March Through History: 2014

DeWitt sparks 11-3 win for Angels

Blake DeWitt's hot bat helped the Angels to a 11-3 win over the White Sox. DeWitt collected 4 hits in the game. Los Angeles's Steven Pearce had 4 RBIs. Brett Cecil was on fire, allowing just 4 hits over 9 innings for Los Angeles. | Box

Pirates ride Moscoso to victory over Rays

Guillermo Moscoso was brilliant last night, allowing just 3 hits over 8 innings, leading the Pirates to a 5-0 win over the Rays. | Box

Big game for Uggla lifts Yankees to victory

Dan Uggla drove in 4 runs, carrying New York to a 8-5 victory over the Phillies. | Box

Cabrera delivers in clutch, Red Sox win

Miguel Cabrera drove in 5 runs, carrying Boston to a 9-7 victory over the Nationals. | Box

Corbin whiffs 8 in 1-0 win

Patrick Corbin struckout 8 San Francisco batters in a 1-0 win for the Reds. | Box

Latest Public Board Post
1/26/2021	Annoyed	Jayslater1223
Where I know I'd love to see us go (and you've made all the right steps thus far, Guy.) and commishes have a hint by seeing in player edits that oWAR data is at least loaded onto the site. The problem will arise with plenty of folks not having much of a clue as to what oWAR is, or how to attempt to translate it back to into Real Stats numbers that match the weighted on base events in the first place. I think a solution is to use league average wOBA's as yardsticks for season leagues, or era leagues and to build in a 'calculator' where the user can simply punch in the real stats and generate a relevant oWAR number. Now I'm not a coder, I don't have a clue as to how much effort that would entail. But you are pretty friggin' good at this Gbacci. I have faith. :) Now you will always need individualized events, those tied to the ratio of extra base hits, each kind of extra base hit, errors, walks, strikeouts, but what you could then do, is encompass both WAR numbers together, not to simple 'get WAR', but to translate that to a 'true rank'. I think even though dWAR is calculated by different methods throughout history because of increased knowledge and technology, really all you're looking for is over time, (we have well over 100 seasons of data.) is the average percentage of how much a player's oWAR vs their dWAR makes up their total WAR can then be used a methodology for an improved 'Position Player' Rank system. Pitching Rank is fine. But it's important to also use the common sense of how baseball is played. What's a walk? A free base. What's a hit? Well, that could be just one base but that could also be more damage. What's a strikeout? The batter doesn't put the ball in play at all. No one has to make a play. What do you do in the field? Field the ball. Does a team full of poor fielders ever win? No. A team full of poor fielders is a statistical impossibility. Based on survivor bias. If they're not getting the job done early, they'll never accumulate the dWAR to have a historic terrible Fielding season. ONE OR TWO POOR FIELDERS MAY REMAIN BECAUSE THEIR BAT'S JUST TOO POWERFUL, but ignoring defense in real life won't win you a ton of ball games. It's position players/hitters that offer the problems here for newer users.
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