Who will win Drexel vs Loyola MD?
The model gives Drexel a 59% chance to beat Loyola Maryland, with a projected score of Drexel 64, Loyola MD 61.
Half of games like thisFour in five
Calls of 50–60% have been right 55.7% of the time in 7,540 past games, and the typical miss on the margin is 9.5 points. After the final, the result is pinned to this strip. As of 2:23 AM ET on November 13, 2026. Updated three times a day until tip-off.
Players to watch
| Player | Pts | Reb | Ast | Last games | Chance of |
|---|---|---|---|---|---|
 Drexel | |||||
| McGurkG · 35 min | 14.9 | 5.3 | 2.0 | 15+ 48% | |
| RulloG · 36 min | 11.2 | 4.3 | 2.3 | 10+ 57% | |
| WatkinsG · 26 min | 8.0 | 3.2 | 0.9 | 10+ 34% | |
| Garcia RoigG · 32 min | 7.6 | 2.1 | 5.5 | 10+ 31% | |
 Loyola MD | |||||
| LangleyG · 28 min | 8.1 | 6.2 | 1.1 | 10+ 34% | |
| RameyG · 30 min | 7.9 | 3.5 | 2.7 | 10+ 32% | |
| AmorichF · 24 min | 7.6 | 2.9 | 1.8 | 10+ 31% | |
| SimmonsF · 23 min | 7.2 | 4.8 | 0.9 | 5+ 67% | |
Bars: points in the player's latest games this season. Blue line: tonight's projection. Every regular's line
The game without one player
Without Laine McGurk: Drexel 53%Loyola MD 47%
The white mark is the call with her: Drexel 59%.
| Player | Points a game she adds | Drexel without her | Change | Projected score |
|---|---|---|---|---|
| Drexel | ||||
| Laine McGurk | 1.9 | 53% | −6 | 63–62 |
| Molly Rullo | 0.9 | 56% | −3 | 63–61 |
| Julia Garcia Roig | 0.7 | 57% | −2 | 63–61 |
Change is in Drexel's win chance, in points. Scores read Drexel, then Loyola MD. A player's value is what the team is better by with her than with a replacement, from the player ratings.
Model against the line
Your call
All of today's gamesPlay-by-play
Team numbers
Form
Drexel 1-2WLL
- Last 3
- 1–2, scoring 57.0 and allowing 66.3
The spread and the total are the lines logged with each prediction. Form is what happened; the ratings above already count recent games more.
Offense against defense
| Drexel | Loyola MD | |
|---|---|---|
| Points scored per 100 possessions | 93.7 132nd | 84.8 264th |
| Points allowed per 100 | 98.2 258th | 98.0 255th |
| Possessions a game | 68.3 362nd | 69.5 352nd |
| Shooting (effective field-goal %) | 44.6% 233rd | 45.1% 201st |
| Opponents' shooting | 47.8% 304th | 44.1% 100th |
| Turnovers, share of possessions | 21.6% 38th | 25.1% 284th |
| Offensive rebounds, share of misses | 30.9% 285th | 32.5% 200th |
| Free throws per shot | 0.19 313th | 0.19 304th |
The widest gap: Drexel's offense (132nd) against Loyola MD's defense (255th), of 363 teams.
First half
- Projected halftime score
- Drexel 30, Loyola MD 29
- First-half margin
- Drexel by 1.7
- First-half points, both teams
- 59.0
- Projected second half
- Drexel 33, Loyola MD 32
- Second-half points, both teams
- 65.5
- Tied at the half
- 4%
- Drexel, first halves so far
- Led 2 of 3 · 29.7 scored, 34.7 allowed
- Loyola MD, first halves so far
- Led 2 of 3 · 28.7 scored, 26.3 allowed
Our own projection, not a sportsbook's first-half line. On 10,911 past games it had not seen, the halftime leader was right 73.0% of the time and the first-half total was off by 8.0 points on average. This season: 404 of 492 halftime leaders right. Scorecard
Player projections
Drexel
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Molly RulloG | 36 | 11.2 | 4.3 | 2.3 | 0.8 |
| 10+ pts 57% · 4+ reb 58% · 1+ threes 49% | |||||
| Laine McGurkG | 35 | 14.9 | 5.3 | 2.0 | 1.8 |
| 15+ pts 48% · 2+ ast 55% · 2+ threes 49% | |||||
| Julia Garcia RoigG | 32 | 7.6 | 2.1 | 5.5 | 0.4 |
| 10+ pts 31% · 2+ reb 57% · 6+ ast 47% | |||||
| Bria WatkinsG | 26 | 8.0 | 3.2 | 0.9 | 1.0 |
| 10+ pts 34% · 3+ reb 56% · 1+ threes 56% | |||||
| Molly LavinF | 25 | 4.8 | 5.6 | 1.0 | 0.6 |
| 5+ pts 44% · 6+ reb 46% · 1+ threes 43% | |||||
| Megan RulloG | 18 | 3.6 | 2.8 | 1.1 | 0.4 |
| 5+ pts 31% · 3+ reb 49% · 1+ threes 33% | |||||
| Aisha DaboF | 16 | 5.7 | 3.5 | 0.4 | 0.5 |
| 5+ pts 53% · 4+ reb 43% · 1+ threes 40% | |||||
Loyola MD
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Takeira RameyG | 30 | 7.9 | 3.5 | 2.7 | 0.5 |
| 10+ pts 32% · 4+ reb 44% · 3+ ast 48% | |||||
| Kailey KaletG | 30 | 5.0 | 2.0 | 1.7 | 0.6 |
| 5+ pts 46% · 2+ reb 54% · 2+ ast 48% | |||||
| Aidan LangleyG | 28 | 8.1 | 6.2 | 1.1 | 0.7 |
| 10+ pts 34% · 6+ reb 55% · 1+ threes 46% | |||||
| Amandine AmorichF | 24 | 7.6 | 2.9 | 1.8 | 1.1 |
| 10+ pts 31% · 3+ reb 51% · 2+ ast 50% | |||||
| Avery SimmonsF | 23 | 7.2 | 4.8 | 0.9 | 0.4 |
| 5+ pts 67% · 5+ reb 50% · 1+ threes 34% | |||||
| Tyler EdwardsF | 22 | 6.7 | 4.6 | 1.0 | 0.3 |
| 5+ pts 62% · 5+ reb 46% · 2+ ast 26% | |||||
| Sydney BassF | 17 | 4.4 | 1.6 | 0.5 | 0.8 |
| 5+ pts 40% · 2+ reb 43% · 1+ threes 51% | |||||
| Olivia ShaughnessyG | 16 | 3.2 | 1.6 | 1.2 | 0.5 |
| 5+ pts 28% · 2+ reb 43% · 1+ threes 37% | |||||
Our own projections from each player's minutes and production, this opponent and the game's pace: not a sportsbook's lines. Under each name, the round numbers the player is about as likely as not to reach. How they have done
Win probability
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