Fantasy Footballers - Fantasy Football Podcast

Fantasy Football · Sports

YAPP has Smart‑Skip data for 40 episodes of Fantasy Footballers - Fantasy Football Podcast. Recent episodes average 6.7 minutes of ads per 64‑minute episode.

6.3ad minutes per hourof runtime
10.5%of runtimeis advertising
5.4ad breaksper episode, on average
40episodesmeasured by YAPP

Listen to the good stuff in Fantasy Footballers - Fantasy Football Podcast

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Recent episodes

Ad time detected in the 25 most recent episodes of Fantasy Footballers - Fantasy Football Podcast that YAPP has processed.
Episode Published Length Ad time Breaks
Starts of the Week + Week 3 Games, Tucker 2x4! - Fantasy Football Podcast for 9/24 1:10:17 1:17 3
Unsolved Mysteries + TNF Preview, Trade Decisions - Fantasy Football Podcast for 9/23 55:21 0:36 2
Week 3 Waivers + Someone to Blame - Fantasy Football Podcast for 9/22 52:51 0:20 2
Week 2 Studs & Duds + Trade Drama, Bye Guys! - Fantasy Football Podcast for 9/21 1:11:22 0:53 2
Week 2 Matchups + WHEEL OF SHAME! - Fantasy Football Podcast for 9/18 1:09:19 6:37 9
Starts of the Week + Week 2 Preview, Thanks Khloe! - Fantasy Football Podcast for 9/17 1:12:30 5:26 7
How We Feelin? + TNF Preview, Trade Q's - Fantasy Football Podcast for 9/16 59:40 6:45 7
Week 2 Waivers + Bounce Back or Buns? - Fantasy Football Podcast for 9/15 1:02:37 5:21 5
Week 1 Studs & Duds + Rapid (Over)-Reactions? - Fantasy Football Podcast for 9/14 1:16:21 6:00 4
Week 1 Matchups + Fantasy FACEOFF! - Fantasy Football Podcast for 9/11 1:00:18 6:17 6
Starts of the Week + Week 1 Breakdown, Injury Panic - Fantasy Football Podcast for 9/10 1:11:27 7:02 6
It's FOOTBALL TIME + Super Bowl Picks - Fantasy Football Podcast for 9/9 55:55 9:05 8
Undrafted Gems + ALMOST Football Time! - Fantasy Football Podcast for 9/8 58:34 7:11 7
The Fantasy MVP Episode! - Fantasy Football Podcast for 9/4 1:08:46 6:52 7
FINAL Mock Draft Episode! - Fantasy Football Podcast for 9/3 1:05:19 7:44 6
Players We're Afraid to Be Wrong About - Fantasy Football Podcast for 9/2 1:01:23 7:31 5
Best Offenses Mock Draft + Draft Day Regrets - Fantasy Football Podcast for 9/1 55:16 7:42 6
Jacobs Fallout, Preseason Takeaways + Mailbag - Fantasy Football Podcast for 8/31 56:15 7:10 5
THE MEGALASHOW! Bold Predictions LIVE in PHX - Fantasy Football Podcast for 8/29 1:15:15 4:07 3
Fantasy Time Machine + Jacobs in Jeopardy? - Fantasy Football Podcast for 8/28 47:02 2:46 4
Mock Draft Episode! + Meat Your Maker - Fantasy Football Podcast for 8/27 1:05:25 1:45 5
The 2026 “My Guys” Episode! - Fantasy Football Podcast for 8/26 1:16:03 6:59 6
Stack Attack! + High Risk Picks - Fantasy Football Podcast for 8/25 52:48 0:55 3
Players We’re Embarrassed to Love + Jeanty Madness! - Fantasy Football Podcast for 8/24 58:40 10:02 5
Mock Draft MAYHEM! - Fantasy Football Podcast for 8/21 1:07:12 7:29 8

Ad load varies by listener. Most podcast advertising is dynamically inserted, so figures reflect ad load as observed by YAPP's processing pipeline at the time each episode was fetched, not what any individual listener hears. Methodology

Listening to Fantasy Footballers - Fantasy Football Podcast with YAPP

Fantasy Footballers - Fantasy Football Podcast runs 5.4 ad breaks in a typical episode, so there is a fair amount between you and what you came for. Across the episodes we have processed, that comes to about 6.7 minutes per episode, or 6.3 minutes for every hour of listening.

YAPP maps each episode before you play it, so you get the show and not the rest of it. Because the ads are stitched in per listener, YAPP matches what you are actually hearing rather than replaying a fixed set of timestamps.

How these numbers are measured

YAPP transcribes each episode, classifies advertising segments, and refines their boundaries using audio fingerprinting. Figures cover the 40 episodes of this show that YAPP has processed. Because most podcast ads are dynamically inserted and vary by listener, these figures reflect what our pipeline observed rather than what every listener hears. Full methodology

Boundaries for 15% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.

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