BOS -117 o8.0
NYY +108 u8.0
TOR -132 o8.5
MIA +122 u8.5
WAS +223 o10.0
PHI -248 u10.0
KC +109 o8.5
DET -118 u8.5
COL +140 o8.0
PIT -153 u8.0
HOU +104 o9.0
BAL -113 u9.0
CLE +111 o8.5
TEX -120 u8.5
SF +124 o7.0
MIL -135 u7.0
MIN -104 o9.5
CHW -104 u9.5
NYM -112 o9.5
ATL +104 u9.5
CIN -124 o9.0
AZ +115 u9.0
LAD -126 o8.0
SD +117 u8.0
CHC -137 o10.0
LAA +126 u10.0
ATH +162 o7.5
SEA -181 u7.5
Chicago
New York
NBCSCH, SNY, MLBN

Chicago @ New York picks

Citi Field

CHW vs NYM Picks

MLB Picks

There are no Expert or Computer Picks for this matchup at the moment. Visit our MLB Picks page to see all picks.

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CHW vs NYM Consensus Picks

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Consensus Picks

Our consensus picks show you what percentage of the public is betting on, you'll need to decide whether you want to bet with or against the public.
Moneyline

64% picking NY Mets

36%
64%

Total PicksCHW 81, NYM 144

Moneyline

69% picking NY Mets

31%
69%

Total PicksCHW 86, NYM 191

Moneyline

75% picking NY Mets

25%
75%

Total PicksCHW 27, NYM 79

Moneyline

61% picking NY Mets

39%
61%

Total PicksCHW 12, NYM 19

CHW vs NYM Top User Picks

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User Picks

Our user picks are made by you, our valued users - we highlight the best user picks, sharing the users who are on a hot streak.

There are no User Picks for this match up at the moment. Visit our Team Leaders page to see all User picks.

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About Units and “ROI”

Units are a standardized measurement used to determine the size of each of your bets relative to your bankroll. For example, if you have a bankroll of $200 and you bet 5% of your bankroll each time, each of your units is worth $10. A bettor with a $2000 bankroll who bets 5% per bet has units of $100. We use the number of units to standardize the amount the trend is up or down across different bet amounts.

ROI is the best indicator of success and measures how much you bet vs. how much you profited. Any positive ROI is good in sports betting with great long-term bettors sitting in the 5-7% range.

Sports Betting Bankroll Management and ROI Guide

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// Scripts for MLB A/B test