Janocko Named Raiders Offensive Chief | Analysis by Brian Moineau

New Voice in the Silver and Black: Andrew Janocko Takes Over as Raiders Offensive Coordinator

An offseason shake-up just got a fresh headline: the Las Vegas Raiders have officially named Andrew Janocko their offensive coordinator. If you’re into coaching trees, quarterback development or the slow, careful work of rebuilding an offense, this hire deserves a close look — and not just because it continues Klint Kubiak’s habit of importing trusted collaborators.

Janocko arrives after a fast-moving climb through NFL offensive rooms, most recently serving as the Seattle Seahawks’ quarterbacks coach during their 2025 championship season. He brings more than a decade of coaching experience and a reputation for developing quarterbacks and installing detail-oriented, timing-based concepts. For a Raiders offense that finished near the bottom of the league in 2025, the timing feels deliberate.

Why this hire matters

  • Janocko is young but seasoned: his résumé includes stops with the Seahawks, Saints, Bears, Vikings and Buccaneers, plus college coaching early in his career.
  • He’s part of Klint Kubiak’s familiar circle — they’ve worked together at multiple stops — which suggests continuity of offensive philosophy even as the Raiders attempt to change results.
  • This will be Janocko’s first season as a full-time offensive coordinator, but he joins a staff where Kubiak is expected to call plays, which can ease the transition while allowing Janocko to focus on scheme details and quarterback coaching.

Where Janocko comes from

  • Seattle Seahawks (2025): Quarterbacks coach on a Super Bowl-winning staff. The Seahawks finished near the top of the league in scoring and offensive efficiency that season, and their QB play was a key ingredient.
  • New Orleans Saints (2024): Quarterbacks coach, helping veteran Derek Carr produce efficient numbers and a high third-down passer rating.
  • Chicago Bears (2022–23): Instrumental in the development of Justin Fields, working on the balance between Fields’ dynamic rushing ability and his passing growth.
  • Minnesota Vikings and earlier roles: Multiple offensive roles that exposed him to zone concepts, timing-based passing games and player-specific development work.

Those stops illustrate a consistent theme: Janocko has coached or worked alongside quarterbacks at several stages of their careers — young, mobile signal-callers and seasoned veterans alike. That versatility is a useful attribute for a Raiders roster that could blend young talent with experienced pieces.

What to expect schematically

  • Continuity with Kubiak’s offense: Expect West Coast elements, quick timing throws, and a willingness to use RPOs and run-pass complement concepts. Kubiak’s presence means playcalling continuity, with Janocko handling game-planning and QB preparation.
  • Emphasis on quarterback mechanics and decision-making: Janocko’s track record suggests attention to completion percentage, pre-snap reads and third-down efficiency.
  • Adaptability: Janocko has worked with both mobile and pocket passers, which should let the Raiders tailor their approach to the personnel they actually have — and the likely roster additions in the offseason and draft.

The roster fit and implications

  • Quarterback development: If the Raiders are leaning into a young QB (including any 2026 draft pick or recent acquisition), Janocko’s experience with young signal-callers will be central to their progression.
  • Offensive line and run game: The Raiders’ 2025 offense struggled in many areas. Janocko’s arrival won’t instantly fix line play or run-blocking, but his history of integrating passing concepts that help neutralize defensive pressure could buy time for the unit to improve.
  • Coaching continuity: Several members of Kubiak’s Seattle staff are joining Las Vegas, which suggests a cohesive installation process and a quicker ramp-up during spring and training camp.

Things to watch this season

  • How early Janocko’s concepts appear in offseason practices and whether the offense shows cleaner timing and fewer turnovers in the preseason.
  • Quarterback progress on completion rate, third-down conversion and decision-making under pressure — areas Janocko has influenced in prior stops.
  • Play-caller dynamics between Kubiak and Janocko in games: will Kubiak maintain playcalling control, or will Janocko have in-game autonomy on certain packages?

A few data-backed expectations: Seattle’s offense was top-10 in scoring during the Super Bowl season Janocko coached there; Derek Carr’s efficiency numbers under Janocko in New Orleans were notably strong; and Justin Fields’ growth while Janocko was on staff with the Bears showed an ability to coach both the pass and QB mobility into the offense.

Quick snapshot of why fans should care

  • This is a hire that blends familiarity with fresh authority: a trusted Kubiak aide stepping into a coordinator role.
  • The Raiders’ offense needs culture and structure; Janocko’s background suggests he brings both teaching chops and modern schematic ideas.
  • For fans hoping to see a turnaround, this hire raises legitimate optimism — not guaranteed, but sensible.

Immediate takeaways

  • Janocko’s hire signals a continuity-first rebuild under Klint Kubiak’s leadership.
  • He brings strong quarterback development credentials and experience from a recent championship staff.
  • Expect a West Coast/RPO-leaning offense with an emphasis on timing, third-down efficiency and quarterback mechanics.

My take

This is a smart, low-drama hire. The Raiders didn’t bring in a headline-grabbing, high-variance play-caller; they added a detailed-minded coach from a successful staff who knows how to teach quarterbacks and install structure. For a team that needs foundational upgrades more than flashy schematic changes, Janocko fits the checklist: familiar to the head coach, proven in player development roles, and experienced across multiple offensive systems. The bigger question remains the same — can the Raiders fix the offensive trenches and give Janocko a quarterback and line that let his concepts breathe? If they do, this hire could look very shrewd by season’s end.

Sources




Related update: We recently published an article that expands on this topic: read the latest post.


Related update: We recently published an article that expands on this topic: read the latest post.

Computer Picks: Ohio State Favored | Analysis by Brian Moineau

Hook: The digital coin flip that everyone’s watching

Every year the Ohio State vs. Michigan rivalry churns out theatre — last-second heroics, controversial calls, and the kind of angst that keeps alumni awake. Lately, though, another character has entered the drama: the computer. The ESPN Football Power Index (FPI) and other predictive models don’t cheer, but they do simulate the matchup thousands of times and hand us a clear, if clinical, verdict. Let’s unpack what the machines are saying, why it matters, and what it might mean the next time the Wolverines and Buckeyes meet.

What the models are actually predicting

  • ESPN’s FPI runs tens of thousands of simulated seasons and gives Ohio State the edge — roughly a 62–72% chance to win, depending on the specific writeup — with projections that place the Buckeyes as the stronger team on paper heading into The Game. (si.com)
  • Other models (SP+, TeamRankings and College Football HQ compilers) paint similar — but not identical — pictures. Some show Ohio State narrowly favored (mid-single digits), others give Michigan a realistic upset window or even a slight edge depending on tempo and matchup assumptions. That spread of model results is exactly what makes the analytics conversation fun: the machines agree Ohio State is favored, but they disagree on by how much. (si.com)

Why the computer picks matter (beyond bragging rights)

  • Objectivity: Models strip away fandom and focus on underlying metrics — offensive and defensive efficiency, tempo, adjustments for opponent quality — to create repeatable forecasts. That helps frame objective expectations when emotions run high. (si.com)
  • Storyline clarity: When multiple models converge on a result — for example, Ohio State being the statistical favorite — that consensus becomes part of the narrative. Coaches, media and bettors notice, and that shapes game-week coverage and public pressure. (si.com)
  • They’re not prophecy: Simulations are only as good as their inputs. Injuries, turnovers, weather, and one-off genius (or collapse) change the outcome in real time. The models quantify probability, they don’t eliminate uncertainty. (si.com)

What’s driving the Buckeyes’ projection

  • Statistical strength: Ohio State’s offensive and defensive efficiency metrics — from ESPN’s FPI and SP+’s tempo-adjusted numbers — tend to be among the nation’s best in seasons when they’re favored. Those sustained efficiencies push the simulations toward the Buckeyes in most scenarios. (espntoday.com)
  • Playoff implications and schedule: When a team is stacked on both sides of the ball and has demonstrated consistent results against quality opponents, the simulators weight that track record heavily — especially in a season where playoff positioning matters. (sports.yahoo.com)

Why Michigan still has life (and why the upset probability isn’t trivial)

  • Rivalry variance: The Game has its own ecology — coaching familiarity, emotional spikes, and strategic wrinkles that models can’t fully capture. Michigan’s recent success in the series proves that past outcomes and hard-to-quantify momentum matter. (apnews.com)
  • Matchup factors: If Michigan can force turnovers, control time of possession, and neutralize Ohio State’s big-play areas, even an underdog team can tilt the win probability. Models often show these scenarios as lower-probability outcomes, but in a one-off rivalry game those outcomes happen more often than you’d think. (si.com)

Reading between the lines: what the spread of model picks shows

  • Consensus with uncertainty: The analytic chorus leans toward Ohio State, but spread differences (some models favoring OSU by two touchdowns, others calling a one-score game or Michigan slight favorite) reveal a key truth — the matchup is sensitive to small changes.
  • Usefulness, not finality: Think of model predictions as a sophisticated referee’s whistle: they stop the “who should win” chaos long enough to focus planning, strategy and conversation. They don’t make the call on the field. (si.com)

What to watch on game day

  • Turnover margin: Analytics consistently show turnovers swing single-game probabilities more than almost any other factor. Whoever protects the ball and forces giveaways will likely decide the game. (si.com)
  • Third-down and red-zone efficiency: These compressed situations amplify the value of execution; the team that converts and limits conversions gains outsized returns in tight simulations. (espntoday.com)
  • Clock and tempo control: If Michigan dictates pace and keeps Ohio State’s offense off the field, upset chances rise. Conversely, Ohio State’s ability to score quickly and create explosive plays is their shortcut to validating the computer’s favorite tag. (si.com)

What the predictive story means for fans and bettors

  • Fans: Embrace the drama. The numbers add color to the story but don’t steal the punchlines. Rivalry games regularly produce outcomes outside the most-likely simulation. (si.com)
  • Bettors: Models are a tool — compare them, understand assumptions (home field, injuries, weather), and never treat a single projection as gospel. The spread between models is often where value appears. (si.com)

Final thoughts

The computers give us a fascinating window into probability and expectation. For Ohio State vs. Michigan, the machines currently favor the Buckeyes — sometimes comfortably, sometimes narrowly — but every simulation still includes scenarios where the underdog wins. That uncertainty is the heart of college football’s appeal: statistics inform the story, but they don’t write the final chapter. On game day, the stadium — and the humans on the field — will get the last word.

Sources




Related update: We recently published an article that expands on this topic: read the latest post.


Related update: We recently published an article that expands on this topic: read the latest post.