Settled model recap · 2026-09-11

MLB Game & Prop Picks Recap for September 11, 2026: 1-2, -1.30 units

Review 1 game Pick and 2 pitcher-prop Picks from September 11, 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.

Record1-2-0

Net units-1.30u

Game Picks1

Player Props2

One-minute recap

The card missed: 1 game Pick and 2 pitcher-prop Picks finished 1-2 for -1.30 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 Game Picks

1 game Pick, reviewed from the saved lineup, player, team, and moneyline snapshot.

Game Pick

SD moneyline

SD at SF · SD 7, SF 5

BetRivers -143winSee the review ↓

Postgame review

Decision coverage note

Decision coverage was incomplete in the pitcher strikeout lane (14 opportunities expired despite a prior decision opportunity) and the additional pitcher props lane (44 opportunities expired without a decision). This recap is complete for the 3 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 probability59.3%

Price break-even58.8%

Calculated difference+0.5 pts

Selected side

SD

Team form53.6

Lineup form50.5

Starting pitcher45.6

Bullpen available54.8

Opponent

SF

Team form48.6

Lineup form49.9

Starting pitcher51.4

Bullpen available49.7

Values use the saved 0–100 rolling scale. They are inputs to the selection screen, not direct probability-point weights.

MLB Player Props

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

Pitcher prop

Cade Cavalli Under 6.5 strikeouts

LAA at WAS · 9 strikeouts · under 6.5

Fanatics Sportsbook +115lossSee the review ↓

Postgame review

Won: SD -143

SD got the result in a SD 7, SF 5 final. The BetRivers -143 ticket added +0.70 units to the game-pick record.

The pregame case started with BetRivers SD -143. We made the side 59.3%; the price needed 58.8%. That left 0.5 percentage points of room over the price's break-even mark. The strongest public push toward SD was Long-run team strength, worth 0.71 probability points in the saved calculation. SF carried the higher starter rating: Robbie Ray rated 45.6, compared with Anthony Molina at 51.4. The two confirmed lineups graded about even: SD 50.5, SF 49.9. The top displayed hitters were Fernando Tatis Jr. (56.8) and Rafael Devers (60.6). SD had the higher bullpen rating: SD 54.8, SF 49.7.

The result matched both the side and the saved price read. That is encouraging, not conclusive; the same profile still has to repeat before any live weight changes.

Saved pregame inputs

Model probability62.2%

Price break-even46.5%

Calculated difference+15.7 pts

Frozen pitcher-prop inputs

Cade Cavalli vs. LAA

Projected Ks: 5.8
Actual Ks: 9

Pitcher value57.2

Opponent K matchup67.9

Lineup K rate25.4%

Lineup coverage100%

Projected batters faced22.1

Evidence quality91%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.60 Ks. Robustness: 79%.

Pitcher prop

Robbie Ray Over 15.5 pitching outs

SD at SF · 15 outs · over 15.5

FanDuel +100lossSee the review ↓

Postgame review

Lost: Cade Cavalli Under 6.5 Ks

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

At Fanatics Sportsbook +115, the model gave the under 62.2% against a 46.5% break-even mark, a +15.7-point gap. The saved projection was 5.8 strikeouts across 22.1 batters faced. The pitcher graded 57.2/100 and the opponent strikeout matchup graded 67.9; the confirmed lineup carried a 25.4% strikeout rate.

The actual result finished 3.2 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 probability61.1%

Price break-even50.0%

Calculated difference+11.1 pts

Frozen pitcher-prop inputs

Robbie Ray vs. SF

Projected outs: 16.5
Actual outs: 15

Projected opportunities24.0

Pitcher rate69.1%

Opponent rate68.0%

Stability95%

Evidence quality95%

Uncertaintystandard

Lost: Robbie Ray Over 15.5 pitching outs

Robbie Ray finished with 15 outs. That put the saved over 15.5 on the wrong side for a 1.00-unit loss.

The model priced the over at 61.1% versus a 50.0% break-even mark. The actual finished 1.5 outs below the saved 16.5 projection. The workload estimate was 24.0 opportunities, with pitcher rate 69.1% and opponent rate 68.0%.

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: 6ad069a746f18242ee8ab0eea346f04086eff9df125f60c523cbe00877f20d35

Decision receipts: mlb-current-decision:2794b0a2625933a6a3bce0561f26ff26, mlb-k-prop-9ab65b901a8e2c2ed241b914, mlb-added-prop-ddf9537a5959062f8e970927

Settlement receipts: mlb_live_settlement_a5e11f6aabf167ff33ebc221, ebdf415689cfc534987851b1f048bf69a39fdec8eff88fef78ba8b21664c546e, cf3c0dc7a7ee56a6e53d1d8a5928d1c4bfe2209d720869b4a3d5e96373685805