Northern Iowa Panthers vs Oakland Golden Grizzlies basketball preview & prediction

Sat, Nov 14 · 5:00 PM ET · OU Credit Union O'rena, Rochester, MI

Non-conferenceESPN+OU Credit Union O'rena, Rochester, MI
Northern Iowa
1-1 · 0-0 conf
Efficiency #113
@
Oakland
0-4 · 0-0 conf
Efficiency #267
Sat, Nov 14 · 5:00 PM ET
Our projected score shows once the market opens.
No line posted yet.

Our play

Pace & total

possessions per 40 minutes
Tempo, possessions per 40 minutes

Projected possessions: 68.7, from each team's opponent-adjusted tempo. On raw season pace, Northern Iowa is the faster team (75.0, #66 of 365) and Oakland the slower (69.3, #227). When tempos clash, the slower team usually pulls the pace harder (weights 0.80 vs 0.66).

Projected possessions
68.7
per team, 40 min
Adjusted tempo, vs an average opponent
69.8#231
Northern Iowa
69.4#262
Oakland

How this game plays

points this game from the four factors, vs an average D-I matchup
From the four factors
Oakland has the ball+7.1
Northern Iowa has the ball+9.1
Oakland has the ball
✓Takes care of the ballTO% 19.8% #244 · UNI forces 12.0% #330 · ~10 turnovers+2.6
✓Gets to the lineFTR 42.3% #114 · UNI allows 81.5% #359 · FT 70.8% #162+2.5
✓Shoots it welleFG% 43.6% #286 · UNI allows 62.0% #336+2.1
✗Few second chancesOR% 33.3% #135 · UNI allows 28.6% #132−0.1
Northern Iowa has the ball
✓Takes care of the ballTO% 12.0% #24 · OAK forces 13.7% #295 · ~8 turnovers+5.4
✓Shoots it welleFG% 48.6% #202 · OAK allows 62.5% #339+5.1
✗Few second chancesOR% 26.2% #272 · OAK allows 33.3% #217−1.2
✗Few trips to the lineFTR 27.5% #283 · OAK allows 24.1% #40 · FT 84.2% #18−0.2

Shot diet

Where each offense shoots from and where each defense lets teams shoot
Northern Iowaoffense vsOaklanddefense
Share of shots by zone
Northern Iowa shoots
Oakland allows
D-I average
FG% by zone
ZoneD-I avg
Rim60.9%#13672.1%#32458.0%
Short 2 (≤9 ft)0.0%#32330.8%#11938.2%
Mid 2 (10 ft+)28.6%#22435.7%#18734.7%
Three31.0%#20942.6%#32332.5%
Oaklandoffense vsNorthern Iowadefense
Share of shots by zone
Oakland shoots
Northern Iowa allows
D-I average
FG% by zone
ZoneD-I avg
Rim51.4%#25553.3%#11558.0%
Short 2 (≤9 ft)30.8%#224100.0%#34838.2%
Mid 2 (10 ft+)23.1%#26733.3%#15534.7%
Three26.5%#27045.5%#34432.5%
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
Northern Iowa
−14.5extra scoring chances per game vs a D-I average team#345 of 365
Off reb %
26.2%
#272
Def reb %
71.4%
#132
Turnover %
12.0%
#24
Forced TO %
12.0%
#330
FT rate
27.5%
#283
FT allowed
81.5%
#359
Where the chances come from (per game)
Offensive rebounding−1.8
Defensive rebounding+1.0
Ball security+4.4
Forcing turnovers−4.3
Foul shots drawn−2.6
Foul shots allowed−11.3
Oakland
+0.7extra scoring chances per game vs a D-I average team#166 of 365
Off reb %
33.3%
#135
Def reb %
66.7%
#217
Turnover %
19.8%
#244
Forced TO %
13.7%
#295
FT rate
42.3%
#114
FT allowed
24.1%
#40
Where the chances come from (per game)
Offensive rebounding+0.6
Defensive rebounding−0.6
Ball security−1.1
Forcing turnovers−3.1
Foul shots drawn+1.3
Foul shots allowed+3.6

Oakland has more extra scoring chances per game: +0.7 (#166 of 365) to Northern Iowa’s −14.5 (#345).

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

Who has been playing, and who has not
Northern Iowa2026-27 numbers
#PlayerPosClHtGP-GSMPGPPGRPGAPGTOVeFG%3P%3PA/gFT%UsageStatus
1GJr6'3"2-228.016.07.54.01.040.4%16.7%3.084.6%30.0%Active
3GJr6'8"2-227.010.55.01.00.561.8%35.7%7.00.0%16.9%Active
8GSo6'4"2-025.517.53.51.02.565.9%41.7%6.066.7%30.2%Active
31FJr6'7"2-119.016.02.00.50.568.8%33.3%3.090.9%28.9%Active
9GSo6'3"2-017.04.53.01.50.045.0%25.0%2.00.0%15.0%Active
2GSo6'4"2-215.58.02.50.50.040.6%16.7%3.075.0%28.3%Active
35FJr6'9"2-213.54.55.01.00.544.4%—0.050.0%20.1%Active
0GJr6'3"2-012.05.03.01.01.060.0%0.0%0.580.0%18.6%Active
32FFr6'8"2-011.06.02.50.02.060.0%—0.075.0%27.9%Active
22FSr6'6"2-110.00.51.50.50.00.0%0.0%2.050.0%16.8%Active
7FSo6'5"2-09.00.50.51.51.00.0%—0.050.0%10.2%Active
24FSo6'8"1-013.06.01.00.01.062.5%33.3%3.050.0%20.7%Missed last
5GFr6'3"2-03.52.50.50.00.062.5%33.3%1.5—26.9%Active
15GJr6'8"1-05.00.02.01.00.00.0%—0.0—18.1%Missed last

Competitive minutes leave out garbage time (provisional rule: a second-half lead of 25+ inside 15:00, 20+ inside 10:00, 15+ inside 5:00 or 10+ inside 2:00, held to the end) and are shown per 40 minutes. Status says only whether a player appeared; the reason is not published.

Team comparison

national rank toned left for away, right for home
Northern IowaOakland
Efficiency
107.1
107.6
102.1
113.9
69.8
69.4
3.9
13.6
Shooting
48.6%
43.6%
50.0%
45.8%
31.0%
26.5%
84.2%
70.8%
27.5%
42.3%
Ball control & glass
12.0%
19.8%
12.0%
13.7%
26.2%
33.3%
28.6%
33.3%
8.0%
11.5%
7.5%
16.0%
Style
42.0%
36.6%
45.8%
44.4%
12.0%
9.0%
37.9%
37.5%
49.5%
40.0%
Roster
2.54
3.10
6'5.4"
6'5.9"
9.6%
9.9%

Offseason

roster movement into this season — descriptive, not a model input
Northern Iowa
Returning minutes: 9.6%Returning production: 5.7%
Lost
  • Trey Campbell 33.5 mpg, 13.7 ppg · transferred to Utah
  • Leon Bond III 32.8 mpg, 11.9 ppg · transferred to Iowa State
  • Ben Schwieger 27.8 mpg, 9.7 ppg · not on a D1 roster yet
  • Will Hornseth 25.5 mpg, 10.8 ppg · transferred to Utah State
  • Max Weisbrod 24.7 mpg, 5.7 ppg · transferred to N Illinois
  • Tristan Smith 16.5 mpg, 7.1 ppg · not on a D1 roster yet
Added
  • Tate McCubbin from Austin Peay · 29.5 mpg, 9.7 ppg last season
  • Greyson Uelmen from North Dakota · 27.8 mpg, 16.8 ppg last season
  • Isaiah Johnson-Arigu from St Thomas · 20.7 mpg, 10.2 ppg last season
  • Carson Vis from W Michigan · 14.8 mpg, 5.8 ppg last season
  • Ian Smikle from Tulsa · 13.8 mpg, 3.1 ppg last season
  • Jules Isebaert no D1 minutes last season

Returns 10% of last season's minutes; lost 5 of its top 5 (4 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).

Oakland
Returning minutes: 9.9%Returning production: 7.7%
Lost
  • Brody Robinson 35.8 mpg, 17.6 ppg · transferred to Creighton
  • Tuburu Naivalurua 31.9 mpg, 14.3 ppg · not on a D1 roster yet
  • Ziare Wells 26.8 mpg, 9.9 ppg · not on a D1 roster yet
  • Isaac Garrett 25.3 mpg, 12.0 ppg · transferred to High Point
  • Brett White II 24.0 mpg, 9.1 ppg · not on a D1 roster yet
  • Michael Houge 22.5 mpg, 10.6 ppg · not on a D1 roster yet
Added
  • Belal El Shakery from New Hampshire · 25.7 mpg, 11.0 ppg last season
  • Brady Swartz from W Michigan · 16.6 mpg, 6.2 ppg last season
  • Chris Fields Jr. from Campbell · 14.8 mpg, 7.7 ppg last season
  • Josh Hill from Robert Morris · 11.3 mpg, 5.0 ppg last season
  • RJ Taylor from Northern Iowa · 9.1 mpg, 2.2 ppg last season
  • Hamoudy Mashhour no D1 minutes last season

Returns 10% of last season's minutes; lost 5 of its top 5 (2 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
DateSeasonResult
Sat, Dec 132025-26Oakland 63 – 75 Northern Iowa

More games on Sat, Nov 14

← Fri, Nov 13 · Sun, Nov 15 → · Full season schedule

The CBB Matchups tab lays out the day's Division I slate: matchup, tip time, records and rank, and — once posted — the market spread and total (the median across books when no market line is up). 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, from our line: the same view our bets are made from.

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