p0xx

p0xx — CS2 Stats

FI76561198032343095[U:1:72077367]Steam profile ↗✓ No bans

694Tracked matches52%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 694 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 57 days played since 1 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 27,514 +1,789 5 Feb25 Jun · 35 days played
25,53927,514peak 27,5145 Feb25 Jun
27,514Peak Premier in tracked matches
57Days played since 2026-02-01

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

Performance scores

Aim81
Positioning60
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLWWLWLLLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · +24ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 627ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 613ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 602ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim8.1
Utility2.4
Positioning6.0
Opening Duels5.1
Clutch2.6

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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim8.1
Positioning6.0
Utility2.4
Mechanics6.9
Opening Duels4.2
Win Impact5.6

Composite 6.0/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time607ms−13ms
first ⅓ avg 621ms → last ⅓ avg 607ms
Headshot accuracy22.1%−0.7%
first ⅓ avg 22.8% → last ⅓ avg 22.1%

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

0.21Best match rating · 13–3 · overpass, 4 Feb
39%Best headshot accuracy · 13–11 · nuke, 25 Jun
469msFastest reaction time · 6–13 · ancient, 23 May
11–0Biggest win · dust2, 22 Apr

Across the last 100 tracked matches.

Highlights

8Longest win streak
127In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 62% over 13infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
ancientC1881044%0.00
nukeB147750%0.01
mirageD134931%-0.00
anubisA138562%0.03
infernoD1321115%-0.00
dust2B136746%0.02
cacheC73443%0.03
overpass43175%0.06
vertigo21150%-0.00
train21150%0.02
cache_b110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,866Matches
50%Win rate
1.04Avg K/D
89.2ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
31%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis3342%1.1117.7
Ancient3348%1.1218.0
Nuke3067%1.3416.9
Inferno2767%1.4518.0
Dust21533%0.9814.6
Cache1354%1.1417.7
Mirage1164%0.9812.7
Overpass650%1.2319.2

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.

22.1%Headshot accuracy
39.2%Accuracy (enemy spotted)
44.5%Spray accuracy
81.2%Counter-strafing
11.2°Preaim
605msReaction time
37.9%T opening success
55.4%CT opening success
0.43Enemies flashed / flash
1.8%Flash assists
5.54HE damage / grenade
1.22Flashes / 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. 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 0.4296 — below the 0.5 mark we flag

    Grenade Lineups
  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 37.9073% — below the 40% mark we flag

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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo10–13-0.0131%8 Sept
train13–70.0221%15 Aug
cache13–40.0729%15 Aug
mirage2–13-0.0716%15 Aug
anubis13–7-0.0116%15 Aug
inferno6–130.0831%26 Jul
nuke10–13-0.078%17 Jul
cache11–13-0.0129%12 Jul
ancient13–110.0819%12 Jul
anubis5–130.0323%12 Jul
nuke13–11-0.0339%25 Jun
ancient13–80.0713%15 Jun
nuke13–6-0.0910%12 Jun
nuke13–70.0324%9 Jun
ancient13–4-0.0622%8 Jun
inferno7–130.0923%6 Jun
mirage13–110.0417%5 Jun
nuke5–130.0520%27 May
cache3–13-0.0621%27 May
dust216–130.0216%24 May
ancient6–130.0122%23 May
cache1–13-0.0435%22 May
nuke15–150.0028%22 May
dust213–9-0.0124%21 May
cache11–20.0929%21 May
nuke5–13-0.0233%15 May
ancient19–22-0.0613%9 May
inferno5–9-0.0425%2 May
ancient13–90.0722%26 Apr
cache13–50.1116%26 Apr
cache4–130.0227%25 Apr
overpass13–50.0710%22 Apr
dust211–00.1818%22 Apr
nuke9–13-0.0124%22 Apr
ancient13–90.0334%21 Apr
dust27–13-0.0313%21 Apr
inferno2–13-0.058%14 Apr
mirage6–130.0124%12 Apr
ancient9–130.0116%12 Apr
inferno11–130.0321%12 Apr
dust213–60.0730%12 Apr
ancient8–13-0.005%12 Apr
mirage13–11-0.0418%12 Apr
mirage13–50.0522%11 Apr
ancient9–13-0.0416%11 Apr
dust210–13-0.0134%11 Apr
mirage8–130.0018%10 Apr
ancient8–130.0722%9 Apr
anubis8–130.0226%8 Apr
ancient13–100.0032%4 Apr
inferno13–10-0.0224%3 Apr
mirage15–15-0.0128%2 Apr
mirage14–16-0.0418%2 Apr
anubis13–7-0.0116%1 Apr
nuke6–130.0218%1 Apr
ancient13–11-0.0120%29 Mar
dust24–13-0.0618%29 Mar
inferno15–15-0.0120%24 Mar
mirage7–130.0420%13 Mar
anubis13–160.0920%12 Mar
inferno15–150.0020%12 Mar
ancient3–13-0.0422%12 Mar
ancient8–130.0222%8 Mar
dust22–13-0.0322%8 Mar
anubis5–13-0.0431%6 Mar
cache_b19–170.0213%1 Mar
overpass7–13-0.0412%1 Mar
vertigo13–100.0122%1 Mar
ancient9–13-0.0336%23 Feb
anubis13–80.0217%21 Feb
train12–160.0223%17 Feb
inferno4–13-0.0221%17 Feb
nuke11–130.0924%16 Feb
anubis13–110.0534%15 Feb
mirage11–130.0423%15 Feb
mirage11–13-0.0220%14 Feb
dust22–130.1025%12 Feb
inferno0–13-0.0223%10 Feb
nuke13–3-0.0317%10 Feb
mirage2–13-0.0227%9 Feb
nuke13–110.1022%8 Feb
inferno2–13-0.0324%8 Feb
dust29–130.0419%8 Feb
anubis8–13-0.0019%8 Feb
nuke9–20.0638%8 Feb
ancient11–13-0.0316%8 Feb
anubis13–20.1220%7 Feb
inferno13–90.0427%6 Feb
anubis13–40.0623%6 Feb
inferno2–13-0.0929%6 Feb
ancient13–8-0.0024%5 Feb
dust212–160.0025%5 Feb
mirage13–110.0320%5 Feb
nuke13–110.0823%4 Feb
overpass13–30.2118%4 Feb
anubis13–11-0.0229%4 Feb
overpass13–9-0.0115%3 Feb
anubis13–70.0113%3 Feb
dust213–11-0.0318%3 Feb
dust213–90.0220%1 Feb

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 →