Andrew's Musings

MLB: What to watch on June 11, 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

Los Angeles Dodgers @ Pittsburgh Pirates, 3:40p

Summary

This is the day’s most watchable game: gNERD 12.62 puts Dodgers at Pirates near the top of today’s slate because Los Angeles brings an offense and defense that both push tNERD into elite territory while handing the ball to a young, surging Justin Wrobleski. The numbers back it: the Dodgers’ team profile screams quality hitting and defense, and their 9.88 tNERD pairs with Wrobleski’s above-average pNERD to promise meaningful action rather than a slog.

Wrobleski’s recent stretch (including a noted “gem” outing and mechanical changes that seem to have stuck) makes him the novelty here — young, efficient, and pitching to contact with better-than-expected strike rates despite a low swing-and-miss profile, which suggests hitters will have to earn everything.

Mitch Keller is a steady but streaky contrast: his pNERD is middling, he’s shown some recent rough outings and inconsistent results, and he brings enough strikeout history to keep innings interesting; that mix plus the Pirates’ lively baserunning gives this game multiple pathways to drama.

In short: prioritize this one for high-leverage, pitchable contact versus an offense that doesn’t miss many chances — watchability driven by matchup texture more than pure swing-and-miss fireworks.

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

Recommended broadcasts: TV, Los Angeles Dodgers (2.45); radio, Los Angeles Dodgers (2.51)

Los Angeles Dodgers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 63.1 10.1% -2.9 19.2 25.7 $413.5M 30.0 3.0 2.45 2.51
Z-score 2.52 1.57 -1.11 1.63 0.89 2.41 0.90 0.19 0.12 0.26
tNERD 2.52 1.57 -1.11 1.63 0.89 0.00 0.00 0.19 0.06 0.13 4.00 9.88

Pittsburgh Pirates

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 19.3 8.2% 5.5 -11.8 10.6 $119.1M 28.8 -6.0 2.01 1.98
Z-score 0.79 0.06 1.75 -1.08 -0.12 -0.96 -0.20 -0.38 -0.74 -0.86
tNERD 0.79 0.06 1.75 -1.08 -0.12 0.96 0.20 0.00 0.00 0.00 4.00 6.55

Justin Wrobleski, Los Angeles Dodgers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 107 7.8% 66.6% 93.9 mph 25 16.7s -43 0.0%
Z-score 0.45 -1.26 1.14 -0.13 -1.02 -1.83
pNERD -0.89 -0.63 0.57 0.00 1.02 0.92 0.00 0.00 3.80 4.79

Mitch Keller, Pittsburgh Pirates

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 102 8.9% 64.4% 93.1 mph 30 18.5s 12 0.0%
Z-score 0.16 -0.75 0.27 -0.51 0.28 -0.35
pNERD -0.32 -0.38 0.14 0.00 0.00 0.17 0.60 0.00 3.80 4.02

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Atlanta Braves @ Chicago White Sox, 4:40p

Summary

If you care about a game where the matchup promise comes from team balance and storylines rather than two flamethrowers, this is one of the better watches of the day: a gNERD of 12.46 sits well above today’s mean and nudges beyond the historical 75th percentile, thanks to two high tNERD clubs and some real narrative spice. The White Sox have been hot at home (and just beat Atlanta in a tight game), and the Braves just lost Ronald Acuña Jr. to the 10-day IL—both developments raise the stakes for Chicago’s lineup and make each late-inning matchup matter more. Martín Pérez is serviceable: veteran lefty, middling pNERD (3.96) with below-average velocity and limited swing‑and‑miss, so expect command and contact management rather than strikeout dominance. The projected White Sox starter is Anthony Kay, a lefty with mixed results this year who has kept the ball in play enough to make this a tactical duel rather than a slugfest. Bottom line: both teams’ strong team metrics and the bullpen implications make this compelling TV for fans who like strategic, late‑game drama more than high‑octane offense.

(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, Chicago White Sox (2.57)

Atlanta Braves

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 26.3 9.4% -0.6 7.7 27.5 $249.8M 30.5 -20.0 2.36 2.36
Z-score 1.06 1.02 -0.33 0.62 1.01 0.54 1.36 -1.25 -0.05 -0.06
tNERD 1.06 1.02 -0.33 0.62 1.01 0.00 0.00 0.00 0.00 0.00 4.00 7.39

Chicago White Sox

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 19.9 9.2% -0.9 0.7 12.4 $105.8M 27.1 4.0 1.82 2.57
Z-score 0.81 0.86 -0.43 0.01 -0.00 -1.11 -1.76 0.25 -1.11 0.39
tNERD 0.81 0.86 -0.43 0.01 -0.00 1.11 1.76 0.25 0.00 0.19 4.00 8.56

Martín Pérez, Atlanta Braves

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 96 9.0% 62.1% 89.9 mph 35 17.8s -23 0.0%
Z-score -0.19 -0.71 -0.63 -2.03 1.59 -0.92
pNERD 0.37 -0.35 -0.32 0.00 0.00 0.46 0.00 0.00 3.80 3.96

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St. Louis Cardinals @ New York Mets, 10:10a

Summary

Worth tuning in: gNERD 11.12 is above today's average, delivering a tidy contrast—a near–unknown Cardinals starter with no pro-level pNERD data versus a Mets arm who’s shown real swing-and-miss promise. Hunter Dobbins arrives with essentially no starter track record in the input (pNERD 0), having been used in relief recently and pushed into a traditional starting role by St. Louis. The Cards’ team profile is the bigger draw: high tNERD (7.99) driven by elite fielding and baserunning, a young roster, and an offense that’s been cooking in this series, which should help keep the action moving. The Mets, by contrast, carry a weak batting-run profile (-40.8) but a high-variance bullpen and a flashy broadcast draw that ups viewability for local fans. Christian Scott (pNERD 3.99) gives this game real teeth—he’s a 95+ mph guy with a revamped arsenal and recent positive results after returning from the IL. In short: pick this for narrative (rookie test, St. Louis defense) and for Scott’s matchup intrigue; it’s less likely to be a classic pitchers’ duel.

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

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

St. Louis Cardinals

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 6.4 7.6% 2.7 9.0 6.5 $111.2M 26.9 -1.0 2.17 2.15
Z-score 0.28 -0.42 0.79 0.74 -0.40 -1.05 -1.94 -0.06 -0.43 -0.50
tNERD 0.28 -0.42 0.79 0.74 -0.40 1.05 1.94 0.00 0.00 0.00 4.00 7.99

New York Mets

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -40.8 9.2% -0.3 -3.8 27.1 $374.9M 29.9 -26.0 3.32 3.05
Z-score -1.59 0.86 -0.23 -0.38 0.99 1.97 0.85 -1.63 1.82 1.41
tNERD -1.59 0.86 -0.23 -0.38 0.99 0.00 0.00 0.00 0.91 0.70 4.00 5.26

Hunter Dobbins, St. Louis Cardinals

No detailed stats available

Christian Scott, New York Mets

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 102 9.7% 63.2% 95.4 mph 27 19.6s -40 0.0%
Z-score 0.16 -0.39 -0.20 0.58 -0.50 0.56
pNERD -0.32 -0.19 -0.10 0.58 0.50 -0.28 0.00 0.00 3.80 3.99

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Chicago Cubs @ Colorado Rockies, 12:10p

Summary

gNERD 10.15 — not must-see TV, but worth tuning into if you like a fast, high-variance arm against a weak lineup. Edward Cabrera’s elevated pNERD (6.83) plus a 96 mph vibe and huge “luck” component suggest he can flash swing-and-miss stuff and an efficient outing that makes for tidy innings; that’s the main draw here. Chicago’s tNERD (8.35) is carried by elite fielding and decent broadcast appeal, so this shapes up as a pitchers’ canvas where a single Rockies misstep matters more than a sustained rally. Colorado’s tNERD (2.28) — driven by a very poor offense — depresses expected scoring and watchability unless the ballpark miraculously livens the scoreboard. Ryan Feltner’s lower pNERD (2.84) and his recent injury history temper the pitching duel; he’s had rougher returns and limited success in rematches, which raises the chance of high-leverage bullpen work. If you prefer strikeout duels and the story of a swingy, high-variance starter (Cabrera) versus a shaky home offense, this is a reasonable watch; if you want consistent offense, give it a pass.

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

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 16.2 7.8% 0.0 28.5 1.5 $246.2M 29.8 15.0 3.01 3.15
Z-score 0.66 -0.26 -0.12 2.44 -0.73 0.50 0.67 0.94 1.22 1.62
tNERD 0.66 -0.26 -0.12 2.44 -0.73 0.00 0.00 0.94 0.61 0.81 4.00 8.35

Colorado Rockies

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -42.6 6.6% -0.2 -2.5 18.2 $134.1M 29.5 7.0 1.73 1.80
Z-score -1.66 -1.21 -0.19 -0.27 0.39 -0.79 0.44 0.44 -1.29 -1.25
tNERD -1.66 -1.21 -0.19 -0.27 0.39 0.79 0.00 0.44 0.00 0.00 4.00 2.28

Edward Cabrera, Chicago Cubs

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 95 11.9% 62.1% 96.0 mph 28 17.8s 28 0.0%
Z-score -0.24 0.62 -0.67 0.87 -0.24 -0.92
pNERD 0.49 0.31 -0.33 0.87 0.24 0.46 1.00 0.00 3.80 6.83

Ryan Feltner, Colorado Rockies

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 106 10.2% 62.1% 94.7 mph 29 19.0s -16 0.0%
Z-score 0.39 -0.16 -0.64 0.25 0.02 0.07
pNERD -0.78 -0.08 -0.32 0.25 0.00 -0.03 0.00 0.00 3.80 2.84

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Seattle Mariners @ Baltimore Orioles, 4:05p

Summary

This is a quietly watchable pitching mismatch: Bryan Woo is the real attraction with a high pNERD and swing-and-miss/velocity profile, while Kyle Bradish’s uneven command and tendency to allow traffic make the game fertile for runs if Seattle gets to him. The gNERD (9.97) sits near today’s average, and the teams’ tNERDs are basically average, so what makes this one worth a look is the starter contrast—Woo’s 7.31 pNERD reflects a below-average xFIP- (better than league), strong strike rate and lively velo, even if he’s coming off a rough five-run outing; that combination usually produces deep, strikeout-heavy innings and the chance for a bounce-back. Bradish’s 2.20 pNERD and higher WHIP/recent messy starts suggest he’ll invite baserunners and long at-bats, which pairs well with the Orioles’ competent bullpen and the Mariners’ under-the-surface luck (they’ve been a touch unlucky and could get more offense). In short: tune in if you like watching a high-upside young arm try to impose order against a starter who often lets games get interesting.

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

Recommended broadcasts: TV, Baltimore Orioles (2.82); radio, Seattle Mariners (2.52)

Seattle Mariners

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 20.4 8.6% -2.2 -13.6 15.1 $196.7M 28.4 16.0 2.35 2.52
Z-score 0.83 0.38 -0.87 -1.24 0.18 -0.07 -0.52 1.00 -0.07 0.28
tNERD 0.83 0.38 -0.87 -1.24 0.18 0.07 0.52 1.00 0.00 0.14 4.00 5.01

Baltimore Orioles

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat 12.8 8.6% 1.5 -9.2 20.3 $214.8M 29.0 -6.0 2.82 2.10
Z-score 0.53 0.38 0.39 -0.85 0.53 0.14 -0.02 -0.38 0.85 -0.61
tNERD 0.53 0.38 0.39 -0.85 0.53 0.00 0.02 0.00 0.42 0.00 4.00 5.41

Bryan Woo, Seattle Mariners

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 88 11.6% 68.1% 95.6 mph 26 20.7s 8 0.0%
Z-score -0.65 0.48 1.76 0.68 -0.76 1.47
pNERD 1.29 0.24 0.88 0.68 0.76 -0.74 0.40 0.00 3.80 7.31

Kyle Bradish, Baltimore Orioles

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 99 10.4% 60.8% 94.3 mph 29 21.5s -4 0.0%
Z-score -0.01 -0.07 -1.18 0.06 0.02 2.13
pNERD 0.03 -0.03 -0.59 0.06 0.00 -1.07 0.00 0.00 3.80 2.20

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Arizona Diamondbacks @ Miami Marlins, 10:10a

Summary

Not a classic pitching duel — this is watchable because Miami’s team profile and an unconventional “bullpen-to-bulk” start give this game life, not because either starter promises a shutout. Merrill Kelly’s underlying numbers and low pNERD make him a target, while Tyler Phillips’ higher pNERD, plus his velo and swing-and-miss profile, make him the more intriguing arm on the bump.

Kelly’s season has trended ugly in underlying metrics (high xFIP-) and he just allowed a big outing a few starts back, so expect contact-prone at-bats rather than vintage strikeout stuff. Phillips is being used in a bullpen/bulk role and this is only his third start, but his 96+ mph juice and respectable swStr% suggest upside and matchup variance. Team NERD favors Miami (7.12) thanks to baserunning and the youthful, cheaper roster; Arizona’s tNERD is propped up by above-average fielding but suffers from a light offense. The low average pNERD (2.69) tilts this toward a watch-for-runs/bullpen-intrigue game rather than a must-see pitchers’ duel.

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

Recommended broadcasts: TV, Arizona Diamondbacks (2.19); radio, Arizona Diamondbacks (1.92)

Arizona Diamondbacks

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -20.0 7.2% 1.3 15.1 14.8 $231.6M 30.2 -15.0 2.19 1.92
Z-score -0.76 -0.74 0.32 1.27 0.16 0.33 1.08 -0.94 -0.39 -0.99
tNERD -0.76 -0.74 0.32 1.27 0.16 0.00 0.00 0.00 0.00 0.00 4.00 4.25

Miami Marlins

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -7.0 6.3% 5.1 -1.4 18.1 $81.5M 27.4 2.0 1.79 1.66
Z-score -0.25 -1.45 1.61 -0.17 0.38 -1.39 -1.49 0.13 -1.17 -1.54
tNERD -0.25 -1.45 1.61 -0.17 0.38 1.39 1.49 0.13 0.00 0.00 4.00 7.12

Merrill Kelly, Arizona Diamondbacks

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 127 10.6% 62.2% 92.0 mph 37 18.3s 10 0.0%
Z-score 1.59 0.02 -0.61 -1.03 2.11 -0.51
pNERD -3.19 0.01 -0.30 0.00 0.00 0.26 0.50 0.00 3.80 1.08

Tyler Phillips, Miami Marlins

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 108 12.4% 63.0% 96.1 mph 28 18.7s -58 0.0%
Z-score 0.50 0.85 -0.31 0.91 -0.24 -0.18
pNERD -1.01 0.42 -0.15 0.91 0.24 0.09 0.00 0.00 3.80 4.31

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Texas Rangers @ Kansas City Royals, 11:10a

Summary

Not a marquee duel: gNERD sits at a modest 7.92, driven more by team quirks than by a fireworks pitching matchup — Wacha’s steadier profile and the Royals’ defense/baserunning make this watchable in a slow, tactical way rather than for high strikeout or power bursts. Kumar Rocker’s low pNERD (2.53) tracks with the underlying components: limited swing‑and‑miss and a subpar strike rate despite average velo, so expect contact-heavy innings and a lineup‑driven game; Michael Wacha’s higher pNERD (4.15) is buoyed by cleaner strike rates and a brisk pace that helps keep things interesting. The Rangers’ tNERD is propped up by positive bullpen/luck markers, while Kansas City’s tNERD reflects excellent fielding and baserunning but a thin bullpen — that combination points to low‑event, strategically noisy innings where small plays matter. Rocker did throw six scoreless against these Royals recently and has been trending better of late, while Wacha has been noticeably stronger in his home appearances, which tilts the edge toward the Royals’ steadier starter.

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

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

Texas Rangers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -4.5 7.9% -0.1 1.9 18.0 $201.9M 30.3 15.0 2.01 2.08
Z-score -0.15 -0.18 -0.16 0.12 0.37 -0.01 1.17 0.94 -0.74 -0.65
tNERD -0.15 -0.18 -0.16 0.12 0.37 0.01 0.00 0.94 0.00 0.00 4.00 4.95

Kansas City Royals

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -27.1 8.5% 2.7 6.7 -12.2 $184.5M 29.7 17.0 2.11 2.22
Z-score -1.04 0.30 0.79 0.54 -1.66 -0.21 0.62 1.07 -0.54 -0.36
tNERD -1.04 0.30 0.79 0.54 -1.66 0.21 0.00 1.07 0.00 0.00 4.00 4.20

Kumar Rocker, Texas Rangers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 107 9.9% 61.3% 94.4 mph 26 20.4s -21 0.0%
Z-score 0.45 -0.30 -0.97 0.11 -0.76 1.22
pNERD -0.89 -0.15 -0.49 0.11 0.76 -0.61 0.00 0.00 3.80 2.53

Michael Wacha, Kansas City Royals

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 102 9.5% 64.3% 92.9 mph 34 17.0s -22 0.0%
Z-score 0.16 -0.48 0.23 -0.61 1.33 -1.58
pNERD -0.32 -0.24 0.12 0.00 0.00 0.79 0.00 0.00 3.80 4.15

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Minnesota Twins @ Detroit Tigers, 10:10a

Summary

This is a low-drama, bullpen-ish-looking game whose only real pull is watching Zebby Matthews’ uptick in stuff and pace; otherwise both teams’ weak team NERD numbers make this one easy to skip. Matthews’ above-average pNERD (5.55) reflects better velocity and an unusually quick pace that can create action and keep the inning-to-inning feel brisk, and he’s coming off a noted strong showing earlier this year that suggests he can miss barrels when his heater plays. Keider Montero’s pNERD (2.09) flags trouble: a high xFIP-, low whiff rate and some recent outings where he’s been hit leave him in more of a contact-risk role, even as his regular-season spot has been buoyed by opportunity while veterans return. Both teams’ tNERDs (Twins 2.46, Tigers 2.72) are near the bottom of the day’s slate, driven by poor baserunning and fielding marks; Detroit’s positive “luck” suggests they’ve been underperforming their peripherals and could look more dangerous than the raw tNERD implies. Overall: watch for Matthews’ stuff and fast tempo if you want pitching texture, but don’t expect this to be a must-see slugfest.

(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)

Minnesota Twins

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -4.3 8.3% -2.7 -10.0 4.2 $122.1M 28.9 -13.0 2.30 2.06
Z-score -0.14 0.14 -1.04 -0.92 -0.55 -0.92 -0.06 -0.81 -0.17 -0.69
tNERD -0.14 0.14 -1.04 -0.92 -0.55 0.92 0.06 0.00 0.00 0.00 4.00 2.46

Detroit Tigers

Batting Barrel% BaseR Fielding Bullpen Payroll Age Luck TV Radio C Total
Raw stat -9.7 9.0% -3.6 -15.5 3.4 $239.2M 29.6 18.0 2.74 2.64
Z-score -0.36 0.70 -1.35 -1.41 -0.61 0.42 0.58 1.13 0.69 0.54
tNERD -0.36 0.70 -1.35 -1.41 -0.61 0.00 0.00 1.13 0.34 0.27 4.00 2.72

Zebby Matthews, Minnesota Twins

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 101 9.8% 63.3% 95.4 mph 26 16.8s -2 0.0%
Z-score 0.10 -0.34 -0.18 0.58 -0.76 -1.75
pNERD -0.20 -0.17 -0.09 0.58 0.76 0.87 0.00 0.00 3.80 5.55

Keider Montero, Detroit Tigers

xFIP- SwStr% Strike% Velocity Age Pace Luck KN% C Total
Raw stat 118 7.0% 65.4% 94.4 mph 25 19.4s -23 0.0%
Z-score 1.08 -1.62 0.65 0.11 -1.02 0.40
pNERD -2.15 -0.81 0.32 0.11 1.02 -0.20 0.00 0.00 3.80 2.09

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