D2 Men's Soccer Ratings

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

Rankings · Sunshine State Conference · Super Region 2

Florida Institute of Technology

Ranked 34th of 202 D2 teams (likely between 18th and 79th) and 3rd of 11 in the Sunshine State. 27% chance of making the NCAA tournament, mostly by winning the Sunshine State tournament.

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

NCAA tournament chance

27%

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

Top-four seed in Super Region 2 (first chance to host games): 5%

Rank

34 of 202

Likely between 18th and 79th

3rd of 11 in the Sunshine State (likely 2nd to 6th)

Rating

+0.62

Would beat an average D2 team by about 0.6 goals a game, on a neutral field.

Likely range +0.28 to +1.01

Attack and defense

Attack +0.14: scores 0.14 more goals a game than an average D2 team.

Defense +0.49: concedes 0.49 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 6 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% about 10%
1 17% about 15%
2 28% about 15%
3 29% about 25%
4 15% about 45%
5 5% about 85%
6 (all) 0% 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 Florida Tech wins all 6: 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. Florida Tech likely (8 in 10) ranks between 18th and 79th.

42342618099118better 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 7 v Barry W 54% · T 24% · L 22% likeliest 1–0
Oct 10 v Francis Marion W 38% · T 31% · L 31% likeliest 0–0
Oct 14 at Tampa W 37% · T 29% · L 34% likeliest 1–0
Oct 17 v Palm Beach Atl. W 36% · T 31% · L 33% likeliest 0–0
Oct 21 at Rollins W 41% · T 23% · L 36% likeliest 1–1
Oct 28 v Fla. Southern W 46% · T 26% · L 28% 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 at Embry-Riddle (FL) L 0–1 Rating −0.08
Sep 26 at Eckerd W 1–0 Rating −0.02
Sep 23 v Lynn T 1–1 Rating +0.00
Sep 19 v Saint Leo W 3–2 Rating +0.01
Sep 12 at Nova Southeastern W 3–0 Rating +0.08
Sep 7 v Mars Hill T 0–0 Rating −0.03
Sep 5 v Clayton St. W 2–1 Rating +0.03
Sep 1 at North Georgia T 0–0 Rating +0.01
Aug 29 v Lenoir-Rhyne W 2–1 Rating +0.00
Aug 27 v Emory & Henry L 1–3 Rating −0.08