FBref carries a wide array of advanced stats powered by Statsbomb to help give you all the needed context and analyze a player's performance from as many angles as possible. You can look through our blog's FBref tag for a look at the most recent additions we've made to the site, and today we have another mass addition of advanced stats you can now access on player pages. Here's the list:

Passing

- Total distance of completed passes
- Progressive distance of completed passes (distance toward goal)
- Progressive Passes

Pass Types

- live-ball, dead-ball, under pressure
- corner kick types (in-swinging, out-swinging, straight)
- pass height (ground, low, high)
- by body part (left/right foot, head, throw-ins, other)
- pass outcomes (completed, offsides, out of bounds, intercepted, blocked)

Goal and Shot Creation

- Goal Creating Actions (GCA) and Shot Creating Actions (SCA), meaning the two offensive leading to a shot or goal. This includes live-ball passes, dead-ball passes, successful dribbles, shots which lead to another shot, and being fouled

Defensive Actions

- tackles by location on pitch
- pressures, successful pressures, pressures by location on pitch
- blocks (shots, shots saved, and passes)
- clearances
- errors leading to an opponent's shot

Possession

- touches, touches by location on pitch
- carries (total and progressive distance)
- pass receiving (targets and completions)
- miscontrols and dispossessions

Miscellaneous

- Aerials won/lost

From league pages, these stats can be accessed by using the Squad & Player Stats tab between Scores/Fixtures and Nationalities. Of course, you can also see this on player pages if they've played in competitions we have xG data for.

We're excited to see what analysis people can derive from this new information, which is available thanks to the hard work of Statsbomb. 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.

In 2019 Pro-Football-Reference added advanced statistics provided by Sportradar such as air yards, yards after contact, drops, and passer rating allowed among others. We have those available at the season level on player pages, as well as on the game level within box scores. We have now added advanced game logs, accessible from player pages, so you can see an individual's advanced stats at the single-game level.

Here are links to some examples:

Aaron Rodgers

Christian McCaffrey

Richard Sherman

If you have any questions or suggestions, feel free to contact us through our feedback form or Pro Football Reference's official Twitter account. Thanks for following us!

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 is now utilizing BPM 2.0, an improved version of Box Plus-Minus. Like the original BPM, BPM 2.0 is a statistic created by Daniel Myers which aims to estimate a player's performance relative to league average by using a player's box score information and his team's overall performance. On the site, BPM 2.0 will appear just as BPM did. On player pages it can be found in 'Advanced' section with columns dedicated to OBPM (Offensive Box Plus-Minus), DBPM, (Defensive Box-Plus Minus), BPM (Box Plus-Minus) and VORP (Value Over Replacement Player). OBPM and DBPM, when summed, equal BPM. They are all rate stats. VORP is a counting stat since its inputs are BPM and playing time. As before, these statistics are all available back to the 1973-74 season (though we're hopeful to eventually extend the measure back to 1951), when critical statistics such as blocked shots, steals and offensive/defensive rebounds were first officially tracked. For the nitty-gritty details on BPM 2.0, please see Daniel Myers's explainer.

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As part of our partnership with StatsBomb, FBref continues to incorporate more advanced statistics for players in the major international leagues. Additions have included expected goals, passing data and plus/minus, which you can read more about in this blog post. We have now added post-shot expected goals for goalkeepers, which uses expected goals on on-target shots to measure the shot-stopping ability of goalkeepers.

This information is available in competitions' advanced goalkeeping page. For example, here is a link to the advanced goalkeeping table for the 2019-20 English Premier League. You can read FBref's xG explainer as well as Statsbomb's PSxG explainer for more information on how these figures are calculated.

You can keep up with the latest additions of competitions 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.

Earlier this season we announced our partnership with Sportradar to bring advanced offensive statistics to Pro Football Reference. We are happy to announce that for the 2019 season and beyond, we have now added additional advanced passing statistics to help provide context and key breakdowns for the quarterbacks around the league.

We can use MVP candidate Lamar Jackson as an example of the new statistics provided in the Advanced Passing table of quarterback pages. In the Accuracy tab, you'll now see batted passes and spikes in addition to previously added stats such as throwaways and bad throws. We also show passes on target and on target percentage, which ignores spikes and throwaways. Jackson has a 75.4 on target percentage in 2019.

In the Pressure tab of the Advanced Passing table, in addition to previously provided stats such as times blitzed, times hit, and scrambles, we also have pocket time for 2019. Jackson in 2019 has had on average 2.6 seconds in the pocket between the snap and throwing the ball or pressure collapsing the pocket.

In the Play Type tab of the Advanced Passing table, we provide breakdowns for run-pass option plays and play-action situations. Jackson has run 106 RPO plays this season, passing on 51 and rushing on his own for 52 of them. Jackson has run 87 play-action plays, throwing for 559 yards on those plays.

Finally, we already provided air yards information, but in order to paint a more complete picture we are now showing both intended air yards, which includes all pass attempts, and completed air yards. That information is displayed in the dedicated Air Yards tab of the Advanced Passing table.

In addition to displaying this information at the individual level, we have also implemented this tabbed approach on the team advanced stats page. As a team, the Saints lead the league in on target percentage at 81.9%. In terms of pocket time, the Chargers, Chiefs and Bengals trail with just an average of 2.2 seconds. Unsurprisingly, the Ravens and Cardinals have both run over 150 RPO plays, while no other team has even 100.

If you have any questions or suggestions, feel free to contact us through our feedback form or Pro Football Reference's official Twitter account. Thanks for following PFR!

As part of our partnership with StatsBomb, FBref has made more advanced statistics available for players in the major international leagues. We launched expected goals data a couple of weeks ago, and you can read more in depth about the process that goes into calculating those figures at our xG explainer page.

A more recent big addition to the advanced stats we carry is a new Passing table, which tracks total number of passes attempted and completed, as well as a breakdown by pass distance. Other passing information includes key passes (passes that directly lead to a shot attempt), breakdown of left-footed and right-footed passes, through balls, and passes that enter the third of the pitch closest to the goal. In the 2018-19 UEFA Champions League, among players with at least 150 long pass attempts (25+ yards), only Sergio Busquets of Barcelona and Manuel Akanji successfully completed 90% of their long passes.

A new Playing Time table includes basic stats such as minutes per match as well as breakdowns by starts and substitutions. For seasons where we have match reports, we are also able to display points earned in standings per match played, goals scored and allowed by team while the player is on the pitch, and a plus/minus stat using that information. For example, in the 2018-19 English Premier League, Virgil van Dijk and Aymeric Laporte were tied for the league lead among non-goalkeepers in plus/minus, with their teams scoring 67 more goals than their opponents when they were on the pitch.

We have also added a Miscellaneous table that provides season-level statistics we were already providing in match reports such as fouls committed and drawn, offsides, crosses, tackles and interceptions. In 2019 Major League Soccer, Jorge Moreira of Portland led the league with 69 tackles. Zlatan Ibrahimović led the league in offsides committed, 15 more than 2nd place Sam Johnson.

You can keep up with the latest additions of competitions 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.

Last month on the Sports Reference Blog we posted about the addition of advanced statistics at the individual level on offense and defense for 2018 and 2019. We've followed up on that addition and also calculated those advanced statistics at the team level and made season tables to make league-wide comparisons easier. You can find team advanced offensive statistics by going to the Other tab on the league season page and clicking on the Advanced Stats link. Here's a link to 2019 team advanced offensive statistics.

Team advanced defensive statistics can be accessed by going to the main Team Defense page, which is linked in the Defensive Stats tab of the league season page. Here's a direct link to the Team Advanced Defense table for 2019. Some team statistics we include here that aren't currently calculated at the individual level include blitz rate (blitzes per dropback), QB knockdown rate (knockdowns per pass attempt) and pressure rate (pressures per dropback).

Also, we were already including advanced offensive stats at the game level in box scores, but we've also recently added advanced defensive stats in box scores as well. For example, here's a link to the Advanced Defense table for the Chiefs-Colts Week 5 matchup. A reminder that advanced statistics across the site don't fully update until the Wednesday morning following the weekend's games.

We are continuing to expand our statistical coverage for recent seasons, so we're always open to feedback on how to best serve what you most want to know. If you have any questions or suggestions, feel free to contact us through our feedback form or Pro Football Reference's official Twitter account. Thanks for following PFR!

At the beginning of the 2019 season, Pro Football Reference announced the addition of advanced offensive statistics, provided by Sportradar, the NFL's exclusive distributor for official real-time scores, player statistics and play-by-play data. This week, we have also incorporated advanced defensive statistics from Sportradar. These stats include:

* Times targeted as a defender
* Receiving yards per reception allowed
* Completion percentage and passer rating allowed on targets
* Average depth of target as a defender
* Yards after catch allowed
* Times brought on a QB blitz
* QB pressures (hurries + knockdowns + sack plays)
* Missed tackles

We've added these statistics to 2018 players and will be updating them for 2019 as well. These statistics are provided via game charting and will be populated by the Wednesday following completion of the game, if not earlier. If you have any questions or suggestions, feel free to contact us through our feedback form or Pro Football Reference's official Twitter account. Thanks for following PFR!

In a huge addition for 2019, Pro Football Reference will now be bringing you advanced stats provided by Sportradar, the NFL's exclusive distributor for official real-time scores, player statistics and play-by-play data. In addition to the usual stat coverage you've come to expect from us, we're adding:

* Air yards passing and receiving - indicating how far a pass traveled in the air before it was caught.
* Yards after catch - receiving yards minus air yards, how far a receiver ran after catching the ball
* Receiving drops - receptions missed on balls given a reasonable (non-Odell Beckham-level) effort
* Bad throws by QBs - throws that weren't catchable with normal effort
* Times QBs were blitzed - either 5+ players rushed the QB or a DB rushed the QB
* Times QBs were hurried - defined as a situation when the QB is forced to throw the ball earlier than intended or is chased around/out of the pocket as the result of defensive pressure
* Times QBs were hit - occurs when the QB hits the ground after a throw, not marked on a sack play
* Quarterback scrambles and yards on scrambles (vs. designed quarterback runs)
* Yards before and after contact - defined as the number of yards gained after first contact from a defender
* Broken tackles, both rushing and receiving - the number of times that the runner does something significant to get past/through a defender

We've added these stats to the 2018 passing, rushing, and receiving pages, as well as on player pages and team pages and will be updating them on 2019 pages as soon as games start. These stats are provided via game charting and will be fully populated by the Wednesday following completion of the game, if not earlier. Look for more stat additions as the season continues!