We found 39 YouTube channels similar to We Love Stats
Shares a strong audience with We Love Stats on Olympic-related searches (100% search match) and similarly emphasizes sport statistics and medal data, though Olympics curates a much broader, globally flagship content style (87% overall match with 79% content similarity).
Attraction is driven by hockey-related queries (39% search match) and content overlap in hockey statistics, yielding a moderate overall similarity (58%), with a notable content focus on league-specific stats despite lower search alignment.
Targets Olympic medalists and grand slam statistics, aligning with We Love Stats on high-value sports statistics searches (27% search) and strong content overlap (78%), resulting in a mid-range overall similarity (57%).
Appeals to sports records and hockey wins queries (28% search) and provides sports statistics content, producing moderate overall similarity (56%) with higher content alignment (74%) despite modest search overlap.
Covers world records and head-to-head sports comparisons (32% search) with substantial sports statistics content (71%), giving a mid-level similarity (55%) driven by both topical searches and broad record-focused content.
Focuses on season point leaders, aligning with We Love Stats on sports stat tracking (9% search) but with very high content similarity (85%), yielding a mid-level overall match (55%) dominated by content alignment over user searches.
33 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 53% | McKay Johns | 65% | 24.8K | 34% | 11 |
| #8 | 52% | DataYT | 76% | 15.4K | 15% | 5 |
| #9 | 52% | We Love Tennis | 77% | 14.7K | 13% | 5 |
| #10 | 51% | Ian Gunther | 75% | 2.1M | 14% | 6 |
| #11 | 50% | NHL ▶ | 70% | 2.7M | 20% | 5 |
| #12 | 49% | Global Stats ▶ | 74% | 294K | 13% | 3 |
| #13 | 47% | Wave of Trend | 71% | 2.0M | 11% | 2 |
| #14 | 47% | NBA Today | 73% | 14.6K | 7% | 1 |
| #15 | 46% | Max Klymenko | 69% | 4.0M | 13% | 2 |
| #16 | 46% | TRACE Sport Stars | 72% | 29.1K | 7% | 1 |
| #17 | 45% | FOOTBOX | 69% | 1.1M | 10% | 2 |
| #18 | 45% | Factual Animation - Ultimate Football Stats Channel | 70% | 135K | 9% | 2 |
| #19 | 45% | WatchMojo.com ▶ | 63% | 25.9M | 19% | 3 |
| #20 | 45% | Som D'hoquei | 68% | 20.3K | 9% | 1 |
| #21 | 44% | The Hockey Guy ▶ | 69% | 377K | 7% | 1 |
| #22 | 44% | Imperial Statistics | 67% | 82.8K | 9% | 2 |
| #23 | 44% | Tennis Channel | 68% | 232K | 8% | 2 |
| #24 | 44% | DAZN SPORT | 66% | 1.7M | 10% | 2 |
| #25 | 44% | The Long Play | 68% | 145K | 7% | 4 |
| #26 | 44% | Math And Maticians | 67% | 2.1K | 9% | 1 |
| #27 | 44% | NBA ▶ | 68% | 24M | 7% | 1 |
| #28 | 43% | The Economist | 64% | 3.9M | 12% | 4 |
| #29 | 43% | LengthsOfLife | 66% | 1.9K | 9% | 3 |
| #30 | 42% | Whistle ▶ | 64% | 3.2M | 9% | 1 |
| #31 | 42% | Bloomberg Originals | 63% | 5.0M | 10% | 3 |
| #32 | 40% | xisumavoid | 62% | 1.9M | 8% | 2 |
| #33 | 40% | Tifo Football by The Athletic ▶ | 59% | 1.8M | 10% | 4 |
| #34 | 39% | ProjectManager ▶ | 61% | 426K | 7% | 1 |
| #35 | 39% | bookandtable | 59% | 3.9K | 9% | 3 |
| #36 | 38% | VICE Sports | 58% | 1.1M | 9% | 1 |
| #37 | 38% | Into the West | 58% | 5.5K | 7% | 1 |
| #38 | 38% | Bleacher Report ▶ | 58% | 4.8M | 7% | 5 |
| #39 | 37% | Google Search Central ▶ | 57% | 774K | 7% | 1 |
Olympics — 87% match, 16.5M subscribers; Champions Hockey League — 58% match, 38.1K subscribers; Elite Ranking — 57% match, 86K subscribers. All three have high overlap in data, statistics, and ranking content, focusing on sports statistics and sports-related rankings similar to We Love Stats.
We Love Stats creates data-driven videos focused on statistics, rankings, and visualization, including bar chart races and top country lists. They produce videos such as 'All Men''s Figure Skating Olympic Medalists', 'Every Olympic Ladies' Figure Skating Medalist', and 'Athletes with the Most Medals in Winter Olympics', with an average of about 42.8K views per video and approximately 3.2 uploads per week.
We analyze We Love Stats's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
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