It is quite observed and frequently iterated in the risk literature that
construction projects are prone to various and interrelated risks. Risks that span over a wide
spectrum such as delays, cost overrun, safety, design, construction, environmental,
weathering, legal and operational risks. Delays and cost overruns are considered among the
leading threat risks that a project can experience and suffer. Quantifying those risks is
intricate due to the complex and interrelated nature of construction projects and risks
encountered over them. Isolating and quantifying the effect of those risks (delays and cost
overruns), apart from the overall interacted effect of other risks, is an important performance
indicator. Moreover, it can serve as a useful predictive and proactive tool for Sudanese
construction project management professionals in formulating risk response plans. In order to
achieve such a goal, special circumstances and conditions shall hold valid. Conditions as
holding still the key other risks that are expected to affect the overall project risk interaction.
The aim of this paper is to develop predictive models in order to quantify the magnitude of
delays and cost overruns. This is sought by incorporating non-probabilityreadily accessible
sample (n=19) of solely-steady funding, defined scope, contractual time frame and cost
projects. This is meant to isolate (as much as practical) other than delays and cost over runs
risk factors. To achieve the stated goal, regression statistical techniques and Monte Carlo
simulation are utilized using Minitab, SPSS and @risk softwares. Comparison between the
results obtained by the Monte Carlo simulation and the actual finish durations and costs was
conducted. It was found that the uniform distribution is the best fit for the actual project
durations and Pareto distribution for the actual cost. It was also found that there is a
significant difference between the actual and contractual durations, which resulted in
significantly large delays. In the author opinion this is can be attributed to one or collateral of
the scenarios of owner imposed contractual time frame, non-compensable time extensions,
changes and variations, contract miss -management and lack of accurate project scope
definition