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-conferenceNewman Arena, Ithaca, NY
Bucknell
Efficiency #334
2025-26: 10-23 · 7-13 conf
@
Cornell
Efficiency #135
2025-26: 15-13 · 8-7 conf
Tue, Nov 24 · 8:00 PM ET
73.6
win 13%
Projected
86.5
win 87%
No line posted yet.
Model: COR −12.9 · total 160.1 · 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: Cornell 70.9, Bucknell 68.1 → 70.7 possessions
+5.1
Cornell offense vs Bucknell defense
+7.8
Bucknell offense vs Cornell defense
−1.1
Projected total
160.1
Axis starts at 140 pointsPoints added or removed at each step
Projected margin
Even game
0.0
Cornell offense vs Bucknell defense
+7.8
Bucknell offense vs Cornell defense
+1.1
Home court+2.9 points per 100 possessions to the home offense, −2.9 to the visitors
+4.1
Cornell by 12.9
12.9
Bucknell side ◂▸ Cornell side

Steps are rounded to one decimal, so they can differ from the total by 0.1: the total steps add to 160.0 against a projected 160.1, and the margin steps add to +13.0 against +12.9. The margin is the same build seen from the home side; positive numbers help Cornell.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 70.7, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Cornell is the faster team (71.3, #40 of 365) and Bucknell the slower (66.9, #247). When tempos clash, the slower team usually pulls the pace harder (study weights 0.80 vs 0.66).

Projected possessions
70.7
per team, 40 min
Projected total
160.1
model
Projected team totals
73.6 / 86.5
Bucknell / Cornell
Adjusted tempo, vs an average opponent
68.1#202
Bucknell
70.9#19
Cornell

How this game plays

what the study found each side's numbers actually do when these two teams meet
AdvantageCornell
Where Cornell scores: shooting
Cornell shoots an effective 58.5% (#7); Bucknell allows 54.7% (#323). Expect about 57.2%, 6.0 points above an average D1 matchup — worth roughly +8.5 points per 100 possessions.
ClashCornell
Style match: ball movement
Cornell assists on 66.7% of its made baskets; Bucknell allows assists on 61.8% of opponents' baskets (D1 average 52.4%). Expect about 67.8% — both habits push the same way.
ClashCornell
Style match: 3-point volume
Cornell takes 51.6% of its shots from three; Bucknell lets opponents take 45.7% of their shots from three (D1 average 39.5%). Expect about 53.2% — both habits push the same way.
Watch for noise
3-point caution
A notable season 3-point number here (Cornell, Bucknell, Cornell's defense, Bucknell'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 Bucknell at about 41.3% of its shots from three, Cornell about 53.2%.
ClashCornell
Style match: paint scoring
Cornell gets only 38.9% of its points in the paint; Bucknell protects the paint (37.6% of opponents' points) (D1 average 42.8%). Expect about 40.1% — both habits push the same way.
Bucknell has the ball
OffenseCornell allowsvs D1 avg
48.5% #304
55.9% #343
+1.1 pt/100
19.0% #320
15.1% #279
-0.2 pt/100
27.0% #295
30.6% #187
-1.4 pt/100
29.8% #314
37.2% #244
-0.2 pt/100
76.8% #35
—
+0.4 pt/100
Bucknell net across the four factors + FT%, vs. a D1-average matchup: -0.3 pts/100
Cornell has the ball
OffenseBucknell allowsvs D1 avg
58.5% #7
54.7% #323
+8.5 pt/100
16.0% #139
17.9% #99
-0.3 pt/100
30.2% #193
31.3% #216
+0.2 pt/100
30.2% #304
35.3% #186
-0.3 pt/100
74.1% #124
—
+0.2 pt/100
Cornell net across the four factors + FT%, vs. a D1-average matchup: +8.2 pts/100

Shot diet

Where each offense shoots from and where each defense lets teams shoot · 2025-26 numbers
Bucknelloffense vsCornelldefense
Share of shots by zone
Bucknell shoots
Cornell allows
D-I average
FG% by zone
ZoneD-I avg
Rim57.8%#20160.7%#25658.6%
Short 2 (≤9 ft)36.2%#26544.6%#28539.5%
Mid 2 (10 ft+)32.5%#33641.7%#29338.0%
Three30.6%#32837.5%#34933.7%
Cornelloffense vsBucknelldefense
Share of shots by zone
Cornell shoots
Bucknell allows
D-I average
FG% by zone
ZoneD-I avg
Rim61.8%#7760.3%#24558.6%
Short 2 (≤9 ft)51.5%#745.5%#30939.5%
Mid 2 (10 ft+)43.5%#3140.7%#26838.0%
Three38.3%#1437.0%#34433.7%
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
Bucknell
−3.4extra scoring chances per game vs a D-I average team#310 of 365
Off reb %
27.0%
#295
Def reb %
68.7%
#216
Turnover %
19.0%
#320
Forced TO %
17.9%
#99
FT rate
29.8%
#314
FT allowed
35.3%
#186
Where the chances come from (per game)
Offensive rebounding−1.1
Defensive rebounding−0.2
Ball security−1.5
Forcing turnovers+0.8
Foul shots drawn−1.3
Foul shots allowed0.0
Cornell
−2.4extra scoring chances per game vs a D-I average team#281 of 365
Off reb %
30.2%
#193
Def reb %
69.4%
#187
Turnover %
16.0%
#139
Forced TO %
15.1%
#279
FT rate
30.2%
#304
FT allowed
37.2%
#244
Where the chances come from (per game)
Offensive rebounding−0.1
Defensive rebounding0.0
Ball security+0.5
Forcing turnovers−1.1
Foul shots drawn−1.2
Foul shots allowed−0.5

Cornell has more extra scoring chances per game: −2.4 (#281 of 365) to Bucknell’s −3.4 (#310).

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

Bucknell2025-26 numbers
#PlayerPosClHtGP-GSMPGPPGRPGAPGTOVeFG%3P%3PA/gFT%UsageStatus
24Achile SpadoneGSr6'4"33-3334.812.46.11.91.947.3%29.7%4.479.2%23.9%
2Jayden WilliamsGSo5'10"33-3332.67.52.94.01.839.4%31.0%3.582.8%18.7%
22Amon DorriesCFr6'11"33-3232.516.24.41.42.757.8%33.3%2.578.8%29.2%
3Aleksander PachuckiGSo6'5"33-1020.75.92.80.80.753.9%35.9%3.569.6%17.5%
21Pat CurtinGFr6'3"27-1925.112.84.31.51.847.8%26.9%4.480.2%33.4%
4Ruot BijiekFSr6'9"12-1128.811.85.20.82.644.2%28.4%6.285.4%29.2%
1Jacob MeachemGFr5'8"30-010.41.50.51.61.027.4%25.0%0.477.3%17.5%
23Grgur BrcicCJr6'10"18-816.94.34.80.40.756.9%—0.046.2%16.2%
10Brandon McCreeshGJr6'4"8-827.67.43.11.60.852.9%37.5%4.062.5%16.2%
0Patrick O'BrienFJr6'8"21-39.82.21.20.10.239.7%16.7%0.970.4%15.1%
5Josh FultonGSr6'6"8-010.92.32.41.31.075.0%0.0%0.185.7%12.7%
7Matt LangeGSo6'2"8-02.50.50.30.00.1150.0%100.0%0.125.0%11.0%
32Kellen WelchFSo6'7"10-01.90.50.70.10.028.6%0.0%0.250.0%23.9%
11Brady MullerFSr6'4"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
BucknellCornell
Efficiency
101.2
116.2
111.7
114.3
68.1
70.9
—
—
Shooting
48.5%
58.5%
50.4%
59.7%
30.6%
38.3%
76.8%
74.1%
29.8%
30.2%
Ball control & glass
19.0%
16.0%
17.9%
15.1%
27.0%
30.2%
31.3%
30.6%
11.1%
9.1%
11.5%
9.6%
Style
42.7%
51.6%
43.4%
38.9%
9.9%
14.4%
54.0%
66.7%
24.0%
41.9%
Roster
2.30
3.37
6'4.5"
6'3.9"
92.5%
—

Offseason

roster movement into this season — descriptive, not a model input
Bucknell
Returning minutes: 92.5%Returning production: 96.3%
Lost
  • Quin Berger 15.1 mpg, 2.8 ppg · transferred to Miami
Added
  • Brady Muller no D1 minutes last season

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

Returns 93% 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).

Cornell
Returning minutes: 100.0%Returning production: 100.0%
ESPN hasn't posted Cornell'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
DateSeasonResult
Sun, Nov 302025-26Cornell 101 – 72 Bucknell

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.