PiTje

PiTje — CS2 Stats

NL76561197960855851[U:1:590123]Steam profile ↗✓ No bans

599Tracked matches43%Win rate2020Tracked since
1,157Hours in CS
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating13,972Blue band · top ~33.8% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 13,972 -2,222 2 Jan – 30 Sept · 22 days played
10,48916,359peak 16,3592 Jan30 Sept
16,459Peak Premier in tracked matches
47Days played since 2023-12-30

Premier CS Rating

  • 2,387 below peak (16,359)
  • Next: Purple band at 15,000 — 1,028 to go
  • Reached: Purple band · Blue band · Light Blue band

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 6 among CSDB-tracked players (n=12,868), 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 6 medianLevel 7 medianvs Level 7
Headshot rate47.2%44.8%45.7%above
Shot accuracy24.9%12.4%12.7%above
Kill/death ratio3.751.031.05above
Match win rate45.0%45.2%45.7%meets

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGPiTjeFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,972 · Blue bandcsdb.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

Aim76
Positioning64
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateWWLWLWLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · −33ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 530ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 535ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6
Utility6.6
Positioning6.4
Opening Duels5.9
Clutch5.6

Strong CT-side opener

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim7.6
Positioning6.4
Utility6.6
Mechanics7.9
Opening Duels5.0
Win Impact2.8

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time587ms+0ms
first ⅓ avg 587ms → last ⅓ avg 587ms
Headshot accuracy20.1%+2.8%
first ⅓ avg 17.3% → last ⅓ avg 20.1%

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

0.14Best match rating · 3–13 · inferno, 6 Mar →
37%Best headshot accuracy · 13–9 · anubis, 19 Oct →
414msFastest reaction time · 13–4 · inferno, 4 Jan →
13–3Biggest win · anubis, 15 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
5–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 59% over 17nukeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC2712–1544%0.01
anubisA1710–759%0.01
ancientA169–756%0.02
mirageB126–650%0.04
nukeD91–811%0.01
cacheD82–625%-0.01
overpassC83–538%0.01
dust2—20–20%0.00
train—10–10%0.01

Across the last 100 tracked matches.

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

Lifetime stats

244,799Lifetime kills
3.75K/D · Top 1% of Level 6 players
3,158Matches
45.0%Match win rate
47.2%Headshot % · Top 50% of Level 6 players
24.9%Shot accuracy · Top 1% of Level 6 players
9,769MVPs
1,157Hours (in match)
2,857Bombs planted
838Bombs defused

Most-used weapons

AK-4759,191
AWP51,664
P2507,979
SSG 085,267
FAMAS4,852

Lifetime map wins

5,046inferno
3,260dust2
1,427cbble
1,322train
802nuke
450vertigo
120lake
62ar_shoots

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

Faceit stats

Combat

280Matches
52%Win rate
1.16Avg K/D
88.9ADR
46%Headshot %

Clutches & streaks

48%1v1 clutch win
32%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno2055%1.4018.1
Anubis1070%0.9113.5
Ancient850%1.0914.4
Mirage650%1.1815.7
Nuke617%0.9214.5
Cache450%1.6422.5
Vertigo333%1.1315.3
Overpass367%1.2619.0

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.

19.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.2%Spray accuracy
85.6%Counter-strafing
9.4°Preaim
579msReaction time
33.5%T opening success
66.2%CT opening success
0.63Enemies flashed / flash
3.8%Flash assists
9.93HE damage / grenade
15.27Flashes / 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 33.5229% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.1112%30 Sept →
ancient13–110.0816%12 Sept →
mirage2–13-0.0124%4 Sept →
inferno13–80.0331%4 Sept →
inferno9–13-0.0617%4 Sept →
inferno13–60.0522%3 Sept →
cache10–130.0122%3 Sept →
mirage13–90.0422%1 Sept →
anubis13–5-0.0517%1 Sept →
inferno4–130.1028%31 Aug →
anubis13–90.0217%27 Aug →
nuke8–13-0.0023%27 Aug →
inferno2–130.018%26 Aug →
anubis16–130.0217%23 Aug →
ancient5–13-0.0019%23 Aug →
inferno7–130.0224%22 Aug →
ancient5–13-0.0122%22 Aug →
cache7–130.0012%19 Aug →
anubis13–100.0620%18 Aug →
mirage13–100.1020%18 Aug →
cache14–160.0717%18 Aug →
mirage13–70.0316%17 Aug →
inferno8–13-0.0516%17 Aug →
ancient4–13-0.0335%8 Aug →
cache3–13-0.0513%8 Aug →
ancient13–60.1227%8 Aug →
anubis10–13-0.0421%8 Aug →
cache8–13-0.0612%7 Aug →
ancient10–130.0221%7 Aug →
inferno13–5-0.0524%7 Aug →
nuke8–130.0724%5 Aug →
cache13–11-0.0628%5 Aug →
cache13–40.0519%31 Jul →
nuke7–13-0.0420%31 Jul →
inferno7–13-0.0413%31 Jul →
ancient13–110.0119%31 Jul →
dust26–13-0.068%31 Jul →
nuke13–60.0722%31 Jul →
ancient11–2-0.0214%31 Jul →
inferno12–160.0121%21 Jul →
cache10–13-0.0513%21 Jul →
ancient5–130.0021%1 Feb →
inferno13–100.0525%1 Feb →
train10–130.0119%1 Feb →
nuke8–13-0.0315%17 Jan →
anubis10–130.0519%19 Oct →
mirage13–110.0121%19 Oct →
dust212–120.0717%19 Oct →
anubis13–90.0737%19 Oct →
nuke9–130.0927%19 Oct →
anubis13–3-0.0627%15 Jul →
anubis13–8-0.0118%31 May →
ancient9–130.0122%8 May →
inferno13–6-0.013%5 May →
ancient13–9-0.0113%26 Apr →
overpass13–90.0315%14 Apr →
inferno6–13-0.0632%8 Apr →
overpass9–130.0123%29 Mar →
mirage9–130.0527%29 Mar →
nuke9–130.0213%29 Mar →
inferno7–13-0.0814%29 Mar →
overpass12–16-0.0711%23 Mar →
inferno13–70.0017%22 Mar →
anubis9–130.0420%22 Mar →
anubis7–130.0216%16 Mar →
anubis13–16-0.0416%13 Mar →
inferno13–100.0529%6 Mar →
inferno3–130.1424%6 Mar →
anubis13–110.0820%29 Feb →
inferno13–90.0320%29 Feb →
mirage13–30.0213%29 Feb →
anubis6–13-0.0812%29 Feb →
mirage11–130.0718%29 Feb →
ancient13–50.0121%25 Feb →
nuke10–13-0.0222%25 Feb →
overpass9–13-0.0512%25 Feb →
inferno13–30.0717%18 Feb →
ancient13–90.0023%17 Feb →
anubis13–7-0.0410%17 Feb →
inferno2–130.0022%17 Feb →
inferno4–13-0.038%3 Feb →
ancient13–50.0515%3 Feb →
mirage10–130.0314%29 Jan →
inferno10–13-0.0416%29 Jan →
mirage13–40.0727%25 Jan →
anubis15–150.0421%25 Jan →
inferno7–13-0.0416%18 Jan →
ancient13–90.0620%18 Jan →
mirage11–130.0110%18 Jan →
inferno5–13-0.078%15 Jan →
overpass7–13-0.0422%8 Jan →
anubis13–100.038%8 Jan →
ancient7–130.0114%8 Jan →
inferno13–50.0814%4 Jan →
inferno13–40.0928%4 Jan →
overpass8–130.0518%4 Jan →
overpass13–30.0923%2 Jan →
mirage3–130.0123%2 Jan →
overpass13–30.0817%2 Jan →
nuke8–13-0.0218%30 Dec →

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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