Who has the best rbis 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 rbis matchups today (Monday, June 8, 2026)?

The top rbis 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 rbis upside.

How is the rbis matchup score calculated?

His rate of driving runs in against that hand comes first, weighted to recent form. Then the piece that's unique to this board: who bats in front of him and how often they're on base when he comes up. The bullpen, park and weather finish it. 0–100 across the slate.

What does RBI/PA mean?

It's the share of a hitter's trips to the plate that drive in a run. Around .105 is league average. RBIs lean on lineup spot and who's on base ahead of you, so we weigh the matchup but it's a noisier market than hits.

What does the score actually mean?

Higher is better. RBI is the most situation-dependent number on the site — a great bat batting eighth behind three automatic outs will grade below a lesser bat hitting fourth. That's the board working, not a bug.

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 RBI.

What is a platoon split (handedness split)?

The handedness gap matters here, but so does what's happening in front of him. A hitter's rate against the hand he's facing sets the baseline; the guys on base ahead of him decide whether it turns into a run driven in.

What are park factors?

Parks move RBI through the hits that produce them. A yard where balls fall in and fly out keeps innings alive and puts more men on for the middle of the order. 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 RBI 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 rbis 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+ RBI" 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. RBI is noisier than the contact boards because it depends on traffic ahead of him, so judge this one over a longer run — the season hit rate is on the board and every past date is auditable.

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 RBIs matchups — Monday, June 8, 2026

Every hitter on the Monday, June 8, 2026 slate — ranked by the best RBI matchups — who's set up to drive in runs. Results show how each call played out.

How the model did — Monday, June 8, 2026

Our top 5 hitters went 2/5 (40%) on 1+ RBI, against 32% on the season.

Top 5

2/540%

season 32%

Top 10

3/1030%

season 31%

Full slate

39/14427%

season 28%

Top call Zach Neto came through. Jeremy Peña 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

50 with a RBILive count — updates as games play

1
Josh Naylor1B
SEA@BAL· 2-for-4
4RBIFinal
Proj 0.5 RBI, #62
T1
Andrew Vaughn1B
MIL@ATH· 4-for-6
4RBIFinal
Proj 0.4 RBI, #83
T1
Tyler SoderstromLF
ATHvsMIL· 3-for-4
4RBIFinal
Proj 0.4 RBI, #84
4
Nick Kurtz1B
ATHvsMIL· 3-for-6
3RBIFinal
Proj 0.5 RBI, #13
T4
Brice Turang2B
MIL@ATH· 1-for-6
3RBIFinal
Proj 0.5 RBI, #28
T4
William ContrerasC
MIL@ATH· 3-for-6
3RBIFinal
Proj 0.5 RBI, #44
T4
Samad TaylorLF
SDvsCIN· 1-for-3
3RBIFinal
Proj 0.4 RBI, #119
T4
Paul Goldschmidt1B
NYY@CLE· 1-for-4
3RBIFinal
Proj 0.5 RBI
T4
Jake Bauers1B
MIL@ATH· 2-for-4
3RBIFinal
Proj 0.5 RBI
10
Shea LangeliersC
ATHvsMIL· 3-for-7
2RBIFinal
Proj 0.5 RBI, #5
T10
Yandy DíazDH
TBvsBOS· 1-for-3
2RBIFinal
Proj 0.5 RBI, #14
T10
CJ AbramsSS
WSH@SF· 2-for-4
2RBIFinal
Proj 0.5 RBI, #42
T10
Cody BellingerLF
NYY@CLE· 2-for-5
2RBIFinal
Proj 0.5 RBI, #67
T10
Angel MartínezLF
CLEvsNYY· 1-for-4
2RBIFinal
Proj 0.4 RBI, #98
T10
Logan O'HoppeC
LAAvsHOU· 1-for-4
2RBIFinal
Proj 0.4 RBI, #117
T10
Adolis GarcíaRF
PHI@TOR· 1-for-4
2RBIFinal
Proj 0.4 RBI, #130
T10
Freddy FerminC
SDvsCIN· 2-for-3
2RBIFinal
Proj 0.4 RBI, #133
T10
Christian Walker1B
HOU@LAA· 2-for-4
2RBIFinal
Proj 0.5 RBI
T10
Max Muncy3B
ATHvsMIL· 1-for-5
2RBIFinal
Proj 0.5 RBI
20
Zach NetoSS
LAAvsHOU· 1-for-4
1RBIFinal
Proj 0.5 RBI, #1
T20
Luis García Jr.1B
WSH@SF· 2-for-4
1RBIFinal
Proj 0.5 RBI, #10
T20
Jackson ChourioLF
MIL@ATH· 3-for-5
1RBIFinal
Proj 0.5 RBI, #12
T20
Sal Stewart1B
CIN@SD· 1-for-3
1RBIFinal
Proj 0.5 RBI, #40
T20
Pete Alonso1B
BALvsSEA· 0-for-4
1RBIFinal
Proj 0.5 RBI, #61
T20
Randy ArozarenaLF
SEA@BAL· 3-for-4
1RBIFinal
Proj 0.4 RBI, #74
T20
Jonathan Aranda1B
TBvsBOS· 1-for-4
1RBIFinal
Proj 0.4 RBI, #75
T20
Ernie Clement2B
TORvsPHI· 2-for-4
1RBIFinal
Proj 0.4 RBI, #77
T20
Alec Bohm3B
PHI@TOR· 1-for-3
1RBIFinal
Proj 0.4 RBI, #78
T20
Bryce EldridgeDH
SFvsWSH· 2-for-5
1RBIFinal
Proj 0.4 RBI, #82
T20
Cam SmithRF
HOU@LAA· 2-for-5
1RBIFinal
Proj 0.4 RBI, #87
T20
Gavin Sheets1B
SDvsCIN· 1-for-4
1RBIFinal
Proj 0.4 RBI, #88
T20
Matt Chapman3B
SFvsWSH· 2-for-3
1RBIFinal
Proj 0.4 RBI, #91
T20
J.T. RealmutoC
PHI@TOR· 1-for-4
1RBIFinal
Proj 0.4 RBI, #96
T20
Jake MeyersCF
HOU@LAA· 0-for-2
1RBIFinal
Proj 0.4 RBI, #102
T20
Zack Gelof3B
ATHvsMIL· 2-for-6
1RBIFinal
Proj 0.4 RBI, #109
T20
Bryson Stott2B
PHI@TOR· 1-for-3
1RBIFinal
Proj 0.4 RBI, #113
T20
Jonah CoxCF
SFvsWSH· 0-for-1
1RBIFinal
Proj 0.4 RBI, #123
T20
Alika WilliamsSS
ATHvsMIL· 1-for-5
1RBIFinal
Proj 0.4 RBI, #126
T20
Edwin Arroyo2B
CIN@SD· 1-for-3
1RBIFinal
Proj 0.4 RBI, #134
T20
Blaze Alexander3B
BALvsSEA· 2-for-3
1RBIFinal
Proj 0.4 RBI, #135
T20
Yohendrick PiñangoLF
TORvsPHI· 1-for-2
1RBIFinal
Proj 0.4 RBI, #139
T20
Brayan RocchioSS
CLEvsNYY· 2-for-4
1RBIFinal
Proj 0.4 RBI, #141
T20
Ryan Bliss2B
SEA@BAL· 0-for-2
1RBIFinal
Proj 0.4 RBI, #144
T20
Jonah HeimC
ATHvsMIL· 1-for-1
1RBIFinal
Proj 0.5 RBI
T20
Kyle Manzardo1B
CLEvsNYY· 1-for-1
1RBIFinal
Proj 0.5 RBI
T20
Daylen LileLF
WSH@SF· 1-for-4
1RBIFinal
Proj 0.4 RBI
T20
LaMonte Wade Jr.LF
HOU@LAA· 1-for-2
1RBIFinal
Proj 0.4 RBI
T20
Trey Mancini1B
LAAvsHOU· 3-for-4
1RBIFinal
Proj 0.4 RBI
T20
Marcelo Mayer2B
BOS@TB· 1-for-2
1RBIFinal
Proj 0.4 RBI
T20
Ryan McMahon3B
NYY@CLE· 1-for-2
1RBIFinal
Proj 0.4 RBI

Best MLB RBIs Matchups — Monday, June 8, 2026

Zach Neto (LAA) is the top rbis 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 the best RBI matchups — who's set up to drive in runs — run-producing bats, the arm and bullpen they face, batting order, park, and weather. It's the read DFS and prop players make before lock.

Top rbis spot: Zach Neto

Zach Neto (LAA) tops the board at 100, facing RHP Spencer Arrighetti. The righty is driving in runs at — RBI/PA against righties this year, a solid bat that turns into a RBI in about 11% 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 .105 into an arm with little track record against the same side.
Casey Schmitt (SF) (96) vs LHP Richard Lovelady: a solid bat at .105 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 .105 into an arm with little track record against the same side.
Shea Langeliers (ATH) (96) vs LHP Kyle Harrison: a solid bat at .105 into an arm with little track record against the same side.
Christian Yelich (MIL) (96) vs LHP Jeffrey Springs: a solid bat at .105 into an arm with little track record against the same side.
Mike Trout (LAA) (91) vs RHP Spencer Arrighetti: a solid bat at .105 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 .105 into an arm with little track record against the same side.

How it played out

3 of the top 10 rbis matchups landed at least one RBI. Top play Zach Neto finished with 1 RBI. 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 rbis matchups

Each score (0–100) starts with the hitter's RBIs 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 RBIs board is

The RBIs board projects the chance a hitter drives in a run, given his slot and the bats around him. 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 run-driving rate.
How often the hitters ahead of him are on base.
The arm he faces and the park.

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?

RBIs is lumpy — runs cluster — and once you price the 1+ line with a clustering-aware model instead of a naive one, the apparent edge vanishes. It grades efficient. So this is a transparency board.

How to use it

Good for spotting the cleanup-spot smash setups; not a market we've found a bettable edge in.

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 rbis 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 rbis matchups today (Monday, June 8, 2026)?: The top rbis 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 rbis upside.
Did the top rbis matchup get a RBI on Monday, June 8, 2026?: Yes — Zach Neto got 1 RBI.
How is the rbis matchup score calculated?: His rate of driving runs in against that hand comes first, weighted to recent form. Then the piece that's unique to this board: who bats in front of him and how often they're on base when he comes up. The bullpen, park and weather finish it. 0–100 across the slate.
What does RBI/PA mean?: It's the share of a hitter's trips to the plate that drive in a run. Around .105 is league average. RBIs lean on lineup spot and who's on base ahead of you, so we weigh the matchup but it's a noisier market than hits.
What does the score actually mean?: Higher is better. RBI is the most situation-dependent number on the site — a great bat batting eighth behind three automatic outs will grade below a lesser bat hitting fourth. That's the board working, not a bug.
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 RBI.
What is a platoon split (handedness split)?: The handedness gap matters here, but so does what's happening in front of him. A hitter's rate against the hand he's facing sets the baseline; the guys on base ahead of him decide whether it turns into a run driven in.
What are park factors?: Parks move RBI through the hits that produce them. A yard where balls fall in and fly out keeps innings alive and puts more men on for the middle of the order. 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 RBI 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 rbis 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+ RBI" 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. RBI is noisier than the contact boards because it depends on traffic ahead of him, so judge this one over a longer run — the season hit rate is on the board and every past date is auditable.
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.