WilmaHokie

Made this to help me get more out of the event. Let me know what you think.

Curious who would take this as end of season result - (fictional article I developed) Virginia Tech’s 2025 Football Season: AI Coordinator Shows Glimmers Amid Growing Pains The 2025 Virginia Tech football season ended with a 4–8 record, a modest step forward from preseason projections that had the Hokies pegged at just 2.5 wins. While the midseason dismissal of Brent Pry and the unprecedented elimination of offensive and defensive coordinators in favor of an AI Strategic Coordinator did not produce a miraculous turnaround, the season offered glimpses of innovation, resilience, and a potential blueprint for the future of “Virginia Technical” football. 📊 Preseason Expectations vs. Results Week Opponent Odds (VT) Result Notes 1 Vanderbilt +9.5 underdog L 44–20 Collapse after halftime, Pry’s final game 2 Old Dominion –7 favorite L 45–26 Embarrassing home loss, Pry fired 3 Marshall +7 underdog W 27–24 AI adjustments neutralized blitz packages 5 Pitt +10 underdog L 31–28 Nearly forced OT with sharper late-game drive 7 Syracuse –3 favorite L 20–17 Late turnover spoiled winnable game 9 Wake Forest +4 underdog W 30–27 Aggressive situational calls paid off 12 Virginia +6 underdog W 24–21 Rivalry win sealed by AI-scripted drive Final Record: 4–8 (2–6 ACC) Against the Spread (ATS): 8–4 – a sign of improved preparation and situational awareness 🔄 Transfer Portal Attrition and Roster Challenges The midseason transition to AI coordination came amid heavy roster turnover. More than a dozen scholarship players entered the transfer portal following Pry’s dismissal, including two starting offensive linemen and a top defensive back. Despite the talent drain, the Hokies fielded competitive lineups, with younger players stepping into expanded roles. The AI system’s ability to tailor game plans to available personnel—rather than forcing rigid schemes—was cited by interim staff as a key factor in keeping games close. 🧠 Machine Learning Insights: History Meets Real-Time Video Learning from Legends and Mistakes: The system was trained on decades of coaching data, from Frank Beamer’s famed special teams aggressiveness to Nick Saban’s defensive adjustments. It also incorporated famously poor decisions—such as clock mismanagement blunders or failed trick plays—so it could recognize and avoid repeating them. This dual learning approach gave the AI a broader decision-making palette than any single human coach. Video Analysis Under Scrutiny: Using computer vision and deep learning, the AI tracked player positioning, fatigue, and opponent formations in real time. While effective, this drew scrutiny from some ACC rivals who questioned whether such granular in-game video parsing gave Tech an unfair edge. Still, the system’s ability to detect subtle shifts—like Syracuse’s disguised coverages or Pitt’s blitz timing—was credited with keeping games closer than expected. Trend Detection: The AI flagged macro-level shifts, such as the rise of hybrid linebacker-safety roles, and adjusted Tech’s personnel groupings accordingly. Against Wake Forest, it correctly predicted a late-game switch to tempo offense and preloaded defensive substitutions to counter it. These insights didn’t always translate into wins, but they consistently produced better-prepared game plans and sharper in-game adjustments than in Pry’s tenure. 👥 Player Development and Reception With coordinators gone, much of the remaining staff shifted focus to player development. Position coaches emphasized fundamentals, while the AI handled scheme and situational planning. Players initially expressed skepticism about “taking orders from a computer,” but many came to appreciate the clarity of the system. Simplified Assignments: The AI broke down complex schemes into digestible, role-specific instructions, which younger players found easier to execute. Performance Feedback: Wearable data and AI-driven analysis gave athletes immediate feedback on technique, stamina, and decision-making. Player Reception: Veterans admitted it was “strange at first,” but several noted that the AI “took the guesswork out of preparation.” Senior linebacker Jalen Morris explained, “It felt weird at first, but the AI actually made us feel more prepared. Coaches focused on us, not just the play sheet.” This dual approach—AI for strategy, humans for development—helped stabilize a roster depleted by transfer portal departures. 💰 Budget Savings and Strategic Reinvestment By eliminating offensive and defensive coordinator positions, Virginia Tech saved an estimated $2 million annually in staff salaries. Those funds were redirected toward: Expanding the AI platform’s development with the Sanghani Center for AI and Data Analytics Enhancing recruiting support staff and academic services Bolstering NIL infrastructure to remain competitive in the transfer portal era 📺 Marketing the AI Platform: Beyond Blacksburg Virginia Tech’s experiment has not gone unnoticed. Several universities have reportedly inquired about licensing the AI Strategic Coordinator platform, and television networks have expressed interest in integrating the system’s real-time analytics into broadcasts. Imagine ESPN or FOX cutting to an “AI Coordinator Corner” mid-game, showing probability charts and recommended play calls—an innovation that could change how fans consume football. By positioning itself as the first school in the nation to operate under a pure AI-driven coaching model, Virginia Tech has regained national attention not only in athletics but also in academics, reinforcing its brand as a technical powerhouse. 🧭 The Bright Future of Virginia “Technical” Football The 2025 season will not be remembered for its win total, but for its boldness. Virginia Tech became the first FBS program to entrust its game planning and in-game adjustments to artificial intelligence. While the results were uneven, the Hokies demonstrated that AI can enhance preparation, sharpen situational awareness, and stretch limited rosters further than traditional methods. With another offseason to refine the system, integrate more historical coaching data, and stabilize the roster, optimism is building in Blacksburg. The Hokies may not yet be back among the ACC’s elite, but they have carved out a new identity: a program that doesn’t just play football—it engineers it. 🎙️ End-of-Season Press Conference Athletic Director Whit Babcock closed the season with a pointed but optimistic message: “This year was about more than wins and losses. It was about proving that Virginia Tech can lead—not just in athletics, but in innovation. We’ve shown the world that football can be engineered smarter, more efficiently, and with a vision for the future. The foundation is here, and the future of Virginia ‘Technical’ football is bright.” 📰 National Media Reaction ESPN’s College Football Final described the Hokies as “a program that may have lost games but won the future, showing how AI could reshape coaching.” The Athletic called the AI initiative “a fascinating case study in blending engineering with athletics—one that other schools will be watching closely.” Sports Illustrated noted that while Tech’s record was modest, “the Hokies have rebranded themselves as innovators, and that may prove more valuable long-term than a middling bowl appearance.” Consensus: Virginia Tech’s 2025 season was less about the scoreboard and more about planting a flag as the first mover in AI-driven football. ** Edited by WilmaHokie at 9/20/2025, 3:32:51 PM

Restore national reputation of Virginia “Tech” football. Virginia Tech is no ordinary school—it’s one of the nation’s top engineering institutions, home to the Sanghani Center for Artificial Intelligence and Data Analytics. With deep expertise in machine learning, decision modeling, and ethical AI, the university is uniquely positioned to explore a bold alternative: an AI-driven coaching platform. Reduction in both OC and DC salaries should sufficient funds for the development and implementation of an “AI Strategic Coordinator”. Clever marketing of its use to evaluate other game day coaching decisions real time could bring in significant income. Guarantee game plan and game day decision making wil be >>>>> than recent years performance.

and show boobies, when needed.

Curious minds want to know. I can’t imagine the “value added” of the notes outweighs the distraction from the game.

I understand the value of scrolling updates and info, but to totally block out scores of games being replayed is well … expected for the ACC Network. Not an issue when watching the VT vs Miami replay. Should they adjust the transparency or opacity setting on the blue background. I get those confused.

Not sure if this has been addressed, but why does the ACCN NOT cover olympic championships (wrestling, swimming/diving, track&field, …). I saw that wrestling is on ACCNX, but I am not giving any more money to ESPN/Disney. I took a look at what is showing versus the wrestling championships on ACCN. Nothing live until a 4:30 softball game. ** Edited by WilmaHokie at 3/10/2024, 2:18:03 PM

First, we need a 4-person referee team at each game with three starters based on graded performance to date. When an egregious call like that an King near end of game happens, an off-site group of referees calls back and sends the offending ref to the box, bring out ref #4, perhaps for 2- or 5-minutes.

Curious what his notes entail.

Curious if coaches let them know what to expect and how to defend it. ** Edited by WilmaHokie at 9/16/2023, 5:07:39 PM

** Edited by WilmaHokie at 3/28/2023, 8:45:02 AM

Nice perspective, no announcers, just crowd noise

Hard to project leadership while scribbling

How many new plays can be installed between games? Are players smart enough to absorb new offensive scheme changes as season goes along?