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With no line posted, over 33 MLB games since August 2026, Oneil Cruz has gone over a balanced line of 0.5 hits 23 times (70%), and over their last 10 they have done it 7 times (70%). They average 1.1 hits across those 33 games. Their last 5 average 0.8, 29% below their 1.1 this season (33 games). These are measured box-score results from Pittsburgh Pirates 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 | 33 | 1.1 hits | Over 0.5 | 23 of 33 (70%) |
| Home Runs | 33 | 0.2 home runs | Over 0.5 | 6 of 33 (18%) |
| RBIs | 33 | 0.7 RBIs | Over 0.5 | 14 of 33 (42%) |
| Market | Line | All logged | Last 10 |
|---|---|---|---|
| Hits | Over 0.5 | 23 of 33 (70%) | 7 of 10 (70%) |
| Hits | Over 1.5 | 9 of 33 (27%) | 4 of 10 (40%) |
| Hits | Over 2.5 | 4 of 33 (12%) | 1 of 10 (10%) |
| Home Runs | Over 0.5 | 6 of 33 (18%) | 2 of 10 (20%) |
| RBIs | Over 0.5 | 14 of 33 (42%) | 3 of 10 (30%) |
| RBIs | Over 1.5 | 7 of 33 (21%) | 1 of 10 (10%) |
Every market measured for Oneil Cruz, on the same row as the game it came from. A dash means the box score carried no value in that market for that game, which is not the same as a zero.
| Date | Opponent | Venue | Hits | Home Runs | RBIs |
|---|---|---|---|---|---|
| 2026-09-26 | Detroit Tigers | Away | 0 | 0 | 0 |
| 2026-09-25 | Detroit Tigers | Away | 1 | 0 | 0 |
| 2026-09-24 | St. Louis Cardinals | Home | 2 | 0 | 0 |
| 2026-09-22 | St. Louis Cardinals | Home | 0 | 0 | 0 |
| 2026-09-20 | Kansas City Royals | Home | 1 | 1 | 1 |
| 2026-09-19 | Kansas City Royals | Home | 2 | 0 | 0 |
| 2026-09-18 | Kansas City Royals | Home | 3 | 0 | 0 |
| 2026-09-17 | Milwaukee Brewers | Home | 1 | 0 | 2 |
| 2026-09-16 | Milwaukee Brewers | Home | 2 | 1 | 1 |
| 2026-09-15 | Milwaukee Brewers | Home | 0 | 0 | 0 |
| 2026-09-13 | Chicago Cubs | Away | 1 | 0 | 0 |
| 2026-09-12 | Chicago Cubs | Away | 0 | 0 | 0 |
| 2026-09-11 | Chicago Cubs | Away | 1 | 0 | 1 |
| 2026-09-10 | Chicago White Sox | Away | 3 | 1 | 2 |
| 2026-09-09 | Chicago White Sox | Away | 1 | 0 | 0 |
| 2026-09-08 | Chicago White Sox | Away | 3 | 0 | 2 |
Counted from the same 33 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 | 1 |
| 75th percentile | 2 |
| Highest logged game | 4 |
29 of 33 games (88%) landed between 0 and 2; 23 (70%) finished at or above the 1 median, and the spread from 0 to 4 is the whole range of the log. Nearest-rank, so every figure is a score Oneil Cruz actually recorded.
| Month | Logged games | Average |
|---|---|---|
| September 2026 | 22 | 1.2 |
| August 2026 | 11 | 0.9 |
| Gap | Logged games | Average |
|---|---|---|
| 1 day | 25 | 1 |
| 2 days | 7 | 1.7 |
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 |
|---|---|---|---|
| St. Louis Cardinals | 5 | 1.4 | 2 |
| Detroit Tigers | 4 | 0.8 | 1 |
| Chicago White Sox | 3 | 2.3 | 3 |
| Kansas City Royals | 3 | 2 | 3 |
| San Francisco Giants | 3 | 1.7 | 4 |
| Milwaukee Brewers | 3 | 1 | 2 |
Most-faced in this log is St. Louis Cardinals, 5 games at 1.4, best of 2. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Against their own 1 median rather than a posted line, Oneil Cruz's longest run at or above it is 5 games and the run open at the newest of the 33 is 0. Whether the bigger games cluster, not when the next one is.
Oneil Cruz has gone over 0.5 hits in 23 of 33 logged games (70%).
At home they average 1.2 over 16 games; away, 1.1 over 17.
Oneil Cruz has gone over 0.5 home runs in 6 of 33 logged games (18%).
At home they average 0.2 over 16 games; away, 0.2 over 17.
Oneil Cruz has gone over 0.5 RBIs in 14 of 33 logged games (42%).
At home they average 0.8 over 16 games; away, 0.6 over 17.
Prop history for Oneil Cruz of the Pittsburgh Pirates. Nothing is priced right now, so what follows is the record in Hits, Home Runs and RBIs: 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.