zorro

zorro — CS2 Stats

FI76561198089223613[U:1:128957885]Steam profile ↗✓ No bans

749Tracked matches33%Win rate2021Tracked since
CSDB Rating1.3 LearningPositional Player
Premier CS Rating2,815Grey band · top ~88.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Jun 2026 (128 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: 2,815 -1,516 15 Apr – 7 Jun · 10 days played
2,1884,331peak 4,33115 Apr7 Jun
4,745Peak Premier in tracked matches
15Days played since 2026-04-15

Premier CS Rating

  • 1,516 below peak (4,331)
  • Next: Light Blue band at 5,000 — 2,185 to go

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

Share this profile

CSDB.GGzorroFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER2,815 · Grey 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

Aim17
Positioning36
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY35–62–3Last 10035%Win rateWWWLLLLLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +8.2pp headshot accuracy · −124ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 506ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 630ms

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 (+2.3 against its own average).

Aim1.7
Utility0.9
Positioning3.6
Opening Duels0.7
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

jL

Plays most like jL 77% 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. 685ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 44% 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

Aim1.7
Positioning3.6
Utility0.9
Mechanics0.0
Opening Duels0.5
Win Impact0.0

Composite 1.3/10 (Learning), 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+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time674ms−68ms
first ⅓ avg 742ms → last ⅓ avg 674ms
Headshot accuracy11.7%+2.4%
first ⅓ avg 9.3% → last ⅓ avg 11.7%

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

0.11Best match rating · 14–16 · nuke, 20 Apr →
33%Best headshot accuracy · 11–13 · inferno, 19 May →
453msFastest reaction time · 13–10 · cache, 18 Sept →
13–2Biggest win · ancient, 16 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
3–11In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 57% over 7nukeWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
nukeD163–1319%0.00
infernoD155–1033%-0.04
dust2C145–936%-0.02
mirageD134–931%-0.02
ancientB137–654%-0.02
anubisD123–925%-0.04
cacheD72–529%-0.08
overpassA74–357%-0.07
train—32–167%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
27%Win rate
0.65Avg K/D
59.1ADR
22%Headshot %

Clutches & streaks

20%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke2100%0.9014.0
Dust2250%0.6911.0
Inferno10%0.8315.0
Mirage10%0.6710.0
Ancient10%0.8113.0
Anubis10%0.397.0

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.

12.8%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.2%Spray accuracy
44.5%Counter-strafing
10.3°Preaim
685msReaction time
34.3%T opening success
29.7%CT opening success
0.27Enemies flashed / flash
4.9%Flash assists
2.17HE damage / grenade
0.87Flashes / 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. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 44.4577% — below the 45% mark we flag

    Practice Config →
  2. 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 12.8205% — below the 15% mark we flag

    Aim Training →
  3. 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 0.273 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0822%18 Sept →
cache13–10-0.1211%18 Sept →
inferno13–8-0.0229%18 Sept →
dust20–6-0.010%15 Sept →
cache4–13-0.088%9 Jun →
mirage11–13-0.0818%9 Jun →
nuke8–13-0.0831%7 Jun →
inferno10–13-0.1218%7 Jun →
anubis3–50.0531%7 Jun →
dust213–30.013%7 Jun →
anubis16–12-0.035%7 Jun →
mirage6–13-0.017%7 Jun →
nuke9–13-0.0410%26 May →
cache4–13-0.0315%26 May →
dust27–13-0.015%26 May →
nuke2–70.016%26 May →
ancient13–8-0.0813%26 May →
inferno4–13-0.050%26 May →
anubis8–13-0.0616%26 May →
nuke5–13-0.0514%26 May →
cache4–13-0.110%26 May →
mirage16–120.0615%26 May →
inferno11–13-0.1333%19 May →
ancient13–100.0117%19 May →
anubis6–13-0.0612%19 May →
nuke6–13-0.066%19 May →
inferno13–70.0211%19 May →
cache9–13-0.055%19 May →
dust211–130.016%19 May →
overpass13–100.018%17 May →
inferno13–70.060%17 May →
nuke7–130.0411%17 May →
train12–12-0.080%17 May →
cache13–7-0.0910%17 May →
mirage6–130.0221%17 May →
nuke11–13-0.019%17 May →
ancient10–5-0.059%17 May →
inferno13–9-0.0619%16 May →
anubis13–10-0.0311%16 May →
inferno9–130.0011%16 May →
ancient13–5-0.0316%16 May →
ancient13–9-0.059%16 May →
ancient13–20.0310%16 May →
mirage3–13-0.0717%14 May →
train13–11-0.069%14 May →
overpass12–12-0.067%14 May →
cache12–12-0.076%3 May →
nuke10–130.078%22 Apr →
nuke13–90.039%22 Apr →
dust213–30.0515%22 Apr →
nuke7–130.095%22 Apr →
inferno9–130.0210%22 Apr →
dust213–20.1017%22 Apr →
mirage4–13-0.029%22 Apr →
ancient7–130.0610%22 Apr →
dust24–13-0.050%20 Apr →
mirage13–11-0.028%20 Apr →
dust27–13-0.0719%20 Apr →
mirage13–7-0.0622%20 Apr →
nuke2–13-0.0815%20 Apr →
inferno13–16-0.078%20 Apr →
overpass13–4-0.0411%20 Apr →
anubis6–13-0.097%20 Apr →
nuke13–110.046%20 Apr →
nuke14–160.118%20 Apr →
ancient11–130.059%20 Apr →
mirage11–13-0.0315%20 Apr →
inferno11–130.036%20 Apr →
mirage8–13-0.064%20 Apr →
dust210–13-0.039%20 Apr →
ancient5–13-0.0516%17 Apr →
dust29–13-0.0514%17 Apr →
dust27–13-0.053%17 Apr →
dust23–13-0.040%17 Apr →
inferno7–13-0.1015%17 Apr →
mirage9–13-0.0114%17 Apr →
ancient11–13-0.0510%16 Apr →
anubis10–13-0.0614%16 Apr →
mirage13–10-0.028%16 Apr →
ancient7–13-0.025%16 Apr →
anubis9–13-0.0318%16 Apr →
overpass13–7-0.088%16 Apr →
nuke10–13-0.0612%16 Apr →
inferno13–8-0.0420%16 Apr →
overpass6–13-0.120%16 Apr →
nuke13–2-0.020%16 Apr →
train13–10-0.054%16 Apr →
anubis2–13-0.1213%16 Apr →
ancient4–13-0.0613%16 Apr →
dust213–10-0.039%16 Apr →
inferno7–13-0.059%16 Apr →
overpass13–5-0.0813%16 Apr →
mirage10–130.0114%16 Apr →
anubis13–80.0410%16 Apr →
nuke6–130.0316%16 Apr →
anubis11–130.026%15 Apr →
ancient13–9-0.0414%15 Apr →
inferno5–13-0.083%15 Apr →
anubis4–13-0.113%15 Apr →
overpass7–13-0.096%15 Apr →

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 →

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