The Game level exploratory report is found in the GAME LEVEL section of reports. This report is best to see how teams and players perform in many different situations beyond what is possible when just looking at season level stats.
Game Level reports can tell you statistics at any point within the regular season or playoffs since 2005, but certain data points (such as OBP and SLG) are unavailable before the 2016 season. As a result, all Game Level reports will by default only show from the 2016 season on, though this can be expanded with certain limitations.
TYPES OF QUESTIONS THAT CAN BE ANSWERED
How do the Hanshin Tigers perform against teams not named the Orix Buffaloes in Kyocera Dome?
What league has a higher winning percentage in interleague games?
|What players perform best on Friday the 13ths?
Upon launch you will see the below screen with many different buttons. These buttons can be split into two different parts, filters and charts.
Filters are options that allow you to customize the report to only show what you want. The specific filters available in this report are detailed in the FILTERS section below.
The main thing to keep in mind is that every filter here affects every other filter. This means, if you filter TEAM to only show the Hanshin Tigers and also filter DATE to 2020 only, you will not see the Japan Series as an option under the GAME filters – as they did not make the playoffs that year. Also note that if nothing is selected that does not mean nothing will be shown, it means that everything will be shown.
If you want to reset all filter changes you’ve made back to default, just click the RESET button.
The remaining options are an INFO button which details data specific precautions or limitations, a LAST UPDATED visual showing the most recent data that has been added to the report, and a NIGHT MODE toggle.
The smaller buttons beneath the filters are all buttons that will show different statistics based on the filters you have set. They are toggled simply by clicking on any of the buttons once. Upon clicking, the chart and any chart specific filters will start to load. Depending on the volume of data to display you may see a loading icon spin for a bit.
Here is the chart for ‘By Year’ Batting. You can sort by any particular field by clicking on the column header. By default the batting charts are sorted by OPS+.
Depending on the charts being shown you may be given additional filters to trim the data you’re shown even more. In the case of the batting chart, you are shown a filter for At Bats. This allows you to set minimum and maximum number of at bats so you can remove outliers in the data that only exist due to certain circumstances. As an example, the first name in the chart as of the end of the 2020 season is Sunada, Yoshiki with an OPS+ of 468 – in exactly one at bat. Probably need a better sample size there.
Note that any filter that appears after you’ve clicked on one of the chart selections will affect ONLY that chart. If you were to filter to only show batters with a minimum of 200 AB and then clicked on one of the fielding charts, that chart would be unaffected by the 200 AB minimum you set (though any of the top-level filters would still be in effect).
To switch charts, simply click on any of the other chart buttons, or make or remove some selections you’ve made in the filters to adjust what you’re already looking at. Remember that you can always hit the RESET button to get back to where you first started.
NOTE: If you are viewing these reports on a mobile device such as an iPad, you will need to click twice to set a filter. Once to navigate “into” the filter options, and a second time to make any selections.
The Team dropdown filters include league and individual team. Multiple teams can be selected. The teams chosen here will be the data that is displayed in any of the charts.
The Versus dropdown shows the exact same options as the Team dropdown, but teams selected in Versus limits the data to only matches against these teams. In the screenshot below the Hanshin Tigers are missing because I have selected them on the Team filter. If I was to select the Yomiuri Giants here I would only see data for the Hanshin Tigers only when they played against Yomiuri. As with the Team filter, multiple teams can be selected here as well.
The Game dropdown has two customizable options, Game Type and Ballpark. Here is where you can limit the data to just the regular season or to any particular playoff stage (or all stages), or to a particular stadium to see how a team performs at a particular stadium. Stadiums can be searched for using either Japanese or English/Romaji.
Game Level reports allow us to customize specific date ranges or even specific days of the week. You could see how players perform on Friday the 13ths if you’d like. Note that by default the report only shows from the 2016 season on (though it can be expanded with certain limitations detailed later in the LIMITATIONS section).
All Game Level reports will calculate a league average that varies based on what filters are being used. In the case of this report, league average is necessary to know to determine a player’s OPS+. Filters that affect league averages include:
- Game Filters
- Game Type
- Date Filters
- Date Range
- Day of Week
Ignored filters include:
- Team filters
- Player filters
- Versus filters
As an example, if you filter to only show data for the Hanshin Tigers from the month of June, the league average will look at how ALL teams performed in the month of June.
The Game Level reports can show data from the 2005 season on, but they do not contain all data points that you can get at the season level, especially before the 2016 season. If you are including data from before the 2016 season then the charts showing affected data points will be shaded in red. In the screenshot below we are showing batting stats by year for the Hanshin Tigers since 2005. Plate Appearances (PA), among others, are not available prior to the 2016 season at an individual game level, and so the relevant rows (and the total PA) are shaded in red indicating that the relevant data is missing or the total is misleading.