• Week 47: #FreeThrowsMatter — But History Shows Otherwise For Syracuse Basketball

    By: The Boston Orange — @TBO44

    Last night I was in a strange mix of pain and optimism like many other ‘Cuse fans. On one hand, it finally feels like we have a team that belongs in these big games again. On the other hand… how do you miss 17 free throws in a single game?! This was a game Syracuse should have won, and as Autry said, “There are no moral victories.” Correct answer — but seriously, how is the free throw shooting not getting any better?

    After the Monmouth game, where Syracuse shot a brutal 19/33 (58%) and we all watched JJ Starling fight through the yips, I thought it couldn’t get worse. I was wrong. Last night against Houston was worse. (Side note: Not one media reporter asked about free throw shooting in the postgame. Blasphemous.) Through five games, Syracuse is shooting 56.1% from the line — ranking 364th out of 365 teams. Remove Donnie Freeman (who is missing the Vegas tournament) and it drops to 46.2%. Yes, forty-six percent.

    But this morning, I woke up with a different perspective. Syracuse basketball — historically — has always been bad at free throw shooting. It almost seemed to be a part of the identity. Long, athletic, physical guys… who couldn’t make free throws. So I dug through the data since 2000 to see if memory matched reality.

    The Mason-Dixon Line of Syracuse Free Throw History

    There’s actually a strong inverse correlation between free throw percentage and team success. The historical FT% average is 69.5%, and it splits Syracuse history in two:

    • Above 69.5% = pain
    • Below 69.5% = prosperity

    Here’s the full breakdown year-by-year:

    Year FT% Wins
    2020-2178.4%18
    2022-2374.9%17
    2017-1874.1%23
    2019-2074.0%18
    2021-2273.7%16
    2016-1773.4%19
    2023-2472.1%20
    2000-0171.5%25
    1999-0070.5%26
    2024-2570.5%14
    2013-1470.3%28
    2002-0369.4%30
    2006-0769.3%24
    2011-1269.1%34
    2015-1668.3%23
    2018-1968.1%20
    2012-1367.5%30
    2009-1067.1%30
    2007-0866.8%21
    2004-0566.4%27
    2014-1566.0%18
    2010-1165.9%27
    2001-0265.0%23
    2005-0664.3%23
    2008-0963.9%28
    2003-0463.6%23
    2025-2656.1%4

    It gets really interesting when you look at the table below which summarizes this contrast. Overwhelmingly, teams below the 69.5% line had more success. This may seem surprising until you realize 2018-19 was the last time Syracuse had a season shooting below 69.5%, which happens to be Buddy Boeheim’s freshman season. Since then our rosters have lacked athleticism, lacked size, lacked defensive ability but attempted to make up for that with shooting. This has never been the recipe for success at ‘Cuse.

    Above 69.5% Below 69.5%
    Avg Wins20.425.4
    20+ Win Seasons514
    NCAA Tournaments511
    Final Fours03
    National Titles01

    A Good Omen?

    Syracuse absolutely needs to get back in the gym and grind out free throws. They lost to Houston because of it, and they will continue to lose games to good teams if they don’t improve. But historically, Syracuse’s best teams were built on athleticism, defense, physicality… and yes, poor foul shooting.

    This may sound crazy, but maybe our inability to make free throws is good omen. Maybe this is a sign from the basketball God’s that we are back. Maybe this is a subtle sign to ‘Cuse fans that it is time to get excited again. Syracuse basketball can’t shoot free throws again — and strangely enough, it might be the best thing that’s happened in years.

    Go Orange – Beat Kansas

  • KenPom’s Caste System: History Driving Narrative

    By: The Boston Orange @TBO44

    Around 2000 years ago India solidified into their culture a system of immobility, a system where your family name decided your fate. The Caste System. No matter how hard you worked, no matter how much you changed and improved you were always going to be stuck where you started. This is quite literally the opposite of the American Dream where we reward hard work, we reward self-improvement and champion upward mobility.

    Ken Pomeroy loves the caste system. He loves it so much that he created a predictive metric for college basketball so he could live out his fantasy for laughing at the “untouchables”. It’s praised as a predictive powerhouse, but in practice its early-season structure feels less like a true performance index and more like an indictment on past failures.

    In that system, KenPom is the caste, and Ken is the king.

    The Metrics

    When the NCAA Tournament committee makes decisions, they consider a variety of data: results-based metrics, resume-based metrics, and predictive ones. Here, we’re zooming into predictive systems — the kind that analysts, media, and bettors lean on most early in the season.

    I want to focus on two metrics (however I will give a quick opinion on the main ones cited most frequently):

    • BPI (ESPN) — sucks, black-box, hard to scrutinize because we don’t even know what it is
    • NET (NCAA) – Will write another article on this, ruining college basketball scheduling (no Colgate or Cornell on Cuse’s schedule)
    • KenPom (Ken Pomeroy) — King Ken’s trusted predictive model
    • Torvik (Bart Torvik) — Think American Dream, newer, more transparent, updated for today’s roster volatility

    The one you have probably not heard of here is Torvik. I believe Torvik is the most complete tool and leans into modern realities — roster turnover, NIL-era transfers, and the chaos of year-to-year change. We will get into them after dismantling King Ken’s master excel sheet.

    The Caste System Problem: Historical Weighting

    The issue with KenPom is less about the math and more about the philosophy behind it.

    In an era where team rosters look more like a wild west version of NBA free agency than traditional college continuity, KenPom still leans heavily on history — especially early in the season. Based on model commentary and public estimates from my research:

    • November–December: 60–70% of a team’s rating is drawn from preseason data, last season’s performance, recruiting, and reputation.
    • January–February: historical data still makes up roughly 30–40% of the rating.

    It’s not bad to consider where a team came from — returning production, recruiting, coaching pedigree all matter. But when those factors outweigh actual on-court results for weeks, you end up locking in artificial ceilings and floors.

    The result? Some teams can’t climb fast enough, while others coast on inflated reputations long after their play warrants it. This has very real consequences on Selection Sunday. Look at last season’s bubble conversation, and the table below. Analysts leaned on KenPom to separate North Carolina and West Virginia — but their resumes told a different story. How can you look at these teams and think UNC should be 20 positions higher in any metric?

    However, that is not my main point. King Ken supporters will point out that by Selection Sunday the historical weight is negligible (even though I still doubt that based on the table I showed below) so why does it matter if the early season ratings restrict mobility? NARRATIVE. Humans select the 37 at-large bids, not computers. For months, KenPom posts rankings that are factually incorrect. They have little to no bearing on the actual basketball being played on the court that season. Case and point; WVU vs UNC. UNC was propped up by the previous years accomplishments, whereas WVU was always fighting the system pushing them down. The narrative was set.

    Metric North Carolina West Virginia
    2023–24 Overall Record 29–8 9–23
    KenPom Preseason Rank 14 87
    KenPom on Selection Sunday 33 53
    2024–25 Record (Selection Sunday) 22–12 19–13
    Q1 Record 1–12 6–10
    Torvik Final Ranking 38 32
    At-Large Bid? Yes No

    Enter Bart Torvik: Our Potential Savior

    Bart Torvik’s model is built for today. He doesn’t cling to last year’s data the way KenPom does. Instead, his system prioritizes who teams actually are in the current season, using little to no historical data after the first ball is tipped. Below is a summary of how he weighs games in season:

    • Games ≤ 40 days old: 100% weight
    • Games 40–80 days old: weight gradually decays
    • Games ≥ 80 days old: floor weight at 60%

    The result? Rankings that reflect performance in the current system, not projections from before anyone played a minute. A metric that makes sense. Let’s take a look at how Cuse stacks up in KenPom and Torvik across 2 games (sorry I wrote 90% of this prior to Drexal then was too hungover to finish it out before the game):

    Category Torvik KenPom
    Overall Ranking 4 58
    Adjusted Offense 162 60
    Adjusted Defense 1 64

    Anyone that has watched any Syracuse basketball through these games knows one thing for sure – Torvik is an astronomically better representation of this team. For any metric to have our offense BETTER THAN our defense immediately invalidates it for me. KenPom’s historical inputs are what drives this. Now obviously I am not saying Syracuse is the #4 team in the nation overall, but Torvik is admittedly volatile early in the season as it gathers data. The bottom line is, I would rather have a volatile metric based on in-season data than a stagnant metric using data that is irrelavent.

    What Needs to Change

    Here are the two things that need to happen going forward:

    1. Torvik should completely replace KenPom. This isn’t 2010 anymore, historical data in college basketball means basically nothing. The Torvik model is a better representation of the state of college athletics.
    2. Hold off on widely publishing public rankings until January 1. Let the real performance data settle in first. This eliminates the volatility issue, and the creation of narratives. Let the AP poll do that (they have about as much credibility as me at this point).

    Final Takeaway

    This whole article seems like a bash on Ken Pomeroy, and it is. However, that is not because it is bad math but bad data inputs. KenPom has done incredible work over the years. It’s a powerful predictive tool. But college basketball — and the way teams are built — has evolved and therefore Selection Sunday tools need to evolve as well. Bart Torvik has created the evolved tool, we need to embrace it.

    If the caste system never truly resets, then real mobility is just an illusion. That’s not how basketball should work. Let’s topple King Ken and let Bart rise.

  • Is This the Worst Syracuse Football Offense of the Millennium?

    By: The Boston Orange @TBO44

    Today is a typical Monday — commuting to work, listening to the Brent Axe postgame show, thinking about how much I hate Rickie Collins, and generally just getting progressively more frustrated with how much the football team sucks.

    If you’re my age as a ‘Cuse fan, outside of a few fluke years, this is just how things go. However, the past six games since Steve got hurt are shockingly bad, particularly on offense.

    I was born in 1999, so I swear I’ve said “this is the worst offensive team we’ve ever had” about ten times — but this year I think it’s real. Which is saying something, because I never thought anything could top the Robinson era.

    So, I decided to hide in an obscure conference room at the office and dig into the numbers to see if this truly is the worst offense I’ve ever seen.

    Disclaimer

    I understand the sample size is small and skewed (only six games and all ACC games), but I think we can all agree the offense hasn’t gotten any better throughout these six games — so to me, this is a totally fair comparison.

    The Post-Angeli Era

    At the end of the day, you can understand an offense with just two stats: Points per Game (PPG) and Total Yards — you need nothing else.

    Team Points Total Yards
    Duke3314
    SMU18389
    Pitt13212
    Georgia Tech16381
    UNC10152
    Miami10285
    AVG11.7288.8

    Mmmmm, yes. 11.7 PPG in 2025.

    For context, only two teams in all of college football are averaging less than that this season:

    • UMass: 9.5 PPG (0–9 overall)
    • Northern Illinois: 11.4 PPG (2–7 overall)

    (Ironically, those two teams are playing this Wednesday in a “Battle for Most Ass!”)

    How It Stacks Up (1999–2025)

    Let’s see how no-Steve ‘Cuse compares to past Syracuse teams in my lifetime (1999–2025). Here’s the complete list we’re working off of:

    Year PPG Total Yards PPG Rank Yard Rank Rank Avg
    200513.8257.4211.5
    202511.7288.8153.0
    200617.4264.0523.5
    200716.4291.9364.5
    202017.8265.3634.5
    200818.1270.2745.5
    201417.1329.3496.5
    201022.2322.8988.5
    200921.2330.48119.5
    202323.5343.3111312.0
    200125.7329.4161013.0
    200423.9349.0121513.5
    201124.2348.2131413.5
    199925.5335.8151213.5
    201527.2320.120713.5
    201322.7376.8102015.0
    202124.9367.3141615.0
    200326.7369.8181717.5
    201625.7440.9172320.0
    200026.7378.4192120.0
    202227.7374.4221820.0
    200228.9376.4241921.5
    201727.4456.3212422.5
    201928.2394.6232222.5
    201230.0476.0252726.0
    202434.1467.6262626.0
    201840.2466.8272526.0

    What the Numbers Say

    The data paints a pretty clear picture: this Post-Angeli Syracuse football season is offensively on par with the worst of the Greg Robinson era. I ranked PPG and Total Yards (1 being the worst) and then took the average of the two to set the ranking as listed from top to bottom. The 2025 season lands at #2, sandwiched between the 2005 and 2006 Greg Robinson seasons.

    It’s both funny and scary to think that we’re comparing a Fran Brown team to a Greg Robinson team in any way, but here we are.

    To be clear, I’m not comparing Fran and Robinson as coaches. I have faith in Fran. He just needs to learn how to adapt when injuries happen, as they historically do at Syracuse at the quarterback position.

    The funniest part of this whole deep dive? The 2005 and 2006 seasons. The context behind those seasons is what also distinguishes between the two coaches. Syracuse QB Perry Patterson played all 23 games over that two-year stretch. You read that right — a Syracuse QB actually started not just one, but two full seasons. The only other guy to do that in my lifetime? Ryan Nassib. In short, Robinson had stability at the position for those years where Fran has chaos.

    Even funnier: all five wins from those seasons were vacated by the NCAA due to some sketchy YMCA payments involving — yep — Perry Patterson.

    Final Thoughts

    So yes, this season Post-Angeli is Robinson-level bad. By my calculations, it’s the second-worst offensive team output of my lifetime.

    Still, if I had to choose? I’ll take this version of bad over Perry Patterson bad any day.