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Seattle Storm at Las Vegas Aces

SEA 91 – LVA 101

June 8, 2026 · Final

Coach Sarah Watanabe

Best model for this game

Coach Sarah Watanabe
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 SEA at LVA

All 12 models’ predicted scores

SEA — one dot per model LVA — one dot per model Actual: SEA 91, LVA 101
Vince Chambers
SEA 78.6–82.9 LVA 85.0–89.6 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.0–82.6 LVA 85.4–89.2 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.2–82.3 LVA 85.6–89.0 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.4–82.2 LVA 85.8–88.8 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.5–82.0 LVA 86.0–88.6 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
-43.43
p-value
2.16e-92

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
SEA 78.1–83.6 LVA 84.5–90.6 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.6) over Seattle Storm (avg. 80.8) — by 6.8 points. The 95% ranges don't overlap at all — a confident model.

SEA 78.5–83.1 LVA 85.0–90.1 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.6) over Seattle Storm (avg. 80.8) — by 6.8 points. The 90% ranges don't overlap at all — a confident model.

SEA 78.8–82.8 LVA 85.3–89.8 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.6) over Seattle Storm (avg. 80.8) — by 6.8 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.0–82.6 LVA 85.6–89.6 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.6) over Seattle Storm (avg. 80.8) — by 6.8 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.2–82.4 LVA 85.8–89.4 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.6) over Seattle Storm (avg. 80.8) — by 6.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
-34.24
p-value
1.04e-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.

Dr. Wallace
SEA 78.5–83.1 LVA 84.9–89.8 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 95% ranges don't overlap at all — a confident model.

SEA 78.8–82.8 LVA 85.3–89.4 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.1–82.5 LVA 85.6–89.1 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.3–82.3 LVA 85.8–88.9 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.4–82.2 LVA 85.9–88.8 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.3) over Seattle Storm (avg. 80.8) — by 6.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-40.20
p-value
2.21e-87

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
SEA 78.4–83.2 LVA 84.5–90.3 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 80.8) — by 6.6 points. The 95% ranges don't overlap at all — a confident model.

SEA 78.8–82.8 LVA 85.0–89.9 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 80.8) — by 6.6 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.0–82.6 LVA 85.3–89.6 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 80.8) — by 6.6 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.2–82.4 LVA 85.5–89.3 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 80.8) — by 6.6 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.4–82.2 LVA 85.7–89.1 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 80.8) — by 6.6 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
-36.50
p-value
7.10e-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.

Dr. Lila Shah
SEA 79.1–82.8 LVA 84.2–88.9 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 86.6) over Seattle Storm (avg. 81.0) — by 5.6 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.4–82.5 LVA 84.6–88.5 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 86.6) over Seattle Storm (avg. 81.0) — by 5.6 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.6–82.3 LVA 84.8–88.3 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 86.6) over Seattle Storm (avg. 81.0) — by 5.6 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.8–82.2 LVA 85.0–88.1 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 86.6) over Seattle Storm (avg. 81.0) — by 5.6 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.9–82.1 LVA 85.2–87.9 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 86.6) over Seattle Storm (avg. 81.0) — by 5.6 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-38.56
p-value
4.94e-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.

Ice
SEA 78.8–83.7 LVA 85.1–89.6 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.3) — by 6.1 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.2–83.3 LVA 85.5–89.3 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.3) — by 6.1 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.5–83.1 LVA 85.7–89.0 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.3) — by 6.1 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.7–82.9 LVA 85.9–88.8 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.3) — by 6.1 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.8–82.7 LVA 86.0–88.7 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.3) — by 6.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
-38.17
p-value
8.09e-84

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
SEA 78.5–83.3 LVA 85.0–89.4 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 95% ranges don't overlap at all — a confident model.

SEA 78.9–82.9 LVA 85.4–89.1 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.1–82.7 LVA 85.6–88.9 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.3–82.5 LVA 85.8–88.7 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.5–82.3 LVA 85.9–88.5 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
-40.23
p-value
1.66e-86

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
SEA 78.8–83.1 LVA 84.8–89.7 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.1–82.7 LVA 85.2–89.3 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.3–82.5 LVA 85.4–89.0 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.5–82.3 LVA 85.6–88.8 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.7–82.2 LVA 85.8–88.7 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
-39.65
p-value
5.54e-85

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
SEA 78.5–83.3 LVA 84.8–89.7 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

SEA 78.9–82.9 LVA 85.2–89.3 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.1–82.6 LVA 85.5–89.0 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.3–82.5 LVA 85.7–88.8 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.5–82.3 LVA 85.8–88.7 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.2) over Seattle Storm (avg. 80.9) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-38.55
p-value
4.04e-84

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
SEA 78.9–83.0 LVA 84.4–90.4 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.0) — by 6.4 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.2–82.7 LVA 84.9–89.9 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.0) — by 6.4 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.5–82.5 LVA 85.2–89.6 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.0) — by 6.4 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–82.3 LVA 85.4–89.3 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.0) — by 6.4 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.8–82.2 LVA 85.6–89.1 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.4) over Seattle Storm (avg. 81.0) — by 6.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-36.54
p-value
6.41e-75

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
SEA 78.7–83.1 LVA 84.8–89.5 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.1) over Seattle Storm (avg. 80.9) — by 6.2 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.1–82.7 LVA 85.2–89.1 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.1) over Seattle Storm (avg. 80.9) — by 6.2 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.3–82.5 LVA 85.4–88.8 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.1) over Seattle Storm (avg. 80.9) — by 6.2 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.5–82.3 LVA 85.6–88.7 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.1) over Seattle Storm (avg. 80.9) — by 6.2 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.6–82.2 LVA 85.8–88.5 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.1) over Seattle Storm (avg. 80.9) — by 6.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
-40.65
p-value
2.52e-87

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
SEA 77.3–82.8 LVA 84.7–90.4 No overlap Actual: SEA 91, LVA 101

In 95 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.5) over Seattle Storm (avg. 80.0) — by 7.5 points. The 95% ranges don't overlap at all — a confident model.

SEA 77.7–82.3 LVA 85.2–89.9 No overlap Actual: SEA 91, LVA 101

In 90 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.5) over Seattle Storm (avg. 80.0) — by 7.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 78.0–82.0 LVA 85.4–89.6 No overlap Actual: SEA 91, LVA 101

In 85 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.5) over Seattle Storm (avg. 80.0) — by 7.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 78.2–81.8 LVA 85.7–89.4 No overlap Actual: SEA 91, LVA 101

In 80 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.5) over Seattle Storm (avg. 80.0) — by 7.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 78.4–81.6 LVA 85.9–89.2 No overlap Actual: SEA 91, LVA 101

In 75 out of 100 simulated runs, leans Las Vegas Aces (avg. 87.5) over Seattle Storm (avg. 80.0) — by 7.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-39.33
p-value
2.43e-85

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 — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.6–82.9 85.0–89.6 — pts No
90% 79.0–82.6 85.4–89.2 — pts No
85% 79.2–82.3 85.6–89.0 — pts No
80% 79.4–82.2 85.8–88.8 — pts No
75% 79.5–82.0 86.0–88.6 — pts No
Reg — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.1–83.6 84.5–90.6 — pts No
90% 78.5–83.1 85.0–90.1 — pts No
85% 78.8–82.8 85.3–89.8 — pts No
80% 79.0–82.6 85.6–89.6 — pts No
75% 79.2–82.4 85.8–89.4 — pts No
Dr. Wallace — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.5–83.1 84.9–89.8 — pts No
90% 78.8–82.8 85.3–89.4 — pts No
85% 79.1–82.5 85.6–89.1 — pts No
80% 79.3–82.3 85.8–88.9 — pts No
75% 79.4–82.2 85.9–88.8 — pts No
Kevin — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.4–83.2 84.5–90.3 — pts No
90% 78.8–82.8 85.0–89.9 — pts No
85% 79.0–82.6 85.3–89.6 — pts No
80% 79.2–82.4 85.5–89.3 — pts No
75% 79.4–82.2 85.7–89.1 — pts No
Dr. Lila Shah — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 79.1–82.8 84.2–88.9 — pts No
90% 79.4–82.5 84.6–88.5 — pts No
85% 79.6–82.3 84.8–88.3 — pts No
80% 79.8–82.2 85.0–88.1 — pts No
75% 79.9–82.1 85.2–87.9 — pts No
Ice — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.8–83.7 85.1–89.6 — pts No
90% 79.2–83.3 85.5–89.3 — pts No
85% 79.5–83.1 85.7–89.0 — pts No
80% 79.7–82.9 85.9–88.8 — pts No
75% 79.8–82.7 86.0–88.7 — pts No
Jamal — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.5–83.3 85.0–89.4 — pts No
90% 78.9–82.9 85.4–89.1 — pts No
85% 79.1–82.7 85.6–88.9 — pts No
80% 79.3–82.5 85.8–88.7 — pts No
75% 79.5–82.3 85.9–88.5 — pts No
Jordan — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.8–83.1 84.8–89.7 — pts No
90% 79.1–82.7 85.2–89.3 — pts No
85% 79.3–82.5 85.4–89.0 — pts No
80% 79.5–82.3 85.6–88.8 — pts No
75% 79.7–82.2 85.8–88.7 — pts No
Darren "Dimes" Lin — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.5–83.3 84.8–89.7 — pts No
90% 78.9–82.9 85.2–89.3 — pts No
85% 79.1–82.6 85.5–89.0 — pts No
80% 79.3–82.5 85.7–88.8 — pts No
75% 79.5–82.3 85.8–88.7 — pts No
Maya Jefferson — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.9–83.0 84.4–90.4 — pts No
90% 79.2–82.7 84.9–89.9 — pts No
85% 79.5–82.5 85.2–89.6 — pts No
80% 79.6–82.3 85.4–89.3 — pts No
75% 79.8–82.2 85.6–89.1 — pts No
Lexi — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 78.7–83.1 84.8–89.5 — pts No
90% 79.1–82.7 85.2–89.1 — pts No
85% 79.3–82.5 85.4–88.8 — pts No
80% 79.5–82.3 85.6–88.7 — pts No
75% 79.6–82.2 85.8–88.5 — pts No
Coach Sarah Watanabe — SEA at LVA — Actual: SEA 91, LVA 101
Level SEA range LVA range Overlap Tol Warning Actual landed in range?
95% 77.3–82.8 84.7–90.4 — pts No
90% 77.7–82.3 85.2–89.9 — pts No
85% 78.0–82.0 85.4–89.6 — pts No
80% 78.2–81.8 85.7–89.4 — pts No
75% 78.4–81.6 85.9–89.2 — pts No