Manhattan Jaspers Projections

Overall Record

14.1 - 14.9

Conference Record

11.1 - 8.9

Conference Champs

0.8%

Projected Record (Currently Scheduled Games Only)

Conference Tournament Odds To Advance By Round


Future Odds
Undefeated Win Rest Win Div Win Conf 1-Week Change
0.0% 0.1% 0.0% 0.8% 0.2%
Proj Conf Seed Make Semis Make Finals Win Tourn 1-Week Change
4.9 41.1% 15.3% 5.8% --

* Undefeated and Win Rest show odds based on currently scheduled games, NOT INCLUDING conference tournament games.

MAAC CURRENT RATINGS PROJECTION PLAYOFFS
Team conf W L Future SOS conf W L overall W L Win Conf Win Tourn
Iona 9 2 0.0 16.3 3.7 23.3 7.7 87.4% 44.4%
Rider 8 3 0.0 13.9 6.1 19.9 11.1 4.8% 10.4%
Canisius 7 4 0.0 13.0 7.0 18.0 11.0 2.0% 12.9%
Monmouth 8 3 0.0 12.9 7.1 16.9 14.1 5.0% 8.3%
Manhattan 7 4 0.0 11.1 8.9 14.1 14.9 0.8% 5.8%
Quinnipiac 5 6 0.0 10.3 9.7 16.3 12.7 0.0% 7.4%
St Peters 4 8 0.0 8.7 11.3 14.7 16.3 0.0% 4.9%
Siena 5 6 0.0 8.2 11.8 11.2 17.8 0.0% 5.2%
Fairfield 4 7 0.0 6.8 13.2 8.8 21.2 0.0% 0.5%
Niagara 2 9 0.0 4.5 15.5 5.5 23.5 0.0% 0.1%
Marist 2 9 0.0 4.3 15.7 5.3 24.7 0.0% 0.2%

Toughest Remaining Games
Date Opponent Loc Win Odds
2/27 Iona Away 11.5%
2/8 Rider Away 30.0%
2/13 Iona Home 33.1%
2/21 Siena Away 46.7%
2/6 Canisius Home 54.9%
3/1 Quinnipiac Home 60.4%
2/23 Marist Away 63.5%
2/15 Fairfield Home 81.0%

Easiest Remaining Games
Date Opponent Loc Win Odds
2/15 Fairfield Home 81.0%
2/23 Marist Away 63.5%
3/1 Quinnipiac Home 60.4%
2/6 Canisius Home 54.9%
2/21 Siena Away 46.7%
2/13 Iona Home 33.1%
2/8 Rider Away 30.0%
2/27 Iona Away 11.5%

Conference Tournament Win Odds By Seed
Seed Probability Win Odds
1 0.8% 13.9%
2 4.7% 10.3%
3 11.6% 9.3%
4 18.1% 6.7%
5 29.5% 5.4%
6 23.8% 4.1%
7 8.4% 3.0%
8 2.5% 1.9%
9 0.5% 1.1%
10 0.1% -
11 0.0% -
12 0.0% -
13 0.0% -
14 0.0% -
15 0.0% -
16 0.0% -
OVERALL 5.8%

*The above table shows how a team's chance of winning the conference tournament changes based upon the seed it gets. A blank value in the Win Odds column doesn't mean a team has no chane to win with that seed; it simply means that the sample size of our simulation was too small to give a reliable estimate.