Thanks to some recent data expansions, we have vastly improved the coverage of seasons on our men's college basketball leaderboards on the Sports Reference College Basketball site. This will make the most comprehensive online archive of college basketball statistics even more robust. One thing to note is that in some cases this allows for our leaderboards to be even more comprehensive than what is included in the NCAA Record Book. This is because many schools tracked statistics such as blocks, steals and assists long before they became 'official' NCAA categories. Below is a breakdown of some of these changes.

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With the season concluded, we're pleased to report that we've added 2021 Approximate Value (AV) numbers to the site for all NFL players. Note that these numbers are just provisional right now; the final numbers will be released after the All-Pro teams are announced.

Update: All-Pro teams have since been announced so 2021 Approximate Value has since been finalized.

Josh Allen leads 2021 players with 19 AV, and Justin Herbert, Patrick Mahomes, Cooper Kupp and Micah Parsons close behind at 18. You can see all of the top players in this Stathead.com Player Season Finder search.

Not sure what AV is? To learn more about PFR's attempt to put a single number on each player-season since 1960 (for the purposes of comparing players across position and era), check out this link. Feel free to send us feedback via our site's form.

In a huge addition, we at Hockey-Reference are glad to announce that we now have all NHL regular season box scores available back to the beginning of the NHL, the 1917-18 season. With this, we can now fill out the gamelogs section of many great players' careers. For example, you could now find Bobby Orr and Phil Esposito's excellent 1970-71 seasons when Orr finished with a career high 139 points and Esposito set the then-record of 76 goals in one season. Bernie Parent's 1973-74 season of 12 shutouts can now be examined easily. Gordie Howe's extensive NHL career, beginning with his rookie season in 1946-47, has game logs now.

All of these game logs are also searchable on Stathead now, which is also a great new asset to have. Looking for most goals by a player in a game will now lead you to Joe Malone's record day in 1920, when he scored seven for Quebec in what ended up being a 10-6 victory over the Toronto St. Patricks. While the top of the list of most saves in a shutout doesn't change, Jacques Plante's 52-save shutout in 1955 now properly appears in the top 5 thanks to this addition. We should put a reminder that there are some categories, such as saves and shots against, that were not recorded in the earlier days of the league.

So now there's a lot more history to dig through, and we hope you enjoy our presentation of the "new" box scores! Please let us know if you have any questions or comments.

One important piece to interpreting a sport's history is looking at who the media of the time selected as the top players to award, but you can also get some important context by looking at the other players who were in serious consideration for those awards. With that in mind, we're happy to announce the addition of voting breakdown data for the Associated Press' Most Valuable Player, Offensive and Defensive Player of the Year, Offensive and Defensive Rookie of the Year and Coach of the Year awards. You can find this information in the Football Award Voting Summaries section of our Awards index. Just taking a random example of 1982, you can see Mark Moseley's narrow win over Dan Fouts in the MVP race, as well as Marcus Allen's unanimous OROY win and the runners-up to Lawrence Taylor in the DPOY race.

Having this data also allows us to calculate career Award Shares. For those unfamiliar with the concept, this is the sum of the percentage of maximum votes they received over the course of their career. For example, a unanimous MVP like Lamar Jackson in 2019 gets 1.0 Award Share for that award, while 2016 Matt Ryan got 25 out of the possible 50 votes, so that's 0.5 Award Shares for that win. We have links to the career MVP, OPOY and DPOY award shares leaderboards on our Leaders index. Award shares and rank for each season they received votes will also be available in the Awards and Honors table on player pages, so you can more quickly see that in addition to Aaron Donald's 3 DPOY awards so far, he's also received at least a vote in every DPOY ballot since his sophomore season.

Some coverage notes:

• MVP voting breakdowns available since 1957. 100% complete back to 1986. 1961 and 1975 MVP vote totals still missing. AP did not give out awards in 1960.
• OPOY voting breakdowns available since 1972. 100% complete back to 1986. 1975 and 1985 OPOY vote totals still missing.
• DPOY voting breakdowns available since 1971. 100% complete back to 1988. 1985 DPOY vote totals still missing.

We want to give a big thanks to John Turney who compiled this historical voting data. Turney was also a contributor on the pre-1982 sacks data we announced recently.

If you have any questions, suggestions or even a lead on some of the still-waiting-to-be-discovered vote totals, feel free to contact us via our feedback form.

The WNBA will be entering its 25th season of existence this summer and plans to celebrate the league's storied history. In preparation for this, Basketball-Reference is happy to announce a series of new upgrades to our site's coverage of the WNBA in the past and present.

One of the biggest additions is that we now have play-by-play data for WNBA games back to 2018. This allows for a lot of new features such as:

Quarter and half boxes in box scores
The play-by-play itself, along with a summary of lead changes, scoring droughts and scoring runs
Shot charts for the game, which includes filters by quarter and player
Shooting tables on player pages and league season pages that break down shots attempted and made by distance
Play-by-play tables on player pages and league season pages that detail on/off, turnover types, fouls committed and drawn and more

Other additions include:

A playoffs section: We now have a central playoffs table so you can quickly go through each season's Finals participants as well as postseason top performers in points, rebounds and assists. We also now have playoff summaries for each season that show all the series played in that postseason as well as team playoff stats and postseason individual leaderboards.

Expanded playoff statistics on player pages, including presentation of stats in per-36 minute and per-100 possession formats as well as advanced stats

Improved franchise history pages: Headshots displayed for top-12 in Win Shares in franchise history, additions to season history table such as SRS, pace, and top player in Win Shares. Links added for franchise leaderboards, all players in franchise history, franchise All-Star history, draft history and all-time head-to-head records

Team game logs and team splits pages

Game Highs table on player pages highlighting a player's best single-game performances in each statistic

We're constantly working to improve our coverage of the WNBA and the other leagues we track on Basketball-Reference. If you have any suggestions or feedback, send us your thoughts via our feedback form.

Basketball-Reference has added Triple-Doubles to its leaderboards and player pages. This includes leaderboards for both regular season and postseason, and also franchise leaderboards.

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FBref covers basic and advanced statistics for dozens of domestic leagues around the world, with the English Premier League, Spanish La Liga, German Bundesliga, Italian Serie A and French Ligue 1, commonly referred to as the "Big 5", being the most visited league stat pages. Up to this point, if you wanted to compare statistics between the leagues, you'd need to have a tab open for each one.

That will no longer be as necessary now that FBref has added combined Big 5 stat pages, with a combined league table, leaderboards across the 5 leagues and stat registers that include players who've played in any of the leagues. In the Player Standard Stats section, sorting by G+A-PK per 90 minutes gives you Jadon Sancho (Bundesliga), Kylian Mbappé (Ligue 1) and Lionel Messi (La Liga) at the top this season. In the Squad Goal and Shot Creation section, you can see Bayern Munich and Dortmund are leading all Big 5 teams in Goal Creating Actions per 90 minutes.

Check out our new Combined Big 5 pages and so much more that we offer at FBref! You can keep up with the latest additions of statistical coverage and new features here on the Sports Reference Blog, or by signing up for the This Week in Sports Reference mailing list. Feel free to send us any questions or suggestions through our feedback form or FBref's official Twitter account.

Baseball-Reference's Awards index covers all the major awards MLB has established over the years. In the past, we had some awards combined, such as MVP and Cy Young, on the same page. We've recently made a change to our Awards page so that each award is now given its own table, which allows for providing more statistical context than we previously did in these sections. For example, here's a link to our updated Cy Young Award page; you'll notice that you can now sort by the different basic pitching stats, if you wanted to take a quick glance at highest ERA (LaMarr Hoyt in 1983) or most innings pitched (Steve Carlton in 1972).

Take a look at our Awards index and scroll through the pages of baseball history at Baseball-Reference.com! Please let us know if you have any comments, questions or concerns.

As we approach the beginning of the 2020 season, we have made some updates to our Wins Above Replacement calculations.  You may notice some small changes to figures as you browse the site. As always, you can find full details on how we calculate WAR here.

Defensive Runs Saved Changes

Last week, we updated Defensive Runs Saved (DRS) totals across the site with new figures from Baseball Info Solutions.  The new methodology involves breaking down infielder defense using the PART system - assigning run values to Positioning, Air Balls, Range, and Throwing.  Under the new system, an infielder’s total DRS is the sum of his Air Balls, Range, and Throwing runs saved, while Positioning runs saved are credited to the team as a whole.  You can read more about the updates in the Sports Info Solutions blog.  The PART system applies to all infielders since 2013.

Folding these numbers into WAR, we see some significant changes for individual player seasons.  The 2019 Oakland A’s get even more recognition for defense on the left side of their infield, with shortstop Marcus Semien gaining 0.7 WAR and third baseman Matt Chapman gaining 1.6 WAR from the new DRS numbers, lifting both players above Mike Trout and into second and third place respectively on the 2019 AL WAR leaderboard.  Chapman’s 1.6 additional WAR represents the largest single-season change in this update.

On the other end of the spectrum, we see Adrian Beltre with the most significant drop in this update, losing 1.5 WAR in 2015.

Since we use DRS to measure the quality of a team’s defense, these new values also impact pitcher WAR values.  Team total DRS changed by as much as 46 runs for a given team and season - the 2019 Dodgers defense improved from 75 DRS to 121 DRS by non-pitchers under the new system.  Once applied to a specific pitcher, however, the changes to WAR are much smaller in magnitude than the changes to individual fielders. The most extreme example is Hyun-Jin Ryu, who pitched 182.2 innings in front of the 2019 Dodgers defense.  Considering the Dodgers defense to be 46 runs better across the entire season, and considering that Ryu was the pitcher for 13.52% of the Dodgers’ balls in play in 2019, we adjust our expected runs allowed for Ryu by 6.2 runs for the season. After following the rest of the steps in our pitching WAR calculation, the end result is a drop of 0.3 WAR for the season.  All other changes to pitching WAR from this change to team defense are smaller than Ryu’s 0.3 WAR drop in 2019.

Park Factors

Park factors for 2018 have been re-computed to include the 2019 season, since WAR uses a three-year average for park factors when computing pitching WAR.  The most significant change here is the Miami Marlins, whose pitching park factor rose from 90 to 95 (where <100 represents a pitcher’s park and >100 represents a hitter’s park).  José Ureña sees the biggest benefit from this, with his 2018 WAR rising by 0.7 wins. All other changes to pitching WAR from updated park factors are smaller than Ureña’s 0.7 WAR gain in 2018.

New Game Logs from Retrosheet (1904-1907)

Last month, we updated the site with new data from Retrosheet, including new game logs for players from 1904 to 1907.  Having game-level data allows us to be more precise in our WAR calculations, since we can consider the specific ballparks a pitcher played in and the opponents he faced.

Take Christy Mathewson in 1907 as an example.  Prior to this change, we used the league average (excluding his team) of 3.36 runs per nine innings as the expected quality of his opposition.  However, with game-level data, we can see that Mathewson’s actual opponents averaged 3.55 runs per nine innings, showing that Mathewson was probably used strategically and started more games against better opponents.  Indeed, Mathewson pitched in 10 of the Giants’ 22 games against the league’s best offense, the Pirates, as well as 7 of the Giants’ 22 games against the Cubs, the NL’s second-best offense. Against the Dodgers and Cardinals, who each struggled offensively and scored fewer than 3 runs per game, Mathewson pitched in just 8 games total.

Knowing this about his usage, we can set more accurate expectations for how many runs an average player would have allowed under Mathewson’s circumstances.  By adjusting the quality of his opposition, we expect an average pitcher to have allowed about 7 more runs over the course of the season, resulting in a bump of 0.9 WAR in 1907.  All other changes to pitching WAR from new game log data are smaller than Mathewson’s 0.9 WAR gain in 1907.

Baserunning and Double Plays from Play-by-Play Data (1931-1947)

When calculating runs from baserunning and double plays, we use play-by-play data from seasons where it is complete enough to credit players for things like scoring from first on a double, advancing from first to third on a single, and hitting into fewer double plays than expected.

In the past, we have taken play-by-play data into account back to 1948 for baserunning and double plays, because the data further back than that has been incomplete and could give players an advantage in their WAR simply by having more complete play-by-play records than their peers.  As this data has become more complete over time, we have moved this cutoff back to 1931. The data is still somewhat sparse for games that took place during World War II (1943-45), but we felt it was worth including those years as well.

Pete Reiser of the Brooklyn Dodgers was skilled at taking extra bases, and it showed in the play-by-play accounts.  In 1942, he took extra bases at a rate of 55%, compared to the league average of 45%. Additionally, the Dodgers were tied with the Cardinals as the league’s top scoring offense, so Reiser had many opportunities to put his speed to use.  He scored from first on doubles a league-leading ten times in just 15 opportunities, and also scored from second on a single 24 times, good for 5th in the NL that year, in just 29 opportunities. Using this play-by-play data while computing WAR gives Reiser an additional 1.2 WAR in 1942.  All other changes to batting WAR from this change are smaller than Reiser’s 1.2 WAR gain in 1942.

Caught Stealing Totals from Game Logs (1926-1940)

When crediting runners for how many runs they contributed with their baserunning, we take into account their stolen base and caught stealing totals.  Caught stealing totals are missing for many players between 1926 and 1940, but we have complete game logs for players in that span.

In the past, when we didn’t have a caught stealing total for a player, we would estimate how many times they were likely to have been caught stealing based on the league’s stolen base success rate and the ways the player reached base during the season.

We are now using actual caught stealing totals from the players’ game logs, so there are some changes for players who did considerably better or worse than we had been estimating.

Take, for example, Freddie Lindstrom.  In 1928, the Giants third baseman stole 15 bases, but his official season stat line does not have caught stealing available.  Previously, we had estimated that he was caught stealing 11.57 times, based on everything else we knew about his performance and the league he played in.  However, game logs indicate that Lindstrom was caught 21 times, nearly twice as often as we had estimated. This difference gets folded into our baserunning runs calculation and results in a drop of 0.4 WAR.  All other changes to batting WAR from this change are smaller than Lindstrom’s 0.4 WAR drop in 1928.

Biggest Career Movers

Hall of Famer Ernie Lombardi sees the biggest change to his career WAR with this update, sinking from 46.8 WAR to 39.5 WAR, a drop of 7.3 wins.  The largest gain goes to infielder Lonny Frey, who picks up 5.2 wins. Both these players played in the 1930s and 1940s and saw big changes because of their baserunning.  Lombardi is known for being one of the slowest runners in baseball history, and this update shows that the numbers back that reputation. Frey was a fast runner in an era where stolen bases were rare, so he has been underrated to this point when it comes to his baserunning contributions.

On the mound, previously cited Hall of Famer Christy Mathewson is the big winner.  As discussed above, his WAR now recognizes how his manager would use him against tougher opponents, and he sees his career WAR jump by 2.2 wins.  Barney Pelty experiences the biggest drop of 1.9 wins.

We’ve highlighted some of the more extreme changes here, but to see full lists of the largest changes to season and career WAR totals, please see the spreadsheet here.

We're very excited about these new additions and hope you enjoy them as well. Thanks to Baseball Info Solutions for their contributions. Please let us know if you have any comments, questions or concerns.

Basketball-Reference has added a section to team pages that displays what players on the team finished in the top 20 of league leaderboards in various statistical categories. This section is found near the bottom of team pages, and is useful if you want a quick view of which players on the team were best in the league in a certain field. For example, the 2018-19 Golden State Warriors section will show you Kevin Durant and Stephen Curry's appearances on many leaderboards, with cameos from Klay Thompson, Draymond Green and Kevon Looney. A more stark example of a single-player dominated team would be the 2002-03 Minnesota Timberwolves, where Kevin Garnett was the lone Timberwolves player to appear in the top 10's of most of the league leaderboards, aside from stray appearances by Rasho Nesterovic and Troy Hudson.

Keep an eye on our Sports Reference Blog for more announcements of added features to Basketball-Reference! If you have any questions or suggestions, feel free to contact us through our feedback form.