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WNBA · August 30, 2026
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Los Angeles Sparks at Seattle Storm

LAS 90 – SEA 74

August 30, 2026 · Final

Jordan

Best model for this game

Jordan
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 LAS at SEA

All 12 models’ predicted scores

LAS — one dot per model SEA — one dot per model Actual: LAS 90, SEA 74
Vince Chambers
LAS 82.5–87.1 SEA 83.6–89.0 Overlap 3.55 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Seattle Storm (avg. 86.3) over Los Angeles Sparks (avg. 84.8) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

LAS 82.8–86.7 SEA 84.0–88.5 Overlap 2.74 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Seattle Storm (avg. 86.3) over Los Angeles Sparks (avg. 84.8) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

LAS 83.1–86.5 SEA 84.3–88.2 Overlap 2.22 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Seattle Storm (avg. 86.3) over Los Angeles Sparks (avg. 84.8) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

LAS 83.3–86.3 SEA 84.5–88.0 Overlap 1.81 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Seattle Storm (avg. 86.3) over Los Angeles Sparks (avg. 84.8) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

LAS 83.4–86.2 SEA 84.7–87.9 Overlap 1.48 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Seattle Storm (avg. 86.3) over Los Angeles Sparks (avg. 84.8) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-11.10
p-value
3.56e-24

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 82.3–87.7 SEA 80.5–89.3 Overlap 5.36 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Seattle Storm (avg. 85.9) over Los Angeles Sparks (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 82.8–87.2 SEA 82.0–88.6 Overlap 4.5 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Seattle Storm (avg. 85.9) over Los Angeles Sparks (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.0–87.0 SEA 83.4–88.3 Overlap 3.6 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Seattle Storm (avg. 85.9) over Los Angeles Sparks (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–86.8 SEA 84.0–87.9 Overlap 2.77 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Seattle Storm (avg. 85.9) over Los Angeles Sparks (avg. 85.0) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 83.4–86.6 SEA 84.3–87.6 Overlap 2.24 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Seattle Storm (avg. 85.9) over Los Angeles Sparks (avg. 85.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-4.60
p-value
6.60e-06

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 82.9–87.5 SEA 79.8–88.5 Overlap 4.65 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Seattle Storm (avg. 85.2) over Los Angeles Sparks (avg. 84.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.1–87.1 SEA 80.3–88.0 Overlap 4.03 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Seattle Storm (avg. 85.2) over Los Angeles Sparks (avg. 84.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–86.7 SEA 80.6–87.6 Overlap 3.52 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Seattle Storm (avg. 85.2) over Los Angeles Sparks (avg. 84.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–86.6 SEA 81.7–87.4 Overlap 3.27 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Seattle Storm (avg. 85.2) over Los Angeles Sparks (avg. 84.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.5–86.5 SEA 82.0–87.3 Overlap 2.99 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Seattle Storm (avg. 85.2) over Los Angeles Sparks (avg. 84.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-1.27
p-value
2.06e-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
LAS 82.8–88.0 SEA 78.9–88.3 Overlap 5.25 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.2) over Seattle Storm (avg. 84.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.1–87.3 SEA 79.6–88.0 Overlap 4.16 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.2) over Seattle Storm (avg. 84.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–87.1 SEA 80.1–87.6 Overlap 3.82 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.2) over Seattle Storm (avg. 84.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.6–86.9 SEA 80.4–87.5 Overlap 3.31 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.2) over Seattle Storm (avg. 84.6) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.8–86.6 SEA 80.6–87.4 Overlap 2.8 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.2) over Seattle Storm (avg. 84.6) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
2.46
p-value
1.48e-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 82.5–88.3 SEA 78.7–87.2 Overlap 4.65 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.1) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.0–87.9 SEA 79.1–86.6 Overlap 3.63 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.1) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–87.6 SEA 79.3–86.4 Overlap 3.08 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.1) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.5–87.3 SEA 79.6–86.2 Overlap 2.73 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.1) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

LAS 83.7–87.1 SEA 79.9–86.0 Overlap 2.31 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.1) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
10.26
p-value
1.18e-20

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 82.9–88.8 SEA 78.5–88.9 Overlap 5.94 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.7) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.4–88.3 SEA 79.3–88.1 Overlap 4.71 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.7) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–88.0 SEA 79.9–87.5 Overlap 3.86 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.7) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.8 SEA 80.3–87.1 Overlap 3.2 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.7) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.1–87.6 SEA 80.6–86.8 Overlap 2.65 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.7) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
9.64
p-value
8.39e-19

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 83.2–88.3 SEA 79.2–88.2 Overlap 4.95 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.1) — by 2.6 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–87.9 SEA 79.6–87.3 Overlap 3.65 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.1) — by 2.6 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.6 SEA 80.0–86.8 Overlap 2.9 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.1) — by 2.6 points. The ranges overlap some — there's real uncertainty here.

LAS 84.1–87.4 SEA 80.3–86.6 Overlap 2.46 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.1) — by 2.6 points. The ranges overlap some — there's real uncertainty here.

LAS 84.3–87.2 SEA 80.7–86.3 Overlap 2.04 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.8) over Seattle Storm (avg. 83.1) — by 2.6 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
12.18
p-value
2.11e-26

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 83.3–88.5 SEA 79.3–87.4 Overlap 4.07 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.9) over Seattle Storm (avg. 82.7) — by 3.1 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–88.0 SEA 79.6–86.4 Overlap 2.75 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.9) over Seattle Storm (avg. 82.7) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

LAS 84.0–87.8 SEA 79.9–86.0 Overlap 2.0 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.9) over Seattle Storm (avg. 82.7) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

LAS 84.2–87.6 SEA 80.2–85.6 Overlap 1.46 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.9) over Seattle Storm (avg. 82.7) — by 3.1 points. The ranges overlap some — there's real uncertainty here.

LAS 84.3–87.4 SEA 80.5–85.2 Overlap 0.85 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.9) over Seattle Storm (avg. 82.7) — by 3.1 points. The ranges barely touch.

Show the math
Model
Jordan (#8)
t-statistic
16.53
p-value
7.52e-42

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 83.2–88.5 SEA 79.2–87.1 Overlap 3.89 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 82.8) — by 2.9 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.7 SEA 79.7–86.5 Overlap 2.64 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 82.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

LAS 84.0–87.0 SEA 80.2–86.2 Overlap 2.13 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 82.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

LAS 84.2–86.7 SEA 80.4–86.0 Overlap 1.79 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 82.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

LAS 84.4–86.6 SEA 80.7–85.5 Overlap 1.18 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 82.8) — by 2.9 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
14.64
p-value
3.87e-35

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 83.4–87.4 SEA 79.7–88.0 Overlap 3.96 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 83.1) — by 2.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–87.3 SEA 80.1–87.5 Overlap 3.52 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 83.1) — by 2.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.2 SEA 80.5–87.2 Overlap 3.26 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 83.1) — by 2.4 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–87.0 SEA 80.7–86.6 Overlap 2.59 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 83.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

LAS 84.1–86.8 SEA 80.8–86.4 Overlap 2.38 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.6) over Seattle Storm (avg. 83.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
11.56
p-value
1.32e-24

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 82.8–88.0 SEA 80.2–87.7 Overlap 4.88 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.8) — by 1.6 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.2–87.6 SEA 80.5–87.4 Overlap 4.23 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.8) — by 1.6 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.5–87.3 SEA 80.8–87.2 Overlap 3.68 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.8) — by 1.6 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.7–87.1 SEA 80.9–87.0 Overlap 3.27 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.8) — by 1.6 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–86.9 SEA 81.2–86.5 Overlap 2.59 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.4) over Seattle Storm (avg. 83.8) — by 1.6 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
7.65
p-value
5.18e-13

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 82.0–88.1 SEA 81.3–89.5 Overlap 6.12 pts Actual: LAS 90, SEA 74

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.1) over Seattle Storm (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 82.5–87.7 SEA 81.4–88.3 Overlap 5.14 pts Actual: LAS 90, SEA 74

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.1) over Seattle Storm (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 82.8–87.3 SEA 81.6–87.9 Overlap 4.5 pts Actual: LAS 90, SEA 74

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.1) over Seattle Storm (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.1–87.1 SEA 81.8–87.8 Overlap 4.0 pts Actual: LAS 90, SEA 74

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.1) over Seattle Storm (avg. 85.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.3–86.9 SEA 82.0–87.6 Overlap 3.59 pts Actual: LAS 90, SEA 74

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 85.1) over Seattle Storm (avg. 85.0) — 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
0.52
p-value
6.03e-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 — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.5–87.1 83.6–89.0 3.55 pts — No
90% 82.8–86.7 84.0–88.5 2.74 pts — No
85% 83.1–86.5 84.3–88.2 2.22 pts — No
80% 83.3–86.3 84.5–88.0 1.81 pts — No
75% 83.4–86.2 84.7–87.9 1.48 pts — No
Reg — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.3–87.7 80.5–89.3 5.36 pts — No
90% 82.8–87.2 82.0–88.6 4.5 pts — No
85% 83.0–87.0 83.4–88.3 3.6 pts — No
80% 83.2–86.8 84.0–87.9 2.77 pts — No
75% 83.4–86.6 84.3–87.6 2.24 pts — No
Dr. Wallace — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.9–87.5 79.8–88.5 4.65 pts — No
90% 83.1–87.1 80.3–88.0 4.03 pts — No
85% 83.2–86.7 80.6–87.6 3.52 pts — No
80% 83.3–86.6 81.7–87.4 3.27 pts — No
75% 83.5–86.5 82.0–87.3 2.99 pts — No
Kevin — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.8–88.0 78.9–88.3 5.25 pts — No
90% 83.1–87.3 79.6–88.0 4.16 pts — No
85% 83.3–87.1 80.1–87.6 3.82 pts — No
80% 83.6–86.9 80.4–87.5 3.31 pts — No
75% 83.8–86.6 80.6–87.4 2.8 pts — No
Dr. Lila Shah — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.5–88.3 78.7–87.2 4.65 pts — No
90% 83.0–87.9 79.1–86.6 3.63 pts — No
85% 83.3–87.6 79.3–86.4 3.08 pts — No
80% 83.5–87.3 79.6–86.2 2.73 pts — No
75% 83.7–87.1 79.9–86.0 2.31 pts — No
Ice — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.9–88.8 78.5–88.9 5.94 pts — No
90% 83.4–88.3 79.3–88.1 4.71 pts — No
85% 83.7–88.0 79.9–87.5 3.86 pts — No
80% 83.9–87.8 80.3–87.1 3.2 pts — No
75% 84.1–87.6 80.6–86.8 2.65 pts — No
Jamal — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 83.2–88.3 79.2–88.2 4.95 pts — No
90% 83.7–87.9 79.6–87.3 3.65 pts — No
85% 83.9–87.6 80.0–86.8 2.9 pts — No
80% 84.1–87.4 80.3–86.6 2.46 pts — No
75% 84.3–87.2 80.7–86.3 2.04 pts — No
Jordan — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 83.3–88.5 79.3–87.4 4.07 pts — No
90% 83.7–88.0 79.6–86.4 2.75 pts — No
85% 84.0–87.8 79.9–86.0 2.0 pts — No
80% 84.2–87.6 80.2–85.6 1.46 pts — No
75% 84.3–87.4 80.5–85.2 0.85 pts — No
Darren "Dimes" Lin — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 83.2–88.5 79.2–87.1 3.89 pts — No
90% 83.9–87.7 79.7–86.5 2.64 pts — No
85% 84.0–87.0 80.2–86.2 2.13 pts — No
80% 84.2–86.7 80.4–86.0 1.79 pts — No
75% 84.4–86.6 80.7–85.5 1.18 pts — No
Maya Jefferson — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 83.4–87.4 79.7–88.0 3.96 pts — No
90% 83.7–87.3 80.1–87.5 3.52 pts — No
85% 83.9–87.2 80.5–87.2 3.26 pts — No
80% 84.0–87.0 80.7–86.6 2.59 pts — No
75% 84.1–86.8 80.8–86.4 2.38 pts — No
Lexi — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.8–88.0 80.2–87.7 4.88 pts — No
90% 83.2–87.6 80.5–87.4 4.23 pts — No
85% 83.5–87.3 80.8–87.2 3.68 pts — No
80% 83.7–87.1 80.9–87.0 3.27 pts — No
75% 83.9–86.9 81.2–86.5 2.59 pts — No
Coach Sarah Watanabe — LAS at SEA — Actual: LAS 90, SEA 74
Level LAS range SEA range Overlap Tol Warning Actual landed in range?
95% 82.0–88.1 81.3–89.5 6.12 pts — No
90% 82.5–87.7 81.4–88.3 5.14 pts — No
85% 82.8–87.3 81.6–87.9 4.5 pts — No
80% 83.1–87.1 81.8–87.8 4.0 pts — No
75% 83.3–86.9 82.0–87.6 3.59 pts — No