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MLB model recap · 2026-08-02

MLB Game & Prop Picks Recap for August 2, 2026: 4-2, +1.49 units

Review 1 game Pick and 5 pitcher-prop Picks from August 2, 2026 with the exact saved sportsbook prices, model probabilities, lineup or player values, final results, and plain-English postgame review.

Tracked model result. Not betting advice.

Saved data, visualized

The model read at a glance

Record
4-2-0
Flat-risk units
+1.49u
Game pick

BAL moneyline

BetRivers · +123

PHI at BAL · PHI 8, BAL 0

loss
Model team baseline44.8%
Sportsbook break-even44.8%

Selected side

BAL

Team form52.9
Lineup form50.1
Starting pitcher53.7
Bullpen available51.6
Kyle BradishTop hitter value: Pete Alonso 54.6

Opponent

PHI

Team form50.0
Lineup form51.4
Starting pitcher60.3
Bullpen available52.4
Zack WheelerTop hitter value: Kyle Schwarber 56.3

Role values use the frozen 0–100 rolling scale. They inform the selection-quality screen; they are not direct probability-point weights.

Pitcher prop

Zack Wheeler Under 7.5 strikeouts

Fanatics Sportsbook · -110

PHI at BAL · 3 actual Ks vs. under 7.5

win
Model prop probability70.1%
Sportsbook break-even52.4%

Frozen pitcher-prop inputs

Zack Wheeler vs. BAL

Projected Ks
6.1
Actual Ks
3
Pitcher value60.3
Opponent K matchup67.8
Lineup K rate24.2%
Lineup coverage100%
Projected batters faced23.4
Evidence quality88%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.69 Ks. Robustness: 76%.

Pitcher prop

Matthew Liberatore Over 3.5 strikeouts

Fanatics Sportsbook · -140

STL at TOR · 7 actual Ks vs. over 3.5

win
Model prop probability61.8%
Sportsbook break-even58.3%

Frozen pitcher-prop inputs

Matthew Liberatore vs. TOR

Projected Ks
4.5
Actual Ks
7
Pitcher value47.8
Opponent K matchup38.2
Lineup K rate18.7%
Lineup coverage100%
Projected batters faced22.2
Evidence quality89%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.26 Ks. Robustness: 76%.

Pitcher prop

Seth Lugo Over 4.5 strikeouts

FanDuel · +126

KC at COL · 3 actual Ks vs. over 4.5

loss
Model prop probability51.2%
Sportsbook break-even44.2%

Frozen pitcher-prop inputs

Seth Lugo vs. COL

Projected Ks
4.9
Actual Ks
3
Pitcher value46.4
Opponent K matchup39.5
Lineup K rate21.9%
Lineup coverage100%
Projected batters faced24.1
Evidence quality90%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.38 Ks. Robustness: 77%.

Pitcher prop

George Kirby Under 5.5 strikeouts

DraftKings · -109

MIN at SEA · 3 actual Ks vs. under 5.5

win
Model prop probability56.6%
Sportsbook break-even52.2%

Frozen pitcher-prop inputs

George Kirby vs. MIN

Projected Ks
5.2
Actual Ks
3
Pitcher value58.1
Opponent K matchup41.1
Lineup K rate20.3%
Lineup coverage100%
Projected batters faced25.0
Evidence quality90%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.46 Ks. Robustness: 77%.

Pitcher prop

Taj Bradley Under 6.5 strikeouts

BetMGM · -105

MIN at SEA · 2 actual Ks vs. under 6.5

win
Model prop probability63.1%
Sportsbook break-even51.2%

Frozen pitcher-prop inputs

Taj Bradley vs. SEA

Projected Ks
5.7
Actual Ks
2
Pitcher value50.6
Opponent K matchup57.4
Lineup K rate22.0%
Lineup coverage100%
Projected batters faced23.8
Evidence quality90%

Pitcher and opponent values use the frozen 0–100 rolling scale. Projection standard deviation: 2.59 Ks. Robustness: 77%.

One-minute recap

A strong result on the scoreboard: 1 game Pick and 5 pitcher-prop Picks finished 4-2 for +1.49 units. The review below separates the reads that matched their projections from the outcomes where the saved price did more of the work.

MLB Game Picks

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

Lost: BAL +123

BAL did not get there in a PHI 8, BAL 0 final. The saved BetRivers +123 price cost 1.00 unit on the game-pick record.

The pregame case started with BetRivers BAL +123. We made the side 44.8%; the price needed 44.8%. The price was the concern: our estimate sat 0.1 points below break-even. It was logged as the day's first complete model read, not because the price showed value. The strongest public push toward BAL was Rolling team value, worth 0.09 probability points in the saved calculation. PHI carried the higher starter rating: Kyle Bradish rated 53.7, compared with Zack Wheeler at 60.3. The two confirmed lineups graded about even: BAL 50.1, PHI 51.4. The top displayed hitters were Pete Alonso (54.6) and Kyle Schwarber (56.3). The bullpen snapshot was essentially even: BAL 51.6, PHI 52.4.

The loss matched the pregame price warning. The next review is whether the first-complete-read policy should admit this below-break-even profile at all; one result will not change it automatically.

MLB Pitcher Prop Picks

5 pitcher strikeout Picks, reviewed from the saved opponent lineup, workload projection, and prop price.

Won: Zack Wheeler Under 7.5 Ks

Zack Wheeler finished with 3 strikeouts, cashing the saved under 7.5 and adding +0.91 units to the prop record.

At Fanatics Sportsbook -110, the model gave the under 70.1% against a 52.4% break-even mark, a +17.8-point gap. The saved projection was 6.1 strikeouts across 23.4 batters faced. The pitcher graded 60.3/100 and the opponent strikeout matchup graded 67.8; the confirmed lineup carried a 24.2% strikeout rate.

The actual result finished 3.1 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.

Won: Matthew Liberatore Over 3.5 Ks

Matthew Liberatore finished with 7 strikeouts, cashing the saved over 3.5 and adding +0.71 units to the prop record.

At Fanatics Sportsbook -140, the model gave the over 61.8% against a 58.3% break-even mark, a +3.5-point gap. The saved projection was 4.5 strikeouts across 22.2 batters faced. The pitcher graded 47.8/100 and the opponent strikeout matchup graded 38.2; the confirmed lineup carried a 18.7% strikeout rate.

The actual result finished 2.5 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.

Lost: Seth Lugo Over 4.5 Ks

Seth Lugo finished with 3 strikeouts, leaving the saved over 4.5 on the wrong side of the line for a 1.00-unit loss.

At FanDuel +126, the model gave the over 51.2% against a 44.2% break-even mark, a +7.0-point gap. The saved projection was 4.9 strikeouts across 24.1 batters faced. The pitcher graded 46.4/100 and the opponent strikeout matchup graded 39.5; the confirmed lineup carried a 21.9% strikeout rate.

The actual result finished 1.9 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.

Won: George Kirby Under 5.5 Ks

George Kirby finished with 3 strikeouts, cashing the saved under 5.5 and adding +0.92 units to the prop record.

At DraftKings -109, the model gave the under 56.6% against a 52.2% break-even mark, a +4.4-point gap. The saved projection was 5.2 strikeouts across 25.0 batters faced. The pitcher graded 58.1/100 and the opponent strikeout matchup graded 41.1; the confirmed lineup carried a 20.3% strikeout rate.

The actual result finished 2.2 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.

Won: Taj Bradley Under 6.5 Ks

Taj Bradley finished with 2 strikeouts, cashing the saved under 6.5 and adding +0.95 units to the prop record.

At BetMGM -105, the model gave the under 63.1% against a 51.2% break-even mark, a +11.9-point gap. The saved projection was 5.7 strikeouts across 23.8 batters faced. The pitcher graded 50.6/100 and the opponent strikeout matchup graded 57.4; the confirmed lineup carried a 22.0% strikeout rate.

The actual result finished 3.7 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.

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.

Fact pack: 043fe3746ffd6185194d26d58ab24c32e182ece0feacceef1c3bd4d9191901f5