D2 Men's Soccer Ratings

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

Rankings · Conference Carolinas · Super Region 2

Converse University

Ranked 69th of 202 D2 teams (likely between 26th and 120th) and 4th of 15 in the Carolinas. 10% chance of making the NCAA tournament, mostly by winning the Carolinas tournament.

Record 5-2-3 (W-L-T) · 4-2-3 against D2 teams

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NCAA tournament chance

10%

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

Top-four seed in Super Region 2 (first chance to host games): <1%

Rank

69 of 202

Likely between 26th and 120th

4th of 15 in the Carolinas (likely 2nd to 7th)

Rating

+0.36

Would beat an average D2 team by about 0.4 goals a game, on a neutral field.

Likely range −0.15 to +0.86

Attack and defense

Attack +0.43: scores 0.43 more goals a game than an average D2 team.

Defense −0.06: concedes 0.06 more 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 0% –
1 2% under 5%
2 12% under 5%
3 25% about 10%
4 28% about 10%
5 23% about 15%
6 8% about 15%
7 (all) 1% about 70%

– 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 Converse wins all 7: its NPI clears the cut line in 68% of simulated seasons, without needing 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.

−0.50+0.5+1.0Oct

How sure is the rank?

Taller bars are more likely. Converse likely (8 in 10) ranks between 26th and 120th.

7335985111137better 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 3 v North Greenville W 58% · T 20% · L 22% likeliest 2–1 · compare
Oct 6 v King (TN) W 69% · T 17% · L 13% likeliest 2–0 · compare
Oct 10 at Lees-McRae W 30% · T 26% · L 44% likeliest 1–1 · compare
Oct 14 v Coker W 46% · T 21% · L 33% likeliest 1–1 · compare
Oct 17 at Erskine W 81% · T 11% · L 8% likeliest 3–0 · compare
Oct 20 at North Greenville W 48% · T 22% · L 30% likeliest 1–1 · compare
Oct 24 v Belmont Abbey W 58% · T 20% · L 22% likeliest 2–1 · compare

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 Belmont Abbey W 2–0 Rating +0.09
Sep 26 at Mount Olive W 6–3 Rating −0.01
Sep 22 v Bob Jones · not a D2 team, not rated W 4–1
Sep 16 at Emmanuel (GA) L 0–2 Rating −0.11
Sep 12 v Ferrum T 1–1 Rating −0.05
Sep 8 v Lees-McRae T 1–1 Rating +0.00
Sep 5 at King (TN) W 2–1 Rating +0.00
Sep 2 v Wingate L 0–1 Rating −0.06
Aug 29 v Tusculum W 5–1 Rating +0.11
Aug 27 at Anderson (SC) T 2–2 Rating +0.05