Hot-spotting containment rates were determined for 18 fires of various intensities in two common boreal forest cover types: 8 in jack pine (Pinus banksiana Lamb.) and 10 in black spruce (Picea mariana (Mill.) B.S.P.). Hot-spotting containment rates did not differ significantly between the two cover types. Correlation coefficients showed that hot-spotting containment rates were more closely related to fire behavior than to weather variables measured as part of the Canadian Forest Fire Weather Index System. Hot-spotting containment rate (HCR; m/man-hour) may be predicted based on rate of spread (ROS; m/min) and flame length (FL; m) using the following model: HCR = exp(6.0140 - 0.1830ROS - 0.1201FL). This model was fitted using weighted nonlinear regression; the R2-value was 0.76.