Pizza Parlor

Pizza Parlor — CS2 Stats

76561198363867988[U:1:403602260]Steam profile ↗✓ No bans

526Tracked matches45%Win rate2022Tracked since
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating3,303Grey band · top ~86% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 20 Feb 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,303 -1,397 20 Feb14 Sept · 12 days played
2,6544,999peak 4,99920 Feb14 Sept
4,999Peak Premier in tracked matches
52Days played since 2024-02-20

Premier CS Rating

  • 1,696 below peak (4,999)
  • Next: Light Blue band at 5,000 1,697 to go

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

Share this profile

CSDB.GGPizza ParlorFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,303 · Grey bandcsdb.gg/stats

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Performance scores

Aim65
Positioning45
Utility30

0–100 skill scores via Leetify.

Recent form

HOT34597Last 10034%Win rateWWWWWWWLLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · +38ms reaction

Win rate up 50pp 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

  • 50 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 603ms

Last 10

  • 82 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 615ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim6.5
Utility3.0
Positioning4.5
Opening Duels1.8

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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 46% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim6.5
Positioning4.5
Utility3.0
Mechanics6.8
Opening Duels1.9
Win Impact3.3

Composite 4.4/10 (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 rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time637ms−65ms
first ⅓ avg 701ms → last ⅓ avg 637ms
Headshot accuracy17.6%+4.2%
first ⅓ avg 13.4% → last ⅓ avg 17.6%

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 · 10–13 · mirage, 18 Aug
34%Best headshot accuracy · 7–13 · nuke, 11 Aug
438msFastest reaction time · 1–13 · ancient, 31 Jul
13–1Biggest win · nuke, 4 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
35In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 56% over 16vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD2371630%-0.01
nukeC2081240%0.01
dust2A169756%-0.00
ancientD124833%-0.03
infernoD113827%-0.02
anubisC52340%-0.04
vertigoD5050%-0.01
cache31233%-0.00
overpass2020%-0.03
train1010%-0.03
assembly1010%-0.23
memento1010%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
22%Win rate
0.51Avg K/D
ADR
31%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

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.

17.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.1%Spray accuracy
80.6%Counter-strafing
10.7°Preaim
630msReaction time
16.1%T opening success
45.6%CT opening success
0.42Enemies flashed / flash
2.9%Flash assists
6.49HE damage / grenade
6.10Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4233 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 16.0772% — below the 40% mark we flag

Spend your practice time on Vertigo

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0010%14 Sept
dust213–50.0422%13 Sept
nuke13–10.0716%4 Sept
mirage13–90.1123%25 Aug
nuke13–70.0322%24 Aug
anubis16–14-0.017%24 Aug
ancient13–100.0119%24 Aug
mirage9–13-0.048%24 Aug
dust25–13-0.0315%24 Aug
dust213–30.0821%24 Aug
dust213–10.0211%24 Aug
nuke13–70.0827%20 Aug
ancient13–100.0110%19 Aug
dust28–13-0.0911%19 Aug
dust23–13-0.0723%18 Aug
mirage10–130.1621%18 Aug
mirage2–130.0019%17 Aug
nuke8–130.0116%17 Aug
cache2–13-0.0519%17 Aug
nuke7–130.0412%17 Aug
ancient8–13-0.0633%17 Aug
cache13–70.0123%17 Aug
dust213–1-0.0121%17 Aug
anubis3–13-0.115%17 Aug
cache13–160.0315%17 Aug
inferno6–13-0.0621%17 Aug
mirage10–13-0.0126%17 Aug
mirage9–130.0819%17 Aug
ancient7–13-0.0025%17 Aug
ancient15–15-0.0522%16 Aug
mirage13–100.0513%16 Aug
mirage13–16-0.0416%16 Aug
anubis3–130.0513%16 Aug
mirage10–13-0.0311%16 Aug
nuke8–13-0.0125%16 Aug
inferno10–8-0.117%11 Aug
nuke7–130.0934%11 Aug
nuke13–30.017%7 Aug
dust212–12-0.0416%1 Aug
inferno4–00.0419%1 Aug
ancient11–13-0.027%1 Aug
nuke7–13-0.0619%31 Jul
mirage15–150.0410%31 Jul
ancient6–13-0.0213%31 Jul
ancient1–13-0.1110%31 Jul
dust211–13-0.0113%31 Jul
inferno1–13-0.0626%8 Jul
mirage0–13-0.0421%6 Jul
nuke13–40.0917%6 Jul
inferno7–13-0.0110%6 Jul
mirage3–13-0.0213%6 Jul
nuke16–130.027%6 Jul
nuke13–50.000%5 Jul
nuke5–13-0.117%5 Jul
vertigo7–13-0.0115%3 Jul
inferno6–13-0.059%2 Jul
mirage1–13-0.0517%2 Jul
nuke12–120.0210%24 Jun
dust213–80.0515%24 Jun
vertigo7–13-0.0114%13 Apr
ancient14–16-0.122%21 Feb
anubis13–10-0.0811%31 Jan
ancient13–70.018%31 Jan
dust213–100.0413%24 Jan
anubis15–15-0.0212%23 Jan
mirage13–8-0.0215%23 Jan
nuke13–80.0312%12 Jan
mirage5–13-0.0318%29 Dec
nuke8–8-0.059%29 Dec
inferno9–130.0817%17 Dec
overpass1–13-0.0321%15 Dec
nuke9–130.0113%12 Dec
mirage13–70.0322%12 Dec
overpass10–13-0.0315%12 Dec
inferno13–90.0821%11 Dec
mirage5–13-0.170%26 Oct
ancient7–13-0.0612%8 Sept
nuke3–13-0.0212%8 Sept
nuke9–13-0.0714%9 May
inferno11–13-0.0515%18 Feb
train7–13-0.0310%17 Feb
nuke8–13-0.024%16 Feb
mirage2–13-0.1011%15 Feb
inferno15–150.0114%12 Feb
vertigo8–13-0.0231%23 Jan
dust29–130.0113%20 Jan
mirage1–13-0.0610%5 Sept
assembly3–9-0.238%2 Aug
memento4–9-0.048%1 Aug
dust211–13-0.0417%10 Jun
dust213–8-0.0313%4 Jun
mirage9–13-0.0410%4 Jun
vertigo1–9-0.0229%31 May
dust213–10-0.066%31 May
inferno4–13-0.1313%30 May
mirage13–100.0211%30 May
dust213–50.1018%29 May
mirage13–60.0713%1 Apr
mirage16–13-0.067%15 Mar
vertigo12–160.018%20 Feb

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 →