XaX

XaX — CS2 Stats

US76561198986010023[U:1:1025744295]Steam profile ↗1 game ban

501Tracked matches50%Win rate2021Tracked since
919Hours in CS1Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating13,003Blue band · top ~39% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (13 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: 13,003 +7,262 31 Dec – 23 Oct · 8 days played
5,51114,257peak 14,25731 Dec23 Oct
14,257Peak Premier in tracked matches
29Days played since 2025-12-31

Premier CS Rating

  • 1,254 below peak (14,257)
  • Next: Purple band at 15,000 — 1,997 to go
  • Reached: Blue band · Light Blue band

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 rate44.8%42.7%43.8%above
Shot accuracy3.7%11.2%12.0%8.3% short
Kill/death ratio1.010.991.02meets
Match win rate42.2%43.9%44.7%2.5% short

This profile matches the typical Level 5 player on 2 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.GGXaXFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,003 · Blue 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

Aim72
Positioning62
Utility8

0–100 skill scores via Leetify.

Recent form

COLD54–38–8Last 10054%Win rateLLWTLLLLLW

Last 10 vs previous 10: −60pp win rate · −0.06 avg rating · −10.8pp headshot accuracy · −30ms reaction

Win rate down 60pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 600ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 593ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 608ms

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: Positional Player — Positioning stands above the rest of this profile (+3.5 against its own average).

Aim7.2
Utility0.8
Positioning6.2
Opening Duels3.8
Clutch0.0

Limited utility dependence

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

donk

Plays most like donk 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 646ms 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

Aim7.2
Positioning6.2
Utility0.8
Mechanics6.6
Opening Duels4.7
Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time635ms−114ms
first ⅓ avg 749ms → last ⅓ avg 635ms
Headshot accuracy21.1%−4.8%
first ⅓ avg 25.8% → last ⅓ avg 21.1%

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

0.34Best match rating · 9–1 · inferno, 30 Sept →
67%Best headshot accuracy · 3–6 · nuke, 10 Oct →
422msFastest reaction time · 9–1 · inferno, 30 Sept →
13–0Biggest win · mirage, 14 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA6236–2658%-0.00
infernoD93–633%0.07
mirageC73–443%0.00
ancientA53–260%0.01
dust2A53–260%-0.01
cache—42–250%-0.02
anubis—32–167%-0.03
poseidon—20–20%-0.05
vertigo—11–0100%0.02
overpass—11–0100%-0.04
train—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,079Lifetime kills
1.01K/D · Top 50% of Level 4 players
794Matches
42.2%Match win rate
44.8%Headshot % · Top 50% of Level 4 players
3.7%Shot accuracy
1,650MVPs
251Hours (in match)
739Bombs planted
159Bombs defused

Most-used weapons

Lifetime map wins

3,117nuke
1,047dust2
507inferno
330vertigo
63office
28italy
13safehouse
7ar_baggage

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

Faceit stats

Combat

7Matches
43%Win rate
0.62Avg K/D
95.2ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.7810.3
Ancient250%0.545.5
Anubis10%0.406.0
Inferno1100%0.5011.0

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.

20.5%Headshot accuracy
39.6%Accuracy (enemy spotted)
44.2%Spray accuracy
79.5%Counter-strafing
12.5°Preaim
646msReaction time
47.0%T opening success
50.9%CT opening success
0.09Enemies flashed / flash
6.2%Flash assists
4.68HE damage / grenade
0.81Flashes / 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 12.4778° — above the 12° mark we flag

    Aim Training →
  2. 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 0.0884 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.0938%23 Oct →
nuke5–13-0.0416%18 Oct →
nuke13–7-0.0720%18 Oct →
nuke12–12-0.000%18 Oct →
nuke0–20.060%18 Oct →
nuke4–130.0236%18 Oct →
nuke7–13-0.0512%14 Oct →
nuke7–13-0.1425%12 Oct →
nuke10–13-0.0530%12 Oct →
nuke11–30.0716%10 Oct →
nuke8–13-0.0417%10 Oct →
nuke3–6-0.0167%10 Oct →
nuke16–140.0322%8 Oct →
nuke13–6-0.0754%5 Oct →
nuke13–6-0.0225%5 Oct →
inferno9–10.3414%30 Sept →
inferno8–8-0.0136%30 Sept →
inferno9–60.0935%30 Sept →
nuke13–10-0.0517%28 Sept →
nuke10–90.0115%28 Sept →
nuke1–130.060%24 Sept →
nuke13–110.0517%24 Sept →
nuke13–9-0.0224%24 Sept →
nuke11–130.0918%24 Sept →
nuke13–30.0029%24 Sept →
nuke9–130.0421%22 Sept →
nuke5–13-0.0110%22 Sept →
nuke7–100.046%22 Sept →
nuke3–10-0.0023%22 Sept →
nuke13–8-0.0422%21 Sept →
nuke13–9-0.0210%21 Sept →
nuke13–30.0213%21 Sept →
nuke12–120.0210%21 Sept →
nuke13–100.0113%21 Sept →
nuke13–6-0.0216%21 Sept →
nuke8–13-0.0822%19 Sept →
nuke13–7-0.0110%19 Sept →
inferno9–60.057%17 Sept →
inferno5–90.0117%17 Sept →
inferno4–9-0.019%16 Sept →
ancient8–13-0.0317%15 Sept →
ancient13–80.0410%15 Sept →
cache10–130.0121%15 Sept →
nuke13–40.0723%15 Sept →
mirage13–80.0012%15 Sept →
dust213–7-0.057%15 Sept →
dust213–70.0925%15 Sept →
dust29–13-0.0514%14 Sept →
ancient15–15-0.0019%14 Sept →
cache13–10-0.0116%14 Sept →
mirage13–00.086%14 Sept →
anubis13–50.0116%14 Sept →
nuke13–10-0.0112%14 Sept →
nuke13–40.0117%14 Sept →
nuke13–110.0421%14 Sept →
ancient13–10-0.0116%13 Sept →
nuke8–130.0421%13 Sept →
dust24–13-0.0618%13 Sept →
mirage11–13-0.0427%13 Sept →
anubis6–13-0.1216%13 Sept →
inferno6–90.0813%13 Sept →
vertigo9–50.029%13 Sept →
nuke2–13-0.0212%13 Sept →
nuke13–7-0.0018%13 Sept →
nuke12–12-0.0023%9 Sept →
cache9–13-0.109%8 Sept →
nuke13–110.039%8 Sept →
cache13–70.0214%8 Sept →
nuke3–13-0.1030%8 Sept →
nuke13–100.0616%8 Sept →
nuke13–7-0.0920%7 Sept →
nuke13–5-0.0228%7 Sept →
nuke13–10.0931%7 Sept →
nuke13–5-0.0333%7 Sept →
nuke11–13-0.0522%7 Sept →
anubis13–110.0222%7 Sept →
nuke13–40.0330%7 Sept →
nuke13–10.0759%7 Sept →
nuke12–120.0819%7 Sept →
nuke13–40.0221%7 Sept →
nuke12–12-0.0626%7 Sept →
inferno15–15-0.0122%6 Sept →
nuke13–5-0.0840%6 Sept →
nuke13–6-0.0018%6 Sept →
nuke4–13-0.0318%6 Sept →
dust213–10.0043%24 May →
nuke6–130.0014%3 Mar →
nuke12–20.0217%3 Mar →
poseidon3–9-0.0440%24 Feb →
inferno4–90.0635%24 Feb →
poseidon4–9-0.0654%26 Jan →
overpass13–9-0.0426%4 Jan →
ancient13–50.0624%4 Jan →
mirage10–20.0429%4 Jan →
nuke13–110.0120%4 Jan →
mirage6–13-0.0513%3 Jan →
nuke4–0-0.0510%3 Jan →
mirage6–130.0720%3 Jan →
nuke10–130.0714%31 Dec →
train1–13-0.0425%31 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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