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-conferenceStroh Center, Bowling Green, OH
Niagara
Efficiency #337
2025-26: 8-22 · 5-15 conf
@
Bowling Green
Efficiency #114
2025-26: 18-14 · 9-10 conf
Thu, Nov 12 · TBD
63.1
win 13%
Projected
75.9
win 87%
No line posted yet.
Model: BGSU −12.8 · total 139.1 · 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: Bowling Green 68.9, Niagara 65.0 → 65.6 possessions
−5.9
Bowling Green offense vs Niagara defense
+2.9
Niagara offense vs Bowling Green defense
−6.1
Projected total
139.1
Axis starts at 135 pointsPoints added or removed at each step
Projected margin
Even game
0.0
Bowling Green offense vs Niagara defense
+2.9
Niagara offense vs Bowling Green defense
+6.1
Home court+2.9 points per 100 possessions to the home offense, −2.9 to the visitors
+3.8
Bowling Green by 12.8
12.8
Niagara side ◂▸ Bowling Green side

Steps are rounded to one decimal, so they can differ from the total by 0.1. The margin is the same build seen from the home side; positive numbers help Bowling Green.

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 65.6, from each team's opponent-adjusted tempo. On raw 2025-26 season pace, Bowling Green is the faster team (70.2, #86 of 365) and Niagara the slower (63.1, #363). When tempos clash, the slower team usually pulls the pace harder (study weights 0.80 vs 0.66).

Projected possessions
65.6
per team, 40 min
Projected total
139.1
model
Projected team totals
63.1 / 75.9
Niagara / Bowling Green
Adjusted tempo, vs an average opponent
65.0#364
Niagara
68.9#128
Bowling Green

How this game plays

what the study found each side's numbers actually do when these two teams meet
Pace
Tempo tug-of-war
Bowling Green averages 70.2 possessions per 40, Niagara 63.1. 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.
AdvantageNiagara
Where Niagara struggles: the offensive glass
Niagara rebounds 24.8% of its own misses (#344); Bowling Green lets opponents grab 26.9% of their own misses (#31). Expect about 24.7%, 5.7 points below an average D1 matchup — worth roughly -3.4 points per 100 possessions.
TurnoversNiagara
Niagara turns it over
Projected turnover rate of 19.0% is worth roughly -2.8 points per 100 possessions against Niagara's offense.
DefenseBowling Green
Bowling Green's ball-hawking
Bowling Green ranks #31 nationally in steal rate — one of the few defensive numbers that travels. Expect about 11.3% of Niagara's possessions to end in a steal against this defense.
AdvantageBowling Green
Where Bowling Green scores: shooting
Bowling Green shoots an effective 51.8% (#153); Niagara allows 52.8% (#260). Expect about 52.4%, 1.1 points above an average D1 matchup — worth roughly +1.6 points per 100 possessions.
Niagara has the ball
OffenseBowling Green allowsvs D1 avg
50.5% #214
51.0% #163
-0.8 pt/100
18.9% #319
18.4% #80
-2.8 pt/100
24.8% #344
26.9% #31
-3.4 pt/100
26.6% #353
37.2% #243
-0.4 pt/100
72.2% #203
—
-0.0 pt/100
Niagara net across the four factors + FT%, vs. a D1-average matchup: -7.4 pts/100
Bowling Green has the ball
OffenseNiagara allowsvs D1 avg
51.8% #153
52.8% #260
+1.6 pt/100
16.5% #166
16.6% #179
+0.3 pt/100
28.7% #244
32.9% #297
+0.0 pt/100
37.0% #129
33.8% #144
+0.0 pt/100
72.3% #196
—
-0.0 pt/100
Bowling Green net across the four factors + FT%, vs. a D1-average matchup: +1.9 pts/100

Shot diet

Where each offense shoots from and where each defense lets teams shoot · 2025-26 numbers
Niagaraoffense vsBowling Greendefense
Share of shots by zone
Niagara shoots
Bowling Green allows
D-I average
FG% by zone
ZoneD-I avg
Rim54.1%#32055.8%#8158.6%
Short 2 (≤9 ft)31.3%#33946.3%#32339.5%
Mid 2 (10 ft+)40.0%#10940.2%#25138.0%
Three33.7%#18833.5%#16133.7%
Bowling Greenoffense vsNiagaradefense
Share of shots by zone
Bowling Green shoots
Niagara allows
D-I average
FG% by zone
ZoneD-I avg
Rim57.4%#21458.7%#17658.6%
Short 2 (≤9 ft)33.8%#30641.5%#22539.5%
Mid 2 (10 ft+)35.5%#27440.6%#26038.0%
Three34.4%#14835.3%#26833.7%
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
Niagara
−5.9extra scoring chances per game vs a D-I average team#356 of 365
Off reb %
24.8%
#344
Def reb %
67.1%
#297
Turnover %
18.9%
#319
Forced TO %
16.6%
#179
FT rate
26.6%
#353
FT allowed
33.8%
#144
Where the chances come from (per game)
Offensive rebounding−1.8
Defensive rebounding−0.7
Ball security−1.5
Forcing turnovers−0.1
Foul shots drawn−2.2
Foul shots allowed+0.4
Bowling Green
+2.0extra scoring chances per game vs a D-I average team#98 of 365
Off reb %
28.7%
#244
Def reb %
73.1%
#31
Turnover %
16.5%
#166
Forced TO %
18.4%
#80
FT rate
37.0%
#129
FT allowed
37.2%
#243
Where the chances come from (per game)
Offensive rebounding−0.6
Defensive rebounding+1.2
Ball security+0.2
Forcing turnovers+1.2
Foul shots drawn+0.5
Foul shots allowed−0.5

Bowling Green has more extra scoring chances per game: +2.0 (#98 of 365) to Niagara’s −5.9 (#356).

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

Niagara2025-26 numbers
#PlayerPosClHtGP-GSMPGPPGRPGAPGTOVeFG%3P%3PA/gFT%UsageStatus
10Cole Farrellat Long Beach StGSr6'5"32-3220.76.42.21.31.143.7%27.5%1.665.4%21.6%
2Trenton WaltersGSr5'9"25-722.47.21.62.71.540.8%35.4%3.281.2%25.2%
4Logan Woodsat Wright StGSr6'5"35-818.45.31.91.50.954.0%33.3%2.366.7%17.7%
8Bastien Rieberat Fresno StGJr6'2"32-716.44.01.21.51.248.4%34.8%1.474.5%17.0%
77Tae Blackshearat Youngstown StGSr6'6"30-014.66.81.60.70.850.0%32.8%4.076.2%29.7%
1Vukasin Todorovicat Green BayFSo6'8"20-09.82.91.40.90.842.5%14.3%0.360.0%24.5%
9Gael DalmauGSo6'6"8-06.81.80.50.30.441.2%26.7%1.9—23.8%
12Brian AngelettiFFr6'8"0-00.00.00.00.00.0——0.0——
24Daniel EmokhareFFr6'8"0-00.00.00.00.00.0——0.0——
5Fidel RottaFFr6'9"0-00.00.00.00.00.0——0.0——
7Jackson RedmondGJr6'4"0-00.00.00.00.00.0——0.0——
6Noah SlingerlandFSr6'7"0-00.00.00.00.00.0——0.0——
0Ruey RueyGFr6'5"0-00.00.00.00.00.0——0.0——
13Samuele MiccoliGSo6'3"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.
Transfers in: Tae Blackshear (from Youngstown St), Cole Farrell (from Long Beach St), Bastien Rieber (from Fresno St), Vukasin Todorovic (from Green Bay), Logan Woods (from Wright St)

Tale of the tape

national rank toned left for away, right for home
NiagaraBowling Green
Efficiency
102.5
107.8
113.6
105.1
65.0
68.9
—
—
Shooting
50.5%
51.8%
50.5%
51.9%
33.7%
34.4%
72.2%
72.3%
26.6%
37.0%
Ball control & glass
18.9%
16.5%
16.6%
18.4%
24.8%
28.7%
32.9%
26.9%
10.4%
9.0%
9.7%
9.8%
Style
40.5%
34.2%
45.0%
48.7%
10.1%
19.8%
60.0%
48.5%
37.6%
28.7%
Roster
3.67
2.96
6'3.4"
6'4.4"
10.2%
20.3%

Offseason

roster movement into this season — descriptive, not a model input
Niagara
Returning minutes: 10.2%Returning production: 8.3%
Lost
  • Reggie Prudhomme 26.4 mpg, 6.1 ppg · not on a D1 roster yet
  • Justin Hawkins 26.2 mpg, 8.3 ppg · not on a D1 roster yet
  • Justin Page 21.1 mpg, 8.5 ppg · not on a D1 roster yet
  • Vice Zanki 20.3 mpg, 7.8 ppg · not on a D1 roster yet
  • Josiah Sabino 19.6 mpg, 6.6 ppg · transferred to Manhattan
  • Will Shortt 19.5 mpg, 6.5 ppg · not on a D1 roster yet
Added
  • Cole Farrell from Long Beach St · 20.7 mpg, 6.4 ppg last season
  • Logan Woods from Wright St · 18.4 mpg, 5.3 ppg last season
  • Bastien Rieber from Fresno St · 16.4 mpg, 4.0 ppg last season
  • Tae Blackshear from Youngstown St · 13.7 mpg, 6.3 ppg last season
  • Vukasin Todorovic from Green Bay · 5.9 mpg, 1.7 ppg last season
  • Brian Angeletti no D1 minutes last season

Returns 10% of last season's minutes; lost 5 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).

Bowling Green
Returning minutes: 20.3%Returning production: 18.4%
Lost
  • Javontae Campbell 34.1 mpg, 18.7 ppg · not on a D1 roster yet
  • Sam Towns 32.0 mpg, 11.9 ppg · not on a D1 roster yet
  • Justin Thomas 24.3 mpg, 5.1 ppg · not on a D1 roster yet
  • Troy Glover II 22.9 mpg, 7.7 ppg · not on a D1 roster yet
  • Javon Ruffin 22.8 mpg, 7.5 ppg · not on a D1 roster yet
  • Mayar Wol 20.0 mpg, 10.5 ppg · not on a D1 roster yet
Added
  • Jayden Johnson from SC State · 27.4 mpg, 13.4 ppg last season
  • Juan Cranford Jr. from E Kentucky · 25.9 mpg, 12.1 ppg last season
  • Christ Essandoko from South Carolina · 4.9 mpg, 1.3 ppg last season
  • Tristan Beckford from South Florida · 4.4 mpg, 1.6 ppg last season
  • Zach Howell no D1 minutes last season
  • Talan Staley no D1 minutes last season

Returns 20% of last season's minutes; lost 4 of its top 5. 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.