Upcoming Games for September 19, 2021
| Time | Teams | Pitchers | Win | Best Line | Runs | Total Runs | Best O/U | More Details | |
|---|---|---|---|---|---|---|---|---|---|
| Colorado Rockies (70-78) Washington Nationals (60-88) | Jon Gray Paolo Espino | 48.5% 51.5% | -105 -104 +100 -104 | 3.98 4.14 | 8.12 | o8½-120 u9-120 o8½-120 u9-120 | Volatility Bet Value Active | ||
| Cleveland Indians (72-74) New York Yankees (83-66) | Eli Morgan Gerrit Cole | 32.2% 67.8% | +275 -305 +276 -310 | 3.09 4.91 | 8.00 | o8½+100 u8½-120 o8½+100 u8½-110 | |||
| Minnesota Twins (65-84) Toronto Blue Jays (83-65) | Undecided Jose Berrios | 36.7% 63.3% | +202 -224 | 4.06 5.46 | 9.52 | o9-110 u9-110 | |||
| Los Angeles Dodgers (95-54) Cincinnati Reds (77-72) | Clayton Kershaw Wade Miley | 57.0% 43.0% | -187 +180 -190 +176 | 4.44 3.72 | 8.16 | o9-110 u9-105 o9-105 u9-105 | Overall Bet Value Active | ||
| Pittsburgh Pirates (56-92) Miami Marlins (62-86) | Max Kranick Sandy Alcantara | 39.3% 60.7% | +185 -200 +190 -205 | 3.48 4.60 | 8.08 | o7-113 u7-105 o7-115 u7-105 | Overall Bet Value Active Overall Bet Value Active | ||
| Baltimore Orioles (47-101) Boston Red Sox (85-65) | Alexander Wells Nathan Eovaldi | 29.2% 70.8% | +283 -320 +280 -310 | 3.41 5.54 | 8.95 | o9½-110 u9½-107 o9½-110 u9½-105 | |||
| Detroit Tigers (71-78) Tampa Bay Rays (92-57) | Wily Peralta Shane McClanahan | 33.6% 66.4% | +237 -265 +235 -260 | 3.72 5.41 | 9.13 | o8½-110 u8½-110 o8½-110 u8½-110 | |||
| Chicago Cubs (66-83) Milwaukee Brewers (91-57) | Adrian Sampson Eric Lauer | 36.1% 63.9% | +200 -215 +200 -212 | 3.56 5.02 | 8.58 | o8½-120 u8½+101 o8½-118 u8½+100 | |||
| Seattle Mariners (79-69) Kansas City Royals (67-81) | Logan Gilbert Jackson Kowar | 57.2% 42.8% | -130 +122 -130 +125 | 4.92 4.16 | 9.08 | o9-120 u9½-115 o9-120 u9½-110 | |||
| Arizona Diamondbacks (48-100) Houston Astros (87-61) | Zac Gallen Zack Greinke | 35.7% 64.3% | +195 -202 +200 -210 | 3.38 4.88 | 8.26 | o8½-115 u8½-105 o8½-115 u8½-105 | Volatility Bet Value Active | ||
| San Diego Padres (76-72) St. Louis Cardinals (78-69) | Jake Arrieta J.A. Happ | 45.7% 54.3% | +101 -108 +100 -109 | 4.39 4.83 | 9.22 | o9½+100 u9½-115 o9-120 u9½-115 | Volatility Bet Value Active | ||
| Chicago White Sox (84-64) Texas Rangers (55-93) | Lucas Giolito Jordan Lyles | 61.9% 38.1% | -225 +210 -230 +210 | 5.03 3.78 | 8.81 | o8½-113 u8½-105 o8½-115 u8½+100 | Overall Bet Value Active Overall Bet Value Active | ||
| Atlanta Braves (76-70) San Francisco Giants (97-52) | Max Fried Anthony DeSclafani | 41.7% 58.3% | +110 -120 +111 -118 | 3.62 4.48 | 8.10 | o8-113 u8-105 o8-115 u8-105 | |||
| Oakland Athletics (81-67) Los Angeles Angels (72-76) | Frankie Montas Shohei Ohtani | 47.1% 52.9% | -115 +117 -125 +116 | 4.24 4.55 | 8.79 | o8½-103 u8½-110 o8½+100 u8½-115 | Volatility Bet Value Active | ||
| Philadelphia Phillies (76-72) New York Mets (72-77) | Kyle Gibson Rich Hill | 46.9% 53.1% | +111 -120 +110 -120 | 3.74 4.06 | 7.80 | o8½-101 u8½-115 o8½+100 u8½-115 |
Completed Games
| Time | Teams | Win | Best Line | Final Runs | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|
| Oakland Athletics Los Angeles Angels | 57.9% 42.1% | -116 +107 -120 +113 | 3 1 | -0.64162-0.62096 | -0.54583 | |
| Atlanta Braves San Francisco Giants | 46.3% 53.7% | -107 -101 -104 +101 | 0 2 | -0.70739-0.70542 | -0.62124 | |
| San Diego Padres St. Louis Cardinals | 48.7% 51.3% | +110 -117 +110 -117 | 2 3 | -0.63297-0.63297 | -0.66736 | |
| Chicago Cubs Milwaukee Brewers | 25.7% 74.3% | +279 -315 +285 -310 | 4 6 | -0.29834-0.29530 | -0.29758 | |
| Philadelphia Phillies New York Mets | 49.1% 50.9% | -106 -103 -108 +100 | 5 3 | -0.68615-0.67446 | -0.71125 | |
| Arizona Diamondbacks Houston Astros | 32.1% 67.9% | +247 -275 +258 -280 | 6 4 | -1.26546-1.29138 | -1.13769 |
Season Prediction Results
| Games | Record (Pct) | No Pick | +/- | ||
|---|---|---|---|---|---|
| Sportsbooks | 15 | 8-7 (0.533) | 0 | -0.72334 | |
| Sportsbooks | 15 | 8-7 (0.533) | 0 | -0.72404 | |
| DRatings | 15 | 8-7 (0.533) | 0 | -0.68564 | 0.03771 0.03840 |
Predictions Methodology
Here we use computer estimates from the Inference Index to predict future Major League baseball games. We use previous score and pitcher data to best attempt to estimate the results of each game. The predictions do not account for injuries, or any other factors that may cause the outcome to be swayed in one direction or another. There is a lot of randomness, particularly in baseball, so there will always be some error in the prediction.
Beginning in the 2014 season, we have begun including probable starting pitcher into the calculation. If there is a late change in the starting pitcher for a team and it is not reflected below then the projections will not be an accurate assessment on the game. The current projection system for Major League Baseball games is at Level 3, our highest level of analysis. The Predictor should be used for entertainment purposes only.