cxzi

cxzi — CS2 Stats

PRO“Cxzi”MarsborneUnited StatesRiflerSettings & gear profile →

US76561198171719689[U:1:211453961]Steam profile ↗✓ No bans

6,115Tracked matches47%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 3,359 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,359 → 3,359
+19Tracked matches · now 6,115
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

Faceit ELO: 3,359 +0 28 Aug – 21 Sept · 9 observations
3,3593,359peak 3,35928 Aug21 Sept
3,359Highest Faceit ELO seen on CSDB
49Days played since 2026-05-04

Faceit ELO

  • At peak — 3,359
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 141 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Share this profile

CSDB.GGcxziFACEITLevel 10 · 3,359 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,359csdb.gg/stats

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Performance scores

Aim88
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

COLD52–48Last 10052%Win rateLLLWWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −0.8pp headshot accuracy · −16ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 402ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 410ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 417ms

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 (+1.7 against its own average).

Aim8.8
Utility5.5
Positioning5.2
Opening Duels0.8
Clutch3.6

Sharp aimer

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 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.

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

Aim8.8
Positioning5.2
Utility5.5
Mechanics6.5
Opening Duels1.3
Win Impact3.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time425ms−108ms
first ⅓ avg 533ms → last ⅓ avg 425ms
Headshot accuracy20.3%−2.3%
first ⅓ avg 22.5% → last ⅓ avg 20.3%

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

0.17Best match rating · 13–5 · cache, 9 Jul →
71%Best headshot accuracy · 7–13 · mirage, 9 Sept →
281msFastest reaction time · 4–13 · inferno, 28 Sept →
13–3Biggest win · inferno, 21 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 71% over 7dust2Weakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB3015–1550%0.01
dust2C198–1142%0.01
infernoA1810–856%0.02
nukeS139–469%0.00
ancientA95–456%0.02
cacheS75–271%0.07
anubis—30–30%-0.02
overpass—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,640Matches
56%Win rate
1.17Avg K/D
93.2ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage84358%1.2918.9
Ancient71661%1.3019.0
Anubis48956%1.2618.2
Dust240356%1.2218.4
Inferno29264%1.3017.5
Nuke27960%1.2118.3
Vertigo14557%1.2417.9
Overpass11656%1.2518.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$5,305Inventory value88ItemsFull inventory breakdown →
★ StatTrak™ Karambit | Marble Fade (Factory New)$1,700AK-47 | Fire Serpent (Field-Tested)$1,200★ M9 Bayonet | Blue Steel (Minimal Wear)$863M4A1-S | Fade (Factory New)$326★ Specialist Gloves | Marble Fade (Field-Tested)$210AK-47 | The Empress (Field-Tested)$140

Skill profile

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

20.3%Headshot accuracy
37.9%Accuracy (enemy spotted)
41.1%Spray accuracy
79.2%Counter-strafing
9.9°Preaim
422msReaction time
27.2%T opening success
40.6%CT opening success
0.43Enemies flashed / flash
7.1%Flash assists
7.40HE damage / grenade
14.40Flashes / 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 0.4275 — 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 27.2424% — below the 40% mark we flag

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.

42% win rate across 19 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
inferno11–13-0.0217%3 Oct →
mirage8–13-0.0220%3 Oct →
mirage2–13-0.1021%3 Oct →
nuke13–70.0222%3 Oct →
inferno16–140.0417%3 Oct →
dust25–13-0.0427%2 Oct →
mirage8–13-0.0114%2 Oct →
nuke13–11-0.0416%2 Oct →
anubis9–130.0112%28 Sept →
inferno4–13-0.0817%28 Sept →
nuke13–100.0412%27 Sept →
inferno13–80.0216%27 Sept →
mirage11–130.0220%27 Sept →
mirage13–10-0.0117%26 Sept →
cache13–90.0829%26 Sept →
nuke13–7-0.0314%26 Sept →
inferno13–70.0121%26 Sept →
cache9–130.0316%25 Sept →
inferno7–13-0.0126%25 Sept →
inferno12–16-0.0119%12 Sept →
nuke10–13-0.0110%12 Sept →
dust216–130.0121%11 Sept →
inferno13–90.0123%11 Sept →
cache13–40.0512%10 Sept →
nuke6–13-0.0417%10 Sept →
mirage16–13-0.0427%10 Sept →
cache5–130.0023%9 Sept →
mirage7–13-0.0171%9 Sept →
mirage7–13-0.0612%15 Aug →
inferno16–120.0220%15 Aug →
nuke3–13-0.0915%15 Aug →
mirage13–50.0425%15 Aug →
inferno10–13-0.0118%12 Aug →
anubis10–13-0.0127%12 Aug →
mirage13–80.0531%5 Aug →
ancient13–110.0422%1 Aug →
ancient16–14-0.0127%1 Aug →
anubis11–13-0.0511%31 Jul →
dust220–22-0.089%27 Jul →
dust27–130.0121%26 Jul →
inferno9–13-0.0318%26 Jul →
inferno13–30.0824%21 Jul →
dust213–70.0413%21 Jul →
dust213–16-0.0427%16 Jul →
mirage8–13-0.0514%16 Jul →
nuke9–13-0.0415%15 Jul →
inferno10–13-0.0417%15 Jul →
nuke13–6-0.0319%13 Jul →
inferno13–30.1218%9 Jul →
cache13–50.1729%9 Jul →
mirage13–100.1123%8 Jul →
mirage13–90.0013%4 Jul →
nuke13–50.1522%3 Jul →
dust211–130.0222%2 Jul →
ancient13–100.0023%24 Jun →
mirage13–70.0714%22 Jun →
ancient7–13-0.0114%22 Jun →
dust213–40.0332%19 Jun →
dust213–50.1438%17 Jun →
ancient13–50.1222%17 Jun →
dust210–130.0223%9 Jun →
mirage13–50.1327%8 Jun →
mirage14–16-0.0021%5 Jun →
inferno13–70.0825%4 Jun →
mirage13–110.0118%4 Jun →
mirage11–10.0813%4 Jun →
mirage14–160.0218%2 Jun →
ancient11–130.0116%1 Jun →
dust213–30.1021%1 Jun →
dust213–70.1633%1 Jun →
ancient10–130.0228%1 Jun →
mirage10–130.0216%28 May →
ancient13–110.0327%27 May →
mirage4–13-0.0627%27 May →
mirage8–130.0425%27 May →
dust22–13-0.0515%26 May →
mirage6–13-0.0233%26 May →
nuke13–60.0121%24 May →
dust213–9-0.0112%23 May →
inferno13–11-0.0018%23 May →
nuke13–70.0923%22 May →
dust211–13-0.0333%22 May →
mirage13–10-0.0221%22 May →
mirage13–110.0015%15 May →
dust211–130.0518%15 May →
cache13–70.0626%13 May →
inferno13–50.1619%12 May →
cache13–40.0822%12 May →
mirage19–150.0225%12 May →
mirage8–130.0424%11 May →
ancient11–130.0221%11 May →
dust213–6-0.0228%6 May →
mirage8–13-0.0115%5 May →
mirage13–80.0435%5 May →
mirage13–60.1532%5 May →
nuke13–6-0.0124%5 May →
dust214–16-0.0515%4 May →
inferno10–13-0.0423%4 May →
overpass12–16-0.0316%4 May →
dust28–13-0.0219%4 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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