PizzeH

PizzeH — CS2 Stats

GB76561198076762767[U:1:116497039]Steam profile ↗✓ No bans

922Tracked matches69%Win rate2020Tracked since
3,867Hours in CS
CSDB Rating6.1 SolidSupport
CSDB Leaderboard#88553 of 251512 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,571 -877 6 Dec – 1 Mar · 9 days played
19,51221,341peak 21,3416 Dec1 Mar
21,650Peak Premier in tracked matches
40Days played since 2023-03-21

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 9 among CSDB-tracked players (n=14,591), 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 9 medianLevel 10 medianvs Level 10
Headshot rate42.8%48.2%50.9%8.1% short
Shot accuracy21.5%13.3%13.7%above
Kill/death ratio1.041.071.090.05 short
Match win rate39.2%46.9%48.4%9.2% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPizzeHFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning29
Utility66

0–100 skill scores via Leetify.

Recent form

COLD55–35–10Last 10055%Win rateLLLLWLTTWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.6pp headshot accuracy · +173ms 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 -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 755ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 754ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 668ms

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 (+2.7 against its own average).

Aim7.0
Utility6.6
Positioning2.9
Opening Duels2.3

Excellent counter-strafingLimited utility dependence

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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 678ms 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

Aim7.0
Positioning2.9
Utility6.6
Mechanics8.9
Opening Duels1.3
Win Impact10.0

Composite 6.1/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time661ms+61ms
first ⅓ avg 600ms → last ⅓ avg 661ms
Headshot accuracy21.8%+7.3%
first ⅓ avg 14.5% → last ⅓ avg 21.8%

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

0.18Best match rating · 9–1 · inferno, 2 Feb →
57%Best headshot accuracy · 13–7 · nuke, 17 Feb →
438msFastest reaction time · 4–9 · inferno, 18 Feb →
13–1Biggest win · inferno, 2 Feb →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L4Current streak
4–4In matches decided by ≤2 rounds
37Overtime games

Map breakdown

ancientBest map · 83% over 12infernoWeakest map · 43% over 30
MapGradePlayedRecordWin rateAvg rating
infernoC3013–1743%-0.02
mirageB147–750%-0.01
nukeS128–467%0.00
overpassB126–650%-0.03
ancientS1210–283%-0.02
vertigoC94–544%-0.02
anubisA74–357%0.00
dust2—32–167%0.00
cache—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 30). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

198,628Lifetime kills
1.04K/D
8,390Matches
39.2%Match win rate
42.8%Headshot %
21.5%Shot accuracy · Top 5% of Level 9 players
22,521MVPs
3,867Hours (in match)
6,333Bombs planted
2,707Bombs defused

Most-used weapons

AK-4755,822
AWP42,843
SSG 086,643
P2504,470
Knife3,745
UMP-453,265

Lifetime map wins

25,307dust2
13,041inferno
1,585train
1,457nuke
1,025cbble
838vertigo
130office
92lake

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

Faceit stats

Combat

879Matches
52%Win rate
1.06Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.8313.0
Nuke10%0.539.0
Anubis10%0.7112.0
Inferno10%0.386.0

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.

20.3%Headshot accuracy
36.0%Accuracy (enemy spotted)
31.1%Spray accuracy
90.2%Counter-strafing
9.8°Preaim
678msReaction time
0.0%T opening success
40.5%CT opening success
0.46Enemies flashed / flash
6.0%Flash assists
16.31HE damage / grenade
3.11Flashes / 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 0.4592 — 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 0% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo4–9-0.1224%28 Apr →
inferno7–9-0.0919%6 Apr →
mirage0–13-0.070%17 Mar →
nuke6–13-0.057%3 Mar →
vertigo9–30.0333%3 Mar →
mirage6–13-0.0613%2 Mar →
vertigo8–8-0.0316%1 Mar →
overpass15–15-0.0223%1 Mar →
inferno13–20.0433%1 Mar →
dust213–8-0.0313%25 Feb →
nuke4–13-0.137%24 Feb →
ancient13–5-0.0225%24 Feb →
anubis13–30.0718%18 Feb →
inferno13–6-0.0128%18 Feb →
dust213–30.0745%18 Feb →
overpass9–13-0.0715%18 Feb →
inferno4–9-0.1527%18 Feb →
nuke8–8-0.0018%18 Feb →
overpass13–10-0.0720%18 Feb →
mirage7–130.0113%17 Feb →
nuke7–20.0150%17 Feb →
nuke13–70.0357%17 Feb →
inferno13–40.0518%17 Feb →
mirage11–13-0.0519%17 Feb →
ancient13–8-0.0916%17 Feb →
vertigo13–40.0431%17 Feb →
mirage13–2-0.029%17 Feb →
inferno13–40.0313%17 Feb →
overpass13–100.0013%17 Feb →
overpass13–40.0417%16 Feb →
inferno5–13-0.069%16 Feb →
nuke13–20.1129%16 Feb →
inferno2–9-0.1342%11 Feb →
vertigo8–8-0.076%11 Feb →
anubis13–40.0118%3 Feb →
inferno10–13-0.0417%3 Feb →
nuke13–20.0222%2 Feb →
inferno13–10.1529%2 Feb →
inferno9–10.1835%2 Feb →
mirage11–13-0.0214%20 Jan →
anubis6–13-0.0229%20 Jan →
ancient13–50.014%20 Jan →
inferno12–10.0428%20 Jan →
anubis13–2-0.0214%20 Jan →
vertigo13–80.0320%20 Jan →
ancient13–9-0.0131%20 Jan →
nuke13–50.0417%20 Jan →
mirage13–60.026%20 Jan →
ancient13–2-0.0421%20 Jan →
ancient13–7-0.0127%1 Jan →
anubis13–40.0423%1 Jan →
anubis6–13-0.0920%7 Dec →
inferno9–13-0.1012%7 Dec →
inferno3–13-0.0813%6 Dec →
inferno13–10-0.0812%6 Dec →
ancient13–80.0116%6 Dec →
ancient13–30.0312%6 Dec →
mirage13–110.0014%17 Nov →
overpass5–13-0.088%17 Nov →
inferno13–10-0.0615%10 Nov →
vertigo13–8-0.0314%10 Nov →
ancient16–50.0018%3 Aug →
ancient8–16-0.0624%24 Jul →
inferno16–10-0.0221%22 Jul →
inferno8–16-0.0425%15 Jul →
inferno15–15-0.0418%2 Jul →
inferno13–16-0.0216%26 Jun →
mirage16–60.0717%26 Jun →
overpass16–10-0.0120%26 Jun →
inferno5–16-0.0315%22 Jun →
vertigo8–16-0.0321%22 Jun →
inferno9–16-0.0716%20 Jun →
ancient16–11-0.0112%20 Jun →
mirage16–120.0226%18 Jun →
inferno5–16-0.017%18 Jun →
overpass4–16-0.0618%18 Jun →
mirage9–6-0.0025%18 Jun →
nuke11–16-0.029%8 May →
vertigo15–15-0.0310%8 May →
mirage12–160.0222%2 May →
inferno16–80.0115%29 Apr →
inferno16–50.017%26 Apr →
nuke16–7-0.0012%26 Apr →
cache16–14-0.0314%22 Apr →
inferno5–16-0.0520%22 Apr →
overpass15–15-0.0211%15 Apr →
ancient4–16-0.059%15 Apr →
mirage16–12-0.0317%29 Mar →
nuke16–14-0.0114%29 Mar →
overpass16–120.0410%29 Mar →
inferno16–40.0613%29 Mar →
overpass10–16-0.115%28 Mar →
inferno14–16-0.0013%28 Mar →
overpass16–140.016%23 Mar →
nuke16–70.0412%23 Mar →
anubis12–160.0416%23 Mar →
inferno4–9-0.0125%22 Mar →
mirage8–8-0.049%22 Mar →
inferno15–150.017%21 Mar →
dust215–15-0.0226%21 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
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.