piTz0r™

piTz0r™ — CS2 Stats

FR76561197983760251[U:1:23494523]Steam profile ↗✓ No bans

5,501Tracked matches57%Win rate2023Tracked since
4,987Hours in CS86Hrs last 2 wks
CSDB Rating6.7 SolidAll-Rounder
Premier CS Rating13,650Blue band · top ~35.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 13,650 +3,259 20 Sept – 4 Nov · 17 days played
10,39117,783peak 17,78320 Sept4 Nov
17,906Peak Premier in tracked matches
14Days played since 2026-09-20

Premier CS Rating

  • 4,133 below peak (17,783)
  • -1,658 over 30 days · declining
  • Next: Purple band at 15,000 — 1,350 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-20

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.4%42.0%44.4%9.0% short
Shot accuracy0.6%9.6%11.9%11.3% short
Kill/death ratio1.000.981.030.03 short
Match win rate44.2%43.8%45.2%1.0% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpiTz0r™PREMIER13,650 · 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

Aim71
Positioning81
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateWWLWWWLLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.9pp headshot accuracy · −10ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 19%
  • Avg reaction 503ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

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.

Aim7.1
Utility6.4
Positioning8.1
Opening Duels8.0
Clutch7.0

Effective flashesStrong positioningReliable in 1v1s

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 73% T opening-duel success — entries that actually open the round.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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

Aim7.1
Positioning8.1
Utility6.4
Mechanics4.7
Opening Duels9.2
Win Impact7.2

Composite 6.7/10 (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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time529ms−62ms
first ⅓ avg 591ms → last ⅓ avg 529ms
Headshot accuracy18.7%−2.9%
first ⅓ avg 21.6% → last ⅓ avg 18.7%

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 · 13–11 · anubis, 4 Nov →
40%Best headshot accuracy · 13–4 · dust2, 22 Oct →
391msFastest reaction time · 11–13 · anubis, 29 Oct →
13–1Biggest win · inferno, 29 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
9–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 60% over 15nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
anubisB2110–1148%0.02
dust2C207–1335%0.01
infernoB168–850%0.03
mirageA169–756%0.01
ancientA159–660%0.03
nukeD72–529%0.01
cache—40–40%0.02
train—11–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,372Lifetime kills
1.00K/D · Top 50% of Blue band
6,703Matches
44.2%Match win rate · Top 50% of Blue band
35.4%Headshot %
0.6%Shot accuracy
16,030MVPs
2,676Hours (in match)
7,257Bombs planted
1,375Bombs defused

Most-used weapons

AWP44,655
AK-4716,245
SSG 0813,936
MAC-103,078
MP92,432
HE Grenade1,552

Lifetime map wins

15,212dust2
12,335inferno
4,555nuke
1,590vertigo
826train
56office
35aztec
31dust

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

Faceit stats

Combat

90Matches
43%Win rate
0.80Avg K/D
76.3ADR
35%Headshot %

Clutches & streaks

55%1v1 clutch win
10%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2330%0.6410.1
Anubis2157%1.0413.3
Ancient1547%0.7710.0
Dust21145%0.9915.6
Inferno850%0.7010.8
Nuke650%0.6812.7
Vertigo425%0.548.0
Overpass10%0.578.0

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.

18.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
32.1%Spray accuracy
71.1%Counter-strafing
8.7°Preaim
530msReaction time
73.4%T opening success
63.4%CT opening success
0.76Enemies flashed / flash
7.2%Flash assists
11.50HE damage / grenade
9.56Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–120.1015%4 Nov →
dust213–80.0220%4 Nov →
inferno10–130.0517%4 Nov →
anubis13–110.1420%4 Nov →
nuke16–140.0324%4 Nov →
ancient13–110.0620%4 Nov →
mirage5–13-0.0723%4 Nov →
dust24–13-0.017%3 Nov →
dust211–13-0.039%3 Nov →
mirage13–50.0121%3 Nov →
nuke10–130.0823%3 Nov →
dust213–160.0820%3 Nov →
nuke5–13-0.0213%3 Nov →
train13–50.0029%2 Nov →
anubis6–13-0.026%2 Nov →
dust211–13-0.0123%2 Nov →
inferno13–90.0917%2 Nov →
ancient13–80.1125%2 Nov →
inferno13–110.0517%2 Nov →
mirage13–5-0.0021%2 Nov →
anubis13–80.0516%2 Nov →
dust27–13-0.0223%1 Nov →
inferno10–130.0625%1 Nov →
mirage13–80.1011%1 Nov →
dust213–110.0523%1 Nov →
inferno13–80.0411%1 Nov →
cache8–13-0.0115%1 Nov →
inferno13–80.0514%31 Oct →
dust213–80.1222%31 Oct →
anubis8–130.0722%31 Oct →
ancient13–50.0727%31 Oct →
ancient8–130.0120%31 Oct →
anubis13–10-0.0216%31 Oct →
anubis13–40.0721%31 Oct →
ancient3–130.0312%31 Oct →
ancient5–13-0.087%30 Oct →
anubis11–130.0134%30 Oct →
mirage8–130.0517%30 Oct →
dust211–13-0.0513%30 Oct →
anubis13–7-0.0123%30 Oct →
mirage11–130.0223%30 Oct →
nuke7–13-0.0611%30 Oct →
dust26–13-0.096%29 Oct →
mirage13–110.0215%29 Oct →
inferno11–13-0.0011%29 Oct →
dust28–130.0422%29 Oct →
inferno5–13-0.0020%29 Oct →
mirage2–13-0.1037%29 Oct →
anubis11–13-0.067%29 Oct →
inferno13–10.0924%29 Oct →
inferno13–20.0211%28 Oct →
nuke7–130.0228%28 Oct →
anubis10–130.0119%28 Oct →
dust213–80.1127%28 Oct →
cache6–130.0718%28 Oct →
ancient11–13-0.0123%28 Oct →
anubis16–130.0119%28 Oct →
ancient13–110.0520%27 Oct →
mirage13–60.0836%27 Oct →
nuke13–70.1124%27 Oct →
inferno2–13-0.0617%27 Oct →
cache8–130.0311%27 Oct →
ancient9–130.0313%27 Oct →
mirage13–60.0918%27 Oct →
dust27–130.0416%26 Oct →
anubis0–9-0.0611%26 Oct →
ancient13–10-0.0117%26 Oct →
dust24–13-0.0321%26 Oct →
anubis5–13-0.0526%26 Oct →
dust27–130.0115%26 Oct →
dust23–13-0.0712%26 Oct →
anubis13–100.1228%26 Oct →
inferno2–13-0.046%26 Oct →
mirage5–13-0.0533%25 Oct →
cache6–13-0.0118%24 Oct →
mirage13–80.0518%24 Oct →
mirage13–50.0438%24 Oct →
ancient13–80.0518%24 Oct →
mirage13–80.0617%24 Oct →
ancient13–110.0924%24 Oct →
anubis13–8-0.0919%23 Oct →
dust213–8-0.0027%23 Oct →
anubis14–16-0.0517%23 Oct →
nuke0–13-0.1020%23 Oct →
ancient13–9-0.0014%23 Oct →
inferno3–130.0211%23 Oct →
ancient13–10-0.0414%23 Oct →
mirage7–13-0.0322%23 Oct →
anubis16–130.0721%23 Oct →
inferno6–13-0.0221%23 Oct →
ancient11–130.0125%23 Oct →
anubis7–13-0.0223%22 Oct →
mirage9–13-0.0615%22 Oct →
inferno13–70.1418%22 Oct →
inferno13–60.0537%22 Oct →
dust216–14-0.0133%22 Oct →
anubis9–130.1020%22 Oct →
dust213–40.0540%22 Oct →
dust26–130.0317%22 Oct →
anubis8–130.0124%22 Oct →

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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