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Indiana Fever at Los Angeles Sparks

IND 92 – LAS 106

July 8, 2026 · Final

Dr. Lila Shah

Best model for this game

Dr. Lila Shah
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 IND at LAS

All 12 models’ predicted scores

IND — one dot per model LAS — one dot per model Actual: IND 92, LAS 106
Vince Chambers
IND 85.3–90.1 LAS 84.2–87.5 Overlap 2.13 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 85.7–89.7 LAS 84.5–87.2 Overlap 1.49 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.0–89.4 LAS 84.6–87.0 Overlap 1.07 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.2–89.3 LAS 84.8–86.9 Overlap 0.75 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges barely touch.

IND 86.3–89.1 LAS 84.9–86.8 Overlap 0.48 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges barely touch.

Show the math
Model
Vince Chambers (#1)
t-statistic
14.39
p-value
2.44e-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.

Reg
IND 85.3–90.3 LAS 84.0–87.8 Overlap 2.45 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 85.7–89.9 LAS 84.3–87.5 Overlap 1.75 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.0–89.6 LAS 84.5–87.3 Overlap 1.29 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.2–89.4 LAS 84.6–87.1 Overlap 0.94 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges barely touch.

IND 86.4–89.2 LAS 84.8–87.0 Overlap 0.65 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges barely touch.

Show the math
Model
Reg (#2)
t-statistic
13.65
p-value
1.09e-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. Wallace
IND 85.9–89.5 LAS 83.9–87.6 Overlap 1.69 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.0–89.2 LAS 84.2–87.3 Overlap 1.28 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.2–89.0 LAS 84.4–87.1 Overlap 0.88 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges barely touch.

IND 86.3–88.9 LAS 84.6–87.0 Overlap 0.64 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges barely touch.

IND 86.4–88.8 LAS 84.7–86.8 Overlap 0.45 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.8) — by 1.9 points. The ranges barely touch.

Show the math
Model
Dr. Wallace (#3)
t-statistic
13.99
p-value
1.17e-30

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
IND 85.7–89.9 LAS 84.0–87.6 Overlap 1.85 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.8) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.1–89.6 LAS 84.3–87.3 Overlap 1.23 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.8) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.3–89.4 LAS 84.5–87.1 Overlap 0.82 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.8) — by 2.0 points. The ranges barely touch.

IND 86.5–89.2 LAS 84.7–87.0 Overlap 0.51 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.8) — by 2.0 points. The ranges barely touch.

IND 86.6–89.1 LAS 84.8–86.9 Overlap 0.25 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.8) — by 2.0 points. The ranges barely touch.

Show the math
Model
Kevin (#4)
t-statistic
16.30
p-value
6.56e-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. Lila Shah
IND 85.0–89.5 LAS 84.2–87.7 Overlap 2.72 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.3) over Los Angeles Sparks (avg. 86.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

IND 85.4–89.1 LAS 84.5–87.5 Overlap 2.07 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.3) over Los Angeles Sparks (avg. 86.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

IND 85.6–88.9 LAS 84.7–87.3 Overlap 1.65 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.3) over Los Angeles Sparks (avg. 86.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

IND 85.8–88.7 LAS 84.8–87.1 Overlap 1.33 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.3) over Los Angeles Sparks (avg. 86.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

IND 85.9–88.6 LAS 84.9–87.0 Overlap 1.06 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.3) over Los Angeles Sparks (avg. 86.0) — by 1.3 points. The ranges overlap some — there's real uncertainty here.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
10.05
p-value
3.05e-19

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
IND 85.5–90.2 LAS 84.0–87.7 Overlap 2.24 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 85.9–89.8 LAS 84.3–87.4 Overlap 1.56 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.1–89.6 LAS 84.5–87.2 Overlap 1.12 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.3–89.4 LAS 84.6–87.1 Overlap 0.78 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 2.0 points. The ranges barely touch.

IND 86.5–89.2 LAS 84.8–87.0 Overlap 0.49 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 2.0 points. The ranges barely touch.

Show the math
Model
Ice (#6)
t-statistic
14.63
p-value
1.19e-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.

Jamal
IND 85.8–89.9 LAS 84.1–87.9 Overlap 2.13 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 86.0) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

IND 86.1–89.6 LAS 84.4–87.6 Overlap 1.5 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 86.0) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

IND 86.3–89.3 LAS 84.6–87.4 Overlap 1.09 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 86.0) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

IND 86.5–89.2 LAS 84.8–87.3 Overlap 0.77 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 86.0) — by 1.8 points. The ranges barely touch.

IND 86.6–89.0 LAS 84.9–87.1 Overlap 0.51 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 86.0) — by 1.8 points. The ranges barely touch.

Show the math
Model
Jamal (#7)
t-statistic
14.36
p-value
2.68e-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.

Jordan
IND 85.7–89.3 LAS 83.9–87.8 Overlap 2.08 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.8) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

IND 85.8–89.2 LAS 84.2–87.5 Overlap 1.67 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.8) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

IND 86.1–89.0 LAS 84.4–87.2 Overlap 1.18 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.8) — by 1.8 points. The ranges overlap some — there's real uncertainty here.

IND 86.2–88.8 LAS 84.6–87.1 Overlap 0.84 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.8) — by 1.8 points. The ranges barely touch.

IND 86.4–88.8 LAS 84.7–87.0 Overlap 0.58 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.8) — by 1.8 points. The ranges barely touch.

Show the math
Model
Jordan (#8)
t-statistic
12.88
p-value
1.32e-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.

Darren "Dimes" Lin
IND 85.6–90.0 LAS 84.0–87.8 Overlap 2.21 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.0–89.7 LAS 84.3–87.5 Overlap 1.55 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.2–89.5 LAS 84.5–87.3 Overlap 1.12 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges overlap some — there's real uncertainty here.

IND 86.4–89.3 LAS 84.7–87.2 Overlap 0.79 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges barely touch.

IND 86.5–89.1 LAS 84.8–87.0 Overlap 0.51 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.8) over Los Angeles Sparks (avg. 85.9) — by 1.9 points. The ranges barely touch.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
14.48
p-value
1.76e-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.

Maya Jefferson
IND 85.2–90.0 LAS 83.9–87.2 Overlap 1.99 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 85.6–89.6 LAS 84.2–87.0 Overlap 1.4 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 85.9–89.4 LAS 84.4–86.9 Overlap 1.02 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.6) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.1–89.2 LAS 84.5–86.8 Overlap 0.76 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.6) — by 2.0 points. The ranges barely touch.

IND 86.2–89.0 LAS 84.6–86.8 Overlap 0.59 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.6) over Los Angeles Sparks (avg. 85.6) — by 2.0 points. The ranges barely touch.

Show the math
Model
Maya Jefferson (#10)
t-statistic
12.75
p-value
2.00e-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.

Lexi
IND 85.4–90.1 LAS 84.0–87.5 Overlap 2.16 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.7) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 85.7–89.7 LAS 84.2–87.2 Overlap 1.49 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.7) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.0–89.5 LAS 84.4–87.0 Overlap 1.05 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.7) — by 2.0 points. The ranges overlap some — there's real uncertainty here.

IND 86.2–89.3 LAS 84.6–86.9 Overlap 0.72 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.7) — by 2.0 points. The ranges barely touch.

IND 86.3–89.1 LAS 84.7–86.8 Overlap 0.44 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 87.7) over Los Angeles Sparks (avg. 85.7) — by 2.0 points. The ranges barely touch.

Show the math
Model
Lexi (#11)
t-statistic
14.91
p-value
2.91e-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.

Coach Sarah Watanabe
IND 86.3–90.8 LAS 84.1–88.4 Overlap 2.05 pts Actual: IND 92, LAS 106

In 95 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Los Angeles Sparks (avg. 86.0) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

IND 86.4–89.8 LAS 84.5–87.8 Overlap 1.34 pts Actual: IND 92, LAS 106

In 90 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Los Angeles Sparks (avg. 86.0) — by 2.2 points. The ranges overlap some — there's real uncertainty here.

IND 86.6–89.6 LAS 84.6–87.6 Overlap 0.95 pts Actual: IND 92, LAS 106

In 85 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Los Angeles Sparks (avg. 86.0) — by 2.2 points. The ranges barely touch.

IND 87.0–89.4 LAS 84.7–87.5 Overlap 0.47 pts Actual: IND 92, LAS 106

In 80 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Los Angeles Sparks (avg. 86.0) — by 2.2 points. The ranges barely touch.

IND 87.1–89.4 LAS 84.8–87.3 Overlap 0.27 pts Actual: IND 92, LAS 106

In 75 out of 100 simulated runs, leans Indiana Fever (avg. 88.2) over Los Angeles Sparks (avg. 86.0) — by 2.2 points. The ranges barely touch.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
13.08
p-value
3.09e-28

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 — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.3–90.1 84.2–87.5 2.13 pts — No
90% 85.7–89.7 84.5–87.2 1.49 pts — No
85% 86.0–89.4 84.6–87.0 1.07 pts — No
80% 86.2–89.3 84.8–86.9 0.75 pts — No
75% 86.3–89.1 84.9–86.8 0.48 pts — No
Reg — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.3–90.3 84.0–87.8 2.45 pts — No
90% 85.7–89.9 84.3–87.5 1.75 pts — No
85% 86.0–89.6 84.5–87.3 1.29 pts — No
80% 86.2–89.4 84.6–87.1 0.94 pts — No
75% 86.4–89.2 84.8–87.0 0.65 pts — No
Dr. Wallace — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.9–89.5 83.9–87.6 1.69 pts — No
90% 86.0–89.2 84.2–87.3 1.28 pts — No
85% 86.2–89.0 84.4–87.1 0.88 pts — No
80% 86.3–88.9 84.6–87.0 0.64 pts — No
75% 86.4–88.8 84.7–86.8 0.45 pts — No
Kevin — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.7–89.9 84.0–87.6 1.85 pts — No
90% 86.1–89.6 84.3–87.3 1.23 pts — No
85% 86.3–89.4 84.5–87.1 0.82 pts — No
80% 86.5–89.2 84.7–87.0 0.51 pts — No
75% 86.6–89.1 84.8–86.9 0.25 pts — No
Dr. Lila Shah — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.0–89.5 84.2–87.7 2.72 pts — No
90% 85.4–89.1 84.5–87.5 2.07 pts — No
85% 85.6–88.9 84.7–87.3 1.65 pts — No
80% 85.8–88.7 84.8–87.1 1.33 pts — No
75% 85.9–88.6 84.9–87.0 1.06 pts — No
Ice — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.5–90.2 84.0–87.7 2.24 pts — No
90% 85.9–89.8 84.3–87.4 1.56 pts — No
85% 86.1–89.6 84.5–87.2 1.12 pts — No
80% 86.3–89.4 84.6–87.1 0.78 pts — No
75% 86.5–89.2 84.8–87.0 0.49 pts — No
Jamal — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.8–89.9 84.1–87.9 2.13 pts — No
90% 86.1–89.6 84.4–87.6 1.5 pts — No
85% 86.3–89.3 84.6–87.4 1.09 pts — No
80% 86.5–89.2 84.8–87.3 0.77 pts — No
75% 86.6–89.0 84.9–87.1 0.51 pts — No
Jordan — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.7–89.3 83.9–87.8 2.08 pts — No
90% 85.8–89.2 84.2–87.5 1.67 pts — No
85% 86.1–89.0 84.4–87.2 1.18 pts — No
80% 86.2–88.8 84.6–87.1 0.84 pts — No
75% 86.4–88.8 84.7–87.0 0.58 pts — No
Darren "Dimes" Lin — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.6–90.0 84.0–87.8 2.21 pts — No
90% 86.0–89.7 84.3–87.5 1.55 pts — No
85% 86.2–89.5 84.5–87.3 1.12 pts — No
80% 86.4–89.3 84.7–87.2 0.79 pts — No
75% 86.5–89.1 84.8–87.0 0.51 pts — No
Maya Jefferson — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.2–90.0 83.9–87.2 1.99 pts — No
90% 85.6–89.6 84.2–87.0 1.4 pts — No
85% 85.9–89.4 84.4–86.9 1.02 pts — No
80% 86.1–89.2 84.5–86.8 0.76 pts — No
75% 86.2–89.0 84.6–86.8 0.59 pts — No
Lexi — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 85.4–90.1 84.0–87.5 2.16 pts — No
90% 85.7–89.7 84.2–87.2 1.49 pts — No
85% 86.0–89.5 84.4–87.0 1.05 pts — No
80% 86.2–89.3 84.6–86.9 0.72 pts — No
75% 86.3–89.1 84.7–86.8 0.44 pts — No
Coach Sarah Watanabe — IND at LAS — Actual: IND 92, LAS 106
Level IND range LAS range Overlap Tol Warning Actual landed in range?
95% 86.3–90.8 84.1–88.4 2.05 pts — No
90% 86.4–89.8 84.5–87.8 1.34 pts — No
85% 86.6–89.6 84.6–87.6 0.95 pts — No
80% 87.0–89.4 84.7–87.5 0.47 pts — No
75% 87.1–89.4 84.8–87.3 0.27 pts — No