xtal

xtal — CS2 Stats

76561198053130939[U:1:92865211]Steam profile ↗✓ No bans

265Tracked matches52%Win rate2020Tracked since
577Hours in CS3Hrs last 2 wks
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating17,398Purple band · top ~18.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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: 17,398 +6,245 28 Mar – 3 Nov · 20 days played
11,15317,635peak 17,63528 Mar3 Nov
17,635Peak Premier in tracked matches
38Days played since 2026-03-28

Premier CS Rating

  • 237 below peak (17,635)
  • +401 over 30 days · improving
  • Next: Pink band at 20,000 — 2,602 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-29
  • Blue band first seen 2026-10-29

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

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 rate38.8%44.4%46.9%8.1% short
Shot accuracy13.8%11.9%13.0%above
Kill/death ratio0.881.031.080.21 short
Match win rate32.0%45.2%46.7%14.7% short

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

Widest gap: Match win rate. 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.GGxtalPREMIER17,398 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning41
Utility36

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLLLWLLLTWW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −5.4pp headshot accuracy · −17ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 659ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 595ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 603ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.5 against its own average).

Aim7.5
Utility3.6
Positioning4.1
Opening Duels0.0
Clutch7.2

Limited utility dependenceReliable in 1v1s

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

ropz

Plays most like ropz 96% 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

Positioning. Positioning trails aim by 34 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.

Reaction time. 587ms 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

Aim7.5
Positioning4.1
Utility3.6
Mechanics7.3
Opening Duels0.6
Win Impact5.6

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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time600ms−83ms
first ⅓ avg 684ms → last ⅓ avg 600ms
Headshot accuracy13.9%−0.7%
first ⅓ avg 14.6% → last ⅓ avg 13.9%

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

0.16Best match rating · 13–3 · cache, 23 Sept →
35%Best headshot accuracy · 13–10 · dust2, 30 Mar →
438msFastest reaction time · 16–13 · ancient, 21 Sept →
13–2Biggest win · dust2, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
9–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 61% over 28nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2817–1161%-0.02
infernoB189–950%-0.03
cacheB178–947%-0.02
mirageD165–1131%-0.02
nukeD72–529%-0.06
overpass—42–250%-0.03
ancient—41–325%-0.03
vertigo—31–233%0.04
office—21–150%-0.04
anubis—10–10%-0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,582Lifetime kills
0.88K/D
957Matches
32.0%Match win rate
38.8%Headshot %
13.8%Shot accuracy · Top 50% of Purple band
969MVPs
366Hours (in match)
1,022Bombs planted
162Bombs defused

Most-used weapons

Lifetime map wins

1,983dust2
632inferno
296nuke
217vertigo
134dust
78office
71train
16ar_shoots

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

Faceit stats

Combat

18Matches
50%Win rate
0.76Avg K/D
45.2ADR
44%Headshot %

Clutches & streaks

56%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.788.8
Ancient425%0.467.5
Mirage2100%0.507.0
Inferno10%1.0716.0
Nuke1100%0.538.0

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.

14.1%Headshot accuracy
37.5%Accuracy (enemy spotted)
38.2%Spray accuracy
82.8%Counter-strafing
8.6°Preaim
587msReaction time
24.8%T opening success
34.6%CT opening success
0.59Enemies flashed / flash
8.0%Flash assists
9.71HE damage / grenade
2.58Flashes / 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. 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 14.0507% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5761 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 24.8038% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.048%3 Nov →
dust23–13-0.0113%3 Nov →
overpass6–9-0.0811%3 Nov →
mirage13–8-0.0415%22 Oct →
inferno10–13-0.046%14 Oct →
cache11–13-0.0419%14 Oct →
inferno9–130.0212%13 Oct →
anubis15–15-0.128%13 Oct →
mirage13–11-0.0018%13 Oct →
inferno13–11-0.0814%10 Oct →
dust213–20.0224%10 Oct →
cache13–110.0113%10 Oct →
cache13–10-0.0117%10 Oct →
dust213–6-0.0222%7 Oct →
cache11–13-0.0216%5 Oct →
mirage14–160.0016%2 Oct →
dust23–13-0.0315%23 Sept →
dust211–13-0.0314%23 Sept →
cache13–30.1614%23 Sept →
cache13–100.0526%22 Sept →
dust29–13-0.0614%22 Sept →
dust213–100.1217%21 Sept →
dust213–5-0.027%21 Sept →
ancient16–13-0.064%21 Sept →
mirage7–13-0.0516%21 Sept →
inferno13–90.0214%18 Sept →
dust213–5-0.0520%18 Sept →
mirage0–7-0.0213%18 Sept →
dust213–11-0.049%10 Sept →
mirage7–90.0425%10 Sept →
mirage5–13-0.074%3 Jun →
dust213–50.0510%3 Jun →
cache13–5-0.037%3 Jun →
dust213–9-0.056%1 Jun →
cache9–13-0.0312%1 Jun →
inferno7–13-0.0215%1 Jun →
overpass13–110.0512%21 May →
cache13–4-0.0314%13 May →
dust27–13-0.0322%13 May →
cache10–13-0.0426%13 May →
dust213–8-0.0413%11 May →
cache13–5-0.036%11 May →
dust213–70.0815%11 May →
dust213–4-0.0224%11 May →
cache9–13-0.0110%11 May →
dust213–4-0.059%10 May →
dust27–13-0.0016%10 May →
cache11–130.0011%10 May →
cache10–13-0.0717%8 May →
cache9–13-0.093%4 May →
ancient5–130.0020%4 May →
cache8–13-0.0616%30 Apr →
inferno6–13-0.0314%30 Apr →
cache13–8-0.0315%30 Apr →
dust26–13-0.0522%27 Apr →
mirage9–13-0.039%27 Apr →
dust29–130.0114%27 Apr →
inferno4–13-0.059%26 Apr →
mirage9–2-0.0212%26 Apr →
office6–13-0.069%25 Apr →
ancient10–130.0012%25 Apr →
dust213–100.0213%25 Apr →
nuke10–130.0021%21 Apr →
dust213–9-0.0218%18 Apr →
inferno6–13-0.0424%16 Apr →
nuke10–13-0.0816%16 Apr →
inferno13–6-0.0514%15 Apr →
inferno8–13-0.0212%15 Apr →
nuke13–11-0.0121%14 Apr →
overpass13–9-0.0321%13 Apr →
inferno13–9-0.023%13 Apr →
office13–11-0.0212%12 Apr →
nuke9–13-0.0417%12 Apr →
mirage10–13-0.0219%12 Apr →
vertigo7–13-0.0210%12 Apr →
vertigo7–130.0712%8 Apr →
vertigo13–40.089%8 Apr →
mirage9–13-0.0617%5 Apr →
inferno4–13-0.0415%5 Apr →
dust213–6-0.067%5 Apr →
nuke10–13-0.089%5 Apr →
dust210–13-0.0112%5 Apr →
mirage10–13-0.047%5 Apr →
ancient2–13-0.080%4 Apr →
inferno9–5-0.0719%4 Apr →
dust27–13-0.0217%4 Apr →
dust213–10-0.0735%30 Mar →
inferno13–9-0.0315%30 Mar →
mirage13–10-0.039%30 Mar →
nuke13–6-0.0125%30 Mar →
dust26–13-0.0515%30 Mar →
overpass10–13-0.079%30 Mar →
mirage13–110.0116%29 Mar →
inferno13–11-0.0615%29 Mar →
nuke7–9-0.2014%29 Mar →
dust213–10-0.0311%28 Mar →
inferno9–4-0.1021%28 Mar →
inferno13–30.1024%28 Mar →
mirage7–130.0221%28 Mar →
mirage0–13-0.0514%28 Mar →

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 →

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