Xplized

Xplized — CS2 Stats

DK76561197960308522[U:1:42794]Steam profile ↗✓ No bans

2,938Tracked matches38%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating16,347Purple band · top ~23% of ranked players (population est.)
FaceitLevel 7 · 1,493 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (4 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: 16,347 -176 19 Jun – 22 Oct · 28 days played
15,80118,882peak 18,88219 Jun22 Oct
Faceit ELO: 1,493 +0 18 Sept – 25 Sept · 2 observations
1,4931,493peak 1,49318 Sept25 Sept
18,912Peak Premier in tracked matches
1,493Highest Faceit ELO seen on CSDB
41Days played since 2026-06-19

Faceit ELO

  • At peak — 1,493
  • Next: Level 8 at 1,531 — 38 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-18
  • Level 6 first seen 2026-09-18

Premier CS Rating

  • 2,535 below peak (18,882)
  • -153 over 30 days · steady
  • -612 over 90 days
  • Next: Pink band at 20,000 — 3,653 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGXplizedFACEITLevel 7 · 1,493 ELOSTANDINGTop 42.3% of rankedPREMIER16,347 · Purple bandPEAK ELO1,493csdb.gg/stats

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Performance scores

Aim59
Positioning46
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLWWWLLWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.7pp headshot accuracy · −30ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 588ms

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 (+3 against its own average).

Aim5.9
Utility6.9
Positioning4.6
Opening Duels1.2
Clutch3.0

Effective 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

ZywOo

Plays most like ZywOo 74% 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 585ms 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

Aim5.9
Positioning4.6
Utility6.9
Mechanics6.4
Opening Duels1.3
Win Impact1.0

Composite 4.9/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time590ms−2ms
first ⅓ avg 593ms → last ⅓ avg 590ms
Headshot accuracy18.1%+2.3%
first ⅓ avg 15.8% → last ⅓ avg 18.1%

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

0.09Best match rating · 13–6 · inferno, 9 Aug →
38%Best headshot accuracy · 3–13 · nuke, 23 Aug →
352msFastest reaction time · 13–3 · nuke, 6 Jul →
13–2Biggest win · nuke, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 69% over 13dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientC239–1439%-0.02
nukeA2112–957%-0.02
cacheC167–944%-0.03
infernoS139–469%0.00
anubisD113–827%-0.02
dust2D51–420%-0.01
overpass—42–250%-0.01
mirage—31–233%-0.02
vertigo—10–10%-0.10
debris—11–0100%0.03
train—11–0100%0.01
stronghold—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,889Matches
50%Win rate
0.98Avg K/D
77.7ADR
33%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5956%1.1315.7
Ancient4842%1.0214.8
Nuke4760%0.9815.2
Anubis2357%0.9915.5
Dust21331%0.8416.3
Cache1338%0.7211.6
Vertigo1267%1.0413.8
Overpass667%1.1718.0

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.

17.7%Headshot accuracy
33.1%Accuracy (enemy spotted)
32.7%Spray accuracy
78.9%Counter-strafing
11.1°Preaim
585msReaction time
40.1%T opening success
30.3%CT opening success
0.77Enemies flashed / flash
8.6%Flash assists
12.15HE damage / grenade
6.91Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.3408% — 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.

20% win rate across 5 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
inferno6–13-0.0617%22 Oct →
mirage8–130.0325%22 Oct →
anubis13–80.0513%10 Oct →
ancient13–60.0121%10 Oct →
cache13–50.005%10 Oct →
ancient9–130.0121%8 Oct →
vertigo5–9-0.1023%4 Oct →
nuke13–9-0.0015%1 Oct →
cache17–19-0.0611%27 Sept →
ancient6–130.0222%26 Sept →
nuke7–13-0.0510%26 Sept →
nuke13–8-0.0312%24 Sept →
dust213–110.0728%24 Sept →
ancient9–13-0.0221%14 Sept →
cache10–13-0.0124%12 Sept →
nuke13–9-0.042%12 Sept →
ancient7–13-0.067%4 Sept →
cache9–13-0.0126%29 Aug →
debris9–40.0314%28 Aug →
nuke3–13-0.0613%26 Aug →
nuke3–13-0.0538%23 Aug →
ancient8–13-0.0423%18 Aug →
dust27–13-0.0413%18 Aug →
cache13–30.0023%16 Aug →
ancient13–90.0124%16 Aug →
nuke4–13-0.0518%16 Aug →
ancient16–13-0.0318%13 Aug →
cache7–13-0.0118%13 Aug →
ancient9–130.0130%13 Aug →
ancient3–13-0.0722%12 Aug →
cache15–150.039%9 Aug →
inferno13–60.0911%9 Aug →
ancient15–15-0.0421%9 Aug →
ancient13–8-0.0730%8 Aug →
anubis2–13-0.0126%8 Aug →
nuke13–20.0311%7 Aug →
dust27–130.0118%7 Aug →
inferno13–110.0119%7 Aug →
nuke13–40.0115%7 Aug →
cache13–7-0.0020%7 Aug →
cache13–5-0.0518%5 Aug →
inferno13–6-0.0425%5 Aug →
nuke13–70.059%5 Aug →
dust24–13-0.0621%5 Aug →
anubis0–9-0.040%28 Jul →
inferno11–13-0.0313%28 Jul →
inferno13–60.0323%26 Jul →
ancient13–70.0414%26 Jul →
cache13–60.0111%26 Jul →
anubis10–13-0.0413%26 Jul →
cache4–13-0.0811%22 Jul →
ancient2–13-0.1015%22 Jul →
cache13–7-0.0313%22 Jul →
anubis8–13-0.0919%18 Jul →
inferno6–130.0419%18 Jul →
nuke13–110.0430%18 Jul →
ancient9–13-0.0314%18 Jul →
nuke10–13-0.059%17 Jul →
ancient16–12-0.0116%17 Jul →
nuke13–30.0420%17 Jul →
nuke3–13-0.0013%13 Jul →
cache13–11-0.0112%13 Jul →
ancient7–13-0.0518%13 Jul →
inferno13–50.0722%10 Jul →
cache11–13-0.0822%10 Jul →
cache9–13-0.056%8 Jul →
inferno13–110.0425%8 Jul →
train13–100.0110%7 Jul →
cache12–12-0.0613%7 Jul →
stronghold11–13-0.0212%7 Jul →
anubis5–13-0.0017%6 Jul →
nuke13–3-0.065%6 Jul →
ancient13–8-0.0318%6 Jul →
anubis13–10-0.0013%5 Jul →
nuke13–8-0.0510%5 Jul →
mirage2–13-0.069%5 Jul →
inferno13–5-0.0115%5 Jul →
nuke8–13-0.0311%3 Jul →
mirage13–8-0.0218%3 Jul →
overpass13–11-0.0116%3 Jul →
ancient6–13-0.079%3 Jul →
ancient7–13-0.0636%3 Jul →
inferno9–13-0.0527%3 Jul →
anubis10–13-0.0213%28 Jun →
inferno13–4-0.0310%28 Jun →
ancient8–13-0.0118%28 Jun →
dust210–13-0.034%27 Jun →
nuke15–15-0.0219%27 Jun →
anubis4–13-0.0612%27 Jun →
overpass11–13-0.0218%27 Jun →
nuke13–100.0417%25 Jun →
overpass13–80.0320%25 Jun →
ancient13–80.067%25 Jun →
overpass15–15-0.0619%24 Jun →
nuke4–13-0.0924%24 Jun →
nuke13–11-0.0725%20 Jun →
anubis16–140.0025%20 Jun →
ancient13–50.0225%20 Jun →
inferno13–90.0212%20 Jun →
anubis12–160.0015%19 Jun →

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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