D2 Men's Soccer Ratings

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

Rankings · Great Northwest Athletic Conference · Super Region 4

Simon Fraser University

Ranked 100th of 202 D2 teams (likely between 57th and 133rd) and 5th of 6 in the GNAC. 10% chance of making the NCAA tournament, mostly by winning the GNAC tournament.

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

NCAA tournament chance

10%

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

Top-four seed in Super Region 4 (first chance to host games): <1%

Rank

100 of 202

Likely between 57th and 133rd

5th of 6 in the GNAC (likely 3rd to 5th)

Rating

+0.09

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

Likely range −0.28 to +0.48

Attack and defense

Attack −0.06: scores 0.06 fewer goals a game than an average D2 team.

Defense +0.15: concedes 0.15 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 7% under 5%
2 20% about 5%
3 29% about 5%
4 24% about 10%
5 13% about 20%
6 5% about 25%
7 1% –
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 Simon Fraser 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.

−1.0−0.50+0.5+1.0Oct

How sure is the rank?

Taller bars are more likely. Simon Fraser likely (8 in 10) ranks between 57th and 133rd.

25487194117140better 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 Northwest Nazarene W 39% · T 25% · L 36% likeliest 1–1
Oct 8 v Western Wash. W 36% · T 26% · L 38% likeliest 1–1
Oct 10 v Jamestown W 76% · T 14% · L 11% likeliest 2–0
Oct 15 at Seattle Pacific W 20% · T 21% · L 59% likeliest 0–1
Oct 17 at Northwest Nazarene W 30% · T 25% · L 45% likeliest 1–1
Oct 22 at Western Wash. W 28% · T 25% · L 47% likeliest 1–1
Oct 29 v Western Ore. W 28% · T 25% · L 48% likeliest 1–1
Oct 31 v Saint Martin's W 71% · T 17% · L 12% likeliest 2–0

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.

Oct 1 v Seattle Pacific T 1–1 Rating +0.02
Sep 26 at Saint Martin's W 2–1 Rating −0.00
Sep 24 at Western Ore. T 0–0 Rating +0.04
Sep 19 v Midwestern St. L 1–4 Rating −0.08
Sep 17 at UT Tyler T 1–1 Rating +0.00
Sep 12 v UCCS T 1–1 Rating +0.03
Sep 5 at Stanislaus St. T 1–1 Rating +0.02
Sep 3 at Chico St. W 2–1 Rating +0.04
Aug 27 v Westmont L 0–2 Rating −0.09