The Penn State Nittany Lions are 22-11-0 Straight Up (Moneyline) in 2022-23
NCAABBig Ten
The Penn State Nittany Lions are 22-11-0 moneyline record in 2022-23, a 66.67% rate with +25.62% ROI on flat $100 bets at closing odds. Closing lines from DraftKings, FanDuel, and BetMGM, graded against official NCAAB box scores.
Moneyline
22-11-0
Win %
66.67%
ROI
+25.62%
Games
33
Penn State Nittany Lions Monthly Performance
+25.5%22-11 · +8.4u
+11.1%
+90.7%
-9.5%
-13.7%
+71%
Nov
6-1
6-1
Dec
3-1
3-1
Jan
4-3
4-3
Feb
3-4
3-4
Mar
6-2
6-2
Home / Away ML
Home
13-3-0
81.25%+16.89%
Away
9-8-0
52.94%+33.83%
Favorite / Underdog ML
As Favorite
14-3-0
82.35%+12.38%
As Underdog
8-8-0
50%+39.69%
Recent Games (2022-23)
| Date | Opponent | Score | ML |
|---|---|---|---|
| 2023-03-18 |  @ Texas Longhorns | L 71-66 | L |
| 2023-03-16 |  @ Texas A&M Aggies | W 59-76 | W |
| 2023-03-12 |  @ Purdue Boilermakers | L 67-65 | L |
| 2023-03-11 |  @ Indiana Hoosiers | W 73-77 | W |
| 2023-03-10 |  @ Northwestern Wildcats | W 65-67 | W |
| 2023-03-09 |  @ Illinois Fighting Illini | W 76-79 | W |
| 2023-03-05 |  vs Maryland Terrapins | W 65-64 | W |
| 2023-03-01 | @ Northwestern Wildcats | W 65-68 | W |
| 2023-02-23 |  @ Ohio State Buckeyes | W 71-75 | W |
| 2023-02-18 |  @ Minnesota Golden Gophers | W 69-76 | W |
Frequently Asked Questions
What is the Penn State Nittany Lions moneyline record in 2022-23?
The Penn State Nittany Lions are 22-11-0 (66.67%) moneyline record in 2022-23 on DraftKings, with +25.62% ROI.
What is the Penn State Nittany Lions home vs away moneyline record?
Home: 13-3-0 (+16.89% ROI). Away: 9-8-0 (+33.83% ROI).
More Penn State Nittany Lions Stats (2022-23)
Compare Moneyline Record
Moneyline Record for the Penn State Nittany Lions in the 2022-23 season on LineTerminal. Data sourced from DraftKings closing lines. Updated daily after games are graded. Past performance does not guarantee future results. LineTerminal offers advanced system-building tools to research Penn State Nittany Lions betting trends across 80+ filters and 5+ years of data.
