CBB Matchups

Every D1 game with tempo-free ratings, four factors and market lines, one place.

College basketball is being built for the 2026-27 season (tip-off Nov 3). What's here fills in as games are played.
Non-conferenceLeavey Center, Santa Clara, CA
Towson
Efficiency #149
2025-26: 19-15 · 11-10 conf
@
Santa Clara
Efficiency #33
2025-26: 26-9 · 17-4 conf
Mon, Nov 2 · TBD
66.9
win 17%
Projected
77.9
win 83%
No line posted yet.
Model: SCU −11.0 · total 144.9 · ratings as of Sat, Oct 3
Preseason ratings start from 2025-26's final adjusted ratings, regressed toward the D1 average. The stats below are 2025-26's too; both update once 2026-27 games are played.

How the projection is built

each step, from an average D-I game to this one
Projected total
Average D-I game
148.2
PaceAdjusted tempo: Santa Clara 69.5, Towson 65.7 → 66.9 possessions
−3.2
Santa Clara offense vs Towson defense
+3.5
Towson offense vs Santa Clara defense
−3.7
Projected total
144.9
Axis starts at 142 pointsPoints added or removed at each step
Projected margin
Even game
0.0
Santa Clara offense vs Towson defense
+3.5
Towson offense vs Santa Clara defense
+3.7
Home court+2.9 points per 100 possessions to the home offense, −2.9 to the visitors
+3.8
Santa Clara by 11.0
11.0
Towson side ◂▸ Santa Clara side

Steps are rounded to one decimal, so they can differ from the total by 0.1: the total steps add to 144.8 against a projected 144.9. The margin is the same build seen from the home side; positive numbers help Santa Clara.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 66.9, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Santa Clara is the faster team (69.5, #113 of 365) and Towson the slower (63.8, #358). When tempos clash, the slower team usually pulls the pace harder (study weights 0.80 vs 0.66).

Projected possessions
66.9
per team, 40 min
Projected total
144.9
model
Projected team totals
66.9 / 77.9
Towson / Santa Clara
Adjusted tempo, vs an average opponent
65.7#350
Towson
69.5#84
Santa Clara

How this game plays

what the study found each side's numbers actually do when these two teams meet
AdvantageTowson
Where Towson struggles: shooting
Towson shoots an effective 46.5% (#345); Santa Clara allows 52.0% (#213). Expect about 48.9%, 2.4 points below an average D1 matchup — worth roughly -3.4 points per 100 possessions.
GlassTowson
Towson owns the glass
Projected offensive rebound rate of 35.1% is worth roughly +2.9 points per 100 possessions for Towson's offense.
Pace
Tempo tug-of-war
Santa Clara averages 69.5 possessions per 40, Towson 63.8. Slower teams pull the pace toward themselves more than fast teams push it (0.80 vs 0.66 in five seasons of games), so expect about 65 — more possessions mean more points in the total and more chances for the better team to separate.
AdvantageSanta Clara
Where Santa Clara scores: ball control
Santa Clara turns it over on 15.4% of possessions (#99); Towson forces turnovers on 15.1% of opponent possessions (#274). Expect about 15.0%, 1.8 points below an average D1 matchup — worth roughly +2.2 points per 100 possessions.
GlassSanta Clara
Santa Clara owns the glass
Projected offensive rebound rate of 34.0% is worth roughly +2.2 points per 100 possessions for Santa Clara's offense.
Watch for noise
3-point caution
A notable season 3-point number here (Towson, Towson's defense) is close to a coin flip going forward — the study's model of next-game 3P% barely beats guessing the D1 average. Shot volume is what actually carries: expect Towson at about 35.1% of its shots from three, Santa Clara about 45.1%.
Towson has the ball
OffenseSanta Clara allowsvs D1 avg
46.5% #345
52.0% #213
-3.4 pt/100
15.9% #129
19.9% #25
-1.8 pt/100
36.0% #24
32.1% #262
+2.9 pt/100
30.4% #299
38.2% #264
-0.0 pt/100
68.9% #300
—
-0.3 pt/100
Towson net across the four factors + FT%, vs. a D1-average matchup: -2.7 pts/100
Santa Clara has the ball
OffenseTowson allowsvs D1 avg
54.4% #53
48.5% #49
+0.6 pt/100
15.4% #99
15.1% #274
+2.2 pt/100
36.4% #20
29.1% #117
+2.2 pt/100
25.5% #363
29.3% #49
-1.0 pt/100
74.4% #106
—
+0.2 pt/100
Santa Clara net across the four factors + FT%, vs. a D1-average matchup: +4.2 pts/100

Shot diet

Where each offense shoots from and where each defense lets teams shoot · 2025-26 numbers
Towsonoffense vsSanta Claradefense
Share of shots by zone
Towson shoots
Santa Clara allows
D-I average
FG% by zone
ZoneD-I avg
Rim54.9%#30061.4%#28158.6%
Short 2 (≤9 ft)40.4%#16638.4%#14439.5%
Mid 2 (10 ft+)38.7%#15932.9%#2638.0%
Three29.4%#34933.1%#12733.7%
Santa Claraoffense vsTowsondefense
Share of shots by zone
Santa Clara shoots
Towson allows
D-I average
FG% by zone
ZoneD-I avg
Rim61.3%#8456.4%#9658.6%
Short 2 (≤9 ft)47.2%#3742.1%#23239.5%
Mid 2 (10 ft+)44.1%#2437.6%#14838.0%
Three34.9%#12530.9%#3333.7%
RimShort 2 (≤9 ft)Mid 2 (10 ft+)Three

Zones from play-by-play shot descriptions; garbage time removed. Bars show the share of field-goal attempts in each zone; where a slice is too thin for its number, the shares are listed under the bar. FG% ranks: #1 = best for that side (most accurate shooting, stingiest defense).

Shot volume

Extra scoring chances from rebounds, turnovers and the foul line · 2025-26 numbers
Towson
+2.2extra scoring chances per game vs a D-I average team#90 of 365
Off reb %
36.0%
#24
Def reb %
70.9%
#117
Turnover %
15.9%
#129
Forced TO %
15.1%
#274
FT rate
30.4%
#299
FT allowed
29.3%
#49
Where the chances come from (per game)
Offensive rebounding+1.8
Defensive rebounding+0.5
Ball security+0.6
Forcing turnovers−1.1
Foul shots drawn−1.2
Foul shots allowed+1.5
Santa Clara
+1.4extra scoring chances per game vs a D-I average team#123 of 365
Off reb %
36.4%
#20
Def reb %
67.9%
#262
Turnover %
15.4%
#99
Forced TO %
19.9%
#25
FT rate
25.5%
#363
FT allowed
38.2%
#264
Where the chances come from (per game)
Offensive rebounding+1.9
Defensive rebounding−0.5
Ball security+0.9
Forcing turnovers+2.2
Foul shots drawn−2.4
Foul shots allowed−0.8

Towson has more extra scoring chances per game: +2.2 (#90 of 365) to Santa Clara’s +1.4 (#123).

Grade = extra shots and foul-line trips per game compared with a D-I average team, built from six season rates. Cell shading is the national rank for each rate (greener = better for that team).

Rotation

Towson2025-26 numbers
ESPN hasn't posted Towson's 2026-27 roster yet — these are last season's players.
#PlayerPosClHtGP-GSMPGPPGRPGAPGTOVeFG%3P%3PA/gFT%UsageStatus
4Dylan WilliamsonGJr6'1"34-3435.914.62.53.41.747.3%34.0%7.374.5%28.8%
15Tyler TejadaGJr6'9"32-3135.517.75.52.31.748.0%29.1%4.688.2%31.7%
21Jack Doumbia Jr.FSr6'6"32-623.910.75.61.82.044.7%12.2%1.365.4%33.7%
23Caleb EmbeyaFSo6'9"34-1620.73.65.80.40.950.0%—0.059.1%12.7%
3Tyler ColemanFSr6'7"32-2419.95.33.70.30.851.2%35.7%0.972.5%17.3%
24Jaquan WomackGFr6'6"32-1019.37.14.10.61.044.9%27.6%2.764.8%27.0%
41Mor SeckCSr7'1"34-1714.53.23.90.10.854.5%—0.043.3%16.4%
1Tyler SchmidtGSr6'3"32-1314.13.11.40.80.348.4%27.1%1.885.7%14.8%
13Chike NdefoGFr6'7"32-912.62.92.90.20.746.7%12.5%0.346.9%18.2%
0Ryan ConwayGSr6'1"23-910.13.50.70.30.254.3%36.4%2.971.4%20.6%
2Jaiden ColeGJr6'4"8-09.85.11.91.60.454.4%39.1%2.980.0%27.9%
12Abdou SambFSr6'8"7-17.60.90.70.40.150.0%—0.00.0%8.4%
22Ryan SkerryGJr6'4"10-03.30.30.10.20.210.7%12.5%0.8—26.8%
30Brandon HolmesFFr6'8"0-00.00.00.00.00.0——0.0——
5Jon BartonGFr6'2"0-00.00.00.00.00.0——0.0——
Rosters come from ESPN and are still filling in; incoming transfers and freshmen may be missing.

Tale of the tape

national rank toned left for away, right for home
TowsonSanta Clara
Efficiency
106.1
117.3
104.9
105.4
65.7
69.5
—
—
Shooting
46.5%
54.4%
47.8%
56.1%
29.4%
34.9%
68.9%
74.4%
30.4%
25.5%
Ball control & glass
15.9%
15.4%
15.1%
19.9%
36.0%
36.4%
29.1%
32.1%
7.4%
9.2%
7.6%
9.0%
Style
34.9%
45.0%
43.4%
43.7%
13.0%
15.2%
38.9%
55.0%
35.0%
35.7%
Roster
2.98
2.38
6'6.2"
6'5.1"
—
65.0%

Offseason

roster movement into this season — descriptive, not a model input
Towson
Returning minutes: 100.0%Returning production: 100.0%
ESPN hasn't posted Towson's roster for this season yet — no movement to show.

Returns 100% of last season's minutes. Teams returning at least 65% of last season's minutes have historically gained about 2.2 points of AdjEM (n=156 team-seasons, 2022-2026). (ESPN hasn't posted this season's roster yet -- this may still be last season's list.)

Santa Clara
Returning minutes: 65.0%Returning production: 55.6%
Lost
  • Elijah Mahi 30.4 mpg, 14.1 ppg · not on a D1 roster yet
  • Allen Graves 22.6 mpg, 11.8 ppg · not on a D1 roster yet
  • Bukky Oboye 17.3 mpg, 7.7 ppg · transferred to Auburn
Added
  • Brad Longcor III no D1 minutes last season
  • Malachi Douyon no D1 minutes last season
  • Noah Badibanga no D1 minutes last season
  • Chris Tadjo no D1 minutes last season
  • Gehrig Normand no D1 minutes last season

No incoming D1 transfers are listed on ESPN's roster yet — until they are, returning shares read high.

Returns 65% of last season's minutes; lost 2 of its top 5. Teams returning at least 65% of last season's minutes have historically gained about 2.2 points of AdjEM (n=156 team-seasons, 2022-2026).

Head-to-head

this season and last
No meetings the last two seasons.

The CBB Matchups tab lays out the day's Division I slate: matchup, tip time, records and rank, and — once posted — Pinnacle's spread and total (the median across books when Pinnacle has no line). Three views switch the table between projected scores, pace and totals, and each team's offensive and defensive tendencies. Each game opens into opponent-adjusted possessions, efficiency and four-factor tendencies for both teams, plus recent form, rotation and head-to-head history. Every game also carries our projected score, spread and total, built bottom-up from those same numbers: expected possessions times each side's opponent-adjusted points per possession, plus home court.

What these numbers mean: line shopping.