# Archive for the 'Announcement' Category

## SV%+ Is Now GA%-

17th October 2013

After the introduction of SV%+ to goalie stats a little over a week ago, there was some discussion as to whether or not it was the best way to represent goals allowed relative to league average. After reviewing some poll results, we've decided to change things up a bit and switch the representation to Goals Allowed %- (the minus because lower is better). The formula is now 100*((1-player save %)/(1-league average save %)) -- this means that Semyon Varlamov, who currently has the best save percentage in the league at .965 (vs. league average of about .913), gets a 40 GA%- &emdash; on a per-shot basis, he allows goals at 40% of the league average rate. Conversely, Martin Biron has allowed 9 goals on 38 shots, which gives him a GA%- of 273 (yikes). This works out better for us because goalies who have not allowed a goal will get a 0 GA%- instead of getting an undefined value as they would have in the old system.

Posted in Announcement, Hockey-Reference.com | 3 Comments »

## Stat Questions: Team Passing Yards vs Individual Passing Yards

16th October 2013

This is a question we get ALL the time... In fact, it's come up twice in my inbox over the last 2 days:

"How is a total of -11 (-1 Dallas and -10 Green Bay) passing yards figured in the Oct 24, 1965 game when Individual stats show Craig Morton for 61 yards and Bart Starr for 42 yards?"

"This query should return this game [...] Elvis Grbac threw for 504 yards, and the Raiders scored 49 points. That game was not returned by the query[.]"

In both cases, it's a question of individual passing totals seemingly not matching up to team totals. And that's because the NFL doesn't define "passing yards" in the same way for teams as it does for individuals.

Confusingly, sack yards do not count against the "passing yards" you see listed next to individual players, but they do count against "passing yards" at the team level. To put it another way, individual passing yards are always presented as GROSS yards (with sack yards not subtracted out), while team passing yards are always presented as NET yards (meaning sack yards are subtracted out).

So despite Morton & Starr's combined GROSS pass yards, there were also 114 combined sack yards in that game, leading to a record -11 total combined NET passing yards in the game. And despite Grbac's 504 GROSS pass yards, he was sacked 4 times for 30 yards, meaning KC only had 474 NET passing yards in the game.

This probably doesn't make a great deal of sense in 2013, but it does come in handy for years before QB sack data was tracked (a.k.a. the history of football up until 1969). Because of this practice, we know how many gross yards a quarterback -- and, therefore, a team -- had, as well as how many net yards they had, since sack totals were recorded for teams (but not players) before 1969. It would make for even more confusion if, starting in 1969, we all of a sudden began defining yardage for individuals differently than it had been defined in the past (though as we saw yesterday, this didn't stop the NBA from abruptly changing how team rebound totals were defined).

So it's a minor inconvenience now, but probably a necessary one from an historical perspective. And hopefully this post will reduce some of the confusion going forward (though I doubt it).

Posted in Announcement, Pro-Football-Reference.com, Stat Questions, Trivia | Comments Off on Stat Questions: Team Passing Yards vs Individual Passing Yards

## Added Advanced Stats to NBA Playoff Series Pages

16th October 2013

Just a quick note that our NBA Playoff Series pages now have advanced stats tables, so you can learn that, for instance, Chris Andersen and Chauncey Billups both had Offensive Ratings north of 150 in this 2009 playoff series.

We also added Four Factors tables to the series summary pages, wherein you'll find nuggets like Phoenix's ridiculous 122.7 team Offensive Rating against the Warriors in this 1994 series. Enjoy!

## Stat Questions: Why Do Pre-1970s Team Rebound Totals Not Match the Sums of Individual Players?

15th October 2013

Recently, a BBR user posed a question we get on occasion:

"[I] noticed that the team rebound totals for every team appear to be incorrect from 1956-57 to 1967-68. They are correct in 1968-69. For example in 1956-57 it shows the Celtics led the league in rebounds with 4963. When you add up the rebounds for every player on their roster the total comes to 4578. The points and assists totals match exactly. [...] It is only the rebound total that is off, and it is off for every team by a significant margin."

He's right -- you can see this by adding up the team rebound totals for each league-season and comparing it to the sum of individual player rebounds... It changes around 1968:

```+---------+-------+----------+------------+
| year_id | lg_id | team_trb | player_trb |
+---------+-------+----------+------------+
|    2013 | NBA   |   103575 |     103575 |
|    2012 | NBA   |    83513 |      83513 |
|    2011 | NBA   |   101816 |     101816 |
|    2010 | NBA   |   102640 |     102640 |
|    2009 | NBA   |   101586 |     101586 |
|    2008 | NBA   |   103271 |     103271 |
|    2007 | NBA   |   100994 |     100994 |
|    2006 | NBA   |   100754 |     100754 |
|    2005 | NBA   |   102970 |     102970 |
|    2004 | NBA   |   100361 |     100361 |
|    2003 | NBA   |   100604 |     100604 |
|    2002 | NBA   |   100829 |     100829 |
|    2001 | NBA   |   100988 |     100988 |
|    2000 | NBA   |   102062 |     102062 |
|    1999 | NBA   |    60395 |      60395 |
|    1998 | NBA   |    98798 |      98798 |
|    1997 | NBA   |    97703 |      97703 |
|    1996 | NBA   |    98099 |      98099 |
|    1995 | NBA   |    92006 |      92006 |
|    1994 | NBA   |    95192 |      95192 |
|    1993 | NBA   |    95504 |      95504 |
|    1992 | NBA   |    96680 |      96680 |
|    1991 | NBA   |    95776 |      95776 |
|    1990 | NBA   |    95518 |      95518 |
|    1989 | NBA   |    90031 |      90031 |
|    1988 | NBA   |    81828 |      81828 |
|    1987 | NBA   |    83020 |      83020 |
|    1986 | NBA   |    82161 |      82161 |
|    1985 | NBA   |    82008 |      82008 |
|    1984 | NBA   |    81150 |      81150 |
|    1983 | NBA   |    83853 |      83853 |
|    1982 | NBA   |    81987 |      81987 |
|    1981 | NBA   |    82010 |      82010 |
|    1980 | NBA   |    81065 |      81065 |
|    1979 | NBA   |    81564 |      81564 |
|    1978 | NBA   |    84984 |      84984 |
|    1977 | NBA   |    84886 |      84886 |
|    1976 | NBA   |    69960 |      69960 |
|    1976 | ABA   |    30815 |      30815 |
|    1975 | NBA   |    69468 |      69468 |
|    1975 | ABA   |    40239 |      40239 |
|    1974 | NBA   |    67230 |      67230 |
|    1974 | ABA   |    40705 |      40705 |
|    1973 | NBA   |    70555 |      70555 |
|    1973 | ABA   |    41062 |      41062 |
|    1972 | NBA   |    71299 |      71299 |
|    1972 | ABA   |    48429 |      48429 |
|    1971 | NBA   |    74059 |      74059 |
|    1971 | ABA   |    50234 |      50234 |
|    1970 | NBA   |    60697 |      60697 |
|    1970 | ABA   |    49991 |      49991 |
|    1969 | NBA   |    65324 |      65324 |
|    1969 | ABA   |    46674 |      46674 |
|    1968 | NBA   |    65166 |      56999 |
|    1968 | ABA   |    46957 |      46957 |
|    1967 | NBA   |    54536 |      48095 |
|    1966 | NBA   |    49118 |      43250 |
|    1965 | NBA   |    48433 |      42563 |
|    1964 | NBA   |    47423 |      41894 |
|    1963 | NBA   |    48044 |      41418 |
|    1962 | NBA   |    51415 |      43183 |
|    1961 | NBA   |    46314 |      40732 |
|    1960 | NBA   |    44104 |      37401 |
|    1959 | NBA   |    40343 |      34794 |
|    1958 | NBA   |    41279 |      35814 |
|    1957 | NBA   |    35948 |      32136 |
|    1956 | NBA   |    34616 |      31395 |
|    1955 | NBA   |    32292 |      28777 |
|    1954 | NBA   |    32987 |      29808 |
|    1953 | NBA   |    36168 |      32314 |
|    1952 | NBA   |    35977 |      31209 |
|    1951 | NBA   |    35019 |      30621 |
+---------+-------+----------+------------+```

So what's the deal? Is this a bug in our database?

Actually, no. It's just a matter of accounting by the official scorer, because technically speaking, for every missed shot there has to be a rebound.

Starting in 1968-69 (1967-68 in the ABA), so-called "team" rebounds (rebounds where there was no clear individual who should receive credit) were no longer counted toward a team's overall rebounding total. Before that, "team rebounds" were credited at the team level, but they (obviously) didn't make it into individual rebounding totals. This is what caused the massive discrepancies between teams' rebounds and the sum of their individual players' rebounds.

Nowadays, those "team rebounds" are thrown into their own bucket, neither allocated to individuals nor to teams for the purpose of overall stat totals.

Mystery solved!

## Grand Slams with 4 Pitchers Receiving Earned Runs

14th October 2013

Last night's Ortiz Grand Slam was the first in the postseason and 8th time in the RetroSheet canon (but probably overall) that four pitchers received earned runs on one play.

```| game_id      | result_batter | batting_team_id | pitching_team_id | event_text           | home      | first     | second    | third     |
+--------------+---------------+-----------------+------------------+----------------------+-----------+-----------+-----------+-----------+
| BOS201310130 | ortizda01     | BOS             | DET              | HR/9/L9D.3-H;2-H;1-H | benoijo01 | albural01 | smylydr01 | verasjo01 |
+--------------+---------------+-----------------+------------------+----------------------+-----------+-----------+-----------+-----------+
+--------------+---------------+-----------------+------------------+-------------------------+-----------+-----------+-----------+-----------+
| game_id      | result_batter | batting_team_id | pitching_team_id | event_text              | home      | first     | second    | third     |
+--------------+---------------+-----------------+------------------+-------------------------+-----------+-----------+-----------+-----------+
| MIN196107041 | becquju01     | MIN             | CHW              | HR/9D.3-H;2-H;1-H       | hackewa02 | baumafr01 | kemmeru01 | piercbi02 |
| SEA198208060 | jacksre01     | CAL             | SEA              | HR/9.3-H;2-H;1-H        | vandeed01 | stantmi01 | anderla02 | bannifl01 |
| DET198307100 | parrila02     | DET             | OAK              | HR/7.3-H(UR);2-H;1-H    | jonesje01 | beardda01 | burgmto01 | codirch01 |
| SFN198709200 | esaskni01     | CIN             | SFG              | HR/7D.3-H;2-H;1-H       | perlmjo01 | leffecr01 | downske01 | robindo01 |
| SEA198805060 | sheripa01     | DET             | SEA              | HR/9.3-H;2-H;1-H        | jacksmi02 | solanju01 | powelde01 | mooremi01 |
| SDN200109010 | lankfra01     | SDP             | ARI              | HR/89.3-H;2-H;1-H       | kimby01   | sabeler01 | knotter01 | batismi01 |
| LAN200410020 | finlest01     | LAD             | SFG              | HR/89/F.3-H;2-H(UR);1-H | frankwa01 | hergema01 | chrisja01 | hermadu01 |
```

## Subscribe to the Play Index!

11th October 2013

With the League Championship Series starting tonight, it's time to check out the Baseball-Reference Play Index if you haven't already signed up. What's the Play Index? It's a set of research tools that allow you to create customizable queries on our database, save the results, and share them with others. Using the PI, you can:

• Search full-season or multi-year totals to find your own custom leaderboards - Look at the entire history of baseball from 1871-2012 with every year, team, and position available, or filter the results in a vast number of ways: by specific years, by age, by first six seasons or last ten seasons, by American League only, by Cubs only, by switch-hitters, by catchers, by outfielder or infielder, by year of debut, but active or retired, by Hall of Famer, by height and weight, by living or deceased, or by a range of common statistical categories. Then sort the results by any common statistic, by the teams with the most players matching that category, by players with the most seasons matching that category, or by most recent, youngest, oldest, final year, or year of debut, and others.
• Search player game totals - Filtering on any of a dozen or more choices, search for games on a single player level, or on any batter from 1916-2012, or on any pitcher. The same can be done for Team Batting or Team Pitching Totals.
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• Search the records of a specific player - Output a detailed summary and play-by-play list of all events of a specific type from a single year or an entire career. For example, you can see all of Harmon Killebrew's triples or even his outs to the second baseman.
• Search Batter vs. Pitcher Matchups - This tool presents a complete sortable list of batter or pitcher with totals for every opponent they faced by career or by year. Clicking on the player's name will lead you to a detailed output of their head-to-head plate appearances.
• ...And more!

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So go ahead, give the Play Index a try -- we're confident that once you start using it, you'll wonder how you ever got along without it.

Posted in Announcement, Baseball-Reference.com, Play Index | Comments Off on Subscribe to the Play Index!

## SV%+ Calculation Poll

10th October 2013

In case you missed it yesterday, we rolled out a couple of new goaltending stats for the 2014 season -- Save Percentage+ and Goals Saved Above Average. Overnight we got some feedback about SV%+ in particular, and the structure of having 1 minus the goalie's own SV% in the denominator of the formula. Right now, we are measuring the rate at which the league allowed more goals than the player, where 100 = average. So in the case of a 133 SV%+, the league's rate of goals allowed per shot would be 33% higher than the player's rate.

There are other alternatives. If we re-arrange the formula so that 1 minus the league SV% is in the denominator, we would be measuring the rate at which the player allowed fewer goals than the league. (Because of the nature of division, this is an important distinction from the definition in the previous paragraph.) If we tweak the formula in this direction, there are 2 options: we can compute a "minus" type of stat in which lower numbers are better, or we can stick with the "plus" style familiar to all from baseball's OPS+ and ERA+. The former would represent a goalie who allows 33% fewer goals than the league as a 67 (remember, lower is better); the latter would represent that as a 133.

(If any of this sounds familiar, it's because this battle was fought at Baseball-Reference 3 years ago and continues to rage in some corners of the internet to this day.)

As is the case sometimes in this business, there is no "right answer" here, but rather a matter of preference. For instance, we've long assumed users would find it counterintuitive to have a rate stat where lower numbers = better performance, but maybe that's not true. I'm interested in opinions on this, so let your voice be heard in the following poll -- which format do you prefer? Or do you care at all? I can't promise the poll-winning format will be what we eventually stick with, but I'd like to know what people think.

## Save Percentage+ and Goals Saved Above Average

9th October 2013

Today on Hockey Reference we're rolling out two new stats for goalie pages: Adjusted Save Percentage (SV%+) and Goals Saved Above Average (GSAA). First, you can check Broad Street Hockey for a great explanation of adjusted save percentage and goals saved, but for a simple look, consider the 2012-13 NHL season. League-wide, there were 41,827 shots overall and 3,684 goals scored, for a goals against average of 8.81%. Vezina Trophy winner Sergei Bobrovsky had a goals against average of 6.87% -- 29% better than league average, giving him a SV%+ of 129. Taking that 29% better performance into account combined with the number of shots he faced, we say he saved 21.48 goals more than an average goalie would have, given equal playing time.

These stats are especially helpful for comparing goalies across eras: Patrick Roy led the league in save percentage in the 1991-92 season with a .914 SV%; in the 2012-2013 season that would have placed him as the 26th best goalie between Ben Scrivens and Jonas Hiller. However, we can look at his SV%+ of 130 for that year and see that he was actually 30% better than the league average at stopping goals -- better than Bobrovsky, even.

Note that SV%+ has a minimum requirement of 4 shots faced per team game, so that we don't have goalies who stopped 7 of 7 shots faced in their single period played skewing the results. These stats are now up for goalies as far back as the 1983-84 season (the first year we have shots against data for the NHL), and for the entirety of the WHA (1972-1979), and will be updated throughout the year.

Posted in Announcement, Hockey-Reference.com | 5 Comments »

## Win Probability Explained

7th October 2013

You may have seen our in-game Tweets and the win probability graphs on our box score pages -- we now have a detailed explanation of the win probability methodology from Neil Paine if you're curious how it works.

## Team and Yearly Splits

3rd October 2013

Using the play-by-play data that powers our play finder, I've built detailed season split pages for each team on offense and defense, as well as league total splits and league average splits for the year. Now you can compare your team's performance by field position to the league's, or see which team is best in the fourth quarter. If you can think of a situation you want to see that's not covered here, leave a comment & we'll see what we can do.