Starting My Match Stats Deep Dive
So today I decided to dig into Flamengo versus Boa Vista matchup stats for my blog, honestly thinking it’d be straightforward. Grabbed my laptop around coffee time, fired up the usual football databases I trust. First shocker? Finding head-to-head records took way longer than expected – these teams barely play each other!
Started scribbling notes as I scanned through seasons:
- First had to filter Brazil’s lower league seasons where they actually faced off
- Spotted only 3 proper clashes in the last decade – what a nightmare sample size!
- Dug into regional championships too when I hit dead ends
Crunching Those Pesky Numbers
Frustration kicked in when modern stats didn’t exist for older matches. Wanted xG and shot counts? Forget it! Ended up manually calculating:
Goals per game averages became my life for 20 mins. Pulled goal counts from match reports, divided by fixtures played. Simple math but tedious as hell when you’re cross-referencing 3 sources per game. The 2017 draw kept tripping me up cause nobody recorded possession stats!
Made myself a trashy spreadsheet when notebook scribbles got messy:
- Color-coded Flamengo wins red (which was almost always)
- Noticed Boa Vista’s single victory happened during monsoon season – interesting!
- Total goals column showed wild swings from 1 to 5 per match
Spotting Patterns Like a Detective
Here’s where it got juicy – noticed Flamengo always plays them at home in August. Checked weather reports and bam! High humidity during their last 8-goal thriller. Betting sites mention this constantly but seeing it in the data felt like cracking a code.
Biggest realization?These stats barely tell half the story. That 5-0 Flamengo win? Key players were injured. That 0-0 snoozefest? Both teams rested starters. Almost chucked my laptop when I found that crucial footnote buried in forum posts 2 hours in.
Wrapping Up This Stats Safari
Ended my research sprint around sunset, staring at this messy collage of notebooks and browser tabs. Key takeaway? Historical stats for lopsided matchups are like Swiss cheese – full of holes. Still slapped together a mini-report for my blog with giant disclaimers about the tiny data pool.
Final verdict for fellow stats hunters: Lower league head-to-heads need triple verification. Always chase context behind numbers. And maybe set timer reminders to eat lunch because I totally forgot during that 4-hour rabbit hole.
