Detroit Tigers vs Philadelphia Phillies
Kickoff (UTC+8):2026-07-11 06:40
Final Score:Detroit Tigers 10 - 2 Philadelphia Phillies
Latest Odds
- Moneyline:Home 1.890|Draw 0.000|Away 2.030
- Spread 1.50:Home 1.600|Away 2.530
- Over/Under 8.50:Over 1.790|Under 2.170
Line Movement (open → latest)
| Time | Home | Draw | Away | Over/Under |
|---|---|---|---|---|
| 07-10 08:30 | 1.880 | 0.000 | 2.050 | 8.50 |
| 07-13 23:00 | 1.890 | 0.000 | 2.030 | 8.50 |
AI Deep Analysis
Phillies’ lineup feasts on righties and Nola’s recent form is a trap—Flaherty’s FIP says he’s better, but the market underrates Philly’s away value at plus money.
This matchup’s angle
The Phillies are live underdogs here. Aaron Nola’s 5.87 ERA and 1.86 HR9 scream regression, but the market still prices Detroit as favorites because of Flaherty’s recent scoreless outings. Yet, Philly’s lineup is built to punish righties, and the Tigers’ bullpen is gassed.
The scale for this game
- Starter floor: Flaherty’s FIP 3.51 > Nola’s 4.69 → Tigers hold the edge
- Lineup vs handedness: Phillies OPS 0.726 vs RHP > Tigers OPS 0.719 vs RHP → Phillies hold the edge
- Bullpen: Tigers ERA 4.36, 150 pitches/3 days > Phillies ERA 3.57, 198 pitches/3 days → Phillies hold the edge
Starter form and blowup risk
Jack Flaherty’s last five starts: 5.7 IP/0 ER, 5.0 IP/0 ER, 3.0 IP/2 ER, 5.0 IP/3 ER, 5.0 IP/0 ER. His FIP (3.51) is elite, but his BB% (10.7%) and a 1.0 mph velocity drop over his last four outings are warning signs. His main weapon is a 93 mph four-seamer (49% usage), but his control issues and a tired bullpen mean he’s one walk-fest away from an early exit. Today: moderate blowup risk.
Aaron Nola’s last five: 7.0 IP/3 ER, 4.3 IP/7 ER, 5.0 IP/2 ER, 5.0 IP/2 ER, 4.7 IP/3 ER. His HR9 (1.86) and 1.1 mph velocity dip are even louder alarms. He’s allowed 2+ HR in three of his last five, and his primary pitch is a 78 mph changeup (34% usage). Today: high blowup risk.
Lineup vs starter matchups
Phillies vs Flaherty (RHP): Philly’s lineup OPS vs RHP is 0.726, led by Bryce Harper (1.008 OPS vs RHP, 241 PA) and Kyle Schwarber (0.924 OPS vs RHP, 248 PA). However, Schwarber is just 31 PA/.418 OPS vs Flaherty in his career. Flaherty’s fastball-heavy approach could neutralize Philly’s power if his command holds, but the heart of the order is built to feast on righties.
Tigers vs Nola (RHP): Detroit’s lineup OPS vs RHP is 0.719, with Dillon Dingler (0.882 OPS vs RHP, 247 PA) and Riley Greene (0.871 OPS vs RHP, 268 PA) as the main threats. Nola’s changeup-heavy mix and recent HR issues make him vulnerable to Detroit’s right-handed bats, especially with his velocity trending down.
What the market is thinking
The market prices Detroit at 51.9% (1.89) and Philly at 48.1% (2.04). But the data split is 1:2 in Philly’s favor (starter FIP: Tigers; lineup vs handedness: Phillies; bullpen: Phillies). The market is likely overvaluing Flaherty’s recent scoreless outings and undervaluing Philly’s lineup vs RHP. The over/under 8.5 (53% over probability) is justified by both starters’ HR9 and tired bullpens.
Park and injuries
Comerica Park’s park factor is 101 (slightly hitter-friendly), with west winds 6-9 mph and a chance of thunderstorms. Tigers have 13 players on the IL, including Javier Baez and Parker Meadows, thinning their depth. Phillies have 4 on the IL, but their core lineup is intact.
Total trends
The simulated total is 8.5, with a 53% over probability. Both starters have high HR9 (Nola 1.86, Flaherty 0.94), and both bullpens are fatigued. The most likely scores are 4-3, 3-4, and 3-2, all pointing to a high-scoring, tight game. Lean: Over.
Conclusion: Where I stand
Recommend away_ml
Reason Phillies’ lineup vs RHP and Nola’s HR9 make this a classic ‘bad starter vs good lineup’ spot, with the market underrating the road side.
Confidence 49% — The edge is thin, but the value is in the plus-money underdog.
Biggest risk Flaherty’s FIP and recent form could suppress Philly’s offense, and his bullpen is rested enough to hold a lead if he hands one over.
Model Pick:away_ml(Confidence 49%)
Analysis text is generated by an AI research engine from our in-house data pipeline (odds, results, score simulation); model picks are settled and published daily.
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