Matchup Machine

Fernando Tatis Jr.

sometext

matchup for Michael Wacha

432nd out of 436 (Worst 1%)

sometext

Michael Wacha

sometext

matchup for F. Tatis Jr.

200th out of 567 (Best 36%)

Extreme advantage for Tatis Jr.
10

Model Prediction

Fernando Tatis Jr. has a 36.5% chance of reaching base vs Michael Wacha, which is 0.7% higher than Tatis Jr.'s typical expectations, and 5.3% higher than batters facing Wacha.

Reach Hit HR 2B / 3B 1B BB K
Prediction36.5%27.2%3.9%6.5%16.8%9.3%16.8%
Tatis Jr.+0.7+1.7-0.1+0.5+1.2-1.0-4.6
Wacha+5.3+4.1+1.2+1.4+1.5+1.3-4.6

Handedness and Release Point

Click on a grade for a detailed view

Fernando Tatis Jr. is better vs right-handed pitching. Michael Wacha is right handed with a moderate release toward the third base side. Tatis Jr. has an A+ grade vs this particular release point.

Left Arrow
Show Vertical Release

On the Way to the Plate

Click on a grade for a detailed view

Michael Wacha throws a Changeup 32% of the time. Fernando Tatis Jr. has an A- grade against right-handed Changeups

Pitch Type % of Arsenal    Changeup (R)
32%
   4-Seam (R)
31%
   Cutter (R)
17%
   Sinker (R)
11%
   Curve (R)
8%

Contact and Outcomes

12.5% of Fernando Tatis Jr.'s plate appearances result in a strikeout, which is 3.6% lower than the league average. Michael Wacha strikes out 16.3% of the batters he faces, which is 0.4% higher than the typical MLB rate.

MLB Typical BP Label 16%         Strikeout -3.6% +0.4% 5%         Walk -0.8% -2.0% 38%         In Play +4.4% +1.5% 39%         On Base +5.3% -3.0% 31%         Hit +6.2% -1.0% 14%         Single +1.0% -0.6% 13%         2B / 3B +1.4% -0.5% 3%         Home Run +3.8% +0.1%

History

Fernando Tatis Jr. has 3 plate appearances against Michael Wacha in the last 3 years. He is 1 for 3 with a double and

PA AB H HR 2/3B 1B K BB Avg
Actual331010000.333
Expected From Contact →1.170.770.220.180.389
Expected From Contact
Date Outcome HR 2/3B 1B Out
2024-05-31Double77%21%1%
2024-05-31Groundout14%86%
2024-05-31Groundout4%96%

Expected From Contact: A model predicts the outcome of every ball hit in play based on how it leaves the bat (exit velocity, launch angle, direction, and batter handedness). This helps control for luck, weather, and the park the hitter was in.