San Diego, CA
Oklahoma Softball vs. San Diego State | Live Updates, Score Mary Nutter ’26 – FloSoftball
The 2026 Mary Nutter Classic is going strong! With day one of action almost in the books, the Oklahoma Sooners will head in to their second game of the day to take on San Diego State.
The Sooners enter in to the contest after beating Cal State Fullerton, 6-5 in extras. The goal in the second game is to enter in to the games on Feb. 20 with a 2-0 record.
The Aztecs enter in to the contest looking to start their Marry Nutter campaign on the right foot. Currently on a hot streak of their own after besting Oregon State on Feb. 14 and 15, the team is looking to keep the action rolling.
First pitch is slated for 10:00 PM CT/11:00 PM ET and can be streamed live on FloCollege!
Refresh this page often as the newest updates will appear at the top!
OU Walks It Off!
The Sooners secured a walk-off victory over Cal State Fullerton! OU will take on San Diego State at 11:50 PM CT!
All Tied Up & It Goes To Extras!
It is all tied up back at 5 as OU finds a clutch home run! It heads to the top of eighth!
CSUF Takes The Lead!
Cal State Fullerton takes the lead off an RBI-Double! It’s 5-4!
OU Is Still Tied Up Against Cal State Fullerton
It’s still a tie ball game as the Sooner take on Cal State Fullerton! Keep with us to know all the action!
Updated First Pitch
The updated current first pitch time for this contest has been pushed to 10:30 PM CT due to teams in action currently!
San Diego State Roster
- 00, Mia Rodriguez, OF
- 1, Emma French, INF
- 2, Ally Dueker, OF
- 4, Julie Holcomb, OF
- 7, Kiara Cisneros, UTIL
- 9, Jazmin Williams, UTIL
- 10, Montse Reyes-Cardenas, P
- 11, Gabriella Terrones, UTIL/C
- 12, Tylie Kitchen, UTIL
- 14, Matti Kwarta, P/UTIL
- 15, Ava Schaffel, P
- 16, Quinn Waiki, INF
- 17, Shannon Cunningham, INF
- 21, Jayleen Hernandez, OF
- 22, Jade Ignacio, C
- 23, Kaila Pollard, INF
- 24, Angie Yellen, UTIL
- 25, Andrea Tall, INF
- 28, Lala Macario, INF
- 31, Olivia Gigante, P/UTIL
- 33, Key-annah Pu’a, P
- 43, Candace Tarle, P
- 57, Faith Jordan, P
OU Softball Roster
- 00, Allyssa Parker, RHP/UTL
- 1, Kendall Wells, C
- 2, Nelly McEnroe-Marinas, INF
- 3, Chaney Helton, OF
- 5, Ella Parker, UTL
- 7, Kasidi Pickering, OF
- 9, Tia Milloy, UTL
- 11, Kierston Deal, LHP
- 12, Lexi McDaniel, INF
- 13, Isabela Emerling, C
- 14, Riley Zache, C/INF
- 16, Abby Dayton, OF
- 19, Berkley Zache, RHP
- 22, Kai Minor, OF
- 24, Audrey Lowry, LHP
- 29, Sydney Berzon, RHP
- 42, Gabbie Garcia, INF
- 50, Ailana Agbayani, INF
- 55, Ori Mailo, INF
- 77, Sydney Barker, INF/OF
- 99, Miali Guachino, RHP
Teams At Mary Nutter Classic 2026
- Auburn
- Bethune-Cookman
- BYU
- California
- California Baptist (CBU)
- CSUN (Cal State Northridge)
- Duke
- Fresno State
- Hawaii
- LMU (Loyola Marymount)
- Long Beach State
- Nebraska
- Nevada
- Oklahoma
- Oregon
- Oregon State
- Rutgers
- Saint Mary’s
- San Diego State
- Seattle
- South Carolina
- Team Japan
- Texas A&M
- Texas Tech
- UCLA
- UC Riverside
- UC San Diego
- Utah
- Washington
How To Watch Mary Nutter Classic 2026
Every game of the Mary Nutter Collegiate Classic is streaming on FloCollege, FloSoftball and the FloSports app.
Mary Nutter Classic 2026 Schedule
Thursday, Feb. 19
Wrigley Field
- 1:00 p.m. ET — Auburn vs. Oregon
- 4:30 p.m. ET — Texas A&M vs. Oregon
- 7:30 p.m. ET — Fullerton vs. Oklahoma
- 8:30 p.m. ET — San Diego State vs. Oklahoma
Yankee
- 1:30 p.m. ET — Utah vs. Bethune Cookman
- 4:00 p.m. ET — South Carolina vs. Washington
- 6:30 p.m. ET — Fresno State vs. Texas Tech
- 11:30 p.m. ET — Team Japan vs. Texas Tech
Fenway
- 1:00 p.m. ET — CBU vs. Oregon State
- 4:30 p.m. ET — Nevada vs. Rutgers
- 7:30 p.m. ET — Texas A&M vs. Duke
- 11:30 p.m. ET — Fullerton vs. Rutgers
Des Moines
- 1:00 p.m. ET — UC San Diego vs. California
- 4:00 p.m. ET — BYU vs. CSUN
- 7:30 p.m. ET — BYU vs. Hawaii
- 11:30 p.m. ET — Duke vs. Hawaii
Friday, Feb. 20
Wrigley Field
- 1:00 p.m. ET — Bethune Cookman vs. Texas Tech
- 4:30 p.m. ET — Duke vs. Oklahoma
- 7:30 p.m. ET — Nevada vs. UCLA
- 11:00 p.m. ET — Duke vs. UCLA
Yankee
- 1:00 p.m. ET — California vs. Fresno State
- 4:30 p.m. ET — California vs. Nevada
- 7:30 p.m. ET — UC Riverside vs. San Diego State
- 11:00 p.m. ET — Saint Mary’s vs. San Diego State
Fenway
- 1:00 p.m. ET — South Carolina vs. Nebraska
- 4:30 p.m. ET — Hawaii vs. Nebraska
- 7:30 p.m. ET — Oregon vs. South Carolina
- 11:00 p.m. ET — Oregon vs. Auburn
Des Moines
- 1:00 p.m. ET — CBU vs. Seattle
- 4:30 p.m. ET — CSUN vs. Seattle
- 7:30 p.m. ET — CSUN vs. Utah
- 11:00 p.m. ET — Oregon State vs. Hawaii
Pawtucket
- 1:30 p.m. ET — CBU vs. Fresno State
- 4:30 p.m. ET — Long Beach State vs. BYU
- 7:30 p.m. ET — Rutgers vs. LMU
- 11:30 p.m. ET — Rutgers vs. Utah
Saturday, Feb. 21
Wrigley Field
- 12:30 p.m. ET — Oklahoma vs. Long Beach State
- 3:00 p.m. ET — Oklahoma vs. California
- 6:30 p.m. ET — Fresno State vs. UCLA
- 10:30 p.m. ET — South Carolina vs. Saint Mary’s
Yankee
- 12:30 p.m. ET — Seattle vs. San Diego State
- 3:30 p.m. ET — Texas Tech vs. Fullerton
- 7:30 p.m. ET — Nebraska vs. Texas A&M
- 11:30 p.m. ET — LMU vs. Texas A&M
Fenway
- 12:30 p.m. ET — Auburn vs. Duke
- 3:00 p.m. ET — Utah vs. LMU
- 6:30 p.m. ET — Utah vs. CBU
- 10:30 p.m. ET — Hawaii vs. Team Japan
Des Moines
- 12:30 p.m. ET — Seattle vs. UC Riverside
- 3:00 p.m. ET — Washington vs. BYU
- 6:30 p.m. ET — Rutgers vs. Team Japan
- 10:30 p.m. ET — Long Beach State vs. Saint Mary’s
Pawtucket
- 1:30 p.m. ET — Oregon State vs. Bethune Cookman
- 4:30 p.m. ET — Bethune Cookman vs. Long Beach State
Sunday, Feb. 22
Wrigley Field
- 12:00 p.m. ET — Oklahoma vs. Washington
- 12:00 p.m. ET — Texas A&M vs. UCLA
- 2:30 p.m. ET — LMU vs. Team Japan
Yankee
- 12:00 p.m. ET — Nebraska vs. Seattle
- 2:30 p.m. ET — California vs. Nebraska
Fenway
- 12:00 p.m. ET — Texas Tech vs. UC Riverside
- 2:30 p.m. ET — LMU vs. Washington
Des Moines
- 12:00 p.m. ET — Auburn vs. California
- 2:30 p.m. ET — UC Riverside vs. Utah
Pawtucket
- 12:30 p.m. ET — Long Beach State vs. Oregon State
- 2:30 p.m. ET — Long Beach State vs. Saint Mary’s
D1Softball 2026 Preseason Top 25
- Texas
- Texas Tech
- Oklahoma
- Tennessee
- Florida
- Oregon
- Florida State
- Arkansas
- Nebraska
- UCLA
- Texas A&M
- LSU
- South Carolina
- Alabama
- Clemson
- Duke
- Georgia
- Stanford
- Oklahoma State
- Virginia Tech
- Arizona
- Washington
- Mississippi State
- Ole Miss
- Virginia
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San Diego, CA
Machado's walk-off lifts Padres to 10-inning comeback victory over Cards
Here’s some instant reaction from the Padres’ wild 3-2 victory
San Diego, CA
Padres come back, walk off with win over Cardinals to split series
It seemed like the same tired story.
Instead, it was the same thriller.
The Padres pushed their offensive lethargy as long as possible without paying for it Sunday, tying the game with two outs in the ninth inning on Nick Castellanos’ two-run homer and then celebrating after Manny Machado’s sacrifice fly in the 10th inning gave them a 3-2 victory over the Cardinals.
“Getting it done,” Machado said.
That’s it. That is all they are doing.
And at what is essentially the quarter mark of the season, the Padres are 24-16 and tied with the Dodgers atop the National League West.
The shocking component of their having the major leagues’ fifth-best record is that the Padres rank in the bottom three among MLB’s 30 teams in batting average and OPS.
They split with the Cardinals despite having 14 hits, their fewest in a four-game series in franchise history. Their 61 hits over their past 10 games are the fewest in a stretch that long since 2019, and they are 5-5 in those games.
“It sucks; we need to hit; Machado said. “I mean, you know, look, it’s obvious. We’re not hitting. It’s obvious, but we’re getting things done, man.”
Sunday was the Padres’ 12th victory this season in which the decisive run was scored in the seventh inning or later. That is exactly half their victories.
It was their fourth walk-off victory, their second in extra innings. It was the seventh time that a run scored in their final offensive half-inning decided a victory.
So it is no small thing to proffer that Sunday was possibly their most dramatic triumph. Because it was possibly their most unlikely one.
Not only were they a strike away from defeat, but they began the ninth inning having gotten two hits all day.
The Cardinals took a 2-0 lead in the fourth inning on their first two hits off Walker Buehler — a single by Alec Burleson and a home run by Jordan Walker with two outs. Buehler pitched six innings, allowing just one more hit before Ron Marinaccio worked two scoreless innings.
But the Padres were unable to make anything of their seven at-bats with runners in scoring position over the first eight innings. They had walked five times but had just Jackson Merrill’s third-inning single and Xander Bogaerts’ fourth-inning double to that point.
“Really good teams find ways to win games when they’re not doing their best,” Gavin Sheets said. “… We’re not clicking on all cylinders by any means. And I don’t think any of us would say that he’s on a roll right now, but we’re getting hits in a timely fashion and it’s someone different every night.”
Almost.
The Padres have game-winning RBIs from 10 different players. They have go-ahead RBIs from 13 of the 14 position players who have been on their roster this season. Sunday was Castellanos’s third game-tying RBI.
His home run, on the ninth pitch of his at-bat against Cardinals closer Riley O’Brien, was something of a clinic by a veteran hitter who is in his first season as a role player.
Castellenos, who entered the game as a pinch-hitter in the seventh inning and remained in right field, came to the plate with Bogaerts at first base with two outs.
Bogaerts’ single leading off the inning had been followed by two strikeouts, and Castellanos fell behind 0-2 before working the count full and then sending a 99 mph sinker on the inner edge of the plate almost to the ribbon scoreboard fronting the second level of seats beyond left field.
“The first pitch started, and I was probably looking to do what I did,” he said. “And then I ended up getting 0-2 and chasing. After that, just took a deep breath and tried to shorten up as much as possible and just compete. Just find a way on base. And then found myself in a full account and was able to get the job done.”
It was the first home run allowed by O’Brien this season.
With closer Mason Miller not available after throwing 29 pitches over 1⅓ innings on Saturday, Jeremiah Estrada got the first two outs of the 10th. With runners on first and second, Adrian Morejón entered the game and got an inning-ending pop out on his first pitch.
Gordon Graceffo was on the mound for the Cardinals, and Ramón Laureano was the Padres’ automatic runner in the 10th. The Cardinals intentionally walked Merrill at the start before Fernando Tatis Jr. whittled a 1-2 count into a walk to load the bases.
The game was over one pitch later, when Machado sent a fastball to right-center field and Laureano slid across the plate well in front of right fielder Jordan Walker’s throw.
It was a somewhat subdued but still enthusiastic celebration along the first-base line, as teammates bounced around Machado.
“It’s hard to win a game like that,” Padres manager Craig Stammen said. “Their pitchers pitched great, and they’re bringing in one of the best closers in the game. And we just stuck with it. It just speaks to how those guys believe in themselves and how they believe in what we’ve got going on as a team.”
San Diego, CA
It’s ‘trust, but verify’ for new AI spine surgery system
On a recent morning, Dr. Joseph Osorio arrived in the operating room ready to sink six surgical screws into his patient’s spine, and he did not seem remotely nervous that their placement and size had been recommended by artificial intelligence software.
Osorio was the first neurosurgeon on the West Coast to begin using Medtronic’s new “Stealth AXiS” surgical robotic system, conducting a spinal fusion procedure to treat degenerative scoliosis at Jacobs Medical Center in La Jolla by anchoring two small custom-shaped metal rods across three vertebrae in his patient’s lower spine.
The process started with a CT scan, identifying the segment of spine that needed reinforcement. A program analyzed the resulting three-dimensional image, using an AI model trained on information from previous successful surgeries, not just where screws should go, but also the best path for their insertion.
Board-certified with thousands of such surgeries in his past, having completed a fellowship at Columbia University after a surgical residency at UC San Francisco, Osorio is well-qualified to make these calls with zero help from technology. So, why bother using an algorithm to plan these crucial, but routine details?
The utility, he said, is similar to what many are now experiencing when they use AI writing tools. The software can quickly get a person to the neighborhood of what they intend to say.
“You might say, ‘write me a paragraph on this,’ and it’s going to cut down your time, but you might still need to change some words, add a comma, tweak a sentence … that’s essentially what the AI is doing here,” Osorio said.
In this particular case, the AI system’s recommendations for screw length and diameter seemed on point, allowing the army of surgical technicians assisting with the procedure to pull the proper supplies ahead of time. The suggested locations, though, did require minor adjustment.
“It was slight, very slight, I’d say probably, like one or two millimeter adjustments,” Osorio said.
And the AI auto planning feature, he added, is even more useful in situations where a patient’s health insurance company will not pay for a pre-surgical CT scan, meaning that the guiding image must be taken after the patient is already sedated in an operating room on the day of their surgery.

Once a digital surgical plan is created and approved by a qualified surgeon, a surgical robot can use a system of cameras and electromagnetic sensors, registered against each patient’s anatomy with an initial X-ray, to move its arm to each screw location, placing a drilling guide at the exact angle needed to put each anchor in the correct spot. Here, too, AI is at work comparing previously recorded X-rays with real-time sensor data to compensate for any patient movements that may occur.
It is an evolution of Medtronic’s previous “Mazor” robotic spike system, which had already achieved levels of anatomy navigation using sensors and cameras that have reduced the need for X-ray images during surgery. And other medical device companies have launched similar systems, building in AI functions as the entire industry begins to see such augmentation as table stakes to play in a market that has always been as competitive as a high-stakes table in a Las Vegas casino.
Patients may wonder whether this push toward AI guidance is a good thing. After all, this is a technology that has made headlines for its ability to “hallucinate” convincing, but incorrect details.
ECRI, an independent non-profit organization that works to improve patient safety and cost effectiveness in health care, has been watching these systems develop.
In an email, Scott Lucas, ECRI’s vice president of devices, therapeutics and technology, said that the organization does not comment on any individual case or procedure, but has found that AI-enabled systems do have their merits.
“We can say that AI seems to be particularly helpful when it is used to support imaging, planning, navigation and precision in technically demanding procedures such as spine surgery,” Lucas said. “These tools may help surgeons in multiple ways, including tailoring procedures to a patient’s anatomy and improving consistency in implant placement and alignment.”

That said, the executive makes it clear that there is no argument for blind loyalty. In these early days, he argues, AI assistance should be less involved with surgeries, and there must be a clear path that allows surgeons to verify the work that their algorithmic assistants perform.
“Used well, AI may strengthen surgical safety; used without appropriate governance, human oversight, training and monitoring, it could introduce new risks, including overreliance, workflow disruption, planning errors or automation bias,” Lucas said.
Such bias, he added, occurs when a surgeon “fails to recognize when the technology is wrong.”
Osorio said that he believes the checks and balances built into the new system he is now using weekly do give him solid checkpoints to make sure that the machine is not hallucinating. While screw placement calculations will automatically calculate for straightforward placements, those with particularly complicated circumstances, such as anatomy that significantly deviates from the norm, will not proceed.
“If things aren’t lining up perfectly in the image, or they’re getting some feedback, it will just refuse to place a screw in that corridor,” Osorio said. “So, it’s only making recommendations in locations that meet the highest standards, and it still requires the surgeon to validate every level.”
AI is now also involved in the calculations used to move the robotic arm to the correct locations for screw insertions and also to make real-time corrections for any patient movement, Medtronic confirmed by email.
Here too, Osorio said, there are ways to verify that the robot’s calculations are pointing at the correct vertebrae, even though this type of minimally invasive surgery does not expose the target bone before screw insertion.
Surgeons use a bony projection at the back of each vertebra called the spinous process to check the robot’s accuracy, laying a special navigation ring over the landmark to verify that what is showing on the computer’s calculated location screen matches the robot’s arm position.
“A very common statement is ‘trust, but verify’,” Osorio said.
While robotic spine surgery is the latest to begin the process of AI integration, other systems have already made similar moves in knee and hip replacements, urologic procedures, and in some aspects of general surgery.
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