Model pick
Giants
Win probability
0.0%
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Team Stats
Giants
Record
59-84
Win%
.413
Games Back
26.5
Run Diff
-73
Last 10
5-5
Streak
W1
Defense Rank (Fielding %)
28th of 30
Mets
Record
64-78
Win%
.451
Games Back
20.0
Run Diff
-50
Last 10
4-6
Streak
L1
Defense Rank (Fielding %)
25th of 30
Head-to-head · live from MLB Stats API
Team Stat Sheet
| Lineup Production | ||
| 4.2 | R/GRuns scored per game | 4.2 |
| 0.309 | OBPOn-base percentage | 0.306 |
| 0.718 | OPSOn-base + slugging | 0.696 |
| 0.248 | AVGBatting average | 0.236 |
| 164 | HRHome runs | 174 |
| 601 | RunsRuns scored | 592 |
| 1144 | KBatting strikeouts | 1204 |
| 397 | BBWalks drawn | 451 |
| Pitching Staff | ||
| 4.7 | RA/GRuns allowed per game | 4.5 |
| 4.39 | ERAEarned run average | 4.13 |
| 1.360 | WHIPWalks + hits per IP | 1.310 |
| 7.7 | K/9Strikeouts per 9 IP | 9.0 |
| 3.8 | BB/9Walks per 9 IP | 3.6 |
| 8.5 | H/9Hits per 9 IP | 8.2 |
2026 season-to-date team stats, live from MLB Stats API.
Analytics
Model Signals
| Win ProbabilityToss-up · Mixed signals | 0.0% | |
Team strengthPythagorean win profile +0.000
| ||
Starting pitcherLast-five-start FIP +0.00
| ||
BullpenRolling 7-day WHIP +0.000
| ||
Hitting formAverage OPS edge · L3/L7/L15/season -0.044
| ||
1st-inning run prediction based on today's real lineups and starters
YRFI / NRFI
Model leans
NRFI 57.7%
42.3% YRFI · 57.7% NRFI
Why
Giants: NRFI in 2 of last 5
Mets: NRFI in 1 of last 5
Christian Scott: no 1st-inning run in 3 of last 5 starts
A pick only becomes a play once the model is confident enough (65%+ for YRFI, 35%- for NRFI). No sportsbook line exists for this market yet, so this reflects the model's own confidence rather than an edge against posted odds.
Cesar Perdomo
Christian Scott