I searched the major model\/handicap sources (BetQL, ESPN Analytics, SportsLine, numberFire via FanDuel, Dimers, Lean.ai \/ other computer models and several reputable market\/analytics sites). Below are the model projections I could find (or reasonably infer from published model outputs \/ market lines):<\/p>\n
Dimers (computer-simulations)<\/strong> \u2014 Memphis 120 \u2014 Phoenix 118<\/strong>. Sports1340 \/ iHeart (computer projection)<\/strong> \u2014 Phoenix 124 \u2014 Memphis 122<\/strong> (their computer model favored Phoenix in that projection).<\/p>\n<\/li>\n ESPN Analytics (public matchup output \/ team PPG)<\/strong> \u2014 ESPN\u2019s matchup data shows Memphis averaging ~122.0 PPG<\/strong> and Phoenix ~116.8 PPG<\/strong>, and ESPN\u2019s matchup predictor favors Memphis<\/strong> (~54.4% win probability). I treat ESPN\u2019s team PPG as their de-facto projected scoring baseline \u2192 Memphis 122 \u2014 Phoenix 117 (rounded)<\/strong> for projection use.<\/p>\n<\/li>\n numberFire (via FanDuel Research output)<\/strong> \u2014 FanDuel\u2019s page publishes numberFire\u2019s win probabilities plus the market consensus spread = -1.5<\/strong> and total = 240.5<\/strong>. Using that publicly shown spread\/total to infer a model-implied final score: Leans.ai \/ other reputable AI models (public preview + market numbers)<\/strong> \u2014 Leans.ai\u2019s public preview lists the same public market numbers (spread \u2248 -1.5, total \u2248 240.5). Using the same (spread + total) inference produces Memphis 121 \u2014 Phoenix 119<\/strong> for the lean\/AI implied projection.<\/p>\n<\/li>\n<\/ol>\n Note about SportsLine \/ BetQL:<\/strong> SportsLine and BetQL publish rich model output but some detailed projected-final-score outputs were behind subscriber paywalls on their pages at the time I checked. BetQL did publish their team-level model outputs and win% (BetQL: Grizzlies ~57.4% model edge) but an explicit final-score line required subscription. Where I used an inference (spread + total \u2192 implied score) I noted it.<\/p>\n<\/blockquote>\n I averaged the five model projections listed above (using the explicit projections when given and the market-implied projections when I inferred them):<\/p>\n Model scores used (Grizzlies \u2014 Suns):<\/p>\n Dimers: 120 \u2014 118<\/strong>.<\/p>\n<\/li>\n Sports1340: 122 \u2014 124<\/strong> (they projected Phoenix 124, Memphis 122).<\/p>\n<\/li>\n ESPN (team-PPG baseline \u2192 rounded): 122 \u2014 117<\/strong>.<\/p>\n<\/li>\n numberFire (implied): 121 \u2014 119<\/strong>.<\/p>\n<\/li>\n Leans.ai (implied): 121 \u2014 119<\/strong>.<\/p>\n<\/li>\n<\/ul>\n Averaged final-score (mean):<\/strong><\/p>\n Memphis Grizzlies \u2248 121.2 \u2192 round to 121<\/strong><\/p>\n<\/li>\n Phoenix Suns \u2248 119.4 \u2192 round to 119<\/strong><\/p>\n<\/li>\n<\/ul>\n Averaged model prediction:<\/strong> Memphis 121 \u2014 Phoenix 119<\/strong> (combined ~240). I generated an independent forecast using:<\/p>\n Pythagorean expectation<\/strong> (team points for \/ against converted to expected win% using a standard NBA exponent). I used publicly reported team scoring\/allowing numbers from the matchup pages (these are the inputs many models start from). (Sources: oddsshark \/ ESPN \/ Covers team stat snapshots used above.)<\/p>\n<\/li>\n Strength of schedule (SOS)<\/strong> context and recent opponents \u2014 both teams have played tough early slates; Phoenix\u2019s recent results show blowouts \/ high point totals and the Suns have given up lots of points recently. Memphis has been dealing with roster injuries but still producing offense.<\/p>\n<\/li>\n Key external factors<\/strong>: injuries & absences, rest\/back-to-back effects, and recent form:<\/p>\n Phoenix:<\/strong> Jalen Green listed GTD<\/strong> (hamstring), Dillon Brooks OUT (groin)<\/strong>; Mark Williams was noted to be managed on back-to-back and may sit the second of a back-to-back. Phoenix has struggled defensively in recent games (gave up 138 to Utah in OT). Sources: ESPN injury report + Reuters.<\/p>\n<\/li>\n Memphis:<\/strong> multiple rotation players are missing (Brandon Clarke, Ty Jerome, Scotty Pippen Jr., Zach Edey on some timelines \u2014 some listed out), but Ja Morant is playing and producing. Memphis is healthier at the primary ball-handling\/scoring role in this matchup.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n Putting that together I model the game as close<\/strong> but slightly favoring Memphis<\/strong>, primarily because:<\/p>\n Memphis\u2019s offense (when Ja Morant is playing) is more stable; Phoenix\u2019s defense has been porous through recent blowouts and Phoenix may be short-handed or managed for minutes on a back-to-back.<\/p>\n<\/li>\n Market lines (spread -1.5, total 240\u2013240.5) and several independent models converge on a close Memphis edge.<\/p>\n<\/li>\n<\/ul>\n My independent predicted score:<\/strong> Memphis 122 \u2014 Phoenix 118<\/strong>. My matchup win probability (subjective + Pythagorean-informed):<\/strong> Memphis ~58% \u2014 Phoenix ~42%<\/strong>. Memphis<\/strong>: several role players listed GTD\/OUT<\/strong> in public injury reports (Vince Williams Jr. GTD, Santi Aldama GTD, Ty Jerome OUT, Scotty Pippen Jr. OUT, Brandon Clarke OUT \u2014 rotation depth impacted). Ja Morant appears active and played recently.<\/p>\n<\/li>\n Phoenix<\/strong>: Jalen Green<\/strong> is listed GTD<\/strong> (hamstring) and Dillon Brooks<\/strong> listed OUT<\/strong> (groin) \u2014 plus management of Mark Williams minutes on the 2nd of back-to-backs. Phoenix gave up 138 to Utah (OT) recently, indicating defensive fragility. Reuters\/ESPN reported these items.<\/p>\n<\/li>\n<\/ul>\n Impact:<\/strong> Phoenix missing or limited guards (Green\/Brooks) reduces their offensive punch and play initiation; Memphis retaining Ja Morant (even with surrounding depth out) keeps their highest-leverage scorer\/playmaker on the floor \u2014 a net advantage for Memphis in a tight game.<\/p>\n What the (reputable) models say \u2014 raw projections & sources I searched the major model\/handicap sources (BetQL, ESPN Analytics, SportsLine, numberFire via FanDuel, Dimers, Lean.ai<\/p>\n","protected":false},"author":7,"featured_media":29854,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[4],"tags":[2307,382,1227,2308,196,310,883,2306],"class_list":["post-29853","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nba","tag-ai-analysis-for-nba","tag-ai-nba-analysis","tag-ai-prediction-tool","tag-ai-predictions-nba","tag-free-nba-game-analysis","tag-nba-ai-game-prediction","tag-nba-ai-picks","tag-nba-player-props","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2025\/10\/NBA-Memphis-Grizzlies-vs.-Phoenix-Suns.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/comments?post=29853"}],"version-history":[{"count":2,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29853\/revisions"}],"predecessor-version":[{"id":29856,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29853\/revisions\/29856"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29854"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29853"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29853"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Source: Dimers\u2019 simulation page \/ projected final score.<\/p>\n<\/li>\n
Implied projection = Memphis (total+spread)\/2, Phoenix (total – Memphis)<\/strong> \u2192 Memphis 121 \u2014 Phoenix 119<\/strong>. (This is a standard method to convert spread+total \u2192 implied scores.)<\/p>\n<\/li>\n\n
\nAverage of the five model projections (final-score average)<\/h1>\n
\n
\n
That averaged projection aligns closely with the market total \u2248 240\u2013240.5<\/strong> and the close spread (~1\u20131.5 points).<\/p>\n
\nMy independent prediction (method + numbers)<\/h1>\n
\n
\n
\n
(That is one point better for Memphis than the model average and still very close to the consensus total ~240.)<\/p>\n
I derived that from the Pythagorean tendencies, current team PF\/PA signals and the market\/model consensus favoring Memphis. (Note: different reasonable choices of exponent \/ which season PF\/PA snapshot to use change that a few percentage points \u2014 I\u2019m explicit that this is my best estimate given public numbers and injury news.)<\/p>\n
\nNews & injuries (checked right before this writeup)<\/h1>\n
\n
\nFinal pick \/ betting recommendation<\/h1>\n
My PICK: Memphis Grizzlies Moneyline -122<\/h2>\n","protected":false},"excerpt":{"rendered":"