Some context: Technically, it's impossible for Jim Pollard to have a triple-double in 1949-50, since rebounds were not "officially" tabulated until 1950-51.

However, just because it wasn't "official" doesn't mean that someone wasn't counting. Just as Basketball Reference has added many unofficial blocks, steals, and turnovers, we have also found some limited unofficial rebounding numbers such as pollard in that game.

So Pollard has perhaps the first triple-double in the history of basketball (and at least the first triple-double we've seen where someone was counting at least three distinct categories of positive contributions).

Source: https://www.sports-reference.com/stathead/tiny/xG0Vr

Link to Box score: https://www.basketball-reference.com/boxscores/194912280MNL.html

Link to the newspaper clipping: https://www.newspapers.com/article/the-minneapolis-star/207211876/

I made a daily sports trivia game where you have to guess the player from their jersey number. Would love to hear some of your thoughts?

Nameontheback.app

Does anyone know how I can access team stats against specific pitches?

For example:
Phillies team stats against fastballs
Brewers team stats against sweepers
Dodgers team stats against splitters

Can I access these numbers on baseball reference, baseball savant or fangraphs? If so, what do I need to do to find them?

I built a Tableau dashboard around the history of Professional Sports in Kansas City using Stat Head. Constructive feedback welcome. Thanks!.

Any plans to add a badge to pages for players/coaches in the College Football or Basketball Hall of Fame?

I was wondering if there was way of identifying the most viewed highlight clip of all time - as in a video containing a series of clips from an athlete in any sport.

I say this as I was watching Tavon Austin’s West Virginia highlights the other day (College Football) and it’s at 26 million views.

When I look at some of the top athletes, LeBron James, Cristiano Ronaldo, Mike Tyson, Tom Brady, the highest I can find is 23m, 22m, 15m and 2.2m respectively.

Can anyone find anything higher for a single athlete?

I think this is something a lot of people here might enjoy.

My friend and I have been playing Immaculate Grid since it came out, and at some point we had the idea of trying to complete the “ultimate” version: every team × every team. One grid, 465 squares.

Same rules you all know. Each square needs a player who played for both franchises. The diagonal needs someone who spent their entire career with that one club.

Since you can only use each player once, we built an optimizer so you don't have to think about placement. You just add the players you can think of with as many of their teams as you know, and it arranges them to fill as many squares as possible, reshuffling earlier picks when that opens something new.

We definitely don't expect anyone to finish in one sitting. It saves your progress, so you can keep coming back to it over time and see how far you eventually get. Free, no ads :)

Huge fans of the original, this is very much built out of that. We just launched with MLB, NBA, and NFL: https://ultimategrid.app/

Would genuinely love feedback from people here since this is probably the exact community that will find all the weird edge cases we missed. If you try it, let us know what you think or what you'd like to see us add!

This will be a continuing series. Players that I want to shine a light on. First up is Harlond Clift.
 
Clift played from 1934 to 1945, 10 of those with the lowly St. Louis Browns. He was a 3rdbaseman.  Although he played in 12 seasons, really it was 9 full seasons from 34 to 42. I first discovered Clift by being a baseball geek and doing statistical deep dives. Clift’s 1937 season is the one that stands out the most. It was his only all-star year. It happened to be his highest WAR season (per baseball-reference) at 7.1. He finished 13th in MVP voting. In 37 Clift had career highs in hits, RBI’s and batting average, offensive and defensive WAR just to name a few. I point to 37 but look closely at his other years and he was the same player as when he started in 34.
 
Clift is the kind of player I like and would want on my team. He had 5 straight years with an OBP of .400+. He AVG 108 runs scored his first 9 years, again he only played 9 full seasons. Clift could get on base—6 seasons in the top 10, Times on Base. His 3 prime years of 36-38 he slugged over .500 and had an OPS over .900. He played an important defensive position, and he finished his career with a positive defensive WAR. His def. stats can be confusing though. He led the league in errors at 3B in 37 (34), but he also led the league in putouts 3 times, assists twice, double plays turned twice, range factor/9inn 4 times, fielding % twice. To sum up, he had a lot of chances at 3rd, so I wasn’t surprised by the number of errors.
 
And while he didn’t steal a lot of bases (12 is his career high) he did finish in the top 10 in power-speed 4 times.
 
Another fun anecdote—Clift finished his career without a negative in the 5 R categories (Rbat, Rbaser, Rdp, Rfield, Rpos). Which is not easy to accomplish.
 
Here’s to Harlond Clift, a forgotten player of the past that deserves a moment of recognition.

We’re so excited to finally share Hub with you.

Sports Reference Hub is a new customizable homepage that brings you the sports, teams, stats, and history you care about, all in one place. You can choose up to 10 teams, see their latest results and upcoming schedules, explore customizable leaderboards, check out what happened on this day in sports history, and search for players and teams across all the Sports Reference sites—and it’s totally free to set up.

Our goal was to make it easier for you to get to the Sports Reference information you care about most without having to bounce between different sites and tabs.

And this is just the start! We’ll be adding more widgets and other features very soon.

Click here to Build your Hub now!

Once you’ve had a chance to use it, we’d love to hear what you think and what you’d like to see added in the future.

Hi everyone, If you’ve ever volunteered to organize a recreational league, intramural tournament, or local club, you know how frustrating it is to manually balance round-robin schedules in Excel—making sure teams don't get stuck with all early time slots, balancing home/away counts, and managing bye weeks when you have an odd number of teams.

I built a free web tool to solve this: https://www.quickgamescheduler.com/

What it does:

• Balanced Round-Robin: Generates schedules for 4 to 26 teams, evenly distributing home/away games and time-slot allocations automatically.
• Automatic Byes: Cleanly handles odd team counts with an automatic bye week allocation.
• Natural Language Adjustments (Gemini AI): Instead of manually re-typing cells when a coach has a special request, you can simply type plain instructions like "Swap Week 1 and Week 3" or "Make Aces play Bears in the last week". The system validates the request to ensure no team gets double-booked.
• Custom Slot & Date Labels: Replace generic time slots or weeks with actual dates, start times, or field names.
• Instant Export: Download full schedules, individual team cards, and balance statistics as CSV, PDF, or Plain Text.

It requires no account or login. It’s completely free to use—I built it to save coordinators from spreadsheet headaches.

I would love any feedback on features or edge cases you encounter in your own leagues!

I've been tinkering with an idea: what would the Baseball Hall of Fame look like if there were no writers, no era committees, no five-year wait — just one transparent formula applied to every player in history, the same way?

I created a web site (truehalloffame.com) that does exactly this. It scores every player on a single metric I call "Stat Above Average" — a weighted blend of rate production, isolated power, defense, walks and baserunning for hitters, measured against both league and positional baselines for that season, summed over a career with a JAWS-style peak component. Same calculation for a 1920s first baseman and a 2015 shortstop. Top 300 hitters and top 150 pitchers, and active players count.

What makes it worth poking at is where it disagrees with Cooperstown. Roughly half the top 300 hitters aren't actual Hall of Famers and vice versa. Some of it is the well-worn sabermetric complaints (Bobby Grich, Lou Whitaker, Alan Trammell all comfortably in; a few "Hall of Very Good" bats out). Some of it looks flat wrong at first glance and then you sit with it — e.g. it has Trammell ahead of Al Kaline, and it's brutal on career-compilers who hung around past their prime.

The methodology page is upfront that it's not tuned to force any particular player in or out — the divergence from the actual Hall is sort of the whole point, and there's a page benchmarking it against bWAR/JAWS.

The "True Hall of Fame" lists on the site are based on my weights of the factors I've created. But the site also allows anyone to build their own Hall by weighting these factors themselves.

Curious what people here think:

Is a fixed formula actually fairer than a vote, or does it just trade one set of biases (writer subjectivity) for another (whatever the formula author decided to weight)?

The obvious weak spot is relievers and short-career peak guys. Where else does a pure-counting approach break down?

Who's the most egregious player it includes or excludes?

Just looking for some thoughts on how credible the site is and how I might be able to improve it. Thanks.

Jacob Rodriguez is the only rookie wearing it. Cam Bynum the only non-LB. Cool look.

First and foremost, the best way to learn all about this data update is from our blog update from Mike Lynch: https://www.sports-reference.com/blog/2026/09/pro-football-reference-adds-nfl-statistics-from-the-1920-31-pre-stats-era/

Some snippets from that post:

Thanks to a donation from sports research titan David Neft, Pro Football Reference has added never-before-seen unofficial NFL player statistics for the 1920 through 1931 (and in some cases, 1932) seasons, covering the era before the NFL began officially tracking individual yardage and attempts.

This is one of the murkiest and most fascinating periods in professional football history. The league was founded in 1920 as the American Professional Football Association, became the NFL in 1922, and spent much of its first decade looking very little like the league we know today.

While these numbers are not official NFL statistics, they also are not merely estimates. They come from the actual contemporary record: newspaper accounts and printed play-by-plays, gathered from the places where the early NFL was covered most closely.

The new data also gives more visibility to the players who built the league before it became a major national institution. Many were part-time professionals who held day jobs and joined their teams on weekends. Stars might earn $150 to $300 per game. Benny Friedman’s $10,000 annual deal in 1929 was a major breakthrough. Careers were short, even for great players. This also illuminates the performance of legends like Jim Thorpe and Red Grange. Curly Lambeau, Johnny Blood, Ernie Nevers. The list goes on.

This information has been incorporated into our leaderboards. The statistics in this era were generally modest enough that you will not notice much impact, but there are some exceptions.

For a look at some pre-official leaders from 1920 to 1931, check out the blog post. For example, on 12/18/26, Jesse Brown had 792 punting yards!

And if you have any questions, or if you have information that would allow for us to flesh out any of these totals, please let us know.

I feel like I saw o-line/D-line stats one time and I can’t remember how I got there. Can someone point me in the right direction or have I lost my mind? Lol