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Washington Mystics at New York Liberty

WAS 64 – NY 86

June 14, 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 WAS at NY

All 12 models’ predicted scores

WAS — one dot per model NY — one dot per model Actual: WAS 64, NY 86
Vince Chambers
WAS 80.8–86.2 NY 83.0–88.0 Overlap 3.2 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.5) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.2–85.8 NY 83.4–87.6 Overlap 2.36 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.5) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

WAS 81.5–85.5 NY 83.7–87.3 Overlap 1.82 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.5) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

WAS 81.7–85.3 NY 83.9–87.1 Overlap 1.4 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.5) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

WAS 81.9–85.1 NY 84.0–87.0 Overlap 1.05 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.5) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-11.17
p-value
8.12e-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.

Reg
WAS 80.4–85.8 NY 82.8–88.2 Overlap 3.06 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.4 points. The ranges overlap almost entirely, so one game could go either way.

WAS 80.9–85.4 NY 83.2–87.8 Overlap 2.19 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.2–85.1 NY 83.5–87.5 Overlap 1.62 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.4–84.9 NY 83.7–87.3 Overlap 1.18 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.6–84.7 NY 83.9–87.1 Overlap 0.82 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.4 points. The ranges barely touch.

Show the math
Model
Reg (#2)
t-statistic
-12.67
p-value
5.24e-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.

Dr. Wallace Tol Warning
WAS 81.0–85.3 NY 83.2–88.0 Overlap 2.09 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.5) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

WAS 82.0–85.1 NY 83.6–87.6 Overlap 1.53 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.5) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

WAS 82.2–84.9 NY 83.8–87.4 Overlap 1.1 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.5) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

WAS 82.5–84.8 NY 84.0–87.2 Overlap 0.73 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.5) — by 2.1 points. The ranges barely touch.

WAS 82.6–84.6 NY 84.2–87.0 Overlap 0.44 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.5) — by 2.1 points. The ranges barely touch.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-13.29
p-value
1.13e-27

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
WAS 80.7–86.0 NY 83.4–88.1 Overlap 2.66 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 83.3) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.1–85.6 NY 83.7–87.7 Overlap 1.85 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 83.3) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.4–85.3 NY 84.0–87.5 Overlap 1.32 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 83.3) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.6–85.1 NY 84.2–87.3 Overlap 0.91 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 83.3) — by 2.4 points. The ranges barely touch.

WAS 81.8–84.9 NY 84.3–87.1 Overlap 0.58 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 83.3) — by 2.4 points. The ranges barely touch.

Show the math
Model
Kevin (#4)
t-statistic
-13.71
p-value
8.96e-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
WAS 79.8–84.6 NY 83.9–88.5 Overlap 0.72 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 86.2) over Washington Mystics (avg. 82.2) — by 4.0 points. The ranges barely touch.

WAS 80.2–84.2 NY 84.3–88.2 No overlap Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 86.2) over Washington Mystics (avg. 82.2) — by 4.0 points. The 90% ranges don't overlap at all — a confident model.

WAS 80.5–84.0 NY 84.5–87.9 No overlap Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 86.2) over Washington Mystics (avg. 82.2) — by 4.0 points. The 85% ranges don't overlap at all — a confident model.

WAS 80.7–83.8 NY 84.7–87.7 No overlap Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 86.2) over Washington Mystics (avg. 82.2) — by 4.0 points. The 80% ranges don't overlap at all — a confident model.

WAS 80.8–83.6 NY 84.8–87.6 No overlap Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 86.2) over Washington Mystics (avg. 82.2) — by 4.0 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-24.63
p-value
1.22e-56

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
WAS 80.2–85.1 NY 83.1–87.8 Overlap 2.04 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.4–85.0 NY 83.5–87.4 Overlap 1.55 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.6–84.8 NY 83.7–87.2 Overlap 1.1 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.7–84.7 NY 83.9–87.0 Overlap 0.77 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges barely touch.

WAS 81.9–84.5 NY 84.1–86.8 Overlap 0.46 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.2) — by 2.2 points. The ranges barely touch.

Show the math
Model
Ice (#6)
t-statistic
-12.71
p-value
6.11e-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.

Jamal
WAS 80.6–85.7 NY 82.7–88.2 Overlap 2.96 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.0–85.3 NY 83.1–87.8 Overlap 2.11 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.3–85.0 NY 83.4–87.5 Overlap 1.55 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.5–84.8 NY 83.7–87.3 Overlap 1.13 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.6–84.6 NY 83.8–87.1 Overlap 0.77 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 83.1) — by 2.3 points. The ranges barely touch.

Show the math
Model
Jamal (#7)
t-statistic
-12.80
p-value
2.55e-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
WAS 80.7–85.9 NY 82.8–88.4 Overlap 3.14 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.3) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.1–85.5 NY 83.2–87.9 Overlap 2.27 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.3) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.4–85.2 NY 83.5–87.6 Overlap 1.71 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.3) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.6–85.0 NY 83.8–87.4 Overlap 1.27 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.3) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.8–84.9 NY 83.9–87.2 Overlap 0.91 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.3) — by 2.3 points. The ranges barely touch.

Show the math
Model
Jordan (#8)
t-statistic
-12.15
p-value
1.58e-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.

Darren "Dimes" Lin
WAS 80.8–86.0 NY 83.2–88.0 Overlap 2.79 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.2–85.6 NY 83.6–87.6 Overlap 1.98 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.5–85.3 NY 83.9–87.4 Overlap 1.46 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.7–85.1 NY 84.1–87.2 Overlap 1.06 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.8–84.9 NY 84.2–87.0 Overlap 0.72 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges barely touch.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-12.85
p-value
1.96e-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.

Maya Jefferson
WAS 80.7–85.6 NY 83.4–87.8 Overlap 2.22 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.2) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.1–85.2 NY 83.7–87.5 Overlap 1.47 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.2) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

WAS 81.4–84.9 NY 84.0–87.2 Overlap 0.98 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.2) — by 2.4 points. The ranges barely touch.

WAS 81.6–84.7 NY 84.1–87.0 Overlap 0.61 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.2) — by 2.4 points. The ranges barely touch.

WAS 81.7–84.6 NY 84.3–86.9 Overlap 0.3 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.2) — by 2.4 points. The ranges barely touch.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-15.19
p-value
6.89e-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
WAS 80.6–86.2 NY 83.5–87.7 Overlap 2.68 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.0–85.7 NY 83.9–87.4 Overlap 1.89 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.3–85.5 NY 84.1–87.1 Overlap 1.38 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

WAS 81.5–85.2 NY 84.2–87.0 Overlap 0.98 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges barely touch.

WAS 81.7–85.0 NY 84.4–86.8 Overlap 0.65 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 83.4) — by 2.2 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
-13.04
p-value
1.87e-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.

Coach Sarah Watanabe
WAS 81.0–86.1 NY 81.4–86.5 Overlap 4.67 pts Actual: WAS 64, NY 86

In 95 out of 100 simulated runs, leans New York Liberty (avg. 84.0) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

WAS 81.4–85.6 NY 81.8–86.1 Overlap 3.85 pts Actual: WAS 64, NY 86

In 90 out of 100 simulated runs, leans New York Liberty (avg. 84.0) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

WAS 81.7–85.4 NY 82.1–85.9 Overlap 3.31 pts Actual: WAS 64, NY 86

In 85 out of 100 simulated runs, leans New York Liberty (avg. 84.0) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

WAS 81.9–85.2 NY 82.3–85.6 Overlap 2.9 pts Actual: WAS 64, NY 86

In 80 out of 100 simulated runs, leans New York Liberty (avg. 84.0) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap some — there's real uncertainty here.

WAS 82.0–85.0 NY 82.4–85.5 Overlap 2.56 pts Actual: WAS 64, NY 86

In 75 out of 100 simulated runs, leans New York Liberty (avg. 84.0) over Washington Mystics (avg. 83.5) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-2.51
p-value
1.29e-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.

View as table
Vince Chambers — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.8–86.2 83.0–88.0 3.2 pts No
90% 81.2–85.8 83.4–87.6 2.36 pts No
85% 81.5–85.5 83.7–87.3 1.82 pts No
80% 81.7–85.3 83.9–87.1 1.4 pts No
75% 81.9–85.1 84.0–87.0 1.05 pts No
Reg — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.4–85.8 82.8–88.2 3.06 pts No
90% 80.9–85.4 83.2–87.8 2.19 pts No
85% 81.2–85.1 83.5–87.5 1.62 pts No
80% 81.4–84.9 83.7–87.3 1.18 pts No
75% 81.6–84.7 83.9–87.1 0.82 pts No
Dr. Wallace — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.0–85.3 83.2–88.0 2.09 pts Yes No
90% 82.0–85.1 83.6–87.6 1.53 pts Yes No
85% 82.2–84.9 83.8–87.4 1.1 pts Yes No
80% 82.5–84.8 84.0–87.2 0.73 pts Yes No
75% 82.6–84.6 84.2–87.0 0.44 pts Yes No
Kevin — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.7–86.0 83.4–88.1 2.66 pts No
90% 81.1–85.6 83.7–87.7 1.85 pts No
85% 81.4–85.3 84.0–87.5 1.32 pts No
80% 81.6–85.1 84.2–87.3 0.91 pts No
75% 81.8–84.9 84.3–87.1 0.58 pts No
Dr. Lila Shah — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 79.8–84.6 83.9–88.5 0.72 pts No
90% 80.2–84.2 84.3–88.2 — pts No
85% 80.5–84.0 84.5–87.9 — pts No
80% 80.7–83.8 84.7–87.7 — pts No
75% 80.8–83.6 84.8–87.6 — pts No
Ice — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.2–85.1 83.1–87.8 2.04 pts Yes No
90% 81.4–85.0 83.5–87.4 1.55 pts Yes No
85% 81.6–84.8 83.7–87.2 1.1 pts Yes No
80% 81.7–84.7 83.9–87.0 0.77 pts Yes No
75% 81.9–84.5 84.1–86.8 0.46 pts Yes No
Jamal — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.6–85.7 82.7–88.2 2.96 pts No
90% 81.0–85.3 83.1–87.8 2.11 pts No
85% 81.3–85.0 83.4–87.5 1.55 pts No
80% 81.5–84.8 83.7–87.3 1.13 pts No
75% 81.6–84.6 83.8–87.1 0.77 pts No
Jordan — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.7–85.9 82.8–88.4 3.14 pts No
90% 81.1–85.5 83.2–87.9 2.27 pts No
85% 81.4–85.2 83.5–87.6 1.71 pts No
80% 81.6–85.0 83.8–87.4 1.27 pts No
75% 81.8–84.9 83.9–87.2 0.91 pts No
Darren "Dimes" Lin — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.8–86.0 83.2–88.0 2.79 pts No
90% 81.2–85.6 83.6–87.6 1.98 pts No
85% 81.5–85.3 83.9–87.4 1.46 pts No
80% 81.7–85.1 84.1–87.2 1.06 pts No
75% 81.8–84.9 84.2–87.0 0.72 pts No
Maya Jefferson — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.7–85.6 83.4–87.8 2.22 pts No
90% 81.1–85.2 83.7–87.5 1.47 pts No
85% 81.4–84.9 84.0–87.2 0.98 pts No
80% 81.6–84.7 84.1–87.0 0.61 pts No
75% 81.7–84.6 84.3–86.9 0.3 pts No
Lexi — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.6–86.2 83.5–87.7 2.68 pts No
90% 81.0–85.7 83.9–87.4 1.89 pts No
85% 81.3–85.5 84.1–87.1 1.38 pts No
80% 81.5–85.2 84.2–87.0 0.98 pts No
75% 81.7–85.0 84.4–86.8 0.65 pts No
Coach Sarah Watanabe — WAS at NY — Actual: WAS 64, NY 86
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.0–86.1 81.4–86.5 4.67 pts No
90% 81.4–85.6 81.8–86.1 3.85 pts No
85% 81.7–85.4 82.1–85.9 3.31 pts No
80% 81.9–85.2 82.3–85.6 2.9 pts No
75% 82.0–85.0 82.4–85.5 2.56 pts No