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Top Consensus Picks

Highest-confidence picks where every model agrees · 2026-04-16

3 of 3 models agree over under
LAA @ NYY
Under 8.5
Avg conf: 48% The model's calibrated probability that a prediction is correct (0-100%). Tiers: HIGH (75%+), MED (60-74%), LOW (45-59%), NO EDGE (<45%).

"Max Fried's elite pitching (1.35 ERA) combined with NYY's superior team ERA gives the Yankees a significant advantage at home."
3 of 3 models agree moneyline
NYM @ LAD
LAD
Avg conf: 47% The model's calibrated probability that a prediction is correct (0-100%). Tiers: HIGH (75%+), MED (60-74%), LOW (45-59%), NO EDGE (<45%). | -16.7% edge Our model's probability minus the sportsbook's implied probability. Higher edge = bigger perceived advantage over the market.
3 of 3 models agree moneyline
TOR @ MIL
MIL
Avg conf: 46% The model's calibrated probability that a prediction is correct (0-100%). Tiers: HIGH (75%+), MED (60-74%), LOW (45-59%), NO EDGE (<45%).
3 of 3 models agree moneyline
BAL @ CLE
CLE
Avg conf: 44% The model's calibrated probability that a prediction is correct (0-100%). Tiers: HIGH (75%+), MED (60-74%), LOW (45-59%), NO EDGE (<45%). | +1.1% edge Our model's probability minus the sportsbook's implied probability. Higher edge = bigger perceived advantage over the market.
3 of 3 models agree moneyline
KCR @ DET
KCR
Avg conf: 44% The model's calibrated probability that a prediction is correct (0-100%). Tiers: HIGH (75%+), MED (60-74%), LOW (45-59%), NO EDGE (<45%). | -1.4% edge Our model's probability minus the sportsbook's implied probability. Higher edge = bigger perceived advantage over the market.

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Odds updated 2026-04-15 22:00:00.774582+00:00