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Dallas Wings at Seattle Storm

DAL 112 – SEA 110

June 22, 2026 · Final

Dr. Lila Shah

Best model for this game

Dr. Lila Shah
All models: 12-0
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 SEA

All 12 models’ predicted scores

DAL — one dot per model SEA — one dot per model Actual: DAL 112, SEA 110
Vince Chambers
DAL 82.8–87.4 SEA 77.4–81.4 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.4) — by 5.7 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.1–87.0 SEA 77.7–81.0 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.4) — by 5.7 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.4–86.8 SEA 77.9–80.8 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.4) — by 5.7 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.6–86.6 SEA 78.1–80.7 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.4) — by 5.7 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.7–86.4 SEA 78.2–80.5 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.4) — by 5.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
38.14
p-value
7.71e-80

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 82.4–87.8 SEA 76.9–81.6 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.2) — by 5.9 points. The 95% ranges don't overlap at all — a confident model.

DAL 82.9–87.4 SEA 77.3–81.2 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.2) — by 5.9 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.1–87.1 SEA 77.5–81.0 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.2) — by 5.9 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.4–86.9 SEA 77.7–80.8 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.2) — by 5.9 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.5–86.7 SEA 77.9–80.6 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.1) over Seattle Storm (avg. 79.2) — by 5.9 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
33.28
p-value
5.15e-72

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 82.8–86.9 SEA 77.3–81.6 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.5) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.1–86.5 SEA 77.6–81.3 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.5) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.4–86.3 SEA 77.8–81.1 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.5) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.5–86.2 SEA 78.0–80.9 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.5) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.6–86.0 SEA 78.2–80.7 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.5) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
36.49
p-value
5.60e-78

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 82.9–86.8 SEA 77.1–81.4 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.2–86.5 SEA 77.5–81.1 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.5–86.3 SEA 77.7–80.9 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.6–86.1 SEA 77.9–80.7 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.7–86.0 SEA 78.0–80.5 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
39.12
p-value
4.88e-82

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
DAL 82.2–86.8 SEA 77.4–81.4 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Seattle Storm (avg. 79.4) — by 5.1 points. The 95% ranges don't overlap at all — a confident model.

DAL 82.6–86.4 SEA 77.8–81.1 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Seattle Storm (avg. 79.4) — by 5.1 points. The 90% ranges don't overlap at all — a confident model.

DAL 82.8–86.2 SEA 78.0–80.9 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Seattle Storm (avg. 79.4) — by 5.1 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.0–86.0 SEA 78.1–80.8 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Seattle Storm (avg. 79.4) — by 5.1 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.2–85.9 SEA 78.3–80.6 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.5) over Seattle Storm (avg. 79.4) — by 5.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
33.52
p-value
2.38e-72

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 Tol Warning
DAL 82.4–87.0 SEA 77.3–80.9 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

DAL 82.8–86.6 SEA 77.6–80.6 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.0–86.4 SEA 77.7–80.5 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.2–86.2 SEA 78.2–80.4 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.3–86.0 SEA 78.3–80.4 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
33.10
p-value
2.33e-72

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 82.5–87.2 SEA 77.3–81.4 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.5 points. The 95% ranges don't overlap at all — a confident model.

DAL 82.9–86.8 SEA 77.6–81.1 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.5 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.1–86.6 SEA 77.8–80.8 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.5 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.3–86.4 SEA 78.0–80.7 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.5 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.5–86.2 SEA 78.1–80.5 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
35.68
p-value
4.14e-76

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
DAL 82.6–86.9 SEA 77.2–81.4 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.0–86.5 SEA 77.5–81.1 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.2–86.3 SEA 77.8–80.9 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.4–86.1 SEA 77.9–80.7 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.5–86.0 SEA 78.1–80.5 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.8) over Seattle Storm (avg. 79.3) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
36.83
p-value
7.74e-79

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 82.1–87.4 SEA 77.8–81.3 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

DAL 82.5–87.0 SEA 77.9–80.9 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

DAL 82.8–86.7 SEA 78.2–80.6 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.0–86.5 SEA 78.3–80.4 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.1–86.3 SEA 78.4–80.2 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.7) over Seattle Storm (avg. 79.3) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
31.38
p-value
8.10e-68

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 82.7–87.4 SEA 76.9–81.5 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.0) over Seattle Storm (avg. 79.2) — by 5.8 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.0–87.0 SEA 77.2–81.2 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.0) over Seattle Storm (avg. 79.2) — by 5.8 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.3–86.7 SEA 77.5–80.9 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.0) over Seattle Storm (avg. 79.2) — by 5.8 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.5–86.5 SEA 77.7–80.7 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.0) over Seattle Storm (avg. 79.2) — by 5.8 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.6–86.4 SEA 77.8–80.6 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.0) over Seattle Storm (avg. 79.2) — by 5.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
35.50
p-value
1.25e-76

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 Tol Warning
DAL 82.7–87.2 SEA 78.1–81.1 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.0–86.8 SEA 78.2–81.0 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.3–86.6 SEA 78.3–80.7 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.4–86.4 SEA 78.3–80.5 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 80% ranges don't overlap at all — a confident model.

DAL 83.6–86.3 SEA 78.5–80.4 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 84.9) over Seattle Storm (avg. 79.3) — by 5.6 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
36.75
p-value
1.78e-78

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 Tol Warning
DAL 83.1–89.2 SEA 76.6–80.5 No overlap Actual: DAL 112, SEA 110

In 95 out of 100 simulated runs, leans Dallas Wings (avg. 85.6) over Seattle Storm (avg. 78.5) — by 7.0 points. The 95% ranges don't overlap at all — a confident model.

DAL 83.7–88.3 SEA 76.9–80.2 No overlap Actual: DAL 112, SEA 110

In 90 out of 100 simulated runs, leans Dallas Wings (avg. 85.6) over Seattle Storm (avg. 78.5) — by 7.0 points. The 90% ranges don't overlap at all — a confident model.

DAL 83.9–87.6 SEA 77.1–80.0 No overlap Actual: DAL 112, SEA 110

In 85 out of 100 simulated runs, leans Dallas Wings (avg. 85.6) over Seattle Storm (avg. 78.5) — by 7.0 points. The 85% ranges don't overlap at all — a confident model.

DAL 83.9–87.3 SEA 77.3–79.8 No overlap Actual: DAL 112, SEA 110

In 80 out of 100 simulated runs, leans Dallas Wings (avg. 85.6) over Seattle Storm (avg. 78.5) — by 7.0 points. The 80% ranges don't overlap at all — a confident model.

DAL 84.1–87.0 SEA 77.4–79.7 No overlap Actual: DAL 112, SEA 110

In 75 out of 100 simulated runs, leans Dallas Wings (avg. 85.6) over Seattle Storm (avg. 78.5) — by 7.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
37.31
p-value
2.87e-70

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 SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.8–87.4 77.4–81.4 — pts — No
90% 83.1–87.0 77.7–81.0 — pts — No
85% 83.4–86.8 77.9–80.8 — pts — No
80% 83.6–86.6 78.1–80.7 — pts — No
75% 83.7–86.4 78.2–80.5 — pts — No
Reg — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.4–87.8 76.9–81.6 — pts — No
90% 82.9–87.4 77.3–81.2 — pts — No
85% 83.1–87.1 77.5–81.0 — pts — No
80% 83.4–86.9 77.7–80.8 — pts — No
75% 83.5–86.7 77.9–80.6 — pts — No
Dr. Wallace — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.8–86.9 77.3–81.6 — pts — No
90% 83.1–86.5 77.6–81.3 — pts — No
85% 83.4–86.3 77.8–81.1 — pts — No
80% 83.5–86.2 78.0–80.9 — pts — No
75% 83.6–86.0 78.2–80.7 — pts — No
Kevin — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.9–86.8 77.1–81.4 — pts — No
90% 83.2–86.5 77.5–81.1 — pts — No
85% 83.5–86.3 77.7–80.9 — pts — No
80% 83.6–86.1 77.9–80.7 — pts — No
75% 83.7–86.0 78.0–80.5 — pts — No
Dr. Lila Shah — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.2–86.8 77.4–81.4 — pts — No
90% 82.6–86.4 77.8–81.1 — pts — No
85% 82.8–86.2 78.0–80.9 — pts — No
80% 83.0–86.0 78.1–80.8 — pts — No
75% 83.2–85.9 78.3–80.6 — pts — No
Ice — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.4–87.0 77.3–80.9 — pts Yes No
90% 82.8–86.6 77.6–80.6 — pts Yes No
85% 83.0–86.4 77.7–80.5 — pts Yes No
80% 83.2–86.2 78.2–80.4 — pts Yes No
75% 83.3–86.0 78.3–80.4 — pts Yes No
Jamal — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.5–87.2 77.3–81.4 — pts — No
90% 82.9–86.8 77.6–81.1 — pts — No
85% 83.1–86.6 77.8–80.8 — pts — No
80% 83.3–86.4 78.0–80.7 — pts — No
75% 83.5–86.2 78.1–80.5 — pts — No
Jordan — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.6–86.9 77.2–81.4 — pts — No
90% 83.0–86.5 77.5–81.1 — pts — No
85% 83.2–86.3 77.8–80.9 — pts — No
80% 83.4–86.1 77.9–80.7 — pts — No
75% 83.5–86.0 78.1–80.5 — pts — No
Darren "Dimes" Lin — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.1–87.4 77.8–81.3 — pts Yes No
90% 82.5–87.0 77.9–80.9 — pts Yes No
85% 82.8–86.7 78.2–80.6 — pts Yes No
80% 83.0–86.5 78.3–80.4 — pts Yes No
75% 83.1–86.3 78.4–80.2 — pts Yes No
Maya Jefferson — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.7–87.4 76.9–81.5 — pts — No
90% 83.0–87.0 77.2–81.2 — pts — No
85% 83.3–86.7 77.5–80.9 — pts — No
80% 83.5–86.5 77.7–80.7 — pts — No
75% 83.6–86.4 77.8–80.6 — pts — No
Lexi — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 82.7–87.2 78.1–81.1 — pts Yes No
90% 83.0–86.8 78.2–81.0 — pts Yes No
85% 83.3–86.6 78.3–80.7 — pts Yes No
80% 83.4–86.4 78.3–80.5 — pts Yes No
75% 83.6–86.3 78.5–80.4 — pts Yes No
Coach Sarah Watanabe — DAL at SEA — Actual: DAL 112, SEA 110
Level DAL range SEA range Overlap Tol Warning Actual landed in range?
95% 83.1–89.2 76.6–80.5 — pts Yes No
90% 83.7–88.3 76.9–80.2 — pts Yes No
85% 83.9–87.6 77.1–80.0 — pts Yes No
80% 83.9–87.3 77.3–79.8 — pts Yes No
75% 84.1–87.0 77.4–79.7 — pts Yes No