Considering　that　in　sport　videos　the　adjacent　frames　tend　to　have　great　similarity,　this　paper　mainly　extracted　and　analyzed　the　video　frames　which　are　most　important　for　the　user　to　perceive　quality　as　a　test　sequence　and　propose　a　fully　reference　assessment　method　based　on　the　temporal　features　and　spatial　features.　Sports　videos　contain　more　details,　and　pictures　change　sharply.　According　to　this　characteristic,　the　method　mainly　used　the　SI　(Spatial　perceptual　Information)　and　TI　(Temporal　perceptual　Information)　to　analyze　the　feature　of　every　frame　of　ESPN　sport　videos.　Through　the　analysis　of　SI　and　TI,　this　paper　extracted　frames　with　high　temporal　perceptual　Information　and　high　spatial　perceptual　information　as　a　test　sequence.　Then,　every　frame　in　the　sequence　would　be　test　referring　to　its　original　corresponding　frame　to　calculate　PSNR　(Peak　signal-to-noise　ratio).　Finally,　this　paper　calculated　the　average　PSNR　as　the　video　quality　assessment　standards.　This　paper　took　rugby,　basketball　and　hockey　as　experimental　subjects.　Through　analyzing　the　PSNR　of　videos　corresponding　to　different　quality　levels　(better　quality,　general　quality　and　poor　quality),　this　paper　determined　the　PSNR　scopes　of　different　quality　levels　that　can　be　used　practically.　The　experimental　results　showed　that　the　analysis　method　put　forward　in　this　paper　based　on　the　characteristics　of　SI　and　TI　could　be　used　on　ESPN　sports　video　network　platforms　and　others　like　it.　It　automatic　analyzed　and　judged　sports　video　quality　of　different　bit　rates　in　real　time.　It　has　a　high　Spearman　rank　order　correlation　coefficient　(SROCC)　with　the　subjective　quality　assessment.　©　2018　Totem　Publisher,　Inc.　All　rights　reserved.