Pizza

Pizza — CS2 Stats

76561198120380119[U:1:160114391]Steam profile ↗✓ No bans

1,257Tracked matches67%Win rate2022Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating21,898Top 50% of 206,528 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#56071 of 253926 tracked
FaceitLevel 8 · 1,655 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+264Premier CS Rating · 21,634 → 21,898

Rating over time

Premier CS Rating: 21,898 +4,065 20 May – 19 Oct · 3 days played
17,83321,898peak 21,89820 May19 Oct
Faceit ELO: 1,655 +0 31 Aug – 20 Sept · 2 observations
1,6551,655peak 1,65531 Aug20 Sept
21,898Peak Premier in tracked matches
1,655Highest Faceit ELO seen on CSDB
67Days played since 2026-05-12

Faceit ELO

  • At peak — 1,655
  • Next: Level 9 at 1,751 — 96 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-31
  • Level 7 first seen 2026-08-31

Premier CS Rating

  • At peak — 21,898
  • Next: Red band at 25,000 — 3,102 to go
  • Reached: Pink band · 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. 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.

Share this profile

CSDB.GGPizzaFACEITLevel 8 · 1,655 ELOSTANDINGTop 31.2% of rankedPREMIER21,898 · Pink bandPEAK ELO1,655csdb.gg/stats

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Performance scores

Aim81
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateWLWWWWLWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +0.2pp headshot accuracy · −25ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 547ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 549ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 562ms

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 Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.1
Utility6.0
Positioning6.6
Opening Duels4.5
Clutch3.0

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

donk

Plays most like donk 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 563ms 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

Aim8.1
Positioning6.6
Utility6.0
Mechanics6.4
Opening Duels7.6
Win Impact10.0

Composite 7.5/10 (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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time567ms−28ms
first ⅓ avg 595ms → last ⅓ avg 567ms
Headshot accuracy21.3%+2.9%
first ⅓ avg 18.4% → last ⅓ avg 21.3%

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 · 13–2 · anubis, 29 Aug →
43%Best headshot accuracy · 2–13 · cache, 19 Sept →
406msFastest reaction time · 6–13 · anubis, 5 Jun →
13–2Biggest win · vertigo, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
18–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.01
dust2C2310–1343%-0.00
anubisA149–564%0.02
cacheB137–654%0.01
nukeS108–280%0.02
ancientC83–538%-0.02
infernoB63–350%0.01
vertigo—11–0100%0.05
overpass—11–0100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

702Matches
50%Win rate
1.11Avg K/D
83.1ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage22647%1.0215.4
Dust214546%1.1117.6
Anubis7549%1.1616.7
Inferno7256%1.1816.9
Nuke6260%1.2517.8
Ancient3650%1.1116.7
Cache3355%1.1115.6
Vertigo2556%1.1818.8

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.

21.7%Headshot accuracy
37.5%Accuracy (enemy spotted)
36.8%Spray accuracy
79.0%Counter-strafing
8.6°Preaim
563msReaction time
64.5%T opening success
56.1%CT opening success
0.62Enemies flashed / flash
10.4%Flash assists
6.77HE damage / grenade
11.74Flashes / 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0331%19 Oct →
ancient3–13-0.0622%19 Oct →
mirage13–10-0.039%17 Oct →
mirage13–11-0.0520%16 Oct →
mirage13–110.0124%16 Oct →
mirage13–110.0119%16 Oct →
cache9–13-0.0120%14 Oct →
dust216–140.0520%13 Oct →
anubis13–100.1217%11 Oct →
nuke13–10-0.0025%11 Oct →
cache10–13-0.0323%10 Oct →
dust25–13-0.0214%9 Oct →
nuke9–10.0616%7 Oct →
dust29–13-0.0323%4 Oct →
nuke13–70.028%4 Oct →
dust213–11-0.0025%4 Oct →
cache13–50.0426%2 Oct →
dust27–13-0.0218%1 Oct →
cache13–110.0242%27 Sept →
vertigo13–20.0511%27 Sept →
mirage10–130.0029%26 Sept →
dust213–5-0.0218%26 Sept →
cache6–130.0022%25 Sept →
cache13–70.0516%23 Sept →
mirage13–60.0413%23 Sept →
mirage13–110.0411%21 Sept →
ancient13–10-0.0123%21 Sept →
cache13–9-0.0022%21 Sept →
dust211–130.0426%20 Sept →
cache2–13-0.0343%19 Sept →
dust213–60.0729%19 Sept →
nuke13–90.0223%19 Sept →
dust23–13-0.0715%18 Sept →
inferno6–13-0.0812%17 Sept →
mirage4–13-0.0911%17 Sept →
mirage13–16-0.0319%14 Sept →
cache13–7-0.0018%11 Sept →
mirage6–13-0.0539%11 Sept →
cache13–110.0013%11 Sept →
dust28–130.0213%10 Sept →
nuke13–100.0119%8 Sept →
nuke13–10-0.0215%7 Sept →
ancient10–130.0111%7 Sept →
mirage13–11-0.0611%7 Sept →
mirage10–130.0331%1 Sept →
mirage10–13-0.0614%31 Aug →
anubis13–20.1417%29 Aug →
cache8–130.0416%26 Aug →
inferno8–130.0343%26 Aug →
dust26–130.0219%24 Aug →
mirage7–13-0.0416%7 Aug →
mirage0–13-0.0817%4 Aug →
anubis13–40.0331%28 Jul →
mirage16–14-0.0222%21 Jul →
dust25–13-0.0225%16 Jul →
mirage13–9-0.0535%14 Jul →
anubis8–13-0.0019%12 Jul →
dust213–80.018%12 Jul →
anubis7–13-0.0543%10 Jul →
mirage3–130.0113%8 Jul →
dust25–13-0.0420%7 Jul →
anubis13–110.0025%5 Jul →
ancient10–130.0323%4 Jul →
nuke10–130.0320%30 Jun →
mirage13–110.0417%29 Jun →
mirage19–17-0.0323%24 Jun →
dust210–13-0.0413%23 Jun →
nuke13–160.0725%21 Jun →
dust213–60.0626%19 Jun →
dust29–13-0.0123%18 Jun →
dust28–13-0.0413%17 Jun →
anubis13–60.0221%17 Jun →
anubis4–13-0.0418%16 Jun →
dust213–11-0.0312%10 Jun →
dust29–13-0.0224%9 Jun →
ancient13–30.0213%8 Jun →
dust216–140.0114%7 Jun →
anubis13–7-0.0114%7 Jun →
nuke13–8-0.0221%7 Jun →
anubis13–110.0517%7 Jun →
ancient16–14-0.0120%5 Jun →
anubis6–13-0.0214%5 Jun →
mirage6–130.0325%30 May →
overpass19–160.0010%27 May →
inferno13–90.0330%24 May →
inferno16–190.0115%21 May →
nuke13–90.0614%20 May →
ancient1–13-0.1211%20 May →
anubis13–8-0.029%20 May →
mirage11–13-0.0222%18 May →
anubis7–130.0024%18 May →
ancient7–130.0021%18 May →
inferno13–100.0223%17 May →
dust219–160.0418%14 May →
mirage15–15-0.0021%14 May →
anubis13–110.0122%13 May →
cache13–7-0.0016%13 May →
cache14–160.0113%12 May →
dust213–9-0.0219%12 May →
mirage13–50.0315%12 May →

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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