The Mariners end the month of June as a playoff team. They have a 1.5 game lead in the wild card standings and yet are third in the American League West. They have a better record than Baltimore, New York, and Kansas City. The team went 16-10 in the month and that was good enough to get them into this position at the halfway mark of the season. I should say quietly get them into position because there hasn’t been much talk about this team being a playoff team. That will change as we get into July.
I will start off the June recap with the batters again. Robinson Cano and Kyle Seager are on pace to get at least 99 runs created for the season. It has been an extraordinary long time since the Mariners have had two players reach triple digits (maybe 2002?). That will be something to watch. Cano has been performing at this pace all season, but Seager had a great June to push himself to this level. I was opposed to moving him into the four spot of the lineup, but he responded well and the combination of Cano batting third and Seager fourth has created an impact in the middle of the lineup. As a team, there were 119 runs created, or 4.6 per game, during the month. That’s the best on a per game basis for the first three months of the season. They did that while the opposing game score average rose to 53.4 during June. That would lead me to believe they scored often against the opposing bullpen.
One of the measures I am watching is record based on runs scored. The past two seasons featured a break point of 4 runs scored per game before the team reached a 500 record. This year it is 5 runs per game. When scoring five or more runs per game, the Mariners are 29-3. Scoring four or fewer yields a record of 15-35.
That seems like a good transition to the starting pitching. We’ve seen the pressure put on the staff when they need to hold the opponent to three runs or less in order for the team to have a chance to win. The team featured a staff of exactly five pitchers during the month. That is a sign of effectiveness or simply lack of injuries. For June, it was the former where Table 2 shows all five pitchers averaged above a 50 game score. The staff averaged 57.2, a remarkable month. Any discussion about the month has to start with Felix Hernandez. He threw 44.1 innings in his six starts or just over 7.1 innings per start. An average game score of 74.2 is incredible and brought his average for the season up to 65.7. How much of a difference did this make? All four of the other starting pitchers performed worse in June than in May.
If there was an item of concern, it would be innings pitched by the staff. Ramirez threw 23 innings over five starts and Young threw 28 innings over his 5 starts. For pitchers not named Hernandez, there were 20 starts and 113 innings thrown. That’s about 5.2 IP per start. That really puts the test to the bullpen.
In looking at Table 3, it appears the bullpen did well during the month. In particular, look at the low leverage index situations. They occur in two types — one where the Mariners are behind and one where they are far ahead. The conclusion, I come to is when the Mariners are behind, the bullpen didn’t let it get worse and when the Mariners are far ahead, they shut down the opposition. Giving the team a chance to come back seems important though I really don’t think this team has the track record of late inning heroics. Nevertheless, the bullpen had a terrific month and those strikeout to walk ratios for the month are something to behold.
When I heard that Robinson Cano was named Mariners’ player of the month for May, I decided I should lead off with the batters. Table 1 includes the four players who created more than 4.5 runs per game plus two more were were above 10.0 runs created or close. Cano created his 19.6 runs in 73 outs, third most on the roster. Smoak created his 12.0 runs and used 95 outs. While I recently wrote a post exclusively about James Jones, maybe I spoke too soon. He stumbled the last week of the month and slipped to only 4.6 runs created per game. He used 65 outs to do that. Maybe I should have written about Michael Saunders who only used 63 outs to create 15.4 runs. I know he doesn’t play everyday, but he made good use of the opportunities he had in May.
What I had intended to lead off with was the starting pitching. The top four had great performances in the month if only by the average game score. With 50 being average and 60 starting talk about Cy Young awards, I am sure every Mariners’ fan was very pleased to see Iwakuma back and pitching like there never was an injury. Elias threw a 51.4 average in April and really stepped it up in May. Young only had three starts in April, but a 49.0 average didn’t prepare us for a sharp improvement to 56.6 in May. Unfortunately, Brandon Maurer regressed in May and frequently was pulled before he completed five innings. The potential is there with 44 strikeouts in five starts, but simply too many base runners and runs allowed got him sent back to Tacoma.
The strikeouts column is new this month. The Cleveland Indians broadcast made a big deal about Corey Kluber throwing 60 strikeouts in the month of May. It has been awhile since an Indians pitcher did that. We have King Felix. While he collected 67 strikeouts in April, 38 for May does not seem right. Well, we should at least be pleased to see that Young and Elias got close, though there is little chance either could get eight starts in a month.
The bullpen got a little break during May as a consequence of the starting pitching doing so well. They actually were required to pitch four fewer innings in May yet there are eight more games than April. The performances in aggregate were better as well. In both high leverage and low leverage situations, ERA, K/9, and K/BB improved in May over April.
The record for the month was 18-14, an improvement over April’s 10-14. June is not going to be a typical month. The month opens with a make-up game in New York followed by two in Atlanta. The first homestand of the month includes Texas, the only American League West opponent for the month. Immediately after Texas is four with San Diego, split by venue. Maybe James Paxton returns during June. Maybe Taijuan Walker returns during June. It doesn’t seem like we need more starting pitching, but both would be welcome sights in Mariners’ uniforms.
The 10-year yield broke out of its channel this week. The current channel range of 2.47 to 3.03 has been in place for 341 days. This week saw three closes below the 2.47 lower limit. Time will tell if this signals a change, but a few economists I follow have been making calls for lower yields in the short-term.
I really enjoy the graphics in the Sunday edition of the Business section of the Seattle Times. The TimesWatch section puts together quite a bit of data into twenty or so graphs that show the state of the state economy alongside the national economy. In the May 25th edition, the graph depicting state unemployment at 6.1% caught my attention. I wondered if the state economy was experiencing the same decreased employment percentage as the national economy is.
For those who do not know, I like to follow the employed percentage of population at the national level. While the economy appears to be recovering if you look at the 6.3% level of unemployment, there is a different picture if you follow the employed percent of population. This measure takes the sum of the employed and unemployed members of the population and divides it by the population of noninstitutional people. Now, while the employed number doesn’t concern itself with full or part-time work, and the unemployed part means you do not have a job but are actively looking for one, the ratio has some suspicious assumptions. Those assumptions are consistent and the best of what we have right now.
For the state of Washington, the same data exists using the same assumptions. In fact, the same Bureau of Labor Statistics web site contains data on each of the fifty states. I gathered the publicly released data on the unemployment rate, the noninstitutional population, the employed, and the unemployed counts for my own analysis. The result is contained on this page, but I will summarize the results here.
The monthly data goes back to 1976. The economy of Seattle was quite different back then as Boeing ruled the employment spectrum. Over the years, Boeing’s influence has waned as the technology sector started to become a much larger employer. I wonder if bio-technology is next, but I think I am getting away from the main point.
The unemployment rate has been on a roller coaster over the years and hit a recent peak of 10% in March 2010. Since then it has moved lower until it reached its current point of 6.1%. Meanwhile, the employed percentage of population looks nothing like the unemployment rate. You can see the end of the dot.com boom just as the year 2000 was beginning, but the line didn’t drop below its long-term average of 66.6%. That is remarkable to me and while I suspect it would tell some of the resilience of the state’s economy, I would be more inclined to say it was due to the variety of labor sources in the region.
Where the two line graphs coincide is at the end of their data streams. The employed percentage of population peaked in March 2009. The unemployment rate peaked in March 2010. These line graphs should be negatively correlated — when the unemployment rate is falling, the employed percentage of population should be rising. Instead, the employed percentage of population has fallen from 68.6% to the current level of 63.3% while the unemployment rate has fallen from 10.2% to its current level of 6.1%.
What I have done next is to take the long-term average of the employed percentage of population (66.6%) and applied it to the count of noninstitutional population and subtracted the current employment number. Finally, I divided the result by the noninstitutional population to derive an adjusted unemployment rate, which is currently at 7.2%. The most recent peak was 7.8% in December 2013. In March of 2010, when the published unemployment rate was at its recent peak of 10.2%, the adjusted unemployment rate was 6.0%. Why was it lower? Because the employed percentage of population was 67.5% back then, above its long-term average.
Why do I go to all of this trouble? The difference between the published unemployment rate and the adjusted unemployment rate may not seem like much, but it is 395,000 people. Adding that to the payrolls of Washington state employers means more income, more consumer spending, and more tax receipts for the state. The lower economic activity in the state, as shown by the lower than average employed percent of population, does have an effect. It is something to be concerned about and it is something that should be generating interest.
It’s about time that I gave James Jones his own post. As lead-off hitter for the Seattle Mariners, he had done remarkable work having broken through 10 runs created. He has done this in only 57 at bats. This works out to 6.6 runs created per game. To put that in perspective, Robinson Cano has 6.4 runs created per game. Everyone else who has played centerfield this year, in 133 at bats has created 9.6 runs.
At some point, word will get around the league, Jones will slump and he will need to make some adjustments. That could happen next week when the team travels to Tampa Bay, a team that has already seen him and allowed him to get 6 total bases in twelve at bats. For now, it will be nice to see the Mariners with a good lead-off hitter.
I was alerted to a news article from Reuters this week on the state of the bridges in the United States. The article is mostly about an analysis by the American Road and Transportation Builders Association, a federation and lobbying group whose stated goal is to “aggressively grow and protect transportation infrastructure investment”. The curious part of the article is about the National Highway Trust Fund. This fund provides monies to states for road and bridge projects.
What is curious to me is the trust fund gets its income from taxes on gasoline and diesel sales. I had read a few years ago that gasoline sales were declining and decided I needed to update my knowledge.
The first stop was the U.S. Energy Information Administration, a government agency that holds data on retail sales of gasoline. The next stop was the Federal Highway Administration of the U.S. Department of Transportation. The result was a new post on The Analytical Road Data.
While I agree that gasoline sales have plunged since the economy went into recession in 2007, it does not seem to have had an effect on the National Highway Trust Fund balance. I broke down the cash flow statement of the trust fund further and noticed that tax receipts are stable. Then I looked at income from all sources and subtracted outlays (what I call Net Income in the graphic) and again noticed the stability of the data series.
The Reuters article mentions the National Highway Trust Fund will run out of funds at the end of this fiscal year (end of August 2014), but it does not mention why. Given the stability of tax receipts and the well managed nature of the expenditures, it doesn’t seem like the fund is in the danger brought forward by the Association.
Before I move away from this topic, the disconnect between the drop in gasoline sales and the tax receipts by the fund cannot go without further analysis. I’ll have to dive into the numbers of the fund to see exactly what the source is since it does not appear to be based on retail sales of gasoline.
|1||4 – 2||5.7||Away|
|2||2 – 3||2.4||Home|
|3||1 – 6||3.0||Away|
|4||3 – 3||4.0||Home|
Characterizing the first month of the 2014 season for the Seattle Mariners seems to revolve around the concept of this team still trying to find its identity. With no long winning streaks but one significant losing streak, the team quickly forgot the great start to the season and finished the month below 500. Scoring 4 runs per game still seems to be the magic number for this team as it has been for the past few seasons. It is something I will continue to focus on throughout the season.
|Pitcher||Games Started||Average Game Score|
King Felix arrived with a great beginning to the season. With continued talk of reduced velocity, his strikeout totals were up over the past few seasons and he had a great start to the 2014 season. James Paxton also got off to a good start but got sidelined with an injury. As long as Paxton was rolling, the loss of Iwakuma wasn’t hurting the team. But after only two starts, the team was dipping deep into the well to cover some games. Roenis Elias was a surprise at how well he opened the season. Having signed with the thought of being a fourth starter at best, he stepped up and had a good April.Looking forward, Iwakuma will be back in May. Paxton and Walker might be back by the end of the month, though that might be too optimistic. Hernandez, Iwakuma, and Elias are probably league average for a one through three starting staff. I expect the starting pitching to be fine in May.
|Batter||Runs Created||Runs Created
As expected, Robinson Cano tops the runs created board. Kyle Seager was performing very poorly until the last series of the month when he co-won the American League Player of the Week award. Corey Hart is also producing well and hasn’t let Safeco Field intimidate him. After the top three, Justin Smoak seems to be contributing occasionally but not consistently. That means no change from him. Mike Zunino has shown improvement over last year and seems to be handling the catching role well. After the top five, there are issues. Dustin Ackley continues to have long stretches of no contribution. Abraham Almonte is not doing well as a lead-off hitter. At one point in the final week of April, he was tied for second in the league for strikeouts. Brad Miller has not continued his success of 2013 into this year and is no longer considered an everyday starter. Michael Saunders is playing part-time and just barely makes this list. Stefan Romero just missed the top nine and might get increased playing time. He doesn’t produce much but his consistency is better than others on this list. Run production by the team is still below league average. That will not change until there are more than three players creating more than five runs per game. I’ll be watching for the continued improvement of Zunino and the return of Miller. In addition, the team needs to find a better lead-off hitter.
Just to emphasize the Mariners’ struggles at the top of the batting order, I added Table 4 which shows the Runs Created per Game by batting order. What I didn’t expect to find was the problem in the number two slot. This really solidifies the trouble the Mariners will have scoring since their top two spots in the batting order cannot seem to create runs. Increased run production should be a goal and altering the top two spots should be the top target.
I don’t recall that I published Runs Created by Fielding Position in 2013. It is something that I remember watching, but a different coaching staff and a different roster make this year stand out. In particular, the outfield is something to behold and not in a good way. While right field is creating just over the magic number of four, left and center are dreadful. The strength of the team is in the infield, but the outfield isn’t helping. This needs to turn around if the team wants to reach 500 for the season. It is humbling to focus on a 500 record as a goal, but it can be achieved if the outfield starts producing.
|Pitcher||IR||IS||High LI||Low LI|
Table 6 shows part of the current relief staff. I only included the pitchers with the most appearances. The acronyms are: IR — inherited runners; IS — inherited runners who scored; and, LI — leverage index. On the plus side, Joe Beimel has not allowed an inherited runner to score. In his ten appearances, seven were in low leverage situations. I would recommend he be brought into more high leverage situations. In fact, he might simply swap with Charlie Furbush who has allowed half of his inherited runners to score. In his eleven appearances, eight were in high leverage situations. Furbush may need to have his role altered until he can consistently get outs. I’m not sure what role Danny Farquhar is playing. He was the closer at the end of the 2013 season but is being used in more low leverage situations than high leverage situations so far. It seems that he too should have a more prominent role in the bullpen.
I like looking at the bullpen results by leverage index to see how well they are performing in important situations. For Table 7, there is a very notable difference in outcomes between low leverage situations and high leverage situations. While I applaud the bullpen for their low ERA in low leverage situations, this isn’t a team that has created an offense which can come from behind. In high leverage situations, the bullpen is allowing too many baserunners, as seen in the WHIP, and consequently allowing too many runners to score, as seen in the ERA. An alarming indicator is the K/BB ratio in high leverage situations. There have been 24 walks in 32 innings pitched. Time to make a change. I would start with what I mentioned in the preceding paragraph. Two small changes could have a helpful impact and not allow the team to lose games in the late innings.
For the month of April, the team was outscored 99 to 91 and their record was 10 – 14. The opposition had a better aggregate game score and a higher number of runs created. I’m looking forward to a few subtle changes in May. The bigger changes that are needed may need to come from a few players using the role they have been given to produce more.
This note came in from Seeking Alpha’s Wall Street Breakfast:
The Chicago Fed’s Charles Evans doesn’t expect the first rate hike until the 2nd half of 2015 – somewhat later than Yellen’s “six-month” (from QE’s end) remark which suggested a boost as soon as April 2015. Speaking to reporters after his speech, Evans suggested holding off on hikes until 2016 could be appropriate given the state of the economy. Nevertheless, Evans sees a Fed Funds rate of 1.25% by the end of 2016 – the low end of FOMC guesses, but 25 basis points higher than his forecast three months ago. As for hiking rates to cool “financial exuberance” – an idea seeming to gain a little traction with some Fed members in recent days – Evans says “monetary policy is not the best tool to mitigate this risk.”
From my perspective leading up to 2007, monetary policy was the cause of financial exuberance. It seems to me it should also be part of the solution. Is it the best tool to mitigate the risk? Perhaps not, but of the remaining tools (fiscal policy, taxes, and regulation), it is the only one available right now to be used.There doesn’t seem to be any resolve in the chambers of Congress to even acknowledge this risk exists.
Sometimes waiting for the best tool to become available starts to look like indifference. This could lead us to the same outcome as we saw in 2008. I do not condone this level of abdication of responsibility. I especially dislike it when those who perpetrate the situation tell us the problem now is ours to resolve.
This news item came to my Inbox from the newspaper, The Hill.
News from The Hill
House to consider Ryan budget in April
By Russell Berman
House Republicans in April will consider a budget authored by Rep. Paul Ryan (R-Wis.) that sticks to a bipartisan spending level for 2015 but balances within a decade, Majority Leader Eric Cantor (R-Va.) told lawmakers on Friday.
Cantor’s announcement sets up what could be the most difficult budget vote since 2011 for the Republican majority, since it will require dozens of conservatives to endorse a $1.014 trillion spending level that they opposed in December. Ryan, the Budget Committee chairman, will propose deeper cuts in future years to keep the party’s commitment to erasing the federal deficit within 10 years.
I’m uncertain what Rep. Ryan hopes to accomplish, but I will be glad to hear some talk about the budget. There needs to be a candid conversation. My own Senator, Patty Murray, has said she will not bring forward talks regarding a budget for 2015. That seems irresponsible considering what needs to change. At this stage, Rep. Ryan is showing leadership. We will need to see how the conversation goes.
For now, the opening is cast since the phrase “balances within a decade” seems quite impossible to me without significant changes to Medicare and Social Security. That truth needs to be told by a prominent member of Congress. If Rep. Ryan does not mention it, the dis-ingenuity from the Congressional budget committees will continue.
I thought about writing a post describing this new series I will follow. Instead, I decided to use it as a curriculum for data visualization. Let’s start with the graph, which will open in a new window or tab. The focus of your eyes should immediately go to the red and green lines. Those are the important elements of the graph and it should be what you notice first.
Let’s move beyond that and talk about why they are the most noticeable. They are a brighter color compared to the rest of the items on the graph. The right-hand side is clear of other items and that space gives us a clear view of the most recent data observations of the two series.
After that, we may look to the horizontal or vertical axis — the horizontal axis because we are interested in the time of the observation or the vertical because we are interested in the scale of the data. In both cases, there are numbers without text. I have been a strong advocate for labeling each axis until recently when I noticed people using text within the graph to describe the axes. There are two advantages to this method: text is not rotated 90 degrees for the vertical axis and the text box doubles as the legend. In effect, we have replaced three text boxes (the horizontal axis label, the vertical axis label, and the legend) and replaced them with a single text box that may not have any more words than the composite of the original three.
In this particular case, we see what the horizontal and vertical axes are. We can also see a legend which shows the two data sets using the color of the line as part of the legend. This removes the graph type icon from the legend of most software and doubles the density within the new legend — a single line describes the series and defines which series it is.
Perhaps next our vision moves to the center of the graph which shows another text box with the most recent observation. I generally approve of this on all graphs since it shows how current the data is as well as the value of the most recent observation. It is not always easy to tell what each observation is especially as the line moves farther away from the scale which is generally on the left-hand side. This text box leaves no doubt on the value at the end point of the line. Notice that I also included the color of the line for each data observation. While this is not necessary for this graph, it provides reinforcement on the last observation for each data series to match it to the proper line.
By now, we have noticed the large paragraph of data near the left-side of the graph. I generally do not like detailed text on graphs. I especially do not like them when I am including a lecture — if I am truly speaking to the graph, there is no reason for additional text to distract from my comments. The counter to the lecture is the printed graph, which is what we are seeing now. For this type of presentation, it might be useful to include an explanatory paragraph to provide detail into how to read the graph and why it is meaningful. Since this graph will be updated at best quarterly, including background and detail will be helpful for any audience.
Finally, there is a text box in the lower-right which shows the source of the data. I am usually quite deficient at successfully including the data source. It is best to include it because you will have skeptics who will not believe your conclusions and observations until they look at the data series themselves.
Okay, that is it for the text boxes. They add a lot to the visual stimulation of the graph, but I think they have their purpose and they do not detract from the data. There is one item to discuss that is not seen — the gridlines. I did not speak of them because they do not stand out. Tableau defaults to a light gray color and I highly approve. Microsoft Excel defaults to black and it can make it unnecessarily difficult to read a graph. In this case, they are subtle and come into visual acuity only if needed.