4xzz

4xzz — CS2 Stats

TH76561198060452846[U:1:100187118]Steam profile ↗✓ No bans

174Tracked matches48%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

Share this profile

CSDB.GG4xzzFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim56
Positioning49
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY39–51–10Last 10039%Win rateLWTWLWLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +138ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 722ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 724ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

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 (+1.1 against its own average).

Aim5.6
Utility1.8
Positioning4.9
Opening Duels4.7

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 89% 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.

T-side openings. Opening success drops from 46% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 678ms 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

Aim5.6
Positioning4.9
Utility1.8
Mechanics6.6
Opening Duels2.0
Win Impact4.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time665ms−9ms
first ⅓ avg 673ms → last ⅓ avg 665ms
Headshot accuracy15.0%+0.8%
first ⅓ avg 14.2% → last ⅓ avg 15.0%

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

0.24Best match rating · 9–4 · overpass, 7 Sept →
39%Best headshot accuracy · 8–2 · dust2, 19 Aug →
406msFastest reaction time · 11–16 · inferno, 24 Aug →
16–2Biggest win · inferno, 24 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–3In matches decided by ≤2 rounds
33Overtime games

Map breakdown

ancientBest map · 63% over 8overpassWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
overpassD216–1529%0.03
dust2B2010–1050%0.00
mirageC146–843%-0.01
infernoC145–936%-0.01
vertigoD124–833%-0.03
ancientA85–363%0.01
nukeA53–260%-0.03
train—20–20%-0.04
cbble—20–20%-0.00
tuscan—10–10%-0.03
anubis—10–10%-0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.2%Spray accuracy
79.8%Counter-strafing
11.5°Preaim
678msReaction time
11.9%T opening success
45.6%CT opening success
0.49Enemies flashed / flash
3.0%Flash assists
10.95HE damage / grenade
3.72Flashes / 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 0.4902 — 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 11.9349% — below the 40% mark we flag

Spend your practice time on Overpass

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 21 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0220%30 Jan →
dust213–100.0114%30 Jan →
dust212–12-0.049%30 Jan →
mirage13–1-0.010%15 Oct →
dust210–13-0.0316%15 Oct →
dust213–70.1122%15 Oct →
overpass11–130.1315%24 Nov →
mirage13–110.0020%24 Nov →
vertigo10–13-0.019%24 Nov →
nuke4–9-0.0415%7 Sept →
dust29–6-0.0021%7 Sept →
train0–9-0.069%7 Sept →
overpass9–40.2427%7 Sept →
inferno8–80.0511%7 Sept →
cbble3–9-0.0615%6 Sept →
inferno12–160.0110%6 Sept →
dust216–9-0.0113%6 Sept →
mirage11–130.0325%6 Sept →
overpass9–13-0.036%5 Sept →
ancient12–80.0616%5 Sept →
mirage4–9-0.0721%5 Sept →
inferno9–50.0419%5 Sept →
overpass16–120.0714%4 Sept →
ancient13–70.1016%4 Sept →
overpass8–80.1110%4 Sept →
overpass5–9-0.0511%4 Sept →
nuke13–70.0619%3 Sept →
inferno6–13-0.0315%3 Sept →
mirage1–5-0.0513%3 Sept →
overpass9–60.0417%3 Sept →
tuscan5–9-0.0313%3 Sept →
mirage6–16-0.0313%3 Sept →
inferno9–4-0.0518%3 Sept →
vertigo1–9-0.0117%3 Sept →
overpass9–60.038%2 Sept →
vertigo2–9-0.0919%2 Sept →
dust29–30.0811%2 Sept →
overpass3–9-0.0812%2 Sept →
dust28–80.0117%2 Sept →
inferno10–130.0124%2 Sept →
vertigo8–13-0.083%2 Sept →
mirage9–30.0520%2 Sept →
dust28–80.1012%2 Sept →
overpass13–40.090%1 Sept →
inferno6–9-0.0415%1 Sept →
overpass8–8-0.0122%1 Sept →
mirage16–50.0513%1 Sept →
mirage7–16-0.0514%1 Sept →
cbble8–80.0618%1 Sept →
overpass4–9-0.053%1 Sept →
nuke16–14-0.0315%31 Aug →
overpass12–160.0322%31 Aug →
overpass16–11-0.0011%31 Aug →
dust216–14-0.0420%30 Aug →
mirage2–16-0.0815%30 Aug →
vertigo9–7-0.010%30 Aug →
dust212–160.0212%30 Aug →
vertigo6–9-0.0416%30 Aug →
inferno16–12-0.0515%30 Aug →
ancient6–9-0.1111%30 Aug →
ancient15–15-0.0111%30 Aug →
vertigo16–50.0117%24 Aug →
ancient16–100.0914%24 Aug →
mirage16–60.054%24 Aug →
inferno11–16-0.110%24 Aug →
dust216–12-0.0217%24 Aug →
dust29–160.016%24 Aug →
inferno16–20.0710%24 Aug →
vertigo16–40.0214%24 Aug →
dust28–16-0.017%23 Aug →
overpass2–16-0.0710%23 Aug →
overpass7–16-0.0111%23 Aug →
inferno4–160.0721%23 Aug →
overpass13–160.0717%22 Aug →
train5–16-0.0210%22 Aug →
nuke16–13-0.0613%22 Aug →
ancient8–16-0.0214%22 Aug →
vertigo1–12-0.1114%22 Aug →
overpass2–110.099%22 Aug →
dust29–60.0518%21 Aug →
dust29–70.0023%21 Aug →
mirage8–8-0.0412%21 Aug →
inferno9–70.0332%21 Aug →
ancient16–60.0416%21 Aug →
nuke6–9-0.0511%21 Aug →
dust25–9-0.0914%19 Aug →
inferno4–9-0.1210%19 Aug →
dust22–9-0.024%19 Aug →
inferno4–9-0.0419%19 Aug →
ancient9–1-0.100%19 Aug →
overpass7–9-0.049%19 Aug →
dust28–2-0.0339%19 Aug →
mirage9–40.029%19 Aug →
overpass6–90.0113%16 Aug →
mirage6–9-0.0612%16 Aug →
vertigo13–16-0.059%16 Aug →
anubis3–9-0.0722%16 Aug →
vertigo7–16-0.0413%15 Aug →
overpass8–80.1322%15 Aug →
vertigo9–60.0210%15 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 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.