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Seattle Storm at New York Liberty

SEA 86 – NY 92

August 5, 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 SEA at NY

All 12 models’ predicted scores

SEA — one dot per model NY — one dot per model Actual: SEA 86, NY 92
Vince Chambers Tol Warning
SEA 81.7–88.9 NY 85.0–91.6 Overlap 3.82 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Seattle Storm (avg. 85.4) — by 3.0 points. The ranges overlap almost entirely, so one game could go either way.

SEA 82.9–88.3 NY 85.6–91.1 Overlap 2.7 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Seattle Storm (avg. 85.4) — by 3.0 points. The ranges overlap some — there's real uncertainty here.

SEA 83.4–87.9 NY 85.9–90.7 Overlap 1.94 pts Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Seattle Storm (avg. 85.4) — by 3.0 points. The ranges overlap some — there's real uncertainty here.

SEA 83.9–87.2 NY 86.2–90.5 Overlap 1.0 pts Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Seattle Storm (avg. 85.4) — by 3.0 points. The ranges overlap some — there's real uncertainty here.

SEA 84.0–86.8 NY 86.4–90.3 Overlap 0.44 pts Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.3) over Seattle Storm (avg. 85.4) — by 3.0 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
-10.45
p-value
2.30e-18

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 79.8–89.6 NY 84.7–91.7 Overlap 4.88 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.2) over Seattle Storm (avg. 84.7) — by 3.5 points. The ranges overlap almost entirely, so one game could go either way.

SEA 80.6–88.8 NY 85.3–91.2 Overlap 3.52 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.2) over Seattle Storm (avg. 84.7) — by 3.5 points. The ranges overlap almost entirely, so one game could go either way.

SEA 81.1–88.3 NY 85.6–90.8 Overlap 2.64 pts Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.2) over Seattle Storm (avg. 84.7) — by 3.5 points. The ranges overlap some — there's real uncertainty here.

SEA 81.5–87.9 NY 85.9–90.5 Overlap 1.97 pts Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.2) over Seattle Storm (avg. 84.7) — by 3.5 points. The ranges overlap some — there's real uncertainty here.

SEA 81.8–87.6 NY 86.2–90.3 Overlap 1.4 pts Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.2) over Seattle Storm (avg. 84.7) — by 3.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-10.61
p-value
2.01e-18

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 Tol Warning
SEA 79.8–87.0 NY 85.1–90.7 Overlap 1.94 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 83.7) — by 4.2 points. The ranges overlap some — there's real uncertainty here.

SEA 80.1–86.3 NY 85.5–90.2 Overlap 0.74 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 83.7) — by 4.2 points. The ranges barely touch.

SEA 80.3–86.2 NY 85.8–89.9 Overlap 0.39 pts Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 83.7) — by 4.2 points. The ranges barely touch.

SEA 80.6–86.1 NY 86.0–89.7 Overlap 0.1 pts Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 83.7) — by 4.2 points. The ranges barely touch.

SEA 80.9–86.0 NY 86.2–89.5 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 83.7) — by 4.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-12.93
p-value
2.32e-22

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 Tol Warning
SEA 78.0–87.9 NY 86.1–91.6 Overlap 1.79 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 88.1) over Seattle Storm (avg. 82.9) — by 5.2 points. The ranges overlap some — there's real uncertainty here.

SEA 78.8–87.1 NY 86.4–90.3 Overlap 0.71 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 88.1) over Seattle Storm (avg. 82.9) — by 5.2 points. The ranges barely touch.

SEA 79.3–86.6 NY 86.4–90.0 Overlap 0.1 pts Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 88.1) over Seattle Storm (avg. 82.9) — by 5.2 points. The ranges barely touch.

SEA 79.7–86.2 NY 86.6–89.9 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 88.1) over Seattle Storm (avg. 82.9) — by 5.2 points. The 80% ranges don't overlap at all — a confident model.

SEA 80.1–85.8 NY 86.7–89.4 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 88.1) over Seattle Storm (avg. 82.9) — by 5.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
-15.31
p-value
7.15e-29

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

Dr. Lila Shah Tol Warning
SEA 79.0–85.9 NY 84.6–90.1 Overlap 1.27 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 81.5) — by 5.8 points. The ranges overlap some — there's real uncertainty here.

SEA 79.3–85.3 NY 85.1–89.6 Overlap 0.19 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 81.5) — by 5.8 points. The ranges barely touch.

SEA 79.4–84.9 NY 85.3–89.4 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 81.5) — by 5.8 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–84.2 NY 85.6–89.1 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 81.5) — by 5.8 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.8–83.5 NY 85.8–89.0 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 81.5) — by 5.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-20.49
p-value
2.08e-37

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 78.3–86.1 NY 84.8–89.9 Overlap 1.37 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.3) over Seattle Storm (avg. 82.2) — by 5.1 points. The ranges overlap some — there's real uncertainty here.

SEA 78.9–85.5 NY 85.2–89.5 Overlap 0.33 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.3) over Seattle Storm (avg. 82.2) — by 5.1 points. The ranges barely touch.

SEA 79.3–85.1 NY 85.5–89.2 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.3) over Seattle Storm (avg. 82.2) — by 5.1 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–84.8 NY 85.7–89.0 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.3) over Seattle Storm (avg. 82.2) — by 5.1 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.9–84.5 NY 85.8–88.9 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.3) over Seattle Storm (avg. 82.2) — by 5.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
-19.75
p-value
1.31e-36

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 Tol Warning
SEA 79.5–86.0 NY 85.8–89.7 Overlap 0.21 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Seattle Storm (avg. 82.0) — by 5.7 points. The ranges barely touch.

SEA 79.6–85.8 NY 86.4–89.2 No overlap Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Seattle Storm (avg. 82.0) — by 5.7 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.9–85.2 NY 86.7–89.0 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Seattle Storm (avg. 82.0) — by 5.7 points. The 85% ranges don't overlap at all — a confident model.

SEA 80.0–84.7 NY 86.7–88.9 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Seattle Storm (avg. 82.0) — by 5.7 points. The 80% ranges don't overlap at all — a confident model.

SEA 80.2–84.0 NY 86.8–88.8 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.7) over Seattle Storm (avg. 82.0) — by 5.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
-21.03
p-value
1.26e-38

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

Jordan Tol Warning
SEA 79.7–85.0 NY 85.1–89.9 No overlap Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.5) over Seattle Storm (avg. 82.2) — by 5.3 points. The 95% ranges don't overlap at all — a confident model.

SEA 80.0–84.9 NY 85.5–89.5 No overlap Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.5) over Seattle Storm (avg. 82.2) — by 5.3 points. The 90% ranges don't overlap at all — a confident model.

SEA 80.1–84.8 NY 85.7–89.3 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.5) over Seattle Storm (avg. 82.2) — by 5.3 points. The 85% ranges don't overlap at all — a confident model.

SEA 80.5–84.6 NY 85.9–89.1 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.5) over Seattle Storm (avg. 82.2) — by 5.3 points. The 80% ranges don't overlap at all — a confident model.

SEA 80.7–84.3 NY 86.1–88.9 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.5) over Seattle Storm (avg. 82.2) — by 5.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
-21.68
p-value
6.48e-40

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
SEA 79.3–86.8 NY 84.6–90.6 Overlap 2.22 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.4 points. The ranges overlap some — there's real uncertainty here.

SEA 79.9–85.6 NY 85.1–90.1 Overlap 0.53 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.4 points. The ranges barely touch.

SEA 80.2–84.9 NY 85.4–89.8 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

SEA 80.4–84.2 NY 85.7–89.6 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

SEA 80.5–84.1 NY 85.9–89.4 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — 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
-18.29
p-value
2.54e-34

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 Tol Warning
SEA 79.7–86.6 NY 85.3–90.0 Overlap 1.26 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.3 points. The ranges overlap some — there's real uncertainty here.

SEA 79.9–85.4 NY 85.7–89.6 No overlap Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.3 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.9–85.2 NY 85.9–89.3 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.3 points. The 85% ranges don't overlap at all — a confident model.

SEA 80.0–85.1 NY 86.1–89.2 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.3 points. The 80% ranges don't overlap at all — a confident model.

SEA 80.2–84.8 NY 86.3–89.0 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.6) over Seattle Storm (avg. 82.3) — by 5.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-19.29
p-value
1.75e-33

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
SEA 78.0–86.9 NY 85.6–89.7 Overlap 1.24 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 82.4) — by 5.5 points. The ranges overlap some — there's real uncertainty here.

SEA 78.7–86.1 NY 86.4–89.4 No overlap Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 82.4) — by 5.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.1–85.7 NY 86.6–89.2 No overlap Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 82.4) — by 5.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.5–85.3 NY 86.7–89.0 No overlap Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 82.4) — by 5.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.8–85.0 NY 86.8–88.8 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.9) over Seattle Storm (avg. 82.4) — by 5.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
-18.67
p-value
1.51e-34

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 79.9–86.8 NY 83.9–90.9 Overlap 2.85 pts Actual: SEA 86, NY 92

In 95 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 83.3) — by 4.1 points. The ranges overlap some — there's real uncertainty here.

SEA 80.4–86.2 NY 84.5–90.3 Overlap 1.73 pts Actual: SEA 86, NY 92

In 90 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 83.3) — by 4.1 points. The ranges overlap some — there's real uncertainty here.

SEA 80.8–85.9 NY 84.9–90.0 Overlap 1.01 pts Actual: SEA 86, NY 92

In 85 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 83.3) — by 4.1 points. The ranges overlap some — there's real uncertainty here.

SEA 81.1–85.6 NY 85.1–89.7 Overlap 0.45 pts Actual: SEA 86, NY 92

In 80 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 83.3) — by 4.1 points. The ranges barely touch.

SEA 81.3–85.4 NY 85.4–89.5 No overlap Actual: SEA 86, NY 92

In 75 out of 100 simulated runs, leans New York Liberty (avg. 87.4) over Seattle Storm (avg. 83.3) — by 4.1 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-15.08
p-value
2.72e-29

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 NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 81.7–88.9 85.0–91.6 3.82 pts Yes No
90% 82.9–88.3 85.6–91.1 2.7 pts Yes No
85% 83.4–87.9 85.9–90.7 1.94 pts Yes No
80% 83.9–87.2 86.2–90.5 1.0 pts Yes No
75% 84.0–86.8 86.4–90.3 0.44 pts Yes No
Reg — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.8–89.6 84.7–91.7 4.88 pts — No
90% 80.6–88.8 85.3–91.2 3.52 pts — No
85% 81.1–88.3 85.6–90.8 2.64 pts — No
80% 81.5–87.9 85.9–90.5 1.97 pts — No
75% 81.8–87.6 86.2–90.3 1.4 pts — No
Dr. Wallace — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.8–87.0 85.1–90.7 1.94 pts Yes No
90% 80.1–86.3 85.5–90.2 0.74 pts Yes No
85% 80.3–86.2 85.8–89.9 0.39 pts Yes No
80% 80.6–86.1 86.0–89.7 0.1 pts Yes No
75% 80.9–86.0 86.2–89.5 — pts Yes No
Kevin — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 78.0–87.9 86.1–91.6 1.79 pts Yes No
90% 78.8–87.1 86.4–90.3 0.71 pts Yes No
85% 79.3–86.6 86.4–90.0 0.1 pts Yes No
80% 79.7–86.2 86.6–89.9 — pts Yes No
75% 80.1–85.8 86.7–89.4 — pts Yes No
Dr. Lila Shah — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.0–85.9 84.6–90.1 1.27 pts Yes No
90% 79.3–85.3 85.1–89.6 0.19 pts Yes No
85% 79.4–84.9 85.3–89.4 — pts Yes No
80% 79.6–84.2 85.6–89.1 — pts Yes No
75% 79.8–83.5 85.8–89.0 — pts Yes No
Ice — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 78.3–86.1 84.8–89.9 1.37 pts — No
90% 78.9–85.5 85.2–89.5 0.33 pts — No
85% 79.3–85.1 85.5–89.2 — pts — No
80% 79.6–84.8 85.7–89.0 — pts — No
75% 79.9–84.5 85.8–88.9 — pts — No
Jamal — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.5–86.0 85.8–89.7 0.21 pts Yes No
90% 79.6–85.8 86.4–89.2 — pts Yes No
85% 79.9–85.2 86.7–89.0 — pts Yes No
80% 80.0–84.7 86.7–88.9 — pts Yes No
75% 80.2–84.0 86.8–88.8 — pts Yes No
Jordan — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.7–85.0 85.1–89.9 — pts Yes No
90% 80.0–84.9 85.5–89.5 — pts Yes No
85% 80.1–84.8 85.7–89.3 — pts Yes No
80% 80.5–84.6 85.9–89.1 — pts Yes No
75% 80.7–84.3 86.1–88.9 — pts Yes No
Darren "Dimes" Lin — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.3–86.8 84.6–90.6 2.22 pts Yes No
90% 79.9–85.6 85.1–90.1 0.53 pts Yes No
85% 80.2–84.9 85.4–89.8 — pts Yes No
80% 80.4–84.2 85.7–89.6 — pts Yes No
75% 80.5–84.1 85.9–89.4 — pts Yes No
Maya Jefferson — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.7–86.6 85.3–90.0 1.26 pts Yes No
90% 79.9–85.4 85.7–89.6 — pts Yes No
85% 79.9–85.2 85.9–89.3 — pts Yes No
80% 80.0–85.1 86.1–89.2 — pts Yes No
75% 80.2–84.8 86.3–89.0 — pts Yes No
Lexi — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 78.0–86.9 85.6–89.7 1.24 pts Yes No
90% 78.7–86.1 86.4–89.4 — pts Yes No
85% 79.1–85.7 86.6–89.2 — pts Yes No
80% 79.5–85.3 86.7–89.0 — pts Yes No
75% 79.8–85.0 86.8–88.8 — pts Yes No
Coach Sarah Watanabe — SEA at NY — Actual: SEA 86, NY 92
Level SEA range NY range Overlap Tol Warning Actual landed in range?
95% 79.9–86.8 83.9–90.9 2.85 pts — No
90% 80.4–86.2 84.5–90.3 1.73 pts — No
85% 80.8–85.9 84.9–90.0 1.01 pts — No
80% 81.1–85.6 85.1–89.7 0.45 pts — No
75% 81.3–85.4 85.4–89.5 — pts — No