Lorenor Zorro

Lorenor Zorro — CS2 Stats

76561199163407180[U:1:1203141452]Steam profile ↗✓ No bans

1,469Tracked matches42%Win rate2023Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating14,538Blue band · top ~30.8% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 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: 14,538 -1,567 22 Jul – 29 Sept · 36 days played
13,02016,105peak 16,10522 Jul29 Sept
16,499Peak Premier in tracked matches
38Days played since 2026-07-22

Premier CS Rating

  • 1,567 below peak (16,105)
  • +546 over 30 days · improving
  • Next: Purple band at 15,000 — 462 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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

Share this profile

CSDB.GGLorenor ZorroPREMIER14,538 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning72
Utility29

0–100 skill scores via Leetify.

Recent form

COLD41–51–8Last 10041%Win rateLWLTLLWLTT

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −3.9pp headshot accuracy · −43ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 535ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 557ms

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 (+3.1 against its own average).

Aim7.2
Utility2.9
Positioning7.2
Opening Duels6.2
Clutch0.0

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

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

Aim7.2
Positioning7.2
Utility2.9
Mechanics7.4
Opening Duels6.6
Win Impact2.4

Composite 5.7/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time555ms−41ms
first ⅓ avg 596ms → last ⅓ avg 555ms
Headshot accuracy12.0%+0.2%
first ⅓ avg 11.8% → last ⅓ avg 12.0%

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 · 13–0 · cache, 28 Jul →
40%Best headshot accuracy · 13–5 · anubis, 30 Jul →
375msFastest reaction time · 4–13 · ancient, 1 Sept →
13–0Biggest win · cache, 28 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 54% over 13infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2D186–1233%0.01
ancientB189–950%0.03
infernoD144–1029%0.01
nukeC146–843%-0.00
cacheB137–654%0.04
anubisC125–742%-0.01
mirageD93–633%0.01
vertigo—21–150%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
100%Win rate
1.18Avg K/D
84.0ADR
38%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

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.

11.5%Headshot accuracy
37.8%Accuracy (enemy spotted)
34.0%Spray accuracy
83.4%Counter-strafing
9.3°Preaim
547msReaction time
57.2%T opening success
55.8%CT opening success
0.33Enemies flashed / flash
3.6%Flash assists
9.86HE damage / grenade
2.52Flashes / 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 11.5216% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3253 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.0510%29 Sept →
inferno13–70.0412%29 Sept →
dust27–13-0.0217%29 Sept →
dust212–120.0318%27 Sept →
nuke3–130.0512%27 Sept →
nuke11–13-0.017%27 Sept →
ancient13–70.037%17 Sept →
ancient9–13-0.023%17 Sept →
nuke12–120.0013%17 Sept →
mirage15–150.0310%17 Sept →
dust210–13-0.0110%17 Sept →
inferno12–160.0116%13 Sept →
nuke13–10-0.038%13 Sept →
ancient9–130.0719%13 Sept →
cache13–70.0119%10 Sept →
anubis13–30.0528%10 Sept →
mirage13–100.0011%10 Sept →
ancient9–130.1716%9 Sept →
mirage6–130.129%9 Sept →
nuke2–130.0212%8 Sept →
dust23–13-0.078%8 Sept →
mirage13–5-0.018%6 Sept →
anubis15–150.014%6 Sept →
ancient13–5-0.026%6 Sept →
inferno8–13-0.0615%5 Sept →
cache13–30.106%5 Sept →
ancient11–13-0.0011%5 Sept →
ancient4–130.0110%1 Sept →
ancient13–60.1011%1 Sept →
mirage13–110.0212%1 Sept →
mirage4–13-0.0015%29 Aug →
ancient10–130.0121%29 Aug →
anubis13–30.0712%29 Aug →
nuke6–130.0115%28 Aug →
dust210–13-0.008%25 Aug →
inferno13–110.0511%25 Aug →
ancient13–80.0810%24 Aug →
nuke13–90.0211%24 Aug →
anubis1–13-0.127%23 Aug →
dust213–80.046%23 Aug →
nuke13–100.0715%22 Aug →
dust213–100.0817%22 Aug →
cache12–160.0325%21 Aug →
nuke7–13-0.0113%21 Aug →
anubis5–13-0.0111%21 Aug →
dust213–110.007%19 Aug →
dust27–130.0713%19 Aug →
ancient7–130.0513%18 Aug →
mirage10–13-0.0117%14 Aug →
cache4–130.0424%14 Aug →
inferno4–13-0.0715%13 Aug →
cache13–70.0414%13 Aug →
inferno13–60.136%12 Aug →
nuke13–11-0.0110%11 Aug →
dust28–130.0215%11 Aug →
inferno12–160.0018%7 Aug →
anubis11–13-0.048%7 Aug →
inferno13–8-0.0115%6 Aug →
nuke5–13-0.093%6 Aug →
inferno6–130.003%5 Aug →
ancient13–3-0.0126%5 Aug →
cache13–20.0318%5 Aug →
dust213–110.058%5 Aug →
cache8–130.0315%5 Aug →
dust211–13-0.0615%2 Aug →
nuke13–110.009%2 Aug →
dust213–100.0912%2 Aug →
ancient13–90.0315%2 Aug →
inferno3–13-0.026%1 Aug →
anubis5–13-0.0210%1 Aug →
dust215–15-0.0116%31 Jul →
dust24–13-0.089%31 Jul →
ancient15–150.0117%30 Jul →
anubis13–50.0540%30 Jul →
ancient16–120.018%30 Jul →
vertigo13–60.1314%30 Jul →
vertigo4–130.0114%30 Jul →
inferno4–13-0.017%30 Jul →
cache13–80.0318%30 Jul →
mirage4–13-0.0911%29 Jul →
nuke13–9-0.037%29 Jul →
inferno7–130.0116%28 Jul →
cache13–00.1816%28 Jul →
cache13–160.0016%28 Jul →
inferno6–130.0118%28 Jul →
cache15–150.0311%27 Jul →
ancient13–00.0615%27 Jul →
ancient13–60.055%27 Jul →
inferno10–130.029%27 Jul →
anubis2–13-0.084%27 Jul →
mirage15–150.0410%26 Jul →
nuke9–13-0.009%26 Jul →
dust213–40.029%26 Jul →
cache13–80.027%26 Jul →
dust26–13-0.020%25 Jul →
anubis6–13-0.0614%25 Jul →
anubis13–90.0411%24 Jul →
anubis13–10.013%23 Jul →
dust24–13-0.0411%22 Jul →
ancient5–13-0.0413%22 Jul →

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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