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-conferenceCapital One Arena, Washington, DC
Loyola MD
Efficiency #313
2025-26: 12-20 · 8-11 conf
@
Georgetown
Efficiency #95
2025-26: 16-18 · 8-15 conf
Mon, Nov 2 · TBD
68.5
win 14%
Projected
81.1
win 86%
No line posted yet.
Model: GTWN −12.7 · total 149.6 · 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: Georgetown 67.6, Loyola MD 68.8 → 68.1 possessions
−0.5
Georgetown offense vs Loyola MD defense
+5.3
Loyola MD offense vs Georgetown defense
−3.4
Projected total
149.6
Axis starts at 144 pointsPoints added or removed at each step
Projected margin
Even game
0.0
Georgetown offense vs Loyola MD defense
+5.3
Loyola MD offense vs Georgetown defense
+3.4
Home court+2.9 points per 100 possessions to the home offense, −2.9 to the visitors
+3.9
Georgetown by 12.7
12.7
Loyola MD side ◂▸ Georgetown side

Steps are rounded to one decimal, so they can differ from the total by 0.1: the margin steps add to +12.6 against +12.7. The margin is the same build seen from the home side; positive numbers help Georgetown.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 68.1, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Loyola MD is the faster team (68.1, #194 of 365) and Georgetown the slower (67.0, #244). When tempos clash, the slower team usually pulls the pace harder (study weights 0.80 vs 0.66).

Projected possessions
68.1
per team, 40 min
Projected total
149.6
model
Projected team totals
68.5 / 81.1
Loyola MD / Georgetown
Adjusted tempo, vs an average opponent
68.8#134
Loyola MD
67.6#247
Georgetown

How this game plays

what the study found each side's numbers actually do when these two teams meet
AdvantageGeorgetown
Where Georgetown scores: ball control
Georgetown turns it over on 15.8% of possessions (#119); Loyola MD forces turnovers on 15.3% of opponent possessions (#265). Expect about 15.3%, 1.5 points below an average D1 matchup — worth roughly +1.9 points per 100 possessions.
AdvantageLoyola MD
Where Loyola MD struggles: shooting
Loyola MD shoots an effective 50.4% (#219); Georgetown allows 49.9% (#96). Expect about 50.1%, 1.2 points below an average D1 matchup — worth roughly -1.7 points per 100 possessions.
Loyola MD has the ball
OffenseGeorgetown allowsvs D1 avg
50.4% #219
49.9% #96
-1.7 pt/100
15.5% #105
16.2% #212
+1.3 pt/100
27.6% #279
31.5% #228
-0.9 pt/100
29.9% #312
33.9% #146
-0.4 pt/100
71.5% #223
—
-0.1 pt/100
Loyola MD net across the four factors + FT%, vs. a D1-average matchup: -1.7 pts/100
Georgetown has the ball
OffenseLoyola MD allowsvs D1 avg
49.6% #257
54.7% #321
+1.1 pt/100
15.8% #119
15.3% #265
+1.9 pt/100
32.5% #107
29.0% #103
+0.5 pt/100
37.3% #121
32.7% #123
-0.0 pt/100
74.0% #133
—
+0.1 pt/100
Georgetown net across the four factors + FT%, vs. a D1-average matchup: +3.6 pts/100

Shot diet

Where each offense shoots from and where each defense lets teams shoot · 2025-26 numbers
Loyola MDoffense vsGeorgetowndefense
Share of shots by zone
Loyola MD shoots
Georgetown allows
D-I average
FG% by zone
ZoneD-I avg
Rim56.6%#25156.6%#10558.6%
Short 2 (≤9 ft)46.6%#4433.3%#3139.5%
Mid 2 (10 ft+)36.1%#26241.9%#29438.0%
Three32.6%#25133.3%#13933.7%
Georgetownoffense vsLoyola MDdefense
Share of shots by zone
Georgetown shoots
Loyola MD allows
D-I average
FG% by zone
ZoneD-I avg
Rim56.9%#24365.1%#35258.6%
Short 2 (≤9 ft)39.7%#18252.3%#35939.5%
Mid 2 (10 ft+)40.9%#8047.3%#36238.0%
Three31.8%#28532.8%#10633.7%
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
Loyola MD
−1.1extra scoring chances per game vs a D-I average team#240 of 365
Off reb %
27.6%
#279
Def reb %
71.0%
#103
Turnover %
15.5%
#105
Forced TO %
15.3%
#265
FT rate
29.9%
#312
FT allowed
32.7%
#123
Where the chances come from (per game)
Offensive rebounding−0.9
Defensive rebounding+0.5
Ball security+0.9
Forcing turnovers−1.0
Foul shots drawn−1.3
Foul shots allowed+0.6
Georgetown
+1.7extra scoring chances per game vs a D-I average team#113 of 365
Off reb %
32.5%
#107
Def reb %
68.5%
#228
Turnover %
15.8%
#119
Forced TO %
16.2%
#212
FT rate
37.3%
#121
FT allowed
33.9%
#146
Where the chances come from (per game)
Offensive rebounding+0.7
Defensive rebounding−0.3
Ball security+0.7
Forcing turnovers−0.3
Foul shots drawn+0.6
Foul shots allowed+0.3

Georgetown has more extra scoring chances per game: +1.7 (#113 of 365) to Loyola MD’s −1.1 (#240).

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

Loyola MD2025-26 numbers
#PlayerPosClHtGP-GSMPGPPGRPGAPGTOVeFG%3P%3PA/gFT%UsageStatus
0Braeden SpeedGSo6'3"32-3232.715.34.43.82.052.3%36.5%4.682.2%26.9%
3Jordan StiemkeGJr6'5"32-2827.59.93.11.40.948.6%33.7%5.181.1%22.1%
15Tyson CommanderGSr6'4"31-1723.54.12.61.11.254.8%40.8%1.672.2%11.9%
18Emmett AdairFFr6'9"27-1525.414.65.41.01.453.5%31.5%5.381.1%33.2%
22Sam SpringerFSo6'7"32-3116.84.92.20.60.750.0%35.1%2.368.3%18.2%
24Sebastien EmenaloGFr6'6"31-014.53.23.30.40.545.9%30.9%1.847.6%16.0%
2Troy Cicero Jr.GJr6'2"32-013.95.82.20.70.552.5%38.0%3.877.3%24.6%
1Carter Berg-McLeanGFr6'4"30-013.93.32.51.60.741.9%19.2%0.976.2%18.4%
7Jonas SirtautasFJr6'10"19-1219.36.53.60.60.963.3%14.3%0.747.9%18.7%
17Everett BarnesFFr6'9"25-58.51.51.60.30.351.5%40.0%0.220.0%13.6%
14Garrett BrennanGSr6'4"14-14.10.91.20.40.136.7%12.5%0.628.6%18.8%
13Ben MenkerGSo6'5"12-01.80.70.30.10.250.0%33.3%0.5—26.8%
5Peter SpositoGSr6'2"11-11.50.30.30.00.121.4%25.0%0.40.0%30.1%
8Goap KodiFSo6'10"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
Loyola MDGeorgetown
Efficiency
105.6
110.7
114.0
106.3
68.8
67.6
—
—
Shooting
50.4%
49.6%
51.9%
50.7%
32.6%
31.8%
71.5%
74.0%
29.9%
37.3%
Ball control & glass
15.5%
15.8%
15.3%
16.2%
27.6%
32.5%
29.0%
31.5%
8.7%
9.2%
8.3%
9.1%
Style
47.2%
35.2%
40.4%
44.1%
10.0%
16.0%
48.8%
57.8%
37.7%
33.5%
Roster
2.26
2.74
6'5.4"
6'6.3"
90.3%
—

Offseason

roster movement into this season — descriptive, not a model input
Loyola MD
Returning minutes: 90.3%Returning production: 86.5%
Lost
  • Jacob Theodosiou 19.7 mpg, 11.0 ppg · transferred to Duke
Added
  • Goap Kodi no D1 minutes last season

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

Returns 90% of last season's minutes; lost 1 of its top 5 (1 transferred). 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).

Georgetown
Returning minutes: 100.0%Returning production: 100.0%
ESPN hasn't posted Georgetown'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.)

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.