2019 Playoff Horse Race Part 2

After looking at that 30 team table in Part 1 of this series it seemed that sorting based upon the output of this data model will be useful.  Last April when we did this 9 of the top 12 teams made the playoffs.   Sorting on simple W-L will depress certain teams like Atlanta and others who have improved even though they had a bad run these last three years.  Here is the same table as in Part 1 but sorting on Total, as measured by value assigned by this data model,  instead of simple win/loss records.

Team Ranking by Total value

TeamID W-L Total Hitters Pitchers Starters Relief
CHN 94 118.9 45.8 73.1 42.7 30.4
HOU 90 106.1 50.5 55.7 29.3 26.3
BOS 102 103.3 65.8 37.5 25.1 12.4
NYA 64 98.9 48.3 50.6 23.7 27.0
WAS 62 86.4 45.0 41.4 29.0 12.5
COL 19 82.9 75.4 7.6 -2.0 9.6
CLE 89 77.0 15.7 61.3 47.0 14.3
LAN 87 73.2 33.1 40.1 18.4 21.7
MIL 23 61.3 32.3 28.9 12.0 16.9
NYN -18 58.9 8.4 50.5 31.5 19.0
SLN 28 56.9 38.9 18.0 3.8 14.2
PHI -52 37.9 14.2 23.6 3.0 20.7
OAK -4 37.8 23.5 14.3 -14.1 28.4
MIN -42 36.5 39.3 -2.8 -3.5 0.8
ATL -25 30.2 25.2 5.0 4.9 0.1
CIN -80 28.5 8.3 20.2 2.2 18.0
SFN -38 27.6 -5.0 32.6 13.4 19.2
SDN -76 21.6 6.5 15.2 3.2 12.0
TBA -10 19.1 1.6 17.5 13.1 4.3
PIT -14 15.1 0.9 14.2 5.0 9.2
SEA 20 10.2 5.9 4.3 -4.3 8.7
ARI 2 9.8 -0.5 10.3 5.8 4.5
ANA -18 9.5 11.9 -2.4 -7.9 5.5
TEX -6 2.1 5.2 -3.1 -6.9 3.8
CHA -72 -8.1 -8.3 0.1 -5.0 5.1
TOR -10 -17.8 -10.4 -7.4 0.2 -7.6
BAL -64 -23.5 -17.6 -5.9 -9.1 3.2
MIA -46 -28.8 -16.9 -11.8 -2.6 -9.3
KCA -48 -29.3 -25.4 -3.9 -0.6 -3.3
DET -57 -47.2 -9.1 -38.1 -28.9 -9.2

This provides a different perspective on the situation and most likely 8 teams in the top half of this table will make the playoffs.  This post could be considered an addendum to Part 1.  If we had the web site built you would be able to drill down into each team to see how the sausage is made.

The above does not take into account the potential of new guys or new guys from AAA or AA in waiting to come up mid season and help propel their teams into the playoffs.  That is fodder for a different kind of data model.  That is all for now.  Until then ….