Who has the best runs matchup today (Tuesday, May 26, 2026)?

Konnor Griffin (PIT) — top of the board at 100, facing LHP Jordan Wicks. A solid bat into a beatable arm is what pushes it to No. 1.

What are the best MLB runs matchups today (Tuesday, May 26, 2026)?

The top runs matchups on Tuesday, May 26, 2026: Konnor Griffin (100), Kevin Alcántara (100), Taylor Ward (96), Blake Dunn (96), Henry Bolte (96). The full board ranks every hitter in every game by runs upside.

Did the top runs matchup get a run on Tuesday, May 26, 2026?

Yes — Konnor Griffin got 2 runs.

How is the runs matchup score calculated?

It reads how often he scores against that hand, weighted to recent form, then asks how good the bats behind him are at bringing him home. Spot in the order matters more here than almost anywhere. Then the bullpen, park and weather. 0–100 across the slate.

It's the share of a hitter's plate appearances that end with him scoring a run. Around .117 is league average. Runs depend on getting on base and the bats behind you, so lineup spot and team context matter as much as the individual.

What does the score actually mean?

Higher is better. Runs scored is a team stat wearing one player's name — the top of the order in a good spot will out-grade a better hitter batting seventh, because he gets more trips and more help.

What's the confidence meter?

It's how much data is behind the call — sample size on both the hitter and the pitcher, plus whether the lineup's official. A high score with low confidence is a thinner read than the same score backed by a deep track record. It's not a probability of a run.

What is a platoon split (handedness split)?

Same idea as the other contact boards, with one wrinkle: scoring a run starts with reaching base. The score leans on his rate against today's hand, then asks whether the bats behind him can bring him around.

What are park factors?

A park that gives up hits gives up runs. Gaps, altitude, and weather all raise the odds a leadoff single turns into a crossed plate. Above 1.00 bumps the score, below 1.00 trims it.

What do "2W", "SZN" and "2Y" mean?

The timeframes behind each rate: the last two weeks (recent form), the current season, and a trailing two years (a stable baseline). Recent form counts most, and small samples get pulled toward league average so a hot week doesn't fool the model.

What do "≈ est", "Due" and "Not starting" mean?

"≈ est" is a hitter we don't have splits for yet — a rookie or unmatched ID — shown at a league-baseline estimate instead of dropped. "Due" means he hasn't recorded a run in a while and profiles for regression. "Not starting" means he was projected but didn't make the official lineup, so he slides to the bottom where you can still look him up.

Can I use this for runs props or DFS?

That's what it's built for — pre-slate research. The board surfaces which hitters have the best conditions today, and where one exists, we show the book's "1+ run" line so you can shop the price. We're not a sportsbook and we don't post picks — we show the matchup data, the line, and the result. (Best-price and all-book odds are a Pro feature.)

How accurate is the model?

We grade every board against the box score. Runs scored leans on teammates, so the top of this board out-hits the slate by a smaller margin than the pure-contact boards do — the posted season rate shows exactly how much.

When do lineups update?

Projected lineups (marked "Proj") come from each team's last game. Official lineups usually drop about two hours before first pitch, and the board updates itself as they post. Batting order is a big driver, so it's worth a second look mid-afternoon — rankings shift as lineups lock.

Yes. The full board, every game page, and the daily archive are free, no login. Best-price odds and the betting tools are the paid tier.

Best MLB runs matchups — Tuesday, May 26, 2026

Every hitter on the Tuesday, May 26, 2026 slate — ranked by who's most likely to score a run. Results show how each call played out.

How the model did — Tuesday, May 26, 2026

Our top 5 hitters went 2/5 (40%) on 1+ run, against 43% on the season.

Top 5

2/540%

season 43%

Top 10

5/1050%

season 47%

Full slate

115/27043%

season 32%

Top call Konnor Griffin came through. Kevin Alcántara didn't.

Each hitter below carries a 0–100 matchup score — a read on the spot in front of him, not a ranking of how good he is, so a star in a brutal matchup can sit below an average hitter in a soft one. Confidence next to it is coverage: how much real data backs the number. Every call here was graded against the box score — wins and misses both, with the record on this page. How this board is built →

Final · 6–3

WSHaway

CLEhomeTop matchup75 Final · 1–6

TBaway

BALhomeTop matchup96 Final · 10–6

LAAaway

DEThomeTop matchup75 Final · 1–12

CHCaway

PIThomeTop matchup100 Final · 7–6

ATLaway

BOShomeTop matchup92 Final · 1–8

MIAaway

TORhomeTop matchup83 Final · 7–2

CINaway

NYMhomeTop matchup96 Final · 5–3

MINaway

CWShomeTop matchup75 Final · 15–1

NYYaway

KChomeTop matchup83 Final · 0–6

STLaway

MILhomeTop matchup83 Final · 7–10

HOUaway

TEXhomeTop matchup83 Final · 4–1

SEAaway

ATHhomeTop matchup96 Final · 4–3

PHIaway

SDhomeTop matchup87 Final · 7–5

AZaway

SFhomeTop matchup87 Final · 6–15

COLaway

LADhomeTop matchup87

PosSort

#Hitter · MatchupScore

115 with a RLive count — updates as games play

1
Andy PagesCF
LADvsCOL· 4-for-5
3RFinal
Proj 0.5 R, #40
T1
Ben RiceDH
NYY@KC· 3-for-5
3RFinal
Proj 0.5 R, #142
T1
Amed Rosario3B
NYY@KC· 4-for-6
3RFinal
Proj 0.5 R, #173
T1
Anthony VolpeSS
NYY@KC· 3-for-6
3RFinal
Proj 0.5 R, #235
5
Konnor GriffinSS
PITvsCHC· 1-for-4
2RFinal
Proj 0.6 R, #1
T5
Willy AdamesSS
SFvsAZ· 2-for-5
2RFinal
Proj 0.5 R, #15
T5
Jeremy PeñaSS
HOU@TEX· 1-for-4
2RFinal
Proj 0.5 R, #30
T5
James WoodRF
WSH@CLE· 3-for-4
2RFinal
Proj 0.5 R, #47
T5
Zach NetoSS
LAA@DET· 3-for-4
2RFinal
Proj 0.5 R, #49
T5
Daulton VarshoCF
TORvsMIA· 2-for-4
2RFinal
Proj 0.5 R, #52
T5
Nick Gonzales3B
PITvsCHC· 2-for-5
2RFinal
Proj 0.5 R, #63
T5
Bryce Harper1B
PHI@SD· 1-for-2
2RFinal
Proj 0.5 R, #67
T5
Freddie Freeman1B
LADvsCOL· 2-for-3
2RFinal
Proj 0.5 R, #70
T5
Munetaka Murakami1B
CWSvsMIN· 1-for-5
2RFinal
Proj 0.5 R, #79
T5
Yordan AlvarezDH
HOU@TEX· 2-for-5
2RFinal
Proj 0.5 R, #88
T5
Samuel BasalloC
BALvsTB· 1-for-4
2RFinal
Proj 0.5 R, #93
T5
Mookie BettsSS
LADvsCOL· 3-for-5
2RFinal
Proj 0.5 R, #100
T5
Jake Burger1B
TEXvsHOU· 1-for-4
2RFinal
Proj 0.5 R, #145
T5
Evan CarterCF
TEXvsHOU· 3-for-4
2RFinal
Proj 0.5 R, #176
T5
Cam SmithRF
HOU@TEX· 1-for-3
2RFinal
Proj 0.5 R, #177
T5
Michael Harris IICF
ATL@BOS· 4-for-4
2RFinal
Proj 0.5 R, #180
T5
Will SmithC
LADvsCOL· 2-for-4
2RFinal
Proj 0.5 R, #190
T5
Jazz Chisholm Jr.2B
NYY@KC· 2-for-5
2RFinal
Proj 0.5 R, #203
T5
Steven KwanLF
CLEvsWSH· 1-for-3
2RFinal
Proj 0.5 R, #223
T5
Wenceel PérezRF
DETvsLAA· 1-for-3
2RFinal
Proj 0.4 R, #267
T5
Logan O'HoppeC
LAA@DET· 2-for-4
2RFinal
Proj 0.4 R, #268
27
Blake DunnCF
CIN@NYM· 1-for-4
1RFinal
Proj 0.6 R, #4
T27
Jarren DuranLF
BOSvsATL· 2-for-5
1RFinal
Proj 0.6 R, #6
T27
Jared TrioloSS
PITvsCHC· 1-for-1
1RFinal
Proj 0.6 R, #8
T27
Chandler SimpsonLF
TB@BAL· 2-for-4
1RFinal
Proj 0.5 R, #10
T27
Ketel Marte2B
AZ@SF· 1-for-5
1RFinal
Proj 0.5 R, #16
T27
Bo Bichette3B
NYMvsCIN· 1-for-4
1RFinal
Proj 0.5 R, #20
T27
George SpringerDH
TORvsMIA· 3-for-4
1RFinal
Proj 0.5 R, #23
T27
Trent GrishamCF
NYY@KC· 3-for-7
1RFinal
Proj 0.5 R, #26
T27
Christian YelichDH
MILvsSTL· 3-for-5
1RFinal
Proj 0.5 R, #27
T27
Joc PedersonDH
TEXvsHOU· 1-for-4
1RFinal
Proj 0.5 R, #29
T27
Ceddanne RafaelaCF
BOSvsATL· 1-for-5
1RFinal
Proj 0.5 R, #31
T27
Mauricio DubónLF
ATL@BOS· 1-for-4
1RFinal
Proj 0.5 R, #32
T27
Gunnar HendersonSS
BALvsTB· 0-for-4
1RFinal
Proj 0.5 R, #34
T27
Trea TurnerSS
PHI@SD· 2-for-5
1RFinal
Proj 0.5 R, #37
T27
Casey SchmittLF
SFvsAZ· 2-for-5
1RFinal
Proj 0.5 R, #38
T27
Sal Stewart1B
CIN@NYM· 2-for-5
1RFinal
Proj 0.5 R, #43
T27
Kevin McGonigleSS
DETvsLAA· 3-for-4
1RFinal
Proj 0.5 R, #48
T27
Byron BuxtonCF
MIN@CWS· 0-for-4
1RFinal
Proj 0.5 R, #51
T27
Jackson ChourioLF
MILvsSTL· 1-for-3
1RFinal
Proj 0.5 R, #56
T27
Alejandro OsunaLF
TEXvsHOU· 0-for-3
1RFinal
Proj 0.5 R, #58
T27
Wilyer AbreuRF
BOSvsATL· 0-for-4
1RFinal
Proj 0.5 R, #61
T27
Matt Olson1B
ATL@BOS· 1-for-4
1RFinal
Proj 0.5 R, #62
T27
Juan SotoLF
NYMvsCIN· 1-for-4
1RFinal
Proj 0.5 R, #65
T27
Matt Chapman3B
SFvsAZ· 0-for-1
1RFinal
Proj 0.5 R, #68
T27
Geraldo PerdomoSS
AZ@SF· 1-for-5
1RFinal
Proj 0.5 R, #69
T27
Spencer Steer1B
CIN@NYM· 0-for-3
1RFinal
Proj 0.5 R, #73
T27
Mike TroutCF
LAA@DET· 0-for-4
1RFinal
Proj 0.5 R, #78
T27
Jesús SánchezRF
TORvsMIA· 2-for-4
1RFinal
Proj 0.5 R, #81
T27
Brice Turang2B
MILvsSTL· 0-for-3
1RFinal
Proj 0.5 R, #85
T27
Brandon NimmoRF
TEXvsHOU· 1-for-4
1RFinal
Proj 0.5 R, #87
T27
Josh Naylor1B
SEA@ATH· 2-for-4
1RFinal
Proj 0.5 R, #95
T27
Manny Machado3B
SDvsPHI· 1-for-3
1RFinal
Proj 0.5 R, #96
T27
Brett SullivanC
COL@LAD· 1-for-2
1RFinal
Proj 0.5 R, #101
T27
Rob RefsnyderDH
SEA@ATH· 1-for-2
1RFinal
Proj 0.5 R, #105
T27
Vaughn Grissom2B
LAA@DET· 3-for-5
1RFinal
Proj 0.5 R, #109
T27
Paul Goldschmidt1B
NYY@KC· 2-for-6
1RFinal
Proj 0.5 R, #115
T27
William ContrerasC
MILvsSTL· 2-for-4
1RFinal
Proj 0.5 R, #116
T27
Josh Jung3B
TEXvsHOU· 1-for-3
1RFinal
Proj 0.5 R, #118
T27
Austin Riley3B
ATL@BOS· 1-for-3
1RFinal
Proj 0.5 R, #122
T27
Leody TaverasCF
BALvsTB· 2-for-4
1RFinal
Proj 0.5 R, #123
T27
Tyler SoderstromLF
ATHvsSEA· 2-for-4
1RFinal
Proj 0.5 R, #124
T27
Ryan WaldschmidtCF
AZ@SF· 1-for-4
1RFinal
Proj 0.5 R, #128
T27
Kyle TuckerRF
LADvsCOL· 1-for-5
1RFinal
Proj 0.5 R, #129
T27
Braxton FulfordDH
COL@LAD· 1-for-3
1RFinal
Proj 0.5 R, #130
T27
Kody Clemens1B
MIN@CWS· 1-for-4
1RFinal
Proj 0.5 R, #138
T27
Yohendrick PiñangoLF
TORvsMIA· 1-for-4
1RFinal
Proj 0.5 R, #139
T27
Jake Bauers1B
MILvsSTL· 2-for-4
1RFinal
Proj 0.5 R, #143
T27
Jeremiah Jackson2B
BALvsTB· 1-for-4
1RFinal
Proj 0.5 R, #147
T27
Dane MyersCF
CIN@NYM· 2-for-4
1RFinal
Proj 0.5 R, #149
T27
Mitch GarverC
SEA@ATH· 2-for-4
1RFinal
Proj 0.5 R, #151
T27
Mickey GasperC
BOSvsATL· 1-for-3
1RFinal
Proj 0.5 R, #152
T27
Mike YastrzemskiLF
ATL@BOS· 1-for-1
1RFinal
Proj 0.5 R, #153
T27
Jose SiriCF
LAA@DET· 1-for-1
1RFinal
Proj 0.5 R, #157
T27
Esmerlyn ValdezRF
PITvsCHC· 1-for-4
1RFinal
Proj 0.5 R, #160
T27
Ildemaro Vargas1B
AZ@SF· 1-for-4
1RFinal
Proj 0.5 R, #165
T27
Jake McCarthyLF
COL@LAD· 2-for-4
1RFinal
Proj 0.5 R, #167
T27
Ernie Clement2B
TORvsMIA· 1-for-4
1RFinal
Proj 0.5 R, #170
T27
Jakob MarseeCF
MIA@TOR· 1-for-3
1RFinal
Proj 0.5 R, #171
T27
Garrett MitchellCF
MILvsSTL· 1-for-4
1RFinal
Proj 0.5 R, #174
T27
Nick Sogard2B
BOSvsATL· 1-for-4
1RFinal
Proj 0.5 R, #179
T27
JJ BledayLF
CIN@NYM· 3-for-5
1RFinal
Proj 0.5 R, #184
T27
J.T. RealmutoC
PHI@SD· 2-for-3
1RFinal
Proj 0.5 R, #187
T27
Kyle Karros3B
COL@LAD· 1-for-4
1RFinal
Proj 0.5 R, #191
T27
Daylen LileLF
WSH@CLE· 1-for-3
1RFinal
Proj 0.5 R, #193
T27
Jo AdellRF
LAA@DET· 1-for-5
1RFinal
Proj 0.5 R, #195
T27
Tyler StephensonC
CIN@NYM· 2-for-4
1RFinal
Proj 0.5 R, #199
T27
Ezequiel DuranSS
TEXvsHOU· 2-for-4
1RFinal
Proj 0.5 R, #206
T27
Spencer Horwitz1B
PITvsCHC· 2-for-3
1RFinal
Proj 0.5 R, #208
T27
Ramón LaureanoLF
SDvsPHI· 1-for-3
1RFinal
Proj 0.5 R, #217
T27
Miguel Rojas2B
LADvsCOL· 2-for-5
1RFinal
Proj 0.5 R, #221
T27
Troy JohnstonRF
COL@LAD· 1-for-4
1RFinal
Proj 0.5 R, #222
T27
Jacob YoungCF
WSH@CLE· 1-for-4
1RFinal
Proj 0.5 R, #224
T27
Oswald Peraza2B
LAA@DET· 1-for-4
1RFinal
Proj 0.5 R, #226
T27
Ryan KreidlerSS
MIN@CWS
1RFinal
Proj 0.5 R, #228
T27
Matt McLain2B
CIN@NYM· 1-for-4
1RFinal
Proj 0.5 R, #230
T27
Brandon ValenzuelaC
TORvsMIA· 2-for-4
1RFinal
Proj 0.5 R, #232
T27
Brice MatthewsCF
HOU@TEX· 1-for-3
1RFinal
Proj 0.5 R, #239
T27
Isiah Kiner-Falefa2B
BOSvsATL· 2-for-3
1RFinal
Proj 0.5 R, #240
T27
Jackson Holliday2B
BALvsTB· 2-for-3
1RFinal
Proj 0.4 R, #242
T27
Nasim Nuñez2B
WSH@CLE· 1-for-4
1RFinal
Proj 0.4 R, #252
T27
Matt VierlingCF
DETvsLAA· 1-for-4
1RFinal
Proj 0.4 R, #253
T27
Donovan Walton2B
LAA@DET· 1-for-5
1RFinal
Proj 0.4 R, #254
T27
Luke Keaschall2B
MIN@CWS· 1-for-4
1RFinal
Proj 0.4 R, #256
T27
Lenyn Sosa2B
TORvsMIA· 0-for-3
1RFinal
Proj 0.4 R, #257
T27
Austin WellsC
NYY@KC· 3-for-6
1RFinal
Proj 0.4 R, #260
T27
Kyle HigashiokaC
TEXvsHOU· 0-for-2
1RFinal
Proj 0.4 R, #263
T27
Brayan RocchioSS
CLEvsWSH· 3-for-3
1RFinal
Proj 0.4 R, #265
T27
Keibert RuizC
WSH@CLE· 2-for-4
1RFinal
Proj 0.4 R, #266
T27
Rikuu NishidaRF
CWSvsMIN· 1-for-4
1RFinal
Proj 0.4 R, #269

Best MLB Runs Matchups — Tuesday, May 26, 2026

Konnor Griffin (PIT) is the top runs matchup on the Tuesday, May 26, 2026 board at 100, with Kevin Alcántara (CHC) and Taylor Ward (BAL) right behind. Every hitter on the slate is ranked by who's most likely to score a run — on-base ability, the arm and bullpen they face, lineup spot, park, and weather. It's the read DFS and prop players make before lock.

Top runs spot: Konnor Griffin

Konnor Griffin (PIT) tops the board at 100, facing LHP Jordan Wicks. The righty is scoring at — R/PA against lefties this year, a solid bat that turns into a run in about 12% of his trips. And Jordan Wicks has been thin against lefties lately. The bullpen behind him is roughly average to that side. He's hitting in a spot worth about 4.7 trips, so the volume's there. He's just .000 in 3 career PA against Jordan Wicks, but that's a tiny sample and the matchup says regression. It all sets up in a neutral park, weather helping.

The rest of the top of the board

Kevin Alcántara (CHC) (100) vs RHP Mitch Keller: a solid bat at .117 into an arm with little track record against the same side.
Taylor Ward (BAL) (96) vs RHP Griffin Jax: a solid bat at .117 into an arm with little track record against the same side.
Blake Dunn (CIN) (96) vs LHP David Peterson: a solid bat at .117 into an arm with little track record against the same side.
Henry Bolte (ATH) (96) vs RHP Emerson Hancock: a solid bat at .117 into an arm with little track record against the same side.
Jarren Duran (BOS) (92) vs RHP Spencer Strider: a solid bat at .117 into an arm with little track record against the same side.
Ronald Acuña Jr. (ATL) (92) vs LHP Ranger Suarez: a solid bat at .117 into an arm with little track record against the same side, due to bounce back.
Jared Triolo (PIT) (91) vs LHP Jordan Wicks: a solid bat at .117 into an arm with little track record against the same side, due to bounce back.

How it played out

5 of the top 10 runs matchups landed at least one run. Top play Konnor Griffin finished with 2 runs. We post the result next to every projection so you can grade the board yourself — and so the model gets re-tuned against what actually happened.

How to read these runs matchups

Each score (0–100) starts with the hitter's runs scored per plate appearance against the hand he's facing — weighted toward the last two weeks, then the season, then a two-year baseline. Then it layers in the bullpen, his spot in the order, and park and weather. Higher means more of it points his way. It's context, not a lock — a great spot still goes 0-for-4 sometimes, and a tough one runs into one. The edge is in stacking the odds, and since we grade every board, you can see how often the top of the list delivers.

Keep reading

What the runs board is

The Runs board projects the chance a hitter scores a run. One statistical model scores every matchup on the slate the same way — a star and a backup judged on the matchup in front of them, not their name — and every number is graded against the real box score once the games go final.

How the model gets its number

It isn't a gut call or a name game. The projection is built from a few things:

His on-base ability at the top of the order.
The bats due up behind him.
The opposing run-prevention.

Those pieces combine into one number, and the model re-tunes itself weekly against how its past calls actually landed.

Is there a betting edge here?

Like RBIs, runs is a lumpy market that grades efficient once you model the clustering honestly. Transparency board — our number set beside the line, graded.

How to use it

Useful context for top-of-the-order run creation, not a lean.

Everything here is a research signal from the model, graded in public — not betting advice, and no outcome is guaranteed.

Learn more: How the model works · The picks story · Today's plays

Frequently asked questions

Who has the best runs matchup today (Tuesday, May 26, 2026)?: Konnor Griffin (PIT) — top of the board at 100, facing LHP Jordan Wicks. A solid bat into a beatable arm is what pushes it to No. 1.
What are the best MLB runs matchups today (Tuesday, May 26, 2026)?: The top runs matchups on Tuesday, May 26, 2026: Konnor Griffin (100), Kevin Alcántara (100), Taylor Ward (96), Blake Dunn (96), Henry Bolte (96). The full board ranks every hitter in every game by runs upside.
Did the top runs matchup get a run on Tuesday, May 26, 2026?: Yes — Konnor Griffin got 2 runs.
How is the runs matchup score calculated?: It reads how often he scores against that hand, weighted to recent form, then asks how good the bats behind him are at bringing him home. Spot in the order matters more here than almost anywhere. Then the bullpen, park and weather. 0–100 across the slate.
What does R/PA mean?: It's the share of a hitter's plate appearances that end with him scoring a run. Around .117 is league average. Runs depend on getting on base and the bats behind you, so lineup spot and team context matter as much as the individual.
What does the score actually mean?: Higher is better. Runs scored is a team stat wearing one player's name — the top of the order in a good spot will out-grade a better hitter batting seventh, because he gets more trips and more help.
What's the confidence meter?: It's how much data is behind the call — sample size on both the hitter and the pitcher, plus whether the lineup's official. A high score with low confidence is a thinner read than the same score backed by a deep track record. It's not a probability of a run.
What is a platoon split (handedness split)?: Same idea as the other contact boards, with one wrinkle: scoring a run starts with reaching base. The score leans on his rate against today's hand, then asks whether the bats behind him can bring him around.
What are park factors?: A park that gives up hits gives up runs. Gaps, altitude, and weather all raise the odds a leadoff single turns into a crossed plate. Above 1.00 bumps the score, below 1.00 trims it.
What do "2W", "SZN" and "2Y" mean?: The timeframes behind each rate: the last two weeks (recent form), the current season, and a trailing two years (a stable baseline). Recent form counts most, and small samples get pulled toward league average so a hot week doesn't fool the model.
What do "≈ est", "Due" and "Not starting" mean?: "≈ est" is a hitter we don't have splits for yet — a rookie or unmatched ID — shown at a league-baseline estimate instead of dropped. "Due" means he hasn't recorded a run in a while and profiles for regression. "Not starting" means he was projected but didn't make the official lineup, so he slides to the bottom where you can still look him up.
Can I use this for runs props or DFS?: That's what it's built for — pre-slate research. The board surfaces which hitters have the best conditions today, and where one exists, we show the book's "1+ run" line so you can shop the price. We're not a sportsbook and we don't post picks — we show the matchup data, the line, and the result. (Best-price and all-book odds are a Pro feature.)
How accurate is the model?: We grade every board against the box score. Runs scored leans on teammates, so the top of this board out-hits the slate by a smaller margin than the pure-contact boards do — the posted season rate shows exactly how much.
When do lineups update?: Projected lineups (marked "Proj") come from each team's last game. Official lineups usually drop about two hours before first pitch, and the board updates itself as they post. Batting order is a big driver, so it's worth a second look mid-afternoon — rankings shift as lineups lock.
Is MatchWiz free?: Yes. The full board, every game page, and the daily archive are free, no login. Best-price odds and the betting tools are the paid tier.