LA Force 0 - 2 California Utd Strikers
17.04.2022 - 02:00
Stadium : Championship Soccer Stadium (Irvine, California)
Finished
Over Under Goals
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |  Chattanooga FC | 25 | 14 | 56% | 46% | 67% |
| 2 |  ASC San Diego | 23 | 13 | 57% | 64% | 50% |
| 3 |  Michigan Stars | 26 | 8 | 31% | 36% | 25% |
| 4 | LA Force | 20 | 9 | 45% | 18% | 78% |
| 5 | California Utd Strikers | 22 | 9 | 41% | 58% | 20% |
| 6 |  Maryland Bobcats | 24 | 11 | 46% | 58% | 33% |
| 7 |  Bay Cities | 12 | 7 | 58% | 75% | 50% |
| 8 |  Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 |  Syracuse Pulse | 23 | 14 | 61% | 55% | 67% |
| 10 |  Flower City Union | 23 | 15 | 65% | 64% | 67% |
| # | Team | MP | Over 0.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 22 | 88% | 85% | 92% |
| 2 | ASC San Diego | 23 | 22 | 96% | 100% | 92% |
| 3 | Michigan Stars | 26 | 20 | 77% | 86% | 67% |
| 4 | LA Force | 20 | 16 | 80% | 64% | 100% |
| 5 | California Utd Strikers | 22 | 20 | 91% | 92% | 90% |
| 6 | Maryland Bobcats | 24 | 23 | 96% | 100% | 92% |
| 7 | Bay Cities | 12 | 10 | 83% | 100% | 75% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 21 | 91% | 82% | 100% |
| 10 | Flower City Union | 23 | 22 | 96% | 100% | 92% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 17 | 68% | 54% | 83% |
| 2 | ASC San Diego | 23 | 18 | 78% | 82% | 75% |
| 3 | Michigan Stars | 26 | 15 | 58% | 57% | 58% |
| 4 | LA Force | 20 | 13 | 65% | 55% | 78% |
| 5 | California Utd Strikers | 22 | 13 | 59% | 83% | 30% |
| 6 | Maryland Bobcats | 24 | 19 | 79% | 83% | 75% |
| 7 | Bay Cities | 12 | 8 | 67% | 75% | 63% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 18 | 78% | 64% | 92% |
| 10 | Flower City Union | 23 | 17 | 74% | 82% | 67% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 6 | 24% | 15% | 33% |
| 2 | ASC San Diego | 23 | 5 | 22% | 18% | 25% |
| 3 | Michigan Stars | 26 | 2 | 8% | 14% | 0% |
| 4 | LA Force | 20 | 5 | 25% | 18% | 33% |
| 5 | California Utd Strikers | 22 | 5 | 23% | 42% | 0% |
| 6 | Maryland Bobcats | 24 | 4 | 17% | 33% | 0% |
| 7 | Bay Cities | 12 | 5 | 42% | 50% | 38% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 7 | 30% | 18% | 42% |
| 10 | Flower City Union | 23 | 9 | 39% | 27% | 50% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 5 | 20% | 15% | 25% |
| 2 | ASC San Diego | 23 | 1 | 4% | 0% | 8% |
| 3 | Michigan Stars | 26 | 1 | 4% | 7% | 0% |
| 4 | LA Force | 20 | 2 | 10% | 0% | 22% |
| 5 | California Utd Strikers | 22 | 3 | 14% | 25% | 0% |
| 6 | Maryland Bobcats | 24 | 3 | 13% | 25% | 0% |
| 7 | Bay Cities | 12 | 3 | 25% | 0% | 38% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 0 | 0% | 0% | 0% |
| 10 | Flower City Union | 23 | 4 | 17% | 18% | 17% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 2 | 8% | 8% | 8% |
| 2 | ASC San Diego | 23 | 1 | 4% | 0% | 8% |
| 3 | Michigan Stars | 26 | 0 | 0% | 0% | 0% |
| 4 | LA Force | 20 | 0 | 0% | 0% | 0% |
| 5 | California Utd Strikers | 22 | 2 | 9% | 17% | 0% |
| 6 | Maryland Bobcats | 24 | 1 | 4% | 8% | 0% |
| 7 | Bay Cities | 12 | 2 | 17% | 0% | 25% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 0 | 0% | 0% | 0% |
| 10 | Flower City Union | 23 | 2 | 9% | 9% | 8% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 11 | 44% | 54% | 33% |
| 2 | ASC San Diego | 23 | 10 | 43% | 36% | 50% |
| 3 | Michigan Stars | 26 | 18 | 69% | 64% | 75% |
| 4 | LA Force | 20 | 11 | 55% | 82% | 22% |
| 5 | California Utd Strikers | 22 | 13 | 59% | 42% | 80% |
| 6 | Maryland Bobcats | 24 | 13 | 54% | 42% | 67% |
| 7 | Bay Cities | 12 | 5 | 42% | 25% | 50% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 9 | 39% | 45% | 33% |
| 10 | Flower City Union | 23 | 8 | 35% | 36% | 33% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 3 | 12% | 15% | 8% |
| 2 | ASC San Diego | 23 | 1 | 4% | 0% | 8% |
| 3 | Michigan Stars | 26 | 6 | 23% | 14% | 33% |
| 4 | LA Force | 20 | 4 | 20% | 36% | 0% |
| 5 | California Utd Strikers | 22 | 2 | 9% | 8% | 10% |
| 6 | Maryland Bobcats | 24 | 1 | 4% | 0% | 8% |
| 7 | Bay Cities | 12 | 2 | 17% | 0% | 25% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 2 | 9% | 18% | 0% |
| 10 | Flower City Union | 23 | 1 | 4% | 0% | 8% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 8 | 32% | 46% | 17% |
| 2 | ASC San Diego | 23 | 5 | 22% | 18% | 25% |
| 3 | Michigan Stars | 26 | 11 | 42% | 43% | 42% |
| 4 | LA Force | 20 | 7 | 35% | 45% | 22% |
| 5 | California Utd Strikers | 22 | 9 | 41% | 17% | 70% |
| 6 | Maryland Bobcats | 24 | 5 | 21% | 17% | 25% |
| 7 | Bay Cities | 12 | 4 | 33% | 25% | 38% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 5 | 22% | 36% | 8% |
| 10 | Flower City Union | 23 | 6 | 26% | 18% | 33% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 19 | 76% | 85% | 67% |
| 2 | ASC San Diego | 23 | 18 | 78% | 82% | 75% |
| 3 | Michigan Stars | 26 | 24 | 92% | 86% | 100% |
| 4 | LA Force | 20 | 15 | 75% | 82% | 67% |
| 5 | California Utd Strikers | 22 | 17 | 77% | 58% | 100% |
| 6 | Maryland Bobcats | 24 | 20 | 83% | 67% | 100% |
| 7 | Bay Cities | 12 | 7 | 58% | 50% | 63% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 16 | 70% | 82% | 58% |
| 10 | Flower City Union | 23 | 14 | 61% | 73% | 50% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 20 | 80% | 85% | 75% |
| 2 | ASC San Diego | 23 | 22 | 96% | 100% | 92% |
| 3 | Michigan Stars | 26 | 25 | 96% | 93% | 100% |
| 4 | LA Force | 20 | 18 | 90% | 100% | 78% |
| 5 | California Utd Strikers | 22 | 19 | 86% | 75% | 100% |
| 6 | Maryland Bobcats | 24 | 21 | 88% | 75% | 100% |
| 7 | Bay Cities | 12 | 9 | 75% | 100% | 63% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 23 | 100% | 100% | 100% |
| 10 | Flower City Union | 23 | 19 | 83% | 82% | 83% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 | Chattanooga FC | 25 | 23 | 92% | 92% | 92% |
| 2 | ASC San Diego | 23 | 22 | 96% | 100% | 92% |
| 3 | Michigan Stars | 26 | 26 | 100% | 100% | 100% |
| 4 | LA Force | 20 | 20 | 100% | 100% | 100% |
| 5 | California Utd Strikers | 22 | 20 | 91% | 83% | 100% |
| 6 | Maryland Bobcats | 24 | 23 | 96% | 92% | 100% |
| 7 | Bay Cities | 12 | 10 | 83% | 100% | 75% |
| 8 | Valley United | 0 | 0 | 0% | 0% | 0% |
| 9 | Syracuse Pulse | 23 | 23 | 100% | 100% | 100% |
| 10 | Flower City Union | 23 | 21 | 91% | 91% | 92% |
You can check out how often LA Force and California Utd Strikers matches in the NISA go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.
Here is an example of what we mean:
65% of LA Force’s matches in the NISA have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 45%.
You can also check how many times the total has gone under. In California Utd Strikers’s case, 41% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 59%.
You can also see whether LA Force and California Utd Strikers matches go over or under a total number of goals when playing at home, away, or overall in NISA.
The over/under goal analysis for LA Force vs California Utd Strikers offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.
However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.