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-conferenceDean E. Smith Center, Chapel Hill, NC
Marshall
Efficiency #175
2025-26: 19-13 · 11-8 conf
@
North Carolina
Efficiency #29
2025-26: 24-9 · 12-7 conf
Fri, Nov 20 · TBD
71.9
win 13%
Projected
84.9
win 87%
No line posted yet.
Model: UNC −13.0 · total 156.7 · 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: North Carolina 68.7, Marshall 69.7 → 70.1 possessions
+3.8
North Carolina offense vs Marshall defense
+6.8
Marshall offense vs North Carolina defense
−2.1
Projected total
156.7
Axis starts at 140 pointsPoints added or removed at each step
Projected margin
Even game
0.0
North Carolina offense vs Marshall defense
+6.8
Marshall offense vs North Carolina defense
+2.1
Home court+2.9 points per 100 possessions to the home offense, −2.9 to the visitors
+4.0
North Carolina by 13.0
13.0
Marshall side ◂▸ North Carolina side

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

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 70.1, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Marshall is the faster team (70.7, #66 of 365) and North Carolina the slower (68.8, #162). When tempos clash, the slower team usually pulls the pace harder (study weights 0.80 vs 0.66).

Projected possessions
70.1
per team, 40 min
Projected total
156.7
model
Projected team totals
71.9 / 84.9
Marshall / North Carolina
Adjusted tempo, vs an average opponent
69.7#71
Marshall
68.7#144
North Carolina

How this game plays

what the study found each side's numbers actually do when these two teams meet
AdvantageMarshall
Where Marshall scores: ball control
Marshall turns it over on 16.6% of possessions (#171); North Carolina forces turnovers on 13.6% of opponent possessions (#344). Expect about 14.6%, 2.1 points below an average D1 matchup — worth roughly +2.6 points per 100 possessions.
AdvantageNorth Carolina
Where North Carolina scores: ball control
North Carolina turns it over on 13.9% of possessions (#19); Marshall forces turnovers on 16.3% of opponent possessions (#201). Expect about 14.8%, 1.9 points below an average D1 matchup — worth roughly +2.4 points per 100 possessions.
DefenseMarshall
Marshall's shot-blocking
Marshall ranks #23 nationally in block rate — one of the few defensive numbers that travels. Expect about 11.8% of North Carolina's two-point attempts to get blocked against this defense.
Watch for noise
3-point caution
A notable season 3-point number here (Marshall) 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 Marshall at about 41.7% of its shots from three, North Carolina about 41.8%.
ClashMarshall
Strength vs strength: eFG%
Marshall (#42 in eFG%) against North Carolina (#44 in the same stat allowed) — both rank inside the national top 60. Expect about 51.8%. Historically Marshall's own number has carried a bit more weight in that exchange (0.58 vs 0.51).
ClashNorth Carolina
Style clash: ball movement
North Carolina assists on 57.2% of its made baskets; Marshall breaks up passing offenses (assists on 46.0% allowed) (D1 average 52.4%). Expect about 51.3% — the offense's habit usually carries a bit more weight (0.65 vs 0.65).
Marshall has the ball
OffenseNorth Carolina allowsvs D1 avg
54.8% #42
48.3% #44
+0.8 pt/100
16.6% #171
13.6% #344
+2.6 pt/100
31.9% #127
27.8% #59
-0.1 pt/100
29.2% #328
23.8% #3
-1.2 pt/100
73.0% #168
—
+0.1 pt/100
Marshall net across the four factors + FT%, vs. a D1-average matchup: +2.2 pts/100
North Carolina has the ball
OffenseMarshall allowsvs D1 avg
54.3% #57
50.3% #118
+1.8 pt/100
13.9% #19
16.3% #201
+2.4 pt/100
31.2% #159
33.8% #316
+1.3 pt/100
37.1% #127
41.1% #313
+0.6 pt/100
68.2% #322
—
-0.4 pt/100
North Carolina net across the four factors + FT%, vs. a D1-average matchup: +5.7 pts/100

Shot diet

Where each offense shoots from and where each defense lets teams shoot · 2025-26 numbers
Marshalloffense vsNorth Carolinadefense
Share of shots by zone
Marshall shoots
North Carolina allows
D-I average
FG% by zone
ZoneD-I avg
Rim66.8%#855.8%#7958.6%
Short 2 (≤9 ft)36.8%#24841.1%#21139.5%
Mid 2 (10 ft+)36.9%#22933.5%#3838.0%
Three36.8%#3434.7%#23433.7%
North Carolinaoffense vsMarshalldefense
Share of shots by zone
North Carolina shoots
Marshall allows
D-I average
FG% by zone
ZoneD-I avg
Rim65.0%#2260.2%#24158.6%
Short 2 (≤9 ft)42.3%#11435.8%#8739.5%
Mid 2 (10 ft+)42.1%#5134.0%#5038.0%
Three34.2%#15933.6%#16233.7%
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
Marshall
−3.7extra scoring chances per game vs a D-I average team#322 of 365
Off reb %
31.9%
#127
Def reb %
66.2%
#316
Turnover %
16.6%
#171
Forced TO %
16.3%
#201
FT rate
29.2%
#328
FT allowed
41.1%
#313
Where the chances come from (per game)
Offensive rebounding+0.5
Defensive rebounding−1.0
Ball security+0.1
Forcing turnovers−0.3
Foul shots drawn−1.5
Foul shots allowed−1.5
North Carolina
+4.5extra scoring chances per game vs a D-I average team#31 of 365
Off reb %
31.2%
#159
Def reb %
72.2%
#59
Turnover %
13.9%
#19
Forced TO %
13.6%
#344
FT rate
37.1%
#127
FT allowed
23.8%
#3
Where the chances come from (per game)
Offensive rebounding+0.3
Defensive rebounding+0.9
Ball security+2.0
Forcing turnovers−2.1
Foul shots drawn+0.5
Foul shots allowed+2.9

North Carolina has more extra scoring chances per game: +4.5 (#31 of 365) to Marshall’s −3.7 (#322).

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

Marshall2025-26 numbers
#PlayerPosClHtGP-GSMPGPPGRPGAPGTOVeFG%3P%3PA/gFT%UsageStatus
50Jalen SpeerGSr6'1"32-3232.515.74.15.52.448.7%36.4%7.883.0%30.4%
5Noah OtshudiGSr6'2"31-3131.514.53.43.52.748.9%30.0%2.384.5%29.0%
3Wilson DubinskyGSr6'3"32-018.85.03.21.20.449.6%37.1%3.377.4%15.6%
15Caleb HollenbeckGSr6'4"32-2717.35.71.61.00.458.3%39.7%4.341.7%17.5%
6Landen JosephGFr6'2"31-617.87.92.52.11.259.2%41.3%3.070.8%24.5%
13Matt Van KomenCSr7'4"22-2020.97.87.60.61.673.7%—0.076.2%18.7%
11Erich HardingFSo6'10"32-1214.33.82.70.50.762.8%0.0%0.147.2%15.5%
9Shamarrie HugieGJr6'6"26-112.34.42.50.50.756.8%41.4%1.164.7%20.4%
4Drew FuquayFJr6'8"28-07.82.81.90.20.364.3%41.7%0.472.7%17.5%
8Bryce SlayGFr6'6"24-08.72.11.10.60.341.3%35.7%1.281.3%16.5%
0Kai SpearsGJr6'3"15-04.91.21.10.40.131.3%0.0%0.188.9%16.0%
14Grant MooreGJr6'6"2-03.01.50.50.00.550.0%33.3%1.5—35.8%
1Kaiden WhiteGSo6'3"0-00.00.00.00.00.0——0.0——
12Will MooreGSo6'7"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
MarshallNorth Carolina
Efficiency
111.3
115.5
111.2
102.6
69.7
68.7
—
—
Shooting
54.8%
54.3%
54.6%
56.5%
36.8%
34.2%
73.0%
68.2%
29.2%
37.1%
Ball control & glass
16.6%
13.9%
16.3%
13.6%
31.9%
31.2%
33.8%
27.8%
10.1%
8.3%
8.1%
9.1%
Style
44.3%
42.2%
37.7%
42.6%
15.3%
14.4%
56.5%
57.2%
32.6%
28.4%
Roster
3.30
3.37
6'4.6"
6'6.7"
85.4%
17.0%

Offseason

roster movement into this season — descriptive, not a model input
Marshall
Returning minutes: 85.4%Returning production: 80.3%
Lost
  • Wyatt Fricks 29.1 mpg, 15.7 ppg · not on a D1 roster yet
Added
  • Kaiden White no D1 minutes last season
  • Will Moore no D1 minutes last season

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

Returns 85% of last season's minutes; lost 1 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).

North Carolina
Returning minutes: 17.0%Returning production: 13.2%
Lost
  • Henri Veesaar 29.5 mpg, 16.0 ppg · not on a D1 roster yet
  • Luka Bogavac 24.4 mpg, 9.8 ppg · not on a D1 roster yet
  • Seth Trimble 23.6 mpg, 10.2 ppg · transferred to Louisville
  • Caleb Wilson 22.9 mpg, 14.4 ppg · not on a D1 roster yet
  • Derek Dixon 22.3 mpg, 6.5 ppg · not on a D1 roster yet
  • Kyan Evans 17.6 mpg, 4.0 ppg · not on a D1 roster yet
Added
  • Terrence Brown from Utah · 31.5 mpg, 19.9 ppg last season
  • Neo Avdalas from Virginia Tech · 30.8 mpg, 11.7 ppg last season
  • Angelo Brizzi from Buffalo · 29.8 mpg, 14.5 ppg last season
  • Cameron Fens from South Dakota · 25.3 mpg, 14.4 ppg last season
  • Matt Able from NC State · 21.7 mpg, 8.8 ppg last season
  • Kevin Thomas no D1 minutes last season

Returns 17% of last season's minutes; lost 4 of its top 5 (1 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 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.