P0T4T0

P0T4T0 — CS2 Stats

FI76561197972222110[U:1:11956382]Steam profile ↗✓ No bans

523Tracked matches59%Win rate2021Tracked since
1,961Hours in CS10Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,296 → 1,296
+3Tracked matches · now 523
+7.4ppWin rate · 51.8% → 59.3%

Rating over time

Premier CS Rating: 17,053 +1,495 11 Jan – 16 Jun · 27 days played
15,55818,556peak 18,55611 Jan16 Jun
Faceit ELO: 1,296 +0 23 Sept – 4 Oct · 2 observations
1,2961,296peak 1,29623 Sept4 Oct
19,277Peak Premier in tracked matches
1,296Highest Faceit ELO seen on CSDB
54Days played since 2026-01-10

Faceit ELO

  • At peak — 1,296
  • Next: Level 7 at 1,351 — 55 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-23
  • Level 5 first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches5——
Win rate60%——
K/D0.68——
Headshot %51%——

Measured 4 Oct 2026 → 12 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches29——
Win rate59%——
K/D0.78——
Headshot %47%——

Measured 12 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGP0T4T0PEAK ELO1,296csdb.gg/stats

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Performance scores

Aim59
Positioning59
Utility55

0–100 skill scores via Leetify.

Recent form

HOT49–47–4Last 10049%Win rateWWWLTWLWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · −27ms reaction

Win rate up 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 575ms

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 (+0.9 against its own average).

Aim5.9
Utility5.5
Positioning5.9
Opening Duels3.6
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

ZywOo

Plays most like ZywOo 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 584ms 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

Aim5.9
Positioning5.9
Utility5.5
Mechanics6.6
Opening Duels3.6
Win Impact8.1

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time584ms−11ms
first ⅓ avg 595ms → last ⅓ avg 584ms
Headshot accuracy16.5%+0.5%
first ⅓ avg 16.0% → last ⅓ avg 16.5%

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

0.19Best match rating · 13–9 · dust2, 28 Feb →
33%Best headshot accuracy · 13–0 · dust2, 10 Apr →
453msFastest reaction time · 6–13 · overpass, 9 May →
13–0Biggest win · dust2, 10 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
9–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 60% over 15ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A3318–1555%0.01
nukeB2111–1052%-0.02
infernoA159–660%0.01
ancientD124–833%-0.02
mirageD93–633%-0.02
cache—42–250%-0.02
anubis—31–233%-0.04
overpass—20–20%-0.02
train—11–0100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,582Lifetime kills
1.01K/D · Top 50% of tracked players
2,603Matches
46.4%Match win rate · Top 50% of tracked players
40.3%Headshot %
11.4%Shot accuracy
5,435MVPs
1,099Hours (in match)
2,891Bombs planted
713Bombs defused

Most-used weapons

Lifetime map wins

7,016dust2
5,368inferno
2,927nuke
1,825train
613vertigo
393cbble
303aztec
140dust

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

Faceit stats

Combat

264Matches
50%Win rate
1.05Avg K/D
76.0ADR
41%Headshot %

Clutches & streaks

46%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23040%1.0013.5
Nuke2948%1.0314.4
Inferno2576%1.2116.1
Mirage2157%1.0013.8
Anubis1242%1.0313.7
Ancient1258%1.0814.7
Cache560%1.1313.2
Overpass560%0.7411.8

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.

16.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
27.9%Spray accuracy
79.9%Counter-strafing
9.4°Preaim
584msReaction time
37.5%T opening success
51.4%CT opening success
0.68Enemies flashed / flash
4.5%Flash assists
8.23HE damage / grenade
4.76Flashes / 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

    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 37.4845% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–6-0.0519%11 Oct →
nuke13–6-0.0310%11 Oct →
inferno13–50.0016%11 Oct →
mirage10–13-0.0428%2 Oct →
ancient15–150.0427%2 Oct →
nuke13–110.0211%2 Oct →
anubis10–13-0.0410%2 Oct →
mirage13–9-0.0021%30 Sept →
dust213–9-0.0111%30 Sept →
inferno16–140.0117%25 Sept →
inferno13–3-0.0114%19 Sept →
nuke13–30.0312%18 Sept →
dust26–1-0.046%18 Sept →
nuke9–13-0.0023%9 Sept →
ancient9–130.0219%9 Sept →
dust214–16-0.0112%9 Sept →
cache10–13-0.0016%30 Aug →
mirage15–15-0.0116%28 Aug →
inferno10–13-0.0131%28 Aug →
dust28–130.0318%28 Aug →
dust213–70.0715%23 Aug →
inferno13–3-0.0213%21 Aug →
nuke13–11-0.0022%21 Aug →
mirage13–8-0.0614%31 Jul →
ancient15–15-0.039%22 Jul →
ancient11–13-0.059%16 Jun →
nuke13–110.0920%13 Jun →
dust26–130.0513%12 Jun →
anubis13–11-0.0410%12 Jun →
nuke5–13-0.0428%29 May →
dust213–50.1223%26 May →
nuke11–130.0718%17 May →
ancient13–60.0113%17 May →
mirage2–13-0.0816%13 May →
anubis3–13-0.0410%9 May →
overpass6–13-0.0114%9 May →
nuke13–9-0.068%8 May →
dust213–7-0.0215%8 May →
ancient9–13-0.057%8 May →
inferno7–13-0.0512%8 May →
dust213–60.0411%8 May →
cache8–13-0.049%7 May →
cache13–7-0.0112%7 May →
cache13–5-0.0414%6 May →
dust27–13-0.0115%4 May →
dust216–13-0.0312%25 Apr →
dust28–13-0.0116%25 Apr →
inferno11–130.0114%21 Apr →
dust26–130.0220%21 Apr →
nuke3–13-0.1022%19 Apr →
ancient7–130.0215%19 Apr →
dust212–16-0.0216%17 Apr →
nuke15–15-0.0322%17 Apr →
ancient6–13-0.0110%17 Apr →
dust25–13-0.0710%17 Apr →
inferno13–80.0013%17 Apr →
dust210–13-0.0512%10 Apr →
nuke2–13-0.0711%10 Apr →
dust213–00.0133%10 Apr →
inferno13–60.0715%10 Apr →
dust213–110.0115%10 Apr →
dust213–80.0033%8 Apr →
dust213–80.1031%8 Apr →
nuke7–1-0.0817%8 Apr →
dust212–160.0320%7 Apr →
mirage11–13-0.029%7 Apr →
mirage6–13-0.056%29 Mar →
inferno16–140.0620%29 Mar →
dust27–13-0.0217%28 Mar →
inferno13–100.0421%28 Mar →
dust213–8-0.0214%27 Mar →
inferno7–13-0.0422%27 Mar →
dust213–11-0.0221%22 Mar →
nuke5–13-0.0513%20 Mar →
ancient13–1-0.0317%20 Mar →
nuke8–13-0.0015%14 Mar →
dust28–13-0.075%12 Mar →
ancient16–12-0.0610%12 Mar →
inferno13–110.0315%11 Mar →
mirage8–13-0.0316%10 Mar →
inferno12–16-0.0315%9 Mar →
dust213–70.1230%8 Mar →
dust29–130.0122%1 Mar →
dust213–90.1912%28 Feb →
nuke13–1-0.027%27 Feb →
ancient13–9-0.0810%27 Feb →
mirage13–20.1525%27 Feb →
nuke10–13-0.0719%27 Feb →
dust213–70.0429%25 Feb →
dust210–13-0.0514%25 Feb →
dust27–13-0.0418%22 Feb →
nuke13–7-0.0014%22 Feb →
ancient1–13-0.0510%20 Feb →
nuke13–9-0.049%20 Feb →
dust213–10-0.0116%19 Feb →
dust213–60.0212%29 Jan →
nuke8–13-0.007%29 Jan →
inferno3–130.0223%23 Jan →
nuke16–120.0112%11 Jan →
overpass8–13-0.0421%10 Jan →

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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