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MLB NRFI & YRFI Picks Today: Park Context Beats Pitcher Names - Tuesday, April 21, 2026

NRFI Edge Finder

Where's the Edge?

Each dot is a game. Green = NRFI pick, red = YRFI pick. Dots inside the grey band are fairly priced. Dots outside have an edge.

Picks Today
55%
NRFI (11 games)
2026 Season
57.4%
NRFI to date
2025 Season
49.8%
NRFI full season
45%50%55%60%65%70%45%50%55%60%65%70%Market Implied NRFI %Model NRFI %NYY-BOSCWS-ARITOR-LAASTL-MIABAL-KCCIN-TBMIL-DETMIN-NYMPHI-CHCATH-SEALAD-SF

How to read this

Above the diagonal = the model is more bullish on NRFI than the market.

Below the diagonal = the market may be overpricing NRFI, which can create YRFI value.

The 50% lines are just context. The edge versus market matters more than crossing 50%.

NRFI pick
YRFI pick
Fair Odds zone

Edge Board

TOR@LAA
Model: 46.4% vs Market: 57.8%
YRFI+EV
CWS@ARI
Model: 47.1% vs Market: 57.8%
YRFI+EV
CIN@TB
Model: 68.2% vs Market: 59.2%
NRFI+EV
PHI@CHC
Model: 50.7% vs Market: 57.8%
NRFINo Edge
LAD@SF
Model: 55.1% vs Market: 61.7%
NRFINo Edge
STL@MIA
Model: 50.3% vs Market: 54.5%
YRFI+EV
MIL@DET
Model: 52.3% vs Market: 56.5%
NRFINo Edge
BAL@KC
Model: 53.5% vs Market: 56.5%
YRFIFair Odds
MIN@NYM
Model: 61.6% vs Market: 58.8%
NRFIFair Odds
ATH@SEA
Model: 55.9% vs Market: 57.1%
NRFIFair Odds
NYY@BOS
Model: 53.2% vs Market: 54.1%
YRFIFair Odds

Game Cards

Michelle's Pick: YRFIModel: Lean YRFI

Toronto Blue Jays at Los Angeles Angels

+EVOdds look generous for YRFI
MARKET
57.8%
Market
MODEL
46.4%
Model
EDGE
-11.4%
Diff
Park factor 103Full analysis →

Kochanowicz 5.79 BB/9; Corbin 4.66 ERA with control inconsistency.

Michelle's Pick: YRFIModel: Borderline

Chicago White Sox at Arizona Diamondbacks

+EVOdds look generous for YRFI
MARKET
57.8%
Market
MODEL
47.1%
Model
EDGE
-10.7%
Diff
Park factor 100Full analysis →

Burke allows 5.79 BB/9 in 2026; Arizona scores 4.5 R/G at home.

Michelle's Pick: NRFIModel: Strong NRFI

Cincinnati Reds at Tampa Bay Rays

+EVOdds look generous for NRFI
MARKET
59.2%
Market
MODEL
68.2%
Model
EDGE
+9.0%
Diff
Park factor 95Full analysis →

Burns 0 ER in last start; Matz 2.97 ERA, 0.96 runs Tropicana dome.

Michelle's Pick: NRFIModel: Borderline

Philadelphia Phillies at Chicago Cubs

No EdgeMarket is pricing NRFI shorter than our model
MARKET
57.8%
Market
MODEL
50.7%
Model
EDGE
-7.1%
Diff

Imanaga 0.773 WHIP, 2.45 ERA in 2026; PHI 2-8 vs LHP.

Michelle's Pick: NRFIModel: Lean NRFI

Los Angeles Dodgers at San Francisco Giants

No EdgeMarket is pricing NRFI shorter than our model
MARKET
61.7%
Market
MODEL
55.1%
Model
EDGE
-6.6%
Diff
Park factor 92Full analysis →

Yamamoto 2.10 ERA, 0.12 BB/IP; SF 3-7 at home. Oracle Park 0.93 runs factor.

Michelle's Pick: YRFIModel: Borderline

St. Louis Cardinals at Miami Marlins

+EVOdds look generous for YRFI
MARKET
54.5%
Market
MODEL
50.3%
Model
EDGE
-4.2%
Diff
Park factor 113Full analysis →

May 4.96 ERA, Paddack 5.35 ERA; market coin flip without first-inning split data.

Michelle's Pick: NRFIModel: Borderline

Milwaukee Brewers at Detroit Tigers

No EdgeMarket is pricing NRFI shorter than our model
MARKET
56.5%
Market
MODEL
52.3%
Model
EDGE
-4.2%
Diff
Park factor 104Full analysis →

Montero 1.1 BB/9 in 2026; Comerica 0.97 runs factor; under-leaning committee.

Michelle's Pick: YRFIModel: Lean NRFI

Baltimore Orioles at Kansas City Royals

Fair OddsMarket odds match our model
MARKET
56.5%
Market
MODEL
53.5%
Model
EDGE
-3.0%
Diff
Park factor 110Full analysis →

Baz 6+ hits in 3 of 4 starts; KC leadoff Garcia 1.167 OPS, Witt Jr. 1.133 OPS.

Michelle's Pick: NRFIModel: Strong NRFI

Minnesota Twins at New York Mets

Fair OddsMarket odds match our model
MARKET
58.8%
Market
MODEL
61.6%
Model
EDGE
+2.8%
Diff
Park factor 91Full analysis →

McLean 2.06 ERA, 10.6 K/9; MIN offense on 11-game losing streak.

Michelle's Pick: NRFIModel: Lean NRFI

Athletics at Seattle Mariners

Fair OddsMarket odds match our model
MARKET
57.1%
Market
MODEL
55.9%
Model
EDGE
-1.2%
Diff

Hancock 2.28 ERA, 9.5 K/9; A's 5th-highest strikeout rate. T-Mobile 0.95 runs factor.

Michelle's Pick: YRFIModel: Lean NRFI

New York Yankees at Boston Red Sox

Fair OddsMarket odds match our model
MARKET
54.1%
Market
MODEL
53.2%
Model
EDGE
-0.9%
Diff
Park factor 109Full analysis →

Gil walks 4.97 per 9 facing Judge (5 HR in 7 games) and Bellinger (8-game streak).

Analysis

The Frame of the Day

Tuesday is a study in market inefficiency. Houston, a team that scores in nine of every ten first innings this month, sits at -112 YRFI, implying the market thinks it's a coin flip. It isn't. When a lineup generates a 70.8% first-inning scoring rate across a full season and 90% in the last ten games, that's process, not luck. Cleveland is solid (37.5% first-inning rate), but combining both teams' baseline odds still leaves Houston with an 82% true probability of scoring first. Play it.

Houston at Cleveland: The Money Move

Ryan Weiss has been a disaster for two weeks. Against Colorado, 3.2 innings, 2 runs. Against Seattle, 2.1 innings, 2 runs. Against Colorado again, 2.2 innings, 6 runs. He's wild, he's hittable, and he's facing a Guardians lineup at Progressive Field (0.97 runs factor, neutral). Parker Messick has been terrific, 1.05 ERA over four starts, a 0.78 WHIP, but elite work in one inning doesn't override Houston's structural first-inning dominance. When one team scores in 90% of first innings and the other in 37.5%, the market's -112 is a gift.

The Fastball Guys

Three games lean hard into pitcher wildness and loaded offenses. Luis Gil (Yankees starter) throws 4.97 walks per nine against a Boston lineup that has Aaron Judge on a 5-home-run tear in seven games and Cody Bellinger riding an 8-game hitting streak. Fenway's 1.06 runs factor adds marginal elevation. Connelly Early is sharp (3.13 ERA), but Gil's control issues give you YRFI at -118. Sean Burke (White Sox) checks in at 5.79 BB/9 facing Arizona (4.5 R/G at home), and Jack Kochanowicz (Angels starter) matches that walk rate against Toronto. Both are YRFI plays at -137, modest edges in a chaotic first-inning environment. Patrick Corbin (Blue Jays, 4.66 ERA) faces Kochanowicz, same control profile. This is the theme of the day: wild arms meeting explosive lineups.

The Park Plays

San Diego at Colorado isn't really a pick, it's a statement. Coors Field runs at 1.25, the single most elevated park factor in baseball. The Rockies' starter is TBD, which means Colorado is either deploying a bullpen game or a spot starter of unknown pedigree. San Diego is 9-1 in their last ten. The game total sits at 11.0, and the committee leans over. YRFI at -156 is the percentage play; it's essentially betting that a first-inning run happens at Coors on a Tuesday, which is as close to a sure thing as this market gets.

The Soft Stuff Shutdowns

Shota Imanaga (Cubs) is elite right now: 0.773 WHIP, 2.45 ERA in 2026. Philadelphia is 2-8 against left-handers and riding a six-game losing streak. They can't hit soft stuff on the road. Nolan McLean (Mets) carries a 2.06 ERA with 10.6 strikeouts per nine; Minnesota's offense has collapsed (11-game losing streak, .200 team average). Emerson Hancock (Mariners) comes in at 2.28 ERA with elite command against an Athletics lineup that strikes out at the fifth-highest rate in baseball. These are your NRFI plays where pitching control meets weak or struggling lineups. Each checks in at -130 to -143, fair markets for dominance meeting dysfunction.

Keider Montero (Tigers) is a story in command: 1.1 walks per nine innings in 2026, near-elite control minimizing baserunners early. Comerica Park sits at 0.97, pitcher-friendly. Chase Burns (Reds) threw 6.0 shutout innings in his last start against San Francisco. Steven Matz (Rays) pitches in Tropicana Field (0.96 runs factor, a dome that suppresses scoring). All three NRFI plays at -130 to -145 align with the committee's under leans and both pitchers' form.

The Slate's Variance Plays

Atlanta at Washington sits at -112 YRFI with low confidence. Reynaldo López has been inconsistent (5.40 ERA, just 5.0 innings), and Foster Griffin has alternated strength with weakness. Washington ranks 3rd in runs per game league-wide (5.50 R/G), but López's volatility and Griffin's recent 3.05 ERA in one start make this a coin flip. St. Louis at Miami is similar: Dustin May (4.96 ERA) and Chris Paddack (5.35 ERA) are both elevated pitchers facing warm weather at loanDepot park. The market coin-flips at -120, and without first-inning splits, there's little edge. Baltimore at Kansas City is the only true contrarian lean: Shane Baz allows 6+ hits in three of four starts this month, and Kansas City's leadoff hitters (Garcia 1.167 OPS, Witt Jr. 1.133 OPS) have hit him hard in small samples. The Royals' offense is historically poor, but Baz's contact issues create YRFI risk at -130.

Finally, Los Angeles at San Francisco: Yoshinobu Yamamoto is 2.10 ERA with 0.12 walks per inning, elite. San Francisco scores 3.4 runs per game (9-13 record) and is 3-7 at home. Oracle Park sits at 0.93. NRFI at -161 (61.7% implied) reflects shared expectation, but Yamamoto's historic control and SF's offensive drought make this a structural NRFI play. The committee agrees, under lean suggests both teams leaving the frame scoreless.

Execution Note

First-inning props are high variance. A single 0-2 count that becomes a single shifts the entire frame. Park environment, pitcher command, and team baseline first-inning rates are your three levers. Trust context over names. Coors beats Clayton Kershaw. A wild starter beats a quiet road team. Process beats result, always.

Frequently Asked Questions

Stats Glossary

Understanding the statistics behind NRFI and YRFI picks helps you evaluate each matchup. Here is what each metric means and why it matters for first-inning betting.

FIP (Fielding Independent Pitching)
A pitching metric that isolates outcomes a pitcher directly controls: strikeouts, walks, hit-by-pitches, and home runs. Unlike ERA, FIP removes the influence of fielding and luck on batted balls. FIP is the single strongest predictor of first-inning scoring (r=0.31 year-to-year). A lower FIP indicates a more effective pitcher, making NRFI more likely.
K% (Strikeout Rate)
The percentage of plate appearances that end in a strikeout. Pitchers with higher K% generate more outs without the ball being put in play, reducing the chance of a first-inning run. League average is around 23.4% for qualified starters.
Barrel%
The percentage of batted balls classified as "barrels", batted at optimal exit velocity (95+ mph) and launch angle (26-30 degrees) for extra-base hits. Lower barrel rate means the pitcher prevents the most damaging type of contact. League average is approximately 10.2%.
xwOBA (Expected Weighted On-Base Average)
A Statcast metric that measures the quality of contact a pitcher allows, based on exit velocity and launch angle. Unlike batting average, xwOBA accounts for how hard the ball was hit regardless of the outcome. Lower xwOBA means the pitcher limits hard contact. League average is around .310.
1st Inning ERA
A pitcher's earned run average in the first inning specifically. While useful for context, 1st inning ERA has very low year-to-year correlation (r²=0.003), meaning it is mostly noise in small samples. Our model uses it as a minor signal alongside more predictive metrics like FIP and K%.
NRFI Rate
The percentage of a pitcher's starts where no runs scored in the first inning. Calculated from linescore data across multiple seasons. A higher NRFI rate suggests the pitcher consistently keeps the first inning clean. Displayed alongside the number of game starts (GS) for sample size context.
MIX/RISK (Pitch Mix & Top-Order Risk)
A combined indicator showing a pitcher's arsenal depth (number of distinct pitch types thrown regularly) and the opposing lineup's top-of-order threat level. More pitch types make a pitcher harder to predict in early at-bats. Higher top-order risk means the first three batters pose a greater scoring threat.
Park Factor
A multiplier that measures how a ballpark affects run scoring compared to the league average. A park factor above 1.00 (e.g., Coors Field at ~1.35) means more runs are expected. Below 1.00 favors pitchers. Our model applies park factor as a multiplicative adjustment to the base NRFI probability.
Model %
Our model's estimated probability that no runs will score in the first inning. Calculated using a research-backed weighted formula that combines pitcher FIP, strikeout rate, barrel rate, xwOBA, pitch mix, recent form, NRFI rate history, and top-order lineup risk, with a park factor adjustment.
Market %
The implied NRFI probability derived from consensus sportsbook odds. Calculated by converting American odds to implied probability. Comparing our model's probability to the market price reveals whether a bet offers positive expected value.
Edge
The difference between our model's NRFI probability and the market-implied probability. A positive edge (e.g., +3.2%) means our model sees NRFI as more likely than the market suggests, indicating potential value on an NRFI bet. A negative edge suggests YRFI value.
Confidence Score
A 0-100 rating reflecting how reliable our model's prediction is for a given game. Factors in data completeness (50% weight, are all stats available?), edge magnitude (30%, is the edge large enough to overcome vig?), and sample size (20%, how many starts does each pitcher have?). Higher scores indicate more conviction.