ProfessorMeatbal

ProfessorMeatbal — CS2 Stats

76561198139691975[U:1:179426247]Steam profile ↗✓ No bans

856Tracked matches43%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating20,171Top 50% of 205,709 CSDB-tracked playersPink band · top ~8.3% of ranked players (population est.)
CSDB Leaderboard#77874 of 252783 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (3 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.

Rating over time

Premier CS Rating: 20,171 +946 18 Jul – 15 Oct · 41 days played
17,72021,041peak 21,04118 Jul15 Oct
21,041Peak Premier in tracked matches
39Days played since 2026-07-18

Premier CS Rating

  • 870 below peak (21,041)
  • +171 over 30 days · steady
  • +946 over 90 days
  • Next: Red band at 25,000 — 4,829 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-21
  • Purple band first seen 2026-08-29

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

Share this profile

CSDB.GGProfessorMeatbalPREMIER20,171 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning66
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLLWWLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.1pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 531ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 539ms

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 (+0.8 against its own average).

Aim8.2
Utility6.5
Positioning6.6
Opening Duels4.0
Clutch6.0

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 91% playstyle similarity

Most alike: opening-duel success, 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 →

CSDB Rating breakdown

Aim8.2
Positioning6.6
Utility6.5
Mechanics7.1
Opening Duels5.0
Win Impact2.8

Composite 6.7/10 (Solid), 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 rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time532ms−47ms
first ⅓ avg 579ms → last ⅓ avg 532ms
Headshot accuracy16.3%−0.3%
first ⅓ avg 16.6% → last ⅓ avg 16.3%

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

0.21Best match rating · 13–2 · dust2, 6 Sept →
29%Best headshot accuracy · 4–12 · dust2, 25 Jul →
422msFastest reaction time · 9–13 · dust2, 4 Oct →
13–1Biggest win · mirage, 3 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%0.02
mirageA2011–955%0.01
anubisD174–1324%0.01
cacheD124–833%0.03
ancientS97–278%0.03
nukeS86–275%0.05
infernoD50–50%0.00
vertigo—20–20%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

150Matches
57%Win rate
1.47Avg K/D
92.2ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21070%1.2618.5
Mirage1030%1.3020.4
Ancient850%1.9018.4
Nuke450%1.5719.3
Vertigo450%1.7823.8
Anubis333%1.1016.3
Inferno367%1.1317.7
Cache3100%0.9814.7

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.

16.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.9%Spray accuracy
82.0%Counter-strafing
8.1°Preaim
531msReaction time
54.3%T opening success
45.6%CT opening success
0.68Enemies flashed / flash
5.0%Flash assists
6.90HE damage / grenade
11.46Flashes / match

Recommended for you

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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–160.0927%15 Oct →
nuke9–13-0.0212%14 Oct →
dust213–60.0312%12 Oct →
anubis13–11-0.0213%12 Oct →
inferno3–13-0.0118%12 Oct →
dust213–40.0611%6 Oct →
mirage10–13-0.0418%5 Oct →
anubis2–130.0622%5 Oct →
dust29–130.0119%5 Oct →
nuke13–90.0412%4 Oct →
dust213–11-0.0313%4 Oct →
anubis10–130.0121%4 Oct →
dust29–13-0.0122%4 Oct →
cache13–100.1319%4 Oct →
mirage13–40.0917%30 Sept →
anubis10–13-0.0523%30 Sept →
mirage13–110.0017%28 Sept →
inferno5–130.028%28 Sept →
anubis13–70.0619%17 Sept →
anubis9–13-0.006%16 Sept →
mirage13–80.0514%10 Sept →
nuke13–60.0724%9 Sept →
inferno11–130.0318%9 Sept →
ancient13–100.0311%7 Sept →
dust29–13-0.0022%7 Sept →
vertigo4–13-0.0321%6 Sept →
anubis14–160.0411%6 Sept →
dust213–20.2116%6 Sept →
cache4–13-0.0110%5 Sept →
anubis5–13-0.0411%5 Sept →
ancient16–140.0722%31 Aug →
nuke6–130.0417%30 Aug →
mirage13–50.0113%30 Aug →
cache10–13-0.0214%27 Aug →
dust215–15-0.0013%22 Aug →
dust23–13-0.0910%22 Aug →
anubis10–130.0016%22 Aug →
mirage2–13-0.0319%22 Aug →
dust212–120.0216%18 Aug →
dust26–130.0118%17 Aug →
ancient13–40.0620%13 Aug →
nuke13–100.0213%12 Aug →
dust29–13-0.039%12 Aug →
cache8–130.0213%12 Aug →
nuke13–80.1519%11 Aug →
anubis15–150.0312%10 Aug →
cache15–150.0313%9 Aug →
ancient13–70.059%9 Aug →
dust213–100.0012%9 Aug →
dust213–80.0114%9 Aug →
mirage13–100.0113%9 Aug →
anubis14–160.0215%9 Aug →
mirage16–140.0319%5 Aug →
mirage5–13-0.0316%4 Aug →
vertigo7–130.0122%3 Aug →
mirage15–150.0416%3 Aug →
mirage13–1-0.0424%3 Aug →
mirage13–90.0521%2 Aug →
cache13–9-0.0018%2 Aug →
ancient13–110.0323%1 Aug →
mirage8–13-0.0311%1 Aug →
cache13–50.0922%1 Aug →
anubis7–13-0.036%1 Aug →
ancient16–140.0313%30 Jul →
dust210–130.0116%28 Jul →
dust213–60.0118%27 Jul →
mirage0–70.000%27 Jul →
ancient2–130.0222%26 Jul →
mirage13–80.0627%26 Jul →
cache9–130.0418%26 Jul →
dust27–130.0411%26 Jul →
cache5–13-0.0413%26 Jul →
dust213–30.1317%26 Jul →
anubis6–130.0920%25 Jul →
dust211–10.0715%25 Jul →
mirage16–12-0.0125%25 Jul →
mirage11–130.0314%25 Jul →
cache9–130.0026%25 Jul →
anubis13–30.0718%25 Jul →
nuke13–30.1323%25 Jul →
dust26–4-0.0513%25 Jul →
dust213–160.1024%25 Jul →
mirage9–130.0015%25 Jul →
anubis10–130.0515%25 Jul →
dust24–12-0.0329%25 Jul →
cache13–90.0918%23 Jul →
dust213–60.0810%19 Jul →
ancient13–110.0713%19 Jul →
inferno11–13-0.0011%19 Jul →
cache15–150.0211%19 Jul →
mirage13–70.0211%19 Jul →
mirage6–130.0519%19 Jul →
nuke13–11-0.0212%18 Jul →
dust24–130.0114%18 Jul →
ancient15–15-0.0710%18 Jul →
dust22–13-0.0615%18 Jul →
anubis13–6-0.0011%18 Jul →
dust24–13-0.0418%18 Jul →
anubis7–13-0.044%18 Jul →
inferno5–13-0.0326%18 Jul →

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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