
Hosted by Jon Flynn and Susanne Tedrick
News, interviews and conversations with the greatest minds in Sports Technology. Join us as we tackle some of the coolest topics in Sports Technology ranging from advanced data analytics, driving remote broadcast efficiencies, and more than a few surprises from inside the world of Sports, from the people who run your…
26 episodes · publishes monthly · latest 2023-12-31 · ~42 min/episode
Rank
#1381
Substance
70.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#1381 of 6183
Substance
Top 22%
outscores 78% of the index
Azure for Sports Podcast ranks #1381 on The B2B Podcast Index with a substance score of 70.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and specificity & evidence. Nancy Hensley has genuine seniority - two decades at IBM across data and AI disciplines, then Chief Product and Marketing Officer at STATS Perform - and is a founding practitioner, not a thought-leader-for-hire. However, Mercury 13 has yet to close its first acquisition at time of recording, limiting how much she can speak from executed experience.
Averaged across 1 recently scored episode, with cited evidence.
There are legitimate, non-obvious data points scattered through the episode - revenue structure differences, engagement multipliers, valuation multiples - but they are buried under substantial filler, celebrity tangents, and mutual admiration. The insight-per-minute rate is moderate at best for a 40-minute runtime.
“for men's, like 60% of the revenue stream is broadcast and match day. For the women, 66% of the revenue stream is commercial and prize money”
“players are making $60 a week playing the top tier professional women's football”
The framing of women's football as a 'second mover advantage' and the argument that predictive models should be built from the ground up rather than adapted from men's data are genuinely interesting angles, but the bulk of the conversation is standard 'women's sports is undervalued and brands should pay attention' advocacy without truly contrarian or first-principles reasoning.
“we have this second mover advantage where we can build this differently”
“just taking an existing predictive model and adapting it to women's data is probably not what we want. I think we got to build it differently from the ground up”
Nancy Hensley has genuine seniority - two decades at IBM across data and AI disciplines, then Chief Product and Marketing Officer at STATS Perform - and is a founding practitioner, not a thought-leader-for-hire. However, Mercury 13 has yet to close its first acquisition at time of recording, limiting how much she can speak from executed experience.
“I spent two decades in big tech in IBM, all around data and AI”
“I was the chief product and marketing officer. Got to do some really cool things in terms of really innovating in and around bringing AI into a lot of the capabilities”
The episode offers a reasonable number of concrete figures - Angel City's $180M valuation vs. a $3-4M franchise fee, the 12x multiple on the lowest NWSL team, players earning $60/week - but sources are almost never named, the Taylor Swift GDP figure appears garbled, and the statistics are presented without methodological grounding.
“Their latest valuation was something like 180 million. Their franchise fee a few years ago is 3 or 4 million dollars. That's a pretty good return”
“the lowest team, which I think is my team is still in the 40 million, still had a 12x multiple”
The lead host frequently derails into personal anecdotes, Taylor Swift riffs, and sports-fan reminiscing rather than probing the investment thesis or stress-testing claims; co-host Sierra asks tighter, more substantive questions but still does not push back on any assertion. There is no productive disagreement or challenge anywhere in the episode.
“leaving Taylor aside, and. And we may bring back. Bring Taylor back. And. And obviously, we'll have to talk about, um, Kelsey as well”
“That's so, that's interesting. And, and I'm um, 100 cognizant the fact that we completely glossed over who you are”
First period on the Index - history builds from here.
1 scored on substance · 26 tracked in total.
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