Who has the best runs matchup today (Monday, June 8, 2026)?

Zach Neto (LAA) — top of the board at 100, facing RHP Spencer Arrighetti. A solid bat into a beatable arm is what pushes it to No. 1.

What are the best MLB runs matchups today (Monday, June 8, 2026)?

The top runs matchups on Monday, June 8, 2026: Zach Neto (100), Jeremy Peña (100), Casey Schmitt (96), James Wood (96), Shea Langeliers (96). The full board ranks every hitter in every game by runs upside.

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 — Monday, June 8, 2026

Every hitter on the Monday, June 8, 2026 slate — ranked by who's most likely to score a run. Results show how each call played out.

How the model did — Monday, June 8, 2026

Our top 5 hitters went 4/5 (80%) on 1+ run, against 49% on the season.

Top 5

4/580%

season 49%

Top 10

6/1060%

season 52%

Full slate

57/14440%

season 36%

Top call Zach Neto came through. Casey Schmitt 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

SEAaway

BALhomeTop matchup75 Final · 1–3

BOSaway

TBhomeTop matchup83 Final · 7–5

NYYaway

CLEhomeTop matchup83 Final · 5–2

PHIaway

TORhomeTop matchup83 Final · 5–4

HOUaway

LAAhomeTop matchup100 Final · 2–6

CINaway

SDhomeTop matchup87 Final · 4–3

WSHaway

SFhomeTop matchup96 Final · 15–14

MILaway

ATHhomeTop matchup96

Not starting46 not in the official lineup — moved to the bottom

PosSort

#Hitter · Matchup · 190 shownScore

67 with a RLive count — updates as games play

1
Jackson ChourioLF
MIL@ATH· 3-for-5
3RFinal
Proj 0.5 R, #12
T1
Nick Kurtz1B
ATHvsMIL· 3-for-6
3RFinal
Proj 0.5 R, #13
T1
William ContrerasC
MIL@ATH· 3-for-6
3RFinal
Proj 0.5 R, #44
4
Shea LangeliersC
ATHvsMIL· 3-for-7
2RFinal
Proj 0.6 R, #5
T4
Christian YelichDH
MIL@ATH· 2-for-7
2RFinal
Proj 0.6 R, #6
T4
Trent GrishamCF
NYY@CLE· 2-for-4
2RFinal
Proj 0.5 R, #19
T4
Brice Turang2B
MIL@ATH· 1-for-6
2RFinal
Proj 0.5 R, #28
T4
Ben RiceDH
NYY@CLE· 2-for-3
2RFinal
Proj 0.5 R, #36
T4
Jung Hoo LeeRF
SFvsWSH· 4-for-5
2RFinal
Proj 0.5 R, #57
T4
Josh Naylor1B
SEA@BAL· 2-for-4
2RFinal
Proj 0.5 R, #62
T4
Xander BogaertsSS
SDvsCIN· 2-for-4
2RFinal
Proj 0.5 R, #69
T4
Tyler SoderstromLF
ATHvsMIL· 3-for-4
2RFinal
Proj 0.5 R, #84
T4
Zack Gelof3B
ATHvsMIL· 2-for-6
2RFinal
Proj 0.5 R, #109
14
Zach NetoSS
LAAvsHOU· 1-for-4
1RFinal
Proj 0.6 R, #1
T14
Jeremy PeñaSS
HOU@LAA· 0-for-3
1RFinal
Proj 0.6 R, #2
T14
James WoodRF
WSH@SF· 1-for-4
1RFinal
Proj 0.6 R, #4
T14
Luis García Jr.1B
WSH@SF· 2-for-4
1RFinal
Proj 0.5 R, #10
T14
Yandy DíazDH
TBvsBOS· 1-for-3
1RFinal
Proj 0.5 R, #14
T14
Yordan AlvarezDH
HOU@LAA· 0-for-4
1RFinal
Proj 0.5 R, #20
T14
JJ BledayLF
CIN@SD· 1-for-4
1RFinal
Proj 0.5 R, #24
T14
Cole Young2B
SEA@BAL· 1-for-5
1RFinal
Proj 0.5 R, #30
T14
Trea TurnerSS
PHI@TOR· 0-for-4
1RFinal
Proj 0.5 R, #33
T14
José Ramírez3B
CLEvsNYY· 1-for-4
1RFinal
Proj 0.5 R, #35
T14
Jo AdellRF
LAAvsHOU· 0-for-4
1RFinal
Proj 0.5 R, #37
T14
Isaac Paredes3B
HOU@LAA· 1-for-5
1RFinal
Proj 0.5 R, #38
T14
CJ AbramsSS
WSH@SF· 2-for-4
1RFinal
Proj 0.5 R, #42
T14
Brent RookerDH
ATHvsMIL· 0-for-5
1RFinal
Proj 0.5 R, #43
T14
Julio RodríguezCF
SEA@BAL· 0-for-3
1RFinal
Proj 0.5 R, #46
T14
Bryce Harper1B
PHI@TOR· 0-for-3
1RFinal
Proj 0.5 R, #49
T14
Jose Altuve2B
HOU@LAA· 0-for-5
1RFinal
Proj 0.5 R, #54
T14
Blake PerkinsCF
MIL@ATH· 1-for-2
1RFinal
Proj 0.5 R, #60
T14
Brandon MarshLF
PHI@TOR· 0-for-3
1RFinal
Proj 0.5 R, #66
T14
Nick Madrigal3B
LAAvsHOU· 1-for-3
1RFinal
Proj 0.5 R, #71
T14
Brice MatthewsCF
HOU@LAA· 1-for-2
1RFinal
Proj 0.5 R, #72
T14
Ernie Clement2B
TORvsPHI· 2-for-4
1RFinal
Proj 0.5 R, #77
T14
Bryce EldridgeDH
SFvsWSH· 2-for-5
1RFinal
Proj 0.5 R, #82
T14
Andrew Vaughn1B
MIL@ATH· 4-for-6
1RFinal
Proj 0.5 R, #83
T14
Leody TaverasCF
BALvsSEA· 1-for-4
1RFinal
Proj 0.5 R, #85
T14
Gavin Sheets1B
SDvsCIN· 1-for-4
1RFinal
Proj 0.5 R, #88
T14
Noelvi MarteRF
CIN@SD· 1-for-4
1RFinal
Proj 0.5 R, #89
T14
Henry BolteCF
ATHvsMIL· 1-for-6
1RFinal
Proj 0.5 R, #92
T14
Angel MartínezLF
CLEvsNYY· 1-for-4
1RFinal
Proj 0.5 R, #98
T14
Jase BowenRF
SDvsCIN· 2-for-3
1RFinal
Proj 0.5 R, #103
T14
Dominic CanzoneDH
SEA@BAL· 2-for-3
1RFinal
Proj 0.5 R, #105
T14
Luis RengifoLF
MIL@ATH· 0-for-4
1RFinal
Proj 0.5 R, #110
T14
Taylor WallsSS
TBvsBOS· 0-for-3
1RFinal
Proj 0.5 R, #111
T14
Bryson Stott2B
PHI@TOR· 1-for-3
1RFinal
Proj 0.5 R, #113
T14
Steven KwanLF
CLEvsNYY· 0-for-4
1RFinal
Proj 0.5 R, #115
T14
Samad TaylorLF
SDvsCIN· 1-for-3
1RFinal
Proj 0.5 R, #119
T14
Coby Mayo3B
BALvsSEA· 0-for-3
1RFinal
Proj 0.5 R, #122
T14
David Hamilton3B
MIL@ATH· 0-for-2
1RFinal
Proj 0.5 R, #125
T14
Adolis GarcíaRF
PHI@TOR· 1-for-4
1RFinal
Proj 0.5 R, #130
T14
Patrick BaileyC
CLEvsNYY· 2-for-5
1RFinal
Proj 0.5 R, #132
T14
Freddy FerminC
SDvsCIN· 2-for-3
1RFinal
Proj 0.4 R, #133
T14
Blaze Alexander3B
BALvsSEA· 2-for-3
1RFinal
Proj 0.4 R, #135
T14
Jhonny PeredaC
SEA@BAL· 1-for-4
1RFinal
Proj 0.4 R, #136
T14
Ali SánchezC
NYY@CLE· 0-for-1
1RFinal
Proj 0.4 R, #142
T14
Jonah HeimC
ATHvsMIL· 1-for-1
1RFinal
Proj 0.5 R
T14
Colby ThomasRF
ATHvsMIL· 1-for-2
1RFinal
Proj 0.5 R
T14
Austin SlaterRF
TBvsBOS· 1-for-3
1RFinal
Proj 0.5 R
T14
Paul Goldschmidt1B
NYY@CLE· 1-for-4
1RFinal
Proj 0.5 R
T14
Max Muncy3B
ATHvsMIL· 1-for-5
1RFinal
Proj 0.5 R
T14
Jake Bauers1B
MIL@ATH· 2-for-4
1RFinal
Proj 0.5 R
T14
Trey Mancini1B
LAAvsHOU· 3-for-4
1RFinal
Proj 0.5 R
T14
Myles StrawCF
TORvsPHI· 1-for-2
1RFinal
Proj 0.5 R
T14
Marcelo Mayer2B
BOS@TB· 1-for-2
1RFinal
Proj 0.5 R
T14
Ryan McMahon3B
NYY@CLE· 1-for-2
1RFinal
Proj 0.5 R

Best MLB Runs Matchups — Monday, June 8, 2026

Zach Neto (LAA) is the top runs matchup on the Monday, June 8, 2026 board at 100, with Jeremy Peña (HOU) and Casey Schmitt (SF) 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: Zach Neto

Zach Neto (LAA) tops the board at 100, facing RHP Spencer Arrighetti. The righty is scoring at — R/PA against righties this year, a solid bat that turns into a run in about 12% of his trips. And Spencer Arrighetti has been thin against righties 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 owned Spencer Arrighetti too — .333 across 6 career trips. It all sets up in a neutral park, weather helping.

The rest of the top of the board

Jeremy Peña (HOU) (100) vs RHP Grayson Rodriguez: a solid bat at .117 into an arm with little track record against the same side.
Casey Schmitt (SF) (96) vs LHP Richard Lovelady: a solid bat at .117 into an arm with little track record against the same side, due to bounce back.
James Wood (WSH) (96) vs RHP Logan Webb: a solid bat at .117 into an arm with little track record against the same side.
Shea Langeliers (ATH) (96) vs LHP Kyle Harrison: a solid bat at .117 into an arm with little track record against the same side.
Christian Yelich (MIL) (96) vs LHP Jeffrey Springs: a solid bat at .117 into an arm with little track record against the same side.
Mike Trout (LAA) (91) vs RHP Spencer Arrighetti: a solid bat at .117 into an arm with little track record against the same side, due to bounce back.
Fernando Tatis Jr. (SD) (87) vs LHP Andrew Abbott: a solid bat at .117 into an arm with little track record against the same side.

How it played out

6 of the top 10 runs matchups landed at least one run. Top play Zach Neto finished with 1 run. 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 (Monday, June 8, 2026)?: Zach Neto (LAA) — top of the board at 100, facing RHP Spencer Arrighetti. A solid bat into a beatable arm is what pushes it to No. 1.
What are the best MLB runs matchups today (Monday, June 8, 2026)?: The top runs matchups on Monday, June 8, 2026: Zach Neto (100), Jeremy Peña (100), Casey Schmitt (96), James Wood (96), Shea Langeliers (96). The full board ranks every hitter in every game by runs upside.
Did the top runs matchup get a run on Monday, June 8, 2026?: Yes — Zach Neto got 1 run.
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.