Seiya Suzuki Singles

chc OF MLB

Seiya Suzuki projections and betting odds for Singles. Compare lines from DraftKings, FanDuel, BetMGM, and other sportsbooks.

Next Game Aug 8

Props & Odds

Singles

0.7
0.0 Floor
0.7 Projection
2.0 Ceiling
0.7
0.0 0.0 1.0 3.0
Very Unlikely 0.0 – 0.0
Below Average 0.0 – 0.0
Most Likely 0.0 – 1.0
Above Average 1.0 – 2.0
Exceptional 2.0 – 3.0
Line Comparison
2.5
1.5
0.5
Book Over 0.5 Under 0.5
Optimal Bet Optimal Bet
-108 +108
Underdog Underdog
-116 -
betr betr
-120 -120
PrizePicks PrizePicks
-120 -120
Dabble Dabble
-122 -122
Sportsbook Rhode Island Sportsbook Rhode Island
-124 -106
Onyx Odds Onyx Odds
-127 -109
DraftKings DraftKings
-127 -109
Caesars Caesars
-130 -
ProphetX ProphetX
-135 -114
Fliff Fliff
-135 -120
Sleeper Sleeper
-135 -122
Splash Sports Splash Sports
-137 -137
Fanduel Fanduel
-140 -
ParlayPlay ParlayPlay
-145 -118

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FAQ

Where can I find Seiya Suzuki Singles odds today?

This page shows live Seiya Suzuki Singles odds from every major sportsbook including DraftKings, FanDuel, BetMGM, and more. Lines update in close to real-time so you can compare and find the best value.

How are Seiya Suzuki Singles projections calculated?

Optimal Bet reverse engineers player prop odds across sportsbooks and betting exchanges to calculate projections. Instead of a single number, we generate a full probability distribution for Seiya Suzuki's Singles so you can see the range of likely outcomes and where the value sits.

What sportsbooks offer Seiya Suzuki Singles props?

Optimal Bet compares Seiya Suzuki Singles lines from all major US sportsbooks and exchanges including DraftKings, FanDuel, BetMGM, Caesars, Fanatics, Kalshi, Polymarket, ProphetX, Novig, and more. Availability depends on the current MLB schedule.

Should I bet the over or under on Seiya Suzuki Singles?

Use the projections section above to see how Seiya Suzuki's projected Singles compares to each sportsbook's line. The best approach is top-down: compare odds across books to find where one sportsbook is offering better value than the rest. When a line is significantly off from the consensus, that's where the edge is.