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Chicago Sky at Washington Mystics

CHI 93 – WAS 101

September 24, 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 CHI at WAS

All 12 models’ predicted scores

CHI — one dot per model WAS — one dot per model Actual: CHI 93, WAS 101
Vince Chambers
CHI 83.4–88.3 WAS 85.5–90.8 Overlap 2.8 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–87.7 WAS 85.7–90.3 Overlap 2.02 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.7–87.4 WAS 86.1–89.8 Overlap 1.27 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 84.0–87.2 WAS 86.2–89.4 Overlap 0.95 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.2 points. The ranges barely touch.

CHI 84.1–86.9 WAS 86.4–89.1 Overlap 0.49 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.2 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
-16.08
p-value
8.25e-45

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
CHI 83.2–89.6 WAS 84.9–90.3 Overlap 4.68 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.6) — by 2.0 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.5–87.9 WAS 85.3–89.8 Overlap 2.63 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–87.7 WAS 85.6–89.6 Overlap 2.1 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

CHI 83.9–87.3 WAS 85.8–89.3 Overlap 1.45 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

CHI 84.1–87.1 WAS 86.0–89.2 Overlap 1.15 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-14.57
p-value
1.90e-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.

Dr. Wallace
CHI 83.4–88.8 WAS 85.2–90.4 Overlap 3.6 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.6) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.7–88.4 WAS 85.4–89.8 Overlap 2.94 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.6) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–88.0 WAS 85.6–89.7 Overlap 2.41 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.6) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

CHI 83.9–87.7 WAS 85.7–89.4 Overlap 1.93 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.6) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

CHI 84.1–87.5 WAS 86.0–89.1 Overlap 1.54 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.6) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-12.76
p-value
2.66e-31

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
CHI 83.4–89.2 WAS 85.5–90.5 Overlap 3.72 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.7–87.8 WAS 85.6–90.3 Overlap 2.24 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–87.4 WAS 85.8–89.6 Overlap 1.64 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 84.0–87.2 WAS 86.0–89.3 Overlap 1.23 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 84.1–86.7 WAS 86.1–89.1 Overlap 0.63 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges barely touch.

Show the math
Model
Kevin (#4)
t-statistic
-15.11
p-value
1.05e-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.

Dr. Lila Shah
CHI 83.2–88.7 WAS 84.9–90.2 Overlap 3.77 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.3) over Chicago Sky (avg. 85.4) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.4–88.4 WAS 85.4–89.6 Overlap 2.98 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.3) over Chicago Sky (avg. 85.4) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–87.7 WAS 85.7–89.3 Overlap 2.0 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.3) over Chicago Sky (avg. 85.4) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–87.3 WAS 85.8–89.2 Overlap 1.56 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.3) over Chicago Sky (avg. 85.4) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

CHI 84.0–87.2 WAS 85.9–89.0 Overlap 1.3 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.3) over Chicago Sky (avg. 85.4) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-13.00
p-value
3.09e-32

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
CHI 82.9–87.5 WAS 85.5–90.2 Overlap 1.98 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.4) over Chicago Sky (avg. 85.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–87.1 WAS 85.7–89.8 Overlap 1.41 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.4) over Chicago Sky (avg. 85.1) — by 2.4 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–86.7 WAS 85.8–89.4 Overlap 0.96 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.4) over Chicago Sky (avg. 85.1) — by 2.4 points. The ranges barely touch.

CHI 83.7–86.6 WAS 85.9–89.1 Overlap 0.7 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.4) over Chicago Sky (avg. 85.1) — by 2.4 points. The ranges barely touch.

CHI 83.8–86.4 WAS 86.0–89.0 Overlap 0.36 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.4) over Chicago Sky (avg. 85.1) — by 2.4 points. The ranges barely touch.

Show the math
Model
Ice (#6)
t-statistic
-18.73
p-value
7.94e-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.

Jamal
CHI 83.3–88.5 WAS 85.4–90.8 Overlap 3.18 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.2) — by 2.3 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.4–88.2 WAS 85.6–90.0 Overlap 2.53 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.2) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–87.5 WAS 85.8–89.8 Overlap 1.78 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.2) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–87.3 WAS 85.8–89.5 Overlap 1.45 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.2) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

CHI 83.9–87.0 WAS 86.0–89.2 Overlap 1.03 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.2) — by 2.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
-15.67
p-value
5.78e-43

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
CHI 83.3–89.3 WAS 85.5–91.2 Overlap 3.8 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.7) over Chicago Sky (avg. 85.6) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.6–88.4 WAS 85.6–90.6 Overlap 2.78 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.7) over Chicago Sky (avg. 85.6) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 83.7–88.0 WAS 85.8–90.1 Overlap 2.16 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.7) over Chicago Sky (avg. 85.6) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 83.9–87.6 WAS 86.0–89.8 Overlap 1.58 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.7) over Chicago Sky (avg. 85.6) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 84.0–87.4 WAS 86.1–89.3 Overlap 1.36 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.7) over Chicago Sky (avg. 85.6) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-12.90
p-value
8.28e-32

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
CHI 83.5–88.5 WAS 85.2–90.7 Overlap 3.29 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.4) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.7–88.1 WAS 85.6–90.2 Overlap 2.53 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.4) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 83.8–87.3 WAS 85.8–89.6 Overlap 1.53 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.4) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 83.9–87.1 WAS 86.0–89.3 Overlap 1.13 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.4) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 84.1–86.6 WAS 86.0–88.9 Overlap 0.56 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.5) over Chicago Sky (avg. 85.4) — by 2.1 points. The ranges barely touch.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-15.82
p-value
1.08e-43

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
CHI 83.5–88.8 WAS 85.6–90.9 Overlap 3.24 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.1 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.8–88.0 WAS 85.7–90.3 Overlap 2.3 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 83.9–87.7 WAS 85.9–90.0 Overlap 1.85 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 84.0–87.4 WAS 86.0–89.7 Overlap 1.45 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.1 points. The ranges overlap some — there's real uncertainty here.

CHI 84.1–87.0 WAS 86.1–89.5 Overlap 0.89 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.5) — by 2.1 points. The ranges barely touch.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-14.58
p-value
1.61e-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.

Lexi
CHI 82.6–88.2 WAS 85.6–89.8 Overlap 2.64 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.0–87.7 WAS 85.7–89.6 Overlap 2.06 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.3–87.4 WAS 85.9–89.5 Overlap 1.56 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–87.2 WAS 86.1–89.2 Overlap 1.07 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

CHI 83.7–87.0 WAS 86.2–89.0 Overlap 0.8 pts Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 87.6) over Chicago Sky (avg. 85.4) — by 2.2 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
-17.09
p-value
5.73e-49

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
CHI 83.0–89.5 WAS 85.6–92.1 Overlap 3.87 pts Actual: CHI 93, WAS 101

In 95 out of 100 simulated runs, leans Washington Mystics (avg. 88.8) over Chicago Sky (avg. 85.4) — by 3.5 points. The ranges overlap almost entirely, so one game could go either way.

CHI 83.4–88.0 WAS 86.1–91.5 Overlap 1.93 pts Actual: CHI 93, WAS 101

In 90 out of 100 simulated runs, leans Washington Mystics (avg. 88.8) over Chicago Sky (avg. 85.4) — by 3.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.5–87.7 WAS 86.4–91.2 Overlap 1.21 pts Actual: CHI 93, WAS 101

In 85 out of 100 simulated runs, leans Washington Mystics (avg. 88.8) over Chicago Sky (avg. 85.4) — by 3.5 points. The ranges overlap some — there's real uncertainty here.

CHI 83.6–87.3 WAS 86.7–90.9 Overlap 0.59 pts Actual: CHI 93, WAS 101

In 80 out of 100 simulated runs, leans Washington Mystics (avg. 88.8) over Chicago Sky (avg. 85.4) — by 3.5 points. The ranges barely touch.

CHI 83.7–86.8 WAS 86.9–90.7 No overlap Actual: CHI 93, WAS 101

In 75 out of 100 simulated runs, leans Washington Mystics (avg. 88.8) over Chicago Sky (avg. 85.4) — by 3.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-22.46
p-value
8.02e-72

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

View as table
Vince Chambers — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.4–88.3 85.5–90.8 2.8 pts — No
90% 83.6–87.7 85.7–90.3 2.02 pts — No
85% 83.7–87.4 86.1–89.8 1.27 pts — No
80% 84.0–87.2 86.2–89.4 0.95 pts — No
75% 84.1–86.9 86.4–89.1 0.49 pts — No
Reg — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.2–89.6 84.9–90.3 4.68 pts — No
90% 83.5–87.9 85.3–89.8 2.63 pts — No
85% 83.8–87.7 85.6–89.6 2.1 pts — No
80% 83.9–87.3 85.8–89.3 1.45 pts — No
75% 84.1–87.1 86.0–89.2 1.15 pts — No
Dr. Wallace — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.4–88.8 85.2–90.4 3.6 pts — No
90% 83.7–88.4 85.4–89.8 2.94 pts — No
85% 83.8–88.0 85.6–89.7 2.41 pts — No
80% 83.9–87.7 85.7–89.4 1.93 pts — No
75% 84.1–87.5 86.0–89.1 1.54 pts — No
Kevin — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.4–89.2 85.5–90.5 3.72 pts — No
90% 83.7–87.8 85.6–90.3 2.24 pts — No
85% 83.8–87.4 85.8–89.6 1.64 pts — No
80% 84.0–87.2 86.0–89.3 1.23 pts — No
75% 84.1–86.7 86.1–89.1 0.63 pts — No
Dr. Lila Shah — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.2–88.7 84.9–90.2 3.77 pts — No
90% 83.4–88.4 85.4–89.6 2.98 pts — No
85% 83.6–87.7 85.7–89.3 2.0 pts — No
80% 83.8–87.3 85.8–89.2 1.56 pts — No
75% 84.0–87.2 85.9–89.0 1.3 pts — No
Ice — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 82.9–87.5 85.5–90.2 1.98 pts — No
90% 83.3–87.1 85.7–89.8 1.41 pts — No
85% 83.5–86.7 85.8–89.4 0.96 pts — No
80% 83.7–86.6 85.9–89.1 0.7 pts — No
75% 83.8–86.4 86.0–89.0 0.36 pts — No
Jamal — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.3–88.5 85.4–90.8 3.18 pts — No
90% 83.4–88.2 85.6–90.0 2.53 pts — No
85% 83.6–87.5 85.8–89.8 1.78 pts — No
80% 83.8–87.3 85.8–89.5 1.45 pts — No
75% 83.9–87.0 86.0–89.2 1.03 pts — No
Jordan — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.3–89.3 85.5–91.2 3.8 pts — No
90% 83.6–88.4 85.6–90.6 2.78 pts — No
85% 83.7–88.0 85.8–90.1 2.16 pts — No
80% 83.9–87.6 86.0–89.8 1.58 pts — No
75% 84.0–87.4 86.1–89.3 1.36 pts — No
Darren "Dimes" Lin — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.5–88.5 85.2–90.7 3.29 pts — No
90% 83.7–88.1 85.6–90.2 2.53 pts — No
85% 83.8–87.3 85.8–89.6 1.53 pts — No
80% 83.9–87.1 86.0–89.3 1.13 pts — No
75% 84.1–86.6 86.0–88.9 0.56 pts — No
Maya Jefferson — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.5–88.8 85.6–90.9 3.24 pts — No
90% 83.8–88.0 85.7–90.3 2.3 pts — No
85% 83.9–87.7 85.9–90.0 1.85 pts — No
80% 84.0–87.4 86.0–89.7 1.45 pts — No
75% 84.1–87.0 86.1–89.5 0.89 pts — No
Lexi — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 82.6–88.2 85.6–89.8 2.64 pts — No
90% 83.0–87.7 85.7–89.6 2.06 pts — No
85% 83.3–87.4 85.9–89.5 1.56 pts — No
80% 83.5–87.2 86.1–89.2 1.07 pts — No
75% 83.7–87.0 86.2–89.0 0.8 pts — No
Coach Sarah Watanabe — CHI at WAS — Actual: CHI 93, WAS 101
Level CHI range WAS range Overlap Tol Warning Actual landed in range?
95% 83.0–89.5 85.6–92.1 3.87 pts — No
90% 83.4–88.0 86.1–91.5 1.93 pts — No
85% 83.5–87.7 86.4–91.2 1.21 pts — No
80% 83.6–87.3 86.7–90.9 0.59 pts — No
75% 83.7–86.8 86.9–90.7 — pts — No