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

North Greenville University

Ranked 130th of 202 D2 teams (likely between 87th and 160th) and 7th of 15 in the Carolinas. 3% chance of making the NCAA tournament, mostly by winning the Carolinas tournament.

Record 3-6-1 (W-L-T) · 3-6-1 against D2 teams

NCAA tournament chance

3%

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

Rank

130 of 202

Likely between 87th and 160th

7th of 15 in the Carolinas (likely 5th to 10th)

Rating

−0.24

Would lose to an average D2 team by about 0.2 goals a game, on a neutral field.

Likely range −0.66 to +0.18

Attack and defense

Attack −0.18: scores 0.18 fewer goals a game than an average D2 team.

Defense −0.04: concedes 0.04 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 5% under 5%
1 19% under 5%
2 30% under 5%
3 26% under 5%
4 14% about 5%
5 5% under 5%
6 1% –
7 (all) under 1% under 5%

– 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 North Greenville wins all 7: its NPI would still fall short of the cut line, so it would also need to win the Carolinas tournament.

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+0.5Oct

How sure is the rank?

Taller bars are more likely. North Greenville likely (8 in 10) ranks between 87th and 160th.

5678100122144166better 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 at Converse W 22% · T 20% · L 58% likeliest 1–2
Oct 6 v Lees-McRae W 26% · T 30% · L 45% likeliest 0–1
Oct 10 at Barton W 47% · T 22% · L 30% likeliest 1–1
Oct 14 v Belmont Abbey W 42% · T 26% · L 33% likeliest 1–1
Oct 17 at Southern Wesleyan W 34% · T 26% · L 40% likeliest 1–1
Oct 20 v Converse W 30% · T 22% · L 48% likeliest 1–1
Oct 24 at King (TN) W 44% · T 27% · L 29% 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 30 v King (TN) L 0–2 Rating −0.12
Sep 26 v Ferrum W 4–3 Rating −0.05
Sep 22 at Anderson (SC) L 0–3 Rating −0.09
Sep 19 v Erskine W 4–1 Rating +0.02
Sep 16 at Lees-McRae T 0–0 Rating +0.05
Sep 12 v Emmanuel (GA) L 2–4 Rating −0.12
Sep 8 at Belmont Abbey W 2–0 Rating +0.09
Sep 5 at Lander L 2–3 Rating −0.05
Sep 2 v Mars Hill L 1–3 Rating −0.11
Aug 29 at Catawba L 1–2 Rating +0.01