Fine-tune team strengths to model injuries, form, or what-if scenarios
Each run draws new ratings around the real ones. Higher variance means bigger swings.
North Carolina
UCLA
|
97
A+
|
Overall |
99
A+
|
|
97
A+
|
Power |
99
A+
|
|
96
A
6099
|
Offensive |
99
A+
6099
|
|
North Carolina
6099
UCLA
6099
|
||
|
98
A+
6099
|
Defensive |
99
A+
6099
|
|
North Carolina
6099
UCLA
6099
|
||
|
93
A-
|
SoS (Current) |
99
A+
|
|
93
A-
|
SoS (Future) |
99
A+
|
North Carolina
UCLA
| 15 | Overall | 1 |
| 19 | Power | 1 |
| 31 | Offensive | 3 |
| 11 | Defensive | 2 |
| 58 | SoS (Current) | 1 |
| 58 | SoS (Future) | 1 |
Wk 24 (Apr 7), 2025-26: UCLA 96%, North Carolina 4% at UCLA.
UCLA's win probability against North Carolina has held at 90% over the last 6 weeks — this matchup has settled.
UCLA's win probability against North Carolina has held at 94% over the last 6 weeks — this matchup has settled.
UCLA's win probability against North Carolina has held at 96% over the last 6 weeks — this matchup has settled.
| Week | At North Carolina | Neutral | At UCLA |
|---|---|---|---|
| Pre | 64% | 73% | 80% |
| Wk 1 | 60% | 69% | 77% |
| Wk 2 | 54% | 63% | 71% |
| Wk 3 | 53% | 62% | 71% |
| Wk 4 | 61% | 70% | 77% |
| Wk 5 | 60% | 68% | 76% |
| Wk 6 | 74% | 81% | 87% |
| Wk 7 | 78% | 85% | 89% |
| Wk 8 | 85% | 90% | 93% |
| Wk 9 | 89% | 93% | 95% |
| Wk 10 | 90% | 93% | 96% |
| Wk 11 | 90% | 94% | 96% |
| Wk 12 | 92% | 95% | 96% |
| Wk 13 | 93% | 95% | 97% |
| Wk 14 | 92% | 95% | 97% |
| Wk 15 | 92% | 95% | 97% |
| Wk 16 | 91% | 94% | 96% |
| Wk 17 | 91% | 94% | 96% |
| Wk 18 | 90% | 94% | 96% |
| Wk 19 | 89% | 93% | 95% |
| Wk 20 | 90% | 93% | 96% |
| Wk 21 | 90% | 93% | 95% |
| Wk 22 | 89% | 93% | 95% |
| Wk 23 | 89% | 93% | 95% |
| Wk 24 | 90% | 94% | 96% |
North Carolina
UCLA
|
0-1 (0%) |
Head to Head |
1-0 (100%) |
|
28-8 (77.8%) |
Overall |
37-1 (97.4%) |
|
15-2 (88.2%) |
Home |
16-0 (100%) |
|
8-3 (72.7%) |
Away |
9-0 (100%) |
|
2-7 (22.2%) |
Versus Top 25 |
17-1 (94.4%) |
|
15-8 (65.2%) |
Versus > .500 Teams |
30-1 (96.8%) |
|
13-0 (100%) |
Versus < .500 Teams |
7-0 (100%) |
|
7-3 (70%) |
Last 10 Games |
10-0 (100%) |
North Carolina
UCLA
| #9 Duke | Best Win | #2 South Carolina |
| #62 Stanford | Worst Loss | #3 Texas |
| 52 pts vs #197 SMU | Largest MOV | 87 pts vs #352 Cal Poly |
| 23 pts vs #17 Notre Dame | Largest MOD | 11 pts vs #3 Texas |
North Carolina
UCLA
| 74.6 | Points per Game | 83.9 |
| 59.1 | Points Against | 56.4 |
| 78.1 | Home PPG | 91.2 |
| 55.2 | Home PA | 53.3 |
| 71.5 | Away PPG | 80.7 |
| 60.2 | Away PA | 60.8 |
| 710-475 | Opponent Record | 815-443 |
| 113.5 | Avg Opponent Rank | 60.9 |
| W 8 | Longest Streak | W 31 |
| L 1 | Current Streak | W 31 |
North Carolina
UCLA
| Mar 27 | #4 Connecticut (38-1) | L42-63 | Apr 5 | #2 South Carolina (36-4) | W79-51 |
| Mar 22 | vs #19 Maryland (24-9) | W74-66 | Apr 3 | #3 Texas (35-4) | W51-44 |
| Mar 20 | vs W Illinois (23-6) | W82-51 | Mar 29 | #9 Duke (27-9) | W70-58 |
| Mar 7 | #14 Louisville (29-8) | L57-65 | Mar 27 | #16 Minnesota (24-9) | W80-56 |
| Mar 6 | Virginia Tech (23-10) | W85-68 | Mar 23 | vs Oklahoma St (23-10) | W87-68 |
| Mar 1 | vs #9 Duke (27-9) | W74-69 | Mar 21 | vs Cal Baptist (23-11) | W96-43 |
| Feb 26 | at Virginia (22-12) | W82-70 | Mar 8 | #6 Iowa (27-7) | W96-45 |
| Feb 22 | vs Pittsburgh (8-22) | W78-50 | Mar 7 | #11 Ohio St (27-8) | W72-62 |
| Feb 19 | at Virginia Tech (23-10) | W66-63 | Mar 6 | #24 Washington (22-11) | W78-60 |
| Feb 15 | at #9 Duke (27-9) | L68-72 | Mar 1 | at USC (18-14) | W73-50 |
vs
Women's College Basketball