diff --git a/src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.cpp b/src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.cpp
new file mode 100644
index 000000000..f6161fac2
--- /dev/null
+++ b/src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.cpp
@@ -0,0 +1,121 @@
+#include "storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h"
+
+#include <vector>
+#include <memory>
+
+#include "storm/utility/macros.h"
+#include "storm/utility/FilteredRewardModel.h"
+
+#include "storm/modelchecker/results/ExplicitQualitativeCheckResult.h"
+#include "storm/modelchecker/results/ExplicitQuantitativeCheckResult.h"
+#include "storm/modelchecker/results/ExplicitParetoCurveCheckResult.h"
+
+#include "storm/modelchecker/helper/infinitehorizon/SparseNondeterministicGameInfiniteHorizonHelper.h"
+#include "storm/modelchecker/helper/utility/SetInformationFromCheckTask.h"
+
+#include "storm/logic/FragmentSpecification.h"
+
+#include "storm/models/sparse/StandardRewardModel.h"
+
+#include "storm/settings/modules/GeneralSettings.h"
+
+#include "storm/exceptions/InvalidStateException.h"
+#include "storm/exceptions/InvalidPropertyException.h"
+#include "storm/exceptions/InvalidArgumentException.h"
+
+namespace storm {
+    namespace modelchecker {
+        template<typename SparseSmgModelType>
+        SparseSmgRpatlModelChecker<SparseSmgModelType>::SparseSmgRpatlModelChecker(SparseSmgModelType const& model) : SparsePropositionalModelChecker<SparseSmgModelType>(model) {
+            // Intentionally left empty.
+        }
+
+        template<typename SparseSmgModelType>
+        bool SparseSmgRpatlModelChecker<SparseSmgModelType>::canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState) {
+            storm::logic::Formula const& formula = checkTask.getFormula();
+
+            if (formula.isInFragment(storm::logic::rpatl().setCoalitionOperatorsAllowed(true).setRewardOperatorsAllowed(true).setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setLongRunAverageOperatorsAllowed(true))) {
+                return true;
+            } else {
+                return false;
+            }
+        }
+
+        template<typename SparseSmgModelType>
+        bool SparseSmgRpatlModelChecker<SparseSmgModelType>::canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const {
+            bool requiresSingleInitialState = false;
+            if (canHandleStatic(checkTask, &requiresSingleInitialState)) {
+                return !requiresSingleInitialState || this->getModel().getInitialStates().getNumberOfSetBits() == 1;
+            } else {
+                return false;
+            }
+        }
+
+        template<typename SparseSmgModelType>
+        std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::checkGameFormula(Environment const& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) {
+            STORM_LOG_DEBUG("checkGameFormula matrix: " << this->getModel().getTransitionMatrix().getDimensionsAsString());
+            STORM_LOG_DEBUG("checkGameFormula playerindices:");
+            STORM_LOG_DEBUG("checkGameFormula matrix:  \n" << this->getModel().getTransitionMatrix());
+            // TODO set min max row groups w.r.t. coalition
+            storm::logic::GameFormula const& gameFormula = checkTask.getFormula();
+            storm::logic::Formula const& subFormula = gameFormula.getSubformula();
+            STORM_LOG_DEBUG(gameFormula);
+            if (subFormula.isRewardOperatorFormula()) {
+                return this->checkRewardOperatorFormula(env, checkTask.substituteFormula(subFormula.asRewardOperatorFormula()));
+            } else if (subFormula.isLongRunAverageOperatorFormula()) {
+                return this->checkLongRunAverageOperatorFormula(env, checkTask.substituteFormula(subFormula.asLongRunAverageOperatorFormula()));
+            }
+            STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "checkGameFormula NYI");
+        }
+
+        template<typename ModelType>
+        std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<ModelType>::checkRewardOperatorFormula(Environment const& env, CheckTask<storm::logic::RewardOperatorFormula, ValueType> const& checkTask) {
+            storm::logic::RewardOperatorFormula const& formula = checkTask.getFormula();
+            std::unique_ptr<CheckResult> result = this->computeRewards(env, formula.getMeasureType(), checkTask.substituteFormula(formula.getSubformula()));
+
+            return nullptr;
+        }
+
+        template<typename ModelType>
+        std::unique_ptr<CheckResult> AbstractModelChecker<ModelType>::computeRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::Formula, ValueType> const& checkTask) {
+            storm::logic::Formula const& rewardFormula = checkTask.getFormula();
+            if (rewardFormula.isLongRunAverageRewardFormula()) {
+                return this->computeLongRunAverageRewards(env, rewardMeasureType, checkTask.substituteFormula(rewardFormula.asLongRunAverageRewardFormula()));
+            }
+            STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "The given formula '" << rewardFormula << "' is invalid.");
+        }
+
+        template<typename ModelType>
+		std::unique_ptr<CheckResult> AbstractModelChecker<ModelType>::checkLongRunAverageOperatorFormula(Environment const& env, CheckTask<storm::logic::LongRunAverageOperatorFormula, ValueType> const& checkTask) {
+            storm::logic::LongRunAverageOperatorFormula const& formula = checkTask.getFormula();
+			//STORM_LOG_THROW(formula.getSubformula().isStateFormula(), storm::exceptions::InvalidArgumentException, "The given formula is invalid.");
+
+            std::unique_ptr<CheckResult> result = this->computeLongRunAverageProbabilities(env, checkTask.substituteFormula(formula.getSubformula().asStateFormula()));
+
+            return result; //TODO check bounds.
+        }
+
+        template<typename SparseSmgModelType>
+        std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) {
+            STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "NYI");
+        }
+
+        template<typename SparseSmgModelType>
+        std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) {
+            auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
+            storm::modelchecker::helper::SparseNondeterministicGameInfiniteHorizonHelper<ValueType> helper(this->getModel().getTransitionMatrix(), this->getModel().getPlayerActionIndices());
+            storm::modelchecker::helper::setInformationFromCheckTaskNondeterministic(helper, checkTask, this->getModel());
+			auto values = helper.computeLongRunAverageRewards(env, rewardModel.get());
+
+            //std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(values));
+            //return result;
+            STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "NYI");
+        }
+
+        template class SparseSmgRpatlModelChecker<storm::models::sparse::Smg<double>>;
+#ifdef STORM_HAVE_CARL
+        template class SparseSmgRpatlModelChecker<storm::models::sparse::Smg<storm::RationalNumber>>;
+        //template class SparseSmgRpatlModelChecker<storm::models::sparse::Smg<storm::RationalFunction>>; TODO are we going to need this?
+#endif
+    }
+}
diff --git a/src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h b/src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h
new file mode 100644
index 000000000..91bb09206
--- /dev/null
+++ b/src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h
@@ -0,0 +1,38 @@
+#ifndef STORM_MODELCHECKER_SPARSESMGRPATLMODELCHECKER_H_
+#define STORM_MODELCHECKER_SPARSESMGRPATLMODELCHECKER_H_
+
+#include "storm/modelchecker/propositional/SparsePropositionalModelChecker.h"
+#include "storm/models/sparse/Smg.h"
+#include "storm/utility/solver.h"
+#include "storm/solver/LinearEquationSolver.h"
+#include "storm/storage/StronglyConnectedComponent.h"
+
+namespace storm {
+    namespace modelchecker {
+
+        template<class SparseSmgModelType>
+        class SparseSmgRpatlModelChecker : public SparsePropositionalModelChecker<SparseSmgModelType> {
+        public:
+            typedef typename SparseSmgModelType::ValueType ValueType;
+            typedef typename SparseSmgModelType::RewardModelType RewardModelType;
+
+            explicit SparseSmgRpatlModelChecker(SparseSmgModelType const& model);
+
+            /*!
+             * Returns false, if this task can certainly not be handled by this model checker (independent of the concrete model).
+             * @param requiresSingleInitialState if not nullptr, this flag is set to true iff checking this formula requires a model with a single initial state
+             */
+            static bool canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState = nullptr);
+
+            // The implemented methods of the AbstractModelChecker interface.
+            virtual bool canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const override;
+            virtual std::unique_ptr<CheckResult> checkGameFormula(Environment const& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) override;
+            virtual std::unique_ptr<CheckResult> checkRewardOperatorFormula(Environment const& env, CheckTask<storm::logic::RewardOperatorFormula, ValueType> const& checkTask) override;
+
+            virtual std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) override;
+            virtual std::unique_ptr<CheckResult> computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) override;
+        };
+    } // namespace modelchecker
+} // namespace storm
+
+#endif /* STORM_MODELCHECKER_SPARSESMGRPATLMODELCHECKER_H_ */