Settled model recap · 2026-08-01
MLB Game & Prop Picks Recap for August 1, 2026: 4-4, -0.68 units
Review 1 game Pick and 7 pitcher-prop Picks from August 1, 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.
One-minute recap
One-minute recap
The card finished 4-4 for -0.68 units. The result was mixed, so the individual price and projection reads matter more than the headline record.
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 PickTOR moneyline
STL at TOR · STL 1, TOR 5
FanDuel -154winSee the review ↓
TOR moneyline
STL at TOR · STL 1, TOR 5
Postgame review
Won: TOR -154
TOR got the result in a STL 1, TOR 5 final. The FanDuel -154 ticket added +0.65 units to the game-pick record.
The pregame case started with FanDuel TOR -154. We made the side 59.8%; the price needed 60.6%. The price was the concern: our estimate sat 0.8 points below break-even. It was logged as the day's first complete model read, not because the price showed value. The strongest public counterweight was Long-run team strength, which pulled 0.42 probability points away from TOR. TOR carried the higher starter rating: Kevin Gausman rated 52.4, compared with Quinn Mathews at 50.0. The two confirmed lineups graded about even: TOR 48.1, STL 49.2. The top displayed hitters were Luis Urias (51.0) and Jordan Walker (54.5). TOR had the higher bullpen rating: TOR 53.9, STL 48.8.
The side won, but the price concern remains. A winning result does not turn a below-break-even calculation into value; this daily-card profile stays in review and the live weights stay unchanged.
Saved pregame inputs
Selected side
TOR
Opponent
STL
Values use the saved 0–100 rolling scale. They are inputs to the selection screen, not direct probability-point weights.
MLB Player Props
7 pitcher strikeout Picks, reviewed from the saved opponent lineup, workload projection, and prop price.
Pitcher propDrew Rasmussen Under 5.5 strikeouts
CWS at TB · 10 strikeouts · under 5.5
DraftKings +123lossSee the review ↓
Drew Rasmussen Under 5.5 strikeouts
CWS at TB · 10 strikeouts · under 5.5
Postgame review
Lost: Drew Rasmussen Under 5.5 Ks
Drew Rasmussen finished with 10 strikeouts, leaving the saved under 5.5 on the wrong side of the line for a 1.00-unit loss.
At DraftKings +123, the model gave the under 55.5% against a 44.8% break-even mark, a +10.7-point gap. The saved projection was 5.3 strikeouts across 21.9 batters faced. The pitcher graded 56.2/100 and the opponent strikeout matchup graded 57.3; the confirmed lineup carried a 23.2% strikeout rate.
The actual result finished 4.7 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
Frozen pitcher-prop inputs
Drew Rasmussen vs. CWS
- Projected Ks
- 5.3
- Actual Ks
- 10
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.47 Ks. Robustness: 76%.
Pitcher propLogan Gilbert Under 6.5 strikeouts
MIN at SEA · 6 strikeouts · under 6.5
DraftKings -126winSee the review ↓
Logan Gilbert Under 6.5 strikeouts
MIN at SEA · 6 strikeouts · under 6.5
Postgame review
Won: Logan Gilbert Under 6.5 Ks
Logan Gilbert finished with 6 strikeouts, cashing the saved under 6.5 and adding +0.79 units to the prop record.
At DraftKings -126, the model gave the under 68.9% against a 55.8% break-even mark, a +13.2-point gap. The saved projection was 5.3 strikeouts across 23.5 batters faced. The pitcher graded 58.6/100 and the opponent strikeout matchup graded 50.1; the confirmed lineup carried a 19.9% strikeout rate.
The actual result finished 0.7 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
Frozen pitcher-prop inputs
Logan Gilbert vs. MIN
- Projected Ks
- 5.3
- Actual Ks
- 6
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.48 Ks. Robustness: 77%.
Pitcher propCristopher Sanchez Under 6.5 strikeouts
PHI at BAL · 11 strikeouts · under 6.5
BetRivers +120lossSee the review ↓
Cristopher Sanchez Under 6.5 strikeouts
PHI at BAL · 11 strikeouts · under 6.5
Postgame review
Lost: Cristopher Sanchez Under 6.5 Ks
Cristopher Sanchez finished with 11 strikeouts, leaving the saved under 6.5 on the wrong side of the line for a 1.00-unit loss.
At BetRivers +120, the model gave the under 51.4% against a 45.5% break-even mark, a +6.0-point gap. The saved projection was 6.5 strikeouts across 25.7 batters faced. The pitcher graded 59.1/100 and the opponent strikeout matchup graded 64.1; the confirmed lineup carried a 24.8% strikeout rate.
The actual result finished 4.5 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
Frozen pitcher-prop inputs
Cristopher Sanchez vs. BAL
- Projected Ks
- 6.5
- Actual Ks
- 11
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.80 Ks. Robustness: 78%.
Pitcher propLuinder Avila Over 3.5 strikeouts
KC at COL · 2 strikeouts · over 3.5
FanDuel -142lossSee the review ↓
Luinder Avila Over 3.5 strikeouts
KC at COL · 2 strikeouts · over 3.5
Postgame review
Lost: Luinder Avila Over 3.5 Ks
Luinder Avila finished with 2 strikeouts, leaving the saved over 3.5 on the wrong side of the line for a 1.00-unit loss.
At FanDuel -142, the model gave the over 76.4% against a 58.7% break-even mark, a +17.8-point gap. The saved projection was 5.7 strikeouts across 26.1 batters faced. The pitcher graded 48.8/100 and the opponent strikeout matchup graded 45.8; the confirmed lineup carried a 23.0% strikeout rate.
The actual result finished 3.7 strikeouts below 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
Frozen pitcher-prop inputs
Luinder Avila vs. COL
- Projected Ks
- 5.7
- Actual Ks
- 2
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.65 Ks. Robustness: 71%.
Pitcher propRyan Feltner Over 3.5 strikeouts
KC at COL · 3 strikeouts · over 3.5
FanDuel -142lossSee the review ↓
Ryan Feltner Over 3.5 strikeouts
KC at COL · 3 strikeouts · over 3.5
Postgame review
Lost: Ryan Feltner Over 3.5 Ks
Ryan Feltner finished with 3 strikeouts, leaving the saved over 3.5 on the wrong side of the line for a 1.00-unit loss.
At FanDuel -142, the model gave the over 61.7% against a 58.7% break-even mark, a +3.0-point gap. The saved projection was 4.5 strikeouts across 21.2 batters faced. The pitcher graded 39.4/100 and the opponent strikeout matchup graded 42.7; the confirmed lineup carried a 23.1% strikeout rate.
The actual result finished 1.5 strikeouts below 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
Frozen pitcher-prop inputs
Ryan Feltner vs. KC
- Projected Ks
- 4.5
- Actual Ks
- 3
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.26 Ks. Robustness: 72%.
Pitcher propYoshinobu Yamamoto Under 6.5 strikeouts
BOS at LAD · 3 strikeouts · under 6.5
DraftKings -103winSee the review ↓
Yoshinobu Yamamoto Under 6.5 strikeouts
BOS at LAD · 3 strikeouts · under 6.5
Postgame review
Won: Yoshinobu Yamamoto Under 6.5 Ks
Yoshinobu Yamamoto finished with 3 strikeouts, cashing the saved under 6.5 and adding +0.97 units to the prop record.
At DraftKings -103, the model gave the under 64.9% against a 50.7% break-even mark, a +14.1-point gap. The saved projection was 5.6 strikeouts across 25.0 batters faced. The pitcher graded 57.4/100 and the opponent strikeout matchup graded 49.1; the confirmed lineup carried a 21.0% strikeout rate.
The actual result finished 2.6 strikeouts below 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
Frozen pitcher-prop inputs
Yoshinobu Yamamoto vs. BOS
- Projected Ks
- 5.6
- Actual Ks
- 3
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.56 Ks. Robustness: 77%.
Pitcher propJack Perkins Over 4.5 strikeouts
DET at OAK · 9 strikeouts · over 4.5
BetMGM -110winSee the review ↓
Jack Perkins Over 4.5 strikeouts
DET at OAK · 9 strikeouts · over 4.5
Postgame review
Won: Jack Perkins Over 4.5 Ks
Jack Perkins finished with 9 strikeouts, cashing the saved over 4.5 and adding +0.91 units to the prop record.
At BetMGM -110, the model gave the over 77.6% against a 52.4% break-even mark, a +25.3-point gap. The saved projection was 7.1 strikeouts across 30.0 batters faced. The pitcher graded 45.6/100 and the opponent strikeout matchup graded 55.2; the confirmed lineup carried a 22.0% strikeout rate.
The actual result finished 1.9 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
Frozen pitcher-prop inputs
Jack Perkins vs. DET
- Projected Ks
- 7.1
- Actual Ks
- 9
Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 3.03 Ks. Robustness: 70%.
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: 756c64a8533fe600703dc15a091cedeeace6710958ff29d0524eda9d735f7ef2
Decision receipts: mlb-current-decision:0e1e6da2dc2cd757d1448e4ec7ccb049, mlb-k-prop-52cf8813c6b92db216c1e5a2, mlb-k-prop-6e02b8f7bf83d0c6275685e7, mlb-k-prop-9ca42d009173bf6af802e1cb, mlb-k-prop-18edbf1259eb453fb59eb8c5, mlb-k-prop-24adb532655ad3898ccb62a1, mlb-k-prop-1c2e6ab427222d2469dcf0c5, mlb-k-prop-a591c4a89ead0c4697a90f6f
Settlement receipts: mlb_live_settlement_31b01bd36681672112c05599, fe02d5e0ee5e1aa60e8c9288ceb210cce94529a6fd73d86104d186b2b5729f16, 5c91803698288c6f988c2ad84c0455c4cbd2af47628d0b1d335e7475153def8b, dd95927aa03baa0cc4752c2ac63d5a2dfdadae5fcd6df89e18c31de8468f0a0c, 5442f8a881843844531588f538c89440dbce38f4cb8c203ed8f275d7779b14c8, 05b184422ec66f549da41686c1dd2f87d888474edf4747ba2353b3a1338b9e57, b6bf7243eb075f60128790a9f02195d951bcf2c2058fae8901be079d5a533cca, d395ef2e5d7f19dbece1739253b3ce4ad4e579e82fe636c1d2080b8957d65e6a