Lano

Lano — CS2 Stats

76561198806352474[U:1:846086746]Steam profile ↗✓ No bans

1,328Tracked matches26%Win rate2021Tracked since
1,300Hours in CS
CSDB Rating4.4 DevelopingPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,150 → 1,150
+19Tracked matches · now 1,328
−10.7ppWin rate · 36.7% → 25.9%

Rating over time

Premier CS Rating: 23,079 +185 26 Apr – 7 Jun · 18 days played
22,31024,690peak 24,69026 Apr7 Jun
Faceit ELO: 1,150 +0 1 Sept – 8 Sept · 2 observations
1,1501,150peak 1,1501 Sept8 Sept
24,897Peak Premier in tracked matches
1,150Highest Faceit ELO seen on CSDB
40Days played since 2026-04-26

Faceit ELO

  • At peak — 1,150
  • Next: Level 6 at 1,201 — 51 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

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.

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CSDB.GGLanoPEAK ELO1,150csdb.gg/stats

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Performance scores

Aim76
Positioning40
Utility33

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLTLWLLWTL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −8.1pp headshot accuracy · −84ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 506ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 539ms

Last 20

  • 4–13–3 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 581ms

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 (+0.9 against its own average).

Aim7.6
Utility3.3
Positioning4.0
Opening Duels3.0
Clutch2.0

Limited 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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 594ms 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

Aim7.6
Positioning4.0
Utility3.3
Mechanics7.1
Opening Duels2.5
Win Impact0.0

Composite 4.4/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time608ms+46ms
first ⅓ avg 562ms → last ⅓ avg 608ms
Headshot accuracy24.4%+3.0%
first ⅓ avg 21.5% → last ⅓ avg 24.4%

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

0.09Best match rating · 1–7 · office, 5 Oct →
50%Best headshot accuracy · 1–7 · office, 5 Oct →
359msFastest reaction time · 10–13 · ancient, 11 Oct →
13–1Biggest win · cache, 27 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 50% over 10ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheC3013–1743%-0.04
dust2D196–1332%-0.04
ancientD103–730%-0.01
nukeB105–550%-0.05
mirageC94–544%-0.03
anubisC52–340%-0.03
inferno—42–250%-0.05
overpass—43–175%-0.02
fachwerk—30–30%-0.03
vertigo—31–233%-0.03
office—10–10%0.09
alpine—10–10%-0.06
train—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,481Lifetime kills
1.03K/D · Top 50% of tracked players
3,113Matches
44.1%Match win rate
55.0%Headshot % · Top 10% of tracked players
10.5%Shot accuracy
7,137MVPs
1,300Hours (in match)
2,078Bombs planted
655Bombs defused

Most-used weapons

Lifetime map wins

5,938dust2
3,408inferno
1,103nuke
794vertigo
531train
507cbble
166office
46italy

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

Faceit stats

Combat

78Matches
59%Win rate
1.14Avg K/D
76.4ADR
44%Headshot %

Clutches & streaks

30%1v1 clutch win
9%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.8513.0
Overpass757%1.1316.4
Dust2757%0.9620.6
Ancient771%1.2215.9
Inferno580%1.3919.8
Nuke560%1.1616.6
Vertigo367%2.0614.7
Anubis10%0.9018.0

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.

23.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.6%Spray accuracy
81.9%Counter-strafing
8.3°Preaim
594msReaction time
35.1%T opening success
44.8%CT opening success
0.46Enemies flashed / flash
3.2%Flash assists
5.32HE damage / grenade
3.42Flashes / 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 0.4646 — 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 35.077% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0219%17 Oct →
mirage7–13-0.0512%17 Oct →
dust212–120.0131%12 Oct →
cache5–13-0.0326%12 Oct →
inferno13–10-0.037%11 Oct →
ancient10–13-0.0213%11 Oct →
ancient11–13-0.0015%11 Oct →
dust213–9-0.0220%11 Oct →
cache12–12-0.0717%11 Oct →
fachwerk5–130.0541%5 Oct →
nuke3–13-0.075%5 Oct →
office1–70.0950%5 Oct →
fachwerk10–13-0.0731%4 Oct →
fachwerk3–13-0.0821%4 Oct →
dust21–13-0.1022%4 Oct →
dust212–12-0.0721%4 Oct →
mirage13–30.0150%4 Oct →
dust28–13-0.0831%3 Oct →
cache13–110.0525%9 Sept →
dust29–13-0.0725%6 Aug →
mirage1–13-0.0627%2 Aug →
cache4–13-0.0818%27 Jun →
inferno6–13-0.097%27 Jun →
cache13–110.0131%27 Jun →
dust26–13-0.0541%18 Jun →
cache10–1-0.0140%7 Jun →
ancient4–13-0.0920%7 Jun →
dust213–50.0116%7 Jun →
cache8–13-0.0622%6 Jun →
dust27–130.0123%5 Jun →
cache3–13-0.1028%5 Jun →
anubis4–13-0.1026%2 Jun →
alpine9–13-0.0625%2 Jun →
cache5–13-0.0333%2 Jun →
cache13–6-0.0013%1 Jun →
mirage13–11-0.0628%31 May →
inferno13–2-0.0424%31 May →
anubis7–13-0.0136%31 May →
dust212–160.0222%30 May →
ancient4–130.0226%30 May →
inferno3–13-0.0324%30 May →
ancient13–20.0842%30 May →
nuke7–130.0228%30 May →
vertigo10–13-0.0436%29 May →
cache6–13-0.0718%28 May →
vertigo13–40.0626%27 May →
dust213–11-0.0621%27 May →
nuke13–9-0.0611%27 May →
cache13–10.0425%27 May →
nuke13–7-0.0310%25 May →
dust29–13-0.0524%24 May →
mirage5–13-0.0422%24 May →
overpass13–11-0.0812%24 May →
nuke13–11-0.069%24 May →
anubis16–14-0.0214%24 May →
overpass11–130.0115%22 May →
dust213–8-0.0929%20 May →
anubis13–10-0.0326%20 May →
overpass13–5-0.0315%19 May →
dust22–13-0.0815%14 May →
nuke1–13-0.0814%14 May →
dust213–10-0.0125%13 May →
nuke11–13-0.0622%13 May →
cache10–13-0.108%13 May →
ancient14–16-0.0220%13 May →
mirage13–20.0226%13 May →
cache11–13-0.0120%12 May →
cache13–4-0.0310%12 May →
ancient6–13-0.0429%12 May →
cache13–9-0.0023%10 May →
overpass13–40.0337%10 May →
train12–120.0219%10 May →
nuke13–9-0.0518%10 May →
vertigo0–13-0.1114%10 May →
dust25–13-0.1013%10 May →
cache5–13-0.0232%10 May →
cache5–13-0.0524%9 May →
mirage9–13-0.0210%9 May →
dust212–16-0.0124%8 May →
ancient2–130.018%8 May →
cache4–13-0.0723%8 May →
nuke4–13-0.076%8 May →
cache10–130.0127%7 May →
cache13–11-0.0636%7 May →
cache13–7-0.0421%7 May →
cache12–12-0.066%6 May →
mirage13–9-0.0311%6 May →
dust211–13-0.059%6 May →
cache13–11-0.0720%2 May →
cache5–13-0.0839%2 May →
ancient16–13-0.0636%1 May →
ancient16–120.0112%1 May →
cache2–13-0.115%30 Apr →
cache9–13-0.0917%29 Apr →
cache13–60.0350%29 Apr →
cache13–6-0.0723%29 Apr →
cache13–100.0019%29 Apr →
mirage11–13-0.0426%27 Apr →
dust216–14-0.0321%26 Apr →
nuke13–7-0.0541%26 Apr →

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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