SealedSlate LOGIT v1Subscribe
MLB 03:10 KSTGiants @ RoyalsMLB 03:10 KSTMets @ BrewersWNBA 04:00 KSTMercury @ SparksWNBA 04:00 KSTLynx @ StormMLB 04:10 KSTNationals @ RockiesMLB 04:40 KSTAthletics @ DiamondbacksMLB 04:40 KSTReds @ MarinersMLB 05:07 KSTCardinals @ AngelsMLB 07:40 KSTTwins @ GuardiansMLB 07:40 KSTDodgers @ Phillies

New York Mets @ Milwaukee Brewers

MLB · 2026-07-23 03:10 KST · Scheduled
NYMAwayNew York Mets21%
@
MBHomeMilwaukee Brewers79%
Model PickMilwaukee Brewers 79%Market edge — disclosed after closing odds are collectedEvidence 12 structured · 4 qualitative
AI Summary grounded in real data · zero hallucination

Our model projects a 79% win probability for the Milwaukee Brewers, indicating a strong advantage over the New York Mets. This forecast is primarily driven by the Brewers' superior 'Pythagorean Expectation' and 'Team ERA'. However, the 'Starting Pitcher Matchup' presents a slight disadvantage for the Brewers, which could be a potential risk factor. The market edge for this pick is currently uncalculated.

Full deep analysis in Premium (coming soon)
  • In-depth breakdown of pick mechanics, key variables & scenarios
  • Sealed high-confidence picks & result alerts (KakaoTalk, email)
  • Parlay EV optimization & archive export
See pricing & Premium
Logistic-regression statistical model — predicts New York Mets vs Milwaukee Brewers by accumulating the log-odds contributions of 12 proven structured metrics. Only structured metrics enter the probability; qualitative and folklore factors get a label only. Predictions are sealed with SHA-256 before the game.
Model factor contribution How the 79% home win was derived
Home Advantage+2.5
Pythagorean Expectation+7.8
Season Win%+3.3
Home/Away Split+2.5
Team OBP+4.2
Team SLG+0.9
Team ERA+5.3
Team WHIP+2.4
Starting Pitcher Matchup-0.3
Baseline 50% → final home win78.7%
Each factor's log-odds contribution accumulated · only structured metrics reflected (qualitative/folklore excluded) · each %p converts log-odds to probability, so it's non-linear — a simple sum may not exactly equal (final − baseline)
Structured metric analysis 12 metrics · fully disclosed
MetricAnalysis (home vs away)Source
Home AdvantageMilwaukee Brewers at home — MLB historical home win rate ~.535 (ballpark familiarity, no travel)MLB StatsAPI
Pythagorean ExpectationHome 63.4% (510 RS/378 RA) vs Away 43.6% (416/479) — strength from runs scored/allowedMLB StatsAPI
Season Win%Home 63-38 (.624) vs Away 43-59 (.422)MLB StatsAPI
Last 10 Games FormHome 5-5 vs Away 5-5 · Home L1MLB StatsAPI
Home/Away SplitHome team home 33-19 · away team away 22-31MLB StatsAPI
Team OBPHome .336 vs Away .304 — foundation of scoringMLB StatsAPI
Team SLGHome .397 vs Away .382 (OPS .733/.686)MLB StatsAPI
Team ERAHome 3.44 vs Away 4.23 — lower is betterMLB StatsAPI
Team WHIPHome 1.16 vs Away 1.30 — baserunners allowed per inning (lower is better)MLB StatsAPI
Starting Pitcher MatchupHome Logan Henderson (ERA 2.97) vs Away Christian Scott (ERA 2.87)MLB StatsAPI
Hitting Detail (BABIP, K, BB)Home BABIP .305 · K 830 · BB 420 / Away BABIP .275 · K 846 · BB 322 (BABIP is luck-driven → not factored into probability)MLB StatsAPI
Pitching Detail (K/BB, HR9)Home K/BB 3.07 · HR9 0.99 / Away K/BB 2.55 · HR9 1.13MLB StatsAPI
Qualitative & folklore factors 4 factors · fully disclosed
Qualitative · Brewers' Ace Returns, Boosts Morale
The Brewers are riding high after ace Freddy Peralta's return saw them beat the Mets 8-3, claiming MLB's best record and significantly boosting team morale.
Basis: LLM · news · Brewers hit Freddy Peralta around in return to cla
Qualitative · Mets Amidst Trade Rumors
The Mets are currently embroiled in trade rumors involving former GM David Stearns, which could be a distraction for the team and impact player focus.
Basis: LLM · news · New Rumor Makes NY Mets & David Stearns PERFECT Tr
Qualitative · Brewers Welcome Back Former ROY
The Brewers are welcoming back a former NL Rookie of the Year and All-Star in this series, which could provide an emotional lift for the team.
Basis: LLM · news · Brewers Welcome Back Former NL Rookie Of The Year,
Qualitative · Mets' Losing Streak, Low Morale
The Mets are on a losing streak, including an 8-3 defeat to the Brewers, which likely has a negative impact on team morale and overall performance.
Basis: LLM · news · Brewers 8-3 Mets (Jul 20, 2026) Final Score
12 source headlines (auto-collected · basis disclosed)
  • New York Mets at Milwaukee Brewers Game Story, Scores/Highlights - 07/20/2026
  • Series Preview: Milwaukee Brewers vs. New York Mets
  • Brewers 8-3 Mets (Jul 20, 2026) Final Score
  • Brewers hit Freddy Peralta around in return to claim MLB's best record
  • New York Mets vs Milwaukee Brewers Live Stream: How to Watch MLB
  • Pratt hits 1st career homer as Brewers beat Mets 8-3 in Peralta’s return to Milwaukee
  • New Rumor Makes NY Mets & David Stearns PERFECT Trade Partner for Milwaukee Brewers?
  • Brewers Welcome Back Former NL Rookie Of The Year, All-Star In Series Vs. Mets
Frequently asked questions This game's prediction summary
New York Mets vs Milwaukee Brewers — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Milwaukee Brewers a 79% chance to win (Home 79% · Away 21%). MLB · 2026-07-23 03:10 KST.
How was the 78.7% home-win probability calculated?
Starting from a 50% baseline, we additively accumulate the log-odds contributions of 12 proven structured statistical metrics to reach the final 78.7%. Each factor's %p contribution is fully disclosed on the page; qualitative and folklore factors are not reflected in the probability.
Can this prediction be altered later?
No. Every prediction is sealed with a SHA-256 hash before the game starts and permanently recorded in the track record, making after-the-fact changes impossible. SealedSlate runs a transparent ledger that never inflates the hit rate and leaves missed predictions exactly as they were.
We don't compete on hit rate — every factor is fully disclosed and labeled. Only 📊 structured stats feed the probability (each factor's contribution shown in %p); ⚔️🔮 are context to weigh. Predictions are locked and sealed before the game — verify the hits directly on the track record.