p a X i

p a X i — CS2 Stats

76561198013863248[U:1:53597520]Steam profile ↗✓ No bans

235Tracked matches66%Win rate2020Tracked since
2,316Hours in CS
CSDB Rating6.3 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 235 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,879 +1,385 8 Apr – 19 May · 16 days played
17,50021,153peak 21,1538 Apr19 May
21,211Peak Premier in tracked matches
35Days played since 2026-04-08

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 9 among CSDB-tracked players (n=14,327), 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 9 medianLevel 10 medianvs Level 10
Headshot rate41.4%48.2%50.9%9.5% short
Shot accuracy19.9%13.3%13.8%above
Kill/death ratio1.231.071.09above
Match win rate48.8%46.9%48.4%meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGp a X iFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim71
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateWLWLLWTWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · −4ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 613ms

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 (+1.3 against its own average).

Aim7.1
Utility5.7
Positioning5.0
Opening Duels1.8
Clutch5.2

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 623ms 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

Aim7.1
Positioning5.0
Utility5.7
Mechanics7.9
Opening Duels1.6
Win Impact10.0

Composite 6.3/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time623ms+6ms
first ⅓ avg 617ms → last ⅓ avg 623ms
Headshot accuracy14.5%−0.4%
first ⅓ avg 14.9% → last ⅓ avg 14.5%

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

0.18Best match rating · 13–6 · overpass, 17 May →
29%Best headshot accuracy · 13–7 · mirage, 23 Apr →
398msFastest reaction time · 13–8 · cache, 8 Sept →
13–0Biggest win · ancient, 10 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 73% over 11ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA3622–1461%0.02
infernoS1611–569%0.02
dust2B137–654%-0.01
cacheS118–373%0.00
overpassA116–555%0.02
ancientC104–640%0.01
anubis—21–150%-0.00
nuke—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,074Lifetime kills
1.23K/D · Top 25% of Level 9 players
4,066Matches
48.8%Match win rate · Top 50% of Level 9 players
41.4%Headshot %
19.9%Shot accuracy · Top 5% of Level 9 players
11,967MVPs
2,316Hours (in match)
4,974Bombs planted
1,628Bombs defused

Most-used weapons

Lifetime map wins

13,142dust2
11,040inferno
3,344nuke
2,621cbble
1,331train
132vertigo
131dust
60office

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

Faceit stats

Combat

435Matches
54%Win rate
1.16Avg K/D
80.9ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2669%1.2517.8
Cache1675%1.1916.2
Inferno1155%1.1715.7
Dust21030%0.8013.3
Overpass771%1.5618.7
Ancient757%1.0314.7
Anubis20%0.6210.0
Nuke10%0.8713.0

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.

14.8%Headshot accuracy
37.4%Accuracy (enemy spotted)
35.4%Spray accuracy
85.5%Counter-strafing
9.3°Preaim
623msReaction time
27.8%T opening success
42.7%CT opening success
0.56Enemies flashed / flash
8.1%Flash assists
13.75HE damage / grenade
4.31Flashes / 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 14.7731% — below the 15% mark we flag

    Aim Training →
  2. 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 27.8366% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0615%8 Sept →
mirage7–13-0.0312%8 Sept →
mirage13–100.1211%8 Sept →
dust214–16-0.0116%2 Sept →
cache9–13-0.0513%2 Sept →
cache13–90.0211%28 May →
overpass12–120.0228%22 May →
dust213–60.0718%22 May →
mirage16–140.0220%21 May →
cache16–14-0.0110%21 May →
inferno4–13-0.0211%21 May →
anubis8–13-0.0214%20 May →
ancient8–13-0.0023%19 May →
mirage13–50.0210%19 May →
mirage13–100.0116%18 May →
ancient3–130.0013%18 May →
mirage13–9-0.049%18 May →
anubis13–50.0220%18 May →
overpass13–60.1813%17 May →
mirage5–130.0314%17 May →
inferno16–19-0.0411%17 May →
mirage13–7-0.0027%16 May →
dust213–8-0.039%16 May →
overpass16–14-0.0114%16 May →
ancient13–10-0.058%16 May →
dust210–13-0.1117%14 May →
cache13–7-0.0222%11 May →
mirage13–100.0010%11 May →
cache13–70.0418%10 May →
cache13–20.0114%10 May →
mirage13–8-0.0117%10 May →
inferno13–100.0410%10 May →
ancient10–13-0.076%10 May →
mirage3–13-0.0722%8 May →
inferno13–40.1113%8 May →
dust29–130.0326%8 May →
mirage5–13-0.0316%8 May →
inferno13–70.0219%8 May →
cache11–130.0021%8 May →
ancient13–110.0420%7 May →
mirage8–130.0216%7 May →
mirage16–140.0216%7 May →
overpass4–130.067%6 May →
mirage3–130.0215%6 May →
mirage13–70.0222%5 May →
overpass13–7-0.0212%5 May →
mirage13–90.0628%5 May →
inferno13–10-0.0815%4 May →
dust213–40.0722%4 May →
mirage10–13-0.0114%28 Apr →
mirage7–13-0.0116%27 Apr →
nuke6–13-0.0419%26 Apr →
overpass6–13-0.0023%25 Apr →
mirage11–130.1226%25 Apr →
inferno13–110.0429%24 Apr →
mirage13–10-0.0219%24 Apr →
inferno7–13-0.0510%24 Apr →
mirage7–13-0.0317%24 Apr →
mirage16–13-0.0024%24 Apr →
cache13–40.0021%23 Apr →
cache7–13-0.0918%23 Apr →
mirage13–40.048%23 Apr →
mirage13–70.0729%23 Apr →
cache13–40.0326%22 Apr →
overpass16–130.0015%22 Apr →
inferno13–50.1023%22 Apr →
dust22–13-0.0520%21 Apr →
ancient5–130.019%18 Apr →
inferno13–90.0415%18 Apr →
mirage13–80.1112%18 Apr →
dust213–3-0.0019%17 Apr →
mirage13–60.0621%17 Apr →
inferno10–130.0414%16 Apr →
overpass10–13-0.009%14 Apr →
ancient11–13-0.0422%14 Apr →
mirage13–70.0314%14 Apr →
mirage5–13-0.0614%14 Apr →
inferno13–40.1320%12 Apr →
overpass13–10-0.0513%12 Apr →
inferno13–10-0.0116%12 Apr →
mirage8–130.0415%12 Apr →
overpass16–140.007%12 Apr →
inferno13–10.044%11 Apr →
ancient6–130.087%11 Apr →
dust28–13-0.0118%11 Apr →
dust213–80.0115%11 Apr →
mirage13–10-0.0417%11 Apr →
ancient13–00.1315%10 Apr →
mirage7–130.0019%10 Apr →
mirage13–50.0715%10 Apr →
inferno8–13-0.0219%10 Apr →
dust213–70.0112%10 Apr →
mirage13–90.0618%10 Apr →
mirage13–60.0912%10 Apr →
mirage3–13-0.0416%9 Apr →
inferno13–110.0525%9 Apr →
dust23–13-0.1511%9 Apr →
overpass3–13-0.0119%9 Apr →
dust213–90.0218%8 Apr →
ancient13–110.0213%8 Apr →

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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