Implied Win %: Projected Win %: The New York Mets are set to take on the San Francisco Giants in a National League matchup at Oracle Park on April 22, 2024. The Giants will be the home team for this game, with the Mets playing as the away team. The Giants are projected to start right-handed pitcher Keaton Winn, while the Mets will likely start left-handed pitcher Jose Quintana. According to the advanced-stat Power Rankings, Winn is an average starting pitcher, ranked #120 out of approximately 350 pitchers. Quintana, however, is considered one of the worst pitchers in MLB according to the same rankings. Winn has started four games this season, with a win-loss record of 1-3 and an ERA of 4.09, which is above average. His expected ERA (xERA) is 4.75, suggesting that he may have been lucky so far and could perform worse going forward. Quintana has also started four games, with a win-loss record of 1-1 and an impressive ERA of 3.05. However, his xFIP is 4.82, indicating that he may have been fortunate and could see a decline in performance. In terms of offense, the Giants rank as the 16th best team in MLB, while the Mets come in at 8th. However, the Giants have struggled with their batting average and stolen bases, ranking 21st and 29th respectively in these categories. The Mets have a higher batting average but are average in terms of home runs and stolen bases. When it comes to their bullpens, the Giants' bullpen is ranked as the second-best in MLB, while the Mets' bullpen ranks 21st. This could give the Giants an advantage in the later innings of the game. According to THE BAT X, the leading MLB projection system, the Giants are projected to be the favorites in this game, with a win probability of 60%. The Mets, on the other hand, are considered underdogs, with a win probability of 40%. The current moneyline reflects a close game, with the Giants at -120 and the Mets at +100. Based on the projections, the Giants are expected to score more runs than the Mets, with an average of 4.55 runs compared to the Mets' 3.86 runs. THE BAT X also suggests that the Giants have an 8% greater win probability than the betting market implies, potentially indicating value in betting on the Giants. Overall, this matchup between the Giants and the Mets is shaping up to be an intriguing game. The Giants will be looking to improve their record, while the Mets aim to continue their strong season. With the pitching matchup and offensive rankings in mind, the Giants have the edge according to projections. However, anything can happen in baseball, and both teams will be fighting for the win on April 22. The leading projection system (THE BAT) projects Jose Quintana in the 24th percentile when it comes to his strikeout skill. Typically, hitters like Starling Marte who hit a lot of groundballs are generally less successful when facing pitchers who also induce a lot of groundballs such as Keaton Winn. D.J. Stewart pulls a high percentage of his flyballs (36.8% — 94th percentile) and is a great match for the park considering he'll be hitting them towards the game's 2nd-shallowest RF fences in today's matchup. Tom Murphy has big-time HR ability (86th percentile) if he makes contact, but that's never a guarantee (29.7% K%). Today, however, opposing pitcher Jose Quintana is a pitch-to-contact type (14th percentile K%) — great news for Murphy. For more on today's game check out the comprehensive statistics, betting odds, and trends below. Be sure to check out all our free MLB picks here. No K. Winn HistoryNew York Mets vs San Francisco Giants Overview
New York Mets vs San Francisco Giants Win Probabilities
New York Mets vs San Francisco Giants Game Preview & Prediction
Quick Takes New York Mets:
Quick Takes San Francisco Giants:
Game Trends
Mets vs Giants Prediction: Mets 4.12 - Giants 4.64
MLB
New York Mets
San Francisco Giants
Team Records
NYM
Team Records
SF
46-35 Home 42-39 43-38 Road 38-43 65-51 vRHP 61-57 24-22 vLHP 19-25 47-46 vs>.500 46-59 42-27 vs<.500 34-23 5-5 Last10 6-4 11-9 Last20 11-9 20-10 Last30 14-16 Team Stats
NYM
Team Stats
SF
4.55 ERA 3.89 .248 Batting Avg Against .247 1.38 WHIP 1.24 .297 BABIP .302 9.9% BB% 6.8% 22.5% K% 23.1% 72.3% LOB% 72.1% .236 Batting Avg .238 .399 SLG .389 .715 OPS .703 .317 OBP .314 Pitchers
J. Quintana
K. Winn
29.2 Innings 22.0 5 GS 2 0-4 W-L 0-2 3.03 ERA 4.09 6.07 K/9 5.73 3.03 BB/9 2.05 0.00 HR/9 1.23 71.1% LOB% 74.6% 0.0% HR/FB% 17.6% 2.93 FIP 5.00 5.03 xFIP 4.49 .248 AVG .220 16.3% K% 15.4% 8.1% BB% 5.5% 5.13 SIERA 4.21 Recent Starts
Date
Opp
W/L
IP
H
R
ER
SO
BB
ST-PC
5/4
DETFaedo
ML N/AW7-2
TOTAL N/A5 4 2 2 3 1 45-77 4/28
MILPeralta
ML N/AL2-3
TOTAL N/A5 4 1 1 9 0 48-78 4/22
CHCSmyly
ML N/AW4-2
TOTAL N/A4.2 3 2 2 3 3 51-87 4/17
WSHCorbin
ML N/AW5-3
TOTAL N/A4 5 3 3 2 3 46-85 4/12
CHCSmyly
ML N/AL1-2
TOTAL N/A5.1 5 1 1 3 2 43-71 Betting Trends
NYM
Betting Trends
SF
OVERALL OVERALL 2-1-0 Win/Loss/Tie 1-2-0 2-1-0 ATS W/L/P 1-2-0 5 Avg Score 3.67 6 Avg Opp Score 8.33 AWAY HOME 2-1-0 Win/Loss/Tie 1-2-0 2-1-0 ATS W/L/P 1-2-0 5 Avg Score 3.67 6 Avg Opp Score 8.33
NYM
Betting Trends
SF
OVERALL OVERALL 4-1-0 Win/Loss/Tie 3-2-0 4-1-0 ATS W/L/P 3-2-0 5.4 Avg Score 3.8 4 Avg Opp Score 5.2 AWAY HOME 3-2-0 Win/Loss/Tie 3-2-0 4-1-0 ATS W/L/P 3-2-0 7.2 Avg Score 4.6 5.6 Avg Opp Score 5.2
NYM
Betting Trends
SF
OVERALL OVERALL 8-2-0 Win/Loss/Tie 5-5-0 8-2-0 ATS W/L/P 4-6-0 6.4 Avg Score 4.2 4 Avg Opp Score 4.8 AWAY HOME 6-4-0 Win/Loss/Tie 5-5-0 7-3-0 ATS W/L/P 4-6-0 5.8 Avg Score 3.3 5.2 Avg Opp Score 4.7 Head to Head
Teams Last 10