Closeline AI Model Results, Week of September 20 – September 26, 2026: 9-3 (75%)
Every pick the Closeline AI sports betting model sent that settled September 20 – September 26, 2026: 9-3, 75% win rate, by league and pick by pick.
In the week of September 20 – September 26, 2026, the Closeline AI sports betting model went 9-3 (75% win rate) on 12 settled picks sent to subscribers. All-time, the public record is 376-255-14 (59.6% win rate). Every pick below was posted before its game started and graded from the official final score; losses stay in.
Record by league this week
- NCAAF: 5-2 (71.4% win rate)
- MLB: 3-1 (75% win rate)
- NFL: 1-0 (100% win rate)
Compared with the previous week
The week before, the model went 7-7 (50% win rate). Win rate moved up 25 points week over week. One week is a small sample; the all-time record is the number to judge.
Every pick that settled this week
- Sep 19 · NCAAF · James Madison Dukes @ San Diego State Aztecs — James Madison Dukes +1.5 — WIN (final 26-13)
- Sep 20 · NFL · Indianapolis Colts @ Kansas City Chiefs — Kansas City Chiefs ML — WIN (final 30-33)
- Sep 23 · MLB · St. Louis Cardinals @ Pittsburgh Pirates — Over 7.5 — LOSS (final 5-1)
- Sep 23 · MLB · Seth Lugo over 4.5 — WIN (final 7)
- Sep 24 · NCAAF · Liberty Flames @ Coastal Carolina Chanticleers — Liberty Flames -2.5 — WIN (final 34-17)
- Sep 25 · NCAAF · Army Black Knights @ Temple Owls — Army Black Knights -3 — WIN (final 21-17)
- Sep 25 · MLB · Baltimore Orioles @ New York Yankees — Over 6.5 — WIN (final 3-6)
- Sep 25 · MLB · Tomoyuki Sugano over 4.5 — WIN (final 6)
- Sep 26 · NCAAF · UCLA Bruins @ Maryland Terrapins — UCLA Bruins -1.5 — WIN (final 54-3)
- Sep 26 · NCAAF · Notre Dame Fighting Irish @ Purdue Boilermakers — Notre Dame Fighting Irish -27.5 — WIN (final 49-10)
- Sep 26 · NCAAF · Hawai'i Rainbow Warriors @ Wyoming Cowboys — Hawai'i Rainbow Warriors -2.5 — LOSS (final 10-27)
- Sep 26 · NCAAF · TCU Horned Frogs @ UCF Knights — TCU Horned Frogs -3 — LOSS (final 13-21)
Check it yourself
The full timestamped pick log is public at https://www.getcloseline.io/record, with a machine-readable copy at https://www.getcloseline.io/api/public/record.json. How the model works and how picks are graded: https://www.getcloseline.io/methodology.
See the public pick log