Andrew's Musings

MLB: What to watch on May 30, 2026

Here are today's MLB games, ordered by watchability, based on how interesting the teams and starting pitchers look. Higher is better. For more information, read this post.

Notes:

Detail

Philadelphia Phillies @ Los Angeles Dodgers, 7:10p

Summary

This is a bona fide must-watch on paper: Luzardo’s elite stuff (high pNERD, low xFIP-) against a rising, high-ceiling Roki Sasaki, and the matchup gets a boost from two strong lineups — the NERD math loves it (gNERD 17.70). Luzardo’s profile here is the core reason: his pNERD is sky-high thanks to a 68 xFIP- and above-average velocity and strikeout indicators, and he’s had success specifically versus Los Angeles recently. Sasaki’s numbers and age make him less flashy in the pNERD column, but he’s a developing ace with some dominant recent outings (including a strong showing against the Angels) that make him interesting to watch even if the matchup tilts toward Luzardo on paper. The Dodgers’ offense and fielding are adding a lot of tNERD juice here, and they’re riding a home winning streak that raises the stakes. Probables and local previews list Luzardo vs. Sasaki as today’s starters. In short: expect high-quality stuff, a real contrast in pitcher profiles, and lively offense — this is top-tier watchability by both NERD and storyline.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4.)

Recommended broadcasts: TV, Philadelphia Phillies (2.92); radio, Philadelphia Phillies (2.69)

Philadelphia Phillies

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -27.4 7.6% 4.1 -0.4 23.4 $309.8M 30.5 -4.0 2.92 2.69
Z-score -1.15 -0.35 1.39 -0.11 1.03 1.22 1.36 -0.30 1.03 0.64
tNERD -1.15 -0.35 1.39 -0.11 1.03 0.00 0.00 0.00 0.52 0.32 4.00 5.64

Los Angeles Dodgers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 57.1 10.1% -2.1 17.2 27.6 $413.5M 30.0 6.0 2.45 2.51
Z-score 2.47 1.48 -0.88 1.77 1.36 2.41 0.90 0.46 0.12 0.26
tNERD 2.47 1.48 -0.88 1.77 1.36 0.00 0.00 0.46 0.06 0.13 4.00 10.84

Jesús Luzardo, Philadelphia Phillies

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 68 14.1% 63.7% 96.8 mph 28 17.3s 39 0.0%
Z-score -1.72 1.50 -0.00 nan -0.23 -1.33
pNERD 3.44 0.75 -0.00 2.00 0.23 0.67 1.00 0.00 3.80 11.89

Roki Sasaki, Los Angeles Dodgers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 107 12.1% 63.3% 97.0 mph 24 19.2s 16 0.0%
Z-score 0.47 0.63 -0.17 nan -1.28 0.26
pNERD -0.95 0.31 -0.08 2.00 1.28 -0.13 0.80 0.00 3.80 7.03

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New York Yankees @ Athletics, 7:05p

Summary

This one rates as must-consider TV: a high gNERD (15.65) driven by a Yankees offense that actually barrels the ball and a tantalizing lefty starter in Ryan Weathers, versus an Athletics club whose huge positive “luck” suggests volatility and comeback potential. Ryan Weathers’ sky-high pNERD is real—his velo and underlying strikeout profile make him the more watchable arm tonight, and he’s listed as the Yankees’ starter after another strong stretch this month. Ginn’s pNERD is middling-by-comparison: he’s been effective enough this season but shows the command/walk flashes that could let New York’s big-barrel attack do damage. The Yankees trotted out a multi-homer, punchy lineup in the series opener and arrive with clear offensive momentum, which amplifies the game’s entertainment value. Taken together—high team NERD for New York, Weathers’ convincing pNERD, and Oakland’s +luck implying possible positive regression—this is a watchable matchup: expect swingy innings, a higher run environment than a typical pitching duel, and plenty of betting/streaming angles.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, New York Yankees (2.08); radio, New York Yankees (2.22)

New York Yankees

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 45.4 11.0% 1.1 5.6 16.0 $337.1M 29.9 5.0 2.08 2.22
Z-score 1.97 2.14 0.29 0.53 0.46 1.54 0.85 0.38 -0.61 -0.36
tNERD 1.97 2.14 0.29 0.53 0.46 0.00 0.00 0.38 0.00 0.00 4.00 9.77

Athletics

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -0.9 8.1% -1.4 -5.6 10.8 $135.2M 28.2 23.0 1.27 1.94
Z-score -0.02 0.01 -0.63 -0.67 0.06 -0.77 -0.71 1.74 -2.19 -0.95
tNERD -0.02 0.01 -0.63 -0.67 0.06 0.77 0.71 1.74 0.00 0.00 4.00 5.99

Ryan Weathers, New York Yankees

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 74 10.9% 64.8% 95.0 mph 26 18.9s 3 0.0%
Z-score -1.38 0.11 0.43 nan -0.76 0.01
pNERD 2.77 0.05 0.22 2.00 0.76 -0.01 0.15 0.00 3.80 9.74

J.T. Ginn, Athletics

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 97 10.5% 61.8% 94.3 mph 27 19.5s -21 0.0%
Z-score -0.09 -0.07 -0.77 nan -0.49 0.51
pNERD 0.18 -0.03 -0.39 2.00 0.49 -0.26 0.00 0.00 3.80 5.79

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Chicago Cubs @ St. Louis Cardinals, 4:15p

Summary

This shapes up as one of the day's better bets for entertainment: a 15.51 gNERD puts the game well above typical levels (into the upper tail historically), thanks to an exciting front-line arm and two teams with above-average tNERD. Ben Brown is the obvious draw — his pNERD is high because he’s been missing bats and limiting damage since joining the rotation (roughly 23 strikeouts in 19 innings with a sub‑2.10 ERA profile), and Statcast shows a mid‑96s heater that pairs with a newly tweaked repertoire and higher groundball tendencies.

Kyle Leahy profiles as the foil: a competent, contact‑oriented veteran with decent recent results but much less swing‑and‑miss, so expect a game where Brown’s spike in Ks could contrast with Leahy forcing more balls in play (his recent quality start vs. Milwaukee is a reminder he can hand the Cards length).

The Cubs’ strong fielding and local broadcast profile raise the tNERD, while the Cardinals’ younger, cheaper roster still grades respectably — together they push the game’s watchability higher than most on the slate. If you favor strikeouts and an ace‑like breakout, prioritize this one; if you prefer low‑variance contact games, flip a coin.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)

Recommended broadcasts: TV, Chicago Cubs (3.01); radio, Chicago Cubs (3.15)

Chicago Cubs

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 22.9 8.0% 0.8 20.9 0.6 $246.2M 29.8 4.0 3.01 3.15
Z-score 1.00 -0.06 0.18 2.17 -0.72 0.50 0.67 0.31 1.22 1.62
tNERD 1.00 -0.06 0.18 2.17 -0.72 0.00 0.00 0.31 0.61 0.81 4.00 8.30

St. Louis Cardinals

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 4.1 7.7% 1.3 8.9 -0.2 $111.2M 26.9 1.0 2.17 2.15
Z-score 0.20 -0.28 0.36 0.88 -0.78 -1.05 -1.94 0.08 -0.43 -0.50
tNERD 0.20 -0.28 0.36 0.88 -0.78 1.05 1.94 0.08 0.00 0.00 4.00 7.46

Ben Brown, Chicago Cubs

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 73 12.3% 64.8% 96.7 mph 26 19.5s -22 0.0%
Z-score -1.44 0.72 0.46 nan -0.76 0.51
pNERD 2.88 0.36 0.23 2.00 0.76 -0.26 0.00 0.00 3.80 9.77

Kyle Leahy, St. Louis Cardinals

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 104 9.0% 61.1% 93.8 mph 29 17.1s 9 0.0%
Z-score 0.31 -0.72 -1.06 nan 0.03 -1.50
pNERD -0.61 -0.36 -0.53 2.00 0.00 0.75 0.45 0.00 3.80 5.50

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San Diego Padres @ Washington Nationals, 1:05p

Summary

High-watchability: this is a pitchers-meet-power lineup game with both clubs rated above normal for team talent and two mid-60s pNERD arms who profile as competent, attack-minded starters — exact kind of matchup that produces action. Michael King has been one of San Diego’s steadier options this year and draws a Nationals staff ace-in-name matchup with Foster Griffin, who’s emerged as a reliable swing‑rotation piece after his return from Japan.

The numbers back the eyeball: a gNERD of 15.05 sits well above both the historical median and today’s average, driven by strong tNERD marks for San Diego (9.35) and Washington (8.13) — Padres fielding and broadcaster signal strength and the Nats’ batting and baserunning are big contributors, while San Diego’s bullpen surprisingly nudges the game’s watchability upward in the model. King and Griffin post similar pNERD profiles (6.07/6.55) with league‑average xFIP‑ and below‑average swing‑and‑miss, so expect contact but not meek contact; velocity and pace add a little extra intrigue. Recent injuries have thinned San Diego’s depth, which magnifies each starter’s importance and makes bullpen usage a storyline to watch.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)

Recommended broadcasts: TV, San Diego Padres (3.47); radio, San Diego Padres (3.37)

San Diego Padres

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -27.4 8.5% 2.5 13.1 35.4 $255.5M 29.9 -22.0 3.47 3.37
Z-score -1.15 0.31 0.80 1.33 1.96 0.60 0.85 -1.66 2.12 2.09
tNERD -1.15 0.31 0.80 1.33 1.96 0.00 0.00 0.00 1.06 1.04 4.00 9.35

Washington Nationals

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 25.7 8.9% 4.6 -3.1 -9.4 $114.5M 27.1 -24.0 2.00 2.20
Z-score 1.12 0.60 1.57 -0.40 -1.49 -1.01 -1.71 -1.81 -0.75 -0.40
tNERD 1.12 0.60 1.57 -0.40 -1.49 1.01 1.71 0.00 0.00 0.00 4.00 8.13

Michael King, San Diego Padres

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 95 11.5% 61.6% 93.3 mph 31 18.6s -24 0.0%
Z-score -0.20 0.37 -0.88 nan 0.56 -0.24
pNERD 0.40 0.18 -0.44 2.00 0.00 0.12 0.00 0.00 3.80 6.07

Foster Griffin, Washington Nationals

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 93 9.6% 64.6% 91.3 mph 30 18.5s -3 0.0%
Z-score -0.31 -0.46 0.38 nan 0.29 -0.33
pNERD 0.63 -0.23 0.19 2.00 0.00 0.16 0.00 0.00 3.80 6.55

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Boston Red Sox @ Cleveland Guardians, 1:10p

Summary

Watch this if you like a chess match disguised as a pitchers’ duel: Parker Messick’s heavy pNERD and sub-80 xFIP- make him the real draw, while Sonny Gray’s veteran steadiness and recent return from the IL keep the game competitive. Messick’s 10.50 pNERD (xFIP- ~75, tidy strike and pace profile) suggests he’ll suppress damage and force the Red Sox into scarce, stressful at-bats; he’s come in riding several quality outings this month. Gray’s lower but respectable 4.94 pNERD reflects a reliable veteran who was just reinstated from the 15-day IL and can still rack innings and soft contact, which keeps Boston in any low-scoring tussle. The teams’ tNERDs (~7.25 each) show above-average defenses and bullpens that could tilt a close game into an edge-of-your-seat finish; Boston’s fielding and Boston/Cleveland bullpen profiles are particularly notable in the NERD components. Given a gNERD of 14.98—well above both today’s mean and the historical upper quartile—this is a high-priority watch for fans who prefer pitching, situational at-bats, and the occasional bullpen drama.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)

Recommended broadcasts: TV, Boston Red Sox (2.47); radio, Cleveland Guardians (3.14)

Boston Red Sox

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -20.8 7.2% 2.1 16.7 15.4 $263.6M 29.2 21.0 2.47 2.64
Z-score -0.87 -0.64 0.66 1.72 0.42 0.70 0.17 1.59 0.16 0.54
tNERD -0.87 -0.64 0.66 1.72 0.42 0.00 0.00 1.59 0.08 0.27 4.00 7.22

Cleveland Guardians

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -5.7 6.3% -0.2 4.1 21.4 $88.9M 27.6 4.0 2.16 3.14
Z-score -0.22 -1.30 -0.19 0.37 0.88 -1.30 -1.35 0.31 -0.44 1.60
tNERD -0.22 -1.30 -0.19 0.37 0.88 1.30 1.35 0.31 0.00 0.80 4.00 7.29

Sonny Gray, Boston Red Sox

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 93 8.8% 62.8% 92.0 mph 36 21.0s -16 0.0%
Z-score -0.31 -0.81 -0.39 nan 1.87 1.77
pNERD 0.63 -0.40 -0.19 2.00 0.00 -0.89 0.00 0.00 3.80 4.94

Parker Messick, Cleveland Guardians

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 75 11.7% 63.3% 93.1 mph 25 16.8s -20 0.0%
Z-score -1.33 0.45 -0.15 nan -1.02 -1.75
pNERD 2.65 0.23 -0.08 2.00 1.02 0.88 0.00 0.00 3.80 10.50

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Atlanta Braves @ Cincinnati Reds, 4:15p

Summary

Good pick if you want a pitcher-versus-lineup duel more than a slugfest: Atlanta’s roster advantages and Martín Pérez’s steady profile make this a tidy, watchable game, even if it lacks guaranteed fireworks. gNERD 12.67 sits above both the historic mean and today’s average, driven more by team strength than by runaway starting-pitcher theatrics. Pérez has been the steadier arm (listed 2–3, 2.70) and his pNERD reflects decent underlying stuff and workmanlike velocity. Singer’s surface numbers look ugly (about 2–4, 6.26), but his large positive “luck” component suggests he’s been underperforming his peripherals — so don’t write him off entirely. The Braves’ high tNERD is driven by strong batting runs, barrels and defense, while the Reds’ wilder barrel profile and notably shaky bullpen make for interesting late-inning leverage plays. In short: expect an above-average, analytically pleasing game where lineup depth and matchup splits matter more than blindingly dominant pitching.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, Atlanta Braves (2.36); radio, Atlanta Braves (2.36)

Atlanta Braves

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 33.1 9.8% 0.4 10.7 18.9 $249.8M 30.5 -17.0 2.36 2.36
Z-score 1.44 1.26 0.03 1.07 0.69 0.54 1.36 -1.28 -0.05 -0.06
tNERD 1.44 1.26 0.03 1.07 0.69 0.00 0.00 0.00 0.00 0.00 4.00 8.50

Cincinnati Reds

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -10.2 10.4% -0.6 1.8 -12.5 $147.4M 28.0 1.0 2.09 2.11
Z-score -0.41 1.70 -0.33 0.12 -1.73 -0.63 -0.94 0.08 -0.59 -0.59
tNERD -0.41 1.70 -0.33 0.12 -1.73 0.63 0.94 0.08 0.00 0.00 4.00 5.00

Martín Pérez, Atlanta Braves

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 94 8.8% 63.4% 90.0 mph 35 18.2s -27 0.0%
Z-score -0.26 -0.81 -0.12 nan 1.61 -0.58
pNERD 0.52 -0.40 -0.06 2.00 0.00 0.29 0.00 0.00 3.80 6.14

Brady Singer, Cincinnati Reds

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 111 9.0% 62.7% 91.1 mph 29 16.8s 37 0.0%
Z-score 0.70 -0.72 -0.42 nan 0.03 -1.75
pNERD -1.40 -0.36 -0.21 2.00 0.00 0.88 1.00 0.00 3.80 5.71

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Los Angeles Angels @ Tampa Bay Rays, 1:10p

Summary

Pitching is the show: two high pNERD arms — Reid Detmers coming off a 14‑K near‑perfect outing and the reliably steady Drew Rasmussen — lift an otherwise low‑tNERD matchup into watchable territory. The gNERD (10.95) leans on those pitchers: average pNERD (9.40) is well above today’s pitching mean, so expect quality command, chase‑and‑miss stuff, and a game decided by a single big inning rather than offensive fireworks. Detmers’ March‑toward‑consistency was on full display in an eight‑inning, career‑high 14‑strikeout performance on May 24, which explains his jump in pNERD and strikeout upside. Rasmussen has been a calmly effective counter this season (a tidy 4‑1, sub‑3.00 ERA in the early sample), making him a tough home starter and a reason oddsmakers favor Tampa Bay. The catch: both lineups have low tNERD components — the Angels’ baserunning, fielding and bullpen drag the game’s entertainment score down, and the Rays’ offense shows less batted‑ball juice than you’d like — so tune in for pitcher duel nuance rather than a slugfest.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)

Recommended broadcasts: TV, Los Angeles Angels (2.59); radio, Tampa Bay Rays (2.10)

Los Angeles Angels

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -11.7 9.1% -5.3 -15.0 -10.0 $191.6M 28.6 6.0 2.59 2.01
Z-score -0.48 0.75 -2.05 -1.68 -1.53 -0.13 -0.39 0.46 0.40 -0.80
tNERD -0.48 0.75 -2.05 -1.68 -1.53 0.13 0.39 0.46 0.20 0.00 4.00 0.17

Tampa Bay Rays

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 11.4 5.1% 2.6 -7.5 2.7 $106.9M 29.1 1.0 2.27 2.10
Z-score 0.51 -2.18 0.84 -0.87 -0.56 -1.10 0.07 0.08 -0.23 -0.61
tNERD 0.51 -2.18 0.84 -0.87 -0.56 1.10 0.00 0.08 0.00 0.00 4.00 2.92

Reid Detmers, Los Angeles Angels

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 83 12.8% 65.3% 94.0 mph 26 19.0s 27 0.0%
Z-score -0.88 0.93 0.65 nan -0.76 0.09
pNERD 1.75 0.47 0.33 2.00 0.76 -0.05 1.00 0.00 3.80 10.06

Drew Rasmussen, Tampa Bay Rays

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 75 10.5% 64.9% 95.9 mph 30 18.7s -8 0.0%
Z-score -1.33 -0.07 0.49 nan 0.29 -0.16
pNERD 2.65 -0.03 0.25 2.00 0.00 0.08 0.00 0.00 3.80 8.75

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Miami Marlins @ New York Mets, 1:10p

Summary

Worth a peek, not a must-watch: this game sits near league-average watchability (gNERD 10.94), buoyed by a sprightly Marlins lineup and a lively Tyler Phillips, but neither starter—or the Mets’ porous offense—promises fireworks. Tyler Phillips has jumped into a starting role after relief work and carries eye-popping velocity and a tiny ERA that projection systems flag as unsustainably lucky, so expect swing-and-miss stuff early but limited length. The Marlins’ tNERD is the stronger half of this game (6.93), driven by elite baserunning and a young, cheap roster that makes for an active, unpredictable offense; their bullpen also contributes positively. The Mets’ tNERD (4.67) is dragged down by a brutal run-scoring profile despite decent barrel rates and strong local interest in the broadcast. Christian Scott is a competent, contact-missing starter (solid K:BB and FIP), but his pNERD is a touch below Phillips’ and neither arm projects to go deep, so this looks like a bullpen-driven finish more than a pitching duel. Overall: entertaining if you like baserunning/tempo and bullpen chess; skip if you want sustained starting-pitching dominance.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)

Recommended broadcasts: TV, New York Mets (3.32); radio, New York Mets (3.05)

Miami Marlins

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -6.4 6.1% 5.5 -5.5 16.7 $81.5M 27.4 -1.0 1.79 1.66
Z-score -0.25 -1.45 1.90 -0.66 0.52 -1.39 -1.49 -0.07 -1.17 -1.54
tNERD -0.25 -1.45 1.90 -0.66 0.52 1.39 1.49 0.00 0.00 0.00 4.00 6.93

New York Mets

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -36.3 9.0% -1.4 -3.6 22.9 $374.9M 29.9 -23.0 3.32 3.05
Z-score -1.53 0.67 -0.63 -0.46 1.00 1.97 0.85 -1.73 1.82 1.41
tNERD -1.53 0.67 -0.63 -0.46 1.00 0.00 0.00 0.00 0.91 0.70 4.00 4.67

Tyler Phillips, Miami Marlins

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 106 13.3% 63.7% 96.2 mph 28 19.0s -80 0.0%
Z-score 0.42 1.15 -0.02 nan -0.23 0.09
pNERD -0.84 0.58 -0.01 2.00 0.23 -0.05 0.00 0.00 3.80 5.71

Christian Scott, New York Mets

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 106 9.9% 62.4% 95.5 mph 27 20.0s -24 0.0%
Z-score 0.42 -0.33 -0.53 nan -0.49 0.93
pNERD -0.84 -0.16 -0.27 2.00 0.49 -0.47 0.00 0.00 3.80 4.56

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Milwaukee Brewers @ Houston Astros, 1:10p

Summary

Middling-but-interesting: this one’s not must-see TV, but it’s worth tuning into if you like a clash between a flamethrowing, unlucky young Brewer and a steady, contact-friendly Astros staff with a juiced offense. Brandon Sproat’s velo spike and recent seven‑K outing suggest bounce-back upside — and his pNERD (6.18) leans on that raw stuff and big “luck” number — while Peter Lambert profiles as the steadier, lower‑variance option (pNERD 5.20) against an Astros lineup that’s been heating up.

The game gNERD (10.66) sits just above the long‑run mean but below today’s slate average, so expect moderate entertainment rather than fireworks; Milwaukee’s tNERD (6.05) is propped up by an unusually effective bullpen and a young, energetic roster, while Houston’s lower tNERD (3.88) masks a strong offense and a meaningful positive team “luck” (you should expect some regression upward).

Bottom line: pick this if you like pitcher‑batter contrasts and the potential for Sproat to turn bad peripherals into a surprise quality start; don’t expect a classic on paper.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, Milwaukee Brewers (2.66); radio, Milwaukee Brewers (2.56)

Milwaukee Brewers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -2.1 6.8% 0.7 -6.0 26.1 $139.3M 27.7 -28.0 2.66 2.56
Z-score -0.07 -0.94 0.14 -0.71 1.24 -0.73 -1.21 -2.11 0.53 0.37
tNERD -0.07 -0.94 0.14 -0.71 1.24 0.73 1.21 0.00 0.27 0.18 4.00 6.05

Houston Astros

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 14.4 8.8% -1.0 1.5 -14.6 $232.7M 28.9 11.0 2.17 1.99
Z-score 0.64 0.53 -0.48 0.09 -1.89 0.34 -0.16 0.84 -0.42 -0.84
tNERD 0.64 0.53 -0.48 0.09 -1.89 0.00 0.16 0.84 0.00 0.00 4.00 3.88

Brandon Sproat, Milwaukee Brewers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 109 10.2% 61.6% 96.6 mph 25 18.7s 37 0.0%
Z-score 0.59 -0.20 -0.88 nan -1.02 -0.16
pNERD -1.17 -0.10 -0.44 2.00 1.02 0.08 1.00 0.00 3.80 6.18

Peter Lambert, Houston Astros

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 100 11.4% 62.0% 94.4 mph 29 19.5s -7 0.0%
Z-score 0.08 0.32 -0.69 nan 0.03 0.51
pNERD -0.16 0.16 -0.35 2.00 0.00 -0.26 0.00 0.00 3.80 5.20

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Arizona Diamondbacks @ Seattle Mariners, 7:10p

Summary

If you want a reasonably watchable game that leans on a clear pitching story rather than fireworks, this is it: Bryan Woo gives Seattle the edge (high pNERD), while Ryne Nelson’s lower pNERD and uneven peripherals mean the Diamondbacks are the more likely source of offense. Nelson is coming off a career‑high eight‑inning outing, which might buy Arizona a few quiet frames, but Woo’s track record — including dominant home results since last season — and better underlying profile make him the game’s headline arm. The gNERD sits near the historical median (10.52 vs. a median ~10.10) so expect a middle‑of‑the‑day blend of innings and occasional offense rather than a must‑see slugfest; team NERDs are nearly even, with Seattle’s strong bat components offset by shaky fielding that could inject chaos late. Watch for matchups late in games: Seattle’s bullpen and positive “luck” add intrigue, while Arizona’s good baserunning and fielding runs suggest they can manufacture against a quality starter. Lineup/injury notes (Arenado out, Raleigh on the mend) slightly tilt narrative importance to Seattle’s depth.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1.)

Recommended broadcasts: TV, Seattle Mariners (2.35); radio, Seattle Mariners (2.52)

Arizona Diamondbacks

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 2.9 7.1% 2.2 9.5 9.7 $231.6M 30.2 -14.0 2.19 1.92
Z-score 0.15 -0.72 0.69 0.95 -0.02 0.33 1.08 -1.05 -0.39 -0.99
tNERD 0.15 -0.72 0.69 0.95 -0.02 0.00 0.00 0.00 0.00 0.00 4.00 5.05

Seattle Mariners

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 18.5 8.6% 0.1 -13.3 14.4 $196.7M 28.4 10.0 2.35 2.52
Z-score 0.82 0.38 -0.08 -1.49 0.34 -0.07 -0.52 0.76 -0.07 0.28
tNERD 0.82 0.38 -0.08 -1.49 0.34 0.07 0.52 0.76 0.00 0.14 4.00 5.46

Ryne Nelson, Arizona Diamondbacks

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 117 9.3% 67.2% 96.3 mph 28 20.9s -3 0.0%
Z-score 1.04 -0.59 1.41 nan -0.23 1.69
pNERD -2.07 -0.30 0.71 2.00 0.23 -0.85 0.00 0.00 3.80 3.52

Bryan Woo, Seattle Mariners

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 97 11.3% 67.7% 95.6 mph 26 20.9s 3 0.0%
Z-score -0.09 0.28 1.64 nan -0.76 1.69
pNERD 0.18 0.14 0.82 2.00 0.76 -0.85 0.15 0.00 3.80 7.00

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Toronto Blue Jays @ Baltimore Orioles, 1:05p

Summary

Watch for Trey Yesavage’s stuff; expect a pitcher-driven game where the rookie’s electric arsenal makes the contest interesting even if the lineups don’t. Yesavage’s high pNERD (9.52) matches the scouting: mid-90s velocity and an above-average strikeout profile that turns every two-strike count into a watchable moment. The flip side is Brandon Young, whose low pNERD (2.73) reflects ugly underlying numbers (elevated xFIP-/walk issues and a history of a high WHIP), which makes him a volatile but less reliably entertaining pitcher to follow. Team NERDs are both underwhelming (Toronto 3.66, Baltimore 4.65), so this isn’t a guaranteed slugfest—expect more strikeouts, small-ball chances, and bullpen influence than long rallies. The overall gNERD of 10.28 sits near the historical mean, so the game’s appeal mostly rests on Yesavage’s ceiling versus Young’s propensity to hand out traffic; if you like meaningful two-strike pitch battles and chase-the-closer moments, this is worth tuning into, otherwise it’s safely middle-of-the-day viewing.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)

Recommended broadcasts: TV, Toronto Blue Jays (3.10); radio, Toronto Blue Jays (2.39)

Toronto Blue Jays

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -14.7 6.6% -2.1 6.1 21.2 $306.1M 30.1 1.0 3.10 2.39
Z-score -0.61 -1.08 -0.88 0.58 0.86 1.18 0.99 0.08 1.40 0.01
tNERD -0.61 -1.08 -0.88 0.58 0.86 0.00 0.00 0.08 0.70 0.00 4.00 3.66

Baltimore Orioles

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 5.0 8.0% 2.2 -12.7 19.9 $214.8M 29.0 -4.0 2.82 2.10
Z-score 0.24 -0.06 0.69 -1.43 0.76 0.14 -0.02 -0.30 0.85 -0.61
tNERD 0.24 -0.06 0.69 -1.43 0.76 0.00 0.02 0.00 0.42 0.00 4.00 4.65

Trey Yesavage, Toronto Blue Jays

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 93 15.1% 64.7% 94.3 mph 22 18.6s -38 0.0%
Z-score -0.31 1.93 0.40 nan -1.81 -0.24
pNERD 0.63 0.97 0.20 2.00 1.81 0.12 0.00 0.00 3.80 9.52

Brandon Young, Baltimore Orioles

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 127 9.7% 63.2% 93.9 mph 27 19.0s -41 0.0%
Z-score 1.60 -0.42 -0.21 nan -0.49 0.09
pNERD -3.20 -0.21 -0.11 2.00 0.49 -0.05 0.00 0.00 3.80 2.73

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Kansas City Royals @ Texas Rangers, 1:05p

Summary

Not must-see but quietly interesting: a veteran southpaw (Seth Lugo) with a short, punchy pace meets a young hard-thrower (Kumar Rocker) whose stuff can miss bats — the gNERD (9.53) says “moderately watchable,” but the matchup and bullpen context are the real reasons to tune in. Lugo brings craft, a brisk pace and steadiness that boost his pNERD, while Rocker’s juice and swing-and-miss slider give Texas upside; Rocker was scratched earlier in May but appears back in the rotation, so there’s a mild storyline about health and durability. The teams’ tNERD marks are both low, and Kansas City’s bullpen looks thin — a setup that could produce late-inning drama if either starter falters. Analytically: Lugo’s profile (veteran command, quicker pace) increases the chance of a short, controlled start; Rocker’s raw swing-and-miss stuff makes him a higher-variance bet — strikeouts and early runs are plausible. Given today’s league-wide slate (average gNERD higher), this isn’t a top-tier pick, but it’s a tidy game if you like veteran craft vs. young power and the potential bullpen fireworks.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, Kansas City Royals (2.11); radio, Kansas City Royals (2.22)

Kansas City Royals

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -27.6 8.1% 2.8 5.1 -8.3 $184.5M 29.7 14.0 2.11 2.22
Z-score -1.16 0.01 0.91 0.48 -1.40 -0.21 0.62 1.06 -0.54 -0.36
tNERD -1.16 0.01 0.91 0.48 -1.40 0.21 0.00 1.06 0.00 0.00 4.00 4.11

Texas Rangers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -7.9 8.2% -1.4 0.2 11.3 $201.9M 30.3 11.0 2.01 2.08
Z-score -0.32 0.09 -0.63 -0.05 0.10 -0.01 1.17 0.84 -0.74 -0.65
tNERD -0.32 0.09 -0.63 -0.05 0.10 0.01 0.00 0.84 0.00 0.00 4.00 4.05

Seth Lugo, Kansas City Royals

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 101 7.3% 64.6% 91.5 mph 36 16.4s -12 0.0%
Z-score 0.14 -1.46 0.36 nan 1.87 -2.09
pNERD -0.27 -0.73 0.18 2.00 0.00 1.04 0.00 0.00 3.80 6.02

Kumar Rocker, Texas Rangers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 102 10.0% 61.4% 94.4 mph 26 20.5s -4 0.0%
Z-score 0.19 -0.29 -0.96 nan -0.76 1.35
pNERD -0.39 -0.14 -0.48 2.00 0.76 -0.68 0.00 0.00 3.80 4.87

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Minnesota Twins @ Pittsburgh Pirates, 1:05p

Summary

Not must-see TV: a gNERD of 9.41 puts this below the slate’s average and slightly under the historical mean, so don’t expect a fireworks showcase — but there’s watchable texture in the pitching contrast and a roster wrinkle that could matter late. The numbers favor Pittsburgh’s lineup and baserunning (their tNERD is notably higher than Minnesota’s), while Bailey Ober’s modest pNERD and unusually low velocity make him more hittable than his surface record suggests; Mitch Keller grades a touch better and brings more juice, which sets up a contest of soft-contact innings versus occasional hard-hit danger. Minnesota lost a depth arm when Kendry Rojas was placed on the IL, a small storyline that nudges the Twins’ bullpen leverage and makes late-inning decision-making more interesting. Expect a shorter starter window, a tilt that leans toward quick at-bats and baserunning plays rather than long strategic bullpen chess, and a better shot at entertainment if Keller can turn his swing-and-miss stuff into chase strikes after his recent uneven outing.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, Minnesota Twins (2.30); radio, Minnesota Twins (2.06)

Minnesota Twins

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -5.6 8.6% -2.6 -5.4 4.0 $122.1M 28.9 -11.0 2.30 2.06
Z-score -0.22 0.38 -1.07 -0.65 -0.46 -0.92 -0.06 -0.83 -0.17 -0.69
tNERD -0.22 0.38 -1.07 -0.65 -0.46 0.92 0.06 0.00 0.00 0.00 4.00 2.98

Pittsburgh Pirates

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 11.4 7.8% 4.6 -5.6 7.9 $119.1M 28.8 -3.0 2.01 1.98
Z-score 0.51 -0.20 1.57 -0.67 -0.16 -0.96 -0.20 -0.22 -0.74 -0.86
tNERD 0.51 -0.20 1.57 -0.67 -0.16 0.96 0.20 0.00 0.00 0.00 4.00 6.21

Bailey Ober, Minnesota Twins

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 115 9.3% 64.5% 88.5 mph 30 17.9s -20 0.0%
Z-score 0.92 -0.59 0.32 nan 0.29 -0.83
pNERD -1.85 -0.30 0.16 2.00 0.00 0.41 0.00 0.00 3.80 4.23

Mitch Keller, Pittsburgh Pirates

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 101 8.7% 64.1% 93.0 mph 30 18.4s -12 0.0%
Z-score 0.14 -0.85 0.18 nan 0.29 -0.41
pNERD -0.27 -0.43 0.09 2.00 0.00 0.20 0.00 0.00 3.80 5.39

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Detroit Tigers @ Chicago White Sox, 11:10a

Summary

Not a must-watch fireworks show, but there’s enough texture here — a White Sox lineup that can punish contact and a Tigers starter with a recent, headline-grabbing roller coaster — to make this worth tuning into for process-watchers. The gNERD (8.53) is modest—below today’s slate average—because team and pitcher components pull in opposite directions: Chicago’s tNERD (7.86) looks lively (good barrel rate and batting runs) while Detroit’s tNERD (2.44) is depressed by poor defense and baserunning even though their Luck number implies they’ve been underperforming and could rebound. Framber Valdez carries the story: suspended after a May 5 incident and scorched for a 10-run outing, yet he followed with a quieter turn recently, so there’s curiosity about whether he’s settled or still erratic. Anthony Kay is the anti-storyline — low pNERD (1.54) and shaky strike/whiff profiles — but he’s been stingy in results, allowing two runs or fewer in most starts. Finally, Detroit’s rotation depth took a hit with Casey Mize to the IL, which amplifies interest in Valdez’s outings for Tigers fans.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, Detroit Tigers (2.74); radio, Detroit Tigers (2.64)

Detroit Tigers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -15.2 8.6% -3.2 -12.2 2.8 $239.2M 29.6 17.0 2.74 2.64
Z-score -0.63 0.38 -1.29 -1.38 -0.55 0.42 0.58 1.29 0.69 0.54
tNERD -0.63 0.38 -1.29 -1.38 -0.55 0.00 0.00 1.29 0.34 0.27 4.00 2.44

Chicago White Sox

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 12.8 9.4% -0.9 -0.9 8.2 $105.8M 27.1 0.0 1.82 2.57
Z-score 0.57 0.97 -0.44 -0.17 -0.14 -1.11 -1.76 0.01 -1.11 0.39
tNERD 0.57 0.97 -0.44 -0.17 -0.14 1.11 1.76 0.01 0.00 0.19 4.00 7.86

Framber Valdez, Detroit Tigers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 103 9.1% 65.9% 94.0 mph 32 19.5s 1 0.0%
Z-score 0.25 -0.68 0.89 nan 0.82 0.51
pNERD -0.50 -0.34 0.44 2.00 0.00 -0.26 0.05 0.00 3.80 5.20

Anthony Kay, Chicago White Sox

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 123 8.7% 61.1% 95.4 mph 31 20.2s -27 0.0%
Z-score 1.37 -0.85 -1.06 nan 0.56 1.10
pNERD -2.75 -0.43 -0.53 2.00 0.00 -0.55 0.00 0.00 3.80 1.54

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San Francisco Giants @ Colorado Rockies, 6:10p

Summary

Skip the highlights reel: a gNERD of 6.75 makes this the least watchable game on the board — two slumping offenses and only middling arms, with storyline spice limited to roster shuffling and injury comebacks. The Giants and Rockies both carry tiny tNERD marks (1.78 and 1.62) driven by awful run production — San Francisco’s offense has been a top‑to‑bottom mess and Colorado has been even worse at the plate — so you shouldn’t expect a timely barrage of offense to rescue the broadcast.

The pitchers are unexciting but not identical: Houser (pNERD 4.80) and Feltner (pNERD 5.29) sit around league‑average nerdiness, both bringing mid‑90s heaters (that velocity component is one of the few bright spots) paired with very low swing‑strike signals — i.e., they’re more pitch‑to‑contact than punchout artists, which at Coors normally matters, except these lineups aren’t taking advantage. Positive “luck” on both starters suggests they may be underperforming and could clean up a bit, but that’s not enough to flip this into must‑watch. Feltner’s recent return from an IL stint (right ulnar nerve inflammation) and San Francisco’s recent roster moves (Mahle to IL; Webb and Jung Hoo Lee back) are the main human stories here, not on‑field fireworks.

If you want high entertainment per minute, this isn’t it; if you like mild intrigue — injury comebacks, bullpen matchups (Colorado’s relief corps has been a legitimately useful unit this year) — there’s a sliver of value, but mostly this is a background game.

(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)

Recommended broadcasts: TV, San Francisco Giants (3.20); radio, San Francisco Giants (3.49)

San Francisco Giants

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -15.9 6.6% -5.3 -2.1 -2.1 $228.3M 29.6 11.0 3.20 3.49
Z-score -0.66 -1.08 -2.05 -0.30 -0.93 0.29 0.49 0.84 1.59 2.34
tNERD -0.66 -1.08 -2.05 -0.30 -0.93 0.00 0.00 0.84 0.79 1.17 4.00 1.78

Colorado Rockies

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -45.1 6.3% -0.8 -2.7 18.5 $134.1M 29.5 2.0 1.73 1.80
Z-score -1.91 -1.30 -0.41 -0.36 0.66 -0.79 0.44 0.16 -1.29 -1.25
tNERD -1.91 -1.30 -0.41 -0.36 0.66 0.79 0.00 0.16 0.00 0.00 4.00 1.62

Adrian Houser, San Francisco Giants

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 114 7.6% 63.0% 95.0 mph 33 17.6s 21 0.0%
Z-score 0.87 -1.33 -0.28 nan 1.08 -1.08
pNERD -1.74 -0.67 -0.14 2.00 0.00 0.54 1.00 0.00 3.80 4.80

Ryan Feltner, Colorado Rockies

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 107 11.3% 61.3% 94.8 mph 29 19.4s 30 0.0%
Z-score 0.47 0.28 -0.97 nan 0.03 0.43
pNERD -0.95 0.14 -0.48 2.00 0.00 -0.22 1.00 0.00 3.80 5.29

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