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With no line posted, over 16 MLB games since July 2026, Luke Maile has gone over a balanced line of 0.5 hits 6 times (38%), and over their last 10 they have done it twice (20%). They average 0.4 hits across those 16 games. Their last 5 (0.4) are in line with their 0.4 this season (16 games), so there is no recent move to read into. These are measured box-score results from Kansas City Royals games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Hits | 16 | 0.4 hits | Over 0.5 | 6 of 16 (38%) |
Counted from the same 16 logged games as the tables above. Measured history, not a projection and not a read on tonight's price.
| Percentile | Hits |
|---|---|
| Lowest logged game | 0 |
| 25th percentile | 0 |
| Median | 0 |
| 75th percentile | 1 |
| Highest logged game | 1 |
16 of 16 games (100%) landed between 0 and 1; 16 (100%) finished at or above the 0 median, and the spread from 0 to 1 is the whole range of the log. Nearest-rank, so every figure is a score Luke Maile actually recorded.
| Month | Logged games | Average |
|---|---|---|
| September 2026 | 6 | 0.3 |
| August 2026 | 8 | 0.3 |
| Gap | Logged games | Average |
|---|---|---|
| 3 to 4 days | 6 | 0 |
| 5 or more days | 7 | 0.7 |
The gap is the distance to the previous game in this log, not a rest figure. A box score does not record a game a player sat out inside it.
| Opponent | Logged games | Average | Best |
|---|---|---|---|
| Toronto Blue Jays | 3 | 0 | 0 |
| Detroit Tigers | 2 | 0.5 | 1 |
| Cleveland Guardians | 2 | 0 | 0 |
Most-faced in this log is Toronto Blue Jays, 3 games at 0, best of 0. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Luke Maile has gone over 0.5 hits in 6 of 16 logged games (38%).
At home they average 0.3 over 8 games; away, 0.5 over 8.
Prop history for Luke Maile of the Kansas City Royals. Nothing is priced right now, so what follows is the record in Hits: how often they have finished above each line their own game log supports, what their average looks like at home and away, and how much they have moved lately against their own baseline. Every figure is counted from official MLB box scores, one row per game they actually played, and rebuilt daily. None of it is a forecast, and none of it is compared with a price: when the books post this market again the live board appears at the top of this page.
Calculated by the ParlayBuilder Prop Engine.
Every figure on this page is counted from official MLB box scores, one row per game actually played. No projections, and a game the player missed is absent rather than scored as a zero. Where a hit rate is compared with the live price, it is first pulled toward that price in proportion to how thin the sample is, so three-for-three does not read here as a certainty.
Past performance does not predict future results, and Parlay Builder does not accept wagers, hold funds or settle bets. This is measured history and a price, and what you do with them is your decision.
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Not while the MLB board is down. This page keeps the measured history in the meantime and the live board reappears at the top of it the morning after the books post this market: the address does not change, so a bookmark or a link keeps working.
How often they finished above each line their own distribution supports, over all their logged games and over the last ten and five, with the game count printed beside every rate. A percentage without a denominator is not a measurement, so none appears here without one.
No. It is a record of games that have been played, and it is not compared with any price because no price is posted. Past performance does not predict future results, and Parlay Builder does not accept wagers, hold funds or settle bets.
How MLB prop markets behave, measured across the league
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.