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Across 397 MLB players with at least 10 logged games in strikeouts, this page measures 7638 games in total. The median player in that field averages 1.3 strikeouts. The line closest to a coin flip sits at 1.5 for the median of the 397 players whose distribution supports one. Half the field is more often over it, half more often under. The deepest sample here is Hunter Gaddis, with 41 logged games. Of the 289 players whose spread can be measured, 25 cluster tightly around their average, 138 vary moderately and 126 swing widely. 396 of them have at least three games home and away, so the venue gap below is measured rather than assumed. Every figure is counted from official box scores and describes games already played. It is not a projection, and on its own it says nothing about whether any price on offer is worth taking.
Each player's own most balanced threshold: the half-point line he has finished above in closest to half his logged games, measured from his distribution rather than read off a book. Deepest sample first, not best to worst. The 40 deepest samples of 397 measured; the figures above this table are over all 397.
| Player | Club | Logged games | Average | Balanced line | Hit rate there |
|---|---|---|---|---|---|
| Hunter Gaddis | Guardians | 41 | 0.9 strikeouts | Over 0.5 | 27 of 41 (66%) |
| Kevin Kelly | Rays | 39 | 0.9 strikeouts | Over 0.5 | 23 of 39 (59%) |
| Aaron Ashby | Brewers | 38 | 1.6 strikeouts | Over 1.5 | 19 of 38 (50%) |
| Brent Headrick | Yankees | 36 | 1.3 strikeouts | Over 1.5 | 14 of 36 (39%) |
| Bryan Baker | Rays | 36 | 0.8 strikeouts | Over 0.5 | 20 of 36 (56%) |
| Cade Smith | Guardians | 36 | 1.6 strikeouts | Over 1.5 | 17 of 36 (47%) |
| Bradgley Rodriguez | Padres | 35 | 1.4 strikeouts | Over 1.5 | 19 of 35 (54%) |
| Cam Booser | Rays | 35 | 0.7 strikeouts | Over 0.5 | 19 of 35 (54%) |
| Alex Vesia | Dodgers | 34 | 1.0 strikeouts | Over 0.5 | 23 of 34 (68%) |
| Bryan Abreu | Astros | 34 | 1.4 strikeouts | Over 1.5 | 14 of 34 (41%) |
| Yuki Matsui | Padres | 34 | 1.1 strikeouts | Over 1.5 | 10 of 34 (29%) |
| Adrian Morejon | Padres | 33 | 1.5 strikeouts | Over 1.5 | 17 of 33 (52%) |
| Erik Sabrowski | Guardians | 33 | 1.1 strikeouts | Over 1.5 | 10 of 33 (30%) |
| Evan Phillips | Dodgers | 33 | 1.0 strikeouts | Over 0.5 | 21 of 33 (64%) |
| Mason Fluharty | Blue Jays | 33 | 0.6 strikeouts | Over 0.5 | 15 of 33 (45%) |
| Paul Blackburn | Yankees | 33 | 1.0 strikeouts | Over 0.5 | 20 of 33 (61%) |
| Raisel Iglesias | Braves | 33 | 0.9 strikeouts | Over 0.5 | 19 of 33 (58%) |
| Tanner Scott | Dodgers | 33 | 1.2 strikeouts | Over 1.5 | 13 of 33 (39%) |
| Tim Herrin | Guardians | 33 | 1.0 strikeouts | Over 0.5 | 21 of 33 (64%) |
| Trevor Megill | Brewers | 33 | 1.0 strikeouts | Over 0.5 | 23 of 33 (70%) |
| Tyler Alexander | Rangers | 33 | 0.7 strikeouts | Over 0.5 | 18 of 33 (55%) |
| Abner Uribe | Brewers | 32 | 1.2 strikeouts | Over 1.5 | 11 of 32 (34%) |
| Didier Fuentes | Braves | 32 | 1.7 strikeouts | Over 1.5 | 16 of 32 (50%) |
| Dylan Lee | Braves | 32 | 0.9 strikeouts | Over 0.5 | 23 of 32 (72%) |
| Kevin Ginkel | Diamondbacks | 32 | 1.0 strikeouts | Over 0.5 | 19 of 32 (59%) |
| Kody Funderburk | Twins | 32 | 1.0 strikeouts | Over 0.5 | 23 of 32 (72%) |
| Mason Montgomery | Pirates | 32 | 1.6 strikeouts | Over 1.5 | 17 of 32 (53%) |
| Antonio Senzatela | Brewers | 31 | 0.7 strikeouts | Over 0.5 | 18 of 31 (58%) |
| Bennett Sousa | Astros | 31 | 0.9 strikeouts | Over 0.5 | 20 of 31 (65%) |
| Bryan Hudson | White Sox | 31 | 0.6 strikeouts | Over 0.5 | 15 of 31 (48%) |
| Chase Silseth | Rangers | 31 | 0.9 strikeouts | Over 0.5 | 20 of 31 (65%) |
| Elvis Alvarado | Athletics | 31 | 1.0 strikeouts | Over 0.5 | 22 of 31 (71%) |
| Justin Bruihl | Cardinals | 31 | 0.7 strikeouts | Over 0.5 | 15 of 31 (48%) |
| Rico Garcia | Orioles | 31 | 0.8 strikeouts | Over 0.5 | 16 of 31 (52%) |
| AJ Blubaugh | Astros | 30 | 1.2 strikeouts | Over 1.5 | 11 of 30 (37%) |
| Braydon Fisher | Blue Jays | 30 | 0.9 strikeouts | Over 0.5 | 21 of 30 (70%) |
| David Bednar | Yankees | 30 | 1.1 strikeouts | Over 1.5 | 8 of 30 (27%) |
| Josh Hader | Astros | 30 | 1.1 strikeouts | Over 0.5 | 21 of 30 (70%) |
| Luis Gastelum | Cardinals | 30 | 1.3 strikeouts | Over 1.5 | 15 of 30 (50%) |
| Mason Miller | Padres | 30 | 2.0 strikeouts | Over 1.5 | 21 of 30 (70%) |
Standard deviation in the market’s own units, and the same figure as a share of the player’s average so it means the same thing in points as in passing yards. A narrow spread means the average is close to what a typical game actually looked like; it says nothing about what the next one will look like.
| Player | Club | Logged games | Average | Standard deviation | Spread as % of average |
|---|---|---|---|---|---|
| Troy Melton | Tigers | 11 | 4.0 strikeouts | 0.7 | 18% |
| Kyle Bradish | Orioles | 10 | 3.6 strikeouts | 0.8 | 22% |
| Christian Scott | Mets | 10 | 6.2 strikeouts | 1.5 | 24% |
| Max Fried | Yankees | 12 | 5.6 strikeouts | 1.4 | 25% |
| Bryan Woo | Mariners | 12 | 6.1 strikeouts | 1.6 | 26% |
| Sonny Gray | Red Sox | 13 | 5.3 strikeouts | 1.4 | 27% |
| Chase Burns | Reds | 11 | 6.1 strikeouts | 1.6 | 27% |
| Chris Sale | Braves | 12 | 8.0 strikeouts | 2.2 | 28% |
| Cristopher Sánchez | Phillies | 14 | 6.6 strikeouts | 1.9 | 29% |
| Hayden Wesneski | Astros | 11 | 4.2 strikeouts | 1.2 | 29% |
The other end of the same measurement. A wide spread means the average describes the middle of a broad range rather than a typical night, which is worth knowing before reading anything into that average.
| Player | Club | Logged games | Average | Standard deviation | Spread as % of average |
|---|---|---|---|---|---|
| Alec Gamboa | Red Sox | 18 | 1.0 strikeouts | 1.3 | 133% |
| Chad Patrick | Brewers | 27 | 1.1 strikeouts | 1.4 | 120% |
| Danny Young | Braves | 11 | 1.0 strikeouts | 1.1 | 113% |
| Colin Rea | Cubs | 14 | 1.8 strikeouts | 2.0 | 110% |
| Chase Shugart | Phillies | 20 | 1.3 strikeouts | 1.4 | 110% |
| Tyler Wells | Rays | 29 | 1.1 strikeouts | 1.2 | 108% |
| Erik Tolman | Nationals | 15 | 1.1 strikeouts | 1.2 | 106% |
| Ray Kerr | Braves | 11 | 1.5 strikeouts | 1.6 | 105% |
| Cole Winn | Rangers | 15 | 1.1 strikeouts | 1.1 | 105% |
| Casey Legumina | Rays | 24 | 1.1 strikeouts | 1.2 | 104% |
Both averages are over the games actually played at each venue, and the game count for each is in the cell beside it. A gap measured over a handful of games either way is one you cannot distinguish from noise. This table prints the denominators so you can tell which is which. Three games a side is the floor for appearing here at all.
| Player | Club | Home (games) | Away (games) | Gap |
|---|---|---|---|---|
| Gavin Williams | Guardians | 10.0 (12) | 5.4 (5) | 4.6 at home |
| Zack Wheeler | Phillies | 8.0 (7) | 4.6 (7) | 3.4 at home |
| Griffin Jax | Rays | 6.2 (6) | 2.8 (5) | 3.4 at home |
| Kyle Harrison | Brewers | 5.5 (4) | 2.6 (7) | 2.9 at home |
| Cal Quantrill | Rangers | 3.0 (7) | 5.8 (5) | 2.8 away |
| Luis Castillo | White Sox | 4.3 (4) | 2.0 (7) | 2.3 at home |
| Tatsuya Imai | Astros | 4.3 (6) | 2.0 (4) | 2.3 at home |
| Jake Bennett | Red Sox | 3.6 (5) | 5.8 (6) | 2.2 away |
| Brandon Pfaadt | Diamondbacks | 3.1 (7) | 5.2 (6) | 2.1 away |
| Cade Winquest | Cardinals | 3.0 (3) | 0.9 (8) | 2.1 at home |
Last five logged games against the full log, reported only where the gap is more than a tenth of the player’s own average. It is a description of five games that have been played and it is not a forecast of the sixth.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Spencer Miles | Blue Jays | 3.0 strikeouts | 1.5 over 22 | 106% above |
| Anthony Gose | Royals | 1.0 strikeouts | 0.5 over 14 | 100% above |
| Jacob Waguespack | Tigers | 2.0 strikeouts | 1.0 over 26 | 93% above |
| Andrew Morris | Twins | 1.4 strikeouts | 0.8 over 28 | 87% above |
| Seth Halvorsen | Dodgers | 1.0 strikeouts | 0.5 over 11 | 83% above |
| Aaron Ashby | Brewers | 2.8 strikeouts | 1.6 over 38 | 80% above |
| Pierce Johnson | Reds | 1.2 strikeouts | 0.7 over 25 | 76% above |
| Jimmy Herget | Rockies | 1.4 strikeouts | 0.8 over 25 | 75% above |
| Juan Mejia | Rockies | 1.4 strikeouts | 0.8 over 27 | 72% above |
| Peyton Gray | Rangers | 1.8 strikeouts | 1.0 over 22 | 72% above |
The same comparison in the other direction, and the same caveat: five games is five games, and a run below a baseline is as often noise as it is a change.
| Player | Club | Last 5 | Full log | Difference |
|---|---|---|---|---|
| Mason Fluharty | Blue Jays | 0.0 strikeouts | 0.6 over 33 | 100% below |
| Bryan Hudson | White Sox | 0.0 strikeouts | 0.6 over 31 | 100% below |
| Robert Garcia | Rangers | 0.0 strikeouts | 0.5 over 11 | 100% below |
| Matt Festa | Guardians | 0.2 strikeouts | 1.1 over 28 | 83% below |
| Tim Herrin | Guardians | 0.2 strikeouts | 1.0 over 33 | 79% below |
| Paul Blackburn | Yankees | 0.2 strikeouts | 1.0 over 33 | 79% below |
| Tim Mayza | Phillies | 0.2 strikeouts | 0.9 over 24 | 77% below |
| Aaron Civale | Cubs | 0.4 strikeouts | 1.7 over 19 | 77% below |
| MacKenzie Gore | Rangers | 1.0 strikeouts | 4.2 over 14 | 76% below |
| Anthony Kay | White Sox | 0.8 strikeouts | 3.1 over 17 | 74% below |
At the half-point threshold each player has finished above in about half their logged games. It is measured per player from their own distribution rather than read off a sportsbook, which is why it is on this page at all: a posted line moves through the day and this page is rebuilt once, so a number taken from a book would be wrong by morning.
No. Nothing here is ordered by how good a bet it is, and no price is quoted anywhere on the page. The tables are ordered by sample depth, by spread and by the size of a measured gap, because those are the things a game log can actually establish.
The count is printed beside every one of them. A player only appears once they have ten or more logged games in the market, and games they did not play are absent rather than counted as zero, so an average describes games they were actually in.
No. A trend here is a comparison between a player’s last five logged games and their full log, and it is reported only when the gap is large enough to be worth naming. It is a description of what has happened, and history is not a forecast.
What these tables are measuring, explained: how to read a hit rate and what its denominator hides, what an over/under line is and what it is not.
MLB player props and live odds
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.