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WNBA · July 19, 2026
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Los Angeles Sparks at Dallas Wings

LAS 82 – DAL 90

July 19, 2026 · Final

Coach Sarah Watanabe

Best model for this game

Coach Sarah Watanabe
All models: 11-1
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 LAS at DAL

All 12 models’ predicted scores

LAS — one dot per model DAL — one dot per model Actual: LAS 82, DAL 90
Vince Chambers
LAS 83.9–88.4 DAL 84.4–89.3 Overlap 3.93 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–88.1 DAL 84.5–88.7 Overlap 3.58 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–87.8 DAL 84.7–88.3 Overlap 3.03 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–87.5 DAL 84.9–88.2 Overlap 2.57 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.6–87.2 DAL 85.1–87.9 Overlap 2.07 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-3.39
p-value
8.36e-04

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
LAS 83.4–89.1 DAL 84.1–89.8 Overlap 5.0 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.5) over Los Angeles Sparks (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–88.7 DAL 84.4–88.9 Overlap 4.3 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.5) over Los Angeles Sparks (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–88.4 DAL 84.6–88.6 Overlap 3.75 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.5) over Los Angeles Sparks (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–88.1 DAL 84.8–88.5 Overlap 3.32 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.5) over Los Angeles Sparks (avg. 86.3) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.6–87.9 DAL 85.1–88.3 Overlap 2.86 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.5) over Los Angeles Sparks (avg. 86.3) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-1.32
p-value
1.87e-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. Wallace
LAS 83.2–88.4 DAL 84.4–89.2 Overlap 4.01 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.8–87.8 DAL 84.5–88.4 Overlap 3.32 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.4 DAL 84.8–88.0 Overlap 2.53 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.1–86.9 DAL 85.0–87.6 Overlap 1.92 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.4–86.8 DAL 85.0–87.3 Overlap 1.8 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-2.57
p-value
1.08e-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.

Kevin
LAS 83.3–88.5 DAL 84.4–89.6 Overlap 4.12 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–88.1 DAL 84.5–89.1 Overlap 3.58 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–87.8 DAL 84.6–88.6 Overlap 3.21 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–87.6 DAL 84.7–87.9 Overlap 2.87 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.4–87.4 DAL 84.9–87.8 Overlap 2.5 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.3) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
-2.31
p-value
2.19e-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. Lila Shah
LAS 83.3–88.3 DAL 82.5–88.2 Overlap 4.94 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Dallas Wings (avg. 85.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–87.9 DAL 83.0–87.8 Overlap 4.09 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Dallas Wings (avg. 85.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.6 DAL 83.3–87.5 Overlap 3.53 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Dallas Wings (avg. 85.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.1–87.4 DAL 83.5–87.2 Overlap 3.1 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Dallas Wings (avg. 85.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.3–87.3 DAL 83.7–87.0 Overlap 2.74 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Dallas Wings (avg. 85.4) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
2.33
p-value
2.10e-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.

Ice
LAS 83.0–88.3 DAL 83.9–88.6 Overlap 4.44 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.7) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.4–87.9 DAL 84.0–87.9 Overlap 3.85 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.7) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–87.6 DAL 84.3–87.5 Overlap 3.13 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.7) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.4 DAL 84.4–87.4 Overlap 2.99 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.7) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.1–87.2 DAL 84.5–87.3 Overlap 2.74 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.7) over Los Angeles Sparks (avg. 85.7) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
-0.43
p-value
6.64e-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
LAS 83.5–88.2 DAL 83.3–88.7 Overlap 4.71 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.0) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.9 DAL 83.7–88.2 Overlap 3.96 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.0) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–87.6 DAL 84.0–87.9 Overlap 3.46 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.0) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.3–87.4 DAL 84.2–87.7 Overlap 3.08 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.0) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–87.3 DAL 84.4–87.5 Overlap 2.77 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.0) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-0.59
p-value
5.55e-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
LAS 83.2–88.5 DAL 84.2–89.3 Overlap 4.37 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.6–88.1 DAL 84.4–88.8 Overlap 3.72 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.8 DAL 84.6–88.6 Overlap 3.21 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.1–87.6 DAL 84.7–88.2 Overlap 2.88 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.3–87.4 DAL 84.8–87.9 Overlap 2.64 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.2) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-2.19
p-value
2.99e-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
LAS 83.3–88.6 DAL 83.8–89.2 Overlap 4.83 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–88.2 DAL 84.2–88.2 Overlap 3.97 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–87.9 DAL 84.4–88.0 Overlap 3.55 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–87.7 DAL 84.7–87.7 Overlap 3.06 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–87.5 DAL 84.8–87.5 Overlap 2.74 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-0.50
p-value
6.17e-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
LAS 83.4–88.3 DAL 84.5–88.7 Overlap 3.85 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.8–87.9 DAL 84.6–87.9 Overlap 3.31 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–87.7 DAL 84.7–87.7 Overlap 3.02 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–87.5 DAL 84.7–87.5 Overlap 2.77 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.4–87.3 DAL 84.8–87.3 Overlap 2.51 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.8) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-1.31
p-value
1.92e-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
LAS 84.1–88.6 DAL 84.4–89.1 Overlap 4.2 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–88.2 DAL 84.5–88.3 Overlap 3.67 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–88.0 DAL 84.7–87.7 Overlap 3.01 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–87.5 DAL 84.8–87.5 Overlap 2.68 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.7–87.3 DAL 84.9–87.1 Overlap 2.19 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.1) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
-1.15
p-value
2.50e-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
LAS 83.2–88.6 DAL 84.5–89.8 Overlap 4.12 pts Actual: LAS 82, DAL 90

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 86.7) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.6–88.2 DAL 84.8–89.6 Overlap 3.35 pts Actual: LAS 82, DAL 90

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 86.7) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.9 DAL 84.9–89.3 Overlap 2.99 pts Actual: LAS 82, DAL 90

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 86.7) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.1–87.7 DAL 85.0–88.3 Overlap 2.69 pts Actual: LAS 82, DAL 90

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 86.7) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.3–87.5 DAL 85.1–88.0 Overlap 2.43 pts Actual: LAS 82, DAL 90

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 86.7) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-4.00
p-value
9.25e-05

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 — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.9–88.4 84.4–89.3 3.93 pts — No
90% 84.2–88.1 84.5–88.7 3.58 pts — No
85% 84.4–87.8 84.7–88.3 3.03 pts — No
80% 84.4–87.5 84.9–88.2 2.57 pts — No
75% 84.6–87.2 85.1–87.9 2.07 pts — No
Reg — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.4–89.1 84.1–89.8 5.0 pts — No
90% 83.9–88.7 84.4–88.9 4.3 pts — No
85% 84.2–88.4 84.6–88.6 3.75 pts — No
80% 84.4–88.1 84.8–88.5 3.32 pts — No
75% 84.6–87.9 85.1–88.3 2.86 pts — No
Dr. Wallace — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.2–88.4 84.4–89.2 4.01 pts — No
90% 83.8–87.8 84.5–88.4 3.32 pts — No
85% 83.9–87.4 84.8–88.0 2.53 pts — No
80% 84.1–86.9 85.0–87.6 1.92 pts — No
75% 84.4–86.8 85.0–87.3 1.8 pts — No
Kevin — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.3–88.5 84.4–89.6 4.12 pts — No
90% 83.7–88.1 84.5–89.1 3.58 pts — No
85% 84.0–87.8 84.6–88.6 3.21 pts — No
80% 84.2–87.6 84.7–87.9 2.87 pts — No
75% 84.4–87.4 84.9–87.8 2.5 pts — No
Dr. Lila Shah — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.3–88.3 82.5–88.2 4.94 pts — No
90% 83.7–87.9 83.0–87.8 4.09 pts — No
85% 83.9–87.6 83.3–87.5 3.53 pts — No
80% 84.1–87.4 83.5–87.2 3.1 pts — No
75% 84.3–87.3 83.7–87.0 2.74 pts — No
Ice — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.0–88.3 83.9–88.6 4.44 pts — No
90% 83.4–87.9 84.0–87.9 3.85 pts — No
85% 83.7–87.6 84.3–87.5 3.13 pts — No
80% 83.9–87.4 84.4–87.4 2.99 pts — No
75% 84.1–87.2 84.5–87.3 2.74 pts — No
Jamal — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.5–88.2 83.3–88.7 4.71 pts — No
90% 83.9–87.9 83.7–88.2 3.96 pts — No
85% 84.2–87.6 84.0–87.9 3.46 pts — No
80% 84.3–87.4 84.2–87.7 3.08 pts — No
75% 84.5–87.3 84.4–87.5 2.77 pts — No
Jordan — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.2–88.5 84.2–89.3 4.37 pts — No
90% 83.6–88.1 84.4–88.8 3.72 pts — No
85% 83.9–87.8 84.6–88.6 3.21 pts — No
80% 84.1–87.6 84.7–88.2 2.88 pts — No
75% 84.3–87.4 84.8–87.9 2.64 pts — No
Darren "Dimes" Lin — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.3–88.6 83.8–89.2 4.83 pts — No
90% 83.7–88.2 84.2–88.2 3.97 pts — No
85% 84.0–87.9 84.4–88.0 3.55 pts — No
80% 84.2–87.7 84.7–87.7 3.06 pts — No
75% 84.4–87.5 84.8–87.5 2.74 pts — No
Maya Jefferson — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.4–88.3 84.5–88.7 3.85 pts — No
90% 83.8–87.9 84.6–87.9 3.31 pts — No
85% 84.0–87.7 84.7–87.7 3.02 pts — No
80% 84.2–87.5 84.7–87.5 2.77 pts — No
75% 84.4–87.3 84.8–87.3 2.51 pts — No
Lexi — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 84.1–88.6 84.4–89.1 4.2 pts — No
90% 84.4–88.2 84.5–88.3 3.67 pts — No
85% 84.5–88.0 84.7–87.7 3.01 pts — No
80% 84.5–87.5 84.8–87.5 2.68 pts — No
75% 84.7–87.3 84.9–87.1 2.19 pts — No
Coach Sarah Watanabe — LAS at DAL — Actual: LAS 82, DAL 90
Level LAS range DAL range Overlap Tol Warning Actual landed in range?
95% 83.2–88.6 84.5–89.8 4.12 pts — No
90% 83.6–88.2 84.8–89.6 3.35 pts — No
85% 83.9–87.9 84.9–89.3 2.99 pts — No
80% 84.1–87.7 85.0–88.3 2.69 pts — No
75% 84.3–87.5 85.1–88.0 2.43 pts — No