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Settled model recap · 2026-09-16

MLB Pitcher Prop Picks Recap for September 16, 2026: 2-3, -0.92 units

Review 5 pitcher-prop Picks from September 16, 2026 with the exact saved sportsbook prices, model probabilities, lineup or player values, final results, and plain-English postgame review.

Published after the saved Picks settled. The original prices and inputs stay attached.

Record2-3-0
Net units-0.92u
Game Picks0
Player Props5

One-minute recap

One-minute recap

The card missed: 5 pitcher-prop Picks finished 2-3 for -0.92 units. The useful question is which assumptions failed, not how to explain the result after the fact.

Saved Picks and reviews

Open any Pick for the why

MLB Player Props

5 pitcher-prop Picks, covering pitching outs and reviewed from the saved workload, opponent, and price snapshots.

Pitcher prop

Parker Messick Under 17.5 pitching outs

CWS at CLE · 18 outs · under 17.5

DraftKings +128lossSee the review ↓

Postgame review

Decision coverage note

Decision coverage was incomplete in the pitcher strikeout lane (5 opportunities expired despite a prior decision opportunity) and the additional pitcher props lane (18 opportunities expired without a decision). This recap is complete for the 5 settled Picks that were actually recorded, but the slate does not meet full-lifecycle acceptance. No missing decision was reconstructed, and these incidents do not count as Picks or change the record above.

Saved pregame inputs

Model probability57.7%
Price break-even43.9%
Calculated difference+13.9 pts

Frozen pitcher-prop inputs

Parker Messick vs. CWS

Projected outs
16.8
Actual outs
18
Projected opportunities23.7
Pitcher rate74.4%
Opponent rate68.4%
Stability95%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Shota Imanaga Under 17.5 pitching outs

ATL at CHC · 18 outs · under 17.5

Bovada +125lossSee the review ↓

Postgame review

Lost: Parker Messick Under 17.5 pitching outs

Parker Messick finished with 18 outs. That put the saved under 17.5 on the wrong side for a 1.00-unit loss.

The model priced the under at 57.7% versus a 43.9% break-even mark. The actual finished 1.2 outs above the saved 16.8 projection. The workload estimate was 23.7 opportunities, with pitcher rate 74.4% and opponent rate 68.4%.

Saved pregame inputs

Model probability65.4%
Price break-even44.4%
Calculated difference+20.9 pts

Frozen pitcher-prop inputs

Shota Imanaga vs. ATL

Projected outs
16.2
Actual outs
18
Projected opportunities22.9
Pitcher rate72.8%
Opponent rate68.8%
Stability95%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Daniel Lynch IV Over 14.5 pitching outs

KC at HOU · 15 outs · over 14.5

DraftKings -121winSee the review ↓

Postgame review

Lost: Shota Imanaga Under 17.5 pitching outs

Shota Imanaga finished with 18 outs. That put the saved under 17.5 on the wrong side for a 1.00-unit loss.

The model priced the under at 65.4% versus a 44.4% break-even mark. The actual finished 1.8 outs above the saved 16.2 projection. The workload estimate was 22.9 opportunities, with pitcher rate 72.8% and opponent rate 68.8%.

Saved pregame inputs

Model probability94.0%
Price break-even54.8%
Calculated difference+39.3 pts

Frozen pitcher-prop inputs

Daniel Lynch IV vs. HOU

Projected outs
21.1
Actual outs
15
Projected opportunities30.0
Pitcher rate73.1%
Opponent rate68.3%
Stability93%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Robbie Ray Over 15.5 pitching outs

SD at COL · 18 outs · over 15.5

Betonlineag +125winSee the review ↓

Postgame review

Won: Daniel Lynch IV Over 14.5 pitching outs

Daniel Lynch IV finished with 15 outs, cashing the saved over 14.5 at DraftKings -121 for +0.83 units.

The model priced the over at 94.0% versus a 54.8% break-even mark. The actual finished 6.1 outs below the saved 21.1 projection. The workload estimate was 30.0 opportunities, with pitcher rate 73.1% and opponent rate 68.3%.

Saved pregame inputs

Model probability60.8%
Price break-even44.4%
Calculated difference+16.3 pts

Frozen pitcher-prop inputs

Robbie Ray vs. COL

Projected outs
16.5
Actual outs
18
Projected opportunities23.9
Pitcher rate69.0%
Opponent rate68.2%
Stability95%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Merrill Kelly Over 15.5 pitching outs

MIA at ARI · 14 outs · over 15.5

Williamhill Us +118lossSee the review ↓

Postgame review

Won: Robbie Ray Over 15.5 pitching outs

Robbie Ray finished with 18 outs, cashing the saved over 15.5 at Betonlineag +125 for +1.25 units.

The model priced the over at 60.8% versus a 44.4% break-even mark. The actual finished 1.5 outs above the saved 16.5 projection. The workload estimate was 23.9 opportunities, with pitcher rate 69.0% and opponent rate 68.2%.

Saved pregame inputs

Model probability62.6%
Price break-even45.9%
Calculated difference+16.7 pts

Frozen pitcher-prop inputs

Merrill Kelly vs. MIA

Projected outs
16.7
Actual outs
14
Projected opportunities24.6
Pitcher rate67.3%
Opponent rate67.1%
Stability93%
Evidence quality95%
Uncertaintystandard

Lost: Merrill Kelly Over 15.5 pitching outs

Merrill Kelly finished with 14 outs. That put the saved over 15.5 on the wrong side for a 1.00-unit loss.

The model priced the over at 62.6% versus a 45.9% break-even mark. The actual finished 2.7 outs below the saved 16.7 projection. The workload estimate was 24.6 opportunities, with pitcher rate 67.3% and opponent rate 67.1%.

What comes next

What we take forward

Each result can raise a useful question, but no single game rewrites the model. Any adjustment has to repeat across comparable frozen reads and survive a prospective test first.

Technical receipt

Fact pack: 5e5c6b9418e3ce85833b83e65206492b22812cdffed0f7cf3b5830e100a9b789

Decision receipts: mlb-added-prop-f2582a826dcdffd13b85ba80, mlb-added-prop-e8fc3663ed13b937780737b5, mlb-added-prop-d41a92f77e676c7f69f145fe, mlb-added-prop-b559a737220cea955f90998a, mlb-added-prop-0794d4377ed0de745ce47fb9

Settlement receipts: d4586db5f88f359a4a2f2db05f3311e0e874164faf06a332bd8b3f32bae02ae1, 0212c3bd7e30f64a353d5e6568722543145fad0947d62954ef06b86af0f50f46, ec55c3638ea2597e7abdaf7f072c9ab486a570fcab1fa4570dd7242a5b931913, 8e31024fc8b920091436abbb9c7566ea13b74e67b581a4e030630b8a683b597d, cd560ca7ca5584bbdbf4a131d29639bc4d0b5b516418cb1ed00681e9af6bab73