Yasiel Puig

Atlanta Braves
Pos: OF | Hand: R
Status: Inactive
player props
FPTS 2 4 6 8 10 11 13 15 17 19 SAL $1.3K $2.6K $4K $5.3K $6.6K $7.9K $9.2K $10.6K $11.9K $13.2K
  • FPTS: 7
  • FPTS: 10
  • FPTS: 6
  • FPTS: 3
  • FPTS: 2
  • FPTS: 5
  • FPTS: 13
  • FPTS: 14
  • FPTS: 19
  • FPTS: 7
  • FPTS: 0
  • FPTS: 18
  • FPTS: 19
  • FPTS: 7
  • FPTS: 0
  • FPTS: 0
  • SAL: $3.9K
  • SAL: $4K
  • SAL: $4K
  • SAL: $4.5K
  • SAL: --
  • SAL: $3.9K
  • SAL: $3.9K
  • SAL: $4.3K
  • SAL: --
  • SAL: $4.3K
  • SAL: $4.2K
  • SAL: $13.2K
  • SAL: $4.4K
  • SAL: $4.5K
  • SAL: $4.2K
  • SAL: $4.2K
09/11 09/12 09/14 09/14 09/15 09/17 09/18 09/19 09/20 09/21 09/22 09/25 09/26 09/27 09/27
Date Opp DKSAL FDSAL DKFPTS FDFPTS sf ab slg h so hbp gidp 1b babip 2b pa 3b sb hr xbh r obp rbi iso bb ops ibb
2019-09-27 @ WSH $4.2K $3K 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-09-26 @ CWS $4.2K $3.1K 0 0 0 3 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-09-25 @ CWS $4.5K $3.2K 7 9 0 3 0 0 1 0 0 0 0 0 4 0 1 0 0 0 0.25 0 0 1 0.25 0
2019-09-24 @ CWS $4.4K $3.4K 19 24.4 0 3 1.67 3 0 0 0 1 1 2 4 0 0 0 2 2 1 0 0.67 1 2.67 0
2019-09-22 vs. PHI $13.2K $7.5K 18 25.7 0 3 1 2 0 0 0 1 0.67 1 4 0 0 0 1 1 0.75 3 0.33 1 1.75 0
2019-09-21 vs. PHI $4.2K $3.5K 0 0 0 4 0 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-09-20 vs. PHI $4.3K $3.2K 7 9.5 0 3 0.33 1 0 0 0 1 0.33 0 4 0 0 0 0 0 0.5 1 0 1 0.83 0
2019-09-19 vs. DET -- -- 19 24.9 0 4 0.75 2 1 0 0 1 0.67 1 4 0 1 0 1 2 0.5 1 0.25 0 1.25 0
2019-09-18 vs. DET $4.3K $3.1K 14 15.5 0 5 0.8 4 0 0 0 4 0.8 0 5 0 0 0 0 0 0.8 1 0 0 1.6 0
2019-09-17 vs. DET $3.9K $3.2K 13 15.5 0 5 0.8 3 1 0 0 2 0.75 1 5 0 0 0 1 0 0.6 1 0.2 0 1.4 0
2019-09-15 vs. MIN $3.9K $3.2K 5 6 0 3 0.33 1 1 0 0 1 0.5 0 4 0 0 0 0 0 0.5 0 0 1 0.83 0
2019-09-14 vs. MIN -- -- 2 3 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2019-09-14 vs. MIN $4.5K $3.2K 3 3 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2019-09-11 @ LAA $4K $3.1K 6 6 0 4 0.5 2 1 0 0 2 0.67 0 4 0 0 0 0 0 0.5 0 0 0 1 0
2019-09-10 @ LAA $4K $3.1K 10 15.4 0 1 0 0 0 2 0 0 0 0 4 0 0 0 0 2 0.75 0 0 1 0.75 0
2019-09-09 @ LAA $3.9K $3.1K 7 9.5 0 3 0.33 1 1 0 0 1 0.5 0 4 0 0 0 0 0 0.5 1 0 1 0.83 0
2019-09-08 @ MIN $4.1K $3.2K 7 9.2 0 4 0.25 1 1 0 1 1 0.33 0 5 0 0 0 0 1 0.4 0 0 1 0.65 0
2019-09-07 @ MIN $3.7K $3.2K 14 18.7 0 4 1 2 1 0 0 0 0.67 2 4 0 0 0 2 1 0.5 1 0.5 0 1.5 0
2019-09-06 @ MIN $3.9K $3.2K 7 9.7 1 5 0.2 1 2 0 0 1 0.25 0 6 0 0 0 0 1 0.17 1 0 0 0.37 0
2019-09-04 vs. CWS $4.3K $3.2K 10 12.7 0 5 0.4 2 0 0 0 2 0.4 0 5 0 0 0 0 1 0.4 1 0 0 0.8 0
2019-09-03 vs. CWS $3.9K $3.4K 3 3 0 4 0.25 1 2 0 0 1 0.5 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2019-09-02 vs. CWS $4.1K $3.4K 18 24.4 0 3 0.67 1 0 0 0 0 0.33 1 5 0 1 0 1 2 0.6 0 0.33 2 1.27 0
2019-09-01 @ TB $3.5K $3.3K 5 6.2 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 1 0.25 0 0 0 0.5 0
2019-08-31 @ TB $4.2K $3.3K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-08-30 @ TB $3.8K $3.4K 0 0 0 4 0 0 2 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-08-29 @ DET $4.2K $3.7K 2 3 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2019-08-28 @ DET $4.1K $3.4K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-08-27 @ DET $4.1K $3.4K 16 21.7 0 4 1 2 0 0 0 0 0.5 2 5 0 0 0 2 1 0.6 1 0.5 1 1.6 0
2019-08-25 vs. KC $4.4K $3.3K 5 6.2 0 5 0.2 1 1 0 0 1 0.25 0 5 0 0 0 0 1 0.2 0 0 0 0.4 0
2019-08-24 vs. KC $4.5K $3.3K 5 6 0 3 0.33 1 1 0 0 1 0.5 0 4 0 0 0 0 0 0.5 0 0 1 0.83 0
2019-08-23 vs. KC $4.5K $3K 5 6 0 3 0.33 1 1 0 0 1 0.5 0 4 0 0 0 0 0 0.5 0 0 1 0.83 0
2019-08-22 @ NYM $4.1K $3.2K 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-08-21 @ NYM $4.2K $3.4K 2 3.5 0 5 0 0 2 0 0 0 0 0 5 0 0 0 0 0 0 1 0 0 0 0
2019-08-20 @ NYM $4.3K $3.4K 2 3.2 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 1 0 0 0 0 0 0
2019-08-18 @ NYY $4.6K $3.4K 4 6 0 3 0 0 1 0 1 0 0 0 5 0 0 0 0 0 0.4 0 0 2 0.4 0
2019-08-17 @ NYY $3.8K $3.3K 14 18.7 0 3 1 2 0 0 0 1 0.67 1 4 0 0 0 1 1 0.75 1 0.33 1 1.75 0
2019-08-16 @ NYY $4.4K $3.4K 14 18.7 0 4 1 1 0 0 0 0 0 0 4 0 0 1 1 1 0.25 1 0.75 0 1.25 0
2019-08-15 @ NYY $4.5K $3.4K 12 16.2 0 5 0.4 2 2 0 0 2 0.67 0 5 0 0 0 0 1 0.4 2 0 0 0.8 0
2019-08-11 @ MIN $4.1K $3.1K 7 9.5 0 5 0.4 1 2 0 0 0 0.33 1 5 0 0 0 1 0 0.2 1 0.2 0 0.6 0
2019-08-10 @ MIN $4K $3.1K 22 27.7 0 4 1.75 3 1 0 0 1 1 1 4 0 0 1 2 1 0.75 1 1 0 2.5 0
2019-08-09 @ MIN $4K $3.1K 13 15.7 0 5 0.6 3 1 0 0 3 0.75 0 5 0 0 0 0 1 0.6 1 0 0 1.2 0
2019-08-08 @ MIN $4.2K $3K 14 18.4 0 4 0.75 1 1 0 0 0 0.33 0 5 1 0 0 1 2 0.4 0 0.5 1 1.15 0
2019-08-07 vs. TEX -- -- 7 9.5 0 3 0.33 1 2 1 0 1 1 0 4 0 0 0 0 0 0.5 1 0 0 0.83 0
2019-08-07 vs. TEX $4K $3.1K 0 0 0 3 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-08-05 vs. TEX $4.3K $3.1K 6 6 0 4 0.5 2 1 0 1 2 0.67 0 4 0 0 0 0 0 0.5 0 0 0 1 0
2019-08-04 vs. LAA $4.4K $3.2K 12 15 0 3 0.67 1 0 0 0 0 0.33 1 4 0 1 0 1 0 0.5 0 0.33 1 1.17 0
2019-08-03 vs. LAA $4.2K $3K 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-08-02 vs. LAA $4.1K $2.9K 12 16.2 0 4 0.5 2 1 0 0 2 0.67 0 4 0 0 0 0 1 0.5 2 0 0 1 0
2019-08-01 vs. HOU $3.6K $2.9K 12 15 0 3 0.67 1 0 0 0 0 0.33 1 4 0 1 0 1 0 0.5 0 0.33 1 1.17 0
2019-07-30 vs. PIT $4.3K $3.1K 7 9.5 0 4 0 0 2 0 0 0 0 0 4 0 1 0 0 0 0 1 0 0 0 0
2019-07-29 vs. PIT $4.4K $3.1K 6 9.7 0 3 0 0 0 0 0 0 0 0 4 0 0 0 0 1 0.25 1 0 1 0.25 0
2019-07-28 vs. COL $4.5K $3.3K 0 0 0 4 0 0 1 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-07-27 vs. COL $4.4K $3.3K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-07-26 vs. COL $13.2K $7.5K 8 9 0 4 0.75 2 1 0 0 1 0.67 1 4 0 0 0 1 0 0.5 0 0.25 0 1.25 0
2019-07-24 @ MIL $4.6K $3.3K 4 6.2 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 1 0.25 0 0 1 0.25 0
2019-07-23 @ MIL $4.6K $3.4K 9 12.4 0 3 0.33 1 1 0 0 1 0.5 0 4 0 0 0 0 2 0.5 0 0 1 0.83 0
2019-07-22 @ MIL $4.6K $3.4K 9 12.2 0 3 0.67 1 0 0 0 0 0.33 1 4 0 0 0 1 1 0.5 0 0.33 1 1.17 0
2019-07-21 vs. STL $4.4K $3.4K 2 3 0 3 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2019-07-20 vs. STL $4.4K $3.4K 9 12.7 0 4 0.5 1 2 0 1 0 0.5 1 4 0 0 0 1 1 0.25 1 0.25 0 0.75 0
2019-07-19 vs. STL $4.4K $3.4K 8 9.5 0 5 0.4 2 1 0 0 2 0.5 0 5 0 0 0 0 0 0.4 1 0 0 0.8 0
2019-07-18 vs. STL $4.8K $3.4K 8 9 0 5 0.6 2 1 0 0 1 0.5 1 5 0 0 0 1 0 0.4 0 0.2 0 1 0
2019-07-17 @ CHC $4.3K $3.5K 5 6.5 0 4 0.25 1 3 0 0 1 1 0 4 0 0 0 0 0 0.25 1 0 0 0.5 0
2019-07-16 @ CHC $4.4K $3.6K 4 6.2 0 4 0 0 1 1 0 0 0 0 5 0 0 0 0 1 0.2 0 0 0 0.2 0
2019-07-15 @ CHC $4.1K $3.4K 17 21.7 0 5 1 2 0 0 1 1 0.25 0 5 0 0 1 1 1 0.4 1 0.6 0 1.4 0
2019-07-14 @ COL $5.3K $3.7K 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2019-07-13 @ COL $5.3K $3.8K 35 47.6 0 6 1.33 4 0 0 0 2 0.6 1 6 0 0 1 2 3 0.67 4 0.67 0 2 0
2019-07-12 @ COL $4.9K $3.7K 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-07-07 vs. CLE $4.3K $3K 6 6 0 4 0.5 2 0 0 0 2 0.5 0 4 0 0 0 0 0 0.5 0 0 0 1 0
2019-07-06 vs. CLE $4.3K $3.1K 24 31.2 0 4 1.75 3 1 0 0 1 1 1 4 0 0 1 2 1 0.75 2 1 0 2.5 0
2019-07-04 vs. MIL $4.7K $3.3K 5 6.5 0 4 0.25 1 0 0 0 1 0.25 0 4 0 0 0 0 0 0.25 1 0 0 0.5 0
2019-07-03 vs. MIL $4.9K $3.1K 21 28.4 1 3 1.67 2 1 0 0 1 0.5 0 4 0 0 1 1 2 0.5 2 1 0 2.17 0
2019-07-02 vs. MIL $4.9K $3.3K 21 27.9 0 4 1.25 2 0 1 0 1 0.33 0 5 0 0 1 1 2 0.6 1 0.75 0 1.85 0
2019-07-01 vs. MIL $4.7K $3.4K 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2019-06-30 vs. CHC $4.5K $3.4K 19 24.4 0 3 0.33 1 0 0 0 1 0.33 0 4 0 2 0 0 2 0.5 0 0 1 0.83 0
2019-06-29 vs. CHC $4.9K $3.5K 2 3 0 3 0 0 0 1 0 0 0 0 4 0 0 0 0 0 0.25 0 0 0 0.25 0
2019-06-28 vs. CHC $4.5K $3.4K 8 9 0 4 0.5 2 0 0 1 2 0.5 0 5 0 0 0 0 0 0.6 0 0 1 1.1 0
2019-06-26 @ LAA $4.4K $3.2K 14 18.7 0 4 1 1 2 0 0 0 0 0 4 0 0 1 1 1 0.25 1 0.75 0 1.25 0
2019-06-25 @ LAA $4.4K $3.3K 0 0 0 3 0 0 1 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-06-23 @ MIL $4.5K $3K 14 18.7 0 3 1 2 0 0 0 1 0.67 1 4 0 0 0 1 1 0.75 1 0.33 1 1.75 0
2019-06-22 @ MIL $4.6K $2.9K 16 22.2 0 4 1 1 1 0 0 0 0 0 4 0 0 1 1 1 0.25 2 0.75 0 1.25 0
2019-06-21 @ MIL $4.4K $2.9K 25 34.7 0 4 1 1 0 0 0 0 0 0 5 0 1 1 1 1 0.4 3 0.75 1 1.4 0
2019-06-20 @ MIL $4.2K $3K 18 21.2 0 4 1 2 2 0 0 1 1 0 4 1 1 0 1 1 0.5 0 0.5 0 1.5 0
2019-06-19 vs. HOU $3.8K $2.9K 19 24.7 0 4 1.5 2 1 0 0 0 0.5 1 4 0 0 1 2 1 0.5 1 1 0 2 0
2019-06-18 vs. HOU $3.8K $2.9K 0 0 0 3 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-06-17 vs. HOU $4K $3K 2 3 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2019-06-16 vs. TEX $4K $2.9K 26 34.4 0 4 1.5 3 0 1 0 2 0.67 0 5 0 0 1 1 2 0.8 2 0.75 0 2.3 0
2019-06-15 vs. TEX $3.5K $2.8K 16 22.2 0 4 1 1 0 0 0 0 0 0 4 0 0 1 1 1 0.25 2 0.75 0 1.25 0
2019-06-14 vs. TEX $4.1K $2.8K 11 12 0 4 1 3 1 0 0 2 1 1 4 0 0 0 1 0 0.75 0 0.25 0 1.75 0
2019-06-12 @ CLE $4K $2.7K 5 6.2 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 1 0.25 0 0 0 0.5 0
2019-06-11 @ CLE $3.9K $2.8K 8 9 0 4 0.75 2 0 0 0 1 0.5 1 4 0 0 0 1 0 0.5 0 0.25 0 1.25 0
2019-06-09 @ PHI $3.8K $3K 0 0 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-06-07 @ PHI $3.8K $2.9K 8 9 0 4 0.25 1 2 0 0 1 0.5 0 4 0 1 0 0 0 0.25 0 0 0 0.5 0
2019-06-06 @ STL $3.8K $3K 10 12 0 4 0.5 1 1 0 0 0 0.33 1 4 0 1 0 1 0 0.25 0 0.25 0 0.75 0
2019-06-04 @ STL $3.8K $2.7K 14 18.7 0 5 0.8 1 1 0 0 0 0 0 5 0 0 1 1 1 0.2 1 0.6 0 1 0
2019-06-02 vs. WSH $3.7K $2.8K 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-06-01 vs. WSH $3.9K $3K 0 0 0 4 0 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-05-31 vs. WSH $3.8K $3.1K 7 9.5 0 4 0.25 1 0 0 0 1 0.25 0 5 0 0 0 0 0 0.4 1 0 1 0.65 0
2019-05-29 vs. PIT $4.2K $3.2K 4 6 0 2 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.5 0 0 2 0.5 1
2019-05-28 vs. PIT $3.8K $3K 5 6.2 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 1 0.33 0 0 0 0.67 0
2019-05-27 vs. PIT -- -- 21 28.4 0 4 1.25 2 1 0 0 1 0.5 0 4 0 0 1 1 2 0.5 2 0.75 0 1.75 0
2019-05-27 vs. PIT $4.3K $3K 0 0 0 5 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0
2019-05-26 @ CHC $3.8K $2.7K 6 6 0 5 0.4 2 1 0 0 2 0.5 0 5 0 0 0 0 0 0.4 0 0 0 0.8 0
2019-05-25 @ CHC $3.8K $2.7K 14 18.7 0 5 0.8 1 2 0 0 0 0 0 5 0 0 1 1 1 0.2 1 0.6 0 1 0
2019-05-24 @ CHC $3.8K $2.8K 21 28.7 0 4 1.25 2 2 0 0 1 1 0 4 0 0 1 1 1 0.5 3 0.75 0 1.75 0
2019-05-19 vs. LAD $3.6K $2.8K 0 0 0 3 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-05-18 vs. LAD $3.8K $3K 10 13 0 4 0.5 2 0 0 0 2 0.5 0 4 0 0 0 0 0 0.5 2 0 0 1 0
2019-05-17 vs. LAD $3.9K $3.2K 0 0 0 3 0 0 3 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-05-16 vs. CHC $4.2K $3.1K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-05-15 vs. CHC $4.5K $3.2K 5 6.5 0 5 0.2 1 3 0 0 1 0.5 0 5 0 0 0 0 0 0.2 1 0 0 0.4 0
2019-05-14 vs. CHC $4.4K $3.2K 0 0 0 3 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2019-05-12 @ SF $3.8K $2.9K 16 21.7 0 3 1.33 1 1 0 0 0 0 0 4 0 0 1 1 1 0.5 1 1 1 1.83 0
2019-05-11 @ SF $3.7K $2.9K 24 31.2 0 4 1.25 2 2 0 0 1 1 0 4 0 1 1 1 1 0.5 2 0.75 0 1.75 0
2019-05-10 @ SF $3.9K $2.8K 17 22.2 0 5 0.4 2 0 0 0 2 0.4 0 5 0 1 0 0 1 0.4 2 0 0 0.8 0
2019-05-09 @ OAK $3.4K $2.8K 8 9 0 4 0.25 1 2 0 0 1 0.5 0 4 0 1 0 0 0 0.25 0 0 0 0.5 0
2019-05-08 @ OAK $3.9K $2.7K 4 6.2 0 5 0 0 1 0 1 0 0 0 6 0 0 0 0 1 0.17 0 0 1 0.17 0
2019-05-07 @ OAK $3.9K $2.7K 2 3 0 2 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0.33 0 0 1 0.33 0
2019-05-06 vs. SF $3.9K $2.8K 9 12.2 0 3 0.33 1 0 0 0 1 0.33 0 5 0 0 0 0 1 0.6 0 0 2 0.93 0
2019-05-05 vs. SF $3.9K $2.6K 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2019-05-04 vs. SF $3.8K $2.6K 22 28.2 0 4 1.5 3 0 0 0 2 0.67 0 4 0 0 1 1 1 0.75 2 0.75 0 2.25 0
2019-05-03 vs. SF $4K $2.7K 19 24.6 0 5 0.4 2 0 1 0 2 0.4 0 6 0 1 0 0 3 0.5 0 0 0 0.9 0
2019-05-02 @ NYM $3.7K $2.8K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-05-01 @ NYM $3.5K $2.9K 0 0 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-30 @ NYM $3.8K $3.3K 7 9 0 4 0 0 2 0 0 0 0 0 5 0 1 0 0 0 0.2 0 0 1 0.2 0
2019-04-29 @ NYM $3.8K $3.2K 9 12.2 0 4 0.5 1 2 0 0 0 0.5 1 5 0 0 0 1 1 0.4 0 0.25 1 0.9 0
2019-04-28 @ STL $3.7K $2.8K 2 3 0 3 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2019-04-27 @ STL $3.8K $2.5K 3 3 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2019-04-26 @ STL $3.9K $2.5K 23 31.9 0 5 1 2 0 0 0 1 0.25 0 5 0 0 1 1 2 0.4 3 0.6 0 1.4 0
2019-04-25 vs. ATL $3.8K $2.6K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-24 vs. ATL $3.9K $2.3K 6 6 0 4 0.5 2 1 0 0 2 0.67 0 4 0 0 0 0 0 0.5 0 0 0 1 0
2019-04-23 vs. ATL $3.9K $2.6K 21 28.7 1 4 1.25 2 0 0 0 1 0.25 0 5 0 0 1 1 1 0.4 3 0.75 0 1.65 0
2019-04-21 @ SD $3.9K $2.8K 0 0 0 4 0 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-20 @ SD $3.9K $3.1K 2 3.5 1 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0
2019-04-19 @ SD $3.9K $2.8K 3 3 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2019-04-18 @ SD $4K $2.7K 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2019-04-17 @ LAD $3.7K $2.7K 12 15.4 0 4 0.25 1 1 0 0 1 0.33 0 4 0 1 0 0 2 0.25 0 0 0 0.5 0
2019-04-16 @ LAD $3.7K $2.4K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-15 @ LAD $3.6K $2.3K 19 25.2 0 4 1.25 2 1 0 0 1 0.5 0 4 0 0 1 1 1 0.5 2 0.75 0 1.75 0
2019-04-14 vs. STL $3.9K $2.6K 19 24.7 0 5 1.2 2 0 0 1 0 0.25 1 5 0 0 1 2 1 0.4 1 0.8 0 1.6 0
2019-04-13 vs. STL $4K $2.6K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-11 vs. MIA $3.8K $2.5K 14 19 0 4 0.5 1 2 0 0 0 0.5 1 4 0 1 0 1 0 0.25 2 0.25 0 0.75 0
2019-04-07 @ PIT $4.2K $2.8K 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2019-04-06 @ PIT $4.8K $3K 5 6.5 0 4 0.25 1 2 0 0 1 0.5 0 4 0 0 0 0 0 0.25 1 0 0 0.5 0
2019-04-05 @ PIT $4.4K $3.3K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-04 @ PIT $5K $3.4K 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2019-04-03 vs. MIL $4.2K $3.3K 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2019-04-02 vs. MIL $4.5K $3K 6 6 0 4 0.5 2 0 0 0 2 0.5 0 4 0 0 0 0 0 0.5 0 0 0 1 0
2019-04-01 vs. MIL $4.5K $3.1K 11 16 0 4 0.5 1 1 0 1 0 0.33 1 5 0 0 0 1 0 0.4 2 0.25 1 0.9 0
2019-03-31 vs. PIT $4.5K $3.2K 2 3 0 3 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2019-03-28 vs. PIT $4.1K $3.2K 0 0 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-10-28 vs. BOS $4.3K $3K 3 3 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 0 0.33 0 0 0 0.67 0
2018-10-27 vs. BOS $4.3K $3K 18 25.7 0 4 1 1 0 0 0 0 0 0 4 0 0 1 1 1 0.25 3 0.75 0 1.25 0
2018-10-26 vs. BOS $4.3K $3K 6 6 0 7 0.29 2 0 0 0 2 0.29 0 7 0 0 0 0 0 0.29 0 0 0 0.57 0
2018-10-24 @ BOS $4.3K $3K 5 6.5 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 0 0.33 1 0 0 0.67 0
2018-10-23 @ BOS $4.3K $3K 2 3 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-10-20 @ MIL $4.3K $3K 26 34.7 0 4 1.75 3 0 0 1 1 0.67 1 4 0 0 1 2 1 0.75 3 1 0 2.5 0
2018-10-19 @ MIL $4.3K $3K 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-10-17 vs. MIL $4.3K $3K 10 12.5 0 2 1.5 2 0 0 0 1 1 1 2 0 0 0 1 0 1 1 0.5 0 2.5 0
2018-10-16 vs. MIL $4.2K $2.6K 3 3 0 3 0.33 1 2 0 0 1 1 0 3 0 0 0 0 0 0.33 0 0 0 0.67 0
2018-10-15 vs. MIL $4.4K $2.6K 7 9 0 3 0.67 1 1 0 0 0 0.5 1 4 0 0 0 1 0 0.5 0 0.33 1 1.17 0
2018-10-13 @ MIL -- -- 0 0 0 4 0 0 1 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-10-12 @ MIL -- -- 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-10-08 @ ATL -- -- 15 18.2 0 3 0.67 2 1 0 0 2 1 0 4 0 1 0 0 1 0.75 0 0 1 1.42 1
2018-10-07 @ ATL -- -- 2 3 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0.5 0 0 1 0.5 0
2018-10-05 vs. ATL -- -- 10 12 0 2 0.5 1 0 0 0 1 0.5 0 3 0 1 0 0 0 0.67 0 0 1 1.17 0
2018-10-04 vs. ATL -- -- 4 6.2 0 3 0 0 2 0 0 0 0 0 4 0 0 0 0 1 0.25 0 0 1 0.25 0
2018-10-01 vs. COL -- -- 5 6 0 4 0.5 1 1 0 0 0 0.33 1 4 0 0 0 1 0 0.25 0 0.25 0 0.75 0
2018-09-30 @ SF -- -- 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2018-09-29 @ SF -- -- 21 27.9 0 5 1 2 2 0 0 1 0.5 0 6 0 0 1 1 2 0.5 1 0.6 1 1.5 0
2018-09-28 @ SF -- -- 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2018-09-26 @ ARI -- -- 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-09-25 @ ARI -- -- 0 0 0 4 0 0 1 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-09-24 @ ARI -- -- 5 6.2 0 2 0.5 1 0 0 0 1 0.5 0 2 0 0 0 0 1 0.5 0 0 0 1 0
2018-09-22 vs. SD -- -- 2 3 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-09-21 vs. SD -- -- 5 6.5 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 1 0 0 0.5 0
2018-09-19 vs. COL -- -- 18 25.7 0 1 4 1 0 0 0 0 0 0 1 0 0 1 1 1 1 3 3 0 5 0
2018-09-17 vs. COL -- -- 6 6 0 4 0.5 2 1 0 0 2 0.67 0 4 0 0 0 0 0 0.5 0 0 0 1 0
2018-09-16 @ STL -- -- 2 3 0 3 0 0 1 0 1 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-09-15 @ STL -- -- 50 70.1 0 6 2 3 1 0 0 0 0 0 6 0 0 3 3 3 0.5 7 1.5 0 2.5 0
2018-09-14 @ STL -- -- 31 40.4 0 4 2.25 3 1 0 0 1 1 0 4 0 0 2 2 2 0.75 2 1.5 0 3 0
2018-09-13 @ STL -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-09-12 @ CIN -- -- 22 27.4 0 4 1 3 1 0 0 2 1 1 5 0 1 0 1 2 0.8 0 0.25 1 1.8 0
2018-09-11 @ CIN -- -- 2 3 0 2 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0.33 0 0 1 0.33 0
2018-09-10 @ CIN -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-09-09 @ COL -- -- 2 3 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0
2018-09-08 @ COL -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-09-07 @ COL -- -- 19 25.2 0 4 1.25 2 0 0 0 1 0.33 0 4 0 0 1 1 1 0.5 2 0.75 0 1.75 0
2018-09-03 vs. NYM -- -- 7 9 0 2 0 0 0 0 1 0 0 0 3 0 1 0 0 0 0.33 0 0 1 0.33 0
2018-09-01 vs. ARI -- -- 0 0 0 2 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2018-08-31 vs. ARI -- -- 5 6.2 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 1 0.33 0 0 0 0.67 0
2018-08-30 vs. ARI -- -- 0 0 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-08-29 @ TEX -- -- 8 9 0 3 1 1 1 0 0 0 0.5 0 3 1 0 0 1 0 0.33 0 0.67 0 1.33 0
2018-08-26 vs. SD -- -- 0 0 0 4 0 0 3 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-08-25 vs. SD -- -- 15 18 0 4 0.25 1 1 0 0 1 0.33 0 5 0 2 0 0 0 0.4 0 0 1 0.65 0
2018-08-22 vs. STL -- -- 3 3 0 3 0.33 1 1 0 0 1 0.5 0 3 0 0 0 0 0 0.33 0 0 0 0.67 0
2018-08-21 vs. STL -- -- 4 6.5 0 3 0 0 1 1 1 0 0 0 4 0 0 0 0 0 0.25 1 0 0 0.25 0
2018-08-20 vs. STL -- -- 3 3 0 1 1 1 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 0 2 0
2018-08-19 @ SEA -- -- 17 22 0 5 0.2 1 0 0 0 1 0.2 0 5 0 2 0 0 0 0.2 2 0 0 0.4 0
2018-08-18 @ SEA -- -- 3 3 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2018-08-15 vs. SF -- -- 7 9.2 0 4 0.5 1 1 0 0 0 0.33 1 4 0 0 0 1 1 0.25 0 0.25 0 0.75 0
2018-08-14 vs. SF -- -- 0 0 0 3 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2018-08-13 vs. SF -- -- 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-08-12 @ COL -- -- 10 12.2 0 3 0.67 2 0 0 0 2 0.67 0 4 0 0 0 0 1 0.75 0 0 1 1.42 0
2018-08-11 @ COL -- -- 22 27.7 0 4 1.25 2 1 0 0 1 0.5 0 4 0 1 1 1 1 0.5 1 0.75 0 1.75 0
2018-08-10 @ COL -- -- 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-08-09 @ COL -- -- 5 6.2 0 1 1 1 0 0 0 1 1 0 1 0 0 0 0 1 1 0 0 0 2 0
2018-08-08 @ OAK -- -- 2 3 0 3 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-08-07 @ OAK -- -- 11 12 0 4 0.5 2 1 0 1 2 0.67 0 4 0 1 0 0 0 0.5 0 0 0 1 0
2018-08-04 vs. HOU -- -- 0 0 0 4 0 0 1 0 2 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-08-02 vs. MIL -- -- 37 50.6 0 5 1.8 3 1 0 0 1 0.5 0 5 0 0 2 2 3 0.6 4 1.2 0 2.4 0
2018-08-01 vs. MIL -- -- 10 12.5 0 4 0.75 2 1 0 0 1 0.67 1 4 0 0 0 1 0 0.5 1 0.25 0 1.25 0
2018-07-31 vs. MIL -- -- 3 3 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 0 0.33 0 0 0 0.67 0
2018-07-30 vs. MIL -- -- 2 3 0 3 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-07-29 @ ATL -- -- 2 3 0 2 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0.33 0 0 1 0.33 0
2018-07-28 @ ATL -- -- 22 31.9 1 2 2 1 0 0 0 0 0 0 4 0 0 1 1 2 0.5 3 1.5 1 2.5 0
2018-07-08 @ LAA -- -- 18 25.7 0 2 2 1 1 0 0 0 0 0 1 0 0 1 1 1 0.5 3 1.5 0 2.5 0
2018-07-07 @ LAA -- -- 19 24.9 0 4 1.25 2 2 0 0 1 1 0 4 0 0 1 1 2 0.5 1 0.75 0 1.75 0
2018-07-06 @ LAA -- -- 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-07-04 vs. PIT -- -- 3 3 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2018-07-03 vs. PIT -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-07-02 vs. PIT -- -- 21 29 0 5 1 3 0 0 0 1 0.6 2 5 0 0 0 2 0 0.6 4 0.4 0 1.6 0
2018-07-01 vs. COL -- -- 7 9.2 0 4 0.5 1 0 0 0 0 0.25 1 4 0 0 0 1 1 0.25 0 0.25 0 0.75 0
2018-06-30 vs. COL -- -- 0 0 0 3 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-06-29 vs. COL -- -- 5 6 0 2 0.5 1 0 0 0 1 0.5 0 3 0 0 0 0 0 0.67 0 0 1 1.17 0
2018-06-28 vs. CHC -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-06-27 vs. CHC -- -- 9 9 0 5 0.6 3 0 0 0 3 0.6 0 5 0 0 0 0 0 0.6 0 0 0 1.2 0
2018-06-26 vs. CHC -- -- 0 0 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-06-25 vs. CHC -- -- 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-06-24 @ NYM -- -- 13 15 0 4 0.5 2 1 0 0 2 0.67 0 5 0 1 0 0 0 0.6 0 0 1 1.1 0
2018-06-23 @ NYM -- -- 3 3 0 5 0.2 1 2 0 0 1 0.33 0 5 0 0 0 0 0 0.2 0 0 0 0.4 0
2018-06-22 @ NYM -- -- 17 21.7 0 4 1.25 2 1 0 0 1 0.5 0 4 0 0 1 1 1 0.5 1 0.75 0 1.75 0
2018-06-20 @ CHC -- -- 3 3 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 0 0.33 0 0 0 0.67 0
2018-06-19 @ CHC -- -- 2 3 0 4 0 0 0 0 1 0 0 0 5 0 0 0 0 0 0.2 0 0 1 0.2 0
2018-06-19 @ CHC -- -- 9 12.5 0 3 0.67 1 0 0 0 0 0.33 1 4 0 0 0 1 0 0.5 1 0.33 1 1.17 0
2018-06-17 vs. SF -- -- 0 0 0 3 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-06-16 vs. SF -- -- 2 3 0 3 0 0 0 0 1 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 1
2018-06-15 vs. SF -- -- 7 9.5 0 4 0.5 1 1 0 0 0 0.33 1 4 0 0 0 1 0 0.25 1 0.25 0 0.75 0
2018-06-13 vs. TEX -- -- 13 18.2 0 2 0 0 0 0 0 0 0 0 5 0 1 0 0 1 0.6 0 0 3 0.6 1
2018-06-12 vs. TEX -- -- 25 34.9 0 4 1.5 2 2 0 0 0 1 1 4 0 0 1 2 2 0.5 3 1 0 2 0
2018-06-10 vs. ATL -- -- 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-06-09 vs. ATL -- -- 15 18.4 0 4 1 3 0 0 0 2 0.75 1 4 0 0 0 1 2 0.75 0 0.25 0 1.75 0
2018-06-08 vs. ATL -- -- 5 6.5 0 2 0.5 1 0 0 0 1 0.5 0 2 0 0 0 0 0 0.5 1 0 0 1 0
2018-06-07 @ PIT -- -- 7 9.5 0 1 2 1 0 0 0 0 1 1 1 0 0 0 1 0 1 1 1 0 3 0
2018-06-06 @ PIT -- -- 0 0 0 4 0 0 1 0 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-06-05 @ PIT -- -- 14 18.7 0 4 1 1 2 0 0 0 0 0 4 0 0 1 1 1 0.25 1 0.75 0 1.25 0
2018-06-03 @ COL -- -- 10 12.2 0 4 0.75 2 2 0 0 1 1 1 4 0 0 0 1 1 0.5 0 0.25 0 1.25 0
2018-06-02 @ COL -- -- 9 12.7 0 4 0.25 1 0 0 0 1 0.25 0 5 0 0 0 0 1 0.4 1 0 1 0.65 0
2018-06-01 @ COL -- -- 31 40.6 0 5 1.6 4 1 0 0 2 1 1 5 0 0 1 2 3 0.8 2 0.8 0 2.4 0
2018-05-31 vs. PHI -- -- 7 9.2 0 3 0.67 1 0 0 0 0 0.33 1 3 0 0 0 1 1 0.33 0 0.33 0 1 0
2018-05-29 vs. PHI -- -- 2 3 0 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-05-28 vs. PHI -- -- 10 12.4 0 3 0.67 2 0 0 0 2 0.67 0 3 0 0 0 0 2 0.67 0 0 0 1.33 0
2018-05-27 vs. SD -- -- 3 3 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 0 0.33 0 0 0 0.67 0
2018-05-26 vs. SD -- -- 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-05-25 vs. SD -- -- 0 0 0 3 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-05-23 vs. COL -- -- 5 6.5 0 3 0.33 1 0 0 0 1 0.33 0 3 0 0 0 0 0 0.33 1 0 0 0.67 0
2018-05-22 vs. COL -- -- 20 28.2 0 1 4 1 0 0 0 0 0 0 3 0 0 1 1 1 1 2 3 2 5 0
2018-05-20 @ WSH -- -- 16 22.2 0 4 1 1 0 0 1 0 0 0 4 0 0 1 1 1 0.25 2 0.75 0 1.25 0
2018-05-19 @ WSH -- -- 10 12 0 4 0.5 1 2 0 1 0 0.5 1 4 0 1 0 1 0 0.25 0 0.25 0 0.75 0
2018-05-19 @ WSH -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-05-17 @ MIA -- -- 23 30.9 0 3 1.67 2 1 0 0 1 1 0 5 0 0 1 1 2 0.8 1 1 2 2.47 0
2018-05-16 @ MIA -- -- 0 0 0 4 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-05-15 @ MIA -- -- 18 24.7 0 2 2 1 1 0 0 0 0 0 4 0 0 1 1 1 0.75 1 1.5 2 2.75 0
2018-05-13 vs. CIN -- -- 14 18.7 0 3 1.33 1 1 0 0 0 0 0 3 0 0 1 1 1 0.33 1 1 0 1.67 0
2018-05-12 vs. CIN -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-05-11 vs. CIN -- -- 0 0 0 3 0 0 1 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-05-10 vs. CIN -- -- 0 0 0 4 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-05-09 vs. ARI -- -- 13 15.4 0 4 0.75 3 0 0 0 3 0.75 0 4 0 0 0 0 2 0.75 0 0 0 1.5 0
2018-04-28 @ SF -- -- 0 0 0 2 0 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
2018-04-27 @ SF -- -- 14 18.7 0 4 0.5 1 0 0 0 0 0.25 1 4 0 1 0 1 1 0.25 1 0.25 0 0.75 0
2018-04-24 vs. MIA -- -- 0 0 0 4 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
2018-04-23 vs. MIA -- -- 0 0 0 3 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-04-22 vs. WSH -- -- 0 0 0 3 0 0 2 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-04-21 vs. WSH -- -- 8 9 0 3 0.33 1 1 0 0 1 0.5 0 3 0 1 0 0 0 0.33 0 0 0 0.67 0
2018-04-20 vs. WSH -- -- 5 6.5 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 1 0 0 0.5 0
2018-04-18 @ SD -- -- 7 9.7 0 2 0.5 1 0 0 0 1 0.5 0 2 0 0 0 0 1 0.5 1 0 0 1 0
2018-04-17 @ SD -- -- 10 12 0 5 0.2 1 1 0 0 1 0.25 0 6 0 1 0 0 0 0.33 0 0 1 0.53 0
2018-04-16 @ SD -- -- 2 3 0 4 0 0 1 0 0 0 0 0 5 0 0 0 0 0 0.2 0 0 1 0.2 0
2018-04-15 vs. ARI -- -- 9 13.2 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 1 0.25 2 0 0 0.5 0
2018-04-14 vs. ARI -- -- 12 15.2 0 4 1 2 0 0 0 0 0.5 2 4 0 0 0 2 1 0.5 0 0.5 0 1.5 0
2018-04-13 vs. ARI -- -- 8 12.4 0 2 0 0 1 0 0 0 0 0 4 0 0 0 0 2 0.5 0 0 2 0.5 0
2018-04-11 vs. OAK -- -- 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
2018-04-10 vs. OAK -- -- 3 3 0 4 0.25 1 1 0 0 1 0.33 0 4 0 0 0 0 0 0.25 0 0 0 0.5 0
2018-04-08 @ SF -- -- 8 9.2 0 5 0.4 2 0 0 0 2 0.4 0 5 0 0 0 0 1 0.4 0 0 0 0.8 0
2018-04-07 @ SF -- -- 9 12.4 0 6 0.17 1 1 0 1 1 0.2 0 7 0 0 0 0 2 0.29 0 0 1 0.45 0
2018-04-04 @ ARI -- -- 2 3 0 3 0 0 2 0 0 0 0 0 4 0 0 0 0 0 0.25 0 0 1 0.25 0
2018-04-03 @ ARI -- -- 5 6 0 4 0.5 1 0 0 0 0 0.25 1 4 0 0 0 1 0 0.25 0 0.25 0 0.75 0
2018-04-02 @ ARI -- -- 3 3 0 8 0.13 1 0 0 1 1 0.13 0 8 0 0 0 0 0 0.13 0 0 0 0.25 0
2018-04-01 vs. SF -- -- 17 21.9 0 4 1 3 1 0 0 2 1 1 4 0 0 0 1 2 0.75 1 0.25 0 1.75 0
2018-03-31 vs. SF -- -- 2 3.5 1 3 0 0 1 0 0 0 0 0 4 0 0 0 0 0 0 1 0 0 0 0
2018-03-30 vs. SF -- -- 0 0 0 3 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0
2018-03-29 vs. SF -- -- 7 9 0 3 0 0 2 0 0 0 0 0 4 0 1 0 0 0 0.25 0 0 1 0.25 0

Yasiel Puig Daily Fantasy News, Rankings, Projections

Ross Detwiler has a .397 xwOBA with the second highest rate of Barrels/BBE (10.7%) on the board

Ross Detwiler has generated ground balls at a 52.5% clip when contact has been made against him this year and that’s about the only positive concerning his performance. A 6.2 K-BB% results in not a single estimator below 5.37 and he’s still allowed 18 HRs in 59.1 innings with the second highest rate of Barrels/BBE on the board (10.7%) and a .397 xwOBA. If you can imagine it, it’s been even worse over the last month (10 BB%, 8.05 SIERA, .465 xwOBA). To make matters worse (or better depending on your perspective), the forecast calls for winds blowing out to left-center and a significant boost to both run scoring and power tonight. Among the first eight batters in the projected lineup, Francisco Lindor (110 wRC+, .185 ISO), Yasiel Puig (110 wRC+, .158 ISO) and Jose Ramirez (96 wRC+, .178 ISO) are the only batters below a .200 ISO vs LHP this season. Stack the heck out of this lineup, implied for 6.39 runs, in whatever ways fit.

Indians bats are decently affordable in nice matchup vs. Vargas

Vargas has had an up and down year that’s ultimately amounted to a 4.48 ERA / 5.45 xFIP / 5.24 SIERA with a 1.34 WHIP, 1.23 HR/9 and 9.7% SwStr. With an average velo of 84.3 on his fastball that he uses 50% of the time, it’s surprising his numbers aren’t even worse. Vargas has struggled to a 7.17 ERA and .353 xwOBA over the past 30 days and gets a matchup tonight on the road in Cleveland versus a good Indians lineup. Jordan Luplow (.396 xwOBA vs. LHP this year), Carlos Santana (.374), Franmil Reyes (.354), Francisco Lindor (.342), Yasiel Puig (.329) and Oscar Mercado (.313) are all good options. With the exception of Lindor ($5.3k), no Cleveland hitter is more than $4.7k on Draftkings. Mercado (batting 2nd, $4.3k), Puig (batting 4th, $4.2k), Luplow (batting 5th, $4.5k) and Reyes (batting 6th, $3.8k) are all decent values. Pricing is similar on Fanduel, where Lindor and Santana are $4k+ but Puig, Mercado, Luplow and Reyes are all great values there as well. The Indians currently have a 5.90 impled total and don’t project to be too chalky on this slate.

Righties In The Outfield

The Indians just miss my top tier of overall offenses, but they have three good right-handed outfielders at very reasonable salaries that can fit in all formats tonight. Drew Smyly brings some strikeout upside, but he can get wild, and he also allows a ton of hard contact and fly balls, giving the top six bats in the Indians lineup home run upside, likely with runners on base. Franmil Reyes is my top choice on DK/FDRFT while Yasiel Puig is a little better priced on FD/Yahoo. You can also add Oscar Mercado to this mix, particularly on FD at another low salary.

Play The Motivation Angle

It is at this time of year where I really start giving a boost to teams that have something to play for. The Indians remain in the thick of the AL playoff race, and they have an implied team total north of six runs tonight against Spencer Turnbull and the Tigers. Turnbull is not a gas can, but he has allowed a .361 wOBA and a hard contact rate well over 40% to LHBs this year. That makes Lindor a priority play for me here, with Jakob Bauers filling a nice value need. You can also fire up the full GPP stack for plenty of upside.

Zach Pleasac and Jose Suarez both have an xwOBA above .400 last 30 days

Jose Suarez has stopped missing bats (11.6 K% last 31.1 innings) and has the highest xwOBA on the board over the last month (.408). Zach Plesac, incidentally, has the second highest (.402) in the other dugout tonight. On the season, RHBs have now punished him for a .419 wOBA with Statcast only marginally better (.376 xwOBA). The Tribe are the lowest of nine teams above five implied runs tonight (5.05) and they might be getting short changed in this spot. This projected lineup boasts four RHBs above a 115 wRC+ and .200 ISO vs LHP this year, led by Carlos Santana (159 wRC+, .235 ISO) and Jordan Luplow (168 wRC+, .345 ISO). Roberto Perez (116 wRC+, .243 ISO) is an interesting punt Catcher play and Franmil Reyes (116 wRC+, .233 ISO) is generally all or nothing. Although it’s their worse split, Francisco Lindor (108 wRC+, .183 ISO) and Yasiel Puig (92 wRC+, .158 ISO) are certainly viable in this spot too.

Indians currently have the highest total on the slate vs. Skoglund

The Royals are calling 6’7 lefty Eric Skoglund up from AAA to make this start in Cleveland vs. the Indians. Over 63 innings (11 starts) in AAA, Skoglund had a 6.14 ERA, 6.49 xFIP, 1.71 HR/9, 9.3% K-BB, 1.52 WHIP and 42% FB rate. Over 88 career MLB innings, Skoglund has a 6.03 ERA and 5.13 xFIP. Skoglund has no problem with control as evidenced by his 6.1% BB rate in AAA this year and career 8% BB rate, but lacks swing and miss stuff (career 16.3% K rate, 7.2% SwStr) and his approach leads to him often getting hammered (career 90.2 MPH aEV, .353 xwOBA allowed). Though they just lost Jose Ramirez to the IL, the Indians suddenly have a dangerous lineup after acquiring Yasiel Puig and Franmil Reyes at the deadline and have some nice options tpday. Carlos Santana (.358 xwOBA vs. LHP this year), Yasiel Puig (.341), Francisco Lindor (.338), Franmil Reyes (.321), Oscar Mercado (.315) and Jason Kipnis (.286) are all in play. Santana has been their hottest bat with a .419 xwOBA over the past 14 days. Franmil Reyes is a nice value batting 5th at just $3.8k, followed by Jason Kipnis at $3.9k. The Indians have a 6.14 implied total vs. Skoglund and the Royals.

Attacking This Pitcher

While I prefer Yasiel Puig against righties, Eric Skoglund has shown nothing in his minor league (and major league) numbers he deserves to be pitching at this level. While he’s had good control (19 walks), he’s allowed 93 hits in 73 innings this year between Double-A and Triple-A. He has a career 6.03 ERA in the majors and I’m loading up on Indians today.

Indians’ bats are a sneaky option vs. struggling Odorizzi

With Jose Ramirez looking like himself again and newly acquired Yasiel Puig and Franmil Reyes in the lineup, the Indians suddenly have a dangerous offense. They’ll face Jake Odorizzi, who started the season hot but has really fallen apart of late. Since July 1st, Odorizzi has posted a 6.21 ERA, 5.60 xFIP and 9.9% K-BB with a 1.55 WHIP, 2.2 HR/9 and 88.4 MPH aEV. Odorizzi has a bit of a reverse platoon split, but can be targeted from both sides of the plate. Carlos Santana (.375 xwOBA vs. RHP this year), Franmil Reyes (.367), Jason Kipnis (.358), Jose Ramirez (.339), Francisco Lindor (.337), Tyler Naquin (.336) and Yasiel Puig (.324) are all good options tonight. Jason Kipnis has been the Indians’ hottest hitter with a .427 xwOBA over the past 14 days, followed by Jose Ramirez with a .414 mark. Franmil Reyes has been cold (.227) but costs only $3.4k on Draftkings. Other good values include Yasiel Puig ($4k), Jose Ramirez ($4.3k), Jason Kipnis ($4.1k) and Tyler Naquin ($3.5k). The Indians should see decently low ownership Saturday night and make for an intriguing stack in tournaments. They currently have a 4.55 implied line.

Reverse-Splits Hitter Meets Reverse-Splits Pitcher

I like the Cleveland Indians righties today, especially Yasiel Puig and Franmil Reyes. Puig is especially appealing at his price point and batting order spot. His opponent, Jaime Baria, has shown signs of being a reverse-splits pitching, meaning he's a right-hander but struggles more against righties. On the season, Baria is allowing a .392 wOBA to righties compared to a .323 wOBA to lefties. On the flipside, Yasiel Puig has also shown signs of being a reverse-splits hitter. Despite being right-handed, Puig has shown more power once again this season against right-handed pitching, owning a .223 ISO compared to a .205 ISO versus lefties. The same can be said of teammate Franmil Reyes, who has his 24 of his 27 home runs this season against righties. Reyes profiles as a better GPP option, but I like Puig in all formats.

Reds have 2nd highest total on the main slate vs. Peter Lambert

Peter Lambert does a good job limiting walks (just a 4.4% BB rate this year) but doesn’t miss enough bats (17% K rate, 7.5% SwStr) and gives up a good amount of hard contact (39% Hard contract rate, 90.5 MPH aEV). He’s also allowed a 2.20 HR/9 so far over his 41 innings for the Rockies. Lambert has been a bit more vulnerable versus lefties with a .354 xwOBA allowed vs. LHB compared to a .316 xwOBA allowed vs. RHB. Josh VanMeter (.380 xwOBA vs. RHP this year), Joey Votto (.332), Yasiel Puig (.330), Eugenio Suarez (.321) and Nick Senzel (.312) are all great options. VanMeter has been the Reds’ hottest hitter by far with a .517 xwOBA over the past 30 days, followed by Nick Senzel (.374) and Eugenio Suarez (.368). Scooter Gennett is also an interesting option, he has just a .261 xwOBA over the past 14 days but had a 134 wRC+ vs. RHP last year and costs $3.4k on Draftkings. VanMeter is probably the best value in the lineup, batting 5th at just $3.6k, while Votto is also a nice value batting 2nd at $4k. The Reds currently have a 5.82 implied line at home vs. Lambert and the Rockies.