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Settled model recap · 2026-09-06

MLB Pitcher Prop Picks Recap for September 6, 2026: 2-4, -1.80 units

Review 6 pitcher-prop Picks from September 6, 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.

Record2-4-0
Net units-1.80u
Game Picks0
Player Props6

One-minute recap

One-minute recap

The card missed: 6 pitcher-prop Picks finished 2-4 for -1.80 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

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

Pitcher prop

Bryan Woo Under 6.5 strikeouts

OAK at SEA · 9 strikeouts · under 6.5

DraftKings -119lossSee the review ↓

Postgame review

Decision coverage note

Decision coverage was incomplete in the pitcher strikeout lane (7 opportunities expired despite a prior decision opportunity) and the additional pitcher props lane (16 opportunities expired without a decision). This recap is complete for the 6 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 probability67.4%
Price break-even54.3%
Calculated difference+13.1 pts

Frozen pitcher-prop inputs

Bryan Woo vs. OAK

Projected Ks
5.4
Actual Ks
9
Pitcher value53.1
Opponent K matchup54.4
Lineup K rate22.7%
Lineup coverage100%
Projected batters faced23.1
Evidence quality90%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.51 Ks. Robustness: 78%.

Pitcher prop

Justin Wrobleski Over 4.5 strikeouts

WAS at LAD · 6 strikeouts · over 4.5

Betonlineag +120winSee the review ↓

Postgame review

Lost: Bryan Woo Under 6.5 Ks

Bryan Woo finished with 9 strikeouts, leaving the saved under 6.5 on the wrong side of the line for a 1.00-unit loss.

At DraftKings -119, the model gave the under 67.4% against a 54.3% break-even mark, a +13.1-point gap. The saved projection was 5.4 strikeouts across 23.1 batters faced. The pitcher graded 53.1/100 and the opponent strikeout matchup graded 54.4; the confirmed lineup carried a 22.7% strikeout rate.

The actual result finished 3.6 strikeouts above the point projection. The projection supported the ticket, but the actual result crossed to the other side of the sportsbook line. We will compare the same workload, opponent, line, and price profile before changing production weights.

Saved pregame inputs

Model probability61.3%
Price break-even45.5%
Calculated difference+15.8 pts

Frozen pitcher-prop inputs

Justin Wrobleski vs. WAS

Projected Ks
5.6
Actual Ks
6
Pitcher value44.2
Opponent K matchup46.7
Lineup K rate23.3%
Lineup coverage100%
Projected batters faced25.5
Evidence quality91%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.56 Ks. Robustness: 76%.

Pitcher prop

Payton Tolle Under 17.5 pitching outs

BOS at BAL · 18 outs · under 17.5

Fanatics Sportsbook +100lossSee the review ↓

Postgame review

Won: Justin Wrobleski Over 4.5 Ks

Justin Wrobleski finished with 6 strikeouts, cashing the saved over 4.5 and adding +1.20 units to the prop record.

At Betonlineag +120, the model gave the over 61.3% against a 45.5% break-even mark, a +15.8-point gap. The saved projection was 5.6 strikeouts across 25.5 batters faced. The pitcher graded 44.2/100 and the opponent strikeout matchup graded 46.7; the confirmed lineup carried a 23.3% strikeout rate.

The actual result finished 0.4 strikeouts above the point projection. The ticket and the point projection told the same story. We will compare the same workload, opponent, line, and price profile before changing production weights.

Saved pregame inputs

Model probability62.6%
Price break-even50.0%
Calculated difference+12.6 pts

Frozen pitcher-prop inputs

Payton Tolle vs. BAL

Projected outs
16.4
Actual outs
18
Projected opportunities23.1
Pitcher rate73.2%
Opponent rate69.7%
Stability93%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Randy Dobnak Over 15.5 pitching outs

TOR at KC · 18 outs · over 15.5

Fanatics Sportsbook +100winSee the review ↓

Postgame review

Lost: Payton Tolle Under 17.5 pitching outs

Payton Tolle 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 62.6% versus a 50.0% break-even mark. The actual finished 1.6 outs above the saved 16.4 projection. The workload estimate was 23.1 opportunities, with pitcher rate 73.2% and opponent rate 69.7%.

Saved pregame inputs

Model probability72.2%
Price break-even50.0%
Calculated difference+22.2 pts

Frozen pitcher-prop inputs

Randy Dobnak vs. TOR

Projected outs
17.9
Actual outs
18
Projected opportunities25.9
Pitcher rate68.4%
Opponent rate69.3%
Stability90%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Tanner Gordon Over 15.5 pitching outs

STL at COL · 14 outs · over 15.5

FanDuel +116lossSee the review ↓

Postgame review

Won: Randy Dobnak Over 15.5 pitching outs

Randy Dobnak finished with 18 outs, cashing the saved over 15.5 at Fanatics Sportsbook +100 for +1.00 units.

The model priced the over at 72.2% versus a 50.0% break-even mark. The actual finished 0.1 outs above the saved 17.9 projection. The workload estimate was 25.9 opportunities, with pitcher rate 68.4% and opponent rate 69.3%.

Saved pregame inputs

Model probability88.3%
Price break-even46.3%
Calculated difference+42.0 pts

Frozen pitcher-prop inputs

Tanner Gordon vs. STL

Projected outs
20.6
Actual outs
14
Projected opportunities30.0
Pitcher rate68.2%
Opponent rate67.9%
Stability90%
Evidence quality95%
Uncertaintystandard
Pitcher prop

Michael King Under 17.5 pitching outs

NYY at SD · 18 outs · under 17.5

Bovada +120lossSee the review ↓

Postgame review

Lost: Tanner Gordon Over 15.5 pitching outs

Tanner Gordon 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 88.3% versus a 46.3% break-even mark. The actual finished 6.6 outs below the saved 20.6 projection. The workload estimate was 30.0 opportunities, with pitcher rate 68.2% and opponent rate 67.9%.

Saved pregame inputs

Model probability59.4%
Price break-even45.5%
Calculated difference+14.0 pts

Frozen pitcher-prop inputs

Michael King vs. NYY

Projected outs
16.7
Actual outs
18
Projected opportunities23.8
Pitcher rate72.0%
Opponent rate68.5%
Stability93%
Evidence quality95%
Uncertaintystandard

Lost: Michael King Under 17.5 pitching outs

Michael King 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 59.4% versus a 45.5% break-even mark. The actual finished 1.3 outs above the saved 16.7 projection. The workload estimate was 23.8 opportunities, with pitcher rate 72.0% and opponent rate 68.5%.

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: e609e6f611bfdb14f891421baaa96583676508d433ce8b02e3988cfe125b020c

Decision receipts: mlb-k-prop-3753797827845f27fb2a200b, mlb-k-prop-bb2900b0906f4df1d7371a05, mlb-added-prop-140b99129eff0b36c78a6a1e, mlb-added-prop-1779ddc5517f4645990e4506, mlb-added-prop-1a5c103b3a63c508d51bfd7d, mlb-added-prop-c7cd89af2dc6502892a0ca81

Settlement receipts: 9fee856b5078059481ce65c6e4b924f1ffd195ea86eae9ad514d9fe65d683a53, 0c355e185867377eefc8432e6296d0e7563005e92d0ec3e921fe36485ee14801, 090f30799b00d26dc53b13ba657068497e84f468c29abe3273c1c2704fe45f9c, 04aa4fcec5cef5bc2272307d18a86813ba0880c266b02e05862d314371896f99, 0feda43a81d1de79a6462309438a8f422f79ed72c98b5c47ca04cb7792001d27, 4e00040ea362d3695103d8a2d13eaa1a46462de49ead7e944e0d04d5e0c17ede