Who will win McNeese vs Tulane?
The model gives Tulane a 97% chance to beat McNeese, with a projected score of Tulane 76, McNeese 53.
Half of games like thisFour in five
Calls of 90–100% have been right 96.1% of the time in 10,929 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 |
|---|---|---|---|---|---|
 Tulane | |||||
| DanielG · 27 min | 13.1 | 4.7 | 2.2 | 15+ 37% | |
| StrauszF · 26 min | 11.2 | 7.6 | 1.9 | 10+ 57% | |
| HessionPG · 25 min | 10.4 | 3.0 | 2.5 | 10+ 51% | |
| SmithG · 27 min | 10.1 | 3.4 | 3.6 | 10+ 49% | |
 McNeese | |||||
| Fontenelle-PossonG · 29 min | 8.3 | 5.7 | 1.0 | 10+ 36% | |
| HamiltonG · 24 min | 8.1 | 2.1 | 1.1 | 10+ 34% | |
| BerryG · 32 min | 6.9 | 2.6 | 2.8 | 5+ 64% | |
| MottaG · 21 min | 4.3 | 2.9 | 0.6 | 5+ 39% | |
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 Edina Strausz: McNeese 5%Tulane 95%
The white mark is the call with her: Tulane 97%.
| Player | Points a game she adds | Tulane without her | Change | Projected score |
|---|---|---|---|---|
| Tulane | ||||
| Edina Strausz | 3.0 | 95% | −2 | 54–75 |
| Kanija Daniel | 2.1 | 96% | −1 | 54–75 |
| Khadee Hession | 2.1 | 96% | −1 | 54–75 |
| Nataliyah Gray | 1.3 | 97% | 0 | 53–76 |
Change is in Tulane's win chance, in points. Scores read McNeese, then Tulane. 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
McNeese 2-2WWLL
- Nov 10L 43-100at LSU
- Nov 8L 59-82vs Louisiana Tech
- Nov 5W 56-51vs Grambling
- Nov 2W 65-53vs Texas A&M-Kingsville
- Last 4
- 2–2, scoring 55.8 and allowing 71.5
Tulane 2-1WLW
- Nov 12W 101-61vs LSU N Orleans
- Nov 8L 63-68vs AlabamaCovered +17.5 · Under 137.5
- Nov 2W 92-38vs Texas Southern
- Last 3
- 2–1, scoring 85.3 and allowing 55.7
- Against the spread, this season
- 1–0
- Totals, this season
- 0 over, 1 under
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
| McNeese | Tulane | |
|---|---|---|
| Points scored per 100 possessions | 83.3 280th | 93.5 134th |
| Points allowed per 100 | 101.7 319th | 86.9 65th |
| Possessions a game | 70.7 307th | 73.0 96th |
| Shooting (effective field-goal %) | 42.7% 321st | 45.7% 156th |
| Opponents' shooting | 46.9% 266th | 42.6% 29th |
| Turnovers, share of possessions | 22.3% 84th | 22.6% 104th |
| Offensive rebounds, share of misses | 28.2% 356th | 31.8% 238th |
| Free throws per shot | 0.20 274th | 0.23 64th |
The widest gap: Tulane's defense (65th) against McNeese's offense (280th), of 363 teams.
First half
- Projected halftime score
- McNeese 24, Tulane 37
- First-half margin
- Tulane by 13.6
- First-half points, both teams
- 61.2
- Projected second half
- McNeese 29, Tulane 39
- Second-half points, both teams
- 67.9
- Tied at the half
- 4%
- McNeese, first halves so far
- Led 2 of 4 · 28.8 scored, 34.2 allowed
- Tulane, first halves so far
- Led 2 of 3 · 43.3 scored, 24.7 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
McNeese
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Avari BerryG | 32 | 6.9 | 2.6 | 2.8 | 0.6 |
| 5+ pts 64% · 3+ reb 46% · 3+ ast 50% | |||||
| Valencia Fontenelle-PossonG | 29 | 8.3 | 5.7 | 1.0 | 1.3 |
| 10+ pts 36% · 6+ reb 48% · 2+ threes 36% | |||||
| Carley HamiltonG | 24 | 8.1 | 2.1 | 1.1 | 0.8 |
| 10+ pts 34% · 2+ reb 56% · 1+ threes 52% | |||||
| Matilde MottaG | 21 | 4.3 | 2.9 | 0.6 | 0.5 |
| 5+ pts 39% · 3+ reb 51% · 1+ threes 36% | |||||
| Morgan BoydG | 21 | 3.9 | 2.7 | 0.8 | 0.3 |
| 5+ pts 34% · 3+ reb 46% · 1+ threes 24% | |||||
| Laura MartinezG | 18 | 3.7 | 1.7 | 0.4 | 1.2 |
| 5+ pts 33% · 2+ reb 47% · 1+ threes 63% | |||||
| Sarah TaubG | 16 | 3.7 | 2.3 | 1.0 | 0.4 |
| 5+ pts 32% · 2+ reb 61% · 1+ threes 31% | |||||
| Anja EkstromG | 15 | 2.4 | 1.0 | 0.7 | 0.9 |
| 5+ pts 19% · 2+ reb 25% · 1+ threes 53% | |||||
Tulane
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Ja'Kyah SmithG | 27 | 10.1 | 3.4 | 3.6 | 1.4 |
| 10+ pts 49% · 4+ reb 42% · 4+ ast 47% | |||||
| Kanija DanielG | 27 | 13.1 | 4.7 | 2.2 | 1.6 |
| 15+ pts 37% · 5+ reb 47% · 2+ threes 42% | |||||
| Edina StrauszF | 26 | 11.2 | 7.6 | 1.9 | 0.1 |
| 10+ pts 57% · 8+ reb 47% · 2+ ast 55% | |||||
| Khadee HessionPG | 25 | 10.4 | 3.0 | 2.5 | 1.4 |
| 10+ pts 51% · 3+ reb 52% · 3+ ast 44% | |||||
| Asha SraG | 20 | 6.6 | 4.2 | 3.9 | 0.7 |
| 5+ pts 61% · 4+ ast 52% · 1+ threes 48% | |||||
| Jayda BrownG | 19 | 8.5 | 3.7 | 1.7 | 0.8 |
| 10+ pts 37% · 2+ ast 49% · 1+ threes 51% | |||||
| Kennedy SimpsonG | 18 | 6.7 | 3.2 | 1.9 | 0.6 |
| 5+ pts 63% · 2+ ast 53% · 1+ threes 44% | |||||
| Nataliyah GrayF | 15 | 8.1 | 3.9 | 0.6 | 0.1 |
| 10+ pts 34% · 4+ reb 51% | |||||
Missed the last game: Aizhanique Mayo (15 min a game).
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
Game chat
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