Xero301 [GER]

Xero301 [GER] — CS2 Stats

DE76561198214894296[U:1:254628568]Steam profile ↗✓ No bans

4,875Tracked matches52%Win rate2022Tracked since
4,562Hours in CS34Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating15,874Purple band · top ~24.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (yesterday). 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: 15,874 -1,799 4 Sept – 10 Nov · 18 days played
15,00017,673peak 17,6734 Sept10 Nov
17,673Peak Premier in tracked matches
16Days played since 2026-09-04

Premier CS Rating

  • 1,799 below peak (17,673)
  • -181 over 30 days · steady
  • Next: Pink band at 20,000 — 4,126 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate33.2%42.7%43.8%10.5% short
Shot accuracy5.3%11.2%12.0%6.7% short
Kill/death ratio0.890.991.020.13 short
Match win rate45.0%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXero301 [GER]FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,874 · 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

Aim41
Positioning58
Utility73

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLLLLWLLWWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +44ms reaction

Win rate down 40pp 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 -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 603ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 617ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 595ms

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 (+3.3 against its own average).

Aim4.1
Utility7.3
Positioning5.8
Opening Duels3.0
Clutch0.0

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 59% 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

Areas to improve

Reaction time. 569ms 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

Aim4.1
Positioning5.8
Utility7.3
Mechanics4.6
Opening Duels5.0
Win Impact5.6

Composite 5.2/10 (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 -0.01 → last ⅓ avg -0.01
Reaction time579ms+44ms
first ⅓ avg 535ms → last ⅓ avg 579ms
Headshot accuracy9.5%−0.7%
first ⅓ avg 10.2% → last ⅓ avg 9.5%

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

0.10Best match rating · 13–9 · cache, 23 Oct →
20%Best headshot accuracy · 5–13 · inferno, 25 Oct →
375msFastest reaction time · 13–11 · inferno, 18 Oct →
13–3Biggest win · inferno, 7 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
12–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 27ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS2718–967%0.00
dust2C2310–1343%-0.01
mirageD124–833%-0.02
anubisB115–645%-0.02
nukeC104–640%-0.02
cacheA106–460%-0.00
ancientD72–529%-0.03

Across the last 100 tracked matches.

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

Lifetime stats

101,437Lifetime kills
0.89K/D
6,194Matches
45.0%Match win rate · Top 50% of Level 4 players
33.2%Headshot %
5.3%Shot accuracy
13,630MVPs
2,664Hours (in match)
6,482Bombs planted
956Bombs defused

Most-used weapons

AK-4718,071
AWP15,489
FAMAS6,718
MAC-104,307
MP92,972

Lifetime map wins

14,567inferno
13,835dust2
5,824nuke
4,292vertigo
1,255train
325cbble
146office
41italy

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

Faceit stats

Combat

29Matches
48%Win rate
0.84Avg K/D
94.3ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo838%0.8212.3
Mirage450%0.809.5
Inferno367%0.517.7
Ancient250%0.8614.5
Nuke250%0.7015.5
Dust210%0.7814.0
Anubis10%0.7911.0

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.

9.4%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.3%Spray accuracy
70.5%Counter-strafing
12.4°Preaim
569msReaction time
51.9%T opening success
47.7%CT opening success
0.67Enemies flashed / flash
5.8%Flash assists
12.06HE damage / grenade
11.69Flashes / 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 12.3602° — above the 12° mark we flag

    Aim Training →
  2. 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 9.427% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0610%10 Nov →
dust211–130.0216%9 Nov →
nuke9–13-0.006%9 Nov →
mirage11–13-0.037%8 Nov →
inferno13–100.035%7 Nov →
dust23–13-0.0613%7 Nov →
nuke5–13-0.024%7 Nov →
dust213–10-0.054%7 Nov →
inferno13–30.0417%7 Nov →
anubis9–13-0.0110%7 Nov →
dust213–100.028%7 Nov →
cache13–9-0.062%6 Nov →
nuke11–130.029%6 Nov →
dust216–14-0.0116%6 Nov →
inferno13–6-0.0219%6 Nov →
inferno13–110.0211%6 Nov →
nuke13–40.0016%6 Nov →
nuke11–13-0.027%6 Nov →
inferno13–3-0.027%6 Nov →
inferno11–13-0.019%6 Nov →
cache9–130.0014%6 Nov →
dust29–130.0015%1 Nov →
inferno13–11-0.0212%1 Nov →
inferno13–11-0.072%1 Nov →
inferno13–60.078%1 Nov →
mirage11–13-0.046%1 Nov →
inferno7–130.0111%1 Nov →
anubis13–60.018%1 Nov →
dust215–15-0.048%1 Nov →
ancient13–110.057%31 Oct →
mirage13–4-0.024%31 Oct →
inferno11–13-0.0012%31 Oct →
inferno13–110.0712%31 Oct →
mirage13–10-0.067%31 Oct →
anubis13–110.036%31 Oct →
mirage10–13-0.0114%31 Oct →
dust28–130.022%31 Oct →
inferno3–13-0.0310%31 Oct →
dust26–13-0.057%31 Oct →
anubis13–30.006%25 Oct →
inferno13–10-0.007%25 Oct →
inferno9–13-0.0315%25 Oct →
inferno13–70.0216%25 Oct →
inferno5–130.0320%25 Oct →
cache13–100.059%25 Oct →
anubis11–13-0.105%24 Oct →
dust26–130.0415%24 Oct →
inferno9–13-0.0111%24 Oct →
anubis10–130.019%24 Oct →
dust216–13-0.037%24 Oct →
dust27–13-0.0117%23 Oct →
cache13–90.1014%23 Oct →
ancient10–130.019%23 Oct →
dust212–16-0.0416%23 Oct →
cache13–80.0113%23 Oct →
inferno13–100.0112%23 Oct →
mirage11–130.007%23 Oct →
anubis13–8-0.069%23 Oct →
nuke13–3-0.0312%23 Oct →
ancient5–13-0.068%23 Oct →
nuke13–3-0.0312%23 Oct →
inferno5–13-0.0712%23 Oct →
dust213–11-0.0411%23 Oct →
ancient16–12-0.095%21 Oct →
inferno13–6-0.019%21 Oct →
mirage10–13-0.0516%20 Oct →
ancient6–13-0.039%20 Oct →
dust211–13-0.029%20 Oct →
dust29–13-0.0217%20 Oct →
dust213–7-0.0112%20 Oct →
anubis9–130.029%20 Oct →
mirage13–11-0.0513%18 Oct →
inferno13–11-0.057%18 Oct →
anubis13–8-0.006%18 Oct →
dust213–110.0914%18 Oct →
nuke13–10-0.019%18 Oct →
ancient10–13-0.059%18 Oct →
ancient6–13-0.067%18 Oct →
mirage10–13-0.045%18 Oct →
inferno13–11-0.026%17 Oct →
dust27–13-0.048%17 Oct →
mirage13–90.0316%17 Oct →
dust213–80.0118%17 Oct →
inferno9–13-0.054%17 Oct →
cache5–130.019%17 Oct →
cache13–100.0112%17 Oct →
anubis10–13-0.0410%17 Oct →
dust213–30.017%17 Oct →
inferno13–60.067%17 Oct →
cache9–13-0.058%17 Oct →
mirage3–130.047%17 Oct →
cache10–13-0.079%17 Oct →
dust216–13-0.0114%16 Oct →
nuke4–13-0.0516%16 Oct →
nuke7–13-0.0414%11 Oct →
dust210–130.007%11 Oct →
inferno16–120.053%11 Oct →
inferno13–100.0417%11 Oct →
cache13–9-0.028%11 Oct →
mirage9–13-0.0318%11 Oct →

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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