MLB: What to watch on June 14, 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:
- Pitcher 'no data': Pitchers only have a pNERD score once they've started at least one game and have at least 20 innings pitched. I also show 'no data' when I can't correctly link a starting pitcher with their stats.
- Generated by the mlb-watchability project on GitHub.
Detail
Philadelphia Phillies @ Milwaukee Brewers, 11:10a
Summary
This is a pitcher’s-duel pick: two high-pNERD arms and a gNERD (17.27) that ranks at the top of the slate, so you’re buying peace, deception and strikeouts rather than fireworks. Cristopher Sánchez has been absolutely dominant this year and just turned in a double-digit strikeout outing recently, while Kyle Harrison’s run of excellent starts has made him one of the game’s most reliable young arms; those narratives line up neatly with both pitchers’ very high pNERD values.
Analytically, the matchup screams low scoring and tight sequencing: both pNERD values (~10.8) sit far above the day’s pitcher average, and xFIP- components for Sánchez and Harrison drive most of that credit, so expect swing-and-miss stuff and quality length from whoever gets control of the zone. The Brewers’ stronger team NERD (7.20) suggests more offensive upside than the Phillies’ middling tNERD, so if the game opens up it’s likelier to be Milwaukee doing the damage; otherwise this is a chess match where bullpen depth and matchup substitutions matter.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)
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 |
-31.9 |
7.7% |
5.2 |
-2.4 |
32.0 |
$309.8M |
30.5 |
-6.0 |
2.92 |
2.69 |
— |
— |
| Z-score |
-1.21 |
-0.33 |
1.54 |
-0.19 |
1.19 |
1.22 |
1.36 |
-0.37 |
1.03 |
0.64 |
— |
— |
| tNERD |
-1.21 |
-0.33 |
1.54 |
-0.19 |
1.19 |
0.00 |
0.00 |
0.00 |
0.52 |
0.32 |
4.00 |
5.83 |
Milwaukee Brewers
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
22.3 |
7.0% |
1.8 |
-6.5 |
27.2 |
$139.3M |
27.7 |
-33.0 |
2.66 |
2.56 |
— |
— |
| Z-score |
0.89 |
-0.88 |
0.46 |
-0.54 |
0.88 |
-0.73 |
-1.21 |
-2.03 |
0.53 |
0.37 |
— |
— |
| tNERD |
0.89 |
-0.88 |
0.46 |
-0.54 |
0.88 |
0.73 |
1.21 |
0.00 |
0.27 |
0.18 |
4.00 |
7.20 |
Cristopher Sánchez, Philadelphia Phillies
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
55 |
15.3% |
68.0% |
95.2 mph |
29 |
20.2s |
-18 |
0.0% |
— |
— |
| Z-score |
-2.54 |
2.19 |
1.69 |
0.49 |
0.03 |
1.06 |
— |
— |
— |
— |
| pNERD |
5.08 |
1.10 |
0.85 |
0.49 |
0.00 |
-0.53 |
0.00 |
0.00 |
3.80 |
10.78 |
Kyle Harrison, Milwaukee Brewers
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
72 |
13.8% |
66.5% |
95.0 mph |
24 |
16.9s |
-6 |
0.0% |
— |
— |
| Z-score |
-1.57 |
1.50 |
1.09 |
0.39 |
-1.27 |
-1.67 |
— |
— |
— |
— |
| pNERD |
3.13 |
0.75 |
0.54 |
0.39 |
1.27 |
0.83 |
0.00 |
0.00 |
3.80 |
10.73 |
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Miami Marlins @ Pittsburgh Pirates, 9:15a
Summary
Pitching matchup to prioritize: Paul Skenes brings true ace stuff (high velocity, elite K-rate) while Max Meyer’s steady, low-walk profile makes this a tense, low-margin duel — the kind of game that rewards close attention. MLB previews peg Meyer as an All-Star hopeful and note the Pirates have oddly struggled to score in many of Skenes’s starts, adding a clear narrative thread to the box score.
The gNERD (14.87) is well above typical games, driven largely by Skenes’s sky-high pNERD (10.13): he pairs a sub-3.00 season surface with a 10+ K/9 and a mid/upper-90s heater (Statcast shows his four-seam around 97+ mph). Meyer’s quieter but effective profile (pNERD 5.96) — strong control, mid-90s velocity and consistent 6‑0 results this year — means he can keep this close and low-scoring.
Team-wise the Marlins’ younger, cheaper roster and the Pirates’ baserunning/lineup mix push the tNERD higher, so you get both premium pitching and some offense upside. In short: watch for elite stuff and small-ball tension rather than fireworks.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)
Recommended broadcasts: TV, Pittsburgh Pirates (2.01); radio, Pittsburgh Pirates (1.98)
Miami Marlins
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-10.1 |
6.2% |
5.5 |
0.0 |
22.9 |
$81.5M |
27.4 |
0.0 |
1.79 |
1.66 |
— |
— |
| Z-score |
-0.37 |
-1.52 |
1.63 |
0.01 |
0.61 |
-1.39 |
-1.49 |
-0.00 |
-1.17 |
-1.54 |
— |
— |
| tNERD |
-0.37 |
-1.52 |
1.63 |
0.01 |
0.61 |
1.39 |
1.49 |
0.00 |
0.00 |
0.00 |
4.00 |
7.25 |
Pittsburgh Pirates
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
19.6 |
8.1% |
6.2 |
-15.1 |
11.1 |
$119.1M |
28.8 |
-4.0 |
2.01 |
1.98 |
— |
— |
| Z-score |
0.79 |
-0.01 |
1.85 |
-1.26 |
-0.13 |
-0.96 |
-0.20 |
-0.25 |
-0.74 |
-0.86 |
— |
— |
| tNERD |
0.79 |
-0.01 |
1.85 |
-1.26 |
-0.13 |
0.96 |
0.20 |
0.00 |
0.00 |
0.00 |
4.00 |
6.41 |
Max Meyer, Miami Marlins
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
89 |
13.2% |
63.9% |
94.6 mph |
27 |
19.8s |
-21 |
0.0% |
— |
— |
| Z-score |
-0.59 |
1.23 |
0.06 |
0.21 |
-0.49 |
0.73 |
— |
— |
— |
— |
| pNERD |
1.18 |
0.61 |
0.03 |
0.21 |
0.49 |
-0.36 |
0.00 |
0.00 |
3.80 |
5.96 |
Paul Skenes, Pittsburgh Pirates
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
72 |
12.3% |
64.6% |
97.1 mph |
24 |
19.0s |
-5 |
0.0% |
— |
— |
| Z-score |
-1.57 |
0.81 |
0.34 |
1.38 |
-1.27 |
0.07 |
— |
— |
— |
— |
| pNERD |
3.13 |
0.41 |
0.17 |
1.38 |
1.27 |
-0.03 |
0.00 |
0.00 |
3.80 |
10.13 |
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Detroit Tigers @ Cleveland Guardians, 10:40a
Summary
Watch this if you like dominated-by-the-pitching games: Gavin Williams’ premium arsenal and elite underlying numbers make this a pitcher-first show, and Casey Mize’s return from the injured list adds a bit of narrative tension. The 13.86 gNERD (well above both the historical mean and today’s average) is driven by a very high pNERD average — Williams grades out as the real danger (strong xFIP and big strikeout upside) while Mize brings intriguing stuff but rust and health questions after a recent IL stint. Cleveland’s team profile lifts watchability more than Detroit’s: the Guardians pair a beefy bullpen and steady baserunning with a roster that tends to manufacture close games, whereas Detroit’s offense and defense metrics suppress their tNERD despite a high “luck” number that suggests some positive regression is possible. Expect a low-to-moderate scoring affair with strikeout chases, late-inning bullpen leverage, and thin margins — entertaining if you prefer strategic pitcher-versus-lineup chess, less so if you want steady fireworks.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)
Recommended broadcasts: TV, Detroit Tigers (2.74); radio, Cleveland Guardians (3.14)
Detroit Tigers
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-9.7 |
9.2% |
-3.3 |
-15.1 |
8.3 |
$239.2M |
29.6 |
19.0 |
2.74 |
2.64 |
— |
— |
| Z-score |
-0.35 |
0.87 |
-1.15 |
-1.26 |
-0.30 |
0.42 |
0.58 |
1.16 |
0.69 |
0.54 |
— |
— |
| tNERD |
-0.35 |
0.87 |
-1.15 |
-1.26 |
-0.30 |
0.00 |
0.00 |
1.16 |
0.34 |
0.27 |
4.00 |
3.58 |
Cleveland Guardians
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-17.5 |
6.1% |
2.5 |
1.5 |
30.3 |
$88.9M |
27.6 |
9.0 |
2.16 |
3.14 |
— |
— |
| Z-score |
-0.65 |
-1.60 |
0.68 |
0.13 |
1.08 |
-1.30 |
-1.35 |
0.55 |
-0.44 |
1.60 |
— |
— |
| tNERD |
-0.65 |
-1.60 |
0.68 |
0.13 |
1.08 |
1.30 |
1.35 |
0.55 |
0.00 |
0.80 |
4.00 |
7.64 |
Casey Mize, Detroit Tigers
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
89 |
12.8% |
64.7% |
93.3 mph |
29 |
17.3s |
-35 |
0.0% |
— |
— |
| Z-score |
-0.59 |
1.04 |
0.39 |
-0.41 |
0.03 |
-1.34 |
— |
— |
— |
— |
| pNERD |
1.18 |
0.52 |
0.19 |
0.00 |
0.00 |
0.67 |
0.00 |
0.00 |
3.80 |
6.37 |
Gavin Williams, Cleveland Guardians
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
75 |
13.5% |
67.1% |
96.5 mph |
26 |
18.7s |
5 |
0.0% |
— |
— |
| Z-score |
-1.39 |
1.36 |
1.32 |
1.10 |
-0.75 |
-0.18 |
— |
— |
— |
— |
| pNERD |
2.79 |
0.68 |
0.66 |
1.10 |
0.75 |
0.09 |
0.25 |
0.00 |
3.80 |
10.12 |
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Los Angeles Dodgers @ Chicago White Sox, 11:10a
Summary
Watch if you like a clear storyline: the Dodgers’ star-laden team game (very high tNERD) paired with Emmet Sheehan’s swing‑and‑miss stuff makes this a solid yes, while Erick Fedde’s ordinary peripherals and poor underlying metrics temper expectations. The gNERD (13.02) is above both the historical and today’s averages, driven by Los Angeles’s top‑tier team components — big batting and fielding contributions — and a high pNERD for Sheehan. Sheehan profiles as the game’s spicy ingredient: legitimate whiff rates and a short leash after a recent rough outing, so viewers should expect high‑variance, strikeout‑tilted innings. Fedde, by contrast, has produced useful results at times but posts an unimpressive xFIP and low chase/swing numbers, making him likelier to be attacked by a deep Dodgers lineup. This shapes watchability into “fun if you like offense and strikeouts”: the matchup’s imbalance creates clear tension (can Sheehan miss bats and hold the line?) and roster/storyline interest without promising a textbook pitching duel.
(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, Chicago White Sox (2.57)
Los Angeles Dodgers
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
66.3 |
9.9% |
-2.3 |
17.4 |
28.9 |
$413.5M |
30.0 |
5.0 |
2.45 |
2.51 |
— |
— |
| Z-score |
2.60 |
1.42 |
-0.83 |
1.47 |
0.99 |
2.41 |
0.90 |
0.30 |
0.12 |
0.26 |
— |
— |
| tNERD |
2.60 |
1.42 |
-0.83 |
1.47 |
0.99 |
0.00 |
0.00 |
0.30 |
0.06 |
0.13 |
4.00 |
10.14 |
Chicago White Sox
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
15.1 |
9.1% |
-1.7 |
3.1 |
12.5 |
$105.8M |
27.1 |
0.0 |
1.82 |
2.57 |
— |
— |
| Z-score |
0.61 |
0.79 |
-0.64 |
0.27 |
-0.04 |
-1.11 |
-1.76 |
-0.00 |
-1.11 |
0.39 |
— |
— |
| tNERD |
0.61 |
0.79 |
-0.64 |
0.27 |
-0.04 |
1.11 |
1.76 |
0.00 |
0.00 |
0.19 |
4.00 |
8.05 |
Emmet Sheehan, Los Angeles Dodgers
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
88 |
14.7% |
64.9% |
94.5 mph |
26 |
20.4s |
26 |
0.0% |
— |
— |
| Z-score |
-0.65 |
1.92 |
0.47 |
0.16 |
-0.75 |
1.23 |
— |
— |
— |
— |
| pNERD |
1.30 |
0.96 |
0.23 |
0.16 |
0.75 |
-0.61 |
1.00 |
0.00 |
3.80 |
7.59 |
Erick Fedde, Chicago White Sox
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
123 |
6.7% |
60.0% |
93.8 mph |
33 |
17.0s |
-11 |
0.0% |
— |
— |
| Z-score |
1.36 |
-1.76 |
-1.47 |
-0.17 |
1.06 |
-1.59 |
— |
— |
— |
— |
| pNERD |
-2.71 |
-0.88 |
-0.74 |
0.00 |
0.00 |
0.79 |
0.00 |
0.00 |
3.80 |
0.26 |
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Chicago Cubs @ San Francisco Giants, 12:10p
Summary
Watch this if you like tidy contrasts: an above-average gNERD (11.88) driven less by two exciting lineups and more by a high-pNERD Logan Webb facing a Cubs team that’s been quietly strong; skip it if you demand fireworks every night. Logan Webb is the real draw — his 7.09 pNERD matches recent dominance (he flirted with a no‑hit bid in early June) and the profile suggests efficient, contact‑management outings rather than strikeout theatrics. The Cubs bring the more watchable team profile (tNERD 9.12): excellent defense, broadcaster appeal, and a little bad luck that makes them look sharper than the box score, plus a short win streak and hot hitters warming up. Ryan Rolison’s pNERD is listed at 0 here (no underlying pNERD data), but surface numbers show he’s been effective this season, which makes him a stealthy challenge for the Giants’ shaky baserunning and bullpen. In historical context the game sits above both the long‑run mean (10.11) and today’s average (10.58), so it’s a solid, pitcher‑centric watch: less boom, more nuanced chess.
(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)
Chicago Cubs
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
21.5 |
8.1% |
0.9 |
29.2 |
2.9 |
$246.2M |
29.8 |
14.0 |
3.01 |
3.15 |
— |
— |
| Z-score |
0.86 |
-0.01 |
0.18 |
2.46 |
-0.64 |
0.50 |
0.67 |
0.85 |
1.22 |
1.62 |
— |
— |
| tNERD |
0.86 |
-0.01 |
0.18 |
2.46 |
-0.64 |
0.00 |
0.00 |
0.85 |
0.61 |
0.81 |
4.00 |
9.12 |
San Francisco Giants
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
6.3 |
6.9% |
-6.1 |
-8.9 |
-7.5 |
$228.3M |
29.6 |
22.0 |
3.20 |
3.49 |
— |
— |
| Z-score |
0.27 |
-0.96 |
-2.04 |
-0.74 |
-1.29 |
0.29 |
0.49 |
1.34 |
1.59 |
2.34 |
— |
— |
| tNERD |
0.27 |
-0.96 |
-2.04 |
-0.74 |
-1.29 |
0.00 |
0.00 |
1.34 |
0.79 |
1.17 |
4.00 |
2.55 |
Ryan Rolison, Chicago Cubs
No detailed stats available
Logan Webb, San Francisco Giants
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
80 |
9.2% |
65.0% |
92.4 mph |
29 |
18.1s |
16 |
0.0% |
— |
— |
| Z-score |
-1.11 |
-0.61 |
0.50 |
-0.83 |
0.03 |
-0.68 |
— |
— |
— |
— |
| pNERD |
2.21 |
-0.31 |
0.25 |
0.00 |
0.00 |
0.34 |
0.80 |
0.00 |
3.80 |
7.09 |
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Atlanta Braves @ New York Mets, 10:40a
Summary
Watch this if you like a tidy, above-average pitching duel that could open into something livelier: Bryce Elder’s recent streak and the Braves’ punchy offense set a baseline for fun, while Freddy Peralta’s peripherals suggest he could swing things back if the Mets get even a little contact. The gNERD of 11.81 sits above both the historical mean (10.11) and today’s average (10.58), so this is better than your average snoozer. Elder has been legitimately sharp this season and his surface metrics and recent quality starts make him the safer bet to keep things low-scoring; that steadiness is reflected in his positive pNERD components (xFIP- and pace). Peralta, a winter acquisition from Milwaukee, has flashed swing-and-miss stuff but also some misfortune and command volatility—his positive luck component means he may be due for cleaner results. The Braves’ team profile (high barrel rate, strong bullpen) contrasts with a Mets offense that’s struggled overall, which tilts the contest toward a Braves advantage unless Peralta racks up Ks or the Mets find contact. Overall: above-average watchability for steady pitching and lineup contrast, not a guaranteed thriller but plenty to keep an eye on.
(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)
Atlanta Braves
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
24.5 |
9.5% |
-0.7 |
8.0 |
30.7 |
$249.8M |
30.5 |
-20.0 |
2.36 |
2.36 |
— |
— |
| Z-score |
0.98 |
1.11 |
-0.33 |
0.68 |
1.10 |
0.54 |
1.36 |
-1.23 |
-0.05 |
-0.06 |
— |
— |
| tNERD |
0.98 |
1.11 |
-0.33 |
0.68 |
1.10 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
4.00 |
7.54 |
New York Mets
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-39.5 |
9.1% |
-0.2 |
-1.8 |
30.4 |
$374.9M |
29.9 |
-26.0 |
3.32 |
3.05 |
— |
— |
| Z-score |
-1.51 |
0.79 |
-0.17 |
-0.14 |
1.09 |
1.97 |
0.85 |
-1.60 |
1.82 |
1.41 |
— |
— |
| tNERD |
-1.51 |
0.79 |
-0.17 |
-0.14 |
1.09 |
0.00 |
0.00 |
0.00 |
0.91 |
0.70 |
4.00 |
5.67 |
Bryce Elder, Atlanta Braves
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
94 |
9.4% |
63.1% |
92.0 mph |
27 |
16.6s |
-30 |
0.0% |
— |
— |
| Z-score |
-0.31 |
-0.52 |
-0.26 |
-1.02 |
-0.49 |
-1.92 |
— |
— |
— |
— |
| pNERD |
0.61 |
-0.26 |
-0.13 |
0.00 |
0.49 |
0.96 |
0.00 |
0.00 |
3.80 |
5.47 |
Freddy Peralta, New York Mets
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
94 |
11.8% |
61.3% |
93.9 mph |
30 |
18.0s |
7 |
0.0% |
— |
— |
| Z-score |
-0.31 |
0.58 |
-0.97 |
-0.12 |
0.29 |
-0.76 |
— |
— |
— |
— |
| pNERD |
0.61 |
0.29 |
-0.49 |
0.00 |
0.00 |
0.38 |
0.35 |
0.00 |
3.80 |
4.95 |
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San Diego Padres @ Baltimore Orioles, 10:35a
Summary
If you like baseball that leans on defense and bullpen depth rather than ace dominance, this one’s worth a glance: San Diego’s high tNERD (8.76) and excellent fielding/bullpen profile set the stage for a game where runs may come later rather than early, while the pitching matchup is more volatile than elite. Walker Buehler (3-3, ~4.33) vs. Trevor Rogers (3-6, ~6.15) is the official billing; both are listed as the probables and bring very different underlying profiles to Camden Yards. The gNERD (11.18) sits a bit above both today’s average and the historical median, driven mostly by San Diego’s team strengths — heavy fielding and a stout bullpen — and the Orioles’ middling defensive profile. Buehler’s peripherals (respectable xFIP-) suggest he’s better than his surface results, but his chase/swing-miss data have been lacking lately, and recent starts show some inconsistency. Rogers carries a rough xFIP and ERA this year but has at least one memorable dominant outing against Baltimore in his past, a reminder that he can flash upside. Add in the O’s lineup shuffling (Adley Rutschman’s hamstring activity recently noted), and you get a game where the Padres’ structural advantages make it watchable even if the starters aren’t lights-out — expect a middling, potentially late-breaking contest.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4.)
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 |
-38.0 |
8.6% |
1.7 |
18.7 |
40.3 |
$255.5M |
29.9 |
-20.0 |
3.47 |
3.37 |
— |
— |
| Z-score |
-1.45 |
0.39 |
0.43 |
1.58 |
1.71 |
0.60 |
0.85 |
-1.23 |
2.12 |
2.09 |
— |
— |
| tNERD |
-1.45 |
0.39 |
0.43 |
1.58 |
1.71 |
0.00 |
0.00 |
0.00 |
1.06 |
1.04 |
4.00 |
8.76 |
Baltimore Orioles
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
16.3 |
8.6% |
-0.6 |
-9.7 |
21.0 |
$214.8M |
29.0 |
-5.0 |
2.82 |
2.10 |
— |
— |
| Z-score |
0.66 |
0.39 |
-0.30 |
-0.81 |
0.50 |
0.14 |
-0.02 |
-0.31 |
0.85 |
-0.61 |
— |
— |
| tNERD |
0.66 |
0.39 |
-0.30 |
-0.81 |
0.50 |
0.00 |
0.02 |
0.00 |
0.42 |
0.00 |
4.00 |
4.88 |
Walker Buehler, San Diego Padres
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
93 |
7.4% |
62.3% |
94.1 mph |
31 |
18.0s |
15 |
0.0% |
— |
— |
| Z-score |
-0.36 |
-1.44 |
-0.57 |
-0.03 |
0.54 |
-0.76 |
— |
— |
— |
— |
| pNERD |
0.73 |
-0.72 |
-0.28 |
0.00 |
0.00 |
0.38 |
0.75 |
0.00 |
3.80 |
4.65 |
Trevor Rogers, Baltimore Orioles
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
117 |
10.2% |
67.5% |
93.2 mph |
28 |
18.0s |
32 |
0.0% |
— |
— |
| Z-score |
1.01 |
-0.15 |
1.50 |
-0.45 |
-0.23 |
-0.76 |
— |
— |
— |
— |
| pNERD |
-2.02 |
-0.08 |
0.75 |
0.00 |
0.23 |
0.38 |
1.00 |
0.00 |
3.80 |
4.06 |
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Texas Rangers @ Boston Red Sox, 4:20p
Summary
Watch if you like a classic contrast: a veteran swing‑and‑miss artist in Nathan Eovaldi squaring off against a polished young lefty in Connelly Early — the former’s high pNERD lifts the game above average even though the teams’ profiles push it toward a pitchers’ duel. MLB previews list Eovaldi and Early as the probables and frame this as a matchup between Eovaldi’s chase-and-whiff arsenal and Early’s budding command.
The gNERD (10.95) is slightly above both today’s mean and the historical mean, driven mostly by Eovaldi’s strong pNERD (7.32): his swinging‑strike and strike‑rate gains this year make him a legitimate strikeout watch (Statcast/FanGraphs profiles show elevated whiff/CSW marks and a dangerous splitter). Connelly Early (pNERD 4.66) is younger and less flashy but carries upside—he’s established himself in Boston’s rotation and has produced high‑leverage strikeout outings this season per his MLB/BRef page.
Team NERDs tilt slightly toward Boston (5.57 vs Texas 4.36) because of Boston’s strong defense and bullpen profile versus Texas’s offensive limitations and elevated “luck” component; that suggests a low-to-moderate scoring game where Eovaldi’s ability to generate misses could decide watchability more than park electricity.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4.)
Recommended broadcasts: TV, Boston Red Sox (2.47); radio, Boston Red Sox (2.64)
Texas Rangers
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-9.8 |
7.6% |
-0.9 |
2.5 |
17.9 |
$201.9M |
30.3 |
16.0 |
2.01 |
2.08 |
— |
— |
| Z-score |
-0.35 |
-0.41 |
-0.39 |
0.22 |
0.30 |
-0.01 |
1.17 |
0.98 |
-0.74 |
-0.65 |
— |
— |
| tNERD |
-0.35 |
-0.41 |
-0.39 |
0.22 |
0.30 |
0.01 |
0.00 |
0.98 |
0.00 |
0.00 |
4.00 |
4.36 |
Boston Red Sox
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-28.1 |
7.1% |
1.7 |
17.6 |
20.1 |
$263.6M |
29.2 |
12.0 |
2.47 |
2.64 |
— |
— |
| Z-score |
-1.06 |
-0.80 |
0.43 |
1.49 |
0.44 |
0.70 |
0.17 |
0.73 |
0.16 |
0.54 |
— |
— |
| tNERD |
-1.06 |
-0.80 |
0.43 |
1.49 |
0.44 |
0.00 |
0.00 |
0.73 |
0.08 |
0.27 |
4.00 |
5.57 |
Nathan Eovaldi, Texas Rangers
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
85 |
14.4% |
67.3% |
94.1 mph |
36 |
20.4s |
18 |
0.0% |
— |
— |
| Z-score |
-0.82 |
1.78 |
1.40 |
-0.03 |
1.84 |
1.23 |
— |
— |
— |
— |
| pNERD |
1.64 |
0.89 |
0.70 |
0.00 |
0.00 |
-0.61 |
0.90 |
0.00 |
3.80 |
7.32 |
Connelly Early, Boston Red Sox
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
100 |
9.5% |
64.2% |
93.4 mph |
24 |
19.4s |
-25 |
0.0% |
— |
— |
| Z-score |
0.04 |
-0.48 |
0.20 |
-0.36 |
-1.27 |
0.40 |
— |
— |
— |
— |
| pNERD |
-0.08 |
-0.24 |
0.10 |
0.00 |
1.27 |
-0.20 |
0.00 |
0.00 |
3.80 |
4.66 |
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St. Louis Cardinals @ Minnesota Twins, 11:10a
Summary
This is a watchable mismatch that still offers real pitching theater: St. Louis brings a younger, fundamentally strong club while Minnesota sends a hard-throwing starter who can rack up whiffs — expect tidy innings, not a slugfest. Michael McGreevy arrives with a tidy 2.99-ish season and a headline-making six no-hit innings earlier in the year, the kind of contact-management arm that plays well behind the Cardinals’ above-average fielding and baserunning; his pNERD is solid but unspectacular. Taj Bradley’s edge is pure electricity — mid-to-upper-90s heater and a strikeout profile that lifts his pNERD above McGreevy’s, so the Twins remain watchable when he’s on. The team split in tNERD is the headline: STL’s 8.29 (young, good defense, positive baserunning) versus MIN’s 2.09 (weak defense, limited baserunning), so the game’s intrigue comes from pitcher-versus-lineup matchups rather than back-and-forth offense. Recent previews and injury chatter suggest Minnesota’s lineup availability and depth are shaky, which lowers long-term suspense. A gNERD of ~10 places this near an average, solid viewing choice for fans who like pitching battles and mismatch dynamics rather than instant fireworks.
(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, St. Louis Cardinals (2.15)
St. Louis Cardinals
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
14.7 |
7.9% |
2.6 |
10.8 |
1.0 |
$111.2M |
26.9 |
0.0 |
2.17 |
2.15 |
— |
— |
| Z-score |
0.60 |
-0.17 |
0.72 |
0.92 |
-0.76 |
-1.05 |
-1.94 |
-0.00 |
-0.43 |
-0.50 |
— |
— |
| tNERD |
0.60 |
-0.17 |
0.72 |
0.92 |
-0.76 |
1.05 |
1.94 |
0.00 |
0.00 |
0.00 |
4.00 |
8.29 |
Minnesota Twins
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-3.7 |
8.5% |
-3.0 |
-13.2 |
-1.8 |
$122.1M |
28.9 |
-13.0 |
2.30 |
2.06 |
— |
— |
| Z-score |
-0.12 |
0.31 |
-1.06 |
-1.10 |
-0.93 |
-0.92 |
-0.06 |
-0.80 |
-0.17 |
-0.69 |
— |
— |
| tNERD |
-0.12 |
0.31 |
-1.06 |
-1.10 |
-0.93 |
0.92 |
0.06 |
0.00 |
0.00 |
0.00 |
4.00 |
2.09 |
Michael McGreevy, St. Louis Cardinals
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
96 |
8.1% |
61.7% |
91.0 mph |
25 |
19.3s |
-23 |
0.0% |
— |
— |
| Z-score |
-0.19 |
-1.12 |
-0.80 |
-1.49 |
-1.01 |
0.32 |
— |
— |
— |
— |
| pNERD |
0.38 |
-0.56 |
-0.40 |
0.00 |
1.01 |
-0.16 |
0.00 |
0.00 |
3.80 |
4.07 |
Taj Bradley, Minnesota Twins
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
98 |
11.2% |
61.9% |
96.8 mph |
25 |
19.6s |
-3 |
0.0% |
— |
— |
| Z-score |
-0.08 |
0.31 |
-0.73 |
1.24 |
-1.01 |
0.56 |
— |
— |
— |
— |
| pNERD |
0.15 |
0.15 |
-0.36 |
1.24 |
1.01 |
-0.28 |
0.00 |
0.00 |
3.80 |
5.71 |
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New York Yankees @ Toronto Blue Jays, 10:37a
Summary
This one’s worth tuning into if you want Yankees offense vs. a veteran-left at a crossroads: New York’s lineup profile and Will Warren’s tidy peripherals give the game more spark than the modest gNERD (9.86) implies. The Yankees’ very high tNERD (8.74) comes through in explosive batting runs and barrel rate, so you should expect traffic on the bases and loud contact; Will Warren (pNERD 5.34) pairs that lineup with above-average underlying stuff—his xFIP and Statcast profile suggest he’s been getting the job done beyond simple ERA alone. Patrick Corbin (pNERD 2.08) is the counterpoint: a veteran who was signed to help Toronto’s thin rotation and has shown worse peripherals (higher xFIP) and a noticeable dip in swing-and-miss and velocity, which explains his lower pNERD and makes him vulnerable to New York’s barrels. The Blue Jays bring some defensive value and a competent bullpen, but their weak offensive tNERD (3.56) means this shapes up as Yankees-favored, pitcher-matchup-driven entertainment rather than a back-and-forth slugfest; if you care about strikeout/whiff-based pitching duels, this isn’t it, but for hard contact and lineup firepower, it’s worth watching.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)
Recommended broadcasts: TV, Toronto Blue Jays (3.10); radio, Toronto Blue Jays (2.39)
New York Yankees
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
37.9 |
10.0% |
3.4 |
1.0 |
23.9 |
$337.1M |
29.9 |
-6.0 |
2.08 |
2.22 |
— |
— |
| Z-score |
1.49 |
1.50 |
0.97 |
0.09 |
0.68 |
1.54 |
0.85 |
-0.37 |
-0.61 |
-0.36 |
— |
— |
| tNERD |
1.49 |
1.50 |
0.97 |
0.09 |
0.68 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
4.00 |
8.74 |
Toronto Blue Jays
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-13.6 |
6.6% |
-3.4 |
5.7 |
25.3 |
$306.1M |
30.1 |
8.0 |
3.10 |
2.39 |
— |
— |
| Z-score |
-0.50 |
-1.20 |
-1.18 |
0.49 |
0.77 |
1.18 |
0.99 |
0.49 |
1.40 |
0.01 |
— |
— |
| tNERD |
-0.50 |
-1.20 |
-1.18 |
0.49 |
0.77 |
0.00 |
0.00 |
0.49 |
0.70 |
0.00 |
4.00 |
3.56 |
Will Warren, New York Yankees
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
85 |
9.5% |
62.9% |
93.6 mph |
27 |
19.4s |
-3 |
0.0% |
— |
— |
| Z-score |
-0.82 |
-0.48 |
-0.31 |
-0.27 |
-0.49 |
0.40 |
— |
— |
— |
— |
| pNERD |
1.64 |
-0.24 |
-0.15 |
0.00 |
0.49 |
-0.20 |
0.00 |
0.00 |
3.80 |
5.34 |
Patrick Corbin, Toronto Blue Jays
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
111 |
8.6% |
61.9% |
91.3 mph |
36 |
17.9s |
-2 |
0.0% |
— |
— |
| Z-score |
0.67 |
-0.89 |
-0.73 |
-1.35 |
1.84 |
-0.84 |
— |
— |
— |
— |
| pNERD |
-1.34 |
-0.44 |
-0.36 |
0.00 |
0.00 |
0.42 |
0.00 |
0.00 |
3.80 |
2.08 |
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Seattle Mariners @ Washington Nationals, 10:35a
Summary
Watch if you want to see a legitimate young starter carry a game; skip if you need a guaranteed slugfest. Emerson Hancock is the real reason this looks interesting on paper—his high pNERD (6.51) lines up with a solid xFIP- (86), 95 mph juice and steady strike metrics, so you can expect a quality, pitch-first outing.
That upside is muted by the rest of the slate: the overall gNERD of 8.09 sits below both today’s game average (≈10.6) and the historical median, so this is more “polished start” than must-see fireworks. The Nationals bring a surprisingly strong tNERD (7.41) thanks to good baserunning and barrel rates, but their bullpen is a glaring negative (-2.08 component), meaning late-inning volatility or quick hooks if Poulin stumbles. Poulin’s pNERD (-2.94) is driven by a rough xFIP- (132), almost no whiff rate and very slow pace; he’s often used as an opener for Washington, so his leash could be short.
Bottom line: you’ll get pitcher-focused watching—Hancock’s outing and the Nationals’ baserunning quirks—if you don’t need a high-scoring thriller.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)
Recommended broadcasts: TV, Seattle Mariners (2.35); radio, Seattle Mariners (2.52)
Seattle Mariners
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
22.8 |
8.5% |
-2.3 |
-12.6 |
16.6 |
$196.7M |
28.4 |
15.0 |
2.35 |
2.52 |
— |
— |
| Z-score |
0.91 |
0.31 |
-0.83 |
-1.05 |
0.22 |
-0.07 |
-0.52 |
0.91 |
-0.07 |
0.28 |
— |
— |
| tNERD |
0.91 |
0.31 |
-0.83 |
-1.05 |
0.22 |
0.07 |
0.52 |
0.91 |
0.00 |
0.14 |
4.00 |
5.20 |
Washington Nationals
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
20.4 |
8.9% |
5.1 |
-2.3 |
-20.1 |
$114.5M |
27.1 |
-39.0 |
2.00 |
2.20 |
— |
— |
| Z-score |
0.82 |
0.63 |
1.51 |
-0.19 |
-2.08 |
-1.01 |
-1.71 |
-2.39 |
-0.75 |
-0.40 |
— |
— |
| tNERD |
0.82 |
0.63 |
1.51 |
-0.19 |
-2.08 |
1.01 |
1.71 |
0.00 |
0.00 |
0.00 |
4.00 |
7.41 |
Emerson Hancock, Seattle Mariners
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
86 |
10.8% |
64.5% |
95.0 mph |
27 |
18.7s |
-16 |
0.0% |
— |
— |
| Z-score |
-0.76 |
0.12 |
0.30 |
0.39 |
-0.49 |
-0.18 |
— |
— |
— |
— |
| pNERD |
1.53 |
0.06 |
0.15 |
0.39 |
0.49 |
0.09 |
0.00 |
0.00 |
3.80 |
6.51 |
PJ Poulin, Washington Nationals
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
132 |
5.7% |
60.2% |
89.6 mph |
29 |
21.8s |
-55 |
0.0% |
— |
— |
| Z-score |
1.87 |
-2.22 |
-1.39 |
-2.15 |
0.03 |
2.38 |
— |
— |
— |
— |
| pNERD |
-3.74 |
-1.11 |
-0.69 |
0.00 |
0.00 |
-1.19 |
0.00 |
0.00 |
3.80 |
-2.94 |
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Arizona Diamondbacks @ Cincinnati Reds, 10:40a
Summary
Not must-see TV — gNERD 7.19 sits below today’s mean and the matchup is driven more by small curiosities than by fireworks. Still, there’s a thread of interest: Zac Gallen’s underlying profile and recent luck suggest he could be better than his surface numbers, while Andrew Abbott’s recent stretch makes the early innings worth a glance. The low overall watchability comes from both teams’ tepid tNERDs (Arizona’s offense is lethargic while Cincinnati’s is only modestly better), and the starters’ pNERDs are underwhelming compared with the day’s top games; Arizona’s fielding is a genuine positive and the Reds’ barrel rate gives them some pop, but Cincinnati’s bullpen has been an ongoing liability and could sap late-game excitement. Gallen’s positive luck component implies regression toward better results if his peripherals normalize, but his swing‑and‑miss numbers and xFIP aren’t glowing, so he’s a “watch for adjustment” arm. Abbott has shown quality in recent outings even if his xFIP paints a tougher picture, so catch the first five innings if you want pitcher chess 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, Arizona Diamondbacks (2.19); radio, Cincinnati Reds (2.11)
Arizona Diamondbacks
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-26.5 |
7.0% |
2.3 |
15.5 |
16.2 |
$231.6M |
30.2 |
-13.0 |
2.19 |
1.92 |
— |
— |
| Z-score |
-1.00 |
-0.88 |
0.62 |
1.31 |
0.19 |
0.33 |
1.08 |
-0.80 |
-0.39 |
-0.99 |
— |
— |
| tNERD |
-1.00 |
-0.88 |
0.62 |
1.31 |
0.19 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
4.00 |
4.24 |
Cincinnati Reds
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-24.0 |
10.1% |
1.1 |
-3.7 |
-13.7 |
$147.4M |
28.0 |
10.0 |
2.09 |
2.11 |
— |
— |
| Z-score |
-0.90 |
1.58 |
0.24 |
-0.30 |
-1.68 |
-0.63 |
-0.94 |
0.61 |
-0.59 |
-0.59 |
— |
— |
| tNERD |
-0.90 |
1.58 |
0.24 |
-0.30 |
-1.68 |
0.63 |
0.94 |
0.61 |
0.00 |
0.00 |
4.00 |
5.11 |
Zac Gallen, Arizona Diamondbacks
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
110 |
8.7% |
63.7% |
93.5 mph |
30 |
18.7s |
19 |
0.0% |
— |
— |
| Z-score |
0.61 |
-0.84 |
-0.01 |
-0.31 |
0.29 |
-0.18 |
— |
— |
— |
— |
| pNERD |
-1.22 |
-0.42 |
-0.01 |
0.00 |
0.00 |
0.09 |
0.95 |
0.00 |
3.80 |
3.19 |
Andrew Abbott, Cincinnati Reds
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
118 |
9.1% |
62.7% |
92.8 mph |
27 |
18.4s |
-24 |
0.0% |
— |
— |
| Z-score |
1.07 |
-0.66 |
-0.41 |
-0.64 |
-0.49 |
-0.43 |
— |
— |
— |
— |
| pNERD |
-2.14 |
-0.33 |
-0.21 |
0.00 |
0.49 |
0.21 |
0.00 |
0.00 |
3.80 |
1.83 |
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Tampa Bay Rays @ Los Angeles Angels, 1:07p
Summary
Not a must-watch: a gNERD of 6.70 (well below the historical mean of 10.11 and today's average ~10.6) and two extremely low tNERDs mean this is more background noise than prime-time drama. Still, it’s worth a glance for one reason — Grayson Rodriguez’s profile suggests better underlying stuff than his surface results, and the Rays’ new acquisition on the bump adds a tiny narrative hook.
Both teams score poorly on the NERD team side (Rays 2.20, Angels 1.17), which matches the stat-sheet picture: an offense-lite Rays and an Angels club with big barrels but brutal defense and baserunning, so don’t expect a tidy, high-quality duel. Grayson (pNERD 5.02) carries above-average velocity and a huge positive luck signal (suggesting some underperformance to correct), but his swinging-strike and xFIP components aren’t persuasive — a boom-or-bust watch. Casey Legumina’s pNERD is 0 because there aren’t usable pitcher-level stats in this dataset; he’s a recent Rays pickup from April and represents an unknown bullpen/spot-start variable. Recent coverage notes Jo Adell’s hot bat for the Angels and the listed probables for the matchup.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1.)
Recommended broadcasts: TV, Los Angeles Angels (2.59); radio, Tampa Bay Rays (2.10)
Tampa Bay Rays
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
0.6 |
5.2% |
2.8 |
-12.0 |
-0.2 |
$106.9M |
29.1 |
7.0 |
2.27 |
2.10 |
— |
— |
| Z-score |
0.05 |
-2.31 |
0.78 |
-1.00 |
-0.83 |
-1.10 |
0.07 |
0.42 |
-0.23 |
-0.61 |
— |
— |
| tNERD |
0.05 |
-2.31 |
0.78 |
-1.00 |
-0.83 |
1.10 |
0.00 |
0.42 |
0.00 |
0.00 |
4.00 |
2.20 |
Los Angeles Angels
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-9.4 |
9.4% |
-4.5 |
-20.6 |
-2.4 |
$191.6M |
28.6 |
-6.0 |
2.59 |
2.01 |
— |
— |
| Z-score |
-0.34 |
1.03 |
-1.53 |
-1.72 |
-0.97 |
-0.13 |
-0.39 |
-0.37 |
0.40 |
-0.80 |
— |
— |
| tNERD |
-0.34 |
1.03 |
-1.53 |
-1.72 |
-0.97 |
0.13 |
0.39 |
0.00 |
0.20 |
0.00 |
4.00 |
1.17 |
Casey Legumina, Tampa Bay Rays
No detailed stats available
Grayson Rodriguez, Los Angeles Angels
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
110 |
8.7% |
62.7% |
96.4 mph |
26 |
18.3s |
81 |
0.0% |
— |
— |
| Z-score |
0.61 |
-0.84 |
-0.40 |
1.05 |
-0.75 |
-0.51 |
— |
— |
— |
— |
| pNERD |
-1.22 |
-0.42 |
-0.20 |
1.05 |
0.75 |
0.26 |
1.00 |
0.00 |
3.80 |
5.02 |
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Houston Astros @ Kansas City Royals, 11:10a
Summary
Not a can’t-miss marquee matchup — it’s a low-key pitchers’ contrast with one plausible narrative: Stephen Kolek looks like the steadier hand while Spencer Arrighetti arrives with warning lights. The gNERD of 6.34 sits well below both the historical mean (≈10.1) and today’s average, so this is a game you’d watch more for specific storylines than for back-and-forth fireworks. Team NERDs are weak on both sides: Houston’s offense shows quality batted‑ball (barrel rate, batting runs) but dreadful baserunning and a shaky bullpen, while Kansas City pairs strong fielding and a surprisingly large positive Luck (15.0 → they’ve been underperforming and could swing better than their numbers suggest). Pitcher NERDs tell the tale: Kolek (4.86) profiles as the more useful watch — sub‑100 xFIP‑ (91) and coming off a May 23 complete‑game shutout — whereas Arrighetti’s pNERD (0.97) is dragged down by a high xFIP‑ (117), low chase/whiff rates and a couple rough recent starts. If you want low variance and a study in process (can Kolek eat innings; will KC’s “luck” flip?), tune in; don’t expect a barnburner.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1.)
Recommended broadcasts: TV, Houston Astros (2.17); radio, Kansas City Royals (2.22)
Houston Astros
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
13.1 |
8.8% |
-2.7 |
-1.6 |
-3.8 |
$232.7M |
28.9 |
2.0 |
2.17 |
1.99 |
— |
— |
| Z-score |
0.53 |
0.55 |
-0.96 |
-0.13 |
-1.06 |
0.34 |
-0.16 |
0.12 |
-0.42 |
-0.84 |
— |
— |
| tNERD |
0.53 |
0.55 |
-0.96 |
-0.13 |
-1.06 |
0.00 |
0.16 |
0.12 |
0.00 |
0.00 |
4.00 |
3.21 |
Kansas City Royals
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-28.2 |
8.3% |
2.2 |
8.0 |
-16.1 |
$184.5M |
29.7 |
15.0 |
2.11 |
2.22 |
— |
— |
| Z-score |
-1.07 |
0.15 |
0.59 |
0.68 |
-1.83 |
-0.21 |
0.62 |
0.91 |
-0.54 |
-0.36 |
— |
— |
| tNERD |
-1.07 |
0.15 |
0.59 |
0.68 |
-1.83 |
0.21 |
0.00 |
0.91 |
0.00 |
0.00 |
4.00 |
3.65 |
Spencer Arrighetti, Houston Astros
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
117 |
9.7% |
60.3% |
92.5 mph |
26 |
20.6s |
-64 |
0.0% |
— |
— |
| Z-score |
1.01 |
-0.38 |
-1.35 |
-0.78 |
-0.75 |
1.39 |
— |
— |
— |
— |
| pNERD |
-2.02 |
-0.19 |
-0.67 |
0.00 |
0.75 |
-0.70 |
0.00 |
0.00 |
3.80 |
0.97 |
Stephen Kolek, Kansas City Royals
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
91 |
8.9% |
64.2% |
93.9 mph |
29 |
18.0s |
-18 |
0.0% |
— |
— |
| Z-score |
-0.48 |
-0.75 |
0.20 |
-0.12 |
0.03 |
-0.76 |
— |
— |
— |
— |
| pNERD |
0.95 |
-0.38 |
0.10 |
0.00 |
0.00 |
0.38 |
0.00 |
0.00 |
3.80 |
4.86 |
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Colorado Rockies @ Athletics, 12:05p
Summary
Low gNERD (5.67) and glacial pitching profiles mean this is a low-priority watch: expect a slog where the A’s modest offensive edge and “positive luck” are the only real sources of late-game intrigue. The Rockies’ tNERD (2.04) is driven by a particularly bad offense (poor batting runs and barrel rate), while Oakland’s higher tNERD (6.93) is buoyed by a big positive Luck figure—meaning the A’s are underperforming their underlying numbers and could rebound, which is the main storyline to monitor. Tomoyuki Sugano’s pNERD is negative; he’s the veteran contact/command arm Colorado signed this winter rather than a swing-and-miss starter, and the metrics (low SwStr, high xFIP-) suggest limited upside for a high-leverage strikeout outing. Jeffrey Springs grades higher on pNERD and has been a middling but usable lefty for Oakland; he’s the likeliest source of length and a marginally more watchable matchup, but his stuff doesn’t scream strikeout parade. Overall: only tune in if you like methodical pitching battles with a possible late A’s surge—not highlight-reel baseball.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2.)
Recommended broadcasts: TV, Colorado Rockies (1.73); radio, Athletics (1.94)
Colorado Rockies
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
-42.3 |
6.6% |
-0.7 |
-5.1 |
16.4 |
$134.1M |
29.5 |
10.0 |
1.73 |
1.80 |
— |
— |
| Z-score |
-1.61 |
-1.20 |
-0.33 |
-0.42 |
0.21 |
-0.79 |
0.44 |
0.61 |
-1.29 |
-1.25 |
— |
— |
| tNERD |
-1.61 |
-1.20 |
-0.33 |
-0.42 |
0.21 |
0.79 |
0.00 |
0.61 |
0.00 |
0.00 |
4.00 |
2.04 |
Athletics
|
Batting |
Barrel% |
BaseR |
Fielding |
Bullpen |
Payroll |
Age |
Luck |
TV |
Radio |
C |
Total |
| Raw stat |
11.0 |
8.7% |
-2.5 |
-11.3 |
22.6 |
$135.2M |
28.2 |
29.0 |
1.27 |
1.94 |
— |
— |
| Z-score |
0.45 |
0.47 |
-0.90 |
-0.94 |
0.60 |
-0.77 |
-0.71 |
1.77 |
-2.19 |
-0.95 |
— |
— |
| tNERD |
0.45 |
0.47 |
-0.90 |
-0.94 |
0.60 |
0.77 |
0.71 |
1.77 |
0.00 |
0.00 |
4.00 |
6.93 |
Tomoyuki Sugano, Colorado Rockies
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
120 |
7.3% |
61.1% |
92.3 mph |
36 |
20.8s |
-34 |
0.0% |
— |
— |
| Z-score |
1.18 |
-1.49 |
-1.03 |
-0.88 |
1.84 |
1.56 |
— |
— |
— |
— |
| pNERD |
-2.37 |
-0.74 |
-0.52 |
0.00 |
0.00 |
-0.78 |
0.00 |
0.00 |
3.80 |
-0.61 |
Jeffrey Springs, Athletics
|
xFIP- |
SwStr% |
Strike% |
Velocity |
Age |
Pace |
Luck |
KN% |
C |
Total |
| Raw stat |
105 |
9.3% |
64.5% |
91.5 mph |
33 |
19.5s |
4 |
0.0% |
— |
— |
| Z-score |
0.32 |
-0.57 |
0.29 |
-1.26 |
1.06 |
0.48 |
— |
— |
— |
— |
| pNERD |
-0.65 |
-0.28 |
0.15 |
0.00 |
0.00 |
-0.24 |
0.20 |
0.00 |
3.80 |
2.97 |
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