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Dallas Wings at Los Angeles Sparks

DAL 104 – LAS 96

June 5, 2026 · Final

Reg

Best model for this game

Reg
All models: 9-3
Prediction ranges

In 95 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 90 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 85 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 80 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 75 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

Confidence level for DAL at LAS

All 12 models’ predicted scores

DAL — one dot per model LAS — one dot per model Actual: DAL 104, LAS 96
Vince Chambers
DAL 81.6–86.1 LAS 81.2–86.1 Overlap 4.43 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–85.7 LAS 81.6–85.7 Overlap 3.68 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.2–85.5 LAS 81.8–85.4 Overlap 3.19 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.4–85.3 LAS 82.0–85.2 Overlap 2.81 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.6–85.2 LAS 82.2–85.0 Overlap 2.5 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
1.60
p-value
1.12e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Reg
DAL 81.6–86.9 LAS 81.0–86.5 Overlap 4.95 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.2) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–86.5 LAS 81.5–86.1 Overlap 4.08 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.2) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.3–86.2 LAS 81.7–85.8 Overlap 3.51 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.2) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.5–86.0 LAS 82.0–85.6 Overlap 3.08 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.2) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.7–85.8 LAS 82.2–85.4 Overlap 2.71 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.2) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
2.53
p-value
1.24e-02

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Wallace
DAL 81.4–86.2 LAS 80.9–86.3 Overlap 4.8 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.8–85.8 LAS 81.4–85.9 Overlap 4.03 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–85.6 LAS 81.7–85.6 Overlap 3.53 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.2–85.4 LAS 81.9–85.4 Overlap 3.14 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.4–85.2 LAS 82.1–85.2 Overlap 2.82 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
0.98
p-value
3.29e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Kevin
DAL 81.5–86.4 LAS 81.1–86.5 Overlap 4.88 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.9–86.0 LAS 81.5–86.0 Overlap 4.09 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.2–85.8 LAS 81.8–85.8 Overlap 3.57 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.4–85.6 LAS 82.0–85.5 Overlap 3.15 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.6–85.4 LAS 82.2–85.4 Overlap 2.81 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
1.15
p-value
2.53e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Lila Shah Tol Warning
DAL 81.0–85.3 LAS 81.1–85.3 Overlap 4.19 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Dallas Wings (avg. 83.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.4–85.0 LAS 81.3–84.9 Overlap 3.49 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Dallas Wings (avg. 83.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.6–84.7 LAS 81.6–84.7 Overlap 3.11 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Dallas Wings (avg. 83.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.8–84.6 LAS 81.7–84.6 Overlap 2.8 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Dallas Wings (avg. 83.2) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 81.9–84.4 LAS 81.9–84.5 Overlap 2.5 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.3) over Dallas Wings (avg. 83.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-0.88
p-value
3.79e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Ice
DAL 81.7–86.2 LAS 81.2–86.4 Overlap 4.5 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.1–85.8 LAS 81.6–86.0 Overlap 3.78 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.3–85.6 LAS 81.9–85.7 Overlap 3.31 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.5–85.4 LAS 82.1–85.5 Overlap 2.94 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.6–85.3 LAS 82.3–85.3 Overlap 2.64 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
1.06
p-value
2.90e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jamal
DAL 81.4–86.2 LAS 81.3–86.4 Overlap 4.8 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Dallas Wings (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.8–85.8 LAS 81.7–86.0 Overlap 4.03 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Dallas Wings (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–85.5 LAS 82.0–85.8 Overlap 3.53 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Dallas Wings (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.2–85.3 LAS 82.2–85.6 Overlap 3.13 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Dallas Wings (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.4–85.2 LAS 82.4–85.4 Overlap 2.8 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 83.9) over Dallas Wings (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-0.68
p-value
4.98e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jordan Tol Warning
DAL 82.3–86.5 LAS 81.8–85.3 Overlap 3.06 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.4–85.9 LAS 82.1–85.2 Overlap 2.84 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.5–85.8 LAS 82.2–84.9 Overlap 2.41 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.5–85.6 LAS 82.4–84.8 Overlap 2.24 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.6–85.3 LAS 82.5–84.7 Overlap 2.06 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
2.36
p-value
1.92e-02

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Darren "Dimes" Lin Tol Warning
DAL 81.4–86.1 LAS 81.3–86.1 Overlap 4.78 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 81.8–85.8 LAS 81.7–85.7 Overlap 3.92 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–85.5 LAS 82.0–85.6 Overlap 3.51 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.2–85.3 LAS 82.2–85.2 Overlap 2.96 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.4–85.2 LAS 82.4–84.6 Overlap 2.14 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 83.8) over Los Angeles Sparks (avg. 83.6) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
0.88
p-value
3.80e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Maya Jefferson
DAL 81.6–86.2 LAS 81.5–86.2 Overlap 4.62 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–85.9 LAS 81.9–85.8 Overlap 3.87 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.2–85.6 LAS 82.1–85.6 Overlap 3.38 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.4–85.4 LAS 82.3–85.4 Overlap 3.0 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.5–85.3 LAS 82.5–85.2 Overlap 2.69 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 83.9) over Los Angeles Sparks (avg. 83.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
0.37
p-value
7.14e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Lexi
DAL 82.0–86.0 LAS 81.2–86.4 Overlap 3.99 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.3–85.6 LAS 81.6–85.9 Overlap 3.35 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.5–85.4 LAS 81.9–85.7 Overlap 2.93 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.7–85.3 LAS 82.1–85.5 Overlap 2.61 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

DAL 82.8–85.1 LAS 82.3–85.3 Overlap 2.34 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.0) over Los Angeles Sparks (avg. 83.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
1.07
p-value
2.86e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Coach Sarah Watanabe
DAL 81.6–86.8 LAS 81.5–87.1 Overlap 5.16 pts Actual: DAL 104, LAS 96

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.3) over Dallas Wings (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.0–86.3 LAS 81.9–86.6 Overlap 4.33 pts Actual: DAL 104, LAS 96

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.3) over Dallas Wings (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.3–86.1 LAS 82.2–86.3 Overlap 3.79 pts Actual: DAL 104, LAS 96

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.3) over Dallas Wings (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.5–85.9 LAS 82.5–86.1 Overlap 3.38 pts Actual: DAL 104, LAS 96

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.3) over Dallas Wings (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

DAL 82.7–85.7 LAS 82.7–85.9 Overlap 3.03 pts Actual: DAL 104, LAS 96

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 84.3) over Dallas Wings (avg. 84.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-0.62
p-value
5.39e-01

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

View as table
Vince Chambers — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.6–86.1 81.2–86.1 4.43 pts — No
90% 82.0–85.7 81.6–85.7 3.68 pts — No
85% 82.2–85.5 81.8–85.4 3.19 pts — No
80% 82.4–85.3 82.0–85.2 2.81 pts — No
75% 82.6–85.2 82.2–85.0 2.5 pts — No
Reg — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.6–86.9 81.0–86.5 4.95 pts — No
90% 82.0–86.5 81.5–86.1 4.08 pts — No
85% 82.3–86.2 81.7–85.8 3.51 pts — No
80% 82.5–86.0 82.0–85.6 3.08 pts — No
75% 82.7–85.8 82.2–85.4 2.71 pts — No
Dr. Wallace — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.4–86.2 80.9–86.3 4.8 pts — No
90% 81.8–85.8 81.4–85.9 4.03 pts — No
85% 82.0–85.6 81.7–85.6 3.53 pts — No
80% 82.2–85.4 81.9–85.4 3.14 pts — No
75% 82.4–85.2 82.1–85.2 2.82 pts — No
Kevin — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.5–86.4 81.1–86.5 4.88 pts — No
90% 81.9–86.0 81.5–86.0 4.09 pts — No
85% 82.2–85.8 81.8–85.8 3.57 pts — No
80% 82.4–85.6 82.0–85.5 3.15 pts — No
75% 82.6–85.4 82.2–85.4 2.81 pts — No
Dr. Lila Shah — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.0–85.3 81.1–85.3 4.19 pts Yes No
90% 81.4–85.0 81.3–84.9 3.49 pts Yes No
85% 81.6–84.7 81.6–84.7 3.11 pts Yes No
80% 81.8–84.6 81.7–84.6 2.8 pts Yes No
75% 81.9–84.4 81.9–84.5 2.5 pts Yes No
Ice — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.7–86.2 81.2–86.4 4.5 pts — No
90% 82.1–85.8 81.6–86.0 3.78 pts — No
85% 82.3–85.6 81.9–85.7 3.31 pts — No
80% 82.5–85.4 82.1–85.5 2.94 pts — No
75% 82.6–85.3 82.3–85.3 2.64 pts — No
Jamal — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.4–86.2 81.3–86.4 4.8 pts — No
90% 81.8–85.8 81.7–86.0 4.03 pts — No
85% 82.0–85.5 82.0–85.8 3.53 pts — No
80% 82.2–85.3 82.2–85.6 3.13 pts — No
75% 82.4–85.2 82.4–85.4 2.8 pts — No
Jordan — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 82.3–86.5 81.8–85.3 3.06 pts Yes No
90% 82.4–85.9 82.1–85.2 2.84 pts Yes No
85% 82.5–85.8 82.2–84.9 2.41 pts Yes No
80% 82.5–85.6 82.4–84.8 2.24 pts Yes No
75% 82.6–85.3 82.5–84.7 2.06 pts Yes No
Darren "Dimes" Lin — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.4–86.1 81.3–86.1 4.78 pts Yes No
90% 81.8–85.8 81.7–85.7 3.92 pts Yes No
85% 82.0–85.5 82.0–85.6 3.51 pts Yes No
80% 82.2–85.3 82.2–85.2 2.96 pts Yes No
75% 82.4–85.2 82.4–84.6 2.14 pts Yes No
Maya Jefferson — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.6–86.2 81.5–86.2 4.62 pts — No
90% 82.0–85.9 81.9–85.8 3.87 pts — No
85% 82.2–85.6 82.1–85.6 3.38 pts — No
80% 82.4–85.4 82.3–85.4 3.0 pts — No
75% 82.5–85.3 82.5–85.2 2.69 pts — No
Lexi — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 82.0–86.0 81.2–86.4 3.99 pts — No
90% 82.3–85.6 81.6–85.9 3.35 pts — No
85% 82.5–85.4 81.9–85.7 2.93 pts — No
80% 82.7–85.3 82.1–85.5 2.61 pts — No
75% 82.8–85.1 82.3–85.3 2.34 pts — No
Coach Sarah Watanabe — DAL at LAS — Actual: DAL 104, LAS 96
Level DAL range LAS range Overlap Tol Warning Actual landed in range?
95% 81.6–86.8 81.5–87.1 5.16 pts — No
90% 82.0–86.3 81.9–86.6 4.33 pts — No
85% 82.3–86.1 82.2–86.3 3.79 pts — No
80% 82.5–85.9 82.5–86.1 3.38 pts — No
75% 82.7–85.7 82.7–85.9 3.03 pts — No