Efficiency vs droughts
Efficient offenses go cold less, but some teams freeze far more, or less, than their efficiency predicts. This crosses every team’s 2026 drought rate with its offensive efficiency (Barttorvik, KenPom-style) and ranks the teams that defy the trend.
Drought rate vs offensive efficiency
Each dot is a team’s 2026 season. X = offensive efficiency (adj. O, higher is better); Y = droughts per game. The solid line is the league trend; teams above it are streakier than their offense implies, below it steadier.
Streaky: freeze more than efficiency predicts
Swipe to see more →
| Team | KP | Dr/Gm | Δ |
|---|---|---|---|
| 113 | 2.00 | +0.64 | |
| 286 | 2.28 | +0.63 | |
| 57 | 1.78 | +0.55 | |
| 170 | 2.03 | +0.51 | |
| 105 | 1.88 | +0.48 | |
| 276 | 2.00 | +0.47 | |
| 302 | 2.09 | +0.46 | |
| 59 | 1.64 | +0.44 | |
| 172 | 1.76 | +0.44 | |
| 67 | 1.59 | +0.41 |
Steady: freeze less than efficiency predicts
Swipe to see more →
| Team | KP | Dr/Gm | Δ |
|---|---|---|---|
| 277 | 0.87 | −0.70 | |
| 160 | 0.74 | −0.65 | |
| Lindenwood Lions | 272 | 1.12 | −0.57 |
| 178 | 0.74 | −0.56 | |
| 269 | 1.06 | −0.55 | |
| 137 | 0.93 | −0.52 | |
| 317 | 1.14 | −0.50 | |
| 71 | 0.71 | −0.49 | |
| 159 | 0.97 | −0.48 | |
| 93 | 0.77 | −0.47 |
Reading the chart
Better offenses go cold less, across the 236 teams with a KenPom-style efficiency match, drought rate and offensive efficiency correlate at roughly −0.69. That much is intuitive. The useful signal is the residual: how far a team sits above or below the line its offense predicts.
Teams above the line are streaky, they freeze more than an offense that good should. A top-60 team that droughts like a mid-major is a fragile-favorite flag the ranking alone can’t see. Teams below the line are steady, they grind out possessions more reliably than their efficiency implies.
Coverage: this view covers 236 of 365 D1 teams with enough games, the ones whose name resolves to a ratings row. The unmatched tail (mostly name-variant mismatches) is excluded, not silently folded in. Extreme residuals also skew toward low-majors (small samples, weaker schedules); the Power 4 filter isolates the credible high-major outliers.
Related: correlations · forcing defenses · damage velocity