Patz

Patz — CS2 Stats

NO76561199036490065[U:1:1076224337]Steam profile ↗✓ No bans

1,920Tracked matches64%Win rate2020Tracked since
3,382Hours in CS
CSDB Rating7.6 StrongSupport
Premier CS Rating22,692Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47956 of 261639 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 22,692 -1,935 11 Apr – 14 Nov · 19 days played
22,69226,537peak 26,53711 Apr14 Nov
Faceit ELO: 2,164 +0 1 Sept – 20 Sept · 2 observations
2,1642,164peak 2,1641 Sept20 Sept
26,888Peak Premier in tracked matches
2,164Highest Faceit ELO seen on CSDB
30Days played since 2026-04-11

Premier CS Rating

  • 3,845 below peak (26,537)
  • Next: Red band at 25,000 — 2,308 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate63.1%46.9%49.3%above
Shot accuracy10.9%13.0%13.4%2.5% short
Kill/death ratio0.681.081.120.44 short
Match win rate41.6%46.7%48.5%6.9% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPatzPREMIER22,692 · Pink bandPEAK ELO2,164csdb.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

Aim83
Positioning66
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateTWWLWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −3.5pp headshot accuracy · +26ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 578ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 558ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 545ms

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).

Aim8.3
Utility6.6
Positioning6.6
Opening Duels4.9
Clutch3.2

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms 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

Aim8.3
Positioning6.6
Utility6.6
Mechanics6.8
Opening Duels6.5
Win Impact9.8

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time570ms−30ms
first ⅓ avg 600ms → last ⅓ avg 570ms
Headshot accuracy25.9%+1.4%
first ⅓ avg 24.6% → last ⅓ avg 25.9%

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

0.16Best match rating · 13–5 · ancient, 7 Nov →
50%Best headshot accuracy · 16–14 · nuke, 10 Jun →
422msFastest reaction time · 11–13 · ancient, 12 May →
13–1Biggest win · inferno, 10 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–12In matches decided by ≤2 rounds
19Overtime games

Map breakdown

overpassBest map · 83% over 6dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientC2310–1343%0.01
infernoA2012–860%0.02
mirageB137–654%-0.00
nukeS128–467%0.02
dust2D93–633%-0.01
anubisS96–367%0.01
cacheA74–357%-0.01
overpassS65–183%0.02
office—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,284Lifetime kills
0.68K/D
3,467Matches
41.6%Match win rate
63.1%Headshot % · Top 5% of Pink band
10.9%Shot accuracy
11,692MVPs
3,382Hours (in match)
2,885Bombs planted
2,248Bombs defused

Most-used weapons

AK-4735,101
AWP4,041
Knife1,253
FAMAS1,085
P250911

Lifetime map wins

8,976inferno
3,889nuke
3,633dust2
1,516train
1,224vertigo
41cbble
15office
1italy

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

Faceit stats

Combat

1,117Matches
51%Win rate
1.12Avg K/D
83.2ADR
53%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno19557%1.1416.8
Ancient19351%1.2117.5
Mirage16952%1.1216.6
Anubis16743%1.0616.7
Nuke10657%1.1518.5
Train4652%1.0217.0
Overpass3746%1.0315.8
Dust22658%1.0416.5

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.

24.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.4%Spray accuracy
80.8%Counter-strafing
8.5°Preaim
564msReaction time
68.3%T opening success
43.8%CT opening success
0.65Enemies flashed / flash
6.7%Flash assists
9.64HE damage / grenade
12.14Flashes / match

Recommended for you

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0513%14 Nov →
nuke13–100.0424%12 Nov →
cache16–140.0521%10 Nov →
ancient10–13-0.0018%10 Nov →
mirage13–6-0.0227%10 Nov →
inferno16–130.0020%9 Nov →
ancient3–130.0421%9 Nov →
dust22–13-0.0935%9 Nov →
inferno8–130.0235%9 Nov →
inferno13–11-0.0312%9 Nov →
dust213–90.0327%7 Nov →
ancient13–50.1616%7 Nov →
dust213–16-0.0326%6 Nov →
inferno13–40.0219%6 Nov →
nuke13–90.0131%6 Nov →
dust23–13-0.0422%6 Nov →
inferno13–50.0526%6 Nov →
anubis10–130.0145%5 Nov →
ancient15–150.0316%5 Nov →
inferno13–70.1132%5 Nov →
mirage13–11-0.0222%13 Jun →
dust213–8-0.0326%12 Jun →
inferno6–13-0.0631%12 Jun →
ancient9–13-0.0625%12 Jun →
anubis13–50.0023%12 Jun →
inferno13–80.0637%11 Jun →
mirage2–13-0.0718%11 Jun →
overpass13–110.0925%11 Jun →
inferno13–10.0839%10 Jun →
ancient13–90.0525%10 Jun →
overpass13–70.0415%10 Jun →
nuke16–140.0650%10 Jun →
nuke12–12-0.0136%9 Jun →
overpass13–40.0213%25 May →
cache16–140.0326%25 May →
ancient19–16-0.0219%24 May →
ancient13–10-0.0138%23 May →
nuke13–6-0.0332%23 May →
overpass8–13-0.0131%23 May →
mirage8–13-0.0132%23 May →
inferno13–11-0.0212%22 May →
mirage13–9-0.0016%22 May →
ancient15–150.0221%22 May →
inferno9–13-0.0325%21 May →
anubis13–100.0121%21 May →
ancient11–13-0.0124%21 May →
inferno11–13-0.0114%21 May →
mirage13–70.0434%20 May →
nuke9–130.0319%20 May →
ancient16–14-0.0016%20 May →
cache10–13-0.0319%20 May →
inferno13–100.0418%20 May →
anubis11–13-0.0323%19 May →
inferno10–130.0326%19 May →
cache6–13-0.0527%19 May →
ancient14–16-0.0425%19 May →
office1–130.000%18 May →
ancient11–130.0327%16 May →
mirage10–130.0421%16 May →
cache13–9-0.0125%16 May →
dust213–90.0617%16 May →
anubis16–140.0019%16 May →
nuke5–13-0.0333%15 May →
ancient20–220.0724%13 May →
anubis9–130.0217%13 May →
nuke16–13-0.0121%13 May →
inferno11–130.0123%13 May →
ancient13–50.0427%13 May →
mirage10–130.0538%13 May →
anubis16–130.0311%12 May →
mirage13–40.0132%12 May →
nuke11–130.0216%12 May →
ancient11–13-0.0524%12 May →
mirage10–13-0.0619%12 May →
ancient10–130.0315%11 May →
ancient13–10-0.0210%11 May →
inferno13–10-0.0218%9 May →
mirage13–40.0134%9 May →
overpass13–10-0.0128%9 May →
ancient13–60.0524%9 May →
nuke13–70.1345%9 May →
inferno12–160.0123%9 May →
ancient13–5-0.0211%9 May →
inferno13–50.0515%8 May →
ancient10–13-0.0118%8 May →
dust28–13-0.0130%8 May →
mirage16–140.0125%8 May →
ancient13–20.0531%8 May →
cache13–6-0.0118%8 May →
overpass13–4-0.0316%8 May →
inferno13–5-0.0116%8 May →
nuke16–14-0.0119%8 May →
inferno11–130.0440%7 May →
dust21–13-0.0332%7 May →
nuke13–50.0920%7 May →
anubis13–60.1033%7 May →
ancient10–130.0129%7 May →
cache11–13-0.0448%6 May →
dust214–160.0125%11 Apr →
anubis13–70.0121%11 Apr →

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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