Is Wichita State really the most ‘unlucky’ team in college basketball?
At the midpoint of the men’s basketball season, Wichita State has landed at an uncomfortable extreme in the analytics world.
According to KenPom, the Shockers are ranked No. 365 out of 365 Division I teams in the “luck” category. It’s a measure, at first glance, that seems to suggest the basketball gods have frowned upon them so far this season. Missed calls. Bad bounces. Unlucky things happening at the wrong time.
But that framing, while tempting, misses what the metric is actually trying to tell us about the Shockers entering Wednesday’s 6:30 p.m. game against Rice at Koch Arena.
What KenPom labels “luck” is not a judgment on fate. It is a mathematical description of unexplained performance — the gap between how many games a team should have won based on its possession-by-possession play and how many games it actually won.
And that distinction matters when trying to understand what has gone wrong, and what might still change, for a WSU team that is 9-6 overall and 2-6 in games decided by six points or fewer.
What KenPom’s luck is really measuring
At its core, the luck metric asks a simple question: Did a team get what its play deserved?
KenPom evaluates every game through efficiency — how many points a team scores and allows per possession — then uses a probabilistic model known as the Correlated Gaussian Method to estimate what a team’s winning percentage should look like over time.
The logic is straightforward. If two teams play a lot of close games, one should not consistently win all of them — or lose all of them. Over a large enough sample, those outcomes tend to balance out.
KenPom’s luck number simply measures how far reality deviates from that expectation.
Positive number? You have won more games than your efficiency profile predicts. Negative number? You have won fewer.
And as of Jan. 6, WSU’s number is the largest negative in the country.
Why Wichita State basketball ranks last in luck
The raw facts explain how the Shockers wound up here.
WSU is 2-6 in games decided by six points or fewer, the second-worst winning percentage among the 20 teams nationally that have played at least seven such games. Only Princeton (1-7) has been worse.
- 62-59 loss at Boise State
- 70-65 loss to Saint Mary’s
- 76-70 loss to Colorado State
- 75-70 loss to Western Kentucky
- 74-69 win at Northern Iowa
- 61-58 loss to DePaul
- 75-70 win at UAB
- 104-100 loss at Charlotte
The slide began in November when an 0-3 trip to the Bahamas produced three losses by a combined 16 points, immediately dragging the Shockers toward the bottom of the luck rankings.
But what pushed WSU all the way to last in the country was the collapse at Charlotte — a double-overtime loss that saw the Shockers blow a 16-point lead and dramatically widened the gap between performance and results.
According to the Gaussian Method, WSU has underperformed its estimated winning percentage by .149, which translates to roughly 2.24 wins. In plain terms, the model suggests the Shockers’ statistical profile looks more like an 11-4 team rather than a 9-6 team.
What Shocker fans should take from the luck ranking
When fans hear that WSU is ranked last in luck, it’s normal to think the Shockers have been on the wrong end of tipped balls, bad calls and crazy shots.
The more precise description for what KenPom tracks is unexplained performance.
That unexplained gap can come from randomness, like a bad call here or an unlucky bounce there. But it can also come from late-game execution, shot selection under pressure and defensive breakdowns in critical moments.
The model does not differentiate. It simply flags that the outcomes do not align with the possession-by-possession quality of play. For the Shockers, the pattern has been uneven: competitive games, solid efficiency margins, evidence they can finish (like at UNI and UAB) but too many nights where they have not.
Calling that “bad luck” risks letting the team off the hook. The data does not mean to say WSU deserved to win those games. It says that, historically, teams that play at the quality of WSU usually win more of them.
So does Wichita State have a crunch time problem?
The numbers can be read as criticism of WSU head coach Paul Mills and his team for underperforming when games tighten.
But the honest answer is that the data supports both caution and scrutiny.
On one hand, the sample size is still relatively small. WSU has played just eight games decided by six points or fewer. In analytical terms, that’s not enough volume to make a firm declaration about the team’s clutch identity, especially when late-game possessions can swing wildly. The very premise of KenPom’s luck metric is that close games are volatile and often regress toward the mean over time.
On the other hand, the pattern is hard to ignore. WSU has repeatedly been in position to win and has not closed the deal. When underperformance in close games stacks up across different opponents, venues and game scripts, it shifts the discussion from pure randomness toward execution — decision-making, communication and poise under pressure.
The KenPom luck ranking is neither an excuse nor a prophecy.
It does not mean WSU is doomed to keep losing close games. In fact, history suggests the opposite: Teams at the extreme ends of the luck spectrum often regress toward the mean as the season progresses.
But it also does not guarantee that wins are coming. Regression only happens if the underlying habits improve — better decision-making late, better communication, better free-throw execution in pressure moments.
So no, WSU is not cursed with the worst luck in the country.
For now, the safest conclusion is this: It’s premature to label the Shockers as definitively bad in close games, but the consistency required to turn those situations into wins has not yet materialized.
What happens over the next two months will determine whether this season’s luck ranking is viewed as statistical noise or an early red flag.
This story was originally published January 6, 2026 at 6:02 AM.
.jpg)