D2 Men's Soccer Ratings

Updated Oct 2, 6:34 a.m. ET · 2026 season · 915 games between D2 teams so far

Rankings · Great Lakes Intercollegiate Athletic Conference · Super Region 3

Roosevelt University

Ranked 47th of 202 D2 teams (likely between 25th and 92nd) and 2nd of 7 in the GLIAC. 69% chance of making the NCAA tournament, mostly through an at-large place.

Record 4-0-4 (W-L-T) · 4-0-4 against D2 teams

NCAA tournament chance

69%

With 4 or more wins from its last 8 games against D2 teams, its NCAA chance is about 96%; with fewer, about 42%.

Top-four seed in Super Region 3 (first chance to host games): 30%

Rank

47 of 202

Likely between 25th and 92nd

2nd of 7 in the GLIAC (likely 2nd to 4th)

Rating

+0.52

Would beat an average D2 team by about 0.5 goals a game, on a neutral field.

Likely range +0.15 to +0.88

Attack and defense

Attack +0.03: scores 0.03 more goals a game than an average D2 team.

Defense +0.48: concedes 0.48 fewer goals a game than an average D2 team.

Attack + defense = rating.

What it takes to make the NCAA tournament

There are two ways in. How qualifying works.

How many more wins it needs

Its last 8 games against D2 teams: how many it might win, and its NCAA chance in each case. A tie counts as half a win.

WinsHow likelyNCAA chance then
0 2% –
1 6% about 10%
2 16% about 30%
3 26% about 60%
4 25% about 90%
5 16% over 99%
6 8% over 99%
7 2% –
8 (all) under 1% over 99%

– means too few simulated seasons to say. Which games are won matters as well as how many: wins over strong teams and away wins count for more.

If Roosevelt wins all 8: it makes the NCAA tournament as an at-large team, even without the conference title.

Rating over the season

Line: rating after each daily update. Shaded: likely range. Above 0 is better than an average D2 team.

0+0.5+1.0+1.5Oct

How sure is the rank?

Taller bars are more likely. Roosevelt likely (8 in 10) ranks between 25th and 92nd.

427507396119142better rank →

Still to play

win tie loss chances for each game. A tie can be the likeliest single score even when a win is more likely overall.

Oct 2 at Saginaw Valley W 22% · T 27% · L 50% likeliest 0–1
Oct 4 at Davenport W 55% · T 24% · L 20% likeliest 1–0
Oct 9 v Davenport W 64% · T 22% · L 15% likeliest 1–0
Oct 11 v Saginaw Valley W 29% · T 29% · L 42% likeliest 0–1
Oct 14 at St. Cloud St. W 61% · T 22% · L 17% likeliest 1–0
Oct 18 at Northern Mich. W 35% · T 28% · L 37% likeliest 1–1
Oct 23 at Wis.-Parkside W 44% · T 27% · L 29% likeliest 1–0
Oct 25 at Purdue Northwest W 45% · T 28% · L 27% likeliest 1–0

Results

How much each result changed the rating. A win can lower it if the model expected a bigger win; a narrow loss to a strong team can raise it.

Sep 25 v Northern Mich. T 1–1 Rating −0.01
Sep 23 v St. Cloud St. T 0–0 Rating −0.06
Sep 20 v Purdue Northwest W 2–0 Rating +0.06
Sep 17 v Wis.-Parkside W 1–0 Rating +0.02
Sep 5 at Lake Erie T 1–1 Rating −0.00
Sep 2 at Mo.-St. Louis W 2–0 Rating +0.08
Aug 29 v Cedarville W 2–0 Rating +0.07
Aug 27 v Upper Iowa T 1–1 Rating −0.06