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Over 31 logged MLB games, Michael Soroka has gone over 3.5 hits allowed 16 times (52%), and over their last 10 they have done it 4 times (40%). They average 3.8 hits allowed across those 31 games. Their last 5 (4.0) are in line with that, so there is no recent move to read into. Against the Colorado Rockies in this log they have 3 games, averaging 4.3. These are measured box-score results from Arizona Diamondbacks games, not a projection, and on their own they say nothing about whether tonight’s price is worth taking.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Strikeouts | 31 | 4.0 strikeouts | Over 3.5 | 16 of 31 (52%) |
| Hits Allowed | 31 | 3.8 hits allowed | Over 3.5 | 16 of 31 (52%) |
Every market Michael Soroka is currently priced in, 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 | Strikeouts | Hits Allowed |
|---|---|---|---|---|
| 2026-09-15 | Miami Marlins | Home | 6 | 2 |
| 2026-09-09 | Kansas City Royals | Away | 4 | 3 |
| 2026-08-22 | Cincinnati Reds | Home | 3 | 6 |
| 2026-08-16 | Atlanta Braves | Away | 5 | 6 |
| 2026-08-10 | Colorado Rockies | Home | 4 | 3 |
| 2026-06-19 | Minnesota Twins | Home | 0 | 2 |
| 2026-06-13 | Cincinnati Reds | Away | 7 | 2 |
| 2026-06-07 | Washington Nationals | Home | 6 | 3 |
| 2026-06-02 | Los Angeles Dodgers | Home | 6 | 6 |
| 2026-05-27 | San Francisco Giants | Away | 3 | 4 |
| 2026-05-22 | Colorado Rockies | Home | 2 | 4 |
| 2026-05-17 | Colorado Rockies | Away | 8 | 6 |
| 2026-05-11 | Texas Rangers | Away | 5 | 3 |
| 2026-05-06 | Pittsburgh Pirates | Home | 6 | 7 |
| 2026-04-30 | Milwaukee Brewers | Away | 2 | 10 |
| 2026-04-23 | Chicago White Sox | Home | 6 | 7 |
Counted from the same 31 logged games as the tables above. Measured history, not a projection and not a read on tonight's price.
| Percentile | Hits Allowed |
|---|---|
| Lowest logged game | 0 |
| 25th percentile | 2 |
| Median | 4 |
| 75th percentile | 6 |
| Highest logged game | 10 |
21 of 31 games (68%) landed between 2 and 6; 16 (52%) finished at or above the 4 median, and the spread from 0 to 10 is the whole range of the log. Nearest-rank, so every figure is a score Michael Soroka actually recorded.
| Month | Logged games | Average |
|---|---|---|
| August 2026 | 3 | 5 |
| June 2026 | 4 | 3.3 |
| May 2026 | 5 | 4.8 |
| April 2026 | 5 | 6.2 |
| March 2026 | 4 | 4.8 |
| September 2025 | 5 | 0.6 |
| Gap | Logged games | Average |
|---|---|---|
| 3 to 4 days | 4 | 1.3 |
| 5 or more days | 25 | 4.5 |
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 |
|---|---|---|---|
| Colorado Rockies | 3 | 4.3 | 6 |
| Cincinnati Reds | 3 | 2.7 | 6 |
| Milwaukee Brewers | 2 | 7.5 | 10 |
| Cleveland Guardians | 2 | 7 | 10 |
| Atlanta Braves | 2 | 5 | 6 |
| Chicago White Sox | 2 | 4 | 7 |
Most-faced in this log is Colorado Rockies, 3 games at 4.3, best of 6. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Against their own 4 median rather than a posted line, Michael Soroka's longest run at or above it is 8 games and the run open at the newest of the 31 is 0. Whether the bigger games cluster — not when the next one is.
Michael Soroka has gone over 3.5 strikeouts in 16 of 31 logged games (52%).
At home they average 3.6 over 18 games; away, 4.5 over 13.
Michael Soroka strikeouts: full game log, trend and hit rate by line
Michael Soroka has gone over 3.5 hits allowed in 16 of 31 logged games (52%).
At home they average 3.9 over 18 games; away, 3.6 over 13.
Michael Soroka hits allowed: full game log, trend and hit rate by line
Prop research for Michael Soroka of the Arizona Diamondbacks. The books are currently pricing Strikeouts and Hits Allowed lines for Michael Soroka, and each one is scored the same way every prop on this site is: their own game log measured against the exact line on offer, shrunk toward a league prior so a hot fortnight cannot pass for an edge, then compared with the price. The game log and the splits below are measured history and are rebuilt daily; the lines and prices load live, because a MLB price printed into a page is wrong within the hour. None of it is a forecast of the next game.
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. Hit rates against the live board are shrunk toward a league prior 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. No locks and no guaranteed wins — this is measured history and a price, and what you do with them is your decision.
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Whatever the books have priced — currently Strikeouts and Hits Allowed. The board on this page loads live rather than from a saved snapshot, so it reflects what is actually on offer now, with the best posted price across the major US sportsbooks against each line.
It depends on the line, which is why this page shows a rate per prop rather than one number. Each is the share of logged games finishing above the exact line on offer, over the deepest window available, shrunk toward a league prior so a short sample cannot masquerade as a trend. The number of games behind every rate is printed beside it.
The home and away splits on this page are measured from the same game log, so you can see the gap rather than assume one. Read them with the sample sizes next to them: a split measured over a handful of games each way is a difference you cannot distinguish from noise, and this page prints the denominator so you can tell.
No one knows, and any MLB tool that says otherwise is selling you something. Every figure here is measured history against a current price, and history is not a forecast. Across roughly 96,000 graded props the model tracked the de-vigged consensus across five books to within the margin those books charge: historical testing showed calibration alone is not enough to overcome sportsbook pricing. What this page does is show you the sample behind every number in seconds.
How MLB prop markets behave, measured across the league
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates, edges and grades are Parlay Builder’s own calculations.