Das Pate

Das Pate — CS2 Stats

FI76561198069680119[U:1:109414391]Steam profile ↗✓ No bans

675Tracked matches37%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 675 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,800 +3,395 19 Apr – 4 Jul · 13 days played
5,83412,408peak 12,40819 Apr4 Jul
12,408Peak Premier in tracked matches
35Days played since 2025-04-19

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

Share this profile

CSDB.GGDas PateFACEITLevel 4STANDINGTop 81.0% 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

Aim64
Positioning51
Utility70

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateLLLWLLWLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · −3ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 593ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 595ms

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 (+2.8 against its own average).

Aim6.4
Utility7.0
Positioning5.1
Opening Duels4.8
Clutch0.0

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

device

Plays most like device 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 586ms 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

Aim6.4
Positioning5.1
Utility7.0
Mechanics6.7
Opening Duels4.3
Win Impact0.7

Composite 5.5/10 (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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time596ms−60ms
first ⅓ avg 656ms → last ⅓ avg 596ms
Headshot accuracy17.9%+3.1%
first ⅓ avg 14.8% → last ⅓ avg 17.9%

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

0.09Best match rating · 13–9 · inferno, 5 Jul →
33%Best headshot accuracy · 10–13 · cache, 7 Jun →
438msFastest reaction time · 13–3 · inferno, 30 May →
13–2Biggest win · dust2, 27 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
8–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 50% over 26ancientWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2613–1350%0.00
mirageC177–1041%-0.01
dust2B115–645%0.01
ancientD111–109%-0.02
nukeB105–550%0.01
overpassB105–550%0.00
cacheD62–433%-0.02
anubisD61–517%-0.01
train—22–0100%0.02
vertigo—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

146Matches
53%Win rate
0.95Avg K/D
78.0ADR
32%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1100%0.587.0
Inferno10%0.7710.0
Ancient10%1.2018.0
Nuke10%0.417.0

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.

18.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
33.2%Spray accuracy
80.2%Counter-strafing
10.0°Preaim
586msReaction time
40.9%T opening success
53.8%CT opening success
0.69Enemies flashed / flash
3.8%Flash assists
9.82HE damage / grenade
12.61Flashes / match

Recommended for you

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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0425%24 Jul →
mirage6–130.0113%22 Jul →
dust24–13-0.0114%17 Jul →
inferno13–11-0.0230%17 Jul →
ancient9–13-0.0410%4 Jul →
anubis6–13-0.0019%4 Jul →
nuke13–11-0.0313%4 Jul →
ancient9–130.0715%4 Jul →
nuke6–13-0.0111%7 Jun →
cache10–13-0.0333%7 Jun →
inferno13–110.0414%5 Jun →
cache4–13-0.0320%5 Jun →
overpass7–130.0521%5 Jun →
mirage2–13-0.0814%30 May →
inferno13–30.0820%30 May →
ancient13–6-0.039%22 May →
cache6–13-0.0618%22 May →
inferno8–130.0316%22 May →
inferno12–120.0123%30 Apr →
cache13–100.0629%30 Apr →
overpass12–12-0.0315%30 Apr →
cache13–7-0.0415%30 Apr →
inferno13–50.0825%26 Apr →
nuke13–110.0317%26 Apr →
ancient4–13-0.0615%19 Apr →
inferno13–110.0117%19 Apr →
ancient11–13-0.049%19 Apr →
inferno6–13-0.0916%18 Apr →
overpass5–130.0022%18 Apr →
inferno12–12-0.0121%18 Apr →
overpass13–40.0111%18 Apr →
mirage16–130.0322%10 Apr →
inferno11–13-0.0019%10 Apr →
inferno13–9-0.059%6 Apr →
mirage13–80.0411%4 Apr →
anubis9–13-0.0312%4 Apr →
inferno4–13-0.0910%4 Apr →
mirage13–100.0014%4 Apr →
mirage7–130.0112%2 Apr →
overpass13–110.0516%28 Mar →
inferno13–8-0.0320%28 Mar →
nuke9–13-0.0116%28 Mar →
nuke14–160.0414%21 Mar →
inferno8–130.0215%21 Mar →
inferno9–130.0126%20 Mar →
anubis10–130.0213%7 Mar →
dust213–11-0.013%7 Mar →
nuke13–60.0116%7 Mar →
dust213–20.0215%27 Feb →
overpass12–16-0.0115%27 Feb →
anubis13–7-0.0418%14 Feb →
inferno13–90.0112%14 Feb →
mirage13–100.0629%14 Feb →
overpass13–70.058%14 Feb →
dust29–130.007%24 Jan →
inferno4–13-0.0312%24 Jan →
mirage16–14-0.0122%24 Jan →
overpass13–7-0.059%9 Jan →
mirage13–8-0.058%9 Jan →
dust213–70.0514%9 Jan →
ancient7–13-0.0416%9 Jan →
inferno13–50.0120%6 Jan →
mirage9–13-0.016%6 Jan →
mirage5–130.0112%30 Dec →
mirage11–13-0.026%10 Oct →
mirage6–13-0.0612%10 Oct →
inferno13–4-0.0126%10 Oct →
mirage6–13-0.0323%26 Sept →
mirage13–4-0.0210%20 Jul →
dust216–130.0319%20 Jul →
overpass8–13-0.0112%20 Jul →
overpass13–9-0.0112%18 Jul →
inferno13–90.0913%5 Jul →
ancient14–16-0.0214%5 Jul →
train13–60.0115%5 Jul →
dust25–13-0.008%5 Jul →
nuke13–60.0118%5 Jul →
nuke13–60.0318%5 Jul →
inferno13–100.048%5 Jul →
inferno12–12-0.0126%4 Jul →
dust27–130.0319%4 Jul →
nuke13–160.0414%7 Jun →
inferno8–130.0414%7 Jun →
mirage6–13-0.0517%7 Jun →
ancient5–130.016%7 Jun →
anubis4–13-0.044%7 Jun →
ancient11–130.0310%7 Jun →
dust27–13-0.0732%7 Jun →
inferno6–130.0020%7 Jun →
train13–100.0310%7 Jun →
nuke7–13-0.0011%7 Jun →
ancient10–13-0.0323%7 Jun →
inferno13–10-0.006%6 Jun →
vertigo5–90.0312%6 Jun →
anubis8–130.0113%6 Jun →
dust213–70.0631%6 Jun →
mirage11–13-0.026%6 Jun →
inferno5–13-0.0117%6 Jun →
ancient6–13-0.1017%19 Apr →
dust211–13-0.0411%19 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.