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Baltimore Orioles vs Texas Rangers — Prediction & Odds

August 8, 2026 · Kyle Bradish vs Jacob deGrom · 85°F
0.3% edge · Texas Rangers
Baltimore Orioles win
41.8%
Texas Rangers win
58.2%
Fair line (home)
-139
Proj. total
8.89

Score distribution

How often each team scores each run total across all simulations.

0%7%15%036912151821Runs scored
Baltimore Orioles (mean 4.18)Texas Rangers (mean 4.71)

Totals

O/U line
7.5
Proj. total
8.89
Over
57.3%
Under
42.7%

Model vs. market

SideModelBookFair
Baltimore Orioles41.8%+133+139
Texas Rangers58.2%-144-139

Baltimore Orioles — projected lines

BatterPA1B2B3BHRBBKAVGOBPSLGOPS
Gunnar Henderson4.7.653.195.032.217.3701.169.256.321.469.790
Pete Alonso4.6.570.167.005.276.3841.248.246.319.489.808
Jackson Holliday4.5.623.154.024.136.3951.205.232.304.382.686
Tyler O'Neill4.4.518.140.009.220.3881.398.225.299.432.732
Dylan Beavers4.3.598.167.014.124.4351.144.237.318.386.705
Leody Taveras4.2.630.130.043.112.2681.082.236.288.379.667
Christian Encarnacion-Strand4.0.526.152.018.183.1571.295.228.265.420.685
Colton Cowser3.9.487.127.008.164.3341.348.221.294.400.693
Carlos Narváez3.8.484.145.004.113.3041.193.215.284.358.642

Texas Rangers — projected lines

BatterPA1B2B3BHRBBKAVGOBPSLGOPS
Joc Pederson4.6.633.144.024.227.5761.106.257.361.476.837
Wyatt Langford4.5.657.185.023.184.5381.058.265.357.463.820
Corey Seager4.4.653.182.004.219.528.948.274.366.493.860
Brandon Nimmo4.3.700.176.019.144.438.991.271.354.440.793
Ezequiel Duran4.2.720.213.020.106.2631.013.270.322.416.738
Evan Carter4.1.577.148.039.127.474.997.248.344.417.761
Jake Burger4.0.589.161.006.202.2831.051.260.320.471.790
Austin Wynns3.9.580.147.009.103.2631.082.233.290.364.654
Nicky Lopez3.8.716.136.022.021.311.620.262.331.333.664
Data notes: game-time temp 85F: run environment adjusted · 20/20 lineup+starter talents from projections