Lorenzo Lamas

Lorenzo Lamas — CS2 Stats

BF76561198094135192[U:1:133869464]Steam profile ↗✓ No bans

1,342Tracked matches41%Win rate2021Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating12,786Blue band · top ~40.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 12,786 -3,832 14 Aug – 12 Nov · 29 days played
12,78616,618peak 16,61814 Aug12 Nov
17,457Peak Premier in tracked matches
27Days played since 2026-08-14

Premier CS Rating

  • 3,832 below peak (16,618)
  • -568 over 30 days · declining
  • -3,832 over 90 days
  • Next: Purple band at 15,000 — 2,214 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGLorenzo LamasPREMIER12,786 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning52
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLLLWWWWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · −46ms 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 -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 549ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

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 (+2.6 against its own average).

Aim4.2
Utility6.0
Positioning5.2
Opening Duels2.6
Clutch0.0

Strong CT-side openerEffective flashes

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 65% 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. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.2
Positioning5.2
Utility6.0
Mechanics3.3
Opening Duels5.1
Win Impact2.1

Composite 4.2/10 (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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time565ms−31ms
first ⅓ avg 596ms → last ⅓ avg 565ms
Headshot accuracy14.7%+0.6%
first ⅓ avg 14.1% → last ⅓ avg 14.7%

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 · 1–4 · mirage, 15 Aug →
27%Best headshot accuracy · 7–13 · inferno, 26 Sept →
391msFastest reaction time · 4–13 · inferno, 14 Aug →
13–2Biggest win · office, 29 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
4–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 71% over 17dust2Weakest map · 38% over 29
MapGradePlayedRecordWin rateAvg rating
dust2C2911–1838%-0.02
anubisS1712–571%-0.00
infernoC166–1038%-0.01
mirageB105–550%0.02
cacheB105–550%-0.01
ancientC83–538%0.00
nukeC52–340%-0.03
office—21–150%0.03
train—21–150%0.00
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

85Matches
51%Win rate
0.97Avg K/D
73.3ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis250%0.6014.0
Mirage250%0.9514.5
Dust210%0.6210.0

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.

14.7%Headshot accuracy
26.4%Accuracy (enemy spotted)
31.8%Spray accuracy
64.8%Counter-strafing
8.8°Preaim
567msReaction time
48.9%T opening success
52.3%CT opening success
0.71Enemies flashed / flash
3.1%Flash assists
10.30HE damage / grenade
10.85Flashes / 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 14.7396% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 29 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
inferno9–130.0124%12 Nov →
dust26–13-0.0517%4 Nov →
dust210–13-0.0514%30 Oct →
ancient5–13-0.0317%30 Oct →
anubis13–60.0714%30 Oct →
nuke13–10-0.0418%30 Oct →
inferno13–80.0514%29 Oct →
mirage13–90.0420%29 Oct →
office13–20.054%29 Oct →
office10–130.0018%29 Oct →
mirage15–15-0.0814%29 Oct →
cache13–40.0915%29 Oct →
mirage9–13-0.069%29 Oct →
dust29–13-0.0810%29 Oct →
cache11–13-0.0110%29 Oct →
dust210–13-0.0016%29 Oct →
inferno10–130.0019%29 Oct →
dust213–50.0420%29 Oct →
dust213–10-0.0121%29 Oct →
cache13–100.0313%27 Oct →
dust213–6-0.0013%27 Oct →
dust25–13-0.0816%19 Oct →
cache10–13-0.0213%18 Oct →
inferno13–10-0.018%17 Oct →
ancient3–13-0.0625%17 Oct →
nuke13–16-0.018%15 Oct →
vertigo11–13-0.0422%15 Oct →
ancient12–160.0113%10 Oct →
inferno13–70.0113%10 Oct →
ancient8–130.0410%5 Oct →
ancient13–110.0510%1 Oct →
ancient13–9-0.0113%27 Sept →
anubis13–16-0.0117%27 Sept →
dust27–13-0.0822%27 Sept →
mirage6–13-0.0111%27 Sept →
anubis13–6-0.0211%27 Sept →
anubis8–13-0.0611%26 Sept →
inferno11–130.0311%26 Sept →
dust213–90.0220%26 Sept →
cache13–50.0422%26 Sept →
anubis13–6-0.0224%26 Sept →
inferno7–130.0127%26 Sept →
anubis13–9-0.0010%26 Sept →
dust25–13-0.0415%26 Sept →
dust28–13-0.0316%26 Sept →
mirage13–10-0.0019%26 Sept →
cache13–5-0.019%22 Sept →
dust25–130.0027%22 Sept →
cache3–13-0.1125%13 Sept →
inferno8–13-0.0321%13 Sept →
dust27–13-0.0723%13 Sept →
dust28–13-0.0522%12 Sept →
dust213–3-0.0514%12 Sept →
anubis13–9-0.0215%12 Sept →
nuke13–2-0.0422%12 Sept →
dust213–11-0.0014%12 Sept →
anubis13–90.0513%12 Sept →
cache13–8-0.0312%12 Sept →
anubis14–16-0.0416%12 Sept →
inferno7–13-0.0713%11 Sept →
dust213–110.0616%11 Sept →
mirage7–13-0.0314%10 Sept →
dust29–13-0.046%6 Sept →
dust213–9-0.0212%5 Sept →
inferno5–13-0.1022%5 Sept →
anubis13–30.1013%3 Sept →
dust210–130.0214%3 Sept →
mirage13–70.0419%3 Sept →
ancient8–13-0.0019%2 Sept →
dust211–13-0.0820%29 Aug →
mirage13–80.0422%29 Aug →
inferno13–9-0.0710%20 Aug →
inferno5–130.0421%20 Aug →
dust27–13-0.0118%15 Aug →
inferno6–13-0.0515%15 Aug →
nuke10–13-0.098%15 Aug →
anubis2–13-0.0715%15 Aug →
train13–9-0.0111%15 Aug →
cache7–13-0.0513%15 Aug →
train7–130.0117%15 Aug →
anubis13–5-0.0621%15 Aug →
nuke11–130.0117%15 Aug →
dust24–13-0.0418%15 Aug →
inferno13–100.0814%15 Aug →
anubis13–11-0.007%15 Aug →
anubis13–90.0111%15 Aug →
dust213–80.029%15 Aug →
dust213–10-0.0313%15 Aug →
mirage1–40.1614%15 Aug →
dust24–130.0219%15 Aug →
mirage13–30.0616%14 Aug →
anubis13–6-0.043%14 Aug →
dust213–50.019%14 Aug →
inferno4–13-0.007%14 Aug →
dust27–13-0.0610%14 Aug →
anubis13–100.0416%14 Aug →
inferno13–5-0.089%14 Aug →
cache8–13-0.0715%14 Aug →
anubis15–150.0115%14 Aug →
ancient13–100.0215%14 Aug →

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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