Project where the expected threat (xT) model used in soccer analytics is applied to ice hockey by including missed shots, rebounding, and power play situations.

Co-authored with Matti Honkanen.

Project analyzing a new efficiency metric for football, viz. the expected shots (xS). The metric measures how successful a team is in generating shot opportunities.

Co-authored with Ville-Pekka Inkilä.

Study describing how shooting fouls influence the plus-minus statistics in FIBA competitions through the so called “substitution effect”.

Co-authored with Topi Halme.

Paper presenting the relationship between basketball teams’ four factors and efficiency ratings as defined by Dean Oliver.

Co-authored with Topi Halme.

Project analyzing the expected runs in Finnish baseball (pesäpallo) using a discrete-time Markov chain model

Co-authored with Aku Kettunen.

Conference presentation proposing an improved expected threat (xT) model that includes turnovers and a more realistic description of game dynamics.

Co-authored with Ville-Pekka Inkilä.

Master’s thesis representing a basketball league using a state-space model. Kalman filter algorithm is used to estimate team strengths and predict future outcomes.

Bi-weekly NBA podcast — in Finnish and in long play format.

Co-hosted with Olli Segersvärd.

Sports are an exciting and entertaining application for basic and more advanced topics in mathematical and statistical modeling.

Doctoral dissertation presenting two new approaches to simulation metamodeling.

Thesis advisor Kai M. Virtanen.