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Washington Mystics at New York Liberty

WAS 86 – NY 83

June 19, 2026 · Final

Vince Chambers

Best model for this game

Vince Chambers
All models: 0-12
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 86, NY 83
Vince Chambers Tol Warning
WAS 82.2–87.4 NY 83.1–87.2 Overlap 4.04 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.4) — by under a point. The ranges overlap almost entirely, so one game could go either way.

WAS 83.0–85.8 NY 83.5–86.9 Overlap 2.31 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.4) — by under a point. The ranges overlap some — there's real uncertainty here.

WAS 83.0–85.6 NY 83.6–86.8 Overlap 1.97 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.4) — by under a point. The ranges overlap some — there's real uncertainty here.

WAS 83.1–85.5 NY 84.1–86.4 Overlap 1.4 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.4) — by under a point. The ranges overlap some — there's real uncertainty here.

WAS 83.2–85.5 NY 84.3–86.3 Overlap 1.15 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.4) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Vince Chambers (#1)
t-statistic
-5.21
p-value
5.63e-07

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 81.5–86.6 NY 82.2–88.2 Overlap 4.34 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.2) over Washington Mystics (avg. 84.0) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.9–86.2 NY 82.7–87.8 Overlap 3.45 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.2) over Washington Mystics (avg. 84.0) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.2–85.9 NY 83.0–87.4 Overlap 2.86 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.2) over Washington Mystics (avg. 84.0) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

WAS 82.4–85.7 NY 83.3–87.2 Overlap 2.42 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.2) over Washington Mystics (avg. 84.0) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

WAS 82.5–85.5 NY 83.5–87.0 Overlap 2.05 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.2) over Washington Mystics (avg. 84.0) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-6.27
p-value
3.31e-09

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 81.1–86.8 NY 83.0–87.8 Overlap 3.83 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.0) over Washington Mystics (avg. 84.0) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.6–86.4 NY 83.5–87.5 Overlap 2.89 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.0) over Washington Mystics (avg. 84.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

WAS 81.9–86.1 NY 83.7–87.0 Overlap 2.36 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.0) over Washington Mystics (avg. 84.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

WAS 82.1–85.8 NY 83.8–86.7 Overlap 2.07 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.0) over Washington Mystics (avg. 84.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

WAS 82.3–85.6 NY 83.9–86.6 Overlap 1.78 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.0) over Washington Mystics (avg. 84.0) — by 1.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-5.23
p-value
5.31e-07

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 82.0–86.5 NY 82.9–88.2 Overlap 3.56 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 84.2) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.3–86.1 NY 83.4–87.8 Overlap 2.77 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 84.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

WAS 82.6–85.9 NY 83.6–87.5 Overlap 2.26 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 84.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

WAS 82.8–85.7 NY 83.9–87.3 Overlap 1.86 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 84.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

WAS 82.9–85.6 NY 84.0–87.2 Overlap 1.53 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.6) over Washington Mystics (avg. 84.2) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Kevin (#4)
t-statistic
-7.92
p-value
4.12e-13

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

Dr. Lila Shah
WAS 80.8–86.3 NY 82.9–88.3 Overlap 3.42 pts Actual: WAS 86, NY 83

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 almost entirely, so one game could go either way.

WAS 81.3–85.8 NY 83.3–87.9 Overlap 2.53 pts Actual: WAS 86, NY 83

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 81.5–85.5 NY 83.6–87.6 Overlap 1.95 pts Actual: WAS 86, NY 83

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 81.8–85.3 NY 83.8–87.4 Overlap 1.5 pts Actual: WAS 86, NY 83

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 overlap some — there's real uncertainty here.

WAS 81.9–85.1 NY 84.0–87.2 Overlap 1.13 pts Actual: WAS 86, NY 83

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 overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-10.97
p-value
3.09e-21

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
WAS 82.0–86.6 NY 83.1–87.9 Overlap 3.49 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.3) — by 1.2 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.4–86.2 NY 83.5–87.5 Overlap 2.73 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.3) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

WAS 82.6–86.0 NY 83.8–87.3 Overlap 2.24 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.3) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

WAS 82.8–85.8 NY 84.0–87.1 Overlap 1.86 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.3) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

WAS 82.9–85.7 NY 84.1–86.9 Overlap 1.54 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.3) — by 1.2 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
-7.54
p-value
3.39e-12

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 82.1–86.4 NY 83.3–88.0 Overlap 3.16 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 84.3) — by 1.4 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.5–86.1 NY 83.7–87.7 Overlap 2.43 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 84.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

WAS 82.7–85.9 NY 83.9–87.4 Overlap 1.96 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 84.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

WAS 82.9–85.7 NY 84.1–87.2 Overlap 1.59 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 84.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

WAS 83.0–85.6 NY 84.3–87.1 Overlap 1.29 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.7) over Washington Mystics (avg. 84.3) — by 1.4 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-8.78
p-value
2.50e-15

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 81.6–86.8 NY 82.9–87.7 Overlap 3.89 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.2) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.0–86.4 NY 83.3–87.3 Overlap 3.09 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.2) — by 1.1 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.3–86.1 NY 83.6–87.1 Overlap 2.57 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.2) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

WAS 82.5–85.9 NY 83.8–86.9 Overlap 2.17 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.2) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

WAS 82.7–85.8 NY 83.9–86.7 Overlap 1.83 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.2) — by 1.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-6.31
p-value
2.78e-09

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 81.5–86.8 NY 82.8–88.2 Overlap 3.98 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.1) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.9–86.4 NY 83.2–87.7 Overlap 3.13 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.1) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.2–86.1 NY 83.5–87.4 Overlap 2.57 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.1) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.4–85.9 NY 83.7–87.2 Overlap 2.14 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.1) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.6–85.7 NY 83.9–87.0 Overlap 1.78 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.5) over Washington Mystics (avg. 84.1) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-7.25
p-value
1.76e-11

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 81.9–86.2 NY 83.1–87.6 Overlap 3.12 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.2–85.9 NY 83.5–87.2 Overlap 2.41 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.4–85.7 NY 83.7–87.0 Overlap 1.95 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.6–85.5 NY 83.9–86.8 Overlap 1.6 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.8–85.3 NY 84.0–86.6 Overlap 1.3 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-8.40
p-value
2.47e-14

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 80.9–87.1 NY 82.3–88.3 Overlap 4.85 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.4–86.6 NY 82.7–87.8 Overlap 3.87 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.7–86.3 NY 83.1–87.5 Overlap 3.23 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 82.0–86.0 NY 83.3–87.3 Overlap 2.73 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.2–85.8 NY 83.5–87.1 Overlap 2.32 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 85.3) over Washington Mystics (avg. 84.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
-5.97
p-value
1.48e-08

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 81.3–85.6 NY 82.0–87.6 Overlap 3.66 pts Actual: WAS 86, NY 83

In 95 out of 100 simulated runs, leans New York Liberty (avg. 84.8) over Washington Mystics (avg. 83.4) — by 1.3 points. The ranges overlap almost entirely, so one game could go either way.

WAS 81.6–85.3 NY 82.4–87.1 Overlap 2.86 pts Actual: WAS 86, NY 83

In 90 out of 100 simulated runs, leans New York Liberty (avg. 84.8) over Washington Mystics (avg. 83.4) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 81.9–85.0 NY 82.7–86.8 Overlap 2.34 pts Actual: WAS 86, NY 83

In 85 out of 100 simulated runs, leans New York Liberty (avg. 84.8) over Washington Mystics (avg. 83.4) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.0–84.9 NY 82.9–86.6 Overlap 1.94 pts Actual: WAS 86, NY 83

In 80 out of 100 simulated runs, leans New York Liberty (avg. 84.8) over Washington Mystics (avg. 83.4) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

WAS 82.2–84.7 NY 83.1–86.4 Overlap 1.61 pts Actual: WAS 86, NY 83

In 75 out of 100 simulated runs, leans New York Liberty (avg. 84.8) over Washington Mystics (avg. 83.4) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-7.51
p-value
5.20e-12

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 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 82.2–87.4 83.1–87.2 4.04 pts Yes No
90% 83.0–85.8 83.5–86.9 2.31 pts Yes No
85% 83.0–85.6 83.6–86.8 1.97 pts Yes No
80% 83.1–85.5 84.1–86.4 1.4 pts Yes No
75% 83.2–85.5 84.3–86.3 1.15 pts Yes No
Reg — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.5–86.6 82.2–88.2 4.34 pts — Yes
90% 81.9–86.2 82.7–87.8 3.45 pts — Yes
85% 82.2–85.9 83.0–87.4 2.86 pts — No
80% 82.4–85.7 83.3–87.2 2.42 pts — No
75% 82.5–85.5 83.5–87.0 2.05 pts — No
Dr. Wallace — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.1–86.8 83.0–87.8 3.83 pts Yes Yes
90% 81.6–86.4 83.5–87.5 2.89 pts Yes No
85% 81.9–86.1 83.7–87.0 2.36 pts Yes No
80% 82.1–85.8 83.8–86.7 2.07 pts Yes No
75% 82.3–85.6 83.9–86.6 1.78 pts Yes No
Kevin — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 82.0–86.5 82.9–88.2 3.56 pts — Yes
90% 82.3–86.1 83.4–87.8 2.77 pts — No
85% 82.6–85.9 83.6–87.5 2.26 pts — No
80% 82.8–85.7 83.9–87.3 1.86 pts — No
75% 82.9–85.6 84.0–87.2 1.53 pts — No
Dr. Lila Shah — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.8–86.3 82.9–88.3 3.42 pts — Yes
90% 81.3–85.8 83.3–87.9 2.53 pts — No
85% 81.5–85.5 83.6–87.6 1.95 pts — No
80% 81.8–85.3 83.8–87.4 1.5 pts — No
75% 81.9–85.1 84.0–87.2 1.13 pts — No
Ice — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 82.0–86.6 83.1–87.9 3.49 pts — No
90% 82.4–86.2 83.5–87.5 2.73 pts — No
85% 82.6–86.0 83.8–87.3 2.24 pts — No
80% 82.8–85.8 84.0–87.1 1.86 pts — No
75% 82.9–85.7 84.1–86.9 1.54 pts — No
Jamal — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 82.1–86.4 83.3–88.0 3.16 pts — No
90% 82.5–86.1 83.7–87.7 2.43 pts — No
85% 82.7–85.9 83.9–87.4 1.96 pts — No
80% 82.9–85.7 84.1–87.2 1.59 pts — No
75% 83.0–85.6 84.3–87.1 1.29 pts — No
Jordan — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.6–86.8 82.9–87.7 3.89 pts — Yes
90% 82.0–86.4 83.3–87.3 3.09 pts — No
85% 82.3–86.1 83.6–87.1 2.57 pts — No
80% 82.5–85.9 83.8–86.9 2.17 pts — No
75% 82.7–85.8 83.9–86.7 1.83 pts — No
Darren "Dimes" Lin — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.5–86.8 82.8–88.2 3.98 pts — Yes
90% 81.9–86.4 83.2–87.7 3.13 pts — No
85% 82.2–86.1 83.5–87.4 2.57 pts — No
80% 82.4–85.9 83.7–87.2 2.14 pts — No
75% 82.6–85.7 83.9–87.0 1.78 pts — No
Maya Jefferson — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.9–86.2 83.1–87.6 3.12 pts — No
90% 82.2–85.9 83.5–87.2 2.41 pts — No
85% 82.4–85.7 83.7–87.0 1.95 pts — No
80% 82.6–85.5 83.9–86.8 1.6 pts — No
75% 82.8–85.3 84.0–86.6 1.3 pts — No
Lexi — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 80.9–87.1 82.3–88.3 4.85 pts — Yes
90% 81.4–86.6 82.7–87.8 3.87 pts — Yes
85% 81.7–86.3 83.1–87.5 3.23 pts — No
80% 82.0–86.0 83.3–87.3 2.73 pts — No
75% 82.2–85.8 83.5–87.1 2.32 pts — No
Coach Sarah Watanabe — WAS at NY — Actual: WAS 86, NY 83
Level WAS range NY range Overlap Tol Warning Actual landed in range?
95% 81.3–85.6 82.0–87.6 3.66 pts — No
90% 81.6–85.3 82.4–87.1 2.86 pts — No
85% 81.9–85.0 82.7–86.8 2.34 pts — No
80% 82.0–84.9 82.9–86.6 1.94 pts — No
75% 82.2–84.7 83.1–86.4 1.61 pts — No