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

University of Wisconsin-Parkside

Ranked 104th of 202 D2 teams (likely between 54th and 141st) and 4th of 7 in the GLIAC. 5% chance of making the NCAA tournament, mostly by winning the GLIAC tournament.

Record 3-5-1 (W-L-T) · 3-5-1 against D2 teams

NCAA tournament chance

5%

Most of its chance comes from winning the GLIAC tournament (the auto bid).

Top-four seed in Super Region 3 (first chance to host games): <1%

Rank

104 of 202

Likely between 54th and 141st

4th of 7 in the GLIAC (likely 3rd to 6th)

Rating

+0.07

Would beat an average D2 team by about 0.1 goals a game, on a neutral field.

Likely range −0.38 to +0.51

Attack and defense

Attack +0.07: scores 0.07 more goals a game than an average D2 team.

Defense +0.00: concedes 0.00 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 7 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 4% under 5%
1 19% under 5%
2 29% under 5%
3 27% about 5%
4 14% about 10%
5 6% about 15%
6 1% –
7 (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 Wis.-Parkside wins all 7: 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.

−1.0−0.50+0.5+1.0Oct

How sure is the rank?

Taller bars are more likely. Wis.-Parkside likely (8 in 10) ranks between 54th and 141st.

255075100125150better 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 4 at Northern Mich. W 25% · T 23% · L 52% likeliest 1–1
Oct 7 v Purdue Northwest W 44% · T 25% · L 32% likeliest 1–1
Oct 9 v Northern Mich. W 33% · T 24% · L 43% likeliest 1–1
Oct 16 at Saginaw Valley W 14% · T 19% · L 67% likeliest 0–2
Oct 18 at Davenport W 46% · T 23% · L 31% likeliest 1–1
Oct 23 v Roosevelt W 29% · T 27% · L 44% likeliest 0–1
Oct 25 v St. Cloud St. W 61% · T 20% · L 19% likeliest 2–1

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 30 at Purdue Northwest L 2–4 Rating −0.11
Sep 27 v Saginaw Valley T 0–0 Rating +0.07
Sep 25 v Davenport L 2–3 Rating −0.11
Sep 20 at St. Cloud St. W 3–0 Rating +0.10
Sep 17 at Roosevelt L 0–1 Rating +0.00
Sep 6 at Thomas More L 0–1 Rating −0.00
Sep 3 v Maryville (MO) W 1–0 Rating +0.12
Aug 30 v Lewis L 0–3 Rating −0.16
Aug 27 v Quincy W 2–1 Rating +0.05