp headshot accuracy · +1ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 583ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 596ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 596ms

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 (+1.9 against its own average).

Aim6.3
Utility6.1
Positioning4.8
Opening Duels2.0
Clutch4.0

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 612ms 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

Aim6.3
Positioning4.8
Utility6.1
Mechanics7.8
Opening Duels1.5
Win Impact5.0

Composite 5.3/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time607ms−15ms
first ⅓ avg 622ms → last ⅓ avg 607ms
Headshot accuracy10.7%−3.3%
first ⅓ avg 13.9% → last ⅓ avg 10.7%

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 · 13–0 · overpass, 8 Feb →
32%Best headshot accuracy · 4–9 · poseidon, 8 May →
406msFastest reaction time · 13–7 · inferno, 3 Oct →
13–0Biggest win · overpass, 8 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 64% over 25dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2516–964%0.01
nukeA1911–858%0.02
anubisD124–833%-0.01
infernoB105–550%-0.01
cacheB105–550%0.03
dust2D92–722%-0.04
mirageB84–450%-0.02
overpassC52–340%0.04
train—11–0100%0.04
poseidon—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

134Matches
45%Win rate
0.99Avg K/D
86.6ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1155%1.1816.4
Mirage838%0.6310.4
Inferno862%0.8713.9
Vertigo580%1.4014.8
Overpass450%0.8012.3
Nuke3100%1.4619.7
Anubis333%1.0614.7
Dust22100%0.8815.0

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.

10.8%Headshot accuracy
37.9%Accuracy (enemy spotted)
38.0%Spray accuracy
84.9%Counter-strafing
11.2°Preaim
612msReaction time
27.8%T opening success
42.1%CT opening success
0.57Enemies flashed / flash
6.2%Flash assists
6.98HE damage / grenade
12.76Flashes / 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 10.8074% — 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 27.7593% — below the 40% mark we flag

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0011%3 Oct →
inferno13–70.0110%3 Oct →
anubis8–13-0.0414%10 Sept →
anubis8–13-0.066%5 Sept →
cache11–130.0520%1 Sept →
nuke7–13-0.0410%31 Aug →
ancient11–130.028%29 Aug →
nuke13–50.069%19 Aug →
ancient13–50.056%19 Aug →
mirage4–13-0.0824%15 Aug →
cache16–13-0.0211%15 Aug →
inferno10–13-0.054%31 Jul →
cache13–80.047%31 Jul →
inferno13–30.0214%31 Jul →
ancient13–40.0110%31 Jul →
mirage11–13-0.0315%30 Jul →
cache8–13-0.0219%30 Jul →
nuke7–13-0.058%30 Jul →
nuke13–40.059%22 Jul →
ancient13–10-0.018%22 Jul →
dust210–13-0.085%19 Jul →
inferno9–13-0.0211%19 Jul →
ancient13–5-0.007%19 Jul →
nuke5–130.0311%19 Jul →
cache6–70.1411%19 Jul →
nuke13–10-0.035%18 Jul →
nuke13–80.0411%18 Jul →
mirage13–10-0.0617%18 Jul →
ancient13–50.1013%17 Jul →
dust25–13-0.0313%17 Jul →
ancient10–130.0112%17 Jul →
anubis8–13-0.0210%17 Jul →
mirage5–130.016%17 Jul →
dust215–15-0.0213%17 Jul →
ancient8–13-0.067%16 Jul →
nuke15–150.019%11 Jul →
mirage13–11-0.0419%11 Jul →
mirage7–13-0.054%5 Jul →
nuke13–80.005%4 Jul →
ancient13–30.0510%4 Jul →
ancient13–80.027%2 Jul →
ancient13–10-0.0516%30 Jun →
ancient10–13-0.0215%27 Jun →
ancient2–11-0.013%27 Jun →
nuke10–130.059%22 Jun →
inferno13–7-0.0210%17 Jun →
nuke13–100.0113%16 Jun →
dust213–9-0.0121%15 Jun →
ancient3–13-0.0114%15 Jun →
inferno9–13-0.0111%14 Jun →
anubis5–130.0120%11 Jun →
inferno7–13-0.049%5 Jun →
dust213–7-0.029%4 Jun →
inferno11–130.0218%4 Jun →
overpass13–80.0413%3 Jun →
inferno13–40.0312%3 Jun →
cache9–13-0.0413%31 May →
nuke13–11-0.039%23 May →
ancient13–40.1321%21 May →
anubis16–140.007%21 May →
nuke5–130.0211%21 May →
ancient13–60.1015%14 May →
dust26–13-0.0316%14 May →
overpass8–130.0111%13 May →
anubis6–13-0.1118%12 May →
nuke13–50.0620%9 May →
inferno13–11-0.018%9 May →
train13–30.0413%8 May →
poseidon4–9-0.0532%8 May →
cache10–4-0.0013%8 May →
cache8–130.0213%7 May →
mirage13–90.0611%7 May →
nuke13–30.0712%7 May →
cache13–30.1415%7 May →
ancient13–30.049%2 May →
cache13–9-0.0118%2 May →
dust23–13-0.0118%2 May →
ancient16–120.0916%1 May →
nuke13–60.0210%1 May →
ancient8–13-0.058%1 May →
anubis7–130.0013%1 May →
overpass11–130.0317%29 Apr →
nuke13–110.1017%29 Apr →
ancient13–10-0.0312%29 Apr →
ancient13–1-0.0321%12 Apr →
anubis13–50.069%12 Apr →
ancient10–13-0.0016%6 Apr →
dust210–13-0.0822%6 Apr →
ancient13–110.0217%6 Apr →
dust27–13-0.0524%2 Apr →
nuke9–13-0.0117%1 Apr →
nuke2–13-0.0610%28 Mar →
anubis13–50.0214%26 Feb →
ancient4–13-0.085%26 Feb →
ancient13–9-0.087%22 Feb →
anubis11–13-0.048%22 Feb →
overpass7–13-0.0715%15 Feb →
overpass13–00.163%8 Feb →
anubis13–60.0713%7 Feb →
anubis4–13-0.0614%22 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.