MLB: What to watch on August 26, 2025
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 @ New York Mets, 4:10p
Summary
Today’s top-shelf watchability pick pits the Mets’ barrel parade against a 96-mph lefty who just blanked them earlier this summer. With Zack Wheeler out for the year, this is also a Luzardo-as-bellwether litmus test for Philly’s October plans.
At gNERD 18.33, this sits at the very top of today’s slate and well into the historic elite, and the reasons are obvious: pNERD loves Jesús Luzardo (9.38) for the power/whiff/tempo combo, and he recently spun 6 2/3 scoreless vs. New York; Sean Manaea (7.29) brings command and pace but has battled late-start fade, with the Mets dropping his last five turns. The lineup side juices tNERD: the Mets’ bats (11.82) have been a top barrel-and-baserunning watch, while Philly (8.16) mixes real baserunning value with star thump. If you prefer names to numbers, think Schwarber/Turner/Harper versus Soto/Alonso/Nimmo, with Soto leading the Mets in homers and Alonso the RBI drumbeat.
Narratively, Wheeler’s thoracic outlet surgery raises Luzardo’s importance from nice-to-have to tone-setter for a rotation now leaning on Sánchez/Suárez/Nola behind him. That real-world stress layered onto a strength-versus-strength matchup is precisely what makes this one pop.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6.)
Recommended broadcast: New York Mets (3.32 rating)
Philadelphia Phillies
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 40.2 | 8.8% | 7.9 | 4.3 | 24.7 | $279.5M | 29.5 | 17.0 | 2.92 | — | — |
Z-score | 0.73 | 0.22 | 1.26 | 0.22 | -0.12 | 1.43 | 0.79 | 0.82 | 1.03 | — | — |
tNERD | 0.73 | 0.22 | 1.26 | 0.22 | -0.12 | 0.00 | 0.00 | 0.82 | 1.03 | 4.00 | 8.16 |
New York Mets
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 68.5 | 10.4% | 6.4 | 5.3 | 38.5 | $332.0M | 29.7 | 27.0 | 3.32 | — | — |
Z-score | 1.23 | 1.53 | 1.00 | 0.28 | 0.66 | 2.14 | 1.00 | 1.31 | 1.82 | — | — |
tNERD | 1.23 | 1.53 | 1.00 | 0.28 | 0.66 | 0.00 | 0.00 | 1.31 | 1.82 | 4.00 | 11.82 |
Jesús Luzardo, Philadelphia Phillies
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 80 | 13.5% | 64.6% | 96.3 mph | 27 | 17.0s | 16 | 0.0% | — | — |
Z-score | -1.25 | 1.44 | 0.24 | 1.12 | -0.44 | -1.25 | — | — | — | — |
pNERD | 2.51 | 0.72 | 0.12 | 1.12 | 0.44 | 0.62 | 0.05 | 0.00 | 3.80 | 9.38 |
Sean Manaea, New York Mets
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 88 | 11.2% | 68.2% | 91.6 mph | 33 | 16.5s | 39 | 0.0% | — | — |
Z-score | -0.77 | 0.32 | 1.82 | -1.01 | 1.11 | -1.65 | — | — | — | — |
pNERD | 1.54 | 0.16 | 0.91 | 0.00 | 0.00 | 0.83 | 0.05 | 0.00 | 3.80 | 7.29 |
Arizona Diamondbacks @ Milwaukee Brewers, 4:40p
Summary
A 100-mph upstart versus a playoff-grade lineup is a fine excuse to find the remote. Misiorowski’s gas plus Milwaukee’s madcap baserunning against Arizona’s lively bats and leaky bullpen makes for tense, swing-heavy viewing.
At a 15.23 gNERD, this sits above the 95th percentile of historic games here, and today’s inputs explain why: Misiorowski’s pNERD (10.73) leads the slate and his xFIP- (77) plus 99 mph heat promise whiffs and weak contact, with reports noting he lives at triple digits and is already racking 100+ mph pitches at a Greene-adjacent clip. Pfaadt (pNERD 4.42; xFIP- 99) is steadier than splashy and coming off 7 efficient innings last time out, but his contact profile can get loud, which Arizona’s defense will need to help manage. The Brewers’ tNERD (9.73) is buoyed by elite run game and run prevention—think top-tier steals and a deep bullpen—while the D-backs bring top-10 bats but a bullpen that adds late drama. Milwaukee is dinged by absences (e.g., Chourio, Hoskins), yet Yelich’s August heater keeps the lineup dangerous.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6.)
Recommended broadcast: Milwaukee Brewers (2.66 rating)
Arizona Diamondbacks
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 58.3 | 9.1% | 5.9 | 8.7 | -4.8 | $189.5M | 29.5 | 10.0 | 2.19 | — | — |
Z-score | 1.05 | 0.47 | 0.92 | 0.45 | -1.79 | 0.22 | 0.79 | 0.48 | -0.39 | — | — |
tNERD | 1.05 | 0.47 | 0.92 | 0.45 | -1.79 | 0.00 | 0.00 | 0.48 | 0.00 | 4.00 | 5.57 |
Milwaukee Brewers
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 44.6 | 6.4% | 13.4 | 21.2 | 42.7 | $112.2M | 27.6 | -41.0 | 2.66 | — | — |
Z-score | 0.81 | -1.74 | 2.18 | 1.09 | 0.90 | -0.82 | -1.14 | -1.99 | 0.53 | — | — |
tNERD | 0.81 | -1.74 | 2.18 | 1.09 | 0.90 | 0.82 | 1.14 | 0.00 | 0.53 | 4.00 | 9.73 |
Brandon Pfaadt, Arizona Diamondbacks
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 99 | 9.4% | 64.9% | 93.5 mph | 26 | 19.2s | 17 | 0.0% | — | — |
Z-score | -0.11 | -0.56 | 0.38 | -0.15 | -0.70 | 0.51 | — | — | — | — |
pNERD | 0.22 | -0.28 | 0.19 | 0.00 | 0.70 | -0.26 | 0.05 | 0.00 | 3.80 | 4.42 |
Jacob Misiorowski, Milwaukee Brewers
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 77 | 13.4% | 65.8% | 99.3 mph | 23 | 19.9s | 24 | 0.0% | — | — |
Z-score | -1.43 | 1.39 | 0.77 | 2.48 | -1.47 | 1.08 | — | — | — | — |
pNERD | 2.87 | 0.70 | 0.39 | 2.00 | 1.47 | -0.54 | 0.05 | 0.00 | 3.80 | 10.73 |
San Diego Padres @ Seattle Mariners, 6:40p
Summary
Cal Raleigh just joined the 50-homer club and Seattle’s division chase meets San Diego’s souped‑up, Miller‑boosted bullpen—this Vedder Cup installment actually has teeth. With a gNERD of 12.38—well above today’s average—two bat-missing righties plus late‑inning leverage make this a prime channel‑stick.
Cease’s 97 mph octane and above‑average run prevention indicators (second‑half K% 33%, August xFIP ~3.9) power his pNERD 7.65, a clear edge over Castillo’s 5.06. Seattle did add real thump—hello, Josh Naylor—and Raleigh’s milestone night set the tone, but Castillo arrives needing a clean reset after allowing 19 hits over his last 8 innings.
Castillo’s run suppression tends to travel poorly this year (home wOBA allowed .261 vs .353 away), so if Cease misses bats early, the Padres’ strongest watchability hook becomes their bullpen cavalry, now headlined by 101‑mph Mason Miller. Seattle’s bats still barrel better than league average, though, so there’s swing‑and‑miss theater on both sides.
Padres tNERD (7.31) leans on elite relief and a top broadcast; Mariners tNERD (4.74) rides power more than gloves. With Jackson Merrill on the IL and Seattle fresh off Raleigh’s history and a standings squeeze, this rates near the top tier for today.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10.)
Recommended broadcast: San Diego Padres (3.47 rating)
San Diego Padres
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 7.1 | 7.0% | -0.6 | -3.0 | 62.0 | $209.3M | 30.0 | 13.0 | 3.47 | — | — |
Z-score | 0.15 | -1.25 | -0.17 | -0.15 | 1.99 | 0.49 | 1.30 | 0.63 | 2.12 | — | — |
tNERD | 0.15 | -1.25 | -0.17 | -0.15 | 1.99 | 0.00 | 0.00 | 0.63 | 2.12 | 4.00 | 7.31 |
Seattle Mariners
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 54.1 | 9.4% | -2.0 | -19.6 | 15.7 | $152.8M | 28.2 | 6.0 | 2.35 | — | — |
Z-score | 0.97 | 0.71 | -0.41 | -1.00 | -0.63 | -0.27 | -0.53 | 0.29 | -0.07 | — | — |
tNERD | 0.97 | 0.71 | -0.41 | -1.00 | -0.63 | 0.27 | 0.53 | 0.29 | 0.00 | 4.00 | 4.74 |
Dylan Cease, San Diego Padres
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 86 | 15.4% | 63.3% | 97.1 mph | 29 | 19.8s | 30 | 0.0% | — | — |
Z-score | -0.89 | 2.37 | -0.31 | 1.48 | 0.08 | 1.00 | — | — | — | — |
pNERD | 1.78 | 1.19 | -0.16 | 1.48 | 0.00 | -0.50 | 0.05 | 0.00 | 3.80 | 7.65 |
Luis Castillo, Seattle Mariners
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 99 | 10.8% | 64.9% | 95.0 mph | 32 | 17.9s | -6 | 0.0% | — | — |
Z-score | -0.11 | 0.12 | 0.37 | 0.53 | 0.85 | -0.53 | — | — | — | — |
pNERD | 0.22 | 0.06 | 0.19 | 0.53 | 0.00 | 0.26 | 0.00 | 0.00 | 3.80 | 5.06 |
Atlanta Braves @ Miami Marlins, 3:40p
Summary
A rookie buzzsaw versus a rehabbing Cy Young is a fine way to spend nine innings. With a gNERD of 11.91, this leans pitching-first, and that’s mostly Hurston Waldrep’s doing.
Waldrep’s pNERD (10.09) sits near the top of the historical distribution, backed by a 76 xFIP- and mid‑90s heat, plus a brisk tempo that keeps the channel‑surfing impulse at bay; he just spun seven scoreless with seven Ks and is 4-0 across his first four turns, including 6 IP of one‑run ball against these Marlins. Sandy Alcantara’s name carries weight, his velocity is back, and he set season highs with nine strikeouts and 114 pitches his last time out, but the 2025 version has been more ordinary (xFIP- 106) even as the repertoire tweaks and heavy ground‑ball profile hint at upside if the slider behaves.
The team side is less electric (average tNERD 4.43): Miami’s youth bumps their score while both bullpens grade out as adventure‑prone, which quietly adds chaos equity late. Atlanta’s lineup is thinner with Austin Riley done for the year, though Sean Murphy’s return helps. If you like mound cat‑and‑mouse with a nonzero chance of late-inning weirdness, this rates above today’s average.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6.)
Recommended broadcast: Atlanta Braves (2.36 rating)
Atlanta Braves
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -8.6 | 8.9% | -5.3 | 5.5 | 8.4 | $216.2M | 29.4 | 12.0 | 2.36 | — | — |
Z-score | -0.13 | 0.30 | -0.96 | 0.29 | -1.05 | 0.58 | 0.69 | 0.58 | -0.05 | — | — |
tNERD | -0.13 | 0.30 | -0.96 | 0.29 | -1.05 | 0.00 | 0.00 | 0.58 | 0.00 | 4.00 | 3.03 |
Miami Marlins
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -25.6 | 8.1% | -1.8 | 4.9 | 13.7 | $67.3M | 26.8 | 2.0 | 1.79 | — | — |
Z-score | -0.43 | -0.35 | -0.38 | 0.26 | -0.75 | -1.42 | -1.96 | 0.10 | -1.17 | — | — |
tNERD | -0.43 | -0.35 | -0.38 | 0.26 | -0.75 | 1.42 | 1.96 | 0.10 | 0.00 | 4.00 | 5.83 |
Hurston Waldrep, Atlanta Braves
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 76 | 12.1% | 63.9% | 95.8 mph | 23 | 17.1s | -59 | 0.0% | — | — |
Z-score | -1.49 | 0.76 | -0.06 | 0.89 | -1.47 | -1.17 | — | — | — | — |
pNERD | 2.99 | 0.38 | -0.03 | 0.89 | 1.47 | 0.58 | 0.00 | 0.00 | 3.80 | 10.09 |
Sandy Alcantara, Miami Marlins
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 106 | 8.9% | 64.9% | 97.4 mph | 29 | 18.0s | 35 | 0.0% | — | — |
Z-score | 0.31 | -0.80 | 0.39 | 1.62 | 0.08 | -0.45 | — | — | — | — |
pNERD | -0.62 | -0.40 | 0.19 | 1.62 | 0.00 | 0.22 | 0.05 | 0.00 | 3.80 | 4.86 |
Tampa Bay Rays @ Cleveland Guardians, 3:40p
Summary
Shane Baz’s underlying ace act meets Parker Messick’s shiny new‑toy debut, with Cleveland’s bullpen ready to slam the door and Tampa Bay’s track team daring the Guardians’ battery to keep up. This grades as a “watch” because the stuff is loud, the stakes matter, and the unknowns are interesting.
The gNERD sits at 11.84, comfortably above today’s average, and the pNERD split explains why: Baz’s 6.45 reflects real bat‑missing traits — a mid‑to‑upper‑90s heater and a hard, two‑plane curve — that have produced elite expected results (xERA 2.44, .257 xwOBA, .177 xBA, 31.6% K%) even when the surface line wobbles. Messick’s 0.00 pNERD just means we lack a sample; his debut was anything but empty: 6.2 IP, 6 K, 1 ER with strike‑throwing and a legit changeup, the exact profile that can blunt Tampa Bay’s right‑handed thump. Team‑wise, Cleveland’s offense has lagged (bottom tier by wRC+), but its bullpen remains a strength, so runs early matter. That’s countered by a Rays club that leads MLB in steals, which inflates the “fun” quotient via pressure and chaos on the bases. Add it up: above‑par gNERD, a bat‑misser vs. a rookie with feel, and late‑inning reliever theater — worth a primary screen.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5.)
Recommended broadcast: Tampa Bay Rays (2.27 rating)
Tampa Bay Rays
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -7.2 | 7.6% | 10.3 | -30.5 | 38.5 | $89.9M | 27.4 | -15.0 | 2.27 | — | — |
Z-score | -0.10 | -0.76 | 1.66 | -1.56 | 0.66 | -1.12 | -1.35 | -0.73 | -0.23 | — | — |
tNERD | -0.10 | -0.76 | 1.66 | -1.56 | 0.66 | 1.12 | 1.35 | 0.00 | 0.00 | 4.00 | 6.36 |
Cleveland Guardians
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -86.7 | 6.6% | 5.6 | 17.3 | 44.4 | $102.3M | 27.5 | -28.0 | 2.16 | — | — |
Z-score | -1.50 | -1.58 | 0.87 | 0.89 | 0.99 | -0.95 | -1.25 | -1.36 | -0.44 | — | — |
tNERD | -1.50 | -1.58 | 0.87 | 0.89 | 0.99 | 0.95 | 1.25 | 0.00 | 0.00 | 4.00 | 5.87 |
Shane Baz, Tampa Bay Rays
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 93 | 11.4% | 65.2% | 96.9 mph | 26 | 20.8s | 33 | 0.0% | — | — |
Z-score | -0.47 | 0.42 | 0.51 | 1.39 | -0.70 | 1.80 | — | — | — | — |
pNERD | 0.94 | 0.21 | 0.26 | 1.39 | 0.70 | -0.90 | 0.05 | 0.00 | 3.80 | 6.45 |
Parker Messick, Cleveland Guardians
No detailed stats available
Chicago Cubs @ San Francisco Giants, 6:45p
Summary
A high-gear Cubs offense/defense meets a name-brand Giants headliner and a patched bullpen; contrast is the draw. Verlander’s milestone tour plus San Francisco’s season-long issues vs lefties turn a merely solid gNERD into a worthwhile check-in.
Probables are Matthew Boyd vs Justin Verlander, a tidy power-vs-guile matchup that our model pegs as mid-pack on the mound (avg pNERD 4.1), with Boyd (5.2) edging Verlander (3.0). Boyd’s watchability is skill-based: a better-than-average xFIP- (96) and command profile, now paired with a first All-Star nod that tracks with his run of quality starts. The matchup slants toward Chicago’s bats and gloves anyway: top-tier barrels, baserunning, and fielding drive a big tNERD edge, while the Giants have been among MLB’s worst vs lefties (.611 OPS/.212 AVG). Verlander remains appointment viewing for history—he crossed 3,500 career Ks this month—and he’s never taken a loss to the Cubs in the regular season, even if the underlying indicators now read more mortal. San Francisco also moved late-inning anchors Tyler Rogers and Camilo Doval at the deadline, thinning the finish if this stays tight. Given a gNERD of 10.96—above today’s average and our historical median—plus a surging Cubs club fresh off a sweep, this rates “click over during commercials” worthy.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6, 7, 8.)
Recommended broadcast: San Francisco Giants (3.20 rating)
Chicago Cubs
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 55.9 | 9.9% | 8.8 | 32.1 | 21.4 | $197.7M | 30.6 | -18.0 | 3.01 | — | — |
Z-score | 1.01 | 1.12 | 1.41 | 1.65 | -0.31 | 0.33 | 1.91 | -0.88 | 1.22 | — | — |
tNERD | 1.01 | 1.12 | 1.41 | 1.65 | -0.31 | 0.00 | 0.00 | 0.00 | 1.22 | 4.00 | 10.09 |
San Francisco Giants
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -31.5 | 7.4% | -6.9 | 8.4 | 31.5 | $195.3M | 29.3 | -4.0 | 3.20 | — | — |
Z-score | -0.53 | -0.92 | -1.23 | 0.43 | 0.26 | 0.30 | 0.59 | -0.20 | 1.59 | — | — |
tNERD | -0.53 | -0.92 | -1.23 | 0.43 | 0.26 | 0.00 | 0.00 | 0.00 | 1.59 | 4.00 | 3.60 |
Matthew Boyd, Chicago Cubs
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 96 | 10.5% | 67.7% | 93.2 mph | 34 | 18.5s | -32 | 0.0% | — | — |
Z-score | -0.29 | -0.02 | 1.61 | -0.29 | 1.37 | -0.05 | — | — | — | — |
pNERD | 0.58 | -0.01 | 0.81 | 0.00 | 0.00 | 0.02 | 0.00 | 0.00 | 3.80 | 5.20 |
Justin Verlander, San Francisco Giants
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 110 | 10.9% | 65.4% | 94.2 mph | 42 | 19.2s | 4 | 0.0% | — | — |
Z-score | 0.55 | 0.17 | 0.60 | 0.17 | 3.43 | 0.51 | — | — | — | — |
pNERD | -1.11 | 0.09 | 0.30 | 0.17 | 0.00 | -0.26 | 0.05 | 0.00 | 3.80 | 3.04 |
Washington Nationals @ New York Yankees, 4:05p
Summary
A watchability coin flip: MacKenzie Gore’s bat-missing left arm (top‑quartile pNERD) takes on the Yankees’ barrel brigade, while 2024 ROY Luis Gil is fresh off a lat‑strain return and still proving where his strikes live. gNERD 10.57 lands around the middle of today’s slate (slightly above the historical median), but the volatility is the hook.
New York’s high tNERD (8.35) is driven by elite contact quality, so any mistake gets punished, and that’s especially relevant if Gil’s command wobbles; he’s three August starts into his comeback and has issued eight walks in 14 innings after a spring high‑grade lat strain and a 2024 season that led MLB in free passes. Washington’s tNERD (0.83) is weighed down by light bats and defense, and they may still be without Keibert Ruiz (concussion IL), thinning the lineup. The Yankees’ star power is tempered by Aaron Judge DH‑ing while easing back from an elbow issue and not quite at his early‑season pace, which nudges this toward competitive rather than lopsided.
Gore remains the swing factor: 10.75 K/9 with a 3.69 FIP/3.61 xFIP and a curveball that’s become a real bat‑misser. If he locates that breaker, this plays like an upset watch; if not, the Bronx bats justify the tNERD.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6, 7, 8.)
Recommended broadcast: New York Yankees (2.08 rating)
Washington Nationals
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -33.5 | 7.7% | -1.8 | -35.2 | -4.3 | $115.9M | 27.5 | -23.0 | 2.00 | — | — |
Z-score | -0.57 | -0.68 | -0.38 | -1.80 | -1.77 | -0.77 | -1.25 | -1.12 | -0.75 | — | — |
tNERD | -0.57 | -0.68 | -0.38 | -1.80 | -1.77 | 0.77 | 1.25 | 0.00 | 0.00 | 4.00 | 0.83 |
New York Yankees
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 100.5 | 11.5% | -1.8 | 6.0 | 18.4 | $290.9M | 29.1 | 14.0 | 2.08 | — | — |
Z-score | 1.79 | 2.42 | -0.38 | 0.31 | -0.48 | 1.58 | 0.38 | 0.68 | -0.61 | — | — |
tNERD | 1.79 | 2.42 | -0.38 | 0.31 | -0.48 | 0.00 | 0.00 | 0.68 | 0.00 | 4.00 | 8.35 |
MacKenzie Gore, Washington Nationals
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 88 | 13.4% | 63.0% | 95.3 mph | 26 | 19.2s | 10 | 0.0% | — | — |
Z-score | -0.77 | 1.39 | -0.45 | 0.67 | -0.70 | 0.51 | — | — | — | — |
pNERD | 1.54 | 0.70 | -0.23 | 0.67 | 0.70 | -0.26 | 0.05 | 0.00 | 3.80 | 6.97 |
Luis Gil, New York Yankees
No detailed stats available
Detroit Tigers @ Athletics, 7:05p
Summary
This is a lineup-forward watch: two lively offenses (average tNERD 7.86) and a gNERD of 10.37 make the bats the draw while the starters mostly set the table. If you want strikeout theater, look elsewhere; if you want traffic, tactics, and some chaos potential, settle in.
Detroit’s tNERD (8.18) rides barrels, baserunning, and competent gloves, while Oakland’s 7.53 gets a big bump from “Luck,” which often translates to weird, watchable innings. On the mound, Charlie Morton’s middling pNERD (4.24) undersells recent form—he’s logged quality starts in three of four since joining Detroit after a deadline trade, still humming mid-94 with the heater. Osvaldo Bido’s pNERD (0.78) reflects the risk: a below-par xFIP- and a season line featuring a .300+ opponent average; he last worked three innings in relief and now slides into a spot start, which could tax the bullpen early. The setting adds flavor: the A’s, playing in West Sacramento, just ambushed Detroit with a late grand slam from Shea Langeliers in the opener, hinting at more late-inning volatility. Net of it: the pitchers won’t carry the show, but the watchability math favors action—extra baserunners, aggressive running, and a real chance the bullpen innings decide it.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5.)
Recommended broadcast: Detroit Tigers (2.74 rating)
Detroit Tigers
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 37.4 | 9.7% | 6.0 | 10.4 | 7.6 | $148.2M | 27.6 | -17.0 | 2.74 | — | — |
Z-score | 0.68 | 0.95 | 0.94 | 0.54 | -1.09 | -0.33 | -1.14 | -0.83 | 0.69 | — | — |
tNERD | 0.68 | 0.95 | 0.94 | 0.54 | -1.09 | 0.33 | 1.14 | 0.00 | 0.69 | 4.00 | 8.18 |
Athletics
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 26.7 | 8.4% | 0.8 | -20.6 | 21.6 | $77.1M | 27.6 | 43.0 | 1.27 | — | — |
Z-score | 0.49 | -0.11 | 0.06 | -1.05 | -0.30 | -1.29 | -1.14 | 2.09 | -2.19 | — | — |
tNERD | 0.49 | -0.11 | 0.06 | -1.05 | -0.30 | 1.29 | 1.14 | 2.00 | 0.00 | 4.00 | 7.53 |
Charlie Morton, Detroit Tigers
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 101 | 11.6% | 63.8% | 94.2 mph | 41 | 18.5s | 24 | 0.0% | — | — |
Z-score | 0.01 | 0.51 | -0.07 | 0.17 | 3.18 | -0.05 | — | — | — | — |
pNERD | -0.02 | 0.26 | -0.03 | 0.17 | 0.00 | 0.02 | 0.05 | 0.00 | 3.80 | 4.24 |
Osvaldo Bido, Athletics
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 130 | 10.7% | 64.1% | 94.5 mph | 29 | 18.2s | -3 | 0.0% | — | — |
Z-score | 1.76 | 0.07 | 0.03 | 0.30 | 0.08 | -0.29 | — | — | — | — |
pNERD | -3.51 | 0.04 | 0.01 | 0.30 | 0.00 | 0.14 | 0.00 | 0.00 | 3.80 | 0.78 |
Boston Red Sox @ Baltimore Orioles, 3:35p
Summary
Kyle Bradish’s first start back from Tommy John is the hook here, turning a median-on-paper matchup into a what-does-he-look-like watch. Boston counters with Lucas Giolito, whose 4.28 FIP/4.05 xFIP and 14% K-BB% scream “solid floor,” and he already spun seven scoreless vs. Baltimore earlier this season.
At 10.12, the gNERD sits near the historic median and a touch below today’s slate average, so watchability leans on storylines and the Red Sox’s strong run-prevention profile. Boston’s high tNERD is built on plus defense, real baserunning value, and a bullpen that shortens games if Giolito gets deep enough. Jarren Duran just reminded Baltimore of that margin for error with a three-run shot in a 4–3 decision.
For the Orioles, the curiosity is Bradish himself; the club’s season has sagged under injuries and underperformance, and this debut is a rare late bright spot. Colton Cowser offers watchable upside on the position-player side, coming in with a six-game hit streak and a homer in the opener.
If you’re here for ace-vs.-ace, this isn’t it; if you like comeback-variable vs. contact management plus a good chance of late-inning leverage, it’s worth your screen.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6.)
Recommended broadcast: Baltimore Orioles (2.82 rating)
Boston Red Sox
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 19.3 | 9.7% | 6.6 | 23.9 | 51.9 | $191.8M | 28.7 | -12.0 | 2.47 | — | — |
Z-score | 0.36 | 0.95 | 1.04 | 1.23 | 1.42 | 0.25 | -0.02 | -0.58 | 0.16 | — | — |
tNERD | 0.36 | 0.95 | 1.04 | 1.23 | 1.42 | 0.00 | 0.02 | 0.00 | 0.16 | 4.00 | 9.19 |
Baltimore Orioles
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -14.3 | 9.1% | -3.5 | -13.7 | 16.9 | $167.6M | 29.2 | -12.0 | 2.82 | — | — |
Z-score | -0.23 | 0.47 | -0.66 | -0.70 | -0.56 | -0.07 | 0.49 | -0.58 | 0.85 | — | — |
tNERD | -0.23 | 0.47 | -0.66 | -0.70 | -0.56 | 0.07 | 0.00 | 0.00 | 0.85 | 4.00 | 3.23 |
Lucas Giolito, Boston Red Sox
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 106 | 9.8% | 64.4% | 93.5 mph | 30 | 19.2s | -19 | 0.0% | — | — |
Z-score | 0.31 | -0.36 | 0.16 | -0.15 | 0.34 | 0.51 | — | — | — | — |
pNERD | -0.62 | -0.18 | 0.08 | 0.00 | 0.00 | -0.26 | 0.00 | 0.00 | 3.80 | 2.82 |
Kyle Bradish, Baltimore Orioles
No detailed stats available
Minnesota Twins @ Toronto Blue Jays, 4:07p
Summary
With Vladimir Guerrero Jr. back in the lineup and Chris Bassitt coming off a 10‑K start, Toronto’s first‑place machine meets a Twins club that will need its elite bullpen to keep things respectable. At a gNERD of 10.01—near the historic median and a tick below today’s average—this rates as watchable for the Jays’ crisp defense and Bassitt’s kitchen‑sink craftsmanship more than for a duel of aces.
Toronto’s hefty tNERD (8.13) is driven by plus batting runs and gloves, and a top broadcaster crew doesn’t hurt; Minnesota’s lighter tNERD (3.90) is propped up by a very strong bullpen, which could matter if Ober exits early. On the mound, Bassitt’s better run prevention shows up in the inputs (xFIP‑ 90, pNERD 4.28) while Ober’s fly‑ball/velo profile (xFIP‑ 113, pNERD 3.73) is shakier, especially given his recent hip‑IL stint—even if he did punch out seven A’s in 5⅔ last time. The local storyline juice is all Jays: they thumped Minnesota 10–4 in the opener and sit atop the AL East, with Vlad back DHing. Expect Bassitt’s strike-throwing to play, the Jays’ defense to shine, and the Twins’ ‘pen to decide whether this stays close.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6, 7.)
Recommended broadcast: Toronto Blue Jays (3.10 rating)
Minnesota Twins
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -24.6 | 8.6% | -7.7 | -13.5 | 50.7 | $145.1M | 28.8 | 12.0 | 2.30 | — | — |
Z-score | -0.41 | 0.06 | -1.37 | -0.69 | 1.35 | -0.37 | 0.08 | 0.58 | -0.17 | — | — |
tNERD | -0.41 | 0.06 | -1.37 | -0.69 | 1.35 | 0.37 | 0.00 | 0.58 | 0.00 | 4.00 | 3.90 |
Toronto Blue Jays
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 76.8 | 8.2% | -4.7 | 25.8 | 27.6 | $248.4M | 29.6 | 23.0 | 3.10 | — | — |
Z-score | 1.37 | -0.27 | -0.86 | 1.33 | 0.04 | 1.01 | 0.89 | 1.12 | 1.40 | — | — |
tNERD | 1.37 | -0.27 | -0.86 | 1.33 | 0.04 | 0.00 | 0.00 | 1.12 | 1.40 | 4.00 | 8.13 |
Bailey Ober, Minnesota Twins
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 113 | 11.7% | 67.0% | 90.5 mph | 29 | 17.5s | 10 | 0.0% | — | — |
Z-score | 0.73 | 0.56 | 1.28 | -1.51 | 0.08 | -0.85 | — | — | — | — |
pNERD | -1.47 | 0.28 | 0.64 | 0.00 | 0.00 | 0.42 | 0.05 | 0.00 | 3.80 | 3.73 |
Chris Bassitt, Toronto Blue Jays
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 90 | 9.7% | 64.5% | 91.6 mph | 36 | 20.5s | 12 | 0.0% | — | — |
Z-score | -0.65 | -0.41 | 0.22 | -1.01 | 1.88 | 1.56 | — | — | — | — |
pNERD | 1.30 | -0.21 | 0.11 | 0.00 | 0.00 | -0.78 | 0.05 | 0.00 | 3.80 | 4.28 |
Cincinnati Reds @ Los Angeles Dodgers, 7:10p
Summary
This isn’t a strikeout pageant; it’s a craftsman’s special. Mid-pack gNERD (8.41) and underpowered pNERDs say “background viewing,” but Kershaw’s guile and the Dodgers’ offense nudge it up. Probables are Clayton Kershaw and Nick Martinez, a contrast of soft‑velo lefty chess vs. slider‑change mix; it lines up after LA blanked Cincinnati 7–0 behind Emmet Sheehan and two Andy Pages homers. On the numbers, today’s average pNERD is 4.99; this matchup’s 3.18 sits below that, and each starter’s xFIP‑ (Kershaw 103, Martinez 107) suggests competence more than dominance. Kershaw’s back in regular turns after returning from foot/knee surgeries, so expect craft and command over raw stuff. The watch hook is the lineup: Dodgers’ tNERD 7.57 is buoyed by elite barrel rate and a top bullpen, plus Ohtani/Betts/Freeman providing thunder and traffic, while Cincinnati’s tNERD 2.91 reflects thin contact quality. Expect brisk tempo (Kershaw 17.3s; Martinez 18.0s), more fireworks from LA’s bats than the mounds, and decent odds of something loud finding the pavilion; for a duel, look elsewhere, but for competence plus star power, this plays.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3.)
Recommended broadcast: Los Angeles Dodgers (2.45 rating)
Cincinnati Reds
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -45.0 | 7.0% | 4.1 | -4.7 | 22.5 | $115.7M | 28.7 | -26.0 | 2.09 | — | — |
Z-score | -0.77 | -1.25 | 0.62 | -0.24 | -0.25 | -0.77 | -0.02 | -1.26 | -0.59 | — | — |
tNERD | -0.77 | -1.25 | 0.62 | -0.24 | -0.25 | 0.77 | 0.02 | 0.00 | 0.00 | 4.00 | 2.91 |
Los Angeles Dodgers
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 83.4 | 10.0% | -0.1 | -8.5 | 49.4 | $341.0M | 29.6 | -8.0 | 2.45 | — | — |
Z-score | 1.49 | 1.20 | -0.09 | -0.43 | 1.28 | 2.26 | 0.89 | -0.39 | 0.12 | — | — |
tNERD | 1.49 | 1.20 | -0.09 | -0.43 | 1.28 | 0.00 | 0.00 | 0.00 | 0.12 | 4.00 | 7.57 |
Nick Martinez, Cincinnati Reds
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 107 | 8.0% | 64.9% | 92.6 mph | 34 | 18.0s | -3 | 0.0% | — | — |
Z-score | 0.37 | -1.24 | 0.39 | -0.56 | 1.37 | -0.45 | — | — | — | — |
pNERD | -0.74 | -0.62 | 0.19 | 0.00 | 0.00 | 0.22 | 0.00 | 0.00 | 3.80 | 2.85 |
Clayton Kershaw, Los Angeles Dodgers
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 103 | 9.2% | 63.0% | 89.1 mph | 37 | 17.3s | -28 | 0.0% | — | — |
Z-score | 0.13 | -0.66 | -0.42 | -2.15 | 2.14 | -1.01 | — | — | — | — |
pNERD | -0.26 | -0.33 | -0.21 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 3.80 | 3.50 |
Pittsburgh Pirates @ St. Louis Cardinals, 4:45p
Summary
A mid-card watch with a defense-forward twist: Keller’s familiarity vs. St. Louis meets Pallante’s contact act backed by gloves that actually catch. If you like run prevention demos, Masyn Winn leading MLB in Outs Above Average is your exhibit A.
At 8.39, the gNERD sits below today’s average (10.64), and the pitcher average pNERD here (3.82) is likewise under today’s slate, so intrigue leans more toward context than strikeout theater. Keller’s skills still grade out fine (3.66 FIP on the season), and he’s shoved against these Cards twice with 7+ scoreless outings, which props up his otherwise modest pNERD and slightly below‑avg xFIP- (103). Pallante’s xFIP- (96) suggests “better than the ERA” despite an August swoon (15 runs in his last 12 IP); with his ground-ball profile and the Cardinals’ elite defense, balls in play can still be watchable. St. Louis just walked off the opener on Alec Burleson’s fourth hit, which adds a little series spice without inventing momentum. Oneil Cruz could be activated after a concussion-IL stint, a genuine lineup swing for a Pirates offense that needs it. Net: average bats, above-average gloves, and two starters whose peripherals say “competent,” not compelling.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6, 7, 8.)
Recommended broadcast: St. Louis Cardinals (2.17 rating)
Pittsburgh Pirates
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -97.9 | 8.0% | -5.0 | 13.8 | 33.8 | $88.9M | 28.4 | 12.0 | 2.01 | — | — |
Z-score | -1.70 | -0.43 | -0.91 | 0.71 | 0.39 | -1.13 | -0.33 | 0.58 | -0.74 | — | — |
tNERD | -1.70 | -0.43 | -0.91 | 0.71 | 0.39 | 1.13 | 0.33 | 0.58 | 0.00 | 4.00 | 4.10 |
St. Louis Cardinals
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -8.9 | 7.8% | -3.7 | 23.6 | 37.7 | $135.7M | 28.6 | -17.0 | 2.17 | — | — |
Z-score | -0.13 | -0.60 | -0.70 | 1.21 | 0.61 | -0.50 | -0.13 | -0.83 | -0.43 | — | — |
tNERD | -0.13 | -0.60 | -0.70 | 1.21 | 0.61 | 0.50 | 0.13 | 0.00 | 0.00 | 4.00 | 5.03 |
Mitch Keller, Pittsburgh Pirates
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 103 | 8.6% | 65.9% | 93.6 mph | 29 | 18.2s | -1 | 0.0% | — | — |
Z-score | 0.13 | -0.95 | 0.81 | -0.10 | 0.08 | -0.29 | — | — | — | — |
pNERD | -0.26 | -0.48 | 0.41 | 0.00 | 0.00 | 0.14 | 0.00 | 0.00 | 3.80 | 3.61 |
Andre Pallante, St. Louis Cardinals
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 96 | 10.1% | 60.9% | 94.6 mph | 26 | 20.2s | 29 | 0.0% | — | — |
Z-score | -0.29 | -0.22 | -1.36 | 0.35 | -0.70 | 1.32 | — | — | — | — |
pNERD | 0.58 | -0.11 | -0.68 | 0.35 | 0.70 | -0.66 | 0.05 | 0.00 | 3.80 | 4.03 |
Colorado Rockies @ Houston Astros, 5:10p
Summary
Hunter Brown is the hook: a high pNERD arm taking on the MLB‑worst Rockies, with Houston’s bullpen mid‑retool and a possible Yordan Alvarez cameo to sweeten the watch. Colorado’s Tanner Gordon brings strike‑thrower vibes and just authored a tidy win over the Dodgers, so this isn’t entirely a layup.
With a gNERD of 7.53, this sits below today’s average, and the model says the appeal rests mostly on the mound: Brown’s pNERD (8.27) props up a matchup weighed down by a very low Rockies tNERD (‑0.62). Brown’s form helps—he spun six scoreless in his last start at Detroit—and his power/ground‑ball mix tends to travel, making a one‑sided pitching showcase a real possibility. Houston’s late‑inning subplot is genuinely interesting: Josh Hader is on the shelf, the club just added Craig Kimbrel, and how Joe Espada doles out leverage behind Brown is part of the draw.
Gordon’s novelty is command; he’s been praised for living in the zone since his call‑up and, versus L.A., landed 60 of 92 pitches for strikes with 17 first‑pitch strikes, though his prior four starts were, politely, bumpy. If Alvarez indeed returns, the entertainment ceiling nudges up; otherwise, tune in for Brown and the bullpen experiment more than a back‑and‑forth.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13.)
Recommended broadcast: Houston Astros (2.17 rating)
Colorado Rockies
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -129.6 | 8.1% | -8.5 | -27.3 | -0.7 | $125.9M | 27.9 | 20.0 | 1.73 | — | — |
Z-score | -2.25 | -0.35 | -1.50 | -1.39 | -1.56 | -0.63 | -0.84 | 0.97 | -1.29 | — | — |
tNERD | -2.25 | -0.35 | -1.50 | -1.39 | -1.56 | 0.63 | 0.84 | 0.97 | 0.00 | 4.00 | -0.62 |
Houston Astros
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 3.3 | 7.7% | -4.7 | 4.4 | 42.3 | $221.9M | 29.0 | 23.0 | 2.17 | — | — |
Z-score | 0.08 | -0.68 | -0.86 | 0.23 | 0.88 | 0.66 | 0.28 | 1.12 | -0.42 | — | — |
tNERD | 0.08 | -0.68 | -0.86 | 0.23 | 0.88 | 0.00 | 0.00 | 1.12 | 0.00 | 4.00 | 4.76 |
Tanner Gordon, Colorado Rockies
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 115 | 7.5% | 68.1% | 92.1 mph | 27 | 18.7s | 34 | 0.0% | — | — |
Z-score | 0.85 | -1.49 | 1.77 | -0.79 | -0.44 | 0.11 | — | — | — | — |
pNERD | -1.71 | -0.74 | 0.89 | 0.00 | 0.44 | -0.06 | 0.05 | 0.00 | 3.80 | 2.67 |
Hunter Brown, Houston Astros
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 73 | 11.2% | 61.9% | 96.5 mph | 26 | 19.8s | -15 | 0.0% | — | — |
Z-score | -1.68 | 0.32 | -0.91 | 1.21 | -0.70 | 1.00 | — | — | — | — |
pNERD | 3.35 | 0.16 | -0.45 | 1.21 | 0.70 | -0.50 | 0.00 | 0.00 | 3.80 | 8.27 |
Los Angeles Angels @ Texas Rangers, 5:05p
Summary
A mid-tier gNERD 7.22 that plays like background gold: two lefties, a shorthanded Texas lineup, and just enough volatility to keep you from changing the channel. With Marcus Semien out and Patrick Corbin wobbling, Yusei Kikuchi is the steadier bet.
Kikuchi’s pNERD (4.39) edges Corbin’s (3.39), and the model likes his slightly better underlying run prevention (xFIP- 98 vs. 103), which fits his recent seven-inning, zero-walk tune-up against Cincinnati that drew praise for strike throwing. Corbin, meanwhile, has failed to clear 4.1 innings in four straight, walking 10 in 13.1 August frames, the kind of contact-and-traffic profile that usually drags pNERD.
Team-wise, Texas props up the watchability with plus baserunning and glove work (tNERD 5.18), while the Angels’ defense and bullpen drag (tNERD 1.46), a recipe for messy innings if LAA has to reach deep. The recent context helps: the Angels just blanked the Rangers 4-0 behind Jose Soriano, with Zach Neto ambushing the first pitch and Texas now missing Semien the rest of the way. Expect a tight, contact-forward game where Texas’ athleticism tries to exploit LAA’s sloppiness and Kikuchi’s command tries to outrun it.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5.)
Recommended broadcast: Los Angeles Angels (2.59 rating)
Los Angeles Angels
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -26.9 | 10.5% | -1.6 | -42.6 | -0.8 | $203.8M | 29.2 | -12.0 | 2.59 | — | — |
Z-score | -0.45 | 1.61 | -0.34 | -2.18 | -1.57 | 0.41 | 0.49 | -0.58 | 0.40 | — | — |
tNERD | -0.45 | 1.61 | -0.34 | -2.18 | -1.57 | 0.00 | 0.00 | 0.00 | 0.40 | 4.00 | 1.46 |
Texas Rangers
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -52.9 | 8.7% | 6.2 | 15.8 | 29.8 | $219.7M | 30.4 | -23.0 | 2.01 | — | — |
Z-score | -0.91 | 0.14 | 0.97 | 0.81 | 0.17 | 0.63 | 1.71 | -1.12 | -0.74 | — | — |
tNERD | -0.91 | 0.14 | 0.97 | 0.81 | 0.17 | 0.00 | 0.00 | 0.00 | 0.00 | 4.00 | 5.18 |
Yusei Kikuchi, Los Angeles Angels
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 98 | 10.3% | 64.1% | 94.8 mph | 34 | 18.9s | -15 | 0.0% | — | — |
Z-score | -0.17 | -0.12 | 0.03 | 0.44 | 1.37 | 0.27 | — | — | — | — |
pNERD | 0.34 | -0.06 | 0.01 | 0.44 | 0.00 | -0.14 | 0.00 | 0.00 | 3.80 | 4.39 |
Patrick Corbin, Texas Rangers
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 103 | 10.9% | 62.4% | 91.5 mph | 35 | 18.4s | 11 | 0.0% | — | — |
Z-score | 0.13 | 0.17 | -0.69 | -1.06 | 1.63 | -0.13 | — | — | — | — |
pNERD | -0.26 | 0.09 | -0.35 | 0.00 | 0.00 | 0.06 | 0.05 | 0.00 | 3.80 | 3.39 |
Kansas City Royals @ Chicago White Sox, 4:40p
Summary
This is the slate’s low-gear option: a bottom-of-today gNERD (6.26) matchup where Kansas City’s playoff chase is the hook and Martín Pérez’s recent tune‑up is the curiosity. If you like contact, quick innings, and the chance that one big Witt Jr. swing or a Sox miscue tilts it, this is your kind of background viewing.
The numbers say “lean Royals, hold the fireworks.” KC prevents runs well (3.9 RA/G, top five) while Chicago’s defense grades near the bottom by fielding percentage, and the record gap is real (Royals 67–64, Sox 47–83). On the mound, Michael Lorenzen profiles as a league-average contact manager (as a starter: 4.54 FIP/4.33 xFIP, with sharper first‑time‑through results), which rarely spikes watchability but usually keeps you in it. Pérez is the counter: light velocity, but an August glow‑up (1.73 FIP/3.13 xFIP) and strong at home (2.68 FIP) that could mute a light Royals lineup. KC’s edge comes later; their bullpen projects better than Chicago’s and they’ve handled the Sox all year (8–2 after last season’s 12–1). In short, not a fireworks show, but a tidy, leverage-heavy game where one mistake matters.
(A model from OpenAI generated the above text using instructions, the NERD scores, and these sources: 1, 2, 3, 4, 5.)
Recommended broadcast: Kansas City Royals (2.11 rating)
Kansas City Royals
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -56.2 | 7.6% | -3.7 | 8.5 | 33.0 | $130.0M | 28.8 | 33.0 | 2.11 | — | — |
Z-score | -0.96 | -0.76 | -0.70 | 0.44 | 0.35 | -0.58 | 0.08 | 1.60 | -0.54 | — | — |
tNERD | -0.96 | -0.76 | -0.70 | 0.44 | 0.35 | 0.58 | 0.00 | 1.60 | 0.00 | 4.00 | 4.55 |
Chicago White Sox
Batting runs | Barrel % | Baserunning runs | Fielding runs | Bullpen runs | Payroll | Age | Luck | TV | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|---|
Raw stat | -65.7 | 8.0% | -5.5 | -23.2 | 31.7 | $79.0M | 27.5 | -10.0 | 1.82 | — | — |
Z-score | -1.13 | -0.43 | -1.00 | -1.18 | 0.27 | -1.26 | -1.25 | -0.49 | -1.11 | — | — |
tNERD | -1.13 | -0.43 | -1.00 | -1.18 | 0.27 | 1.26 | 1.25 | 0.00 | 0.00 | 4.00 | 3.04 |
Michael Lorenzen, Kansas City Royals
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 103 | 10.3% | 63.7% | 93.8 mph | 33 | 19.2s | 3 | 0.0% | — | — |
Z-score | 0.13 | -0.12 | -0.11 | -0.01 | 1.11 | 0.51 | — | — | — | — |
pNERD | -0.26 | -0.06 | -0.06 | 0.00 | 0.00 | -0.26 | 0.05 | 0.00 | 3.80 | 3.21 |
Martín Pérez, Chicago White Sox
xFIP- | SwStr% | Strike % | Velocity | Age | Pace | Luck | KN% | Constant | Total | |
---|---|---|---|---|---|---|---|---|---|---|
Raw stat | 106 | 8.3% | 60.7% | 89.1 mph | 34 | 19.0s | -45 | 0.0% | — | — |
Z-score | 0.31 | -1.10 | -1.45 | -2.15 | 1.37 | 0.35 | — | — | — | — |
pNERD | -0.62 | -0.55 | -0.73 | 0.00 | 0.00 | -0.18 | 0.00 | 0.00 | 3.80 | 1.72 |