xt1Z㊚

xt1Z㊚ — CS2 Stats

76561199104193130[U:1:1143927402]Steam profile ↗✓ No bans

1,004Tracked matches55%Win rate2023Tracked since
2,728Hours in CS21Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating18,658Top 50% of 200,982 CSDB-tracked playersPurple band · top ~13.8% of ranked players (population est.)
CSDB Leaderboard#98575 of 247913 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 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: 18,658 +3,269 29 Aug – 18 Sept · 10 days played
15,38918,658peak 18,65829 Aug18 Sept
18,771Peak Premier in tracked matches
25Days played since 2026-08-28

Premier CS Rating

  • At peak — 18,658
  • Next: Pink band at 20,000 — 1,342 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches322——
Win rate45%——
K/D0.94——
Headshot %55%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate49.1%44.3%46.9%above
Shot accuracy1.5%11.9%13.0%11.5% short
Kill/death ratio1.031.031.080.05 short
Match win rate43.6%45.2%46.7%3.1% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGxt1Z㊚PREMIER18,658 · Purple 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

Aim46
Positioning55
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWTWLLWWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −79ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 625ms

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 (+2.6 against its own average).

Aim4.6
Utility7.4
Positioning5.5
Opening Duels4.0
Clutch2.4

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 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 646ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.6
Positioning5.5
Utility7.4
Mechanics4.3
Opening Duels4.4
Win Impact6.7

Composite 5.3/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time651ms+74ms
first ⅓ avg 577ms → last ⅓ avg 651ms
Headshot accuracy18.1%−4.1%
first ⅓ avg 22.2% → 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

0.14Best match rating · 13–4 · cache, 5 Sept →
39%Best headshot accuracy · 1–13 · vertigo, 8 Sept →
367msFastest reaction time · 13–1 · ancient, 1 Sept →
13–1Biggest win · ancient, 1 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 100% over 5infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
infernoC228–1436%0.01
ancientB168–850%0.02
dust2B157–847%-0.01
cacheB157–847%0.02
mirageA148–657%-0.01
nukeC83–538%-0.01
anubisS55–0100%0.03
vertigo—42–250%-0.01
train—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,727Lifetime kills
1.03K/D · Top 50% of Purple band
4,222Matches
43.6%Match win rate
49.1%Headshot % · Top 50% of Purple band
1.5%Shot accuracy
9,169MVPs
1,583Hours (in match)
4,363Bombs planted
1,672Bombs defused

Most-used weapons

Lifetime map wins

6,912inferno
6,142dust2
2,965nuke
2,871vertigo
827train
71italy
50office
44ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

20Matches
45%Win rate
1.20Avg K/D
77.8ADR
51%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2667%1.1213.0
Mirage520%1.1712.8
Ancient367%1.6023.3
Inferno2100%1.6015.5
Overpass20%1.0421.0
Anubis10%0.7112.0
Nuke10%0.6513.0

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.

17.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
38.3%Spray accuracy
69.5%Counter-strafing
12.5°Preaim
646msReaction time
44.4%T opening success
50.7%CT opening success
0.56Enemies flashed / flash
12.3%Flash assists
7.76HE damage / grenade
17.05Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.47° — above the 12° mark we flag

    Aim Training →
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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0210%1 Oct →
mirage12–12-0.0614%1 Oct →
vertigo13–50.0310%26 Sept →
dust211–130.0119%26 Sept →
mirage1–13-0.0820%24 Sept →
mirage13–8-0.0420%23 Sept →
mirage13–50.0110%19 Sept →
inferno10–13-0.0021%19 Sept →
anubis13–100.0421%18 Sept →
cache7–13-0.0321%18 Sept →
dust213–4-0.029%18 Sept →
cache13–60.1233%17 Sept →
cache8–13-0.0213%17 Sept →
cache3–13-0.0524%16 Sept →
mirage11–60.0113%16 Sept →
anubis13–100.0820%16 Sept →
anubis13–80.0014%16 Sept →
anubis13–90.0020%16 Sept →
dust26–13-0.0711%15 Sept →
dust213–40.1118%15 Sept →
dust213–11-0.0218%14 Sept →
ancient7–13-0.0224%14 Sept →
ancient13–60.0515%14 Sept →
ancient2–13-0.1023%14 Sept →
ancient4–13-0.0418%14 Sept →
inferno10–130.0122%14 Sept →
mirage10–13-0.0127%14 Sept →
mirage13–8-0.019%14 Sept →
inferno13–110.0010%13 Sept →
ancient7–130.0618%13 Sept →
cache7–13-0.0518%13 Sept →
train13–70.0531%13 Sept →
inferno2–130.0028%12 Sept →
inferno13–7-0.0613%12 Sept →
inferno7–130.0323%12 Sept →
cache6–13-0.0322%11 Sept →
dust213–8-0.0128%11 Sept →
nuke13–80.0520%10 Sept →
cache13–90.0520%10 Sept →
dust213–60.0310%10 Sept →
mirage11–13-0.0420%10 Sept →
dust25–130.0019%10 Sept →
inferno8–13-0.0231%10 Sept →
cache13–80.0622%10 Sept →
inferno12–12-0.0127%10 Sept →
nuke13–90.0312%9 Sept →
nuke12–120.0620%9 Sept →
dust213–16-0.0223%9 Sept →
mirage13–60.1011%9 Sept →
ancient13–20.0534%9 Sept →
inferno3–130.0217%9 Sept →
nuke8–13-0.0415%8 Sept →
inferno3–8-0.0314%8 Sept →
mirage13–50.0413%8 Sept →
mirage7–13-0.0225%8 Sept →
dust27–13-0.0020%8 Sept →
mirage13–90.0217%8 Sept →
inferno8–130.0134%8 Sept →
vertigo1–13-0.0339%8 Sept →
cache13–40.1429%5 Sept →
nuke7–13-0.0118%5 Sept →
cache13–20.0312%4 Sept →
dust27–130.0024%4 Sept →
mirage11–13-0.099%3 Sept →
vertigo4–13-0.0618%3 Sept →
vertigo13–70.0315%3 Sept →
ancient13–10-0.0123%3 Sept →
ancient13–100.0321%3 Sept →
inferno5–13-0.0125%3 Sept →
dust213–10-0.0027%3 Sept →
cache3–130.0534%3 Sept →
ancient13–11-0.0523%2 Sept →
inferno11–130.0421%2 Sept →
ancient12–120.0229%2 Sept →
ancient10–13-0.0129%2 Sept →
inferno11–130.0325%2 Sept →
nuke2–9-0.228%1 Sept →
inferno6–9-0.0516%1 Sept →
inferno13–30.0629%1 Sept →
ancient7–13-0.0416%1 Sept →
ancient5–130.0819%1 Sept →
inferno13–90.1024%1 Sept →
ancient13–10.0636%1 Sept →
dust26–13-0.0611%1 Sept →
dust213–110.0110%1 Sept →
cache16–13-0.0310%31 Aug →
inferno13–60.1027%31 Aug →
inferno10–13-0.0622%30 Aug →
cache6–13-0.0522%30 Aug →
cache8–130.0728%30 Aug →
mirage13–60.0226%30 Aug →
anubis13–50.0319%30 Aug →
inferno13–20.0918%30 Aug →
nuke13–30.0422%30 Aug →
dust28–13-0.0825%29 Aug →
cache13–4-0.0012%29 Aug →
ancient13–80.0630%29 Aug →
ancient13–40.1119%29 Aug →
inferno13–40.0426%29 Aug →
nuke12–12-0.0126%28 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.