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WNBA · August 5, 2026
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Los Angeles Sparks at Chicago Sky

LAS 88 – CHI 95

August 5, 2026 · Final

Vince Chambers

Best model for this game

Vince Chambers
All models: 11-1
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 LAS at CHI

All 12 models’ predicted scores

LAS — one dot per model CHI — one dot per model Actual: LAS 88, CHI 95
Vince Chambers Tol Warning
LAS 84.4–90.0 CHI 85.3–92.9 Overlap 4.69 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 89.5) over Los Angeles Sparks (avg. 87.0) — by 2.5 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.8–89.6 CHI 86.7–92.7 Overlap 2.93 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 89.5) over Los Angeles Sparks (avg. 87.0) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

LAS 85.1–88.8 CHI 87.0–92.3 Overlap 1.81 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 89.5) over Los Angeles Sparks (avg. 87.0) — by 2.5 points. The ranges overlap some — there's real uncertainty here.

LAS 85.4–88.6 CHI 87.6–91.7 Overlap 0.98 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 89.5) over Los Angeles Sparks (avg. 87.0) — by 2.5 points. The ranges barely touch.

LAS 85.5–88.3 CHI 88.1–91.7 Overlap 0.29 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 89.5) over Los Angeles Sparks (avg. 87.0) — by 2.5 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
-8.07
p-value
8.08e-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.

Reg Tol Warning
LAS 83.3–90.7 CHI 83.5–92.0 Overlap 7.23 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 88.9) over Los Angeles Sparks (avg. 87.0) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–90.1 CHI 84.0–91.5 Overlap 6.16 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 88.9) over Los Angeles Sparks (avg. 87.0) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.3–89.7 CHI 85.4–91.4 Overlap 4.36 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 88.9) over Los Angeles Sparks (avg. 87.0) — by 1.9 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.6–89.4 CHI 86.7–91.3 Overlap 2.78 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 88.9) over Los Angeles Sparks (avg. 87.0) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

LAS 84.8–89.2 CHI 87.1–91.2 Overlap 2.09 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 88.9) over Los Angeles Sparks (avg. 87.0) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Reg (#2)
t-statistic
-5.55
p-value
2.00e-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.

Dr. Wallace Tol Warning
LAS 84.2–89.4 CHI 83.6–92.6 Overlap 5.27 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 88.0) over Los Angeles Sparks (avg. 86.2) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–88.9 CHI 84.1–91.1 Overlap 4.38 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 88.0) over Los Angeles Sparks (avg. 86.2) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.6–88.2 CHI 84.5–90.7 Overlap 3.63 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 88.0) over Los Angeles Sparks (avg. 86.2) — by 1.8 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.7–87.6 CHI 85.0–90.6 Overlap 2.53 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 88.0) over Los Angeles Sparks (avg. 86.2) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

LAS 85.0–87.4 CHI 85.2–90.0 Overlap 2.21 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 88.0) over Los Angeles Sparks (avg. 86.2) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-5.15
p-value
1.35e-06

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
LAS 83.4–89.3 CHI 81.6–93.2 Overlap 5.89 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 87.4) over Los Angeles Sparks (avg. 86.4) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–88.9 CHI 82.5–92.3 Overlap 4.94 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 87.4) over Los Angeles Sparks (avg. 86.4) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–88.5 CHI 83.1–91.7 Overlap 4.32 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 87.4) over Los Angeles Sparks (avg. 86.4) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–88.3 CHI 83.6–91.2 Overlap 3.85 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 87.4) over Los Angeles Sparks (avg. 86.4) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.7–88.1 CHI 84.0–90.8 Overlap 3.46 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 87.4) over Los Angeles Sparks (avg. 86.4) — by 1.0 points. The ranges overlap almost entirely, so one game could go either way.

Show the math
Model
Kevin (#4)
t-statistic
-2.81
p-value
6.19e-03

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
LAS 83.5–88.2 CHI 81.0–90.9 Overlap 4.77 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 85.9) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 83.9–87.9 CHI 81.8–90.1 Overlap 4.0 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 85.9) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.1–87.6 CHI 82.3–89.6 Overlap 3.5 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 85.9) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.3–87.4 CHI 82.7–89.2 Overlap 3.12 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 85.9) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–87.3 CHI 83.0–88.9 Overlap 2.8 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 85.9) over Los Angeles Sparks (avg. 85.9) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-0.26
p-value
7.92e-01

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
LAS 83.7–88.2 CHI 82.5–90.3 Overlap 4.56 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–87.9 CHI 83.1–89.7 Overlap 3.83 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.3–87.6 CHI 83.5–89.3 Overlap 3.35 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–87.4 CHI 83.8–89.0 Overlap 2.98 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.6–87.3 CHI 84.1–88.7 Overlap 2.68 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Ice (#6)
t-statistic
-1.85
p-value
6.76e-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.

Jamal Tol Warning
LAS 83.8–88.2 CHI 83.7–89.9 Overlap 4.45 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.0) over Chicago Sky (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.1–87.9 CHI 83.7–88.4 Overlap 3.74 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.0) over Chicago Sky (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–87.6 CHI 83.9–88.0 Overlap 3.27 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.0) over Chicago Sky (avg. 86.0) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–87.4 CHI 84.0–87.8 Overlap 2.91 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.0) over Chicago Sky (avg. 86.0) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 84.7–87.3 CHI 84.1–87.6 Overlap 2.61 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.0) over Chicago Sky (avg. 86.0) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jamal (#7)
t-statistic
0.03
p-value
9.79e-01

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
LAS 83.9–88.6 CHI 82.6–90.1 Overlap 4.71 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 86.3) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.3–88.2 CHI 83.2–89.5 Overlap 3.95 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 86.3) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.5–88.0 CHI 83.6–89.1 Overlap 3.46 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 86.3) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.7–87.8 CHI 83.9–88.8 Overlap 3.08 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 86.3) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.9–87.6 CHI 84.1–88.6 Overlap 2.76 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 86.3) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Jordan (#8)
t-statistic
-0.41
p-value
6.85e-01

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
LAS 84.4–88.2 CHI 82.4–90.5 Overlap 3.76 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.7–88.1 CHI 83.1–89.8 Overlap 3.32 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 85.1–87.4 CHI 83.5–89.4 Overlap 2.33 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 85.2–87.3 CHI 83.8–89.1 Overlap 2.09 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

LAS 85.2–87.0 CHI 84.1–88.8 Overlap 1.83 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 86.4) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-1.02
p-value
3.09e-01

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
LAS 84.7–90.2 CHI 83.8–91.4 Overlap 5.5 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 86.7) over Los Angeles Sparks (avg. 86.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.8–89.9 CHI 84.1–90.8 Overlap 5.05 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 86.7) over Los Angeles Sparks (avg. 86.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.9–89.1 CHI 84.2–89.7 Overlap 4.21 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 86.7) over Los Angeles Sparks (avg. 86.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.9–88.4 CHI 84.4–89.1 Overlap 3.5 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 86.7) over Los Angeles Sparks (avg. 86.5) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 85.0–87.9 CHI 84.5–88.6 Overlap 2.87 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 86.7) over Los Angeles Sparks (avg. 86.5) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-0.53
p-value
5.94e-01

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
LAS 83.7–88.6 CHI 82.3–91.0 Overlap 4.86 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 86.6) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.1–88.2 CHI 83.0–90.3 Overlap 4.08 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 86.6) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.4–88.0 CHI 83.5–89.8 Overlap 3.57 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 86.6) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.6–87.8 CHI 83.8–89.5 Overlap 3.18 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 86.6) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap almost entirely, so one game could go either way.

LAS 84.8–87.6 CHI 84.1–89.2 Overlap 2.85 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 86.6) over Los Angeles Sparks (avg. 86.2) — by under a point. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Lexi (#11)
t-statistic
-1.70
p-value
9.25e-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.

Coach Sarah Watanabe
LAS 83.0–89.1 CHI 83.4–91.6 Overlap 5.66 pts Actual: LAS 88, CHI 95

In 95 out of 100 simulated runs, leans Chicago Sky (avg. 87.5) over Los Angeles Sparks (avg. 86.0) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.5–88.6 CHI 84.1–90.9 Overlap 4.52 pts Actual: LAS 88, CHI 95

In 90 out of 100 simulated runs, leans Chicago Sky (avg. 87.5) over Los Angeles Sparks (avg. 86.0) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

LAS 83.8–88.3 CHI 84.5–90.5 Overlap 3.77 pts Actual: LAS 88, CHI 95

In 85 out of 100 simulated runs, leans Chicago Sky (avg. 87.5) over Los Angeles Sparks (avg. 86.0) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.0–88.0 CHI 84.8–90.2 Overlap 3.2 pts Actual: LAS 88, CHI 95

In 80 out of 100 simulated runs, leans Chicago Sky (avg. 87.5) over Los Angeles Sparks (avg. 86.0) — by 1.5 points. The ranges overlap almost entirely, so one game could go either way.

LAS 84.2–87.8 CHI 85.1–89.9 Overlap 2.72 pts Actual: LAS 88, CHI 95

In 75 out of 100 simulated runs, leans Chicago Sky (avg. 87.5) over Los Angeles Sparks (avg. 86.0) — by 1.5 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-5.19
p-value
9.86e-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.

View as table
Vince Chambers — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 84.4–90.0 85.3–92.9 4.69 pts Yes No
90% 84.8–89.6 86.7–92.7 2.93 pts Yes No
85% 85.1–88.8 87.0–92.3 1.81 pts Yes No
80% 85.4–88.6 87.6–91.7 0.98 pts Yes No
75% 85.5–88.3 88.1–91.7 0.29 pts Yes No
Reg — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.3–90.7 83.5–92.0 7.23 pts Yes No
90% 83.9–90.1 84.0–91.5 6.16 pts Yes No
85% 84.3–89.7 85.4–91.4 4.36 pts Yes No
80% 84.6–89.4 86.7–91.3 2.78 pts Yes No
75% 84.8–89.2 87.1–91.2 2.09 pts Yes No
Dr. Wallace — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 84.2–89.4 83.6–92.6 5.27 pts Yes No
90% 84.5–88.9 84.1–91.1 4.38 pts Yes No
85% 84.6–88.2 84.5–90.7 3.63 pts Yes No
80% 84.7–87.6 85.0–90.6 2.53 pts Yes No
75% 85.0–87.4 85.2–90.0 2.21 pts Yes No
Kevin — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.4–89.3 81.6–93.2 5.89 pts — No
90% 83.9–88.9 82.5–92.3 4.94 pts — No
85% 84.2–88.5 83.1–91.7 4.32 pts — No
80% 84.5–88.3 83.6–91.2 3.85 pts — No
75% 84.7–88.1 84.0–90.8 3.46 pts — No
Dr. Lila Shah — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.5–88.2 81.0–90.9 4.77 pts — No
90% 83.9–87.9 81.8–90.1 4.0 pts — No
85% 84.1–87.6 82.3–89.6 3.5 pts — No
80% 84.3–87.4 82.7–89.2 3.12 pts — No
75% 84.5–87.3 83.0–88.9 2.8 pts — No
Ice — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.7–88.2 82.5–90.3 4.56 pts — No
90% 84.0–87.9 83.1–89.7 3.83 pts — No
85% 84.3–87.6 83.5–89.3 3.35 pts — No
80% 84.5–87.4 83.8–89.0 2.98 pts — No
75% 84.6–87.3 84.1–88.7 2.68 pts — No
Jamal — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.8–88.2 83.7–89.9 4.45 pts Yes No
90% 84.1–87.9 83.7–88.4 3.74 pts Yes No
85% 84.4–87.6 83.9–88.0 3.27 pts Yes No
80% 84.5–87.4 84.0–87.8 2.91 pts Yes No
75% 84.7–87.3 84.1–87.6 2.61 pts Yes No
Jordan — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.9–88.6 82.6–90.1 4.71 pts — No
90% 84.3–88.2 83.2–89.5 3.95 pts — No
85% 84.5–88.0 83.6–89.1 3.46 pts — No
80% 84.7–87.8 83.9–88.8 3.08 pts — No
75% 84.9–87.6 84.1–88.6 2.76 pts — No
Darren "Dimes" Lin — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 84.4–88.2 82.4–90.5 3.76 pts Yes No
90% 84.7–88.1 83.1–89.8 3.32 pts Yes No
85% 85.1–87.4 83.5–89.4 2.33 pts Yes No
80% 85.2–87.3 83.8–89.1 2.09 pts Yes No
75% 85.2–87.0 84.1–88.8 1.83 pts Yes No
Maya Jefferson — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 84.7–90.2 83.8–91.4 5.5 pts Yes No
90% 84.8–89.9 84.1–90.8 5.05 pts Yes No
85% 84.9–89.1 84.2–89.7 4.21 pts Yes No
80% 84.9–88.4 84.4–89.1 3.5 pts Yes No
75% 85.0–87.9 84.5–88.6 2.87 pts Yes No
Lexi — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.7–88.6 82.3–91.0 4.86 pts — No
90% 84.1–88.2 83.0–90.3 4.08 pts — No
85% 84.4–88.0 83.5–89.8 3.57 pts — No
80% 84.6–87.8 83.8–89.5 3.18 pts — No
75% 84.8–87.6 84.1–89.2 2.85 pts — No
Coach Sarah Watanabe — LAS at CHI — Actual: LAS 88, CHI 95
Level LAS range CHI range Overlap Tol Warning Actual landed in range?
95% 83.0–89.1 83.4–91.6 5.66 pts — No
90% 83.5–88.6 84.1–90.9 4.52 pts — No
85% 83.8–88.3 84.5–90.5 3.77 pts — No
80% 84.0–88.0 84.8–90.2 3.2 pts — No
75% 84.2–87.8 85.1–89.9 2.72 pts — No