Utah Tech at California
Saturday, November 14, 2026, 5:00 PM ET at Haas Pavilion. Utah Tech our rank 283 · 1-2; California our rank 105 · 2-2.
Who will win Utah Tech vs California?
The model gives California a 93% chance to beat Utah Tech, with a projected score of California 87, Utah Tech 71.
Half of games like thisFour in five
Calls of 90–100% have been right 95.4% of the time in 11,767 past games, and the typical miss on the margin is 8.8 points. After the final, the result is pinned to this strip. As of 2:23 AM ET on November 13, 2026. Updated three times a day until tip-off.
Players to watch
| Player | Pts | Reb | Ast | Last games | Chance of |
|---|---|---|---|---|---|
| California | |||||
| IndrusaitisG · 29 min | 16.2 | 4.2 | 2.4 | 15+ 56% | |
| CooperG · 26 min | 16.0 | 2.6 | 2.1 | 15+ 55% | |
| RossG · 28 min | 10.4 | 3.0 | 4.8 | 10+ 51% | |
| WilkinsF · 24 min | 10.0 | 4.7 | 1.1 | 10+ 48% | |
| Utah Tech | |||||
| PotterF · 26 min | 14.6 | 7.3 | 1.8 | 15+ 46% | |
| GibsonG · 25 min | 14.4 | 3.4 | 1.9 | 15+ 45% | |
| RodriguezG · 24 min | 10.2 | 2.8 | 1.2 | 10+ 50% | |
| Brown Jr.G · 27 min | 9.7 | 2.1 | 2.6 | 10+ 46% | |
Bars: points in the player's latest games this season. Blue line: tonight's projection. Every regular's line
The game without one player
Without Jake Wilkins: Utah Tech 10%California 90%
The white mark is the call with him: California 93%.
| Player | Points a game he adds | California without him | Change | Projected score |
|---|---|---|---|---|
| California | ||||
| Jake Wilkins | 2.0 | 90% | −3 | 72–86 |
| Jordan Ross | 1.6 | 91% | −2 | 72–87 |
| Nojus Indrusaitis | 1.6 | 91% | −2 | 72–87 |
| Michael Cooper | 1.3 | 91% | −2 | 72–87 |
| Utah Tech | ||||
| Ethan Potter | 1.5 | 94% | +1 | 70–88 |
Change is in California's win chance, in points. Scores read Utah Tech, then California. A player's value is what the team is better by with him than with a replacement, from the player ratings.
Model against the line
Your call
All of today's gamesPlay-by-play
Team numbers
Form
Utah Tech 1-2LWL
- Nov 10L 86-118at Utah StateDidn't cover +25.5 · Over 156.5
- Nov 4W 103-52vs Grace University
- Nov 2L 60-100at New Mexico
- Last 3
- 1–2, scoring 83.0 and allowing 90.0
- Against the spread, this season
- 0–1
- Totals, this season
- 1 over, 0 under
The spread and the total are the lines logged with each prediction. Form is what happened; the ratings above already count recent games more.
Offense against defense
| Utah Tech | California | |
|---|---|---|
| Points scored per 100 possessions | 102.6 205th | 109.8 93rd |
| Points allowed per 100 | 114.9 336th | 105.4 120th |
| Possessions a game | 71.5 103rd | 71.2 133rd |
| Shooting (effective field-goal %) | 51.5% 104th | 50.3% 201st |
| Opponents' shooting | 52.4% 309th | 51.0% 218th |
| Turnovers, share of possessions | 17.2% 86th | 17.8% 154th |
| Offensive rebounds, share of misses | 29.3% 317th | 29.2% 319th |
| Free throws per shot | 0.23 321st | 0.22 348th |
The widest gap: California's offense (93rd) against Utah Tech's defense (336th), of 365 teams.
First half
- Projected halftime score
- Utah Tech 33, California 42
- First-half margin
- California by 9.1
- First-half points, both teams
- 74.3
- Projected second half
- Utah Tech 38, California 46
- Second-half points, both teams
- 84.0
- Tied at the half
- 4%
- Utah Tech, first halves so far
- Led 1 of 3 · 41.7 scored, 38.7 allowed
- California, first halves so far
- Led 2 of 4 · 43.2 scored, 39.0 allowed
Our own projection, not a sportsbook's first-half line. On 11,516 past games it had not seen, the halftime leader was right 67.2% of the time and the first-half total was off by 8.1 points on average. This season: 366 of 476 halftime leaders right. Scorecard
Player projections
Utah Tech
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Mark Brown Jr.G | 27 | 9.7 | 2.1 | 2.6 | 1.5 |
| 10+ pts 46% · 2+ reb 56% · 3+ ast 46% | |||||
| Ethan PotterF | 26 | 14.6 | 7.3 | 1.8 | 0.4 |
| 15+ pts 46% · 8+ reb 44% · 2+ ast 50% | |||||
| Owen MackayG | 26 | 7.7 | 2.7 | 2.1 | 1.3 |
| 10+ pts 31% · 3+ reb 47% · 2+ ast 59% | |||||
| Christian GibsonG | 25 | 14.4 | 3.4 | 1.9 | 1.9 |
| 15+ pts 45% · 2+ ast 54% · 2+ threes 51% | |||||
| Aris RodriguezG | 24 | 10.2 | 2.8 | 1.2 | 1.6 |
| 10+ pts 50% · 3+ reb 49% · 2+ threes 43% | |||||
| Preston VandermydeG | 20 | 3.5 | 1.9 | 0.6 | 0.8 |
| 5+ pts 30% · 2+ reb 51% · 1+ threes 52% | |||||
| Aaron BlissNA | 15 | 3.7 | 2.7 | 0.9 | 0.4 |
| 5+ pts 33% · 3+ reb 47% · 1+ threes 29% | |||||
California
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Nojus IndrusaitisG | 29 | 16.2 | 4.2 | 2.4 | 2.5 |
| 15+ pts 56% · 4+ reb 56% · 3+ threes 42% | |||||
| Jordan RossG | 28 | 10.4 | 3.0 | 4.8 | 0.4 |
| 10+ pts 51% · 3+ reb 54% · 5+ ast 51% | |||||
| Michael CooperG | 26 | 16.0 | 2.6 | 2.1 | 2.4 |
| 15+ pts 55% · 3+ reb 46% · 2+ ast 58% | |||||
| Jake WilkinsF | 24 | 10.0 | 4.7 | 1.1 | 1.1 |
| 10+ pts 48% · 5+ reb 48% · 1+ threes 61% | |||||
| Mantas KocanasC | 22 | 5.6 | 4.6 | 0.7 | 0.3 |
| 5+ pts 52% · 5+ reb 46% · 1+ threes 28% | |||||
| Sammie YeanayF | 20 | 9.3 | 4.4 | 1.3 | 1.0 |
| 10+ pts 43% · 5+ reb 44% · 1+ threes 59% | |||||
| Semetri CarrG | 18 | 4.6 | 3.9 | 3.7 | 0.5 |
| 5+ pts 41% · 4+ reb 50% · 4+ ast 48% | |||||
| Jovani RuffG | 16 | 5.9 | 1.9 | 0.9 | 0.4 |
| 5+ pts 54% · 2+ reb 51% · 1+ threes 33% | |||||
Our own projections from each player's minutes and production, this opponent and the game's pace: not a sportsbook's lines. Under each name, the round numbers the player is about as likely as not to reach. How they have done
Win probability
Game chat
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